diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
new file mode 100644
index 000000000..d85117f61
--- /dev/null
+++ b/.devcontainer/Dockerfile
@@ -0,0 +1,24 @@
+# Use the official Node.js image as a base image
+FROM node:latest
+
+# Set the working directory in the container
+WORKDIR /usr/src/app
+
+# Install Firebase CLI
+RUN npm install -g firebase-tools
+
+# Install Hugo
+# The following commands fetch the latest version of Hugo, install it, and clean up
+RUN wget -q -O hugo.deb https://github.com/gohugoio/hugo/releases/download/$(wget -q -O - https://api.github.com/repos/gohugoio/hugo/releases/latest | grep -oP '"tag_name": "\K(.*)(?=")')/hugo_extended_$(wget -q -O - https://api.github.com/repos/gohugoio/hugo/releases/latest | grep -oP '"tag_name": "\K(.*)(?=")')_Linux-64bit.deb && \
+    dpkg -i hugo.deb && \
+    rm -f hugo.deb
+
+# Copy your project files into the container
+COPY . .
+
+# Expose ports for Hugo and Firebase (adjust as necessary)
+EXPOSE 1313 5000
+
+# (Optional) Define default command to run your application
+# For example, starting a Hugo server
+# CMD ["hugo", "server", "-D", "--bind", "0.0.0.0"]
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
new file mode 100644
index 000000000..5f66bc3ae
--- /dev/null
+++ b/.devcontainer/devcontainer.json
@@ -0,0 +1,8 @@
+{
+    "name": "my-project-devcontainer",
+    "image": "mcr.microsoft.com/devcontainers/base:ubuntu",  // Any generic, debian-based image.
+    "features": {
+        "ghcr.io/devcontainers/features/hugo:1": {},
+        "ghcr.io/devcontainers-contrib/features/firebase-cli:2": {},
+    }
+}
diff --git a/.firebase/hosting.cHVibGlj.cache b/.firebase/hosting.cHVibGlj.cache
new file mode 100644
index 000000000..f3e456f00
--- /dev/null
+++ b/.firebase/hosting.cHVibGlj.cache
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diff --git a/.firebaserc b/.firebaserc
new file mode 100644
index 000000000..9b70f7159
--- /dev/null
+++ b/.firebaserc
@@ -0,0 +1,5 @@
+{
+  "projects": {
+    "default": "universal-canadiandataguy"
+  }
+}
diff --git a/.frontmatter/database/mediaDb.json b/.frontmatter/database/mediaDb.json
new file mode 100644
index 000000000..9e26dfeeb
--- /dev/null
+++ b/.frontmatter/database/mediaDb.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
deleted file mode 100644
index e4bb33193..000000000
--- a/.github/FUNDING.yml
+++ /dev/null
@@ -1,3 +0,0 @@
-github: ryanfox1985
-patreon: ryanfox1985
-custom: https://paypal.me/ryanfox1985
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
deleted file mode 100644
index 5902c1020..000000000
--- a/.github/workflows/build.yml
+++ /dev/null
@@ -1,23 +0,0 @@
-name: Build project with Hugo
-on: [push, pull_request]
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: ./exampleSite    
-    steps:
-      - uses: actions/checkout@v2
-        with:
-          submodules: true  # Fetch Hugo themes (true OR recursive)
-          fetch-depth: 0    # Fetch all history for .GitInfo and .Lastmod
-
-      - name: Setup Hugo
-        uses: peaceiris/actions-hugo@v2
-        with:
-          hugo-version: 'latest'
-          extended: true
-
-      - name: Build
-        run: | 
-          hugo --minify
diff --git a/.github/workflows/build_ai.yml b/.github/workflows/build_ai.yml
new file mode 100644
index 000000000..ba02de51b
--- /dev/null
+++ b/.github/workflows/build_ai.yml
@@ -0,0 +1,40 @@
+name: Build project with Hugo AI
+on: [push, pull_request]
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    env:
+      FIREBASE_TOKEN: ${{ secrets.FIREBASE_TOKEN }}
+    defaults:
+      run:
+        working-directory: ./universal-canadiandataguy          
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+        with:
+          submodules: true
+          fetch-depth: 0
+
+      - name: Setup Hugo
+        uses: peaceiris/actions-hugo@v2
+        with:
+          hugo-version: latest
+          extended: true
+
+      - name: Build Site with Hugo
+        run: hugo
+
+      - name: pwd
+        run: pwd
+
+
+      - name: List output for current dir
+        run: ls -l .
+
+      - name: List output for debugging
+        run: ls -l ./public
+
+      - name: Deploy to Firebase
+        uses: w9jds/firebase-action@master
+        with:
+          args: deploy --only hosting
\ No newline at end of file
diff --git a/.github/workflows/deploy-gh-pages.yml b/.github/workflows/deploy-gh-pages.yml
deleted file mode 100644
index 92b274e91..000000000
--- a/.github/workflows/deploy-gh-pages.yml
+++ /dev/null
@@ -1,33 +0,0 @@
-name: Deploy Github pages
-on:
-  push:
-    branches:
-      - master  # Set a branch to deploy
-jobs:
-  deploy:
-    runs-on: ubuntu-latest
-    defaults:
-      run:
-        working-directory: ./exampleSite    
-    steps:
-      - uses: actions/checkout@v2
-        with:
-          submodules: true  # Fetch Hugo themes (true OR recursive)
-          fetch-depth: 0    # Fetch all history for .GitInfo and .Lastmod
-
-      - name: Setup Hugo
-        uses: peaceiris/actions-hugo@v2
-        with:
-          hugo-version: 'latest'
-          extended: true
-
-      - name: Build
-        run: | 
-          hugo --minify
-
-      - name: Deploy
-        uses: peaceiris/actions-gh-pages@v3
-        with:
-          github_token: ${{ secrets.GITHUB_TOKEN }}
-          publish_dir: ./exampleSite/public  # if not specified it defaults to ./public. source directory of the built files to make the deploy (must match the build to directory in config.toml), eg ./docs, ./public, ./exampleSite/public
-          
diff --git a/.github/workflows/eslint.yml b/.github/workflows/eslint.yml
deleted file mode 100644
index 37929bd01..000000000
--- a/.github/workflows/eslint.yml
+++ /dev/null
@@ -1,22 +0,0 @@
-name: Eslint
-on: [push, pull_request]
-jobs:
-  linters:
-    name: Run Eslint
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Check out Git repository
-        uses: actions/checkout@v2
-
-      - name: Set up Node.js
-        uses: actions/setup-node@v1
-        with:
-          node-version: 12
-
-      # ESLint and Prettier must be in `package.json`
-      - name: Install Node.js dependencies
-        run: npm ci
-
-      - name: Run eslint
-        run: npm run eslint
diff --git a/.github/workflows/slack-notify.yml b/.github/workflows/slack-notify.yml
deleted file mode 100644
index f6aaa226f..000000000
--- a/.github/workflows/slack-notify.yml
+++ /dev/null
@@ -1,12 +0,0 @@
-name: Slack Notification
-on: push
-jobs:
-  slackNotification:
-    name: Slack Notification
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v2
-    - name: Slack Notification
-      uses: rtCamp/action-slack-notify@v2
-      env:
-        SLACK_WEBHOOK: ${{ secrets.SLACK_WEBHOOK }}
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 19ee8876c..d7a1be4a9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,4 @@
 .DS_Store
-public/
 npm-debug.log
 /node_modules/*
-exampleSite/.hugo_build.lock
+exampleSite/.hugo_build.lock
\ No newline at end of file
diff --git a/.hugo_build.lock b/.hugo_build.lock
new file mode 100644
index 000000000..e69de29bb
diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 000000000..c53facf8f
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,9 @@
+{
+    "github.copilot.enable": {
+
+        "*": true,
+        "yaml": false,
+        "plaintext": true,
+        "markdown": true
+    }
+}
\ No newline at end of file
diff --git a/README.md b/README.md
index 44af8c47a..17bd3a477 100644
--- a/README.md
+++ b/README.md
@@ -1,7 +1,4 @@
-# Universal Theme for Hugo
-
-[![Code Climate](https://codeclimate.com/github/devcows/hugo-universal-theme/badges/gpa.svg)](https://codeclimate.com/github/devcows/hugo-universal-theme)
-
+# Universal Theme for Hugo | Canadian Data Guy
 Universal is a clean and stylish website template built with [Bootstrap](https://getbootstrap.com/docs/3.4/getting-started/). It stands out with its clean design and elegant typography.
 
 Demo site: [https://devcows.github.io/hugo-universal-theme](https://devcows.github.io/hugo-universal-theme/)
@@ -17,7 +14,7 @@ This Hugo theme was ported from [Bootstrapious](http://bootstrapious.com/p/unive
 
 ## Table of Contents
 
-- [Universal Theme for Hugo](#universal-theme-for-hugo)
+- [Universal Theme for Hugo | Canadian Data Guy](#universal-theme-for-hugo--canadian-data-guy)
   - [Table of Contents](#table-of-contents)
   - [Features](#features)
   - [Installation](#installation)
@@ -31,6 +28,7 @@ This Hugo theme was ported from [Bootstrapious](http://bootstrapious.com/p/unive
     - [Menu](#menu)
     - [Sidebar widgets](#sidebar-widgets)
     - [Top bar](#top-bar)
+    - [Menu behavior](#menu-behavior)
     - [Blog post thumbnails](#blog-post-thumbnails)
     - [Landing page](#landing-page)
       - [Carousel](#carousel)
diff --git a/config.toml b/config.toml
new file mode 100644
index 000000000..52f20d12f
--- /dev/null
+++ b/config.toml
@@ -0,0 +1,284 @@
+baseURL = 'https://canadiandataguy.com/' # Configure URL. if using gh-pages https://github.com/<username>/hugo-universal-theme URL: https://<username>.github.io/hugo-universal-theme/
+title = "Canadian Data Guy"
+theme = "hugo-universal-theme"
+
+languageCode = "en-us"
+# Site language. Available translations in the theme's `/i18n` directory.
+defaultContentLanguage = "en"
+
+# Enable Google Analytics by entering your tracking code
+googleAnalytics = ""
+
+# number of words of summarized post content (default 70)
+summaryLength = 70
+
+# Define the number of posts per page
+paginate = 10
+
+# not pluralize title pages by default
+pluralizelisttitles = false
+
+[menu]
+
+
+# Main menu
+[[menu.main]]
+    name       = "Home"
+    identifier = "menu.home"
+    url        = "/"
+    weight     = 1
+
+[[menu.main]]
+    name       = "Interview Coaching"
+    identifier = "menu.coaching"
+    weight     = 7
+
+[[menu.main]]
+    name       = "Youtube"
+    url        = "/blog/youtube/"
+    weight     = 1
+    parent     = "menu.coaching"
+
+[[menu.main]]
+    name       = "how to prepare for data interviews"
+    url        = "/blog/howtoprepareyourselftobebetteratdatainterviews"
+    weight     = 2
+    parent     = "menu.coaching"
+
+
+[[menu.main]]
+    name       = "1 on 1 coaching"
+    identifier = "coaching.1-on-1"
+    url        = "/blog/1-on-1-coaching/"
+    weight     = 3
+    parent     = "menu.coaching"    
+
+
+[[menu.main]]
+    name       = "Blog"
+    identifier = "menu.blog"
+    url        = "/blog/"
+    weight     = 2
+
+
+[[menu.main]]
+    name       = "Portfolio"
+    identifier = "menu.portfolio"
+    weight     = 4
+
+[[menu.main]]
+    name       = "Databricks Customer Success Stories"
+    url        = "/Databricks Customer Success Stories/"
+    weight     = 1
+    parent     = "menu.portfolio"
+    post       = 1
+
+[[menu.main]]
+    identifier = "About Me"
+    name       = "About Me"
+    url        = "/About Me/"
+    weight     = 10
+
+
+
+[[menu.main]]
+    identifier = "contact"
+    name       = "Contact"
+    url        = "/contact/"
+    weight     = 10
+
+
+# Top bar social links menu
+
+[[menu.topbar]]
+    weight = 0
+    name = "LinkedIn"
+    url = "https://www.linkedin.com/in/canadiandataguy/"
+    pre = "<i class='fab fa-2x fa-linkedin'></i>"
+
+
+[[menu.topbar]]
+    weight = 3
+    name = "Medium"
+    url = "https://canadiandataguy.medium.com/"
+    pre = "<i class='fab fa-2x fa-medium'></i>"
+
+[[menu.topbar]]
+    weight = 4
+    name = "Telegram"
+    url = "https://t.me/+12065656859"
+    pre = "<i class='fab fa-2x fa-telegram' style='color:auto'></i>"
+
+[[menu.topbar]]
+    weight = 5
+    name = "Email"
+    url = "mailto:info@univercanadiandataguy.com"
+    pre = "<i class='fas fa-2x fa-envelope' style='color:auto'></i>"
+
+[params]
+    viewMorePostLink = "/blog/"
+    author = "Canadian Data Guy"
+    defaultKeywords = ["devcows", "hugo", "go"]
+    mainSections = ["blog"]
+    defaultDescription = ""
+
+    # Social media
+    default_sharing_image = "img/Canadian Data Guy-logos.jpeg"
+
+    # Google Maps widget: If `googleMapsApiKey` is not set, no key will be passed to Google (which likely results in a broken map widget).
+    enableGoogleMaps = false
+    googleMapsApiKey = "AIzaSyAf9JH9E4ZX5cYPmphSN3cY5TI5YbZ6A3I"
+
+    latitude = "-12.043333"
+    longitude = "-77.028333"
+
+    # Style options: default (light-blue), blue, green, marsala, pink, red, turquoise, violet
+    style = "red"
+
+    # Since this template is static, the contact form uses www.formspree.io as a
+    # proxy. The form makes a POST request to their servers to send the actual
+    # email. Visitors can send up to a 50 emails each month for free.
+    #
+    # What you need to do for the setup?
+    #
+    # - register your account to https://formspree.io/register
+    # - login and create new form
+    # - set your form's endpoint url under 'formspree_action' below
+    # - upload the generated site to your server
+    # - test a dummy email yourself
+    # - you're done. Happy mailing!
+    #
+    # Enable the contact form by entering your Formspree.io endpoint url
+    #formspree_action = "https://formspree.io/sample/of/endpoint"
+    formspree_action ="https://formspree.io/f/xayzjrzy"
+    contact_form_ajax = false
+
+    # Formspree form supports Google reCAPTCHA Key (type v2).
+    # If you use this feature, you should enable reCAPTCHA feature in the Formspree dashboard.
+    #
+    # By default, Formspree use a redirect page for recaptcha widget.
+    # If you use a recaptcha widget in your contact page, you should do next steps.
+    # (if you don't want, skip these steps)
+    #
+    #   1. register your site on Google recaptcha admin page: https://www.google.com/recaptcha/admin
+    #   2. select reCAPTCHA v2 and checkbox widget type.
+    #   3. remember site key and secret key.
+    #   4. enter secret key into "Custom reCAPTCHA Key" field in your Formspree form setting page.
+    #   5. change `enableRecaptchaInContactForm` is to false
+    #   6. enter site key into `googleRecaptchaKey` to enable a recaptcha widget in your page.
+    #
+    enableRecaptchaInContactForm = false
+    googleRecaptchaKey = "6Ldc1QUlAAAAAO_4M9cklpnsjsPyUGku5sOZ4BVf"
+
+    about_us = "<p>We offer expertise and consulting in data engineering, analytics and cloud computing.</p>"
+    copyright = "Copyright (c) 2023, Canadian Data Guy Corp; all rights reserved."
+
+    # Format dates with Go's time formatting
+    #date_format = "6 January 2006"
+    date_format = "January 2, 2006"
+
+    dropdown_mouse_over = true
+
+    disabled_logo = false
+    logo_text = "Canadian Data Guy"
+
+    logo = "img/cdg5.png"
+    logo_small = "img/cdg5.png"
+    contact_url = "/contact"
+    address = """<p class="text-uppercase"><strong>Canadian Data Guy Corp.</strong>
+        <br>Calgary, Canada
+        </p>
+      """
+
+[permalinks]
+    blog = "/blog/:filename/"
+
+# Enable or disable top bar with social icons
+[params.topbar]
+    enable = false
+
+
+# Enable and disable widgets for the right sidebar
+[params.widgets]
+    categories = true
+    tags = true
+    search = false
+
+[params.carouselCustomers]
+    items = 3
+    auto_play = false
+    slide_speed = 3000
+    pagination_speed = 1000
+
+[params.carouselTestimonials]
+    items = 4
+    auto_play = true
+    slide_speed = 2000
+    pagination_speed = 1000
+
+[params.carouselHomepage]
+    # All carousel items are defined in their own files. You can find example items
+    # at 'exampleSite/data/carousel'.
+    # For more information take a look at the README.
+    #enable = trueMakes 
+    auto_play = true
+    slide_speed = 2000
+    pagination_speed = 1000
+
+[params.features]
+    enable = true
+    cols = 3 # Default: 3, Available values 2,3,4,6
+    # All features are defined in their own files. You can find example items
+    # at 'exampleSite/data/features'.
+    # For more information take a look at the README.
+
+[params.testimonials]
+    enable = true
+    # All testimonials are defined in their own files. You can find example items
+    # at 'exampleSite/data/testimonials'.
+    # For more information take a look at the README.
+    title = "What People Say About Me?"
+    subtitle = ""
+
+[params.coachingtestimonials]
+    enable = false
+    # All testimonials are defined in their own files. You can find example items
+    # at 'exampleSite/data/testimonials'.
+    # For more information take a look at the README.
+    title = "Coaching Reviews "
+    subtitle = ""
+
+[params.clients]
+    enable = false
+    # All clients are defined in their own files. You can find example items
+    # at 'exampleSite/data/clients'.
+    # For more information take a look at the README.
+    title = "Our Clients"
+    subtitle = ""
+
+[params.recent_posts]
+    enable = true
+    title = "From our blog"
+    subtitle = ""
+    hide_summary = false
+
+[params.footer.recent_posts]
+    enable = false
+
+[taxonomies]
+  category = "categories"
+  tag = "tags"
+  author = "authors"
+
+
+
+[params.shareButtons]
+  size = "medium"
+  networks = ["linkedin", "email", "telegram"]
+
+[params.social.share]
+  facebook = false
+  linkedin = true
+  twitter = false
+  whatsapp = false
+  email = true
\ No newline at end of file
diff --git a/content/About Me.md b/content/About Me.md
new file mode 100644
index 000000000..14716fece
--- /dev/null
+++ b/content/About Me.md	
@@ -0,0 +1,30 @@
++++
+title = "About Me"
+id = "about_me"
+shareButtons = false
++++
+
+I am an end-to-end Full Stack Data Developer who can set up infrastructures, design the architecture, build data pipelines, and productionalize with DevOps. I have spent six years in AWS & Amazon as a Data Architect/Engineer and have a proven record of taking multi-petabyte workloads to production while ensuring minimum operational burden. I also have hands-on experience in Streaming and Batch Analytics, including real-time applications. Having worked remotely for around 6+ years, I’ve learned to avoid the pitfalls of distributed team communication.
+ 
+
+My goal is to democratize knowledge and help remove the barrier of the hype around Big Data. I write on topics such as real-time data streaming, data architecture, salary negotiation, financial literacy, and more.
+
+
+
+In my free time, I love to travel so much so that in April 2022, I finished my 12-month-long road trip across Canada.
+Alright, now click on a few buttons and scroll through the pages to learn more about me and how I can help you. See you on the other side!
+
+
+## Career Timeline
+* 2022 - Present: Specialist Data Architect at Databricks
+* 2015 - 2022: Data Engineer, Data Architect at Amazon/AWS
+* 2014 - 2015: Data Engineer, ZS Associates
+* 2012 - 2014: Business Intelligence Engineer, TCS
+
+## Education
+* Master of Science in Big Data from Simon Fraser University, Canada
+* Bachelor of Technology from GGSIPU
+  
+
+
+
diff --git a/content/Databricks Customer Success Stories.md b/content/Databricks Customer Success Stories.md
new file mode 100644
index 000000000..2cf9d6362
--- /dev/null
+++ b/content/Databricks Customer Success Stories.md	
@@ -0,0 +1,25 @@
++++
+title = "Databricks Customer Stories"
++++
+
+**I have worked with multiple customers on their data journey. Here are some of the public stories that I have co-authored with them.**
+
+
+---------------------------------------
+----------------------------------------
+
+## Audantic
+To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code. [We were able to achieve a 73% reduction in the time it took our pipeline to run as well as saving 21% on the cost of the run.](https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html)
+
+
+Ref: https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html
+
+---------------------------------------
+----------------------------------------
+
+## Arc Resources
+[ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures](https://www.databricks.com/blog/2022/05/24/arc-uses-a-lakehouse-architecture-for-real-time-data-insights-that-optimize-drilling-performance-and-lower-carbon-emissions.html). 
+  In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations. 
+
+
+Ref: https://www.databricks.com/blog/2022/05/24/arc-uses-a-lakehouse-architecture-for-real-time-data-insights-that-optimize-drilling-performance-and-lower-carbon-emissions.html
\ No newline at end of file
diff --git a/content/blog/1-on-1-coaching.md b/content/blog/1-on-1-coaching.md
new file mode 100644
index 000000000..a213388ed
--- /dev/null
+++ b/content/blog/1-on-1-coaching.md
@@ -0,0 +1,32 @@
++++
+title = "1 on 1 Interview Coaching"
+tags = ["coaching","interviewing"]
+categories = ["coaching"]
+banner = "https://images.unsplash.com/photo-1455849318743-b2233052fcff?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxzZWFyY2h8Mnx8MSUyMG9uJTIwMSUyMEludGVydmlldyUyMENvYWNoaW5nfGVufDB8fDB8fA%3D%3D&auto=format&fit=crop&w=500&q=60"
++++
+
+**Welcome! I am a [Super Coach](https://app.igotanoffer.com/coaching/tech/jitesh/)** . I have worked at some of the biggest tech companies, including Databricks & Amazon.  I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.
+
+
+<br>
+<br>
+## What actions can candidates take to stand out?
+* Blog your learnings: They do not have to be perfect but document your understanding.
+* Contribute to a open source project even in a small way; it still counts a lot.
+* Create public facing material in any form.
+* Create your own website and curate your material. Tip: Google Sites will let you create one for free.
+* It is essential to build a public portfolio of projects relevant to your target companies (and their business domain) so that you already come across as an attractive candidate to the hiring managers and teams.
+ 
+
+-----------------
+## How can you book a session ?
+Please have a look at all the free content. Read the blog posts, watch the videos, and read the articles. If you are still interested in working with me, you can book a session with me.
+
+You can book me from [Stripe]((https://book.stripe.com/aEU2al4VXdVp6FG7st)) or [Interview Query](https://www.interviewquery.com/coaching) or [I Got An Offer](https://app.igotanoffer.com/coaching/tech/jitesh/).
+* [Book a 45 mins 1:1](https://book.stripe.com/aEU2al4VXdVp6FG7st) introductory video call with me focused on jobs, careers, etc.
+* [Book a 1 hr 30 min](https://book.stripe.com/7sI8yJewx5oTe88000) Coaching call focused mock interviews  and preparation. 
+
+
+
+
+---------------------------------
\ No newline at end of file
diff --git a/content/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users.md b/content/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users.md
new file mode 100644
index 000000000..d51e4153f
--- /dev/null
+++ b/content/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users.md
@@ -0,0 +1,91 @@
+---
+title: Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users
+description: ""
+date: 2023-04-19T01:04:45.471Z
+preview: ""
+draft: false
+tags : ["delta"]
+categories : ["best practices","spark streaming"]
+banner: "https://miro.medium.com/v2/resize:fit:720/format:webp/0*cz6kE2uu4BUvfTo6.jpg"
+---
+
+## Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users
+
+Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+
+The below checklist is not ordered, you should aim to check off as many items as you can.
+
+![](https://cdn-images-1.medium.com/max/5200/0*cz6kE2uu4BUvfTo6.jpg)
+
+## Beginners best practices checklist for Spark Streaming:
+
+* [ ] Choose a trigger interval over nothing at all because it helps control storage transaction api/Listing costs. This is because some Spark jobs have a component which requires a s3/adls listing operation. If our processing is very fast think <1 sec, we will keep repeating these operations and lead to unintended costs. Example .trigger(processingTime=’5 seconds’)
+
+* [ ] Use ADLS Gen2 on Azure over blob storage as it’s better suited for big data analytics workloads. [Read more on the differences here.](https://medium.com/awesome-azure/azure-difference-between-azure-blob-storage-and-azure-data-lake-storage-comparison-azure-blob-vs-adls-gen2-81af5ef2a6e1)
+
+* [ ] Make sure the table partition strategy is chosen carefully and on low cardinality columns like date , region, country, etc. My rough rule of thumb says, if you have more than 100,000 partitions then you have over-partitioned your table. Date columns make a good partition column because they occur naturally. Example for a multinational e-commerce company which operates in 20 countries and wants to store 10 years of data. Once you partition by date & country =( 365 * 10 ) * 20 = you will end up with 73,000 partitions.
+
+* [ ] Name your streaming query so it is easily identifiable in the Spark UI Streaming tab.
+
+.option(“queryName”, “IngestFromKafka”)
+
+    (input_stream
+       .select(col("eventId").alias("key"), to_json(struct(col('action'), col('time'), col('processingTime'))).alias("value"))
+       .writeStream
+       .format("kafka")
+       .option("kafka.bootstrap.servers", kafka_bootstrap_servers_plaintext )
+       .option("kafka.security.protocol", "to_be_filled")
+       .option("checkpointLocation", checkpoint_location )
+       .option("topic", topic)
+       .option("queryName", "IngestFromKafka")
+       .start()
+    )
+
+    
+    spark.readStream.format(“kinesis”).**option(“streamName”, stream_name)
+    **
+
+* [ ] Each stream must have its own checkpoint; streams must never share checkpoints. Example, if you have 2 separate streams of different sources and data needs to be written to a single delta table. You should create 2 separate checkpoints and not share a common one. You can find an example with code [here](https://canadiandataguy.medium.com/merge-multiple-spark-streams-into-a-delta-table-44301fd549bd).
+
+* [ ] Don’t run multiple streams on the same driver; if such requirements are there, please benchmark it by running the streams for a few days and watch for stability over driver-related issues. Multiplexing on the same cluster is generally not recommended.
+
+* [ ] Partition size of data in memory should be between 100–200MB. Use Spark UI and alter maxFilesPerTrigger & maxBytesPerTrigger to achieve these partition sizes of around 100–200 MB.
+
+* [ ] Check if a sort merge join can be changed to Broadcast hash join. Only possible if the dataset being joined is small. The dataset being broadcasted should be around 100 MB. Increase auto-broadcast hash join threshold to 1gb if needed try a bigger instance family.
+
+## Advanced best practices checklist for Spark Streaming:
+
+* Establish a naming convention for your checkpoint: Over the course of the life of your table, you will end up having multiple checkpoints due to application upgrades, logic changes, etc. Give your checkpoint a meaningful name something which tells the following:
+  * Target table name
+  * Starting timestamp: When the checkpoint came into existence
+  * Example naming conventions can be :
+    * Generic {table_location}/_checkpoints/_{target_table_name}_starting_timestamp{_actual_timestamp[}](https://lablab.ai/event)
+    * If source is Delta then use startingVersion {table_location}/_checkpoints/_{target_table_name}_startingVersion{_startingVersion[}](https://lablab.ai/event)
+
+* See Shuffle Spill (Disk) on Spark UI to be as minimum as possible. Ideally zero only shuffle read should be there. Shuffle spill disappears from UI if it’s zero.
+
+* Use rocks DB , if there are stateful transformations.
+
+* Prefer to Azure Event Hub using it it’s Kafka connector. For Azure EventHubs, the number of cores must be == to number of partitions. With Kafka connector it is different, as it can split Kafka partition into multiple Spark partitions, and this is one of the reasons to go with Kafka protocol on EventHubs.
+
+* If there is state always have a watermark so it can clean itself. In case you need to have infinite state, recommend you to store that in a Delta table and zorder on necessary column so lookups are fast.
+
+* At big scale, think close to Trillions of records in state store. If there is a deduplicate requirement, use delta merge approach over drop duplicate to avoid state store growing very large.
+
+* Azure instance family choices:
+  * F-series for map-heavy streams — parsing, json deserialization, etc.
+  * Fsv2-series if doing multiple streams from the same source or need a little spill space.
+  * DS_v2-series for streams that join tables or do aggregations. Also for delta optimize (both bin-packing and Z-Ordering) scheduled jobs
+  * L series has direct attached SSD which helps Delta caching
+
+* Don’t set the sql.shuffle.partitions too high — ideally they should be set to be equal to the total number of worker cores. You will need to clear the check point if it is not changing. It is because checkpoint has stored this information and is using that.
+
+## References:
+
+ 1. [best practices from this page](https://docs.microsoft.com/en-us/azure/databricks/structured-streaming/production)
+
+ 2. [youtube video](https://www.youtube.com/watch?v=u2YItAN7TDg&t=1974s) with tips on how to scale at production
+
+### Footnote:
+
+Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website [**CanadianDataGuy.com](https://canadiandataguy.com)** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.
\ No newline at end of file
diff --git a/content/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python.md b/content/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python.md
new file mode 100644
index 000000000..d8474de7d
--- /dev/null
+++ b/content/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python.md
@@ -0,0 +1,117 @@
+---
+title: "A Productive Life: How to Parallelize Code Execution in Python"
+description: ""
+date: 2023-04-23T21:38:16.119Z
+preview: ""
+draft: false
+tags: ["python","cost-savings", "parallelization"]
+categories: []
+banner: "https://cdn-images-1.medium.com/max/9400/0*Bsp64aQg2c2IYu9R"
+---
+
+
+# A Productive Life: How to Parallelize Code Execution in Python
+
+Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version. We will explore 3 examples here:
+
+## Example 1: Asyncio Tasks / create_task()
+
+In asyncio, a task is a unit of work that is scheduled to run on the event loop. Tasks are created from coroutines, which are functions that are defined using the async def syntax and that can suspend their execution using the await keyword.
+
+To create a task, we use the asyncio.create_task() function, which takes a coroutine as its argument and returns a Task object. We can then schedule the task to run on the event loop using the await keyword.
+
+Here’s an example:
+
+    import asyncio
+    
+    async def function_which_will_run_in_parallel():
+        # Add what you want to do here
+        print('function_which_will_run_in_parallel completed')
+    
+    # Orchestrate function 
+    async def main():
+        task = asyncio.create_task(function_which_will_run_in_parallel())
+        await task
+    
+    asyncio.run(main())
+
+In this example, we define a simple function_which_will_run_in_parallel() that waits for one second and then prints a message. In the main() function, we create a Task object using asyncio.create_task() and pass it the function.
+
+We then await the completion of the task using await task. When we run the main() using asyncio.run(), the Task object is created and scheduled on the event loop, which runs the function_which_will_run_in_parallel() function asynchronously. Once the function_which_will_run_in_parallel() function is complete, the Task object is marked as done, and the program exits.
+
+![Photo by [Sarah Dorweiler](https://unsplash.com/@sarahdorweiler?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/9400/0*Bsp64aQg2c2IYu9R)
+
+## Example 2: Running Tasks in Parallel
+
+In asyncio, we can run tasks in parallel using the asyncio.gather() function. This function takes one or more coroutines/functions as its arguments and returns a list of their results.
+
+Here’s an example:
+
+    import asyncio
+    
+    async def coroutine1():
+        await asyncio.sleep(1)
+        return 'Coroutine 1 completed'
+    async def coroutine2():
+        await asyncio.sleep(2)
+        return 'Coroutine 2 completed'
+    
+    async def main():
+        results = await asyncio.gather(coroutine1(), coroutine2())
+        print(results)
+    asyncio.run(main())
+
+In this example, we define two coroutines, coroutine1() and coroutine2(), that wait for one and two seconds, respectively, before returning a message.
+
+In the main() coroutine function, we use the asyncio.gather() function to run the two coroutines in parallel. We pass coroutine1() and coroutine2() as its arguments and use await to wait for both coroutines to complete.
+
+When both coroutines are complete, the asyncio.gather() function returns a list of their results, which we print to the console.
+
+## Example 3: Running tasks in parallel with a loop
+
+In this example, we define an asynchronous coroutine function fetch() that uses the aiohttp library to download the contents of a given URL. We then define the main() coroutine function that creates a list of URLs to download and uses asyncio.create_task() to create a task for each URL. We then use asyncio.gather() to wait for all tasks to complete and return their results.
+
+The async with aiohttp.ClientSession() context manager is used to create a session object that can be reused across multiple requests, which can improve performance.
+
+When we run the main() coroutine using asyncio.run(), it concurrently downloads the web pages from the list of URLs, and prints the number of bytes downloaded from each URL.
+
+This is just a simple example, but it demonstrates how asyncio can be used to concurrently perform I/O-bound tasks such as web page downloads.
+
+    import asyncio
+    import aiohttp
+    
+    async def fetch(session, url):
+        async with session.get(url) as response:
+            return await response.text()
+    
+    async def main():
+        urls = [
+            'https://example.com',
+            'https://google.com',
+            'https://facebook.com',
+            'https://twitter.com',
+            'https://linkedin.com',
+        ]
+    
+        async with aiohttp.ClientSession() as session:
+            tasks = [asyncio.create_task(fetch(session, url)) for url in urls]
+    
+            results = await asyncio.gather(*tasks)
+    
+            for url, result in zip(urls, results):
+                print(f"Downloaded {len(result)} bytes from {url}")
+    
+    asyncio.run(main())
+
+## Conclusion
+
+Asyncio is a powerful framework for writing asynchronous code in Python, and with the new features introduced in Python 3.10, it has become even easier to run tasks in parallel.
+
+In this blog post, we learned how to create tasks using asyncio.create_task() and how to run tasks in parallel using `asyncio.gather()
+
+
+## Footnote:
+
+Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website [**CanadianDataGuy.com](https://canadiandataguy.com)** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.
\ No newline at end of file
diff --git a/content/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30%-with-graviton.md b/content/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30%-with-graviton.md
new file mode 100644
index 000000000..e4c4e83c9
--- /dev/null
+++ b/content/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30%-with-graviton.md
@@ -0,0 +1,73 @@
+---
+title: How to Cut Your Data Processing Costs by 30% with Graviton
+description: ""
+date: 2023-04-23T17:29:06.599Z
+preview: ""
+draft: false
+tags: ["graviton","cost-savings"]
+categories: ["databricks","spark"]
+banner: "https://cdn-images-1.medium.com/max/2000/1*DwwMNsSfkCZsXZowaIilhA.png"
+---
+
+# How to Cut Your Data Processing Costs by 30% with Graviton
+
+## What is AWS Graviton ?
+
+AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.
+
+With Graviton, you can enjoy lightning-fast data processing speeds while saving money on your infrastructure costs. Plus, Graviton is compatible with all your favorite tools and applications, so you can seamlessly integrate it into your existing workflow.
+
+Overall, AWS Graviton offers a flexible and cost-effective alternative to traditional x86-based processors, making it a popular choice for customers who are looking to optimize their cloud computing costs without sacrificing performance or reliability.
+
+## Cost Savings
+
+If you look at the screenshot below, you will find Graviton cheaper than every other series.
+
+**Decipher instance name: c6g.xlarge: **C stands for compute series, 6 stands for a series number, g stands for Graviton, and xLarge means 4 vCPU.
+
+### **Compute Intensive (C Series)**
+
+c6g.xlarge is 12.5% cheaper than the next cheapest instance.
+
+![](https://cdn-images-1.medium.com/max/2000/1*h-t7S2KmhX5fYKp1RXijdg.png)
+
+### **General Purpose (M Series)**
+
+m6g.xlarge is ~12.2% cheaper than the next cheapest instance.
+
+![](https://cdn-images-1.medium.com/max/2000/1*5xRyYgQp42pORNop-IydJA.png)
+
+### **Memory Intensive ( R Series)**
+
+r6g.xlarge is ~12.5% cheaper than the next cheapest instance.
+
+![](https://cdn-images-1.medium.com/max/2000/1*fHxdfkY3kXB73nKobJi8Bw.png)
+
+## This is complicated. Help me choose ?
+
+Let me break down the AWS instance series into simple parts. Think about how much memory you get per core, and the price increases as the memory increases.
+
+* Compute intensive C series provides 2GB memory per core.
+
+* General purpose M series provides 4GB memory per core and is 13% more expensive than the C series.
+
+* Memory-intensive R series provides 8 GB memory per core and is 30% more expensive than the M series. ~48% more expensive than the C series.
+
+I recommend that customers start with general purpose, get a baseline runtime, and then try different series. The best way to gauge what instance family would work is to identify or categorize if the workload is compute-bound, memory-bound or network bound.
+
+## Launch of new Graviton 3 series in 2023
+
+Here are some benefits of the new Graviton 3 series; the price is ~10% more expensive Graviton 2. However, it’s still cheaper than the M6 a instance.
+>  M6g ($ 0.154) < M7g ($ 0.1632) < M6a ( $0.1728 )
+
+![](https://cdn-images-1.medium.com/max/2000/1*DwwMNsSfkCZsXZowaIilhA.png)
+[**New Graviton3-Based General Purpose (m7g) and Memory-Optimized (r7g) Amazon EC2 Instances | Amazon…**
+*We’ve come a long way since the launch of the m1.small instance in 2006, adding instances with additional memory…*aws.amazon.com](https://aws.amazon.com/blogs/aws/new-graviton3-based-general-purpose-m7g-and-memory-optimized-r7g-amazon-ec2-instances/)
+
+## Conclusion
+>  As you can see, the price saving is at least ~12%, and [AWS claims 40% better price performance](https://pages.awscloud.com/rs/112-TZM-766/images/2020_0501-CMP_Slide-Deck.pdf) due to faster processors. Thus, in reality, you should be able to save 12–40% cost savings at least. In my real-world experience, I have seen 20–30% cost savings.
+
+## Footnote:
+
+Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website [**CanadianDataGuy.com](https://canadiandataguy.com/)** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.
+
diff --git a/content/blog/2023-05-09-delta-vs-parquet-which-data-storage-format-is-best-for-your-business.md b/content/blog/2023-05-09-delta-vs-parquet-which-data-storage-format-is-best-for-your-business.md
new file mode 100644
index 000000000..2145c99d9
--- /dev/null
+++ b/content/blog/2023-05-09-delta-vs-parquet-which-data-storage-format-is-best-for-your-business.md
@@ -0,0 +1,79 @@
+---
+title: "Delta vs Parquet: Why Delta has won the game?"
+description: ""
+date: 2023-05-09T15:27:37.781Z
+preview: ""
+draft: true
+tags: ["delta","parquet"]
+categories: ["spark"]
+---
+
+## Delta vs. Parquet: A Deep Dive into Big Data Storage Solutions
+
+Unlocking the intricacies of big data storage solutions is pivotal in today’s data-driven landscape. As organizations grapple with vast amounts of data, choosing between storage formats like Delta and Parquet becomes crucial. Diving deep into their technical nuances, this article highlights why Delta is emerging as the preferred choice for many. From ACID transactions to schema evolution, discover the game-changing features that set Delta apart in the competitive world of data storage.
+
+![Photo by [Lesly Derksen](https://unsplash.com/@lderksen?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/7880/0*rID_2tqokitny5ZC)
+
+## 1. Introduction to Delta and Parquet
+
+Parquet: An open-source columnar storage format developed under the Apache Software Foundation. It is designed to be compatible with a wide variety of data processing tools in the Hadoop ecosystem.
+
+* Encoding: Uses dictionary encoding, run-length encoding, and bit-packing.
+
+* Compression: Supports multiple codecs like Snappy, Gzip, and LZO.
+
+* Integration: Native integration with Hadoop, Hive, Presto, and more.
+
+Delta: Delta Lake is more than just a file format; it’s a storage layer that brings ACID transactions to big data workloads on top of Spark.
+
+* Underlying Storage: Uses Parquet for physical storage but adds a transaction log.
+
+* Log Structure: Maintains a transaction log to keep track of commits, ensuring data integrity.
+
+## 2. Technical Differences
+
+a. ACID Transactions:
+
+* Delta: Uses a combination of snapshot isolation and serializability to ensure consistency. The transaction log keeps track of every change, ensuring that operations are atomic, consistent, isolated, and durable.
+
+* Parquet: Doesn’t have built-in transactional capabilities.
+
+b. Schema Evolution:
+
+* Delta: Supports meta-data handling, allowing for schema changes without affecting the underlying data. This is managed through the transaction log.
+
+* Parquet: While it can handle schema evolution, changes might require rewriting or creating new files.
+
+c. Time Travel:
+
+* Delta: Maintains versioned data, allowing users to query a snapshot of the data at any point in time.
+
+* Parquet: Lacks native versioning capabilities.
+
+d. Storage Efficiency:
+
+* Delta: Implements mechanisms like Z-ordering (multi-dimensional clustering) and data skipping, optimizing both storage and query performance.
+
+* Parquet: Relies on columnar storage and compression for efficiency but lacks advanced optimizations like Z-ordering.
+
+e. Merge, Update, and Delete:
+
+* Delta: Supports MERGE INTO operations, making it easier to handle scenarios like change data capture (CDC).
+
+* Parquet: These operations typically require reading the entire dataset, making changes, and then writing it back.
+
+## 3. Performance Insights
+
+* Delta: Optimized for scenarios with frequent updates. The transaction log ensures minimal data movement, and features like Z-ordering can lead to faster query performance.
+
+* Parquet: While read-heavy workloads perform well with Parquet, write-heavy or update-heavy workloads might face challenges due to the lack of transactional support.
+
+## 4. Compatibility and Ecosystem
+
+* Delta: Built on top of Spark, it offers seamless integration with the Spark ecosystem. Moreover, Delta tables can be read by any tool that supports Parquet.
+
+* Parquet: Being a widely adopted format, it boasts broad compatibility across the Hadoop ecosystem, including tools like Hive, Impala, and Presto.
+
+## 5. The Verdict
+
+While Parquet is a robust columnar storage format that has served the big data community well, Delta brings in features that cater to the evolving needs of data engineering and data science teams. Its emphasis on transactional integrity, combined with advanced optimizations, positions Delta as a formidable player in the big data storage arena.
diff --git "a/content/blog/2023-06-06-Simplifying Real-time Data Processing with Spark Streaming\342\200\231s foreachBatch with working code.md" "b/content/blog/2023-06-06-Simplifying Real-time Data Processing with Spark Streaming\342\200\231s foreachBatch with working code.md"
new file mode 100644
index 000000000..4a06c9e8b
--- /dev/null
+++ "b/content/blog/2023-06-06-Simplifying Real-time Data Processing with Spark Streaming\342\200\231s foreachBatch with working code.md"	
@@ -0,0 +1,175 @@
+---
+title: "Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code"
+description: ""
+date: 2023-06-06T17:29:06.599Z
+preview: ""
+draft: false
+tags: ["delta","streaming","foreachbatch"]
+categories: ["databricks","spark"]
+banner: "https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB"
+---
+
+## Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code
+
+Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+
+![Photo by [Andrew Schultz](https://unsplash.com/@andrewschultz?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB)
+
+## Spark Streaming & foreachBatch
+
+Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available. This can be very useful for applications that need to respond to changes in data in real time.
+
+One of the features of Spark Streaming is the foreachBatch() method. This method allows you to apply a custom function to each batch of data as it arrives. This can be useful for a variety of tasks, such as:
+
+* Filtering data
+
+* Transforming data
+
+* Writing data to a database
+
+* Sending data to an external system
+
+The foreachBatch() method is a powerful tool that can be used to extend the capabilities of Spark Streaming. In this blog post, we will take a closer look at how to use foreachBatch().
+
+### Introducing foreachBatch:
+
+foreachBatch is a method provided by Spark Streaming that allows developers to apply arbitrary operations on the output of a streaming query. It acts as a bridge between the streaming world and the structured world of DataFrames and Datasets. This means that we can leverage the rich functionality of Spark's structured APIs to process real-time data efficiently.
+
+### The Power of foreachBatch:
+
+The foreachBatch operation enables developers to perform batch-like operations on streaming data. Instead of processing each individual record, which can be inefficient, foreachBatch processes the data in micro-batches, offering better performance and resource utilization. This approach also provides the flexibility to leverage the full power of Spark's DataFrames, including various transformations and aggregations, to perform complex computations on streaming data.
+
+### Implementing foreachBatch:
+
+To use foreachBatch, you need to define a function that takes two arguments: the batch identifier and the DataFrame representing the micro-batch of data. Inside this function, you can apply any transformations or computations required on the streaming data. You can use Spark's SQL, DataFrame, or Dataset APIs to manipulate the data and write the results to any external systems, such as databases or file systems.
+
+### Benefits of foreachBatch:
+
+ 1. Performance: foreachBatch allows batch-like processing on streaming data, resulting in improved performance compared to processing individual records.
+
+ 2. Flexibility: Leveraging Spark’s DataFrames and Datasets provides a wide range of transformations and aggregations to handle complex computations easily.
+
+ 3. Scalability: Spark Streaming inherently provides scalability and fault-tolerance, and foreachBatch seamlessly integrates with these capabilities.
+
+ 4. Ecosystem Integration: The results from foreachBatch can be easily written to external systems such as databases, file systems, or streaming analytics platforms.
+
+## Code & Setup
+
+Here’s how we can use foreachBatch to achieve this:
+
+ ∘ Define parameters for the job
+ ∘ Create a Streaming source
+ ∘ Define custom processing logic and parameters
+ ∘ Create an instance of forEachBatchProcessor Class with the parameters
+ ∘ Orchestrate the job
+ ∘ Look at the output table
+ ∘ Clean Up
+
+### Define parameters for the job
+
+    target_table_name = "for_each_batch_paramerterize"
+    check_point_location = f"/tmp/delta/{target_table_name}/_checkpoints/"
+    dedupe_colum_name ="hash"
+
+### Create a Streaming source
+
+We will create a synthetic dataset.
+
+    generated_df = (
+         spark.readStream
+            .format("rate")
+            .option("numPartitions", 4)
+            .option("rowsPerSecond", 1 * 1000)
+            .load()
+            .selectExpr(
+              "md5( CAST (value AS STRING) ) as md5"
+              ,"value"
+              ,"value%1000000 as hash"
+            )
+    )
+
+### Define custom processing logic and parameters
+
+    class forEachBatchProcessor:
+        def __init__(self, dedupe_column: str, filter_criteria:str, passed_value: int):
+            self.dedupe_column = dedupe_column
+            self.filter_criteria = filter_criteria
+            self.passed_value = passed_value
+    
+        def print_attributes(self):
+            attributes = vars(self)
+            print(
+                "\n".join([f"{attr}: {value}" for attr, value in attributes.items()])
+            )
+    
+        def make_changes_using_the_micro_batch(self, microBatchOutputDF, batchId: int):
+            self.print_attributes()
+            print(f"Processing batchId: {batchId}")
+    
+            # Your processing logic using the parameter
+            view_name = f"updates_for_batchId_{batchId}"
+            microBatchOutputDF.createOrReplaceTempView(view_name)
+            sql_logic = f"""
+                SELECT 
+                    * 
+                    ,{self.passed_value} as passed_value
+                    ,{batchId} as batch_id
+                FROM (
+                  SELECT *
+                    ,rank() over(partition by {self.dedupe_column} order by value desc) as dedupe
+                  FROM {view_name}
+                  WHERE  
+                    {self.filter_criteria}
+                  )
+                WHERE 
+                    dedupe =1 
+            """
+            print(f"Processing sql_logic: {sql_logic}")
+            to_be_written_df = microBatchOutputDF.sparkSession.sql(sql_logic).drop("dedupe")
+            to_be_written_df.write.mode("append").saveAsTable(target_table_name)
+
+### Create an instance of forEachBatchProcessor Class with the parameters
+
+    
+    instantiateForEachBatchProcessor = forEachBatchProcessor(
+                dedupe_column = dedupe_colum_name,
+                filter_criteria = "1=1",
+                passed_value = 3
+            )
+
+### Orchestrate the job
+
+    (
+      generated_df
+     .writeStream
+     #.trigger(availableNow=True) 
+     .trigger(processingTime='10 seconds')
+     .option("checkpointLocation", check_point_location)
+     .option("queryName", "ParameterizeForEachBatch")
+     .foreachBatch(instantiateForEachBatchProcessor.make_changes_using_the_micro_batch)
+     .start()
+    )
+
+### Look at the output table
+
+    display(spark.read.table(target_table_name))
+
+### Clean Up
+
+    spark.sql(f"""
+              DROP TABLE IF EXISTS {target_table_name}
+              """)
+    dbutils.fs.rm(check_point_location,True)
+
+## Conclusion:
+
+Apache Spark Streaming’s foreachBatch operation is a powerful tool for simplifying real-time data processing. By bridging the gap between the streaming and structured worlds, it enables developers to perform batch-like operations on streaming data efficiently. Leveraging the rich functionality of Spark's DataFrames, foreachBatch empowers users to process and analyze real-time data with ease. Whether you're performing aggregations, transformations, or writing data to external systems, foreachBatch offers a flexible and scalable solution for real-time streaming applications.
+
+## Footnote:
+
+Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website [**CanadianDataGuy.com](https://canadiandataguy.com/)** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.
+
+### [Download the code](https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/Spark%20Streaming%20With%20Custom%20Parameters%20For%20Each%20Batch.py)
+>  I want to emphasize that my blog posts are designed to be practical resources that you can readily use in your own environments. By providing code examples with careful attention to best practices, I aim to simplify the implementation of real-time data processing solutions. I encourage you to explore the blog, copy the code snippets, and adapt them to your specific needs. With these resources, you’ll be equipped to accelerate your development process and unlock the power of Spark Streaming. Dive in, leverage the code, and start building your real-time data processing pipelines with confidence!
+>  Go Build!
+>  Canadian Data Guy!
diff --git a/content/blog/2023-09-12-Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale.md b/content/blog/2023-09-12-Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale.md
new file mode 100644
index 000000000..41552f0c9
--- /dev/null
+++ b/content/blog/2023-09-12-Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale.md	
@@ -0,0 +1,47 @@
+---
+title: "Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale"
+description: ""
+date: 2023-09-12T17:29:06.599Z
+preview: ""
+draft: false
+tags: ["delta"]
+categories: ["databricks","spark"]
+banner: "https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ"
+---
+
+
+## Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale
+
+In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial? And how can we optimize it to ensure our databases aren’t just fast, but consistently reliable for 99% of our users? Join us as we demystify P99 latency and delve into strategies to fine-tune it in Databricks SQL.
+
+![Photo by [Håkon Sataøen](https://unsplash.com/@haakon?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ)
+
+## What is P99 Latency?
+
+The P99 latency (also known as the 99th percentile latency) for SQL queries is a metric used to measure the response time of SQL queries in a database system. It represents the latency at which 99% of the queries have a response time less than or equal to the P99 latency value, and 1% have a response time greater than the P99 latency value.
+>  In other words, P99 latency helps you understand the worst-case response time for most of your SQL queries. It is often used to evaluate the performance of a database system and ensure that the vast majority of queries are responding quickly, even under heavy load.
+
+For example, if the P99 latency for a particular SQL query is 100 milliseconds, it means that 99% of the time, that query will execute in 100 milliseconds or less. However, in 1% of cases, it may take longer than 100 milliseconds.
+
+### To achieve a P99 latency of 5 seconds in Databricks SQL, you can follow these steps:
+
+ 1. Optimize the table hourly by applying a WHERE filter on the timestamp.
+
+ 2. Use at least a Medium instance of DBSQL. Larger instances provide better query performance if queries rely on caching. Caching is done at the instance level; if you have N small instances, then you will have N copies of Cached data occupying memory.
+
+ 3. Set spark.databricks.delta.stalenessLimit to x minutes per business requirements[. This parameter defines how many minutes of old data are acceptable.](http://spark.databricks.delta.stalenessLimit)
+
+ 4. Ensure that the columns used in the WHERE clause are part of the first 32 columns.
+
+ 5. Run VACUUM tables at daily or weekly cadence.
+
+ 6. Once you have achieved your P99 latency with the above suggestions, try DBSQL Serverless and monitor P99 latency. Serverless DB Sql would give you faster startup times and more performance because of faster auto-scaling capabilities.
+>  If you need to power an application with minimum latency, it’s possible to pre-cache data using specific commands. However, it’s important to take caution while using these commands as misconfiguration can cause more harm than good. It’s recommended to reach out to me or your Databricks representative for the command and have the scenario validated with Databricks before implementing it. I have not included the command in the blog to avoid any mishaps.
+
+## Reference:
+
+ 1. spark.databricks.delta.stalenessLimit [https://docs.databricks.com/en/delta/best-practices.html#manage-data-recency](https://docs.databricks.com/en/delta/best-practices.html#manage-data-recency)
+
+ <iframe src="https://medium.com/media/046ffb187676765cdc927cc87e141bc9" frameborder=0></iframe>
+
+[3. https://www.youtube.com/watch?v=rJDkfRPUebw&t=629s](https://www.youtube.com/watch?v=rJDkfRPUebw&t=629s)
diff --git a/content/blog/2023-09-15-Databricks SQL Dashboards Guide: Tips and Tricks to Master Them.md b/content/blog/2023-09-15-Databricks SQL Dashboards Guide: Tips and Tricks to Master Them.md
new file mode 100644
index 000000000..c1dabce83
--- /dev/null
+++ b/content/blog/2023-09-15-Databricks SQL Dashboards Guide: Tips and Tricks to Master Them.md	
@@ -0,0 +1,68 @@
+---
+title: "Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems"
+description: ""
+date: 2023-09-15T17:29:06.599Z
+preview: ""
+draft: false
+tags: ["dbsql"]
+categories: ["databricks","spark"]
+banner: "https://cdn-images-1.medium.com/max/10000/0*lFrzWG4v-HT_emCP"
+---
+
+## Databricks SQL Dashboards Guide: Tips and Tricks to Master Them
+
+Welcome to the world of Databricks SQL Dashboards! You're in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+
+![Photo by [Romain Gal](https://unsplash.com/@wamstudio?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/10000/0*lFrzWG4v-HT_emCP)
+
+## 1. Getting Started with Viewing and Organizing Dashboards:
+
+* Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar. By default, your dashboards will appear in the Home folder. Alternatively, click on “Dashboards” in the sidebar.
+
+* Organizing Dashboards: They are sorted in reverse chronological order, but you can reorder them by clicking column headings. Starting July 10, 2023, Databricks will migrate all SQL content to the workspace browser, so ensure your dashboards are in order!
+
+## 2. Tags are your friend
+
+* Organization: Tags allow users to categorize and organize their SQL objects, such as queries, dashboards, and visualizations. This makes finding and managing these objects easier, especially in large environments. Some good tag examples are customers, departments, projects, environments, etc.
+
+* Access Control: Tags can be used in conjunction with access control policies. By tagging SQL objects, administrators can define fine-grained access controls based on these tags, ensuring that only authorized users can access or modify specific resources.
+
+* Cost Allocation: Databricks allow you to track cloud costs associated with running queries. By tagging SQL queries or jobs, organizations can allocate costs to specific departments, projects, or teams, providing better visibility into resource consumption.
+
+## 3. Cloning: Replicating Success:
+
+* If you’ve created a dashboard you’re particularly proud of, clone it! Ensure you have the necessary permissions; thenew dashboard will list you as its owner. Note: Sharing settings, alerts, and subscriptions won’t be copied to the new dashboard.
+
+## 4. Harnessing the Power of Query Parameters:
+
+* Parameter Types: Your queries can use parameters or static values. Depending on your needs, visualizations based on parameterized queries can be set to use widget parameters, dashboard parameters, or static values.
+
+* Multiple Visualizations: One of the strengths of Databricks is that dashboard parameters can apply to multiple visualizations, offering a cohesive data representation.
+
+## 5. Editing and Customizing Your Dashboard:
+
+* Making Changes: Dashboards can be edited to add or remove content, edit visualizations, and apply filters. Dive in and make it truly your own!
+
+* Colour Customization: Stand out with unique dashboard colours. Create your own color palettes or use the default ones to make your dashboard visually appealing.
+
+## 6. Keeping Your Data Fresh with Refreshes:
+
+* Why Refresh?: Dashboards fetch data from a cache. To ensure up-to-date data representation, it’s crucial to refresh them periodically.
+
+* Manual vs. Automatic: Depending on your needs, dashboards can be refreshed manually or set to refresh automatically on a schedule.
+
+## 7. Stay Updated with Dashboard Subscriptions:
+
+* Snapshot Subscriptions: Subscribe to dashboard snapshots and receive periodic email updates. This is especially useful for keeping stakeholders in the loop.
+
+* File Size Limit: Remember there’s a 6 MB file size limit for email attachments. If your dashboard is data-heavy, subscribers will receive a link to the refreshed dashboard instead.
+
+## 8. Managing and Optimizing Dashboards:
+
+* Download, Trash, Restore: If needed, dashboards can be downloaded as PDFs, moved to Trash, or even restored.
+
+* Admin Privileges: If you’re a workspace admin user, you can access an admin view to oversee all dashboards and manage permissions effectively.
+
+* Transferring Ownership: Need to hand over a dashboard to another team member? No problem! Ownership can be easily transferred.
+
+In conclusion, Databricks SQL dashboards offer a versatile data visualization and analysis platform. With this step-by-step guide, you’re well on your way to mastering the art of creating, managing, and optimizing your dashboards. Dive in and explore the world of data with Databricks!
diff --git a/content/blog/2023-09-29-SolvingDeltaTableConcurrencyIssuesPracticalCodeSolutionsInsights.md b/content/blog/2023-09-29-SolvingDeltaTableConcurrencyIssuesPracticalCodeSolutionsInsights.md
new file mode 100644
index 000000000..8643309bf
--- /dev/null
+++ b/content/blog/2023-09-29-SolvingDeltaTableConcurrencyIssuesPracticalCodeSolutionsInsights.md
@@ -0,0 +1,140 @@
+---
+title: "Solving Delta Table Concurrency Issues"
+description: ""
+date: 2023-09-30T17:29:06.599Z
+preview: ""
+draft: false
+tags: ["delta","concurrency"]
+categories: ["databricks","spark"]
+banner: "https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8"
+---
+
+## Solving Delta Table Concurrency Issues
+
+Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as `ConcurrentAppendException`, `ConcurrentDeleteReadException,` and `ConcurrentDeleteDeleteException.` In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.
+
+![](https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8)
+
+## Why Do These Issues Happen?
+
+* Concurrent Append Exception (`ConcurrentAppendException`):**
+ This error happens when another operation is adding files to the same section (or any section in a table without partitions) that your operation is reading from. These file additions can happen due to INSERT, DELETE, UPDATE, or MERGE operations. By default, with the WriteSerializable isolation level, adding files without checking any data (known as blind INSERT operations) won’t cause any issues with any operation, even if they are working on the same section (or any section in a table without partitions). However, if the isolation level is changed to Serializable, then these blind additions may cause conflicts. This error is commonly seen during simultaneous DELETE, UPDATE, or MERGE operations. Even though these operations might be updating different sections, a conflict can occur if one operation is reading the same section that another operation is updating at the same time.
+
+* Concurrent Delete Read Exception: 
+It occurs when a transaction is trying to read a file that is being deleted by another transaction. This is to ensure that a transaction does not read data that is in the process of being deleted.
+
+* Concurrent Delete Delete Exception:
+ — Occurs when two transactions are trying to delete the same file.
+ — Delta Lake ensures that a file is not deleted more than once.
+
+## Understanding Isolation Levels: Serializable vs. WriteSerializable
+
+Isolation levels in a database control how much transactions are protected from each other’s changes. Delta Lake on Databricks offers two such levels: Serializable and WriteSerializable.
+
+**1. Serializable:**
+ — This is the highest level of isolation.
+ — It ensures that all write and read operations are done in a specific order, just like how they appear in the table’s history.
+ — This means operations are carried out one by one, maintaining the order and ensuring the final result is as expected.
+
+**2. WriteSerializable (Default):**
+ — This level is a bit more relaxed compared to Serializable.
+ — It guarantees order only for write operations, not for reads.
+ — Even though it’s more relaxed, it’s still more strict than the Snapshot isolation level.
+ — This level is used by default as it offers a good mix of data consistency and availability for most operations.
+
+## Solution 1: Setting the Isolation Level:
+
+* Use the `ALTER TABLE` command to set the isolation level to `Serializable` or `WriteSerializable`.
+
+    ALTER TABLE <table-name> SET TBLPROPERTIES ('delta.isolationLevel' = 'WriteSerializable')
+
+## Solution 2: Avoiding Conflicts Using Partitioning and Disjoint Command Conditions
+
+When working with tables, sometimes two operations can clash or conflict, especially if they are working on the same set of files. This can cause problems and errors. But, there’s a way to avoid this! You can organize or partition your table based on certain columns that are often used in operations. This way, different operations work on different parts of the table, preventing them from clashing.
+
+For example, imagine two commands — one is updating the table for dates after January 1, 2010, and another is deleting from the table for dates before January 1, 2010. These two can clash if the table is not organized by date, as both might try to change the same files. But if you partition the table by date, these operations won’t conflict, making things smooth and error-free.
+
+However, be careful while choosing the column for partitioning. If you choose a column that has a lot of unique values, it can create a large number of subdirectories. This can lead to other issues, affecting the performance of operations on the table.
+
+By using these strategies and understanding the insights from Databricks regarding isolation levels, row-level concurrency, and write conflicts, you can make your Delta operations more robust, reliable, and efficient.
+
+## Solution 3: Code block with exponential retry
+
+The Python code below offers a robust solution to address this challenge. It is designed to manage concurrent write operations to a Delta table or path by intelligently retrying the operation in the event of specific concurrent exceptions. Streaming_write_with_concurrent_retry takes parameters such as the data stream, maximum attempts, and others to provide flexibility and control. It employs a while loop to attempt the write operation continuously and waits for its completion. In case of concurrent exceptions, it increments the attempt counter and calculates the sleep time using an exponential backoff strategy before retrying the operation. This approach ensures that the write operation is eventually successful, providing reliability and efficiency in handling concurrent operations on Delta tables. Explore the code below to understand its workings and integrate it into your projects to enhance concurrent operations handling.
+
+    from datetime import datetime
+    from time import sleep
+    from delta.exceptions import (
+        ConcurrentAppendException,
+        ConcurrentDeleteReadException,
+        ConcurrentDeleteDeleteException,
+    )
+    import math
+    
+    
+    def streaming_write_with_concurrent_retry(
+        stream, max_attempts=3, indefinite=False, table=None, path=None
+    ):
+        """
+        Handles concurrent write operations to a Delta table or path by retrying the operation
+        in case of specific concurrent exceptions.
+    
+        :param stream: The data stream to be written.
+        :param max_attempts: The maximum number of retry attempts. Default is 3.
+        :param indefinite: If True, will keep retrying indefinitely. Default is False.
+        :param table: The Delta table to write to.
+        :param path: The path to write to.
+        :return: The result of writer.awaitTermination().
+        """
+    
+        attempt = 0  # Initialize attempt counter
+    
+        while True:
+            try:
+                # Choose the writer based on whether table or path is provided
+                if table:
+                    writer = stream.table(table)
+                elif path:
+                    writer = stream.start(path)
+                else:
+                    writer = stream.start()
+    
+                # Attempt to write and wait for termination
+                return writer.awaitTermination()
+    
+            # Handle concurrent exceptions
+            except (
+                ConcurrentAppendException,
+                ConcurrentDeleteReadException,
+                ConcurrentDeleteDeleteException,
+            ) as e:
+    
+                # Increment attempt counter
+                attempt += 1
+    
+                # If indefinite is False and attempts have reached max_attempts, raise the exception
+                if not indefinite and attempt >= max_attempts:
+                    raise e from None
+    
+                # Calculate sleep time using exponential backoff strategy
+                sleep_time = min(120, math.pow(2, attempt))
+    
+                # Sleep for the calculated time before retrying
+                sleep(sleep_time)
+
+### Solution 4: Row-Level Concurrency (Advanced Feature)?
+
+* Reduces conflicts between concurrent write operations by detecting changes at the row level.
+
+* Automatically resolves competing changes in concurrent writes that update or delete different rows in the same data file.
+>  Available only on Delta tables with deletion vectors enabled and on Photon-enabled compute running Databricks Runtime 14.0 and above.
+
+### Reference
+[**Isolation levels and write conflicts on Databricks**
+*Learn about the isolation levels and potential conflicts when performing concurrent transactions on tables on…*docs.databricks.com](https://docs.databricks.com/en/optimizations/isolation-level.html)
+
+## Thank You for Reading!
+
+I hope you found this article helpful and informative. If you enjoyed this post, please consider giving it a clap 👏 and sharing it with your network. Your support is greatly appreciated!
+
+— [**CanadianDataGuy](https://canadiandataguy.com/)**
diff --git a/content/blog/ArcResources.md b/content/blog/ArcResources.md
new file mode 100644
index 000000000..3bd9a0c16
--- /dev/null
+++ b/content/blog/ArcResources.md
@@ -0,0 +1,17 @@
+---
+title: "ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions"
+date: 2022-05-24T17:35:21-05:00
+draft: false
+tags : ["spark","delta","optimize","spark streaming"]
+categories : ["customer stories"]
+banner: "https://www.databricks.com/wp-content/uploads/2022/05/db-120-blog-img-1.png"
+---
+
+[ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures](https://www.databricks.com/blog/2022/05/24/arc-uses-a-lakehouse-architecture-for-real-time-data-insights-that-optimize-drilling-performance-and-lower-carbon-emissions.html). 
+  In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations. 
+
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
\ No newline at end of file
diff --git a/content/blog/Audantic.md b/content/blog/Audantic.md
new file mode 100644
index 000000000..b7424b406
--- /dev/null
+++ b/content/blog/Audantic.md
@@ -0,0 +1,19 @@
+---
+title: "How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments"
+date: 2022-05-05T17:35:21-05:00
+draft: false
+tags : ["delta live tables","spark","delta","optimize","spark streaming"]
+categories : ["customer stories","databricks"]
+banner: "https://www.databricks.com/wp-content/uploads/2022/04/db-80-blog-img-2.png"
+---
+
+To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code. [We were able to achieve a 73% reduction in the time it took our pipeline to run as well as saving 21% on the cost of the run.](https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html)
+
+
+https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html
+
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
\ No newline at end of file
diff --git a/content/blog/DatabricksWorkspaceBestPracticesAChecklistForBothBeginnersAndAdvancedUsers.md b/content/blog/DatabricksWorkspaceBestPracticesAChecklistForBothBeginnersAndAdvancedUsers.md
new file mode 100644
index 000000000..a09b861f9
--- /dev/null
+++ b/content/blog/DatabricksWorkspaceBestPracticesAChecklistForBothBeginnersAndAdvancedUsers.md
@@ -0,0 +1,79 @@
+---
+title: "Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users"
+date: 2023-02-23T17:35:21-05:00
+draft: false
+tags : ["workspace"]
+categories : ["best practices","databricks"]
+banner: "https://miro.medium.com/v2/resize:fit:720/0*On2cbUBjrA__byVR"
+---
+
+## Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users
+
+Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+
+### Here are some basic rules for using Databricks Workspace:
+
+ 1. Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage. Use a consistent naming convention and create a logical hierarchy of folders.
+
+ 2. Use Databricks jobs for every scheduled job: If it’s a scheduled job, then it should run on a job Cluster. It’s cheaper to run on a job cluster over an interactive cluster.
+
+ 3. [Service principals](https://docs.databricks.com/administration-guide/users-groups/service-principals.html) should own all production jobs so those permissions stay intact whenever individuals leave the team or company. Ensure the principals have access to the underlying notebooks for this to work correctly.
+
+ 4. For jobs with multiple tasks, task values should be used so that parameters must be set at the beginning of a job. Typically, we’ve had the first task of a multi-task workflow put the parameters into task values so that all other tasks can pull accordingly as needed. Make sure to set the default and debugValues so that individual notebook-level testing can still take place.
+
+ 5. Use Databricks CLI/API: Use Databricks CLI to automate repetitive tasks, such as uploading and downloading notebooks and managing clusters.
+
+ 6. Use secrets management: Use Databricks secrets management to store and manage sensitive information, such as API keys and database credentials.
+
+ 7. Optimize cluster usage: Use autoscaling to scale your clusters up or down based on workload automatically. Use autoscaling and right-sizing to optimize your cluster usage and reduce costs.
+
+ 8. Monitor cluster performance: Monitor your cluster performance using Databricks metrics and logs to identify performance bottlenecks and optimize your workload.
+
+ 9. Use Databricks Delta: Use Databricks Delta for data management, which provides reliability, performance, and scalability for your data. Delta helps you manage your data using ACID transactions, schema enforcement, and data versioning.
+
+ 10. Use Databricks MLflow: Use Databricks MLflow to track and manage your machine learning experiments. MLflow helps you manage your experiments, track model performance, and deploy models to production.
+
+ 11. A single logical top-level construct: is an E2 master account (AWS) or a subscription object (Azure Databricks/GCP). In AWS, provision a single E2 account per organization that provides a unified pane of visibility and control to all workspaces. In this way, your admin activity is centralized, with the ability to enable SSO, [Audit Logs](https://www.databricks.com/blog/2020/06/02/monitor-your-databricks-workspace-with-audit-logs.html), and [Unity Catalog](https://www.databricks.com/blog/2021/05/26/introducing-databricks-unity-catalog-fine-grained-governance-for-data-and-ai-on-the-lakehouse.html).
+
+ 12. Adopt Unity Catalog for data governance. Enabling cross-cloud and cross-workspace analytics brings a new level of governance and control to the Lakehouse.
+
+![Photo by [Marco Bicca](https://unsplash.com/@mbicca?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/12032/0*On2cbUBjrA__byVR)
+
+## Once you have multiple teams using the same workspace, it’s time to set more controls.
+
+### Here are examples of some Advanced best practices to put in place:
+
+ 1. [Cost Control by establishing boundaries on compute](https://learn.microsoft.com/en-us/azure/databricks/administration-guide/clusters/policies): Cloud can become expensive fast if no limits are set. A cluster policy is a tool that limits a user or group’s [cluster creation](https://learn.microsoft.com/en-us/azure/databricks/clusters/create-cluster) permissions based on a set of policy rules.
+
+ 2. Tag everything: Keep an eye on your usage and know the [Databricks Resource Limits](https://docs.databricks.com/resources/limits.html); if your workspace usage or user count starts to grow, consider adopting a more involved workspace organization strategy to avoid per-workspace limits. Leverage [resource tagging](https://docs.databricks.com/administration-guide/account-settings/usage-detail-tags-aws.html) wherever possible to track cost and [usage](https://docs.databricks.com/administration-guide/account-settings-e2/usage.html) metrics.
+
+ 3. Publish a shared central repository of code examples which are unique to your business. Example: How to connect to your on-prem SQL Server, Oracle, Salesforce, etc.
+
+ 4. Automate your cloud processes. This ranges from every aspect of your infrastructure, including SSO/SCIM, Infrastructure-as-Code with a tool such as Terraform, CI/CD pipelines and [Repos](https://docs.databricks.com/repos.html), cloud backup, and monitoring (using both cloud-native and third-party tools).
+
+ 5. Enable audit logging at the account level. Having auditability from the very start of your lakehouse journey allows you to establish a historical baseline. Often, you only realize how much you need audit logs when you really, really need them.
+
+ 6. Setup [Account Level Identities](https://docs.databricks.com/data-governance/unity-catalog/manage-identities.html#account-level-identities) should be enabled as this allows for centralized principal management for all workspaces, thereby simplifying administration. We recommend setting up features like [SSO](https://docs.databricks.com/administration-guide/users-groups/single-sign-on/index.html#set-up-single-sign-on), [SCIM](https://docs.databricks.com/dev-tools/api/latest/scim/scim-account.html) and [Audit Logs](https://docs.databricks.com/administration-guide/account-settings/audit-logs.html) at the account level. [Workspace-level SSO is still required](https://docs.databricks.com/data-governance/unity-catalog/manage-identities.html#how-do-you-manage-sso-for-workspace--and-account-level-identities), until the SSO Federation feature is available.
+
+ 7. Tracking the ongoing consumption for all workload types across all workspaces is visible to account admins via the accounts console. We recommend setting up [billable usage log delivery](https://docs.databricks.com/administration-guide/account-settings/billable-usage-delivery.html) so that it all goes to your central cloud storage for chargeback and analysis. Budget API (In Preview) should be configured at the account level, which allows account administrators to create thresholds at the workspaces, SKU, and cluster tags level and receives alerts on consumption so that timely action can be taken to remain within allotted budgets. Use a tool such as [Overwatch](https://databrickslabs.github.io/overwatch/) to track usage at an even more granular level to help identify areas of improvement when it comes to utilizing computing resources.
+
+### Reference:
+[**5 Best Practices for Databricks Workspaces**](https://www.databricks.com/blog/2022/03/10/functional-workspace-organization-on-databricks.html)
+[**Databricks Workspace Administration - Best Practices for Account, Workspace and Metastore Admins**](https://www.databricks.com/blog/2022/08/26/databricks-workspace-administration-best-practices-for-account-workspace-and-metastore-admins.html)
+
+[https://www.databricks.com/blog/2022/10/18/best-practices-cost-management-databricks.html](https://www.databricks.com/blog/2022/10/18/best-practices-cost-management-databricks.html)
+[**Databricks Workspace Administration - Best Practices for Account, Workspace and Metastore Admins**](https://www.databricks.com/blog/2022/08/26/databricks-workspace-administration-best-practices-for-account-workspace-and-metastore-admins.html)
+[**Best Practices for Cost Management on Databricks**](https://www.databricks.com/blog/2022/10/18/best-practices-cost-management-databricks.html)
+[**Serving Up a Primer for Unity Catalog Onboarding**](https://www.databricks.com/blog/2022/11/22/serving-primer-unity-catalog-onboarding.html)
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
+
+
+
+
+
+
+{{< medium url="https://medium.com/@canadiandataguy/databricks-workspace-best-practices-a-checklist-for-both-beginners-and-advanced-users-fd7840b3d340" >}}
\ No newline at end of file
diff --git a/content/blog/DeltaLiveTablesAdvancedQ&A.md b/content/blog/DeltaLiveTablesAdvancedQ&A.md
new file mode 100644
index 000000000..7ddaedbb1
--- /dev/null
+++ b/content/blog/DeltaLiveTablesAdvancedQ&A.md
@@ -0,0 +1,198 @@
+---
+title: "Delta Live Tables Advanced Q & A"
+date: 2023-03-03T17:35:21-05:00
+draft: false
+tags : ["delta live tables"]
+categories : ["streaming","spark streaming","databricks"]
+banner: "https://miro.medium.com/v2/resize:fit:720/0*fnEnj3G9nKFHpHUI"
+---
+
+
+## Delta Live Tables Advanced Q & A
+
+This is primarily written for those trying to handle edge cases.
+
+![Photo by [Joshua Earle](https://unsplash.com/@joshuaearle?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/6000/0*fnEnj3G9nKFHpHUI)
+
+### Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data?
+
+The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.
+
+**What is the gotcha here?**
+
+The data has lost its natural ordering which is fine in most cases, meaning it did not go into the Delta table in the same order it was generated. This is in contrast to an ideal world in which Kafka had infinite retention, and a single DLT pipeline would have ingested the data.
+
+If and only if you are using the table as a Streaming source with Watermarking downstream then while reading this data, we will have to instruct Spark Streaming to sort the data while reading it. We can do this by using the following parameter ‘withEventTimeOrder’.
+
+    spark.readStream.format("delta")
+            .option("maxFilesPerTrigger", f"{maxFilesPerTrigger}")
+            .option("withEventTimeOrder", "true")
+            .table(f"{schema_name}.{table_name}")
+
+You can further read about this solution here [https://canadiandataguy.medium.com/how-to-write-your-first-spark-application-with-stream-stream-joins-with-working-code-dd9b0b39f814#d828](https://canadiandataguy.medium.com/how-to-write-your-first-spark-application-with-stream-stream-joins-with-working-code-dd9b0b39f814#d828)
+
+To reiterate, the gotcha only applies if you use this table as a Streaming Source along with Watermarking.
+
+### **Q2.) How do I handle deletes in a Streaming Table?**
+
+Let’s take GDPR as an example of where we need to enforce retention on the Delta table. One can run a regular DELETE command on the table and then in the DLT pipeline make changes to downstream consumers.
+>  “By default, streaming tables require append-only sources. When a streaming table uses another streaming table as a source, and the source streaming table requires updates or deletes, for example, GDPR “right to be forgotten” processing, the skipChangeCommits flag can be set on the target streaming table to ignore those changes. For more information about this flag, see [Ignore updates and deletes](https://docs.databricks.com/en/structured-streaming/delta-lake.html#ignore-changes).”
+
+    @table
+    def b():
+       return spark.readStream.option("skipChangeCommits", "true").table("LIVE.A")
+
+[https://docs.databricks.com/en/delta-live-tables/python-ref.html#configure-a-streaming-table-to-ignore-changes-in-a-source-streaming-table](https://docs.databricks.com/en/delta-live-tables/python-ref.html#configure-a-streaming-table-to-ignore-changes-in-a-source-streaming-table)
+
+### **Q3.) How to enable mergeSchema on DLT table?**
+
+This is already handled in DLT. If you want to control otherwise explicitly, you can pass the following spark conf property at the DLT pipeline or table level.
+>  spark.databricks.delta.schema.autoMerge.enabled True
+
+If you are using Autoloader, consider playing with different schema evolution modes while reading data.
+
+.option("cloudFiles.schemaEvolutionMode", "addNewColumns")
+
+### Q4.) How to change the location where the table is stored?
+
+ 1. Manually copy the data using [Deep Clone](https://docs.databricks.com/optimizations/clone.html) with the {new_location}
+
+ 2. Create a new DLT pipeline and set the path = {new_location}
+
+    @dlt.table(
+      name="<name>",
+      comment="<comment>",
+      spark_conf={"<key>" : "<value", "<key" : "<value>"},
+      table_properties={"<key>" : "<value>", "<key>" : "<value>"},
+      path="<storage-location-path>",
+      partition_cols=["<partition-column>", "<partition-column>"],
+      schema="schema-definition",
+      temporary=False)
+
+3. In your DLT pipeline configuration, set this property pipelines.tableManagedByMultiplePipelinesCheck.enabledto false
+
+4. Now, we need to make sure that we do not read any duplicate data because we cannot reuse our old checkpoint. We will solve this by using filters or providing a starting configuration for the streaming source. E.g., if your streaming source is:
+
+**4. a) Kafka**: Then we will provide offset information. More information can be found [here](https://canadiandataguy.medium.com/how-to-upgrade-your-spark-stream-application-with-a-new-checkpoint-4dce7fa2cd96).
+
+**4. b) Delta:**
+
+For example, suppose you have a table user_events. If you want to read changes since version 5, use:
+
+    spark.readStream.format("delta")
+      .option("startingVersion", "5")
+      .load("/tmp/delta/user_events")
+
+If you want to read changes since 2023–03–03, use:
+
+    spark.readStream.format("delta")
+      .option("startingTimestamp", "2018-10-18")
+      .load("/tmp/delta/user_events")
+
+More details can be found [here](http://For example, suppose you have a table user_events. If you want to read changes since version 5, use:  Scala Copy to clipboardCopy spark.readStream.format("delta")   .option("startingVersion", "5")   .load("/tmp/delta/user_events") If you want to read changes since 2018-10-18, use:  Scala Copy to clipboardCopy spark.readStream.format("delta")   .option("startingTimestamp", "2018-10-18")   .load("/tmp/delta/user_events")).
+
+5. To do step 4, you should parameterize your DLT pipeline, which can be done by following these [instructions](https://medium.com/towardsdev/how-to-parameterize-delta-live-tables-and-import-reusable-functions-1994156db7fb).
+
+### Q5.) Does DLT support Identity Columns?
+
+Yes, more details [here](https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-faqs-issues.html#how-do-i-use-identity-columns-when-creating-live-tables-with-sql). However, Identity columns are not supported with [APPLY CHANGES](https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cdc.html) tables.
+
+### Q6.) How to stream out of a table which was loaded using apply_changes?
+
+This is generally not recommended. The target of the APPLY CHANGES INTO query or apply_changes the function cannot be used as a source for a streaming live table. A table that reads from the target of a APPLY CHANGES INTO query or apply_changes function must be a live table.
+
+You can rely on enabling [SCD](https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cdc.html) and then use audit columns (__START_AT &__END_AT)to identify the changes. However, the downstream would still have to do a batch read and filter on these audit columns to limit the information being read.
+
+**If you are adventurous** and still want to do a read stream of this source. You need to enableChangeDataFeed on the delta table ‘fact_sales’.
+
+    @dlt.table(name="fact_sales",
+      comment="This is a fact tables for sales",
+      partition_cols = ["order_date"],
+      table_properties={
+        "pipelines.autoOptimize.zOrderCols": "StoreId,ItemId",
+        "delta.enableChangeDataFeed": "true",
+      }
+    )
+
+Then you can decide to stream changes out of the __apply_changes_{table_name} . Make sure to handle tombstones/deletes as part of your downstream pipeline.
+
+### Q7.) How to delete Data using DLT?
+
+Use the [Change Data Capture](https://docs.databricks.com/delta-live-tables/cdc.html) functionality of DLT. The particular expression which will help you achieve this is called **apply_as_deletes. **You can change the parameter to match your custom criteria. For example, if you had bad records originating in a specific time interval or file name, you can change the expression to meet your custom criteria.
+
+    import dlt
+    from pyspark.sql.functions import col, expr
+    
+    @dlt.view
+    def users():
+      return spark.readStream.format("delta").table("cdc_data.users")
+    
+    dlt.create_streaming_live_table("target")
+    
+    dlt.apply_changes(
+      target = "target",
+      source = "users",
+      keys = ["userId"],
+      sequence_by = col("sequenceNum"),
+      apply_as_deletes = expr("operation = 'DELETE' or {any other custom logic} "),
+      except_column_list = ["operation", "sequenceNum"],
+      stored_as_scd_type = "2"
+    )
+
+### Q8.) How to avoid accidental overwrites in DLT?
+
+Set this property so that tables cannot be overwritten.
+
+pipelines.reset.allowed false
+
+### Q9.) DLT Pipeline was deleted, but the Delta table exists. What to do now? What if the owner has left the org and I need a new DLT pipeline to take care of the table
+
+Step 1.) Verify via CLI if the pipeline has been deleted
+
+    databricks --profile <your_env> pipelines list
+    databricks --profile <your_env> pipelines get --pipeline-id <deleted_pipeline_id>
+
+Step 2.) Change the owner of the table
+
+    ALTER TABLE <db>.<table> SET TBLPROPERTIES(pipelines.pipelineId = '<NEW_PIPELINE_ID>');
+
+Note: In case you do not have a pipeline ID yet, you can use the below parameter once; run your pipeline to get the pipeline ID and then remove the below parameter.
+
+pipelines.tableManagedByMultiplePipelinesCheck.enabledto false
+
+### Q10.) How does sequence_by work in apply_changes() ?
+
+There are two types of data management strategies with apply_changes:
+
+Type 1 involves keeping only the latest state of a record. This means that if an older record arrives out-of-order and we already have a newer record in the target, the older record will not update the target because it is not the latest state.
+
+Type 2 involves keeping a history of all records. This means that if an out-of-order record arrives, it is considered as a historical entry and will update the table by adding a new entry to the history.
+
+If you experience unexpected behavior with deletes; you should consider altering the following property pipelines.cdc.tombstoneGCThresholdInSeconds
+[**Delta Live Tables properties reference**
+*This article provides a reference for Delta Live Tables JSON setting specification and table properties in Databricks.*docs.databricks.com](https://docs.databricks.com/en/delta-live-tables/properties.html#cdc)
+
+### Q11.) How to make Python UDF work in DLT + UC?
+
+Add a tag to your pipeline “PythonUDF.enabled”: “true” and DLT “channel”: “PREVIEW”
+
+            {
+                "label": "default",
+                "aws_attributes": {
+                    "instance_profile_arn": "fill_this"
+                },
+                "custom_tags": {
+                    "PythonUDF.enabled": "true"
+                },
+                "autoscale": {
+                    "min_workers": 1,
+                    "max_workers": 5,
+                    "mode": "ENHANCED"
+                }
+            },
+
+This information is subject to change, and the parameter might not be needed in the future.
+
+## Footnote:
+
+Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website [**CanadianDataGuy.com](https://canadiandataguy.com/)** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.
diff --git a/content/blog/FromBeginnerToProAComprehensiveGuideToUnderstandingTheSparkStreamingCheckpoint.md b/content/blog/FromBeginnerToProAComprehensiveGuideToUnderstandingTheSparkStreamingCheckpoint.md
new file mode 100644
index 000000000..c0dea4e81
--- /dev/null
+++ b/content/blog/FromBeginnerToProAComprehensiveGuideToUnderstandingTheSparkStreamingCheckpoint.md
@@ -0,0 +1,133 @@
+---
+title: "Dive Deep into Spark Streaming Checkpoint"
+description: ""
+draft: false
+date: 2023-03-21T06:14:44.575Z
+draft: false
+tags : ["checkpoint","streaming","spark streaming"]
+categories : ["streaming","databricks"]
+banner: "https://images.unsplash.com/photo-1574645434327-cb7970fe2e13?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=774&q=80"
+---
+
+# From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint
+
+
+Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient. To mitigate this problem, Spark provides a mechanism called checkpointing.
+
+![](https://miro.medium.com/v2/resize:fit:720/0*ak1MMnA6tCrEkkNT)
+
+## Why do we even need a checkpoint?
+Someone needs to remember what was done before or what was processed before, or what we know so far. All this information needs to be stored somewhere. The place where this is stored is called a Checkpoint. 
+
+
+
+
+
+## How does checkpoint work?
+Think of it as a 3 step process:
+
+1. Fetch the source metadata and write to Write Ahead Log (WAL)/Offsets
+2. Fetch the source data, process it, and write to sink
+3. Write state & commit information
+
+Checkpoints store the current offsets and state values (e.g. aggregate values) for your stream. Checkpoints are stream specific, so each should be set to its own location. 
+
+
+
+> This is an advanced blog and should be read with the expectation of familiarizing and not understanding. Read this and bookmark it; once you come across a situation where you need to dig into the checkpoint, this blog will come in handy. 
+
+
+
+## What is inside a checkpoint folder?
+It will have 3 folders inside it and a metadata file:
+* offsets: This contains the WAL information.
+* commits: Once data is processed, the offset information will go inside it
+* State: Only if stateful operations are involved.
+
+  
+* metadata: Metadata about the stream. This is a file
+
+![list of files](https://lh3.googleusercontent.com/wvwCRGZhF2PCv1K87iVQXx889xijfZQMl8ouEoycJmISg3NJZRMOSH6L_P5uyGCXSToPE4PKdoV9lv1GmfHEIcXwyw0zxZRYN9MppbABZ9oOJEoGidJIiudkeyhwNQO0l3A5PxxbUYysGn-urbN2fi8)
+
+
+
+### What is inside the Offsets file?
+The easiest way to think about it is that once we start processing a micro-batch of data. We need to store an upper bound mark and a lower bound mark of the data. This mark could be called an offset. Think if you a measuring something with a scale and you need to log the reading. This reading, aka the offset, we will store in the offsets file.
+
+![Water Ruller](https://media.istockphoto.com/id/453511059/photo/deep-water-guage.jpg?s=612x612&w=is&k=20&c=FUjA9o3QJ-qW8DNWR7QLtjBczBm0jt82y9SbTT9eNRI=)
+
+
+
+
+Different sources like Kafka, Kinesis, Delta, etc., all have different ways of defining offsets, but conceptually they are the same.
+
+* Kafka: you will find { "topic_name: {"partition_number": offset_number } . More information can be found in this [blog](https://medium.com/@canadiandataguy/how-to-upgrade-your-spark-stream-application-with-a-new-checkpoint-4dce7fa2cd96).
+
+For this blog, let's concentrate on Delta as a streaming source.
+
+* Reservoir ID (aka Table ID): This is your Delta Table id
+* reservoirVersion is the version of the Delta table that the micro-batch(current stream execution) started with
+* Index: File index of the current Delta Table version being processed. Every time you write to a Delta table, the Table version is incremented. As part of the write operation, multiple files are written. Within that Delta Table Version, the file number being processed is represented by the index. 
+* isStartingVersion: This is just true or false. It is true to denote a query starting rather than processing changes.
+
+
+
+![offsets](https://lh5.googleusercontent.com/vfg-MulqfyLYZg283T4SUXTnDk_69k2LLdDID3TUPw18_JhAcuMEGzhYUK1cUOCd5bksGK5baQ_jd1WdEyAL0XaScX89gcdfCboXC2qaiZShqjqaQr-VeEotykz-iEn0q-Q9z2XRXOynzHgm6760Pmo)
+
+
+
+
+### Metadata
+This stores the stream-id, which is generated when the stream starts and remains the same throughout the life of the checkpoint.
+
+
+
+
+![metadata](https://lh5.googleusercontent.com/6e-50SDaKfOdxQZ8gzX6xbdY9pNNfvQzWlLvaTM1-DcdQfRKBRPKaMiEED3QB4AbfBpE5JfktYDMbn1EVfH7We8aIV3VO46Gq27on4TXIQNeFlmJbye7lxP99trJP46yDifB4uFnfJtceD_nyFOmdZ0)
+
+
+
+
+### Commits
+These files are generated only when the micro-batch succeeds. Offsets are generated at the start of the micro-batch. If the offset did not have a corresponding commit, a failure happened when processing that offset. 
+
+In an ideal scenario, the number of commit files equals the number of offset files. However, when they are not equal, the next Spark Streaming knows where to start because it's stored in the offset file, which did not have a corresponding commit. Furthermore, watermarking information would be found here.
+
+
+
+
+
+![commits](https://lh3.googleusercontent.com/9AYQ33-jCAF0lOt6-BglpbM61m5u0R5L9jPdwVz-vDGGnNNIJlQulLPSdggnpMNeCX90u5p-MJfzk39rOkTR03JOSdCA9d1e_hD9AbjwTiSRseLlmnq9RaaWLQ6JrsvhCwgCase3-Kl-7PTyHfT9Pnc)
+
+
+
+
+### State Store
+This folder only has data in the case of Stateful Streaming, where the State is stored on disk for resiliency purposes. Thus when failures happen, the state can be recovered from here. 
+* State is also stored as a Delta table
+* _metadata  will hold the schema of the state
+
+
+
+
+
+![state](https://lh5.googleusercontent.com/uJUjG1bSX73eC0HJhBMTwuqgLyDBLmdrh6Ra0OR5TOg22jLbPoGt9Oxgh5qpUZj5iyyl5R6SUsLvNx6aX1kTgPiXdce3xsYe14nU6qqymboHl13lOCZ2ETUI4tat2kTXOr8_fgXkPvKXC5PbUsFGwaQ)
+
+
+ 
+
+------------------------------
+------------------------
+
+
+## References
+Please spare some time to look at the below to help absorb the above content further.
+1. <https://www.youtube.com/watch?v=1cBDGsSbwRA&t=442s>
+2. https://www.databricks.com/blog/2022/12/12/streaming-production-collected-best-practices.html
+
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
+
diff --git a/content/blog/HowIWroteMyFirstSparkStreamingApplicationWithJoins.md b/content/blog/HowIWroteMyFirstSparkStreamingApplicationWithJoins.md
new file mode 100644
index 000000000..514fe08f2
--- /dev/null
+++ b/content/blog/HowIWroteMyFirstSparkStreamingApplicationWithJoins.md
@@ -0,0 +1,149 @@
+---
+title: "How I wrote my first Spark Streaming Application with Joins?"
+date: 2023-01-25T17:35:21-05:00
+draft: false
+tags : ["streaming"]
+categories : ["streaming","spark streaming", "databricks"]
+banner: "https://miro.medium.com/v2/resize:fit:720/0*IUhD1QKtwgHKBdb8"
+---
+
+
+
+## How I wrote my first Spark Streaming Application with Joins with working code
+
+When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how [simple streaming ](https://www.databricks.com/blog/2022/07/14/using-spark-structured-streaming-to-scale-your-analytics.html)is and build their first application.
+
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.
+
+![Photo by [Ian Schneider](https://unsplash.com/@goian?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/10644/0*IUhD1QKtwgHKBdb8)
+
+## Scenario:
+
+Let’s assume we have a streaming source with data arriving all the time. We want to add more attributes from another table( Think lookup table/ dimension table). Thus we will stream the data and join with the lookup table via Stream-Batch join. The result would be written as a Delta table, which could be used downstream for analytics or streaming.
+
+**Imports & Parameters**
+
+    from pyspark.sql import functions as F
+    from faker import Faker
+    import uuid
+    
+    # define schema name and where should the table be stored
+    schema_name = "test_streaming_joins"
+    schema_storage_location = "/tmp/CHOOSE_A_PERMANENT_LOCATION/"
+    
+    
+    # Please download this file from https://simplemaps.com/data/us-zips then download and place it at a location of your choice and then change the value for the variable below
+    static_table_csv_file = "/FileStore/jitesh.soni/data/us_zip_code_and_its_attributes.csv"
+    
+    # Static table specification
+    static_table_name = "static_zip_codes"
+    
+    
+    # Target Stareaming Table specification
+    target_table_name = "joined_datasets"
+    
+    # Recommend you to keep the checkpoint next to the Delta table so that you do have to notion about where the checkpoint is
+    checkpoint_location = f"{schema_storage_location}/{target_table_name}/_checkpoints/"Create Target Database
+
+* The below code will help create a schema/database with comments and storage locations for tables
+
+    create_schema_sql = f"""
+        CREATE SCHEMA IF NOT EXISTS {schema_name}
+        COMMENT 'This is {schema_name} schema'
+        LOCATION '{schema_storage_location}'
+        WITH DBPROPERTIES ( Owner='Jitesh');
+        """
+    print(f"create_schema_sql: {create_schema_sql}")
+
+### **Generate Static Or a lookup Dataset**
+
+We will use a public dataset [source](https://simplemaps.com/data/us-zips) with attributes about a zip code. This could be any other static source or a Delta table being updated in parallel.
+
+**Note**: If you pick a static source and start streaming, Spark Streaming will only read it once. If you have a few updates to the static source, you will have to restart the Spark Stream so it rereads the static source.
+
+Meanwhile, if you have the Delta table as a source, then Spark Streaming will identify the update automatically, and nothing extra needs to be done.
+
+    csv_df = (
+        spark.read.option("header", True)
+        .option("inferSchema", True)
+        .csv(static_table_csv_file)
+    )
+    display(csv_df)
+    csv_df.write.saveAsTable(f"{schema_name}.{static_table_name}")
+
+Next, we will Z-order the table on the key, which would be used in joins. This will help Spark Streaming do efficient joins because the Delta table is sorted by join key with statistics about which file contains which key value.
+
+    spark.sql(
+        f"""
+        OPTIMIZE {schema_name}.{static_table_name} ZORDER BY (zip);
+        """
+    )
+
+### Generate Streaming Dataset
+
+We will generate a Streaming dataset using the Faker library. In the below code, we will define a few user-defined functions.
+
+    fake = Faker()
+    fake_id = F.udf(lambda: str(uuid.uuid4()))
+    fake_firstname = F.udf(fake.first_name)
+    fake_lastname = F.udf(fake.last_name)
+    fake_email = F.udf(fake.ascii_company_email)
+    # fake_date = F.udf(lambda:fake.date_time_this_month().strftime("%Y-%m-%d %H:%M:%S"))
+    fake_address = F.udf(fake.address)
+    fake_zipcode = F.udf(fake.zipcode)
+
+Now, we will use *spark.readStream.format(“rate”) *to generate data at your desired rate.
+
+    streaming_df = (
+        spark.readStream.format("rate")
+        .option("numPartitions", 10)
+        .option("rowsPerSecond", 1 * 1000)
+        .load()
+        .withColumn("fake_id", fake_id())
+        .withColumn("fake_firstname", fake_firstname())
+        .withColumn("fake_lastname", fake_lastname())
+        .withColumn("fake_email", fake_email())
+        .withColumn("fake_address", fake_address())
+        .withColumn("fake_zipcode", fake_zipcode())
+    )
+    
+    # You can uncomment the below display command to check if the code in this cell works
+    # display(streaming_df)
+
+## Stream- Static Join or Stream -Delta Join
+
+Structured Streaming supports joins (inner join and left join) between a streaming and a static DataFrame or a Delta Table. [However, a few types of stream-static outer Joins are not supported yet.](https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#support-matrix-for-joins-in-streaming-queries)
+
+    lookup_delta_df = spark.read.table(static_table_name)
+    
+    
+    joined_streaming_df = streaming_df.join(
+        lookup_delta_df,
+        streaming_df["fake_zipcode"] == lookup_delta_df["zip"],
+        "left_outer",
+    ).drop("fake_zipcode")
+    # display(joined_streaming_df)
+
+### Orchestrate the pipeline and write Spark Stream to Delta Table
+
+Some Tips:
+
+* Give your streaming query a name. It’s good because this name will appear on Spark UI and help you monitor the stream.
+
+* If you are not planning to run the Stream continuously then use *trigger(availableNow=True)*. This helps process all pending data and then stops the stream automatically.
+
+    (
+        joined_streaming_df.writeStream
+        # .trigger(availableNow=True)
+        .queryName("do_a_stream_join_with_the_delta_table")
+        .option("checkpointLocation", checkpoint_location)
+        .format("delta")
+        .toTable(f"{schema_name}.{target_table_name}")
+    )
+
+### [Download the code](https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/spark_stream_static_join.py)
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
+
diff --git a/content/blog/HowToGetTheJobIdAndRunIdForADatabricksJob.md b/content/blog/HowToGetTheJobIdAndRunIdForADatabricksJob.md
new file mode 100644
index 000000000..29c32a279
--- /dev/null
+++ b/content/blog/HowToGetTheJobIdAndRunIdForADatabricksJob.md
@@ -0,0 +1,50 @@
+---
+title: "How to get the Job ID and Run ID for a Databricks Job"
+date: 2023-02-23T17:35:21-05:00
+draft: false
+tags : ["job_id", "run_id"]
+categories : ["databricks"]
+banner: "https://miro.medium.com/v2/resize:fit:720/format:webp/1*bPfmY6lG-OxW2l1s5szFsQ.png"
+---
+
+## **How to get the Job ID and Run ID for a Databricks Job with working code**
+
+Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed [here](https://docs.databricks.com/workflows/jobs/jobs.html#id4).
+
+This is a simple 2-step process:
+
+ 1. Pass the parameter when defining the job/task
+
+ 2. Get/Fetch and print the values
+
+### Step 1: Pass the parameters
+
+![](https://cdn-images-1.medium.com/max/4228/1*bPfmY6lG-OxW2l1s5szFsQ.png)
+
+### Step 2: Get/Fetch and print the values
+
+    print(f"""
+      job_id: {dbutils.widgets.get('job_id')}
+      run_id: {dbutils.widgets.get('run_id')}
+      parent_run_id: {dbutils.widgets.get('parent_run_id')}
+      task_key: {dbutils.widgets.get('task_key')}
+      """)
+
+Next step, when you run the job; you should see an output like this
+
+![](https://cdn-images-1.medium.com/max/2220/1*McAX0ziUTXYc-aATZmHpgw.png)
+
+## Advanced & Optional:
+
+In case you do not have a specific attribute in mind but want to capture the whole context information instead.
+>  The below is code based and attributes are subject to change without notice
+
+    dbutils.notebook.entry_point.getDbutils().notebook().getContext().toJson()
+
+
+
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
diff --git a/content/blog/HowToParameterizeDeltaLiveTablesAndImportReusableFunctions.md b/content/blog/HowToParameterizeDeltaLiveTablesAndImportReusableFunctions.md
new file mode 100644
index 000000000..2f74e5063
--- /dev/null
+++ b/content/blog/HowToParameterizeDeltaLiveTablesAndImportReusableFunctions.md
@@ -0,0 +1,215 @@
+---
+title: "How to parameterize Delta Live Tables and import reusable functions"
+date: 2022-12-13T17:35:21-05:00
+draft: false
+tags : ["delta live tables"]
+categories : ["streaming","spark streaming","databricks"]
+banner: "https://miro.medium.com/v2/resize:fit:720/0*-xOdeCgLJ0kOG2oG"
+---
+
+
+## How to parameterize Delta Live Tables and import reusable functions with working code
+
+![Photo by [Roberto Nickson](https://unsplash.com/@rpnickson?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/10944/0*-xOdeCgLJ0kOG2oG)
+
+This blog will discuss passing custom parameters to a Delta Live Tables (**DLT**) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+>  **Update**: As of [*December 2022,](https://docs.databricks.com/release-notes/delta-live-tables/2022/49/index.html) you can directly import files if the [reusable_functions.py file exists in the same repository ](https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#import-python-modules-from-a-databricks-repo)by just using the import command, which is the preferred approach. However, in case these reusable_functions.py file exists outside the repository, you can take the sys.path.append() approach mentioned below.*
+
+Overall, this a 4-step process:
+
+ 1. Create a *reusable_functions.py *file
+
+ 2. Add code to receive the DLT parameters
+
+ 3. Append the path to reusable_functions.py file and import the functions in the notebook
+
+ 4. Create a DLT pipeline and set/pass parameters
+
+## 1. Create a *reusable_functions.py *file
+
+Create a reusable function in a Python File (not Notebook), so we can import it later. Let’s call the file ‘reusable_functions.py’ below and place it in a path. Please make sure to note the absolute path of the **folder** where this file will be placed.
+
+    from pyspark.sql import DataFrame
+    from pyspark.sql.functions import current_timestamp, current_date
+    
+    def append_ingestion_columns(_df: DataFrame):
+        return _df.withColumn("ingestion_timestamp", current_timestamp()).withColumn(
+            "ingestion_date", current_date()
+        )
+    
+
+## 2. Add code to receive the DLT parameters
+
+The below function is defined with try and except block so that it can work with Notebook as well, where we cannot pass the parameter value from the DLT pipeline
+
+    from pyspark.sql import SparkSession
+    
+    spark = SparkSession.getActiveSession()
+    
+    
+    def get_parameter_or_return_default(
+        parameter_name: str = "pipeline.parameter_blah_blah",
+        default_value: str = "default_value",
+    ) -> str:
+        try:
+            parameter = spark.conf.get(parameter_name)
+        except Exception:
+            parameter = default_value
+        return parameter
+
+In this example, we will pass two parameters: *path_to_reusable_functions* & *parameter_abc. *Then we will use the function defined previously to get and set default values for both.
+
+    path_to_reusable_functions = get_parameter_or_return_default(
+        parameter_name="pipeline.path_to_reusable_functions",
+        default_value="/Workspace/Repos/jitesh.soni@databricks.com/material_for_public_consumption/",
+    )
+    
+    parameter_abc = get_parameter_or_return_default(
+        parameter_name="pipeline.parameter_abc", default_value="random_default_value"
+    )
+
+## 3. Append the path to reusable_functions.py file and import the functions in the notebook
+
+    import sys
+    
+    # Add the path so functions could be imported
+    sys.path.append(path_to_reusable_functions)
+    
+    # Attempt the import
+    from reusable_functions import append_ingestion_columns
+
+Next step, we will define a function to return a DataFrame and the run display command to see the output of the function. This helps one test if the code works without running the DLT pipeline.
+
+    def static_dataframe():
+        df_which_we_got_back_after_running_sql = spark.sql(
+            f"""
+                SELECT 
+                    '{path_to_reusable_functions}' as path_to_reusable_functions
+                    ,'{parameter_abc}' as parameter_abc
+            """
+        )
+        return append_ingestion_columns(df_which_we_got_back_after_running_sql)
+    
+    
+    display(static_dataframe())
+
+At this point, you should be able to run your notebook and **validate everything works before we create a DLT pipeline**.
+
+Next step, we define a DLT table.
+
+    import dlt
+    
+    
+    @dlt.table(name="static_table", comment="Static table")
+    def dlt_static_table():
+        return static_dataframe()
+
+## 4. Create a DLT pipeline and set/pass parameters
+
+At this step, we can create a DLT pipeline via UI, add our custom parameters, and assign them values.
+
+![](https://cdn-images-1.medium.com/max/2000/0*1gT1kzPb_JkvO2Vn.png)
+
+The full JSON representation would look something like this, we only care about the ***configuration ***section in this JSON.
+
+    {
+        "id": "d40fa97a-5b5e-4fe7-9760-b67d78a724a1",
+        "clusters": [
+            {
+                "label": "default",
+                "policy_id": "E06216CAA0000360",
+                "autoscale": {
+                    "min_workers": 1,
+                    "max_workers": 2,
+                    "mode": "ENHANCED"
+                }
+            },
+            {
+                "label": "maintenance",
+                "policy_id": "E06216CAA0000360"
+            }
+        ],
+        "development": true,
+        "continuous": false,
+        "channel": "PREVIEW",
+        "edition": "CORE",
+        "photon": false,
+        "libraries": [
+            {
+                "notebook": {
+                    "path": "/Repos/jitesh.soni@databricks.com/material_for_public_consumption/notebooks/how_to_parameterize_delta_live_tables_and_import_reusable_functions"
+                }
+            }
+        ],
+        "name": "how_to_parameterize_delta_live_tables_and_import_reusable_functions",
+        "storage": "dbfs:/pipelines/d40fa97a-5b5e-4fe7-9760-b67d78a724a1",
+        "configuration": {
+            "pipeline.parameter_abc": "this_was_passed_from_dlt_config",
+            "pipeline.path_to_reusable_functions": "/Workspace/Repos/jitesh.soni@databricks.com/material_for_public_consumption/"
+        },
+        "target": "tmp_taget_schema"
+    }
+
+Trigger your DLT pipeline.
+
+If you have reached so far, you should have an end-to-end DLT pipeline working with parameter passing and imports.
+
+## *Update | How do you edit these parameters via API or CLI
+
+Below are screenshots of how to edit these parameters via CLI. The API solution would be similar.
+
+**Create a JSON file with the parameters:**
+
+    {
+      "id": "d40fa97a-5b5e-4fe7-9760-b67d78a724a1",
+      "name": "how_to_parameterize_delta_live_tables_and_import_reusable_functions",
+      "clusters": [
+            {
+                "label": "default",
+                "policy_id": "E06216CAA0000360",
+                "autoscale": {
+                    "min_workers": 1,
+                    "max_workers": 5,
+                    "mode": "ENHANCED"
+                }
+            },
+            {
+                "label": "maintenance",
+                "policy_id": "E06216CAA0000360"
+            }
+        ],
+    "configuration": {
+        "pipeline.parameter_created_from_jobs_cli": "this_was_created_from_jobs_cli",
+        "pipeline.parameter_abc": "this_was_passed_from_dlt_config_via_job_cli",
+        "pipeline.path_to_reusable_functions": "/Workspace/Repos/jitesh.soni@databricks.com/material_for_public_consumption/"
+      },
+      "libraries": [
+            {
+                "notebook": {
+                    "path": "/Repos/jitesh.soni@databricks.com/material_for_public_consumption/notebooks/how_to_parameterize_delta_live_tables_and_import_reusable_functions"
+                }
+            }
+        ]
+    }
+
+**Call the Datarbricks CLI to push the changes:**
+
+![](https://cdn-images-1.medium.com/max/3058/1*5Fdze_mGyR_ywFNFbl4iGw.png)
+
+**Go back to Delta Live Tables UI and the change would have gone through**
+
+![](https://cdn-images-1.medium.com/max/2548/1*dxGip_nh1nJyCefohlkZxg.png)
+
+### Download the code
+
+[DLT notebook](https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/how_to_parameterize_delta_live_tables_and_import_reusable_functions.py) and [Reusable_function.py](https://github.com/jiteshsoni/material_for_public_consumption/blob/main/reusable_functions.py)
+
+### References
+[**Delta Live Tables settings**](https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-configuration.html#parameterize-pipelines)
+
+[https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#import-python-modules-from-a-databricks-repo](https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#import-python-modules-from-a-databricks-repo)
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
diff --git a/content/blog/HowToPrepareYourselfToBeBetterAtDataInterviews.md b/content/blog/HowToPrepareYourselfToBeBetterAtDataInterviews.md
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+---
+title: "How to prepare yourself to be better at Data Interviews?"
+date: 2023-01-27T17:35:21-05:00
+draft: false
+tags : ["books"]
+categories : ["interviewing","coaching"]
+banner: "https://miro.medium.com/v2/resize:fit:720/format:webp/1*HaEcA9459qFpzSyFKC8Lgw.jpeg"
+---
+
+## How to prepare yourself to be better at Data Interviews?
+
+In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+
+Popular skill set as of 2023 still seems to be SQL, Python & Big Data fundamentals. Here is how to prepare for each of them.
+
+## Big Data fundamentals and Data Warehousing
+
+* [Designing Data-Intensive Applications](https://amzn.to/3ik9Oqk) “The Big Ideas Behind Reliable, Scalable, and Maintainable Systems”
+
+When you read this book, do not expect to understand this after the first attempt; Just read through it. Some chapters make sense in the second or third iteration. Do not quit on the book because it’s too daunting at first. I have read this book at least five times and keep revising some chapters occasionally, improving my conceptual understanding.
+
+* [The Data Warehouse Toolkit](https://amzn.to/3Us4ij7): The Definitive Guide to Dimensional Modeling, 3rd Edition
+
+Written by “Ralph Kimball” who is considered a thought leader for Data Warehousing. The concepts you will learn in this book still hold true in 2023.
+
+![](https://cdn-images-1.medium.com/max/2000/1*HaEcA9459qFpzSyFKC8Lgw.jpeg)
+
+I encourage you to ponder how these concepts hold in the Big Data space when you read this book. As a function of time, many of us graduated directly into the Big Data space without understanding data warehousing enough.
+
+## Think in SQL:
+
+Most businesses do a SQL interview in addition to a coding interview because it is a crucial competence for data engineers, scientists or analysts. Building dependable and scalable data processing and data modelling solutions is your job, and SQL should come naturally to you.
+
+* People have a bad habit of running code every time they make a change. However, this often limits one's ability to think about what big blocks of code do together. A good rule of thumb is to run each SQL solution, at most twice, when practicing for the coding round.
+
+* Write formatted SQL with self-descriptive variable names
+
+* Learn about partitions, indexes, etc.
+
+* (Advanced) Learn about explain plan and how databases run your query
+
+## Practice Python/ ( Or a language of your choice)
+
+To practice your coding skills, you must use a whiteboard rather than just paper or integrated development environments (IDEs), which provide syntax support and standard formatting. Doing this will make you feel more at ease during the actual coding interview rounds. You ought to be knowledgeable about both simple and complicated issues. Learning the foundations of a programming language, like Python, and practicing its syntax and commands are good places to start.
+
+* Learn the Big O Notion so that you can write performant and testable code
+
+* Practice on an online platform: InterviewQuery, Leetcode, Hackerrank, etc
+
+Read the below books
+
+* [Elements of Programming Interviews in Python: The Insiders’ Guide](https://amzn.to/3F7J9Gj)
+
+* [Cracking the Coding Interview: 189 Programming Questions and Solutions](https://amzn.to/3GUFm0j)
+
+### Practice Interviewing:
+
+As you start applying for jobs and come close to the on-site interview stage, practicing mock interviews with peers and experienced coaches who can give you personalized feedback to improve your interview performance is beneficial. Interviewing is a skill that needs to be polished before you go to the on-site interviews.
+
+I recommend the candidates think about opportunity loss. Finding a good coach who can provide valuable tips can shorten your learning curve and will help you identify your blind spot.
+
+Example: If you land a job worth $100K a week early. Then a week represents **~$1923 of opportunity.**
+
+### Blind:
+
+[**Blind](https://www.teamblind.com/)** is an anonymous community **app** for the workplace. The tech community is very helpful and transparent. Always research the company, their interview style and compensation before your interviews.
+>  **“Opinions expressed are solely my own and do not express the views or opinions of my employer**.”
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
diff --git a/content/blog/HowToUpgradeYourSparkStreamApplicationWithANewCheckpoint.md b/content/blog/HowToUpgradeYourSparkStreamApplicationWithANewCheckpoint.md
new file mode 100644
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+---
+title: "How to upgrade your Spark Stream application with a new checkpoint!"
+date: 2023-01-25T17:35:21-05:00
+draft: false
+tags : ["delta live tables","checkpoint","kafka"]
+categories : ["streaming","spark streaming"]
+banner: "https://miro.medium.com/v2/resize:fit:720/0*42drq4qeYGri5KRH"
+---
+
+## How to upgrade your Spark Stream application with a new checkpoint With working code
+
+Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+
+ 1. You are doing a code/application change where you are changing logic
+
+ 2. Major Spark Version upgrade from Spark 2.x to Spark 3.x
+
+ 3. The previous deployment was wrong, and you want to reprocess from a certain point
+
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.
+
+Not every scenario requires a new checkpoint. [Here is a list of things you can change without requiring a new checkpoint.](https://docs.databricks.com/structured-streaming/query-recovery.html#types-of-changes-in-structured-streaming-queries)
+
+This blog helps you understand how to handle a scenario where a new checkpoint is unavoidable.
+
+![Photo by [Patrick Tomasso](https://unsplash.com/@impatrickt?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)](https://cdn-images-1.medium.com/max/9184/0*42drq4qeYGri5KRH)
+
+## Kafka Basics: Topics, partition & offset
+
+**Kafka Cluster has Topics: **Topics are a way ****to organize messages. Each topic has a name that is unique across the entire Kafka cluster. Messages are sent to and read from specific topics. In other words, producers write data on a topic, and consumers read data from the topic.
+
+Topics have **Partitions, **and data/messages are distributed across partitions. Every message belongs to a single partition.
+
+Partition has messages, each with a unique sequential identifier within the partition called the **Offset.**
+
+**What is the takeaway here?**
+
+We must identify what offset has already been processed for each partition, and this information can be found inside the checkpoint.
+
+![](https://cdn-images-1.medium.com/max/6900/1*VQWCgcWIIgBJnzpjAaDj_A.png)
+
+## What information is inside the checkpoint?
+
+* Fetch metadata & write it to WAL(write-ahead log) in the checkpoint. **WAL**: a roll-forward journal that records transactions that have been committed but not yet applied to the main data
+
+* Fetch the actual data → process data with state info and then write it to the sink
+
+* Write the stateful information & commit to the checkpoint
+
+Under the checkpoint folder, there are four subfolders:
+
+ 1. Sources (contain starting offset of Kafka)
+
+ 2. Offsets (consist of WAL information)
+
+ 3. Commits (after completion of the entire process, it goes to the commit)
+
+ 4. State (only for stateful operations + 1 file of metadata)
+
+## How to fetch information about Offset & Partition from the Checkpoint folder?
+
+List the files at the checkpoint location; we are looking for the **offsets** folder.
+
+    checkpoint_location= "/checkpoint_location/checkpoint_for_kafka_to_delta"
+    dbutils.fs.ls(checkpoint_location)dbutils.fs.ls(f”{checkpoint_location}/”)
+
+![](https://cdn-images-1.medium.com/max/4952/1*PfyMkhWGTUh5nxJHRoG5ug.png)
+
+Next, we will list the files under the commits folder and identify the most recent commits.
+
+    dbutils.fs.ls(checkpoint_location)
+    dbutils.fs.ls(f”{checkpoint_location}/commits”)
+
+    /checkpoint_location/checkpoint_for_kafka_to_delta/commits/0
+    /checkpoint_location/checkpoint_for_kafka_to_delta/commits/1
+    /checkpoint_location/checkpoint_for_kafka_to_delta/commits/2
+
+Once we identify the last **commits** file number; we will open the equivalent offsets file. In this example, we can see the latest commits is “**2”.**
+
+Now let’s view the contents of the offsets file.
+
+    #%fs head {FILL_THE_EXACT_PATH_OF_THE_FILE_WHICH_NEEDS_TO_BE_VIEWED}
+    %fs head /checkpoint_location/checkpoint_for_kafka_to_delta/offsets/2
+    
+    {"batchWatermarkMs":0,"batchTimestampMs":1674623173851,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"200"}}
+    {"topic_name_from_kafka":{"0":400000, "1":300000}}
+
+The information of interest is in the end. This has the topic name and offset per partition.
+
+*{“topic_name_from_kafka”:{“0”:400000, “1”:300000}}*
+
+## Now the easy part: Use Spark to start reading Kafka from a particular Offset
+
+Spark Streaming start[s read stream by default ](https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html#creating-a-kafka-source-for-streaming-queries)with the *latest *offset. However, it provides a parameter “startingOffsets” to select a custom starting point.
+
+    
+    startingOffsets = """{"topic_name_from_kafka":{"0":400000, "1":300000}}"""
+    
+    kafka_stream = (spark.readStream
+      .format("kafka")
+      .option("kafka.bootstrap.servers", kafka_bootstrap_servers_plaintext ) 
+      .option("subscribe", topic )
+      .option("startingOffsets", startingOffsets )
+      .load())
+    
+    display(kafka_stream)
+
+And we are Done!!. Recommend parameterizing your code so that “startingOffsets” can be passed as a parameter.
+
+### Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
+
diff --git a/content/blog/MergeMultipleSparkStreamsIntoADeltaTable.md b/content/blog/MergeMultipleSparkStreamsIntoADeltaTable.md
new file mode 100644
index 000000000..e14a3a0dc
--- /dev/null
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+---
+title: "Merge Multiple Spark Streams Into A Delta Table"
+date: 2022-10-13T04:09:03-05:00
+draft: false
+tags : ["merge","optimize","z order","foreachBatch"]
+categories : ["streaming","spark streaming", "databricks"]
+banner: "https://miro.medium.com/v2/resize:fit:720/format:webp/1*mJcyWScvq8JuU0cg_yQN5g.png"
+---
+
+## Merge Multiple Spark Streams Into A Delta Table with working code
+
+This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+
+Overall, the process works in the following manner:
+
+ 1. Read data from a streaming source
+
+ 2. Use this special function [***foreachBatch](https://docs.databricks.com/structured-streaming/foreach.html). ***Using this we will call any user-defined function responsible for all the processing.
+
+ 3. Our user-defined function runs the *Merge* and *Optimize over *the target Delta table.
+
+## Architecture
+
+![](https://cdn-images-1.medium.com/max/3040/1*mJcyWScvq8JuU0cg_yQN5g.png)
+
+First, we need some input data to merge. You could technically make a stream out of Kafka, Kinesis, s3, etc.
+
+However, for simplicity we will use .format(’rate’) to generate a stream. Feel free to alter numPartitions & rowsPerSecond . These parameters help you control how much volume of data you want to generate. In the below code, we generated 1,000 rows per second across 100 partitions.
+
+For the purpose of this blog, we will build 2 Spark streams one for each country Canada & USA.
+
+*USA’s stream*
+
+    generated_streaming_usa_df = (
+         spark.readStream
+            .format("rate")
+            .option("numPartitions", 100)
+            .option("rowsPerSecond", 1 * 1000)
+            .load()
+            .selectExpr(
+              "md5( CAST (value AS STRING) ) as md5"
+              ,"value"
+              ,"value%1000000 as hash"
+              ,"'USA' AS country"
+              ,"current_timestamp() as ingestion_timestamp"  
+            )
+    )
+
+    #display(generated_streaming_usa_df)
+
+*Canada’s Stream*
+
+    generated_streaming_canada_df = (
+         spark.readStream
+            .format("rate")
+            .option("numPartitions", 100)
+            .option("rowsPerSecond", 1 * 1000)
+            .load()
+            .selectExpr(
+              "md5( CAST (value AS STRING) ) as md5"
+              ,"value"
+              ,"value%1000000 as hash"
+              ,"'Canada' AS country"
+              ,"current_timestamp() as ingestion_timestamp"    
+            )
+    )
+
+    #display(generated_streaming_canada_df)
+
+## Parameters / Variables (Feel free to change as per your needs)
+
+    target_table_name = "to_be_merged_into_table_partitioned_by_country"
+    check_point_location_for_usa_stream = f"/tmp/delta/{target_table_name}/_checkpoints/_usa/"
+    check_point_location_for_canada_stream = f"/tmp/delta/{target_table_name}/_checkpoints/_canada/"
+    join_column_name ="hash"
+    partition_column = "country"
+
+## Create an Empty Delta table so data could be merged into it
+
+    #spark.sql(f"""  DROP TABLE IF EXISTS {target_table_name};""")
+    (  
+      generated_steaming_usa_df.writeStream
+      .partitionBy(partition_column)
+      .format("delta")
+      .outputMode("append").trigger(once=True)
+      .option("checkpointLocation", check_point_location_for_usa_stream)
+      .toTable(target_table_name)
+    )
+
+Check if data is populated. If you do not see any data, just run the above code snippet once more. Sometimes it takes time for the data to show up.
+
+    display(spark.read.table(target_table_name))
+
+## Now we will build the code for the user-defined function which does all the data processing, merge & Optimize
+
+    def make_changes_using_the_micro_batch(microBatchOutputDF, batchId: int):
+        print(f"Processing batchId: {batchId}")
+        microBatchOutputDF.createOrReplaceTempView("updates")
+        spark_session_for_this_micro_batch = microBatchOutputDF._jdf.sparkSession()
+        spark_session_for_this_micro_batch.sql(f"""
+          SELECT * 
+          FROM (
+            select *
+              ,rank() over(partition by {join_column_name} order by value desc) as dedupe
+            from updates
+            )
+          WHERE 
+              dedupe =1 
+       """).drop("dedupe").createOrReplaceTempView("updates_which_need_to_be_merged")
+        spark_session_for_this_micro_batch.sql(f"""
+        MERGE INTO {target_table_name} target
+        using updates_which_need_to_be_merged u 
+        on u.{partition_column} = target.{partition_column} 
+            AND u.{join_column_name} = target.{join_column_name} 
+        WHEN MATCHED THEN UPDATE SET *
+        WHEN NOT MATCHED THEN INSERT *
+        """)
+        optimize_every_n_batches = 20
+        #Define how often should optimize run? for example: at 50, it means that we will run the optimize command every 50 batches of stream data
+        if batchId % optimize_every_n_batches == 0:
+            optimize_and_zorder_table(table_name = target_table_name,  zorder_by_col_name = join_column_name)
+
+## Optimize/ Z-order a Delta table
+
+Why do we need to optimize a table? If we keep adding files to our Delta table and never optimize/sort them then over time we need to read a lot of files during merge time. Thus, optimizing the Delta table after every N merges is better. N needs to be decided on your latency requirements. You could start with N as 10 and change it as per your needs.
+
+The below code will run an optimize and zorder command on a given table that is being fed by a stream. Optimize commands can’t run in a silo because it will require us to pause and then resume the stream. Therefore, we need to call this function a part of the upsert function. This enables us to optimize before the next batch of streaming data comes through.
+
+    from timeit import default_timer as timer
+     
+     
+    def optimize_and_zorder_table(table_name: str, zorder_by_col_name: str) -> None:
+        """
+        Parameters:
+             table_name: str
+                     name of the table to be optimized
+             zorder_by_col_name: str
+                     comma separated list of columns to zorder by. example "col_a, col_b, col_c"
+        """
+        start = timer()
+        print(f"Met condition to optimize table {table_name}")
+        sql_query_optimize = f"OPTIMIZE  {table_name} ZORDER BY ({zorder_by_col_name})"
+        spark.sql(sql_query_optimize)
+        end = timer()
+        time_elapsed_seconds = end - start
+        print(
+            f"Successfully optimized table {table_name} . Total time elapsed: {time_elapsed_seconds} seconds"
+        )
+
+## Orchestrate the streaming pipeline end to end
+
+Read the **Canada** stream and merge into Delta table
+
+    (
+      generated_steaming_canada_df
+     .writeStream.format('delta')
+     #.trigger(availableNow=True) 
+     .trigger(processingTime='10 seconds')
+     .option("checkpointLocation", check_point_location_for_canada_stream)
+     .foreachBatch(make_changes_using_the_micro_batch)
+     .start()
+    )
+
+Read the **USA** stream and merge into Delta table
+
+    (
+      generated_steaming_usa_df
+     .writeStream.format('delta')
+     .trigger(processingTime='10 seconds')
+     .option("checkpointLocation", check_point_location_for_usa_stream)
+     .foreachBatch(make_changes_using_the_micro_batch)
+     .start()
+    )
+
+**Now, let’s validate that data is being populated**
+
+    display(
+        spark.sql(f"""
+            SELECT 
+                {partition_column} as partition_column
+                ,count(1) as row_count
+            FROM 
+                {target_table_name}
+            GROUP BY 
+                {partition_column}
+            """)
+    )
+
+If you have reached so far, you should have an end-to-end pipeline working with streaming data and merging data into a Delta table.
+
+## Download this notebook
+
+[https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/Merge%20Multiple%20Spark%20Streams%20Into%20A%20Delta%20Table.py](https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/Merge%20Multiple%20Spark%20Streams%20Into%20A%20Delta%20Table.py)
+
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
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diff --git a/content/blog/UsingSparkStreamingToMergeUpsertDataIntoADeltaLakeWithWorkingCode.md b/content/blog/UsingSparkStreamingToMergeUpsertDataIntoADeltaLakeWithWorkingCode.md
new file mode 100644
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@@ -0,0 +1,151 @@
+---
+title: "Using Spark Streaming to merge/upsert data into a Delta Lake with working code"
+date: 2022-10-12T04:06:14-05:00
+draft: false
+tags : ["merge","optimize","z order","foreachBatch","kafka"]
+categories : ["streaming","spark streaming" ,"databricks"]
+banner: "https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg"
+---
+
+## Using Spark Streaming to merge/upsert data into a Delta Lake with working code
+
+![](https://cdn-images-1.medium.com/max/2000/0*7Vzrx4tKynxXNKNg.jpg)
+
+This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+
+Overall, the process works in the following manner, we read data from a streaming source and use this special function [***foreachBatch](https://docs.databricks.com/structured-streaming/foreach.html). ***Using this we will call any user-defined function responsible for all the processing. This function encapsulates the *Merge* and *Optimize *to the target Delta table.
+
+First, we need some input data to merge. You could technically make a stream out of Kafka, Kinesis, s3, etc. for simplicity. Let’s generate a stream using the below. Feel free to alter numPartitions & rowsPerSecond . These parameters help you control how much volume of data you want to generate. In the below code, we generated 10,000 rows per second across 100 partitions.
+
+## Generate streaming data at your desired rate
+
+    generated_df = (
+         spark.readStream
+            .format("rate")
+            .option("numPartitions", 100)
+            .option("rowsPerSecond", 10 * 1000)
+            .load()
+            .selectExpr(
+              "md5( CAST (value AS STRING) ) as md5"
+              ,"value"
+              ,"value%1000000 as hash"
+            )
+    )
+     
+    #display(generated_df)
+
+## Parameters / Variables (Feel free to change as per your needs)
+
+    target_table_name = "to_be_merged_into_table"
+    check_point_location = f"/tmp/delta/{target_table_name}/_checkpoints/"
+    join_column_name ="hash"
+
+## Create an Empty Delta table so data could be merged into it
+
+    spark.sql(f"""  DROP TABLE IF EXISTS {target_table_name};""")
+    (  
+      generated_df.writeStream
+      .format("delta")
+      .outputMode("append").trigger(once=True)
+      .option("checkpointLocation", check_point_location)
+      .toTable(target_table_name)
+    )
+
+Check if data is populated
+
+    display(spark.read.table(target_table_name))
+
+## A user-defined function which does the data processing, Merge & Optimize
+
+    def make_changes_using_the_micro_batch(microBatchOutputDF, batchId: int):
+        print(f"Processing batchId: {batchId}")
+        microBatchOutputDF.createOrReplaceTempView("updates")
+        spark_session_for_this_micro_batch = microBatchOutputDF._jdf.sparkSession()
+        spark_session_for_this_micro_batch.sql(f"""
+          SELECT * 
+          FROM (
+            select *
+              ,rank() over(partition by {join_column_name} order by value desc) as dedupe
+            from updates
+            )
+          WHERE 
+              dedupe =1 
+       """).drop("dedupe").createOrReplaceTempView("updates_which_need_to_be_merged")
+        spark_session_for_this_micro_batch.sql(f"""
+        MERGE INTO {target_table_name} target
+        using updates_which_need_to_be_merged u
+        on u.{join_column_name} = target.{join_column_name} 
+        WHEN MATCHED THEN UPDATE SET *
+        WHEN NOT MATCHED THEN INSERT *
+        """)
+        optimize_every_n_batches = 20
+        #Define how often should optimize run? for example: at 50, it means that we will run the optimize command every 50 batches of stream data
+        if batchId % optimize_every_n_batches == 0:
+            optimize_and_zorder_table(table_name = target_table_name,  zorder_by_col_name = join_column_name)
+
+## Optimize/ Z-order a Delta table
+
+Why do we need to optimize a table? If we keep adding files to our Delta table and never optimize/sort them then over time we need to read a lot of files during merge time. Thus, optimizing the Delta table after every N merges is better. N needs to be decided on your latency requirements. You could start with N as 10 and change it as per your needs.
+
+The below code will run an optimize and zorder command on a given table that is being fed by a stream. Optimize commands can’t run in a silo because it will require us to pause and then resume the stream. Therefore, we need to call this function a part of the upsert function. This enables us to optimize before the next batch of streaming data comes through.
+
+    from timeit import default_timer as timer
+     
+     
+    def optimize_and_zorder_table(table_name: str, zorder_by_col_name: str) -> None:
+        """
+        Parameters:
+             table_name: str
+                     name of the table to be optimized
+             zorder_by_col_name: str
+                     comma separated list of columns to zorder by. example "col_a, col_b, col_c"
+        """
+        start = timer()
+        print(f"Met condition to optimize table {table_name}")
+        sql_query_optimize = f"OPTIMIZE  {table_name} ZORDER BY ({zorder_by_col_name})"
+        spark.sql(sql_query_optimize)
+        end = timer()
+        time_elapsed_seconds = end - start
+        print(
+            f"Successfully optimized table {table_name} . Total time elapsed: {time_elapsed_seconds} seconds"
+        )
+
+## Orchestrate from readStream -> Merge -> Optimize
+
+    (
+      generated_df
+     .writeStream.format('delta')
+     .trigger(processingTime='30 seconds')
+     .option("checkpointLocation", check_point_location)
+     .foreachBatch(make_changes_using_the_micro_batch)
+     .start()
+    )
+
+If you have reached so far, you should have an end-to-end pipeline working with streaming data and merging data into a Delta table.
+
+As the next step, let’s use the previous target table as our new streaming source.
+
+## Use the target table as a source for the next streaming pipeline
+
+Change data feed allows Databricks to track row-level changes between versions of a Delta table. When enabled on a Delta table, the runtime records change events for all the data written into the table. This includes the row data along with metadata indicating whether the specified row was inserted, deleted, or updated.
+
+Reference: [https://docs.databricks.com/delta/delta-change-data-feed.html#use-delta-lake-change-data-feed-on-databricks](https://docs.databricks.com/delta/delta-change-data-feed.html#use-delta-lake-change-data-feed-on-databricks)
+
+    spark.sql(f'''
+    ALTER TABLE {target_table_name} SET TBLPROPERTIES (delta.enableChangeDataFeed=true)
+    ''')
+
+## [Reading change data as a stream](https://docs.databricks.com/delta/delta-change-data-feed.html#read-changes-in-streaming-queries)
+
+    display(
+       spark.readStream.format("delta") 
+      .option("readChangeFeed", "true") 
+      .table(target_table_name)
+    )
+
+### Download this notebook
+[**Spark Streaming Using For Each Batch & Merge.html**](https://drive.google.com/file/d/1MWlHqy20j3g67uZhOLrjTDw1T8GioJZt/view?usp=sharing)
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs](https://canadiandataguy.com/).
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diff --git a/content/blog/footnotes.md b/content/blog/footnotes.md
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+++ b/content/blog/footnotes.md
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+---
+title: "Footnotes"
+date: 2022-10-12T04:06:14-05:00
+draft: true
+---
+
+## Footnotes
+
+Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website CanadianDataGuy.com for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.
\ No newline at end of file
diff --git a/content/blog/spark-stream-stream-join.md b/content/blog/spark-stream-stream-join.md
new file mode 100644
index 000000000..9ce56fa34
--- /dev/null
+++ b/content/blog/spark-stream-stream-join.md
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+---
+title: How to write your first Spark application with Stream-Stream Joins with working code.
+description: "Have you been waiting to try Streaming Joins but have been unable to take the plunge?
+In a single blog, we will teach you whatever needs to be understood, along with an end-to-end pipeline, which you can copy-paste and make your own."
+date: 2023-03-23T06:32:42.122Z
+preview: "Have you been waiting to try Streaming Joins but have been unable to take the plunge?
+
+In a single blog, we will teach you whatever needs to be understood, along with an end-to-end pipeline, which you can copy-paste and make your own."
+draft: false
+tags : ["checkpoint","streaming","spark streaming"]
+categories : ["streaming","databricks"]
+banner: "https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg"
+---
+
+## How to write your first Spark application with Stream-Stream Joins with working code.
+
+Have you been waiting to try Streaming but cannot take the plunge?
+
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+
+The steps involved:
+
+ 1. Create a fake dataset at scale
+ 2. Set a baseline using traditional SQL
+ 3. Define Temporary Streaming Views
+ 4. Inner Joins with optional Watermarking
+ 5. Left Joins with Watermarking
+ 6. The cold start edge case: withEventTimeOrder
+ 7. Cleanup
+
+![](https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg)
+
+## What is Stream-Stream Join?
+
+Stream-stream join is a widely used operation in stream processing where two or more data streams are joined based on some common attributes or keys. It is essential in several use cases, such as real-time analytics, fraud detection, and IoT data processing.
+
+### Concept of Stream-Stream Join
+
+Stream-stream join combines two or more streams based on a common attribute or key. The join operation is performed on an ongoing basis, with each new data item from the stream triggering a join operation. In stream-stream join, each data item in the stream is treated as an event, and it is matched with the corresponding event from the other stream based on matching criteria. This matching criterion could be a common attribute or key in both streams.
+
+When it comes to joining data streams, there are a few key challenges that must be addressed to ensure successful results. One of the biggest hurdles is the fact that, at any given moment, neither stream has a complete view of the dataset. This can make it difficult to find matches between inputs and generate accurate join results.
+
+To overcome this challenge, it’s important to buffer past input as a streaming state for both input streams. This allows for every future input to be matched with past input, which can help to generate more accurate join results. Additionally, this buffering process can help to automatically handle late or out-of-order data, which can be common in streaming environments.
+
+To further optimize the join process, it’s also important to use watermarks to limit the state. This can help to ensure that only the most relevant data is being used to generate join results, which can help to improve accuracy and reduce processing times.
+
+### Types of Stream-Stream Join
+
+Depending on the nature of the join and the matching criteria, there are several types of stream-stream join operations. Some of the popular types of stream-stream join are:
+
+**Inner Join**
+In inner join, only those events are returned where there is a match in both the input streams. This type of join is useful when combining the data from two streams with a common key or attribute.
+
+**Outer Join**
+In outer join, all events from both the input streams are included in the joined stream, whether or not there is a match between them. This type of join is useful when we need to combine data from two streams, and there may be missing or incomplete data in either stream.
+
+**Left Join**
+In left join, all events from the left input stream are included in the joined stream, and only the matching events from the right input stream are included. This type of join is useful when we need to combine data from two streams and keep all the data from the left stream, even if there is no matching data in the right stream.
+
+## 1. The Setup: Create a fake dataset at scale
+
+Most people do not have 2 streams just hanging around for one to experiment with Stream Steam Joins. Thus I used Faker to mock 2 different streams which we will use for this example.
+
+The name of the library being used is Faker and faker_vehicle to create Datasets.
+
+    !pip install faker_vehicle
+    !pip install faker
+
+Imports
+
+    from faker import Faker
+    from faker_vehicle import VehicleProvider
+    from pyspark.sql import functions as F
+    import uuid
+    from utils import logger
+
+Parameters
+
+    # define schema name and where should the table be stored
+    schema_name = “test_streaming_joins”
+    schema_storage_location = “/tmp/CHOOSE_A_PERMANENT_LOCATION/”
+
+**Create the Target Schema/Database**
+Create a Schema and set location. This way, all tables would inherit the base location.
+
+    create_schema_sql = f”””
+     CREATE SCHEMA IF NOT EXISTS {schema_name}
+     COMMENT ‘This is {schema_name} schema’
+     LOCATION ‘{schema_storage_location}’
+     WITH DBPROPERTIES ( Owner=’Jitesh’);
+     “””
+    print(f”create_schema_sql: {create_schema_sql}”)
+    spark.sql(create_schema_sql)
+
+Use Faker to define functions to help generate fake column values
+
+    fake = Faker()
+    fake.add_provider(VehicleProvider)
+
+    event_id = F.udf(lambda: str(uuid.uuid4()))
+    vehicle_year_make_model = F.udf(fake.vehicle_year_make_model)
+    vehicle_year_make_model_cat = F.udf(fake.vehicle_year_make_model_cat)
+    vehicle_make_model = F.udf(fake.vehicle_make_model)
+    vehicle_make = F.udf(fake.vehicle_make)
+    vehicle_model = F.udf(fake.vehicle_model)
+    vehicle_year = F.udf(fake.vehicle_year)
+    vehicle_category = F.udf(fake.vehicle_category)
+    vehicle_object = F.udf(fake.vehicle_object)
+
+    latitude = F.udf(fake.latitude)
+    longitude = F.udf(fake.longitude)
+    location_on_land = F.udf(fake.location_on_land)
+    local_latlng = F.udf(fake.local_latlng)
+    zipcode = F.udf(fake.zipcode)
+
+Generate Streaming source data at your desired rate
+
+    def generated_vehicle_and_geo_df (rowsPerSecond:int , numPartitions :int ):
+        return (
+            spark.readStream.format("rate")
+            .option("numPartitions", numPartitions)
+            .option("rowsPerSecond", rowsPerSecond)
+            .load()
+            .withColumn("event_id", event_id())
+            .withColumn("vehicle_year_make_model", vehicle_year_make_model())
+            .withColumn("vehicle_year_make_model_cat", vehicle_year_make_model_cat())
+            .withColumn("vehicle_make_model", vehicle_make_model())
+            .withColumn("vehicle_make", vehicle_make())
+            .withColumn("vehicle_year", vehicle_year())
+            .withColumn("vehicle_category", vehicle_category())
+            .withColumn("vehicle_object", vehicle_object())
+            .withColumn("latitude", latitude())
+            .withColumn("longitude", longitude())
+            .withColumn("location_on_land", location_on_land())
+            .withColumn("local_latlng", local_latlng())
+            .withColumn("zipcode", zipcode())
+            )
+    
+    # You can uncomment the below display command to check if the code in this cell works
+    #display(generated_vehicle_and_geo_df)
+
+    # You can uncomment the below display command to check if the code in this cell works
+    #display(generated_vehicle_and_geo_df)
+
+Now let's generate the base source table and let’s call it Vehicle_Geo
+
+    table_name_vehicle_geo= "vehicle_geo"
+    def stream_write_to_vehicle_geo_table(rowsPerSecond: int = 1000, numPartitions: int = 10):
+        
+        (
+            generated_vehicle_and_geo_df(rowsPerSecond, numPartitions)
+                .writeStream
+                .queryName(f"write_to_delta_table: {table_name_vehicle_geo}")
+                .option("checkpointLocation", f"{schema_storage_location}/{table_name_vehicle_geo}/_checkpoint")
+                .format("delta")
+                .toTable(f"{schema_name}.{table_name_vehicle_geo}")
+        )
+    stream_write_to_vehicle_geo_table(rowsPerSecond = 1000, numPartitions = 10)
+
+Let the above code run for a few iterations, and you can play with rowsPerSecond and numPartitions to control how much data you would like to generate. Once you have generated enough data, kill the above stream and get a base line for row count.
+
+    spark.read.table(f"{schema_name}.{table_name_vehicle_geo}").count()
+
+    display(
+        spark.sql(f"""
+        SELECT * 
+        FROM {schema_name}.{table_name_vehicle_geo}
+    """)
+    )
+
+Let’s also get a min & max of the timestamp column as we would be leveraging it for watermarking.
+
+    display(
+        spark.sql(f"""
+        SELECT 
+             min(timestamp)
+            ,max(timestamp)
+            ,current_timestamp()
+        FROM {schema_name}.{table_name_vehicle_geo}
+    """)
+    )
+
+### Next, we will break this Delta table into 2 different tables
+
+Because for Stream-Stream Joins we need 2 different streams. We will use Delta To Delta Streaming here to create these tables.
+
+ 1. **a ) Table: Vehicle**
+```
+table_name_vehicle = "vehicle"
+vehicle_df = (
+    spark.readStream.format("delta")
+    .option("maxFilesPerTrigger", "100")
+    .table(f"{schema_name}.vehicle_geo")
+    .selectExpr(
+        "event_id",
+        "timestamp as vehicle_timestamp",
+        "vehicle_year_make_model",
+        "vehicle_year_make_model_cat",
+        "vehicle_make_model",
+        "vehicle_make",
+        "vehicle_year",
+        "vehicle_category",
+        "vehicle_object",
+    )
+)
+
+
+def stream_write_to_vehicle_table():
+
+    (
+        vehicle_df.writeStream
+        # .trigger(availableNow=True)
+        .queryName(f"write_to_delta_table: {table_name_vehicle}")
+        .option(
+            "checkpointLocation",
+            f"{schema_storage_location}/{table_name_vehicle}/_checkpoint",
+        )
+        .format("delta")
+        .toTable(f"{schema_name}.{table_name_vehicle}")
+    )
+
+
+stream_write_to_vehicle_table()
+
+```
+
+ 1. **b) Table: Geo**
+
+We have added a filter when we write to this table. This would be useful when we emulate the left join scenario. Filter: where("value like '1%' ")
+
+    geo_df = (
+        spark.readStream.format("delta").option("maxFilesPerTrigger","100").table(f"{schema_name}.vehicle_geo")
+            .selectExpr(
+                "event_id"
+                ,"value"
+                ,"timestamp as geo_timestamp"
+                ,"latitude"
+                ,"longitude"
+                ,"location_on_land"
+                ,"local_latlng"
+                ,"cast( zipcode as integer) as zipcode"
+            ).where("value like '1%' ") 
+        )
+    #geo_df.printSchema()
+    #display(geo_df)
+    
+    table_name_geo = "geo"
+    def stream_write_to_geo_table():
+        
+        (   geo_df
+            .writeStream
+            #.trigger(availableNow=True)
+            .queryName(f"write_to_delta_table: {table_name_geo}")
+            .option("checkpointLocation", f"{schema_storage_location}/{table_name_geo}/_checkpoint")
+            .format("delta")
+            .toTable(f"{schema_name}.{table_name_geo}")
+        )
+        
+    stream_write_to_geo_table()    
+
+## 2. Set a baseline using traditional SQL
+
+Before we do the actual streaming joins. Let’s do a regular join and figure out the expected row count.
+
+**Get row count from Inner Join**
+
+    sql_query_batch_inner_join = f'''
+            SELECT count(vehicle.event_id) as row_count_for_inner_join
+            FROM {schema_name}.{table_name_vehicle} vehicle
+            JOIN {schema_name}.{table_name_geo} geo
+            ON vehicle.event_id = geo.event_id
+        AND vehicle_timestamp >= geo_timestamp  - INTERVAL 5 MINUTES        
+            '''
+    print(f''' Run SQL Query: 
+              {sql_query_batch_inner_join}       
+           ''')
+    display( spark.sql(sql_query_batch_inner_join) )
+
+**Get row count from Inner Join**
+
+    sql_query_batch_left_join = f'''
+            SELECT count(vehicle.event_id) as row_count_for_left_join
+            FROM {schema_name}.{table_name_vehicle} vehicle
+            LEFT JOIN {schema_name}.{table_name_geo} geo
+            ON vehicle.event_id = geo.event_id
+                -- Assume there is a business logic that timestamp cannot be more than 15 minutes off
+        AND vehicle_timestamp >= geo_timestamp  - INTERVAL 5 MINUTES
+            '''
+    print(f''' Run SQL Query: 
+              {sql_query_batch_left_join}       
+           ''')
+    display( spark.sql(sql_query_batch_left_join) )
+
+## Summary so far:
+
+ 1. We created a Source Delta Table: vehicle_geo
+
+ 2. We took the previous table and divided its column into two tables: Vehicle and Geo
+
+ 3. Vehicle row count matches with vehicle_geo, and it has a subset of those columns
+
+ 4. The Geo row count is lesser than Vehicle because we added a filter when we wrote to the Geo table
+
+ 5. We ran 2 SQL to identify what the row count should be after we do stream-stream join
+
+## 3. Define Temporary Streaming Views
+
+Some people prefer to write the logic in SQL. Thus, we are creating streaming views which could be manipulated with SQL. The below code block will help create a view and set a watermark on the stream.
+
+    def stream_from_delta_and_create_view (schema_name: str, table_name:str, column_to_watermark_on:str, how_late_can_the_data_be: str = "2 minutes" , maxFilesPerTrigger: int = 100):
+        view_name = f"_streaming_vw_{schema_name}_{table_name}"
+        print(f"Table {schema_name}.{table_name} is now streaming under a temporoary view called {view_name}")
+        (
+            spark.readStream.format("delta")
+            .option("maxFilesPerTrigger", f"{maxFilesPerTrigger}")
+            .option("withEventTimeOrder", "true")
+            .table(f"{schema_name}.{table_name}")
+            .withWatermark(f"{column_to_watermark_on}",how_late_can_the_data_be)
+            .createOrReplaceTempView(view_name)
+        )
+    
+
+**3. a Create Vehicle Stream**
+
+Let’s create a Vehicle Stream and set its watermark as 1mins
+
+    stream_from_delta_and_create_view(schema_name =schema_name, table_name = 'vehicle', column_to_watermark_on ="vehicle_timestamp", how_late_can_the_data_be = "1 minutes" )
+
+Let’s visualize the stream.
+
+    display(
+        spark.sql(f'''
+            SELECT *
+            FROM _streaming_vw_test_streaming_joins_vehicle
+        ''')
+    )
+
+You can also do an aggregation on the stream. It’s out of the scope of this blog, but I wanted to show you how you can do it
+
+    display(
+        spark.sql(f'''
+            SELECT 
+                vehicle_make
+                ,count(1) as row_count
+            FROM _streaming_vw_test_streaming_joins_vehicle
+            GROUP BY vehicle_make
+            ORDER BY vehicle_make
+        ''')
+    )
+
+**3. b Create Geo Stream**
+
+Let’s create a Geo Stream and set its watermark as 2 mins
+
+    stream_from_delta_and_create_view(schema_name =schema_name, table_name = 'geo', column_to_watermark_on ="geo_timestamp", how_late_can_the_data_be = "2 minutes" )
+
+Have a look at what the data looks like
+
+    display(
+        spark.sql(f'''
+            SELECT *
+            FROM _streaming_vw_test_streaming_joins_geo
+        ''')
+    )
+
+## 4. Inner Joins with optional Watermarking
+
+While inner joins on any kind of columns and with any kind of conditions are possible in streaming environments, it’s important to be aware of the potential for unbounded state growth. As new input arrives, it can potentially match with any input from the past, leading to a rapidly increasing streaming state size.
+
+To avoid this issue, it’s essential to define additional join conditions that prevent indefinitely old inputs from matching with future inputs. By doing so, it’s possible to clear old inputs from the state, which can help to prevent unbounded state growth and ensure more efficient processing.
+
+There are a variety of techniques that can be used to define these additional join conditions. For example, you might limit the scope of the join by only matching on a subset of columns, or you might set a time-based constraint that prevents old inputs from being considered after a certain period of time has elapsed.
+
+Ultimately, the key to managing streaming state size and ensuring efficient join processing is to consider the unique requirements of your specific use case carefully and to leverage the right techniques and tools to optimize your join conditions accordingly. **Although watermarking could be optional, I would highly recommend you set a watermark on both streams.**
+
+    sql_for_stream_stream_inner_join = f"""
+        SELECT 
+            vehicle.*
+            ,geo.latitude
+            ,geo.longitude
+            ,geo.zipcode
+        FROM _streaming_vw_test_streaming_joins_vehicle vehicle
+        JOIN _streaming_vw_test_streaming_joins_geo geo
+        ON vehicle.event_id = geo.event_id
+        -- Assume there is a business logic that timestamp cannot be more than X minutes off
+        AND vehicle_timestamp >= geo_timestamp - INTERVAL 5 minutes
+    """
+    #display(spark.sql(sql_for_stream_stream_inner_join))
+
+    table_name_stream_stream_innner_join ='stream_stream_innner_join'
+    
+    (   spark.sql(sql_for_inner_join)
+        .writeStream
+        #.trigger(availableNow=True)
+            .queryName(f"write_to_delta_table: {table_name_stream_stream_innner_join}")
+            .option("checkpointLocation", f"{schema_storage_location}/{table_name_stream_stream_innner_join}/_checkpoint")
+            .format("delta")
+            .toTable(f"{schema_name}.{table_name_stream_stream_innner_join}")
+    )
+
+If the stream has finished then in the next step. You should find that the row count should match up with the regular batch SQL Job
+
+    spark.read.table(f"{schema_name}.{table_name_stream_stream_innner_join}").count()
+
+### How was the watermark computed in this scenario?
+
+When we defined streaming views for Vehicle and Geo, we set them as 1 min and 2 min, respectively.
+
+If you look at the join condition we mentioned :
+
+    AND vehicle_timestamp >= geo_timestamp - INTERVAL 5 minutes
+
+5 min + 2 min = 7 min.
+
+Spark Streaming would automatically calculate this 7 min number and the state would be cleared after that.
+
+## 5. Left Joins with Watermarking
+
+While the watermark + event-time constraints is optional for inner joins, for outer joins they must be specified. This is because for generating the NULL results in outer join, the engine must know when an input row is not going to match with anything in future. Hence, the watermark + event-time constraints must be specified for generating correct results.
+
+### 5.a How Left Joins works differently than an Inner Join
+
+One important factor is that the outer NULL results will be generated with a delay that depends on the specified watermark delay and the time range condition. This delay is necessary to ensure that there were no matches, and that there will be no matches in the future.
+
+In the current implementation of the micro-batch engine, watermarks are advanced at the end of each micro-batch, and the next micro-batch uses the updated watermark to clean up the state and output outer results. However, this means that the generation of outer results may be delayed if there is no new data being received in the stream. If either of the two input streams being joined does not receive data for a while, the outer output (in both left and right cases) may be delayed.
+
+    sql_for_stream_stream_left_join = f"""
+        SELECT 
+            vehicle.*
+            ,geo.latitude
+            ,geo.longitude
+            ,geo.zipcode
+        FROM _streaming_vw_test_streaming_joins_vehicle vehicle
+        LEFT JOIN _streaming_vw_test_streaming_joins_geo geo
+        ON vehicle.event_id = geo.event_id
+        AND vehicle_timestamp >= geo_timestamp  - INTERVAL 5 MINUTES
+    """
+    #display(spark.sql(sql_for_stream_stream_left_join))
+    
+    table_name_stream_stream_left_join ='stream_stream_left_join'
+    
+    (   spark.sql(sql_for_stream_stream_left_join)
+        .writeStream
+        #.trigger(availableNow=True)
+            .queryName(f"write_to_delta_table: {table_name_stream_stream_left_join}")
+            .option("checkpointLocation", f"{schema_storage_location}/{table_name_stream_stream_left_join}/_checkpoint")
+            .format("delta")
+            .toTable(f"{schema_name}.{table_name_stream_stream_left_join}")
+    )
+
+If the stream has finished, then in the next step. You should find that the row count should match up with the regular batch SQL Job.
+
+    spark.read.table(f"{schema_name}.{table_name_stream_stream_left_join}").count()
+>  **You will find that some records that could not match are not being released, which is expected. **The outer NULL results will be generated with a delay that depends on the specified watermark delay and the time range condition. This is because the engine has to wait for that long to ensure there were no matches and there will be no more matches in future.
+>  ****Watermark will advance once new data is pushed to it****
+
+Thus let’s generate some more fate data to the base table: **vehicle_geo. **This time we are sending a much lower volume of 10 records per second. Let the below command run for at least one batch and then kill it.
+
+    stream_write_to_vehicle_geo_table(rowsPerSecond = 10, numPartitions = 10)
+
+### 5. b What to observe:
+
+ 1. Soon you should see the watermark moves ahead and the number of records in ‘Aggregation State’ goes down.
+
+ 2. If you click on the running stream and click the raw data tab and look for “watermark”. You will see it has advanced
+
+ 3. Once 0 records per second are being processed, that means your stream has caught up, and now your row count should match up with the traditional SQL left join
+
+    spark.read.table(f"{schema_name}.{table_name_stream_stream_left_join}").count()
+
+## 6. The cold start edge case: withEventTimeOrder
+>  “When using a Delta table as a stream source, the query first processes all of the data present in the table. The Delta table at this version is called the initial snapshot. By default, the Delta table’s data files are processed based on which file was last modified. However, the last modification time does not necessarily represent the record event time order.
+>  In a stateful streaming query with a defined watermark, processing files by modification time can result in records being processed in the wrong order. This could lead to records dropping as late events by the watermark.
+>  You can avoid the data drop issue by enabling the following option:
+>  withEventTimeOrder: Whether the initial snapshot should be processed with event time order.
+
+In our scenario, I pushed this inside Step 3 when we created the temporary streaming views.
+
+    spark.readStream.format("delta")
+            .option("maxFilesPerTrigger", f"{maxFilesPerTrigger}")
+            .option("withEventTimeOrder", "true")
+            .table(f"{schema_name}.{table_name}")
+
+## 7. Cleanup
+
+Drop all tables in the database and delete all the checkpoints
+
+    spark.sql(
+        f"""
+        drop schema if exists {schema_name} CASCADE
+    """
+    )
+    
+    
+    dbutils.fs.rm(schema_storage_location, True)
+
+If you have reached so far, you now have a working pipeline and a solid example which you can use going forward.
+
+## Download the code
+
+[https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/spark_stream_stream_join.py](https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/spark_stream_stream_join.py)
+
+### References:
+
+ 1. [https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#stream-stream-joins](https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#stream-stream-joins)
+
+ 2. [https://youtu.be/hyZU_bw1-ow?t=1181](https://youtu.be/hyZU_bw1-ow?t=1181)
+
+ 3. [https://www.youtube.com/watch?v=1cBDGsSbwRA&t=1500s](https://www.youtube.com/watch?v=1cBDGsSbwRA&t=1500s)
+
+ 4. [https://www.databricks.com/blog/2022/08/22/feature-deep-dive-watermarking-apache-spark-structured-streaming.html](https://www.databricks.com/blog/2022/08/22/feature-deep-dive-watermarking-apache-spark-structured-streaming.html)
+
+ 5. [https://docs.databricks.com/structured-streaming/delta-lake.html#process-initial-snapshot-without-data-being-dropped](https://docs.databricks.com/structured-streaming/delta-lake.html#process-initial-snapshot-without-data-being-dropped)
+
+
+## Footnotes
+
+If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my [other blogs and follow](https://canadiandataguy.medium.com/).
\ No newline at end of file
diff --git a/content/blog/youtube.md b/content/blog/youtube.md
new file mode 100644
index 000000000..60463df5e
--- /dev/null
+++ b/content/blog/youtube.md
@@ -0,0 +1,15 @@
++++
+title = "Youtube"
+tags = ["coaching","youtube"]
+categories = ["coaching"]
+banner = "https://images.unsplash.com/photo-1660675588067-13ecd2c19de4?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxzZWFyY2h8OXx8aW50ZXJ2aWV3JTIweW91dHViZXxlbnwwfHwwfHw%3D&auto=format&fit=crop&w=500&q=60"
++++
+{{< youtube id="f7v_1UmkAoM"  title="sfs">}}
+
+------------------------------
+---------------------------------
+
+------------------------------
+---------------------------------
+
+{{< youtube id="JfDGYKvRfWw" >}}
diff --git a/content/contact.md b/content/contact.md
new file mode 100644
index 000000000..d0a8bc533
--- /dev/null
+++ b/content/contact.md
@@ -0,0 +1,8 @@
++++
+title = "Contact"
+id = "contact"
+
++++
+
+## Do you need Data Expertise?
+Does your company have a project that requires data engineering, data architecture or streaming expertise? Don't hesitate to email us. We are happy to answer any questions or requests you may have. We can help with one-off projects or ongoing efforts to advance the shift to a more data-driven culture. Empower leaders and teams better to use data as a tool in the decision-making process. 
diff --git a/data/aboutSection.yml b/data/aboutSection.yml
new file mode 100644
index 000000000..4912eabe2
--- /dev/null
+++ b/data/aboutSection.yml
@@ -0,0 +1,14 @@
+---
+enable: true
+topTitle: About
+title: >
+  ## About me 
+  
+  A girl who loves to Code and talk about Data
+content: >
+  I'm a self-taught developer who enjoy the ongoing pursuit of knowledge and skills outside of the formal education system. I'm interested in collaborating with people from different background and experience in order to achieve organizational goals. Besides programming, I love cooking, gardening, hiking, and blogging.
+# button1Name: Skills
+# button2Name: Resume
+# button1Target: skill
+# button2Target: resume
+image: img/chicago.png
\ No newline at end of file
diff --git a/data/carousel/coaching.yaml b/data/carousel/coaching.yaml
new file mode 100644
index 000000000..bc2868532
--- /dev/null
+++ b/data/carousel/coaching.yaml
@@ -0,0 +1,8 @@
+weight: 2
+title: "Crack the next Data Interview"
+description: 
+  <ul class="list-style-none">
+    <li>Please check out my blogs, YouTube, and advice. If my writing speaks to you and you're looking for personalized guidance. Let's connect. </li>
+  </ul>
+image: "img/carousel/template-easy-code.png"
+href: "/blog/1-on-1-coaching"
\ No newline at end of file
diff --git a/data/carousel/consulting.yaml b/data/carousel/consulting.yaml
new file mode 100644
index 000000000..280fb4c57
--- /dev/null
+++ b/data/carousel/consulting.yaml
@@ -0,0 +1,9 @@
+weight: 1
+title: "We Solve Data Problems"
+description: 
+  <ul class="list-style-none">
+    <li> With over a decade of experience designing data engineering and analytics solutions for startups to large enterprises. </li>
+  </ul>
+
+image: "img/carousel/template-easy-code.png"
+href: "/contact"
\ No newline at end of file
diff --git a/data/hero.yml b/data/hero.yml
new file mode 100644
index 000000000..ce86dfe54
--- /dev/null
+++ b/data/hero.yml
@@ -0,0 +1,29 @@
+---
+enable: true
+topTitle: 
+content: >
+  # Hello, I'm **Soni**
+  
+  #### Real Time Streaming Specialist | Data Architect | Data, Automation And Analytics| Tech Writer
+
+
+  I am an end-to-end Full Stack Data Developer who can set up infrastructures, design the architecture, build data pipelines, and productionalize with DevOps. I have spent six years in AWS & Amazon as a Data Architect/Engineer and have a proven record of taking multi-petabyte workloads to production while ensuring minimum operational burden.  
+  
+  
+  I also have hands-on experience in Streaming and Batch Analytics, including real-time applications. Having worked remotely for around 6+ years, I’ve learned to avoid the pitfalls of distributed team communication. 
+  
+  
+  My goal is to democratize knowledge and help remove the barrier of the hype around Big Data. I write on topics such as real-time data streaming, data architecture, salary negotiation, financial literacy, and more.
+  
+  
+  In my free time, I love to travel so much so that in April 2022, I finished my 12-month-long road trip across Canada. Alright, now click on a few buttons and scroll through the pages to learn more about me and how I can help you. See you on the other side!
+
+
+
+# button1Name: My Blog
+# button1URL: blog
+# button2Name: Download Resume
+# button2URL: https://resume-anhcodes.firebaseapp.com/
+image: img/avatar.png
+# videoThumb: images/hero/popup-thumb.png
+# videoURL: images/hero/signatureupdate.gif
diff --git a/data/resumeSection.yml b/data/resumeSection.yml
new file mode 100644
index 000000000..25b101f6c
--- /dev/null
+++ b/data/resumeSection.yml
@@ -0,0 +1,105 @@
+---
+enable: true
+topTitle: 
+title: >
+  ## 
+  
+# button1Name: Contact
+tab1Name: Experiences
+tab1Target: experience
+tab2Name: Education & Certifications
+tab2Target: education
+
+education:
+  - content: >
+      #### Specialist Data Architect | Databricks
+
+      *  Work on solving Streaming & scaling challenges with Big Data across
+      customers
+      
+      * Author blogs with best practices and solution accelerators
+      
+      * Enhanced productivity for Audantic by reducing their line of code by
+      66% and reduced their development time of Lake House by 86%.
+      
+      * Significantly reduced carbon footprint for a customer and co-authored
+      a blog post detailing design and implementation.
+
+      * Work with strategic customers to solve challenging technical
+      problems, provide business value, guide product roadmap, and ensure
+      success on the Databricks platform.
+
+      * Collaborate with teams at large on strategic programs to scale our
+      organization, design & build internal accelerators, and share best
+      practices.
+
+      * Hire and mentor new talent
+    time: 2021-2023
+  - content: >
+      #### Data Engineer/ Data Architect| Amazon/ AWS
+
+      * Built real time data processing platform and CI/CD pipelines with ACID properties while ensuring operational excellence
+      
+      * Craft and support 50+ datasets by processing multiple TBs of data
+      per day serving 600+ Analysts and Economists
+      
+      * Responsible for building GDPR & CCPA compliant data lake
+      
+      * Strategize customer cloud adoption journey and leverage the
+      power of the cloud to run big data analytics at scale
+      
+      * Interact with customers and identify their pain points across the
+      system and drive projects to remove them
+      
+      * Work with customers as a trusted advisor to drive visibility to best
+      practices, access to internal resources, expertise on the very latest
+      features, and accountability for the AWS platform to help them
+      achieve their business goals and objectives
+      
+      * Migrated tables with huge volumes (100-350 TB) from Oracle to
+      Redshift, by using massively parallel processing architecture which
+      improved the availability of critical datasets by 96%
+      
+      * Interacted with appropriate departments to develop and
+      accomplish a road map to ensure that systems run smoothly in
+      projected peak traffic.
+    time: 2015-2021
+  - content: >
+      #### ETL & Reporting Developer | ZS Associates
+        * Designed and developed a multi-country (23) data warehouse by
+        transforming domain knowledge acquired from the client into a
+        technical artifact.
+        * Solely responsible for data warehouse performance tuning and
+        recognized for quickly diagnosing system issues
+
+    time: 2014-2015
+  - content: >
+      #### Business Intelligence Reporting | Tata Consultancy Services
+
+      * Developed Key Performance Indicators for business reports using
+      SAP Business Objects to drive analytics
+      
+      * Awarded with the LIREL honor (Leadership, Integrity, Respect for
+      individual, Excellence, Learning & sharing), the core 5 values of
+      Tata Consultancy Services
+    time: 2012-2014
+experience:
+
+  - content: >
+      #### Master of Computing Science in Big Data
+
+      **Simon Fraser University, Canada**
+    time: Aug 2015- May 2017
+  - content: >
+      #### Databricks Developer
+    time: 2022
+  - content: >
+      #### Azure Fundamentals
+    time: 2021   
+  - content: >
+      #### AWS Developer
+    time: 2019
+  - content: >
+      #### AWS Solutions Architect
+    time: 2018                    
+# buttonTarget: resume
\ No newline at end of file
diff --git a/data/skillSection.yml b/data/skillSection.yml
new file mode 100644
index 000000000..098ddc687
--- /dev/null
+++ b/data/skillSection.yml
@@ -0,0 +1,30 @@
+---
+enable: true
+topTitle: 
+content: >
+  ## What is my expertise?
+
+
+image: img/skills-small.jpg
+
+skill:
+  - title: Spark, Pyspark
+    percent: 90
+  - title: Real Time Data Streaming (Delta, Kafka, Kinesis, Event Hub) 
+    percent: 90
+  - title: SQL, Python
+    percent: 90
+  - title: Databricks, Delta Live Tables
+    percent: 85
+  - title: Database- Redshift, Snwoflake, Big Query, Oracle & Postgres
+    percent: 80
+  - title: Modern Data Stack (Data Build Tool, Dagster & Metabase)
+    percent: 70
+  - title: Continuous Integration & Continuous Deployment ( Github Actions, Azure DevOps )
+    percent: 70
+  - title: Data Vizualization ( Tableau, Power Bi, Metabase )
+    percent: 70
+  - title: No-SQL Databases ( Dynamo, Cosmos & Mongo)
+    percent: 60    
+  - title: Terraform & CDK
+    percent: 50
\ No newline at end of file
diff --git a/data/testimonials/1.0ala.yaml b/data/testimonials/1.0ala.yaml
new file mode 100644
index 000000000..19464a58b
--- /dev/null
+++ b/data/testimonials/1.0ala.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh has played a crucial part in the success of this project. His enthusiasm, dedication, communication, ownership, and technical abilities are simply mind blowing. I don’t believe that I ever worked with someone for a period as short as 10 days that impressed me as much as Jitesh did. A true star of the show."
+name: "Ala Qabaja"
+position: "Senior Data Engineer, Atlassian"
+avatar: "https://media.licdn.com/dms/image/C4E03AQFhLH6uLyhESg/profile-displayphoto-shrink_400_400/0/1579500033911?e=1690416000&v=beta&t=hVUYovnP5vEnav3gzBvUibZkVlpu-lNA7vDBxNF9MDY"
\ No newline at end of file
diff --git a/data/testimonials/1.sunil.yaml b/data/testimonials/1.sunil.yaml
new file mode 100644
index 000000000..d7cbe3bb8
--- /dev/null
+++ b/data/testimonials/1.sunil.yaml
@@ -0,0 +1,4 @@
+text: "I have had the pleasure of working with Jitesh for 3+ years at Amazon. He is always curious to learn new technologies and implement them when the situation and use case apply. He is an expert at big data technologies and is always looking for ways to build simple solutions to seemingly complex problems. He has built and scaled pipelines that handle petabytes of data and his solutions have seldom resulted in operational issues post-deployment. I am hopeful we will work again!"
+name: "Sunil Muktibodh"
+position: "Senior Manager, Amazon"
+avatar: "https://media.licdn.com/dms/image/C5603AQEQSY-C4IgOhA/profile-displayphoto-shrink_200_200/0/1517430289963?e=1684972800&v=beta&t=LhYQ0H9mikP-YNpDMRHIOUwcxGgt3Gv1Ye_C_A_3lXc"
\ No newline at end of file
diff --git a/data/testimonials/2.1mike.yaml b/data/testimonials/2.1mike.yaml
new file mode 100644
index 000000000..5ebfa555b
--- /dev/null
+++ b/data/testimonials/2.1mike.yaml
@@ -0,0 +1,4 @@
+text: "100% agree.  Not only a skilled technical resource, but an absolute pleasure to work with.  Just we for-warned, any future support we need from you guys, we’ll be asking for him by name!! "
+name: "Mike Henry"
+position: "Manager, Data Analytics at ARC Resources Ltd."
+avatar: "https://media.licdn.com/dms/image/C4E03AQHTQ3iTjxaByg/profile-displayphoto-shrink_200_200/0/1516317757063?e=1684972800&v=beta&t=nPQo7d9GZuX6ZGi-BLgQroXynagu7FNRXXUwKGMf0xk"
\ No newline at end of file
diff --git a/data/testimonials/2.Jarriett.yaml b/data/testimonials/2.Jarriett.yaml
new file mode 100644
index 000000000..a8784bcd5
--- /dev/null
+++ b/data/testimonials/2.Jarriett.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh was incredible! His sole goal is to help you improve and he goes above and beyond to achieve that. In addition to his depth and breadth of knowledge, his commitment to the student sets him apart from other coaches. I highly recommend a session with Jitesh."
+name: "Jarriett"
+position: "Staff Data Engineer"
+avatar: "https://media.licdn.com/dms/image/C4D03AQEfiVXe1LPJkQ/profile-displayphoto-shrink_100_100/0/1636400968535?e=1684972800&v=beta&t=yg2wcmlDGw0E8qrtoocKce5tB-h1N5tBBOtsOqxML2o"
\ No newline at end of file
diff --git a/data/testimonials/2.joel.yaml b/data/testimonials/2.joel.yaml
new file mode 100644
index 000000000..8fa6d4674
--- /dev/null
+++ b/data/testimonials/2.joel.yaml
@@ -0,0 +1,7 @@
+text: "Jitesh was a pleasure to work with on our lakehouse build out project. He excelled at understanding our business logic and requirements, clarifying any ambiguities, and then translating them into code. The technical solutions he created were effective, clean, and easily maintainable. Furthermore, he was receptive to feedback and was open to making adjustments to fit his implementations into our standards and practices. Beyond just the tasks he worked directly on, Jitesh was an effective communicator -- able to proactively provide helpful advice on other items and answer questions about the many technologies he is knowledgeable on.
+
+In conclusion, I think Jitesh reflects very well on Databricks and I was glad to have the chance to work with him and would definitely do so again in the future.
+"
+name: "Joel Lowery"
+position: "Chief Information Officer, Audnatic"
+avatar: "https://media.licdn.com/dms/image/C5603AQH-WPWnXrluhw/profile-displayphoto-shrink_200_200/0/1587956665123?e=1684972800&v=beta&t=cAh9AqO3Cwmg9gOsNf8ZRtbH49YO396HlDEC5c3DbVI"
\ No newline at end of file
diff --git a/data/testimonials/3.billy.yaml b/data/testimonials/3.billy.yaml
new file mode 100644
index 000000000..46c576287
--- /dev/null
+++ b/data/testimonials/3.billy.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh gave me an excellent overview of what to expect during the final round of Data Engineer interviews at Amazon as well as how best to prepare for them. He absolutely exceeded my expectations for today's session. Highly recommended!"
+name: "Billy"
+position: "Senior Data Engineer"
+avatar: "https://media.licdn.com/dms/image/D5603AQGYq0LgfMXhTw/profile-displayphoto-shrink_200_200/0/1667102056171?e=1684972800&v=beta&t=g6-sG_pEHzMYY-nllqHZRWt82WZBl7gwPqgD-61zJK0"
\ No newline at end of file
diff --git a/data/testimonials/4.lin.yaml b/data/testimonials/4.lin.yaml
new file mode 100644
index 000000000..2cdc0903d
--- /dev/null
+++ b/data/testimonials/4.lin.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh is awesome to work with! He is very knowledgeable and experienced with data engineering concepts, and internal Amazon processes. He has helped me dramatically. Would highly recommend his coaching sessions for anyone interested in a data role at Amazon."
+name: "Lin"
+position: "Senior Program Manager"
+avatar: "https://media.licdn.com/dms/image/C4E03AQFwWty5DOt2Vg/profile-displayphoto-shrink_200_200/0/1565608926475?e=1684972800&v=beta&t=pG746AZ7cfojSwMM7rURgujCon0ShRpNHTixMkFkGTs"
\ No newline at end of file
diff --git a/data/testimonials/5.blaine.yaml b/data/testimonials/5.blaine.yaml
new file mode 100644
index 000000000..306d700ed
--- /dev/null
+++ b/data/testimonials/5.blaine.yaml
@@ -0,0 +1,4 @@
+text: "This was my 3rd session with someone doing DE interviews & this was easily the best one. I liked the guidance to look into high level technical concepts without taking too much time digging into the details - that I can figure out offline on my own."
+name: "Blaine"
+position: "Senior Software Engineer"
+avatar: "https://media.licdn.com/dms/image/C5603AQHAT7VCvaDcKQ/profile-displayphoto-shrink_200_200/0/1520390103963?e=1684972800&v=beta&t=WEC_hvdW4CtwlKfFpPCBD2GxlyfnR9wpjsSZ-s33RRg"
\ No newline at end of file
diff --git a/data/testimonials/abdullah.yaml b/data/testimonials/abdullah.yaml
new file mode 100644
index 000000000..385810580
--- /dev/null
+++ b/data/testimonials/abdullah.yaml
@@ -0,0 +1,4 @@
+text: "My experience was good with Jitesh, Better than my expectations. It was like a coaching session, in which he guided well."
+name: "Abdullah"
+position: "Cloud & Data Engineer"
+avatar: "https://media.licdn.com/dms/image/D4D03AQEilP6Dqx0XUw/profile-displayphoto-shrink_200_200/0/1674746166561?e=1684972800&v=beta&t=qubr7vJhw9h4Ed9wb2PnvledzkPW02rcISrUZcBnHck"
\ No newline at end of file
diff --git a/data/testimonials/eugene.yaml b/data/testimonials/eugene.yaml
new file mode 100644
index 000000000..2ecd5b314
--- /dev/null
+++ b/data/testimonials/eugene.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh gave me specific recommendations on my career plan according to what is happening in the data engineering market. I've got detailed and honest answers to my questions. Very valuable session."
+name: "Eugene"
+position: "Data Engineer"
+avatar: "https://media.licdn.com/dms/image/D4E03AQEe1qgpQoXFTA/profile-displayphoto-shrink_200_200/0/1676730312052?e=1684972800&v=beta&t=oxh1GAgtpZvOw1DfVRhl3dyE_qkdhm_rrHuZSsWqP9Q"
\ No newline at end of file
diff --git a/data/testimonials/minu.yaml b/data/testimonials/minu.yaml
new file mode 100644
index 000000000..dbebc1bf1
--- /dev/null
+++ b/data/testimonials/minu.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh had been very helpful to guide me throughout the interview. He is very quick to respond and goes above and beyond to help. It would not have been possible for me to crack the interview without his guidance. I would highly recommend him."
+name: "Minu"
+position: "Data Engineer"
+avatar: "https://media.licdn.com/dms/image/D5603AQH35zfsFQKDtw/profile-displayphoto-shrink_200_200/0/1664473062733?e=1684972800&v=beta&t=MjN3LtwjWGHQ3a4aEyYdmVn8Ru2pZcr389lKE2aplrg"
diff --git a/data/testimonials/nikhil.yaml b/data/testimonials/nikhil.yaml
new file mode 100644
index 000000000..3e936d4ef
--- /dev/null
+++ b/data/testimonials/nikhil.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh was amazing. He has a no nonsense approach to things. He really helped in drafting a comprehensive prep plan for DE full time roles and explained it really well. Would definitely recommend him for anyone trying to get into DE roles."
+name: "Nikhil"
+position: "Data Engineer"
+avatar: "https://media.licdn.com/dms/image/C4E03AQFHByb1PkIrcQ/profile-displayphoto-shrink_200_200/0/1651741927202?e=1684972800&v=beta&t=dY6YBaFEULSpOHcN--dJzBpkVTYejAaEjMmQXy1AqtU"
\ No newline at end of file
diff --git a/data/testimonials/saeed.yaml b/data/testimonials/saeed.yaml
new file mode 100644
index 000000000..fb37e895a
--- /dev/null
+++ b/data/testimonials/saeed.yaml
@@ -0,0 +1,4 @@
+text: "This was my 4th session with Jitesh and he always keeps going above and beyond to make sure I need everything I need. With Jitesh's excellent guidance, I managed to pass the phone interview round and we're continuing to prepare for acing the final round. Keep up the great work Jitesh!"
+name: "Saeed"
+position: "Senior Data Engineer"
+avatar: "https://media.licdn.com/dms/image/C5603AQEqwKY0pUFMPw/profile-displayphoto-shrink_200_200/0/1600451468953?e=1684972800&v=beta&t=OrTtzZ5irDnI281Exkk9CYyyn8Mfg42biCxa2BqDlcc"
\ No newline at end of file
diff --git a/data/testimonials/venkata.yaml b/data/testimonials/venkata.yaml
new file mode 100644
index 000000000..07ac4dc70
--- /dev/null
+++ b/data/testimonials/venkata.yaml
@@ -0,0 +1,4 @@
+text: "Jitesh was extremely good at targeting the DOs and DON'Ts during the interview. His familiarity and broad exposure to systems design and database design concepts reflects the way he guides others in correct decision making during the design interviews. To add to his technical expertise and being up-to-date on the systems design areas, is his profound quality of going above and beyond to help candidates aces through the interviews. He never shuns off from taking the ownership of guiding the candidates throughout the process though he gets paid just for the one hour sessions here. Being extremely approachable is another quality that I like the most in him."
+name: "Venkata"
+position: "Data Engineer"
+avatar: "https://media.licdn.com/dms/image/C4D03AQFdMv5-m_JRtg/profile-displayphoto-shrink_200_200/0/1657740760304?e=1684972800&v=beta&t=VrCn2cSmN1rYW96c5i0wjQUdgjpLiaO_hctl4W1RAOI"
\ No newline at end of file
diff --git a/database.rules.json b/database.rules.json
new file mode 100644
index 000000000..f54493dbd
--- /dev/null
+++ b/database.rules.json
@@ -0,0 +1,7 @@
+{
+  /* Visit https://firebase.google.com/docs/database/security to learn more about security rules. */
+  "rules": {
+    ".read": false,
+    ".write": false
+  }
+}
\ No newline at end of file
diff --git a/firebase.json b/firebase.json
new file mode 100644
index 000000000..61b6c7e33
--- /dev/null
+++ b/firebase.json
@@ -0,0 +1,41 @@
+{
+  "database": {
+    "rules": "database.rules.json"
+  },
+  "firestore": {
+    "rules": "firestore.rules",
+    "indexes": "firestore.indexes.json"
+  },
+  "hosting": {
+    "public": "public",
+    "ignore": [
+      "firebase.json",
+      "**/.*",
+      "**/node_modules/**"
+    ]
+  },
+  "storage": {
+    "rules": "storage.rules"
+  },
+  "emulators": {
+    "auth": {
+      "port": 9099
+    },
+    "functions": {
+      "port": 5001
+    },
+    "firestore": {
+      "port": 8080
+    },
+    "hosting": {
+      "port": 5000
+    },
+    "ui": {
+      "enabled": true
+    },
+    "singleProjectMode": true
+  },
+  "remoteconfig": {
+    "template": "remoteconfig.template.json"
+  }
+}
diff --git a/firestore.indexes.json b/firestore.indexes.json
new file mode 100644
index 000000000..415027e5d
--- /dev/null
+++ b/firestore.indexes.json
@@ -0,0 +1,4 @@
+{
+  "indexes": [],
+  "fieldOverrides": []
+}
diff --git a/firestore.rules b/firestore.rules
new file mode 100644
index 000000000..c38e3ae32
--- /dev/null
+++ b/firestore.rules
@@ -0,0 +1,8 @@
+rules_version = '2';
+service cloud.firestore {
+  match /databases/{database}/documents {
+    match /{document=**} {
+      allow read, write: if false;
+    }
+  }
+}
\ No newline at end of file
diff --git a/frontmatter.json b/frontmatter.json
new file mode 100644
index 000000000..6005997be
--- /dev/null
+++ b/frontmatter.json
@@ -0,0 +1,141 @@
+{
+  "$schema": "https://frontmatter.codes/frontmatter.schema.json",
+  "frontMatter.taxonomy.contentTypes": [
+    {
+      "name": "default",
+      "pageBundle": false,
+      "previewPath": null,
+      "fields": [
+        {
+          "title": "Title",
+          "name": "title",
+          "type": "string"
+        },
+        {
+          "title": "Description",
+          "name": "description",
+          "type": "string"
+        },
+        {
+          "title": "Publishing date",
+          "name": "date",
+          "type": "datetime",
+          "default": "{{now}}",
+          "isPublishDate": true
+        },
+        {
+          "title": "Content preview",
+          "name": "preview",
+          "type": "image"
+        },
+        {
+          "title": "Is in draft",
+          "name": "draft",
+          "type": "draft"
+        },
+        {
+          "title": "Tags",
+          "name": "tags",
+          "type": "tags"
+        },
+        {
+          "title": "Categories",
+          "name": "categories",
+          "type": "categories"
+        }
+      ]
+    }
+  ],
+  "frontMatter.framework.id": "hugo",
+  "frontMatter.content.publicFolder": "static",
+  "frontMatter.content.pageFolders": [
+    {
+      "title": "content",
+      "path": "[[workspace]]/content",
+      "originalPath": "[[workspace]]/content"
+    },
+    {
+      "title": "archetypes",
+      "path": "[[workspace]]/archetypes",
+      "originalPath": "[[workspace]]/archetypes"
+    },
+    {
+      "title": "blog",
+      "path": "[[workspace]]/content/blog",
+      "originalPath": "[[workspace]]/content/blog"
+    },
+    {
+      "title": "layouts",
+      "path": "[[workspace]]/layouts",
+      "originalPath": "[[workspace]]/layouts"
+    },
+    {
+      "title": "archetypes",
+      "path": "[[workspace]]/layouts/archetypes",
+      "originalPath": "[[workspace]]/layouts/archetypes"
+    },
+    {
+      "title": "blog",
+      "path": "[[workspace]]/exampleSite/content/blog",
+      "originalPath": "[[workspace]]/exampleSite/content/blog"
+    },
+    {
+      "title": "archetypes",
+      "path": "[[workspace]]/themes/hugo-universal-theme/archetypes",
+      "originalPath": "[[workspace]]/themes/hugo-universal-theme/archetypes"
+    },
+    {
+      "title": "blog",
+      "path": "[[workspace]]/themes/hugo-universal-theme/exampleSite/content/blog"
+    }
+  ],
+  "frontMatter.taxonomy.tags": [
+    "big data",
+    "books",
+    "checkpoint",
+    "coaching",
+    "customer stories",
+    "databricks",
+    "delta",
+    "delta live tables",
+    "foreachBatch",
+    "go",
+    "golang",
+    "hugo",
+    "interviewing",
+    "ipsum",
+    "job_id",
+    "kafka",
+    "merge",
+    "optimize",
+    "programming",
+    "run_id",
+    "spark streaming",
+    "sql",
+    "streaming",
+    "theme",
+    "workspace",
+    "youtube",
+    "z order"
+  ],
+  "frontMatter.taxonomy.categories": [
+    "Arc Resources",
+    "Audantic",
+    "best practices",
+    "coaching",
+    "databricks",
+    "delta",
+    "delta live tables",
+    "interviewing",
+    "jobs",
+    "lorem",
+    "optimize",
+    "power bi",
+    "programming",
+    "pseudo",
+    "spark",
+    "spark streaming",
+    "starting",
+    "streaming"
+  ]
+}
\ No newline at end of file
diff --git a/layouts/index.html b/layouts/index.html
index 96209d460..c5e3c3cf9 100644
--- a/layouts/index.html
+++ b/layouts/index.html
@@ -33,5 +33,17 @@
 
     {{ partial "scripts.html" . }}
 
+
+
+<!-- Google tag (gtag.js) -->
+<script async src="https://www.googletagmanager.com/gtag/js?id=G-T7GGPCXBBT"></script>
+<script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag('js', new Date());
+
+  gtag('config', 'G-T7GGPCXBBT');
+</script>
+
   </body>
 </html>
diff --git a/layouts/page/single.html b/layouts/page/single.html
index 09f3fefed..27803a6cf 100644
--- a/layouts/page/single.html
+++ b/layouts/page/single.html
@@ -23,7 +23,6 @@
             {{ else }}
 
             <div class="container">
-
                 <div class="row">
 
                     <div class="col-md-12">
diff --git a/layouts/partials/aboutSection.html b/layouts/partials/aboutSection.html
new file mode 100644
index 000000000..0001da761
--- /dev/null
+++ b/layouts/partials/aboutSection.html
@@ -0,0 +1,58 @@
+{{ with .Site.Data.aboutSection }}
+{{ if .enable }}
+<section class="section about" id="about">
+    <div class="container">
+        <div class="row text-center">
+            <div class="col-lg-6 offset-lg-3">
+                <div class="about_header mb-5">
+                    <span class="top-title">{{ .topTitle }}</span>
+                    {{ .title | markdownify}}
+                </div>
+            </div>
+        </div>
+        <div class="row">
+            <div class="col-lg-12">
+                <div class="about_content">
+                    <div class="about_content-thumb">
+                        <div class="about-svg">
+                            <img src="images/hero/figure-svg.svg" alt="figure-svg">
+                        </div>
+                        <div class="about_content-thumb-image">
+                            <img src="{{ .image | absURL }}" alt="about-img"
+                                style='-webkit-mask: url({{"images/about/about-mask-svg.svg" | absURL}}); -webkit-mask-size: contain;'>
+                        </div>
+                    </div>
+                    <div class="about_content-inner">
+                        <div class="about_content-inner-blob">
+                            <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"
+                                viewBox="0 0 600 600">
+                                <defs>
+                                    <linearGradient id="c" x1="0.929" y1="0.111" x2="0.263" y2="0.935"
+                                        gradientUnits="objectBoundingBox">
+                                        <stop offset="0" stop-color="#f1f6f9" />
+                                        <stop offset="1" stop-color="#f1f6f9" stop-opacity="0" />
+                                    </linearGradient>
+                                </defs>
+                                <g data-name="blob-shape (3)">
+                                    <path class="blob" fill="url(#c)"
+                                        d="M455.4 151.1c43.1 36.7 73.4 92.8 60.8 136.3-12.7 43.5-68.1 74.4-111.3 119.4-43.1 45-74 104.1-109.8 109-35.9 5-76.7-44.2-111.8-89.2-35.2-45-64.7-85.8-70.8-132.6-6-46.8 11.6-99.6 46.7-136.3 35.2-36.6 88-57.2 142.4-58.8 54.5-1.7 110.6 15.6 153.8 52.2z" />
+                                </g>
+                            </svg>
+                        </div>
+                        <div class="mb-4 text-light">
+                            {{ .content | markdownify}}
+                        </div>
+                        <div>
+                            <a class="btn btn-primary mr-3 btn-zoom"
+                                href="{{ .button1Target | absURL }}">{{ .button1Name }}</a>
+                            <a class="btn btn-outline-primary btn-zoom" href="{{ .button2Target | absURL }}">
+                                {{ .button2Name }} </a>
+                        </div>
+                    </div>
+                </div>
+            </div>
+        </div>
+    </div>
+</section>
+{{ end }}
+{{ end }}
\ No newline at end of file
diff --git a/layouts/partials/about_me.html b/layouts/partials/about_me.html
new file mode 100644
index 000000000..b7c8d2fe4
--- /dev/null
+++ b/layouts/partials/about_me.html
@@ -0,0 +1,30 @@
+<div class="container" id="about_me">
+
+    <div class="row">
+        <div class="col-md-8">
+
+            <section>
+                {{ if isset .Site.Params "formspree_action" }}
+
+                {{ partial "hero.html" . }}
+                {{ partial "skillSection.html" . }}
+                {{ partial "resumeSection.html" . }}                
+ <!--               {{ partial "portfolioSection.html" . }}
+                {{ partial "serviceSection.html" . }}
+          {{ partial "share-buttons.html" . }}
+                 -->
+                {{ end }}
+
+            </section>
+
+        </div>
+
+
+
+    </div>
+
+    <!-- /.row -->
+</div>
+
+<!-- {{ partial "map.html" . }}  -->
+
diff --git a/layouts/partials/contact.html b/layouts/partials/contact.html
index 557539cbe..f932c59a8 100644
--- a/layouts/partials/contact.html
+++ b/layouts/partials/contact.html
@@ -66,13 +66,16 @@ <h3 class="text-uppercase"> {{ i18n "contactAddrTitle" }}</h3>
                 {{ .Site.Params.address | safeHTML }}
 
             </section>
-
+            {{ partial "share-buttons.html" . }}
             {{ end }}
 
         </div>
+        
 
     </div>
+
     <!-- /.row -->
 </div>
 
-{{ partial "map.html" . }}
+<!--{{ partial "map.html" . }}  -->
+
diff --git a/layouts/partials/email.svg b/layouts/partials/email.svg
new file mode 100644
index 000000000..a78e07350
--- /dev/null
+++ b/layouts/partials/email.svg
@@ -0,0 +1 @@
+<svg class="{{ with .class }}{{ . }} {{ end }}icon icon-twitter" width="24" height="24" viewBox="0 0 384 312"><path d="m384 36.9c-14.1 6.3-29.3 10.5-45.2 12.4 16.3-9.7 28.8-25.2 34.6-43.6-15.2 9-32.1 15.6-50 19.1-14.4-15.2-34.9-24.8-57.5-24.8-43.5 0-78.8 35.3-78.8 78.8 0 6.2.7 12.2 2 17.9-65.5-3.3-123.5-34.6-162.4-82.3-6.7 11.6-10.6 25.2-10.6 39.6 0 27.3 13.9 51.4 35 65.6-12.9-.4-25.1-4-35.7-9.9v1c0 38.2 27.2 70 63.2 77.2-6.6 1.8-13.6 2.8-20.8 2.8-5.1 0-10-.5-14.8-1.4 10 31.3 39.1 54.1 73.6 54.7-27 21.1-60.9 33.7-97.8 33.7-6.4 0-12.6-.4-18.8-1.1 34.9 22.4 76.3 35.4 120.8 35.4 144.9 0 224.1-120 224.1-224.1 0-3.4-.1-6.8-.2-10.2 15.4-11.1 28.7-25 39.3-40.8z"/></svg>
\ No newline at end of file
diff --git a/layouts/partials/facebook.svg b/layouts/partials/facebook.svg
new file mode 100644
index 000000000..a78e07350
--- /dev/null
+++ b/layouts/partials/facebook.svg
@@ -0,0 +1 @@
+<svg class="{{ with .class }}{{ . }} {{ end }}icon icon-twitter" width="24" height="24" viewBox="0 0 384 312"><path d="m384 36.9c-14.1 6.3-29.3 10.5-45.2 12.4 16.3-9.7 28.8-25.2 34.6-43.6-15.2 9-32.1 15.6-50 19.1-14.4-15.2-34.9-24.8-57.5-24.8-43.5 0-78.8 35.3-78.8 78.8 0 6.2.7 12.2 2 17.9-65.5-3.3-123.5-34.6-162.4-82.3-6.7 11.6-10.6 25.2-10.6 39.6 0 27.3 13.9 51.4 35 65.6-12.9-.4-25.1-4-35.7-9.9v1c0 38.2 27.2 70 63.2 77.2-6.6 1.8-13.6 2.8-20.8 2.8-5.1 0-10-.5-14.8-1.4 10 31.3 39.1 54.1 73.6 54.7-27 21.1-60.9 33.7-97.8 33.7-6.4 0-12.6-.4-18.8-1.1 34.9 22.4 76.3 35.4 120.8 35.4 144.9 0 224.1-120 224.1-224.1 0-3.4-.1-6.8-.2-10.2 15.4-11.1 28.7-25 39.3-40.8z"/></svg>
\ No newline at end of file
diff --git a/layouts/partials/footer.html b/layouts/partials/footer.html
index 30b0842af..abcf2e0f9 100644
--- a/layouts/partials/footer.html
+++ b/layouts/partials/footer.html
@@ -55,6 +55,7 @@ <h4>{{ i18n "contactTitle" }}</h4>
             <hr class="hidden-md hidden-lg hidden-sm">
 
         </div>
+        {{ partial "share-buttons.html" . }}
         <!-- /.col-md-4 -->
         {{ end }}
 
diff --git a/layouts/partials/hero.html b/layouts/partials/hero.html
new file mode 100644
index 000000000..4195a4183
--- /dev/null
+++ b/layouts/partials/hero.html
@@ -0,0 +1,48 @@
+{{ with .Site.Data.hero }}
+{{ if .enable }}
+<section class="hero" id="home">
+
+  <div class="container">
+    <div class="row align-items-center">
+      <div class="col-lg-6">
+        <div class="hero_content">
+          <div class="hero_blob">
+          </div>
+          <div class="mb-5">
+            <span class="top-title pre-line">{{ .topTitle }}</span>
+            {{ .content | markdownify }}
+          </div>
+          <a type="button" class="btn btn-lg btn-primary btn-zoom"
+            href="{{ .buttonURL | absURL }}">{{ .buttonName }}</a>
+        </div>
+      </div>
+      <div class="col-lg-6">
+        <div class="hero_figure">
+          <img src="{{ .image | absURL }}" alt="hero-image" style='
+                  -webkit-mask: url({{"images/hero/hero-mask-svg.png" | absURL }});
+                  -webkit-mask-repeat: no-repeat;
+                  -webkit-mask-size: contain;
+                  -webkit-mask-position: center center;
+                ' />
+
+          {{ if .videoURL }}
+          <div class="hero_figure-popup">
+            <div class="thumb">
+              <img src="{{ .videoThumb }}" alt="popup" />
+            </div>
+
+            <a href="{{ .videoURL }}" type="button" class="popup-button text-center big">
+              <svg xmlns="http://www.w3.org/2000/svg" width="21" height="24" viewBox="0 0 21 24">
+                <path d="M17.961 10.264a2 2 0 010 3.473L2.992 22.29A2 2 0 010 20.554V3.446A2 2 0 012.992 1.71z"
+                  data-name="Polygon 4" />
+              </svg>
+            </a>
+          </div>
+          {{ end }}
+        </div>
+      </div>
+    </div>
+  </div>
+</section>
+{{ end }}
+{{ end }}
\ No newline at end of file
diff --git a/layouts/partials/linkedin.svg b/layouts/partials/linkedin.svg
new file mode 100644
index 000000000..a78e07350
--- /dev/null
+++ b/layouts/partials/linkedin.svg
@@ -0,0 +1 @@
+<svg class="{{ with .class }}{{ . }} {{ end }}icon icon-twitter" width="24" height="24" viewBox="0 0 384 312"><path d="m384 36.9c-14.1 6.3-29.3 10.5-45.2 12.4 16.3-9.7 28.8-25.2 34.6-43.6-15.2 9-32.1 15.6-50 19.1-14.4-15.2-34.9-24.8-57.5-24.8-43.5 0-78.8 35.3-78.8 78.8 0 6.2.7 12.2 2 17.9-65.5-3.3-123.5-34.6-162.4-82.3-6.7 11.6-10.6 25.2-10.6 39.6 0 27.3 13.9 51.4 35 65.6-12.9-.4-25.1-4-35.7-9.9v1c0 38.2 27.2 70 63.2 77.2-6.6 1.8-13.6 2.8-20.8 2.8-5.1 0-10-.5-14.8-1.4 10 31.3 39.1 54.1 73.6 54.7-27 21.1-60.9 33.7-97.8 33.7-6.4 0-12.6-.4-18.8-1.1 34.9 22.4 76.3 35.4 120.8 35.4 144.9 0 224.1-120 224.1-224.1 0-3.4-.1-6.8-.2-10.2 15.4-11.1 28.7-25 39.3-40.8z"/></svg>
\ No newline at end of file
diff --git a/layouts/partials/portfolioSection.html b/layouts/partials/portfolioSection.html
new file mode 100644
index 000000000..8a321b587
--- /dev/null
+++ b/layouts/partials/portfolioSection.html
@@ -0,0 +1,34 @@
+{{ with .Site.Data.portfolioSection }}
+{{ if .enable }}
+<section class="section portfolio" id="portfolio">
+  <div class="container">
+    <div class="row text-center">
+      <div class="col-lg-6 offset-lg-3">
+        <div class="portfolio__header mb-5">
+          <span class="top-title">{{ .topTitle }}</span>
+          {{ .title | markdownify }}
+        </div>
+      </div>
+    </div>
+    <div class="row">
+      <div class="col-12">
+        <div class="portfolio-item-grid">
+          {{ range (where $.Site.RegularPages "Type" "portfolio").Reverse }}
+          <div class="portfolio-item">
+            <img src="{{ .Params.thumbnail }}" class="portfolio-item-thumb" alt="portfolio-thumb" />
+            <div class="portfolio-item-content">
+              <span>{{ .Params.service }}</span>
+              <h3 class="mb-0">
+                <a class="text-dark" href="{{ .Permalink }}">{{ .Title }}</a>
+              </h3>
+              <a class="see-more-btn" href="{{ .Permalink }}">See details</a>
+            </div>
+          </div>
+          {{ end }}
+        </div>
+      </div>
+    </div>
+  </div>
+</section>
+{{ end }}
+{{ end }}
\ No newline at end of file
diff --git a/layouts/partials/resumeSection.html b/layouts/partials/resumeSection.html
new file mode 100644
index 000000000..7b5d44b94
--- /dev/null
+++ b/layouts/partials/resumeSection.html
@@ -0,0 +1,49 @@
+{{ with .Site.Data.resumeSection }}
+{{ if .enable }}
+<section class="section resume" id="resume">
+    <div class="resume__background"></div>
+    <div class="container">
+        <div class="row">
+            <div class="col-lg-6">
+                <div class="resume__heading">
+                    <div class="text-light">
+                        <span class="top-title pre-line">{{ .topTitle }}</span>
+                        {{ .title | markdownify }}
+                    </div>
+
+                    <div class="btn-group nav mt-5">
+                        <a href="#{{.tab1Target}}" class="btn btn-primary active" data-toggle="tab">{{ .tab1Name }}</a>
+                        <a href="#{{.tab2Target}}" class="btn btn-primary" data-toggle="tab">{{ .tab2Name }}</a>
+                    </div>
+                </div>
+            </div>
+            <div class="col-lg-6">
+                <div class="tab-content ">
+                    <div class="resume__education tab-pane active" id="{{.tab1Target}}">
+                        {{ $Section := .education }}
+                        {{ range $Section }}
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> {{ .time }} </span>
+                            {{ .content | markdownify }}
+                        </div>
+                        {{ end }}
+
+                    </div>
+
+                    <div class="resume__education tab-pane" id="{{.tab2Target}}">
+                        {{ $Section := .experience }}
+                        {{ range $Section }}
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> {{ .time }} </span>
+                            {{ .content | markdownify }}
+                        </div>
+                        {{ end }}
+                    </div>
+
+                </div>
+            </div>
+        </div>
+    </div>
+</section>
+{{ end }}
+{{ end }}
\ No newline at end of file
diff --git a/layouts/partials/serviceSection.html b/layouts/partials/serviceSection.html
new file mode 100644
index 000000000..f414575ee
--- /dev/null
+++ b/layouts/partials/serviceSection.html
@@ -0,0 +1,68 @@
+{{ with .Site.Data.serviceSection }}
+{{ if .enable }}
+<section class="section service" id="service">
+    <div class="service__background">
+        <svg viewBox="0 0 1283 1126">
+            <path fill="#f1f6f9" d="M100 0h1183v1126l-1183-80A100 100 0 010 946V100A100 100 0 01100 0z"
+                data-name="Path 1369" />
+        </svg>
+    </div>
+    <div class="service__background_shape">
+        <svg viewBox="0 0 550 550">
+            <defs>
+                <linearGradient id="b" x1="0.209" y1="0.085" x2="1.071" y2="1.164" gradientUnits="objectBoundingBox">
+                    <stop offset="0" stop-color="#f1f6f9" />
+                    <stop offset="1" stop-color="#f1f6f9" stop-opacity="0" />
+                </linearGradient>
+            </defs>
+            <g data-name="blob-shape (3)">
+                <path class="blob" fill="url(#b)"
+                    d="M455.4 151.1c43.1 36.7 73.4 92.8 60.8 136.3-12.7 43.5-68.1 74.4-111.3 119.4-43.1 45-74 104.1-109.8 109-35.9 5-76.7-44.2-111.8-89.2-35.2-45-64.7-85.8-70.8-132.6-6-46.8 11.6-99.6 46.7-136.3 35.2-36.6 88-57.2 142.4-58.8 54.5-1.7 110.6 15.6 153.8 52.2z" />
+            </g>
+        </svg>
+    </div>
+
+    <div class="service__background_pattern">
+        <img src="images/service/background-pattern.svg" alt="background-pattern">
+    </div>
+
+    <div class="container">
+        <div class="row">
+            <div class="col-lg-6 col-md-12 col-sm-12">
+                <div class="service__header mb-5">
+                    <span class="top-title pre-line">{{ .topTitle }}</span>
+                    {{ .title | markdownify }}
+                </div>
+            </div>
+        </div>
+        <div class="row">
+            <div class="col-12">
+                <div class="service__slider">
+                    {{ $Section := .service }}
+                    {{ range $Section }}
+                    <div class="service__slider_item">
+                        <div class="service__slider_item-icon">
+                            <div class="icon-background">
+                                <svg xmlns="http://www.w3.org/2000/svg" width="122.457" height="109.702"
+                                    viewBox="0 0 122.457 109.702">
+                                    <path fill="#f1f6f9"
+                                        d="M49.855527 9.984102c-4.337424-.815024-8.766002-1.633779-13.152776-1.113889-8.196034.975107-15.344329 6.696991-19.41555 13.879649s-5.363288 15.655094-5.187042 23.907191c.156996 7.385448 1.479849 14.875357 4.972905 21.38465s9.337384 11.961229 16.458344 13.922244c4.833752 1.331211 10.056683 1.044827 14.74081 2.829827 7.560693 2.881382 12.209757 10.489626 19.01235 14.870016a25.650039 25.650039 0 0024.16316 1.698928c8.342551-3.846451 14.03857-12.107291 16.641338-20.918947s2.471077-18.187687 1.756125-27.346305c-.843101-10.912846-3.01686-22.783019-11.354287-29.869462-6.037066-5.130853-14.208558-6.772976-21.995428-8.235353z"
+                                        data-name="Path 1354" />
+                                </svg>
+                            </div>
+                            <div class="icon">
+                                <img src=" {{ .image | absURL }} " alt="ui-ux">
+                            </div>
+                        </div>
+                        <div class="mt-5">
+                            {{ .content | markdownify }}
+                        </div>
+                    </div>
+                    {{ end }}
+                </div>
+            </div>
+        </div>
+    </div>
+</section>
+{{ end }}
+{{ end }}
\ No newline at end of file
diff --git a/layouts/partials/share-buttons.html b/layouts/partials/share-buttons.html
new file mode 100644
index 000000000..b31ff3ff7
--- /dev/null
+++ b/layouts/partials/share-buttons.html
@@ -0,0 +1,44 @@
+{{/*  Config  */}}
+{{ $switches := (dict
+    "facebook" false
+    "twitter" false
+    "linkedin" false
+    "whatsapp" true
+    "xing" false
+    "mail" true
+    "medium" true
+) }}
+{{ $color := "#d5d5d5" }}
+{{ $textcolor := "#bbb" }}
+{{ $hoverColor := "#444444" }}
+
+{{/*  Code  */}}
+{{ $url := printf "%s" .Permalink | absLangURL }}
+{{ $textBody := print .Title "\n\n" (.Summary | truncate 200) "\n\n" $url "\n" }}
+{{ $encodedSummary := strings.TrimPrefix "=" (querify "" (.Summary | truncate 200))  }}
+<nav class="sharebuttons">
+    <span>{{ i18n "share_on" }}:</span>
+    <ul>
+        {{ if $switches.facebook }}<li><a href="https://www.facebook.com/sharer.php?u={{ $url }}&t={{ .Title }}" target="_blank"><svg height="50" viewBox="0 0 50 50" width="50" xmlns="http://www.w3.org/2000/svg"><g fill="none" fill-rule="evenodd"><path d="m12.8064516 26.63h5.4808065v22.5635484c0 .4454839.3609677.8064516.8064516.8064516h9.2929032c.4454839 0 .8064516-.3609677.8064516-.8064516v-22.4572581h6.3006452c.4096774 0 .7543548-.3074193.801129-.7143548l.9569355-8.3067742c.0262903-.2285484-.046129-.4574194-.1990323-.628871-.1530645-.1716129-.3720967-.2698387-.6019354-.2698387h-7.2574194v-5.2070968c0-1.5696774.8451613-2.36564512 2.5122581-2.36564512h4.7451613c.4454838 0 .8064516-.36112903.8064516-.80645162v-7.6248387c0-.44548388-.3609678-.80645162-.8064516-.80645162h-6.5395162c-.046129-.00225806-.1485484-.00596774-.2995161-.00596774-1.1346774 0-5.0787097.22274194-8.1941936 3.08887097-3.4519354 3.17612903-2.9720967 6.97903223-2.8574193 7.63838713v6.0890322h-5.7537097c-.4454839 0-.8064516.3609678-.8064516.8064516v8.2006452c0 .4454839.3609677.8066129.8064516.8066129z" fill="{{ $color }}" class="will-change" fill-rule="nonzero"/><path d="m0 0h50v50h-50z"/></g></svg></a></li>{{ end }}
+        {{ if $switches.twitter }}<li><a href="https://twitter.com/share?text={{ .Title }}&url={{ $url }}" target="_blank"><svg height="50" viewBox="0 0 50 50" width="50" xmlns="http://www.w3.org/2000/svg"><g fill="none" fill-rule="evenodd"><path d="m48.8670204 9.72441272c-.7854489.34833978-1.5930659.64238268-2.418261.88115208.9769529-1.10488248 1.7217769-2.40488211 2.1764642-3.8274403.1019531-.31884757-.0037109-.66787091-.2658202-.8764646-.2618163-.20869135-.6254881-.23369134-.9136716-.06289061-1.7524409 1.03935518-3.6430654 1.78632762-5.6254867 2.22304625-1.9969721-1.95126898-4.7091784-3.06181554-7.5130838-3.06181554-5.918553 0-10.7336884 4.8150377-10.7336884 10.7333954 0 .4661131.0294922.9296872.0878906 1.386816-7.3443338-.644824-14.17226158-4.2546863-18.86093212-10.0061495-.1670898-.20498041-.4245116-.31552725-.68808575-.29433585-.2636718.02060546-.50068345.16933589-.63388653.3979491-.9509763 1.63173782-1.45371053 3.49804585-1.45371053 5.39697115 0 2.5863274.92333958 5.0401353 2.55449146 6.9576152-.49599595-.1717773-.97724581-.3864257-1.43662068-.6414061-.24658196-.1373046-.54755844-.1351562-.7925779.0052735-.24511712.1405273-.39882802.398828-.40537098.6812498-.00117188.0475585-.00117188.0951171-.00117188.1433593 0 3.8604481 2.07773379 7.3361307 5.25439304 9.2304661-.27294914-.027246-.54560531-.0667968-.81660133-.1185546-.27939445-.053418-.5666014.0445312-.75498025.2576171-.18867182.2128906-.2511718.5096678-.16416011.7806638 1.17578092 3.6709951 4.20302615 6.371092 7.86269306 7.1943339-3.0353507 1.9011714-6.50644345 2.8969719-10.15029007 2.8969719-.76035135 0-1.52499957-.0446289-2.2733392-.1332031-.37177724-.0442383-.72724588.1752929-.85390601.5289061-.12666012.3537108.00761719.7480466.32382804.950781 4.68115101 3.001464 10.09384484 4.5878893 15.65272994 4.5878893 10.9280242 0 17.7643504-5.1532212 21.5747986-9.4762669 4.7516588-5.3905258 7.4767557-12.5254847 7.4767557-19.5752874 0-.2945311-.0044922-.5918943-.0135743-.8883786 1.8747065-1.412402 3.4886709-3.1217765 4.8020495-5.0864244.1995116-.2983397.1779296-.6927732-.0532227-.96738251-.2305663-.27509758-.6153318-.36396474-.9436521-.21845697z" fill="{{ $color }}" class="will-change" fill-rule="nonzero"/><path d="m0 0h50v50h-50z"/></g></svg></a></li>{{ end }}
+        {{ if $switches.linkedin }}<li><a href="https://www.linkedin.com/in/jiteshsoni/" target="">
+          <svg style="color: #0288D1" xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-linkedin" viewBox="0 0 16 16"> <path d="M0 1.146C0 .513.526 0 1.175 0h13.65C15.474 0 16 .513 16 1.146v13.708c0 .633-.526 1.146-1.175 1.146H1.175C.526 16 0 15.487 0 14.854V1.146zm4.943 12.248V6.169H2.542v7.225h2.401zm-1.2-8.212c.837 0 1.358-.554 1.358-1.248-.015-.709-.52-1.248-1.342-1.248-.822 0-1.359.54-1.359 1.248 0 .694.521 1.248 1.327 1.248h.016zm4.908 8.212V9.359c0-.216.016-.432.08-.586.173-.431.568-.878 1.232-.878.869 0 1.216.662 1.216 1.634v3.865h2.401V9.25c0-2.22-1.184-3.252-2.764-3.252-1.274 0-1.845.7-2.165 1.193v.025h-.016a5.54 5.54 0 0 1 .016-.025V6.169h-2.4c.03.678 0 7.225 0 7.225h2.4z" fill="blue"></path> </svg>  
+                   </a></li>{{ end }}
+        {{ if $switches.whatsapp }}<li><a href="https://t.me/+12065656859" target="_blank"><svg height="50" viewBox="0 0 50 50" width="50" xmlns="http://www.w3.org/2000/svg"><g fill="none" fill-rule="evenodd"><path d="m25.4437935 0c13.5404221 0 24.5561688 10.9340909 24.5561688 24.3738636 0 13.4383117-11.0157467 24.3712663-24.5560065 24.3711039-4.0610389 0-8.0737013-1.0012987-11.624026-2.8982143l-12.97402593 4.1227273c-.06461039.0206169-.13084416.0305195-.19659091.0305195-.17159091 0-.33961039-.0681818-.46347403-.1946429-.17159091-.1746753-.23003247-.4311688-.15146104-.6631493l4.21801948-12.4423701c-2.20373376-3.724026-3.36704545-7.9790585-3.36704545-12.3259741 0-13.4397727 11.01688308-24.3738636 24.55844158-24.3738636zm-.0001624 5.07727273c-10.725974 0-19.45227269 8.65649347-19.45227269 19.29659087 0 4.0896104 1.28068182 8.0008117 3.70340909 11.3112013.125.1707793.15892857.3917208.09107143.5920455l-2.09805195 6.1897727 6.49918832-2.0659091c.064448-.0204545.1306818-.0305195.1967532-.0305195.125 0 .2491884.036039.3561689.1063312 3.1814935 2.0876624 6.8826298 3.1910714 10.7038961 3.1910714 10.7248376 0 19.4498376-8.6551948 19.4498376-19.2939935 0-10.6400974-8.7253246-19.29659087-19.45-19.29659087zm-6.6467532 7.85259737c.7225649 0 1.2425325.4384741 1.636039 1.3801948.1636363.3902598 1.7027597 4.1048702 1.788961 4.2772728.1050325.2060065.4300325.8439935.049513 1.6l-.0816559.1641233c-.1558441.3159091-.2902597.5886364-.5922078.9399351-.0969155.112013-.1956168.2308442-.2941558.349513-.2081169.250487-.4232143.5094156-.6217532.7058441-.0678572.0680195-.1993507.1998377-.2136364.2522728.000487 0 .0029221.0449675.0610389.1439935.4069806.6887987 3.375 4.7733766 7.2852273 6.4719156.1707792.0741883.7349026.3064935.7675325.3064935.0363636 0 .0970779-.0607143.1415584-.111526.3405844-.3849026 1.4428572-1.6733766 1.8069806-2.2146104.3220779-.4818182.7355519-.7271104 1.2277597-.7271104.3012987 0 .5845779.0926948.849026.1876624.6030564.2170398 3.8043369 1.7879312 4.3216328 2.0413055l.0686269.0335321c.4774351.2292208.8545455.4102273 1.0733766.7699676.3194805.5290584.1928572 1.9868506-.2873376 3.3211038-.609578 1.6939936-3.2894481 3.0826299-4.5089286 3.1907468l-.1788961.0170455c-.2819805.0277597-.6016234.0590909-1.000974.0590909l-.0944191-.0005452c-.9658464-.0112678-2.6415309-.2079278-6.0576913-1.5725068-3.6667208-1.4647727-7.2837663-4.6050325-10.1852273-8.8423701-.0501623-.0733766-.0847403-.124513-.1035714-.1496753-.7576299-.998539-2.5222403-3.624026-2.5222403-6.4047078 0-3.0896104 1.4788961-4.8464286 2.3530844-5.397565.8243507-.5196428 2.6887987-.7650974 3.0311689-.7795454.0351461-.0014814.0648513-.0027775.0900577-.0039117l.1047884-.0050457c.0548951-.0028933.0444193-.0028933.0863227-.0028933z" fill="{{ $color }}" class="will-change" fill-rule="nonzero"/><path d="m0 0h50v50h-50z"/></g></svg></a></li>{{ end }}
+        {{ if $switches.xing }}<li><a href="https://www.xing.com/social_plugins/share/new?sc_p=xing-share&h=1&url={{ $url }}" target="_blank"><svg height="50" viewBox="0 0 50 50" width="50" xmlns="http://www.w3.org/2000/svg"><g fill="none" fill-rule="evenodd"><path d="m0 0v50h50v-50zm8.65384615 31.8413187 6.00582415-9.8893407-4.5034066-7.9346154h7.6226374l4.5057143 7.9346154-6.0062638 9.8893407zm28.41967035 10.4663736h-8.0884616l-7.7408791-13.5706593 12.0154945-21.04472531h8.0864835l-12.0153846 21.04472531z" fill="{{ $color }}" class="will-change" fill-rule="nonzero"/><path d="m0 0h50v50h-50z"/></g></svg></a></li>{{ end }}
+        {{ if $switches.medium }}<li><a href="https://canadiandataguy.medium.com/" target="_blank">
+          <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-medium" viewBox="0 0 16 16"> <path d="M9.025 8c0 2.485-2.02 4.5-4.513 4.5A4.506 4.506 0 0 1 0 8c0-2.486 2.02-4.5 4.512-4.5A4.506 4.506 0 0 1 9.025 8zm4.95 0c0 2.34-1.01 4.236-2.256 4.236-1.246 0-2.256-1.897-2.256-4.236 0-2.34 1.01-4.236 2.256-4.236 1.246 0 2.256 1.897 2.256 4.236zM16 8c0 2.096-.355 3.795-.794 3.795-.438 0-.793-1.7-.793-3.795 0-2.096.355-3.795.794-3.795.438 0 .793 1.699.793 3.795z"/> </svg>         
+          </a></li>{{ end }}
+        {{ if $switches.mail }}<li><a href="mailto:info@canadiandataguy.com" target="_blank"><svg height="50" viewBox="0 0 50 50" width="50" xmlns="http://www.w3.org/2000/svg"><g fill="none" fill-rule="evenodd"><path d="m46.149789 6h-42.29957803c-2.12025316 0-3.85021097 1.72995781-3.85021097 3.85021097v29.78902953c0 2.1202532 1.72995781 3.850211 3.85021097 3.850211h42.29957803c2.1202532 0 3.850211-1.7299578 3.850211-3.850211v-29.78902953c0-2.12025316-1.7299578-3.85021097-3.850211-3.85021097zm-.5590717 2.84810127-20.3270042 17.38396623-20.32700424-17.38396623zm1.5611814 30.79113923c0 .5485232-.4535865 1.0021097-1.0021097 1.0021097h-42.29957803c-.54852321 0-1.0021097-.4535865-1.0021097-1.0021097v-28.8291139l21.48734173 18.3755274c.0105486.0105485.0316456.0210971.0421941.0316456.0105486.0105485.0316456.021097.0421941.0316455.0316456.0210971.0527426.0421941.0843882.0527427.0105485.0105485.0210971.0105485.0316456.021097.0421941.0210971.0843882.0421941.1265823.0632911.0105485 0 .021097.0105486.0316455.0105486.0316456.0105485.0632912.0316455.1054853.0421941.0105485 0 .0316455.0105485.0421941.0105485.0316455.0105485.0632911.021097.0949367.021097.0105485 0 .0316455.0105486.0421941.0105486.0316455.0105485.0738396.0105485.1054852.021097h.0316456c.042194 0 .0949367.0105485.1371308.0105485.042194 0 .0949367 0 .1371308-.0105485h.0316455c.0316456 0 .0738397-.0105485.1054853-.021097.0105485 0 .0316455-.0105486.0421941-.0105486.0316455-.0105485.0632911-.021097.0949367-.021097.0105485 0 .0316455-.0105485.0421941-.0105485.0316455-.0105486.0632911-.0210971.1054852-.0421941.0105485 0 .021097-.0105486.0316456-.0105486.042194-.021097.0843881-.042194.1265822-.0632911.0105486-.0105485.0210971-.0105485.0316456-.021097.0316456-.0210971.0527426-.0316456.0843882-.0527427.0105485-.0105485.0316456-.021097.0421941-.0316455s.0316456-.0210971.0421941-.0316456l20.9810126-17.9219409z" fill="{{ $color }}" class="will-change" fill-rule="nonzero"/><path d="m0 0h50v50h-50z"/></g></svg></a></li>{{ end }}
+    </ul>
+</nav>
+<style>
+.sharebuttons, .sharebuttons ul {display: flex; margin: 0.25rem 0; align-items: center;}
+.sharebuttons span {color: {{ $textcolor }};}
+.sharebuttons ul li {list-style: none; margin: 0;}
+.sharebuttons ul li a {margin: 0 0.5rem; display: block;}
+.sharebuttons ul li:first-child a {margin: 0 0.2rem 0 0.5rem;}
+.sharebuttons ul li a svg {width: auto; height:4.1rem; display: block;}
+.will-change {transition: 250ms;} 
+nav.sharebuttons li > a:hover .will-change { fill: {{ $hoverColor }} }
+</style>
\ No newline at end of file
diff --git a/layouts/partials/sidebar.html b/layouts/partials/sidebar.html
index 899ee631b..5284118b6 100644
--- a/layouts/partials/sidebar.html
+++ b/layouts/partials/sidebar.html
@@ -1,5 +1,6 @@
 {{ partial "widgets/search.html" . }}
-
+{{ partial "share-buttons.html" . }}
 {{ partial "widgets/categories.html" . }}
 
 {{ partial "widgets/tags.html" . }}
+
diff --git a/layouts/partials/skillSection.html b/layouts/partials/skillSection.html
new file mode 100644
index 000000000..2c3ad3b0a
--- /dev/null
+++ b/layouts/partials/skillSection.html
@@ -0,0 +1,46 @@
+{{ with .Site.Data.skillSection }}
+{{ if .enable }}
+<section class="section skill", id="skills">
+
+
+    <div class="container">
+        <div class="row align-items-center">
+            <div class="col-lg-6">
+                <div class="skill__thumb">
+                    <div class="skill__thumb_pattern">
+                        <img src="images/hero/figure-svg.svg" alt="">
+                    </div>
+                    <div class="skill__thumb_image">
+                        <img src="{{ .image | absURL }}" alt="" style='
+                                        -webkit-mask: url({{"images/skill/skill-mask-svg.svg" | absURL}});
+                                        -webkit-mask-repeat: no-repeat;
+                                        -webkit-mask-size: contain;
+                                        -webkit-mask-position: left left;
+                                    '>
+                    </div>
+                </div>
+            </div>
+            <div class="col-lg-6">
+                <div class="skill__progress">
+                    <div class="skill__progress_heading mb-5">
+                        <span class="top-title pre-line">{{ .topTitle }}</span>
+                        {{ .content | markdownify }}
+                    </div>
+                    {{ $section := .skill }}
+                    {{ range $section }}
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> {{ .title }} </span>
+                        <div class="progress-value float-right"><span>{{ .percent }}</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:{{ .percent }}%;" aria-valuemin="0"
+                                aria-valuemax="{{ .percent }}"></div>
+                        </div>
+                    </div>
+                    {{ end }}
+                </div>
+            </div>
+        </div>
+    </div>
+</section>
+{{ end }}
+{{ end }}
diff --git a/layouts/partials/socialshare.html b/layouts/partials/socialshare.html
new file mode 100644
index 000000000..5cd9a3be5
--- /dev/null
+++ b/layouts/partials/socialshare.html
@@ -0,0 +1,60 @@
+<!-- Social Share Button HTML -->
+{{- if .Param "socialshare" }}
+  {{ $title := .Title }}
+  {{ $url := printf "%s" .Permalink }}
+  {{ $body := print $title ", by " .Site.Title "\n" .Params.description "\n\n" $url "\n" }}
+
+  <section class="social-share">
+    <ul class="share-icons">
+      <!-- Twitter -->
+      {{ if .Site.Params.social.share.twitter }}
+      <li>
+        <a href="https://twitter.com/intent/tweet?hashtags=codingnconcepts&amp;url={{ .Permalink }}&amp;text={{ .Title }}" target="_blank" rel="noopener" aria-label="Share on Twitter" class="share-btn twitter">
+          {{ partial "svg/twitter.svg" (dict "class" "widget-social__link-icon") }}
+          <p>Twitter</p>
+          </a>
+      </li>
+      {{ end }}
+
+      <!-- Facebook -->
+      {{ if .Site.Params.social.share.facebook }}
+      <li>
+        <a href="https://www.facebook.com/sharer.php?u={{ $url }}" target="_blank" rel="noopener" aria-label="Share on Facebook" class="share-btn facebook">
+          {{ partial "svg/facebook.svg" (dict "class" "widget-social__link-icon") }}
+          <p>Facebook</p>
+          </a>
+      </li>
+      {{ end }}
+
+      <!-- LinkedIn -->
+      {{ if .Site.Params.social.share.linkedin }}
+      <li>
+        <a href="https://www.linkedin.com/shareArticle?mini=true&amp;url={{ $url }}&amp;source={{ $url }}&amp;title={{ $title }}&amp;summary={{ $title }}" target="_blank" rel="noopener" aria-label="Share on LinkedIn" class="share-btn linkedin">
+          {{ partial "svg/linkedin.svg" (dict "class" "widget-social__link-icon") }}
+            <p>LinkedIn</p>
+          </a>
+      </li>
+      {{ end }}
+
+      <!-- WhatsApp -->
+      {{ if .Site.Params.social.share.whatsapp }}
+      <li>
+        <a href="whatsapp://send?text={{ $body }}" target="_blank" class="share-btn whatsapp">
+          {{ partial "svg/whatsapp.svg" (dict "class" "widget-social__link-icon") }}
+          <p>Email</p>
+        </a>
+      </li>
+      {{ end }}
+
+      <!-- Email -->
+      {{ if .Site.Params.social.share.email }}
+      <li>
+        <a href="mailto:?subject={{ .Site.Title }} - {{ $title }}.&amp;body={{ $body }}" target="_blank" class="share-btn email">
+          {{ partial "svg/email.svg" (dict "class" "widget-social__link-icon") }}
+          <p>Email</p>
+        </a>
+      </li>
+    </ul>
+  </section>
+  {{ end }}
+{{- end }}
\ No newline at end of file
diff --git a/layouts/partials/twitter.svg b/layouts/partials/twitter.svg
new file mode 100644
index 000000000..a78e07350
--- /dev/null
+++ b/layouts/partials/twitter.svg
@@ -0,0 +1 @@
+<svg class="{{ with .class }}{{ . }} {{ end }}icon icon-twitter" width="24" height="24" viewBox="0 0 384 312"><path d="m384 36.9c-14.1 6.3-29.3 10.5-45.2 12.4 16.3-9.7 28.8-25.2 34.6-43.6-15.2 9-32.1 15.6-50 19.1-14.4-15.2-34.9-24.8-57.5-24.8-43.5 0-78.8 35.3-78.8 78.8 0 6.2.7 12.2 2 17.9-65.5-3.3-123.5-34.6-162.4-82.3-6.7 11.6-10.6 25.2-10.6 39.6 0 27.3 13.9 51.4 35 65.6-12.9-.4-25.1-4-35.7-9.9v1c0 38.2 27.2 70 63.2 77.2-6.6 1.8-13.6 2.8-20.8 2.8-5.1 0-10-.5-14.8-1.4 10 31.3 39.1 54.1 73.6 54.7-27 21.1-60.9 33.7-97.8 33.7-6.4 0-12.6-.4-18.8-1.1 34.9 22.4 76.3 35.4 120.8 35.4 144.9 0 224.1-120 224.1-224.1 0-3.4-.1-6.8-.2-10.2 15.4-11.1 28.7-25 39.3-40.8z"/></svg>
\ No newline at end of file
diff --git a/layouts/partials/whatsapp.svg b/layouts/partials/whatsapp.svg
new file mode 100644
index 000000000..a78e07350
--- /dev/null
+++ b/layouts/partials/whatsapp.svg
@@ -0,0 +1 @@
+<svg class="{{ with .class }}{{ . }} {{ end }}icon icon-twitter" width="24" height="24" viewBox="0 0 384 312"><path d="m384 36.9c-14.1 6.3-29.3 10.5-45.2 12.4 16.3-9.7 28.8-25.2 34.6-43.6-15.2 9-32.1 15.6-50 19.1-14.4-15.2-34.9-24.8-57.5-24.8-43.5 0-78.8 35.3-78.8 78.8 0 6.2.7 12.2 2 17.9-65.5-3.3-123.5-34.6-162.4-82.3-6.7 11.6-10.6 25.2-10.6 39.6 0 27.3 13.9 51.4 35 65.6-12.9-.4-25.1-4-35.7-9.9v1c0 38.2 27.2 70 63.2 77.2-6.6 1.8-13.6 2.8-20.8 2.8-5.1 0-10-.5-14.8-1.4 10 31.3 39.1 54.1 73.6 54.7-27 21.1-60.9 33.7-97.8 33.7-6.4 0-12.6-.4-18.8-1.1 34.9 22.4 76.3 35.4 120.8 35.4 144.9 0 224.1-120 224.1-224.1 0-3.4-.1-6.8-.2-10.2 15.4-11.1 28.7-25 39.3-40.8z"/></svg>
\ No newline at end of file
diff --git a/layouts/shortcodes/medium.html b/layouts/shortcodes/medium.html
new file mode 100644
index 000000000..5ecffb90f
--- /dev/null
+++ b/layouts/shortcodes/medium.html
@@ -0,0 +1,7 @@
+{{ $url := .Get "url" }}
+{{ with $url }}
+  <div class="medium-post">
+    <script async src="https://static.medium.com/embed.js"></script>
+    <a class="m-story" href="{{ . }}" data-height="auto" data-width="100%"></a>
+  </div>
+{{ end }}
diff --git a/package-lock.json b/package-lock.json
index d696eaebc..616109ddb 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -11,94 +11,58 @@
         "eslint-plugin-promise": "^3.0.0",
         "eslint-plugin-standard": "^2.0.1",
         "prettier": "^2.3.2",
-        "stylelint": "^13.13.1",
+        "stylelint": "^15.10.1",
         "stylelint-config-standard": "^22.0.0"
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.10.4",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.10.4.tgz",
-      "integrity": "sha512-vG6SvB6oYEhvgisZNFRmRCUkLz11c7rp+tbNTynGqc6mS1d5ATd/sGyV6W0KZZnXRKMTzZDRgQT3Ou9jhpAfUg==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.5.tgz",
+      "integrity": "sha512-Xmwn266vad+6DAqEB2A6V/CcZVp62BbwVmcOJc2RPuwih1kw02TjQvWVWlcKGbBPd+8/0V5DEkOcizRGYsspYQ==",
       "dev": true,
       "dependencies": {
-        "@babel/highlight": "^7.10.4"
-      }
-    },
-    "node_modules/@babel/compat-data": {
-      "version": "7.14.7",
-      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.14.7.tgz",
-      "integrity": "sha512-nS6dZaISCXJ3+518CWiBfEr//gHyMO02uDxBkXTKZDN5POruCnOZ1N4YBRZDCabwF8nZMWBpRxIicmXtBs+fvw==",
-      "dev": true,
+        "@babel/highlight": "^7.22.5"
+      },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/core": {
-      "version": "7.14.8",
-      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.14.8.tgz",
-      "integrity": "sha512-/AtaeEhT6ErpDhInbXmjHcUQXH0L0TEgscfcxk1qbOvLuKCa5aZT0SOOtDKFY96/CLROwbLSKyFor6idgNaU4Q==",
+    "node_modules/@babel/helper-validator-identifier": {
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.5.tgz",
+      "integrity": "sha512-aJXu+6lErq8ltp+JhkJUfk1MTGyuA4v7f3pA+BJ5HLfNC6nAQ0Cpi9uOquUj8Hehg0aUiHzWQbOVJGao6ztBAQ==",
       "dev": true,
-      "dependencies": {
-        "@babel/code-frame": "^7.14.5",
-        "@babel/generator": "^7.14.8",
-        "@babel/helper-compilation-targets": "^7.14.5",
-        "@babel/helper-module-transforms": "^7.14.8",
-        "@babel/helpers": "^7.14.8",
-        "@babel/parser": "^7.14.8",
-        "@babel/template": "^7.14.5",
-        "@babel/traverse": "^7.14.8",
-        "@babel/types": "^7.14.8",
-        "convert-source-map": "^1.7.0",
-        "debug": "^4.1.0",
-        "gensync": "^1.0.0-beta.2",
-        "json5": "^2.1.2",
-        "semver": "^6.3.0",
-        "source-map": "^0.5.0"
-      },
       "engines": {
         "node": ">=6.9.0"
-      },
-      "funding": {
-        "type": "opencollective",
-        "url": "https://opencollective.com/babel"
       }
     },
-    "node_modules/@babel/core/node_modules/@babel/code-frame": {
-      "version": "7.14.5",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.14.5.tgz",
-      "integrity": "sha512-9pzDqyc6OLDaqe+zbACgFkb6fKMNG6CObKpnYXChRsvYGyEdc7CA2BaqeOM+vOtCS5ndmJicPJhKAwYRI6UfFw==",
+    "node_modules/@babel/highlight": {
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.22.5.tgz",
+      "integrity": "sha512-BSKlD1hgnedS5XRnGOljZawtag7H1yPfQp0tdNJCHoH6AZ+Pcm9VvkrK59/Yy593Ypg0zMxH2BxD1VPYUQ7UIw==",
       "dev": true,
       "dependencies": {
-        "@babel/highlight": "^7.14.5"
+        "@babel/helper-validator-identifier": "^7.22.5",
+        "chalk": "^2.0.0",
+        "js-tokens": "^4.0.0"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
-    "node_modules/@babel/core/node_modules/@babel/helper-validator-identifier": {
-      "version": "7.14.8",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.14.8.tgz",
-      "integrity": "sha512-ZGy6/XQjllhYQrNw/3zfWRwZCTVSiBLZ9DHVZxn9n2gip/7ab8mv2TWlKPIBk26RwedCBoWdjLmn+t9na2Gcow==",
-      "dev": true,
-      "engines": {
-        "node": ">=6.9.0"
-      }
-    },
-    "node_modules/@babel/core/node_modules/@babel/highlight": {
-      "version": "7.14.5",
-      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.14.5.tgz",
-      "integrity": "sha512-qf9u2WFWVV0MppaL877j2dBtQIDgmidgjGk5VIMw3OadXvYaXn66U1BFlH2t4+t3i+8PhedppRv+i40ABzd+gg==",
+    "node_modules/@babel/highlight/node_modules/ansi-styles": {
+      "version": "3.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+      "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-validator-identifier": "^7.14.5",
-        "chalk": "^2.0.0",
-        "js-tokens": "^4.0.0"
+        "color-convert": "^1.9.0"
       },
       "engines": {
-        "node": ">=6.9.0"
+        "node": ">=4"
       }
     },
-    "node_modules/@babel/core/node_modules/chalk": {
+    "node_modules/@babel/highlight/node_modules/chalk": {
       "version": "2.4.2",
       "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
       "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
@@ -112,450 +76,495 @@
         "node": ">=4"
       }
     },
-    "node_modules/@babel/core/node_modules/semver": {
-      "version": "6.3.0",
-      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.0.tgz",
-      "integrity": "sha512-b39TBaTSfV6yBrapU89p5fKekE2m/NwnDocOVruQFS1/veMgdzuPcnOM34M6CwxW8jH/lxEa5rBoDeUwu5HHTw==",
+    "node_modules/@babel/highlight/node_modules/color-convert": {
+      "version": "1.9.3",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
+      "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
       "dev": true,
-      "bin": {
-        "semver": "bin/semver.js"
+      "dependencies": {
+        "color-name": "1.1.3"
       }
     },
-    "node_modules/@babel/generator": {
-      "version": "7.14.8",
-      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.14.8.tgz",
-      "integrity": "sha512-cYDUpvIzhBVnMzRoY1fkSEhK/HmwEVwlyULYgn/tMQYd6Obag3ylCjONle3gdErfXBW61SVTlR9QR7uWlgeIkg==",
+    "node_modules/@babel/highlight/node_modules/color-name": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
+      "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
+      "dev": true
+    },
+    "node_modules/@babel/highlight/node_modules/has-flag": {
+      "version": "3.0.0",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
+      "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
       "dev": true,
-      "dependencies": {
-        "@babel/types": "^7.14.8",
-        "jsesc": "^2.5.1",
-        "source-map": "^0.5.0"
-      },
       "engines": {
-        "node": ">=6.9.0"
+        "node": ">=4"
       }
     },
-    "node_modules/@babel/helper-compilation-targets": {
-      "version": "7.14.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.14.5.tgz",
-      "integrity": "sha512-v+QtZqXEiOnpO6EYvlImB6zCD2Lel06RzOPzmkz/D/XgQiUu3C/Jb1LOqSt/AIA34TYi/Q+KlT8vTQrgdxkbLw==",
+    "node_modules/@babel/highlight/node_modules/supports-color": {
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@@ -6839,28 +4362,6 @@
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@@ -6883,15 +4384,13 @@
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+      "version": "5.0.1",
+      "resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-5.0.1.tgz",
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-        "is-typedarray": "^1.0.0",
-        "signal-exit": "^3.0.2",
-        "typedarray-to-buffer": "^3.1.5"
+        "signal-exit": "^4.0.1"
       }
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     "yallist": {
@@ -6900,23 +4399,17 @@
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+    "yocto-queue": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
       "dev": true
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-}
+}
\ No newline at end of file
diff --git a/package.json b/package.json
index 725997ea9..3813bd4cc 100644
--- a/package.json
+++ b/package.json
@@ -6,8 +6,8 @@
     "eslint-plugin-promise": "^3.0.0",
     "eslint-plugin-standard": "^2.0.1",
     "prettier": "^2.3.2",
-    "stylelint": "^13.13.1",
-    "stylelint-config-standard": "^22.0.0"
+    "stylelint": "^15.11.0",
+    "stylelint-config-standard": "^34.0.0"
   },
   "scripts": {
     "stylelint": "stylelint \"**/*.css\"",
diff --git a/public/404.html b/public/404.html
new file mode 100644
index 000000000..f5cd1c146
--- /dev/null
+++ b/public/404.html
@@ -0,0 +1,389 @@
+<!DOCTYPE html>
+<html lang="en-us">
+
+  <head>
+    <meta charset="utf-8">
+<meta name="robots" content="all,follow">
+<meta name="googlebot" content="index,follow,snippet,archive">
+<meta name="viewport" content="width=device-width, initial-scale=1">
+
+<title>404 Page not found</title>
+<meta name="author" content="Canadian Data Guy" />
+
+
+
+
+<meta name="keywords" content="devcows, hugo, go">
+
+
+<meta name="description" content="">
+
+<meta name="generator" content="Hugo 0.120.4">
+
+
+<link href='//fonts.googleapis.com/css?family=Roboto:400,100,100italic,300,300italic,500,700,800' rel='stylesheet' type='text/css'>
+
+
+<link rel="stylesheet" href="//use.fontawesome.com/releases/v5.11.2/css/all.css">
+<link rel="stylesheet" href="//maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css" integrity="sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u" crossorigin="anonymous">
+
+
+<link href="/css/animate.css" rel="stylesheet">
+
+
+
+  <link href="/css/style.red.css" rel="stylesheet" id="theme-stylesheet">
+
+
+
+<link href="/css/custom.css?1701679890" rel="stylesheet">
+
+
+
+  <!--[if lt IE 9]>
+      <script src="https://oss.maxcdn.com/html5shiv/3.7.2/html5shiv.min.js"></script>
+      <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+  <![endif]-->
+
+
+
+<link rel="shortcut icon" href="/img/favicon.ico" type="image/x-icon" />
+<link rel="apple-touch-icon" href="/img/apple-touch-icon.png" />
+
+
+<link href="/css/owl.carousel.css" rel="stylesheet">
+<link href="/css/owl.theme.css" rel="stylesheet">
+
+
+<link rel="alternate" href="https://canadiandataguy.com/index.xml" type="application/rss+xml" title="Canadian Data Guy">
+
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+
+
+
+
+
+
+<meta property="og:locale" content="en_us">
+<meta property="og:site_name" content="Canadian Data Guy">
+<meta property="og:title" content="404 Page not found">
+<meta property="og:type" content="website">
+<meta property="og:url" content="https://canadiandataguy.com/404.html" />
+<meta property="og:description" content="">
+<meta property="og:image" content="https://canadiandataguy.com/img/Canadian%20Data%20Guy-logos.jpeg">
+<meta property="og:image:type" content="image/jpeg">
+
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+
+  <meta property="og:image:width" content="1200">
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+
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+<meta name="twitter:card" content="summary">
+
+<meta name="twitter:title" content="404 Page not found">
+
+<meta name="twitter:image" content="https://canadiandataguy.com/img/Canadian%20Data%20Guy-logos.jpeg">
+
+<meta name="twitter:description" content="">
+
+
+    
+  </head>
+
+  <body>
+
+    <div id="all">
+
+        <header class="navbar-affixed-top" data-spy="affix" data-offset-top="62">
+    <div class="navbar navbar-default yamm mouseover" role="navigation" id="navbar">
+        <div class="container">
+            <div class="navbar-header">
+                <a class="navbar-brand home" href="/">
+                    
+                      <img src="/img/cdg5.png" alt="404 Page not found logo" class="hidden-xs hidden-sm" />
+                      <img src="/img/cdg5.png" alt="404 Page not found logo" class="visible-xs visible-sm" />
+                    
+                    <span class="sr-only">404 Page not found - go to homepage</span>
+                </a>
+                <div class="navbar-buttons">
+                    <button type="button" class="navbar-toggle btn-template-main" data-toggle="collapse" data-target="#navigation">
+                      <span class="sr-only">Toggle Navigation</span>
+                        <i class="fas fa-align-justify"></i>
+                    </button>
+                </div>
+            </div>
+            
+
+            <div class="navbar-collapse collapse" id="navigation">
+                <ul class="nav navbar-nav navbar-right">
+                  
+
+                  
+                  
+                  
+
+                  
+
+                  
+
+                  
+
+                  
+                  <li class="dropdown ">
+                    <a href="/">Home</a>
+                  </li>
+                  
+                  
+                  
+                  
+
+                  
+
+                  
+
+                  
+
+                  
+                  <li class="dropdown ">
+                    <a href="/blog/">Blog</a>
+                  </li>
+                  
+                  
+                  
+                  
+
+                  
+
+                  
+
+                  
+
+                  
+                    
+                    
+                    <li class="dropdown ">
+                        <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Portfolio <span class="caret"></span></a>
+                        
+                        <ul class="dropdown-menu">
+                            
+                            <li><a href="/databricks-customer-success-stories/">Databricks Customer Success Stories</a></li>
+                            
+                        </ul>
+                        
+                    </li>
+                  
+                  
+                  
+                  
+
+                  
+
+                  
+
+                  
+
+                  
+                    
+                    
+                    <li class="dropdown ">
+                        <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Interview Coaching <span class="caret"></span></a>
+                        
+                        <ul class="dropdown-menu">
+                            
+                            <li><a href="/blog/youtube/">Youtube</a></li>
+                            
+                            <li><a href="/blog/howtoprepareyourselftobebetteratdatainterviews">how to prepare for data interviews</a></li>
+                            
+                            <li><a href="/blog/1-on-1-coaching/">1 on 1 coaching</a></li>
+                            
+                        </ul>
+                        
+                    </li>
+                  
+                  
+                  
+                  
+
+                  
+
+                  
+
+                  
+
+                  
+                  <li class="dropdown ">
+                    <a href="/about-me/">About Me</a>
+                  </li>
+                  
+                  
+                  
+                  
+
+                  
+
+                  
+
+                  
+
+                  
+                  <li class="dropdown ">
+                    <a href="/contact/">Contact</a>
+                  </li>
+                  
+                  
+                </ul>
+            </div>
+            
+
+            <div class="collapse clearfix" id="search">
+                <form class="navbar-form" role="search">
+                    <div class="input-group">
+                        <input type="text" class="form-control" placeholder="Search">
+                        <span class="input-group-btn">
+                    <button type="submit" class="btn btn-template-main"><i class="fas fa-search"></i></button>
+                </span>
+                    </div>
+                </form>
+            </div>
+            
+        </div>
+    </div>
+</header>
+
+
+
+
+        <div id="content">
+            <div class="container">
+
+                <div class="col-sm-6 col-sm-offset-3" id="error-page">
+
+                    <div class="box">
+
+                        <h3>We are sorry – this page is not here anymore</h3>
+                        <h4 class="text-muted">Error 404: Page not found</h4>
+
+                        <p class="buttons"><a href="/" class="btn btn-template-main"><i class="fas fa-home"></i> Go to homepage</a>
+                        </p>
+                    </div>
+
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+                </div>
+                
+            </div>
+            
+        </div>
+        
+
+        <footer id="footer">
+    <div class="container">
+
+        
+        <div class="col-md-4 col-sm-6">
+            <h4>About us</h4>
+
+            <p>We offer expertise and consulting in data engineering, analytics and cloud computing.</p>
+
+            <hr class="hidden-md hidden-lg hidden-sm">
+
+        </div>
+        
+        
+
+        <div class="col-md-4 col-sm-6">
+
+            
+
+        </div>
+        
+
+        
+        <div class="col-md-4 col-sm-6">
+
+          <h4>Contact</h4>
+
+            <p class="text-uppercase"><strong>Canadian Data Guy Corp.</strong>
+        <br>Calgary, Canada
+        </p>
+      
+
+	    <a href="/contact" class="btn btn-small btn-template-main">Go to contact page</a>
+
+            <hr class="hidden-md hidden-lg hidden-sm">
+
+        </div>
+        
+
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+
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+
+
+
+
+
+<nav class="sharebuttons">
+    <span>:</span>
+    <ul>
+        
+        
+        
+        <li><a href="https://t.me/+12065656859" target="_blank"><svg height="50" viewBox="0 0 50 50" width="50" xmlns="http://www.w3.org/2000/svg"><g fill="none" fill-rule="evenodd"><path d="m25.4437935 0c13.5404221 0 24.5561688 10.9340909 24.5561688 24.3738636 0 13.4383117-11.0157467 24.3712663-24.5560065 24.3711039-4.0610389 0-8.0737013-1.0012987-11.624026-2.8982143l-12.97402593 4.1227273c-.06461039.0206169-.13084416.0305195-.19659091.0305195-.17159091 0-.33961039-.0681818-.46347403-.1946429-.17159091-.1746753-.23003247-.4311688-.15146104-.6631493l4.21801948-12.4423701c-2.20373376-3.724026-3.36704545-7.9790585-3.36704545-12.3259741 0-13.4397727 11.01688308-24.3738636 24.55844158-24.3738636zm-.0001624 5.07727273c-10.725974 0-19.45227269 8.65649347-19.45227269 19.29659087 0 4.0896104 1.28068182 8.0008117 3.70340909 11.3112013.125.1707793.15892857.3917208.09107143.5920455l-2.09805195 6.1897727 6.49918832-2.0659091c.064448-.0204545.1306818-.0305195.1967532-.0305195.125 0 .2491884.036039.3561689.1063312 3.1814935 2.0876624 6.8826298 3.1910714 10.7038961 3.1910714 10.7248376 0 19.4498376-8.6551948 19.4498376-19.2939935 0-10.6400974-8.7253246-19.29659087-19.45-19.29659087zm-6.6467532 7.85259737c.7225649 0 1.2425325.4384741 1.636039 1.3801948.1636363.3902598 1.7027597 4.1048702 1.788961 4.2772728.1050325.2060065.4300325.8439935.049513 1.6l-.0816559.1641233c-.1558441.3159091-.2902597.5886364-.5922078.9399351-.0969155.112013-.1956168.2308442-.2941558.349513-.2081169.250487-.4232143.5094156-.6217532.7058441-.0678572.0680195-.1993507.1998377-.2136364.2522728.000487 0 .0029221.0449675.0610389.1439935.4069806.6887987 3.375 4.7733766 7.2852273 6.4719156.1707792.0741883.7349026.3064935.7675325.3064935.0363636 0 .0970779-.0607143.1415584-.111526.3405844-.3849026 1.4428572-1.6733766 1.8069806-2.2146104.3220779-.4818182.7355519-.7271104 1.2277597-.7271104.3012987 0 .5845779.0926948.849026.1876624.6030564.2170398 3.8043369 1.7879312 4.3216328 2.0413055l.0686269.0335321c.4774351.2292208.8545455.4102273 1.0733766.7699676.3194805.5290584.1928572 1.9868506-.2873376 3.3211038-.609578 1.6939936-3.2894481 3.0826299-4.5089286 3.1907468l-.1788961.0170455c-.2819805.0277597-.6016234.0590909-1.000974.0590909l-.0944191-.0005452c-.9658464-.0112678-2.6415309-.2079278-6.0576913-1.5725068-3.6667208-1.4647727-7.2837663-4.6050325-10.1852273-8.8423701-.0501623-.0733766-.0847403-.124513-.1035714-.1496753-.7576299-.998539-2.5222403-3.624026-2.5222403-6.4047078 0-3.0896104 1.4788961-4.8464286 2.3530844-5.397565.8243507-.5196428 2.6887987-.7650974 3.0311689-.7795454.0351461-.0014814.0648513-.0027775.0900577-.0039117l.1047884-.0050457c.0548951-.0028933.0444193-.0028933.0863227-.0028933z" fill="#d5d5d5" class="will-change" fill-rule="nonzero"/><path d="m0 0h50v50h-50z"/></g></svg></a></li>
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+                      <img src="/img/cdg5.png" alt="About Me logo" class="visible-xs visible-sm" />
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+                            <li><a href="/databricks-customer-success-stories/">Databricks Customer Success Stories</a></li>
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+                            <li><a href="/blog/youtube/">Youtube</a></li>
+                            
+                            <li><a href="/blog/howtoprepareyourselftobebetteratdatainterviews">how to prepare for data interviews</a></li>
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+        <div id="heading-breadcrumbs">
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+            <div class="col-md-12">
+                <h1>About Me</h1>
+            </div>
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+    </div>
+</div>
+
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+        <div id="content">
+            
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+              <div class="container" id="about_me">
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+    <div class="row">
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+<section class="hero" id="home">
+
+  <div class="container">
+    <div class="row align-items-center">
+      <div class="col-lg-6">
+        <div class="hero_content">
+          <div class="hero_blob">
+          </div>
+          <div class="mb-5">
+            <span class="top-title pre-line"></span>
+            <h1 id="hello-im-soni">Hello, I&rsquo;m <strong>Soni</strong></h1>
+<h4 id="real-time-streaming-specialist--data-architect--data-automation-and-analytics-tech-writer">Real Time Streaming Specialist | Data Architect | Data, Automation And Analytics| Tech Writer</h4>
+<p>I am an end-to-end Full Stack Data Developer who can set up infrastructures, design the architecture, build data pipelines, and productionalize with DevOps. I have spent six years in AWS &amp; Amazon as a Data Architect/Engineer and have a proven record of taking multi-petabyte workloads to production while ensuring minimum operational burden.</p>
+<p>I also have hands-on experience in Streaming and Batch Analytics, including real-time applications. Having worked remotely for around 6+ years, I’ve learned to avoid the pitfalls of distributed team communication.</p>
+<p>My goal is to democratize knowledge and help remove the barrier of the hype around Big Data. I write on topics such as real-time data streaming, data architecture, salary negotiation, financial literacy, and more.</p>
+<p>In my free time, I love to travel so much so that in April 2022, I finished my 12-month-long road trip across Canada. Alright, now click on a few buttons and scroll through the pages to learn more about me and how I can help you. See you on the other side!</p>
+
+          </div>
+          <a type="button" class="btn btn-lg btn-primary btn-zoom"
+            href="https://canadiandataguy.com/"></a>
+        </div>
+      </div>
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+        <div class="hero_figure">
+          <img src="https://canadiandataguy.com/img/avatar.png" alt="hero-image" style='
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+      </div>
+    </div>
+  </div>
+</section>
+
+
+                
+
+<section class="section skill", id="skills">
+
+
+    <div class="container">
+        <div class="row align-items-center">
+            <div class="col-lg-6">
+                <div class="skill__thumb">
+                    <div class="skill__thumb_pattern">
+                        <img src="images/hero/figure-svg.svg" alt="">
+                    </div>
+                    <div class="skill__thumb_image">
+                        <img src="https://canadiandataguy.com/img/skills-small.jpg" alt="" style='
+                                        -webkit-mask: url(https://canadiandataguy.com/images/skill/skill-mask-svg.svg);
+                                        -webkit-mask-repeat: no-repeat;
+                                        -webkit-mask-size: contain;
+                                        -webkit-mask-position: left left;
+                                    '>
+                    </div>
+                </div>
+            </div>
+            <div class="col-lg-6">
+                <div class="skill__progress">
+                    <div class="skill__progress_heading mb-5">
+                        <span class="top-title pre-line"></span>
+                        <h2 id="what-is-my-expertise">What is my expertise?</h2>
+
+                    </div>
+                    
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Spark, Pyspark </span>
+                        <div class="progress-value float-right"><span>90</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:90%;" aria-valuemin="0"
+                                aria-valuemax="90"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Real Time Data Streaming (Delta, Kafka, Kinesis, Event Hub) </span>
+                        <div class="progress-value float-right"><span>90</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:90%;" aria-valuemin="0"
+                                aria-valuemax="90"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> SQL, Python </span>
+                        <div class="progress-value float-right"><span>90</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:90%;" aria-valuemin="0"
+                                aria-valuemax="90"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Databricks, Delta Live Tables </span>
+                        <div class="progress-value float-right"><span>85</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:85%;" aria-valuemin="0"
+                                aria-valuemax="85"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Database- Redshift, Snwoflake, Big Query, Oracle &amp; Postgres </span>
+                        <div class="progress-value float-right"><span>80</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:80%;" aria-valuemin="0"
+                                aria-valuemax="80"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Modern Data Stack (Data Build Tool, Dagster &amp; Metabase) </span>
+                        <div class="progress-value float-right"><span>70</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:70%;" aria-valuemin="0"
+                                aria-valuemax="70"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Continuous Integration &amp; Continuous Deployment ( Github Actions, Azure DevOps ) </span>
+                        <div class="progress-value float-right"><span>70</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:70%;" aria-valuemin="0"
+                                aria-valuemax="70"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Data Vizualization ( Tableau, Power Bi, Metabase ) </span>
+                        <div class="progress-value float-right"><span>70</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:70%;" aria-valuemin="0"
+                                aria-valuemax="70"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> No-SQL Databases ( Dynamo, Cosmos &amp; Mongo) </span>
+                        <div class="progress-value float-right"><span>60</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:60%;" aria-valuemin="0"
+                                aria-valuemax="60"></div>
+                        </div>
+                    </div>
+                    
+                    <div class="skill__progress_item">
+                        <span class="d-inline-block text-dark"> Terraform &amp; CDK </span>
+                        <div class="progress-value float-right"><span>50</span>%</div>
+                        <div class="progress">
+                            <div class="progress-bar" style="width:50%;" aria-valuemin="0"
+                                aria-valuemax="50"></div>
+                        </div>
+                    </div>
+                    
+                </div>
+            </div>
+        </div>
+    </div>
+</section>
+
+
+
+                
+
+<section class="section resume" id="resume">
+    <div class="resume__background"></div>
+    <div class="container">
+        <div class="row">
+            <div class="col-lg-6">
+                <div class="resume__heading">
+                    <div class="text-light">
+                        <span class="top-title pre-line"></span>
+                        <h2 id="heading"></h2>
+
+                    </div>
+
+                    <div class="btn-group nav mt-5">
+                        <a href="#experience" class="btn btn-primary active" data-toggle="tab">Experiences</a>
+                        <a href="#education" class="btn btn-primary" data-toggle="tab">Education &amp; Certifications</a>
+                    </div>
+                </div>
+            </div>
+            <div class="col-lg-6">
+                <div class="tab-content ">
+                    <div class="resume__education tab-pane active" id="experience">
+                        
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2021-2023 </span>
+                            <h4 id="specialist-data-architect--databricks">Specialist Data Architect | Databricks</h4>
+<ul>
+<li>Work on solving Streaming &amp; scaling challenges with Big Data across customers</li>
+<li>Author blogs with best practices and solution accelerators</li>
+<li>Enhanced productivity for Audantic by reducing their line of code by 66% and reduced their development time of Lake House by 86%.</li>
+<li>Significantly reduced carbon footprint for a customer and co-authored a blog post detailing design and implementation.</li>
+<li>Work with strategic customers to solve challenging technical problems, provide business value, guide product roadmap, and ensure success on the Databricks platform.</li>
+<li>Collaborate with teams at large on strategic programs to scale our organization, design &amp; build internal accelerators, and share best practices.</li>
+<li>Hire and mentor new talent</li>
+</ul>
+
+                        </div>
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2015-2021 </span>
+                            <h4 id="data-engineer-data-architect-amazon-aws">Data Engineer/ Data Architect| Amazon/ AWS</h4>
+<ul>
+<li>Built real time data processing platform and CI/CD pipelines with ACID properties while ensuring operational excellence</li>
+<li>Craft and support 50+ datasets by processing multiple TBs of data per day serving 600+ Analysts and Economists</li>
+<li>Responsible for building GDPR &amp; CCPA compliant data lake</li>
+<li>Strategize customer cloud adoption journey and leverage the power of the cloud to run big data analytics at scale</li>
+<li>Interact with customers and identify their pain points across the system and drive projects to remove them</li>
+<li>Work with customers as a trusted advisor to drive visibility to best practices, access to internal resources, expertise on the very latest features, and accountability for the AWS platform to help them achieve their business goals and objectives</li>
+<li>Migrated tables with huge volumes (100-350 TB) from Oracle to Redshift, by using massively parallel processing architecture which improved the availability of critical datasets by 96%</li>
+<li>Interacted with appropriate departments to develop and accomplish a road map to ensure that systems run smoothly in projected peak traffic.</li>
+</ul>
+
+                        </div>
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2014-2015 </span>
+                            <h4 id="etl--reporting-developer--zs-associates">ETL &amp; Reporting Developer | ZS Associates</h4>
+<ul>
+<li>Designed and developed a multi-country (23) data warehouse by
+transforming domain knowledge acquired from the client into a
+technical artifact.</li>
+<li>Solely responsible for data warehouse performance tuning and
+recognized for quickly diagnosing system issues</li>
+</ul>
+
+                        </div>
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2012-2014 </span>
+                            <h4 id="business-intelligence-reporting--tata-consultancy-services">Business Intelligence Reporting | Tata Consultancy Services</h4>
+<ul>
+<li>Developed Key Performance Indicators for business reports using SAP Business Objects to drive analytics</li>
+<li>Awarded with the LIREL honor (Leadership, Integrity, Respect for individual, Excellence, Learning &amp; sharing), the core 5 values of Tata Consultancy Services</li>
+</ul>
+
+                        </div>
+                        
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+                            <span class="pre-line text-primary"> Aug 2015- May 2017 </span>
+                            <h4 id="master-of-computing-science-in-big-data">Master of Computing Science in Big Data</h4>
+<p><strong>Simon Fraser University, Canada</strong>
+                        </div>
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2022 </span>
+                            <h4 id="databricks-developer">Databricks Developer</h4>
+
+                        </div>
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2021 </span>
+                            <h4 id="azure-fundamentals">Azure Fundamentals</h4>
+
+                        </div>
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2019 </span>
+                            <h4 id="aws-developer">AWS Developer</h4>
+
+                        </div>
+                        
+                        <div class="resume__education_item">
+                            <span class="pre-line text-primary"> 2018 </span>
+                            <h4 id="aws-solutions-architect">AWS Solutions Architect</h4>
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+                          <p><strong>Welcome! I am a <a href="https://app.igotanoffer.com/coaching/tech/jitesh/">Super Coach</a></strong> . I have worked at some of the biggest tech companies, including Databricks &amp; Amazon.  I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</p>
+<!-- raw HTML omitted -->
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+<h2 id="how-can-you-book-a-session-">How can you book a session ?</h2>
+<p>Please have a look at all the free content. Read the blog posts, watch the videos, and read the articles. If you are still interested in working with me, you can book a session with me.</p>
+<p>You can book me from <a href="(https://book.stripe.com/aEU2al4VXdVp6FG7st)">Stripe</a> or <a href="https://www.interviewquery.com/coaching">Interview Query</a> or <a href="https://app.igotanoffer.com/coaching/tech/jitesh/">I Got An Offer</a>.</p>
+<ul>
+<li><a href="https://book.stripe.com/aEU2al4VXdVp6FG7st">Book a 45 mins 1:1</a> introductory video call with me focused on jobs, careers, etc.</li>
+<li><a href="https://book.stripe.com/7sI8yJewx5oTe88000">Book a 1 hr 30 min</a> Coaching call focused mock interviews  and preparation.</li>
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+                              April 19, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</h2>
+<p>Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.</p>
+<p>The below checklist is not ordered, you should aim to check off as many items as you can.</p>
+<p><img src="https://cdn-images-1.medium.com/max/5200/0*cz6kE2uu4BUvfTo6.jpg" alt=""></p>
+<h2 id="beginners-best-practices-checklist-for-spark-streaming">Beginners best practices checklist for Spark Streaming:</h2>
+<ul>
+<li>
+<p><input disabled="" type="checkbox"> Choose a trigger interval over nothing at all because it helps control storage transaction api/Listing costs. This is because some Spark jobs have a component which requires a s3/adls listing operation. If our processing is very fast think &lt;1 sec, we will keep repeating these operations and lead to unintended costs. Example .trigger(processingTime=’5 seconds’)</p>
+</li>
+<li>
+<p><input disabled="" type="checkbox"> Use ADLS Gen2 on Azure over blob storage as it’s better suited for big data analytics workloads. <a href="https://medium.com/awesome-azure/azure-difference-between-azure-blob-storage-and-azure-data-lake-storage-comparison-azure-blob-vs-adls-gen2-81af5ef2a6e1">Read more on the differences here.</a></p>
+</li>
+<li>
+<p><input disabled="" type="checkbox"> Make sure the table partition strategy is chosen carefully and on low cardinality columns like date , region, country, etc. My rough rule of thumb says, if you have more than 100,000 partitions then you have over-partitioned your table. Date columns make a good partition column because they occur naturally. Example for a multinational e-commerce company which operates in 20 countries and wants to store 10 years of data. Once you partition by date &amp; country =( 365 * 10 ) * 20 = you will end up with 73,000 partitions.</p>
+</li>
+<li>
+<p><input disabled="" type="checkbox"> Name your streaming query so it is easily identifiable in the Spark UI Streaming tab.</p>
+</li>
+</ul>
+<p>.option(“queryName”, “IngestFromKafka”)</p>
+<pre><code>(input_stream
+   .select(col(&quot;eventId&quot;).alias(&quot;key&quot;), to_json(struct(col('action'), col('time'), col('processingTime'))).alias(&quot;value&quot;))
+   .writeStream
+   .format(&quot;kafka&quot;)
+   .option(&quot;kafka.bootstrap.servers&quot;, kafka_bootstrap_servers_plaintext )
+   .option(&quot;kafka.security.protocol&quot;, &quot;to_be_filled&quot;)
+   .option(&quot;checkpointLocation&quot;, checkpoint_location )
+   .option(&quot;topic&quot;, topic)
+   .option(&quot;queryName&quot;, &quot;IngestFromKafka&quot;)
+   .start()
+)
+
+
+spark.readStream.format(“kinesis”).**option(“streamName”, stream_name)
+**
+</code></pre>
+<ul>
+<li>
+<p><input disabled="" type="checkbox"> Each stream must have its own checkpoint; streams must never share checkpoints. Example, if you have 2 separate streams of different sources and data needs to be written to a single delta table. You should create 2 separate checkpoints and not share a common one. You can find an example with code <a href="https://canadiandataguy.medium.com/merge-multiple-spark-streams-into-a-delta-table-44301fd549bd">here</a>.</p>
+</li>
+<li>
+<p><input disabled="" type="checkbox"> Don’t run multiple streams on the same driver; if such requirements are there, please benchmark it by running the streams for a few days and watch for stability over driver-related issues. Multiplexing on the same cluster is generally not recommended.</p>
+</li>
+<li>
+<p><input disabled="" type="checkbox"> Partition size of data in memory should be between 100–200MB. Use Spark UI and alter maxFilesPerTrigger &amp; maxBytesPerTrigger to achieve these partition sizes of around 100–200 MB.</p>
+</li>
+<li>
+<p><input disabled="" type="checkbox"> Check if a sort merge join can be changed to Broadcast hash join. Only possible if the dataset being joined is small. The dataset being broadcasted should be around 100 MB. Increase auto-broadcast hash join threshold to 1gb if needed try a bigger instance family.</p>
+</li>
+</ul>
+<h2 id="advanced-best-practices-checklist-for-spark-streaming">Advanced best practices checklist for Spark Streaming:</h2>
+<ul>
+<li>
+<p>Establish a naming convention for your checkpoint: Over the course of the life of your table, you will end up having multiple checkpoints due to application upgrades, logic changes, etc. Give your checkpoint a meaningful name something which tells the following:</p>
+<ul>
+<li>Target table name</li>
+<li>Starting timestamp: When the checkpoint came into existence</li>
+<li>Example naming conventions can be :
+<ul>
+<li>Generic {table_location}/<em>checkpoints/</em>{target_table_name}_starting_timestamp{_actual_timestamp<a href="https://lablab.ai/event">}</a></li>
+<li>If source is Delta then use startingVersion {table_location}/<em>checkpoints/</em>{target_table_name}_startingVersion{_startingVersion<a href="https://lablab.ai/event">}</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li>
+<p>See Shuffle Spill (Disk) on Spark UI to be as minimum as possible. Ideally zero only shuffle read should be there. Shuffle spill disappears from UI if it’s zero.</p>
+</li>
+<li>
+<p>Use rocks DB , if there are stateful transformations.</p>
+</li>
+<li>
+<p>Prefer to Azure Event Hub using it it’s Kafka connector. For Azure EventHubs, the number of cores must be == to number of partitions. With Kafka connector it is different, as it can split Kafka partition into multiple Spark partitions, and this is one of the reasons to go with Kafka protocol on EventHubs.</p>
+</li>
+<li>
+<p>If there is state always have a watermark so it can clean itself. In case you need to have infinite state, recommend you to store that in a Delta table and zorder on necessary column so lookups are fast.</p>
+</li>
+<li>
+<p>At big scale, think close to Trillions of records in state store. If there is a deduplicate requirement, use delta merge approach over drop duplicate to avoid state store growing very large.</p>
+</li>
+<li>
+<p>Azure instance family choices:</p>
+<ul>
+<li>F-series for map-heavy streams — parsing, json deserialization, etc.</li>
+<li>Fsv2-series if doing multiple streams from the same source or need a little spill space.</li>
+<li>DS_v2-series for streams that join tables or do aggregations. Also for delta optimize (both bin-packing and Z-Ordering) scheduled jobs</li>
+<li>L series has direct attached SSD which helps Delta caching</li>
+</ul>
+</li>
+<li>
+<p>Don’t set the sql.shuffle.partitions too high — ideally they should be set to be equal to the total number of worker cores. You will need to clear the check point if it is not changing. It is because checkpoint has stored this information and is using that.</p>
+</li>
+</ul>
+<h2 id="references">References:</h2>
+<ol>
+<li>
+<p><a href="https://docs.microsoft.com/en-us/azure/databricks/structured-streaming/production">best practices from this page</a></p>
+</li>
+<li>
+<p><a href="https://www.youtube.com/watch?v=u2YItAN7TDg&amp;t=1974s">youtube video</a> with tips on how to scale at production</p>
+</li>
+</ol>
+<h3 id="footnote">Footnote:</h3>
+<p>Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website <a href="https://canadiandataguy.com">**CanadianDataGuy.com</a>** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.</p>
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+                              April 23, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h1 id="a-productive-life-how-to-parallelize-code-execution-in-python">A Productive Life: How to Parallelize Code Execution in Python</h1>
+<p>Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.</p>
+<p>In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version. We will explore 3 examples here:</p>
+<h2 id="example-1-asyncio-tasks--create_task">Example 1: Asyncio Tasks / create_task()</h2>
+<p>In asyncio, a task is a unit of work that is scheduled to run on the event loop. Tasks are created from coroutines, which are functions that are defined using the async def syntax and that can suspend their execution using the await keyword.</p>
+<p>To create a task, we use the asyncio.create_task() function, which takes a coroutine as its argument and returns a Task object. We can then schedule the task to run on the event loop using the await keyword.</p>
+<p>Here’s an example:</p>
+<pre><code>import asyncio
+
+async def function_which_will_run_in_parallel():
+    # Add what you want to do here
+    print('function_which_will_run_in_parallel completed')
+
+# Orchestrate function 
+async def main():
+    task = asyncio.create_task(function_which_will_run_in_parallel())
+    await task
+
+asyncio.run(main())
+</code></pre>
+<p>In this example, we define a simple function_which_will_run_in_parallel() that waits for one second and then prints a message. In the main() function, we create a Task object using asyncio.create_task() and pass it the function.</p>
+<p>We then await the completion of the task using await task. When we run the main() using asyncio.run(), the Task object is created and scheduled on the event loop, which runs the function_which_will_run_in_parallel() function asynchronously. Once the function_which_will_run_in_parallel() function is complete, the Task object is marked as done, and the program exits.</p>
+<p><img src="https://cdn-images-1.medium.com/max/9400/0*Bsp64aQg2c2IYu9R" alt="Photo by Sarah Dorweiler on Unsplash"></p>
+<h2 id="example-2-running-tasks-in-parallel">Example 2: Running Tasks in Parallel</h2>
+<p>In asyncio, we can run tasks in parallel using the asyncio.gather() function. This function takes one or more coroutines/functions as its arguments and returns a list of their results.</p>
+<p>Here’s an example:</p>
+<pre><code>import asyncio
+
+async def coroutine1():
+    await asyncio.sleep(1)
+    return 'Coroutine 1 completed'
+async def coroutine2():
+    await asyncio.sleep(2)
+    return 'Coroutine 2 completed'
+
+async def main():
+    results = await asyncio.gather(coroutine1(), coroutine2())
+    print(results)
+asyncio.run(main())
+</code></pre>
+<p>In this example, we define two coroutines, coroutine1() and coroutine2(), that wait for one and two seconds, respectively, before returning a message.</p>
+<p>In the main() coroutine function, we use the asyncio.gather() function to run the two coroutines in parallel. We pass coroutine1() and coroutine2() as its arguments and use await to wait for both coroutines to complete.</p>
+<p>When both coroutines are complete, the asyncio.gather() function returns a list of their results, which we print to the console.</p>
+<h2 id="example-3-running-tasks-in-parallel-with-a-loop">Example 3: Running tasks in parallel with a loop</h2>
+<p>In this example, we define an asynchronous coroutine function fetch() that uses the aiohttp library to download the contents of a given URL. We then define the main() coroutine function that creates a list of URLs to download and uses asyncio.create_task() to create a task for each URL. We then use asyncio.gather() to wait for all tasks to complete and return their results.</p>
+<p>The async with aiohttp.ClientSession() context manager is used to create a session object that can be reused across multiple requests, which can improve performance.</p>
+<p>When we run the main() coroutine using asyncio.run(), it concurrently downloads the web pages from the list of URLs, and prints the number of bytes downloaded from each URL.</p>
+<p>This is just a simple example, but it demonstrates how asyncio can be used to concurrently perform I/O-bound tasks such as web page downloads.</p>
+<pre><code>import asyncio
+import aiohttp
+
+async def fetch(session, url):
+    async with session.get(url) as response:
+        return await response.text()
+
+async def main():
+    urls = [
+        'https://example.com',
+        'https://google.com',
+        'https://facebook.com',
+        'https://twitter.com',
+        'https://linkedin.com',
+    ]
+
+    async with aiohttp.ClientSession() as session:
+        tasks = [asyncio.create_task(fetch(session, url)) for url in urls]
+
+        results = await asyncio.gather(*tasks)
+
+        for url, result in zip(urls, results):
+            print(f&quot;Downloaded {len(result)} bytes from {url}&quot;)
+
+asyncio.run(main())
+</code></pre>
+<h2 id="conclusion">Conclusion</h2>
+<p>Asyncio is a powerful framework for writing asynchronous code in Python, and with the new features introduced in Python 3.10, it has become even easier to run tasks in parallel.</p>
+<p>In this blog post, we learned how to create tasks using asyncio.create_task() and how to run tasks in parallel using `asyncio.gather()</p>
+<h2 id="footnote">Footnote:</h2>
+<p>Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website <a href="https://canadiandataguy.com">**CanadianDataGuy.com</a>** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.</p>
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+                <h1>How to Cut Your Data Processing Costs by 30% with Graviton</h1>
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+                              April 23, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h1 id="how-to-cut-your-data-processing-costs-by-30-with-graviton">How to Cut Your Data Processing Costs by 30% with Graviton</h1>
+<h2 id="what-is-aws-graviton-">What is AWS Graviton ?</h2>
+<p>AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</p>
+<p>With Graviton, you can enjoy lightning-fast data processing speeds while saving money on your infrastructure costs. Plus, Graviton is compatible with all your favorite tools and applications, so you can seamlessly integrate it into your existing workflow.</p>
+<p>Overall, AWS Graviton offers a flexible and cost-effective alternative to traditional x86-based processors, making it a popular choice for customers who are looking to optimize their cloud computing costs without sacrificing performance or reliability.</p>
+<h2 id="cost-savings">Cost Savings</h2>
+<p>If you look at the screenshot below, you will find Graviton cheaper than every other series.</p>
+<p>**Decipher instance name: c6g.xlarge: **C stands for compute series, 6 stands for a series number, g stands for Graviton, and xLarge means 4 vCPU.</p>
+<h3 id="compute-intensive-c-series"><strong>Compute Intensive (C Series)</strong></h3>
+<p>c6g.xlarge is 12.5% cheaper than the next cheapest instance.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/1*h-t7S2KmhX5fYKp1RXijdg.png" alt=""></p>
+<h3 id="general-purpose-m-series"><strong>General Purpose (M Series)</strong></h3>
+<p>m6g.xlarge is ~12.2% cheaper than the next cheapest instance.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/1*5xRyYgQp42pORNop-IydJA.png" alt=""></p>
+<h3 id="memory-intensive--r-series"><strong>Memory Intensive ( R Series)</strong></h3>
+<p>r6g.xlarge is ~12.5% cheaper than the next cheapest instance.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/1*fHxdfkY3kXB73nKobJi8Bw.png" alt=""></p>
+<h2 id="this-is-complicated-help-me-choose-">This is complicated. Help me choose ?</h2>
+<p>Let me break down the AWS instance series into simple parts. Think about how much memory you get per core, and the price increases as the memory increases.</p>
+<ul>
+<li>
+<p>Compute intensive C series provides 2GB memory per core.</p>
+</li>
+<li>
+<p>General purpose M series provides 4GB memory per core and is 13% more expensive than the C series.</p>
+</li>
+<li>
+<p>Memory-intensive R series provides 8 GB memory per core and is 30% more expensive than the M series. ~48% more expensive than the C series.</p>
+</li>
+</ul>
+<p>I recommend that customers start with general purpose, get a baseline runtime, and then try different series. The best way to gauge what instance family would work is to identify or categorize if the workload is compute-bound, memory-bound or network bound.</p>
+<h2 id="launch-of-new-graviton-3-series-in-2023">Launch of new Graviton 3 series in 2023</h2>
+<p>Here are some benefits of the new Graviton 3 series; the price is ~10% more expensive Graviton 2. However, it’s still cheaper than the M6 a instance.</p>
+<blockquote>
+<p>M6g ($ 0.154) &lt; M7g ($ 0.1632) &lt; M6a ( $0.1728 )</p>
+</blockquote>
+<p><img src="https://cdn-images-1.medium.com/max/2000/1*DwwMNsSfkCZsXZowaIilhA.png" alt="">
+<a href="https://aws.amazon.com/blogs/aws/new-graviton3-based-general-purpose-m7g-and-memory-optimized-r7g-amazon-ec2-instances/"><strong>New Graviton3-Based General Purpose (m7g) and Memory-Optimized (r7g) Amazon EC2 Instances | Amazon…</strong>
+*We’ve come a long way since the launch of the m1.small instance in 2006, adding instances with additional memory…*aws.amazon.com</a></p>
+<h2 id="conclusion">Conclusion</h2>
+<blockquote>
+<p>As you can see, the price saving is at least ~12%, and <a href="https://pages.awscloud.com/rs/112-TZM-766/images/2020_0501-CMP_Slide-Deck.pdf">AWS claims 40% better price performance</a> due to faster processors. Thus, in reality, you should be able to save 12–40% cost savings at least. In my real-world experience, I have seen 20–30% cost savings.</p>
+</blockquote>
+<h2 id="footnote">Footnote:</h2>
+<p>Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website <a href="https://canadiandataguy.com/">**CanadianDataGuy.com</a>** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.</p>
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+                <h1>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</h1>
+            </div>
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+                              June 6, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</h2>
+<p>Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.</p>
+<p><img src="https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB" alt="Photo by Andrew Schultz on Unsplash"></p>
+<h2 id="spark-streaming--foreachbatch">Spark Streaming &amp; foreachBatch</h2>
+<p>Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available. This can be very useful for applications that need to respond to changes in data in real time.</p>
+<p>One of the features of Spark Streaming is the foreachBatch() method. This method allows you to apply a custom function to each batch of data as it arrives. This can be useful for a variety of tasks, such as:</p>
+<ul>
+<li>
+<p>Filtering data</p>
+</li>
+<li>
+<p>Transforming data</p>
+</li>
+<li>
+<p>Writing data to a database</p>
+</li>
+<li>
+<p>Sending data to an external system</p>
+</li>
+</ul>
+<p>The foreachBatch() method is a powerful tool that can be used to extend the capabilities of Spark Streaming. In this blog post, we will take a closer look at how to use foreachBatch().</p>
+<h3 id="introducing-foreachbatch">Introducing foreachBatch:</h3>
+<p>foreachBatch is a method provided by Spark Streaming that allows developers to apply arbitrary operations on the output of a streaming query. It acts as a bridge between the streaming world and the structured world of DataFrames and Datasets. This means that we can leverage the rich functionality of Spark&rsquo;s structured APIs to process real-time data efficiently.</p>
+<h3 id="the-power-of-foreachbatch">The Power of foreachBatch:</h3>
+<p>The foreachBatch operation enables developers to perform batch-like operations on streaming data. Instead of processing each individual record, which can be inefficient, foreachBatch processes the data in micro-batches, offering better performance and resource utilization. This approach also provides the flexibility to leverage the full power of Spark&rsquo;s DataFrames, including various transformations and aggregations, to perform complex computations on streaming data.</p>
+<h3 id="implementing-foreachbatch">Implementing foreachBatch:</h3>
+<p>To use foreachBatch, you need to define a function that takes two arguments: the batch identifier and the DataFrame representing the micro-batch of data. Inside this function, you can apply any transformations or computations required on the streaming data. You can use Spark&rsquo;s SQL, DataFrame, or Dataset APIs to manipulate the data and write the results to any external systems, such as databases or file systems.</p>
+<h3 id="benefits-of-foreachbatch">Benefits of foreachBatch:</h3>
+<ol>
+<li>
+<p>Performance: foreachBatch allows batch-like processing on streaming data, resulting in improved performance compared to processing individual records.</p>
+</li>
+<li>
+<p>Flexibility: Leveraging Spark’s DataFrames and Datasets provides a wide range of transformations and aggregations to handle complex computations easily.</p>
+</li>
+<li>
+<p>Scalability: Spark Streaming inherently provides scalability and fault-tolerance, and foreachBatch seamlessly integrates with these capabilities.</p>
+</li>
+<li>
+<p>Ecosystem Integration: The results from foreachBatch can be easily written to external systems such as databases, file systems, or streaming analytics platforms.</p>
+</li>
+</ol>
+<h2 id="code--setup">Code &amp; Setup</h2>
+<p>Here’s how we can use foreachBatch to achieve this:</p>
+<p>∘ Define parameters for the job
+∘ Create a Streaming source
+∘ Define custom processing logic and parameters
+∘ Create an instance of forEachBatchProcessor Class with the parameters
+∘ Orchestrate the job
+∘ Look at the output table
+∘ Clean Up</p>
+<h3 id="define-parameters-for-the-job">Define parameters for the job</h3>
+<pre><code>target_table_name = &quot;for_each_batch_paramerterize&quot;
+check_point_location = f&quot;/tmp/delta/{target_table_name}/_checkpoints/&quot;
+dedupe_colum_name =&quot;hash&quot;
+</code></pre>
+<h3 id="create-a-streaming-source">Create a Streaming source</h3>
+<p>We will create a synthetic dataset.</p>
+<pre><code>generated_df = (
+     spark.readStream
+        .format(&quot;rate&quot;)
+        .option(&quot;numPartitions&quot;, 4)
+        .option(&quot;rowsPerSecond&quot;, 1 * 1000)
+        .load()
+        .selectExpr(
+          &quot;md5( CAST (value AS STRING) ) as md5&quot;
+          ,&quot;value&quot;
+          ,&quot;value%1000000 as hash&quot;
+        )
+)
+</code></pre>
+<h3 id="define-custom-processing-logic-and-parameters">Define custom processing logic and parameters</h3>
+<pre><code>class forEachBatchProcessor:
+    def __init__(self, dedupe_column: str, filter_criteria:str, passed_value: int):
+        self.dedupe_column = dedupe_column
+        self.filter_criteria = filter_criteria
+        self.passed_value = passed_value
+
+    def print_attributes(self):
+        attributes = vars(self)
+        print(
+            &quot;\n&quot;.join([f&quot;{attr}: {value}&quot; for attr, value in attributes.items()])
+        )
+
+    def make_changes_using_the_micro_batch(self, microBatchOutputDF, batchId: int):
+        self.print_attributes()
+        print(f&quot;Processing batchId: {batchId}&quot;)
+
+        # Your processing logic using the parameter
+        view_name = f&quot;updates_for_batchId_{batchId}&quot;
+        microBatchOutputDF.createOrReplaceTempView(view_name)
+        sql_logic = f&quot;&quot;&quot;
+            SELECT 
+                * 
+                ,{self.passed_value} as passed_value
+                ,{batchId} as batch_id
+            FROM (
+              SELECT *
+                ,rank() over(partition by {self.dedupe_column} order by value desc) as dedupe
+              FROM {view_name}
+              WHERE  
+                {self.filter_criteria}
+              )
+            WHERE 
+                dedupe =1 
+        &quot;&quot;&quot;
+        print(f&quot;Processing sql_logic: {sql_logic}&quot;)
+        to_be_written_df = microBatchOutputDF.sparkSession.sql(sql_logic).drop(&quot;dedupe&quot;)
+        to_be_written_df.write.mode(&quot;append&quot;).saveAsTable(target_table_name)
+</code></pre>
+<h3 id="create-an-instance-of-foreachbatchprocessor-class-with-the-parameters">Create an instance of forEachBatchProcessor Class with the parameters</h3>
+<pre><code>instantiateForEachBatchProcessor = forEachBatchProcessor(
+            dedupe_column = dedupe_colum_name,
+            filter_criteria = &quot;1=1&quot;,
+            passed_value = 3
+        )
+</code></pre>
+<h3 id="orchestrate-the-job">Orchestrate the job</h3>
+<pre><code>(
+  generated_df
+ .writeStream
+ #.trigger(availableNow=True) 
+ .trigger(processingTime='10 seconds')
+ .option(&quot;checkpointLocation&quot;, check_point_location)
+ .option(&quot;queryName&quot;, &quot;ParameterizeForEachBatch&quot;)
+ .foreachBatch(instantiateForEachBatchProcessor.make_changes_using_the_micro_batch)
+ .start()
+)
+</code></pre>
+<h3 id="look-at-the-output-table">Look at the output table</h3>
+<pre><code>display(spark.read.table(target_table_name))
+</code></pre>
+<h3 id="clean-up">Clean Up</h3>
+<pre><code>spark.sql(f&quot;&quot;&quot;
+          DROP TABLE IF EXISTS {target_table_name}
+          &quot;&quot;&quot;)
+dbutils.fs.rm(check_point_location,True)
+</code></pre>
+<h2 id="conclusion">Conclusion:</h2>
+<p>Apache Spark Streaming’s foreachBatch operation is a powerful tool for simplifying real-time data processing. By bridging the gap between the streaming and structured worlds, it enables developers to perform batch-like operations on streaming data efficiently. Leveraging the rich functionality of Spark&rsquo;s DataFrames, foreachBatch empowers users to process and analyze real-time data with ease. Whether you&rsquo;re performing aggregations, transformations, or writing data to external systems, foreachBatch offers a flexible and scalable solution for real-time streaming applications.</p>
+<h2 id="footnote">Footnote:</h2>
+<p>Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website <a href="https://canadiandataguy.com/">**CanadianDataGuy.com</a>** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.</p>
+<h3 id="download-the-codehttpsgithubcomjiteshsonimaterial_for_public_consumptionblobmainnotebooksspark20streaming20with20custom20parameters20for20each20batchpy"><a href="https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/Spark%20Streaming%20With%20Custom%20Parameters%20For%20Each%20Batch.py">Download the code</a></h3>
+<blockquote>
+<p>I want to emphasize that my blog posts are designed to be practical resources that you can readily use in your own environments. By providing code examples with careful attention to best practices, I aim to simplify the implementation of real-time data processing solutions. I encourage you to explore the blog, copy the code snippets, and adapt them to your specific needs. With these resources, you’ll be equipped to accelerate your development process and unlock the power of Spark Streaming. Dive in, leverage the code, and start building your real-time data processing pipelines with confidence!
+Go Build!
+Canadian Data Guy!</p>
+</blockquote>
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+                              September 12, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</h2>
+<p>In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial? And how can we optimize it to ensure our databases aren’t just fast, but consistently reliable for 99% of our users? Join us as we demystify P99 latency and delve into strategies to fine-tune it in Databricks SQL.</p>
+<p><img src="https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ" alt="Photo by Håkon Sataøen on Unsplash"></p>
+<h2 id="what-is-p99-latency">What is P99 Latency?</h2>
+<p>The P99 latency (also known as the 99th percentile latency) for SQL queries is a metric used to measure the response time of SQL queries in a database system. It represents the latency at which 99% of the queries have a response time less than or equal to the P99 latency value, and 1% have a response time greater than the P99 latency value.</p>
+<blockquote>
+<p>In other words, P99 latency helps you understand the worst-case response time for most of your SQL queries. It is often used to evaluate the performance of a database system and ensure that the vast majority of queries are responding quickly, even under heavy load.</p>
+</blockquote>
+<p>For example, if the P99 latency for a particular SQL query is 100 milliseconds, it means that 99% of the time, that query will execute in 100 milliseconds or less. However, in 1% of cases, it may take longer than 100 milliseconds.</p>
+<h3 id="to-achieve-a-p99-latency-of-5-seconds-in-databricks-sql-you-can-follow-these-steps">To achieve a P99 latency of 5 seconds in Databricks SQL, you can follow these steps:</h3>
+<ol>
+<li>
+<p>Optimize the table hourly by applying a WHERE filter on the timestamp.</p>
+</li>
+<li>
+<p>Use at least a Medium instance of DBSQL. Larger instances provide better query performance if queries rely on caching. Caching is done at the instance level; if you have N small instances, then you will have N copies of Cached data occupying memory.</p>
+</li>
+<li>
+<p>Set spark.databricks.delta.stalenessLimit to x minutes per business requirements<a href="http://spark.databricks.delta.stalenessLimit">. This parameter defines how many minutes of old data are acceptable.</a></p>
+</li>
+<li>
+<p>Ensure that the columns used in the WHERE clause are part of the first 32 columns.</p>
+</li>
+<li>
+<p>Run VACUUM tables at daily or weekly cadence.</p>
+</li>
+<li>
+<p>Once you have achieved your P99 latency with the above suggestions, try DBSQL Serverless and monitor P99 latency. Serverless DB Sql would give you faster startup times and more performance because of faster auto-scaling capabilities.</p>
+</li>
+</ol>
+<blockquote>
+<p>If you need to power an application with minimum latency, it’s possible to pre-cache data using specific commands. However, it’s important to take caution while using these commands as misconfiguration can cause more harm than good. It’s recommended to reach out to me or your Databricks representative for the command and have the scenario validated with Databricks before implementing it. I have not included the command in the blog to avoid any mishaps.</p>
+</blockquote>
+<h2 id="reference">Reference:</h2>
+<ol>
+<li>spark.databricks.delta.stalenessLimit <a href="https://docs.databricks.com/en/delta/best-practices.html#manage-data-recency">https://docs.databricks.com/en/delta/best-practices.html#manage-data-recency</a></li>
+</ol>
+<!-- raw HTML omitted -->
+<p><a href="https://www.youtube.com/watch?v=rJDkfRPUebw&amp;t=629s">3. https://www.youtube.com/watch?v=rJDkfRPUebw&amp;t=629s</a></p>
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+                <h1>Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</h1>
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+                              September 15, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="databricks-sql-dashboards-guide-tips-and-tricks-to-master-them">Databricks SQL Dashboards Guide: Tips and Tricks to Master Them</h2>
+<p>Welcome to the world of Databricks SQL Dashboards! You&rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.</p>
+<p><img src="https://cdn-images-1.medium.com/max/10000/0*lFrzWG4v-HT_emCP" alt="Photo by Romain Gal on Unsplash"></p>
+<h2 id="1-getting-started-with-viewing-and-organizing-dashboards">1. Getting Started with Viewing and Organizing Dashboards:</h2>
+<ul>
+<li>
+<p>Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar. By default, your dashboards will appear in the Home folder. Alternatively, click on “Dashboards” in the sidebar.</p>
+</li>
+<li>
+<p>Organizing Dashboards: They are sorted in reverse chronological order, but you can reorder them by clicking column headings. Starting July 10, 2023, Databricks will migrate all SQL content to the workspace browser, so ensure your dashboards are in order!</p>
+</li>
+</ul>
+<h2 id="2-tags-are-your-friend">2. Tags are your friend</h2>
+<ul>
+<li>
+<p>Organization: Tags allow users to categorize and organize their SQL objects, such as queries, dashboards, and visualizations. This makes finding and managing these objects easier, especially in large environments. Some good tag examples are customers, departments, projects, environments, etc.</p>
+</li>
+<li>
+<p>Access Control: Tags can be used in conjunction with access control policies. By tagging SQL objects, administrators can define fine-grained access controls based on these tags, ensuring that only authorized users can access or modify specific resources.</p>
+</li>
+<li>
+<p>Cost Allocation: Databricks allow you to track cloud costs associated with running queries. By tagging SQL queries or jobs, organizations can allocate costs to specific departments, projects, or teams, providing better visibility into resource consumption.</p>
+</li>
+</ul>
+<h2 id="3-cloning-replicating-success">3. Cloning: Replicating Success:</h2>
+<ul>
+<li>If you’ve created a dashboard you’re particularly proud of, clone it! Ensure you have the necessary permissions; thenew dashboard will list you as its owner. Note: Sharing settings, alerts, and subscriptions won’t be copied to the new dashboard.</li>
+</ul>
+<h2 id="4-harnessing-the-power-of-query-parameters">4. Harnessing the Power of Query Parameters:</h2>
+<ul>
+<li>
+<p>Parameter Types: Your queries can use parameters or static values. Depending on your needs, visualizations based on parameterized queries can be set to use widget parameters, dashboard parameters, or static values.</p>
+</li>
+<li>
+<p>Multiple Visualizations: One of the strengths of Databricks is that dashboard parameters can apply to multiple visualizations, offering a cohesive data representation.</p>
+</li>
+</ul>
+<h2 id="5-editing-and-customizing-your-dashboard">5. Editing and Customizing Your Dashboard:</h2>
+<ul>
+<li>
+<p>Making Changes: Dashboards can be edited to add or remove content, edit visualizations, and apply filters. Dive in and make it truly your own!</p>
+</li>
+<li>
+<p>Colour Customization: Stand out with unique dashboard colours. Create your own color palettes or use the default ones to make your dashboard visually appealing.</p>
+</li>
+</ul>
+<h2 id="6-keeping-your-data-fresh-with-refreshes">6. Keeping Your Data Fresh with Refreshes:</h2>
+<ul>
+<li>
+<p>Why Refresh?: Dashboards fetch data from a cache. To ensure up-to-date data representation, it’s crucial to refresh them periodically.</p>
+</li>
+<li>
+<p>Manual vs. Automatic: Depending on your needs, dashboards can be refreshed manually or set to refresh automatically on a schedule.</p>
+</li>
+</ul>
+<h2 id="7-stay-updated-with-dashboard-subscriptions">7. Stay Updated with Dashboard Subscriptions:</h2>
+<ul>
+<li>
+<p>Snapshot Subscriptions: Subscribe to dashboard snapshots and receive periodic email updates. This is especially useful for keeping stakeholders in the loop.</p>
+</li>
+<li>
+<p>File Size Limit: Remember there’s a 6 MB file size limit for email attachments. If your dashboard is data-heavy, subscribers will receive a link to the refreshed dashboard instead.</p>
+</li>
+</ul>
+<h2 id="8-managing-and-optimizing-dashboards">8. Managing and Optimizing Dashboards:</h2>
+<ul>
+<li>
+<p>Download, Trash, Restore: If needed, dashboards can be downloaded as PDFs, moved to Trash, or even restored.</p>
+</li>
+<li>
+<p>Admin Privileges: If you’re a workspace admin user, you can access an admin view to oversee all dashboards and manage permissions effectively.</p>
+</li>
+<li>
+<p>Transferring Ownership: Need to hand over a dashboard to another team member? No problem! Ownership can be easily transferred.</p>
+</li>
+</ul>
+<p>In conclusion, Databricks SQL dashboards offer a versatile data visualization and analysis platform. With this step-by-step guide, you’re well on your way to mastering the art of creating, managing, and optimizing your dashboards. Dive in and explore the world of data with Databricks!</p>
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+                              September 30, 2023
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+                        <div id="post-content">
+                          <h2 id="solving-delta-table-concurrency-issues">Solving Delta Table Concurrency Issues</h2>
+<p>Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as <code>ConcurrentAppendException</code>, <code>ConcurrentDeleteReadException,</code> and <code>ConcurrentDeleteDeleteException.</code> In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8" alt=""></p>
+<h2 id="why-do-these-issues-happen">Why Do These Issues Happen?</h2>
+<ul>
+<li>
+<p>Concurrent Append Exception (<code>ConcurrentAppendException</code>):**
+This error happens when another operation is adding files to the same section (or any section in a table without partitions) that your operation is reading from. These file additions can happen due to INSERT, DELETE, UPDATE, or MERGE operations. By default, with the WriteSerializable isolation level, adding files without checking any data (known as blind INSERT operations) won’t cause any issues with any operation, even if they are working on the same section (or any section in a table without partitions). However, if the isolation level is changed to Serializable, then these blind additions may cause conflicts. This error is commonly seen during simultaneous DELETE, UPDATE, or MERGE operations. Even though these operations might be updating different sections, a conflict can occur if one operation is reading the same section that another operation is updating at the same time.</p>
+</li>
+<li>
+<p>Concurrent Delete Read Exception:
+It occurs when a transaction is trying to read a file that is being deleted by another transaction. This is to ensure that a transaction does not read data that is in the process of being deleted.</p>
+</li>
+<li>
+<p>Concurrent Delete Delete Exception:
+— Occurs when two transactions are trying to delete the same file.
+— Delta Lake ensures that a file is not deleted more than once.</p>
+</li>
+</ul>
+<h2 id="understanding-isolation-levels-serializable-vs-writeserializable">Understanding Isolation Levels: Serializable vs. WriteSerializable</h2>
+<p>Isolation levels in a database control how much transactions are protected from each other’s changes. Delta Lake on Databricks offers two such levels: Serializable and WriteSerializable.</p>
+<p><strong>1. Serializable:</strong>
+— This is the highest level of isolation.
+— It ensures that all write and read operations are done in a specific order, just like how they appear in the table’s history.
+— This means operations are carried out one by one, maintaining the order and ensuring the final result is as expected.</p>
+<p><strong>2. WriteSerializable (Default):</strong>
+— This level is a bit more relaxed compared to Serializable.
+— It guarantees order only for write operations, not for reads.
+— Even though it’s more relaxed, it’s still more strict than the Snapshot isolation level.
+— This level is used by default as it offers a good mix of data consistency and availability for most operations.</p>
+<h2 id="solution-1-setting-the-isolation-level">Solution 1: Setting the Isolation Level:</h2>
+<ul>
+<li>
+<p>Use the <code>ALTER TABLE</code> command to set the isolation level to <code>Serializable</code> or <code>WriteSerializable</code>.</p>
+<p>ALTER TABLE <!-- raw HTML omitted --> SET TBLPROPERTIES (&lsquo;delta.isolationLevel&rsquo; = &lsquo;WriteSerializable&rsquo;)</p>
+</li>
+</ul>
+<h2 id="solution-2-avoiding-conflicts-using-partitioning-and-disjoint-command-conditions">Solution 2: Avoiding Conflicts Using Partitioning and Disjoint Command Conditions</h2>
+<p>When working with tables, sometimes two operations can clash or conflict, especially if they are working on the same set of files. This can cause problems and errors. But, there’s a way to avoid this! You can organize or partition your table based on certain columns that are often used in operations. This way, different operations work on different parts of the table, preventing them from clashing.</p>
+<p>For example, imagine two commands — one is updating the table for dates after January 1, 2010, and another is deleting from the table for dates before January 1, 2010. These two can clash if the table is not organized by date, as both might try to change the same files. But if you partition the table by date, these operations won’t conflict, making things smooth and error-free.</p>
+<p>However, be careful while choosing the column for partitioning. If you choose a column that has a lot of unique values, it can create a large number of subdirectories. This can lead to other issues, affecting the performance of operations on the table.</p>
+<p>By using these strategies and understanding the insights from Databricks regarding isolation levels, row-level concurrency, and write conflicts, you can make your Delta operations more robust, reliable, and efficient.</p>
+<h2 id="solution-3-code-block-with-exponential-retry">Solution 3: Code block with exponential retry</h2>
+<p>The Python code below offers a robust solution to address this challenge. It is designed to manage concurrent write operations to a Delta table or path by intelligently retrying the operation in the event of specific concurrent exceptions. Streaming_write_with_concurrent_retry takes parameters such as the data stream, maximum attempts, and others to provide flexibility and control. It employs a while loop to attempt the write operation continuously and waits for its completion. In case of concurrent exceptions, it increments the attempt counter and calculates the sleep time using an exponential backoff strategy before retrying the operation. This approach ensures that the write operation is eventually successful, providing reliability and efficiency in handling concurrent operations on Delta tables. Explore the code below to understand its workings and integrate it into your projects to enhance concurrent operations handling.</p>
+<pre><code>from datetime import datetime
+from time import sleep
+from delta.exceptions import (
+    ConcurrentAppendException,
+    ConcurrentDeleteReadException,
+    ConcurrentDeleteDeleteException,
+)
+import math
+
+
+def streaming_write_with_concurrent_retry(
+    stream, max_attempts=3, indefinite=False, table=None, path=None
+):
+    &quot;&quot;&quot;
+    Handles concurrent write operations to a Delta table or path by retrying the operation
+    in case of specific concurrent exceptions.
+
+    :param stream: The data stream to be written.
+    :param max_attempts: The maximum number of retry attempts. Default is 3.
+    :param indefinite: If True, will keep retrying indefinitely. Default is False.
+    :param table: The Delta table to write to.
+    :param path: The path to write to.
+    :return: The result of writer.awaitTermination().
+    &quot;&quot;&quot;
+
+    attempt = 0  # Initialize attempt counter
+
+    while True:
+        try:
+            # Choose the writer based on whether table or path is provided
+            if table:
+                writer = stream.table(table)
+            elif path:
+                writer = stream.start(path)
+            else:
+                writer = stream.start()
+
+            # Attempt to write and wait for termination
+            return writer.awaitTermination()
+
+        # Handle concurrent exceptions
+        except (
+            ConcurrentAppendException,
+            ConcurrentDeleteReadException,
+            ConcurrentDeleteDeleteException,
+        ) as e:
+
+            # Increment attempt counter
+            attempt += 1
+
+            # If indefinite is False and attempts have reached max_attempts, raise the exception
+            if not indefinite and attempt &gt;= max_attempts:
+                raise e from None
+
+            # Calculate sleep time using exponential backoff strategy
+            sleep_time = min(120, math.pow(2, attempt))
+
+            # Sleep for the calculated time before retrying
+            sleep(sleep_time)
+</code></pre>
+<h3 id="solution-4-row-level-concurrency-advanced-feature">Solution 4: Row-Level Concurrency (Advanced Feature)?</h3>
+<ul>
+<li>
+<p>Reduces conflicts between concurrent write operations by detecting changes at the row level.</p>
+</li>
+<li>
+<p>Automatically resolves competing changes in concurrent writes that update or delete different rows in the same data file.</p>
+</li>
+</ul>
+<blockquote>
+<p>Available only on Delta tables with deletion vectors enabled and on Photon-enabled compute running Databricks Runtime 14.0 and above.</p>
+</blockquote>
+<h3 id="reference">Reference</h3>
+<p><a href="https://docs.databricks.com/en/optimizations/isolation-level.html"><strong>Isolation levels and write conflicts on Databricks</strong>
+*Learn about the isolation levels and potential conflicts when performing concurrent transactions on tables on…*docs.databricks.com</a></p>
+<h2 id="thank-you-for-reading">Thank You for Reading!</h2>
+<p>I hope you found this article helpful and informative. If you enjoyed this post, please consider giving it a clap 👏 and sharing it with your network. Your support is greatly appreciated!</p>
+<p>— <a href="https://canadiandataguy.com/">**CanadianDataGuy</a>**</p>
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+                              December 3, 2023
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+                          </p>
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+                        <div id="post-content">
+                          <h2 id="solving-delta-table-concurrency-issues">Solving Delta Table Concurrency Issues</h2>
+<p>Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as <code>ConcurrentAppendException</code>, <code>ConcurrentDeleteReadException,</code> and <code>ConcurrentDeleteDeleteException.</code> In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8" alt=""></p>
+<h2 id="why-do-these-issues-happen">Why Do These Issues Happen?</h2>
+<ul>
+<li>
+<p>Concurrent Append Exception (<code>ConcurrentAppendException</code>):**
+This error happens when another operation is adding files to the same section (or any section in a table without partitions) that your operation is reading from. These file additions can happen due to INSERT, DELETE, UPDATE, or MERGE operations. By default, with the WriteSerializable isolation level, adding files without checking any data (known as blind INSERT operations) won’t cause any issues with any operation, even if they are working on the same section (or any section in a table without partitions). However, if the isolation level is changed to Serializable, then these blind additions may cause conflicts. This error is commonly seen during simultaneous DELETE, UPDATE, or MERGE operations. Even though these operations might be updating different sections, a conflict can occur if one operation is reading the same section that another operation is updating at the same time.</p>
+</li>
+<li>
+<p>Concurrent Delete Read Exception:
+It occurs when a transaction is trying to read a file that is being deleted by another transaction. This is to ensure that a transaction does not read data that is in the process of being deleted.</p>
+</li>
+<li>
+<p>Concurrent Delete Delete Exception:
+— Occurs when two transactions are trying to delete the same file.
+— Delta Lake ensures that a file is not deleted more than once.</p>
+</li>
+</ul>
+<h2 id="understanding-isolation-levels-serializable-vs-writeserializable">Understanding Isolation Levels: Serializable vs. WriteSerializable</h2>
+<p>Isolation levels in a database control how much transactions are protected from each other’s changes. Delta Lake on Databricks offers two such levels: Serializable and WriteSerializable.</p>
+<p><strong>1. Serializable:</strong>
+— This is the highest level of isolation.
+— It ensures that all write and read operations are done in a specific order, just like how they appear in the table’s history.
+— This means operations are carried out one by one, maintaining the order and ensuring the final result is as expected.</p>
+<p><strong>2. WriteSerializable (Default):</strong>
+— This level is a bit more relaxed compared to Serializable.
+— It guarantees order only for write operations, not for reads.
+— Even though it’s more relaxed, it’s still more strict than the Snapshot isolation level.
+— This level is used by default as it offers a good mix of data consistency and availability for most operations.</p>
+<h2 id="solution-1-setting-the-isolation-level">Solution 1: Setting the Isolation Level:</h2>
+<ul>
+<li>
+<p>Use the <code>ALTER TABLE</code> command to set the isolation level to <code>Serializable</code> or <code>WriteSerializable</code>.</p>
+<p>ALTER TABLE <!-- raw HTML omitted --> SET TBLPROPERTIES (&lsquo;delta.isolationLevel&rsquo; = &lsquo;WriteSerializable&rsquo;)</p>
+</li>
+</ul>
+<h2 id="solution-2-avoiding-conflicts-using-partitioning-and-disjoint-command-conditions">Solution 2: Avoiding Conflicts Using Partitioning and Disjoint Command Conditions</h2>
+<p>When working with tables, sometimes two operations can clash or conflict, especially if they are working on the same set of files. This can cause problems and errors. But, there’s a way to avoid this! You can organize or partition your table based on certain columns that are often used in operations. This way, different operations work on different parts of the table, preventing them from clashing.</p>
+<p>For example, imagine two commands — one is updating the table for dates after January 1, 2010, and another is deleting from the table for dates before January 1, 2010. These two can clash if the table is not organized by date, as both might try to change the same files. But if you partition the table by date, these operations won’t conflict, making things smooth and error-free.</p>
+<p>However, be careful while choosing the column for partitioning. If you choose a column that has a lot of unique values, it can create a large number of subdirectories. This can lead to other issues, affecting the performance of operations on the table.</p>
+<p>By using these strategies and understanding the insights from Databricks regarding isolation levels, row-level concurrency, and write conflicts, you can make your Delta operations more robust, reliable, and efficient.</p>
+<h2 id="solution-3-code-block-with-exponential-retry">Solution 3: Code block with exponential retry</h2>
+<p>The Python code below offers a robust solution to address this challenge. It is designed to manage concurrent write operations to a Delta table or path by intelligently retrying the operation in the event of specific concurrent exceptions. Streaming_write_with_concurrent_retry takes parameters such as the data stream, maximum attempts, and others to provide flexibility and control. It employs a while loop to attempt the write operation continuously and waits for its completion. In case of concurrent exceptions, it increments the attempt counter and calculates the sleep time using an exponential backoff strategy before retrying the operation. This approach ensures that the write operation is eventually successful, providing reliability and efficiency in handling concurrent operations on Delta tables. Explore the code below to understand its workings and integrate it into your projects to enhance concurrent operations handling.</p>
+<pre><code>from datetime import datetime
+from time import sleep
+from delta.exceptions import (
+    ConcurrentAppendException,
+    ConcurrentDeleteReadException,
+    ConcurrentDeleteDeleteException,
+)
+import math
+
+
+def streaming_write_with_concurrent_retry(
+    stream, max_attempts=3, indefinite=False, table=None, path=None
+):
+    &quot;&quot;&quot;
+    Handles concurrent write operations to a Delta table or path by retrying the operation
+    in case of specific concurrent exceptions.
+
+    :param stream: The data stream to be written.
+    :param max_attempts: The maximum number of retry attempts. Default is 3.
+    :param indefinite: If True, will keep retrying indefinitely. Default is False.
+    :param table: The Delta table to write to.
+    :param path: The path to write to.
+    :return: The result of writer.awaitTermination().
+    &quot;&quot;&quot;
+
+    attempt = 0  # Initialize attempt counter
+
+    while True:
+        try:
+            # Choose the writer based on whether table or path is provided
+            if table:
+                writer = stream.table(table)
+            elif path:
+                writer = stream.start(path)
+            else:
+                writer = stream.start()
+
+            # Attempt to write and wait for termination
+            return writer.awaitTermination()
+
+        # Handle concurrent exceptions
+        except (
+            ConcurrentAppendException,
+            ConcurrentDeleteReadException,
+            ConcurrentDeleteDeleteException,
+        ) as e:
+
+            # Increment attempt counter
+            attempt += 1
+
+            # If indefinite is False and attempts have reached max_attempts, raise the exception
+            if not indefinite and attempt &gt;= max_attempts:
+                raise e from None
+
+            # Calculate sleep time using exponential backoff strategy
+            sleep_time = min(120, math.pow(2, attempt))
+
+            # Sleep for the calculated time before retrying
+            sleep(sleep_time)
+</code></pre>
+<h3 id="solution-4-row-level-concurrency-advanced-feature">Solution 4: Row-Level Concurrency (Advanced Feature)?</h3>
+<ul>
+<li>
+<p>Reduces conflicts between concurrent write operations by detecting changes at the row level.</p>
+</li>
+<li>
+<p>Automatically resolves competing changes in concurrent writes that update or delete different rows in the same data file.</p>
+</li>
+</ul>
+<blockquote>
+<p>Available only on Delta tables with deletion vectors enabled and on Photon-enabled compute running Databricks Runtime 14.0 and above.</p>
+</blockquote>
+<h3 id="reference">Reference</h3>
+<p><a href="https://docs.databricks.com/en/optimizations/isolation-level.html"><strong>Isolation levels and write conflicts on Databricks</strong>
+*Learn about the isolation levels and potential conflicts when performing concurrent transactions on tables on…*docs.databricks.com</a></p>
+<h2 id="thank-you-for-reading">Thank You for Reading!</h2>
+<p>I hope you found this article helpful and informative. If you enjoyed this post, please consider giving it a clap 👏 and sharing it with your network. Your support is greatly appreciated!</p>
+<p>— <a href="https://canadiandataguy.com/">**CanadianDataGuy</a>**</p>
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+                <h1>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</h1>
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+                              May 24, 2022
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+                          <p><a href="https://www.databricks.com/blog/2022/05/24/arc-uses-a-lakehouse-architecture-for-real-time-data-insights-that-optimize-drilling-performance-and-lower-carbon-emissions.html">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures</a>.
+In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                              May 5, 2022
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+                          <p>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code. <a href="https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html">We were able to achieve a 73% reduction in the time it took our pipeline to run as well as saving 21% on the cost of the run.</a></p>
+<p><a href="https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html">https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html</a></p>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                              February 23, 2023
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+                        <div id="post-content">
+                          <h2 id="databricks-workspace-best-practices--a-checklist-for-both-beginners-and-advanced-users">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</h2>
+<p>Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.</p>
+<h3 id="here-are-some-basic-rules-for-using-databricks-workspace">Here are some basic rules for using Databricks Workspace:</h3>
+<ol>
+<li>
+<p>Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage. Use a consistent naming convention and create a logical hierarchy of folders.</p>
+</li>
+<li>
+<p>Use Databricks jobs for every scheduled job: If it’s a scheduled job, then it should run on a job Cluster. It’s cheaper to run on a job cluster over an interactive cluster.</p>
+</li>
+<li>
+<p><a href="https://docs.databricks.com/administration-guide/users-groups/service-principals.html">Service principals</a> should own all production jobs so those permissions stay intact whenever individuals leave the team or company. Ensure the principals have access to the underlying notebooks for this to work correctly.</p>
+</li>
+<li>
+<p>For jobs with multiple tasks, task values should be used so that parameters must be set at the beginning of a job. Typically, we’ve had the first task of a multi-task workflow put the parameters into task values so that all other tasks can pull accordingly as needed. Make sure to set the default and debugValues so that individual notebook-level testing can still take place.</p>
+</li>
+<li>
+<p>Use Databricks CLI/API: Use Databricks CLI to automate repetitive tasks, such as uploading and downloading notebooks and managing clusters.</p>
+</li>
+<li>
+<p>Use secrets management: Use Databricks secrets management to store and manage sensitive information, such as API keys and database credentials.</p>
+</li>
+<li>
+<p>Optimize cluster usage: Use autoscaling to scale your clusters up or down based on workload automatically. Use autoscaling and right-sizing to optimize your cluster usage and reduce costs.</p>
+</li>
+<li>
+<p>Monitor cluster performance: Monitor your cluster performance using Databricks metrics and logs to identify performance bottlenecks and optimize your workload.</p>
+</li>
+<li>
+<p>Use Databricks Delta: Use Databricks Delta for data management, which provides reliability, performance, and scalability for your data. Delta helps you manage your data using ACID transactions, schema enforcement, and data versioning.</p>
+</li>
+<li>
+<p>Use Databricks MLflow: Use Databricks MLflow to track and manage your machine learning experiments. MLflow helps you manage your experiments, track model performance, and deploy models to production.</p>
+</li>
+<li>
+<p>A single logical top-level construct: is an E2 master account (AWS) or a subscription object (Azure Databricks/GCP). In AWS, provision a single E2 account per organization that provides a unified pane of visibility and control to all workspaces. In this way, your admin activity is centralized, with the ability to enable SSO, <a href="https://www.databricks.com/blog/2020/06/02/monitor-your-databricks-workspace-with-audit-logs.html">Audit Logs</a>, and <a href="https://www.databricks.com/blog/2021/05/26/introducing-databricks-unity-catalog-fine-grained-governance-for-data-and-ai-on-the-lakehouse.html">Unity Catalog</a>.</p>
+</li>
+<li>
+<p>Adopt Unity Catalog for data governance. Enabling cross-cloud and cross-workspace analytics brings a new level of governance and control to the Lakehouse.</p>
+</li>
+</ol>
+<p><img src="https://cdn-images-1.medium.com/max/12032/0*On2cbUBjrA__byVR" alt="Photo by Marco Bicca on Unsplash"></p>
+<h2 id="once-you-have-multiple-teams-using-the-same-workspace-its-time-to-set-more-controls">Once you have multiple teams using the same workspace, it’s time to set more controls.</h2>
+<h3 id="here-are-examples-of-some-advanced-best-practices-to-put-in-place">Here are examples of some Advanced best practices to put in place:</h3>
+<ol>
+<li>
+<p><a href="https://learn.microsoft.com/en-us/azure/databricks/administration-guide/clusters/policies">Cost Control by establishing boundaries on compute</a>: Cloud can become expensive fast if no limits are set. A cluster policy is a tool that limits a user or group’s <a href="https://learn.microsoft.com/en-us/azure/databricks/clusters/create-cluster">cluster creation</a> permissions based on a set of policy rules.</p>
+</li>
+<li>
+<p>Tag everything: Keep an eye on your usage and know the <a href="https://docs.databricks.com/resources/limits.html">Databricks Resource Limits</a>; if your workspace usage or user count starts to grow, consider adopting a more involved workspace organization strategy to avoid per-workspace limits. Leverage <a href="https://docs.databricks.com/administration-guide/account-settings/usage-detail-tags-aws.html">resource tagging</a> wherever possible to track cost and <a href="https://docs.databricks.com/administration-guide/account-settings-e2/usage.html">usage</a> metrics.</p>
+</li>
+<li>
+<p>Publish a shared central repository of code examples which are unique to your business. Example: How to connect to your on-prem SQL Server, Oracle, Salesforce, etc.</p>
+</li>
+<li>
+<p>Automate your cloud processes. This ranges from every aspect of your infrastructure, including SSO/SCIM, Infrastructure-as-Code with a tool such as Terraform, CI/CD pipelines and <a href="https://docs.databricks.com/repos.html">Repos</a>, cloud backup, and monitoring (using both cloud-native and third-party tools).</p>
+</li>
+<li>
+<p>Enable audit logging at the account level. Having auditability from the very start of your lakehouse journey allows you to establish a historical baseline. Often, you only realize how much you need audit logs when you really, really need them.</p>
+</li>
+<li>
+<p>Setup <a href="https://docs.databricks.com/data-governance/unity-catalog/manage-identities.html#account-level-identities">Account Level Identities</a> should be enabled as this allows for centralized principal management for all workspaces, thereby simplifying administration. We recommend setting up features like <a href="https://docs.databricks.com/administration-guide/users-groups/single-sign-on/index.html#set-up-single-sign-on">SSO</a>, <a href="https://docs.databricks.com/dev-tools/api/latest/scim/scim-account.html">SCIM</a> and <a href="https://docs.databricks.com/administration-guide/account-settings/audit-logs.html">Audit Logs</a> at the account level. <a href="https://docs.databricks.com/data-governance/unity-catalog/manage-identities.html#how-do-you-manage-sso-for-workspace--and-account-level-identities">Workspace-level SSO is still required</a>, until the SSO Federation feature is available.</p>
+</li>
+<li>
+<p>Tracking the ongoing consumption for all workload types across all workspaces is visible to account admins via the accounts console. We recommend setting up <a href="https://docs.databricks.com/administration-guide/account-settings/billable-usage-delivery.html">billable usage log delivery</a> so that it all goes to your central cloud storage for chargeback and analysis. Budget API (In Preview) should be configured at the account level, which allows account administrators to create thresholds at the workspaces, SKU, and cluster tags level and receives alerts on consumption so that timely action can be taken to remain within allotted budgets. Use a tool such as <a href="https://databrickslabs.github.io/overwatch/">Overwatch</a> to track usage at an even more granular level to help identify areas of improvement when it comes to utilizing computing resources.</p>
+</li>
+</ol>
+<h3 id="reference">Reference:</h3>
+<p><a href="https://www.databricks.com/blog/2022/03/10/functional-workspace-organization-on-databricks.html"><strong>5 Best Practices for Databricks Workspaces</strong></a>
+<a href="https://www.databricks.com/blog/2022/08/26/databricks-workspace-administration-best-practices-for-account-workspace-and-metastore-admins.html"><strong>Databricks Workspace Administration - Best Practices for Account, Workspace and Metastore Admins</strong></a></p>
+<p><a href="https://www.databricks.com/blog/2022/10/18/best-practices-cost-management-databricks.html">https://www.databricks.com/blog/2022/10/18/best-practices-cost-management-databricks.html</a>
+<a href="https://www.databricks.com/blog/2022/08/26/databricks-workspace-administration-best-practices-for-account-workspace-and-metastore-admins.html"><strong>Databricks Workspace Administration - Best Practices for Account, Workspace and Metastore Admins</strong></a>
+<a href="https://www.databricks.com/blog/2022/10/18/best-practices-cost-management-databricks.html"><strong>Best Practices for Cost Management on Databricks</strong></a>
+<a href="https://www.databricks.com/blog/2022/11/22/serving-primer-unity-catalog-onboarding.html"><strong>Serving Up a Primer for Unity Catalog Onboarding</strong></a></p>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
+
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+                              March 3, 2023
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+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="delta-live-tables-advanced-q--a">Delta Live Tables Advanced Q &amp; A</h2>
+<p>This is primarily written for those trying to handle edge cases.</p>
+<p><img src="https://cdn-images-1.medium.com/max/6000/0*fnEnj3G9nKFHpHUI" alt="Photo by Joshua Earle on Unsplash"></p>
+<h3 id="q1-how-can-a-singleunified-table-be-built-with-historical-backfill-and-ongoing-streaming-kafka-data">Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data?</h3>
+<p>The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</p>
+<p><strong>What is the gotcha here?</strong></p>
+<p>The data has lost its natural ordering which is fine in most cases, meaning it did not go into the Delta table in the same order it was generated. This is in contrast to an ideal world in which Kafka had infinite retention, and a single DLT pipeline would have ingested the data.</p>
+<p>If and only if you are using the table as a Streaming source with Watermarking downstream then while reading this data, we will have to instruct Spark Streaming to sort the data while reading it. We can do this by using the following parameter ‘withEventTimeOrder’.</p>
+<pre><code>spark.readStream.format(&quot;delta&quot;)
+        .option(&quot;maxFilesPerTrigger&quot;, f&quot;{maxFilesPerTrigger}&quot;)
+        .option(&quot;withEventTimeOrder&quot;, &quot;true&quot;)
+        .table(f&quot;{schema_name}.{table_name}&quot;)
+</code></pre>
+<p>You can further read about this solution here <a href="https://canadiandataguy.medium.com/how-to-write-your-first-spark-application-with-stream-stream-joins-with-working-code-dd9b0b39f814#d828">https://canadiandataguy.medium.com/how-to-write-your-first-spark-application-with-stream-stream-joins-with-working-code-dd9b0b39f814#d828</a></p>
+<p>To reiterate, the gotcha only applies if you use this table as a Streaming Source along with Watermarking.</p>
+<h3 id="q2-how-do-i-handle-deletes-in-a-streaming-table"><strong>Q2.) How do I handle deletes in a Streaming Table?</strong></h3>
+<p>Let’s take GDPR as an example of where we need to enforce retention on the Delta table. One can run a regular DELETE command on the table and then in the DLT pipeline make changes to downstream consumers.</p>
+<blockquote>
+<p>“By default, streaming tables require append-only sources. When a streaming table uses another streaming table as a source, and the source streaming table requires updates or deletes, for example, GDPR “right to be forgotten” processing, the skipChangeCommits flag can be set on the target streaming table to ignore those changes. For more information about this flag, see <a href="https://docs.databricks.com/en/structured-streaming/delta-lake.html#ignore-changes">Ignore updates and deletes</a>.”</p>
+</blockquote>
+<pre><code>@table
+def b():
+   return spark.readStream.option(&quot;skipChangeCommits&quot;, &quot;true&quot;).table(&quot;LIVE.A&quot;)
+</code></pre>
+<p><a href="https://docs.databricks.com/en/delta-live-tables/python-ref.html#configure-a-streaming-table-to-ignore-changes-in-a-source-streaming-table">https://docs.databricks.com/en/delta-live-tables/python-ref.html#configure-a-streaming-table-to-ignore-changes-in-a-source-streaming-table</a></p>
+<h3 id="q3-how-to-enable-mergeschema-on-dlt-table"><strong>Q3.) How to enable mergeSchema on DLT table?</strong></h3>
+<p>This is already handled in DLT. If you want to control otherwise explicitly, you can pass the following spark conf property at the DLT pipeline or table level.</p>
+<blockquote>
+<p>spark.databricks.delta.schema.autoMerge.enabled True</p>
+</blockquote>
+<p>If you are using Autoloader, consider playing with different schema evolution modes while reading data.</p>
+<p>.option(&ldquo;cloudFiles.schemaEvolutionMode&rdquo;, &ldquo;addNewColumns&rdquo;)</p>
+<h3 id="q4-how-to-change-the-location-where-the-table-is-stored">Q4.) How to change the location where the table is stored?</h3>
+<ol>
+<li>
+<p>Manually copy the data using <a href="https://docs.databricks.com/optimizations/clone.html">Deep Clone</a> with the {new_location}</p>
+</li>
+<li>
+<p>Create a new DLT pipeline and set the path = {new_location}</p>
+<p>@dlt.table(
+name=&quot;<!-- raw HTML omitted -->&quot;,
+comment=&quot;<!-- raw HTML omitted -->&quot;,
+spark_conf={&quot;<!-- raw HTML omitted -->&quot; : &ldquo;&lt;value&rdquo;, &ldquo;&lt;key&rdquo; : &ldquo;<!-- raw HTML omitted -->&rdquo;},
+table_properties={&quot;<!-- raw HTML omitted -->&quot; : &ldquo;<!-- raw HTML omitted -->&rdquo;, &ldquo;<!-- raw HTML omitted -->&rdquo; : &ldquo;<!-- raw HTML omitted -->&rdquo;},
+path=&quot;<!-- raw HTML omitted -->&quot;,
+partition_cols=[&quot;<!-- raw HTML omitted -->&quot;, &ldquo;<!-- raw HTML omitted -->&rdquo;],
+schema=&ldquo;schema-definition&rdquo;,
+temporary=False)</p>
+</li>
+<li>
+<p>In your DLT pipeline configuration, set this property pipelines.tableManagedByMultiplePipelinesCheck.enabledto false</p>
+</li>
+<li>
+<p>Now, we need to make sure that we do not read any duplicate data because we cannot reuse our old checkpoint. We will solve this by using filters or providing a starting configuration for the streaming source. E.g., if your streaming source is:</p>
+</li>
+</ol>
+<p><strong>4. a) Kafka</strong>: Then we will provide offset information. More information can be found <a href="https://canadiandataguy.medium.com/how-to-upgrade-your-spark-stream-application-with-a-new-checkpoint-4dce7fa2cd96">here</a>.</p>
+<p><strong>4. b) Delta:</strong></p>
+<p>For example, suppose you have a table user_events. If you want to read changes since version 5, use:</p>
+<pre><code>spark.readStream.format(&quot;delta&quot;)
+  .option(&quot;startingVersion&quot;, &quot;5&quot;)
+  .load(&quot;/tmp/delta/user_events&quot;)
+</code></pre>
+<p>If you want to read changes since 2023–03–03, use:</p>
+<pre><code>spark.readStream.format(&quot;delta&quot;)
+  .option(&quot;startingTimestamp&quot;, &quot;2018-10-18&quot;)
+  .load(&quot;/tmp/delta/user_events&quot;)
+</code></pre>
+<p>More details can be found [here](http://For example, suppose you have a table user_events. If you want to read changes since version 5, use:  Scala Copy to clipboardCopy spark.readStream.format(&ldquo;delta&rdquo;)   .option(&ldquo;startingVersion&rdquo;, &ldquo;5&rdquo;)   .load(&quot;/tmp/delta/user_events&quot;) If you want to read changes since 2018-10-18, use:  Scala Copy to clipboardCopy spark.readStream.format(&ldquo;delta&rdquo;)   .option(&ldquo;startingTimestamp&rdquo;, &ldquo;2018-10-18&rdquo;)   .load(&quot;/tmp/delta/user_events&quot;)).</p>
+<ol start="5">
+<li>To do step 4, you should parameterize your DLT pipeline, which can be done by following these <a href="https://medium.com/towardsdev/how-to-parameterize-delta-live-tables-and-import-reusable-functions-1994156db7fb">instructions</a>.</li>
+</ol>
+<h3 id="q5-does-dlt-support-identity-columns">Q5.) Does DLT support Identity Columns?</h3>
+<p>Yes, more details <a href="https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-faqs-issues.html#how-do-i-use-identity-columns-when-creating-live-tables-with-sql">here</a>. However, Identity columns are not supported with <a href="https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cdc.html">APPLY CHANGES</a> tables.</p>
+<h3 id="q6-how-to-stream-out-of-a-table-which-was-loaded-using-apply_changes">Q6.) How to stream out of a table which was loaded using apply_changes?</h3>
+<p>This is generally not recommended. The target of the APPLY CHANGES INTO query or apply_changes the function cannot be used as a source for a streaming live table. A table that reads from the target of a APPLY CHANGES INTO query or apply_changes function must be a live table.</p>
+<p>You can rely on enabling <a href="https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cdc.html">SCD</a> and then use audit columns (__START_AT &amp;__END_AT)to identify the changes. However, the downstream would still have to do a batch read and filter on these audit columns to limit the information being read.</p>
+<p><strong>If you are adventurous</strong> and still want to do a read stream of this source. You need to enableChangeDataFeed on the delta table ‘fact_sales’.</p>
+<pre><code>@dlt.table(name=&quot;fact_sales&quot;,
+  comment=&quot;This is a fact tables for sales&quot;,
+  partition_cols = [&quot;order_date&quot;],
+  table_properties={
+    &quot;pipelines.autoOptimize.zOrderCols&quot;: &quot;StoreId,ItemId&quot;,
+    &quot;delta.enableChangeDataFeed&quot;: &quot;true&quot;,
+  }
+)
+</code></pre>
+<p>Then you can decide to stream changes out of the _<em>apply_changes</em>{table_name} . Make sure to handle tombstones/deletes as part of your downstream pipeline.</p>
+<h3 id="q7-how-to-delete-data-using-dlt">Q7.) How to delete Data using DLT?</h3>
+<p>Use the <a href="https://docs.databricks.com/delta-live-tables/cdc.html">Change Data Capture</a> functionality of DLT. The particular expression which will help you achieve this is called **apply_as_deletes. **You can change the parameter to match your custom criteria. For example, if you had bad records originating in a specific time interval or file name, you can change the expression to meet your custom criteria.</p>
+<pre><code>import dlt
+from pyspark.sql.functions import col, expr
+
+@dlt.view
+def users():
+  return spark.readStream.format(&quot;delta&quot;).table(&quot;cdc_data.users&quot;)
+
+dlt.create_streaming_live_table(&quot;target&quot;)
+
+dlt.apply_changes(
+  target = &quot;target&quot;,
+  source = &quot;users&quot;,
+  keys = [&quot;userId&quot;],
+  sequence_by = col(&quot;sequenceNum&quot;),
+  apply_as_deletes = expr(&quot;operation = 'DELETE' or {any other custom logic} &quot;),
+  except_column_list = [&quot;operation&quot;, &quot;sequenceNum&quot;],
+  stored_as_scd_type = &quot;2&quot;
+)
+</code></pre>
+<h3 id="q8-how-to-avoid-accidental-overwrites-in-dlt">Q8.) How to avoid accidental overwrites in DLT?</h3>
+<p>Set this property so that tables cannot be overwritten.</p>
+<p>pipelines.reset.allowed false</p>
+<h3 id="q9-dlt-pipeline-was-deleted-but-the-delta-table-exists-what-to-do-now-what-if-the-owner-has-left-the-org-and-i-need-a-new-dlt-pipeline-to-take-care-of-the-table">Q9.) DLT Pipeline was deleted, but the Delta table exists. What to do now? What if the owner has left the org and I need a new DLT pipeline to take care of the table</h3>
+<p>Step 1.) Verify via CLI if the pipeline has been deleted</p>
+<pre><code>databricks --profile &lt;your_env&gt; pipelines list
+databricks --profile &lt;your_env&gt; pipelines get --pipeline-id &lt;deleted_pipeline_id&gt;
+</code></pre>
+<p>Step 2.) Change the owner of the table</p>
+<pre><code>ALTER TABLE &lt;db&gt;.&lt;table&gt; SET TBLPROPERTIES(pipelines.pipelineId = '&lt;NEW_PIPELINE_ID&gt;');
+</code></pre>
+<p>Note: In case you do not have a pipeline ID yet, you can use the below parameter once; run your pipeline to get the pipeline ID and then remove the below parameter.</p>
+<p>pipelines.tableManagedByMultiplePipelinesCheck.enabledto false</p>
+<h3 id="q10-how-does-sequence_by-work-in-apply_changes-">Q10.) How does sequence_by work in apply_changes() ?</h3>
+<p>There are two types of data management strategies with apply_changes:</p>
+<p>Type 1 involves keeping only the latest state of a record. This means that if an older record arrives out-of-order and we already have a newer record in the target, the older record will not update the target because it is not the latest state.</p>
+<p>Type 2 involves keeping a history of all records. This means that if an out-of-order record arrives, it is considered as a historical entry and will update the table by adding a new entry to the history.</p>
+<p>If you experience unexpected behavior with deletes; you should consider altering the following property pipelines.cdc.tombstoneGCThresholdInSeconds
+<a href="https://docs.databricks.com/en/delta-live-tables/properties.html#cdc"><strong>Delta Live Tables properties reference</strong>
+*This article provides a reference for Delta Live Tables JSON setting specification and table properties in Databricks.*docs.databricks.com</a></p>
+<h3 id="q11-how-to-make-python-udf-work-in-dlt--uc">Q11.) How to make Python UDF work in DLT + UC?</h3>
+<p>Add a tag to your pipeline “PythonUDF.enabled”: “true” and DLT “channel”: “PREVIEW”</p>
+<pre><code>        {
+            &quot;label&quot;: &quot;default&quot;,
+            &quot;aws_attributes&quot;: {
+                &quot;instance_profile_arn&quot;: &quot;fill_this&quot;
+            },
+            &quot;custom_tags&quot;: {
+                &quot;PythonUDF.enabled&quot;: &quot;true&quot;
+            },
+            &quot;autoscale&quot;: {
+                &quot;min_workers&quot;: 1,
+                &quot;max_workers&quot;: 5,
+                &quot;mode&quot;: &quot;ENHANCED&quot;
+            }
+        },
+</code></pre>
+<p>This information is subject to change, and the parameter might not be needed in the future.</p>
+<h2 id="footnote">Footnote:</h2>
+<p>Thank you for taking the time to read this article. If you found it helpful or enjoyable, please consider clapping to show appreciation and help others discover it. Don’t forget to follow me for more insightful content, and visit my website <a href="https://canadiandataguy.com/">**CanadianDataGuy.com</a>** for additional resources and information. Your support and feedback are essential to me, and I appreciate your engagement with my work.</p>
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+                              March 21, 2023
+                            
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+                        <div id="post-content">
+                          <h1 id="from-beginner-to-pro-a-comprehensive-guide-to-understanding-the-spark-streaming-checkpoint">From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint</h1>
+<p>Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient. To mitigate this problem, Spark provides a mechanism called checkpointing.</p>
+<p><img src="https://miro.medium.com/v2/resize:fit:720/0*ak1MMnA6tCrEkkNT" alt=""></p>
+<h2 id="why-do-we-even-need-a-checkpoint">Why do we even need a checkpoint?</h2>
+<p>Someone needs to remember what was done before or what was processed before, or what we know so far. All this information needs to be stored somewhere. The place where this is stored is called a Checkpoint.</p>
+<h2 id="how-does-checkpoint-work">How does checkpoint work?</h2>
+<p>Think of it as a 3 step process:</p>
+<ol>
+<li>Fetch the source metadata and write to Write Ahead Log (WAL)/Offsets</li>
+<li>Fetch the source data, process it, and write to sink</li>
+<li>Write state &amp; commit information</li>
+</ol>
+<p>Checkpoints store the current offsets and state values (e.g. aggregate values) for your stream. Checkpoints are stream specific, so each should be set to its own location.</p>
+<blockquote>
+<p>This is an advanced blog and should be read with the expectation of familiarizing and not understanding. Read this and bookmark it; once you come across a situation where you need to dig into the checkpoint, this blog will come in handy.</p>
+</blockquote>
+<h2 id="what-is-inside-a-checkpoint-folder">What is inside a checkpoint folder?</h2>
+<p>It will have 3 folders inside it and a metadata file:</p>
+<ul>
+<li>
+<p>offsets: This contains the WAL information.</p>
+</li>
+<li>
+<p>commits: Once data is processed, the offset information will go inside it</p>
+</li>
+<li>
+<p>State: Only if stateful operations are involved.</p>
+</li>
+<li>
+<p>metadata: Metadata about the stream. This is a file</p>
+</li>
+</ul>
+<p><img src="https://lh3.googleusercontent.com/wvwCRGZhF2PCv1K87iVQXx889xijfZQMl8ouEoycJmISg3NJZRMOSH6L_P5uyGCXSToPE4PKdoV9lv1GmfHEIcXwyw0zxZRYN9MppbABZ9oOJEoGidJIiudkeyhwNQO0l3A5PxxbUYysGn-urbN2fi8" alt="list of files"></p>
+<h3 id="what-is-inside-the-offsets-file">What is inside the Offsets file?</h3>
+<p>The easiest way to think about it is that once we start processing a micro-batch of data. We need to store an upper bound mark and a lower bound mark of the data. This mark could be called an offset. Think if you a measuring something with a scale and you need to log the reading. This reading, aka the offset, we will store in the offsets file.</p>
+<p><img src="https://media.istockphoto.com/id/453511059/photo/deep-water-guage.jpg?s=612x612&amp;w=is&amp;k=20&amp;c=FUjA9o3QJ-qW8DNWR7QLtjBczBm0jt82y9SbTT9eNRI=" alt="Water Ruller"></p>
+<p>Different sources like Kafka, Kinesis, Delta, etc., all have different ways of defining offsets, but conceptually they are the same.</p>
+<ul>
+<li>Kafka: you will find { &ldquo;topic_name: {&ldquo;partition_number&rdquo;: offset_number } . More information can be found in this <a href="https://medium.com/@canadiandataguy/how-to-upgrade-your-spark-stream-application-with-a-new-checkpoint-4dce7fa2cd96">blog</a>.</li>
+</ul>
+<p>For this blog, let&rsquo;s concentrate on Delta as a streaming source.</p>
+<ul>
+<li>Reservoir ID (aka Table ID): This is your Delta Table id</li>
+<li>reservoirVersion is the version of the Delta table that the micro-batch(current stream execution) started with</li>
+<li>Index: File index of the current Delta Table version being processed. Every time you write to a Delta table, the Table version is incremented. As part of the write operation, multiple files are written. Within that Delta Table Version, the file number being processed is represented by the index.</li>
+<li>isStartingVersion: This is just true or false. It is true to denote a query starting rather than processing changes.</li>
+</ul>
+<p><img src="https://lh5.googleusercontent.com/vfg-MulqfyLYZg283T4SUXTnDk_69k2LLdDID3TUPw18_JhAcuMEGzhYUK1cUOCd5bksGK5baQ_jd1WdEyAL0XaScX89gcdfCboXC2qaiZShqjqaQr-VeEotykz-iEn0q-Q9z2XRXOynzHgm6760Pmo" alt="offsets"></p>
+<h3 id="metadata">Metadata</h3>
+<p>This stores the stream-id, which is generated when the stream starts and remains the same throughout the life of the checkpoint.</p>
+<p><img src="https://lh5.googleusercontent.com/6e-50SDaKfOdxQZ8gzX6xbdY9pNNfvQzWlLvaTM1-DcdQfRKBRPKaMiEED3QB4AbfBpE5JfktYDMbn1EVfH7We8aIV3VO46Gq27on4TXIQNeFlmJbye7lxP99trJP46yDifB4uFnfJtceD_nyFOmdZ0" alt="metadata"></p>
+<h3 id="commits">Commits</h3>
+<p>These files are generated only when the micro-batch succeeds. Offsets are generated at the start of the micro-batch. If the offset did not have a corresponding commit, a failure happened when processing that offset.</p>
+<p>In an ideal scenario, the number of commit files equals the number of offset files. However, when they are not equal, the next Spark Streaming knows where to start because it&rsquo;s stored in the offset file, which did not have a corresponding commit. Furthermore, watermarking information would be found here.</p>
+<p><img src="https://lh3.googleusercontent.com/9AYQ33-jCAF0lOt6-BglpbM61m5u0R5L9jPdwVz-vDGGnNNIJlQulLPSdggnpMNeCX90u5p-MJfzk39rOkTR03JOSdCA9d1e_hD9AbjwTiSRseLlmnq9RaaWLQ6JrsvhCwgCase3-Kl-7PTyHfT9Pnc" alt="commits"></p>
+<h3 id="state-store">State Store</h3>
+<p>This folder only has data in the case of Stateful Streaming, where the State is stored on disk for resiliency purposes. Thus when failures happen, the state can be recovered from here.</p>
+<ul>
+<li>State is also stored as a Delta table</li>
+<li>_metadata  will hold the schema of the state</li>
+</ul>
+<p><img src="https://lh5.googleusercontent.com/uJUjG1bSX73eC0HJhBMTwuqgLyDBLmdrh6Ra0OR5TOg22jLbPoGt9Oxgh5qpUZj5iyyl5R6SUsLvNx6aX1kTgPiXdce3xsYe14nU6qqymboHl13lOCZ2ETUI4tat2kTXOr8_fgXkPvKXC5PbUsFGwaQ" alt="state"></p>
+<hr>
+<hr>
+<h2 id="references">References</h2>
+<p>Please spare some time to look at the below to help absorb the above content further.</p>
+<ol>
+<li><a href="https://www.youtube.com/watch?v=1cBDGsSbwRA&amp;t=442s">https://www.youtube.com/watch?v=1cBDGsSbwRA&amp;t=442s</a></li>
+<li><a href="https://www.databricks.com/blog/2022/12/12/streaming-production-collected-best-practices.html">https://www.databricks.com/blog/2022/12/12/streaming-production-collected-best-practices.html</a></li>
+</ol>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                              January 25, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="how-i-wrote-my-first-spark-streaming-application-with-joins-with-working-code">How I wrote my first Spark Streaming Application with Joins with working code</h2>
+<p>When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how <a href="https://www.databricks.com/blog/2022/07/14/using-spark-structured-streaming-to-scale-your-analytics.html">simple streaming </a>is and build their first application.</p>
+<p>In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</p>
+<p><img src="https://cdn-images-1.medium.com/max/10644/0*IUhD1QKtwgHKBdb8" alt="Photo by Ian Schneider on Unsplash"></p>
+<h2 id="scenario">Scenario:</h2>
+<p>Let’s assume we have a streaming source with data arriving all the time. We want to add more attributes from another table( Think lookup table/ dimension table). Thus we will stream the data and join with the lookup table via Stream-Batch join. The result would be written as a Delta table, which could be used downstream for analytics or streaming.</p>
+<p><strong>Imports &amp; Parameters</strong></p>
+<pre><code>from pyspark.sql import functions as F
+from faker import Faker
+import uuid
+
+# define schema name and where should the table be stored
+schema_name = &quot;test_streaming_joins&quot;
+schema_storage_location = &quot;/tmp/CHOOSE_A_PERMANENT_LOCATION/&quot;
+
+
+# Please download this file from https://simplemaps.com/data/us-zips then download and place it at a location of your choice and then change the value for the variable below
+static_table_csv_file = &quot;/FileStore/jitesh.soni/data/us_zip_code_and_its_attributes.csv&quot;
+
+# Static table specification
+static_table_name = &quot;static_zip_codes&quot;
+
+
+# Target Stareaming Table specification
+target_table_name = &quot;joined_datasets&quot;
+
+# Recommend you to keep the checkpoint next to the Delta table so that you do have to notion about where the checkpoint is
+checkpoint_location = f&quot;{schema_storage_location}/{target_table_name}/_checkpoints/&quot;Create Target Database
+</code></pre>
+<ul>
+<li>
+<p>The below code will help create a schema/database with comments and storage locations for tables</p>
+<p>create_schema_sql = f&quot;&quot;&quot;
+CREATE SCHEMA IF NOT EXISTS {schema_name}
+COMMENT &lsquo;This is {schema_name} schema&rsquo;
+LOCATION &lsquo;{schema_storage_location}&rsquo;
+WITH DBPROPERTIES ( Owner=&lsquo;Jitesh&rsquo;);
+&quot;&quot;&quot;
+print(f&quot;create_schema_sql: {create_schema_sql}&quot;)</p>
+</li>
+</ul>
+<h3 id="generate-static-or-a-lookup-dataset"><strong>Generate Static Or a lookup Dataset</strong></h3>
+<p>We will use a public dataset <a href="https://simplemaps.com/data/us-zips">source</a> with attributes about a zip code. This could be any other static source or a Delta table being updated in parallel.</p>
+<p><strong>Note</strong>: If you pick a static source and start streaming, Spark Streaming will only read it once. If you have a few updates to the static source, you will have to restart the Spark Stream so it rereads the static source.</p>
+<p>Meanwhile, if you have the Delta table as a source, then Spark Streaming will identify the update automatically, and nothing extra needs to be done.</p>
+<pre><code>csv_df = (
+    spark.read.option(&quot;header&quot;, True)
+    .option(&quot;inferSchema&quot;, True)
+    .csv(static_table_csv_file)
+)
+display(csv_df)
+csv_df.write.saveAsTable(f&quot;{schema_name}.{static_table_name}&quot;)
+</code></pre>
+<p>Next, we will Z-order the table on the key, which would be used in joins. This will help Spark Streaming do efficient joins because the Delta table is sorted by join key with statistics about which file contains which key value.</p>
+<pre><code>spark.sql(
+    f&quot;&quot;&quot;
+    OPTIMIZE {schema_name}.{static_table_name} ZORDER BY (zip);
+    &quot;&quot;&quot;
+)
+</code></pre>
+<h3 id="generate-streaming-dataset">Generate Streaming Dataset</h3>
+<p>We will generate a Streaming dataset using the Faker library. In the below code, we will define a few user-defined functions.</p>
+<pre><code>fake = Faker()
+fake_id = F.udf(lambda: str(uuid.uuid4()))
+fake_firstname = F.udf(fake.first_name)
+fake_lastname = F.udf(fake.last_name)
+fake_email = F.udf(fake.ascii_company_email)
+# fake_date = F.udf(lambda:fake.date_time_this_month().strftime(&quot;%Y-%m-%d %H:%M:%S&quot;))
+fake_address = F.udf(fake.address)
+fake_zipcode = F.udf(fake.zipcode)
+</code></pre>
+<p>Now, we will use *spark.readStream.format(“rate”) *to generate data at your desired rate.</p>
+<pre><code>streaming_df = (
+    spark.readStream.format(&quot;rate&quot;)
+    .option(&quot;numPartitions&quot;, 10)
+    .option(&quot;rowsPerSecond&quot;, 1 * 1000)
+    .load()
+    .withColumn(&quot;fake_id&quot;, fake_id())
+    .withColumn(&quot;fake_firstname&quot;, fake_firstname())
+    .withColumn(&quot;fake_lastname&quot;, fake_lastname())
+    .withColumn(&quot;fake_email&quot;, fake_email())
+    .withColumn(&quot;fake_address&quot;, fake_address())
+    .withColumn(&quot;fake_zipcode&quot;, fake_zipcode())
+)
+
+# You can uncomment the below display command to check if the code in this cell works
+# display(streaming_df)
+</code></pre>
+<h2 id="stream--static-join-or-stream--delta-join">Stream- Static Join or Stream -Delta Join</h2>
+<p>Structured Streaming supports joins (inner join and left join) between a streaming and a static DataFrame or a Delta Table. <a href="https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#support-matrix-for-joins-in-streaming-queries">However, a few types of stream-static outer Joins are not supported yet.</a></p>
+<pre><code>lookup_delta_df = spark.read.table(static_table_name)
+
+
+joined_streaming_df = streaming_df.join(
+    lookup_delta_df,
+    streaming_df[&quot;fake_zipcode&quot;] == lookup_delta_df[&quot;zip&quot;],
+    &quot;left_outer&quot;,
+).drop(&quot;fake_zipcode&quot;)
+# display(joined_streaming_df)
+</code></pre>
+<h3 id="orchestrate-the-pipeline-and-write-spark-stream-to-delta-table">Orchestrate the pipeline and write Spark Stream to Delta Table</h3>
+<p>Some Tips:</p>
+<ul>
+<li>
+<p>Give your streaming query a name. It’s good because this name will appear on Spark UI and help you monitor the stream.</p>
+</li>
+<li>
+<p>If you are not planning to run the Stream continuously then use <em>trigger(availableNow=True)</em>. This helps process all pending data and then stops the stream automatically.</p>
+<p>(
+joined_streaming_df.writeStream
+# .trigger(availableNow=True)
+.queryName(&ldquo;do_a_stream_join_with_the_delta_table&rdquo;)
+.option(&ldquo;checkpointLocation&rdquo;, checkpoint_location)
+.format(&ldquo;delta&rdquo;)
+.toTable(f&quot;{schema_name}.{target_table_name}&quot;)
+)</p>
+</li>
+</ul>
+<h3 id="download-the-codehttpsgithubcomjiteshsonimaterial_for_public_consumptionblobmainnotebooksspark_stream_static_joinpy"><a href="https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/spark_stream_static_join.py">Download the code</a></h3>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                <h1>How to get the Job ID and Run ID for a Databricks Job</h1>
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+                              February 23, 2023
+                            
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+                        <div id="post-content">
+                          <h2 id="how-to-get-the-job-id-and-run-id-for-a-databricks-job-with-working-code"><strong>How to get the Job ID and Run ID for a Databricks Job with working code</strong></h2>
+<p>Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed <a href="https://docs.databricks.com/workflows/jobs/jobs.html#id4">here</a>.</p>
+<p>This is a simple 2-step process:</p>
+<ol>
+<li>
+<p>Pass the parameter when defining the job/task</p>
+</li>
+<li>
+<p>Get/Fetch and print the values</p>
+</li>
+</ol>
+<h3 id="step-1-pass-the-parameters">Step 1: Pass the parameters</h3>
+<p><img src="https://cdn-images-1.medium.com/max/4228/1*bPfmY6lG-OxW2l1s5szFsQ.png" alt=""></p>
+<h3 id="step-2-getfetch-and-print-the-values">Step 2: Get/Fetch and print the values</h3>
+<pre><code>print(f&quot;&quot;&quot;
+  job_id: {dbutils.widgets.get('job_id')}
+  run_id: {dbutils.widgets.get('run_id')}
+  parent_run_id: {dbutils.widgets.get('parent_run_id')}
+  task_key: {dbutils.widgets.get('task_key')}
+  &quot;&quot;&quot;)
+</code></pre>
+<p>Next step, when you run the job; you should see an output like this</p>
+<p><img src="https://cdn-images-1.medium.com/max/2220/1*McAX0ziUTXYc-aATZmHpgw.png" alt=""></p>
+<h2 id="advanced--optional">Advanced &amp; Optional:</h2>
+<p>In case you do not have a specific attribute in mind but want to capture the whole context information instead.</p>
+<blockquote>
+<p>The below is code based and attributes are subject to change without notice</p>
+</blockquote>
+<pre><code>dbutils.notebook.entry_point.getDbutils().notebook().getContext().toJson()
+</code></pre>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                              December 13, 2022
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="how-to-parameterize-delta-live-tables-and-import-reusable-functions-with-working-code">How to parameterize Delta Live Tables and import reusable functions with working code</h2>
+<p><img src="https://cdn-images-1.medium.com/max/10944/0*-xOdeCgLJ0kOG2oG" alt="Photo by Roberto Nickson on Unsplash"></p>
+<p>This blog will discuss passing custom parameters to a Delta Live Tables (<strong>DLT</strong>) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().</p>
+<blockquote>
+<p><strong>Update</strong>: As of <a href="https://docs.databricks.com/release-notes/delta-live-tables/2022/49/index.html">*December 2022,</a> you can directly import files if the <a href="https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#import-python-modules-from-a-databricks-repo">reusable_functions.py file exists in the same repository </a>by just using the import command, which is the preferred approach. However, in case these reusable_functions.py file exists outside the repository, you can take the sys.path.append() approach mentioned below.*</p>
+</blockquote>
+<p>Overall, this a 4-step process:</p>
+<ol>
+<li>
+<p>Create a *reusable_functions.py *file</p>
+</li>
+<li>
+<p>Add code to receive the DLT parameters</p>
+</li>
+<li>
+<p>Append the path to reusable_functions.py file and import the functions in the notebook</p>
+</li>
+<li>
+<p>Create a DLT pipeline and set/pass parameters</p>
+</li>
+</ol>
+<h2 id="1-create-a-reusable_functionspy-file">1. Create a *reusable_functions.py *file</h2>
+<p>Create a reusable function in a Python File (not Notebook), so we can import it later. Let’s call the file ‘reusable_functions.py’ below and place it in a path. Please make sure to note the absolute path of the <strong>folder</strong> where this file will be placed.</p>
+<pre><code>from pyspark.sql import DataFrame
+from pyspark.sql.functions import current_timestamp, current_date
+
+def append_ingestion_columns(_df: DataFrame):
+    return _df.withColumn(&quot;ingestion_timestamp&quot;, current_timestamp()).withColumn(
+        &quot;ingestion_date&quot;, current_date()
+    )
+</code></pre>
+<h2 id="2-add-code-to-receive-the-dlt-parameters">2. Add code to receive the DLT parameters</h2>
+<p>The below function is defined with try and except block so that it can work with Notebook as well, where we cannot pass the parameter value from the DLT pipeline</p>
+<pre><code>from pyspark.sql import SparkSession
+
+spark = SparkSession.getActiveSession()
+
+
+def get_parameter_or_return_default(
+    parameter_name: str = &quot;pipeline.parameter_blah_blah&quot;,
+    default_value: str = &quot;default_value&quot;,
+) -&gt; str:
+    try:
+        parameter = spark.conf.get(parameter_name)
+    except Exception:
+        parameter = default_value
+    return parameter
+</code></pre>
+<p>In this example, we will pass two parameters: <em>path_to_reusable_functions</em> &amp; *parameter_abc. *Then we will use the function defined previously to get and set default values for both.</p>
+<pre><code>path_to_reusable_functions = get_parameter_or_return_default(
+    parameter_name=&quot;pipeline.path_to_reusable_functions&quot;,
+    default_value=&quot;/Workspace/Repos/jitesh.soni@databricks.com/material_for_public_consumption/&quot;,
+)
+
+parameter_abc = get_parameter_or_return_default(
+    parameter_name=&quot;pipeline.parameter_abc&quot;, default_value=&quot;random_default_value&quot;
+)
+</code></pre>
+<h2 id="3-append-the-path-to-reusable_functionspy-file-and-import-the-functions-in-the-notebook">3. Append the path to reusable_functions.py file and import the functions in the notebook</h2>
+<pre><code>import sys
+
+# Add the path so functions could be imported
+sys.path.append(path_to_reusable_functions)
+
+# Attempt the import
+from reusable_functions import append_ingestion_columns
+</code></pre>
+<p>Next step, we will define a function to return a DataFrame and the run display command to see the output of the function. This helps one test if the code works without running the DLT pipeline.</p>
+<pre><code>def static_dataframe():
+    df_which_we_got_back_after_running_sql = spark.sql(
+        f&quot;&quot;&quot;
+            SELECT 
+                '{path_to_reusable_functions}' as path_to_reusable_functions
+                ,'{parameter_abc}' as parameter_abc
+        &quot;&quot;&quot;
+    )
+    return append_ingestion_columns(df_which_we_got_back_after_running_sql)
+
+
+display(static_dataframe())
+</code></pre>
+<p>At this point, you should be able to run your notebook and <strong>validate everything works before we create a DLT pipeline</strong>.</p>
+<p>Next step, we define a DLT table.</p>
+<pre><code>import dlt
+
+
+@dlt.table(name=&quot;static_table&quot;, comment=&quot;Static table&quot;)
+def dlt_static_table():
+    return static_dataframe()
+</code></pre>
+<h2 id="4-create-a-dlt-pipeline-and-setpass-parameters">4. Create a DLT pipeline and set/pass parameters</h2>
+<p>At this step, we can create a DLT pipeline via UI, add our custom parameters, and assign them values.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/0*1gT1kzPb_JkvO2Vn.png" alt=""></p>
+<p>The full JSON representation would look something like this, we only care about the ***configuration ***section in this JSON.</p>
+<pre><code>{
+    &quot;id&quot;: &quot;d40fa97a-5b5e-4fe7-9760-b67d78a724a1&quot;,
+    &quot;clusters&quot;: [
+        {
+            &quot;label&quot;: &quot;default&quot;,
+            &quot;policy_id&quot;: &quot;E06216CAA0000360&quot;,
+            &quot;autoscale&quot;: {
+                &quot;min_workers&quot;: 1,
+                &quot;max_workers&quot;: 2,
+                &quot;mode&quot;: &quot;ENHANCED&quot;
+            }
+        },
+        {
+            &quot;label&quot;: &quot;maintenance&quot;,
+            &quot;policy_id&quot;: &quot;E06216CAA0000360&quot;
+        }
+    ],
+    &quot;development&quot;: true,
+    &quot;continuous&quot;: false,
+    &quot;channel&quot;: &quot;PREVIEW&quot;,
+    &quot;edition&quot;: &quot;CORE&quot;,
+    &quot;photon&quot;: false,
+    &quot;libraries&quot;: [
+        {
+            &quot;notebook&quot;: {
+                &quot;path&quot;: &quot;/Repos/jitesh.soni@databricks.com/material_for_public_consumption/notebooks/how_to_parameterize_delta_live_tables_and_import_reusable_functions&quot;
+            }
+        }
+    ],
+    &quot;name&quot;: &quot;how_to_parameterize_delta_live_tables_and_import_reusable_functions&quot;,
+    &quot;storage&quot;: &quot;dbfs:/pipelines/d40fa97a-5b5e-4fe7-9760-b67d78a724a1&quot;,
+    &quot;configuration&quot;: {
+        &quot;pipeline.parameter_abc&quot;: &quot;this_was_passed_from_dlt_config&quot;,
+        &quot;pipeline.path_to_reusable_functions&quot;: &quot;/Workspace/Repos/jitesh.soni@databricks.com/material_for_public_consumption/&quot;
+    },
+    &quot;target&quot;: &quot;tmp_taget_schema&quot;
+}
+</code></pre>
+<p>Trigger your DLT pipeline.</p>
+<p>If you have reached so far, you should have an end-to-end DLT pipeline working with parameter passing and imports.</p>
+<h2 id="update--how-do-you-edit-these-parameters-via-api-or-cli">*Update | How do you edit these parameters via API or CLI</h2>
+<p>Below are screenshots of how to edit these parameters via CLI. The API solution would be similar.</p>
+<p><strong>Create a JSON file with the parameters:</strong></p>
+<pre><code>{
+  &quot;id&quot;: &quot;d40fa97a-5b5e-4fe7-9760-b67d78a724a1&quot;,
+  &quot;name&quot;: &quot;how_to_parameterize_delta_live_tables_and_import_reusable_functions&quot;,
+  &quot;clusters&quot;: [
+        {
+            &quot;label&quot;: &quot;default&quot;,
+            &quot;policy_id&quot;: &quot;E06216CAA0000360&quot;,
+            &quot;autoscale&quot;: {
+                &quot;min_workers&quot;: 1,
+                &quot;max_workers&quot;: 5,
+                &quot;mode&quot;: &quot;ENHANCED&quot;
+            }
+        },
+        {
+            &quot;label&quot;: &quot;maintenance&quot;,
+            &quot;policy_id&quot;: &quot;E06216CAA0000360&quot;
+        }
+    ],
+&quot;configuration&quot;: {
+    &quot;pipeline.parameter_created_from_jobs_cli&quot;: &quot;this_was_created_from_jobs_cli&quot;,
+    &quot;pipeline.parameter_abc&quot;: &quot;this_was_passed_from_dlt_config_via_job_cli&quot;,
+    &quot;pipeline.path_to_reusable_functions&quot;: &quot;/Workspace/Repos/jitesh.soni@databricks.com/material_for_public_consumption/&quot;
+  },
+  &quot;libraries&quot;: [
+        {
+            &quot;notebook&quot;: {
+                &quot;path&quot;: &quot;/Repos/jitesh.soni@databricks.com/material_for_public_consumption/notebooks/how_to_parameterize_delta_live_tables_and_import_reusable_functions&quot;
+            }
+        }
+    ]
+}
+</code></pre>
+<p><strong>Call the Datarbricks CLI to push the changes:</strong></p>
+<p><img src="https://cdn-images-1.medium.com/max/3058/1*5Fdze_mGyR_ywFNFbl4iGw.png" alt=""></p>
+<p><strong>Go back to Delta Live Tables UI and the change would have gone through</strong></p>
+<p><img src="https://cdn-images-1.medium.com/max/2548/1*dxGip_nh1nJyCefohlkZxg.png" alt=""></p>
+<h3 id="download-the-code">Download the code</h3>
+<p><a href="https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/how_to_parameterize_delta_live_tables_and_import_reusable_functions.py">DLT notebook</a> and <a href="https://github.com/jiteshsoni/material_for_public_consumption/blob/main/reusable_functions.py">Reusable_function.py</a></p>
+<h3 id="references">References</h3>
+<p><a href="https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-configuration.html#parameterize-pipelines"><strong>Delta Live Tables settings</strong></a></p>
+<p><a href="https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#import-python-modules-from-a-databricks-repo">https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-cookbook.html#import-python-modules-from-a-databricks-repo</a></p>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                              January 27, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="how-to-prepare-yourself-to-be-better-at-data-interviews">How to prepare yourself to be better at Data Interviews?</h2>
+<p>In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.</p>
+<p>Popular skill set as of 2023 still seems to be SQL, Python &amp; Big Data fundamentals. Here is how to prepare for each of them.</p>
+<h2 id="big-data-fundamentals-and-data-warehousing">Big Data fundamentals and Data Warehousing</h2>
+<ul>
+<li><a href="https://amzn.to/3ik9Oqk">Designing Data-Intensive Applications</a> “The Big Ideas Behind Reliable, Scalable, and Maintainable Systems”</li>
+</ul>
+<p>When you read this book, do not expect to understand this after the first attempt; Just read through it. Some chapters make sense in the second or third iteration. Do not quit on the book because it’s too daunting at first. I have read this book at least five times and keep revising some chapters occasionally, improving my conceptual understanding.</p>
+<ul>
+<li><a href="https://amzn.to/3Us4ij7">The Data Warehouse Toolkit</a>: The Definitive Guide to Dimensional Modeling, 3rd Edition</li>
+</ul>
+<p>Written by “Ralph Kimball” who is considered a thought leader for Data Warehousing. The concepts you will learn in this book still hold true in 2023.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/1*HaEcA9459qFpzSyFKC8Lgw.jpeg" alt=""></p>
+<p>I encourage you to ponder how these concepts hold in the Big Data space when you read this book. As a function of time, many of us graduated directly into the Big Data space without understanding data warehousing enough.</p>
+<h2 id="think-in-sql">Think in SQL:</h2>
+<p>Most businesses do a SQL interview in addition to a coding interview because it is a crucial competence for data engineers, scientists or analysts. Building dependable and scalable data processing and data modelling solutions is your job, and SQL should come naturally to you.</p>
+<ul>
+<li>
+<p>People have a bad habit of running code every time they make a change. However, this often limits one&rsquo;s ability to think about what big blocks of code do together. A good rule of thumb is to run each SQL solution, at most twice, when practicing for the coding round.</p>
+</li>
+<li>
+<p>Write formatted SQL with self-descriptive variable names</p>
+</li>
+<li>
+<p>Learn about partitions, indexes, etc.</p>
+</li>
+<li>
+<p>(Advanced) Learn about explain plan and how databases run your query</p>
+</li>
+</ul>
+<h2 id="practice-python--or-a-language-of-your-choice">Practice Python/ ( Or a language of your choice)</h2>
+<p>To practice your coding skills, you must use a whiteboard rather than just paper or integrated development environments (IDEs), which provide syntax support and standard formatting. Doing this will make you feel more at ease during the actual coding interview rounds. You ought to be knowledgeable about both simple and complicated issues. Learning the foundations of a programming language, like Python, and practicing its syntax and commands are good places to start.</p>
+<ul>
+<li>
+<p>Learn the Big O Notion so that you can write performant and testable code</p>
+</li>
+<li>
+<p>Practice on an online platform: InterviewQuery, Leetcode, Hackerrank, etc</p>
+</li>
+</ul>
+<p>Read the below books</p>
+<ul>
+<li>
+<p><a href="https://amzn.to/3F7J9Gj">Elements of Programming Interviews in Python: The Insiders’ Guide</a></p>
+</li>
+<li>
+<p><a href="https://amzn.to/3GUFm0j">Cracking the Coding Interview: 189 Programming Questions and Solutions</a></p>
+</li>
+</ul>
+<h3 id="practice-interviewing">Practice Interviewing:</h3>
+<p>As you start applying for jobs and come close to the on-site interview stage, practicing mock interviews with peers and experienced coaches who can give you personalized feedback to improve your interview performance is beneficial. Interviewing is a skill that needs to be polished before you go to the on-site interviews.</p>
+<p>I recommend the candidates think about opportunity loss. Finding a good coach who can provide valuable tips can shorten your learning curve and will help you identify your blind spot.</p>
+<p>Example: If you land a job worth $100K a week early. Then a week represents <strong>~$1923 of opportunity.</strong></p>
+<h3 id="blind">Blind:</h3>
+<p><a href="https://www.teamblind.com/">**Blind</a>** is an anonymous community <strong>app</strong> for the workplace. The tech community is very helpful and transparent. Always research the company, their interview style and compensation before your interviews.</p>
+<blockquote>
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+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                              January 25, 2023
+                            
+                          </p>
+                        
+
+                        <div id="post-content">
+                          <h2 id="how-to-upgrade-your-spark-stream-application-with-a-new-checkpoint-with-working-code">How to upgrade your Spark Stream application with a new checkpoint With working code</h2>
+<p>Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:</p>
+<ol>
+<li>
+<p>You are doing a code/application change where you are changing logic</p>
+</li>
+<li>
+<p>Major Spark Version upgrade from Spark 2.x to Spark 3.x</p>
+</li>
+<li>
+<p>The previous deployment was wrong, and you want to reprocess from a certain point</p>
+</li>
+</ol>
+<p>There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</p>
+<p>Not every scenario requires a new checkpoint. <a href="https://docs.databricks.com/structured-streaming/query-recovery.html#types-of-changes-in-structured-streaming-queries">Here is a list of things you can change without requiring a new checkpoint.</a></p>
+<p>This blog helps you understand how to handle a scenario where a new checkpoint is unavoidable.</p>
+<p><img src="https://cdn-images-1.medium.com/max/9184/0*42drq4qeYGri5KRH" alt="Photo by Patrick Tomasso on Unsplash"></p>
+<h2 id="kafka-basics-topics-partition--offset">Kafka Basics: Topics, partition &amp; offset</h2>
+<p>**Kafka Cluster has Topics: **Topics are a way ****to organize messages. Each topic has a name that is unique across the entire Kafka cluster. Messages are sent to and read from specific topics. In other words, producers write data on a topic, and consumers read data from the topic.</p>
+<p>Topics have **Partitions, **and data/messages are distributed across partitions. Every message belongs to a single partition.</p>
+<p>Partition has messages, each with a unique sequential identifier within the partition called the <strong>Offset.</strong></p>
+<p><strong>What is the takeaway here?</strong></p>
+<p>We must identify what offset has already been processed for each partition, and this information can be found inside the checkpoint.</p>
+<p><img src="https://cdn-images-1.medium.com/max/6900/1*VQWCgcWIIgBJnzpjAaDj_A.png" alt=""></p>
+<h2 id="what-information-is-inside-the-checkpoint">What information is inside the checkpoint?</h2>
+<ul>
+<li>
+<p>Fetch metadata &amp; write it to WAL(write-ahead log) in the checkpoint. <strong>WAL</strong>: a roll-forward journal that records transactions that have been committed but not yet applied to the main data</p>
+</li>
+<li>
+<p>Fetch the actual data → process data with state info and then write it to the sink</p>
+</li>
+<li>
+<p>Write the stateful information &amp; commit to the checkpoint</p>
+</li>
+</ul>
+<p>Under the checkpoint folder, there are four subfolders:</p>
+<ol>
+<li>
+<p>Sources (contain starting offset of Kafka)</p>
+</li>
+<li>
+<p>Offsets (consist of WAL information)</p>
+</li>
+<li>
+<p>Commits (after completion of the entire process, it goes to the commit)</p>
+</li>
+<li>
+<p>State (only for stateful operations + 1 file of metadata)</p>
+</li>
+</ol>
+<h2 id="how-to-fetch-information-about-offset--partition-from-the-checkpoint-folder">How to fetch information about Offset &amp; Partition from the Checkpoint folder?</h2>
+<p>List the files at the checkpoint location; we are looking for the <strong>offsets</strong> folder.</p>
+<pre><code>checkpoint_location= &quot;/checkpoint_location/checkpoint_for_kafka_to_delta&quot;
+dbutils.fs.ls(checkpoint_location)dbutils.fs.ls(f”{checkpoint_location}/”)
+</code></pre>
+<p><img src="https://cdn-images-1.medium.com/max/4952/1*PfyMkhWGTUh5nxJHRoG5ug.png" alt=""></p>
+<p>Next, we will list the files under the commits folder and identify the most recent commits.</p>
+<pre><code>dbutils.fs.ls(checkpoint_location)
+dbutils.fs.ls(f”{checkpoint_location}/commits”)
+
+/checkpoint_location/checkpoint_for_kafka_to_delta/commits/0
+/checkpoint_location/checkpoint_for_kafka_to_delta/commits/1
+/checkpoint_location/checkpoint_for_kafka_to_delta/commits/2
+</code></pre>
+<p>Once we identify the last <strong>commits</strong> file number; we will open the equivalent offsets file. In this example, we can see the latest commits is “<strong>2”.</strong></p>
+<p>Now let’s view the contents of the offsets file.</p>
+<pre><code>#%fs head {FILL_THE_EXACT_PATH_OF_THE_FILE_WHICH_NEEDS_TO_BE_VIEWED}
+%fs head /checkpoint_location/checkpoint_for_kafka_to_delta/offsets/2
+
+{&quot;batchWatermarkMs&quot;:0,&quot;batchTimestampMs&quot;:1674623173851,&quot;conf&quot;:{&quot;spark.sql.streaming.stateStore.providerClass&quot;:&quot;org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider&quot;,&quot;spark.sql.streaming.join.stateFormatVersion&quot;:&quot;2&quot;,&quot;spark.sql.streaming.stateStore.compression.codec&quot;:&quot;lz4&quot;,&quot;spark.sql.streaming.stateStore.rocksdb.formatVersion&quot;:&quot;5&quot;,&quot;spark.sql.streaming.statefulOperator.useStrictDistribution&quot;:&quot;true&quot;,&quot;spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion&quot;:&quot;2&quot;,&quot;spark.sql.streaming.multipleWatermarkPolicy&quot;:&quot;min&quot;,&quot;spark.sql.streaming.aggregation.stateFormatVersion&quot;:&quot;2&quot;,&quot;spark.sql.shuffle.partitions&quot;:&quot;200&quot;}}
+{&quot;topic_name_from_kafka&quot;:{&quot;0&quot;:400000, &quot;1&quot;:300000}}
+</code></pre>
+<p>The information of interest is in the end. This has the topic name and offset per partition.</p>
+<p><em>{“topic_name_from_kafka”:{“0”:400000, “1”:300000}}</em></p>
+<h2 id="now-the-easy-part-use-spark-to-start-reading-kafka-from-a-particular-offset">Now the easy part: Use Spark to start reading Kafka from a particular Offset</h2>
+<p>Spark Streaming start<a href="https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html#creating-a-kafka-source-for-streaming-queries">s read stream by default </a>with the *latest *offset. However, it provides a parameter “startingOffsets” to select a custom starting point.</p>
+<pre><code>startingOffsets = &quot;&quot;&quot;{&quot;topic_name_from_kafka&quot;:{&quot;0&quot;:400000, &quot;1&quot;:300000}}&quot;&quot;&quot;
+
+kafka_stream = (spark.readStream
+  .format(&quot;kafka&quot;)
+  .option(&quot;kafka.bootstrap.servers&quot;, kafka_bootstrap_servers_plaintext ) 
+  .option(&quot;subscribe&quot;, topic )
+  .option(&quot;startingOffsets&quot;, startingOffsets )
+  .load())
+
+display(kafka_stream)
+</code></pre>
+<p>And we are Done!!. Recommend parameterizing your code so that “startingOffsets” can be passed as a parameter.</p>
+<h3 id="footnotes">Footnotes</h3>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">Solving Delta Table Concurrency Issues</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/"><i class="far fa-calendar"></i> September 30, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/10000/0*lFrzWG4v-HT_emCP" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/">Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/"><i class="far fa-calendar"></i> September 15, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/"><i class="far fa-calendar"></i> September 12, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/"><i class="far fa-calendar"></i> June 6, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/9400/0*Bsp64aQg2c2IYu9R" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/">A Productive Life: How to Parallelize Code Execution in Python</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          
+
+                                        </p>
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/"><i class="far fa-calendar"></i> April 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2000/1*DwwMNsSfkCZsXZowaIilhA.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">How to Cut Your Data Processing Costs by 30% with Graviton</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/"><i class="far fa-calendar"></i> April 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*cz6kE2uu4BUvfTo6.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/best-practices">best practices</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/"><i class="far fa-calendar"></i> April 19, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">How to write your first Spark application with Stream-Stream Joins with working code.</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
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+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/"><i class="far fa-calendar"></i> March 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">
+                                          
+                                          <img src="https://images.unsplash.com/photo-1574645434327-cb7970fe2e13?ixlib=rb-4.0.3&amp;ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&amp;auto=format&amp;fit=crop&amp;w=774&amp;q=80" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">Dive Deep into Spark Streaming Checkpoint</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/"><i class="far fa-calendar"></i> March 21, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*fnEnj3G9nKFHpHUI" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">Delta Live Tables Advanced Q &amp; A</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
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+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/"><i class="far fa-calendar"></i> March 3, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Delta Live Tables Advanced Q &amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
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diff --git a/public/blog/index.xml b/public/blog/index.xml
new file mode 100644
index 000000000..4e5ab7ffa
--- /dev/null
+++ b/public/blog/index.xml
@@ -0,0 +1,190 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>Blog on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/blog/</link>
+    <description>Recent content in Blog on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Sat, 30 Sep 2023 17:29:06 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/blog/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Solving Delta Table Concurrency Issues</title>
+      <link>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</guid>
+      <description>Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</description>
+    </item>
+    <item>
+      <title>Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</title>
+      <link>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</link>
+      <pubDate>Fri, 15 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</guid>
+      <description>Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&amp;rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</description>
+    </item>
+    <item>
+      <title>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</title>
+      <link>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</link>
+      <pubDate>Tue, 12 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</guid>
+      <description>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</description>
+    </item>
+    <item>
+      <title>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</title>
+      <link>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</guid>
+      <description>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp;amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</description>
+    </item>
+    <item>
+      <title>A Productive Life: How to Parallelize Code Execution in Python</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</link>
+      <pubDate>Sun, 23 Apr 2023 21:38:16 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</guid>
+      <description>A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</description>
+    </item>
+    <item>
+      <title>How to Cut Your Data Processing Costs by 30% with Graviton</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</link>
+      <pubDate>Sun, 23 Apr 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</guid>
+      <description>How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</description>
+    </item>
+    <item>
+      <title>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</link>
+      <pubDate>Wed, 19 Apr 2023 01:04:45 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</guid>
+      <description>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</description>
+    </item>
+    <item>
+      <title>How to write your first Spark application with Stream-Stream Joins with working code.</title>
+      <link>https://canadiandataguy.com/blog/spark-stream-stream-join/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/spark-stream-stream-join/</guid>
+      <description>How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</description>
+    </item>
+    <item>
+      <title>Dive Deep into Spark Streaming Checkpoint</title>
+      <link>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</link>
+      <pubDate>Tue, 21 Mar 2023 06:14:44 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</guid>
+      <description>From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</description>
+    </item>
+    <item>
+      <title>Delta Live Tables Advanced Q &amp; A</title>
+      <link>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</link>
+      <pubDate>Fri, 03 Mar 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</guid>
+      <description>Delta Live Tables Advanced Q &amp;amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</description>
+    </item>
+    <item>
+      <title>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</guid>
+      <description>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</description>
+    </item>
+    <item>
+      <title>How to get the Job ID and Run ID for a Databricks Job</title>
+      <link>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</guid>
+      <description>How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&amp;quot;&amp;quot;&amp;quot; job_id: {dbutils.</description>
+    </item>
+    <item>
+      <title>How to prepare yourself to be better at Data Interviews?</title>
+      <link>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</link>
+      <pubDate>Fri, 27 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</guid>
+      <description>How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp;amp; Big Data fundamentals. Here is how to prepare for each of them.</description>
+    </item>
+    <item>
+      <title>How I wrote my first Spark Streaming Application with Joins?</title>
+      <link>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</guid>
+      <description>How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</description>
+    </item>
+    <item>
+      <title>How to upgrade your Spark Stream application with a new checkpoint!</title>
+      <link>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</guid>
+      <description>How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</description>
+    </item>
+    <item>
+      <title>How to parameterize Delta Live Tables and import reusable functions</title>
+      <link>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</link>
+      <pubDate>Tue, 13 Dec 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</guid>
+      <description>How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</description>
+    </item>
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
+    </item>
+    <item>
+      <title>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</title>
+      <link>https://canadiandataguy.com/blog/arcresources/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/arcresources/</guid>
+      <description>ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+    <item>
+      <title>1 on 1 Interview Coaching</title>
+      <link>https://canadiandataguy.com/blog/1-on-1-coaching/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/1-on-1-coaching/</guid>
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+      <title>Youtube</title>
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+      <guid>https://canadiandataguy.com/blog/youtube/</guid>
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+                              October 13, 2022
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+                        <div id="post-content">
+                          <h2 id="merge-multiple-spark-streams-into-a-delta-table-with-working-code">Merge Multiple Spark Streams Into A Delta Table with working code</h2>
+<p>This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.</p>
+<p>Overall, the process works in the following manner:</p>
+<ol>
+<li>
+<p>Read data from a streaming source</p>
+</li>
+<li>
+<p>Use this special function <a href="https://docs.databricks.com/structured-streaming/foreach.html">***foreachBatch</a>. ***Using this we will call any user-defined function responsible for all the processing.</p>
+</li>
+<li>
+<p>Our user-defined function runs the <em>Merge</em> and *Optimize over *the target Delta table.</p>
+</li>
+</ol>
+<h2 id="architecture">Architecture</h2>
+<p><img src="https://cdn-images-1.medium.com/max/3040/1*mJcyWScvq8JuU0cg_yQN5g.png" alt=""></p>
+<p>First, we need some input data to merge. You could technically make a stream out of Kafka, Kinesis, s3, etc.</p>
+<p>However, for simplicity we will use .format(’rate’) to generate a stream. Feel free to alter numPartitions &amp; rowsPerSecond . These parameters help you control how much volume of data you want to generate. In the below code, we generated 1,000 rows per second across 100 partitions.</p>
+<p>For the purpose of this blog, we will build 2 Spark streams one for each country Canada &amp; USA.</p>
+<p><em>USA’s stream</em></p>
+<pre><code>generated_streaming_usa_df = (
+     spark.readStream
+        .format(&quot;rate&quot;)
+        .option(&quot;numPartitions&quot;, 100)
+        .option(&quot;rowsPerSecond&quot;, 1 * 1000)
+        .load()
+        .selectExpr(
+          &quot;md5( CAST (value AS STRING) ) as md5&quot;
+          ,&quot;value&quot;
+          ,&quot;value%1000000 as hash&quot;
+          ,&quot;'USA' AS country&quot;
+          ,&quot;current_timestamp() as ingestion_timestamp&quot;  
+        )
+)
+
+#display(generated_streaming_usa_df)
+</code></pre>
+<p><em>Canada’s Stream</em></p>
+<pre><code>generated_streaming_canada_df = (
+     spark.readStream
+        .format(&quot;rate&quot;)
+        .option(&quot;numPartitions&quot;, 100)
+        .option(&quot;rowsPerSecond&quot;, 1 * 1000)
+        .load()
+        .selectExpr(
+          &quot;md5( CAST (value AS STRING) ) as md5&quot;
+          ,&quot;value&quot;
+          ,&quot;value%1000000 as hash&quot;
+          ,&quot;'Canada' AS country&quot;
+          ,&quot;current_timestamp() as ingestion_timestamp&quot;    
+        )
+)
+
+#display(generated_streaming_canada_df)
+</code></pre>
+<h2 id="parameters--variables-feel-free-to-change-as-per-your-needs">Parameters / Variables (Feel free to change as per your needs)</h2>
+<pre><code>target_table_name = &quot;to_be_merged_into_table_partitioned_by_country&quot;
+check_point_location_for_usa_stream = f&quot;/tmp/delta/{target_table_name}/_checkpoints/_usa/&quot;
+check_point_location_for_canada_stream = f&quot;/tmp/delta/{target_table_name}/_checkpoints/_canada/&quot;
+join_column_name =&quot;hash&quot;
+partition_column = &quot;country&quot;
+</code></pre>
+<h2 id="create-an-empty-delta-table-so-data-could-be-merged-into-it">Create an Empty Delta table so data could be merged into it</h2>
+<pre><code>#spark.sql(f&quot;&quot;&quot;  DROP TABLE IF EXISTS {target_table_name};&quot;&quot;&quot;)
+(  
+  generated_steaming_usa_df.writeStream
+  .partitionBy(partition_column)
+  .format(&quot;delta&quot;)
+  .outputMode(&quot;append&quot;).trigger(once=True)
+  .option(&quot;checkpointLocation&quot;, check_point_location_for_usa_stream)
+  .toTable(target_table_name)
+)
+</code></pre>
+<p>Check if data is populated. If you do not see any data, just run the above code snippet once more. Sometimes it takes time for the data to show up.</p>
+<pre><code>display(spark.read.table(target_table_name))
+</code></pre>
+<h2 id="now-we-will-build-the-code-for-the-user-defined-function-which-does-all-the-data-processing-merge--optimize">Now we will build the code for the user-defined function which does all the data processing, merge &amp; Optimize</h2>
+<pre><code>def make_changes_using_the_micro_batch(microBatchOutputDF, batchId: int):
+    print(f&quot;Processing batchId: {batchId}&quot;)
+    microBatchOutputDF.createOrReplaceTempView(&quot;updates&quot;)
+    spark_session_for_this_micro_batch = microBatchOutputDF._jdf.sparkSession()
+    spark_session_for_this_micro_batch.sql(f&quot;&quot;&quot;
+      SELECT * 
+      FROM (
+        select *
+          ,rank() over(partition by {join_column_name} order by value desc) as dedupe
+        from updates
+        )
+      WHERE 
+          dedupe =1 
+   &quot;&quot;&quot;).drop(&quot;dedupe&quot;).createOrReplaceTempView(&quot;updates_which_need_to_be_merged&quot;)
+    spark_session_for_this_micro_batch.sql(f&quot;&quot;&quot;
+    MERGE INTO {target_table_name} target
+    using updates_which_need_to_be_merged u 
+    on u.{partition_column} = target.{partition_column} 
+        AND u.{join_column_name} = target.{join_column_name} 
+    WHEN MATCHED THEN UPDATE SET *
+    WHEN NOT MATCHED THEN INSERT *
+    &quot;&quot;&quot;)
+    optimize_every_n_batches = 20
+    #Define how often should optimize run? for example: at 50, it means that we will run the optimize command every 50 batches of stream data
+    if batchId % optimize_every_n_batches == 0:
+        optimize_and_zorder_table(table_name = target_table_name,  zorder_by_col_name = join_column_name)
+</code></pre>
+<h2 id="optimize-z-order-a-delta-table">Optimize/ Z-order a Delta table</h2>
+<p>Why do we need to optimize a table? If we keep adding files to our Delta table and never optimize/sort them then over time we need to read a lot of files during merge time. Thus, optimizing the Delta table after every N merges is better. N needs to be decided on your latency requirements. You could start with N as 10 and change it as per your needs.</p>
+<p>The below code will run an optimize and zorder command on a given table that is being fed by a stream. Optimize commands can’t run in a silo because it will require us to pause and then resume the stream. Therefore, we need to call this function a part of the upsert function. This enables us to optimize before the next batch of streaming data comes through.</p>
+<pre><code>from timeit import default_timer as timer
+ 
+ 
+def optimize_and_zorder_table(table_name: str, zorder_by_col_name: str) -&gt; None:
+    &quot;&quot;&quot;
+    Parameters:
+         table_name: str
+                 name of the table to be optimized
+         zorder_by_col_name: str
+                 comma separated list of columns to zorder by. example &quot;col_a, col_b, col_c&quot;
+    &quot;&quot;&quot;
+    start = timer()
+    print(f&quot;Met condition to optimize table {table_name}&quot;)
+    sql_query_optimize = f&quot;OPTIMIZE  {table_name} ZORDER BY ({zorder_by_col_name})&quot;
+    spark.sql(sql_query_optimize)
+    end = timer()
+    time_elapsed_seconds = end - start
+    print(
+        f&quot;Successfully optimized table {table_name} . Total time elapsed: {time_elapsed_seconds} seconds&quot;
+    )
+</code></pre>
+<h2 id="orchestrate-the-streaming-pipeline-end-to-end">Orchestrate the streaming pipeline end to end</h2>
+<p>Read the <strong>Canada</strong> stream and merge into Delta table</p>
+<pre><code>(
+  generated_steaming_canada_df
+ .writeStream.format('delta')
+ #.trigger(availableNow=True) 
+ .trigger(processingTime='10 seconds')
+ .option(&quot;checkpointLocation&quot;, check_point_location_for_canada_stream)
+ .foreachBatch(make_changes_using_the_micro_batch)
+ .start()
+)
+</code></pre>
+<p>Read the <strong>USA</strong> stream and merge into Delta table</p>
+<pre><code>(
+  generated_steaming_usa_df
+ .writeStream.format('delta')
+ .trigger(processingTime='10 seconds')
+ .option(&quot;checkpointLocation&quot;, check_point_location_for_usa_stream)
+ .foreachBatch(make_changes_using_the_micro_batch)
+ .start()
+)
+</code></pre>
+<p><strong>Now, let’s validate that data is being populated</strong></p>
+<pre><code>display(
+    spark.sql(f&quot;&quot;&quot;
+        SELECT 
+            {partition_column} as partition_column
+            ,count(1) as row_count
+        FROM 
+            {target_table_name}
+        GROUP BY 
+            {partition_column}
+        &quot;&quot;&quot;)
+)
+</code></pre>
+<p>If you have reached so far, you should have an end-to-end pipeline working with streaming data and merging data into a Delta table.</p>
+<h2 id="download-this-notebook">Download this notebook</h2>
+<p><a href="https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/Merge%20Multiple%20Spark%20Streams%20Into%20A%20Delta%20Table.py">https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/Merge%20Multiple%20Spark%20Streams%20Into%20A%20Delta%20Table.py</a></p>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                            <li><a href="/blog/howtoprepareyourselftobebetteratdatainterviews">how to prepare for data interviews</a></li>
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+                <h1>Blog</h1>
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+        </div>
+    </div>
+</div>
+
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+        <div id="content">
+            <div class="container">
+                <div class="row">
+                    
+
+                    <div class="col-md-9" id="blog-listing-medium">
+
+                        
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*On2cbUBjrA__byVR" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/best-practices">best practices</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/"><i class="far fa-calendar"></i> February 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*bPfmY6lG-OxW2l1s5szFsQ.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/">How to get the Job ID and Run ID for a Databricks Job</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/"><i class="far fa-calendar"></i> February 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&quot;&quot;&quot; job_id: {dbutils.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*HaEcA9459qFpzSyFKC8Lgw.jpeg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/">How to prepare yourself to be better at Data Interviews?</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/interviewing">interviewing</a>, 
+                                              <a href="/categories/coaching">coaching</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/"><i class="far fa-calendar"></i> January 27, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp; Big Data fundamentals. Here is how to prepare for each of them.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*IUhD1QKtwgHKBdb8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">How I wrote my first Spark Streaming Application with Joins?</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*42drq4qeYGri5KRH" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">How to upgrade your Spark Stream application with a new checkpoint!</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*-xOdeCgLJ0kOG2oG" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">How to parameterize Delta Live Tables and import reusable functions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/"><i class="far fa-calendar"></i> December 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*mJcyWScvq8JuU0cg_yQN5g.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/arcresources/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/05/db-120-blog-img-1.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/arcresources/">ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/arcresources/"><i class="far fa-calendar"></i> May 24, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/arcresources/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/audantic/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/04/db-80-blog-img-2.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/audantic/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
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+                                    <p class="intro">Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</p>
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+                <h1>Solving Delta Table Concurrency Issues: Practical Code Solutions &amp; Insights</h1>
+            </div>
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+                              April 23, 2023
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+                        <div id="post-content">
+                          <h2 id="solving-delta-table-concurrency-issues-practical-code-solutions--insights">Solving Delta Table Concurrency Issues: Practical Code Solutions &amp; Insights</h2>
+<p>Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as <code>ConcurrentAppendException</code>, <code>ConcurrentDeleteReadException,</code> and <code>ConcurrentDeleteDeleteException.</code> In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+<p><img src="https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8" alt=""></p>
+<h2 id="why-do-these-issues-happen">Why Do These Issues Happen?</h2>
+<ul>
+<li>
+<p>Concurrent Append Exception (<code>ConcurrentAppendException</code>):**
+This error happens when another operation is adding files to the same section (or any section in a table without partitions) that your operation is reading from. These file additions can happen due to INSERT, DELETE, UPDATE, or MERGE operations. By default, with the WriteSerializable isolation level, adding files without checking any data (known as blind INSERT operations) won’t cause any issues with any operation, even if they are working on the same section (or any section in a table without partitions). However, if the isolation level is changed to Serializable, then these blind additions may cause conflicts. This error is commonly seen during simultaneous DELETE, UPDATE, or MERGE operations. Even though these operations might be updating different sections, a conflict can occur if one operation is reading the same section that another operation is updating at the same time.</p>
+</li>
+<li>
+<p>Concurrent Delete Read Exception:
+It occurs when a transaction is trying to read a file that is being deleted by another transaction. This is to ensure that a transaction does not read data that is in the process of being deleted.</p>
+</li>
+<li>
+<p>Concurrent Delete Delete Exception:
+— Occurs when two transactions are trying to delete the same file.
+— Delta Lake ensures that a file is not deleted more than once.</p>
+</li>
+</ul>
+<h2 id="understanding-isolation-levels-serializable-vs-writeserializable">Understanding Isolation Levels: Serializable vs. WriteSerializable</h2>
+<p>Isolation levels in a database control how much transactions are protected from each other’s changes. Delta Lake on Databricks offers two such levels: Serializable and WriteSerializable.</p>
+<p><strong>1. Serializable:</strong>
+— This is the highest level of isolation.
+— It ensures that all write and read operations are done in a specific order, just like how they appear in the table’s history.
+— This means operations are carried out one by one, maintaining the order and ensuring the final result is as expected.</p>
+<p><strong>2. WriteSerializable (Default):</strong>
+— This level is a bit more relaxed compared to Serializable.
+— It guarantees order only for write operations, not for reads.
+— Even though it’s more relaxed, it’s still more strict than the Snapshot isolation level.
+— This level is used by default as it offers a good mix of data consistency and availability for most operations.</p>
+<h2 id="solution-1-setting-the-isolation-level">Solution 1: Setting the Isolation Level:</h2>
+<ul>
+<li>
+<p>Use the <code>ALTER TABLE</code> command to set the isolation level to <code>Serializable</code> or <code>WriteSerializable</code>.</p>
+<p>ALTER TABLE <!-- raw HTML omitted --> SET TBLPROPERTIES (&lsquo;delta.isolationLevel&rsquo; = &lsquo;WriteSerializable&rsquo;)</p>
+</li>
+</ul>
+<h2 id="solution-2-avoiding-conflicts-using-partitioning-and-disjoint-command-conditions">Solution 2: Avoiding Conflicts Using Partitioning and Disjoint Command Conditions</h2>
+<p>When working with tables, sometimes two operations can clash or conflict, especially if they are working on the same set of files. This can cause problems and errors. But, there’s a way to avoid this! You can organize or partition your table based on certain columns that are often used in operations. This way, different operations work on different parts of the table, preventing them from clashing.</p>
+<p>For example, imagine two commands — one is updating the table for dates after January 1, 2010, and another is deleting from the table for dates before January 1, 2010. These two can clash if the table is not organized by date, as both might try to change the same files. But if you partition the table by date, these operations won’t conflict, making things smooth and error-free.</p>
+<p>However, be careful while choosing the column for partitioning. If you choose a column that has a lot of unique values, it can create a large number of subdirectories. This can lead to other issues, affecting the performance of operations on the table.</p>
+<p>By using these strategies and understanding the insights from Databricks regarding isolation levels, row-level concurrency, and write conflicts, you can make your Delta operations more robust, reliable, and efficient.</p>
+<h2 id="solution-3-code-block-with-exponential-retry">Solution 3: Code block with exponential retry</h2>
+<p>The Python code below offers a robust solution to address this challenge. It is designed to manage concurrent write operations to a Delta table or path by intelligently retrying the operation in the event of specific concurrent exceptions. Streaming_write_with_concurrent_retry takes parameters such as the data stream, maximum attempts, and others to provide flexibility and control. It employs a while loop to attempt the write operation continuously and waits for its completion. In case of concurrent exceptions, it increments the attempt counter and calculates the sleep time using an exponential backoff strategy before retrying the operation. This approach ensures that the write operation is eventually successful, providing reliability and efficiency in handling concurrent operations on Delta tables. Explore the code below to understand its workings and integrate it into your projects to enhance concurrent operations handling.</p>
+<pre><code>from datetime import datetime
+from time import sleep
+from delta.exceptions import (
+    ConcurrentAppendException,
+    ConcurrentDeleteReadException,
+    ConcurrentDeleteDeleteException,
+)
+import math
+
+
+def streaming_write_with_concurrent_retry(
+    stream, max_attempts=3, indefinite=False, table=None, path=None
+):
+    &quot;&quot;&quot;
+    Handles concurrent write operations to a Delta table or path by retrying the operation
+    in case of specific concurrent exceptions.
+
+    :param stream: The data stream to be written.
+    :param max_attempts: The maximum number of retry attempts. Default is 3.
+    :param indefinite: If True, will keep retrying indefinitely. Default is False.
+    :param table: The Delta table to write to.
+    :param path: The path to write to.
+    :return: The result of writer.awaitTermination().
+    &quot;&quot;&quot;
+
+    attempt = 0  # Initialize attempt counter
+
+    while True:
+        try:
+            # Choose the writer based on whether table or path is provided
+            if table:
+                writer = stream.table(table)
+            elif path:
+                writer = stream.start(path)
+            else:
+                writer = stream.start()
+
+            # Attempt to write and wait for termination
+            return writer.awaitTermination()
+
+        # Handle concurrent exceptions
+        except (
+            ConcurrentAppendException,
+            ConcurrentDeleteReadException,
+            ConcurrentDeleteDeleteException,
+        ) as e:
+
+            # Increment attempt counter
+            attempt += 1
+
+            # If indefinite is False and attempts have reached max_attempts, raise the exception
+            if not indefinite and attempt &gt;= max_attempts:
+                raise e from None
+
+            # Calculate sleep time using exponential backoff strategy
+            sleep_time = min(120, math.pow(2, attempt))
+
+            # Sleep for the calculated time before retrying
+            sleep(sleep_time)
+</code></pre>
+<h3 id="solution-4-row-level-concurrency-advanced-feature">Solution 4: Row-Level Concurrency (Advanced Feature)?</h3>
+<ul>
+<li>
+<p>Reduces conflicts between concurrent write operations by detecting changes at the row level.</p>
+</li>
+<li>
+<p>Automatically resolves competing changes in concurrent writes that update or delete different rows in the same data file.</p>
+</li>
+</ul>
+<blockquote>
+<p>Available only on Delta tables with deletion vectors enabled and on Photon-enabled compute running Databricks Runtime 14.0 and above.</p>
+</blockquote>
+<h3 id="reference">Reference</h3>
+<p><a href="https://docs.databricks.com/en/optimizations/isolation-level.html"><strong>Isolation levels and write conflicts on Databricks</strong>
+*Learn about the isolation levels and potential conflicts when performing concurrent transactions on tables on…*docs.databricks.com</a></p>
+<h2 id="thank-you-for-reading">Thank You for Reading!</h2>
+<p>I hope you found this article helpful and informative. If you enjoyed this post, please consider giving it a clap 👏 and sharing it with your network. Your support is greatly appreciated!</p>
+<p>— <a href="https://canadiandataguy.com/">**CanadianDataGuy</a>**</p>
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+                        <div id="post-content">
+                          <h2 id="how-to-write-your-first-spark-application-with-stream-stream-joins-with-working-code">How to write your first Spark application with Stream-Stream Joins with working code.</h2>
+<p>Have you been waiting to try Streaming but cannot take the plunge?</p>
+<p>In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.</p>
+<p>The steps involved:</p>
+<ol>
+<li>Create a fake dataset at scale</li>
+<li>Set a baseline using traditional SQL</li>
+<li>Define Temporary Streaming Views</li>
+<li>Inner Joins with optional Watermarking</li>
+<li>Left Joins with Watermarking</li>
+<li>The cold start edge case: withEventTimeOrder</li>
+<li>Cleanup</li>
+</ol>
+<p><img src="https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg" alt=""></p>
+<h2 id="what-is-stream-stream-join">What is Stream-Stream Join?</h2>
+<p>Stream-stream join is a widely used operation in stream processing where two or more data streams are joined based on some common attributes or keys. It is essential in several use cases, such as real-time analytics, fraud detection, and IoT data processing.</p>
+<h3 id="concept-of-stream-stream-join">Concept of Stream-Stream Join</h3>
+<p>Stream-stream join combines two or more streams based on a common attribute or key. The join operation is performed on an ongoing basis, with each new data item from the stream triggering a join operation. In stream-stream join, each data item in the stream is treated as an event, and it is matched with the corresponding event from the other stream based on matching criteria. This matching criterion could be a common attribute or key in both streams.</p>
+<p>When it comes to joining data streams, there are a few key challenges that must be addressed to ensure successful results. One of the biggest hurdles is the fact that, at any given moment, neither stream has a complete view of the dataset. This can make it difficult to find matches between inputs and generate accurate join results.</p>
+<p>To overcome this challenge, it’s important to buffer past input as a streaming state for both input streams. This allows for every future input to be matched with past input, which can help to generate more accurate join results. Additionally, this buffering process can help to automatically handle late or out-of-order data, which can be common in streaming environments.</p>
+<p>To further optimize the join process, it’s also important to use watermarks to limit the state. This can help to ensure that only the most relevant data is being used to generate join results, which can help to improve accuracy and reduce processing times.</p>
+<h3 id="types-of-stream-stream-join">Types of Stream-Stream Join</h3>
+<p>Depending on the nature of the join and the matching criteria, there are several types of stream-stream join operations. Some of the popular types of stream-stream join are:</p>
+<p><strong>Inner Join</strong>
+In inner join, only those events are returned where there is a match in both the input streams. This type of join is useful when combining the data from two streams with a common key or attribute.</p>
+<p><strong>Outer Join</strong>
+In outer join, all events from both the input streams are included in the joined stream, whether or not there is a match between them. This type of join is useful when we need to combine data from two streams, and there may be missing or incomplete data in either stream.</p>
+<p><strong>Left Join</strong>
+In left join, all events from the left input stream are included in the joined stream, and only the matching events from the right input stream are included. This type of join is useful when we need to combine data from two streams and keep all the data from the left stream, even if there is no matching data in the right stream.</p>
+<h2 id="1-the-setup-create-a-fake-dataset-at-scale">1. The Setup: Create a fake dataset at scale</h2>
+<p>Most people do not have 2 streams just hanging around for one to experiment with Stream Steam Joins. Thus I used Faker to mock 2 different streams which we will use for this example.</p>
+<p>The name of the library being used is Faker and faker_vehicle to create Datasets.</p>
+<pre><code>!pip install faker_vehicle
+!pip install faker
+</code></pre>
+<p>Imports</p>
+<pre><code>from faker import Faker
+from faker_vehicle import VehicleProvider
+from pyspark.sql import functions as F
+import uuid
+from utils import logger
+</code></pre>
+<p>Parameters</p>
+<pre><code># define schema name and where should the table be stored
+schema_name = “test_streaming_joins”
+schema_storage_location = “/tmp/CHOOSE_A_PERMANENT_LOCATION/”
+</code></pre>
+<p><strong>Create the Target Schema/Database</strong>
+Create a Schema and set location. This way, all tables would inherit the base location.</p>
+<pre><code>create_schema_sql = f”””
+ CREATE SCHEMA IF NOT EXISTS {schema_name}
+ COMMENT ‘This is {schema_name} schema’
+ LOCATION ‘{schema_storage_location}’
+ WITH DBPROPERTIES ( Owner=’Jitesh’);
+ “””
+print(f”create_schema_sql: {create_schema_sql}”)
+spark.sql(create_schema_sql)
+</code></pre>
+<p>Use Faker to define functions to help generate fake column values</p>
+<pre><code>fake = Faker()
+fake.add_provider(VehicleProvider)
+
+event_id = F.udf(lambda: str(uuid.uuid4()))
+vehicle_year_make_model = F.udf(fake.vehicle_year_make_model)
+vehicle_year_make_model_cat = F.udf(fake.vehicle_year_make_model_cat)
+vehicle_make_model = F.udf(fake.vehicle_make_model)
+vehicle_make = F.udf(fake.vehicle_make)
+vehicle_model = F.udf(fake.vehicle_model)
+vehicle_year = F.udf(fake.vehicle_year)
+vehicle_category = F.udf(fake.vehicle_category)
+vehicle_object = F.udf(fake.vehicle_object)
+
+latitude = F.udf(fake.latitude)
+longitude = F.udf(fake.longitude)
+location_on_land = F.udf(fake.location_on_land)
+local_latlng = F.udf(fake.local_latlng)
+zipcode = F.udf(fake.zipcode)
+</code></pre>
+<p>Generate Streaming source data at your desired rate</p>
+<pre><code>def generated_vehicle_and_geo_df (rowsPerSecond:int , numPartitions :int ):
+    return (
+        spark.readStream.format(&quot;rate&quot;)
+        .option(&quot;numPartitions&quot;, numPartitions)
+        .option(&quot;rowsPerSecond&quot;, rowsPerSecond)
+        .load()
+        .withColumn(&quot;event_id&quot;, event_id())
+        .withColumn(&quot;vehicle_year_make_model&quot;, vehicle_year_make_model())
+        .withColumn(&quot;vehicle_year_make_model_cat&quot;, vehicle_year_make_model_cat())
+        .withColumn(&quot;vehicle_make_model&quot;, vehicle_make_model())
+        .withColumn(&quot;vehicle_make&quot;, vehicle_make())
+        .withColumn(&quot;vehicle_year&quot;, vehicle_year())
+        .withColumn(&quot;vehicle_category&quot;, vehicle_category())
+        .withColumn(&quot;vehicle_object&quot;, vehicle_object())
+        .withColumn(&quot;latitude&quot;, latitude())
+        .withColumn(&quot;longitude&quot;, longitude())
+        .withColumn(&quot;location_on_land&quot;, location_on_land())
+        .withColumn(&quot;local_latlng&quot;, local_latlng())
+        .withColumn(&quot;zipcode&quot;, zipcode())
+        )
+
+# You can uncomment the below display command to check if the code in this cell works
+#display(generated_vehicle_and_geo_df)
+
+# You can uncomment the below display command to check if the code in this cell works
+#display(generated_vehicle_and_geo_df)
+</code></pre>
+<p>Now let&rsquo;s generate the base source table and let’s call it Vehicle_Geo</p>
+<pre><code>table_name_vehicle_geo= &quot;vehicle_geo&quot;
+def stream_write_to_vehicle_geo_table(rowsPerSecond: int = 1000, numPartitions: int = 10):
+    
+    (
+        generated_vehicle_and_geo_df(rowsPerSecond, numPartitions)
+            .writeStream
+            .queryName(f&quot;write_to_delta_table: {table_name_vehicle_geo}&quot;)
+            .option(&quot;checkpointLocation&quot;, f&quot;{schema_storage_location}/{table_name_vehicle_geo}/_checkpoint&quot;)
+            .format(&quot;delta&quot;)
+            .toTable(f&quot;{schema_name}.{table_name_vehicle_geo}&quot;)
+    )
+stream_write_to_vehicle_geo_table(rowsPerSecond = 1000, numPartitions = 10)
+</code></pre>
+<p>Let the above code run for a few iterations, and you can play with rowsPerSecond and numPartitions to control how much data you would like to generate. Once you have generated enough data, kill the above stream and get a base line for row count.</p>
+<pre><code>spark.read.table(f&quot;{schema_name}.{table_name_vehicle_geo}&quot;).count()
+
+display(
+    spark.sql(f&quot;&quot;&quot;
+    SELECT * 
+    FROM {schema_name}.{table_name_vehicle_geo}
+&quot;&quot;&quot;)
+)
+</code></pre>
+<p>Let’s also get a min &amp; max of the timestamp column as we would be leveraging it for watermarking.</p>
+<pre><code>display(
+    spark.sql(f&quot;&quot;&quot;
+    SELECT 
+         min(timestamp)
+        ,max(timestamp)
+        ,current_timestamp()
+    FROM {schema_name}.{table_name_vehicle_geo}
+&quot;&quot;&quot;)
+)
+</code></pre>
+<h3 id="next-we-will-break-this-delta-table-into-2-different-tables">Next, we will break this Delta table into 2 different tables</h3>
+<p>Because for Stream-Stream Joins we need 2 different streams. We will use Delta To Delta Streaming here to create these tables.</p>
+<ol>
+<li><strong>a ) Table: Vehicle</strong></li>
+</ol>
+<pre tabindex="0"><code>table_name_vehicle = &#34;vehicle&#34;
+vehicle_df = (
+    spark.readStream.format(&#34;delta&#34;)
+    .option(&#34;maxFilesPerTrigger&#34;, &#34;100&#34;)
+    .table(f&#34;{schema_name}.vehicle_geo&#34;)
+    .selectExpr(
+        &#34;event_id&#34;,
+        &#34;timestamp as vehicle_timestamp&#34;,
+        &#34;vehicle_year_make_model&#34;,
+        &#34;vehicle_year_make_model_cat&#34;,
+        &#34;vehicle_make_model&#34;,
+        &#34;vehicle_make&#34;,
+        &#34;vehicle_year&#34;,
+        &#34;vehicle_category&#34;,
+        &#34;vehicle_object&#34;,
+    )
+)
+
+
+def stream_write_to_vehicle_table():
+
+    (
+        vehicle_df.writeStream
+        # .trigger(availableNow=True)
+        .queryName(f&#34;write_to_delta_table: {table_name_vehicle}&#34;)
+        .option(
+            &#34;checkpointLocation&#34;,
+            f&#34;{schema_storage_location}/{table_name_vehicle}/_checkpoint&#34;,
+        )
+        .format(&#34;delta&#34;)
+        .toTable(f&#34;{schema_name}.{table_name_vehicle}&#34;)
+    )
+
+
+stream_write_to_vehicle_table()
+</code></pre><ol>
+<li><strong>b) Table: Geo</strong></li>
+</ol>
+<p>We have added a filter when we write to this table. This would be useful when we emulate the left join scenario. Filter: where(&ldquo;value like &lsquo;1%&rsquo; &ldquo;)</p>
+<pre><code>geo_df = (
+    spark.readStream.format(&quot;delta&quot;).option(&quot;maxFilesPerTrigger&quot;,&quot;100&quot;).table(f&quot;{schema_name}.vehicle_geo&quot;)
+        .selectExpr(
+            &quot;event_id&quot;
+            ,&quot;value&quot;
+            ,&quot;timestamp as geo_timestamp&quot;
+            ,&quot;latitude&quot;
+            ,&quot;longitude&quot;
+            ,&quot;location_on_land&quot;
+            ,&quot;local_latlng&quot;
+            ,&quot;cast( zipcode as integer) as zipcode&quot;
+        ).where(&quot;value like '1%' &quot;) 
+    )
+#geo_df.printSchema()
+#display(geo_df)
+
+table_name_geo = &quot;geo&quot;
+def stream_write_to_geo_table():
+    
+    (   geo_df
+        .writeStream
+        #.trigger(availableNow=True)
+        .queryName(f&quot;write_to_delta_table: {table_name_geo}&quot;)
+        .option(&quot;checkpointLocation&quot;, f&quot;{schema_storage_location}/{table_name_geo}/_checkpoint&quot;)
+        .format(&quot;delta&quot;)
+        .toTable(f&quot;{schema_name}.{table_name_geo}&quot;)
+    )
+    
+stream_write_to_geo_table()    
+</code></pre>
+<h2 id="2-set-a-baseline-using-traditional-sql">2. Set a baseline using traditional SQL</h2>
+<p>Before we do the actual streaming joins. Let’s do a regular join and figure out the expected row count.</p>
+<p><strong>Get row count from Inner Join</strong></p>
+<pre><code>sql_query_batch_inner_join = f'''
+        SELECT count(vehicle.event_id) as row_count_for_inner_join
+        FROM {schema_name}.{table_name_vehicle} vehicle
+        JOIN {schema_name}.{table_name_geo} geo
+        ON vehicle.event_id = geo.event_id
+    AND vehicle_timestamp &gt;= geo_timestamp  - INTERVAL 5 MINUTES        
+        '''
+print(f''' Run SQL Query: 
+          {sql_query_batch_inner_join}       
+       ''')
+display( spark.sql(sql_query_batch_inner_join) )
+</code></pre>
+<p><strong>Get row count from Inner Join</strong></p>
+<pre><code>sql_query_batch_left_join = f'''
+        SELECT count(vehicle.event_id) as row_count_for_left_join
+        FROM {schema_name}.{table_name_vehicle} vehicle
+        LEFT JOIN {schema_name}.{table_name_geo} geo
+        ON vehicle.event_id = geo.event_id
+            -- Assume there is a business logic that timestamp cannot be more than 15 minutes off
+    AND vehicle_timestamp &gt;= geo_timestamp  - INTERVAL 5 MINUTES
+        '''
+print(f''' Run SQL Query: 
+          {sql_query_batch_left_join}       
+       ''')
+display( spark.sql(sql_query_batch_left_join) )
+</code></pre>
+<h2 id="summary-so-far">Summary so far:</h2>
+<ol>
+<li>
+<p>We created a Source Delta Table: vehicle_geo</p>
+</li>
+<li>
+<p>We took the previous table and divided its column into two tables: Vehicle and Geo</p>
+</li>
+<li>
+<p>Vehicle row count matches with vehicle_geo, and it has a subset of those columns</p>
+</li>
+<li>
+<p>The Geo row count is lesser than Vehicle because we added a filter when we wrote to the Geo table</p>
+</li>
+<li>
+<p>We ran 2 SQL to identify what the row count should be after we do stream-stream join</p>
+</li>
+</ol>
+<h2 id="3-define-temporary-streaming-views">3. Define Temporary Streaming Views</h2>
+<p>Some people prefer to write the logic in SQL. Thus, we are creating streaming views which could be manipulated with SQL. The below code block will help create a view and set a watermark on the stream.</p>
+<pre><code>def stream_from_delta_and_create_view (schema_name: str, table_name:str, column_to_watermark_on:str, how_late_can_the_data_be: str = &quot;2 minutes&quot; , maxFilesPerTrigger: int = 100):
+    view_name = f&quot;_streaming_vw_{schema_name}_{table_name}&quot;
+    print(f&quot;Table {schema_name}.{table_name} is now streaming under a temporoary view called {view_name}&quot;)
+    (
+        spark.readStream.format(&quot;delta&quot;)
+        .option(&quot;maxFilesPerTrigger&quot;, f&quot;{maxFilesPerTrigger}&quot;)
+        .option(&quot;withEventTimeOrder&quot;, &quot;true&quot;)
+        .table(f&quot;{schema_name}.{table_name}&quot;)
+        .withWatermark(f&quot;{column_to_watermark_on}&quot;,how_late_can_the_data_be)
+        .createOrReplaceTempView(view_name)
+    )
+</code></pre>
+<p><strong>3. a Create Vehicle Stream</strong></p>
+<p>Let’s create a Vehicle Stream and set its watermark as 1mins</p>
+<pre><code>stream_from_delta_and_create_view(schema_name =schema_name, table_name = 'vehicle', column_to_watermark_on =&quot;vehicle_timestamp&quot;, how_late_can_the_data_be = &quot;1 minutes&quot; )
+</code></pre>
+<p>Let’s visualize the stream.</p>
+<pre><code>display(
+    spark.sql(f'''
+        SELECT *
+        FROM _streaming_vw_test_streaming_joins_vehicle
+    ''')
+)
+</code></pre>
+<p>You can also do an aggregation on the stream. It’s out of the scope of this blog, but I wanted to show you how you can do it</p>
+<pre><code>display(
+    spark.sql(f'''
+        SELECT 
+            vehicle_make
+            ,count(1) as row_count
+        FROM _streaming_vw_test_streaming_joins_vehicle
+        GROUP BY vehicle_make
+        ORDER BY vehicle_make
+    ''')
+)
+</code></pre>
+<p><strong>3. b Create Geo Stream</strong></p>
+<p>Let’s create a Geo Stream and set its watermark as 2 mins</p>
+<pre><code>stream_from_delta_and_create_view(schema_name =schema_name, table_name = 'geo', column_to_watermark_on =&quot;geo_timestamp&quot;, how_late_can_the_data_be = &quot;2 minutes&quot; )
+</code></pre>
+<p>Have a look at what the data looks like</p>
+<pre><code>display(
+    spark.sql(f'''
+        SELECT *
+        FROM _streaming_vw_test_streaming_joins_geo
+    ''')
+)
+</code></pre>
+<h2 id="4-inner-joins-with-optional-watermarking">4. Inner Joins with optional Watermarking</h2>
+<p>While inner joins on any kind of columns and with any kind of conditions are possible in streaming environments, it’s important to be aware of the potential for unbounded state growth. As new input arrives, it can potentially match with any input from the past, leading to a rapidly increasing streaming state size.</p>
+<p>To avoid this issue, it’s essential to define additional join conditions that prevent indefinitely old inputs from matching with future inputs. By doing so, it’s possible to clear old inputs from the state, which can help to prevent unbounded state growth and ensure more efficient processing.</p>
+<p>There are a variety of techniques that can be used to define these additional join conditions. For example, you might limit the scope of the join by only matching on a subset of columns, or you might set a time-based constraint that prevents old inputs from being considered after a certain period of time has elapsed.</p>
+<p>Ultimately, the key to managing streaming state size and ensuring efficient join processing is to consider the unique requirements of your specific use case carefully and to leverage the right techniques and tools to optimize your join conditions accordingly. <strong>Although watermarking could be optional, I would highly recommend you set a watermark on both streams.</strong></p>
+<pre><code>sql_for_stream_stream_inner_join = f&quot;&quot;&quot;
+    SELECT 
+        vehicle.*
+        ,geo.latitude
+        ,geo.longitude
+        ,geo.zipcode
+    FROM _streaming_vw_test_streaming_joins_vehicle vehicle
+    JOIN _streaming_vw_test_streaming_joins_geo geo
+    ON vehicle.event_id = geo.event_id
+    -- Assume there is a business logic that timestamp cannot be more than X minutes off
+    AND vehicle_timestamp &gt;= geo_timestamp - INTERVAL 5 minutes
+&quot;&quot;&quot;
+#display(spark.sql(sql_for_stream_stream_inner_join))
+
+table_name_stream_stream_innner_join ='stream_stream_innner_join'
+
+(   spark.sql(sql_for_inner_join)
+    .writeStream
+    #.trigger(availableNow=True)
+        .queryName(f&quot;write_to_delta_table: {table_name_stream_stream_innner_join}&quot;)
+        .option(&quot;checkpointLocation&quot;, f&quot;{schema_storage_location}/{table_name_stream_stream_innner_join}/_checkpoint&quot;)
+        .format(&quot;delta&quot;)
+        .toTable(f&quot;{schema_name}.{table_name_stream_stream_innner_join}&quot;)
+)
+</code></pre>
+<p>If the stream has finished then in the next step. You should find that the row count should match up with the regular batch SQL Job</p>
+<pre><code>spark.read.table(f&quot;{schema_name}.{table_name_stream_stream_innner_join}&quot;).count()
+</code></pre>
+<h3 id="how-was-the-watermark-computed-in-this-scenario">How was the watermark computed in this scenario?</h3>
+<p>When we defined streaming views for Vehicle and Geo, we set them as 1 min and 2 min, respectively.</p>
+<p>If you look at the join condition we mentioned :</p>
+<pre><code>AND vehicle_timestamp &gt;= geo_timestamp - INTERVAL 5 minutes
+</code></pre>
+<p>5 min + 2 min = 7 min.</p>
+<p>Spark Streaming would automatically calculate this 7 min number and the state would be cleared after that.</p>
+<h2 id="5-left-joins-with-watermarking">5. Left Joins with Watermarking</h2>
+<p>While the watermark + event-time constraints is optional for inner joins, for outer joins they must be specified. This is because for generating the NULL results in outer join, the engine must know when an input row is not going to match with anything in future. Hence, the watermark + event-time constraints must be specified for generating correct results.</p>
+<h3 id="5a-how-left-joins-works-differently-than-an-inner-join">5.a How Left Joins works differently than an Inner Join</h3>
+<p>One important factor is that the outer NULL results will be generated with a delay that depends on the specified watermark delay and the time range condition. This delay is necessary to ensure that there were no matches, and that there will be no matches in the future.</p>
+<p>In the current implementation of the micro-batch engine, watermarks are advanced at the end of each micro-batch, and the next micro-batch uses the updated watermark to clean up the state and output outer results. However, this means that the generation of outer results may be delayed if there is no new data being received in the stream. If either of the two input streams being joined does not receive data for a while, the outer output (in both left and right cases) may be delayed.</p>
+<pre><code>sql_for_stream_stream_left_join = f&quot;&quot;&quot;
+    SELECT 
+        vehicle.*
+        ,geo.latitude
+        ,geo.longitude
+        ,geo.zipcode
+    FROM _streaming_vw_test_streaming_joins_vehicle vehicle
+    LEFT JOIN _streaming_vw_test_streaming_joins_geo geo
+    ON vehicle.event_id = geo.event_id
+    AND vehicle_timestamp &gt;= geo_timestamp  - INTERVAL 5 MINUTES
+&quot;&quot;&quot;
+#display(spark.sql(sql_for_stream_stream_left_join))
+
+table_name_stream_stream_left_join ='stream_stream_left_join'
+
+(   spark.sql(sql_for_stream_stream_left_join)
+    .writeStream
+    #.trigger(availableNow=True)
+        .queryName(f&quot;write_to_delta_table: {table_name_stream_stream_left_join}&quot;)
+        .option(&quot;checkpointLocation&quot;, f&quot;{schema_storage_location}/{table_name_stream_stream_left_join}/_checkpoint&quot;)
+        .format(&quot;delta&quot;)
+        .toTable(f&quot;{schema_name}.{table_name_stream_stream_left_join}&quot;)
+)
+</code></pre>
+<p>If the stream has finished, then in the next step. You should find that the row count should match up with the regular batch SQL Job.</p>
+<pre><code>spark.read.table(f&quot;{schema_name}.{table_name_stream_stream_left_join}&quot;).count()
+</code></pre>
+<blockquote>
+<p>**You will find that some records that could not match are not being released, which is expected. **The outer NULL results will be generated with a delay that depends on the specified watermark delay and the time range condition. This is because the engine has to wait for that long to ensure there were no matches and there will be no more matches in future.
+<strong><strong>Watermark will advance once new data is pushed to it</strong></strong></p>
+</blockquote>
+<p>Thus let’s generate some more fate data to the base table: **vehicle_geo. **This time we are sending a much lower volume of 10 records per second. Let the below command run for at least one batch and then kill it.</p>
+<pre><code>stream_write_to_vehicle_geo_table(rowsPerSecond = 10, numPartitions = 10)
+</code></pre>
+<h3 id="5-b-what-to-observe">5. b What to observe:</h3>
+<ol>
+<li>
+<p>Soon you should see the watermark moves ahead and the number of records in ‘Aggregation State’ goes down.</p>
+</li>
+<li>
+<p>If you click on the running stream and click the raw data tab and look for “watermark”. You will see it has advanced</p>
+</li>
+<li>
+<p>Once 0 records per second are being processed, that means your stream has caught up, and now your row count should match up with the traditional SQL left join</p>
+<p>spark.read.table(f&rdquo;{schema_name}.{table_name_stream_stream_left_join}&rdquo;).count()</p>
+</li>
+</ol>
+<h2 id="6-the-cold-start-edge-case-witheventtimeorder">6. The cold start edge case: withEventTimeOrder</h2>
+<blockquote>
+<p>“When using a Delta table as a stream source, the query first processes all of the data present in the table. The Delta table at this version is called the initial snapshot. By default, the Delta table’s data files are processed based on which file was last modified. However, the last modification time does not necessarily represent the record event time order.
+In a stateful streaming query with a defined watermark, processing files by modification time can result in records being processed in the wrong order. This could lead to records dropping as late events by the watermark.
+You can avoid the data drop issue by enabling the following option:
+withEventTimeOrder: Whether the initial snapshot should be processed with event time order.</p>
+</blockquote>
+<p>In our scenario, I pushed this inside Step 3 when we created the temporary streaming views.</p>
+<pre><code>spark.readStream.format(&quot;delta&quot;)
+        .option(&quot;maxFilesPerTrigger&quot;, f&quot;{maxFilesPerTrigger}&quot;)
+        .option(&quot;withEventTimeOrder&quot;, &quot;true&quot;)
+        .table(f&quot;{schema_name}.{table_name}&quot;)
+</code></pre>
+<h2 id="7-cleanup">7. Cleanup</h2>
+<p>Drop all tables in the database and delete all the checkpoints</p>
+<pre><code>spark.sql(
+    f&quot;&quot;&quot;
+    drop schema if exists {schema_name} CASCADE
+&quot;&quot;&quot;
+)
+
+
+dbutils.fs.rm(schema_storage_location, True)
+</code></pre>
+<p>If you have reached so far, you now have a working pipeline and a solid example which you can use going forward.</p>
+<h2 id="download-the-code">Download the code</h2>
+<p><a href="https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/spark_stream_stream_join.py">https://github.com/jiteshsoni/material_for_public_consumption/blob/main/notebooks/spark_stream_stream_join.py</a></p>
+<h3 id="references">References:</h3>
+<ol>
+<li>
+<p><a href="https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#stream-stream-joins">https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#stream-stream-joins</a></p>
+</li>
+<li>
+<p><a href="https://youtu.be/hyZU_bw1-ow?t=1181">https://youtu.be/hyZU_bw1-ow?t=1181</a></p>
+</li>
+<li>
+<p><a href="https://www.youtube.com/watch?v=1cBDGsSbwRA&amp;t=1500s">https://www.youtube.com/watch?v=1cBDGsSbwRA&amp;t=1500s</a></p>
+</li>
+<li>
+<p><a href="https://www.databricks.com/blog/2022/08/22/feature-deep-dive-watermarking-apache-spark-structured-streaming.html">https://www.databricks.com/blog/2022/08/22/feature-deep-dive-watermarking-apache-spark-structured-streaming.html</a></p>
+</li>
+<li>
+<p><a href="https://docs.databricks.com/structured-streaming/delta-lake.html#process-initial-snapshot-without-data-being-dropped">https://docs.databricks.com/structured-streaming/delta-lake.html#process-initial-snapshot-without-data-being-dropped</a></p>
+</li>
+</ol>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.medium.com/">other blogs and follow</a>.</p>
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+                              October 12, 2022
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+                        <div id="post-content">
+                          <h2 id="using-spark-streaming-to-mergeupsert-data-into-a-delta-lake-with-working-code">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</h2>
+<p><img src="https://cdn-images-1.medium.com/max/2000/0*7Vzrx4tKynxXNKNg.jpg" alt=""></p>
+<p>This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.</p>
+<p>Overall, the process works in the following manner, we read data from a streaming source and use this special function <a href="https://docs.databricks.com/structured-streaming/foreach.html">***foreachBatch</a>. ***Using this we will call any user-defined function responsible for all the processing. This function encapsulates the <em>Merge</em> and *Optimize *to the target Delta table.</p>
+<p>First, we need some input data to merge. You could technically make a stream out of Kafka, Kinesis, s3, etc. for simplicity. Let’s generate a stream using the below. Feel free to alter numPartitions &amp; rowsPerSecond . These parameters help you control how much volume of data you want to generate. In the below code, we generated 10,000 rows per second across 100 partitions.</p>
+<h2 id="generate-streaming-data-at-your-desired-rate">Generate streaming data at your desired rate</h2>
+<pre><code>generated_df = (
+     spark.readStream
+        .format(&quot;rate&quot;)
+        .option(&quot;numPartitions&quot;, 100)
+        .option(&quot;rowsPerSecond&quot;, 10 * 1000)
+        .load()
+        .selectExpr(
+          &quot;md5( CAST (value AS STRING) ) as md5&quot;
+          ,&quot;value&quot;
+          ,&quot;value%1000000 as hash&quot;
+        )
+)
+ 
+#display(generated_df)
+</code></pre>
+<h2 id="parameters--variables-feel-free-to-change-as-per-your-needs">Parameters / Variables (Feel free to change as per your needs)</h2>
+<pre><code>target_table_name = &quot;to_be_merged_into_table&quot;
+check_point_location = f&quot;/tmp/delta/{target_table_name}/_checkpoints/&quot;
+join_column_name =&quot;hash&quot;
+</code></pre>
+<h2 id="create-an-empty-delta-table-so-data-could-be-merged-into-it">Create an Empty Delta table so data could be merged into it</h2>
+<pre><code>spark.sql(f&quot;&quot;&quot;  DROP TABLE IF EXISTS {target_table_name};&quot;&quot;&quot;)
+(  
+  generated_df.writeStream
+  .format(&quot;delta&quot;)
+  .outputMode(&quot;append&quot;).trigger(once=True)
+  .option(&quot;checkpointLocation&quot;, check_point_location)
+  .toTable(target_table_name)
+)
+</code></pre>
+<p>Check if data is populated</p>
+<pre><code>display(spark.read.table(target_table_name))
+</code></pre>
+<h2 id="a-user-defined-function-which-does-the-data-processing-merge--optimize">A user-defined function which does the data processing, Merge &amp; Optimize</h2>
+<pre><code>def make_changes_using_the_micro_batch(microBatchOutputDF, batchId: int):
+    print(f&quot;Processing batchId: {batchId}&quot;)
+    microBatchOutputDF.createOrReplaceTempView(&quot;updates&quot;)
+    spark_session_for_this_micro_batch = microBatchOutputDF._jdf.sparkSession()
+    spark_session_for_this_micro_batch.sql(f&quot;&quot;&quot;
+      SELECT * 
+      FROM (
+        select *
+          ,rank() over(partition by {join_column_name} order by value desc) as dedupe
+        from updates
+        )
+      WHERE 
+          dedupe =1 
+   &quot;&quot;&quot;).drop(&quot;dedupe&quot;).createOrReplaceTempView(&quot;updates_which_need_to_be_merged&quot;)
+    spark_session_for_this_micro_batch.sql(f&quot;&quot;&quot;
+    MERGE INTO {target_table_name} target
+    using updates_which_need_to_be_merged u
+    on u.{join_column_name} = target.{join_column_name} 
+    WHEN MATCHED THEN UPDATE SET *
+    WHEN NOT MATCHED THEN INSERT *
+    &quot;&quot;&quot;)
+    optimize_every_n_batches = 20
+    #Define how often should optimize run? for example: at 50, it means that we will run the optimize command every 50 batches of stream data
+    if batchId % optimize_every_n_batches == 0:
+        optimize_and_zorder_table(table_name = target_table_name,  zorder_by_col_name = join_column_name)
+</code></pre>
+<h2 id="optimize-z-order-a-delta-table">Optimize/ Z-order a Delta table</h2>
+<p>Why do we need to optimize a table? If we keep adding files to our Delta table and never optimize/sort them then over time we need to read a lot of files during merge time. Thus, optimizing the Delta table after every N merges is better. N needs to be decided on your latency requirements. You could start with N as 10 and change it as per your needs.</p>
+<p>The below code will run an optimize and zorder command on a given table that is being fed by a stream. Optimize commands can’t run in a silo because it will require us to pause and then resume the stream. Therefore, we need to call this function a part of the upsert function. This enables us to optimize before the next batch of streaming data comes through.</p>
+<pre><code>from timeit import default_timer as timer
+ 
+ 
+def optimize_and_zorder_table(table_name: str, zorder_by_col_name: str) -&gt; None:
+    &quot;&quot;&quot;
+    Parameters:
+         table_name: str
+                 name of the table to be optimized
+         zorder_by_col_name: str
+                 comma separated list of columns to zorder by. example &quot;col_a, col_b, col_c&quot;
+    &quot;&quot;&quot;
+    start = timer()
+    print(f&quot;Met condition to optimize table {table_name}&quot;)
+    sql_query_optimize = f&quot;OPTIMIZE  {table_name} ZORDER BY ({zorder_by_col_name})&quot;
+    spark.sql(sql_query_optimize)
+    end = timer()
+    time_elapsed_seconds = end - start
+    print(
+        f&quot;Successfully optimized table {table_name} . Total time elapsed: {time_elapsed_seconds} seconds&quot;
+    )
+</code></pre>
+<h2 id="orchestrate-from-readstream---merge---optimize">Orchestrate from readStream -&gt; Merge -&gt; Optimize</h2>
+<pre><code>(
+  generated_df
+ .writeStream.format('delta')
+ .trigger(processingTime='30 seconds')
+ .option(&quot;checkpointLocation&quot;, check_point_location)
+ .foreachBatch(make_changes_using_the_micro_batch)
+ .start()
+)
+</code></pre>
+<p>If you have reached so far, you should have an end-to-end pipeline working with streaming data and merging data into a Delta table.</p>
+<p>As the next step, let’s use the previous target table as our new streaming source.</p>
+<h2 id="use-the-target-table-as-a-source-for-the-next-streaming-pipeline">Use the target table as a source for the next streaming pipeline</h2>
+<p>Change data feed allows Databricks to track row-level changes between versions of a Delta table. When enabled on a Delta table, the runtime records change events for all the data written into the table. This includes the row data along with metadata indicating whether the specified row was inserted, deleted, or updated.</p>
+<p>Reference: <a href="https://docs.databricks.com/delta/delta-change-data-feed.html#use-delta-lake-change-data-feed-on-databricks">https://docs.databricks.com/delta/delta-change-data-feed.html#use-delta-lake-change-data-feed-on-databricks</a></p>
+<pre><code>spark.sql(f'''
+ALTER TABLE {target_table_name} SET TBLPROPERTIES (delta.enableChangeDataFeed=true)
+''')
+</code></pre>
+<h2 id="reading-change-data-as-a-streamhttpsdocsdatabrickscomdeltadelta-change-data-feedhtmlread-changes-in-streaming-queries"><a href="https://docs.databricks.com/delta/delta-change-data-feed.html#read-changes-in-streaming-queries">Reading change data as a stream</a></h2>
+<pre><code>display(
+   spark.readStream.format(&quot;delta&quot;) 
+  .option(&quot;readChangeFeed&quot;, &quot;true&quot;) 
+  .table(target_table_name)
+)
+</code></pre>
+<h3 id="download-this-notebook">Download this notebook</h3>
+<p><a href="https://drive.google.com/file/d/1MWlHqy20j3g67uZhOLrjTDw1T8GioJZt/view?usp=sharing"><strong>Spark Streaming Using For Each Batch &amp; Merge.html</strong></a></p>
+<h2 id="footnotes">Footnotes</h2>
+<p>If you’re interested in learning more and keeping up to date with the latest about Spark, Delta, DBT, Python, SQL, Terraform, and other big data technologies, check out my <a href="https://canadiandataguy.com/">other blogs</a>.</p>
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diff --git a/public/blog/youtube/index.html b/public/blog/youtube/index.html
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/"><i class="far fa-calendar"></i> April 19, 2023</a>
+                                        </p>
+                                        
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+                                    
+                                    <p class="intro">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/" class="btn btn-template-main">Continue reading</a>
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+                                      <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">
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+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</a></h2>
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/"><i class="far fa-calendar"></i> February 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/categories/best-practices/index.xml b/public/categories/best-practices/index.xml
new file mode 100644
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+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>best practices on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/best-practices/</link>
+    <description>Recent content in best practices on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Wed, 19 Apr 2023 01:04:45 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/categories/best-practices/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</link>
+      <pubDate>Wed, 19 Apr 2023 01:04:45 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</guid>
+      <description>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</description>
+    </item>
+    <item>
+      <title>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</guid>
+      <description>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</description>
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+                                            <a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/"><i class="far fa-calendar"></i> January 27, 2023</a>
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+                                    <p class="intro">How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp; Big Data fundamentals. Here is how to prepare for each of them.</p>
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+                                    <p class="intro">Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</p>
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diff --git a/public/categories/coaching/index.xml b/public/categories/coaching/index.xml
new file mode 100644
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>coaching on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/coaching/</link>
+    <description>Recent content in coaching on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Fri, 27 Jan 2023 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/categories/coaching/index.xml" rel="self" type="application/rss+xml" />
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+      <title>How to prepare yourself to be better at Data Interviews?</title>
+      <link>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</link>
+      <pubDate>Fri, 27 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</guid>
+      <description>How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp;amp; Big Data fundamentals. Here is how to prepare for each of them.</description>
+    </item>
+    <item>
+      <title>1 on 1 Interview Coaching</title>
+      <link>https://canadiandataguy.com/blog/1-on-1-coaching/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/1-on-1-coaching/</guid>
+      <description>Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp;amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</description>
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diff --git a/public/categories/coaching/page/1/index.html b/public/categories/coaching/page/1/index.html
new file mode 100644
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+                                      <a href="https://canadiandataguy.com/blog/arcresources/">
+                                          
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+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/arcresources/">ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>
+                                          
+                                          
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+                                        </p>
+                                        
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+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/arcresources/"><i class="far fa-calendar"></i> May 24, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/arcresources/" class="btn btn-template-main">Continue reading</a>
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+                        
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+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/audantic/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/04/db-80-blog-img-2.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/audantic/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/categories/customer-stories/index.xml b/public/categories/customer-stories/index.xml
new file mode 100644
index 000000000..29ccb2202
--- /dev/null
+++ b/public/categories/customer-stories/index.xml
@@ -0,0 +1,26 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>customer stories on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/customer-stories/</link>
+    <description>Recent content in customer stories on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Tue, 24 May 2022 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/categories/customer-stories/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</title>
+      <link>https://canadiandataguy.com/blog/arcresources/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/arcresources/</guid>
+      <description>ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/categories/customer-stories/page/1/index.html b/public/categories/customer-stories/page/1/index.html
new file mode 100644
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--- /dev/null
+++ b/public/categories/customer-stories/page/1/index.html
@@ -0,0 +1,10 @@
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+<html lang="en-us">
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diff --git a/public/categories/databricks/index.html b/public/categories/databricks/index.html
new file mode 100644
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+                                      <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">Solving Delta Table Concurrency Issues</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/"><i class="far fa-calendar"></i> September 30, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/10000/0*lFrzWG4v-HT_emCP" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/">Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/"><i class="far fa-calendar"></i> September 15, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/"><i class="far fa-calendar"></i> September 12, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/"><i class="far fa-calendar"></i> June 6, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2000/1*DwwMNsSfkCZsXZowaIilhA.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">How to Cut Your Data Processing Costs by 30% with Graviton</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/"><i class="far fa-calendar"></i> April 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">How to write your first Spark application with Stream-Stream Joins with working code.</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/"><i class="far fa-calendar"></i> March 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">
+                                          
+                                          <img src="https://images.unsplash.com/photo-1574645434327-cb7970fe2e13?ixlib=rb-4.0.3&amp;ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&amp;auto=format&amp;fit=crop&amp;w=774&amp;q=80" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">Dive Deep into Spark Streaming Checkpoint</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/"><i class="far fa-calendar"></i> March 21, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*fnEnj3G9nKFHpHUI" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">Delta Live Tables Advanced Q &amp; A</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/"><i class="far fa-calendar"></i> March 3, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Delta Live Tables Advanced Q &amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*On2cbUBjrA__byVR" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/best-practices">best practices</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/"><i class="far fa-calendar"></i> February 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*bPfmY6lG-OxW2l1s5szFsQ.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/">How to get the Job ID and Run ID for a Databricks Job</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/"><i class="far fa-calendar"></i> February 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&quot;&quot;&quot; job_id: {dbutils.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
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diff --git a/public/categories/databricks/index.xml b/public/categories/databricks/index.xml
new file mode 100644
index 000000000..647a6fa4a
--- /dev/null
+++ b/public/categories/databricks/index.xml
@@ -0,0 +1,134 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>databricks on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/databricks/</link>
+    <description>Recent content in databricks on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Sat, 30 Sep 2023 17:29:06 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/categories/databricks/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Solving Delta Table Concurrency Issues</title>
+      <link>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</guid>
+      <description>Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</description>
+    </item>
+    <item>
+      <title>Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</title>
+      <link>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</link>
+      <pubDate>Fri, 15 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</guid>
+      <description>Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&amp;rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</description>
+    </item>
+    <item>
+      <title>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</title>
+      <link>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</link>
+      <pubDate>Tue, 12 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</guid>
+      <description>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</description>
+    </item>
+    <item>
+      <title>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</title>
+      <link>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</guid>
+      <description>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp;amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</description>
+    </item>
+    <item>
+      <title>How to Cut Your Data Processing Costs by 30% with Graviton</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</link>
+      <pubDate>Sun, 23 Apr 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</guid>
+      <description>How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</description>
+    </item>
+    <item>
+      <title>How to write your first Spark application with Stream-Stream Joins with working code.</title>
+      <link>https://canadiandataguy.com/blog/spark-stream-stream-join/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/spark-stream-stream-join/</guid>
+      <description>How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</description>
+    </item>
+    <item>
+      <title>Dive Deep into Spark Streaming Checkpoint</title>
+      <link>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</link>
+      <pubDate>Tue, 21 Mar 2023 06:14:44 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</guid>
+      <description>From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</description>
+    </item>
+    <item>
+      <title>Delta Live Tables Advanced Q &amp; A</title>
+      <link>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</link>
+      <pubDate>Fri, 03 Mar 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</guid>
+      <description>Delta Live Tables Advanced Q &amp;amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</description>
+    </item>
+    <item>
+      <title>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</guid>
+      <description>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</description>
+    </item>
+    <item>
+      <title>How to get the Job ID and Run ID for a Databricks Job</title>
+      <link>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</guid>
+      <description>How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&amp;quot;&amp;quot;&amp;quot; job_id: {dbutils.</description>
+    </item>
+    <item>
+      <title>How I wrote my first Spark Streaming Application with Joins?</title>
+      <link>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</guid>
+      <description>How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</description>
+    </item>
+    <item>
+      <title>How to parameterize Delta Live Tables and import reusable functions</title>
+      <link>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</link>
+      <pubDate>Tue, 13 Dec 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</guid>
+      <description>How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</description>
+    </item>
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/categories/databricks/page/1/index.html b/public/categories/databricks/page/1/index.html
new file mode 100644
index 000000000..11d62a474
--- /dev/null
+++ b/public/categories/databricks/page/1/index.html
@@ -0,0 +1,10 @@
+<!DOCTYPE html>
+<html lang="en-us">
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diff --git a/public/categories/databricks/page/2/index.html b/public/categories/databricks/page/2/index.html
new file mode 100644
index 000000000..998b0f349
--- /dev/null
+++ b/public/categories/databricks/page/2/index.html
@@ -0,0 +1,1051 @@
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+            <div class="container">
+                <div class="row">
+                    
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+                            <div class="row">
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+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*IUhD1QKtwgHKBdb8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">How I wrote my first Spark Streaming Application with Joins?</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*-xOdeCgLJ0kOG2oG" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">How to parameterize Delta Live Tables and import reusable functions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/"><i class="far fa-calendar"></i> December 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*mJcyWScvq8JuU0cg_yQN5g.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/audantic/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/04/db-80-blog-img-2.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
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+                                        <p class="author-category">
+                                          
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+                                          
+                                          in 
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+                                              <a href="/categories/customer-stories">customer stories</a>, 
+                                              <a href="/categories/databricks">databricks</a>
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
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+                <a href="/categories/interviewing">INTERVIEWING (1)</a>
+            </li>
+            
+            <li>
+                <a href="/categories/spark">SPARK (5)</a>
+            </li>
+            
+            <li>
+                <a href="/categories/spark-streaming">SPARK-STREAMING (7)</a>
+            </li>
+            
+            <li>
+                <a href="/categories/streaming">STREAMING (8)</a>
+            </li>
+            
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+    </div>
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+
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+<div class="panel sidebar-menu">
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+    <div class="panel-heading">
+        <h3 class="panel-title">Tags</h3>
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+        <ul class="tag-cloud">
+            
+            
+            <li >
+                <a href="/tags/books"><i class="fas fa-tags"></i> books</a>
+            </li>
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+            <li >
+                <a href="/tags/checkpoint"><i class="fas fa-tags"></i> checkpoint</a>
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+                <a href="/tags/concurrency"><i class="fas fa-tags"></i> concurrency</a>
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+                <a href="/tags/dbsql"><i class="fas fa-tags"></i> dbsql</a>
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+                <a href="/tags/delta"><i class="fas fa-tags"></i> delta</a>
+            </li>
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+                <a href="/tags/interviewing"><i class="fas fa-tags"></i> interviewing</a>
+            </li>
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+            </li>
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+            <li >
+                <a href="/tags/kafka"><i class="fas fa-tags"></i> kafka</a>
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+            
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+                <a href="/tags/merge"><i class="fas fa-tags"></i> merge</a>
+            </li>
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+                <a href="/tags/optimize"><i class="fas fa-tags"></i> optimize</a>
+            </li>
+            
+            <li >
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+            </li>
+            
+            <li >
+                <a href="/tags/python"><i class="fas fa-tags"></i> python</a>
+            </li>
+            
+            <li >
+                <a href="/tags/run_id"><i class="fas fa-tags"></i> run_id</a>
+            </li>
+            
+            <li >
+                <a href="/tags/spark"><i class="fas fa-tags"></i> spark</a>
+            </li>
+            
+            <li >
+                <a href="/tags/spark-streaming"><i class="fas fa-tags"></i> spark-streaming</a>
+            </li>
+            
+            <li >
+                <a href="/tags/streaming"><i class="fas fa-tags"></i> streaming</a>
+            </li>
+            
+            <li >
+                <a href="/tags/workspace"><i class="fas fa-tags"></i> workspace</a>
+            </li>
+            
+            <li >
+                <a href="/tags/youtube"><i class="fas fa-tags"></i> youtube</a>
+            </li>
+            
+            <li >
+                <a href="/tags/z-order"><i class="fas fa-tags"></i> z-order</a>
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+        </ul>
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+                        
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diff --git a/public/categories/index.xml b/public/categories/index.xml
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+    <description>Recent content in Categories on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
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+    <item>
+      <title>databricks</title>
+      <link>https://canadiandataguy.com/categories/databricks/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/categories/databricks/</guid>
+      <description></description>
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+    <item>
+      <title>spark</title>
+      <link>https://canadiandataguy.com/categories/spark/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/categories/spark/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>best practices</title>
+      <link>https://canadiandataguy.com/categories/best-practices/</link>
+      <pubDate>Wed, 19 Apr 2023 01:04:45 +0000</pubDate>
+      <guid>https://canadiandataguy.com/categories/best-practices/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>spark streaming</title>
+      <link>https://canadiandataguy.com/categories/spark-streaming/</link>
+      <pubDate>Wed, 19 Apr 2023 01:04:45 +0000</pubDate>
+      <guid>https://canadiandataguy.com/categories/spark-streaming/</guid>
+      <description></description>
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+    <item>
+      <title>streaming</title>
+      <link>https://canadiandataguy.com/categories/streaming/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/categories/streaming/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>coaching</title>
+      <link>https://canadiandataguy.com/categories/coaching/</link>
+      <pubDate>Fri, 27 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/categories/coaching/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>interviewing</title>
+      <link>https://canadiandataguy.com/categories/interviewing/</link>
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+      <description></description>
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+    <item>
+      <title>customer stories</title>
+      <link>https://canadiandataguy.com/categories/customer-stories/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/categories/customer-stories/</guid>
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+                                    <h2><a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/">How to prepare yourself to be better at Data Interviews?</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/"><i class="far fa-calendar"></i> January 27, 2023</a>
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+                                    
+                                    <p class="intro">How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp; Big Data fundamentals. Here is how to prepare for each of them.</p>
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diff --git a/public/categories/interviewing/index.xml b/public/categories/interviewing/index.xml
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+    <title>interviewing on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/interviewing/</link>
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+    <generator>Hugo -- gohugo.io</generator>
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+      <title>How to prepare yourself to be better at Data Interviews?</title>
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+      <pubDate>Fri, 27 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</guid>
+      <description>How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp;amp; Big Data fundamentals. Here is how to prepare for each of them.</description>
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</a></h2>
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+                                    </div>
+                                    
+                                    <p class="intro">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*fnEnj3G9nKFHpHUI" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">Delta Live Tables Advanced Q &amp; A</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/"><i class="far fa-calendar"></i> March 3, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Delta Live Tables Advanced Q &amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*IUhD1QKtwgHKBdb8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">How I wrote my first Spark Streaming Application with Joins?</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*42drq4qeYGri5KRH" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">How to upgrade your Spark Stream application with a new checkpoint!</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*-xOdeCgLJ0kOG2oG" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">How to parameterize Delta Live Tables and import reusable functions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/"><i class="far fa-calendar"></i> December 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*mJcyWScvq8JuU0cg_yQN5g.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
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diff --git a/public/categories/spark-streaming/index.xml b/public/categories/spark-streaming/index.xml
new file mode 100644
index 000000000..4ae63ae6a
--- /dev/null
+++ b/public/categories/spark-streaming/index.xml
@@ -0,0 +1,73 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>spark streaming on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/spark-streaming/</link>
+    <description>Recent content in spark streaming on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Wed, 19 Apr 2023 01:04:45 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/categories/spark-streaming/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</link>
+      <pubDate>Wed, 19 Apr 2023 01:04:45 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</guid>
+      <description>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</description>
+    </item>
+    <item>
+      <title>Delta Live Tables Advanced Q &amp; A</title>
+      <link>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</link>
+      <pubDate>Fri, 03 Mar 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</guid>
+      <description>Delta Live Tables Advanced Q &amp;amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</description>
+    </item>
+    <item>
+      <title>How I wrote my first Spark Streaming Application with Joins?</title>
+      <link>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</guid>
+      <description>How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</description>
+    </item>
+    <item>
+      <title>How to upgrade your Spark Stream application with a new checkpoint!</title>
+      <link>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</guid>
+      <description>How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</description>
+    </item>
+    <item>
+      <title>How to parameterize Delta Live Tables and import reusable functions</title>
+      <link>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</link>
+      <pubDate>Tue, 13 Dec 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</guid>
+      <description>How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</description>
+    </item>
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/categories/spark-streaming/page/1/index.html b/public/categories/spark-streaming/page/1/index.html
new file mode 100644
index 000000000..bf1ba4b2a
--- /dev/null
+++ b/public/categories/spark-streaming/page/1/index.html
@@ -0,0 +1,10 @@
+<!DOCTYPE html>
+<html lang="en-us">
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+                                      <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">Solving Delta Table Concurrency Issues</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
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+                                            
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+                                        
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+                                        
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+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/"><i class="far fa-calendar"></i> September 30, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/10000/0*lFrzWG4v-HT_emCP" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/">Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
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+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/"><i class="far fa-calendar"></i> September 15, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/"><i class="far fa-calendar"></i> September 12, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
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+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/"><i class="far fa-calendar"></i> June 6, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2000/1*DwwMNsSfkCZsXZowaIilhA.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">How to Cut Your Data Processing Costs by 30% with Graviton</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/"><i class="far fa-calendar"></i> April 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/categories/spark/index.xml b/public/categories/spark/index.xml
new file mode 100644
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+++ b/public/categories/spark/index.xml
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>spark on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/spark/</link>
+    <description>Recent content in spark on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Sat, 30 Sep 2023 17:29:06 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/categories/spark/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Solving Delta Table Concurrency Issues</title>
+      <link>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</guid>
+      <description>Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</description>
+    </item>
+    <item>
+      <title>Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</title>
+      <link>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</link>
+      <pubDate>Fri, 15 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</guid>
+      <description>Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&amp;rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</description>
+    </item>
+    <item>
+      <title>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</title>
+      <link>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</link>
+      <pubDate>Tue, 12 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</guid>
+      <description>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</description>
+    </item>
+    <item>
+      <title>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</title>
+      <link>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</guid>
+      <description>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp;amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</description>
+    </item>
+    <item>
+      <title>How to Cut Your Data Processing Costs by 30% with Graviton</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</link>
+      <pubDate>Sun, 23 Apr 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</guid>
+      <description>How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/categories/spark/page/1/index.html b/public/categories/spark/page/1/index.html
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+            <div class="container">
+                <div class="row">
+                    
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+                                      <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">How to write your first Spark application with Stream-Stream Joins with working code.</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/"><i class="far fa-calendar"></i> March 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">
+                                          
+                                          <img src="https://images.unsplash.com/photo-1574645434327-cb7970fe2e13?ixlib=rb-4.0.3&amp;ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&amp;auto=format&amp;fit=crop&amp;w=774&amp;q=80" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">Dive Deep into Spark Streaming Checkpoint</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
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+                                        
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+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/"><i class="far fa-calendar"></i> March 21, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*fnEnj3G9nKFHpHUI" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">Delta Live Tables Advanced Q &amp; A</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/"><i class="far fa-calendar"></i> March 3, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Delta Live Tables Advanced Q &amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*IUhD1QKtwgHKBdb8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">How I wrote my first Spark Streaming Application with Joins?</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*42drq4qeYGri5KRH" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">How to upgrade your Spark Stream application with a new checkpoint!</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
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+                                        
+                                            
+                                        
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+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*-xOdeCgLJ0kOG2oG" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">How to parameterize Delta Live Tables and import reusable functions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/"><i class="far fa-calendar"></i> December 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*mJcyWScvq8JuU0cg_yQN5g.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
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+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
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diff --git a/public/categories/streaming/index.xml b/public/categories/streaming/index.xml
new file mode 100644
index 000000000..493d93448
--- /dev/null
+++ b/public/categories/streaming/index.xml
@@ -0,0 +1,82 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>streaming on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/categories/streaming/</link>
+    <description>Recent content in streaming on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 23 Mar 2023 06:32:42 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/categories/streaming/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>How to write your first Spark application with Stream-Stream Joins with working code.</title>
+      <link>https://canadiandataguy.com/blog/spark-stream-stream-join/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/spark-stream-stream-join/</guid>
+      <description>How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</description>
+    </item>
+    <item>
+      <title>Dive Deep into Spark Streaming Checkpoint</title>
+      <link>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</link>
+      <pubDate>Tue, 21 Mar 2023 06:14:44 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</guid>
+      <description>From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</description>
+    </item>
+    <item>
+      <title>Delta Live Tables Advanced Q &amp; A</title>
+      <link>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</link>
+      <pubDate>Fri, 03 Mar 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</guid>
+      <description>Delta Live Tables Advanced Q &amp;amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</description>
+    </item>
+    <item>
+      <title>How I wrote my first Spark Streaming Application with Joins?</title>
+      <link>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</guid>
+      <description>How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</description>
+    </item>
+    <item>
+      <title>How to upgrade your Spark Stream application with a new checkpoint!</title>
+      <link>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</guid>
+      <description>How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</description>
+    </item>
+    <item>
+      <title>How to parameterize Delta Live Tables and import reusable functions</title>
+      <link>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</link>
+      <pubDate>Tue, 13 Dec 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</guid>
+      <description>How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</description>
+    </item>
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/categories/streaming/page/1/index.html b/public/categories/streaming/page/1/index.html
new file mode 100644
index 000000000..b904db8fc
--- /dev/null
+++ b/public/categories/streaming/page/1/index.html
@@ -0,0 +1,10 @@
+<!DOCTYPE html>
+<html lang="en-us">
+  <head>
+    <title>https://canadiandataguy.com/categories/streaming/</title>
+    <link rel="canonical" href="https://canadiandataguy.com/categories/streaming/">
+    <meta name="robots" content="noindex">
+    <meta charset="utf-8">
+    <meta http-equiv="refresh" content="0; url=https://canadiandataguy.com/categories/streaming/">
+  </head>
+</html>
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new file mode 100644
index 000000000..d7d400e2e
--- /dev/null
+++ b/public/contact/index.html
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+        <li><a href="mailto:info@canadiandataguy.com" target="_blank"><svg height="50" viewBox="0 0 50 50" width="50" xmlns="http://www.w3.org/2000/svg"><g fill="none" fill-rule="evenodd"><path d="m46.149789 6h-42.29957803c-2.12025316 0-3.85021097 1.72995781-3.85021097 3.85021097v29.78902953c0 2.1202532 1.72995781 3.850211 3.85021097 3.850211h42.29957803c2.1202532 0 3.850211-1.7299578 3.850211-3.850211v-29.78902953c0-2.12025316-1.7299578-3.85021097-3.850211-3.85021097zm-.5590717 2.84810127-20.3270042 17.38396623-20.32700424-17.38396623zm1.5611814 30.79113923c0 .5485232-.4535865 1.0021097-1.0021097 1.0021097h-42.29957803c-.54852321 0-1.0021097-.4535865-1.0021097-1.0021097v-28.8291139l21.48734173 18.3755274c.0105486.0105485.0316456.0210971.0421941.0316456.0105486.0105485.0316456.021097.0421941.0316455.0316456.0210971.0527426.0421941.0843882.0527427.0105485.0105485.0210971.0105485.0316456.021097.0421941.0210971.0843882.0421941.1265823.0632911.0105485 0 .021097.0105486.0316455.0105486.0316456.0105485.0632912.0316455.1054853.0421941.0105485 0 .0316455.0105485.0421941.0105485.0316455.0105485.0632911.021097.0949367.021097.0105485 0 .0316455.0105486.0421941.0105486.0316455.0105485.0738396.0105485.1054852.021097h.0316456c.042194 0 .0949367.0105485.1371308.0105485.042194 0 .0949367 0 .1371308-.0105485h.0316455c.0316456 0 .0738397-.0105485.1054853-.021097.0105485 0 .0316455-.0105486.0421941-.0105486.0316455-.0105485.0632911-.021097.0949367-.021097.0105485 0 .0316455-.0105485.0421941-.0105485.0316455-.0105486.0632911-.0210971.1054852-.0421941.0105485 0 .021097-.0105486.0316456-.0105486.042194-.021097.0843881-.042194.1265822-.0632911.0105486-.0105485.0210971-.0105485.0316456-.021097.0316456-.0210971.0527426-.0316456.0843882-.0527427.0105485-.0105485.0316456-.021097.0421941-.0316455s.0316456-.0210971.0421941-.0316456l20.9810126-17.9219409z" fill="#d5d5d5" class="will-change" fill-rule="nonzero"/><path d="m0 0h50v50h-50z"/></g></svg></a></li>
+    </ul>
+</nav>
+<style>
+.sharebuttons, .sharebuttons ul {display: flex; margin: 0.25rem 0; align-items: center;}
+.sharebuttons span {color: #bbb;}
+.sharebuttons ul li {list-style: none; margin: 0;}
+.sharebuttons ul li a {margin: 0 0.5rem; display: block;}
+.sharebuttons ul li:first-child a {margin: 0 0.2rem 0 0.5rem;}
+.sharebuttons ul li a svg {width: auto; height:4.1rem; display: block;}
+.will-change {transition: 250ms;} 
+nav.sharebuttons li > a:hover .will-change { fill: #444444 }
+</style>
+        
+        
+
+    </div>
+    
+</footer>
+
+
+
+
+
+
+
+<div id="copyright">
+    <div class="container">
+        <div class="col-md-12">
+            
+            <p class="pull-left">Copyright (c) 2023, Canadian Data Guy Corp; all rights reserved.</p>
+            
+            <p class="pull-right">
+              Template by <a href="https://bootstrapious.com/p/universal-business-e-commerce-template">Bootstrapious</a>.
+              
+
+              Ported to Hugo by <a href="https://github.com/devcows/hugo-universal-theme">DevCows</a>.
+            </p>
+        </div>
+    </div>
+</div>
+
+
+
+
+
+    </div>
+    
+
+    
+<script src="//code.jquery.com/jquery-3.1.1.min.js" integrity="sha256-hVVnYaiADRTO2PzUGmuLJr8BLUSjGIZsDYGmIJLv2b8=" crossorigin="anonymous"></script>
+<script src="//maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
+
+<script src="//cdnjs.cloudflare.com/ajax/libs/jquery-cookie/1.4.1/jquery.cookie.min.js"></script>
+<script src="//cdnjs.cloudflare.com/ajax/libs/waypoints/4.0.1/jquery.waypoints.min.js"></script>
+<script src="//cdnjs.cloudflare.com/ajax/libs/Counter-Up/1.0/jquery.counterup.min.js"></script>
+<script src="//cdnjs.cloudflare.com/ajax/libs/jquery-parallax/1.1.3/jquery-parallax.js"></script>
+
+
+<script src="/js/front.js"></script>
+
+
+<script src="/js/owl.carousel.min.js"></script>
+
+
+
+  </body>
+</html>
diff --git a/public/css/animate.css b/public/css/animate.css
new file mode 100644
index 000000000..f784ce8f6
--- /dev/null
+++ b/public/css/animate.css
@@ -0,0 +1,3158 @@
+@charset "UTF-8";
+/*!
+Animate.css - http://daneden.me/animate
+Licensed under the MIT license - http://opensource.org/licenses/MIT
+
+Copyright (c) 2014 Daniel Eden
+*/
+
+.animated {
+  -webkit-animation-duration: 1s;
+          animation-duration: 1s;
+  -webkit-animation-fill-mode: both;
+          animation-fill-mode: both;
+}
+
+.animated.infinite {
+  -webkit-animation-iteration-count: infinite;
+          animation-iteration-count: infinite;
+}
+
+.animated.hinge {
+  -webkit-animation-duration: 2s;
+          animation-duration: 2s;
+}
+
+@-webkit-keyframes bounce {
+  0%, 20%, 53%, 80%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+    -webkit-transform: translate3d(0,0,0);
+            transform: translate3d(0,0,0);
+  }
+
+  40%, 43% {
+    -webkit-transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+            transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+    -webkit-transform: translate3d(0, -30px, 0);
+            transform: translate3d(0, -30px, 0);
+  }
+
+  70% {
+    -webkit-transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+            transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+    -webkit-transform: translate3d(0, -15px, 0);
+            transform: translate3d(0, -15px, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(0,-4px,0);
+            transform: translate3d(0,-4px,0);
+  }
+}
+
+@keyframes bounce {
+  0%, 20%, 53%, 80%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+    -webkit-transform: translate3d(0,0,0);
+            transform: translate3d(0,0,0);
+  }
+
+  40%, 43% {
+    -webkit-transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+            transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+    -webkit-transform: translate3d(0, -30px, 0);
+            transform: translate3d(0, -30px, 0);
+  }
+
+  70% {
+    -webkit-transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+            transition-timing-function: cubic-bezier(0.755, 0.050, 0.855, 0.060);
+    -webkit-transform: translate3d(0, -15px, 0);
+            transform: translate3d(0, -15px, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(0,-4px,0);
+            transform: translate3d(0,-4px,0);
+  }
+}
+
+.bounce {
+  -webkit-animation-name: bounce;
+          animation-name: bounce;
+  -webkit-transform-origin: center bottom;
+      -ms-transform-origin: center bottom;
+          transform-origin: center bottom;
+}
+
+@-webkit-keyframes flash {
+  0%, 50%, 100% {
+    opacity: 1;
+  }
+
+  25%, 75% {
+    opacity: 0;
+  }
+}
+
+@keyframes flash {
+  0%, 50%, 100% {
+    opacity: 1;
+  }
+
+  25%, 75% {
+    opacity: 0;
+  }
+}
+
+.flash {
+  -webkit-animation-name: flash;
+          animation-name: flash;
+}
+
+/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */
+
+@-webkit-keyframes pulse {
+  0% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+
+  50% {
+    -webkit-transform: scale3d(1.05, 1.05, 1.05);
+            transform: scale3d(1.05, 1.05, 1.05);
+  }
+
+  100% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+@keyframes pulse {
+  0% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+
+  50% {
+    -webkit-transform: scale3d(1.05, 1.05, 1.05);
+            transform: scale3d(1.05, 1.05, 1.05);
+  }
+
+  100% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+.pulse {
+  -webkit-animation-name: pulse;
+          animation-name: pulse;
+}
+
+@-webkit-keyframes rubberBand {
+  0% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+
+  30% {
+    -webkit-transform: scale3d(1.25, 0.75, 1);
+            transform: scale3d(1.25, 0.75, 1);
+  }
+
+  40% {
+    -webkit-transform: scale3d(0.75, 1.25, 1);
+            transform: scale3d(0.75, 1.25, 1);
+  }
+
+  50% {
+    -webkit-transform: scale3d(1.15, 0.85, 1);
+            transform: scale3d(1.15, 0.85, 1);
+  }
+
+  65% {
+    -webkit-transform: scale3d(.95, 1.05, 1);
+            transform: scale3d(.95, 1.05, 1);
+  }
+
+  75% {
+    -webkit-transform: scale3d(1.05, .95, 1);
+            transform: scale3d(1.05, .95, 1);
+  }
+
+  100% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+@keyframes rubberBand {
+  0% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+
+  30% {
+    -webkit-transform: scale3d(1.25, 0.75, 1);
+            transform: scale3d(1.25, 0.75, 1);
+  }
+
+  40% {
+    -webkit-transform: scale3d(0.75, 1.25, 1);
+            transform: scale3d(0.75, 1.25, 1);
+  }
+
+  50% {
+    -webkit-transform: scale3d(1.15, 0.85, 1);
+            transform: scale3d(1.15, 0.85, 1);
+  }
+
+  65% {
+    -webkit-transform: scale3d(.95, 1.05, 1);
+            transform: scale3d(.95, 1.05, 1);
+  }
+
+  75% {
+    -webkit-transform: scale3d(1.05, .95, 1);
+            transform: scale3d(1.05, .95, 1);
+  }
+
+  100% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+.rubberBand {
+  -webkit-animation-name: rubberBand;
+          animation-name: rubberBand;
+}
+
+@-webkit-keyframes shake {
+  0%, 100% {
+    -webkit-transform: translate3d(0, 0, 0);
+            transform: translate3d(0, 0, 0);
+  }
+
+  10%, 30%, 50%, 70%, 90% {
+    -webkit-transform: translate3d(-10px, 0, 0);
+            transform: translate3d(-10px, 0, 0);
+  }
+
+  20%, 40%, 60%, 80% {
+    -webkit-transform: translate3d(10px, 0, 0);
+            transform: translate3d(10px, 0, 0);
+  }
+}
+
+@keyframes shake {
+  0%, 100% {
+    -webkit-transform: translate3d(0, 0, 0);
+            transform: translate3d(0, 0, 0);
+  }
+
+  10%, 30%, 50%, 70%, 90% {
+    -webkit-transform: translate3d(-10px, 0, 0);
+            transform: translate3d(-10px, 0, 0);
+  }
+
+  20%, 40%, 60%, 80% {
+    -webkit-transform: translate3d(10px, 0, 0);
+            transform: translate3d(10px, 0, 0);
+  }
+}
+
+.shake {
+  -webkit-animation-name: shake;
+          animation-name: shake;
+}
+
+@-webkit-keyframes swing {
+  20% {
+    -webkit-transform: rotate3d(0, 0, 1, 15deg);
+            transform: rotate3d(0, 0, 1, 15deg);
+  }
+
+  40% {
+    -webkit-transform: rotate3d(0, 0, 1, -10deg);
+            transform: rotate3d(0, 0, 1, -10deg);
+  }
+
+  60% {
+    -webkit-transform: rotate3d(0, 0, 1, 5deg);
+            transform: rotate3d(0, 0, 1, 5deg);
+  }
+
+  80% {
+    -webkit-transform: rotate3d(0, 0, 1, -5deg);
+            transform: rotate3d(0, 0, 1, -5deg);
+  }
+
+  100% {
+    -webkit-transform: rotate3d(0, 0, 1, 0deg);
+            transform: rotate3d(0, 0, 1, 0deg);
+  }
+}
+
+@keyframes swing {
+  20% {
+    -webkit-transform: rotate3d(0, 0, 1, 15deg);
+            transform: rotate3d(0, 0, 1, 15deg);
+  }
+
+  40% {
+    -webkit-transform: rotate3d(0, 0, 1, -10deg);
+            transform: rotate3d(0, 0, 1, -10deg);
+  }
+
+  60% {
+    -webkit-transform: rotate3d(0, 0, 1, 5deg);
+            transform: rotate3d(0, 0, 1, 5deg);
+  }
+
+  80% {
+    -webkit-transform: rotate3d(0, 0, 1, -5deg);
+            transform: rotate3d(0, 0, 1, -5deg);
+  }
+
+  100% {
+    -webkit-transform: rotate3d(0, 0, 1, 0deg);
+            transform: rotate3d(0, 0, 1, 0deg);
+  }
+}
+
+.swing {
+  -webkit-transform-origin: top center;
+      -ms-transform-origin: top center;
+          transform-origin: top center;
+  -webkit-animation-name: swing;
+          animation-name: swing;
+}
+
+@-webkit-keyframes tada {
+  0% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+
+  10%, 20% {
+    -webkit-transform: scale3d(.9, .9, .9) rotate3d(0, 0, 1, -3deg);
+            transform: scale3d(.9, .9, .9) rotate3d(0, 0, 1, -3deg);
+  }
+
+  30%, 50%, 70%, 90% {
+    -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg);
+            transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg);
+  }
+
+  40%, 60%, 80% {
+    -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg);
+            transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg);
+  }
+
+  100% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+@keyframes tada {
+  0% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+
+  10%, 20% {
+    -webkit-transform: scale3d(.9, .9, .9) rotate3d(0, 0, 1, -3deg);
+            transform: scale3d(.9, .9, .9) rotate3d(0, 0, 1, -3deg);
+  }
+
+  30%, 50%, 70%, 90% {
+    -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg);
+            transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, 3deg);
+  }
+
+  40%, 60%, 80% {
+    -webkit-transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg);
+            transform: scale3d(1.1, 1.1, 1.1) rotate3d(0, 0, 1, -3deg);
+  }
+
+  100% {
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+.tada {
+  -webkit-animation-name: tada;
+          animation-name: tada;
+}
+
+/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */
+
+@-webkit-keyframes wobble {
+  0% {
+    -webkit-transform: none;
+            transform: none;
+  }
+
+  15% {
+    -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg);
+            transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg);
+  }
+
+  30% {
+    -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg);
+            transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg);
+  }
+
+  45% {
+    -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg);
+            transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg);
+  }
+
+  60% {
+    -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg);
+            transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg);
+  }
+
+  75% {
+    -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg);
+            transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes wobble {
+  0% {
+    -webkit-transform: none;
+            transform: none;
+  }
+
+  15% {
+    -webkit-transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg);
+            transform: translate3d(-25%, 0, 0) rotate3d(0, 0, 1, -5deg);
+  }
+
+  30% {
+    -webkit-transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg);
+            transform: translate3d(20%, 0, 0) rotate3d(0, 0, 1, 3deg);
+  }
+
+  45% {
+    -webkit-transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg);
+            transform: translate3d(-15%, 0, 0) rotate3d(0, 0, 1, -3deg);
+  }
+
+  60% {
+    -webkit-transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg);
+            transform: translate3d(10%, 0, 0) rotate3d(0, 0, 1, 2deg);
+  }
+
+  75% {
+    -webkit-transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg);
+            transform: translate3d(-5%, 0, 0) rotate3d(0, 0, 1, -1deg);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.wobble {
+  -webkit-animation-name: wobble;
+          animation-name: wobble;
+}
+
+@-webkit-keyframes bounceIn {
+  0%, 20%, 40%, 60%, 80%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+
+  20% {
+    -webkit-transform: scale3d(1.1, 1.1, 1.1);
+            transform: scale3d(1.1, 1.1, 1.1);
+  }
+
+  40% {
+    -webkit-transform: scale3d(.9, .9, .9);
+            transform: scale3d(.9, .9, .9);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(1.03, 1.03, 1.03);
+            transform: scale3d(1.03, 1.03, 1.03);
+  }
+
+  80% {
+    -webkit-transform: scale3d(.97, .97, .97);
+            transform: scale3d(.97, .97, .97);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+@keyframes bounceIn {
+  0%, 20%, 40%, 60%, 80%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+
+  20% {
+    -webkit-transform: scale3d(1.1, 1.1, 1.1);
+            transform: scale3d(1.1, 1.1, 1.1);
+  }
+
+  40% {
+    -webkit-transform: scale3d(.9, .9, .9);
+            transform: scale3d(.9, .9, .9);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(1.03, 1.03, 1.03);
+            transform: scale3d(1.03, 1.03, 1.03);
+  }
+
+  80% {
+    -webkit-transform: scale3d(.97, .97, .97);
+            transform: scale3d(.97, .97, .97);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: scale3d(1, 1, 1);
+            transform: scale3d(1, 1, 1);
+  }
+}
+
+.bounceIn {
+  -webkit-animation-name: bounceIn;
+          animation-name: bounceIn;
+  -webkit-animation-duration: .75s;
+          animation-duration: .75s;
+}
+
+@-webkit-keyframes bounceInDown {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -3000px, 0);
+            transform: translate3d(0, -3000px, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, 25px, 0);
+            transform: translate3d(0, 25px, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(0, -10px, 0);
+            transform: translate3d(0, -10px, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(0, 5px, 0);
+            transform: translate3d(0, 5px, 0);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes bounceInDown {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -3000px, 0);
+            transform: translate3d(0, -3000px, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, 25px, 0);
+            transform: translate3d(0, 25px, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(0, -10px, 0);
+            transform: translate3d(0, -10px, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(0, 5px, 0);
+            transform: translate3d(0, 5px, 0);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.bounceInDown {
+  -webkit-animation-name: bounceInDown;
+          animation-name: bounceInDown;
+}
+
+@-webkit-keyframes bounceInLeft {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-3000px, 0, 0);
+            transform: translate3d(-3000px, 0, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(25px, 0, 0);
+            transform: translate3d(25px, 0, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(-10px, 0, 0);
+            transform: translate3d(-10px, 0, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(5px, 0, 0);
+            transform: translate3d(5px, 0, 0);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes bounceInLeft {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-3000px, 0, 0);
+            transform: translate3d(-3000px, 0, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(25px, 0, 0);
+            transform: translate3d(25px, 0, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(-10px, 0, 0);
+            transform: translate3d(-10px, 0, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(5px, 0, 0);
+            transform: translate3d(5px, 0, 0);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.bounceInLeft {
+  -webkit-animation-name: bounceInLeft;
+          animation-name: bounceInLeft;
+}
+
+@-webkit-keyframes bounceInRight {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(3000px, 0, 0);
+            transform: translate3d(3000px, 0, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(-25px, 0, 0);
+            transform: translate3d(-25px, 0, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(10px, 0, 0);
+            transform: translate3d(10px, 0, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(-5px, 0, 0);
+            transform: translate3d(-5px, 0, 0);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes bounceInRight {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(3000px, 0, 0);
+            transform: translate3d(3000px, 0, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(-25px, 0, 0);
+            transform: translate3d(-25px, 0, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(10px, 0, 0);
+            transform: translate3d(10px, 0, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(-5px, 0, 0);
+            transform: translate3d(-5px, 0, 0);
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.bounceInRight {
+  -webkit-animation-name: bounceInRight;
+          animation-name: bounceInRight;
+}
+
+@-webkit-keyframes bounceInUp {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 3000px, 0);
+            transform: translate3d(0, 3000px, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, -20px, 0);
+            transform: translate3d(0, -20px, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(0, 10px, 0);
+            transform: translate3d(0, 10px, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(0, -5px, 0);
+            transform: translate3d(0, -5px, 0);
+  }
+
+  100% {
+    -webkit-transform: translate3d(0, 0, 0);
+            transform: translate3d(0, 0, 0);
+  }
+}
+
+@keyframes bounceInUp {
+  0%, 60%, 75%, 90%, 100% {
+    -webkit-transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+            transition-timing-function: cubic-bezier(0.215, 0.610, 0.355, 1.000);
+  }
+
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 3000px, 0);
+            transform: translate3d(0, 3000px, 0);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, -20px, 0);
+            transform: translate3d(0, -20px, 0);
+  }
+
+  75% {
+    -webkit-transform: translate3d(0, 10px, 0);
+            transform: translate3d(0, 10px, 0);
+  }
+
+  90% {
+    -webkit-transform: translate3d(0, -5px, 0);
+            transform: translate3d(0, -5px, 0);
+  }
+
+  100% {
+    -webkit-transform: translate3d(0, 0, 0);
+            transform: translate3d(0, 0, 0);
+  }
+}
+
+.bounceInUp {
+  -webkit-animation-name: bounceInUp;
+          animation-name: bounceInUp;
+}
+
+@-webkit-keyframes bounceOut {
+  20% {
+    -webkit-transform: scale3d(.9, .9, .9);
+            transform: scale3d(.9, .9, .9);
+  }
+
+  50%, 55% {
+    opacity: 1;
+    -webkit-transform: scale3d(1.1, 1.1, 1.1);
+            transform: scale3d(1.1, 1.1, 1.1);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+}
+
+@keyframes bounceOut {
+  20% {
+    -webkit-transform: scale3d(.9, .9, .9);
+            transform: scale3d(.9, .9, .9);
+  }
+
+  50%, 55% {
+    opacity: 1;
+    -webkit-transform: scale3d(1.1, 1.1, 1.1);
+            transform: scale3d(1.1, 1.1, 1.1);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+}
+
+.bounceOut {
+  -webkit-animation-name: bounceOut;
+          animation-name: bounceOut;
+  -webkit-animation-duration: .75s;
+          animation-duration: .75s;
+}
+
+@-webkit-keyframes bounceOutDown {
+  20% {
+    -webkit-transform: translate3d(0, 10px, 0);
+            transform: translate3d(0, 10px, 0);
+  }
+
+  40%, 45% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, -20px, 0);
+            transform: translate3d(0, -20px, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 2000px, 0);
+            transform: translate3d(0, 2000px, 0);
+  }
+}
+
+@keyframes bounceOutDown {
+  20% {
+    -webkit-transform: translate3d(0, 10px, 0);
+            transform: translate3d(0, 10px, 0);
+  }
+
+  40%, 45% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, -20px, 0);
+            transform: translate3d(0, -20px, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 2000px, 0);
+            transform: translate3d(0, 2000px, 0);
+  }
+}
+
+.bounceOutDown {
+  -webkit-animation-name: bounceOutDown;
+          animation-name: bounceOutDown;
+}
+
+@-webkit-keyframes bounceOutLeft {
+  20% {
+    opacity: 1;
+    -webkit-transform: translate3d(20px, 0, 0);
+            transform: translate3d(20px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(-2000px, 0, 0);
+            transform: translate3d(-2000px, 0, 0);
+  }
+}
+
+@keyframes bounceOutLeft {
+  20% {
+    opacity: 1;
+    -webkit-transform: translate3d(20px, 0, 0);
+            transform: translate3d(20px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(-2000px, 0, 0);
+            transform: translate3d(-2000px, 0, 0);
+  }
+}
+
+.bounceOutLeft {
+  -webkit-animation-name: bounceOutLeft;
+          animation-name: bounceOutLeft;
+}
+
+@-webkit-keyframes bounceOutRight {
+  20% {
+    opacity: 1;
+    -webkit-transform: translate3d(-20px, 0, 0);
+            transform: translate3d(-20px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(2000px, 0, 0);
+            transform: translate3d(2000px, 0, 0);
+  }
+}
+
+@keyframes bounceOutRight {
+  20% {
+    opacity: 1;
+    -webkit-transform: translate3d(-20px, 0, 0);
+            transform: translate3d(-20px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(2000px, 0, 0);
+            transform: translate3d(2000px, 0, 0);
+  }
+}
+
+.bounceOutRight {
+  -webkit-animation-name: bounceOutRight;
+          animation-name: bounceOutRight;
+}
+
+@-webkit-keyframes bounceOutUp {
+  20% {
+    -webkit-transform: translate3d(0, -10px, 0);
+            transform: translate3d(0, -10px, 0);
+  }
+
+  40%, 45% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, 20px, 0);
+            transform: translate3d(0, 20px, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -2000px, 0);
+            transform: translate3d(0, -2000px, 0);
+  }
+}
+
+@keyframes bounceOutUp {
+  20% {
+    -webkit-transform: translate3d(0, -10px, 0);
+            transform: translate3d(0, -10px, 0);
+  }
+
+  40%, 45% {
+    opacity: 1;
+    -webkit-transform: translate3d(0, 20px, 0);
+            transform: translate3d(0, 20px, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -2000px, 0);
+            transform: translate3d(0, -2000px, 0);
+  }
+}
+
+.bounceOutUp {
+  -webkit-animation-name: bounceOutUp;
+          animation-name: bounceOutUp;
+}
+
+@-webkit-keyframes fadeIn {
+  0% {opacity: 0;}
+  100% {opacity: 1;}
+}
+
+@keyframes fadeIn {
+  0% {opacity: 0;}
+  100% {opacity: 1;}
+}
+
+.fadeIn {
+  -webkit-animation-name: fadeIn;
+          animation-name: fadeIn;
+}
+
+@-webkit-keyframes fadeInDown {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -100%, 0);
+            transform: translate3d(0, -100%, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInDown {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -100%, 0);
+            transform: translate3d(0, -100%, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInDown {
+  -webkit-animation-name: fadeInDown;
+          animation-name: fadeInDown;
+}
+
+@-webkit-keyframes fadeInDownBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -2000px, 0);
+            transform: translate3d(0, -2000px, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInDownBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -2000px, 0);
+            transform: translate3d(0, -2000px, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInDownBig {
+  -webkit-animation-name: fadeInDownBig;
+          animation-name: fadeInDownBig;
+}
+
+@-webkit-keyframes fadeInLeft {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-100%, 0, 0);
+            transform: translate3d(-100%, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInLeft {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-100%, 0, 0);
+            transform: translate3d(-100%, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInLeft {
+  -webkit-animation-name: fadeInLeft;
+          animation-name: fadeInLeft;
+}
+
+@-webkit-keyframes fadeInLeftBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-2000px, 0, 0);
+            transform: translate3d(-2000px, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInLeftBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-2000px, 0, 0);
+            transform: translate3d(-2000px, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInLeftBig {
+  -webkit-animation-name: fadeInLeftBig;
+          animation-name: fadeInLeftBig;
+}
+
+@-webkit-keyframes fadeInRight {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(100%, 0, 0);
+            transform: translate3d(100%, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInRight {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(100%, 0, 0);
+            transform: translate3d(100%, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInRight {
+  -webkit-animation-name: fadeInRight;
+          animation-name: fadeInRight;
+}
+
+@-webkit-keyframes fadeInRightBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(2000px, 0, 0);
+            transform: translate3d(2000px, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInRightBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(2000px, 0, 0);
+            transform: translate3d(2000px, 0, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInRightBig {
+  -webkit-animation-name: fadeInRightBig;
+          animation-name: fadeInRightBig;
+}
+
+@-webkit-keyframes fadeInUp {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 100%, 0);
+            transform: translate3d(0, 100%, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInUp {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 100%, 0);
+            transform: translate3d(0, 100%, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInUp {
+  -webkit-animation-name: fadeInUp;
+          animation-name: fadeInUp;
+}
+
+@-webkit-keyframes fadeInUpBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 2000px, 0);
+            transform: translate3d(0, 2000px, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes fadeInUpBig {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 2000px, 0);
+            transform: translate3d(0, 2000px, 0);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.fadeInUpBig {
+  -webkit-animation-name: fadeInUpBig;
+          animation-name: fadeInUpBig;
+}
+
+@-webkit-keyframes fadeOut {
+  0% {opacity: 1;}
+  100% {opacity: 0;}
+}
+
+@keyframes fadeOut {
+  0% {opacity: 1;}
+  100% {opacity: 0;}
+}
+
+.fadeOut {
+  -webkit-animation-name: fadeOut;
+          animation-name: fadeOut;
+}
+
+@-webkit-keyframes fadeOutDown {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 100%, 0);
+            transform: translate3d(0, 100%, 0);
+  }
+}
+
+@keyframes fadeOutDown {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 100%, 0);
+            transform: translate3d(0, 100%, 0);
+  }
+}
+
+.fadeOutDown {
+  -webkit-animation-name: fadeOutDown;
+          animation-name: fadeOutDown;
+}
+
+@-webkit-keyframes fadeOutDownBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 2000px, 0);
+            transform: translate3d(0, 2000px, 0);
+  }
+}
+
+@keyframes fadeOutDownBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, 2000px, 0);
+            transform: translate3d(0, 2000px, 0);
+  }
+}
+
+.fadeOutDownBig {
+  -webkit-animation-name: fadeOutDownBig;
+          animation-name: fadeOutDownBig;
+}
+
+@-webkit-keyframes fadeOutLeft {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(-100%, 0, 0);
+            transform: translate3d(-100%, 0, 0);
+  }
+}
+
+@keyframes fadeOutLeft {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(-100%, 0, 0);
+            transform: translate3d(-100%, 0, 0);
+  }
+}
+
+.fadeOutLeft {
+  -webkit-animation-name: fadeOutLeft;
+          animation-name: fadeOutLeft;
+}
+
+@-webkit-keyframes fadeOutLeftBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(-2000px, 0, 0);
+            transform: translate3d(-2000px, 0, 0);
+  }
+}
+
+@keyframes fadeOutLeftBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(-2000px, 0, 0);
+            transform: translate3d(-2000px, 0, 0);
+  }
+}
+
+.fadeOutLeftBig {
+  -webkit-animation-name: fadeOutLeftBig;
+          animation-name: fadeOutLeftBig;
+}
+
+@-webkit-keyframes fadeOutRight {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(100%, 0, 0);
+            transform: translate3d(100%, 0, 0);
+  }
+}
+
+@keyframes fadeOutRight {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(100%, 0, 0);
+            transform: translate3d(100%, 0, 0);
+  }
+}
+
+.fadeOutRight {
+  -webkit-animation-name: fadeOutRight;
+          animation-name: fadeOutRight;
+}
+
+@-webkit-keyframes fadeOutRightBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(2000px, 0, 0);
+            transform: translate3d(2000px, 0, 0);
+  }
+}
+
+@keyframes fadeOutRightBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(2000px, 0, 0);
+            transform: translate3d(2000px, 0, 0);
+  }
+}
+
+.fadeOutRightBig {
+  -webkit-animation-name: fadeOutRightBig;
+          animation-name: fadeOutRightBig;
+}
+
+@-webkit-keyframes fadeOutUp {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -100%, 0);
+            transform: translate3d(0, -100%, 0);
+  }
+}
+
+@keyframes fadeOutUp {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -100%, 0);
+            transform: translate3d(0, -100%, 0);
+  }
+}
+
+.fadeOutUp {
+  -webkit-animation-name: fadeOutUp;
+          animation-name: fadeOutUp;
+}
+
+@-webkit-keyframes fadeOutUpBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -2000px, 0);
+            transform: translate3d(0, -2000px, 0);
+  }
+}
+
+@keyframes fadeOutUpBig {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(0, -2000px, 0);
+            transform: translate3d(0, -2000px, 0);
+  }
+}
+
+.fadeOutUpBig {
+  -webkit-animation-name: fadeOutUpBig;
+          animation-name: fadeOutUpBig;
+}
+
+@-webkit-keyframes flip {
+  0% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -360deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -360deg);
+    -webkit-animation-timing-function: ease-out;
+            animation-timing-function: ease-out;
+  }
+
+  40% {
+    -webkit-transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -190deg);
+            transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -190deg);
+    -webkit-animation-timing-function: ease-out;
+            animation-timing-function: ease-out;
+  }
+
+  50% {
+    -webkit-transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -170deg);
+            transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -170deg);
+    -webkit-animation-timing-function: ease-in;
+            animation-timing-function: ease-in;
+  }
+
+  80% {
+    -webkit-transform: perspective(400px) scale3d(.95, .95, .95);
+            transform: perspective(400px) scale3d(.95, .95, .95);
+    -webkit-animation-timing-function: ease-in;
+            animation-timing-function: ease-in;
+  }
+
+  100% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+    -webkit-animation-timing-function: ease-in;
+            animation-timing-function: ease-in;
+  }
+}
+
+@keyframes flip {
+  0% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -360deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -360deg);
+    -webkit-animation-timing-function: ease-out;
+            animation-timing-function: ease-out;
+  }
+
+  40% {
+    -webkit-transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -190deg);
+            transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -190deg);
+    -webkit-animation-timing-function: ease-out;
+            animation-timing-function: ease-out;
+  }
+
+  50% {
+    -webkit-transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -170deg);
+            transform: perspective(400px) translate3d(0, 0, 150px) rotate3d(0, 1, 0, -170deg);
+    -webkit-animation-timing-function: ease-in;
+            animation-timing-function: ease-in;
+  }
+
+  80% {
+    -webkit-transform: perspective(400px) scale3d(.95, .95, .95);
+            transform: perspective(400px) scale3d(.95, .95, .95);
+    -webkit-animation-timing-function: ease-in;
+            animation-timing-function: ease-in;
+  }
+
+  100% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+    -webkit-animation-timing-function: ease-in;
+            animation-timing-function: ease-in;
+  }
+}
+
+.animated.flip {
+  -webkit-backface-visibility: visible;
+          backface-visibility: visible;
+  -webkit-animation-name: flip;
+          animation-name: flip;
+}
+
+@-webkit-keyframes flipInX {
+  0% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+    opacity: 0;
+  }
+
+  40% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+  }
+
+  60% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, 10deg);
+    opacity: 1;
+  }
+
+  80% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, -5deg);
+  }
+
+  100% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+}
+
+@keyframes flipInX {
+  0% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+    opacity: 0;
+  }
+
+  40% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+  }
+
+  60% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 10deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, 10deg);
+    opacity: 1;
+  }
+
+  80% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -5deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, -5deg);
+  }
+
+  100% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+}
+
+.flipInX {
+  -webkit-backface-visibility: visible !important;
+          backface-visibility: visible !important;
+  -webkit-animation-name: flipInX;
+          animation-name: flipInX;
+}
+
+@-webkit-keyframes flipInY {
+  0% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+    opacity: 0;
+  }
+
+  40% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -20deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+  }
+
+  60% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, 10deg);
+    opacity: 1;
+  }
+
+  80% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -5deg);
+  }
+
+  100% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+}
+
+@keyframes flipInY {
+  0% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+    opacity: 0;
+  }
+
+  40% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -20deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -20deg);
+    -webkit-transition-timing-function: ease-in;
+            transition-timing-function: ease-in;
+  }
+
+  60% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 10deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, 10deg);
+    opacity: 1;
+  }
+
+  80% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -5deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -5deg);
+  }
+
+  100% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+}
+
+.flipInY {
+  -webkit-backface-visibility: visible !important;
+          backface-visibility: visible !important;
+  -webkit-animation-name: flipInY;
+          animation-name: flipInY;
+}
+
+@-webkit-keyframes flipOutX {
+  0% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+
+  30% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+    opacity: 0;
+  }
+}
+
+@keyframes flipOutX {
+  0% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+
+  30% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, -20deg);
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+            transform: perspective(400px) rotate3d(1, 0, 0, 90deg);
+    opacity: 0;
+  }
+}
+
+.flipOutX {
+  -webkit-animation-name: flipOutX;
+          animation-name: flipOutX;
+  -webkit-animation-duration: .75s;
+          animation-duration: .75s;
+  -webkit-backface-visibility: visible !important;
+          backface-visibility: visible !important;
+}
+
+@-webkit-keyframes flipOutY {
+  0% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+
+  30% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -15deg);
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+    opacity: 0;
+  }
+}
+
+@keyframes flipOutY {
+  0% {
+    -webkit-transform: perspective(400px);
+            transform: perspective(400px);
+  }
+
+  30% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, -15deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, -15deg);
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+            transform: perspective(400px) rotate3d(0, 1, 0, 90deg);
+    opacity: 0;
+  }
+}
+
+.flipOutY {
+  -webkit-backface-visibility: visible !important;
+          backface-visibility: visible !important;
+  -webkit-animation-name: flipOutY;
+          animation-name: flipOutY;
+  -webkit-animation-duration: .75s;
+          animation-duration: .75s;
+}
+
+@-webkit-keyframes lightSpeedIn {
+  0% {
+    -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg);
+            transform: translate3d(100%, 0, 0) skewX(-30deg);
+    opacity: 0;
+  }
+
+  60% {
+    -webkit-transform: skewX(20deg);
+            transform: skewX(20deg);
+    opacity: 1;
+  }
+
+  80% {
+    -webkit-transform: skewX(-5deg);
+            transform: skewX(-5deg);
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+@keyframes lightSpeedIn {
+  0% {
+    -webkit-transform: translate3d(100%, 0, 0) skewX(-30deg);
+            transform: translate3d(100%, 0, 0) skewX(-30deg);
+    opacity: 0;
+  }
+
+  60% {
+    -webkit-transform: skewX(20deg);
+            transform: skewX(20deg);
+    opacity: 1;
+  }
+
+  80% {
+    -webkit-transform: skewX(-5deg);
+            transform: skewX(-5deg);
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+.lightSpeedIn {
+  -webkit-animation-name: lightSpeedIn;
+          animation-name: lightSpeedIn;
+  -webkit-animation-timing-function: ease-out;
+          animation-timing-function: ease-out;
+}
+
+@-webkit-keyframes lightSpeedOut {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: translate3d(100%, 0, 0) skewX(30deg);
+            transform: translate3d(100%, 0, 0) skewX(30deg);
+    opacity: 0;
+  }
+}
+
+@keyframes lightSpeedOut {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: translate3d(100%, 0, 0) skewX(30deg);
+            transform: translate3d(100%, 0, 0) skewX(30deg);
+    opacity: 0;
+  }
+}
+
+.lightSpeedOut {
+  -webkit-animation-name: lightSpeedOut;
+          animation-name: lightSpeedOut;
+  -webkit-animation-timing-function: ease-in;
+          animation-timing-function: ease-in;
+}
+
+@-webkit-keyframes rotateIn {
+  0% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    -webkit-transform: rotate3d(0, 0, 1, -200deg);
+            transform: rotate3d(0, 0, 1, -200deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+@keyframes rotateIn {
+  0% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    -webkit-transform: rotate3d(0, 0, 1, -200deg);
+            transform: rotate3d(0, 0, 1, -200deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+.rotateIn {
+  -webkit-animation-name: rotateIn;
+          animation-name: rotateIn;
+}
+
+@-webkit-keyframes rotateInDownLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -45deg);
+            transform: rotate3d(0, 0, 1, -45deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+@keyframes rotateInDownLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -45deg);
+            transform: rotate3d(0, 0, 1, -45deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+.rotateInDownLeft {
+  -webkit-animation-name: rotateInDownLeft;
+          animation-name: rotateInDownLeft;
+}
+
+@-webkit-keyframes rotateInDownRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 45deg);
+            transform: rotate3d(0, 0, 1, 45deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+@keyframes rotateInDownRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 45deg);
+            transform: rotate3d(0, 0, 1, 45deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+.rotateInDownRight {
+  -webkit-animation-name: rotateInDownRight;
+          animation-name: rotateInDownRight;
+}
+
+@-webkit-keyframes rotateInUpLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 45deg);
+            transform: rotate3d(0, 0, 1, 45deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+@keyframes rotateInUpLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 45deg);
+            transform: rotate3d(0, 0, 1, 45deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+.rotateInUpLeft {
+  -webkit-animation-name: rotateInUpLeft;
+          animation-name: rotateInUpLeft;
+}
+
+@-webkit-keyframes rotateInUpRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -90deg);
+            transform: rotate3d(0, 0, 1, -90deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+@keyframes rotateInUpRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -90deg);
+            transform: rotate3d(0, 0, 1, -90deg);
+    opacity: 0;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: none;
+            transform: none;
+    opacity: 1;
+  }
+}
+
+.rotateInUpRight {
+  -webkit-animation-name: rotateInUpRight;
+          animation-name: rotateInUpRight;
+}
+
+@-webkit-keyframes rotateOut {
+  0% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    -webkit-transform: rotate3d(0, 0, 1, 200deg);
+            transform: rotate3d(0, 0, 1, 200deg);
+    opacity: 0;
+  }
+}
+
+@keyframes rotateOut {
+  0% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: center;
+            transform-origin: center;
+    -webkit-transform: rotate3d(0, 0, 1, 200deg);
+            transform: rotate3d(0, 0, 1, 200deg);
+    opacity: 0;
+  }
+}
+
+.rotateOut {
+  -webkit-animation-name: rotateOut;
+          animation-name: rotateOut;
+}
+
+@-webkit-keyframes rotateOutDownLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 45deg);
+            transform: rotate3d(0, 0, 1, 45deg);
+    opacity: 0;
+  }
+}
+
+@keyframes rotateOutDownLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 45deg);
+            transform: rotate3d(0, 0, 1, 45deg);
+    opacity: 0;
+  }
+}
+
+.rotateOutDownLeft {
+  -webkit-animation-name: rotateOutDownLeft;
+          animation-name: rotateOutDownLeft;
+}
+
+@-webkit-keyframes rotateOutDownRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -45deg);
+            transform: rotate3d(0, 0, 1, -45deg);
+    opacity: 0;
+  }
+}
+
+@keyframes rotateOutDownRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -45deg);
+            transform: rotate3d(0, 0, 1, -45deg);
+    opacity: 0;
+  }
+}
+
+.rotateOutDownRight {
+  -webkit-animation-name: rotateOutDownRight;
+          animation-name: rotateOutDownRight;
+}
+
+@-webkit-keyframes rotateOutUpLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -45deg);
+            transform: rotate3d(0, 0, 1, -45deg);
+    opacity: 0;
+  }
+}
+
+@keyframes rotateOutUpLeft {
+  0% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: left bottom;
+            transform-origin: left bottom;
+    -webkit-transform: rotate3d(0, 0, 1, -45deg);
+            transform: rotate3d(0, 0, 1, -45deg);
+    opacity: 0;
+  }
+}
+
+.rotateOutUpLeft {
+  -webkit-animation-name: rotateOutUpLeft;
+          animation-name: rotateOutUpLeft;
+}
+
+@-webkit-keyframes rotateOutUpRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 90deg);
+            transform: rotate3d(0, 0, 1, 90deg);
+    opacity: 0;
+  }
+}
+
+@keyframes rotateOutUpRight {
+  0% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform-origin: right bottom;
+            transform-origin: right bottom;
+    -webkit-transform: rotate3d(0, 0, 1, 90deg);
+            transform: rotate3d(0, 0, 1, 90deg);
+    opacity: 0;
+  }
+}
+
+.rotateOutUpRight {
+  -webkit-animation-name: rotateOutUpRight;
+          animation-name: rotateOutUpRight;
+}
+
+@-webkit-keyframes hinge {
+  0% {
+    -webkit-transform-origin: top left;
+            transform-origin: top left;
+    -webkit-animation-timing-function: ease-in-out;
+            animation-timing-function: ease-in-out;
+  }
+
+  20%, 60% {
+    -webkit-transform: rotate3d(0, 0, 1, 80deg);
+            transform: rotate3d(0, 0, 1, 80deg);
+    -webkit-transform-origin: top left;
+            transform-origin: top left;
+    -webkit-animation-timing-function: ease-in-out;
+            animation-timing-function: ease-in-out;
+  }
+
+  40%, 80% {
+    -webkit-transform: rotate3d(0, 0, 1, 60deg);
+            transform: rotate3d(0, 0, 1, 60deg);
+    -webkit-transform-origin: top left;
+            transform-origin: top left;
+    -webkit-animation-timing-function: ease-in-out;
+            animation-timing-function: ease-in-out;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: translate3d(0, 700px, 0);
+            transform: translate3d(0, 700px, 0);
+    opacity: 0;
+  }
+}
+
+@keyframes hinge {
+  0% {
+    -webkit-transform-origin: top left;
+            transform-origin: top left;
+    -webkit-animation-timing-function: ease-in-out;
+            animation-timing-function: ease-in-out;
+  }
+
+  20%, 60% {
+    -webkit-transform: rotate3d(0, 0, 1, 80deg);
+            transform: rotate3d(0, 0, 1, 80deg);
+    -webkit-transform-origin: top left;
+            transform-origin: top left;
+    -webkit-animation-timing-function: ease-in-out;
+            animation-timing-function: ease-in-out;
+  }
+
+  40%, 80% {
+    -webkit-transform: rotate3d(0, 0, 1, 60deg);
+            transform: rotate3d(0, 0, 1, 60deg);
+    -webkit-transform-origin: top left;
+            transform-origin: top left;
+    -webkit-animation-timing-function: ease-in-out;
+            animation-timing-function: ease-in-out;
+    opacity: 1;
+  }
+
+  100% {
+    -webkit-transform: translate3d(0, 700px, 0);
+            transform: translate3d(0, 700px, 0);
+    opacity: 0;
+  }
+}
+
+.hinge {
+  -webkit-animation-name: hinge;
+          animation-name: hinge;
+}
+
+/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */
+
+@-webkit-keyframes rollIn {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg);
+            transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+@keyframes rollIn {
+  0% {
+    opacity: 0;
+    -webkit-transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg);
+            transform: translate3d(-100%, 0, 0) rotate3d(0, 0, 1, -120deg);
+  }
+
+  100% {
+    opacity: 1;
+    -webkit-transform: none;
+            transform: none;
+  }
+}
+
+.rollIn {
+  -webkit-animation-name: rollIn;
+          animation-name: rollIn;
+}
+
+/* originally authored by Nick Pettit - https://github.com/nickpettit/glide */
+
+@-webkit-keyframes rollOut {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg);
+            transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg);
+  }
+}
+
+@keyframes rollOut {
+  0% {
+    opacity: 1;
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg);
+            transform: translate3d(100%, 0, 0) rotate3d(0, 0, 1, 120deg);
+  }
+}
+
+.rollOut {
+  -webkit-animation-name: rollOut;
+          animation-name: rollOut;
+}
+
+@-webkit-keyframes zoomIn {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+
+  50% {
+    opacity: 1;
+  }
+}
+
+@keyframes zoomIn {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+
+  50% {
+    opacity: 1;
+  }
+}
+
+.zoomIn {
+  -webkit-animation-name: zoomIn;
+          animation-name: zoomIn;
+}
+
+@-webkit-keyframes zoomInDown {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, -1000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, -1000px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+@keyframes zoomInDown {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, -1000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, -1000px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+.zoomInDown {
+  -webkit-animation-name: zoomInDown;
+          animation-name: zoomInDown;
+}
+
+@-webkit-keyframes zoomInLeft {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(-1000px, 0, 0);
+            transform: scale3d(.1, .1, .1) translate3d(-1000px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(10px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(10px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+@keyframes zoomInLeft {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(-1000px, 0, 0);
+            transform: scale3d(.1, .1, .1) translate3d(-1000px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(10px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(10px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+.zoomInLeft {
+  -webkit-animation-name: zoomInLeft;
+          animation-name: zoomInLeft;
+}
+
+@-webkit-keyframes zoomInRight {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(1000px, 0, 0);
+            transform: scale3d(.1, .1, .1) translate3d(1000px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(-10px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(-10px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+@keyframes zoomInRight {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(1000px, 0, 0);
+            transform: scale3d(.1, .1, .1) translate3d(1000px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(-10px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(-10px, 0, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+.zoomInRight {
+  -webkit-animation-name: zoomInRight;
+          animation-name: zoomInRight;
+}
+
+@-webkit-keyframes zoomInUp {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, 1000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, 1000px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+@keyframes zoomInUp {
+  0% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, 1000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, 1000px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  60% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+.zoomInUp {
+  -webkit-animation-name: zoomInUp;
+          animation-name: zoomInUp;
+}
+
+@-webkit-keyframes zoomOut {
+  0% {
+    opacity: 1;
+  }
+
+  50% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+
+  100% {
+    opacity: 0;
+  }
+}
+
+@keyframes zoomOut {
+  0% {
+    opacity: 1;
+  }
+
+  50% {
+    opacity: 0;
+    -webkit-transform: scale3d(.3, .3, .3);
+            transform: scale3d(.3, .3, .3);
+  }
+
+  100% {
+    opacity: 0;
+  }
+}
+
+.zoomOut {
+  -webkit-animation-name: zoomOut;
+          animation-name: zoomOut;
+}
+
+@-webkit-keyframes zoomOutDown {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, 2000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, 2000px, 0);
+    -webkit-transform-origin: center bottom;
+            transform-origin: center bottom;
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+@keyframes zoomOutDown {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, -60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, 2000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, 2000px, 0);
+    -webkit-transform-origin: center bottom;
+            transform-origin: center bottom;
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+.zoomOutDown {
+  -webkit-animation-name: zoomOutDown;
+          animation-name: zoomOutDown;
+}
+
+@-webkit-keyframes zoomOutLeft {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(42px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(42px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale(.1) translate3d(-2000px, 0, 0);
+            transform: scale(.1) translate3d(-2000px, 0, 0);
+    -webkit-transform-origin: left center;
+            transform-origin: left center;
+  }
+}
+
+@keyframes zoomOutLeft {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(42px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(42px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale(.1) translate3d(-2000px, 0, 0);
+            transform: scale(.1) translate3d(-2000px, 0, 0);
+    -webkit-transform-origin: left center;
+            transform-origin: left center;
+  }
+}
+
+.zoomOutLeft {
+  -webkit-animation-name: zoomOutLeft;
+          animation-name: zoomOutLeft;
+}
+
+@-webkit-keyframes zoomOutRight {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(-42px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(-42px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale(.1) translate3d(2000px, 0, 0);
+            transform: scale(.1) translate3d(2000px, 0, 0);
+    -webkit-transform-origin: right center;
+            transform-origin: right center;
+  }
+}
+
+@keyframes zoomOutRight {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(-42px, 0, 0);
+            transform: scale3d(.475, .475, .475) translate3d(-42px, 0, 0);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale(.1) translate3d(2000px, 0, 0);
+            transform: scale(.1) translate3d(2000px, 0, 0);
+    -webkit-transform-origin: right center;
+            transform-origin: right center;
+  }
+}
+
+.zoomOutRight {
+  -webkit-animation-name: zoomOutRight;
+          animation-name: zoomOutRight;
+}
+
+@-webkit-keyframes zoomOutUp {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, -2000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, -2000px, 0);
+    -webkit-transform-origin: center bottom;
+            transform-origin: center bottom;
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+@keyframes zoomOutUp {
+  40% {
+    opacity: 1;
+    -webkit-transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+            transform: scale3d(.475, .475, .475) translate3d(0, 60px, 0);
+    -webkit-animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+            animation-timing-function: cubic-bezier(0.550, 0.055, 0.675, 0.190);
+  }
+
+  100% {
+    opacity: 0;
+    -webkit-transform: scale3d(.1, .1, .1) translate3d(0, -2000px, 0);
+            transform: scale3d(.1, .1, .1) translate3d(0, -2000px, 0);
+    -webkit-transform-origin: center bottom;
+            transform-origin: center bottom;
+    -webkit-animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+            animation-timing-function: cubic-bezier(0.175, 0.885, 0.320, 1);
+  }
+}
+
+.zoomOutUp {
+  -webkit-animation-name: zoomOutUp;
+          animation-name: zoomOutUp;
+}
+
+@-webkit-keyframes slideInDown {
+  0% {
+    -webkit-transform: translateY(-100%);
+            transform: translateY(-100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+}
+
+@keyframes slideInDown {
+  0% {
+    -webkit-transform: translateY(-100%);
+            transform: translateY(-100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+}
+
+.slideInDown {
+  -webkit-animation-name: slideInDown;
+          animation-name: slideInDown;
+}
+
+@-webkit-keyframes slideInLeft {
+  0% {
+    -webkit-transform: translateX(-100%);
+            transform: translateX(-100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+}
+
+@keyframes slideInLeft {
+  0% {
+    -webkit-transform: translateX(-100%);
+            transform: translateX(-100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+}
+
+.slideInLeft {
+  -webkit-animation-name: slideInLeft;
+          animation-name: slideInLeft;
+}
+
+@-webkit-keyframes slideInRight {
+  0% {
+    -webkit-transform: translateX(100%);
+            transform: translateX(100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+}
+
+@keyframes slideInRight {
+  0% {
+    -webkit-transform: translateX(100%);
+            transform: translateX(100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+}
+
+.slideInRight {
+  -webkit-animation-name: slideInRight;
+          animation-name: slideInRight;
+}
+
+@-webkit-keyframes slideInUp {
+  0% {
+    -webkit-transform: translateY(100%);
+            transform: translateY(100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+}
+
+@keyframes slideInUp {
+  0% {
+    -webkit-transform: translateY(100%);
+            transform: translateY(100%);
+    visibility: visible;
+  }
+
+  100% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+}
+
+.slideInUp {
+  -webkit-animation-name: slideInUp;
+          animation-name: slideInUp;
+}
+
+@-webkit-keyframes slideOutDown {
+  0% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateY(100%);
+            transform: translateY(100%);
+  }
+}
+
+@keyframes slideOutDown {
+  0% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateY(100%);
+            transform: translateY(100%);
+  }
+}
+
+.slideOutDown {
+  -webkit-animation-name: slideOutDown;
+          animation-name: slideOutDown;
+}
+
+@-webkit-keyframes slideOutLeft {
+  0% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateX(-100%);
+            transform: translateX(-100%);
+  }
+}
+
+@keyframes slideOutLeft {
+  0% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateX(-100%);
+            transform: translateX(-100%);
+  }
+}
+
+.slideOutLeft {
+  -webkit-animation-name: slideOutLeft;
+          animation-name: slideOutLeft;
+}
+
+@-webkit-keyframes slideOutRight {
+  0% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateX(100%);
+            transform: translateX(100%);
+  }
+}
+
+@keyframes slideOutRight {
+  0% {
+    -webkit-transform: translateX(0);
+            transform: translateX(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateX(100%);
+            transform: translateX(100%);
+  }
+}
+
+.slideOutRight {
+  -webkit-animation-name: slideOutRight;
+          animation-name: slideOutRight;
+}
+
+@-webkit-keyframes slideOutUp {
+  0% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateY(-100%);
+            transform: translateY(-100%);
+  }
+}
+
+@keyframes slideOutUp {
+  0% {
+    -webkit-transform: translateY(0);
+            transform: translateY(0);
+  }
+
+  100% {
+    visibility: hidden;
+    -webkit-transform: translateY(-100%);
+            transform: translateY(-100%);
+  }
+}
+
+.slideOutUp {
+  -webkit-animation-name: slideOutUp;
+          animation-name: slideOutUp;
+}
diff --git a/public/css/custom.css b/public/css/custom.css
new file mode 100644
index 000000000..91ecc4499
--- /dev/null
+++ b/public/css/custom.css
@@ -0,0 +1,15 @@
+.box-image-text .image {
+  min-height: 190px;
+  max-height: 190px;
+}
+
+.box-image-text .image img {
+  max-height: 190px;
+  margin: auto;
+}
+
+.box-simple {
+  min-height: 230px;
+}
+
+
diff --git a/public/css/owl.carousel.css b/public/css/owl.carousel.css
new file mode 100644
index 000000000..10c9276b0
--- /dev/null
+++ b/public/css/owl.carousel.css
@@ -0,0 +1,70 @@
+/*
+ * 	Core Owl Carousel CSS File
+ *	v1.3.2
+ */
+
+/* clearfix */
+.owl-carousel .owl-wrapper:after {
+	content: ".";
+	display: block;
+	clear: both;
+	visibility: hidden;
+	line-height: 0;
+	height: 0;
+}
+/* display none until init */
+.owl-carousel{
+	display: none;
+	position: relative;
+	width: 100%;
+	-ms-touch-action: pan-y;
+}
+.owl-carousel .owl-wrapper{
+	display: none;
+	position: relative;
+	-webkit-transform: translate3d(0px, 0px, 0px);
+}
+.owl-carousel .owl-wrapper-outer{
+	overflow: hidden;
+	position: relative;
+	width: 100%;
+}
+.owl-carousel .owl-wrapper-outer.autoHeight{
+	-webkit-transition: height 500ms ease-in-out;
+	-moz-transition: height 500ms ease-in-out;
+	-ms-transition: height 500ms ease-in-out;
+	-o-transition: height 500ms ease-in-out;
+	transition: height 500ms ease-in-out;
+}
+
+.owl-carousel .owl-item{
+	float: left;
+}
+.owl-controls .owl-page,
+.owl-controls .owl-buttons div{
+	cursor: pointer;
+}
+.owl-controls {
+	-webkit-user-select: none;
+	-khtml-user-select: none;
+	-moz-user-select: none;
+	-ms-user-select: none;
+	user-select: none;
+	-webkit-tap-highlight-color: rgba(0, 0, 0, 0);
+}
+
+/* mouse grab icon */
+.grabbing {
+    cursor:url(/img/grabbing.png) 8 8, move;
+}
+
+/* fix */
+.owl-carousel  .owl-wrapper,
+.owl-carousel  .owl-item{
+	-webkit-backface-visibility: hidden;
+	-moz-backface-visibility:    hidden;
+	-ms-backface-visibility:     hidden;
+  -webkit-transform: translate3d(0,0,0);
+  -moz-transform: translate3d(0,0,0);
+  -ms-transform: translate3d(0,0,0);
+}
diff --git a/public/css/owl.theme.css b/public/css/owl.theme.css
new file mode 100644
index 000000000..b3c430e3b
--- /dev/null
+++ b/public/css/owl.theme.css
@@ -0,0 +1,69 @@
+/*
+* 	Owl Carousel Owl Demo Theme 
+*	v1.3.2
+*/
+
+.owl-theme .owl-controls{
+	margin-top: 10px;
+	text-align: center;
+}
+
+/* Styling Next and Prev buttons */
+
+.owl-theme .owl-controls .owl-buttons div{
+	display: inline-block;
+	zoom: 1;
+	*display: inline;/*IE7 life-saver */
+}
+/* Clickable class fix problem with hover on touch devices */
+/* Use it for non-touch hover action */
+.owl-theme .owl-controls.clickable .owl-buttons div:hover{
+	filter: Alpha(Opacity=100);/*IE7 fix*/
+	opacity: 1;
+	text-decoration: none;
+}
+
+/* Styling Pagination*/
+
+.owl-theme .owl-controls .owl-page{
+	display: inline-block;
+	zoom: 1;
+	*display: inline;/*IE7 life-saver */
+}
+.owl-theme .owl-controls .owl-page span{
+	display: block;
+	width: 12px;
+	height: 12px;
+	margin: 5px 7px;
+	filter: Alpha(Opacity=50);/*IE7 fix*/
+	opacity: 0.5;
+	-webkit-border-radius: 20px;
+	-moz-border-radius: 20px;
+	border-radius: 20px;
+	background: #869791;
+}
+
+.owl-theme .owl-controls .owl-page.active span,
+.owl-theme .owl-controls.clickable .owl-page:hover span{
+	filter: Alpha(Opacity=100);/*IE7 fix*/
+	opacity: 1;
+}
+
+/* If PaginationNumbers is true */
+
+.owl-theme .owl-controls .owl-page span.owl-numbers{
+	height: auto;
+	width: auto;
+	color: #FFF;
+	padding: 2px 10px;
+	font-size: 12px;
+	-webkit-border-radius: 30px;
+	-moz-border-radius: 30px;
+	border-radius: 30px;
+}
+
+/* preloading images */
+.owl-item.loading{
+	min-height: 150px;
+	background: url(AjaxLoader.gif) no-repeat center center
+}
\ No newline at end of file
diff --git a/public/css/style.blue.css b/public/css/style.blue.css
new file mode 100644
index 000000000..7c1660302
--- /dev/null
+++ b/public/css/style.blue.css
@@ -0,0 +1,3581 @@
+/* Themed colors */
+:root {
+  --primary-accent: #467fbf;
+  --navbar-border-top: #294d76;
+  --button-border: #336194;
+  --link-focus: #2f5a89;
+  --form-shadow: rgba(70, 127, 191, 0.6);
+  --pagination-bg: #b8cee6;
+  --link-hover-bg: #36669c;
+  --navbar-focus: #92b3d9;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 12px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 12px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 12px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 12px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 12px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 12px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 12px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 12px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 12px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 12px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 12px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-bw.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-bw.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 12px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 12px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 12px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 12px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 12px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 12px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 12px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus);
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 12px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+a.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.progress-bar-primary {
+  background-color: var(--primary-accent);
+}
+.progress-striped .progress-bar-primary {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+/*!
+ * Yamm!3 - Yet another megamenu for Bootstrap 3
+ * http://geedmo.github.com/yamm3
+ *
+ * @geedmo - Licensed under the MIT license
+ */
+.yamm .nav,
+.yamm .collapse,
+.yamm .dropup.use-yamm,
+.yamm .dropdown.use-yamm {
+  position: static;
+}
+.yamm .container {
+  position: relative;
+}
+.yamm .dropdown-menu {
+  left: auto;
+}
+.yamm .nav.navbar-right .dropdown-menu {
+  left: auto;
+  right: 0;
+}
+.yamm .yamm-content {
+  padding: 20px 30px;
+}
+.yamm .dropdown.yamm-fw .dropdown-menu {
+  left: 15px;
+  right: 15px;
+}
diff --git a/public/css/style.css b/public/css/style.css
new file mode 100644
index 000000000..f010ab251
--- /dev/null
+++ b/public/css/style.css
@@ -0,0 +1,106 @@
+.social-share {
+	position: relative;
+	top: -0.5em;
+}
+ 
+.social-share ul {
+	margin: 0;
+}
+ 
+.social-share ul li p {
+	display: none;
+}
+ 
+.social-share .share-icons li {
+	padding: 0 !important;
+	padding-bottom: 10px !important;
+}
+ 
+.social-share .share-btn {
+	padding: 0.25em;
+	width: 3em;
+}
+ 
+.social-share-nav .share-btn h3{
+	color: #ffffff;
+}
+
+ul.share-icons {
+	cursor: default;
+	list-style: none;
+	padding-left: 0;
+	margin-top: 1em;
+}
+
+ul.share-icons li {
+	display: inline-block;
+	padding: 0 1em 0 0;
+}
+
+ul.share-icons li:last-child {
+	padding-right: 0;
+}
+
+ul.share-icons li > * {
+	text-decoration: none;
+	border: 0;
+}
+
+ul.share-icons li > *:before {
+	-moz-osx-font-smoothing: grayscale;
+	-webkit-font-smoothing: antialiased;
+	font-family: FontAwesome;
+	font-style: normal;
+	font-weight: normal;
+	text-transform: none !important;
+}
+
+ul.share-icons li > * .label {
+	display: none;
+}
+ 
+.share-btn {
+	display: inline-block;
+	color: #ffffff;
+	border: none;
+	border-radius: 4px;
+	box-shadow: 0 2px 0 0 rgba(0,0,0,0.2);
+	outline: none;
+	text-align: center;
+	text-decoration: none;
+}
+ 
+.share-btn:hover {
+	color: #ffffff !important;
+}
+
+.share-btn:active {
+	position: relative;
+	top: 2px;
+	box-shadow: none;
+	color: #e2e2e2;
+	outline: none;
+}
+.share-btn .widget-social__link-icon {
+	margin: 0;
+}
+ 
+.share-btn.twitter     { background: #55acee; }
+.share-btn.google-plus { background: #dd4b39; }
+.share-btn.facebook    { background: #3B5998; }
+.share-btn.linkedin    { background: #4875B4; }
+.share-btn.stumbleupon { background: #EB4823; }
+.share-btn.pinterest   { background: #BD081C; }
+.share-btn.reddit      { background: #ff5700; }
+.share-btn.email       { background: #444444; }
+.share-btn.whatsapp    { background: #25d366; }
+
+
+.share-btn.twitter:hover     { background: #4c9ad6; }
+.share-btn.google-plus:hover { background: #c64333; }
+.share-btn.facebook:hover    { background: #2f4779; }
+.share-btn.linkedin:hover    { background: #4069a2; }
+.share-btn.stumbleupon:hover { background: #d3401f; }
+.share-btn.pinterest:hover   { background: #AD0000; }
+.share-btn.reddit:hover      { background: #e54e00; }
+.share-btn.email:hover       { background: #363636; }
\ No newline at end of file
diff --git a/public/css/style.default.css b/public/css/style.default.css
new file mode 100644
index 000000000..65573e4ef
--- /dev/null
+++ b/public/css/style.default.css
@@ -0,0 +1,3581 @@
+/* Themed colors */
+:root {
+  --primary-accent: #38a7bb;
+  --navbar-border-top: #20616d;
+  --button-border: #2a7d8c;
+  --link-focus: #267280;
+  --form-shadow: rgba(56, 167, 187, 0.6);
+  --pagination-bg: #a7dbe5;
+  --link-hover-bg: #2c8494;
+  --navbar-focus: #80cbd9;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 14px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 14px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 14px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 14px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 14px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 14px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 14px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 14px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 14px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 14px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 14px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 14px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 14px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 14px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 14px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 14px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-bw.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-bw.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 14px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 14px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 14px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 14px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 14px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 14px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus);
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 14px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+a.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.progress-bar-primary {
+  background-color: var(--primary-accent);
+}
+.progress-striped .progress-bar-primary {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+/*!
+ * Yamm!3 - Yet another megamenu for Bootstrap 3
+ * http://geedmo.github.com/yamm3
+ *
+ * @geedmo - Licensed under the MIT license
+ */
+.yamm .nav,
+.yamm .collapse,
+.yamm .dropup.use-yamm,
+.yamm .dropdown.use-yamm {
+  position: static;
+}
+.yamm .container {
+  position: relative;
+}
+.yamm .dropdown-menu {
+  left: auto;
+}
+.yamm .nav.navbar-right .dropdown-menu {
+  left: auto;
+  right: 0;
+}
+.yamm .yamm-content {
+  padding: 20px 30px;
+}
+.yamm .dropdown.yamm-fw .dropdown-menu {
+  left: 15px;
+  right: 15px;
+}
diff --git a/public/css/style.green.css b/public/css/style.green.css
new file mode 100644
index 000000000..92de476a4
--- /dev/null
+++ b/public/css/style.green.css
@@ -0,0 +1,3581 @@
+/* Themed colors */
+:root {
+  --primary-accent: #6aae7a;
+  --navbar-border-top: #3f734b;
+  --button-border: #4d8e5c;
+  --link-focus: #488456;
+  --form-shadow: rgba(106, 174, 122, 0.6);
+  --pagination-bg: #cde4d2;
+  --link-hover-bg: #519461;
+  --navbar-focus: #acd2b5;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 12px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 12px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 12px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 12px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 12px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 12px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 12px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 12px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 12px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 12px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 12px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-green.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-green.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 12px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 12px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 12px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 12px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 12px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 12px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 12px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus);
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 12px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+a.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.progress-bar-primary {
+  background-color: var(--primary-accent);
+}
+.progress-striped .progress-bar-primary {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+/*!
+ * Yamm!3 - Yet another megamenu for Bootstrap 3
+ * http://geedmo.github.com/yamm3
+ *
+ * @geedmo - Licensed under the MIT license
+ */
+.yamm .nav,
+.yamm .collapse,
+.yamm .dropup.use-yamm,
+.yamm .dropdown.use-yamm {
+  position: static;
+}
+.yamm .container {
+  position: relative;
+}
+.yamm .dropdown-menu {
+  left: auto;
+}
+.yamm .nav.navbar-right .dropdown-menu {
+  left: auto;
+  right: 0;
+}
+.yamm .yamm-content {
+  padding: 20px 30px;
+}
+.yamm .dropdown.yamm-fw .dropdown-menu {
+  left: 15px;
+  right: 15px;
+}
diff --git a/public/css/style.marsala.css b/public/css/style.marsala.css
new file mode 100644
index 000000000..c50437f4a
--- /dev/null
+++ b/public/css/style.marsala.css
@@ -0,0 +1,3581 @@
+/* Themed colors */
+:root {
+  --primary-accent: #955251;
+  --navbar-border-top: #532e2d;
+  --button-border: #6d3c3b;
+  --link-focus: #633736;
+  --form-shadow: rgba(149, 82, 81, 0.6);
+  --pagination-bg: #d2adad;
+  --link-hover-bg: #74403f;
+  --navbar-focus: #c08c8c;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 12px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 12px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 12px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 12px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 12px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 12px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 12px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 12px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 12px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 12px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 12px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-bw.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-bw.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 12px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 12px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 12px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 12px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 12px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 12px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 12px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus);
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 12px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+a.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.progress-bar-primary {
+  background-color: var(--primary-accent);
+}
+.progress-striped .progress-bar-primary {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+/*!
+ * Yamm!3 - Yet another megamenu for Bootstrap 3
+ * http://geedmo.github.com/yamm3
+ *
+ * @geedmo - Licensed under the MIT license
+ */
+.yamm .nav,
+.yamm .collapse,
+.yamm .dropup.use-yamm,
+.yamm .dropdown.use-yamm {
+  position: static;
+}
+.yamm .container {
+  position: relative;
+}
+.yamm .dropdown-menu {
+  left: auto;
+}
+.yamm .nav.navbar-right .dropdown-menu {
+  left: auto;
+  right: 0;
+}
+.yamm .yamm-content {
+  padding: 20px 30px;
+}
+.yamm .dropdown.yamm-fw .dropdown-menu {
+  left: 15px;
+  right: 15px;
+}
diff --git a/public/css/style.pink.css b/public/css/style.pink.css
new file mode 100644
index 000000000..3cafcc314
--- /dev/null
+++ b/public/css/style.pink.css
@@ -0,0 +1,3581 @@
+/* Themed colors */
+:root {
+  --primary-accent: #c27baa;
+  --navbar-border-top: #934478;
+  --button-border: #af518f;
+  --link-focus: #a44c87;
+  --form-shadow: rgba(194, 123, 170, 0.6);
+  --pagination-bg: #f2e4ed;
+  --link-hover-bg: #b25894;
+  --navbar-focus: #e2c1d7;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 12px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 12px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 12px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 12px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 12px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 12px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 12px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 12px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 12px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 12px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 12px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-bw.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-bw.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 12px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 12px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 12px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 12px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 12px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 12px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 12px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus)
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 12px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+a.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.progress-bar-primary {
+  background-color: var(--primary-accent);
+}
+.progress-striped .progress-bar-primary {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+/*!
+ * Yamm!3 - Yet another megamenu for Bootstrap 3
+ * http://geedmo.github.com/yamm3
+ *
+ * @geedmo - Licensed under the MIT license
+ */
+.yamm .nav,
+.yamm .collapse,
+.yamm .dropup.use-yamm,
+.yamm .dropdown.use-yamm {
+  position: static;
+}
+.yamm .container {
+  position: relative;
+}
+.yamm .dropdown-menu {
+  left: auto;
+}
+.yamm .nav.navbar-right .dropdown-menu {
+  left: auto;
+  right: 0;
+}
+.yamm .yamm-content {
+  padding: 20px 30px;
+}
+.yamm .dropdown.yamm-fw .dropdown-menu {
+  left: 15px;
+  right: 15px;
+}
diff --git a/public/css/style.red.css b/public/css/style.red.css
new file mode 100644
index 000000000..cb6ec295c
--- /dev/null
+++ b/public/css/style.red.css
@@ -0,0 +1,3582 @@
+/* Themed colors */
+:root {
+  --primary-accent: #da4d4d;
+  --navbar-border-top: #a02121;
+  --button-border: #c22828;
+  --link-focus: #b52626;
+  --form-shadow: rgba(218, 77, 77, 0.6);
+  --pagination-bg: #f4cccc;
+  --link-hover-bg: #ca2a2a;
+  --navbar-focus: #eca1a1;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 12px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 12px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 12px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 12px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 12px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 12px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 12px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 12px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 12px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 12px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 12px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-bw.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-bw.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 12px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 12px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 12px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 12px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 12px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 12px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 12px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus);
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 12px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+a.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.progress-bar-primary {
+  background-color: var(--primary-accent);
+}
+.progress-striped .progress-bar-primary {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+/*!
+ * Yamm!3 - Yet another megamenu for Bootstrap 3
+ * http://geedmo.github.com/yamm3
+ *
+ * @geedmo - Licensed under the MIT license
+ */
+.yamm .nav,
+.yamm .collapse,
+.yamm .dropup.use-yamm,
+.yamm .dropdown.use-yamm {
+  position: static;
+}
+.yamm .container {
+  position: relative;
+}
+.yamm .dropdown-menu {
+  left: auto;
+}
+.yamm .nav.navbar-right .dropdown-menu {
+  left: auto;
+  right: 0;
+}
+.yamm .yamm-content {
+  padding: 20px 30px;
+}
+.yamm .dropdown.yamm-fw .dropdown-menu {
+  left: 15px;
+  right: 15px;
+}
diff --git a/public/css/style.turquoise.css b/public/css/style.turquoise.css
new file mode 100644
index 000000000..4ad677c4e
--- /dev/null
+++ b/public/css/style.turquoise.css
@@ -0,0 +1,3581 @@
+/* Themed colors */
+:root {
+  --primary-accent: #4fbfa8;
+  --navbar-border-top: #2d7b6b;
+  --button-border: #389985;
+  --link-focus: #348e7b;
+  --form-shadow: rgba(79, 191, 168, 0.6);
+  --pagination-bg: #bfe8df;
+  --link-hover-bg: #3aa18c;
+  --navbar-focus: #9adacd;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 12px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 12px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 12px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 12px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 12px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 12px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 12px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 12px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 12px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 12px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 12px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-turquoise.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-turquoise.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 12px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 12px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 12px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 12px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 12px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 12px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 12px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus);
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 12px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+a.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.progress-bar-primary {
+  background-color: var(--primary-accent);
+}
+.progress-striped .progress-bar-primary {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+/*!
+ * Yamm!3 - Yet another megamenu for Bootstrap 3
+ * http://geedmo.github.com/yamm3
+ *
+ * @geedmo - Licensed under the MIT license
+ */
+.yamm .nav,
+.yamm .collapse,
+.yamm .dropup.use-yamm,
+.yamm .dropdown.use-yamm {
+  position: static;
+}
+.yamm .container {
+  position: relative;
+}
+.yamm .dropdown-menu {
+  left: auto;
+}
+.yamm .nav.navbar-right .dropdown-menu {
+  left: auto;
+  right: 0;
+}
+.yamm .yamm-content {
+  padding: 20px 30px;
+}
+.yamm .dropdown.yamm-fw .dropdown-menu {
+  left: 15px;
+  right: 15px;
+}
diff --git a/public/css/style.violet.css b/public/css/style.violet.css
new file mode 100644
index 000000000..ba3dac16a
--- /dev/null
+++ b/public/css/style.violet.css
@@ -0,0 +1,3581 @@
+/* Themed colors */
+:root {
+  --primary-accent: #986dbd;
+  --navbar-border-top: #653d87;
+  --button-border: #7a4aa3;
+  --link-focus: #724599;
+  --form-shadow: rgba(152, 109, 189, 0.6);
+  --pagination-bg: #e2d6ed;
+  --link-hover-bg: #7f4daa;
+  --navbar-focus: #cab3dd;
+}
+
+.clearfix:before,
+.clearfix:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after {
+  content: " ";
+  display: table;
+}
+.clearfix:after,
+.navbar:after,
+.navbar-header:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+  visibility: hidden !important;
+}
+.affix {
+  position: fixed;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+/* general styles */
+a,
+button {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.clickable {
+  cursor: pointer !important;
+}
+.required {
+  color: var(--primary-accent);
+}
+.accent {
+  color: var(--primary-accent);
+}
+.text-uppercase {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .text-center-sm {
+    text-align: center;
+  }
+}
+p.lead {
+  margin-bottom: 40px;
+}
+section,
+div.section {
+  margin-bottom: 40px;
+}
+.no-mb {
+  margin-bottom: 0 !important;
+}
+.mb-small {
+  margin-bottom: 20px !important;
+}
+.heading {
+  margin-bottom: 40px;
+}
+.heading h1,
+.heading h2,
+.heading h3,
+.heading h4,
+.heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+  vertical-align: middle;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.heading h1 i[class^="fa"],
+.heading h2 i[class^="fa"],
+.heading h3 i[class^="fa"],
+.heading h4 i[class^="fa"],
+.heading h5 i[class^="fa"] {
+  display: inline-block;
+  background: var(--primary-accent);
+  width: 30px;
+  height: 30px;
+  vertical-align: middle;
+  text-align: center;
+  color: #fff;
+  font-size: 12px;
+  line-height: 30px;
+  border-radius: 15px;
+}
+.icon {
+  display: inline-block;
+  width: 80px;
+  height: 80px;
+  color: #fff;
+  line-height: 80px;
+  border-radius: 40px;
+  border: solid 1px #fff;
+  font-size: 20px;
+}
+.icon.icon-lg {
+  font-size: 30px;
+  border-width: 2px;
+}
+.ul-icons {
+  padding-left: 10px;
+}
+.ul-icons li {
+  list-style-type: none;
+  line-height: 20px;
+  margin-bottom: 20px;
+}
+.ul-icons li i {
+  width: 20px;
+  height: 20px;
+  background: var(--primary-accent);
+  color: #fff;
+  text-align: center;
+  border-radius: 10px;
+  line-height: 20px;
+  margin-right: 10px;
+}
+ul.list-style-none {
+  list-style: none;
+}
+#text-page h1,
+#text-page h2,
+#text-page h3 {
+  font-weight: 700;
+}
+#error-page {
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 100px;
+}
+#error-page h4 {
+  margin-bottom: 40px;
+}
+#error-page p.buttons {
+  margin-top: 40px;
+}
+.pages-listing .item {
+  text-align: center;
+}
+.pages-listing .item h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 20px;
+  letter-spacing: 0.08em;
+}
+.pages-listing .item h3 a {
+  color: #555555;
+}
+.pages-listing .item .text {
+  margin-bottom: 20px;
+}
+.pages-listing .item .text p {
+  color: #999999;
+  font-size: 12px;
+  margin-bottom: 20px;
+}
+.banner {
+  margin-bottom: 30px;
+  text-align: center;
+}
+.banner img {
+  margin: 0 auto;
+}
+.banner a:hover img {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.pages {
+  text-align: center;
+}
+.pages .loadMore {
+  text-align: center;
+}
+.pages .pagination {
+  text-align: center;
+}
+.features-buttons button {
+  margin-bottom: 20px;
+}
+@media (min-width: 1300px) {
+  body.boxed {
+    background: url(https://www.toptal.com/designers/subtlepatterns/patterns/subtle_zebra_3d.png);
+  }
+  body.boxed #all {
+    position: relative;
+    background: #fff;
+    width: 1200px;
+    margin: 0 auto;
+    overflow: hidden;
+    -webkit-box-shadow: 0 0 5px #cccccc;
+    box-shadow: 0 0 5px #cccccc;
+  }
+}
+#top {
+  background: #555555;
+  color: #eeeeee;
+  padding: 10px 0;
+}
+#top p {
+  margin: 0;
+  font-size: 12px;
+}
+#top .social {
+  float: right;
+  text-align: right;
+}
+#top .social a {
+  color: #999999;
+  display: inline-block;
+  width: 24px;
+  height: 24px;
+  border-radius: 12px;
+  line-height: 24px;
+  font-size: 12px;
+  text-align: center;
+}
+#top .social a:hover {
+  color: #fff;
+  background: var(--primary-accent);
+  -webkit-transform: scale(1.1);
+  transform: scale(1.1);
+}
+#top .social a:hover.facebook {
+  background-color: #4460ae;
+}
+#top .social a:hover.gplus {
+  background-color: #c21f25;
+}
+#top .social a:hover.twitter {
+  background-color: #3cf;
+}
+#top .social a:hover.instagram {
+  background-color: #cd4378;
+}
+#top .social a:hover.email {
+  background-color: #4a7f45;
+}
+#top .login {
+  float: right;
+}
+#top .login a {
+  font-size: 12px;
+  color: #eeeeee;
+  margin-right: 15px;
+  text-decoration: none;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 767px) {
+  #top .login {
+    float: left;
+  }
+}
+#top.light {
+  background: #fff;
+  color: #999999;
+  border-bottom: solid 1px #eeeeee;
+}
+#top.light .login a {
+  color: #555555;
+}
+.navbar {
+  border: none;
+}
+.navbar ul.nav > li > a {
+  text-transform: uppercase;
+  text-decoration: underline;
+  font-weight: bold;
+  letter-spacing: 0.08em;
+  border-top: solid 5px transparent;
+}
+.navbar ul.nav > li > a:hover {
+  border-top: solid 5px var(--primary-accent);
+}
+.navbar ul.nav > li.active > a,
+.navbar ul.nav > li.open > a {
+  text-decoration: none !important;
+  border-top: solid 5px var(--navbar-border-top);
+}
+@media (max-width: 768px) {
+  .navbar ul.nav > li.active > a,
+  .navbar ul.nav > li.open > a {
+    border-top-color: transparent;
+  }
+  .navbar ul.nav > li > a:hover {
+    border-top-color: transparent;
+  }
+}
+.navbar.navbar-light ul.nav > li.active > a {
+  border-top: solid 5px var(--navbar-border-top);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar.navbar-light ul.nav > li.active > a:hover {
+  border-top: solid 5px var(--navbar-border-top);
+}
+.navbar.navbar-light ul.nav > li > a:hover,
+.navbar.navbar-light ul.nav > li.open > a:hover,
+.navbar.navbar-light ul.nav > li > a:focus,
+.navbar.navbar-light ul.nav > li.open > a:focus {
+  border-top: solid 5px var(--primary-accent);
+  background: #fff !important;
+  color: #555555 !important;
+}
+.navbar ul.dropdown-menu {
+  margin: 0;
+  padding: 0;
+}
+.navbar ul.dropdown-menu li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 4px 0;
+}
+.navbar ul.dropdown-menu li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  left: 0;
+}
+.navbar ul.dropdown-menu li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  background: none;
+  left: 2px;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .navbar ul.dropdown-menu li a:hover {
+    left: 0;
+  }
+}
+.navbar .yamm-content h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  margin-top: 5px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 767px) {
+  .navbar .yamm-content h3 {
+    font-size: 14px;
+  }
+}
+.navbar .yamm-content h5 {
+  text-transform: uppercase;
+  padding-bottom: 10px;
+  border-bottom: dotted 1px #555555;
+  letter-spacing: 0.08em;
+}
+.navbar .yamm-content ul {
+  margin: 0;
+  padding: 0;
+}
+.navbar .yamm-content ul li {
+  list-style-type: none;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  padding: 4px 0;
+}
+.navbar .yamm-content ul li a {
+  position: relative;
+  color: #999999;
+  font-size: 12px;
+  display: block;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.navbar .yamm-content ul li a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+  padding-left: 2px;
+}
+.navbar .yamm-content .banner {
+  margin-bottom: 10px;
+}
+.navbar .yamm-fw .dropdown-menu {
+  padding: 0;
+}
+.navbar .navbar-buttons {
+  float: right;
+}
+.navbar .navbar-buttons button,
+.navbar .navbar-buttons a.btn,
+.navbar .navbar-buttons .btn-default.navbar-toggle {
+  margin-top: 11px;
+  margin-bottom: 11px;
+  margin-left: 0;
+  margin-right: 5px;
+}
+.navbar .btn-default,
+.navbar .btn-default.navbar-toggle {
+  color: #999999;
+  background-color: #fff;
+  margin-left: 7px;
+  margin-right: 0;
+}
+.navbar .btn-default:hover,
+.navbar .btn-default.navbar-toggle:hover,
+.navbar .btn-default:focus,
+.navbar .btn-default.navbar-toggle:focus {
+  background-color: #fff;
+  border-color: var(--primary-accent);
+  color: var(--primary-accent);
+}
+.navbar #search {
+  clear: both;
+  border-top: solid 1px var(--primary-accent);
+  text-align: right;
+}
+.navbar #search form {
+  float: right;
+}
+.navbar #search form .input-group {
+  width: 500px;
+}
+@media (max-width: 768px) {
+  .navbar #search form .input-group {
+    width: 100%;
+  }
+}
+.navbar #basket-overview a {
+  margin-left: 7px;
+}
+.navbar-affixed-top {
+  top: 0;
+  z-index: 1000;
+  width: 100%;
+}
+.navbar-affixed-top.affix {
+  -webkit-box-shadow: 0 0 5px #cccccc;
+  box-shadow: 0 0 5px #cccccc;
+}
+.navbar-affixed-top.affix + section {
+  margin-top: 62px;
+}
+@supports (position: sticky) {
+  .navbar-affixed-top {
+    position: sticky;
+  }
+  .navbar-affixed-top.affix + section {
+    margin-top: 0;
+  }
+}
+#login-modal {
+  overflow: hidden;
+}
+#login-modal .modal-header h4 {
+  text-transform: uppercase;
+}
+#login-modal form {
+  margin-bottom: 20px;
+}
+#login-modal a {
+  color: var(--primary-accent);
+}
+#login-modal p {
+  font-weight: 300;
+  margin-bottom: 20px;
+  font-size: 13px;
+}
+/* buttons  */
+.btn {
+  font-weight: 700;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 6px 12px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  border-radius: 0;
+}
+.input-group .btn {
+  font-size: 14px;
+}
+.btn-lg {
+  padding: 10px 16px;
+  font-size: 14px;
+  line-height: 1.33;
+  border-radius: 0;
+}
+.btn-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-xs {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 0;
+}
+.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  color: var(--primary-accent);
+  background-color: #e6e6e6;
+  border-color: var(--button-border);
+}
+.btn-template-main:active,
+.btn-template-main.active,
+.open > .dropdown-toggle.btn-template-main {
+  background-image: none;
+}
+.btn-template-main.disabled,
+.btn-template-main[disabled],
+fieldset[disabled] .btn-template-main,
+.btn-template-main.disabled:hover,
+.btn-template-main[disabled]:hover,
+fieldset[disabled] .btn-template-main:hover,
+.btn-template-main.disabled:focus,
+.btn-template-main[disabled]:focus,
+fieldset[disabled] .btn-template-main:focus,
+.btn-template-main.disabled:active,
+.btn-template-main[disabled]:active,
+fieldset[disabled] .btn-template-main:active,
+.btn-template-main.disabled.active,
+.btn-template-main[disabled].active,
+fieldset[disabled] .btn-template-main.active {
+  background-color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-main .badge {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.btn-template-main:hover,
+.btn-template-main:focus,
+.btn-template-main:active,
+.btn-template-main.active {
+  background: var(--primary-accent);
+  color: #ffffff;
+  border-color: var(--primary-accent);
+}
+.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active,
+.open > .dropdown-toggle.btn-template-transparent-primary {
+  background-image: none;
+}
+.btn-template-transparent-primary.disabled,
+.btn-template-transparent-primary[disabled],
+fieldset[disabled] .btn-template-transparent-primary,
+.btn-template-transparent-primary.disabled:hover,
+.btn-template-transparent-primary[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-primary:hover,
+.btn-template-transparent-primary.disabled:focus,
+.btn-template-transparent-primary[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-primary:focus,
+.btn-template-transparent-primary.disabled:active,
+.btn-template-transparent-primary[disabled]:active,
+fieldset[disabled] .btn-template-transparent-primary:active,
+.btn-template-transparent-primary.disabled.active,
+.btn-template-transparent-primary[disabled].active,
+fieldset[disabled] .btn-template-transparent-primary.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-primary .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-primary:hover,
+.btn-template-transparent-primary:focus,
+.btn-template-transparent-primary:active,
+.btn-template-transparent-primary.active {
+  background: #fff;
+  color: var(--primary-accent);
+  border-color: #fff;
+}
+.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  color: #ffffff;
+  background-color: rgba(0, 0, 0, 0);
+  border-color: #e0e0e0;
+}
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active,
+.open > .dropdown-toggle.btn-template-transparent-black {
+  background-image: none;
+}
+.btn-template-transparent-black.disabled,
+.btn-template-transparent-black[disabled],
+fieldset[disabled] .btn-template-transparent-black,
+.btn-template-transparent-black.disabled:hover,
+.btn-template-transparent-black[disabled]:hover,
+fieldset[disabled] .btn-template-transparent-black:hover,
+.btn-template-transparent-black.disabled:focus,
+.btn-template-transparent-black[disabled]:focus,
+fieldset[disabled] .btn-template-transparent-black:focus,
+.btn-template-transparent-black.disabled:active,
+.btn-template-transparent-black[disabled]:active,
+fieldset[disabled] .btn-template-transparent-black:active,
+.btn-template-transparent-black.disabled.active,
+.btn-template-transparent-black[disabled].active,
+fieldset[disabled] .btn-template-transparent-black.active {
+  background-color: transparent;
+  border-color: #ffffff;
+}
+.btn-template-transparent-black .badge {
+  color: transparent;
+  background-color: #ffffff;
+}
+.btn-template-transparent-black:hover,
+.btn-template-transparent-black:focus,
+.btn-template-transparent-black:active,
+.btn-template-transparent-black.active {
+  background: #fff;
+  color: #000;
+  border-color: #fff;
+}
+.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary:hover,
+.btn-template-primary:focus,
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  color: #ffffff;
+  background-color: var(--link-hover-bg);
+  border-color: var(--button-border);
+}
+.btn-template-primary:active,
+.btn-template-primary.active,
+.open > .dropdown-toggle.btn-template-primary {
+  background-image: none;
+}
+.btn-template-primary.disabled,
+.btn-template-primary[disabled],
+fieldset[disabled] .btn-template-primary,
+.btn-template-primary.disabled:hover,
+.btn-template-primary[disabled]:hover,
+fieldset[disabled] .btn-template-primary:hover,
+.btn-template-primary.disabled:focus,
+.btn-template-primary[disabled]:focus,
+fieldset[disabled] .btn-template-primary:focus,
+.btn-template-primary.disabled:active,
+.btn-template-primary[disabled]:active,
+fieldset[disabled] .btn-template-primary:active,
+.btn-template-primary.disabled.active,
+.btn-template-primary[disabled].active,
+fieldset[disabled] .btn-template-primary.active {
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.btn-template-primary .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+#intro {
+  background: url('../img/home.jpg') no-repeat center top;
+  -webkit-background-size: cover;
+  -moz-background-size: cover;
+  -o-background-size: cover;
+  background-size: cover;
+}
+#intro .item {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  height: 100%;
+}
+#intro .item h1 {
+  text-transform: uppercase;
+  font-size: 50px;
+  color: #fff;
+  margin-bottom: 40px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #intro .item h1 {
+    font-size: 40px;
+  }
+}
+@media (max-width: 767px) {
+  #intro .item h1 {
+    font-size: 25px;
+  }
+}
+#intro .item h3 {
+  color: #fff;
+  margin-bottom: 40px;
+}
+@media (max-width: 767px) {
+  #intro .item h3 {
+    font-size: 15px;
+    margin-bottom: 20px;
+  }
+}
+#intro .item .btn {
+  text-transform: none;
+}
+@media (max-width: 991px) {
+  #intro .item .btn {
+    font-size: 14px;
+  }
+}
+@media (max-width: 991px) {
+  #intro .item .carousel-caption {
+    left: 10%;
+    right: 10%;
+  }
+}
+#intro .container,
+#intro .row {
+  height: 100%;
+  position: relative;
+}
+.jumbotron {
+  padding: 30px;
+  margin-bottom: 0;
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.jumbotron .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3,
+.jumbotron p,
+.jumbotron ul {
+  color: #fff;
+}
+.jumbotron h1,
+.jumbotron h2,
+.jumbotron h3 {
+  color: #ffffff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.jumbotron p {
+  margin-bottom: 20px;
+  font-size: 21px;
+  font-weight: 400;
+}
+.jumbotron p.text-uppercase {
+  font-weight: 700;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron {
+  border-radius: 0;
+}
+.jumbotron .container {
+  max-width: 100%;
+  z-index: 2;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron {
+    padding-left: 60px;
+    padding-right: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 46px;
+  }
+}
+#categoryMenu h3 {
+  padding: 20px;
+  background: #f7f7f7;
+  margin: 0;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu h3 {
+  padding: 5px 0;
+  margin: 0;
+}
+.panel.sidebar-menu {
+  background: #fff;
+  margin: 0 0 20px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.panel.sidebar-menu .panel-heading {
+  text-transform: uppercase;
+  margin-bottom: 10px;
+  background: none;
+  padding: 0;
+  letter-spacing: 0.08em;
+  border-bottom: none;
+}
+.panel.sidebar-menu .panel-heading h1,
+.panel.sidebar-menu .panel-heading h2,
+.panel.sidebar-menu .panel-heading h3,
+.panel.sidebar-menu .panel-heading h4,
+.panel.sidebar-menu .panel-heading h5 {
+  display: inline-block;
+  border-bottom: solid 5px var(--primary-accent);
+  line-height: 1.1;
+  margin-bottom: 0;
+  padding-bottom: 10px;
+}
+.panel.sidebar-menu .panel-heading .btn.btn-danger {
+  color: #fff;
+  margin-top: 5px;
+}
+.panel.sidebar-menu .panel-body {
+  padding: 0;
+}
+.panel.sidebar-menu .panel-body span.colour {
+  display: inline-block;
+  width: 15px;
+  height: 15px;
+  border: solid 1px #555555;
+  vertical-align: top;
+  margin-top: 2px;
+  margin-left: 5px;
+}
+.panel.sidebar-menu .panel-body span.colour.white {
+  background: #fff;
+}
+.panel.sidebar-menu .panel-body span.colour.red {
+  background: red;
+}
+.panel.sidebar-menu .panel-body span.colour.green {
+  background: green;
+}
+.panel.sidebar-menu .panel-body span.colour.blue {
+  background: blue;
+}
+.panel.sidebar-menu .panel-body span.colour.yellow {
+  background: yellow;
+}
+.panel.sidebar-menu .panel-body label {
+  color: #999999;
+  font-size: 12px;
+}
+.panel.sidebar-menu .panel-body label:hover {
+  color: #555555;
+}
+.panel.sidebar-menu ul.nav.category-menu {
+  margin-bottom: 20px;
+  text-transform: uppercase;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.panel.sidebar-menu ul.nav.category-menu li a {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.panel.sidebar-menu ul.nav ul {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.nav ul li {
+  display: block;
+}
+.panel.sidebar-menu ul.nav ul li a {
+  position: relative;
+  font-family: "Times New Roman", Times, serif;
+  font-weight: normal;
+  text-transform: none !important;
+  display: block;
+  padding: 10px 15px;
+  padding-left: 30px;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.nav ul li a:hover,
+.panel.sidebar-menu ul.nav ul li a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.panel.sidebar-menu ul.tag-cloud {
+  list-style: none;
+  padding-left: 0;
+}
+.panel.sidebar-menu ul.tag-cloud li {
+  display: inline-block;
+}
+.panel.sidebar-menu ul.tag-cloud li a {
+  display: inline-block;
+  padding: 5px;
+  border: solid 1px #eeeeee;
+  border-radius: 0;
+  color: var(--primary-accent);
+  margin: 5px 5px 5px 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 700;
+  font-size: 12px;
+  text-decoration: none;
+}
+.panel.sidebar-menu ul.tag-cloud li a:hover {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a {
+  color: #FFFFFF;
+  background-color: var(--primary-accent);
+}
+.panel.sidebar-menu ul.tag-cloud li.active a:hover {
+  color: #FFFFFF;
+}
+.panel.sidebar-menu ul.popular,
+.panel.sidebar-menu ul.recent {
+  list-style: none;
+  padding-left: 0;
+  padding: 20px 0;
+}
+.panel.sidebar-menu ul.popular li,
+.panel.sidebar-menu ul.recent li {
+  margin-bottom: 10px;
+  padding: 5px 0;
+  border-bottom: dotted 1px #eeeeee;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li:before,
+.panel.sidebar-menu ul.recent li:before,
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  content: " ";
+  display: table;
+}
+.panel.sidebar-menu ul.popular li:after,
+.panel.sidebar-menu ul.recent li:after {
+  clear: both;
+}
+.panel.sidebar-menu ul.popular li img,
+.panel.sidebar-menu ul.recent li img {
+  width: 50px;
+  margin-right: 10px;
+}
+.panel.sidebar-menu ul.popular li h5,
+.panel.sidebar-menu ul.recent li h5 {
+  margin: 0 0 10px;
+}
+.panel.sidebar-menu ul.popular li h5 a,
+.panel.sidebar-menu ul.recent li h5 a {
+  font-weight: normal;
+}
+.panel.sidebar-menu ul.popular li p.date,
+.panel.sidebar-menu ul.recent li p.date {
+  float: right;
+  font-size: 12px;
+  color: #999999;
+}
+.panel.sidebar-menu ul.popular li:last-child,
+.panel.sidebar-menu ul.recent li:last-child {
+  border-bottom: none;
+}
+.panel.sidebar-menu .text-widget {
+  font-size: 12px;
+}
+.panel.sidebar-menu.with-icons ul.nav li a:after {
+  font-family: 'FontAwesome';
+  content: "\f105";
+  position: relative;
+  top: 0;
+  float: right;
+}
+/* ribbons for product sales etc. */
+.ribbon {
+  position: absolute;
+  top: 50px;
+  padding-left: 51px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+.ribbon .ribbon-background {
+  position: absolute;
+  top: 0;
+  right: 0;
+}
+.ribbon .theribbon {
+  position: relative;
+  width: 80px;
+  padding: 6px 20px 6px 20px;
+  margin: 30px 10px 10px -71px;
+  color: #fff;
+  background-color: var(--primary-accent);
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.ribbon .theribbon:before,
+.ribbon .theribbon:after {
+  content: ' ';
+  position: absolute;
+  width: 0;
+  height: 0;
+}
+.ribbon .theribbon:after {
+  left: 0px;
+  top: 100%;
+  border-width: 5px 10px;
+  border-style: solid;
+  border-color: #000000 #000000 transparent transparent;
+}
+.ribbon.sale {
+  top: 0;
+}
+.ribbon.new {
+  top: 50px;
+}
+.ribbon.new .theribbon {
+  background-color: #5bc0de;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.new .theribbon:after {
+  border-color: #2390b0 #2390b0 transparent transparent;
+}
+.ribbon.gift {
+  top: 100px;
+}
+.ribbon.gift .theribbon {
+  background-color: #5cb85c;
+  text-shadow: 0px 1px 2px #bbb;
+}
+.ribbon.gift .theribbon:after {
+  border-color: #357935 #357935 transparent transparent;
+}
+.owl-carousel .owl-controls .owl-page.active span,
+.owl-theme .owl-controls .owl-page.active span,
+.owl-carousel .owl-controls.clickable .owl-page:hover span,
+.owl-theme .owl-controls.clickable .owl-page:hover span {
+  background: var(--primary-accent);
+}
+.owl-carousel .owl-controls .owl-buttons,
+.owl-theme .owl-controls .owl-buttons {
+  position: absolute;
+  top: 5px;
+  right: 0;
+}
+.owl-carousel .owl-controls .owl-buttons div,
+.owl-theme .owl-controls .owl-buttons div {
+  width: 26px;
+  height: 26px;
+  line-height: 25px;
+  margin: 0 5px 0 0;
+  font-size: 18px;
+  color: var(--primary-accent);
+  padding: 0;
+  background: #fff;
+  border-radius: 13px;
+  vertical-align: middle;
+  text-align: center;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+.home-carousel {
+  position: relative;
+  background: url('../img/photogrid.jpg') center center repeat;
+  background-size: cover;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.home-carousel .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--primary-accent);
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
+.home-carousel .owl-carousel {
+  padding-top: 60px;
+  padding-bottom: 20px;
+}
+.home-carousel .owl-theme .owl-controls .owl-page span {
+  background: #666;
+}
+.home-carousel .owl-theme .owl-controls .owl-page.active span {
+  background: #fff;
+}
+.home-carousel .owl-theme .owl-controls .owl-page:hover span {
+  background: #fff;
+}
+@media (max-width: 767px) {
+  .home-carousel {
+    text-align: center !important;
+  }
+}
+@media (min-width: 992px) {
+  .home-carousel .right {
+    text-align: right;
+  }
+}
+.home-carousel h1,
+.home-carousel h2,
+.home-carousel h3,
+.home-carousel p,
+.home-carousel ul {
+  color: #fff;
+}
+.home-carousel h1 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 46px;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  .home-carousel h1 {
+    font-size: 36px;
+  }
+}
+.home-carousel h2 {
+  font-weight: 700;
+  text-transform: uppercase;
+  font-size: 40px;
+  letter-spacing: 0.08em;
+}
+.home-carousel ul,
+.home-carousel p {
+  font-size: 18px;
+  font-weight: 700;
+  padding: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.10em;
+}
+@media (max-width: 991px) {
+  .home-carousel ul,
+  .home-carousel p {
+    font-size: 14px;
+  }
+}
+.home-carousel ul li {
+  margin-bottom: 10px;
+}
+.customers {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.customers .item {
+  list-style-type: none;
+  text-align: center;
+  margin: 0 20px;
+}
+.customers .item img {
+  display: inline-block;
+  filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale");
+  /* Firefox 10+, Firefox on Android */
+  filter: gray;
+  /* IE6-9 */
+  -webkit-filter: grayscale(100%);
+  /* Chrome 19+, Safari 6+, Safari 6+ iOS */
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.customers .item img:hover {
+  max-width: auto;
+  filter: none;
+  -webkit-filter: none;
+}
+.testimonials {
+  padding: 0;
+  margin-bottom: 40px;
+}
+.testimonials .item {
+  list-style-type: none;
+  margin: 0 5px;
+  background: #fff;
+  padding-bottom: 60px;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.testimonials .item .testimonial {
+  position: relative;
+  padding: 20px;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial:before,
+.testimonials .item .testimonial:after {
+  content: " ";
+  display: table;
+}
+.testimonials .item .testimonial:after {
+  clear: both;
+}
+.testimonials .item .testimonial .text {
+  color: #999999;
+  margin-bottom: 40px;
+}
+.testimonials .item .testimonial .bottom {
+  position: absolute;
+  left: 0;
+  bottom: 0;
+  width: 100%;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px;
+  height: 50px;
+}
+.testimonials .item .testimonial .bottom .icon {
+  color: var(--primary-accent);
+  font-size: 30px;
+  float: left;
+  width: 20%;
+}
+.testimonials .item .testimonial .name-picture {
+  float: right;
+  width: 80%;
+  text-align: right;
+}
+.testimonials .item .testimonial .name-picture h5 {
+  font-size: 14px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.testimonials .item .testimonial .name-picture p {
+  color: #999999;
+  margin: 0;
+  font-size: 12px;
+}
+.testimonials .item .testimonial .name-picture img {
+  float: right;
+  width: 60px;
+  border-radius: 30px;
+  margin-left: 10px;
+}
+.team-member {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.team-member h3 {
+  font-size: 18px;
+  text-transform: uppercase;
+  margin-bottom: 5px;
+  letter-spacing: 0.08em;
+}
+.team-member h3 a {
+  color: #555555;
+}
+.team-member p.role {
+  color: #999999;
+  font-size: 12px;
+  text-transform: uppercase;
+  letter-spacing: 0.06em;
+}
+.team-member .social {
+  margin-bottom: 20px;
+}
+.team-member .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email {
+  background-color: #4a7f45;
+}
+.team-member .text p {
+  color: #999999;
+  font-size: 12px;
+}
+.team-member .social,
+.team-member-detail .social {
+  margin-bottom: 20px;
+}
+.team-member .social a,
+.team-member-detail .social a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+.team-member .social a i,
+.team-member-detail .social a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+.team-member .social a.facebook,
+.team-member-detail .social a.facebook {
+  background-color: #4460ae;
+}
+.team-member .social a.gplus,
+.team-member-detail .social a.gplus {
+  background-color: #c21f25;
+}
+.team-member .social a.twitter,
+.team-member-detail .social a.twitter {
+  background-color: #3cf;
+}
+.team-member .social a.instagram,
+.team-member-detail .social a.instagram {
+  background-color: #cd4378;
+}
+.team-member .social a.email,
+.team-member-detail .social a.email {
+  background-color: #4a7f45;
+}
+.box-simple {
+  text-align: center;
+  margin-bottom: 40px;
+}
+.box-simple .icon {
+  color: var(--primary-accent);
+  border-color: var(--primary-accent);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+.box-simple h3 {
+  font-weight: normal;
+  font-size: 18px;
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-simple h3 a {
+  color: #555555;
+}
+.box-simple p {
+  color: #999999;
+}
+.box-simple:hover .icon {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.box-simple:hover .icon i {
+  -webkit-transform: scale(1, 1);
+  -ms-transform: scale(1, 1);
+  -o-transform: scale(1, 1);
+  transform: scale(1, 1);
+}
+.box-simple.box-white {
+  padding: 20px;
+  border: dotted 1px #999999;
+}
+.box-simple.box-white .icon {
+  color: #555555;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark {
+  padding: 20px;
+  border: dotted 1px #999999;
+  background: #555555;
+  color: #fff;
+}
+.box-simple.box-dark .icon {
+  color: #f7f7f7;
+  border-color: transparent;
+  font-size: 70px;
+}
+.box-simple.box-dark h3 {
+  color: #fff;
+}
+.box-simple.box-dark h3 a {
+  color: #fff;
+}
+.box-simple.box-dark p {
+  color: #fff;
+}
+.box-image {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+.box-image-text {
+  position: relative;
+  overflow: hidden;
+  text-align: center;
+  margin: 15px 0;
+}
+.box-image-text .top {
+  position: relative;
+  margin-bottom: 10px;
+}
+.box-image-text .top .bg {
+  position: absolute;
+  top: auto;
+  bottom: 0;
+  width: 100%;
+  height: 100%;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  background: var(--primary-accent);
+}
+.box-image-text .top .name {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  bottom: 0;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .top .name h3 {
+  color: #fff;
+  text-transform: uppercase;
+  font-size: 18px;
+  letter-spacing: 0.08em;
+}
+.box-image-text .top .name h3 a {
+  color: #fff;
+  text-decoration: none;
+}
+.box-image-text .top .text {
+  position: absolute;
+  width: 100%;
+  height: 50%;
+  top: 0;
+  -webkit-transform: translate(0, -150%);
+  -ms-transform: translate(0, -150%);
+  -o-transform: translate(0, -150%);
+  transform: translate(0, -150%);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  color: #fff;
+  padding: 0 20px;
+}
+.box-image-text .content h3,
+.box-image-text .content h4 {
+  text-transform: uppercase;
+  line-height: 1.5;
+  color: #555555;
+  font-weight: 800;
+  letter-spacing: 0.08em;
+}
+.box-image-text .content p {
+  color: #999999;
+}
+.box-image-text:hover .bg {
+  opacity: 0.7;
+  filter: alpha(opacity=70);
+}
+.box-image-text:hover .name {
+  position: absolute;
+  -webkit-transform: translate(0, -75%);
+  -ms-transform: translate(0, -75%);
+  -o-transform: translate(0, -75%);
+  transform: translate(0, -75%);
+}
+.box-image-text:hover .text {
+  position: absolute;
+  -webkit-transform: translate(0, 100%);
+  -ms-transform: translate(0, 100%);
+  -o-transform: translate(0, 100%);
+  transform: translate(0, 100%);
+}
+/* universal box */
+.box {
+  background: #fff;
+  margin: 0 0 30px;
+  border: solid 1px #ccc;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 20px 0;
+  border-left: none;
+  border-right: none;
+}
+.box .box-header {
+  background: #f7f7f7;
+  margin: -20px 0 20px;
+  padding: 20px;
+  border-bottom: solid 1px #eeeeee;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-header:before,
+.box .box-header:after {
+  content: " ";
+  display: table;
+}
+.box .box-header:after {
+  clear: both;
+}
+.box .box-footer {
+  background: #f7f7f7;
+  margin: 30px 0 -20px;
+  padding: 20px;
+  border-top: solid 1px #eeeeee;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+.box .box-footer:before,
+.box .box-footer:after {
+  content: " ";
+  display: table;
+}
+.box .box-footer:after {
+  clear: both;
+}
+@media (max-width: 991px) {
+  .box .box-footer .btn {
+    margin-bottom: 20px;
+  }
+}
+.box.no-border {
+  border: none;
+}
+#heading-breadcrumbs {
+  background: url('../img/texture-violet.png') center center repeat;
+  padding: 20px 0;
+  margin-bottom: 40px;
+}
+#heading-breadcrumbs.no-mb {
+  margin-bottom: 0;
+}
+#heading-breadcrumbs h1 {
+  color: #333333;
+  text-transform: uppercase;
+  font-size: 30px;
+  font-weight: 700;
+  letter-spacing: 0.08em;
+}
+@media (max-width: 991px) {
+  #heading-breadcrumbs h1 {
+    text-align: center;
+  }
+}
+#heading-breadcrumbs ul.breadcrumb {
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+.bar {
+  position: relative;
+  background: var(--primary-accent);
+  padding: 60px 0;
+}
+.bar.background-pentagon {
+  background: url('../img/texture-violet.png') center center repeat;
+  border-top: solid 1px #999999;
+  border-bottom: solid 1px #999999;
+}
+.bar.background-gray {
+  background: #eeeeee;
+}
+.bar.background-gray-dark {
+  background: #555555;
+}
+.bar.background-white {
+  background: #fff;
+}
+.bar.background-image-fixed-1 {
+  background: url('../img/fixed-background-1.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.background-image-fixed-2 {
+  background: url('../img/fixed-background-2.jpg') center top no-repeat;
+  background-attachment: fixed;
+  background-size: cover;
+}
+.bar.color-white h1,
+.bar.color-white h2,
+.bar.color-white h3,
+.bar.color-white h4,
+.bar.color-white h5,
+.bar.color-white h6,
+.bar.color-white p {
+  color: #fff;
+}
+.bar.padding-big {
+  padding: 50px 0;
+}
+.bar.padding-horizontal {
+  padding-left: 30px;
+  padding-right: 30px;
+}
+.bar.margin-vertical {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.bar .dark-mask {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background: #000;
+  opacity: 0.3;
+  filter: alpha(opacity=30);
+}
+.portfolio.no-space {
+  padding: 0 15px;
+}
+.portfolio.no-space .box-image {
+  margin: 0 -15px;
+}
+.portfolio-project .project-more h4 {
+  color: #555555;
+  text-transform: uppercase;
+  margin-bottom: 0;
+  text-align: left;
+  font-size: 14px;
+  letter-spacing: 0.08em;
+}
+.portfolio-project .project-more p {
+  color: #999999;
+  padding: 10px 0;
+  margin-bottom: 20px;
+  text-align: left;
+}
+.portfolio-showcase {
+  margin: 15px 0 60px;
+}
+.portfolio-showcase h3 a {
+  text-transform: uppercase;
+  line-height: 1.5;
+  letter-spacing: 0.08em;
+}
+.portfolio-showcase p.lead {
+  color: #555555;
+  margin-bottom: 20px;
+}
+.portfolio-showcase p {
+  color: #999999;
+}
+.portfolio-showcase p.buttons {
+  margin-top: 40px;
+}
+.see-more {
+  text-align: center;
+  margin-top: 20px;
+  padding-top: 20px;
+}
+.see-more p {
+  font-size: 28px;
+  font-weight: 100;
+  margin-bottom: 20px;
+}
+.showcase .item {
+  text-align: center;
+}
+.showcase .item .icon {
+  display: inline-block;
+  width: 50px;
+  height: 50px;
+  color: #555555;
+  line-height: 50px;
+  border-radius: 25px;
+  border: solid 1px #555555;
+}
+.showcase .item h4 {
+  color: #555555;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  line-height: 1.5;
+  font-size: 16px;
+}
+.showcase .item h4 span {
+  font-weight: bold;
+  font-size: 51px;
+}
+.packages .package {
+  background: #fff;
+  margin-top: 25px;
+  margin-bottom: 20px;
+  padding-bottom: 15px;
+  text-align: center;
+  border: solid 1px var(--primary-accent);
+  overflow: hidden;
+}
+.packages .package .package-header {
+  height: 57px;
+  color: #fff;
+  line-height: 57px;
+  background: var(--primary-accent);
+}
+.packages .package .package-header h5 {
+  color: #fff;
+  text-transform: uppercase;
+  font-weight: bold;
+  line-height: 57px;
+  margin: 0;
+  letter-spacing: 0.08em;
+}
+.packages .package .package-header.light-gray {
+  background: #eeeeee;
+}
+.packages .package .package-header.light-gray h5 {
+  color: #555555;
+}
+.packages .package .price {
+  line-height: 120px;
+  height: 100px;
+  color: #fff;
+  font-weight: 400;
+}
+.packages .package .price h4 {
+  display: inline;
+  font-size: 50px;
+  line-height: normal;
+  margin-bottom: 0;
+}
+.packages .package .price .period {
+  line-height: normal;
+  color: #999999;
+}
+.packages .package ul {
+  padding: 0;
+}
+.packages .package ul li {
+  list-style-type: none;
+  padding-top: 10px;
+  padding-bottom: 10px;
+  width: 80%;
+  margin: auto;
+  border-bottom: 1px dotted #ccc;
+}
+.packages .package ul li:last-child {
+  border-bottom: 0;
+}
+.packages .package ul li i {
+  font-size: 13px;
+  margin-right: 5px;
+}
+.packages .best-value .package {
+  margin-top: 0;
+  padding-bottom: 40px;
+}
+.packages .best-value .package .package-header {
+  height: 72px;
+  padding-top: 17px;
+  height: 82px !important;
+}
+.packages .best-value .package .package-header h5 {
+  font-weight: bold;
+  line-height: 29px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.packages .best-value .package .package-header .meta-text {
+  font-size: 13px;
+  line-height: 15px;
+}
+#map {
+  height: 300px;
+}
+#map.with-border {
+  border-top: solid 1px var(--primary-accent);
+  border-bottom: solid 1px var(--primary-accent);
+}
+#blog-listing-big .post,
+#blog-homepage .post {
+  margin-bottom: 60px;
+}
+#blog-listing-big .post h2,
+#blog-homepage .post h2,
+#blog-listing-big .post h4,
+#blog-homepage .post h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post h2 a,
+#blog-homepage .post h2 a,
+#blog-listing-big .post h4 a,
+#blog-homepage .post h4 a {
+  color: #555555;
+}
+#blog-listing-big .post h2 a:hover,
+#blog-homepage .post h2 a:hover,
+#blog-listing-big .post h4 a:hover,
+#blog-homepage .post h4 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-big .post .author-category,
+#blog-homepage .post .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  letter-spacing: 0.08em;
+}
+#blog-listing-big .post .author-category a,
+#blog-homepage .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-big .post .date-comments a,
+#blog-homepage .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-big .post .date-comments a:hover,
+#blog-homepage .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-big .post .date-comments,
+  #blog-homepage .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-big .post .intro,
+#blog-homepage .post .intro {
+  text-align: left;
+}
+#blog-listing-big .post .image,
+#blog-homepage .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-big .post .image img,
+#blog-homepage .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-big .post .image img.img-responsive,
+  #blog-homepage .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-big .post .video,
+#blog-homepage .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-big .post .read-more,
+#blog-homepage .post .read-more {
+  text-align: right;
+}
+#blog-listing-medium .post {
+  margin-bottom: 60px;
+}
+#blog-listing-medium .post h2 {
+  text-transform: uppercase;
+  margin: 0 0 10px;
+  font-size: 24px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post h2 a {
+  color: #555555;
+}
+#blog-listing-medium .post h2 a:hover {
+  color: var(--primary-accent);
+}
+#blog-listing-medium .post .author-category {
+  float: left;
+  color: #999999;
+  text-transform: uppercase;
+  font-weight: 300;
+  font-size: 12px;
+  letter-spacing: 0.08em;
+}
+#blog-listing-medium .post .author-category a {
+  font-weight: 500;
+}
+#blog-listing-medium .post .date-comments {
+  float: right;
+  font-size: 12px;
+}
+#blog-listing-medium .post .date-comments a {
+  color: #999999;
+  margin-right: 20px;
+}
+#blog-listing-medium .post .date-comments a:hover {
+  color: var(--primary-accent);
+}
+@media (min-width: 768px) {
+  #blog-listing-medium .post .date-comments {
+    text-align: right;
+  }
+}
+#blog-listing-medium .post .intro {
+  text-align: left;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .clearfix:before,
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:before,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:before,
+#blog-listing-medium .post .navbar-header:after {
+  content: " ";
+  display: table;
+}
+#blog-listing-medium .post .clearfix:after,
+#blog-listing-medium .post .navbar:after,
+#blog-listing-medium .post .navbar-header:after {
+  clear: both;
+}
+#blog-listing-medium .post .image {
+  margin-bottom: 10px;
+  overflow: hidden;
+}
+#blog-listing-medium .post .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  #blog-listing-medium .post .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+#blog-listing-medium .post .video {
+  margin-bottom: 10px;
+}
+#blog-listing-medium .post .read-more {
+  text-align: right;
+}
+.box-image-text.blog .author-category {
+  color: #999999;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-weight: 300;
+  font-size: 12px;
+}
+.box-image-text.blog .author-category a {
+  font-weight: 500;
+}
+.box-image-text.blog .intro {
+  text-align: left;
+  margin-bottom: 20px;
+}
+#blog-homepage .post {
+  margin-bottom: 30px;
+}
+#blog-homepage .post h2,
+#blog-homepage .post h4,
+#blog-homepage .post .author-category,
+#blog-homepage .post .read-more {
+  text-align: center;
+}
+#blog-homepage .post .read-more {
+  margin-top: 20px;
+}
+#blog-post #post-content {
+  margin-bottom: 20px;
+}
+#blog-post #post-content img{
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin: auto;
+}
+#blog-post .comment {
+  margin-bottom: 25px;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment:before,
+#blog-post .comment:after {
+  content: " ";
+  display: table;
+}
+#blog-post .comment:after {
+  clear: both;
+}
+#blog-post .comment .posted {
+  color: #999999;
+  font-size: 12px;
+}
+#blog-post .comment .reply {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#blog-post .comment.last {
+  margin-bottom: 0;
+}
+#blog-post #comments,
+#blog-post #comment-form {
+  padding: 20px 0;
+  margin-top: 20px;
+  border-top: solid 1px #eeeeee;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments:before,
+#blog-post #comment-form:before,
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  content: " ";
+  display: table;
+}
+#blog-post #comments:after,
+#blog-post #comment-form:after {
+  clear: both;
+}
+#blog-post #comments h4,
+#blog-post #comment-form h4 {
+  margin-bottom: 20px;
+}
+#blog-post #comment-form {
+  margin-bottom: 20px;
+}
+.product {
+  background: #fff;
+  border-bottom: solid 1px #e6e6e6;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  margin-bottom: 60px;
+  overflow: hidden;
+  text-align: center;
+}
+.product .image {
+  overflow: hidden;
+}
+.product .image img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+@media (max-width: 767px) {
+  .product .image img.img-responsive {
+    min-width: 100%;
+  }
+}
+.product .text {
+  padding: 10px;
+}
+.product .text h3 {
+  font-size: 14px;
+  font-weight: 700;
+  height: 39.6px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+.product .text h3 a {
+  color: #555555;
+}
+.product .text h3 a:hover {
+  text-decoration: none;
+}
+.product .text p.price {
+  font-size: 18px;
+}
+.product .text p.price del {
+  color: #999999;
+}
+.product .buttons {
+  clear: both;
+  position: absolute;
+  display: none;
+  bottom: 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 100%;
+  border: solid 1px transparent;
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.9);
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  text-align: center;
+}
+.product .buttons .btn {
+  margin-bottom: 20px;
+}
+.product:hover {
+  border-bottom: solid 1px #808080;
+  top: 0;
+}
+.product:hover .buttons {
+  clear: both;
+  position: absolute;
+  top: 0;
+  background: rgba(255, 255, 255, 0.5);
+}
+.product:hover .image img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+.goToDescription {
+  font-size: 12px;
+  text-align: center;
+  margin-bottom: 40px;
+}
+.goToDescription a {
+  color: #999999;
+  text-decoration: underline;
+}
+#productMain {
+  margin-bottom: 30px;
+}
+#productMain .sizes {
+  text-align: center;
+}
+#productMain .sizes h3 {
+  font-weight: 700;
+  letter-spacing: 0.08em;
+  text-transform: uppercase;
+  margin-bottom: 40px;
+}
+#productMain .sizes a {
+  display: inline-block;
+  width: 40px;
+  height: 40px;
+  border-radius: 40px;
+  background: #ccc;
+  line-height: 40px;
+  color: #555555;
+  text-align: center;
+  text-decoration: none;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+#productMain .sizes a.active,
+#productMain .sizes a:hover {
+  background: var(--primary-accent);
+  color: #fff;
+}
+#productMain .sizes input {
+  display: none;
+}
+#productMain .price {
+  font-size: 40px;
+  text-align: center;
+  margin-top: 40px;
+  margin-bottom: 40px;
+}
+#thumbs a {
+  display: block;
+  border: solid 1px transparent;
+}
+#thumbs a.active {
+  border-color: var(--primary-accent);
+}
+#product-social {
+  text-align: center;
+}
+#product-social h4 {
+  font-weight: 300;
+  margin-bottom: 10px;
+}
+#product-social p {
+  line-height: 26px;
+}
+#product-social p a {
+  margin: 0 10px 0 0;
+  color: #fff;
+  display: inline-block;
+  width: 26px;
+  height: 26px;
+  border-radius: 13px;
+  line-height: 26px;
+  font-size: 15px;
+  text-align: center;
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+  vertical-align: bottom;
+}
+#product-social p a i {
+  vertical-align: bottom;
+  line-height: 26px;
+}
+#product-social p a.facebook {
+  background-color: #4460ae;
+}
+#product-social p a.gplus {
+  background-color: #c21f25;
+}
+#product-social p a.twitter {
+  background-color: #3cf;
+}
+#product-social p a.instagram {
+  background-color: #cd4378;
+}
+#product-social p a.email {
+  background-color: #4a7f45;
+}
+@media (max-width: 991px) {
+  #product-social {
+    text-align: center;
+  }
+}
+#checkout .nav {
+  margin-bottom: 20px;
+  border-bottom: solid 1px var(--primary-accent);
+}
+#checkout .nav li {
+  height: 100%;
+}
+#checkout .nav li a {
+  display: block;
+  height: 100%;
+}
+#order-summary table {
+  margin-top: 20px;
+}
+#order-summary table td {
+  color: #999999;
+}
+#order-summary table tr.total td,
+#order-summary table tr.total th {
+  font-size: 18px;
+  color: #555555;
+  font-weight: 700;
+}
+#checkout .table tbody tr td,
+#basket .table tbody tr td,
+#customer-order .table tbody tr td {
+  vertical-align: middle;
+}
+#checkout .table tbody tr td input,
+#basket .table tbody tr td input,
+#customer-order .table tbody tr td input {
+  width: 50px;
+  text-align: right;
+}
+#checkout .table tbody tr td img,
+#basket .table tbody tr td img,
+#customer-order .table tbody tr td img {
+  width: 50px;
+}
+#checkout .table tfoot,
+#basket .table tfoot,
+#customer-order .table tfoot {
+  font-size: 18px;
+}
+.shipping-method h4,
+.payment-method h4 {
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#customer-orders table tr th,
+#customer-orders table tr td {
+  vertical-align: baseline;
+}
+#customer-order .table tfoot th {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-order .addresses {
+  text-align: right;
+  margin-bottom: 30px;
+}
+#customer-order .addresses p {
+  font-size: 18px;
+  font-weight: 300;
+}
+#customer-account {
+  margin-bottom: 30px;
+}
+#get-it {
+  background: var(--primary-accent);
+  padding: 50px 0 30px;
+  color: #fff;
+  text-align: center;
+}
+#get-it h1,
+#get-it h2,
+#get-it h3,
+#get-it h4,
+#get-it h5,
+#get-it h6 {
+  color: #fff;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  margin: 0 0 20px;
+}
+#get-it p {
+  margin: 0 0 20px;
+}
+#footer {
+  background: #555555;
+  padding: 50px 0;
+  color: #999999;
+}
+#footer h1,
+#footer h2,
+#footer h3,
+#footer h4,
+#footer h5,
+#footer h6 {
+  color: #eeeeee;
+}
+#footer h4 {
+  font-size: 14px;
+  font-weight: 800;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+#footer ul {
+  padding-left: 0;
+  list-style: none;
+}
+#footer ul a {
+  color: #999999;
+}
+#footer ul a:hover {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+#footer .photostream div {
+  float: left;
+  display: block;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 33%;
+  padding: 7.5px;
+  overflow: hidden;
+}
+#footer .photostream div a {
+  border: solid 1 px #eeeeee;
+}
+#footer .photostream div img {
+  -webkit-transition: all 0.2s ease-out;
+  -moz-transition: all 0.2s ease-out;
+  transition: all 0.2s ease-out;
+}
+#footer .photostream div:hover img {
+  -webkit-transform: scale(1.1, 1.1);
+  -ms-transform: scale(1.1, 1.1);
+  -o-transform: scale(1.1, 1.1);
+  transform: scale(1.1, 1.1);
+}
+#footer .blog-entries .item {
+  clear: both;
+  padding: 5px 0;
+  margin-bottom: 10px;
+  border-bottom: solid 1px #555555;
+}
+#footer .blog-entries .item .image {
+  float: left;
+  width: 15%;
+  margin-right: 10px;
+}
+#footer .blog-entries .item .name {
+  width: 75%;
+  margin-left: 10px;
+  display: table-cell;
+  vertical-align: middle;
+}
+#footer .blog-entries .item .name h5 {
+  margin: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-size: 12px;
+}
+#footer .blog-entries .item .name h5 a {
+  color: #eeeeee;
+}
+#footer .blog-entries .item .text {
+  width: 100%;
+  clear: both;
+}
+#footer .blog-entries .item:last-child {
+  border-bottom: none;
+  margin-bottom: 0;
+}
+#footer .social a {
+  color: #555555;
+  font-size: 25px;
+  margin: 0 10px 0 0;
+}
+#footer .social a:hover {
+  color: var(--primary-accent);
+}
+#copyright {
+  background: #333;
+  color: #ccc;
+  padding: 50px 0;
+  font-size: 12px;
+  line-height: 28px;
+}
+#copyright p {
+  margin: 0;
+}
+@media (max-width: 991px) {
+  #copyright p {
+    float: none !important;
+    text-align: center;
+    margin-bottom: 10px;
+  }
+}
+[data-animate] {
+  opacity: 0;
+  filter: alpha(opacity=0);
+}
+#style-switch-button {
+  position: fixed;
+  top: 100px;
+  left: 0px;
+  border-radius: 0;
+}
+#style-switch {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  width: 300px;
+  padding: 20px;
+  position: fixed;
+  top: 140px;
+  left: 0;
+  background: #fff;
+  border: solid 1px #eeeeee;
+}
+@media (max-width: 991px) {
+  #style-switch-button {
+    display: none;
+  }
+  #style-switch {
+    display: none;
+  }
+}
+/* Original Boostrap template overwrite */
+/* breadcrumbs */
+.breadcrumb {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  text-transform: uppercase;
+  background-color: none;
+  letter-spacing: 0.08em;
+}
+/* nav */
+.nav > li > a {
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #999999;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #999999;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: var(--primary-accent);
+}
+.nav-tabs {
+  border-bottom: 1px solid var(--primary-accent);
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 0 0 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee var(--primary-accent);
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-bottom-color: transparent;
+  cursor: default;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 0;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+  border-bottom: solid 1px var(--primary-accent);
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  text-align: center;
+  /*margin-bottom: 5px;*/
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 0;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid var(--primary-accent);
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid var(--primary-accent);
+    border-radius: 0 0 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #ffffff;
+  }
+}
+.tab-content {
+  padding: 15px;
+  border: solid 1px #ddd;
+  border-top: none;
+}
+/* navbar */
+.navbar {
+  position: relative;
+  min-height: 62px;
+  margin-bottom: 0;
+  border-bottom: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 0px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  overflow-x: visible;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-left: 0;
+    padding-right: 0;
+  }
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-affixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-affixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  -webkit-transform: translate3d(0, 0, 0);
+  transform: translate3d(0, 0, 0);
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.navbar-brand {
+  float: left;
+  padding: 10px 15px;
+  font-size: 18px;
+  line-height: 20px;
+  height: 62px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand img {
+  max-height: 42px;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  margin-right: 15px;
+  padding: 9px 10px;
+  margin-top: 14px;
+  margin-bottom: 14px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 0;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-nav {
+  margin: 10.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 21px;
+    padding-bottom: 21px;
+  }
+  .navbar-nav.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+  }
+}
+.navbar-form {
+  margin-left: -15px;
+  margin-right: -15px;
+  padding: 10px 15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    border: 0;
+    margin-left: 0;
+    margin-right: 0;
+    padding-top: 0;
+    padding-bottom: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-form.navbar-right:last-child {
+    margin-right: -15px;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 16px;
+  margin-bottom: 16px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+.navbar-text {
+  margin-top: 21px;
+  margin-bottom: 21px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-left: 15px;
+    margin-right: 15px;
+  }
+  .navbar-text.navbar-right:last-child {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #ffffff;
+  border-color: #cccccc;
+  border-bottom: none;
+}
+.navbar-default .navbar-brand {
+  color: #555555;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #3b3b3b;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #555555;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #555555;
+  background-color: var(--navbar-focus);
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #cccccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-toggle {
+  border-color: #dddddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: var(--primary-accent);
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #cccccc;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  background-color: var(--primary-accent);
+  color: #ffffff;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #555555;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #ffffff;
+    background-color: var(--primary-accent);
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #cccccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-link {
+  color: #555555;
+}
+.navbar-default .navbar-link:hover {
+  color: #555555;
+}
+.navbar-default .btn-link {
+  color: #555555;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #555555;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #cccccc;
+}
+/* scaffolding */
+body {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+a {
+  color: var(--primary-accent);
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: var(--link-focus);
+  text-decoration: underline;
+}
+a:focus {
+  outline: thin dotted;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.img-rounded {
+  border-radius: 0;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+/* breadcrumbs */
+.breadcrumb {
+  padding: 20px 0;
+  margin-bottom: 20px;
+  background-color: transparent;
+  border-radius: 0;
+  text-align: right;
+}
+.breadcrumb > li + li:before {
+  content: ">\00a0";
+  color: #555555;
+}
+.breadcrumb > .active {
+  color: #999999;
+}
+@media (max-width: 991px) {
+  .breadcrumb {
+    padding: 20px 0;
+    text-align: center;
+  }
+}
+/* dropdowns */
+.dropdown-menu {
+  z-index: 1000;
+  font-size: 14px;
+  background-color: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 0;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  padding: 5px 20px;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+/* labels */
+.label {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: normal;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+}
+/* forms.less */
+label {
+  font-weight: normal;
+}
+.form-control {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  border-radius: 0;
+}
+.form-control:focus {
+  border-color: var(--primary-accent);
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px var(--form-shadow);
+}
+.form-group {
+  margin-bottom: 20px;
+}
+/* pager*/
+.pager {
+  margin: 20px 0;
+  border-top: solid 1px #eeeeee;
+  padding-top: 20px;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  background-color: #ffffff;
+  border: 1px solid var(--primary-accent);
+  border-radius: 0;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #ddd;
+}
+/* pagination */
+.pagination {
+  margin: 20px 0;
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  border-radius: 0;
+}
+.pagination > li > a,
+.pagination > li > span {
+  padding: 6px 12px;
+  line-height: 1.42857143;
+  text-decoration: none;
+  color: var(--primary-accent);
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  color: var(--primary-accent);
+  background-color: var(--pagination-bg);
+  border-color: #dddddd;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 2;
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #999999;
+  background-color: #ffffff;
+  border-color: #dddddd;
+}
+/* responsive utilities */
+@media (max-width: 767px) {
+  .text-center-xs {
+    text-align: center !important;
+  }
+  .text-center-xs img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .text-center-sm {
+    text-align: center !important;
+  }
+  .text-center-sm img {
+    display: block;
+    margin-left: auto;
+    margin-right: auto;
+  }
+}
+/* type */
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: "Roboto", Helvetica, Arial, sans-serif;
+  font-weight: 900;
+  line-height: 1.1;
+  color: #333333;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 20px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 18px;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+.text-small {
+  font-size: 12px;
+}
+.text-large {
+  font-size: 18px;
+}
+.text-italic {
+  font-style: italic;
+}
+.text-primary {
+  color: var(--primary-accent);
+}
+a.text-primary:hover {
+  color: var(--link-hover-bg);
+}
+.bg-primary {
+  color: #fff;
+  background-color: var(--primary-accent);
+}
+a.bg-primary:hover {
+  background-color: var(--link-hover-bg);
+}
+abbr[title],
+abbr[data-original-title] {
+  border-bottom: 1px dotted #999999;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 14px;
+  border-left: 5px solid var(--primary-accent);
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #999999;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: '\2014 \00A0';
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  border-right: 5px solid var(--primary-accent);
+}
+address {
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #ffffff;
+  border: 1px solid transparent;
+  border-radius: 0;
+  -webkit-box-shadow: 0 0 0;
+  box-shadow: 0 0 0;
+}
+.panel-heading {
+  border-top-right-radius: 0;
+  border-top-left-radius: 0;
+  text-transform: uppercase;
+  letter-spacing: 0.08em;
+  padding: 15px 15px;
+}
+.progress {
+  overflow: hidden;
+  height: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-radius: 0;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 0;
+  overflow: hidden;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group.accordion .panel {
+  border-color: #ccc;
+}
+.panel-primary {
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading {
+  color: #ffffff;
+  background-color: var(--primary-accent);
+  border-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: var(--primary-accent);
+}
+.panel-primary > .panel-heading .badge {
+  color: var(--primary-accent);
+  background-color: #ffffff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: var(--primary-accent);
+}
+.panel-primary .panel-title {
+  font-weight: 300;
+}
+.panel-primary .panel-title a:hover {
+  color: #fff;
+  text-decoration: none;
+}
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+                          <p><strong>I have worked with multiple customers on their data journey. Here are some of the public stories that I have co-authored with them.</strong></p>
+<hr>
+<hr>
+<h2 id="audantic">Audantic</h2>
+<p>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code. <a href="https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html">We were able to achieve a 73% reduction in the time it took our pipeline to run as well as saving 21% on the cost of the run.</a></p>
+<p>Ref: <a href="https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html">https://www.databricks.com/blog/2022/05/05/how-audantic-uses-databricks-delta-live-tables-to-increase-productivity-for-real-estate-market-segments.html</a></p>
+<hr>
+<hr>
+<h2 id="arc-resources">Arc Resources</h2>
+<p><a href="https://www.databricks.com/blog/2022/05/24/arc-uses-a-lakehouse-architecture-for-real-time-data-insights-that-optimize-drilling-performance-and-lower-carbon-emissions.html">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures</a>.
+In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+<p>Ref: <a href="https://www.databricks.com/blog/2022/05/24/arc-uses-a-lakehouse-architecture-for-real-time-data-insights-that-optimize-drilling-performance-and-lower-carbon-emissions.html">https://www.databricks.com/blog/2022/05/24/arc-uses-a-lakehouse-architecture-for-real-time-data-insights-that-optimize-drilling-performance-and-lower-carbon-emissions.html</a></p>
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+                <h1>FAQ</h1>
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+                          <p>Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.</p>
+<h2 id="1-what-to-do-if-i-have-still-not-received-the-order">1. WHAT TO DO IF I HAVE STILL NOT RECEIVED THE ORDER?</h2>
+<p>Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.</p>
+<ul>
+<li>Lorem ipsum dolor sit amet, consectetuer adipiscing elit.</li>
+<li>Aliquam tincidunt mauris eu risus.</li>
+<li>Vestibulum auctor dapibus neque.</li>
+</ul>
+<h2 id="2-what-are-the-postal-rates">2. WHAT ARE THE POSTAL RATES?</h2>
+<p>Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven&rsquo;t heard of them accusamus labore sustainable VHS.</p>
+<h2 id="3-do-you-send-overseas">3. DO YOU SEND OVERSEAS?</h2>
+<p>Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven&rsquo;t heard of them accusamus labore sustainable VHS.</p>
+<h2 id="4-why-are-you-more-expensive-than-others">4. WHY ARE YOU MORE EXPENSIVE THAN OTHERS?</h2>
+<p>Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.</p>
+<ul>
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+<li>Aliquam tincidunt mauris eu risus.</li>
+<li>Vestibulum auctor dapibus neque.</li>
+</ul>
+<h2 id="5-another-important-question">5. ANOTHER IMPORTANT QUESTION</h2>
+<p>Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.</p>
+<ul>
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+<li>Aliquam tincidunt mauris eu risus.</li>
+<li>Vestibulum auctor dapibus neque.</li>
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diff --git a/public/images/about/about-content-svg.svg b/public/images/about/about-content-svg.svg
new file mode 100755
index 000000000..ac66d61ed
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+++ b/public/images/about/about-content-svg.svg
@@ -0,0 +1,11 @@
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oPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff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AxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%2FnAVHR0VAZAVHR0V%2FnAVHQJYHRUBkBUdHRX%2BcBUdHRUBkBUdHRX%2BcBUdMgGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHf29AZAVHR0V%2FnAVHR0CbQGQFR0dFf5wFR0dAAAJAAAAAARMBEwADwAfAC8APwBPAF8AbwB%2FAI8AdgCyDQAAK7E8bDMzsATNsTRkMjKwHS%2BxTHwzM7AUzbFEdDIysC0vsVyMMzOwJM2xVIQyMgGwkC%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%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qGQEsZGTIyMjIZAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9mgGQZGRkZGRkZGQA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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU5OyIgZD0iTTAgMjc1djY1MHEwIDMxIDIyIDUzdDUzIDIyaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzek05MDAgNjAwbDMwMCAzMDB2LTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDYwOyIgZD0iTTAgNDR2MTAxMnEwIDE4IDEzIDMxdDMxIDEzaDExMTJxMTkgMCAzMS41IC0xM3QxMi41IC0zMXYtMTAxMnEwIC0xOCAtMTIuNSAtMzF0LTMxLjUgLTEzaC0xMTEycS0xOCAwIC0zMSAxM3QtMTMgMzF6TTEwMCAyNjNsMjQ3IDE4MmwyOTggLTEzMWwtNzQgMTU2bDI5MyAzMThsMjM2IC0yODh2NTAwaC0xMDAwdi03Mzd6TTIwOCA3NTBxMCA1NiAzOSA5NXQ5NSAzOXQ5NSAtMzl0MzkgLTk1dC0zOSAtOTV0LTk1IC0zOXQtOTUgMzl0LTM5IDk1eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTQ0OyIgZD0iTTU3IDM1M3EwIC05NSA2NiAtMTU5bDE0MSAtMTQycTY4IC02NiAxNTkgLTY2cTkzIDAgMTU5IDY2bDI4MyAyODNxNjYgNjYgNjYgMTU5dC02NiAxNTlsLTE0MSAxNDFxLTggOSAtMTkgMTdsLTEwNSAtMTA1bDIxMiAtMjEybC0zODkgLTM4OWwtMjQ3IDI0OGw5NSA5NWwtMTggMThxLTQ2IDQ1IC03NSAxMDFsLTU1IC01NXEtNjYgLTY2IC02NiAtMTU5ek0yNjkgNzA2cTAgLTkzIDY2IC0xNTlsMTQxIC0xNDFxNyAtNyAxOSAtMTdsMTA1IDEwNSBsLTIxMiAyMTJsMzg5IDM4OWwyNDcgLTI0N2wtOTUgLTk2bDE4IC0xN3E0NyAtNDkgNzcgLTEwMGwyOSAyOXEzNSAzNSA2Mi41IDg4dDI3LjUgOTZxMCA5MyAtNjYgMTU5bC0xNDEgMTQxcS02NiA2NiAtMTU5IDY2cS05NSAwIC0xNTkgLTY2bC0yODMgLTI4M3EtNjYgLTY0IC02NiAtMTU5eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxNDU7IiBkPSJNMjAwIDEwMHY5NTNxMCAyMSAzMCA0NnQ4MSA0OHQxMjkgMzh0MTYzIDE1dDE2MiAtMTV0MTI3IC0zOHQ3OSAtNDh0MjkgLTQ2di05NTNxMCAtNDEgLTI5LjUgLTcwLjV0LTcwLjUgLTI5LjVoLTYwMHEtNDEgMCAtNzAuNSAyOS41dC0yOS41IDcwLjV6TTMwMCAzMDBoNjAwdjcwMGgtNjAwdi03MDB6TTQ5NiAxNTBxMCAtNDMgMzAuNSAtNzMuNXQ3My41IC0zMC41dDczLjUgMzAuNXQzMC41IDczLjV0LTMwLjUgNzMuNXQtNzMuNSAzMC41IHQtNzMuNSAtMzAuNXQtMzAuNSAtNzMuNXoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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+.main-container {
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+<div class="container-fluid main-container">
+
+
+
+
+<div id="prosper-loan" class="section level1">
+<h1>PROSPER LOAN</h1>
+</div>
+<div id="by-may-chu" class="section level1">
+<h1>by MAY CHU</h1>
+<p>========================================================</p>
+</div>
+<div id="abstract" class="section level1">
+<h1>ABSTRACT</h1>
+<p>This project aims to use Exploratory Data Analysis (EDA) to explore the Prosper Loan dataset which includes over 113937 listings of Prosper borrowers.</p>
+<p>Prosper is one of the leading online Peer-to-peer lending platform that connects potential borrowers with potential lenders, filters candidates on both sides of the equation, and sets some rules. Peer-to-peer lending is the new trend in recent years, which allows people to seek out a loan from somewhere other than a traditional banking institution. Instead of going to a bank or a credit union, borrowers can get a loan that comes from individuals looking to earn more interest on their money than promised by traditional savings accounts.</p>
+<p>Here how it works:</p>
+<ul>
+<li>Borrowers choose a loan amount, purpose and post a loan listing.</li>
+<li>Investors review loan listings and invest in listings that meet their criteria.</li>
+<li>Once the process is complete, borrowers make fixed monthly payments and investors receive a portion of those payments directly to their Prosper account.</li>
+</ul>
+<p>This project tends to answer 4 questions:</p>
+<ol style="list-style-type: decimal">
+<li>What is the population of Prosper borrowers?</li>
+<li>What factors affect the number of investors to prosper loan?</li>
+<li>What affect borrower rate and APR?</li>
+<li>Loss in charge-off loans?</li>
+</ol>
+</div>
+<div id="univariate-plots-section" class="section level1">
+<h1>Univariate Plots Section</h1>
+<div id="a.-listing-summary" class="section level3">
+<h3>A. Listing summary</h3>
+<div id="i.-loan-term" class="section level4">
+<h4>I. Loan term</h4>
+<pre><code>## Source: local data frame [3 x 2]
+## 
+##    Term     n
+##   (int) (int)
+## 1    12  1614
+## 2    36 87778
+## 3    60 24545</code></pre>
+<pre><code>## [1] 0.7704082</code></pre>
+<p>There are only 3 loan terms in the dataset: 12,36,60 months. Loans with duration of 36 months (3 years) is the most popular with 87,778 observations (account for 77%).</p>
+</div>
+<div id="ii.-loan-original-amount" class="section level4">
+<h4>II. Loan original amount</h4>
+<p><img 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" title alt width="672" /></p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1000    4000    6500    8337   12000   35000</code></pre>
+<pre><code>## [1] 430</code></pre>
+<pre><code>## [1] 867</code></pre>
+<p>75% of the loans smaller than $12000, 50% lie between $4000 to $12000. The maximum loan amount Prosper allows is $35,000. There are 430 loans with the amount of $350,000. Not all loans are fully funded, there are 867 partially funded loans. The status of partial funded loans are as the chart below</p>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAMAAADDuCPrAAABMlBMVEUAAAAAADoAAGYAOjoAOpAAZmYAZpAAZrYAmcw6AAA6ZmY6kJA6kLY6kNtmAABmAGZmtrZmtv9/f39/f5V/f6t/lZV/lat/lcF/q6t/q9aQOgCQkGaQkNuQ29uQ2/+Vf3+Vf5WVf6uVlX+VlZWVlauVlcGVq8GVq9aVwdaVweurf3+rf5Wrf6urlX+rq3+rq5Wrq6urwcGrwdarweur1uur1v+2ZgC225C2///BlX/BlZXBwZXBwevB1sHB1v/B69bB6//Wq3/Wq5XWq6vWwZXW1tbW1uvW1v/W68HW6+vW6//W/9bW/+vW///bkDrbtmbb/7bb///l5eXrwZXr68Hr6+vr6//r/+vr///y8vL/tmb/1qv/1sH/1tb/25D/68H/6+v//7b//9b//9v//+v///8vt91jAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO2d6YIcR3Zee6SRSdgmbRY4pjG21dqoESDZ1gZY8DJmSZRkyyLscZkjDkrDJjGo938FV+6RS3VHR2Tee6Pu+X6QWApxMjIqTmdmLHlzIoQQkpQb7QMghJBSg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISky3Q9693TT77pv79sfr1s+zjIoQQ88kW6LsXI4Hum998+lX+oRFCiO1kC/Tutr30rHPY7Z5Xf7YL/5AQQq4y2QI9hvfr58vR59X/zwZ9mVswIYQYT7ZAD40ymxy7e/c9j0EJIVefbIHun34R/Ka7dT/wFJQQcvXJFei7F5/+rxfduPv7192F53EXerXP/10jKxVTANRRVTm/QG1RhQR6d7sbxt3PAn3e/XEv0F2QTBghhFhKrkCP7fyl+ua9G0NCoIQQD8kVaPew83zx+XIk0MVh+JWurVcppgCoo6pyfoHaogoJtE817r54BYpAC6P6gTqqqh9oqQI9nO/hF5+BItDCqH6gjqrqB1q4QPtR+MVpTCvVbJViCoA6qirnF6gtqoZAw3mgi2s5V6rZKsUUAHVUVc4vUFtUGYEON+376hcPrURaqWarFFMA1FFVOb9AbVFlBNpfar57UT30fGgt/Eo1W6WYAqCOqsr5BWqLKiTQsyqra83u6ecDuzGtVLNViikA6qiqnF+gtqhCAm02UB72UL5/P9CVarZKMQVAHVWV8wvUFlVKoO2W9P0d+7070q9Us1WKKQDqqKqcX6C2qGICfUxWqtkqxRQAdVRVzi9QW9RIpSFQw1BHVeX8ArVFjVQaAjUMdVRVzi9QW9RIpSFQw1BHVeX8ArVFjVQaAjUMdVRVzi9QW9RIpSFQw1BHVeX8ArVFjVQaAjUMdVRVzi9QW9RIpSFQw1BHVeX8ArVFjVQaAjUMdVRVzi9QW9RIpSFQw1BHVeX8ArVFjVQaAjUMdVRVzi9QW9RIpSFQw1BHVeX8ArVFjVQaAjUMdVRVzi9QW9RIpSFQw1BHVeX8ArVFjVSaskA/FEv26cwsoByqH6ijqvqBuhKonD9zDVr0dwGoJSrQIqiRSkOgsacz798XRPUDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oFetUB/MYmkQKfsx2V+7BJRofqBOqqqH+ha1EilcQUa+/Mo798XRPUDdVRVP9CrvgKdHiQCNUj1A3VUVT9QBIpAdal+oI6q6geKQBGoLtUP1FFV/UARKALVpfqBOqqqHygCRaC6VD9QR1X1A0WgCFSX6gfqqKp+oAgUgepS/UAdVdUPFIEiUF2qH6ijqvqBIlAEqkv1A3VUVT9QBIpAdal+oI6q6geKQBGoLtUP1FFV/UARKALVpfqBOqqqHygCRaC6VD9QR1X1A0WgCFSX6gfqqKp+oAgUgepS/UAdVdUPFIEiUF2qH6ijqvqBIlAEqkv1A3VUVT9QBIpAdal+oI6q6geKQBGoLtUP1FFV/UARKALVpfqBOqqqHygCRaC6VD9QR1X1A0WgCFSX6gfqqKp+oAgUgepS/UAdVdUPFIEiUF2qH6ijqvqBIlAEqkv1A3VUVT9QBIpAdal+oI6q6geKQBGoLtUP1FFV/UARKALVpfqBOqqqHygCRaC6VD9QR1X1A0WgCFSX6gfqqKp+oAgUgepS/UAdVdUPFIEiUF2qH6ijqvqBIlAEqkv1A3VUVT9QBIpAdal+oI6q6geKQBGoLtUP1FFV/UARKALVpfqBOqqqHygCRaC6VD9QR1X1A0WgCFSX6gfqqKp+oAgUgepS/UAdVdUPFIEiUF2qH6ijqvqBIlAEqkv1A3VUVT9QBIpAdal+oI6q6geKQBGoLtUP1FFV/UARKALVpfqBOqqqHygCRaC6VD9QR1X1A0WgCFSX6gfqqKp+oAgUgepS/UAdVdUPFIEiUF2qH6ijqvqBIlAEqkv1A3VUVT9QBIpAdal+oI6q6gdapkAPu2ftr467c55d+Nj0IBGoQaofqKOq+oEWKdC7286Z+12dT79CoCvEz9ee8wvUFlVSoO9fdxedh93uee3Tz75BoPnx87Xn/AK1RZUU6KG7a3/3ovJnbdCXCDQ/fr72nF+gtqiCAn334tP/0Aj02N2775cfg04PEoEapPqBOqqqH2iBAt3vXrbC3He37oflp6DTg0SgBql+oI6q6gdankCPZ3k2An3/urvwPO6efoFAs+Pna8/5BWqLKibQdy/OruwF+rz5w7vbXqC7INN/KynQ7IoSQsg4+QLdV9JsBNqNISFQQoiHZAv0WD/2nAt0cRh+epksKdDcC/q8f18Q1Q/UUVX9QAu7hX//ur7UvOcKFIEWRvUDdVRVP9DCBHroht8vPgNFoIVR/UAdVdUPtCyB3t0205Xmo/BMY1ohfr72nF+gtqgyAj0EI0SffRPOA11cyzk9SARqkOoH6qiqfqBFC5SVSOvGz9ee8wvUFlVGoF32rIXfIn6+9pxfoLaoKgJlN6Z14+drz/kFaouqI1D2A101fr72nF+gtqhKAmVH+jXj52vP+QVqixppPt6JFHs68/59QVQ/UEdV9QNFoAhUl+oH6qiqfqAIFIHqUv1AHVXVDxSBIlBdqh+oo6r6gSJQBKpL9QN1VFU/UASKQHWpfqCOquoHikARqC7VD9RRVf1AESgC1aX6gTqqqh8oAkWgulQ/UEdV9QNFoAhUl+oH6qiqfqAIFIHqUv1AHVXVDxSBIlBdqh+oo6r6gSJQBKpL9QN1VFU/UASKQHWpfqCOquoHikARqC7VD9RRVf1AESgC1aX6gTqqqh8oAkWgulQ/UEdV9QNFoAhUl+oH6qiqfqAIFIHqUv1AHVXVDxSBIlBdqh+oo6r6gSJQBKpL9QN1VFU/UASKQHWpfqCOquoHikARqC7VD9RRVf1AESgC1aX6gTqqqh8oAkWgulQ/UEdV9QNFoAhUl+oH6qiqfqAIFIHqUv1AHVXVDxSBIlBdqh+oo6r6gSJQBKpL9QN1VFU/UASKQHWpfqCOquoHikARqC7VD9RRVf1AESgC1aX6gTqqqh8oAkWgulQ/UEdV9QNFoAhUl+oH6qiqfqAIFIHqUv1AHVXVDxSBIlBdqh+oo6r6gSJQBKpL9QN1VFU/UASKQHWpfqCOquoHikARqC7VD9RRVf1AESgC1aX6gTqqqh8oAkWgulQ/UEdV9QNFoAhUl+oH6qiqfqAIFIHqUv1AHVXVDxSBIlBdqh+oo6r6gSJQBKpL9QN1VFU/UASKQHWpfqCOquoHikARqC7VD9RRVf1AESgC1aX6gTqqqh8oAkWgulQ/UEdV9QO9aoH+YhJJgU7Zj8v82CWiQvUDdVRVP9C1qJFK4wo09udR3r8viOoH6qiqfqBXfQU6PUgEapDqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q8UgSJQXaofqKOq+oEiUASqS/UDdVRVP1AEikB1qX6gjqrqB4pAEagu1Q/UUVX9QBEoAtWl+oE6qqofKAJFoLpUP1BHVfUDRaAIVJfqB+qoqn6gCBSB6lL9QB1V1Q/UqkC///jm5ge/eXrzw59N/2a/2+0+/ar73fH8u90zBLpK/HztOb9AbVHXFWilz0agNzefjP7m3YtdneeDTUdCRaClUf1AHVXVD9SkQBt/VgJ9dTM26PvXtSwPu93L6reH2qR3t7vPvkGg+fHztef8ArVFXVOgv/rxzc0Pf/btk7NAK4P+2l8Mf3XcPf2i+v++vm0/X47WV6Jng75EoPnx87Xn/AK1RV1ToG9vbj46nRqBVjfxHw1/tW+fdx7qa85jd+++X34MOj1IBGqQ6gfqqKp+oBYF+uqmGjpqBXq+HJ0PJLUC3Xe37oflp6DTg0SgBql+oI6q6gdqUKBnZVbXnK1Az5eg4T18k/evq0vO5r9Vujt7BFoe1Q/UUVX9QA0K9PuP63GjTqBv5wJth5LO/2sH4+9ue4HugkxLlhRo5AkhhJDYrCHQaupnfevejSFZF6gGkxByfUm4hX81fQZaz52vhBkKdHEYfnqZLGayD8NbeBVo4m1EZgFA7VGBFkFdUaBnZVbXnK1Az9ejH8w/sq8MungFikBzGjGzAKD2qECLoK4p0Lc3lTMbgVZzQj+Zf6QeP1p8BopAcxoxswCg9qhAi6CuKdBm9nwt0Dc3N0uzmJp5TOEovOFpTCrQxEbMLACoPSrQIqirCrRdytlkPompE2g4D3RxLef0IAVVhkCB2qACLYK6qkDrG/clfw437Yfq4rOMlUgq0MRGzCwAqD0q0CKo6wq0V+j08rNbctSMH5WxFl4FmtiImQUAtUcFWgR1bYFeyFmZ1bXm+Uq0vmcvYjcmFWhiI2YWANQeFWgRVCGBVrIMdwAtYT9QFWhiI2YWANQeFWgRVCmBts7s79gL2JFeBZrYiJkFALVHBVoEVU6gj8j0IAVVhkCB2qACLYIaqbTItfDTLE4FRaD3QBMbMbMAoPaoQIugbivQm6XlnAj0HmhiI2YWANQeFWgR1K0FmmTQ6UEKqgyBArVBBVoEdUWBVsvgb5qdmGqZfhT+AQKNgyY2YmYBQO1RgRZBXVOgZ10Or0F6W6tzeU8mBHoRmtiImQUAtUcFWgR1TYG+Gsmy+d2blIGk6UEKqgyBArVBBVoEdUWBtjvSd2l2pF94sQcCvQea2IiZBQC1RwVaBBWBXnSZCjSxETMLAGqPCrQI6ooC/dWPJ7fw1c07An0cNLERMwsAao8KtAjqigKt9lMOB5Fqnc7ejIRA74UmNmJmAUDtUYEWQV1ToN8+6fexq6YxVaPwb0KnItCHoYmNmFkAUHtUoEVQ1xRo/SKPIZ/URmUe6KOgiY2YWQBQe1SgRVBXFWhtzDaVOM+38SkXoAj00Y2YWQBQe1SgRVDXFWi/nrO5k3+bdP2JQB/fiJkFALVHBVoEdW2BrpLpQQqqDIECtUEFWgQ1UmkIVAia2IiZBQC1RwVaBDVSaSkC/f5fPH4GaJPpQQqqDIECtUEFWgQ1UmmRAn07GoZPmEKPQNMaMbMAoPaoQIugrirQVzcINBOa2IiZBQC1RwVaBHVNgQaTmNqJoAj0sdDERswsAKg9KtAiqGsK9FW9evNNu4Qz3Z8I9NGNmFkAUHtUoEVQVxTor34cbh/yJv0OHoE+uhEzCwBqjwq0COqKAv3+43rZ0bdP6tnzZ51yC/94aGIjZhYA1B4VaBHUdQX6yfC/9lYegT4OmtiImQUAtUcFWgR1fYGeLz3r9e/fPkl8KzwCfXwjZhYA1B4VaBHU9QXavRrp2ydMY3o8NLERMwsAao8KtAjqigLtLj3b98gl7UWPQNMaMbMAoPaoQIugrijQbuC93YMp6X2cCDStETMLAGqPCrQI6poC/fZJrc7z/87qbF/pgUAfB01sxMwCgNqjAi2CuqZA66WcHw0rOpnG9HhoYiNmFgDUHhVoEdRVBfqrH9fWbDdVTr4ARaCPbsTMAoDaowItgrqqQE+nt80W9K8S3+XRZnqQgipDoEBtUIEWQY1UGhsqC0ETGzGzAKD2qECLoEYqDYEKQRMbMbMAoPaoQIugRiotbiL96BVyr5jGlABNbMTMAoDaowItghqptCSBMpH+8dDERswsAKg9KtAiqJFKe7xAv/8YgSZAExsxswCg9qhAi6BGKu0Bgb65WQq38I+HJjZiZgFA7VGBFkFdR6DtzM9JkicyTQ9SUGUIFKgNKtAiqOsIdPI6zkx/ItBHN2JmAUDtUYEWQV1JoFUmg0gZmR6koMoQKFAbVKBFUCOVhkCFoImNmFkAUHtUoEVQI5XGRHohaGIjZhYA1B4VaBHUSKUhUCFoYiNmFgDUHhVoEdRIpUUK9Nsn4SgS80AfD01sxMwCgNqjAi2CuqpAJ9NBEejjoYmNmFkAUHtUoEVQ1xTodC4TAn08NLERMwsAao8KtAjqmgJ9leHMUaYHKagyBArUBhVoEdRIpUW+lXMdf55+MYmgyj5UoU4r/MjMz5hA/EAdVdUPdC1qpNIi3wufsQt9mKnlBVXGFShQG1SgRVAjlYZAhaCJjZhZAFB7VKBFUCOVFnkLj0BzoYmNmFkAUHtUoEVQI5UWNYj0Jn0Du3GmBymoMgQK1AYVaBHUSKVFCXS1e/jpQQqqDIECtUEFWgQ1UmlxE+m/fbLONej0IAVVhkCB2qACLYIaqbTIQSQm0udCExsxswCg9qhAi6Ai0IsuU4EmNmJmAUDtUYEWQUWgF12mAk1sxMwCgNqjAi2CuqJA18v0IAVVhkCB2qACLYIaqTQEKgRNbMTMAoDaowItghqpNAQqBE1sxMwCgNqjAi2CGqm0aIFWD0J/8JunN1nTmaYHKagyBArUBhVoEdRIpUUKtBlHqgR6c/NJsj8R6KMbMbMAoPaoQIugRiotTqDtOPxZoK9ucgw6PUhBlSFQoDaoQIugrinQX/345uaHP/v2SfV246zNlacHKagyBArUBhVoEdQ1Bfr2ploL3wi0uolPXhg/PUhBlSFQoDaoQIugrinQV/VK+Fag58vR5IGk6UEKqgyBArVBBVoEdUWBtvuBtgI9X4KyEunx0MRGzCwAqD0q0CKoKwr0+4/rcaNOoG8RaAI0sREzCwBqjwq0CCoCvegyFWhiI2YWANQeFWgR1BUFOrmFf8Uz0ARoYiNmFgDUHhVoEdQVBXpWZnXN2Qr0fD36QaI/EeijGzGzAKD2qECLoK4p0Lc3lTMbgVZzQpNn0k8PUlBlCBSoDSrQIqhrCrSZPV8L9M3NTcbbPaYHKagyBArUBhVoEdRVBTraUjl9IRICfXQjZhYA1B4VaBHUVQVa37jn+xOBProRMwsAao8KtAhqpNKit7NrFZqjTwT6+EbMLACoPSrQIqiRSmNDZSFoYiNmFgDUHhVoEdRIpSFQIWhiI2YWANQeFWgR1EilxQr0TTN36fuPs+7hpwcpqDIECtQGFWgR1EilxY/C1wL99slN+jR6BPr4RswsAKg9KtAiqJFKi95QudkE9G01kJRu0OlBCqoMgQK1QQVaBHVNgb6p3+bR/5qVSAnQxEbMLACoPSrQIqiRSovcTCR48nm+i2ct/OOhiY2YWQBQe1SgRVAjlRa5nV34Eo837MaUAE1sxMwCgNqjAi2CGqm0R+wH2oX9QFOgiY2YWQBQe1SgRVAjlYZAhaCJjZhZAFB7VKBFUCOVFvkMNLxpZ0PlFGhiI2YWANQeFWgR1EilxY7CDw9B3/Ja4xRoYiNmFgDUHhVoEdRIpUUJtJpH385jqn6ZvhhpepCCKkOgQG1QgRZBXVOgzfz5PsnTQBHooxsxswCg9qhAi6CuKtB6CWebfkp9QqYHKagyBArUBhVoEdRIpUXvxtRuSp+jTwT6+EbMLACoPSrQIqiRSmM7OyFoYiNmFgDUHhVoEdRIpcW91jhvH/oh04MUVBkCBWqDCrQIaqTSEuaBZmR6kIIqQ6BAbVCBFkGNVFrkSqSMPUDDTA9SUGUIFKgNKtAiqJFK4wpUCJrYiJkFALVHBVoENVJpUc9A3+bM/QwzPUhBlSFQoDaoQIugRiotbhT+2yf3XIMeduc86353HP0OgWY2YmYBQO1RgRZBXVGg7RTQIeGg/LsXuzpPv6h/u29+9+lXCHQMTWzEzAKA2qMCLYIqJND3r2t13t3uPvvmVF+NPh9+h0CzGzGzAKD2qECLoAoJ9Nheep6d+bK+HH0+/A6BIlDTUEdV9QM1KND7sm+vNc9Xos8qnbb37vvlx6DTgxRUGQIFaoMKtAiqmECfBb/odHq+lV98Cjo9SEGVIVCgNqhAi6AKCbRLffPeXIZW6e7sEWhmI2YWANQeFWgR1LUF2m6q/ObCdKbamGeBPm9+e3fbC3QXZPqvBFX2oQo19uwSQkpMpECbcaRKoMtz6s8XoOeb924MCYHOoYSQ60ucQIfNQF8t7kh/Nmf1zDMU6OIw/PQyWVBl3MIDtUEFWgR1TYH+6sc3Nz/82bdPqt2UXy28E+kszvqCc/EKFIHmNGJmAUDtUYEWQV1ToM2LOBuBjl/R2fmzud5cfAaKQHMaMbMAoPaoQIugrinQ5k3wrUBnezOdb9dbW4aj8ExjGkMTGzGzAKD2qECLoK4o0LMyq2vOVqDnS9DRPfzgz9E80MW1nNODFFQZAgVqgwq0COqKAv3+43rcqBPo25FAz/4cLjZZiXQRmtiImQUAtUcFWgRVSKDt+PvwO9bCL0MTGzGzAKD2qECLoK4o0Mkt/KvwGehhvOSI3ZguQRMbMbMAoPaoQIugrijQszKra85WoKM3JHW7gfa7KLMf6AVoYiNmFgDUHhVoEdQ1Bfr2pnJmI9BqTugwk/58rTkWKDvSX4AmNmJmAUDtUYEWQV1ToM3s+Vqgb25uMt4wNz1IQZUhUKA2qECLoK4q0NGWyrOFSAg0AprYiJkFALVHBVoEdVWB1jfu+f5EoI9uxMwCgNqjAi2CGqm06O3sWoXm6BOBPr4RMwsAao8KtAhqpNLW2lA5LtODFFQZAgVqgwq0CGqk0hCoEDSxETMLAGqPCrQIaqTSHhbot0+qW/ePHvxcTKYHKagyBArUBhVoEdRIpT0k0H70qFmFlJnpQQqqDIECtUEFWgQ1UmkPCfRVP/q+hkGnBymoMgQK1AYVaBHUSKU9INC3N/UipHoiaPr8+T7TgxRUGQIFaoMKtAhqpNIeEOirbt3m+VZ+hUvQ6UEKqgyBArVBBVoENVJp9ws02H3+wus4H5fpQQqqDIECtUEFWgQ1Umn3CzTYeenbJyuMxE8PUlBlCBSoDSrQIqiRSosW6GgXu9RMD1JQZQgUqA0q0CKokUpDoELQxEbMLACoPSrQIqiRSkOgQtDERswsAKg9KtAiqJFKQ6BC0MRGzCwAqD0q0CKokUpDoELQxEbMLACoPSrQIqiRSkOgQtDERswsAKg9KtAiqJFKQ6BC0MRGzCwAqD0q0CKokUp7UKBLSd5VeXqQgipDoEBtUIEWQUWgF12mAk1sxMwCgNqjAi2CikAvukwFmtiImQUAtUcFWgR1FYGunelBCqoMgQK1QQVaBDVSaQhUCJrYiJkFALVHBVoENVJpCFQImtiImQUAtUcFWgQ1UmkIVAia2IiZBQC1RwVaBDVSaQhUCJrYiJkFALVHBVoENVJpCFQImtiImQUAtUcFWgQ1UmkIVAia2IiZBQC1RwVaBDVSaQhUCJrYiJkFALVHBVoENVJpCFQImtiImQUAtUcFWgQ1UmkIVAia2IiZBQC1RwVaBDVSaQhUCJrYiJkFALVHBVoENVJpCFQImtiImQUAtUcFWgQ1UmkIVAia2IiZBQC1RwVaBDVSaQhUCJrYiJkFALVHLRRaSp9BoJu3iwo0sREzCwBqj1om1F2niVQaAhWCJjZiZgFA7VHLhLrrNJFKQ6BC0MRGzCwAqD1qmVB3nSZSaQhUCJrYiJkFALVHLRPqrtNEKg2BCkETGzGzAKD2qGVC3XWaSKUhUCFoYiNmFgDUHrVMqLtOE6k0BCoETWzEzAKA2qOWCXXXaSKVhkCFoImNmFkAUHvUMqHuOk2k0hCoEDSxETMLAGqPWibUXaeJVBoCFYImNmJmAUDtUcuEuus0kUpDoELQxEbMLACoPWqZUHedJlJpCFQImtiImQUAtUctE+qu00QqTVagv5hEsFU+VKFOK/zIzM+YQPxAHVU1G+qu00QqjStQIWjiT8HMAoDao5YJdU0YoHgAACAASURBVNdpIpWGQIWgiY2YWQBQe9Qyoe46TaTSEKgQNLERMwsAao9aJtRdp4lUGgIVgiY2YmYBQO1Ry4S66zSRSkOgQtDERswsAKg9aplQd50mUmkIVAia2IiZBQC1Ry0T6q7TRCoNgQpBExsxswCg9qhlQt11mkilIVAhaGIjZhYA1B61TKi7ThOpNAQqBE1sxMwCgNqjlgl112kilYZAhaCJjZhZAFB71DKh7jpNpNIQqBA0sREzCwBqj1om1F2niVQaAhWCJjZiZgFA7VHLhLrrNJFKQ6BC0MRGzCwAqD1qmVB3nSZSaQhUCJrYiJkFALVHLRPqrtNEKg2BCkETGzGzAKD2qGVC3XWaSKUhUCFoYiNmFgDUHrVMqLtOE6k0BCoETWzEzAKA2qOWCXXXaSKVhkCFoImNmFkAUHvUMqHuOk2k0hCoEDSxETMLAGqPWibUXaeJVBoCFYImNmJmAUDtUcuEuus0kUpDoELQxEbMLACoPWqZUHedJlJpCFQImtiImQUAtUctE+qu00QqDYEKQRMbMbMAoPaoZULddZpIpSFQIWhiI2YWANQetUyou04TqTQEKgRNbMTMAoDao5YJdddpIpWGQIWgiY2YWQBQe9Qyoe46TaTSEKgQNLERMwsAao9aJtRdp4lUGgIVgiY2YmYBQO1Ry4S66zSRSkOgQtDERswsAKg9aplQd50mUmkIVAia2IiZBQC1Ry0T6q7TRCoNgQpBExsxswCg9qhlQt11mkilIVAhaGIjZhYA1B61TKi7ThOpNAQqBE1sxMwCgNqjlgl112kilYZAhaCJjZhZAFB71DKh7jpNpNIQqBA0sREzCwBqj1om1F2niVQaAhWCJjZiZgFA7VHLhLrrNJFKQ6BC0MRGzCwAqD1qmVB3nSZSaQhUCJrYiJkFALVHLRPqrtNEKg2BCkETGzGzAKD2qGVC3XWaSKUhUCFoYiNmFgDUHrVMqLtOE6k0BCoETWzEzAKA2qOWCXXXaSKVhkCFoImNmFkAUHvUMqHuOk2k0hCoEDSxETMLAGqPWibUXaeJVBoCFYImNmJmAUDtUcuEuus0kUpDoELQxEbMLACoPWqZUHedJlJpCFQImtiImQUAtUctE+qu00QqDYEKQRMbMbMAoPaoZULddZpIpSFQIWhiI2YWANQetUyou04TqTQEKgRNbMTMAoDao5YJdddpIpWGQIWgiY2YWQBQe9Qyoe46TaTSEKgQNLERMwsAao9aJtRdp4lU2joCPe6eD78859mFz00PUrBVEChQG9Qyoe46TaT6VhHouxe9QPe7Op9+hUDH0MRGzCwAqD1qmVB3nUZQoGd/dgI91L+6u9199g0C/dDKdwGoJWqZUHedRk6gZ112Au0uRc9/9BKBfmjluwDUErVMqLtOIybQ8037v/r3rUCP3b37fvkx6PQgBVsFgQK1QS0T6q7TSAn0fLH5/P3rVqD77tb9sPwUdHqQgq2CQIHaoJYJdddpxAT6+TenTqDn/7cXnsfd0y8QqJXvAlBL1DKh7jqNlEBbcT4P/19dl/YC3QWZ/kPBVvlQhbrG2SVEP3Sa5awq0GE6EwKdQgkpOXSa5Wwm0MVh+OllsmCrcAsP1Aa1TKi7TqMtUJ6BjqGJjZhZAFB71DKh7jqNhkAXn4Ei0JxGzCwAqD1qmVB3nUZJoP0oPNOYxtDERswsAKg9aplQd51GQ6DhPNDFtZzTgxRsFQQK1Aa1TKi7TqMiUFYiXYQmNmJmAUDtUcuEuus0KgJlLfxFaGIjZhYA1B61TKi7TqMiUHZjughNbMTMAoDao5YJdddpdATKfqCXoImNmFkAUHvUMqHuOo2SQNmR/gI0sREzCwBqj1om1F2niXQf70QSgiY2YmYBQO1Ry4S66zSRSkOgQtDERswsAKg9aplQd50mUmkIVAia2IiZBQC1Ry0T6q7TRCoNgQpBExsxswCg9qhlQt11mkilIVAhaGIjZhYA1B61TKi7ThOpNAQqBE1sxMwCgNqjlgl112kilYZAhaCJjZhZAFB71DKh7jpNpNIQqBA0sREzCwBqj1om1F2niVQaAhWCJjZiZgFA7VHLhLrrNJFKQ6BC0MRGzCwAqD1qmVB3nSZSaQhUCJrYiJkFALVHLRPqrtNEKg2BCkETGzGzAKD2qGVC3XWaSKUhUCFoYiNmFgDUHrVMqLtOE6k0BCoETWzEzAKA2qOWCXXXaSKVhkCFoImNmFkAUHvUMqHuOk2k0hCoEDSxETMLAGqPWibUXaeJVBoCFYImNmJmAUDtUcuEuus0kUpDoELQxEbMLACoPWqZUHedJlJpCFQImtiImQUAtUctE+qu00QqDYEKQRMbMbMAoPaoZULddZpIpSFQIWhiI2YWANQetUyou04TqTQEKgRNbMTMAoDao5YJdddpIpWGQIWgiY2YWQBQe9Qyoe46TaTSEKgQNLERMwsAao9aJtRdp4lUGgIVgiY2YmYBQO1Ry4S66zSRSkOgQtDERswsAKg9aplQd50mUmkIVAia2IiZBQC1Ry0T6q7TRCoNgQpBExsxswCg9qhlQt11mkilIVAhaGIjZhYA1B61TKi7ThOpNAQqBE1sxMwCgNqjlgl112kilYZAhaCJjZhZAFB71DKh7jpNpNIQqBA0sREzCwBqj1om1F2niVQaAhWCJjZiZgFA7VHLhLrrNJFKQ6BC0MRGzCwAqD1qmVB3nSZSaQhUCJrYiJkFALVHLRPqrtNEKg2BCkETGzGzAKD2qGVC3XWaSKUhUCFoYiNmFgDUHrVMqLtOE6k0BCoETWzEzAKA2qOWCXXXaSKVhkCFoImNmFkAUHvUMqHuOk2k0hCoEDSxETMLAGqPWibUXaeJVBoCFYImNmJmAUDtUcuEuus0kUpDoELQxEbMLACoPWqZUHedJlJpCFQImtiImQUAtUctE+qu00QqDYEKQRMbMbMAoPaoZULddZpIpSFQIWhiI2YWANQetUyou04TqTQEKgRNbMTMAoDao5YJdddpIpWGQIWgiY2YWQBQe9Qyoe46TaTSEKgQNLERMwsAao9aJtRdp4lUGgIVgiY2YmYBQO1Ry4S66zSRSpMV6C8mEWyVD1Wo0wo/MvMzJhA/UEdVzYa66zSRSuMKVAia+FMwswCg9qhlQt11mkilIVAhaGIjZhYA1B61TKi7ThOpNAQqBE1sxMwCgNqjlgl112kilYZAhaCJjZhZAFB71DKh7jpNpNIQqBA0sREzCwBqj1om1F2niVQaAhWCJjZiZgFA7VHLhLrrNJFKQ6BC0MRGzCwAqD1qmVB3nSZSaQhUCJrYiJkFALVHLRPqrtNEKg2BCkETGzGzAKD2qGVC3XWaSKUhUCFoYiNmFgDUHrVMqLtOE6k0BCoETWzEzAKA2qOWCXXXaSKVhkCFoImNmFkAUHvUMqHuOk2k0hCoEDSxETMLAGqPWibUXaeJVBoCFYImNmJmAUDtUcuEuus0kUpDoELQxEbMLACoPWqZUHedJlJpCFQImtiImQUAtUctE+qu00QqDYEKQRMbMbMAoPaoZULddZpIpSFQIWhiI2YWANQetUyou04TqTQEKgRNbMTMAoDao5YJdddpIpWGQIWgiY2YWQBQe9Qyoe46TaTSEKgQNLERMwsAao9aJtRdp4lUGgIVgiY2YmYBQO1Ry4S66zSRSkOgQtDERswsAKg9aplQd50mUmkIVAia2IiZBQC1Ry0T6q7TRCoNgQpBExsxswCg9qhlQt11mkilIVAhaGIjZhYA1B61TKi7ThOpNAQqBE1sxMwCgNqjlgl112kilYZAhaCJjZhZAFB71DKh7jpNpNIQqBA0sREzCwBqj1om1F2niVQaAhWCJjZiZgFA7VHLhLrrNJFKQ6BC0MRGzCwAqD1qmVB3nSZSaQhUCJrYiJkFALVHLRPqrtNEKg2BCkETGzGzAKD2qGVC3XWaSKUhUCFoYiNmFgDUHrVMqLtOE6k0BCoETWzEzAKA2qMW5DIVqJFOE6k0BCoETWzEzAKA2qPmQgW/vp47TaTSEKgQNLERMwsAao+KQKOhSUGgWzeLCjSxETMLAGqPikCjoUlBoFs3iwo0sREzCwBqj4pAo6FJQaBbN4sKNLERMwsAao+KQKOhSUGgWzeLCjSxETMLAGqPikCjoUlBoFs3iwo0sREzCwBqj4pAo6FJQaBbN4sKNLERMwvwU9NyqAg0GpoUBLp1s6hAExsx798L1jSzqgg0OjqNqgJNCgLdullUoImNmPfvBWuKQKWgOo2qAk0KAt26WVSgiY2Y9+8Fa4pApaA6jaoCTQoC3bpZVKCJjZj37wVrikCloDqNqgLVfIYfqTQEKgRNSpl9TaOmBVHLbNRrh86+v5FKQ6BC0KSU2dc0aloQtcxGvXYoAo0/QSrQpJTZ1zRqKljX3AMts1GvHYpA40+QCjQpZfY1jZrSqBtX9dqhZgR63J3z7MJfOv4uJKXMvqZRU0eDHHJM9U4jCLUi0P2uzqdfLf6t4rde+7vgqK+p3E2LMdXPrwrU0flVFehht3t+Ot3d7j77ZumvHQtUEEpfu0IojSpGVRTouxeVP2uDvlz6ewQqS1WBXv35pVGvEGpDoMfu3n2//BgUgcpSVaBXf35p1CuE2hDovrt1Pyw/BUWgslQV6NWfXxr1CqEmBPr+dXfhedw9/WLhAwhUlqoCvfrzS6NeIdSKQJ83v7q77QW6CzL9B5InSIWqXFUV6NWfXxr1CqEB9VFZVaDdGFK0QHWaRZCqXVUV6LWfXxr1CqHmBLo4DD+9TE5KkQuYC6L6gTqqqh9oydvZLV6BhlmpZqsUUwDUUVU5v0BtUSOdt/0z0DAr1WyVYgqAOqoq5xeoLWqk8zYbhY+axpRYs1WKKQDqqKqcX6C2qJHO22we6OJazpVqtkoxBUAdVZXzC9QWNVJ5uiuREmu2SjEFQB1VlfML1BY1Unm6a+ETa7ZKMQVAHVWV8wvUFjVSebq7MSXWbJViCoA6qirnF6gtaqTxdPcDTazZKsUUAHVUVc4vUFvUSOHp7kifWLNViikA6qiqnF+gtqiRvtN9J1JizVYppgCoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqDYEahjqqKucXqC1qpNIQqGGoo6pyfoHaokYqTVagq2S38wJ1VFXOL9AiqQjUMNRRVTm/QIukIlDDUEdV5fwCLZKKQA1DHVWV8wu0SCoCNQx1VFXOL9AiqQjUMNRRVTm/QIukIlDDUEdV5fwCLZKKQA1DHVWV8wu0SCoCNQx1VFXOL9AiqQjUMNRRVTm/QIukIlDDUEdV5fwCLZJaoEAJIcRGECghhCQGgRJCSGIQKCGEJAaBEkJIYhAoIYQkBoESQkhiECghhCQGgRJCSGIQKCFks3ytfQAbB4ESQrbKfvdc+xC2DQKNzHffaB8BIenR+f7ud0//9Lo7TpECVbgtOO4+u+4vArnq6Hx/7253L+WpoilRoO9fPxNnfnmLQUm50fn+HndPvxCHyqZEgb57sXt2uvtc9vtw58Sg+91u9+lXQK+LqvL9/brqqZ99c3d7zVehJQr0uy93ux/dSj+d9mHQd397Opy7+E70Gt8PVIlaRfz7W40fHau6SnL/UfqKt0SBnurvoPiPNSWDvn8tfsVyRu7ER0/9QJWowt/fZvzoKNtTj+I/m8oU6Pm74OFneJX6ekX8nu987wX02qii3992/KjqqXLQ6rQKd5ciBXo+T78rbdBaZKJ3Ix325bs/UnhmdgbLDwD4gYpTpb+/zfjR2Z9/LNlpjrvP/t/tTvKqt0iBnt7/vPpCSBr0UH8fDtIGPaoMONQ5f/flveIHKkwV//6240d/8tPqtlqs05ypL9vrUCFmmQKtImrQu9vmy15/LcSop/ev2z6217m5Vbm3dQIVpSp8f4fxI0mDHmpU/ZBZ5udTeQI9n5zm+lzSoIcOJWvQdy9q2F78yU4dlWe+fqCSVI3v7zB+JGjQ+hK0SvPIYvuRuuIEGgyq1Aa9+20Jrxz6phDta+9enH+K1j/KX94JzdsKB/2PUs+S/ECVqBrf32D8SNCg+4Z0d9s88938sqM0gR7C03IQey5+GCh7yeegzbVn/e0/iFxvjwf9DzJV9QNVomp8f0fjR3IGbUb/z/991g7Kb2zQwgTaPMs5n57BoFLfhu5aQXSqWf0wp6nhUYI6GfTvb4iAlkzV+f7eheNHcgbdV7elt20V37/e+ratMIEemu9Bb9B3fyg0kLnvf5Idnv73/yoAnM6f7x/9bpnZoL/EHhR+oErUKuLf3yahQX//77bkPB9++fS/3cpd4hQl0LufHNqvQW9QMXQHfP9aBDybP78X+E7MB/37PwFaLLWO9Pe3i8yVZ3Wv3hm0vmmTm59TkkCrB8Nd64sbtB1TPDeP0KPI4Vbv/ONVZgLfwqD/YfPrXj9QFWozm+iZ6Pc3XAEvdO++Hwx6FJ0hXpJAa4O+HH4tYtDuC9iP60l8HUa3eg1YArsw6P/uxdZfRj9QDeq+H4yW+/52zObiWtyg9WZtYilKoCNryszHGL6A7a8l2mZ6q7eXutpeGPTfb36S/UDlqe1P4mP9PRL6/h56ppJBD5I3p2UJdGzQP9ueN/oCikVj/ny9v+rCoP9hS74zqDi1vuQ9Cf4EDpjDSqttx4/69AY9g+W2uipMoMLPPjW+gCeV+fPTCTX9oP+W79LxC5WhdoP89df37icbgubMU91XRffs6w0q2V1LE6isQTW+gKeTwvz5GUdi0N8xVIjaXObWX9+t72v7HwRBTUXvpU+DQSXNXYZA+5Gck4hB+5fWCX4BR5GeP38atpsQHPT3CRWgBt/fM6a5HuvvrLfJcN0ZLHq6u926z0yer3YG3cstFixCoOFIjoBBh5fWyX0BLx+L1HLp/fADSmp9l0eoAHX4/lZPDtr72Y2/SMNL64JFT5v3mWMrhv50tgY98gw0zHQkZ+vx9+GldXJfwEuRudWrMlwjCT5C8gjdnBq8dHEfXHZsC+07ZbCE7u52459OX3eXVr1F99LvSilAoPORnI3H34OX1sl9AeuEjyokbzDr7OVf0wN0iwTf37NL+xlxG+N7gw53iAJVroXZvsmji2jjFiBQhZGc/qV1gl/A0+RRhdQNZv/EXeRHBNBN88sGMbx0sfoWPZfZBrQ36LDoSWaidnN+m02UxQ1ahEDFR3KGl9YJfgFnjypEbjCbn97VV+78DZT65gHdJsfhIdf4kavInczIoGKPl0c37fLvOy1CoNIjOeFL6+S+gEqTTk/9i8pFX8AEdIN8edt2k/ClizV/8+f3o5fWNVeDQiITf+w5inGBHponHNIjOaOX1sl8AfUmnZ7aS4bP/kF2nAzo+mmfP7p56WIdVYPaFuiwhldwJKeN8DdQ41FFcFdZX2j/aOtRU1/QgCoGHUZwPLx0sY2mQW0LdL97dv5hKjuS00faoOKPKsZ7jja3XTK3ei6gY6oUVMegSi9d7KJoUMsC7fdPlh3J6WcSCb+0TvpRxT4Y8u//ZOsu5wc6p0pAZwa96pcu9tEzqGGBBvsny+9lWIPFXlqn8aiieUwwXta1+ZWvH+gSVebGYmRQobFwrZcu9lEzqGGBdheedYRGciYziaReWqfwqKLtzNU0m8Arh23BfqDL1K2hzfXm2KBX/dLFIVoGNSvQ6rt2bhbZBeizmUQiL60TfVTR7Zpz6LZd+JPwGmmjxXd+oPdTt17b2KpzMOj1vnTxniMQjVWBNteAQnvX/bJjqMwkEn1U0e+as68vGapbr37r8NNWcxX9QB+gbj4VdGZQqWi9tC7I1w9/ZINYFWhzUyvzTRi+1jrb10k+quh3zdk373mquvZ+F+zlvcXdlx/o/VSBt/WIG1TjpXWWYlOgsu8v/rJnKG1fJ/moohslvbv9/Kt2n/Re2v1LGIBuQd0OOuZLGlTjpXWmYlKg0u8v7hnii57ufuuL0QEIJJhn0s7e2/S1PN6gStQRvzWowKWgxkvrbMWkQEc3taIGFV701I+7qxi0/Rnx/rXkRhNXD9Wi9vM9O4MKvHNRbfsGO7Ep0NFNrcTU3E5gwoueqps7PYO2Hfwgsi7cD1SFGn5/5N4hq7h9g5XYE2jzo1T6/cUdT3LRU7uBjaxBw11zztfbL0V2bfQDVaKOvz97KYNqvTPMUMwJNDCZxqMjwUVPzQY2R1mDjnbNkdqz2Q9UiVol+P4cn/6OzLNI/XeGqcecQNUNKrXoqdvA5nyJ0htU4FHFaNecap3M9k8q/ECVqB27X4D06d//jQhS/51h6rEnUH2DyqTfwGYw6PaPKlR2zfEDVaH2m+YND/IFts37rXb0SGOnSUsxKFBpgx66/ZdkDTrawEbq9kdl1xw/UA1qsGle80WSeHdIN9iqtNOkoVgUaGhQsbEGwZWjHbd/TLXfSRlUZdccP1AF6mjTvPYBvkynqb+ykoOuJmNJoLOpbBI3te3+DqJr71twL83DTmrYVGXXHD9QSWqz9HuyaV79DrvNVRZOH3G6AKmPIYHqTGU7tBprrnZl1m/UOd9pdVXcf/o/pLgqu+b4gcpR9+1735e26ts4k+kjUu8MsxlDAtWYynb3+ZfBmtGXMnNOO/Ztf+NVbdkjcxOvsmuOH6gYdb97+qffXNqqb9vMpo+4jr5A25dIV18E8als4aL78PnVpjl2tzztBjbH6r/bzQKZrCRU2TXHD1SI2j0qWN6qb9vMp494jrpA24fgT/+8+o34VLbKoC/7X4vuX3P+7nXPj56fthvFrF5mNipZ5KHVdG/G64XqULsblsWt+jaOyvQRs9EWaLsT//vWlpJT2UbAmikzaarbv6ZdstJ8B9+/3uaruHSVsPWuOcdgXPi6oUrUdtT77vbl0lZ9W0dl+ojZKAt09uhPbirbAGxdvfX7Fur0K94mm0MetulxGndZ7TMZ2XfUqECVqAO5/sKKbpp3vvxUmT5iNroCbX94hhGbytYNuN8Ne4gLdIP+lQ8Vd+BttB+Yhj/bNq0eHchNbVGBKlGbHLvrTdFN86rZMX+vMn3EanQFelz44slMZWvus4K5wEJTgYMrzUO/iHirn+OBP/9SzKN9DQ+CWlGBKlGbVN9a+a366jftqEwfsRpdgU4u+o5yP83OP0o/+3I8F1ikCwRD/e2g1T/+zmZPzA7tveVh6UndVhnGGAS1ogJVotY5f2f/WHzTvO5NOzLTR8qIqkAnjzpF3hnTkSt1dit55fbifB4sVRHYAOzYj1T119ubJ/iheBBbAaQCVaI2uftpfREguWneMOlPYvpIITF1BRrYZeO8e/Gs+Z+kQScPkCQGrfb1YG19Vo9CF0nhq3sPUktUVKBK1JAvu2le8KadzaePlBJtgY76tNzg+7sX/dtt5Qw6foAk8qP7XL/n+7ZnH2W62ejdvVIvy1GBKlGDSP1Q7LIw8XOj6SPFRHsQafRjW0igh2CenpxBJw+QhF71cAzu7vZSl6BDoy5Ms7giqB61+wIrGHTcTRy/Tq6JrkCDDTWqyHwHD6MHglIGHR4gdZMHZb75+/D9pjJf9n2gFbELFBWoCnV4FftJzKCzTZtPm04fKSjqE+nD9j9KNEc9Dzi4F+nmL93d/uu/3Zbbqaz55m15rf3dcE6D20wpgVb1GzZ127Z/93MwJaHDChxRaocJXsUuZNDxps3tt2jD6SMFxcBSzr79qwd22xObCXPDVtqnd5vudTYsUZZbOTwanjr253TbHt6MzHZjc51WNp6ZdhzuJqSh0lVtM3sV+3H3+3+3MXO6abP3q84w2gINltOKTGXvnkSGBt0Sd6vx1btwJjcdteoeTDxvD6Bl7Td9KFOPi7Wv55GEPhvEKUUd6OKvYp9s2oxBw6gLtPnx9nK8s9xmCSgSBq0HjPo1I2JfvdnawsPzrUet2gXS3XVRdQTNngZb/kycTOKWgXYP6rshORlqH/lXsc82bZZ8yZT56Au0n5UrcgcU7F+3vUGP/XYPLVPIoNPVsMfwFmybHLpLz+6UHrZnzm+aJaCH/omMZFX7yL+Kfb5ps+Cu4+ZjQKBthxe6LRgPH236Deyf7w+768oY9N2LapOHwaB/vfkGa9106nAf9sPmuxQdhueQHWpzaH/VG17+bl/VPvKvYtfYtLmcmBCoaEY7gP7Bz7cDHZdmYIoYtBpEkr3P6vpy4zIpcnMFKvtas8FagmsYw+db4q9i19i0uZz4E6jUfXQ4v2Q/XP5JiO3QvuVe0KBtDbtl9zLk2iDt5b3Yu4v7thQTaPtTqb36E38Vu8amzeXEoUBlDBr6c7TGX+ABUnPTJWrQbtuS+sQehK5T6und3YPQo1DXPsqOugdjBC1Y41Xsops2FxUvAj2GF0YSBv16Hy4XFZ5v/Fdao6V/2V0bSb2f7+kX3XupxaBtHft7+elLkVbOMVzB1m0BLvmg5CS8aXNZcSLQ4E1uVYT2DunHOJR+cKvNN5Fa81QNR/+XYXerbaHfjU9lJ9CNV3AGdzLDlFOZW+nhca/ops1lxYdAx29yOwmppTGonj/1DCom0Mopw6SKjTczGJ/KdhLR2WWfb4gdrdQMlj1tmV+2L8YN5mbJbdpcWlwIdOFNbiJT2SqDavpTzaBCy8JPze1sP0VsU+j0mWPzpdr4ce9kpbvIc89j/yB7uGcT27S5uLgQ6IU3uW2fvfp+NXcqL/0SnuHTDepsPQF0IrN6MZCkP2VGyr6sn28185b6WdNibFbeewAAF51JREFUmzaXFhcCnb/JTSp79f2+hFeN7Ju3PMi+GrPq5JtfnE2Xd1WPKbaebhCMRDYZlmRsmHqE4NiYWm4HnELjRKDTN7mJZdoDRHLUeNZ/bN8bInrRXUP3IoPS0+Vd51v4/7j9Vdn0+3OQ+NlUGbQbm8Og9+eKBXrs587JvsmtTj+CKWHQyfiwzIzIyS1tA9160ehyTdv9PLbNdHlXvavr9ne1k++PiEBHK58w6L25XoG21yVP/3y08b3Em9xOoxHM7Q06qVP14Ox/bks8jXbilIOq1LTNbHnXXuap4Pj7IyPQcM8dDHpvrlag7df7/d9Uv5F9k9tkf57NDTp+/CfzkofRTpxib5bQqGmX2fKuu1uZUZXw+7PxnuOjm7b+OQzb192TaxXocfxTU/ZNbv0IpoxBRzfTMlaZbAQkpTKFmg5RW94VfH+2fYdbcNM2Nijb113MlQp09no60Te5HfoRzM6gv7flPVA4Piz2ss/wR4LYFGuFms6iadBtXz4/umlj4/m4XKlA5zO5t3+TW5f+rSHDd3Db5dLj8eHvZH5EjHfiFIGq1HQePYNuO2tqctOGQaNypQKdPOoUed/XMHMuHMEUec+o9PafKjtxnlRqungUOgbd1p/zd4pj0Ihcp0D711g3EVlO2Q9cTkYwtycrbP+pshOnSk2XorC8a7/b+gZqYfktBn041ynQ6RXoaEPOrRIaVGYEcx9uTCnqFZWdOFVquhiFUZXNN4NfumnTP9Pmc7UCHTX85Ip0oywbdLu+1m/PqDA+rLITp+JI+ElpfdeQ7Zf6L9y0Mf7+UK5UoJOLIhmBLht0w0w2CJfwSj9wI7kT5ywiBlVZ33VPNt64WeOm7QpypQIN1h5VmT8gXzntl1vYoMdJrbb3yrAUSHQnztn6UAGDaq560ojKTVv5uVKBTmZZHzfW2fvXw2uLBQ367sXEIpt7JVgKJLYTZzeFd3qBtPnmIXqrnjSic9NWfK5VoKOx4Y0XwLVvPbr7/Btpg87ea7b1+HC4FEhoJ85mWddsDc7mI+Gqq54UIn3TdiW5WoFWBh32od/42//dl7vdj5q9mkODbt7n5lNPNn7qP9oUU2YnzkNj59k2WluPb1hY9SQa2Zu2a8n1CrSZOvdyNLF9uxz6t3wNBt1+BHPzS+s5cLQppsBOnO9fN+J8/1q4Q5tY9SQa0Zu2a8kVC3R4obbArOfRE0G58dqD8E5jS5tibnsE3bYlzapRwQtBG6ueRCN503YtuWaBtr1O4srlDPpdDYNOHlxtHoWlQPvmtB4kd4NpgP5mkovetF1Hrlugcnn/86qLyxtUarWdyqKnGtrscXHoXxUpdWdpZdWTaCRv2q4jCHS9hAYVe4B0FLlYUFn01EOr/GVzbyn4vjrNVU96Ebtpu5Ig0Pz0uwsfVN4gJ/A+IJVFTzNoA5bu3N4MSh4VBJqd4P1HtUHvflt8XeP23pZf9LQAPW0v0PYe9uX4jzAouRAEmpvR+48OwkPFdSTeDym/6GkJurjp2pqpH4gcJk2IQcnFINDMTN5/NO18MhnNb98m4oueFqEb70nU7aCxHz8GVNj/kxQSBJqZ6fuP3v2hzitg96O3DK8f8UVPU2g9JL/xGNKhE+XUoOzqRpaDQLOy8P6j7XO8NNHkrzY8AJWlKQH0GD4p2SjDu0arS3pu28nDQaA5kX//0alfPyk910R60dME+tf77acnDjsQvX/9I27bSUQQaFbE33/U7/IgM/8ziPSiJw3ovpPm+9fP1DdQJiUEgeZF7P1HXbpdiabbu20flVeMyV3XN6ue+h1hnp+vfrmJJw8FgWZG6P1Hfdpxldqfdz/ZnjdCKxhUCNqseqomhFUGrTfDZEdM8nAQaG6EL8yO7auEz8yDtM9kFj3pQJvBwHbPp117ktnRjTwQBJodWYPWV6DN/ftsj+HNI7LoSQfarnqqFyW0vCPDSOShINDEBHOJRA1a3Vi2zz+HWTdikVj0pAMdVj31F54HrkDJQ0GgaRnNJRI16L6fwSS/scZJZNGTDnS26qnbC5+Qy0GgSZnMJZJZLd3sUnKWydNuazedK6StFz3pQEdLrb4+BXOaCLkYBJqS2VwiifH37jq3fRum7lsXtlz0pAMNl1odNFYqkBKDQFOiM5coNKjMpk8XF41eHfQUrnp695/ZlJ3EBYGmRGku0WjPJ4EBJJVFo0orVZWWWpHCg0BTojWXSHrGlMKiUa2VqielpVak7CDQlKjNJZLs4yqLRvVWqp6UllqRooNAkyI8l2h4S4jornkKD3oVV6qelJZakZKDQB+Vbm9y2blEoTXlrpJUHvRqrlQ9KS21IgUHgT4mw2RE2blEoUH3UgZVedCrulL1pLTUipQbBPqInK/+PvsyMOjGc4mC7ZoDgx6f/o7MRZLKg17dlartEbAbPYkNAo1Ps7avv3vfeC5RtzFQAxsMevj07/9mM2ib5pmryoNe5ZWqdVSWWpEig0Dj8+7F5PnnlumucLs7ys6gC6/63YLd3EMrPOjVX6naRGWpFSkuCDQ+7148b/+/vUH7saJjsOfTmTq8tmfLtDJTedArCtVa9USuJQg0Moegp21v0OPwGK66le+uQWUWcJ5GMhNjKkDVVj2RawkCjcthFz4X29qgx1AflUFfdr+QGt7onhgILRrVgSqueiJXEgQalbvbszCbm+g6295gHseeVNl36bpfIVdHddUTuY4g0KgcuneN9Qb9r9vBjtPrTME37KqseVKBaq96IlcRBBqRu580rxwTGoD/ej8Z13j/WmqcQ2XNk85CK/VVT+QagkAfTjChXcagp6lB5V5RrrLmSQWqv+qJXEEQaEQqg7b30DoG3Vygw88IwTVPKtAg+queSPFBoA/k7vNvTpPhI3mDbizQ0aInqTVPKtAudlY9kbKDQO9PdZVyGl0ivXvxBz8XAIcGDV/Xs0Emi55k1jypQAO4pVVPpNwg0AdyUHj3e53AoNvOs5ktepJY86QCHaKy1IpcYRDoA6lngJ5UDXrYdBbTwqKn7dc8qUDDqCy1ItcXBPpQuteDqxn0sOkGlYuLnrZe86QCHUdlqRW5uiDQh9Jdgm5v0K+nf1AbVNCfglt4qK+04hVyZI0g0AfTDzCcu9yWHf3969n0nf2wnd02UVn0pLnSSmvVE7nSINBLOfev5+0vun5292dbAs8XYs+aWVND9hu/YEJl0ZPiSiu1VU/kSoNAL6SZpljJS2pk+Lsvd7sf3U5Ym8+vUVn0pLfSSmvVE7nSINDL6bYAPUp1s8PCeMbswejakV70pAPVXvVErjQI9L7UG5Z/9g9S6/x0XqoruuhJB6q66olccxDoUoa79nqi4I9uRaRy7ua/q23QjRc96UBVVz2Rqw4CXcghfM1D/aZwmUvQ9z+v0KoGldtcWA6qvOqJXHMQ6Dz76YtypmMeW0bXoNsuetKBqq96IlccBDrLoVvkNxhUYLvI8/VQw9M06LaT9nWgBlY9kesNAp2mlWXVxQaDHrYWS/DUoDboMN97k2gsetKBmlj1RK42CHSa1pX73Z8E16B3Gw8jVXex7/7oq/43G18faSx60oGqrnoi1x8EOs2+7mDVxJrj8B7jjaeCToo/bH1/qbHoSQequeqJOAgC7dL15Xr3pWYHkb57131/u7x/3e/r206w+cNtH7mqLHrSWWmlueqJXH8QaJN2XLZ6we3t51+1+9B3W52df7vpBWg7IXE/GfzfMiqLnlSgOkutiJMg0DrVDMGXlUSbztVuQ38QmhNZj1vVq55e3k0v0TaKyqInnZVWOkutiI8g0CrdUEM7I7F9R+P711JdbT8skzmIKEZl0ZPWSiudpVbERRDoKRiqbUcYWoEexMZr69VOzSEcZQyjsuhJa6WVzlIr4iEIdDTVZb/rnka+PEtt+wvQ2XJCyReUq8hM2aCSS62IgyDQ0VTBff8OTpGVKofZqNFeQC8qi550V1rpLLUi1x8EGvrzLM7m+qRbNL1txovuj7vnB2FrSyx6UoSGkVj1RPwFgQZTrTee7jnNeNG94FWv5KInJeh8dtT2q56IwyDQ4QHZ1tM9J5ktuhcZ35Be9KQDXVg2uv2qJ+IwCPTUGVTYn8uL7reO+KInHejSslGBVU/EXVwL9JfB28WeSftzedH91lFY9KQBXVw2KrDqiXiLZ4EGN5Z7SZ/0zPmi+82jsOhJB7q0bJSQteNZoF+qvOG2l+XConshvOiiJyWo0rJR4iyeBTp9R7hEfxs2LakjvOj+pLHoSQWqtmyU+IprgcobdLJpifii+zCSi57koWrLRomr+BaotEEnm5ZILrqfv4NSYNGTCnQIBiVbx7lAZQ063bREcNH9eNGo0KInFWiwahSDkq3jXaCSBp1vWiK2/Gi8aFSIqgIda1tn2SjxE/cCnRj097abj7mwaYnUovvZm5olFj2pQCerRsXWqhKncSzQ7gFdaNANp1ovbloik8U3NV8ldP76P5m1qsRr/Ap0uNO7E1lKqbdpic6iURXofNWoyFpV4jZuBRo+oJMxqNamJUqLRlWgOktVid94FehsKzk5g8r58743NV8XtI/KUlXiN04FOn1Ad+5sEjfVopuW3Pum5quChlFZqkrcxqlAZw/o7v5MhCu4aYnKm5p1Xw9dRWWpKnEbpwLVeUB3Ety0ROVNzZqvh1Z9Px/xGrcC1XhA15BFrotU3tSs+XponffzEe9xKlClB3RVpDYtkX9Ts+LroZXez0fcx6lAqyg8oKsjuGlJgxN6U7Pi66GV3s9HiD+Bdo/G9LaSk9u05CT4pmbF10MrvZ+PEH8C7Z+VST6gm2Rrg6oselJcaaW06okQdwI9DM/K5B7QzbLppiUNQGHRk9pKK71JFcR7nAm0GXhvnpVpPinb/P2QKm9qFofqrnoixJtA2xv2xqBCD+h0ovSmZkmo+qonQlwItHv/+91PuiF3ocXvmtF4U7MoVH/VEyEeBNptEVl1tq57+TCofBXloJqrnghp40GgX3Y7hVQG7e7ufBhUfi2OFFRz1RMhXTwI9HT30+4XgTXPv772i5UrNqjmqidC+ly/QI91l2pfLDYyqMwGTJq5WoNqrnoiZMjVC7Tpar04Hdy5h7lSg2queiIkyLULtOtqGPSaoJqrnggJcuUCHS5V/Bp040VPOlC9VU+EBLlugU5u9VwadPNFTzpQlaVWhExy1QI9jgYVQoMy1lB8VJZaETLONQs08Od34+eg1z/+7iAqS60IGeWKBRr48+5W8u3FRCYqS60ICXO9Ah35c/ejn7a/oMtdT1SmGBAS5HoFeurfihM88+Tx51UFgxLlXLFAO4OOpMnjz6sKBiW6uWaBNgblovOag0GJaq5aoO0LPPDnFQeDEs1ct0Brg+LPq47KUitCmly5QIeRJHKtUVlqRUidaxcoBiWEbJarFygGJYRslesXKAYlhGwUBwLFoISQbeJBoBiUELJJXAj0bNDf/zvtYyCEXF18CJSpLoSQDeJEoIQQsn4QKCGEJAaBEkJIYhAoIYQkBoESQkhiECghhCQGgRJCSGIQKCGEJAaBEkJIYhCot3z75KbKD382/NH3//bShy//zWPyZgp8XJqD+NWPb37tLxb+tv3zS3+deRjff/zQv5h+IuJAyPUEgfrK25s+fTd/dfPRhU9f/ptH5GyUKh+k/vv2IHIFmnYYCJTcGwTqKoE/b25+8Jvdn13Q5OW/SWCmltQdRK5A0w4DgZJ7g0A95dzZO22+6W9ntxbom5zb94cPIlagaYeBQMm9QaCe8ia4ha2ehX5S/UJAoJ9k/PMVBZpwGAiU3BsE6imvuuvPKp1NEeg9QaDk3iBQTxkJ9HwJ+sHwVPST9gPDw9Hhb85O6P7d+R+1unh7cUzmbVBg9dBg+uyxBtd/EfzrkFz97oc/q4r5wb8JD6IT0+izI4EGtj0DBmZwGPPKNP90MkbfHl+gx7Bay58Ij2fpXywd+AR7+awSk0GgnvJm3jdDgb7px5eqHn2vQNvJUAujMr2rao1cEmj777tix+RaoP/75oJAJ58dCXTku+CHxYMC/U9PelB4QD/8P12BfYU7O84+0aY/zvGJWD7wCfbyWSVGg0A9peqggVaqBAIdOnjdge8TaC+Hm+mNcfA3lTguCPSf/Lj946bcCbkS6K/XLvlgdBC1iaafHd/Cvwqu7wKvPSTQIZMD+o2Ppz8wphr/jQsCnZyIxQOfYC+fVWI1CNRVXoWWaNPd9lbdt/9F7YRgBtHEOW9aK1QSGD8jfNXqodJFc7U7e/hYy6j652/bz8zJVSnDo4JwGtPss2OBnsv+qIOMr+K6w7gk0O4S/KOg7Frf3UfqfxUe8ugTfTqBTk/E0oFPsJfPKrEaBOorw2VQP9LRGeptf39/Fkv9t5cF+qqT4nTI5Pz37Uf7Xy0KtL8vrj4zJ7+6CR89hgKdfXYs0P7C8830Uvt+gbaVaJ9xvAkOsPNkezxn/VX/fPaJPoPJxydi6cAn2ItnlZgNAvWWV71CJ5d4Q86SeECgFydVBk9Z37T/ekmgw2DRmN2Rgz+/OJG+/exkFL4V5/gOPjyMZYF+FP5J8JG2osHo29vJc4DpqWgPZOFEzA98jM2dMUsUgkAd5u3oInQq0PrW8gGBvr30oO7V8IfNKP+yQIPLy2BUayAHxVwQaP/ZiUDbW/fZHfz9Ah3/Safx8A96s3VzCMafGB1Y8zB2diLmBx57VonZIFCnqe/lp/NAh5WeDwh0uI4dayr4ZP/RJYF+MP3lhDy94juFAh1/diLQ9tLzzewe+HEC7ZzY/DIc3akv3WefGJ2CM3rpRMwPPPKsErtBoG7zZhgX6cddogUaPEwNO3t4mdiZ5QGBVp+Zke8R6PSz04n09fSl8++m87UeIdDgorKpRMisBTr7xPQULJyIhQOPPKvEbhCop3z7JFRZe5cZjsI3nfvhZ6Dh58O+nnYFOidfFujss1OB1hPoz+VOb4RzrkCnt+nzT4xOweIV6NKBR55VYjcI1FEmoxlvxgJ90w8Kxwm0/eR44GP88DLyGeicfFmgs8/OlnJWq5jmd/C5z0AXB7AWzsjCM9ALlXzEWSVmg0Ad5e3NyAOvRrfwQX9+O7mFD3zWDBQHN6gTtwSDz6/uGYUPFmV+skS+KND5Z2cCPd/D/7v5HfxwGNPKzE1WjfN8En4k+IMms0+M/moyCv9qMm7/9sIt/OWzSswGgTpKP0+9zkSTQ3+uPjYVaGuDroRhmtGkq8fOA/2g+9VIij05QqDdZ2cCPf/FP53fwYcCnVTmnlla3UeGy8f2eGaf6HNhHujigc9n1y6fVWI2CNRT6mHgwR79BPpuCHhYK9ldmw5jGx91/76bcPNBV8zoYi9cgNP/44WVSGEpc/JYoOGa99lnZwKt/2qun/4wZpVZXqnaWvBmWLr6SVu/6sOzT/RZWonU2nF24AvTmJbPKrEaBOoq4Xrs4DKwtsN8t/rub4JpPP/y48mEm6mrZkvAFwX666OtOebkQKDdQQwrkcafnQt0uMKdVP2TyRG2lVl4GNlT/tnHkz8IfuyMP9Hl0lr4pQO/OI1p6ScAsRgE6iszEXRrsj8Kuu8/b5/w9X/T/7OPujHnYSeMyYrJxU2I5qPwb0efmZEDgXYHEV7ZhZ+dCzQcAR8yHMa0MkujOe1nFnZj6k7b7BPD8fbTAe6t5AL28lklRoNAvaXr14PU6m5bXbI1kvhoGEDv/6bp/udePUzaactZWDYz2QZzeRpTzfok+KMROdy4tD2IXkyTz84FWo/Dz44qPIxxZRaHw1tqMEmpuXofLm3nn+j+OHhcek8lF7GXzyoxGQRKpDNe2rhJ+UyiJDJBoEQ6Wwt0thETIVsFgRLpbCzQrf1MyBAESqSzpeFmryEiZMsgUCKdzQXKBSiRCgIl0tlSoNVINyNIRCwIlBBCEoNACSEkMQiUEEISg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISg0AJISQxCJQQQhKDQAkhJDEIlBBCEoNACSEkMQiUEEISg0AJISQx/x84I9eWJIsRTAAAAABJRU5ErkJggg==" title alt width="672" /></p>
+</div>
+<div id="iii.-loan-purpose" class="section level4">
+<h4>III. Loan purpose</h4>
+<p><img 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" title alt width="672" /></p>
+<p>There are 20 loans purpose: 0 - Not Available, 1 - Debt Consolidation, 2 - Home Improvement, 3 - Business, 4 - Personal Loan, 5 - Student Use, 6 - Auto, 7- Other, 8 - Baby&amp;Adoption, 9 - Boat, 10 - Cosmetic Procedure, 11 - Engagement Ring, 12 - Green Loans, 13 - Household Expenses, 14 - Large Purchases, 15 - Medical/Dental, 16 - Motorcycle, 17 - RV, 18 - Taxes, 19 - Vacation, 20 - Wedding Loans</p>
+<p>The most common purpose is for Debt consolidation (50%), about 15% of borrowers don’t specify their purpose.</p>
+</div>
+<div id="iv.-estimated-performance-of-the-loan" class="section level4">
+<h4>IV. Estimated Performance of the loan</h4>
+<div id="prosper-rating" class="section level5">
+<h5>1.Prosper rating</h5>
+<p>The Prosper Rating assigned at the time the listing was created between HR (worst) - AA (best). Applicable for loans originated after July 2009. Prosper Ratings allow potential investors to easily consider a loan application’s level of risk because the rating represents an estimated average annualized loss rate range to the investor.</p>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## Source: local data frame [8 x 2]
+## 
+##   ProsperRating..Alpha.     n
+##                  (fctr) (int)
+## 1                    HR  6935
+## 2                     E  9795
+## 3                     D 14274
+## 4                     C 18345
+## 5                     B 15581
+## 6                     A 14551
+## 7                    AA  5372
+## 8                    NA 29084</code></pre>
+<p>Prosper rating of C is the most count (represent 16%). Only 5000 borrowers have prosper rating of AA (which is the least count). 26% of the dataset (29084 listings) has blank Prosper Rating. As we know that Prosper Rating was just introduced after 2009. Before that, Prosper used the Credit Grade as the reference for borrowers’ credit. The distribution of Credit Grade is shown in the plot below.</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+</div>
+<div id="lenders-yield-estimated-effective-yield-estimated-loss-and-estimated-return" class="section level4">
+<h4>2. Lender’s yield, Estimated Effective Yield, Estimated Loss and Estimated Return</h4>
+<p><img 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" title alt width="672" /></p>
+<p>Lender yield = interest rate - servicing fee Lender yield clusters around 0.05 to 0.3 (5% - 30%)</p>
+<p>Effective yield = borrower interest rate - the servicing fee rate - estimated uncollected interest on charge-offs + estimated collected late fees. Most Effective yield fluctuates around 0.1 to 0.3 (10%-30%)</p>
+<p>Estimated loss is the estimated principal loss on charge-offs. Most of its values get around 0 to 0.2% (0-20%)</p>
+<p>Estimated return = Estimated Effective Yield - Estimated Loss Rate. Estimated return value clusters around 10%</p>
+</div>
+</div>
+<div id="b.-borrowers-information" class="section level3">
+<h3>B. Borrower’s information</h3>
+<div id="i.-borrowers-location" class="section level4">
+<h4>I. Borrower’s location</h4>
+<p><img 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" title alt width="1440" /></p>
+<p>15000 borrowers come from California, which rank it the first place among borrower origin states. States of more than 5000 borrowers include: Georgia, Illinois, Florida, New York and Texas</p>
+</div>
+<div id="ii.-occupation" class="section level4">
+<h4>II. Occupation</h4>
+<p><img 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aBXAxs0ZTPLALOMMMuAyHK+CFmglYGE2wL9QRbo1cAGTdnMMsAsI8wyILKcL0IWaGUg4bZAf5AFejWwQVM2swwwywizDIgs54uQBVoZSLgt0B9kgV4NbNCUzSwDzDLCLAMiy/kiZIFWBhJuC/QHWaBXAxs0ZTPLALOMMMuAyHK+CFmgK7tN7bc/b7za73+9aI3bzeD1xptwN0i4LdAfZIFeDWzQlM0sA8wywiwDIsv5ImSBHhXY21bo7YXrGxfoza+/33IT7gcJtwX6gyzQq4ENmrKZZYBZRphlQGQ5X4SKL9Dfv2w2n/6o/vjx9cYN+vIC3S+3a7dl/ZBwW6A/yAK9GtigKZtZBphlhFkGRJbzRaj0Al3X5rf27/1m83LDVScKdN2gH2MWBxJuC/QHWaBXAxs0ZTPLALOMMMuAyHK+CJVeoCeNdXvTGRSZAv39y+2nYt8FEm4L9AdZoFcDGzRlM8sAs4wwy4DIcr4IFV6gf3wdz5n49rlt09Uf/XTkapHXOM2wPlK97V+YPt9037aK7+p1xomJ8dp4dd8+f/pjuxkOe08LdGzPeJnxe7uHL/ERk+ViJnX8Yy7b5O14xec38RASbgv0B1mgVwMbNGUzywCzjDDLgMjyJV3xuMILdF+ZJ7rT+poJHVXr/Pev7TUymprZVsvR800BPl2gu9U1i1Xt9G/T8xWPFuhumcmm9A8//b0r0O1y+8l1PC7Y5Mnz727iISTcFugPskCvBjZoymaWAWYZYZYBkeXrm2On8AK9O3acdRt9tf1PPUu6rqX12YbNMdqqetbttXm+7bj1crMCPRTjbbTadoZ1XVxff/745/jj5lM4hmWmm1JvbvuwLdDtctUfzTr2m2HTTm3ykeff3cSfm7lb/R/gLAv0B9VfIPJ/KUmSylL47+uxWc/9Ueld82J/muG+m+Ow759/GS13qkBXq3vr1vv2s++6422Yn0TYLzPblOph94ldgY7ldt1ElPc3+djz726iBfoxWaAlSbqLwn9fjxXobddGoxJXrTPqZPUw6mvUzGH6dCx3qkAP/Xhbv/9w0siwQHclvX6Z2absRg/bAj1bV1+UT23y0eff3UQL9GOyQEuSdBeF/74eKdBVy3zpX62KZf+4b8h9G50sd6JANyfujZ7vj/aOtmGkeWe3zPwjtqOHbYGerKuee9EW6PObPH3+/U20QD8mC7QkSXdR+O/r7rBAD0U46uSZNjpZ7kSBbuYbj+rx2QLdHmDulpltyqhP7+YFujsnMFOg39/EQ8gEfwv0B3kS4Wpgg6ZsZhlglhFmGRBZfq/unFZ4gd4fnkS4QIGezzg+UaDnWzZa17Ytz3sLtAYW6NXABk3ZzDLALCPMMiCy/F7dOa3wAj2b7rurCuaopr43hePCAj2ZUJws0PVCp49A7zb92YS5Av3OJh5Cwm2B/iAL9Gpgg6ZsZhlglhFmGRBZfq/unFZ4gZ7eSKW5iNzH50BvZwV6cn/wawr07CMmD8cFuj85MF2g39nEQ0i4LdAfZIFeDWzQlM0sA8wywiwDIsvv1Z3TCi/Q9RyO4ehrXBV6fOmLl7NtdH4Vjliue6G/Cseool9XoOebcuQqHNMj1dVHJwr0+5t4CAm3BfqDLNCrgQ2aspllgFlGmGVAZPm9unNa6QW6vzTyz6ZMzy4i904bnS8XRbi9m0lXjPeboVjHTVIuL9CzTRldFnp+BPql+xecK8qnnn93Ew8h4bZAf5AFejWwQVM2swwwywizDIgsv1d3Tiu9QDdn0DV9ty7EcSD24E6EJwt080R7G79uIvKuu5pGd4WP7aY/m/DtyiPQ79+JsL8Td7slqQL97iYeQsJtgf4gC/RqYIOmbGYZYJYRZhkQWX6v7pxWfIGOIhyG24mEl/b1U230v7fXjnudrOi3/4wCvW9fGj7g7ee1BXq6Kf3DT3+fFujuOhq//uNz+4nXFej3NvEQEm4L9AdZoFcDGzRlM8sAs4wwy4DI8nt15zQLdF8fR/OAm6sqt4/PttHt5H27qKDdVOV9V3zjIs3je/+NnS3Qk03pHr5UH9FONpkU7dd2DsbVBfq9TTyEhNsC/UEW6NXABk3ZzDLALCPMMiCy/F7dOc0CnTW6JgbvsHTDkHBboD/IAr0a2KApm1kGmGWEWQZElvNFyAKdtUCB3h4cFV8MEm4L9AdZoFcDGzRlM8sAs4wwy4DIcr4IWaCzFiixu+6KIUduoAhDwm2B/iAL9Gpgg6ZsZhlglhFmGRBZzhchC3TWAgX62+e4sMd+s/QMDgv0Q7BArwY2aMpmlgFmGWGWAZHlfBGyQGctMY1i310sY3LjkyUg4bZAf5AFejWwQVM2swwwywizDIgs54uQBTprmXnI2/5ic8tCwm2B/iAL9Gpgg6ZsZhlglhFmGRBZzhchC7QykHD/oo97/2t2Rw3ABk3ZzDLALCPMMiCynC9CFmhlIOFeuns+hfe/ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYS7qW751N4/2t2Rw3ABk3ZzDLALCPMMiCynC9CFmhlMOFeunw+g/e/ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYYbt2ZO2qAWUaYZYBZRphlQGQ5X4Qs0MqAwr304duHdO3X7I4agA2aspllgFlGmGVAZDlfhCzQyoDCvXQXfVDXfc3uqAHYoCmbWQaYZYRZBkSW80XIAq0MJNxL99CHdd3X7I4agA2aspllgFlGmGVAZDlfhCzQykDCvXQPfVjXfc3uqAHYoCmbWQaYZYRZBkSW80XIAq0MJNx1F1z6Zn4PxwK9StigKZtZBphlhFkGRJbzRcgCrQwk3BboBAv0KmGDpmxmGWCWEWYZEFnOFyELtDKQcFugEyzQq4QNmrKZZYBZRphlQGQ5X4Qs0MpAwm2BTrBArxI2aMpmlgFmGWGWAZHlfBGyQCsDCbcFOsECvUrYoCmbWQaYZYRZBkSW80XIAq0MJNwW6AQL9Cphg6ZsZhlglhFmGRBZzhchC7QykHBboBMs0KuEDZqymWWAWUaYZUBkOV+ELNDKQMJtgU6wQK8SNmjKZpYBZhlhlgGR5XwRskArAwm3BTrBAr1K2KApm1kGmGWEWQZElvNFyAL9ELabsU9/fGxt3//6Z/W/3z5v3tKrQMJtgU6wQK8SNmjKZpYBZhlhlgGR5XyXskA/hJsW6O3mNwv007JArxI2aMpmlgFmGWGWAZHlfJmyQD+EtvOuZ2VIuC3QCRboVcIGTdnMMsAsI8wyILKcL0IW6IdggdaFLNCrhA2aspllgFlGmGVAZDlfhCzQD8ECrQtZoFcJGzRlM8sAs4wwy4DIcr4IWaAfwkHn/fZ589K+8uvv7ROb9s/avp4r/dr8+f1L+8fPXT17ehfzqN+aOdDVay8/Ry8erOcUJNwW6AQL9Cphg6ZsZhlglhFmGRBZzjczC/RDODxovNs0pwBWffc1Fgix2I+vo7MNzxXo6n3tGYnVW14O1tPbzN31X9uxQCfUXxryfx1Jksrlb+1DOCzQVeGtnor/bXpvXZL3mzigHA/bR7MCPb0Kx37TXooj/pitp2eBfhgWaEmS7s7f2odwZNpyc+x5F7Mt+ivSxR/dYel49WyBbg88t0/O1jOwQD8MC7QkSXfnb+1DmF4HOrptVYf/v34CR9evt3UfbotyW4PPFujuuVhotp6BBfphWKAlSbo7f2sfwrECXXXedq7yj69dRY4+PD1efb5At8ea9/XB6vl6zkAm+FugEzyJcJWwQVM2swwwywizDIgs55uZBfohHL3y3L67XEZTpYfbFPbTMsL5At2fPFg9N1vPuQ1Cwm2BTrBArxI2aMpmlgFmGWGWAZHlfDOzQD+EowW66rvRcj9SoKsaXj0Zy1ign4AFepWwQVM2swwwywizDIgs55uZBfohHC3Q9byOpikPFblxXYGuXn6LFj1fzzlIuC3QCRboVcIGTdnMMsAsI8wyILJ8VRmbsEA/hGMFer/Z/K++A78cWzqa9FCLt8cKdHO+4La74N306nWnIeG2QCdYoFcJGzRlM8sAs4wwy4DIcqKStSzQD+FIgW7abl+JJxMudsPUjtdRLa769LECvd98+t9fui59fuLGAAm3BTrBAr1K2KApm1kGmGWEWQZElnOtrGaBfghHCvS2nbtcl+P+xidxY5XuOtDNpTX6m63USx0r0NU6/mdbnGfrOQMJtwU6wQK9StigKZtZBphlhFkGRJbzzcwC/RAOC3Rbkts7qWzjgnb1WYBvP2d3Iqxv3l2/uOvODJzffWW36W88OFvPaUi4LdAJFuhVwgZN2cwywCwjzDIgspxvZhbohzC9DnTVjrtDxO1/q/+MrxHdPeynQsej/4wCvY9VjG87GJfDO1jPaUi4LdAJFuhVwgZN2cwywCwjzDIgspxvZhboh3BQoHddxd1vYrpG1YKHA8l9SW7tohLvhpka1ZJ9gZ7M15it5xQk3BboBAv0KmGDpmxmGWCWEWYZEFnONzMLtDKQcFugEyzQq4QNmrKZZYBZRphlQGQ5X4Qs0MpAwm2BTrBArxI2aMpmlgFmGWGWAZHlfBGyQCsDCbcFOsECvUrYoCmbWQaYZYRZBkSW80XIAq0MJNwW6AQL9Cphg6ZsZhlglhFmGRBZzhchC7QykHBboBMs0KuEDZqymWWAWUaYZUBkOV+ELNDKQMJtgU6wQK8SNmjKZpYBZhlhlgGR5XwRskArAwn3L8q57mt2Rw3ABk3ZzDLALCPMMiCynC9CFmhlIOFeuoc+rOu+ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYS7qV76MO67mt2Rw3ABk3ZzDLALCPMMiCynC9CFmhlMOFeuog+quu+ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYU7qWb6Krc62t2Rw3ABk3ZzDLALCPMMiCynC9CFmhlQOFeurOuzH2+ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYS7qX76urc52t2Rw3ABk3ZzDLALCPMMiCynC9CFmhlIOFeuq+uzn2+ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYS7rozLn1fktWwQD80bNCUzSwDzDLCLAMiy/kiZIFWBhJuC/SIBfqhYYOmbGYZYJYRZhkQWc4XIQu0MpBwW6BHLNAPDRs0ZTPLALOMMMuAyHK+CFmglYGE2wI9YoF+aNigKZtZBphlhFkGRJbzRcgCrQwk3BboEQv0Q8MGTdnMMsAsI8wyILKcL0IWaGUg4bZAj1igHxo2aMpmlgFmGWGWAZHlfBGyQCsDCbcFesQC/dCwQVM2swwwywizDIgs54uQBVoZSLgt0CMW6IeGDZqymWWAWUaYZUBkOV+ELNDKQMJtgR6xQD80bNCUzSwDzDLCLAMiy/kiZIF+SN+/bCZ++/PKd79+cAOQcFugRyzQDw0bNGUzywCzjDDLgMhyvghZoB+SBbo4FuiHhg2aspllgFlGmGVAZDlfhCzQj2y/+fX3xNss0A/IAv3QsEFTNrMMMMsIswyILOeLkAX6kVmgy2GBfmjYoCmbWQaYZYRZBkSW80XIAv3ILNDlsEA/NGzQlM0sA8wywiwDIsv5ImSBfmTTAv3t82YzemLbzI7+9Ee/bCV6c1Ogd8Pj2Xu/ff70R/3mtzOfjITbAj1igX5o2KApm1kGmGWEWQZElvMVzAL9yCYFejs5oXDfn2DYlOQfXzdDn64K9F++TM4+nLy3KtB/e+/ERCTcFugRC/RDwwZN2cwywCwjzDIgspyvYBboR7afHnB+bZ7avPxsjig3BXjfduZ4tX2xuYbHa7Tq16PvrR7++OfogzZzyD/PAj1SfxnIty5Jkt7jb/IjGxXoqvW+jf7YdXM3ds0i1ZOvw6O6QDcLV3/UNXv23q58j1igF2eBliRpNfxNfmSjAr3tS++2OYw8XaTr09GQ297cv2v23q5tj1igF2eBliRpNfxNfmRDgf7xtS+9u+HEwWY2Rr3IdnJMuSrQL6Nl5+/tD0gPLNCLs0BLkrQa/iY/sqFAT25N2BTo5roam7i2RlWRx0elh8vYNYV5/t4jBfoAMsHfAj3iSYQPDRs0ZTPLALOMMMuAyHK+glmgH9mZAr1ty/PeAv0cLNAPDRs0ZTPLALOMMMuAyHK+glmgH9mkQE/mLe+6y9DtLirQk/daoNfIAv3QsEFTNrMMMMsIswyILCf7108L9GObFOhxRa4aczvpeTeZAx1N+rBAj99rgV4lC/RDwwZN2cwywCwjzDIgspyvYBboRza5Csdw6uCoIleNeXwVjnh+VqBn77VAr5IF+qFhg6ZsZhlglhFmGRBZzlcwC/QjGxXo9iYo7cHnfs5GfUPCt+HKdIAMK58AACAASURBVPvuOtCTAj19rwV6lSzQDw0bNGUzywCzjDDLgMhyvoJZoB/Z7E6E9TSN9iYp7b0Fm1MJ334e3olwUqBn77VAr5EF+qFhg6ZsZhlglhFmGRBZzlcwC/QjGxfo+r7coW6/3ZU1fv1HHHvuXm2mQh8U6Ol7LdBrZIF+aNigKZtZBphlhFkGRJbzFcwC/cjGBbq78nN3PmBz8Pl1OJ1wH49rBwV6+l4L9BpZoB8aNmjKZpYBZhlhlgGR5XwFs0ArAwm3BXrEAv3QsEFTNrMMMMsIswyILOeLkAVaGUi4LdAjFuiHhg2aspllgFlGmGVAZDlfhCzQykDCbYEesUA/NGzQlM0sA8wywiwDIsv5ImSBVgYSbgv0iAX6oWGDpmxmGWCWEWYZEFnOFyELtDKQcFugRyzQDw0bNGUzywCzjDDLgMhyvghZoJWBhNsCPWKBfmjYoCmbWQaYZYRZBkSW80XIAq0MJNy/aOo+X7M7agA2aMpmlgFmGWGWAZHlfBGyQCsDCffSfXV17vM1u6MGYIOmbGYZYJYRZhkQWc4XIQu0MpBwL91XV+c+X7M7agA2aMpmlgFmGWGWAZHlfBGyQCuDCffShXVt7vM1u6MGYIOmbGYZYJYRZhkQWc4XIQu0MsBw687cUQPMMsIsA8wywiwDIsv5ImSBVgYU7qUP+a7FXb9md9QAbNCUzSwDzDLCLAMiy/kiZIFWBhTupYvretzxa3ZHDcAGTdnMMsAsI8wyILKcL0IWaGUg4V66tK7JHb9md9QAbNCUzSwDzDLCLAMiy/kiZIFWBhLupUvrmtzxa3ZHDcAGTdnMMsAsI8wyILKcL0IWaGUg4a6L49I3AFwDC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQhZoZSDhtkAHC/TjwwZN2cwywCwjzDIgspwvQuUW6O1m83Lk6d3m0x+n3/Tt8+bt0me///XPsxsQrx9/72knNvtWG3XpYki4LdDBAv34sEFTNrMMMMsIswyILF/UqI4qtkB//7LZ/Pr74fM3K9DbzW9nS2j7+pUF+tRm32ijLl4MCbcFOligHx82aMpmlgFmGWGWAZHlSwrVccUW6P3m3/5j83r4/PkCfYULC/SVTm32hSzQj8gC/fiwQVM2swwwywizDIgspwtVsQX6x9fNy9GuvO4CfXKzb7RRFy+GhNsCHSzQjw8bNGUzywCzjDDLgMhytk+VW6DrCQ5HJzmsu0Cf3OwbbdTFiyHhtkAHC/TjwwZN2cwywCwjzDIgspztU+UW6G3Vk398HffEqpfW5+dFga5eeq3+rLw1C3cTj6O8fv/Svfr6c3i2XUU817xav/vb509/bEfr2URBH72+eavW150Y2Pb3Zk1H5jofbPboI2ePzm3UdFvm/57xYqcg4bZABwv048MGTdnMMsAsI8wyILL8fmE8pdAC3VTGqikOHTUK5ebT37sC/e9f45nXaKBRKPsC/Zcv8eT4RMB2Fc1KxwX6b7HcftN5nRXophc3W1FP0RitaX4c+GCzxx85e3Ruo6bbMv/3HCnQm7n7/J9lxgId6u8B+cIlSdJFCv1h3jeFcnTkt7063LY9Kvvja3TL+qIXzaJVHa2f7wt00y/rpeoCGs/u+wdN7x2uslE9/eOf/fP79rjv+Coc+66uxh/bWNP+4Ip1882efuT00TsbNd6W+b/ncAqHBXpJFmhJktalzB/mbhZEf+S3apQx8WE3FOim0u67o7v7rke3BfpttJ54tmudseS8qw6Tq3fz19+6A8/tk/0k5/ls54PNnn7k9NG5jZpty/zfY4FeFwu0JEnrUuYPc9eX95u+N7eNsuqSbYGOCtkf7Y0+2hfotmBuR8elt9PTD4eCPLvq3EHBfus/P6ZoDPV1Oz0EfbDZ04+cPjq3UbNtmf97LNDrYoGWJGldyvxh7mpl15P7I8DdS/0TUWl/HhTodvHdqEDvNptxVz5xo5R6SsdhgW6XavpscwLjePUnN3v2kdNH5zZqti3zf49X4VgXTyJ8fNigKZtZBphlhFkGRJbPl51ziizQ48LYFNdRgd5dVqBfx0vHsz++Tk78OyzQ3dmIRwp0f/Jg9dz3L6MjveMCfbDZs4+cPjq3UbNtmf97LNDrYoF+fNigKZtZBphlhFkGRJbfKYxnFFmg96OG2nTSoUF+oEAP622vEzcr0Nu2sB6bwlG9tVpRrPdkgT7Y7PlHTh6d26jZtlig180C/fiwQVM2swwwywizDIgsX1wdD5RYoNujsqNDsDc5At2Iulq/Oi/Qu00/7+JIga5W+RYtetzm39ns+UdOHp3bqNm2WKDXzQL9+LBBUzazDDDLCLMMiCyfLzvnlFigx+f1xfl4o3uTXDgH+lSBjlXWK5sV6OEjjhbo5nzBbXc4fHb1ulObPf/IyaMzGzXfFgv0ulmgHx82aMpmlgFmGWGWAZHl82XnnBIL9Pj+Ke1VN45chePaAj0cxY4nZwW5f0+13LECvd98+t9fui599G7ih5s9/cjZBpzZqPm2WKDXzQL9+LBBUzazDDDLCLMMiCyfLzvnFFigh4u21eJ8vKptvnQPs0egZ1dnPjwCHWvcb7r7es8L9v9sV9DfQGVy0+5jmz39yOmjMxs13xYL9LpZoB8fNmjKZpYBZhlhlgGR5fNl55wCC/R+cpfq9kYnu26KQ75AtzcrrFf1+rM/YNzPpNh2s5DbAj1/fTecGbjddAeKR1t6bLOnH3nw6ORGzbbloECPD3Yfh4TbAh0s0I8PGzRlM8sAs4wwy4DI8iW98bjyCnTVjWcXV+46ZXPVi7/n50D3V8lo3rqPE/f6gtxdXOPXf3zubtQ9eb36o2utw+mCQ2U+vtlHPrJ7dG6jZttyUKD349MSj0LCbYEOFujHhw2aspllgFlGmGVAZPmi5nhUeQV6fmvAbvZGUypfPnQVjii+Xc/dN+sbncu3jVraTcyYvT6ZrxGXaR6fS3his6cfOX50bqNm23JQoPvFTkLCbYEOFujHhw2aspllgFlGmGVAZPlc1TmvvAKtW0DCbYEOFujHhw2aspllgFlGmGVAZDlfhCzQykDCbYEOFujHhw2aspllgFlGmGVAZDlfhCzQykDCbYEOFujHhw2aspllgFlGmGVAZDlfhCzQykDCbYEOFujHhw2aspllgFlGmGVAZDlfhCzQykDCbYEOFujHhw2aspllgFlGmGVAZDlfhCzQykDCbYEOFujHhw2aspllgFlGmGVAZDlfhCzQykDC/Yt6d/ya3VEDsEFTNrMMMMsIswyILOeLkAVaGUi4ly6ta3LHr9kdNQAbNGUzywCzjDDLgMhyvghZoJWBhHvp0romd/ya3VEDsEFTNrMMMMsIswyILOeLkAVaGUy4l26tK3LHr9kdNQAbNGUzywCzjDDLgMhyvghZoJUBhXvp2ro84Gt2Rw3ABk3ZzDLALCPMMiCynC9CFmhlQOFeur6uwd2/ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYS7qWr6zrc/Wt2Rw3ABk3ZzDLALCPMMiCynC9CFmhlIOFeurquw92/ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYS7ro+Ln0Tk2VZoJ8FNmjKZpYBZhlhlgGR5XwRskArAwm3BdoC/SywQVM2swwwywizDIgs54uQBVoZSLgt0BboZ4ENmrKZZYBZRphlQGQ5X4Qs0MpAwm2BtkA/C2zQlM0sA8wywiwDIsv5ImSBVgYSbgu0BfpZYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6At0M8CGzRlM8sAs4wwy4DIcr4IWaCVgYTbAm2BfhbYoCmbWQaYZYRZBkSW80XIAq0MJNwWaAv0s8AGTdnMMsAsI8wyILKcL0IWaGUg4bZAW6CfBTZoymaWAWYZYZYBkeV8EbJAP4ftZvNy6bLfPm/e3lnk+1//PL8AEm4LtAX6WWCDpmxmGWCWEWYZEFm+tDodskA/he9fNptff79w4fcL9HbzmwV6DSzQzwIbNGUzywCzjDDLgMjyhc3pCAv0U9hv/u0/Nq8XLmyBfhgW6GeBDZqymWWAWUaYZUBk+cLmdIQF+hn8+Lp52W0+/XHZ0hboh2GBfhbYoCmbWQaYZYRZBkSWLytOx1ign0FdiS+Y2Txa+vwSFuiVsEA/C2zQlM0sA8wywiwDIsuXFadjLNDPYLv59MePr33r/f5l8/pzt6m8DkvU4hh1U6D3/QHrbXP6YfVkt3zzzs35ko2E2wJtgX4W2KApm1kGmGWEWQZElvPVywL9BJrCXPXe7jTC6vFfvkQLjk6933TqhtwU6GqZt27ht65gx5mIFujVsEA/C2zQlM0sA8wywiwDIsv57mWBfgL7pvdWTbi9kl19TY66//742jfmpkjv4xh0TOHYtks3h6L30wUPpnBs5pB/lwW6/gaQr1qSJF3Bn+fH103e2HazMuoC/TZ6pT+/MA5SR4Hu5nA0RXrbH6pujmJboFfCAi1J0hr58/z4qkLczF3ed3OeqwLdFuDt9NIc+1GBbudwdDM4JstZoFfCAi1J0hr58/z4uvbbn0Y4TOaYXNuuPk9wKNDtHI44EL0bn3BogV4NC7QkSWvkz/PDG9flmLkRJxXGM/2FN4aTBNsCHdU5anQ9W7o/5dDL2K2GJxE+C2zQlM0sA8wywiwDIsv59mWBfnj78ZHhpkofFOhtW57HUzhi8kZ/MY5uLc0jC/RKWKCfBTZoymaWAWYZYZYBkeV8+7JAP7r24PHoCPNBgd51x5bHJxHGwef9qCrv+wvdWaBXwgL9LLBBUzazDDDLCLMMiCzn65cF+tF1pxDW2tMIZwV6uMXKtEDXczi246nPzQrqRS3QK2GBfhbYoCmbWQaYZYRZBkSW8/XLAv3ohvunNM25PuI8K9D9w6pJjwt09fz/+6V5c/XC5KxDC/RKWKCfBTZoymaWAWYZYZYBkeV8/bJAP7jhknW1OI3w8Ah0d8+U5uWuQFc9+X98jjf3l7HbegR6TSzQzwIbNGUzywCzjDDLgMhyvn9ZoB/cfnLP7biV4HwO9Lab2Twr0Pv+4nXVU02D3sUT46PaxyHhtkBboJ8FNmjKZpYBZhlhlgGR5Xz/skA/th9f57dAqarvvEA3t/auzzD8RzNfui/Q1fNdUe4v5fHSP5pMjp5Dwm2BtkA/C2zQlM0sA8wywiwDIsv5AmaBfmzjUwjbxy9HrgO9jUYcpxP2BXo8VSMu5tGV8X1XpU9Bwm2BtkA/C2zQlM0sA8wywiwDIsv5AmaBLtnu/GHmM5BwW6At0M8CGzRlM8sAs4wwy4DIcr5CWaAL9uPre1OdT0LCbYG2QD8LbNCUzSwDzDLCLAMiy/kOZYEu2LfP711s4yQk3BZoC/SzwAZN2cwywCwjzDIgspzvUBbocv34Or6Ax3WQcFugLdDPAhs0ZTPLALOMMMuAyHK+RFmgS7XbbN692vNpSLgt0BboZ4ENmrKZZYBZRphlQGQ5X6Ms0KXafaQ/W6AZFuhngQ2aspllgFlGmGVAZDlfoyzQykDC/Yt+sUA/B2zQlM0sA8wywiwDIsv5ImSBVgYS7qWr6zrc/Wt2Rw3ABk3ZzDLALCPMMiCynC9CFmhlIOFeurquw92/ZnfUAGzQlM0sA8wywiwDIsv5ImSBVgYT7qW76yrc/Wt2Rw3ABk3ZzDLALCPMMiCynC9CFmhlQOFeurwujvia3VEDsEFTNrMMMMsIswyILOeLkAVaGVC4l+6vK3D/r9kdNQAbNGUzywCzjDDLgMhyvghZoJWBhHvp7roK9/+a3VEDsEFTNrMMMMsIswyILOeLkAVaGUi4l+6uq3D/r9kdNQAbNGUzywCzjDDLgMhyvghZoJWBhLvuj0vfymRRFuingQ2aspllgFlGmGVAZDlfhCzQykDCbYG2QD8LbNCUzSwDzDLCLAMiy/kiZIFWBhJuC7QF+llgg6ZsZhlglhFmGRBZzhchC7QykHBboC3QzwIbNGUzywCzjDDLgMhyvghZoJWBhNsCbYF+FtigKZtZBphlhFkGRJbzRcgCrQwk3BZoC/SzwAZN2cwywCwjzDIgspwvQhZoZSDhtkBboJ8FNmjKZpYBZhlhlgGR5XwRskArAwm3BdoC/SywQVM2swwwywizDIgs54uQBVoZSLgt0BboZ4ENmrKZZYBZRphlQGQ5X4Qs0MpAwm2BtkA/C2zQlM0sA8wywiwDIsv5ImSBVgYSbgu0BfpZYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6At0M8CGzRlM8sAs4wwy4DIcr4IWaCVgYTbAm2BfhbYoCmbWQaYZYRZBkSW80XIAq0MJNwWaAv0s8AGTdnMMsAsI8wyILKcL0IWaGUg4bZAW6CfBTZoymaWAWYZYZYBkeV8EbJAKwMJtwXaAv0ssEFTNrMMMMsIswyILOeLkAVaF9jMIZ9qga4g37QkSbqGv8+6gAV6ERZoSZJWyd9nXcACvQgLtCRJq+Tvsy5ggV6EBVqSpFXy91kZyAR/C7QnET4LbNCUzSwDzDLCLAMiy/kiZIFWBhJuC7QF+llgg6ZsZhlglhFmGRBZzhchC7QykHBboC3QzwIbNGUzywCzjDDLgMhyvghZoJWBhNsCbYF+FtigKZtZBphlhFkGRJbzRcgCrQwk3BZoC/SzwAZN2cwywCwjzDIgspwvQhZoZSDhtkBboJ8FNmjKZpYBZhlhlgGR5XwRskArAwm3BdoC/SywQVM2swwwywizDIgs54uQBVoZSLgt0BboZ4ENmrKZZYBZRphlQGQ5X4Qs0MpAwm2BtkA/C2zQlM0sA8wywiwDIsv5ImSBVgYSbgu0BfpZYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6At0M8CGzRlM8sAs4wwy4DIcr4IWaCVgYTbAm2BfhbYoCmbWQaYZYRZBkSW80XIAq0MJNwWaAv0s8AGTdnMMsAsI8wyILKcL0IWaGUg4bZAW6CfBTZoymaWAWYZYZYBkeV8EbJAKwMJtwXaAv0ssEFTNrMMMMsIswyILOeLkAVaGUi4LdAW6GeBDZqymWWAWUaYZUBkOV+ELNDKQML9iyzQTwIbNGUzywCzjDDLgMhyvghZoJWBhHvp7roK9/+a3VEDsEFTNrMMMMsIswyILOeLkAVaGUi4l+6uq3D/r9kdNQAbNGUzywCzjDDLgMhyvghZoJXBhHvp8roG9/+a3VEDsEFTNrMMMMsIswyILOeLkAVaGVC4l26vC0G+3Z47agA2aMpmlgFmGWGWAZHlfBGyQCsDCvfSTXYxyPfbckcNwAZN2cwywCwjzDIgspwvQhZoZSDhXrrFLgj5flvuqAHYoCmbWQaYZYRZBkSW80XIAq0MJNxLt9gFId9vyx01ABs0ZTPLALOMMMuAyHK+CFmglYGEu26SS9/LZAEW6CeEDZqymWWAWUaYZUBkOV+ELNDKQMJtgUa4owZgg6ZsZhlglhFmGRBZzhchC7QykHBboBHuqAHYoCmbWQaYZYRZBkSW80XIAq0MJNwWaIQ7agA2aMpmlgFmGWGWAZHlfBGyQCsDCbcFGuGOGoANmrKZZYBZRphlQGQ5X4Qs0MpAwm2BRrijBmCDpmxmGWCWEWYZEFnOFyELtDKQcFugEe6oAdigKZtZBphlhFkGRJbzRcgCrQwk3BZohDtqADZoymaWAWYZYZYBkeV8EbJAKwMJtwUa4Y4agA2aspllgFlGmGVAZDlfhCzQF/r+ZVN7Of7qt8+bt4+tf9es/rc/P7aWizfnoxuMhNsCjXBHDcAGTdnMMsAsI8wyILKcL0IW6Iu09flkhf5oH932q79JhbZAPzIL9BPCBk3ZzDLALCPMMiCynC9CFuhL1P256Zs/vh5v0B/ro/XqP/3Rrv5GB6HvDAm3BRrhjhqADZqymWWAWUaYZUBkOV+ELNCX2G1+/b3/81hV/lCBrmtz9+79yVki64KE2wKNcEcNwAZN2cwywCwjzDIgspwvQhboC1QNt2+1378ca7gfKtBVJ3/tH2yHrr5mSLgt0Ah31ABs0JTNLAPMMsIsAyLL+SJkgb7AuEBXDbedZBHzlpupF0OBrv7YDBW4eTRqx6fWHivp3vJ6sKZqkdc4zfCt/eB44dTz3eZMP3/86OgGV/+fg3Z172yyBfqeLNBPCBs0ZTPLALOMMMuAyPJ7dec0C/QltuOKG/b9aX912ez66HZyKmD36Pwx5b4yzz5ydM5iVZT//Wv7aVGDozKfer7dnOnnTx7NN7j5mKpA/+XL0XMZN3NXfoE5BRdo5PuVJEk5/lJfYn9wULYqoE3H3Mcx6KGxvv7sJzLv+3J99sTAo7Oqt7GK9j/1LOl6Xc3FQOoCXK2z/thTz8fmTD9/+mjY4NHHNKt5i9VO/7kWaJAFWpKklfOX+iK7+ZHkXXdMetcV17fpvIi3YbLH/vwh6GOznvuj0rH6/jTDfbcR+7PPH/v86aN+g8cfM77YyLTzW6BBFmhJklbOX+rL/Pg6nuswcqyx1n+9HJ34ccyxAt2/tZmWPBTa/hTG+MBTz3ebM/786aPZEvEx1f/287unm26BBlmgJUlaOX+pL7c7rND1xOO+QDen9HWLVgV0dzDx46gjBXp01mJTyvvHUXR/jgr00efjf6efP33UbfDkY4YrjOze6/7IBP+CCzTy/bY8WQWADZqymWWAWUaYZUBk+f2WdooF+jrbvkF3J+0NBXp0u8JmZnR71Pq9O6PsDgt034fbKpsr0NPPnz7qNnjyMcNjC/SCLNBPCBs0ZTPLALOMMMuAyPL5hnaOBfpKVQ9t+u62Lc/70wV6uFTH6CTBtnePOvP+8CTC2xTo+eePH1mg18sC/YSwQVM2swwwywizDIgsX1D8TrBAX2A7PoocJ97tumO5u0mBPpyxEa11MndiVqBnl7HbVZ14tKYPTOE48vn9o/kGd1M4LNDLs0A/IWzQlM0sA8wywiwDIstnu85ZFugLTE6pa1rmcJmKaYE+ehvu/flpHNMbqTQn8t1mDvTxz49Hp+ZAW6CXZ4F+QtigKZtZBphlhFkGRJbPdp2zLNAX2B+cftdXzXZGx7HLXgz19J06up+d6ze7PMbL6aJ8tkBPP3+2NYdX4Xj5aYFeBwv0E8IGTdnMMsAsI8wyILJ8tuucZYG+QH+55dp2Mil5H3OK+zuXvHRv+O3PoZ5uz59IOF59e7S4n9ax7a73nDgCPf386aPZdaC33XWgLdDLs0A/IWzQlM0sA8wywiwDIstnu85ZFuhL1BOXo1HWf43uObjdjAt0/bCuv+0NSdrbAtYHlc9fza5evlmyrtLxOQd3IkwU6OnnHzw6eidCC/TyLNBPCBs0ZTPLALOMMMuAyPJlNfAYC/RFxhfYeBs/8es/Po/6aH+7lelFMI5PjR4Z3je6Fcvorck50NPPnzzqZklPPsYCvQoW6CeEDZqymWWAWUaYZUBk+d0CeJIF+kJdxx1N5WiuZxGzNcY38R4V5njTJfcjbFc/WrRZU/s4exLh9PPHj6YbPLkfYc0CvSAL9BPCBk3ZzDLALCPMMiCy/H5BO8UCrQwk3BZohDtqADZoymaWAWYZYZYBkeV8EbJAKwMJtwUa4Y4agA2aspllgFlGmGVAZDlfhCzQykDCbYFGuKMGYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6AR7qgB2KApm1kGmGWEWQZElvNFyAKtDCTcFmiEO2oANmjKZpYBZhlhlgGR5XwRskArAwm3BRrhjhqADZqymWWAWUaYZUBkOV+ELNDKQML9S7mQ77fljhqADZqymWWAWUaYZUBkOV+ELNDKQMK9dItdEPL9ttxRA7BBUzazDDDLCLMMiCzni5AFWhlIuJdusQtCvt+WO2oANmjKZpYBZhlhlgGR5XwRskArgwn30jV2Ocj323JHDcAGTdnMMsAsI8wyILKcL0IWaGVA4V66x0KQb/Mkd9QAbNCUzSwDzDLCLAMiy/kiZIFWBhTupZstBvk+T3BHDcAGTdnMMsAsI8wyILKcL0IWaGUg4V661YKQ7/MEd9QAbNCUzSwDzDLCLAMiy/kiZIFWBhLupVstCPk+T3BHDcAGTdnMMsAsI8wyILKcL0IWaGUg4a6b5dJ3NQFYoAuADZqymWWAWUaYZUBkOV+ELNDKQMJtgUa4owZgg6ZsZhlglhFmGRBZzhchC7QykHBboBHuqAHYoCmbWQaYZYRZBkSW80XIAq0MJNwWaIQ7agA2aMpmlgFmGWGWAZHlfBGyQCsDCbcFGuGOGoANmrKZZYBZRphlQGQ5X4Qs0MpAwm2BRrijBmCDpmxmGWCWEWYZEFnOFyELtDKQcFugEe6oAdigKZtZBphlhFkGRJbzRcgCrQwk3BZohDtqADZoymaWAWYZYZYBkeV8EbJAKwMJtwUa4Y4agA2aspllgFlGmGVAZDlfhCzQt7fdbF7us+bvf/3zusW+ff6t/XO3qXWP6m3svY7eeum2I+G2QCPcUQOwQVM2swwwywizDIgsX1J5jrNA39z3L5vNr7/fY83boQBfuNiurcNDX25fGhfo0dZevO1IuC3QCHfUAGzQlM0sA8wywiwDIssXV7ADFuib22/+7T8mR3Vv5voCvd28/Yxa/OmP6o8fX7sGPSnZ8WLt4m1Hwm2BRrijBmCDpmxmGWCWEWYZEFm+sIAdYYG+taqkvuyGSnpLVxfo71/q7ahr81v72r6dYpTAxQAAIABJREFUojFe1a6fxXH5tiPhtkAj3FEDsEFTNrMMMMsIswyILF/Wv46xQN/at8+bt/r/3WHVVxfofdOWd+NpztuYojFe1fcv3YPLtx0JtwUa4Y4agA2aspllgFlGmGVAZPmi+nWUBfrWtptPf/z4Oq66+8mZetNHVV3tZx1XRbZ9Po4CN493/eJxGmC025jCHIeKzy722hxWHh1Trj7w9ee0QA8LHG77KUi4LdAId9QAbNCUzSwDzDLCLAMiy5eWu0MW6BuLFrwbTsWrJ1AMbXf6qD+X72V4a60v0H/5Mpz6NzTj/eQCGicXq16pt6KtzFNHC/TBtp+GhNsCjXBHDcAGTdnMMsAsI8wyILKcaXrBAn1j+6Z+VlW0uxrctqm5w9zj2aOX4T9HCnRThOvS/RqLN623asTNf/ebs4t1F7HbbY7MyTg6heNg23ubuZt8V+8pqEAj36ckSboNf7lvq5sAse2OMXfHf+O47vFH7cNjBfptutLmP/1pfv3bji5Wvx6zNY4cUT52EuHBtg8s0HdkgZYk6cH4y31bXSfeb/puHG00zs2bPuqbalTnIwW6v2pzs+D8JML+iPHxxX58bc8XPFugh0vbHWz7wAJ9RxZoSZIejL/ct7Ud5jofXHB5/qi+aNz4+SMF+mX8eLau+vzD6ZSL2WLfPrcPjxbokdEphJNtH1ig78gCLUnSg/GX+6bGZbaZVzEqyQePhsIc1ffoVThGj8eTm9see2zmR79YexvCoycFbg/q8+G2n4NM8C+oQCPf5wmerALABk3ZzDLALCPMMiCy/E7bOcMCfVP78VHauo7epUBv2/K8P1+g4zaE9TadP4nw1Lafg4TbAo1wRw3ABk3ZzDLALCPMMiCy/E7bOcMCfUvdReqGw8MXFuhTUziONuPdpj/EfK5Ax20IDy5jt2sv/DEv0Ifbfg4Sbgs0wh01ABs0ZTPLALOMMMuAyPK7ze4kC/QtjbtqeyrecEZfXVwnj07Pgd6eK9DDFOXzBXrfrn16I5X2lMPDAn1k289Awm2BRrijBmCDpmxmGWCWEWYZEFl+v9qdYoG+pfF046qp1r21u+5Gd5OS8aPxVTheRpOQ28p7ohn3T1eLnSvQ2+7pSR1u5zcfFugj234GEm4LNMIdNQAbNGUzywCzjDDLgMjyRe3uKAv0DQ0XlKtFVR2uDTe+8vP0UXuhjP7Q8nCHlBNHoKNn7+MGKid7dleI68kZ3Szo/WZ2rehz234GEm4LNMIdNQAbNGUzywCzjDDLgMjypQ3vkAX6hqan67U3DLz8ToTd5Obd5kSBbg8Sb7vJIScKdHeXlr4Q17daaV6pq3QcWj4o0Ee3/TQk3BZohDtqADZoymaWAWYZYZYBkeVrWt6UBfp2ppONR8eVG/3k59Gj/mpy/dSNePE/jxfo5joZr3Hv7vpEv398Pnb/lXax3WjexugEwf6DpwX5+LafhoTbAo1wRw3ABk3ZzDLALCPMMiCyfHnJm7NA387schf146YYt723NX3UXNF5qK67OKp84ioczXvbQ9b1OmLOx/HF/u+vkwbcVuj+k+YF+tS2n4KE2wKNcEcNwAZN2cwywCwjzDIgsnyu6pxngVYGEm4LNMIdNQAbNGUzywCzjDDLgMhyvghZoJWBhNsCjXBHDcAGTdnMMsAsI8wyILKcL0IWaGUg4bZAI9xRA7BBUzazDDDLCLMMiCzni5AFWhlIuC3QCHfUAGzQlM0sA8wywiwDIsv5ImSBVgYSbgs0wh01ABs0ZTPLALOMMMuAyHK+CFmglYGE2wKNcEcNwAZN2cwywCwjzDIgspwvQhZoZSDh/qUcyPd5gjtqADZoymaWAWYZYZYBkeV8EbJAKwMJ99KtFoR8nye4owZgg6ZsZhlglhFmGRBZzhchC7QykHAv3WpByPd5gjtqADZoymaWAWYZYZYBkeV8EbJAK4MJ99K1loN8nye4owZgg6ZsZhlglhFmGRBZzhchC7QywHDrztxRA8wywiwDzDLCLAMiy/kiZIFWBhTupQ8MA5Bv8ix31ABs0JTNLAPMMsIsAyLL+SJkgVYGFO6l2y0C+S7PcEcNwAZN2cwywCwjzDIgspwvQhZoZSDhXrrZQpDv8gx31ABs0JTNLAPMMsIsAyLL+SJkgVYGEu6lmy0E+S7PcEcNwAZN2cwywCwjzDIgspwvQhZoZSDhrtvl0rcJvDMLdCGwQVM2swwwywizDIgs54uQBVoZSLgt0Ah31ABs0JTNLAPMMsIsAyLL+SJkgVYGEm4LNMIdNQAbNGUzywCzjDDLgMhyvghZoJWBhNsCjXBHDcAGTdnMMsAsI8wyILKcL0IWaGUg4bZAI9xRA7BBUzazDDDLCLMMiCzni5AFWhlIuC3QCHfUAGzQlM0sA8wywiwDIsv5ImSBVgYSbgs0wh01ABs0ZTPLALOMMMuAyHK+CFmglYGE2wKNcEcNwAZN2cwywCwjzDIgspwvQhZoZSDhtkAj3FEDsEFTNrMMMMsIswyILOeLkAX6Oew2td/+jEffPm/eTi97/tXLFkHCbYFGuKMGYIOmbGYZYJYRZhkQWb60Zh2yQD+D7aYTFdoC/Sgs0IXABk3ZzDLALCPMMiCyfHnVmrNAP77vXzabT39Uf/z42jboCyryeRZoiAW6ENigKZtZBphlhFkGRJbzTckC/fDq2ty13f1m8/LTAv04LNCFwAZN2cwywCwjzDIgspxvShboh7fbbF77B9vNr79boB+HBboQ2KApm1kGmGWEWQZElvNNyQL96H58jfkboWq+r6P+W/2xaSp18/enP+rJ0m/9q/t61nRfvmMidazLAg2xQBcCGzRlM8sAs4wwy4DIcr5+WaAfXVTmg+ea/rsdn1pYFei/NX+3r9ZTP4bKvO/PQ3z9eVigN3PAP6wKZxkFGvkuJUnS7fjr/eh2m8ODxW3/3UYbHiZGVw9//HP66vBi07L3Uagt0BALtCRJD8hf70e37aZojET/HU/keBs68vCwOXK9a96/6+aB7I5OorZA34kFWpKkB+Sv96M7XaC3/Y1VtvVR5n6uR7y6Oz7deW+BJlmgJUl6QP56P7qTBfrH135ydFOWZwekh3o9feNll/FAJvgXUqCR7/IMT1YBYIOmbGYZYJYRZhkQWc7XLwv0o9udKtD1/VV6BwW6qtcv8/cECzTIAl0IbNCUzSwDzDLCLAMiy/n6ZYF+dPtTJxFeV6C3bXk+PoXjABJuCzTCHTUAGzRlM8sAs4wwy4DIcr5+WaAf3ewydrt2unNToF9nC54u0Lv2WncnTiI8gITbAo1wRw3ABk3ZzDLALCPMMiCynK9fFuhHN72RStWaqyLcFejJMeYTc6CbJl39Tzsj2gKNskAXAhs0ZTPLALOMMMuAyHK+flmgH95+fCvvuCp0V5FHzfqgQHdX4WgOVPdHq6smbYEGWaALgQ2aspllgFlGmGVAZDnfvizQD6++o2DXdvcxEyP6b3uPlJ/t8eXDy0K/xluqxtxP6KhvSPhmgcZYoAuBDZqymWWAWUaYZUBkOd++LNCPrz5bsDmaXFfp5o/hXoN1na5fP7yvyvROhO1NC5tTCS3QHAt0IbBBUzazDDDLCLMMiCzny5cF+gnUxbk1vtfg6Pm3n4cFunu1eUt3yY5f/9EcmLZAQyzQhcAGTdnMMsAsI8wyILKc714W6KfQluFuzvO4K2+6iRzzAh3zNfr509t4MJvucQoSbgs0wh01ABs0ZTPLALOMMMuAyHK+eVmglYGE2wKNcEcNwAZN2cwywCwjzDIgspwvQhZoZSDhtkAj3FEDsEFTNrMMMMsIswyILOeLkAVaGUi4LdAId9QAbNCUzSwDzDLCLAMiy/kiZIFWBhJuCzTCHTUAGzRlM8sAs4wwy4DIcr4IWaCVgYTbAo1wRw3ABk3ZzDLALCPMMiCynC9CFmhlIOG2QCPcUQOwQVM2swwwywizDIgs54uQBVoZSLh/KQPyXZ7hjhqADZqymWWAWUaYZUBkOV+ELNDKQMK9dLOFIN/lGe6oAdigKZtZBphlhFkGRJbzRcgCrQwk3Es3WwjyXZ7hjhqADZqymWWAWUaYZUBkOV+ELNDKYMK9dLVlIN/lGe6oAdigKZtZBphlhFkGRJbzRcgCrQwo3Et321tBvq4sd9QAbNCUzSwDzDLCLAMiy/kiZIFWBhTupYvv7SBfWI47agA2aMpmlgFmGWGWAZHlfBGyQCsDCffSpfeWkC8sxx01ABs0ZTPLALOMMMuAyHK+CFmglYGEe+nSe0vIF5bjjhqADZqymWWAWUaYZUBkOV+ELNDKQMJdF8+l73RyCxZoYYOmbGYZYJYRZhkQWc4XIQu0MpBwW6AR7qgB2KApm1kGmGWEWQZElvNFyAKtDCTcFmiEO2oANmjKZpYBZhlhlgGR5XwRskArAwm3BRrhjhqADZqymWWAWUaYZUBkOV+ELNDKQMJtgUa4owZgg6ZsZhlglhFmGRBZzhchC7QykHBboBHuqAHYoCmbWQaYZYRZBkSW80XIAq0MJNwWaIQ7agA2aMpmlgFmGWGWAZHlfBGyQCsDCbcFGuGOGoANmrKZZYBZRphlQGQ5X4Qs0MpAwm2BRrijBmCDpmxmGWCWEWYZEFnOFyEL9IK+f9nUXo6/+u3z5i275h9fN4Pf/jzx8X898kJ86rufjYTbAo1wRw3ABk3ZzDLALCPMMiCynO1ZFugFtfX5ZIW+WYHebF6PLbM92qwt0LdngRY2aMpmlgFmGWGWAZHlbM+yQC+n7s9NSa3L7rEG/cEC3a9yv9kcXdHxAn3hZyPhtkAj3FEDsEFTNrMMMMsIswyILGc6VrBAL2W3+fX3/s9jdfVWBbpu0McKugWaYoEWNmjKZpYBZhlhlgGR5UTFalmgFzKuuN+/HGu4NyvQ1YNPfxwuY4GmWKCFDZqymWWAWUaYZUBkOdOxggV6IZOK23fZbTNlOepuX2KrPzbD4erm0fFZzSfWXq21LdCjNe1idvTb8U+1QN+SBVrYoCmbWQaYZYRZBkSW32trp1mgl7I9PCy8n5z115XY7eRiGt2jvlAfdfwI9HhNQ4E+9qkW6FuyQAsbNGUzywCzjDDLgMjyFb1txgK9lP3BceSqtTYleR9Hg9sSu43F2onM+77mnp5/8fPEHOjpmrrD3kc/dV6gN3Mf/udf4pkKNPKFSZIkhD/si9nNjyTvumPScX7hrMrGH91kj/35Q9DjAr1rP2S2pm5V5z+1ZYH+CAu0JEnPxR/25fQXa56fQbgfVdnhVL9tvdyRiR9nVz2Z6TxZ08FJhHsL9J1YoCVJei7+sC9rd1ih6zP9+ipbNeHXftGqO+/eP4GwNinQr91TkzXNCvTkUy3QN2WBliTpufjDvrxt36DjChubUZUd3a6wmaPcNuOzE6B/DlM46sXbJjxf01CgDz/VkwhvypMIhQ2aspllgFlGmGVAZDnd3SzQa1DV3GaW8ratsfvTBXq4aMao4LYNeDQrepgDve2OQJ8s0Ec+1QJ9UxZoYYOmbGYZYJYRZhkQWc53Nwv0QiYTKKq++tpM54jndpMCfThjYz+amdG+/WSBro9BN0serKk/ifDwUy3QN2WBFjZoymaWAWYZYZYBkeULS9sRFuiFTM4GbMptVXXbTj0t0Mduw1136HPTOEZX4ahW0zTrgzVFgT76qRbom7JACxs0ZTPLALOMMMuAyPLZrnOWBXoh+9kh5NHB5nZGR3cVjvFlN4ZivDt7OY7ZZeyaijy/gEcU6OOfaoG+JQu0sEFTNrMMMMsIswyILL9T1s6wQC9kdHpf22370ruPGc5RYrvbnrSHivsWPL8I3cHaX0Z/T26g0h107o9AH/lUC/QtWaCFDZqymWWAWUaYZUBk+arqNmGBXko9cTnKcP3X6J6D2824ytYP2yPF7ZPNm3bnr2Y3uRNhN4ljuqZ2ysbxT7VA35IFWtigKZtZBphlhFkGRJaTHe6nBXpB48tivI2f+PUfzTmFbYkdLuncLNRdhOP41OjOpEDX5fjlxJpej3+qBfqWLNDCBk3ZzDLALCPMMiCynKxwPy3Qi+oa7WgqR9NpY47F+Nbbo8Icb3rnfoTTAt0dc56tad/+feRTLdC3ZIEWNmjKZpYBZhlhlgGR5Usb2yELtDKQcFugEe6oAdigKZtZBphlhFkGRJbzRcgCrQwk3BZohDtqADZoymaWAWYZYZYBkeV8EbJAKwMJtwUa4Y4agA2aspllgFlGmGVAZDlfhCzQykDCbYFGuKMGYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6AR7qgB2KApm1kGmGWEWQZElvNFyAKtDCTcFmiEO2oANmjKZpYBZhlhlgGR5XwRskArAwn3L08E+cJy3FEDsEFTNrMMMMsIswyILOeLkAVaGUi4ly69t4R8YTnuqAHYoCmbWQaYZYRZBkSW80XIAq0MJNxLl95bQr6wHHfUAGzQlM0sA8wywiwDIsv5ImSBVgYT7qVb7w0hX1iOO2oANmjKZpYBZhlhlgGR5XwRskArAwy37swdNcAsI8wywCwjzDIgspwvQhZoZUDhXvq48U0g39UHuKMGYIOmbGYZYJYRZhkQWc4XIQu0MqBwL919bwT5ttLcUQOwQVM2swwwywizDIgs54uQBVoZSLiX7r03g3xbae6oAdigKZtZBphlhFkGRJbzRcgCrQwk3Ev33ptBvq00d9QAbNCUzSwDzDLCLAMiy/kiZIFWBhLuunsufRfBD7NA61+WDohZBphlhFkGRJbzRcgCrQwk3BZohDtqADZoymaWAWYZYZYBkeV8EbJAKwMJtwUa4Y4agA2aspllgFlGmGVAZDlfhCzQykDCbYFGuKMGYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6AR7qgB2KApm1kGmGWEWQZElvNFyAKtDCTcFmiEO2oANmjKZpYBZhlhlgGR5XwRskArAwm3BRrhjhqADZqymWWAWUaYZUBkOV+ELNDKQMJtgUa4owZgg6ZsZhlglhFmGRBZzhchC7QykHBboBHuqAHYoCmbWQaYZYRZBkSW80XIAr2s7182tZfh4evw4rfPm7fp/56023z6Y/Rwu/ntz9ML//jaf2AWEm4LNMIdNQAbNGUzywCzjDDLgMhyvghZoJfU1uehQlugxyzQCHfUAGzQlM0sA8wywiwDIsv5ImSBXlDdn5tWXDXaqLTTAh0s0A/NAq1/WTogZhlglhFmGRBZzhchC/SCdptff+//bPqxBXrMAo1wRw3ABk3ZzDLALCPMMiCynC9CFujljHts1ZxfflqgpyzQCHfUAGzQlM0sA8wywiwDIsv5ImSBXs6kx0bl7Qp0VZerQnx0DnT1x2Y4ch0PX94v0NtmpnUs1Hzw9nA17cNvnz/9Ub96rrAj4bZAI9xRA7BBUzazDDDLCLMMiCxf3d16FugFbaet92dfoKM/Hy3Q2/akw7Ygtw8//f18gd73JyvWq68K9P/15dhqotBXBfpvw0uNzdyNv4njnqZAI9+WJEmi+Nu+oH1baAdRoKuy3LTXIwV6G+/Yt113G//d9geXW7MC3a1wH4vV5yx275ut5iWWrj7kxz9HK7BAp1mgJUl6Ov62L2nXlNFhIkUU6K7uHinQ44kc8fC1W9G5At1P8IjTFusC/Tp6PFpN+3A+AcQCnWaBliTp6fjbvqjmWPDoTip1gR7662F1Horxtn5LX4yr9110EuG+K9DD+15HU0n6A+DzMxkt0GkWaEmSno6/7YvbjSp01WD/8qUvvwcFumq+r/27Pv0xOgtxe0mBrudmtAX6ZbTg7OF7F/xoIBP8n6ZAI99WmierALBBUzazDDDLCLMMiCxfUddmLNCrsG0bdHtrwra/HhTo0Z0LN9MC/d5VOJqrbHTzRWY9fHTtvN1w8Y/zkHBboBHuqAHYoCmbWQaYZYRZBkSWc62tZoFeh6rT1tW2bsj/9h9dGX6vQM+b72BeoLdted5boGkWaP3L0gExywCzjDDLgMhyurdZoBc0abkx8fh7PX+j+vOle+6gQI9nJ198BHrXXZRu906BdgrHzVmg9S9LB8QsA8wywiwDIsuXVrZDFujlTOYtR4vtTuqLBnusQI9vIVgV4eGcwjMFelhu5xxomgVa/7J0QMwywCwjzDIgsnx5aZuzQC9nP74KdLTWvkafuA70rCdfeBWO/hBzO1FkKNSHV+F4efeu4Q0k3BZohDtqADZoymaWAWYZYZYBkeVrq9vAAr2c+hp2fVONEttW3bZaHxbo7gYqbQfuJ3ucvw50f4h5HycoDteB3k6vA90/tEDfjAVa/7J0QMwywCwjzDIgspwrcDUL9ILqS2NE763/qktrd6x43GTndyKsq3F9NmH9sJ3c/N6dCNv7F243Q4Gun+iL9MGdCC3QN2OB1r8sHRCzDDDLCLMMiCznO5wFeknjq2q8tU80jTZupnKkQPd3Xmk77ra9Isff5wV6UFXx7nN+/cfntjj/pX3mdbr8S/vhFuibsUDrX5YOiFkGmGWEWQZElvMVzgK9rK4Qt421n62828Q9vY/exHu4c2HbwV8Or8IxKdDtE6/tzI/mKhzTo9bNWidXzzsPCbcFGuGOGoANmrKZZYBZRphlQGQ5X+As0MpAwm2BRrijBmCDpmxmGWCWEWYZEFnOFyELtDKQcFugEe6oAdigKZtZBphlhFkGRJbzRcgCrQwk3BZohDtqADZoymaWAWYZYZYBkeV8EbJAKwMJtwUa4Y4agA2aspllgFlGmGVAZDlfhCzQykDCbYFGuKMGYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6AR7qgB2KApm1kGmGWEWQZElvNFyAKtDCTcvzwL5NtKc0cNwAZN2cwywCwjzDIgspwvQhZoZSDhXrr33gzybaW5owZgg6ZsZhlglhFmGRBZzhchC7QykHAv3XtvBvm20txRA7BBUzazDDDLCLMMiCzni5AFWhlMuJcuvreCfFtp7qgB2KApm1kGmGWEWQZElvNFyAKtDCjcSzffPOQLug131ABs0JTNLAPMMsIsAyLL+SJkgVYGFO6la/BHIF/RLbijBmCDpmxmGWCWEWYZEFnOFyELtDKQcC9dgT8G+YpuwR01ABs0ZTPLALOMMMuAyHK+CFmglYGEe+kK/DHIV3QL7qgB2KApm1kGmGWEWQZElvNFyAKtDCTcdQ1d+j4oORZoTWGDpmxmGWCWEWYZEFnOFyELtDKQcFugEe6oAdigKZtZBphlhFkGRJbzRcgCrQwk3BZohDtqADZoymaWAWYZYZYBkeV8EbJAKwMJtwUa4Y4agA2aspllgFlGmGVAZDlfhCzQykDCbYFGuKMGYIOmbGYZYJYRZhkQWc4XIQu0MpBwW6AR7qgB2KApm1kGmGWEWQZElvNFyAKtDCTcFmiEO2oANmjKZpYBZhlhlgGR5XwRskArAwm3BRrhjhqADZqymWWAWUaYZUBkOV+ELNDKQMJtgUa4owZgg6ZsZhlglhFmGRBZzhchC/TlfnzdDH778/hC3/965IVvnzdv3f/2C37ZbH79fbLyU+vkHf1XjCHhtkAj3FEDsEFTNrMMMMsIswyILOebkgX6cpMCvdm8Hltme7QFnyrQo3VUL66nQB//V4wh4bZAI9xRA7BBUzazDDDLCLMMiCznq5IF+nJVgX7p/t5X7fftyDLnqueRAj0svDtzVBtngf4gC7SmsEFTNrMMMMsIswyILOerkgX6cuMCXTfolyPLXFWg/8fnfg5Hc3TbAj1lgUa4owZgg6ZsZhlglhFmGRBZzlclC/TlJgW6evDpj8NlrirQ//61n8Px7fOnv1mgZyzQCHfUAGzQlM0sA8wywiwDIsv5qmSBvtykQFclsy3Q9ezl9nTAXcyOfovXa7HMiTnQr7u+qO42r31rHb+zXipW+zp88PBy9/Ev1TKHm1Nvcfvut/aN/SHv8WKzDxn/K05Bwm2BRrijBmCDpmxmGWCWEWYZEFm+pP4dZ4G+3PEj0NvRZTmG6rmfnGt4qkB/+9w33V9/bwv09J3VUn/5Mr7ux/Tl/uM//f3I5tQb+e/tmY+vTWPue/FksdmHHCnQm7n7fMMzj12gka9IkiQtwJ/5yx2dA72NJjs8bCpp1Va7Nlz32lMF+kc3h+Pb59/+jLfO3tmcavgWc6RfD1dcl92X2Ip4PN2cZmb1a7uWuqtXbz+y2PxDDqdwWKCvY4GWJOmZ+TN/uXGB3rXzH/pS3P7RVs9+QsWu661HC/TPbg7Hrvp72x7+nbyz7rZv7Ycfebla5Uu3PUNT7zenbsTN4303XWM/2p5+sfmHWKA/ygItSdIz82f+crPrQLcznbuquW0PBU+r5/58gW7ncNQzOOZv3XcFup8ZPTlpMV7u+3S1XP3XbHO6Qly/HEU7tmG22MGHWKA/yAItSdIz82f+cpMC/do91Z3ct5s12Fo97/hsgW7fX8/gmL61e2fffIeuPH552x8Tb6rvfHP6Y+bNh7VvfDtY7OBDvArHB3kSoaawQVM2swwwywizDIgsny8751igL9fV0X5iRDt7uDMp0N05e+cLdNVY61XWMzj6t07e2TffvkCPXx5NKuma8GRzThTo+WIHH2KB/iALtKawQVM2swwwywizDIgs5wphzQJ9uaGubrsj0CcL9LbtuO9M4aiv//xHzODo3jp955FuO3p5eNUCvSoWaE1hg6ZsZhlglhFmGRBZTndCC/QVhgLdX65i1GBDfxJhf3bg+QJdrektZnD0JxFO3jnvttOXjxyBnmzO6QI9WcwCfWsWaE1hg6ZsZhlglhFmGRBZPl92zrFAX25UV6se2pz9N8webkX17E/ee7dAN3M4mhkc8db5O2fddvbyaIu208nMsy0+KNCTxSzQt2aB1hQ2aMpmlgFmGWGWAZHl82XnHAv05WaXsWsnXExv6B3Vs2+k1VveKdDfPn/6/5sVuP60AAAgAElEQVQZHPHW+Ttn3Xb+8uFVOCabc6JAzxezQN+aBVpT2KApm1kGmGWEWQZEls+XnXMs0JcbF+huEkd3A5Xu2HB/BDqe3cfl7s4U6GrR//V5uPjy/J2HR6DnK35tX22q72xzThXo2WIW6FuzQGsKGzRlM8sAs4wwy4DI8hUtcMYCfbnJnQi7SRzbTXfMuWnHu/7ZmJXxboFubpw9uv3f7J3zbjt7+didCEebc6pAzxY7KNDtv+IMJNwWaIQ7agA2aMpmlgFmGWGWAZHlTB0MFujLTQp03UH7u2UPN1bZxzWiu+tc/PqPz3GtjdMFumviw+yP8Tvn3Xb2cndVjs2nv0f1nW7OyQI9XeygQO+HK12fgITbAo1wRw3ABk3ZzDLALCPMMiCynCuENQv05aYFur//dVyYuXtlvxmOCcedUqpafK5A9+cFTq6A93pqdsX05e7jX/qbgk8252SBni52+CH70b/oKCTcFmiEO2oANmjKZpYBZhlhlgGR5Uvq33EW6Cfx/rTlm0LCbYFGuKMGYIOmbGYZYJYRZhkQWc4XIQv0Q+svpzE9On5/SLgt0Ah31ABs0JTNLAPMMsIsAyLL+SJkgX5ou+6m4vvNeHrI/SHhtkAj3FEDsEFTNrMMMMsIswyILOeLkAX6oXVnIO437AwOC/R5FmhNYYOmbGYZYJYRZhkQWc4XIQv0Y9t3V9OY3s/l7pBwW6AR7qgB2KApm1kGmGWEWQZElvNFyAL96LbDNfRASLgt0Ah31ABs0JTNLAPMMsIsAyLL+SJkgVYGEu5fHhryFd2CO2oANmjKZpYBZhlhlgGR5XwRskArAwn30hX4Y5Cv6BbcUQOwQVM2swwwywizDIgs54uQBVoZSLiXrsAfg3xFt+COGoANmrKZZYBZRphlQGQ5X4Qs0Mpgwr10B/4Q5Cu6BXfUAGzQlM0sA8wywiwDIsv5ImSBVgYU7qVL8PWQL+a23FEDsEFTNrMMMMsIswyILOeLkAVaGVC4l67DGchXc0vuqAHYoCmbWQaYZYRZBkSW80XIAq0MJNxLV+Ec5Ku5JXfUAGzQlM0sA8wywiwDIsv5ImSBVgYS7qWrcA7y1dySO2oANmjKZpYBZhlhlgGR5XwRskArAwl3XUeXviXKdSzQOg4bNGUzywCzjDDLgMhyvghZoJWBhNsCjXBHDcAGTdnMMsAsI8wyILKcL0IWaGUg4bZAI9xRA7BBUzazDDDLCLMMiCzni5AFWhlIuC3QCHfUAGzQlM0sA8wywiwDIsv5ImSBVgYSbgs0wh01ABs0ZTPLALOMMMuAyHK+CFmglYGE2wKNcEcNwAZN2cwywCwjzDIgspwvQhZoZSDhtkAj3FEDsEFTNrMMMMsIswyILOeLkAVaGUi4LdAId9QAbNCUzSwDzDLCLAMiy/kiZIFWBhJuCzTCHTUAGzRlM8sAs4wwy4DIcr4IWaBX5sfXza+/94+2m9/+vMVav3+p1lOtetCu99jHffv88u4KkXBboBHuqAHYoCmbWQaYZYRZBkSW883KAr0ydcsdSvOtCvR28/ZzWqA3m9eTH9csfR4Sbgs0wh01ABs0ZTPLALOMMMuAyHK+WVmgV6Zpua/doxsV6H2zmmrVL8Mzm6YlH/24718+/fHOGpFwW6AR7qgB2KApm1kGmGWEWQZElvPVygK9Mk2j7WdV3KZAV+tsy/IwN6Nq0C8nP243dOoTkHBboBHuqAHYoCmbWQaYZYRZBkSW893KAr0yVaP975/72nybAh0HoKcFunpQH2Y+/nHfPr93CBoJtwUa4Y4agA2aspllgFlGmGVAZDnfrSzQK1O33F0/qyIa7fcv3eNd03rrfruNORjfPm/GczCah6OzArtVdvOdR2cHbrsCffBxzR/vHIJGwm2BRrijBmCDpmxmGWCWEWYZEFlOVbWGBXpl6kY7XBrjZIH+W1xIY9ueENgvPrnERuvb53j5xBHog4/7WR+zfucQNBJuCzTCHTUAGzRlM8sAs4wwy4DIcr6vWaBXpmm537pZFacKdH3M+Mc/64nM9Qvd4tt42E5v7u3alZ2YA33wcbHGyYU4NnP3+cfPPGaBRr4aSZK0IH/uVyZabjer4mSBnhbefXMIuW+90/rb9+Zxgd61R62PfdzPYdZHxwJ9GQu0JEkl8Od+ZaLRdrMqThboeLydzLTYjk4GHB2Crt791q167O3Uxx2swQJ9KQu0JEkl8Od+ZdrDxO1B5pMF+q19ODqBcHTUeDcu1v3SkwL9evrjYg2TedQW6MtYoCVJKoE/9yvTzbOIWRXvFOi2EkfXrZYajAr0vjtFsFt1/a63Mx83fNBpyAT/xyzQyFdzS56sAsAGTdnMMsAsI8wyILKc72sW6JUZtdyq975ToOOOgu18jIsLdH+24YmPGz7oNCTcFmiEO2oANmjKZpYBZhlhlgGR5Xxfs0CvTN9ym1kV7xbon12Hfh0tNXWkQNfHoF9PftzwQach4bZAI9xRA7BBUzazDDDLCLMMiCxf29IGFuiVGVpuPatiXqC3Rwr0z6ZD//ZntdTLzyOOFOh6DfNrQw8fF48s0AkWaB2HDZqymWWAWUaYZUBk+YqCNmOBXpnJYeJf/5+uQPcXohsX6HH7rZ7fHi+94xnT48vYzW7vPXxc7b17iCPhtkAj3FEDsEFTNrMMMMsIswyILF/f0zoW6JWZHiaOmls9113veXoEuq/MTd/tb6DSL9/oj1+PC3Q3iePYx8UKjx7N7iHhtkAj3FEDsEFTNrMMMMsIswyILCfL2k8L9OrMDhNHo22PF+82swJd/dE06PZGKNtNd8D63RupdJM4jn7cz5PzqXtIuC3QCHfUAGzQlM0sA8wywiwDIsv5vmaBXpn5YeJuokVcr+4/Z3Ogu4twDNenG90kpXP0Vt5123458XH1J7Tzpk9Bwm2BRrijBmCDpmxmGWCWEWYZEFlOlrWfFujVmR8mbhvt/2Hv7XYbx9IF2bpXGjsPfGF0tTxdp3t8kdjVqUGd3XmjSUAwEvb7v9Eh+fFfFCV9aYftXBHAdFoWSdG1Yy3EEEvkPrL46C4c0cz92udmGcZ89UVXw9OAjuvUJz9ufQm0Ab2MAS3LYIOmbHQZQJcRdBkgXL4q0SYY0L8+o0cUvtgeiNwGNIITNQA2aMpGlwF0GUGXAcLlTFYFBnQBHM5dT57zeLd+EzsD+gQGtCyDDZqy0WUAXUbQZYBwOZVVDQZ0ATx9md03+hy7s5esEbkNaAQnagBs0JSNLgPoMoIuA4TLmaoKDOgSuPIS9I/7cxegDehlDGhZBhs0ZaPLALqMoMsA4XIuq2oM6CLYXXUJ+oKtEbkNaAQnagBs0JSNLgPoMoIuA4TLqahqMKCL4Mf9FZegH+/WH6JSg8htQCM4UQNgg6ZsdBlAlxF0GSBczlVVjQEtGRC5f/uQIP9pXhInagBs0JSNLgPoMoIuA4TL+RAyoCUDIvdbp3AO5D/NS+JEDYANmrLRZQBdRtBlgHA5H0IGtGRA5H7rFM6B/Kd5SZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyM3G/dwimQ/zQviRM1ADZoykaXAXQZQZcBwuV8CBnQkgGUW14ZJ2oAXUbQZQBdRtBlgHA5H0IGtGSA5PZqMoATNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkvutA7qIhHaiBsAGTdnoMoAuI+gyQLicDyEDWjIgcr91PNcgf+jb4kQNgA2astFlAF1G0GWAcDkfQga0ZEDkfut4rkH+0LfFiRoAGzRlo8sAuoygywDhcj6EDGjJgMhdB6zPFXx1nKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyIB+D+w3NZ+/p3b+8Y+r9ovNH+82D6lPa0HkNqARnKgBsEFTNroMoMsIugwQLudDyIB+e3abjkxC767bq93cgDagO5yoAbBBUza6DKDLCLoMEC7nQ8iAfmt+3G82N9+qH56+pAo6F9A/CyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBvQbU2dzdy34sNncXn0AA9qA/jmcqAGwQVM2ugygywi6DBAu50PIgH5j9pvNtn+x23z6eu0BDGgD+udwogbABk3Z6DKALiPoMkC4nA8hA/ptefoS6zeCx7u2pqsfNl1M/7ivftl8zXA7bNa9iq8fbh6q3918qxdTPzSbP8d77aEPS5u3173XP+kkiNwGNIITNQA2aMpGlwF0GUGXAcLlfMAZ0G9Ln8wTuq8VNgs6qqz9/X78JcPu3Tp7xwH9R7PFUUDXi0Rq6hdHAb3+ST2bOa/3X2TEewho5A8VERGRD4WB8LbsNwt3w9hF0Lb/1N8yrDeqQ7hO40P8UyVwU7nDbTWqXz/99XwU0Ltm+2599fQuHOufNGBAi4iIiHQYCG/L0qrn/qr0vnmzztomsquureO3W8V8iF2HIo5fzwO6O9p+vvnD2U8aMKBFREREOgyEt2UpoHfd2uVo4ep/25qNN3bjVdPjIt6OdqrZt6s2YvP+mvMooM980oABLSIiItJhILwtCwH99KW/mV1Tu1XWtq/3/Trm7fgI0yejzAN6dtuN8ebnPmkFZIH/ewho5A99W/yyCgA2aMpGlwF0GUGXAcLlS3PtGAP6bdkfB/RQwNGx8yJuvxTYZfGZgB5F8tHm5z5pBURuAxrBiRoAGzRlo8sAuoygywDh8hXFNsOAflsOx18iPJ+1h013M41nA9qA/lmcqAGwQVM2ugygywi6DBAuX1FsMwzot2V2G7t9VbujrO0WVhxnbTT09vmlAvr0Jy2DyG1AIzhRA2CDpmx0GUCXEXQZIFy+qtkmGNBvy/RBKs23+BZWJi9m7WEzvinHQkDvJmug28OeWQNtQBvQ8gpgg6ZsdBlAlxF0GSBczqRbYEC/MYfxNwLjrtDje2PcrlxSnnxJcBzQ8X7b5l0Lt4c5eReO409aA5HbgEZwogbABk3Z6DKALiPoMkC4nO83A/qNqb8S2K2Cbq8p98s6dt3dmWe31Wjjdrd4Bbq/h/NhM7kP9NFtox/OftIKiNwGNIITNQA2aMpGlwF0GUGXAcLlfL8Z0G9N/fSS/pHbka1HzwecPxml2Wwf167b+3j0AV3/vm7kffv07tmTCKebr3/SCojcBjSCEzUANmjKRpcBdBlBlwHC5Xy+GdBvTntbuumt6YImeY+ytrsJR7x9iG8TDgHdHe/z/xnCfDj4bPP1TzoNIrcBjeBEDYANmrLRZQBdRtBlgHA5X28G9DugTdxRs1Z9uxmtT55lbWzfbX5o+ncI6Lj4XL3qK/jQ3bFjYfP1TzoJIrcBjeBEDYANmrLRZQBdRtBlgHA5lW0NBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5f3sHIH/o2+JEDYANmrLRZQBdRtBlgHA5H0IGtGRA5H7reK5B/tC3xYkaABs0ZaPLALqMoMsA4XI+hAxoyYDI/dbxXIP8oW+LEzUANmjKRpcBdBlBlwHC5XwIGdCSgZH7rev5NwNaXgZs0JSNLgPoMoIuA4TL+RAyoCUDJLfZDOBEDYANmrLRZQBdRtBlgHA5H0IGtGSA5H6rgC4qoZ2oAbBBUza6DKDLCLoMEC7nQ8iAlgyI3G+Xzwa0vCzYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyF2HrA9QeXWcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgH4P/LjfTPj8/fIdt8e/ffoyHOph/ubj3fHvrgeR24BGcKIGwAZN2egygC4j6DJAuJwPIQP6PfCKAb359HX6pgFtQE9xogbABk3Z6DKALiPoMkC4nA8hA/odcTiq3XOcDOjb9sf9cUG/CIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdDviFcI6PqC8823nz2xYxC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqDfEa8R0NVBlzb5WRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqDfEaOAfry7+barvwM4JPK+u5R8qJc2xy+7d6fXmScBXb2ol1T3B6zXQFe7DWs8mh2r3/aLPfpNV04VkduARnCiBsAGTdnoMoAuI+gyQLicbzYD+h0xDeg/mm8THgV09w3B5kX77mydxiSgq/3qo/YHbL5EuOu2bzfdjb+92G+6cqqI3AY0ghM1ADZoykaXAXQZQZcBwuV8sxnQ74hJQNcXmZ/+ej4K6F1z9fmwacI33q02ntTuNKAPzbXk/oBNQB+668vxQxyzO2i/6cBmzmv9J5jwlgGN/IEiIiLyITEU3hHTgI4mngd09cY2XtXbNu/O+3kW0LFHv1ET0P0Wu/q3/Z3t4oej4xnQIiIiIgOGwjtiGtDTVc5dQHcroaN163ePe/dEQG+fhx334yUgu/4Au3rHftMBA1pERESkw1B4R0wDOi4KzwN6N6nl6t3f74+uF58I6NlV5ofuE6vNu2BuPmPhUSsGtIiIiEiHofCOuCCgp23cPcJw1rtHa6CPA7r/8mAV35PnIC4H9BHIAn+/RIjgl1UAsEFTNroMoMsIugwQLl+daj0G9DsiF9D/9b/mj0o58SXCcUBXv612ioMb0Aa0vDLYoCkbXQbQZQRdBgiXr2+1DgP6HZEK6ObGdLeT40w32rW3sZsGdLXnQ1T00dNYDGgDWl4YbNCUjS4D6DKCLgOEy5cW2jEG9DtiPaB3kzXQEcndlwCnxTsJ6B/37YNUpgHdfF9w190LbxLgBrQBLS8MNmjKRpcBdBlBlwHC5StDbYQB/Y44EdBRt1UVj+/C0a++2PaN3LP0KO+jgD5sbv7nvmvpyRoQA9qAlhcGGzRlo8sAuoygywDh8rWlNmBAvyOWArp9EncTwuP7QB+G+0D3kdwxDujuIYVHAV3t+s82nNsHqHQfZkAb0PLCYIOmbHQZQJcRdBkgXE4G27MB/a5YCujnfTxUe989vXvhSYTdOueOUUBXW8c7RwHdHPG236r+jPrbhA9egTag5cXBBk3Z6DKALiPoMkC4nC02A/pdsRjQVQ03fP4/EdD96/q6dBfQ04epdJs0tIc8Dujqh+7jhh0eng1oA1peHGzQlI0uA+gygi4DhMv5ZjOg3xGLAR2XiqtX3ern+urzZv6cwv14EccooPvFzccB3S8OaX/bX5A2oA1oeWGwQVM2ugygywi6DBAuXxlqIwxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgcv/2hiB/4PvAiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDI7cBTeBEDYANmrLRZQBdRtBlgHA5H0IGtGQA5ZZXxokaQJcRdBlAlxF0GSBczoeQAS0ZILm98gzgRA2ADZqy0WUAXUbQZYBwOR9CBrRkgOTmA7rAhHaiBsAGTdnoMoAuI+gyQLicDyEDWjIgcr9FPhvQ8hpgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDInedsz6D8NVxogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA/pDs9t8/n763acvm9tX+mBEbgMawYkaABs0ZaPLALqMoMsA4XI+hAzoD40BbUD/NE7UANigKRtdBtBlBF0GCJfzIWRAf2gMaAP6p3GiBsAGTdnoMoAuI+gyQLicDyED+kNjQBvQP40TNQA2aMpGlwF0GUGXAcLlfAgZ0B8aA9qA/mmcqAGwQVM2ugygywi6DBAu50PIgP7QHAf0blNz863+uQno+hefvnZvP94NLx/vbr7V7z6s/P4UiNwGNIITNQA2aMpGlwF0GUGXAcLlfIEZ0B+aeUAfNh3b5yag/5/7eNlutmvfbS5MV6H8R/tW9/tms9HvOzZzkL/ubQIa+dNERETkA2MufGhmAf14F68PcQ26Cuho5V2bzLvJy/qq8/b56a/mF9vYbfr7HgNaREREpMNc+NDMAnrfrt2ofqiXY9QBvR29rsp49jL2rn6I5RrxQ//7AQNaREREpMNc+NCc+hLhoQvoNqh/3NfpvJu+7Ht6OMquvgTd/37AgBYRERHpMBc+NMsBXa/BaAP6drTh7GV/4bn6fRfMzSXs/oL0CsgCf79EiOCXVQCwQVM2ugygywi6DBAu5wvMgP7QHAV0czeNzaYP6HEZx3Xn/mUfyj/uR5eWDWjkT3tPOFEDYIOmbHQZQJcRdBkgXM4XmAH9oZkH9K6N54MBbUBfihM1ADZoykaXAXQZQZcBwuV8gRnQH5qjLxG2r/dnAnqyhGP0+wYDuiycqAGwQVM2ugygywi6DBAu5wvMgP7QTAO6Cub25f6aNdBVQE8eWGhAl4UTNQA2aMpGlwF0GUGXAcLlfIEZ0B+aaUD3l5KrVG4Dun37+C4ct6NQ7n8fGNBl4UQNgA2astFlAF1G0GWAcDlfYAb0h+boCnRcSj7Eg7iH+0DvpveB7l8+dJvfdgcYXZleA5HbgEZwogbABk3Z6DKALiPoMkC4nC8wA/pDM1sD3T5RsPkqYRvQ9S/6kD56EuFDv199nPrbhA9egS4NJ2oAbNCUjS4D6DKCLgOEy/kCM6A/NLvR/TM+fe3vp/Hp33dtOP/e/mY73b654DyEclPamza7DejCcKIGwAZN2egygC4j6DJAuJwvMAP6QzML6PYX23YtRnMXjl3cm66luU90+3IcynH/6Nuj358CkduARnCiBsAGTdnoMoAuI+gyQLicLzADWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNy/vQnIn/aecKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJwMhtQBM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZILmtZwAnagBs0JSNLgPoMoIuA4TL+RAyoCUDJDce0CUmtBM1ADZoykaXAXQZQZcBwuV8CBnQkgGR+w3y2YCWVwEbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQueue9Tkqr44TNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAi954DebQa2Sxs83m0euv+9gkMc8mH2m23887crD/d49/l7/LRvDtu9+ll+/OP7c+KPe+k/7wSI3AY0ghM1ADZoykaXAXQZQZcBwuV8CH2UgN58+nq8QSqgD8dVHr96iH/+dWVh7je3s18Dbv8AACAASURBVLN9kYTexWGy/7+DF/vzToDIbUAjOFEDYIOmbHQZQJcRdBkgXM6H0PsO6D5F95vNzbejDRKXZ5vOfWh37o6/i4Pvlj7jggPWh/tx357h05eXKehd7igv/uedAJHbgEZwogbABk3Z6DKALiPoMkC4nA+hDxLQdUEfr+JIBHR1nNv5z1Xz3g7/XMmP+zpL62zuTuWwyRxnTi6gX/zPOwUitwGN4EQNgA2astFlAF1G0GWAcDkfQh8loH/cLwTl9QFd7TGqyF1U708V5qHZadL3u8X1JleSCuiX//NOgchtQCM4UQNgg6ZsdBlAlxF0GSBczofQRwnoKv9iAUK9NKEL1Nka6MPk24bjDUeHHC9jaKq8Xnwx/rbiBYd7vLv51q2V2NWb9GfXbbo9vc9459k5Dp+4774I2J/NeNPqlLexyeyq/Mv/eadA5DagEZyoAbBBUza6DKDLCLoMEC6vlM4ZPlpAd1/Vay6mTgK6XkVR0yZkt+HkOu70Cm3dqZ++nijMtcNVhflH+/OP+7o6+2Senf/kXNt9RjtPz3H8iUcBPTlWdcq/3yN/XsdmzkX/B/xZ3iSgkb9MREREPjLvuRcWlnDsIiHbfyYBvWuup3YLkOPVfD3yYXZZ9bBprx+P1jhccLj6cu32+emv5+4mdvuly7VH5xr7DDvPznH+ieO7cEyP1UTxQ1TwONxf/s/rMKBFREREOt5zLxx/ibC/0rvftBd+H0b/u52/8zxfJj0P3bhku1SYq4er/ne49/P2eXnV8/G5xj7jH2YHHX3iNKBnx6oDutm1OuXxdeKX//M6DGgRERGRjvfcC0NAd/eG69f4NquAJwG9H9ZIP4x33Y0vQe9noVsd5kRhrh5uWLHx9KWt3eOAPj7XfmH0dvbnNQedfuI0oGfHGr5ROV30/OJ/Xo8BLSIiItLxnnth8iCV9mZxt/17VfONA3py14pqwy4B9+PEnIfu6cJcPdxwWbv+vt3CcZ9PnevzcLl3ftDZbTfGAT0/Vpz20V/38n/eaZAF/n6JEMEvqwBgg6ZsdBlAlxF0GSBcPpc7p/kgAR2ZGNdfG0alN2/M53aR8HTfdq8LC3P9cENhto8hnB/35Lk+DwE9O+j8LnPjgJ4fa3i9z12BvvTPOw0itwGN4EQNgA2astFlAF1G0GWAcPlc7pzmfQf0bCnuTwf0/Ft2sVjhJwozHkN4dNyT5/r8qgH94n/eaRC5DWgEJ2oAbNCUjS4D6DKCLgOEy+dy5zQfNaDnSziOknDhtnJL93lrb2ZxtjC3s8M8tG/0S4nHG9TXpZfP9XkS0ON9LgzobgnHYkC/9J+3AiK3AY3gRA2ADZqy0WUAXUbQZYBw+VzunOZDBfQla6CbbYZFwkeHHC9yaL+Mt7ZIePFwo4eR3HYnNgrZ5rBn10DPDzr5xLNroBcD+qX/vBUQuQ1oBCdqAGzQlI0uA+gygi4DhMvncuc0HyqgJ3ejuF2+C0fE5fTuFAMXPOv6gsP1hbnrQvYwviFzXPhdPNfpzpODTj/x9F04bp9PB/QL/3krIHIb0AhO1ADYoCkbXQbQZQRdBgiXz+XOaT5WQI9uAXfqPtCH5p3+ASqzOyXXcXs7/3ntRsmLhxsuIncXfOv77HXReYhb7i2e6/Pk8vX8oKNPPHEf6F13H+jlgH7ZP28NRG4DGsGJGgAbNGWjywC6jKDLAOHyudw5zccK6KueRBhP2p5/va++tUfzm/p5e5NFE2ce1Tc6XFeY8RjChvqdpmXrlI6oXTrX8Q/zc5x+YntHjVNPIjwR0C/6562ByG1AIzhRA2CDpmx0GUCXEXQZIFw+lzun+WAB3d/arum+SUDX5VrTV2PLvAUPwx0n+qehLBTm2uG6wtyP1m0MW4yeSnJ0ruMf5uc4/cRDnGC39eRYKwH9kn/eGojcBjSCEzUANmjKRpcBdBlBlwHC5XO5c5qPFtDNldWuGicB3TfneMPF7xLGO0MkLhbm2uH6CJ3cdrmt0FHRHp/r8zRPZ+c4+cRD8854t81oJfTJgH65P28VRG4DGsGJGgAbNGWjywC6jKDLAOHyudw5zXsOaHm/IHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcv70FyF/2rnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoycDIbUATOFEDYIOmbHQZQJcRdBkgXM6HkAEtGSC5rWYAJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyQ3FdBFJ7QTNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkZvLZwNaXhds0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5K7D1uenvDpO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQL8j9puaz9/j1ePd5mG2Qfzq+I0f982et9d82MLhrwCR24BGcKIGwAZN2egygC4j6DJAuJwPIQP63bDbdERCXxzQbT5fmdAGtAEdOFEDYIOmbHQZQJcRdBkgXM6HkAH9Tqgr+OZb9cPTl+Ei9DKz9K33bF7Xe151EfonQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgH4f1PHbVfHhTAfPAnq/+fS1//FnripfAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBvT7oErfbf9iNyTxEtOArtK7z+0f99QlaERuAxrBiRoAGzRlo8sAuoygywDhcj6EDOh3QVXBzfqNoCrkbXTyqIj31RZLa6DHAV2ld7v6o9pm02X4493Nt91kifRwrOfmgveo3sc7roDIbUAjOFEDYIOmbHQZQJcRdBkgXL4y10YY0O+CSOaj3z1URdyGddPJi18i3I3bu//d6OuIVUD/Uf/83wvHataO1LRvTXZcAZHbgEZwogbABk3Z6DKALiPoMkC4fG2vDRjQ74KlxctN4R42w3Xih+WAPowvIAe7+E27mLq+qLx9fvpr6Vjtpt2y6+mOA5s5L/WHr0IGNPIHiYiIyC+B4fAuWFr13BRuv0CjWZyxfBu7uH306AD9Bv32zQXlE8faxjHq/Wc7DhjQIiIiIh2Gw7vgZEA3y5Wfm68Hbk8+SKVbhtFdNu5XQlc/3Y7Whywcq/1V+2q244ABLSIiItJhOLwLTgd0W8uH0RXixUeg7IeErnp62/+26uP5deXxsXbj1c7zHQcMaBEREZEOw+FdsD8Z0O26iwjdlYB+fo5vAN5Onky4mQT08bEmt/A42nEFZIG/XyJE8MsqANigKRtdBtBlBF0GCJczzRYY0O+Cw6kvEdZvVSkbqy7OBXTdw1WInwzo42MZ0Aa0EzUBNmjKRpcBdBlBlwHC5auDrceAfhfMbmO3b5cu191bVe1DlO9yQE8WYTTHaQt5/Mt2+6NjHQX00c30ToDIbUAjOFEDYIOmbHQZQJcRdBkgXL6wehYwoN8F0wepVCHb3yYjvs/XfqdvOaCne26Pnkc42v7oWF1+NyV9xYMMEbkNaAQnagBs0JSNLgPoMoIuA4TLl5faHAP6fXAY38s57grdde9hc/M/9/HjUkBP9uyqeLL+YrT90bG6LwvGxeelZ7Isg8htQCM4UQNgg6ZsdBlAlxF0GSBcvibVphjQ74P6TnRD5Y6+Mdi07T8nN5s7epT38DIKuH8OSvXe6FL2iWNt4zPrbzHOdlwBkduARnCiBsAGTdnoMoAuI+gyQLicDzcD+p1Qf4GvKds6iEcLnp/jDnXRtYtfIqwfNNg3cbfqo+nf+piz7efHOn4S4WjHFRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/luM6DfC/3TUDbtxd/x7Zvbm9wt34VjfPOMh9mxHp6n28+P1W/aL4WeHOgkiNwGNIITNQA2aMpGlwF0GUGXAcLlfLYZ0O+Htl67Zcjj2ze36ylO3cau697h1/XF6Nm15sVjPTdXn0fLqMc7roDIbUAjOFEDYIOmbHQZQJcRdBkgXL4m06YY0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOT+DQT5g94nTtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZGLkNaAInagBs0JSNLgPoMoIuA4TL+RAyoCUDKLe8Mk7UALqMoMsAuoygywDhcj6EDGjJAMntxWcAJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyQ3EtClJ7QTNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkRvKZwP6rc+gALBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGRu25bH0P46jhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5AB3bLbjLn5dn6Px7vNw8ufx4/7zebT1/7l05fN5vP38/tsr/iIC0787CaI3AY0ghM1ADZoykaXAXQZQZcBwuUr6mmGAd3yngJ6lMPVhxjQBvSr4kQNgA2astFlAF1G0GWAcPmKepphQLfszncqQhPQw6nsNy8f0BdgQBeEEzUANmjKRpcBdBlBlwHC5XwpGdAt7yig/3bXr+GoV3AY0Ab0q+JEDYANmrLRZQBdRtBlgHA5X0oGdMs7Cui/f+l7+PHu5g8D2oB+VZyoAbBBUza6DKDLCLoMEC7nS8mAbjkO6CZL6yUUQ53WK5I3t9Uv6zXSEZmnthq+CDh+WQXxt3q19ek6rY+3789lv9n2JzY77GH4zIVz2I2Wcs/f7uv4cHIXA7ognKgBsEFTNroMoMsIugwQLq+2zioGdMtiQP9+H98pbN9qv2h48+c0oJe3WnzZXFFeXZRR1+5jt4bj6cunr92JTQ/brO3oevfoHA79tyG3C2+3dTw5xGyXeUBv5vzEf+nLwQIa+WtERETkV8F2aFkM6OZScR2azWXafX31OUp2EtDTrXbx7yE2nr2sryJvn5/+On0edUA/femvFX/+3p7Y4mHbV92dO7pzqD6l2ecQJzo/xbaOJ4eY7WJAi4iIiJzCdmhZDuimIqvwrN+rorJp1zqkpwE92yrSM344fnlmRXO73iK22lc/704ctm36+lp1fw7VD/XG++42fLO3J6c4PcRsFwNaRERE5BS2Q8v0PtB1PbY12rxX12XfmNUbk4CebDWE+K7u7dnLrlpP0wR0u4ajXsHRHmF2nP1krfL4HCZ9fugCenKKsdN+ebnzwYAWERERWcV2aFkM6Lji3Lbmrns56dDZVk/DHTTq17OXFzzDpAnodrd6BUc08fw401Cen2lLvV6kDejJ23ESi7cd6XbxS4QF4ZdVALBBUza6DKDLCLoMEC6vN9kaBnTLibtwNHRp3AX00V04ht/+uB9l+M232ctLA7o61u1zrOCIE5sdZ3QuC2f63N6xo6YN6MnbzUnMDjHbxYAuCCdqAGzQlI0uA+gygi4DhMvrTbaGAd1yNqBHN1t+uYBuq3W4OV17vPp2d7GCIxXQu/aoh8sDerqLAV0QTtQA2KApG10G0GUEXQYIl1dbZxUDuuXlrkBvF48RXBrQ1Yc9xAqOPqDHxzkT0PtN/yXESwN6tosBXRBO1ADYoCkbXQbQZQRdBgiXV1tnFQO65ZqA3q0G9CxtJ9d5L13C0azhaFZw9AE9u17c3w76dulM279lJaCnh5jvYkAXhBM1ADZoykaXAXQZQZcBwuX1JlvDgG45G9Cn78Ix2Wo3/hrf0cuLA/rx7uY/zQqO/i4ck+N05xJbn7oKXmXx6YCeHGK+iwFdEE7UANigKRtdBtBlBF0GCJfXm2wNA7rlfED3t6Cb3wd6slX3pJP2ou7s5cUBXW3+r7v2CSr1P8fHaT51cZFzf638EPcTWQ7oySHmuxjQBeFEDYANmrLRZQBdRtBlgHB5vcnWMKBbzgf0yScRHn2Brz5S9/SS6cuLA7r+sO7Jht2TCGeHnTyJcHYVvF38sRbQ00PMdjGgC8KJGgAbNGWjywC6jKDLAOHyepOtYUC3TO8DvbAwYtjm5s+1gK4fmD3cTHr28vKArraMrxa2AX3isM1783Po7tnx6d93S39IexLzQ4x3MaALwokaABs0ZaPLALqMoMsA4fJFibiIAd1ySUDHTTNu2ydtnwjo7tYa/Zf+xi8vD+j+a339pfHZYQ+b7hr1qdTftgc5EdCTQ8x2MaALwokaABs0ZaPLALqMoMsA4fJ6k61hQCdYfIhfWSByG9AITtQA2KApG10G0GUEXQYIl/MhZEBfTH8jjKOH+BUIIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IG9MXsN8PKhzPrMH59ELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoC+m+1rfYeMKDgP6F8KJGgAbNGWjywC6jKDLAOFyPoQM6Ms5dN8wnDzTpEwQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgr2E33EeucBC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyL3bxTIX/NucaIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJwMhtQBM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZILmNZgAnagBs0JSNLgPoMoIuA4TL+RAyoCUDJPcrBrQJ3eFEDYANmrLRZQBdRtBlgHA5H0IGtGRA5H7VfDagO5yoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGRu65cH5/y6jhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5AB/Wr8uN9sPn3tXz592Ww+f39+frzbPEz/t9r0H9+vPvxuM+bm2/EW08+Yndz6J+4XDzgCkduARnCiBsAGTdnoMoAuI+gyQLh8YXMtYEC/GnVAb7b9yypkTwX0rnnjSn4qoM99ogFdEE7UANigKRtdBtBlBF0GCJcvja5jDOhXownooVP3k1eTrE0G9Lmdlq89X7SzAV0QTtQA2KApG10G0GUEXQYIl9dDag0D+tWoAvpvd/0ajnoFhwF9HQY0ghM1ADZoykaXAXQZQZcBwuX1kFrDgH41qoD++5d+Dcfj3c0fBvR1GNAITtQA2KApG10G0GUEXQYIl9dDag0D+tWoAnq770N1v9nultdA72MVc9O6u9GC5iq5v9Wv/9nH7G5zOxz+uIHrD4yjRbVP10DXa7Dbd8af2Px6+K5j8/LWgC4JJ2oAbNCUjS4D6DKCLgOEy9fXXYcB/WrUPfvYreF4+vLp69mAPvTfCaw7t7lmvdl8/r/37YXkH/fjK8qLAf37fezfvDX7omJQn88ooLtft8dqX978aUCXgxM1ADZoykaXAXQZQZcBwuV85RnQr0Yd0E9f+qvBn7+fCOi+hatXzb+HuAZdXwzePj/91V94PkyqdjGgmyqul1tHgQ+fceh/1ezV7byLXx828RG7+Hd3dFuPzZyX/8+1wCsHNPI3iIiIyK+HFfFqtCsqolT31c/nArpfN7FvrhN3sduH82QFx4mAbi5RVwU9/6Rdf6zmkvhufI36ebTptj0BA1pERETkBFbEq9EEdLuGo17BcTagew5dQG+7Az08z1dwzO4D3W7Qr8RoL2GPAnpSxLvpheg2zvuCr45kQIuIiIgsY0W8Gk1At2s46hUclwZ0vXSjDeg2mOPS82HewAsB3V6i3h8F9H4zfqhL+4lPw01C6j2ql7f9+wa0iIiIyDJWxKvRBHRVpnWU1is4LgjouFPGZh7Qkc7TFRyn7sLRcBzQzW2oN6MLzvVPP+5HSTwJaO/CURB+WQUAGzRlo8sAuoygywDhcirwGgzoVyN6tr4ZXazgOB/QuzaeD7OAbhZvzFZwXBnQwy0+HoadZwE97G9Al4QTNQA2aMpGlwF0GUGXAcLlZOI9G9CvSPTo05cqWZsVHBd8ibD/xuE0oJuLz4dZMF8b0M9dQ2+fRwE9Wtbx7BXoMnGiBsAGTdnoMoAuI+gyQLh8edXNMaBfjTZP981zSYZqPRnQ7b0znhcCul7DsZvEbiqgmyNthpYfFk03DCdwtAb6CERuAxrBiRoAGzRlo8sAuoygywDh8mVFt4QB/Wq0Pft4d/OfL6N7x50M6L5/q5CdBXT11v++Hx4X2HBVQA8Xl/fteur2LhyTTj59F44jELkNaAQnagBs0JSNLgPoMoIuA4TLl1fdHAP61Wh7tmrXf92Nbhq3dgW6e2DKZn7peLf5292sl6+7At2n8m50Bbp/gEp78bna9Lbd34AuBydqAGzQlI0uA+gygi4DhMvXtt2AAf1qdD3b30HuZEDvu6ebtCs9jgP6ML0L3XC0pQ9cCujqf5sk3m/adSVxPXu36b9NGCfS5rUBXRBO1ADYoCkbXQbQZQRdBgiXE3nXYkC/Gl3PVu3a1eqJgD7Ed/u6m2J8+vdd3L9jCOjqrdkKjtl9oOsdVtdAdzfhiGvM7Sd2d7frbs7RHfTmTwO6HJyoAbBBUza6DKDLCLoMEC7nK8+AfjW6nu2/m3cyoJuevX1u+3U7LKgYvv13fL35yoBuW7nr4u4T21tP998lbCL+1rtwlIQTNQA2aMpGlwF0GUGXAcLlVOA1GNAfg/18Bccbg8htQCM4UQNgg6ZsdBlAlxF0GSBczoeQAf0hiCexvCMQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgPwSP83twvDWI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQH4HmcYbvCkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDOj3T30fvHd2AdqA/oVwogbABk3Z6DKALiPoMkC4nA8hA/r9s39//WxA/0I4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELl/e12Qv+ED4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSgZHbgCZwogbABk3Z6DKALiPoMkC4nA8hA1oygHLLK+NEDaDLCLoMoMsIugwQLudDyICWDJDcXn0GcKIGwAZN2egygC4j6DJAuJwPIQNaMkByv1pAm9ADTtQA2KApG10G0GUEXQYIl/MhZEBLBkTuV8xnA3rAiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELnrzvU5hK+OEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwI/WoB/fRlM+L28h33m5tv09/8uL/2GM/Pj3ebhws3rQ//6Wv/sj7xz9+v+azX5Mc/zpwKIrcBjeBEDYANmrLRZQBdRtBlgHA5X0oGdMs8oNt8vvIoVwb0Zjve8/0E9O7sqSByG9AITtQA2KApG10G0GUEXQYIte4CPwAAIABJREFUl/Op9AsG9FWXjHtmAV3n7UN7wOQRz9AE9NCp+40BPceARnCiBsAGTdnoMoAuI+gyQLicTyUDumUW0PthecV+c/FV5WuoAvpvd/2HNFfODegpBjSCEzUANmjKRpcBdBlBlwHC5XwqGdAt04AeH6Yq3de4BF0d9u9f+jUcj3c3fxjQMwxoBCdqAGzQlI0uA+gygi4DhMv5VCohoOvlxaPv6y29vF0J6CEnx3tWxfttN1kiXR+hXwN92IxXOM8+sqEK6O2+D9X9Ztt/TBw2TqfeqlneMRxs/PbC+Y8/6+lLt/dDu2N/EuPNZh+yj6Xfq5fdEbkNaAQnagBs0JSNLgPoMoIuA4TLa6mzTgEBvZt+F3D55c2f0yUcu6Obcgx7Np3bXDKufv7vbsPmk9uA7r7K2L412bGjrtbHu750P31tA/rQf3lxG1v9fj/ee/r28flPPqs6j7+3p7Jtirnv4slmsw9ZCOjNnCv+T5LnVQMa+QtERETkV+RX64jjgN5FK7f/nH45LebD5BYZ3YG28U69R92j2+envw6b4ZrzQxfQselh+IzRjh11QD91azge7z5/j4CujtB1dH1CzVcNHyLJt89Hb9exOzn/6Wc1Ib9tj1K3erX7wmbzDzlewmFAi4iIiHT8ah1xFNBVMkaj7ruCPPFydsk5LsOOll30qzPih65k+w9sorN/bzv5jIfpERradRNRqvvq5117+bc9j9h5fDeQhberQ96Oz3/2WXURN68P3Z9yWDql+YcY0CIiIiKn+dU6Ynwf6PZaa1ucTbDOX+5HL2drNvoj9Ws9uqjc1b8apXezYxwvgrQ7arya7djR7NCu4ahXcMyr9dAFdL8yenaJvH57fv6zz+qCePgi5OIpHX2IAS0iIiJykl+tI+YBPboiXVfh2svjRc/dauB2NcS2/2216fy68vjS7qQ/5zt2NAHdvlmv4JjuVa8QaQP6dmHn7u3d9Pznn9X/fZH33dnONzv6EO/CURJ+WQUAGzRlo8sAuoygywDh8nrsrPELBvRkCUdfjhGHs5ejrY8f5d2yi4IePZlwMwno9hj9CuaH2TnMd5ye2b7ZdB8Xx6Nau2/7dQG9nZ7g+O35+c8/60RAzzc7+hADuiScqAGwQVM2ugygywi6DBAur8fOGmUH9OzlyUNWrXoyoJ8Powa9OqDru+HFCo6uWndtHR+WA3ry9vz8DWgD+nqcqAGwQVM2ugygywi6DBAur8fOGgUFdF2Fs5cnr0DPl1NsxwfqfvnQf8RDVPSpgJ7dzmP8+2rbh1jB0X+JsP9e4VJAT99euAI9+azTAT3ZzIAuGidqAGzQlI0uA+gygi4DhMvrsbPGrx7QZ9dAD9+mmwb0/Frx/HmEo1tq1AuR28XI0zXQzaedepBhW6375iEo2/aEhq/9LQf07O35Gu75Z50O6BP/vwwDukCcqAGwQVM2ugygywi6DBAur8fOGr96QE9uu3F79PLUXTgO47tAd1U8WeMxCujD5uZ/7uPV9C4csxt/TOkXfdz8p1nBEdXat2wsHJm37fzt47twTD7rREDPNzOgi8aJGgAbNGWjywC6jKDLAOHyeuys8csHdH+7ud30xs+7xfsojw4z3LM5crN/DkpcBR4FdNWf/5zcuK77kFjGPNvxedhrG7/8191w8+X+/OsnuTwsXYGevD2/j/Xss04F9GwzA7ponKgBsEFTNroMoMsIugwQLq/Hzhq/fECfeRJhu6b46EmE9b0uhrtePLR71pu2Tx0ZPxVl398t+tSTCEc7dnTVWu88evxf+4zA5ruCxwE9f3vpSYSjzzoV0LPNjgJ6P36CzCKI3AY0ghM1ADZoykaXAXQZQZcBwuX12Fnj1w/o9r4VoweiLL28+XO20GJ8p4r+fnWj1+OArn5ug7P9bbdpvxR6cqD+A7aTnXd90zb32fj3XfsQ7knbzt4+Ov/pZ50M6OlmRwFdX99e/upjByK3AY3gRA2ADZqy0WUAXUbQZYBweS111ikgoOPOyUMez142SXq7cBu7LjIfpgeaXmvutmyXPPS/nSboeMfR524nO+/6f5tdT6yumL7dHfu2fyj45LNOBvR0s+MPORyd7gxEbgMawYkaABs0ZaPLALqMoMsA4fJa6qzzqwV0sZxftvyiIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQH9o+ttpLF15f00QuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgPzT7zbBk5OHMti8KIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IG9Iem+wbiYcOu4DCgfyGcqAGwQVM2ugygywi6DBAu50PIgP7YHLq7aSw+rOX1QOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgP7o7I5ukEeAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuX97TZC/4EPgRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JKBkduAJnCiBsAGTdnoMoAuI+gyQLicDyEDWjJAclvNAE7UANigKRtdBtBlBF0GCJfzIWRASwZI7pcOaBN6ASdqAGzQlI0uA+gygi4DhMv5EDKgJQMi98vnswG9gBM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiBy18Hr81NeHSdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgL2C3GXPz7fwej3ebB+RELvqgH//4fuXJnd0EkduARnCiBsAGTdnoMoAuI+gyQLh8NqFOYkBfwAcP6N3mswFtQJ/EiRoAGzRlo8sAuoygywDh8rmEOo0BfQHzAn0zjk8kE9AXYEAXhBM1ADZoykaXAXQZQZcBwuUr82iEAX0BBvQRiNwGNIITNQA2aMpGlwF0GUGXAcLlK/NohAF9AQb0EYjcBjSCEzUANmjKRpcBdBlBlwHC5SvzaIQBfQHHBfrjfrN93tcLkbfdr6rm3Gxuq18OS5NPbfXp69LLx7ubb/Ui55VyXQno2YEP/afuY8H0w3D8fp/D5NR2oxXeBnRBOFEDYIOmbHQZQJcRdBkgXF5tnVUM6AtYDOjf76NM27fa7/fd/DkN6OWtFl9WgfvH8NaFJ9KV7vTAT1+GrxmOAzqO3+4z3qiN6U1X1AZ0QThRA2CDpmx0GUCXEXQZIFw+E4ArGNAXsBjQzaXiOkK767y3z9Gxk4CebrWLfw+x8exlfQ15+/z011Un0pbu4oGHV22gt8ef7DN8eLPRYfnmHps5if+K1/MaAY2cuIiIiPzSGBQXsBzQTWFWbVy/VwVn06p1SE8DerZVv97iYenlubXKpwL6+Eht1TdrOoaAjr2XNtp3d+eLlwa0iIiIyCkMiguY3n65LssqjftVGLFOou3P6o1JQE+2Gvp3V/f27GVXtFedSHzQ7Ej76UrmIaDj+PHr/fJy54MBLSIiIrKKQXEBiwEdV5zbDt11L9tU7gN6vNXTl76Q69ezl5fcUONEQM+PNLtQPQT0+DL14r056mUeBrSIiIjIGgbFBZy4C0dDl8ZdQB/dhWP47Y/7UYHefJu9vCygF5dwzI40OpvxXtOAnm8Ut/GoWQroI5AF/n6JEMEvqwBgg6ZsdBlAlxF0GSBcPtNdKxjQF3A2oIeXLxjQbdEOt6Z71YDetR+2vITjCERuAxrBiRoAGzRlo8sAuoygywDh8mrrrGJAX8DLXYHeLh4j+KmAHh8pE9D77g54y18iPAKR24BGcKIGwAZN2egygC4j6DJAuLzaOqsY0BdwTUDvVgP6dnqMSef+1BKOpWLuTmt9DXSzUXubkGcDukCcqAGwQVM2ugygywi6DBAun+muFQzoCzgb0KfvwjHZatdt1R128jIf0PMjdWfTfv5yQE826s+0KmkDujCcqAGwQVM2ugygywi6DBAun+muFQzoCzgf0P0t4ub3gZ5s1T3ZpL3gO3v5EwF9fKTmcw/z+0Av3Sy62ai/hH6Iu3sY0AXhRA2ADZqy0WUAXUbQZYBw+Ux3rWBAX8D5gD75JMLpVrtYadw9YGX68icCeuHAoycRts9TmQX0dKP2UYa7jQFdHE7UANigKRtdBtBlBF0GCJfPdNcKBvQFTG+/XJfmURp329z8uRbQ9TO9h3s4z15efR/o+uDtTicOHLl9iG3nAT3ZqLuRx6d/340OexpEbgMawYkaABs0ZaPLALqMoMsA4fI1NTjFgL6ASwI6bppxW70eHtp9aqvhK3/jlz8T0EcHbqN5eHF7FNCzjXbx4sLlJIjcBjSCEzUANmjKRpcBdBlBlwHC5TPdtYIB/cIsPuDv1wOR24BGcKIGwAZN2egygC4j6DJAuJwPIQP6Rehvg3H0gL9fFERuAxrBiRoAGzRlo8sAuoygywDhcj6EDOgXYb8ZVkWcW4fxS4DIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAH9IjzexZ0uDpsyVnAY0L8QTtQA2KApG10G0GUEXQYIl/MhZEC/DIfui32TJ5r8uiByG9AITtQA2KApG10G0GUEXQYIl/MhZEC/FLvhLnIFgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELl/ewWQE/9YOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkYOQ2oAmcqAGwQVM2ugygywi6DBAu50PIgJYMkNzmM4ATNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkvulA9qEXsCJGgAbNGWjywC6jKDLAOFyPoQMaMmAyP3y+WxAL+BEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3HXw+iCVV8eJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQM6Dfj6ctmxO3lO+43N9+mv/lxf+0xnp8f7zYP12w/BZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA/rNeLGAbvP5yqMY0BI4UQNgg6ZsdBlAlxF0GSBczoeQAf1mVAF91SXjnllA1/380B4wecTrQeQ2oBGcqAGwQVM2ugygywi6DBAu50PIgH4zXiqg95tPX/sff+aq8jUgchvQCE7UANigKRtdBtBlBF0GCJfzIWRAvxkvFNDjw/y4py5BI3Ib0AhO1ADYoCkbXQbQZQRdBgiX8yFkQL8ZSwH9eLfZDBeUF1/ergT0827z+fvRno93N992kyXS9RH6NdCH+p3tiY88BSK3AY3gRA2ADZqy0WUAXUbQZYBw+WysncSAfjMWAno3/S7g8subP6dLOHZHN+UY9mxyugroP+qf/7vbsPnkNqC7rzK2b012XAGR24BGcKIGwAZN2egygC4j6DJAuHxNt00xoN+M44DeRSu3/5x+OS3mw/gCcn+gbbxT71FfVN4+P/112AzXnB+6gI5ND8NnjHYc2Mx5mf8EZ3iNgEZOXERERH5pDIo34yigq6SNEI6vBZ5+ObvkvG+SdrTsol+dET9U/9tcUO4/sFno0b+3nXzGw/QILQa0iIiISIdB8WaM7wPdFHG/FuPHfV21s5f70cvZmo3+SP1aj24Fxq7+1Si9mx3jeNHI3VHj1WzHAQNaREREpMOgeDPmAT26Il2H7NrL40XP7WXoZptq023/22rT+XXlw+hq82682nm+44ABLSIiItJhULwZ8yUccWG4oc7X2cvR1seP8m7ZRUGPnky4mQR0e4yI5ua303OY77gCssDfLxEi+GUVAGzQlI0uA+gygi4DhMuXV9scA/rNuC6gZy9PHvLT19MB/XyoX7ZHMqAlcKIGwAZN2egygC4j6DJAuHxpsx1jQL8ZKwFdXyOevTx5BXqyCKNZ7jzas/vlQ/8RD1HRpwJ6djuPkyByG9AITtQA2KApG10G0GUEXQYIly+sngUM6DdjHtBn10APX/CbBvToVZPA8+cRjm6pUX83sP1+4HQNdPNpVzzIEJHbgEZwogbABk3Z6DKALiPoMkC4fGH1LGBAvxlHt7Eb33bj9ujlqbtwHMZ3ge6qeLL+YhTQh83N/9zHq+ldOGY3/jgLIrcBjeBEDYANmrLRZQBdRtBlgHD5suhZwoB+M07fB3o3vfFz/zI2n90Hur6ZR3/P5ijg/jkocdl6FNBVJ/9zcuO67kPizhyzHVdA5DagEZyoAbBBUza6DKDLCLoMEC5fHW89BvSbce2TCPfxgO2jJxHWDxrsmzhSeReb1l8KfJg+FWXf3y361JMIRzuugMhtQCM4UQNgg6ZsdBlAlxF0GSBczhVcjQH9ZhwHdBPHkweiLL28+XO20GJ884z+fnWj1+OArn5uH1nY/rbbtF8KPTnQSRC5DWgEJ2oAbNCUjS4D6DKCLgOEy1fHW48B/WYsBHRzDXmUx7OXTSnfLtzGruveh+mBpteauy3btRn9bw/1ltulHVdA5DagEZyoAbBBUza6DKDLCLoMEC6fy53TGNCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDk/u0VQE78Y+FEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkoGR24AmcKIGwAZN2egygC4j6DJAuJwPIQNaMoByyyvjRA2gywi6DKDLCLoMEC7nQ8iAlgyQ3F5/BnCiBsAGTdnoMoAuI+gyQLicDyEDWjJAcr90QJvQCzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuV8+nw3oBZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGRuw5en0T46jhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABfR0/7jebT1/7l09fNpvP31e2329uvj0/P95tHs4ceLxJ/SFjVj+h2Xx76aHXfncNiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0NfRtO2Qq1WHGtCvhgGN4EQNgA2astFlAF1G0GWAcDkfQgb0dTRtOwTt/lzeRkBfwELRHsbXutfPaTWgXwNEbgMawYkaABs0ZaPLALqMoMsA4XI+hAzo66hi9W93fdfWKzgM6FfDgEZwogbABk3Z6DKALiPoMkC4nA8hA/o6qlj9+5e+Vx/vbv4woF8NAxrBiRoAGzRlo8sAuoygywDhcj6EDOjrqGN13zfzfrPddS/q5dCj4m1e3s7XQB824yXUu2aFcxT22YCeHX90pCag96dfL316/7vxOcx3XAGR24BGcKIGwAZN2egygC4j6DJAuHwud05jQF9H3ZiP3RqOpy+fvnYBvZt+4a99efPnOKCbFR99rh76LwnWuXouoKfHnxypOqff70fvzl8vfXr7u+k5zHcc2Mx52f+qJ3iNgEZOXERERH5pDIrrqAP66Ut/Gffz9zagd5Ggh/qqc7y8jX/GAR0btdtUv2v2PGxO3ahjHNDHxx+O1N0ZpC7kbff6YXh94tMfjs5hvuOAAS0iIiLSYVBcR7vKIS7Q7qufI6D7/O3DNAJ0P67j7rf7Joz71dHxcj2gTxw/dq2796E9ufpk+tdVCA8nN90nfjc7h/mOAwa0iIiISIdBcR1NQLdrOOoVHG1A9yuhq59uR2FabT4E9H55ufPhgoA+cfzYqe3mfrPx61OfvngO8x0HDGgRERGRDoPiOpqAbtdw1Cs4olmfhhtz1J1avbxtX44Tdrd0w476u4FnA3p2/NmRqnO6Hb159Hrp0ycf153DfMcVkAX+fokQwS+rAGCDpmx0GUCXEXQZIFxebZ1VDOjriFvG7ZvQrFdwRJdOHh04CehRwo5+GzT31ag5G9Cnjz+c0/Bp89dLn9593OQc5juugMhtQCM4UQNgg6ZsdBlAlxF0GSBcPlN9KxjQ1xGN+XhX9WWzgmMxoEc3Zl4J6F0brhcs4Xi1gJ6egwFdJE7UANigKRtdBtBlBF0GCJfPh98pDOjriMasavQhVnD0AT2+a8VFV6D3m/6riJcE9InjT9+9NqBn52BAF4kTNQA2aMpGlwF0GUGXAcLl1dZZxYC+jrYx980zUuqfuoAe1+noJhZLa6Cblh22uSygZxevR0e6LKBn+3RRPTkHA7pInKgBsEFTNroMoMsIugwQLp+pvhUM6OtoG/Px7uY/zQqO/i4ck+BcvwtHc4w+VquKveQuHIvHj4NcFtDTfZrfzc/BgC4SJ2oAbNCUjS4D6DKCLgOEy+ey7zQG9HW0jVkV57/u2ieo1P90DzhpL+pWeRovF+8D3YRxv6TiEA8vWQ/o4+MPR7owoKf7TJd1tOdgQBeJEzUANmjKRpcBdBlBlwHC5WsScIoBfR1dY+7bp18/D08iHD/DpF1cvPYkwvbZgs3X+M4G9Pz48ycRXhDQS08inJ2DAV0kTtQA2KApG10G0GUEXQYIlzMpGBjQ19E1ZhWgUbdtQNdPvw4ig3ftHTP+HCdst1GzR3dnjU//vuvXVEwZB/Ts+PMjXRLQk336R7CMz8GALhInagBs0JSNLgPoMoIuA4TLiRJsMaCvo2vM/vt3/fNJ4o7Kt6MNN803DUcJG2sl+htq7OJFvypjLaCPjj860oUBPdmn+93kHAzoInGiBsAGTdnoMoAuI+gyQLi82jqrGNCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDk/u0VQE78Y+FEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkoGR24AmcKIGwAZN2egygC4j6DJAuJwPIQNaMkByW84ATtQA2KApG10G0GUEXQYIl/MhZEBLBkjuFwxoE/oUTtQA2KApG10G0GUEXQYIl/MhZEBLBkTuF81nA/oUTtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhdV6/PUHl1nKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyID+uOw2m9vRyx//+D7591VB5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iA/rD8uN9sPn3tX+42n7+P/31dELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoD8sh81//a/Ntn9pQBvQOZyoAbBBUza6DKDLCLoMEC7nQ8iA/qg8fdnc7jc337rXBrQBncOJGgAbNGWjywC6jKDLAOFyPoQM6I/K493mof5/3WsD2oDO4UQNgA2astFlAF1G0GWAcDkfQgb0R2W3ufn29KWr5f2m4aH7t/5dldf9KunHu5tvu/qNH/ebbWzdr/4YbXfoL2nvJl9QPAKR24BGcKIGwAZN2egygC4j6DJAuJzPMAP6g9KEcFXCbSAvBPS7tyUbAAAgAElEQVQufowQrgL6j+rnz9+r/X6/jzfa9u62q19W7z50h39Y/uAAkduARnCiBsAGTdnoMoAuI+gyQLic7zAD+oNyaNK56tzuQvF8CUd7k7v2n/oq8/b56a/m3h11Gz99aa9B7+LfQ7f5bXv4YXV1xWYO8je+cEAj5ywiIiK/PlbFx6RbvLEbrbmYBHRVzLFGIy5SVy/j7TqgH0ZH6JdRxw9dOM9WcBjQIiIiIh1Wxcek6+NDv5Z5FtB9Wcdaj76nq5f90o16i+E7h00zt0s35is4DGgRERGRDqviY9L18fA1wmlA1ze56zetftFfaB4WfTT3wKu2675MuG+Dun57toLDgBYRERHpsSo+JOMMbst4GtBx3bndoorhcUBvR7//cT+q4jqaD6OMXgFZ4O+XCBH8sgoANmjKRpcBdBlBlwHC5XyJGdAfksP4anC07gsFdLN449w9OAzoXwknagBs0JSNLgPoMoIuA4TL+RIzoD8i9S00BuJOdicD+mgJxyygt9Nj1xefD2cfxoLIbUAjOFEDYIOmbHQZQJcRdBkgXM6nmAH9Eem/Evg8fI3w8jXQs4CeLdao13Ds5lV9BCK3AY3gRA2ADZqy0WUAXUbQZYBwOZ9iBvRHpH9+ynNTxM0X/lbuwnH7fDKgR/fBG473v++Hw58AkduARnCiBsAGTdnoMoAuI+gyQLicTzED+gMy3IquZt89eHD5PtC77j7QywF96NZQ9/fz2G3+dnduBYcB/QvhRA2ADZqy0WUAXUbQZYBwOd9iBvQH5LAZf8evfUZKd1V636+Jnj2JcDmg6w3aRdPtFvUXFM+t4DCgfyGcqAGwQVM2ugygywi6DBAu51vMgP54PH2ZLruIa8zNjTm2w791GQ836Tgd0MMXEtsor7Y4u4LDgP6FcKIGwAZN2egygC4j6DJAuJyPMQP64zH+CmH7Oh5+spn8W/9+06X26YButxt9l3B39h4cBvSvhBM1ADZoykaXAXQZQZcBwuV8jBnQMmd/fgWHAf0L4UQNgA2astFlAF1G0GWAcDkfSwa0zHj6cn4FhwH9C+FEDYANmrLRZQBdRtBlgHA5X0sGtMx4PH8PDgP6V8KJGgAbNGWjywC6jKDLAOFyvpYMaJny9OXcY7xrELkNaAQnagBs0JSNLgPoMoIuA4TL+VwyoGXMfrO54CuEBvSvhBM1ADZoykaXAXQZQZcBwuV8MBnQMmZ/WT8b0L8QTtQA2KApG10G0GUEXQYIl/PBZEBLBkTu314W5Jw/IE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRi5DWgCJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyi3vDJO1AC6jKDLALqMoMsA4XI+hAxoyQDJ7YVnACdqAGzQlI0uA+gygi4DhMv5EDKgJQMk90sEtAl9BidqAGzQlI0uA+gygi4DhMv5EDKgJQMi98vkswF9BidqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkruPXRxC+Ok7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIVR4QP+430z4/P38PvvNzbfXP7MJ9Wl++tq/fPpywZlW+2yv+IjHu83DFZsjchvQCE7UANigKRtdBtBlBF0GCJevKJ8ZBvRHCehRDlexa0Ab0C+FEzUANmjKRpcBdBlBlwHC5SvKZ0bhAd1yGF/fPcdbBfSQzPtLUv/KgL4SRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQM6JoPENB/u+tPsV7BYUAb0C+FEzUANmjKRpcBdBlBlwHC5XwIGdA1HyCg//6l7+HHu5s/DGgD+qVwogbABk3Z6DKALiPoMkC4nA8hA7pmFNBVnX7bbTbNguBdsy66z+V66fHmdgjo5vVox02/UPmprt16oUV/mH6z8TGbxt1vJuubF6k33PfNvN9sd92L6TlUf0h/sIWDr312vwb6cMH5GNC/Ek7UANigKRtdBtBlBF0GCJfP5c5pDOiaaUD/ESskDv1XCyMnIz83N3+2CbqbfPGwe9UcqArov39p942wjpSeHbOK2N/vL/n2Yl27j90ajqcvn77uZp8ar57az2zO7+jg65/dBvTkEAObOT/7X/wiXiqgkZMVERGRYjAuag7TC8nb56e/6h+asjy0Nbmrrz5Hsnavt/H2bfyzjb3rnZoM3bZf/qsPXf2+3ml2zObth9h89ZpvHdBPX/prxZ+/twE9PYf2Zfuqu3NHd/Azn90G9OQQAwa0iIiISIdxUTMN6Lhg26/U2HcJvG1fdi380O3wUIdnd5m33riu0u6Kcxw5fj87Zh2xzWbV9quXoNv1Ft2JbduPm51Dd4qzg1c/1Buf+eylQwwY0CIiIiIdxkXNNKC3S2/2/VmVZ/1Tvwq5+um2/p/xooc+iKuNb7vDPhwds03b5/nuRzQB3a7hqFdwtJ8+O4fuFOOzxgef1PnyZ8dO00MMGNAiIiIiHcZFzTSgJ+lYL+mo3qySuFvU0ATn03BTjCY695vxKox+6/5WGJPDtscc8vrcnT2aw7QfWa/giCaen8M0lE8c/NRnTy+knwVZ4O+XCBH8sgoANmjKRpcBdBlBlwHC5YuaZxEDumY5oLuv/80CugnOySMMI6hH3wU8HdDjY47uNHdJQFcb3T7HCo4I3dk5jE5x8tHjy8qnP7s5wdkhVkDkNqARnKgBsEFTNroMoMsIugwQLl8WPUsY0DWLAb1rY7N5c3RX5cWAHm5y0d7LYjmgJ8c8FdBt6I5WIceG9R32YgVHKqDXP9uALhYnagBs0JSNLgPoMoIuA4TLl0XPEgZ0zVJA7zf9l/aWr0Af3zcjGnp7OqCnx7w2oKujPsQKjj6gx+dwJqDPfLYBXSxO1ADYoCkbXQbQZQRdBgiXL4ueJQzomoWAHm6M0QX08IW9COjF1Dxs2tXJSwE9O+a1SziaNRzNCo4+oCfn0C1gjk+fHfzcZ0/XQJ8taURuAxrBiRoAGzRlo8sAuoygywDh8mrrrGJA1ywEdB+YVUsu34VjdtuN8VfyTgT0/JjXBvTj3c1/mhUc/V04Jnt1B4mtZwc/99nTu3CcfQ44IrcBjeBEDYANmrLRZQBdRtBlgHB5tXVWMaBrlq9A37bvbdo7JMfr9j7Q/bNG4tJu37K79SvQk2NeG9DV/v+6a5+gUv8zO4fuDnyLi5zPffb0PtCH8QKSJRC5DWgEJ2oAbNCUjS4D6DKCLgOEy6uts4oBXbO0Brp9yt+u+2Jgu4Z4/CTC+nX7QJL2UYP1VitroGfHvDagh5vlDU8iHJ3D0ZMIJwc/89nrTyI8ApHbgEZwogbABk3Z6DKALiPoMkC4fKYPVzCga5YCurvHxad/33XRGre7+DNit71x3WZ45mBw+3w6oGfHvDqgq6PEibYBPTuH7mXz3vzgZz67/bsnh1gBkduARnCiBsAGTdnoMoAuI+gyQLi8HjtrGNA1y/eB3sU9NcaPFdw0X+NrYzfultFdqo30jLdO3wd6csyrA7o/lf6BJ9NziIzfTj+6P/jqZ/d/9+gQKyByG9AITtQA2KApG10G0GUEXQYIl8/lzmkMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHL/9kIgJ/txcaIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJwMhtQBM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZILntZQAnagBs0JSNLgPoMoIuA4TL+RAyoCUDJLeXnAGcqAGwQVM2ugygywi6DBAu50PIgJYMiNzJfDagr8OJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuesW9skpr44TNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0Dw/7jc1t5ds+3i3eVj/5X7Tv3j6stl8/t6+OGw227VTOP3mJSByG9AITtQA2KApG10G0GUEXQYIl/MhZEDTtPl8YUKfD+jqRXec+tCfvrYv9sOPiydhQEvgRA2ADZqy0WUAXUbQZYBwOR9CBjRMHblN/daXiy+6CH3MJKCrA3ZXnQ91lbdhXB3+5tvaWRjQEjhRA2CDpmx0GUCXEXQZIFzOh5ABDbMfXyNeuLp8CdPL0rv+iLvN7a6r6SqRV/LcgJYeJ2oAbNCUjS4D6DKCLgOEy/kQMqBZnr4MXbveuCtMA/rQdXhdxX2fH1br3ICWHidqAGzQlI0uA+gygi4DhMv5EDKgWcYB/dxfLq6KeLR6ebwUo2/lXbNqOlZlTAO6XwR9qA7Rv7XvVnCMj/14d/OtPtBDF9DVm/0hj7da+TsQuQ1oBCdqAGzQlI0uA+gygi4DhMvXZtyAAQ2zW1iavJt8qbBeHN3HchvEh/6Lh9vneUBX20eH76t/u0Dvfzk5dpXGf2zqO3W0Ad33c7dVs0+/1cqfgchtQCM4UQNgg6ZsdBlAlxF0GSBczvecAQ1z2BzdXm4Xedv+U/+7bbarX0UrV//b5Owhsnp2a4522UbVzNv+ynO1yfb42PV15u3z01/tEo7usO1Hjj4zthrYzHmV/zZz0gGNnJ2IiIiUiq1Bs28CdHSLua512xDuXvavHkbrMca/HB/g4XnU2nHJuvmE42NHMTcB3b/qjzfN9REGtIiIiEiHrYHTLdHoFkP3izrisvB+stB51sqHpYBu12PEju03E9vl1bNj9z1dvxw6uV+LXd/HY7TVgAEtIiIi0mFrvAn7IaFHXytsQnY3ufw7f2bKUkDHLt1xxi/mx+53rAL69/7+0bH2oz2vKrgXHt5iQIuIiIh02Bpvxi4KenRHuTpfJ7fpGFq5uUtGt/ZjXriHOnur4zzEi2qTdovZsScBvdlspi/6ry4uPv1wBrLA3y8RIvhlFQBs0JSNLgPoMoIuA4TLuYKrMaDfjqqVq9a9KKB3bTwvLuGI14d2tUZzvPbFakD/1/8a9jCgC8aJGgAbNGWjywC6jKDLAOFyNuEMaJrJAo1msfEocnej+9ANmzRfIuzvVLcU0M0ajO7IzQF2cZDZsScB/fl7dwPp+VNVDOiycKIGwAZN2egygC4j6DJAuHxRuy1iQLNMbgPdlOupNdDx+yZm+5s6nwjo+g7Q/7ev4P3m5j/tqua1NdDb5rp2u9Bj8kREA7osnKgBsEFTNroMoMsIugwQLl/cb0cY0CyH8V2go1THd8q4He7C0d8342G4RByLPo4L97C5+f/uujvjPd59+nf3YnbsWUD/uJ/dq2N8WusgchvQCE7UANigKRtdBtBlBF0GCJevargJBjRLfQ+7vk533WNRtu3L8X2gR8ud+wvJh/ji31Hh/rj/9P/2a0Oqrf85ekb47NjjgO5y/jB6COL4OvUKiNwGNIITNQA2aMpGlwF0GUGXAcLlRMm1GNAw9e00+hs9R6iefxJh+6TA3eZEQHd39BheDEufZ08inAR029X123Vx198mXDz8MYjcBjSCEzUANmjKRpcBdBlBlwHC5VzL1RjQNON7XrSdups8WaV70EpzETlittvn07/v+nUdE/ab0YXtw2ZylXt07KOAbh+m0j/bZfRIw3UQuQ1oBCdqAGzQlI0uA+gygi4DhMu5lKsxoHm6XJ0+IWW0Drku4PYachezu/jVqTUW1W+G3as6Hq1pHh/7KKDr8t72W7UFb0CXhRM1ADZoykaXAXQZQZcBwuWLum0RA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcv2VBzu6XwYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyO3AU3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkgOQ2mwGcqAGwQVM2ugygywi6DBAu50PIgJYMkNxeeQZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHJfmc8GdA4nagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjfD/s/e2vW1sZ4Kt0+jEmKbdY0BBNJ3Qk3N7RkYbNzlsnDtjI+AYh/E45v//R7eqnnpnkSIfScui9lof2iJVLOoEa28sVO/a5UQNgA2astFlAF1G0GWAcDkfQga0ZEDkrpvYB6g8OU7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRAk2xWA+tzPvDtz18O3/x6u7qbHfa+OeXNJX/L4VkuAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA5pkHNCrNz+fcfy7MwK6zecLE9qAlsCJGgAbNGWjywC6jKDLAOFyPoQMaJJREG9Xq7efLjh+xCx9635uXn//eOFF6AeAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABTTIO4u0ZqzjOCujtcC17u3rIVeVLQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgCYZB/G394t1fPT4gWlAf/84XHauzgldgkbkNqARnKgBsEFTNroMoMsIugwQLudDyIAmGQdxFb6xhqPq4dGC6OZVXJvexrrmu/hkTf+BIwE9fMH4pF9v337aTJZIb6sz9WfZTW5pnP41R0HkNqARnKgBsEFTNroMoMsIugwQLp8bcIcY0CRLAb2Z3P/XvaoTdgjo3WTvjtkSjs3CYuruNM3XVQH9U/3z/9sd2DR3e5Z64fTQ5tMPngCR24BGcKIGwAZN2egygC4j6DJAuJzLuRoDmmRhCccm0rn9Z9cncnPgpivg+HcXnTsL6N3hnnibeGcXJ60vKq/333/ZrYZrznfdWeLQ9sjZBwdWcx71f5ZjXBzQyF8lIiIipWNzkBzeRFhl7Lp9WV907g7YxSqK9uW2uz4cB803oNvOd8XrD4gfuv7uF3s0p+1/t1448/wrDGgRERGRDpuDZAjoeuVEXIBu2/jb+7pkZ8sx5jcR7hYDul+G0V02Hj62qd8aRXpz9viqOMt2sq569sEBA1pERESkw+YgmTxIpS7X0R2ATbxup8sxpgFdL8VYDOia7ZDQ1UnX/bvVt8yvK48zfPIN8w8OGNAiIiIiHTYHyWaaz93F4IYmWdtrycN14PGmGt1CjaPPENxEQY+eTLiaBHSb63HW5t3JFh4HHzwBssDfmwgRvFkFABs0ZaPLALqMoMsA4XKq5hoMaJKDfZ3nAT1suHE3Pn7TxvORJRw9VQ9XBxwN6Ork1cv2Ow1oCZyoAbBBUza6DKDLCLoMEC5fEnFTDGiSUwE9/C4aer0f3UTY/m7pJsLJOZvlzqOTdm/e9V93FxV9LKDvfThiCyK3AY3gRA2ADZqy0WUAXUbQZYBw+czqWcCAJjkI6Pka6I5dd4th/X+rg9pfLQf06Fpxk8Dz5xGOjq/vDWzvD5yugW7+kAseZIjIbUAjOFEDYIOmbHQZQJcRdBkgXD6zehYwoEkOH8093oXjZtTTsaAjju8vDMcKjVlA78a3HXZVPFl/MTp+t3r7v97Hq+kuHIubgJwAkduARnCiBsAGTdnoMoAuI+gyQLh8XvQsYUCTHAZ0v8Xcpt0Hun8i4OQKdGT1LtZGHzzKe3gZn++fgxLXrkfHV53875ON67rvj9XVsw+eAJHbgEZwogbABk3Z6DKALiPoMkC4fGnIDRjQJIcBPXsSYdWzTd7GU1baJRvd8wE3q6WAbnbo6Ju4u/mwu3Q9P37b7xZ97EmEow+eAJHbgEZwogbABk3Z6DKALiPoMkC4nKq5BgOaZCGg+63thovMw8td3E3Y7Y7x5q+3wyNQBsabZ/T71Y1ej4+vfm4fWdi+2x3aL4WenOgoiNwGNIITNQA2aMpGlwF0GUGXAcLlRMu1GNAkSwEdezz3a48jYbuXu1V/gbou6YMlGZMPjas3No6eXGvujhy2lr7rv2NYRj3+4AkQuQ1oBCdqAGzQlI0uA+gygi4DhMv35c5xDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkTuV5eC/FUvDidqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIzcBjSBEzUANmjKRpcBdBlBlwHC5XwIGdCSAZLbcgZwogbABk3Z6DKALiPoMkC4nA8hA1oyQHJ78RnAiRoAGzRlo8sAuoygywDhcj6EDGjJgMjt6g0EJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOSuw9hnqDw5TtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBfCZvVwPqeY3fnHPQwELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoK+EcUCv3vx86tCmn1d3T/rnIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQF8Jm9W7L+2P29Xq7aeTh5789aOAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABfSWMArou6BMLNL5/XN08+Z+DyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABfSWMA/rb+9GLAwxouQgnagBs0JSNLgPoMoIuA4TL+RAyoK+EcUBXifz20/7r7dtPm3ax89fbbmV0Fdf9jYbDu/vuVX/pevpqcuj4xMdA5DagEZyoAbBBUza6DKDLCLoMEC7nu8yAvhIWA/qnKnPrt7s7DG8mAd29Gx/sXkUlT1+NT7Afn7hjNQf5b74koJE/SERERGRvQF8Nh0s46ovG6/33X5r8vdn3/3RLODZxgXkX7+76i9L1eaavZicYTtxjQIuIiIh0GB5XwuFNhF391j+s2/frC8ptQFfvxhqM+KH7/K45ZvpqdoL+xAMGtIiIiEiH4XElDAFdBXLzc5+9/bZ1397X77QBPXxgU7+e7m135FWcoD/xgAEtIiIi0mF4XAmTB6k0vdtdYh7tutFEc7yu/m9Xwdv6+O3k4YSTV/MT9NeuT4As8PcmQgRvVgHABk3Z6DKALiPoMkC4nO8yA/pK2MzyeQjouGzc0KRy9HB3M2H3ifq69XBn4OTV/AQGdFk4UQNgg6ZsdBlAlxF0GSBczneZAX0lbA7WJV8W0N0Tvrvd6UavDOiycaIGwAZN2egygC4j6DJAuJzvMgP6SjgroEdLOEbvDkQ1r3LshqgAACAASURBVGev5icwoMvCiRoAGzRlo8sAuoygywDh8uU91mFAXwnHA3p5DXRVxYvPI9xNNnhuXrkGumycqAGwQVM2ugygywi6DBAuX5RiEwzoK+F4QE820bgZ7cIx3mhjiOR6lcb01fwEBnRZOFEDYIOmbHQZQJcRdBkgXM5WmQF9NZwI6NF+dqN9oNsHqDSvq4/2kbw5fDU7gQFdFk7UANigKRtdBtBlBF0GCJfzXWZAXwknAvr4kwjrj9R3E941RzfN3D+EZfTq8EmEBnRBOFEDYIOmbHQZQJcRdBkgXM53mQF9JZwK6H6Puyacu4But6rr9t3ott2IX05fTU9gQJeFEzUANmjKRpcBdBlBlwHC5XyXGdBXwsmArn/u94ceFjg37/Y3CEZQdwujp68mJzCgy8KJGgAbNGWjywC6jKDLAOFypsgCA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcry4A+YNeJk7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRi5DWgCJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyS39QzgRA2ADZqy0WUAXUbQZYBwOR9CBrRkgOT2AjSAEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbFRwITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhdl7HPUXlynKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EHpAQH9Y2o/3n/4jf0K5HhC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQygb0P36//EALA7oMELkNaAQnagBs0JSNLgPoMoIuA4TL+RBKBvSxfjagfwTfP64G3n054xNfb1d39b/f/nzO0QsgchvQCE7UANigKRtdBtBlBF0GCJdzEVSTDOjF5RsG9A9iEtCr1fr+T7QBvTkvtxdA5DagEZyoAbBBUza6DKDLCLoMEC7nIqgmF9B//10dLf/8t/z3yiNSBfRN9/OuKui7ez9hQEuPEzUANmjKRpcBdBlBlwHC5VwE1eQC+nOVLL/5Q/5b5VEZB3Rd0Dcnjg0MaOlxogbABk3Z6DKALiPoMkC4nIugmlRANyugX+e/VB6XSUBXL95+uu8TBrT0OFEDYIOmbHQZQJcRdBkgXM5FUE0qoP/vf3Gx83NiEtBVFbcBXVXyavXm5+H9mvhdE9DbWDJ9Nz/26+3bT5t7VoIgchvQCE7UANigKRtdBtBlBF0GCJfz7ZUOaBdAPx+Wr0BvJtty7Cb3GM4Duju2OU0V0D/dt50HIrcBjeBEDYANmrLRZQBdRtBlgHA5317pgP5t/jvlkVlcA72JVG5fVsXcBPEurkHPlnBs4qBNf2z10e+/jL5hNQf577ogoJG/R0RERKQmvQbagH4+jAN6267E6HZ6bn/Ydus6ts2vpwFdvVpPfzm/+mxAi4iIiHTkyuODSzieE7N9oJtwHu4P3Ex25dgtBHS/avrb+7qk+54eMKBFREREOnLl8au72D0nJgG97t7qIng72pWjXp1xENCjC9jNG/3F6wEDWkRERKQjVx6u4XhWdAVch3Sbvt/ej2q3Cehmn43VaiGg47pzQxPbCwF9ALLA35sIEbxZBQAbNGWjywC6jKDLAOFyvr2Sl+7+/jsvQT8fhkvIm+4K9EFAb9p4XljCYUCXjRM1ADZoykaXAXQZQZcBwuV8e2X/f98u4nhGDAFdX4NuYngUxQ3bblu6hZsIR8ceW8JxACK3AY3gRA2ADZqy0WUAXUbQZYBwOd9e6cWjf/9dlS3/kv9ieTxGi5ir+G024aii+GZ6RHtP4UJAn7EG+gBEbgMawYkaABs0ZaPLALqMoMsA4XK+vXIBXW8EvYwPKPwBzLaxm+6s0dBfZK4OPb0Lx83egC4MJ2oAbNCUjS4D6DKCLgOEy/n2MqBfAOOA7hZxdM9TiYvP/RG72ObuyD7Qm3FdnwSR24BGcKIGwAZN2egygC4j6DJAuJxvLwP6BTB5EmG3iGOz6hY41znc3l24WU0COtZzLDyJ0IAuCCdqAGzQlI0uA+gygi4DhMv59jKgXwCTgO4yeNgcuq7hbleON3+9bZ+VUr+76zaO3rSHNqcxoMvCiRoAGzRlo8sAuoygywDhcr69fALFC2Aa0O01527n5+H+wCaW43bCrpF3o2hedSuhDeiycKIGwAZN2egygC4j6DJAuJxvLwNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RB6WED/2u++4TMJywKR24BGcKIGwAZN2egygC4j6DJAuJwPoQcE9Gwvu9/8IX8quTYQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EMoH9IeDPaB/m/8z5MpA5D622fgCyN/zQnGiBsAGTdnoMoAuI+gyQLicD6FsQP/j9wsV889/y/8hclUgchvQCE7UANigKRtdBtBlBF0GCJfzIZQN6A/TZRu/eg26LBC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQSgb0rwcXnOOStPcSFgIjtwFN4EQNgA2astFlAF1G0GWAcDkfQrmAbu4fnF9u/jBvanm5gHLLE+NEDaDLCLoMoMsIugwQLudDKBfQvy4u1/jgJehigOT22jOAEzUANmjKRpcBdBlBlwHC5XwI5QL6w+KudX//naugSwGS2+UbAE7UANigKRtdBtBlBF0GCJfzIZQK6Hq988JijSNvywsEkdv1zwhO1ADYoCkbXQbQZQRdBgiX8yGUCuh6CfTrhfc/v3r1T/+R/1vkekDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcdR37FMInx4kaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkGugJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQu7CIRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EHIfaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh9AjP4nQJdCFgMhtQCM4UQNgg6ZsdBlAlxF0GSBczodQLqCbS9DT9c71AujlWwvlBYLIbUAjOFEDYIOmbHQZQJcRdBkgXM6HUDKgm8vNo4XQv8aOvK6ALgVEbgMawYkaABs0ZaPLALqMoMsA4XI+hLIBHRecZ7gFRzEgchvQCE7UANigKRtdBtBlBF0GCJfzIZQN6O4a9BivP/9Yvn9c9dyd95Fvf/6S+y5EbgMawYkaABs0ZaPLALqMoMsA4XIugmryAR13Eg54/+CPZhzQqzc/n/GJzeqdAV08TtQA2KApG10G0GUEXQYIl3MRVPOAgN7Hzs/TxdDy46gC+qb9cXteQRvQ4kSNgA2astFlAF1G0GWAcDkXQTUPC2h5TowCev/1dvX2072fMKDFiRoBGzRlo8sAuoygywDhci6Cagzol8M4oPe71Wp97ycMaHGiRsAGTdnoMoAuI+gyQLici6AaA/rlMAno6kUbx19vJ0uid/UK6aatt6P7DccHfb19+2lzz42IiNwGNIITNQA2aMpGlwF0GUGXAcLlfHQZ0C+HSUBXeRw9vGnvKrzpjmmo13eMAnpyUBXQP1U/jy9Or+Yg/0FnBjTyt4iIiIh0WB8vh2lA7/o0vhn+qf9dN79rX0UlTw+qr0av999/GZ3agBYRERHpsD5eDtOArjJ43f3ffXdBunvZXp5uA/rwoPnSaANaREREpOOi+mh2fq4fNzjbAtrdoJ8FSwG96Tbj+Pa+frltX1a/jMvTTSnPDup7esCAFhEREekwoF8OCwE9equJ5dm2G/FyflBb1ydBFvh7EyGCN6sAYIOmbHQZQJcRdBkgXM5HlwH9cjhYA71uLyk31Befp0d0AT07yIAuDCdqAGzQlI0uA+gygi4DhMv56DKgXw4LNxEa0HIvTtQA2KApG10G0GUEXQYIl/PR5QLSl8M0jzf1DYGjNq5j+d6AdglHgThRA2CDpmx0GUCXEXQZIFzOR5cB/XKY5HFVxVULH1sD3b7vGmhxokbABk3Z6DKALiPoMkC4nI8uA/rlsPQo7/EGGzfDLhztReeFXThu9gZ0YThRA2CDpmx0GUCXEXQZIFzOR9fjBvSvr377qOeTSxgHdBXBTRT3W9JtJvtA75b3ge4PMqALwokaABs0ZaPLALqMoMsA4XI+unIBXd9E+C8H7/79d3GLofwYJksx2gd5n34S4ehx39MnERrQBeFEDYANmrLRZQBdRtBlgHA5H12PGdD1u+7C8eOoAnqg7eemihtuJsfEUuhd/eN6fpABXRZO1ADYoCkbXQbQZQRdBgiX89H12FegDegfxyig2zXNDVUPj9/oo7l7cTM/yIAuCydqAGzQlI0uA+gygi4DhMv56HrMgP7gPtDFgMhtQCM4UQNgg6ZsdBlAlxF0GSBczofQZQH967Hnp/R4E2EZIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yF0WUD/4/f3BfThdWl5iSByG9AITtQA2KApG10G0GUEXQYIl/MhdOESjnqZsxegxYB+QThRA2CDpmx0GUCXEXQZIFzOh9Cla6A/n8rn3/wh/4fIVYHIbUAjOFEDYIOmbHQZQJcRdBkgXM6H0GPeRCjlgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELnvW3DfgvwtLxgnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0K5gJbSQeQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMjNwGNIETNQA2aMpGlwF0GUGXAcLlfAgZ0JIBktt8BnCiBsAGTdnoMoAuI+gyQLicD6FHDugPPsq7DCC5vQIN4EQNgA2astFlAF1G0GWAcDkfQvmAXt4R2oAuA0Tu81ZwGNAPxIkaABs0ZaPLALqMoMsA4XI+hLIB/euRmDGgywCR24BGcKIGwAZN2egygC4j6DJAuJwPoWRAH32ktwFdBojctVA+SOXJcaIGwAZN2egygC4j6DJAuJwPoVxA/+P39nPZIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yGUC+hfu1iuS/p1/U5ckvbhKqWAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh1AuoOsbCP/5b+1P8UMT1V6ALgVEbgMawYkaABs0ZaPLALqMoMsA4XI+hFIBXV93/s0fmh9/7X9qCvp1/i+RawKR24BGcKIGwAZN2egygC4j6DJAuJwPoXRAt9ed66Ub3cKND16CLgZEbgMawYkaABs0ZaPLALqMoMsA4XI+hFIB/X//y6tXvx1+fN2+PY5pedkgchvQCE7UANigKRtdBtBlBF0GCJfzIZQO6NfxY30x+rfd+x9GP8uLBpHbgEZwogbABk3Z6DKALiPoMkC4nA+hhwZ0Hc3tao7xHYXywkHkNqARnKgBsEFTNroMoMsIugwQLudD6MEB/Xm08PlXA/pyvn9cvfm5f7VZvfvyGGf99r4+z/xsm9XA+ui3f729uff8iNwGNIITNQA2aMpGlwF0GUGXAcLlfGilbyLs1mqMtuGof/YuwkupEnaUuY8V0JvV3cLZxgEd4bz47fHhkyByG9AITtQA2KApG10G0GUEXQYIl/OhldsHerRu49fR81MM6AR1wraXg/ePFtC7roTnAd2/3q5Wbz8d+fZv7+tfnQSR24BGcKIGwAZN2egygC4j6DJAuJwvrfyTCNtqrrfeeN2+/dmAvpwmYftlFI8T0NU575bONn69bcJ5+du3Q1MfAZHbgEZwogbABk3Z6DKALiPoMkC4nE+tXEDXi6DbhRujPaFHP8rZVAn7r7d92D5OQLcXoE8G9Lf39Yvlb/96e98laERuAxrBiRoAGzRlo8sAuoygywDhcj61cgFdr+HoYvlD/wDC+gHfbmN3KVXC3mz7ZRSRsFXctq+3zUKLOmjr9ct39Y+r8aKL5uXoNsDulOvR2QbGr6uDqlMvfXvzwz2XoBG5DWgEJ2oAbNCUjS4D6DKCLgOEy5cE25RkQNeXoNuL0PUajqab6372QSoXUyfssBfG0YD+adXc7bcZ3wE43BU47eSvt5OzDSwH9Pzb9/Ul7HsuQSNyG9AITtQA2KApG10G0GUEXQYIlzPhFiQDulkF3S54bq5Gt7iC42LqhK0vJI8XXRwGdH2R+PsvVdg2v+gO38TL6t3JxnPb4ULyGUs4Dr49vmCyEcdqzqP+T3CMMwMa+VtEREREOtL1UV94jlyOq9Gv+kvSchFNwu67ZRRHA3pauLvmmnGfudPejTOOD+9YvInw4Nv3o0UgLQa0iIiISMcD6uPvvxvdPGg/Z4mE7ZZRHA3oblHzeGnFZnT33+gSdPXpu/kB89fd/s9L335wQgNaREREZOBx6qNZB+365xTt9eL2IvPRgL5rX45uIBxdJt6Ow3q4Hn3yQSrNJ5a+PU44+aQBLSIiItJhffxougUXsYzinoButm3u7hmsjprlcLDrt+U4EdDt8UvfPnzvcZAF/t5EiODNKgDYoCkbXQbQZQRdBgiX0/VmQP9wuoSNZRT3BHRzw2DDXS6g57tML3378L3HQeQ2oBGcqAGwQVM2ugygywi6DBAuXxptAwb0j6a/5a9ZRnFvQO+7hl6PjpqSCejxtw/fexxEbgMawYkaABs0ZaPLALqMoMsA4fJ9kXYcA/pHM+yZUS+jmAf0ZiGg901Dv/tSHXWzXyAV0KNvj1cGdCk4UQNgg6ZsdBlAlxF0GSBcPpU6p3lYQMfNgz6A8CEMCVsvo/hvXUDfdG+NA3qcu9X7m+XKPXUT4fGAHr59+cgpiNwGNIITNQA2aMpGlwF0GUGXAcLl+zPtGA8I6NH+zzZ0niFh47nc7eZy3X7P0yvQfTI3gds/QKU/vmF8/fr8gB6+PY5cvLjdg8htQCM4UQNgg6ZsdBlAlxF0GSBcPrPVFkgHdL/584Db2GUYJWyzS12TsNv4d7uaBXT1Q1PQ7ZNPNqvugvXlD1I58e37o8urexC5DWgEJ2oAbNCUjS4D6DKCLgOEy+fn2pxsQM8uP3sROs04YbvHm3Tb1a3e/edsDXS3CUe/d8awKcfA6FHeA/W66NMB3X97/YXdMuojIHIb0AhO1ADYoCkbXQbQZQRdBgiXL8+2jmRAt/38T//Rvv41Cvp1/g8plnHCDs/sbi4HV1l8sAtHNHO/9rlZdzFfbtHn72UBPfn200ugDegXhBM1ADZoykaXAXQZQZcBwuVzY+2QZEB/OMjlWNLhKo7nwOgRhU91AkRuAxrBiRoAGzRlo8sAuoygywDhcj6VcgHd7L4xj+XP1Xv//Lf8nyKPxu6+C8j38PX29CZ2BvRLwokaABs0ZaPLALqMoMsA4XI+lXIB/XnxYvMHL0E/E75/nO0bfSGbe69gI3Ib0AhO1ADYoCkbXQbQZQRdBgiX86mUCuh6ucbCteZ6YbT3ET4LHnYJ+tv7+y5AG9AvCCdqAGzQlI0uA+gygi4DhMv5VkoFdF3Krxfe/+AajufC5iGXoM/4MCK3AY3gRA2ADZqy0WUAXUbQZYBwOd9K6YBeWqvxebQvh/xQvr3PX4L+env6ISo1iNwGNIITNQA2aMpGlwF0GUGXAcLlbCoZ0JIDkXthq/ElkL/lBeNEDYANmrLRZQBdRtBlgHA5H0LpNdCvF97/YECXAiK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CuV04lkvZmwjLAZHbgEZwogbABk3Z6DKALiPoMkC4nA+h/D7Qh6m8vLmdvEQYuQ1oAidqAGzQlI0uA+gygi4DhMv5EHrAkwhfz96rH+ftJhyFAMltPgM4UQNgg6ZsdBlAlxF0GSBczodQMqCbB3dPa7l5urcXoAsBktsr0ABO1ADYoCkbXQbQZQRdBgiX8yGUDOgo6CGY6+XP9nNBIHKft4LDgH4gTtQA2KApG10G0GUEXQYIl/MhlAvotpdP4n4cLxlEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIXWvkg1SeHCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDKHsToZQNIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EHnsbOzevKwNEbgMawYkaABs0ZaPLALqMoMsA4XI+hAzoH8v3j6s3P/evNqt3X5In+vb+vs9uVqub/sXX29Xd+Jfb1dtPl3wdIrcBjeBEDYANmrLRZQBdRtBlgHD5kvSZYkD/WKqAHoXvUwZ0dcCo1Q1o6XCiBsAGTdnoMoAuI+gyQLh8SfpMMaB/LHVAr9bdq6cM6N3qv/734ZvmGNDl4kQNgA2astFlAF1G0GWAcPmS9JnyWDcRNkn9+pFOVhBNQPcXhh8Q0NWJTn62+v3NiUo2oMvFiRoAGzRlo8sAuoygywDh8iXpM+XxduH4++8s6MupuvZfb/v0fUBAV5+9OfXres3GfN3GCAO6XJyoAbBBUza6DKDLCLoMEC5fkj5THnEbu7qg/+XxTlcGcWG4W1oRAf3tffc6svbr7dtPm9Wqjt8qgcdLPpqX7fXrbbw9O6JnU51qdJW6b+nm+JshoMenPAEitwGN4EQNgA2astFlAF1G0GWAcPnycOt4zH2gP7969c9/e8TzlUAd0MNOHEcD+qdVc69hndGrIXC7l00V75oinh3RE+fc9u93Ad0e//YvbUBPTjmwmvNE/3NMOTOgkb9FREREpOMx68NL0JdTB3RdsxGsxwK6vqT8/ZeqkZtfdIdv4uVutD3d7IiBXZPO1ZnbQ9uAbre2q7O5CeiFUzYY0CIiIiIdj1kf//j9q1e/fcTzlUAT0PtuEcfRgB73dVfD41UY3dLm6RGTr2mbe1ipEStC1u0Xdd90cMoGA1pERESk41Hr44NrOC4lArpbxHE0oOP1ZnKn32Z07+FN/97yvYDdKXbd8ugo5H7lc/WV9U9Lp2wwoEVEREQ6Hjug3Qf6MiKgu4vMRwP6rn05uj2w+mT387CFxuSIEV1Y97cRNudsv7w/YPGUyyAL/L2JEMGbVQCwQVM2ugygywi6DBAuX5JsUwzoH0vXsLGI456AbjaN7m7wq58s2NPV7uSIgWHt83YV55oHdPNNi6dcBpHbgEZwogbABk3Z6DKALiPoMkC4nA+4xwzo+mEqBvRldA0bizjuCehmCUbD3ZGAnhwxsBsdGt/XnHP4IgO6YJyoAbBBUza6DKDLCLoMEC7nA+4xA/rXV66BvpT+InCziOPegN53Mbwe1++M7ojxl4xoVlsfuwJ99FnfMxC5DWgEJ2oAbNCUjS4D6DKCLgOEy2dWzwKP/CAVn0V4IUPD1os45gG9WQjofVPI774MyzIW2E2WcfR3Ie7HG93djR//vWkD+uTTDEcgchvQCE7UANigKRtdBtBlBF0GCJfPrJ4FHi+gP9Qt85s/PNr5ymAI6HoRx3/rAvqme2sc0OPYrt5f2HFjdkTHdrSpXbvfxrFdOM59oDcitwGN4EQNgA2astFlAF1G0GWAcPn8YJuTC+h6tfMibgN9IaNVFM1DtOuA7i8M72a7M/d921yp7p92Mr+Q3B/RUtXx6HL0tnsmePzfm+7N+oNLp1wGkduARnCiBsAGTdnoMoAuI+gyQLiczbfHDmhXQF/KKKCbPeiabN3Gv9vV4eNNmj5un7uyWXUXrPslHrMjgt3klsLYMa89Z/tN4ycRzk+5DCK3AY3gRA2ADZqy0WUAXUbQZYBwOR9wjxrQ9vPFjAO6vtevCejupr93/zlbA93vptHt3HGw5cb0iO60k4UZm3pBR3fOTbvlxl/imKVTLoLIbUAjOFEDYIOmbHQZQJcRdBkgXE7322MGtMs3EowDenhmd3PxuWrYg104InD7Hm5WfUxv/JsdsZ/eQti+vhnO2WxddzOshl445RKI3AY0ghM1ADZoykaXAXQZQZcBwuVzc+0Qn4MsGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PokQL6syugywKR24BGcKIGwAZN2egygC4j6DJAuJwPoYcE9IdX/zL8+OrVP/3HA84l1wUitwGN4EQNgA2astFlAF1G0GWAcDkfQumA/sfvRw/ubl68GnpaXjqI3AY0ghM1ADZoykaXAXQZQZcBwuV8CGUD+u+/HDvdLgAAIABJREFUG+9c121r9zr/h8hVgch95HGXc5C/5QXjRA2ADZqy0WUAXUbQZYBwOR9CyYBui3lY+BzXoH/zh/xfItcEIrcBjeBEDYANmrLRZQBdRtBlgHA5H0LJgP5wmMtNU/sswkJA5DagEZyoAbBBUza6DKDLCLoMEC7nQygX0M0CjtezN5uL0C6DLgNGbgOawIkaABs0ZaPLALqMoMsA4XI+hHIB/XmhnyOr3c2uDCC5rWcAJ2oAbNCUjS4D6DKCLgOEy/kQSgV0fa15YdO6+m3XcJQBJLcXoAGcqAGwQVM2ugygywi6DBAu50MoFdD1cuelS82f3Qy6FBC5XcGB4EQNgA2astFlAF1G0GWAcDkfQumAfr3wvgFdDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZG7zmOfo/LkOFEDYIOmbHQZQJcRdBkgXM6HUHoN9NISjg+ugS4FRG4DGsGJGgAbNGWjywC6jKDLAOFyPoRyu3B8WLzUfGxptLw8ELkNaAQnagBs0JSNLgPoMoIuA4TL+RDKBfSvr5bWcNRPV3Ef6DJA5DagEZyoAbBBUza6DKDLCLoMEC7nQygX0M1TB+etXFe1S6ALAZHbgEZwogbABk3Z6DKALiPoMkC4nA+h5KO86yepzJZrNE/3fp3/S+SaQOQ2oBGcqAGwQVM2ugygywi6DBAu50MoGdDNY7tHF5ybS9LeQlgOiNwGNIITNQA2aMpGlwF0GUGXAcLlfAglA7or5in2czEgchvQCE7UANigKRtdBtBlBF0GCJfzIZQN6O4a9Bh34CgHRG4DGsGJGgAbNGWjywC6jKDLAOFyPoTSAb3f//13k3z+zR/yp6L59n414d2X+z+zXb399PR/2ZTN5K+sv//r7eru3o99+/Pkv2fpM2ed5wSI3AY0ghM1ADZoykaXAXQZQZcBwuV8CD0goPfjhr6u7etedkBvZv89BrScwokaABs0ZaPLALqMoMsA4XI+hB4W0FfObvXm57MP/jEBPU/7TEA/BYjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdDnYkCPQeQ2oBGcqAGwQVM2ugygywi6DBAu50PokQL681XeQWhAp0HkNqARnKgBsEFTNroMoMsIugwQLudD6CEB/WFY+fzhKp9COAror7dvP9Urjus63fQrjttfVa9uhoBuXo8+WB+8bn7+/rH6YbsanaY/bHzOb++7w9b3/IEnAnr6V1T/Kd3ptrFg+m74T+o/Mxw0nCf3hxnQLwgnagBs0JSNLgPoMoIuA4TL9+XOcR62jd3r8Ytru5NwHtA/xd2Eu/6mvajI9ka+t39pK7O7sS/StnvVnKgK6D99bD8bYR0pPTtn1al/fH/W3YvHA3r6V3z/ONxmOA7o+E9qPzM+qDvPuX/Yak72f/KLOC+gkT9FREREpCebH7H/Rrduo3usyutH+qsgdtMLyev991/qH5p43LWluamvPkewdq/X8eub+Gcdn64/1CTqut3koz519X67dcb4nM2v7+Lw05d6jwb09K9oXw6vmk+N/5Pu5gfFe2f/YQa0iIiISEcyP9piHhY+xzXoa9oLej8P6GjVfqXGtkvgdftyuo1c/NAVbpypDs/uinOcOd6fnbPu1Oaw6vjTl6CPBfTsr+j+yDj9KKDj00sHxXtn/2EGtIiIiEhHMj8+HOZy09TX9TDvaUCvl37ZJ2YVl/VPQ9Ju6iu5m8mdhX13VgffdKe9Ozhn9dv2JJt7bkyc7gN9t593e/tXdH9kf6m5C+jxeufpQRf+YQa0iIiISEcuP5oFHK9nbzYXoa9qGfQ0oCe7W9TrH6pfVkl8077TNGVzm2DQBOl2NV7s0B/d3I13cNr2nENe37uzx5GAnv8VswvVQ0AvXSxf+O+9/A/zJsIXhDerAGCDpmx0GUCXEXQZIFw+2TonyQX058X1znVWX9VudssB3d3+NwvopiknjzCMoB7dcnc8oMfnHH57RkAvLuGY/RWjP3L8qWlAzw564B9mQL8gnKgBsEFTNroMoMsIugwQLp9snZOkArq+1rywaV399lWt4VgM6E3bk80vh6RcDuhhH4t2n4vlgJ6c81inti073pr6yQP6rD9sCURuAxrBiRoAGzRlo8sAuoygywDh8snWOUkqoOvlzkuXmj9f2WbQSwG9XfV3Ey5fgT7cNyMaen08oKfnfJSAHv8V+YA+7w9bApHbgEZwogbABk3Z6DKALiPoMkC4fLJ1TpIO6NcL77+AgB72n+gCerhdLwL6ZvlM9XFHAnp2zkdZwrFUzN33n14DHQc98A8zoF8QTtQA2KApG10G0GUEXQYIl0+2zkkM6KCrzb4hq7hc3oVjtu3G+K67IwE9P+eDA3q+SUZ3mvbEywE9PeiBf5gB/YJwogbABk3Z6DKALiPoMkC4fLJ1TpJeA720hOPD9a+B7ht4F+uaq/fjdbsPdPewkvbqbV+ym9NXoCfnfHhAz/6KbsO63Xwf6KXNonfDPtD5P8yAfkE4UQNgg6ZsdBlAlxF0GSBcPtk6J8ntwvFh8VLzsaXRz5alNdDtM/423Y2B7TLh8ZMI69ftM0faRw3WR51YAz0758MDevZXzJ5E2D5PZRbQS08iTP9hBvQLwokaABs0ZaPLALqMoMsA4fLJ1jlJLqB/XdzG7sNL2Ae62+HizV/bK7btXsxv/xJN2W5ctxqeORjc7I8H9OyclwT0hHX/d87+iu5l91jE5th5QE8OeuAfZkC/IJyoAbBBUza6DKDLCLoMEC7fm4pHyQV089TBeSvXVX1VS6CP7AO9if4cP1aw7uO+KWO3jO4uvsjS+NXxfaAn53yEgJ7/FV00Dy9uDgJ6ctAD/zAD+gXhRA2ADZqy0WUAXUbQZYBw+WTrnCT5IOT6SSqz5RrN071f5/8SuSYQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EEoGdPPY7tEF5+aS9JXdQigPAJHbgEZwogbABk3Z6DKALiPoMkC4nA+hZEB3xTzFfi4GRG4DGsGJGgAbNGWjywC6jKDLAOFyPoSyAd1dgx5zVTtwyINA5DagEZyoAbBBUza6DKDLCLoMEC7nQygd0Pv93383yeff/CF/Krk2ELkNaAQnagBs0JSNLgPoMoIuA4TL+RB6QEDvxw19VdvXyYNB5DagEZyoAbBBUza6DKDLCLoMEC7nQ+hhAS2lgsi9sMx+AeRPeck4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRg5DagCZyoAbBBUza6DKDLCLoMEC7nQygf0J/7gnmd/3q5UiC5bWcAJ2oAbNCUjS4D6DKCLgOEy/kQygX0wSbQPkKlMCC5vfwM4EQNgA2astFlAF1G0GWAcDkfQpmAXnwKYf9UbykBRO5789mAfgycqAGwQVM2ugygywi6DBAu50MoEdCfj7SMDyIsCERuAxrBiRoAGzRlo8sAuoygywDhcj6ELg7ofvVGv2rj8B158SBy11L5FJUnx4kaABs0ZaPLALqMoMsA4XI+hC4N6LaWZ628/K68XBC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQujSgP9TV8ps/HLwfD/V2FUcpIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yF0YUD/evRCc1yEfp3/S+SaQOQ2oBGcqAGwQVM2ugygywi6DBAu50PosoBu9t84slCjKWj34igERG4DGsGJGgAbNGWjywC6jKDLAOFyPoQuC+jPy+s3gmYVx+v8nyJXBCK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CFwV0cwH69dFff/YSdDEgchvQCE7UANigKRtdBtBlBF0GCJfzIXRRQP96upCbvv6X/N8i1wMitwGN4EQNgA2astFlAF1G0GWAcDkfQhcF9Od7Ntr44BqOUkDkNqARnKgBsEFTNroMoMsIugwQLudD6JKAbm4TPHWF+Vd3sgu2q9Vd++P3j6vVuy/ti91qtZ4f+/U2jv325y/zXx0c+e4/n+TECRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQujSgj95CWFPfRujDVPZNu960P357v1q9+bl9sR1+HB9bd+5mqOFjbFc3T3PiBIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIXRLQ9RrnewPauwj3Tdx21bpbrfqrw98/rt5+OvKRMzp3s7p7mhMnQOQ2oBGcqAGwQVM2ugygywi6DBAu50Po0oA+2cf3HlAMm/6K8GZ10ydslb83xz9xX+d+e19F8lOcOAMitwGN4EQNgA2astFlAF1G0GWAcDkfQl6BfhJ23VrlKm3X/fqK3bCC+YD7O3dXR/JTnDgDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0KugX4S+rXKu6pxu7v59ttuocWmXn7Rvmh+u23eiMOqN/rVzV9v337atL/Y1As20icen2n8De2r/h7E6aujIHIb0AhO1ADYoCkbXQbQZQRdBgiXk5m3f4JdOAzomu8f2+u+2+rf6sXN+M3dqqPu1HlAb9rfNYdW2ftT+/O393Xypk88OtPkG/pXEdTTV8dB5DagEZyoAbBBUza6DKDLCLoMEC7nS899oJ+GdnVFlbbr/gJxVbRt2Ha5W7892yxjE/Vb/fImjq1efv+l+bE5IHvi4UzTb9itxp+dvhpYzQH+J6zkvD+gkb9DREREZIxPInwa2nqNf9oXu2jffr1FtPBB596NTjAq2W2sq3jAieNMs2/owj3OMX01YECLiIiIdFxUIE0hvz7668+n+7oo6nv89l3TtptkzG/n2y107nDMpv5Me215X19yjqTNnrg/0+wbNpMN8DZHtsMzoEVEREQ6LiuQOpGP3kZY30LoCo6OplO7RcqTFy31moqDzo2VGQ1NIveXi5ubAB9w4v5M82/YTm4ZnL4aMKBFREREOi4rkOYS9JHbBJtbDL0A3bGr6/Tb+6jW5pLwOIZHt+pNOrd+vGDPJKC3XSTnTjw82Hv2DfUTwfsbCmevToAs8PcmQgRvVgHABk3Z6DKALiPoMkC4nO+8Cy/h1Zegl+8jbPrZFdA9TbDu2hURzbqL3XSvuTc/L6y0OB7Qm1EkJ058NKCHvTvi/NNXR0HkNqARnKgBsEFTNroMoMsIugwQLuc779L/H3i90cbSNejm2vTJLToKo1kq0a03bhZZbNpryNvuCu/CvX7tCueePqCbxxA+4MTjgD5coxHVvF58tQwitwGN4EQNgA2astFlAF1G0GWAcPnsrDvg0oCOC80Hpdx0tXtAj9mu3v2fPla3q7f/u1183O/kfCSgJ8/k7gN6N7yfOvE4oBef+r2bLNzY3beMA5HbgEZwogbABk3Z6DKALiPoMkC4fE/LneDiu7Dagh7X8ueDd6RZq/z/3XabwX29ffPX28k2Gk3wLu3CMdkGow/ozXBFOHfi0ZnG3zDcgFjfUjh9deq/DpHbgEZwogbABk3Z6DKALiPoMkC4fGbTLZDYxuDDq2Ve5/+Kl8i392/+n/4yblWm/z5edVGzi5XG085tH2/SXU8erhsP+zLnTjy6lj35hs1qvLvH9NUJELkNaAQnagBs0JSNLgPoMoIuA4TLqcJryOwDFuudZ3j5eU59S9/N+MW6/3HdvjPq3O3wLO3ubsLhl91jCB9w4vHtiLNvaJp523x4+uoEiNwGNIITNQA2aMpGlwF0GUGXAcLlZOLtcwE9WsdhPh9nO97LYje86PbBePPX27ZZ79oD6pftRnLt4V32bsc9mzrxENDTb+i33Ygmn746DiK3AY3gRA2ADZqy0WUAXUbQZYBwOZl4+2xA13zu69m9NxbpruY2VHE7vNhE005Xaey6ao3NnG+6c9S/7B5D+IATDwE9/YYuqEebfIxeHQWR24BGcKIGwAZN2egygC4j6DJAuHxe0S3ho9wkAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIfeSRl2OQv+OF40QNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSgZHbgCZwogbABk3Z6DKALiPoMkC4nA8hA1oygHLLE+NEDaDLCLoMoMsIugwQLudDyICWDJDcXn4GcKIGwAZN2egygC4j6DJAuJwPIQNaMkByu4IDwIkaABs0ZaPLALqMoMsA4XI+hAxoyYDI7RJoBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkrhPZBxE+OU7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRAXyXfP65G3Oz3X29Xd+QfgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAX2VGNAG9KPhRA2ADZqy0WUAXUbQZYBwOR9CBvRVUgX0zQ/9AxC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqCvEgPagH40nKgBsEFTNroMoMsIugwQLudDyIC+SgxoA/rRcKIGwAZN2egygC4j6DJAuJwPIQP6KjkI6FgD/fX27afNatUsh67eWa3e/Nwdvt5vV+1vNsMv4sVq9fZT/fO3991h6/v+AERuAxrBiRoAGzRlo8sAuoygywDhcr7EDOir5HhA/1Tl77svXRjHz/Xhf2pvO1w3Yd2m9H7X34hYJ3MV0H98P/rYwGoO8l95f0Ajf4aIiIjIBBPkKjka0HUJf/+l6ec6iXfNFh2xace6KeS4+FwdWF90rv5pSnkX16CbX9/F4dNr0Aa0iIiISIcJcpUcD+i4dNzvahc/1EXcXXGOxRu75t9tu3aj+qF+WQf0XXv66SVoA1pERESkwwS5Ssb7QDcN3Ad0XDne9AG8qUu7D+IqkSO8Z/tG77qAbj+26cq6xYAWERER6TBBrpLjAd1dQe6WYDQXmfsL1s1tgvv9LKDrlR9tQN+MPnUKZIG/NxEieLMKADZoykaXAXQZQZcBwuV8iRnQV8nxJRxNFn97v5oE9vGA7m4p7AK67W4DuiCcqAGwQVM2ugygywi6DBAu50vMgL5KHiugN2087wzocnGiBsAGTdnoMoAuI+gyQLicLzED+iq5P6DXi4fPAnrb7Ve3NaDLxYkaABs0ZaPLALqMoMsA4XK+xAzoq+T+gL5ZPHwa0MNmGwZ0wThRA2CDpmx0GUCXEXQZIFzOl5gBfZXcE9DzXTSOBHT/qvq9AV0sTtQA2KApG10G0GUEXQYIl/MlZkBfJfcFdPsAlW4Du+NXoG+6w+sPGtBF4kQNgA2astFlAF1G0GWAcDlfYgb0VXJfQNd3B9arM9pHoxxbA90+r3CzMqALxokaABs0ZaPLALqMoMsA4XK+xAzoq+TegB42ir7bHw/obreON3+9bZ/0bUCXhxM1ADZoykaXAXQZQZcBwuV8iRnQV8m9Ad3t8HwzPfxgH+jm4vO6XelhQBeJEzUANmjKRpcBdBlBlwHC5XyJGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkfnUvyJ/x0nGiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoycDIbUATOFEDYIOmbHQZQJcRdBkgXM6HkAEtGSC5bWcAJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyS3l58BnKgBsEFTNroMoMsIugwQLudDyICWDIjcrt9AcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkTuupJ9isqT40QNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQgb0VfLt/armZvGXX29Xd+ec489fjh4cvzsBIrcBjeBEDYANmrLRZQBdRtBlgHD5jFw6ggF9hbT5fCyhzwvozerd0YBuf3cCRG4DGsGJGgAbNGWjywC6jKDLAOHy/bl0DAP6+qj7uYne7x+PXYQ+g1ORbECXhBM1ADZoykaXAXQZQZcBwuVsRBnQ18h29ebn/sezVmssYUBL4EQNgA2astFlAF1G0GWAcDnZUHsD+gr5/nG47PztffoStAEtgRM1ADZoykaXAXQZQZcBwuVkQ+0N6CtkHNBD6u7qFdHr5sd+WXP1w6q7Wl2l9rq+YN0etI0l1Hf9wc2xs9+dAJHbgEZwogbABk3Z6DKALiPoMkC4nK8xA/r62Kzefpq9Va+Grml+0TXxpr3RsEnsKqD/+H54PQ/o7tg6tw3osnCiBsAGTdnoMoAuI+gyQLicjzED+vrY9deaezbNO7u4p3Bo4vW+f7PZueMuUnsdHxntwrGLN6sXzZsHSzhWc57+v7LinoBG/gYRERGROVbIFbLtLxa3VOHbLr6o34wmHi/kuJtu3TGO5PhtV8y7OKsBLSIiInIUK+Qa6VZsdIuht+2ijnE6DxG8qQ+rArp93a4AmQX0ZFWIAS0iIiJyFCvkWtmOEnoavE0TV4297o+s6njYr2O7ENDb6aoQA1pERETkKFbINbOJgp7sy9E28ehphas2oNtCXgro9pL2cM3abezKwZtVALBBUza6DKDLCLoMEC7nE8yAvmqq8H3z8yMEdLsNXrf3hgFdEk7UANigKRtdBtBlBF0GCJfzBWZAXx2Tum1uHzwS0JOdOu4L6H3X0Ov5VyyCyG1AIzhRA2CDpmx0GUCXEXQZIFzO15gBfXVMbviLLu6CN0q6C+jJMwrPCOh909D1uwZ0SThRA2CDpmx0GUCXEXQZIFzO15gBfXXsxvf7dfcARlNHJS9urHEyoIdL2PFLA7oknKgBsEFTNroMoMsIugwQLudrzIC+Ouob/vqLxpHJ3T7Qu9E+0Ltuk7vY+Pn0Fei+tjdegS4OJ2oAbNCUjS4D6DKCLgOEy/kaM6Cvj6p5h32f+6d2Lz2JsM7g9gkqBwEdD10Zto5u32yO2o6f0rIIIrcBjeBEDYANmrLRZQBdRtBlgHA5H2MG9BUy3mEjrkV3T1YZL2vun7bSvDoI6F3cMdge3G3CEVetd93dhEdB5DagEZyoAbBBUza6DKDLCLoMEC7nW8yAvkq6OB7u/xs17/gh3v3TCg8CuvnETX9wnLFbNr0bnnK4DCK3AY3gRA2ADZqy0WUAXUbQZYBwOV9iBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5X50G+RsKwIkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyO3AU3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkAOWWJ8aJGkCXEXQZQJcRdBkgXM6HkAEtGSC5vfoM4EQNgA2astFlAF1G0GWAcDkfQga0ZIDkdgEHgBM1ADZoykaXAXQZQZcBwuV8CBnQkgGR2xXQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIXXeyzyF8cpyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DZEm/dtAAAgAElEQVSgEZyoAbBBUza6DKDLCLoMEC7nQ8iARvn2frV683P/8vvH1erdl/3+6+3qbvp/q0P//CX3HbtVw93snXX882+349+kQeQ2oBGcqAGwQVM2ugygywi6DBAu50PIgEapA7pK2Y4qlo8F9Kb5xeW0+bwafU+8dRf//A8DWqY4UQNgg6ZsdBlAlxF0GSBczoeQAY3SBPRQxtvJq6/jtk0G9Ka79ty1efPe20/DP48DIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGNEoV0P9226/hqFdwPG5AV0V+M/+5+pab4Z9HApHbgEZwogbABk3Z6DKALiPoMkC4nA8hAxqlCug/fezXVny9ffvTowZ0dYZRJG/iYrQBLSdxogbABk3Z6DKALiPoMkC4nA8hAxqlCuj1tk/j7Wq9WV4DvR3dCLhpfozlF1Vyf6pf/3u/HGMzTebxKo3qy959aRaNjNZF95W+Gy+TblZ8dLc3dl9yaq00IrcBjeBEDYANmrLRZQBdRtBlgHA5X3QGNEod0F+7NRzfP775+d6AHm4KrGO3uWa9Wr37P+/bvP32ftS50wvQdaC/+flIQDerR/oubyO9XU/SfcnoCvhqzpP+r9RxMqCRv0BERETkEDsEpQ7o790ajq+3774cCeh+CUf1qvl3F61bXyhe77//0l943o2vOe9mV413TXVPl3D0p69/tWuXScer7mX/JQMGtIiIiEiHHYJSB/S+W8OxrX6+L6C3XSBvmwUWXU/34TxZwbGdBXRckV4K6Or/ridnves+cDf6kgEDWkRERKTDDkFpArpdw1Gv4Lg3oHt2XequuxPd7WcrONocnnzbkYDe9muq61fDdzU93n/JgAEtIiIi0mGHoDQB3a7hqFdwnBvQ9aqKybXi9tLzZAVH9d65AT05+/dhX5AmrL+e8awVZIG/NxEieLMKADZoykaXAXQZQZcBwuULM26EAY3SBHSVqXXK1is4zgjoZn+M1Woe0JHOkxUc51+Bnm5pN7nP0IAuDidqAGzQlI0uA+gygi4DhMvZnjOgYSKg633iYgXH/QG9aeN5NwvoZvHGdAXHwU2EsRbDgJaTOFEDYIOmbHQZQJcRdBkgXM4XnQGNEgFd9etdrOA44ybC/o7DaUA3F59304XSh9vY1UefE9CTNc8GdFk4UQNgg6ZsdBlAlxF0GSBcvqzixhjQKG2r1ms4mhUc9wV0VbptIh8EdL2GYzO722+6CLp5kMrpNdDNm7HSY8CALgsnagBs0JSNLgPoMoIuA4TLl5dchwGN0gb019u3/7tZwXFfQPcXh6vSnQV09av/+X665vmcR3lPd+GI808fYGhAF4YTNQA2aMpGlwF0GUGXAcLly0uuw4BGaYO4itn/0azgOOMKdPfAlNXolw2b1b/dzvdr3q6Ggu5+PrUPdKys7p6n0l7wNqDLwokaABs0ZaPLALqMoMsA4XIy5/YGNEx3RXnbPpr7eEC3O2q0zwjcrA4DetedY8xm1d5IWG/eMVqmce+TCNvr3fMvOQYitwGN4EQNgA2astFlAF1G0GWAcDlfdAY0ShfQVaPG6oujAV3ncXVst0PGm7/exv4dQ9tWv5qt4Nh3nwvaul4M6OpVQ9/YLXd7A7o0nKgBsEFTNroMoMsIugwQLueLzoBG6QK6vznwaEA3JXyzby8+r5dWV8wfVtjSbhzdH7cY0H2hTz500/1sQBeEEzUANmjKRpcBdBlBlwHC5QsSboYBfb1sD1dwYCByG9AITtQA2KApG10G0GUEXQYIl/MhZEBfLfEklh8EIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IG9NXy9WAPDhBEbgMawYkaABs0ZaPLALqMoMsA4XI+hAzoa6V5nOEPA5HbgEZwogbABk3Z6DKALiPoMkC4nA8hA/o62fY7aPwYELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoK+T7Y/tZwP6BeFEDYANmrLRZQBdRtBlgHA5H0IGtGRA5H51CuQvKAInagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyM3AY0gRM1ADZoykaXAXQZQZcBwuV8CBnQkgGS23gGcKIGwAZN2egygC4j6DJAuJwPIQNaMkBye/0ZwIkaABs0ZaPLALqMoMsA4XI+hAxoyYDI7QIOBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkrkvZx6g8OU7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRAP2M2q567Sz73/eOJD369vexkyyByG9AITtQA2KApG10G0GUEXQYIl/MhZEA/Y0YBvXr76fzPjQN69ebn6S8NaJniRA2ADZqy0WUAXUbQZYBwOR9CBvQzZrN69yV+2q36H8+gCuib9sftYUE/CojcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdDPmCGg64I+/7rxKKDrC86XXLw+F0RuAxrBiRoAGzRlo8sAuoygywDhcj6EDOhnzCigv70fmvhexgFdp/f6kf+uvQH9knCiBsAGTdnoMoAuI+gyQLicDyED+hkzCui2iauObmt4215Y/npbL3SeJvIkoKsX9Vm+3r79VK+pvqvXQI9yvD1Pc5p2sUd/6Ik/DZHbgEZwogbABk3Z6DKALiPoMkC4nG80A/oZc0ZAb5ZuFZwEdHVk/cuqin9a1Supm5sIN926jvbQ7jTN9/WHDudYzXmy/+YxJwIa+X4RERGRJSyRZ8zhGuh5QLfrM6ooHufuNKDjo/Ul5vX++y+xC0e/pDp+2MRpqhc3+9GhAwa0iIiISIcl8oyZ7MLRJPE8oLsjdpNL0NOArnp4PWrsJqD7I5oT9DvbxQ+zHK8xoEVEREQ6LJFnzHgf6Ejaw4Be2mLjSECvu5d3/QqQON8Q6pv6g/2hAwa0iIiISIcl8owZB3RcYZ4H9PbgBsKaIwE9u8pcv2yuXFeHd+doznrOo1aQBf7eRIjgzSoA2KApG10G0GUEXQYIl7OFZkA/a4Yrw/WzBZfWQLfPHJytuDhYA30Y0P3Ng9VHq5NOnnhoQJeFEzUANmjKRpcBdBlBlwHC5XyjGdDPmNFNhO1ijcNt7HZt+I6T98hNhOOArt6tPh+nM6DLxokaABs0ZaPLALqMoMsA4XK+0QzoZ8w4oCODDwN63zX0aCXHNKA37TZ204CuznQXFT066X58xEkQuQ1oBCdqAGzQlI0uA+gygi4DhMsXp1mPAf2MmQX0ety609sHd5NlHJOArj4SD1KZBnRzv+Cm21x68pRDA7osnKgBsEFTNroMoMsIugwQLl/WZWMM6GfM4hXoaN2qkauAHkp5O+7ppUd5HwT0bvX2f73vWnqyl4cBXRZO1ADYoCkbXQbQZQRdBgiXL2+zDgP6GTN9EmG9EKN9LneTxZNt7DbHrkBXNdw9q3sa0FWL//uwjrrP8vG20CdA5DagEZyoAbBBUza6DKDLCLoMEC7nG82AfsYMVVzf59c07jbWamzjdr8+j7fH1kBvug3wDgK6OcdNf1R91vpb7rwCXRpO1ADYoCkbXQbQZQRdBgiX841mQD9jxvtAD9eIY+O6/4xy3k1/vZ8cNNpAeiGgqx+6xxcOH7jbG9Cl4UQNgA2astFlAF1G0GWAcDnfaAb0M2YU0MMCjW10brfoOdp3+jzCUUD3vzgM6H45SPtuX+EGdFk4UQNgg6ZsdBlAlxF0GSBczhaaAS05ELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkTuV8dBvr8QnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3Z6DKALiPoMkC4nA8hA1oyMHIb0ARO1ADYoCkbXQbQZQRdBgiX8yFkQEsGSG7rGcCJGgAbNGWjywC6jKDLAOFyPoQMaMkAye0FaAAnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcrOBCcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkbtOZZ+j8uQ4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAX11bFYD6+mvvt6u7u77+DnH3H8QIrcBjeBEDYANmrLRZQBdRtBlgHD53iA6igF9dYwDevXm5/GvDGi5HCdqAGzQlI0uA+gygi4DhMv3BtFRDOirY7N696X9cbtavf30FN9hQBeEEzUANmjKRpcBdBlBlwHC5XwpGdBXxyig64Jenzo2iwFdEE7UANigKRtdBtBlBF0GCJfzpWRAXx3jgP72fvTiETGgC8KJGgAbNGWjywC6jKDLAOFyvpQM6KtjHNDfP9ZrOL7evv1Ur4y+i+6tqnpdX5seXZ3eDa/imOqD7TF3w3lrYkmIAV0QTtQA2KApG10G0GUEXQYIl/M1ZkBfHYsB/VPVvu++9AH9x/dxj2EcWR01xHEf0H/6OD5mN9nZw4AuCCdqAGzQlI0uA+gygi4DhMv5GjOgr47DJRxV7lbZ+/2XfR/QqzaS46rzpvm3SuSb/SigI503/bvNWXeR2fOAXs1B/kuPBzTy9SIiIiKLmCJXx+FNhF39jgK6yd+qkuv3q3fXcXC96d0Q0Df74d1tt53H+KABA1pERESkwxS5OoaArit4XMhDQLdHbJos3k4WNvcB3RZzs2J6YGdAi4iIiJzEFLk6Jg9SGS1r3o8COi4ut+m8mezU0Qf0TX++4df1YhADWkREROQUpsjVsZnl81JAt9eUm4AetfJwTLMLx+igaOf+4YbeRFgQ3qwCgA2astFlAF1G0GWAcDlfYwb01bE52Pr5MQJ608bz8hKOAxC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kaM6CvjicJ6G23nd3yTYQHIHIb0AhO1ADYoCkbXQbQZQRdBgiX8zVmQF8dlwZ0/4Eo6cU10O1+HXsDukCcqAGwQVM2ugygywi6DBAu52vMgL46Lg7obheOeH9xF47+I9X7BnRhOFEDYIOmbHQZQJcRdBkgXM7XmAF9dVwc0N0ud7vZPtDr9nTVu/0F6V08g8WALggnagBs0JSNLgPoMoIuA4TL+RozoK+OiwP66JMI1/3vRv8Y0KXhRA2ADZqy0WUAXUbQZYBwOV9jBvTVcXlAN7XcPrp7COh/bfeta45tHv9db8Px19thnccJELkNaAQnagBs0JSNLgPoMoIuA4TL+RozoK+OywM6VmZMnlbYrNnYDFtJtxef1+3jvw3ognCiBsAGTdnoMoAuI+gyQLicrzEDukxme9tdDCK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBnSZGNDS4UQNgA2astFlAF1G0GWAcDkfQgZ0mRjQ0uFEDYANmrLRZQBdRtBlgHA5H0IGdJkY0NLhRA2ADZqy0WUAXUbQZYBwOR9CBnSZGNDS4UQNgA2astFlAF1G0GWAcDkfQgZ0mRjQ0uFEDYANmrLRZQBdRtBlgHA5H0IGtGRA5H51FOTrS8GJGgAbNGWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpmx0GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQlI0uA+gygi4DhMv5EDKgJQMjtwFN4EQNgA2astFlAF1G0GWAcDkfQga0ZADllifGiRpAlxF0GUCXEXQZIFzOh5ABLRkgub36DOBEDYANmrLRZQBdRtBlgHA5H0IGtGSA5HYBB4ATNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkdsV0AhO1ADYoCkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNGWjywC6jKDLAOFyPoQMaMmAyF3Hss8hfHKcqAGwQVM2ugygywi6DBAu50PIgJYMiNwGNIITNQA2aMpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTdnoMoAuI+gyQLicDyEDWjIgchvQCE7UANigKRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0ZaPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbHQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNCUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgH56vr1fTXj35cJPr8877J7zblarm/7F19vV3fiX29XbT5f8VYjcBjSCEzUANmjKRpcBdBlBlwHC5UvSZ4oB/fQ8j4Cu/4o3P3evDGjpcKIGwAZN2egygC4j6DJAuHxJ+kwxoDF2o369gMcK6N3qv/7342cyoMvFiRoAGzRlo8sAuoygywDh8iXpM8WAxnjagP7+8XRAV7+/OVHJBnS5OFEDYIOmbHQZQJcRdBkgXL4kfaYY0BhPG9D7zWiF8wL1mo35uo0RBnS5OFEDYIOmbHQZQJcRdBkgXL4kfaYY0BjTgK5idrwmedOsju4jdle/im5uAno7vJ599uvt20/1h++28fvmdwvJvalOPrpK3bd0c/zNENCzv+sYiNwGNIITNQA2aMpGlwF0GUGXAcLlc/ptGQMaYxLQm8kNhbv+BsOmfKvQHXq6Cug/vp/cfTj5bBXQPzU/75oi7n43T+C4jr3t3+8Cuj3+7V/agJ7+XT2rOY//P88CxwIa+XIRERGRIxgjGLvpBed181az7qKq2SZYd20zx2/bXzZ7eKyjqteLn61efv+l+47md90J519enatd59EGdLu13WY1+ebu3AMGtIiIiEiHMYIxCujxAoq70QLkuEJcvbkeXtUB3Rzc7rMx++y0lTf9Je3pJehu8cZmtFLjbvimeolI/YvZuQcMaBEREZEOYwRjFLWbPnqnt/7FIV1PR8UO+9PFp2af7Ru4fWv5XsDuqF23PHpW7tWX1D8d+7sMaBEREZEeYwRjCOjvH/voHe9+Ua/GqA/ZTNZfDMsummPnn51eK94u3kA4hHV/G2HzsXpru/EBR/6uJZAF/t5EiODNKgDYoCkbXQbQZQRdBgiXT6XOaQxojCGgJ48mbEI19s6Im/9GWdse3FZtE7Xzz04Dur39cL4j9DjC4/B5QC+e+wSI3AY0ghM1ADZoykaXAXQZQZcBwuWLY67HgMY4EdCbNp53Dw3oYUOPxTcbmpM3HxttMW1Al4sTNQA2aMpGlwF0GUGXAcLlXNHVGNAYk4CerLPYdteMt2cF9OSzCw9HiVweHdVti9df5D5+BfqsZ7bsDeiXhBM1ADZoykaXAXQZQZcBwuUzq2cBAxpjEtDjRB6eb7KdrIGOvj0M6MntfctPF9xNlnGMbzQcNrq7Gz/+e7N07hMgchvQCE7UANigKRtdBtBlBF0GCJfPrJ4FDGiMyS4c4wUSfSJXQTvehSPenwX0fKONSUAPl5QnNwFuR5vatfttHNuF49wHeiNyG9AITtQA2KApG10G0GUEXQYIl8+LniUMaIxRQPcPKmmuAffZu4u1y8Oec+0+0JOAnn52dgW6L+DxTh7DRnhxlvY74v/edG8unPsEiNwGNIITNQA2aMpGlwF0GUGXAcLlS1tuwIDGmD2JsA7U9iEp7fP/Nt3Nf/MnEU4CevbZaUBXr5pjtuM10LvV7JChu9vV1+MnEY7OfQJEbgMawYkaABs0ZaPLALqMoMsA4XI66gxojnFAD7f11Z3a7X7x5q9x7bn7bXMR+CCgp5+drYHu99sYFjNXx08WZmzqv6P72KbdcuMvS+c+ASK3AY3gRA2ADZqy0WUAXUbQZYBwORV0DQY0xvTx2rHz8/Ack2bfjH7lxG7YR+MgoKefnd9EGAk8LubpswrbdRv9x5p4v1k+9wkQuQ1oBCdqAGzQlI0uA+gygi4DhMv35c5xDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByvzoC8uXl4EQNgA2astFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTNroMoMsIugwQLudDyICWDIjcBjSCEzUANmjKRpcBdBlBlwHC5XwIGdCSgZHbgCZwogbABk3Z6DKALiPoMkC4nA8hA1oyQHIbzwBO1ADYoCkbXQbQZQRdBgiX8yFkQEsGSG6vPwM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELldwIHgRA2ADZqy0WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM2ugygywi6DBAu50PIgJYMiNx1LvsYlSfHiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZsdBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0JSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrLRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUza6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6DJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDOjnxmY1sG7e+fa+/eEp+Hq7ujt899ufv5z+GCK3AY3gRA2ADZqy0WUAXUbQZYBwOd9PBvRzYxzQqzc/739EQG9W7wzoYnCiBsAGTdnoMoAuI+gyQLic7ycD+rkxitftavX20xMH9H1/wxEQuQ1oBCdqAGzQlI0uA+gygi4DhMv5VDKgnxvjeN02qzgMaAP6KXGiBsAGTdnoMoAuI+gyQLicTyUD+rkxjtcqnasXBrQB/ZQ4UQNgg6ZsdBlAlxF0GSBczqeSAf3cGMfr94/1Go4moLfDTYX7bqF0vb6jXsX89lP9+q46uj3urj2kWUI9P75iN5ysWwNd/du9t4311wv3Fg4gchvQCE7UANigKRtdBtBlBF0GCJfzuWZAPzcWA/qP7yNq41e7yTYdVUD/1PyqOvpPH9v3o4fbCp4eX5916Ok2oLtbF+vkNqDLwokaABs0ZaPLALqMoMsA4XI+1wzo58biEo4mfevwjWKOQ3bRwHUrr/fff4kwjjXTUcLVb9oDxsfXsbxuXt3su4DeTc98sIRjNQf5n2I5oJGvFhERETmKOfLcWLyJMC4HR09X77ZrMbZdJscn6oDurjjH4o1de0V5fvx68upu+NL4gAEtIiIichxz5LkxxGsdxPXPbTfvD8J2Nwni+vj4dfWBm+ad2SbP056OX3YB3a+PXvgeA1pERERkwBx5bkwepNJkbd/Dw7XkmnrpxnANed8EdBzXb9sxCeju+GkdxyHb8R2KBrSIiIjICcyR58Zmls/jfaBHF4+He/7OCOjx8f1R+9Eh7X2FXTa7jV1JeLMKADZoykaXAXQZQZcBwuV8rhnQz43DeD0I6E0bw7szA3py/GJADzt13C3/DXMQuQ1oBCdqAGzQlI0uA+gygi4DhMvZWDOgnx/3B/S2u1S8PS+gp8cfCeh919Drxb9hDiK3AY3gRA2ADZqy0WUAXUbQZYBwORNqgQH93Lg3oPt7Bc8M6Pnxm2HTjpv5fYa7aG0DuiScqAGwQVM2ugygywi6DBAuJ1ttb0A/P+4N6P5lVcDnBPT8+G4hdbzfNfbkNkUDuiScqAGwQVM2ugygywi6DBAu53PNgH5unHMFOmp3F0uWz7gCPT9+HS/H+0C3NyxuvAJdHE7UANigKRtdBtBlBF0GCJfzuWZAPzfuXwO96RYqnxfQ8+OXnkTYPrOwfXJLu9bjFIjcBjSCEzUANmjKRpcBdBlBlwHC5XyuGdDPjfsDunlUd72txl9v+0UYNccCenZ8t2ddfE/76W4TjjjDrrub8CiI3AY0ghM1ADZoykaXAXQZQZcBwuV8rhnQz40ztrGLi8nr9vbAM/aBnhy/nwRyd0hUdfecll2X0sdA5DagEZyoAbBBUza6DKDLCLoMEC7nc82AlgyI3AY0ghM1ADZoykaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN2egygC4j6OKGvroAACAASURBVDJAuJwPIQNaMiByG9AITtQA2KApG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzRlo8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg+b/Z+/setvGsgVb76rMFOCHYPo6043B+CFAdemiMciLUIAQBPH//0dDcvPjkCIpeSdejnzWeqhYEkXKvuscrOY9pOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgcv+2CnLomnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgchvQCE7UANigqRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0daPLALqMoMsA4XI+hAxoycDIbUATOFEDYIOmbnQZQJcRdBkgXM6HkAEtGUC55ZVxogbQZQRdBtBlBF0GCJfzIWRASwZIbk8/AzhRA2CDpm50GUCXEXQZIFzOh5ABLRkguV3BAeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5HYJNIITNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgcre97BcRvjpO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3d6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yEEBPS3T4eWh+mJf/69+4bT4cOXW/Z7ZTf9vlr+WN/y68fD0/DfH6H/DX//6+Z3/Kxf8c3+tojcBjSCEzUANmjqRpcBdBlBlwHC5RuSaINXD+g+8YrMO2717MBtkXd1N902A6vb/pyAbt4/cHNC/5xf8Q3/tojcBjSCEzUANmjqRpcBdBlBlwHC5etJtMVrB3TbeF2efv88VB4Wee2xuz21x17b+KcE9GnM1/anG/f0U37Ft/zbInIb0AhO1ADYoKkbXQbQZQRdBgiXryfRFq8d0KfprOypzz0q8tqsHHr2XC5zGPkZAX0q2rw54k0LJH7Sr/iGf1sD+h3hRA2ADZq60WUAXUbQZYBw+XoSbfHKAd0k5Riu3z7Fz1TkNVH5WGy9srziJwR080sVH7bZ1ePOxuVn+/Ff8S3/tgb0O8KJGgAbNHWjywC6jKDLAOHy9STaAgzoyLK4qq9J1qb5+tgco65bTfyweNyHb7d59+bHeE+/m71Dr6Vtuc9FQJcvXfk0I6f5Z4jy/Prxw5dj/+liGfb4SWY7XfkTFJuXv+Lasd/wb2tAvyecqAGwQVM3ugygywi6DBAu76XOPq+9hOO4POO5E3n9JX8f/pw/jrOhzeb/+DQ9vh5562eDh30+9JsUAT073JVPM9B8qpVztU1A/yu2PI9X+T2u7PTiTzDbvPgVV49N/m0PS7b/7j+R1YBGjiwiIiKyzWv3yPlwWHbscay2eeQdI2uPwxnYY7yzX77c3XHiKVY2Pxa72eS0ltfTMdp/ZgE9P1z79p1PM7Be6e3Z3cfn7/9pf+g+5Pmw+isu/wSXm8evuH5s8m9rQIuIiIgMvHqPxOnMcvXBRuSNLXo6DI/HlRVP81tOdO+/FtBrq56LY7QvlgG9OFzz3/HWGiufZuC8ehJ8COFpwcR4vNmvuPwTLDYffsWNY5N/WwNaREREZOD1e6Q9rTmtmnjejLyxHvvr8qaIO7ZvnRZLHOenZ7dYC+hjcYzHeTovDnfl0wysnuZeOS997j7McqcrS5XLzYeDbhz7GfzbGtAiIiIiA0yPnMrMW4+84pK4Y//48bl4fbjPRLEq4cUBPTtG8+4ioJeHO+5/muIX6wN6XL68cl+PdklH82GWv+JWQPebD7/i1rGnj4D/bb2I8D3hxSoA2KCpG10G0GUEXQYIl/djZw/uhN5xqLyrkTdE3UQ8Xi7rvbYG+iKgp33EToqAXhzu2qcZOF8L6PFrCucBvXUXjnLz4VfcOvYb/m0N6PeEEzUANmjqRpcBdBlBlwHC5f3Y2QP8/4g3GVcuTFhU2zJuXxh5fXkWzbyyPPn2gL72aYrDzhZrnBcBfew/VbcmY7nT1Wv9ps1fENCv+7ddA5HbgEZwogbABk3d6DKALiPoMkC4vB87e7xyQM9KrK/Nm8+SztL0xQG9aNtTs/tin8slHIvDXfs0xaeapeYioMevKTzddAZ6vnkR0KvHxv62ayByG9AITtQA2KCpG10G0GUEXQYIl/djZ49XD+jilGnfaReRN6zLnS5sm63Lnb35+ebIm3+RSle6O2ugF4dbrhpefpriF5wtFJkH9PQ7DQE9+xW3/wTLgF499hv+bQ3o94QTNQA2aOpGlwF0GUGXAcLl/djZ45UD+lzeqXi84fIQeVFxfele3ilitlzh5ZE3O3Zc7VfeheNheReO2eGufJrydyo/xjygx8/cr7BYuQtH+SdYbj7dhWP12G/5tzWg3xFO1ADYoKkbXQbQZQRdBgiX92Nnj9f/Ku9pJfL8HmnjadHzeG/i2Z2Xx68NiQ1fHnnlsc+H/ju2x28EXN4HenG45Z2TFy9PnMt1ye1CkvkZ6Idho7WbSy/+BMvNh19x49hv+bc1oN8RTtQA2KCpG10G0GUEXQYIl/djZ4/XvoiwTcrpBhNd7w23xzhNXxzdbdE/Lr8tb7iG7mnlLOnKXTYWtO/sNm1T88PwDdY730RYHG7tmwjLlyfazz/Warnf5/EL/4793TkufsXFn+By8/gVN479ln9bRG4DGsGJGgAbNHWjywC6jKDLAOHyfuzs8ep34Sjv+BD113Xm4/QtIH/891S33W0h/pyyd3rfReQNu9lh2kOxBjjoTsDOAnp+uCufZus3HHv2afbS7//+OHxH9upO+z/BcvPlX2p57Df82yJyG9AITtQA2KCpG10G0GUEXQYIl3czchfgNnZDrI3xdx4C9hRPlyt021fGx3FrjYfhtcU9k8fdXD/24ltKiv0vvsS73GX3sP00fXwvXi45zn/D4j7Qx0jRcU3F8ldc/AkWm4+/4tax3+xvi8htQCM4UQNgg6ZudBlAlxF0GSBc3kudffxm5GtcXw9cI4jcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdDrjPepKG5oJxOI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQ65yKVcXLRc9iQL8nnKgBsEFTN7oMoMsIugwQLudDyIBe5+vHuBHF+eAKjjUQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgNzjPb6whcxC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqA3Oa7etE46ELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIvdvayBHrgonagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyM3AY0gRM1ADZo6kaXAXQZQZcBwuV8CBnQkgGS23wGcKIGwAZN3egygC4j6DJAuJwPIQNaMkByewYawIkaABs0daPLALqMoMsA4XI+hAxoyYDI7RpoBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkbnvZL1J5dZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAfkuOhz/+zrzvdPjw5YcO/PXj4emHdoDIbUAjOFEDYIOmbnQZQJcRdBkgXM6HkAH9lhjQuxjQCE7UANigqRtdBtBlBF0GCJfzIWRAvyVvFtA/DCK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBvRbYkDvYkAjOFEDYIOmbnQZQJcRdBkgXM6HkAH9lhjQuxjQCE7UANigqRtdBtBlBF0GCJfzIWRAvyWXAX08tEQef/t0eGxaueFxePnrx+bRwxjQ3cPp1fPsUbmr75+HXT0N+3m65QCbIHIb0AhO1ADYoKkbXQbQZQRdBgiXM/EWGNBvyTKguwI+DEXb9O0/PsXDfrNo4sOHP6Nv+4eH3/9qX2wiuUjm+a6a1/7rc7GrMaD3D7ANIrcBjeBEDYANmrrRZQBdRtBlgHA5n3AG9FuyCOgma7vH56jgb5/ijHFbxo+x+eEh/uleP8fTw7uO3cNzbLPYVRfX7RPH8eWnlQOc5geYOCwB/jiNnGsBjRxZREREZBt75C1ZBPS4cOLUnVRu+7ZbcdEEbrtdU72P/cvdhsO7z93Ww6vx3sWu2kR+KB5PAb04wEN5gAkDWkRERGTAHnlLti4iPA8BPa6saHt2jOLmhQjosnKLddFPF7tqCnl672MR0LsHmDCgRURERAbskbdkPaDbC/n6gI4TwlG2TQQ/jO+L3i2u/lvf17Cr2Xub7caALg/QvDQ/wIQBLSIiIjJgj7wlF9Ebt9U4jAHd9/EyoE/Twubh+r/i1ZVddXfhKN5b3IVj5wA7IAv8vYgQwYtVALBBUze6DKDLCLoMEC6/PN0GDOi3ZBnQx754z2sBPT0c+3a41cbTZUDPd3VTQK8cYBNEbgMawYkaABs0daPLALqMoMsA4XIm3gID+i25uIiwf3y66Qx0x7m/Vd0ioBe78gy0bOJEDYANmrrRZQBdRtBlgHD5hd1WYEC/JfOA7u+F8bwd0MPW8yXK5y6Wj+VajuWuNtdAbwT0cg30BYjcBjSCEzUANmjqRpcBdBlBlwHC5US79RjQb8k8oMeebUp2JaCXN8mYerd7YXi1e9dyV5t34dg7wB6I3AY0ghM1ADZo6kaXAXQZQZcBwuV8whnQb8nFGego4nMsa1727fI2zeNp4uGk8mO8uSnm5a7Gr0pptp3dB3p5gNmNpndA5DagEZyoAbBBUze6DKDLCLoMEC7nE86AfksWa6DjuwTj+r+Vvh0WNg9fFNj07vD04/ju8/hlguWuuht2TBttBPT2NxFegMhtQCM4UQNgg6ZudBlAlxF0GSBcziecAf2WHIs7K//+V3y1dvvjv7tTwRd9O2z/4c94PNyEI84293e1iyZf7Kp57X/0t7XrdrkR0MsDbIPIbUAjOFEDYIOmbnQZQJcRdBkgXM4nnAH9liwCun/isb8G8LJvo4sfxsfRzPM7cjyW+x521S3pKE4sbwV03D26PcD6VySOIHIb0AhO1ADYoKkbXQbQZQRdBgiX8wlnQFfBxdesXGHrO8ZHELkNaAQnagBs0NSNLgPoMoIuA4TLyax6NqAr4baAHq9KvL45IrcBjeBEDYANmrrRZQBdRtBlgHA5X1YGdBXcFtCn7oLD524tyNP+pojcBjSCEzUANmjqRpcBdBlBlwHC5XxZGdBVcFtAf/0YK7HPh2srOAzod4QTNQA2aOpGlwF0GUGXAcLlfFkZ0FVw4xro8bYeV+7BYUC/J5yoAbBBUze6DKDLCLoMEC7ny8qAroKbLyKM+4JcWb/xbEC/J5yoAbBBUze6DKDLCLoMEC7ny8qAlgyI3L+tgRy5KpyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMjByG9AETtQA2KCpG10G0GUEXQYIl/MhZEBLBkhu6xnAiRoAGzR1o8sAuoygywDhcj6EDGjJAMntCWgAJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3KzgQnKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZG7DWa/R+XVcaIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQP6CsdDyYcv19/x9ePh6bU+zan7FH/8HY++fTo8JnZywwe8ugkitwGN4EQNgA2autFlAF1G0GWAcDlRUT0G9BV+pYCePksktAEtPwEnagBs0NSNLgPoMoIuA4TLiYrqMaCvcBzP9741TS5HwH//3Bd0MqBvwICuCCdqAGzQ1I0uA+gygi4DhMv5UjKgr/DLBHSbzUPUng+Hh2cDWn4KTtQA2KCpG10G0GUEXQYIl/OlZEBf4ZcJ6NOhqOXj4fe/DGj5KThRA2CDpm50GUCXEXQZIFzOl5IBfYXLgO6ytbuab6zXpjfbc8KnbolFxOfWVm34Xj78+vHDl3aF83a1fv9cLsBu3vt49RjNW/qXn55jAXW8MNbxefbWY7HK24CuCCdqAGzQ1I0uA+gygi4DhMu7rbOLAX2F1YD+x6fyWr7h4r4Pf84Den2r1YdNQP+ruL3GCpHMN36SeNgE9H99jsePXVj3Kd3X8ffP5YWR5/ECxcdnA7oqnKgBsEFTN7oMoMsIugwQLu+2zi4G9BVWA7oL0TZAu6Y9xYrkYx+jY0DPtzrGv/3y5cXDtm8fn7//Z/tznFZOT3fHeNw8RlfIj/1m7cnn5ijTB+w3nj5A93uey99h4rAk9bd8KWsBjRxYREREZAeD5ArrAd3VZROo7WtNbHZJ3DbuPKAXW0WSxg+XD68stT4Wiz8uPknzw8oxxssOz8PijfPQ0U/TKe1T99xpWCByKjaZMKBFREREBgySK8zvA91WZV+r3WttdY7t2bwwC+jZVlOIH9veXjxcW6Cx/ByrAT0eo/1hsdM+3bvtIvHLeD+tL3c+G9AiIiIiuxgkV1gN6MjRvkGPw8M+lceALrfqLuibHi8e3vDdJhsBvXOM9vHDsF28UAb06u1F2qUkBrSIiIjIHgbJFTbuwtExz9Tny7twTM9++1TU54cvi4c3BPRpPaB3jrEf0MXHfh5eC9YC+gJkgb8XESJ4sQoANmjqRpcBdBlBlwHC5f322sOAvsLVgC5uxvzzArqv2aKZz+sXEf60gD72B1xfwnEBIrcBjeBEDYANmrrRZQBdRtBlgHB5t3V2MaCv8PPOQD+u7iO4HtCLVdKn9qD7x3hRQJ+GO+GtX0R4ASK3AY3gRA2ADZq60WUAXUbQZYBwebd1djGgr/CSgD7uBvTDfB+z87/Xl3DMv0glLh/cP8aNa6C7rcbrDQ3o+nCiBsAGTd3oMoAuI+gyQLi83157GNBXuBrQ23fhmG11LPv34uH1gG7XcEznl+Ou0FeOsR/Qw8fuXhy3aN5jQFeGEzUANmjqRpcBdBlBlwHC5SvttYMBfYXrAT0urljeB3q21fAFKv3J3sXDGwJ6vKvzc7ez9lNdOcZ+QA8fu1v0PG56jluNGNAV4UQNgA2autFlAF1G0GWAcPlKe+1gQF/hekBvfhPhfKvjGL3D9wAWD28I6G7Tbk9tSnc/XDnGfkDPv4mw/w7D48GArg4nagBs0NSNLgPoMoIuA4TL19prGwP6CvP7QPffjD3P1mGbD3/uBXT3xdrjzaQXD28J6OIt0xek7B3jSkAPG3f7Gu7g8fu/uxPTBnRFOFEDYIOmbnQZQJcRdBkgXL6lBNcxoK9wS0DHTTMemsfTF2pvbTVd51c+vCmgx+YdVjpfOcaVgI71GuPC6mM8uHFJCSK3AY3gRA2ADZq60WUAXUbQZYBw+Yb22sCA/omsfrnf+wSR24BGcKIGwAZN3egygC4j6DJAuJwPIQP6hxnvfXHx5X7vGERuAxrBiRoAGzR1o8sAuoygywDhcj6EDOgf5nSYVkTcsg7jXYDIbUAjOFEDYIOmbnQZQJcRdBkgXM6HkAH9w3z9GN8YeD7Us4LDgH5HOFEDYIOmbnQZQJcRdBkgXM6HkAH945yHKwxnX2PyvkHkNqARnKgBsEFTN7oMoMsIugwQLudDyID+GRyn29NVAiK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBrRkQOT+bQXkwHXhRA2ADZq60WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM3ugygywi6DBAu50PIgJYMiNwGNIITNQA2aOpGlwF0GUGXAcLlfAgZ0JKBkduAJnCiBsAGTd3oMoAuI+gyQLicDyEDWjKAcssr40QNoMsIugygywi6DBAu50PIgJYMkNyefgZwogbABk3d6DKALiPoMkC4nA8hA1oyQHK7ggPAiRoAGzR1o8sAuoygywDhcj6EDGjJgMjtEmgEJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBrRkQORui9kvInx1nKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3d6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTN7oMoMsIugwQLudDyIC+X86H3//6wV18++ffuTcichvQCE7UANigqRtdBtBlBF0GCJfzBWVA3y8/HtDHwx8GdPU4UQNgg6ZudBlAlxF0GSBczieUAX2/GNDyM3CiBsAGTd3oMoAuI+gyQLicTygD+n4xoOVn4EQNgA2autFlAF1G0GWAcDmfUAb0/WJAy8/AiRoAGzR1o8sAuoygywDhcj6hDOj7pQ/ob58Oj8+nQ8NjPHroXz8dPnxp/vn6sXlpTO3uUbdlvOdweHpebPT144cvx+GFDRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kIM6Dvlymg//EpWrg9n3yMbH5+/v65S+njYXptetS+swjo4emuvZuA/tf4huCwBPkFVwIaOa6IiIjIHhbJ/TIFdFfBTTC3Z5bPw6nj+OEYp5vPEcfnePT1Y+Txccrqh+mf9mz04/P3/xSHMqBFREREBiyS+6UI6C6Zm4Juerg/8dzXcRPDkdPxw1DM/Vv7h81r3ZqO51P39JDXBQa0iIiIyIBFcr9MAd33bqze6Jc+d0uji8sEj21Xj+s7huf6E9H9s/GesacnDGgRERGRAYvkfpkCur9sMNK5P+ncvfr989jC3Yun4QLCIAJ6PGe9PGu9A7LA34sIEbxYBQAbNHWjywC6jKDLAOFyPsIM6PulvAtHRwT0ePFg08LfPhVnjZsX23XSxfWBEdDTDmIPBnRdOFEDYIOmbnQZQJcRdBkgXM5HmAF9v2wEdPN88088uwzo7jLC6eZ1BrQ4USNgg6ZudBlAlxF0GSBczkeYAX2/bAV088RTVHTZxuX7hltBXwS0SzgqxIkaABs0daPLALqMoMsA4XI+wgzo+2UroLvrBbtrBsuvVVm8tb9ntGugxYkaABs0daPLALqMoMsA4XI+wgzo+2UzoM+HD//v07BIo7ztxpTKsenKXTgeng3oynCiBsAGTd3oMoAuI+gyQLicjzAD+n7ZDOjmmf8ztnSfzHGT6DGVj8UZ6Om+dcfhPtAGdEU4UQNgg6ZudBlAlxF0GSBczkeYAX2/bAZ0d7e6/lTz8TCsc26ruGnjbpNTrIGOL05Z+SZCA7oinKgBsEFTN7oMoMsIugwQLucjzIC+X7YDukngKOPn4cZ1w303hptwRF+fp6sJi2cN6LpwogbABk3d6DKALiPoMkC4nI8wA/p+2Q7oWK/R0/TwdEK6D+phYfS5iOZDkd8GdEU4UQNgg6ZudBlAlxF0GSBczkeYAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkTu3y5BjlsZTtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZGLkNaAInagBs0NSNLgPoMoIuA4TL+RAyoCUDJLf5DOBEDYANmrrRZQBdRtBlgHA5H0IGtGSA5PYMNIATNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkds10AhO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyN0Ws1+k8uo4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNfrXm6wAAIABJREFUaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAX2PHA+Hh2vbfPt0eCwff/14eOqe/+ff1w9wdSNEbgMawYkaABs0daPLALqMoMsA4fL1ItrCgL5DmjY+/P7X9Y3WAvp4+ON6QF/fCJHbgEZwogbABk3d6DKALiPoMkC4fLWINjGg75Dz4X/+73kdr7AM6B4DWhY4UQNgg6ZudBlAlxF0GSBcvlpEmxjQ98f3z4eH0+HDl/2tDGi5DSdqAGzQ1I0uA+gygi4DhMtXi2gTA/r+aBdjDCuatzGg5TacqAGwQVM3ugygywi6DBAuXy2iTQzo++N4+PDl++excb9+/PDleDh0QX1u/u27uQvo0/S4S+7ucWzaPlEupZ7eWm60BSK3AY3gRA2ADZq60WUAXUbQZYBwOR9jBvTdEaeWT2P7NgH9r6Z3m55uqrqjW93RbPaPT/G4S+1lQB8PxYuztxrQdeFEDYANmrrRZQBdRtBlgHA5X2MG9N1x7tK56eP+TnbtmeTH5+//6Zr4sTuV3L7S3qqjfdim8ePzxV04Ytth4/lbL5dwHJYgv+lKQCPHFREREdnDIrk3hsUbx+EywqaMI3ebH/olGH1h9zd+/tS9Pg/ocQ11/DB/qwEtIiIiso1Fcm8MrXsuFjfHD8OdOaKJ+25+HnJ4HtBTIh/bk87ztxrQIiIiIttYJPfGcOZ5vIxwPJk8z95pjUfU8ayNmzcPt+joXl0UswEtIiIisolFcmeUXTzeTaP7t7099HzDx2HDi4D+9qmI4e6eHrOvBvc2djXhxSoA2KCpG10G0GUEXQYIl/M9ZkDfGefyPHBXvQa0/BBO1ADYoKkbXQbQZQRdBgiX8z1mQN8Xw+3mgu6Kv2RAP873akBXixM1ADZo6kaXAXQZQZcBwuV8kBnQ98V4xeDzeBnhxRroyOFrAb1azH1JG9A14UQNgA2autFlAF1G0GWAcDkfZAb0fXEqvjuwqeCijKdbaUQ67wb0dBO855W3GtBV4UQNgA2autFlAF1G0GWAcDkfZAb0XTHdm64lLiMsb+nc3+Cuvw/0TkAPX5nS38xj/lYDuiqcqAGwQVM3ugygywi6DBAu54vMgL4rzrNv2I6vUBkD+uKbCNcCejiFfTyMVxM+Ld86O8+9DiK3AY3gRA2ADZq60WUAXUbQZYBwOV9kBvQ98f3zfOXFsQ3dKaCHKwy708cbAd3dxeOxvBrx6eKt40bbIHIb0AhO1ADYoKkbXQbQZQRdBgiX80lmQN8T5SWE/eOHIqBn5bsR0N0mw+3vhh8Xby022gKR24BGcKIGwAZN3egygC4j6DJAuJxPMgNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3L9dghy3MpyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMjByG9AETtQA2KCpG10G0GUEXQYIl/MhZEBLBlBueWWcqAF0GUGXAXQZQZcBwuV8CBnQkgGS29PPAE7UANigqRtdBtBlBF0GCJfzIWRASwZIbldwADhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuV0CjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3G0y+0WEr44TNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgchvQCE7UANigqRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0daPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbnQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM3ugygywi6DBAu50PIgJYMiNwGNIITNQA2aOpGlwF0GUGXAcLlfAi974A+HiYeu2e+fjw8Df+94Ns//37h7kY29njb7r9+/KN/5dTt+4/9j/FzWf3kV38dRG4DGsGJGgAbNHWjywC6jKDLAOFyPp/qCejD73897wf08Vq5Xu5u5IaA3t796fCw2D+Y0AZ07ThRA2CDpm50GUCXEXQZIFzO59N7D+ixRE+Hw4cvw/PpgF7f3Ys/zMUr7af59qnf5/fP8EnoSwzoinCiBsAGTd3oMoAuI+gyQLicL6VqArpN3nHZxY8H9Gx3L/8wM759aru5zebhQ50P/Tnpt8KArggnagBs0NSNLgPoMoIuA4TL+VKqJ6C/fZoe/ISALnf38g8z49zV8qzIj4sVIjQGdEU4UQNgg6ZudBlAlxF0GSBczpdSPQH9/XO7QGKxBrr5YVjNHNfv7Xbj2u4+fGlXLj+1e2yaejhvfIrFGLGoufux3H1x1Njt47C/gWaL8aLHcdNmk8fYz1O/73hh6/nF28fP+tyd4p5fVjn/sAZ0TThRA2CDpm50GUCXEXQZIFzebZ1d6g7o4aq9/gxwKqD/1V3z1+3xODRw8+JDX6nDLTuK3Q9H7Xf27VNbuGMyL444fcB2r//1ud9hV8b9/raeXxxp/KzdapExlvu/xezDXgT0YckL/w+R4zKgkcOKiIiI7PK+k+RyzcUsoI9Rpv0/mSUcba8+Pn//T+zxPIRr90PzVLf5+TCcjo53H6NRx3XOcRO701q7zz9g172PcbXhoY/uYfX02vOLI42ftX9+ejr+IuWHNaBFREREtnjfSXJ51V8Z0ONJ31OsckhcRDh0Z+wxTjwPG56G89Hz3ZfLR57i5cfn9VXPiw84XmZ4HpZlnHefXxyp/KyP017jxcWHNaBFREREtnjfSTIV73BruDKgxxUX3z71DXtzQBe7K1cS9xna72/gPAvoaSfH/rxy/+plQC8+YHPQeOu42DqOuvX84khFjpcLnRetfDagRURERHZ530ky++aTYsXv/HzxkJov+yKVcgHxIkbPZQy3KyeKgO6u+AtO/WqJfrnFRUAvP+D4eAz0MaDXnl8eqbhasPw9Z608fFgvIqwIL1YBwAZN3egygC4j6DJAuLzbOrtUE9D9udwidIvzxJGyLwno2e6eFyl7nNZKBEVAdwuVy730X0N4ugzo5Qd8YUAvjzR81qLLy19h9mEN6IpwogbABk3d6DKALiPoMkC4vNs6u7z3gF4m8e0B3QdlmbVbu3suzj03Oxp2fOx3cN4N6OO4fnmZrGhAzz+sAV0RTtQA2KCpG10G0GUEXQYIl3dbZxcDetruJwR0s8+nqOjuMsPY/LQI6Nnt6uJrCC9uY9eel15+wJcH9OxIuwG9+LAGdEU4UQNgg6ZudBlAlxF0GSBc3m2dXSoO6Mwa6GsB3V2uN1wcOGy9DOjZt3Sf+4fzL1LpbpL3g2ugl0e6WAMd7xv+FrMPa0BXhBM1ADZo6kaXAXQZQZcBwuXd1tml4oCe3eTiYXXrG3dX/HA+fPh/n4aT0VGzTZzO78JRhHL/NYTxzuKEcdwVevEBXxjQyyONn3W4C0dsPj9b3X9YA7oinKgBsEFTN7oMoMsIugwQLu+2zi41B/S4auKYuA90ubvih6ZE/0/06Zi17Xf8PU3vHr9ApTvrG19D2D8co/W8uEnecbjf84sCen6k2Wd9jKOMrbz8sAZ0RThRA2CDpm50GUCXEXQZIFzebZ1dag7o5TcRrtwI47bdPc9O7w7Z2n8PYHd13lOx++NhvJrwqf8awo72iSG9+3PEF99E+KKAnh+piOKVbyJcfFgDuiKcqAGwQVM3ugygywi6DBAu77bOLlUH9Hhfuuns6/y6uxt3t/ihz/DhLhi///vj8I3ah/77UHqehq8hDKYXim9AKT7giwN6dqQiiofni29GXHxYA7oinKgBsEFTN7oMoMsIugwQLu+2zi51B3TcamNcKXweW/pluyt/mC7H6/P3cXxq3H3c4KP4GsKBvmyLpcvlB3xxQJdHmkdx8b8VZv9j4nG53GMLRG4DGsGJGgAbNHWjywC6jKDLAOHybuvs8r4DWl4LRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZH7twuQw9aGEzUANmjqRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3d6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRm4DmsCJGgAbNHWjywC6jKDLAOFyPoQMaMkAyW0+AzhRA2CDpm50GUCXEXQZIFzOh5ABLRkguT0DDeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5HYNNIITNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgcvtFKghO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3d6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yFkQL8/ToeWP/6OR18/Hp5+/jEQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKg3xvHw0AktAEt+zhRA2CDpm50GUCXEXQZIFzOh5AB/b749ulw+PCl+eH7576gDWjZx4kaABs0daPLALqMoMsA4XI+hAzod0WbzUMunw+Hh2cDWq7hRA2ADZq60WUAXUbQZYBwOR9CBvS74nQ4PI4Pjoff/zKg5RpO1ADYoKkbXQbQZQRdBgiX8yFkQL8nvn+O9RtBk86PRUA3Pxy6pO5+/vClXSz9NDz/0LR389bz+P5jd/p6E0RuAxrBiRoAGzR1o8sAuoygywDhcj65DOj3RCTzxXNdQB/LSwubgP5X/3P//Ic/23b+9qmv7fGHDRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/nkMqDfE6fDZfb2AX2MxR3Twujm4ff/dG95iJe7k8/DiedzeSr7+fmwhPhtni8DGjmsiIiIyC4myXviOCzRKIiALhdyxMPxJndRzKcI6CGcFys4DGgRERGRAZPkPbEd0Mfxi1W6NB7XepyGM83fPnU/9Us3lis4DGgRERGRAZPkPbEZ0N8/j4uju2QeT0hPZ5qPkdLxxGIFhwEtIiIiMmKSvCdOWwHdfr/KSBHQTVg/jO/tmvk8Wwq9CbLA34sIEbxYBQAbNHWjywC6jKDLAOFyPrkM6PfEeesiwq2Abp6fnZnuF29cuweHAf2ecKIGwAZN3egygC4j6DJAuJxPLgP6PbG4jd2pX+78VIbysOHGGeju5PN5XDG9BSK3AY3gRA2ADZq60WUAXUbQZYBwOZ9cBvR7Yv5FKk01Nx08BPRsTcZKQPdroLs1HMfL20kvQOQ2oBGcqAGwQVM3ugygywi6DBAu55PLgH5XnMuv8o67Qg934ZhdFTheRLi8C0f3w//9dLmUegEitwGN4EQNgA2autFlAF1G0GWAcDlfXAb0u+L752kV9Dm+aTBauf8ClW6L4bR0S3E/uyGlj4f/9fHaCg4D+h3hRA2ADZq60WUAXUbQZYBwOV9cBvT7or1asAvhNqW7H6ZvImyruH29/F6V5TcRPnetfXUFhwH9jnCiBsAGTd3oMoAuI+gyQLicDy4D+p3RhnPP+F2DT7Pnn57LgO7Sua3nP4vFHFdXcBjQ7wgnagBs0NSNLgPoMoIuA4TL+d4yoN8dfSoPa57L1RqHYSFHEdDx/MPzqfiuwqsrOAzod4QTNQA2aOpGlwF0GUGXAcLlfG0Z0BJM2Xy6voLDgH5HOFEDYIOmbnQZQJcRdBkgXM5nkwFdN+PdOaYb2n3/fH0FhwH9jnCiBsAGTd3oMoAuI+gyQLicDygDum5Ow107pi8x/Hr9HhwG9HvCiRoAGzR1o8sAuoygywDhcj6gDOi6+foxrhg8D9cctqeir3yNdwsitwGN4EQNgA2autFlAF1G0GWAcDkfUAZ05ZyHm3PEUo7TePeOfRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/l+MqCr5zje3O65C+hb+tmAfkc4UQNgg6ZudBlAlxF0GSBczteTAS0ZELl/uwA5bG04UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRg5DagCZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyQ3NYzgBM1ADZo6kaXAXQZQZcBwuV8CBnQkgGS2xPQAE7UANigqRtdBtBlBF0GCJfzIWRASwZEbldwIDhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMi9+yLVAzo18KJGgAbNHWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3d6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNHWjywC6jKDLAOFyPoSqC+hvnw4tD9MT//x79w2nw4cvt+z3ym76fbX8sb7l14+Hp+G/eS5+v13SR0PkNqARnKgBsEFTN7oMoMsIugwQLqcaqKOygO7zskjM41bPDtwW0Fd3020zsLrtzwjoy99vHwNanKgJsEFTN7oMoMsIugwQLqcaqKOugG77sgvG75+HwsQCuj12t6f22Gsb/4SAXvn9XglEbgMawYkaABs0daPLALqMoMsA4XI+hOoK6NPh97/GHyM1qYBuk3Yo4/Nq3f6EgF75/V4JRG4DGsGJGgAbNHWjywC6jKDLAOFyPoSqCugmYsdw/fYpfqYCugnax2LrMXQnfjyg136/VwKR24BGcKIGwAZN3egygC4j6DJAuJwPoWoDOpI3ruprkrXpzb5vx2BuUrY9Uzx/3Idvt3n35sd4T7+bvUMXHd7s6vFin4uALl+68mm2f78rn3v9aF8/fvhy3P91DOh3hBM1ADZo6kaXAXQZQZcBwuWd0rlCVQHdROXibPJOQPeX/H34c/44srTZ/B+fpsfXA3pM5sXnKS74mwf07HBXPs3273flc18crf8gH/61fbOQAJHbgEZwogbABk3d6DKALiPoMkC4vFM6V6groM+Hw7Jjj2NZzgP6GDXZluXw+PF5XL7c3e3iKVY2Pxa72WR1SfJ0jPafWUDPD9e+fefT7P9+e597Otr8gzQvfv9PsZfDkr3f9adxEdDIUUVERET2qaxJ4lRxufJhI6DHM8anw/B4XOvwNL/dRff+awG9tuq5OEb7YhnQi8M1/33Y+TQ7v9+Vzz3ufvFBlr+MAS0iIiIyUFuTtKdeZ7dJ3gjoca1x80L70xTIx/atzbPj2or+lPDLA/pYHONxns6Lw135NDu/35XPPRxt+UGWy00MaBEREZGBGpvkVCbmekAXl+Md+8ePz8Xr0z0uTumAnh2jeXcR0MvDHfc/zfbvd+1zD0db+SAzDGgRERGRgVqb5DgU9NWAHsJzIh4vl0xfWwN9EdDTPmInRUAvDnft02z/ftc+93C0lQ+yD7LA34sIEbxYBQAbNHWjywC6jKDLAOHytdzZptaAbhO5S9r1gF425QsDursp3Gwt8vnyIsLbA/rap9n+/QxouYoTNQA2aOpGlwF0GUGXAcLla7mzTVUBPavcfqXvzWegZ8uCXxzQi3XFp2b3xT6XSzgWh7v2abZ/v2ufe3m0rSUcFyByG9AITtQA2KCpG10G0GUEXQYIl6/lzjaVBXRxurbPxouAHlYZTxffzdYOz978fPMSjvkXqXTX8u2sgV4cbrkie+tbBi9/v2uf+9Y10BcgchvQCE7UANigqRtdBtBlBF0GCJev5c42VQX0ubxL8ngL5CGgIyL70r2878VsqcSLA3p+7LgrdHnzi4flXThmh7vyaXZ+vyuf+/IuHA+X98ZbA5HbgEZwogbABk3d6DKALiPoMkC4fC13tqkqoNt7vI1pOL//3HjK+TzeaXl25+XxK0tiw5cHdHns82G4CfNj/1GW94FeHG55V+rFyzu/35XPvbgPdPlB9kHkNqARnKgBsEFTN7oMoMsIugwQLl/LnW2qCuhubXKcbG1/6ipxuD3GafpS7m6L/nH53X/t4/6bSC4CeuUuGwvad3abtpk7fh/3zjcRFodb+ybC8uWd32//c299E6EBXRFO1ADYoKkbXQbQZQRdBgiXr+XONnUF9OyuFBGJ7bdft1E5fAPJH/891W1364o/p+yd3ncR0MNudpj2UKyvDrqTxLOAnh/uyqfZ+/32P/fQyisfZB9EbgMawYkaABs0daPLALqMoMsA4fK13NmmsoCegnJMxPPQjad4ulxv3L4yPo5bazwMr80DetrN9WMXq5K7fU77X3yJd7nL7mH7afr4Xry8/fvtfu750WYfZB9EbgMawYkaABs0daPLALqMoMsA4fK13NmmuoC+c66utYZA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAvgfG22QUd5x7WxC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqDvgVOxYvvq6goERG4DGsGJGgAbNHWjywC6jKDLAOFyPoQM6Hvg68e4ycf58Ius4DCg3xFO1ADYoKkbXQbQZQRdBgiX8yFkQN8F5+FWGqtfoPIGIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yFkQN8Jx5Wb1r0hiNwGNIITNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgcv+2BDlqdThRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQga0ZGDkNqAJnKgBsEFTN7oMoMsIugwQLudDyICWDJDc5jOAEzUANmjqRpcBdBlBlwHC5XwIGdCSAZLbM9AATtQA2KCpG10G0GUEXQYIl/MhZEBLBkRu10AjOFEDYIOmbnQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3X6SC4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkNqARnKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZHbgEZwogbABk3d6DKALiPoMkC4nA8hA1oyIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgJQMitwGN4EQNgA2autFlAF1G0GWAcDkfQgb0L83p0PLH37dt/f3zYeTppnd8/XjjhksQuQ1oBCdqAGzQ1I0uA+gygi4DhMupBuowoH9hjmMO35bQZUAffv/rhncY0OJETYANmrrRZQBdRtBlgHA51UAdBvQvy7dPh8OHL8/RxTcVdLPhQ//j6baCNqDFiZoAGzR1o8sAuoygywDhcqqBOgzoX5U2m4e4PR/GMr7ylnGzJo27+t7HgBYnagJs0NSNLgPoMoIuA4TLqQbqMKB/VU6Hw+P44HjT+eQyoNvoftzZNjCgxYmaABs0daPLALqMoMsA4XKqgToM6F+UJoaLM8hN6EYNx7LoeOXrxw9fjuX1grOAbh706z6aN5cLOua76N9dbnOx3xUQuQ1oBCdqAGzQ1I0uA+gygi4DhMvpTDOgf1XGZC45j5cIPnabfPjX7ALDWUA/n/ogPs4uRFzuIjJ5ts3Ffp+fD0te41e+4CKgkaOKiIiI7GOT/KKcVs4AN7nbVe05TiC3Z40fn7//Z3x9HtDn2MMxUrlfRn25i9Vt5vs1oEVEREQmbJJflLVVz6dhVUecXB5ieGQe0HEOu1yk8bS2i6eLbS72a0CLiIiITNgkvyi7lw2eh/qdr/JYC+jjGMNslrH4AAAgAElEQVTH2Z08zkVAL7ZZWT1iQIuIiIgM2CS/KDsB3S6xmOq3YCWgm6eGGD4VVyXOdrHc5pZbcyAL/L2IEMGLVQCwQVM3ugygywi6DBAu39ZkaxjQvyin1YDubpYxfM/glYDu7mPXfhvLSBfQl7tYbmNA14UTNQA2aOpGlwF0GUGXAcLlfKcZ0L8o57XbyB378j3fGNCXcby2CwO6bpyoAbBBUze6DKDLCLoMEC7nO82A/kVZLEQ+tWl8Gu4td7oloLtFIE0cz9Yzr+1iuY0BXRdO1ADYoKkbXQbQZQRdBgiXb++yJQb0L8r8i1Saxv3j7+mrUW4J6O4t7X8f5ltc7mKxjQFdGU7UANigqRtdBtBlBF0GCJdfUmZzDOhfldlXcZ8O5ZniJoOvB3T//mPZ4Ru7mG9jQFeGEzUANmjqRpcBdBlBlwHC5ReV2QwD+lelSdyxY8/dwouxj9tvE3y6EtDNi10V91+O0p98Xt/FfBsDujKcqAGwQVM3ugygywi6DBAu5zPNgP5laa/t6xq4Tenuh+NwUvl6QB8Pw108jrHqud3b09Yu5tsY0HXhRA2ADZq60WUAXUbQZYBwOV9pBvSvSxvOPbFwebhdxu//nn/J4Mobxn4unnza3MV8GwO6LpyoAbBBUze6DKDLCLoMEC7nI82A/pXpw3ZaodydOX7cWmpRBHS5qDnu/Pywu4tyGwO6LpyoAbBBUze6DKDLCLoMEC7nE82AlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIvdvS5CjVocTNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgchvQCE7UANigqRtdBtBlBF0GCJfzIWRASwZGbgOawIkaABs0daPLALqMoMsA4XI+hAxoyQDJbTsDOFEDYIOmbnQZQJcRdBkgXM6HkAEtGSC5Pf0M4EQNgA2autFlAF1G0GWAcDkfQga0ZEDkdv0GghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByT1+kYkC/Ik7UANigqRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0daPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbnQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM3ugygywi6DBAu50PIgJYMiNwGNIITNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgchvQCE7UANigqRtdBtBlBF0GCJfzIWRAvzXHw8Tjy9767dPuO75+PDxd3cf6Rt/++ff+2xC5DWgEJ2oAbNDUjS4D6DKCLgOEy1czaRMD+q0pA/rw+18veeurBfTx8IcBXQ1O1ADYoKkbXQbQZQRdBgiXr2bSJgb0W1PE6ulw+PDlBW/9GQF97TNtgMhtQCM4UQNgg6ZudBlAlxF0GSBczmVSiwH91pSxenrZKg4DWn4CTtQA2KCpG10G0GUEXQYIl3OZ1GJAvzVlrDZFfK1cSwxo+Qk4UQNgg6ZudBlAlxF0GSBczmVSiwH91pSx+v1zrOFo0ne4pPA8ruo4Hh7iifFqwy6gT7OrD7t39iupx4AunxwePjRvbPc8bFQc8hTrsXfjG5HbgEZwogbABk3d6DKALiPoMkC4nM83A/qtWQnoY3FJYRPJUbLxQ7NFR1fVzVP/+BSP+30M7+xSe2jj2ZPjww9/lgFdHtKArgsnagBs0NSNLgPoMoIuA4TL+XwzoN+ayyUc5zgT3KRt+0p/4rk/FX3sXjtHDX/7FCeN26p+jH11z/f/TG1cPNnmcf+wCOj5IS+XcByWvPqfpWUe0MghRURERK5ilrw1lxcRDs+cu/PBwxqOLqSbwu1XWfRnp+M8cb92eni1fzna+PLJh+FYU0DPD2lAi4iIiGxjlrw1U6y2J5LjnHN5M7t+DUf8c+pfiuydrjk8zt8YVxcObTx78lQ8LAN6dv88A1pERERkE7PkrZl9kUqXsaf5dxLGGo5hBUdZtk0D9+uauyxuAvxhfE+zXdfGyyePxcMpoC8OaUCLiIiIbGCWvDXHRT6PFwoODTuk88NzWcMt023suoAu7mrXPe7aePFksYfyLhyLQ3obu5rwYhUAbNDUjS4D6DKCLgOEy+l6M6DfnLVYPR+KG2F0izfGe3D8YEAvtxlv1TE7pAFdE07UANigqRtdBtBlBF0GCJdfGm0TBvRbsxGrEbT9vTUemoftVjcH9LSEY/HkxhnoxSEN6JpwogbABk3d6DKALiPoMkC4/IJeW2BAvzXbsXru11S0aziOQ0vHxtHBi4C+ZQ307OEioKdDGtA14UQNgA2autFlAF1G0GWAcPklwTbHgH5rLmJ1atzT+H0p//dTfJHgcA+NSOdFQM9uuPGwdheOh427cCwPaUDXhBM1ADZo6kaXAXQZQZcBwuV8vhnQb81lrI7JO7x0PPyvj/HTcFPn83Af6FlAj7d8Pq7dB3p8crgt9Npt7I6ega4OJ2oAbNDUjS4D6DKCLgOEy/l8M6DfmstYbZp2uJ1dtO55usnc8psIZwGd/ybCxSHjO1f2QOQ2oBGcqAGwQVM3ugygywi6DBAu5/PNgH5rVs72DnfEGNZVNKE8BG1/v7l4z0VAj/fE6944LG8+zvfWP/zwZ7kGen7I83gB4xaI3AY0ghM1ADZo6kaXAXQZQZcBwuV8vhnQb83aconI5OnLActtiri9DOi2hw/Fz08XTw4PH5r39F///XR5yPPU2+sgchvQCE7UANigqRtdBtBlBF0GCJdfEmxzDOh74LR/OjjH9YXOOyByG9AITtQA2KCpG10G0GUEXQYIl/MVZUDfAd8/X1uSfDvj5YKLe0q/EERuAxrBiRoAGzR1o8sAuoygywDhcj6EDOg74OvHHzhXvODUf9lgu0rj6cq2OyByG9AITtQA2KCpG10G0GUEXQYIl/MhZED/+nz//COpu+Drx7ggcfiWliSI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQvzqnw4+l7pLxfhvTVYUJELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoH91Tj+3n5+H+9j92EltRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyP3bDOSQNeJEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkoGR24AmcKIGwAZN3egygC4j6DJAuJwPIQNaMoByyyvjRA2gywi6DKDLCLoMEC7nQ8iAlgyQ3J5/BnCiBsAGTd3oMoAuI+gyQLicDyEDWjJAcruEA8CJGgAbNHWjywC6jKDLAOFyPoQMaMmAyO1FhAhO1ADYoKkbXQbQZQRdBgiX8yFkQEsGRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyO03ESI4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAX2/nA4tf/wdj759OjwmdvL14+Hp8tlv//x7/22I3AY0ghM1ADZo6kaXAXQZQZcBwuVEOPUY0PfK8TAQCf0zA/o4ZvkWiNwGNIITNQA2aOpGlwF0GUGXAcLlRDj1GND3SZPLhw9fmh++f+4LOhnQqxjQNeFEDYANmrrRZQBdRtBlgHA5n0oG9F3SZvNw4vh8ODw8G9CSxYkaABs0daPLALqMoMsA4XI+lQzou+R0KGr5ePj9LwNasjhRA2CDpm50GUCXEXQZIFzOp5IBfY98/xzrN4KvH9t07gK6u67wsXjh0MV1vKV/uT1zfRxfGNZAd9vGW+PixLVrCycQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5FDOg75FI5jlNQP/jU3lV4XiZYfewCej/+hyPHyOWI5H7gB62bat6JaAPS5Bfcx7QyCFFRERErmKW3COnlfPD7WWFbVa3y6O7uj7Gv/0S6fbp/kR1ZHJTzu1Z7Ajoc2zbPOhq+2IJhwEtIiIiMmCW3CPHYWFGQVvGT/0Pbf6O96eLH8bLDs/D4o3z0NFPUzHHcwa0iIiIyDZmyT2yEdDj0o32hymCj+0p6Cagx/tFP3RPRzoPAV2sqTagRURERHYwS+6RjYCOMH4+tTXcXTQ4f/wwbBcvlAF9Kq899C4cdeHFKgDYoKkbXQbQZQRdBgiX8ylmQN8jp/WAfhxebYL526fifPHVgP7+efa14AZ0TThRA2CDpm50GUCXEXQZIFzOp5gBfY+c1y8izAd0t8vp3hsGdE04UQNgg6ZudBlAlxF0GSBczqeYAX2PLG5jd2rb+DKgZ3e6uxbQz0NDty8a0DXhRA2ADZq60WUAXUbQZYBwOZ9iBvQ9Mv8ilbh88DKgHxZvuRbQz11Dzy9A3AKR24BGcKIGwAZN3egygC4j6DJAuJxPMQP6LjmX1/zFXaEXAb28scZuQI8vju81oOvBiRoAGzR1o8sAuoygywDhcr7EDOi7ZLyr8/N41ngZ0P0XqAw3sNs/Az3W9vIWeFsgchvQCE7UANigqRtdBtBlBF0GCJfzJWZA3yftNYJd87Yp3f2wDOj2mwj7sO7vs7ET0P3XErYnsx+f1+/yMQeR24BGcKIGwAZN3egygC4j6DJAuJwPMQP6TulvPDfdfO4ioKctnp6vroEebsIRG52Hqwk3QeQ2oBGcqAGwQVM3ugygywi6DBAu5zvMgL5b+kAeVjpfBHQXx4diIcfuRYSxt2Fn5/F9GyByG9AITtQA2KCpG10G0GUEXQYIl/MVZkBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR+7cZyCFrxIkaABs0daPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbnQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyO3AU3gRA2ADZq60WUAXUbQZYBwOR9CBrRkgOS2ngGcqAGwQVM3ugygywi6DBAu50PIgJYMkNyegAZwogbABk3d6DKALiPoMkC4nA8hA1oyIHK7ggPBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELnHL1IxoF8TJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM3ugygywi6DBAu50PIgJYMiNwGNIITNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgchvQCE7UANigqRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0daPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbnQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqDvkONh5Cme+fpx+Klg9cnbNvr2z7/334bIbUAjOFEDYIOmbnQZQJcRdBkgXL6aSZsY0HdIEdCHD1/aZ35yQB8PfxjQ1eBEDYANmrrRZQBdRtBlgHD5aiZtYkDfIVPfng87qXtTQF85wBaI3AY0ghM1ADZo6kaXAXQZQZcBwuVcJrUY0HdI0bfnw3YkG9ByC07UANigqRtdBtBlBF0GCJdzmdRiQN8hRd9++3R42NrMgJZbcKIGwAZN3egygC4j6DJAuJzLpBYD+g4p+vb75y6gx1Zufjgcfv9r+PnyyeHhw/OpWz89bNQ9eXhsfzzNrk9cB5HbgEZwogbABk3d6DKALiPoMkC4nG8xA/oO2Q7o4fLC7qz06pPjww9/lgE9bNNmtgFdF07UANigqRtdBtBlBF0GCJfzLWZA3yGXa6CnDH6Y/ll9ss3j/mER0Oc4+dw86PZ8sYTjsAT5PWcBjRxRRERE5Dp2yR0yuwtHcbK5+W+3BqOJ5PZM8taTD/3DIqCHPZ5jpYcBLSIiIrKJXXKHlPeBjtIdMjjuCt1eWvi48eSpeFgGdP/scAADWkRERGQDu+QOKQM6rg3sMrhfDx1bNAW8+uSxeDgF9Gm4gLDYssSAFhERERmwS+6QqW+bPJ7WQMcp5o7uPPPak0VPl3fhaPdzmL6UxdvY1YQXqwBgg6ZudBlAlxF0GSBczreYAX2HlH1bnEe+JaCX24y36jgfintvGNA14UQNgA2autFlAF1G0GWAcDnfYgb0HVL2bdyGY9nK0xKOxZMbZ6CHXfUrOQzomnCiBsAGTd3oMoAuI+gyQLicbzED+g5ZBPTjC9ZAzx4uAjr21u7agK4JJ2oAbNDUjS4D6DKCLgOEy/kWM6DvkI0z0LMbbjxsPLl6F44pq+NlA7omnKgBsEFTN7oMoMsIugwQLudbzIC+Q+bfRLhyy+fj7pPDbaHXbmN39Ax0dThRA2CDpm50GUCXEXQZIFzOt5gBfYdMffvt086XDr7gmwib/3YFfYo10Kf+7njbIHIb0AhO1ADYoKkbXQbQZQRdBgiX8y1mQN8h5X2gy28inF7ZfnJ8+OHPcg30eba783A14SaI3AY0ghM1ADZo6kaXAXQZQZcBwuV8ixnQd0gR0P2p6PFSwOaHw7AcY/XJ4eHD86l787BR3Al62Og89fY6iNwGNIITNQA2aOpGlwF0GUGXAcLlfIsZ0NVyfaHzDojcBjSCEzUANmjqRpcBdBlBlwHC5XxFGdCVMV4uWNzQLgEitwGN4EQNgA2autFlAF1G0GWAcDkfQgZ0ZZz6Lxvs73+XBZHbgEZwogbABk3d6DKALiPoMkC4nA8hA7oyvn6MO2ycDz+ygsOAfkc4UQNgg6ZudBlAlxF0GSBczoeQAV0b4/02pqsKEyByG9AITtQA2KCpG10G0GUEXQYIl/MhZEDXR9zE4wfWbzwb0O8JJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyL3byXIEavEiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDI7cBTeBEDYANmrrRZQBdRtBlgHA5H0IGtGSA5DafAZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyQ3J6BBnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgcrsGGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyG1AIzhRA2CDpm50GUCXEXQZIFzOh5ABLRkQuf0iFQQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IG9N3w/fNh4o+/1zb5+vHwNPx3/bWfBSK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBvTdMAvow+FxZRMDWl6OEzUANmjqRpcBdBlBlwHC5XwIGdB3QxPQD8PP56agXz2S90DkNqARnKgBsEFTN7oMoMsIugwQLudDyIC+G8qAbgv64XITA1pejhM1ADZo6kaXAXQZQZcBwuV8CBnQd8MsoJsHH75cbGJAy8txogbABk3d6DKALiPoMkC4nA8hA/pumAX083EI6CaaD4ff/xp+LtdAdy89PJ+6TefP9m/49mlYS33q99e9urrAegYitwGN4EQNgA2autFlAF1G0GWAcDlfZQb03bB+BvpY3pZjHtD9Sx/+nAX08IZuXxcBPbzaB/bAYcnr/7oNs4BGjigiIiJyHbvkblhdA32Ms8X9w1lAn+K5NomLgD6Oz7b/LAP6HLtrtp3fJ8+AFhERERmwS+6GMqBP/Tnicl3G08V/H4Ztp4Bu/vvYP9vuYBnQxz6cz4tT0Aa0iIiIyIBdcjcs7gPdr8cYzhQf21wuA3pY1NxG8hTQx+LZx7WAXrk08dmAFhEREZmwS+6GWUA/Dk8Nl/t1AVwG9HE8X32cAro4i9219zKgT7dcQNiCLPD3IkIEL1YBwAZN3egygC4j6DJAuJyvMgP6bhjitw3p/mZ1Tf9OzAO6SOXiLhxTMMezy4DuI339i8JLELkNaAQnagBs0NSNLgPoMoIuA4TL+SozoO+GKYmPw2ninYBepvJtAR3fcTiuENkGkduARnCiBsAGTd3oMoAuI+gyQLicrzID+m6YAro9T9x1b9HDHS85A726hKPjXCwS2QKR24BGcKIGwAZN3egygC4j6DJAuJyvMgP6biiSuInh7i4ZTf/OvtB7PaBvWgM9v3zwfG0ZByK3AY3gRA2ADZq60WUAXUbQZYBwOV9lBvTdsLiNXRe4i7tmvOwuHA9FgccXs0yHOG3cjmMAkduARnCiBsAGTd3oMoAuI+gyQLicrzID+m4oA3pYxDF8n0r7RFPUi/tAD3d8XrsP9LE7hx1vix3NbmN39Ax0NThRA2CDpm50GUCXEXQZIFzOV5kBfTfMvolwWMRxjFPR7dWEiy9SuembCIdT2adpo66gT66BrgcnagBs0NSNLgPoMoIuA4TL+SozoO+GWUAPBTzdHLqt41lAd+nchvGfZUAPz05nruPGdf8d5TzchGO+tvoSRG4DGsGJGgAbNHWjywC6jKDLAOFyvsoM6LthHtD9OecujMfenQd0vPTwfOpOMs+fnVY4n6K+h0XPUdT7C6CfDej3hBM1ADZo6kaXAXQZQZcBwuV8lRnQ759r65kzIHIb0AhO1ADYoKkbXQbQZQRdBgiX8yFkQL9XxusB52eufxKI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQ75XT8G2C56tfK5gAkduARnCiBsAGTd3oMoAuI+gyQLicDyED+r0y3Kfj6neipEDkNqARnKgBsEFTN7oMoMsIugwQLudDyIB+t4w31Lh6RWACRG4DGsGJGgAbNHWjywC6jKDLAOFyPoQM6HfMcby/3U8HkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgcv9WghyxSpyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQNaMjByG9AETtQA2KCpG10G0GUEXQYIl/MhZEBLBkhu8xnAiRoAGzR1o8sAuoygywDhcj6EDGjJAMntGWgAJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3a6ARnKgBsEFTN7oMoMsIugwQLudDyICWDIjcBjSCEzUANmjqRpcBdBlBlwHC5XwIGdCSAZHbL1JBcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuAxrBiRoAGzR1o8sAuoygywDhcj6EDGjJgMhtQCM4UQNgg6ZudBlAlxF0GSBczoeQAS0ZELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoCUDIrcBjeBEDYANmrrRZQBdRtBlgHA5H0IGtGRA5DagEZyoAbBBUze6DKDLCLoMEC7nQ8iAlgyI3AY0ghM1ADZo6kaXAXQZQZcBwuV8CBnQkgGR24BGcKIGwAZN3egygC4j6DJAuJwPIQP6Vfj++VDw8Pz89ePhafjvkm+fDo+LZ/7598VWx24/F5usbbrD6fDhyw2bXd0rIrcBjeBEDYANmrrRZQBdRtBlgHD5JQk1x4B+FX4soI+HPy76tdno8PtfF5usbbrHbQF9fa+I3AY0ghM1ADZo6kaXAXQZQZcBwuWXJNQcA/pVaAL6YfbEejoHNwX0+fA//3exmQEtPwsnagBs0NSNLgPoMoIuA4TLL0moOQb0q/DTA7rdYRm/BrT8LJyoAbBBUze6DKDLCLoMEC6/JKHmGNCvwk8P6Pb95T4MaPlZOFEDYIOmbnQZQJcRdBkgXH5JQs0xoF+FjYAeE7j5oV0aHTnbBfSpXSzddfQpFk7Pe/vYbNnstO/aYZNy026X/SrpxR4vjtjtsCUe3PIBFiByG9AITtQA2KCpG10G0GUEXRTDhEIAACAASURBVAYIl19eeAMG9KtwJaCjXg8f/hwC+h+f4pk2kNf6NU5Sn4ZAXgnofpeR2Is9Xhzx+Txe4Ph4ufnKBzgsea0/3IxZQCNHFBEREbmOXfIq7Af0Ke5Id+xPAbc32GhDtr11R3cK+HIFxblL52bDYa/LJRzHeOs59tzt8Wm2x9kRm8/Rve1cfICnvQ9gQIuIiIgM2CWvwm5AN/+NF09Tv3ane5sfunC96Ndh8cZxXMG8COhybchTscf+jc2zj+URx4UcpyHMZ5sb0CIiIiLb2CWvQnkf6K5Vy4Ae87UJ1z6gx4UW6/06BPB5XNS8COjpHcc2zss9zoK5P+LIeGZ7trkBLSIiIrKNXfIq7Ab0sViI0Qd0/8Rpo1+HM8/TZYTzgG6eH64W7Hax2GNxPvxYBnR7YeF8acjWB7gAWeDvRYQIXqwCgA2autFlAF1G0GWAcPnmsLvAgH4V9pZwFK8Vd+EoHl/0axm4/VKNeUB/+3SYBftijxdH7G/K0dIH9P4HuASR24BGcKIGwAZN3egygC4j6DJAuHxr111iQL8KewFd3Pb5xoA+l4snYr8vCuiLI/Y35fj9r7MBLU7UANigqRtdBtBlBF0GCJdfFHczDOhX4aeegS7Xgwy3er4I6NlXsVw7A30abm93MqDFiRoAGzR1o8sAuoygywDh8i1Nt44B/SrcGNDHmwJ6vIfG83QZ4UVAzw53GdDTNYazxwa0OFETYIOmbnQZQJcRdBkgXN6PnT0M6Fdh9zZ2K3fh2O3X8ftTprdc3oVjdnON5R4XRxxfbj6mAV09TtQA2KCpG10G0GUEXQYIl68X3RYG9Ktw7T7Qs7syX+nX6SZz/Xueni8C+jysjY6Ty8s9Lu48PX66c3yBigFdNU7UANigqRtdBtBlBF0GCJdv7bpLDOhX4aXfRDjv1/KUc1e5T7MdxddtxyancU30eDXhWhH3i56HI/bfW9hdSri+efkB1kDkNqARnKgBsEFTN7oMoMsIugwQLr8w7woM6FdhP6D7m2AcPvy5HtDdXTcep13Nlmccu7gdNhn+nS40bA9wscfLI8YFif/uTobvf4BVELkNaAQnagBs0NSNLgPoMoIuA4TLucprMaBfhSsBHbdhfmh6dX4PjSF3z+Pt6uaXEPaPH4pNxk3jzs7xrss9RjM/zIP6cWPFx/wDrILIbUAjOFEDYIOmbnQZQJcRdBkgXL457C4woN+S62uNf1UQuQ1oBCdqAGzQ1I0uA+gygi4DhMv5EDKgecZbZlycp74fELkNaAQnagBs0NSNLgPoMoIuA4TL+RAyoHnG7+OeXx54VyByG9AITtQA2KCpG10G0GUEXQYIl/MhZEDzfP0YN7k4H+52BYcB/Y5wogbABk3d6DKALiPoMkC4nA8hA/oNOA93zJjdXuOuQOQ2oBGcqAGwQVM3ugygywi6DBAu50PIgH4TjuMd5+4URG4DGsGJGgAbNHWjywC6jKDLAOFyPoQMaMmAyP1bCXLEKnGiBsAGTd3oMoAuI+gyQLicDyEDWjIgchvQCE7UANigqRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0daPLALqMoMsA4XI+hAxoycDIbUATOFEDYIOmbnQZQJcRdBkgXM6HkAEtGSC5zWcAJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyS3Z6ABnKgBsEFTN7oMoMsIugwQLudDyICWDIjcroFGcKIGwAZN3egygC4j6DJAuJwPIQNaMiByG9AITtQA2KCpG10G0GUEXQYIl/MhZEBLBkRuv0gFwYkaABs0daPLALqMoMsA4XI+hAxoyYDIbUAjOFEDYIOmbnQZQJcRdBkgXM6HkAEtGRC5DWgEJ2oAbNDUjS4D6DKCLgOEy/kQMqAlAyK3AY3gRA2ADZq60WUAXUbQZYBwOR9CBrRkQOQ2oBGcqAGwQVM3ugygywi6DBAu50PIgJYMiNwGNIITNQA2aOpGlwF0GUGXAcLlfAgZ0JIBkduARnCiBsAGTd3oMoAuI+gyQLicDyEDWjIgchvQCE7UANigqRtdBtBlBF0GCJfzIWRASwZEbgMawYkaABs0daPLALqMoMsA4XI+hCoO6G+fDjP++Pv6e06HD19e/5OtHvjWj/givv0zuUdEbgMawYkaABs0daPLALqMoMsA4XK+oAzoewjo44s+5Ev2m90fIrcBjeBEDYANmrrRZQBdRtBlgHA5n1AVB3TP+fD7Xzdv/CYB3ZZ+d9jvn39yQRvQ4kSNgA2autFlAF1G0GWAcDmfUAb0Lx/QbTY/9T+fD4eHn7hrA1qcqBGwQVM3ugygywi6DBAu5xPKgP7lA/p0ODyOD44v+bRXMaDFiRoBGzR1o8sAuoygywDhcj6hDOgioL9+/PClXW7cnu+NZcdjLn/9eGhP/o4B3T0u3thuHJn7/XPzQ3fN37CbcbNyn98+DZtNdbxKs78i2psjPV7sa/zc82NffNDFMePCxNi03Kz8M2yByG1AIzhRA2CDpm50GUCXEXQZIFzeT7A9DOh5QP8rLtQ7j1ftlbl6+PBnn6zDVX1xAnd41O2oidj/+ty/N8K6T9H5PpuY/cenWy4MHJN5/qHLfY2fuzh2v9PZB10cswjo2WbTn2EbRG4DGsGJGgAbNHWjywC6jKDLAOHyDZ24gQF9np9Ifnz+/p/2hy4fz/053mMsPT4epsePz+OK5POQsd2b2iXL7ePuJh/trpvn2zct9tm9/BSb756DPq2cCl7sa/zc3bHbV/oPvPigF8c8Tv8LoNhs3N3EYUn6z/0SZgGNHFFERETkOnbJPKAjKMeVGqchgR/7h0OwPg1veJoyNPY0XvN3HtZExPOLfbYx223WbL97rndt1fPl54tdtMd+mL9QftCLYx6HU86zzcbdTRjQIiIiIgN2yTygH9deHHu1KdD2p+nau2Pbq8fZlYVjEDcbPwy7fbrYZ/PquMpi98LE3csGz/PAn9ZLd8udlx/04pjHWUcPm60sGjGgRURERAbsknlAz1ZLtGsZmhebLB3uHdeFZ3epXtCl9elQrsIYt46GXe623+eU19fu7LET0MO+xgPMPmm3JHr2QS+OeRwWncw2W/4Zng1oERERkQm7ZD2gh8v/FgE9dOhEBHVx2d52QJf7nF69FtCn1YCe7asM6DKFlx/04pgR0MvNVgL6AmSBvxcRInixCgA2aOpGlwF0GUGXAcLla7mzjQG9GtDHPk67F6fuXA/o6aYY7bs3A3q2z62A7sO4aObz2v3k5vsyoOUHcKIGwAZN3egygC4j6DJAuHwtd7YxoNcC+nQYryZcPwO9dWO5x+2Anu/z9oBerEg+tXtf7GsnoGcfdDugZ5sZ0HXhRA2ADZq60WUAXUbQZYBw+VrubGNArwT0dGOMIaCni+xmS4mXe2q32wjoxT5vX8Ix/yKV7jrA5b621kAvP+h2QM82M6DrwokaABs0daPLALqMoMsA4fK13NnGgF4J6DE0myBdvwvH4rYb5aV5GwG93OfNAT3cZnrYeGVfZUAv7sIx2/VGQC83M6DrwokaABs0daPLALqMoMsA4fK13NnGgF4/A/3Qv3bob4w83F25S83zcLflOBU89udx/wz0bJ+3B/R4Y+nni5Pc0+cbA3r86sT2t1p80K2AXmxmQNeFEzUANmjqRpcBdBlBlwHC5Wu5s40BvbYGuv9mvuNwYeBp/H6/8ZsIh6vvnsavGmy32lkDvdjn7QHdHabbpO3j8psQh33NAnp4pf+qwfKDXhxzuMPHxe9jQFeEEzUANmjqRpcBdBlBlwHC5Wu5s40BvRbQw30pfv/3xzFEu1tU/DmV7HTfjfEmHF05bwX0Yp8vCOjicNN3tJT7KgP6f/T3t3tcvPPpeeWY5+nCx2IzA7ounKgBsEFTN7oMoMsIugwQLl/LnW0M6PX7QB8jLcuvFWz7eIzduFvGcO1dBGi8tH0f6Nk+XxLQY+FOG872Nb+I8DjbsPygl8c8D6+VmxnQdeFEDYANmrrRZQBdRtBlgHD5Wu5sY0C/J4q7cLwyiNwGNIITNQA2aOpGlwF0GeH/t3dvTY4jeZrec3c107bDSillsTtpqmaq+0LRuymrKfb2RdXKaGXFSZUyvv83EoE/Dg4QB9Ij+WQQ/vwuupMnAAx73e1ttBMwy4DIcn4RskBviQVat3OiBmCDpmxmGWCWEWYZEFnOL0IW6C2xQOt2TtQAbNCUzSwDzDLCLAMiy/lFyAK9JRZo3c6JGoANmrKZZYBZRphlQGQ5vwhZoLfEAq3bOVEDsEFTNrMMMMsIswyILOcXIQv0lligdTsnagA2aMpmlgFmGWGWAZHl/CJkgVYOJNzvUsgei+REDcAGTdnMMsAsI8wyILKcX4Qs0MqBhNsCjXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIw4bZAE5yoAdigKZtZBphlhFkGRJbzi5AFWjnAcOvOnKgBZhlhlgFmGWGWAZHl/CJkgVYOKNyefwY4UQOwQVM2swwwywizDIgs5xchC7RyQOF2CQfAiRqADZqymWWAWUaYZUBkOb8IWaCVAwm3PyJEOFEDsEFTNrMMMMsIswyILOcXIQu0ciDhtkAjnKgB2KApm1kGmGWEWQZElvOLkAVaOZBweydChBM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcSbgs0wokagA2aspllgFlGmGVAZDm/CFmglQMJtwUa4UQNwAZN2cwywCwjzDIgspxfhCzQyoGE2wKNcKIGYIOmbGYZYJYRZhkQWc4vQhZo5UDCbYFGOFEDsEFTNrMMMMsIswyILOcXIQu0ciDhtkAjnKgB2KApm1kGmGWEWQZElvOLkAVaOZBwW6ARTtQAbNCUzSwDzDLCLAMiy/lFyAKtHEi4LdAIJ2oANmjKZpYBZhlhlgGR5fwiZIFWDiTcFmiEEzUAGzRlM8sAs4wwy4DIcn4RskC/BV8/7576R4fdh9/uvMM/Pu32r9oAEm4LNMKJGoANmrKZZYBZRphlQGQ5vwhZoN8CC/QkCzTCiRqADZqymWWAWUaYZUBkOb8IWaDfAgv0JAs0wokagA2aspllgFlGmGVAZDm/CFmg3wIL9CQLNMKJGoANmrKZZYBZRphlQGQ5vwhZoN8CC/QkCzTCiRqADZqymWWAWUaYZUBkOb8IWaDfgpkC/eXjbrf74ef2LfuX4/nx7rl+S/fC1W+rHux273+p/t0W6PNH44l0G18+vv/l0GxhDhJuCzTCiRqADZqymWWAWUaYZUBkOb+6WaDfgukCHY13Fy+d3/Lnz/F4X7fdruG2b6s/NPu2065VNeemQHf9ebCNc4H+a/vvxm4M+KOcw5kWaGSPkiRJ6+wlb8FkgT5EdW7+6+vn6L7n6hunitvye4hKfFp+2/m/6o2e4hx0FOj2ydE2quK9f/n6j+QALdCSJEkte8lbMFWgzzU2likf6yJcNeP2VHIstTi1BTlORMc/5t52bE41N1urC3TXn0fb6J7vWaAlSZJa9pK34OvnYT2t+uuhrbxxtvj8lmi154dRtqPt9r84PFTPz72tc+oKdN+TR9voqnvPAi1JktSyl7wFEwU6OSl9GDzuLqBRN+P6R4OhPsk887ZWtTqjKdA/fmpr83gbo8o9CVng748IEf5YBYANmrKZZYBZRphlQGQ5u7lZoN+EiSUcyYXmlppxvda5tVig258UtgW6+3nhxTYs0GVxogZgg6ZsZhlglhFmGRBZzq9uFui3ACjQh6Y8d0s4dv/b/9lf084CXTAnagA2aMpmlgFmGWGWAZHl/OpmgX4Llgv00hKO8R1R5gr0sb0sXfcjwg+/nV95Gry1YYEuixM1ABs0ZTPLALOMMMuAyPJNbW3AAv0WTBToK9dAd78VHG/pYql0s+A5uQpHdVb6+eXlYhsW6LI4UQOwQVM2swwwywizDIgs39TWBizQb8HUZezSq3A8zZ9a7t422tLMierz632B/uNTe8XpwTYs0GVxogZgg6ZsZhlglhFmGRBZvrmxdSzQb8HidaAP7XWgJwt0c/OT9gJ282eg4+lT/HSwefU0uIFKuw0LdFmcqAHYoCmbWQaYZYRZBkSW86ubBfotuO5OhLO/DqzeXv0S8HnpRHX98LAbFOimnI+2YYEuixM1ABs0ZTPLALOMMMuAyHJ+dbNAvwWTBbq5cEZzdni2QPfXkH5eeFt7pY0f/u1js3hj37xY7Wu4DQt0WZyoAdigKZtZBphlhFkGRJbzq5sF+i2YLtBx6eZmefLCHVLiCs9PK2+r6/i+WaXRvXrcdU2624YFuixO1ABs0JTNLAPMMsIsAyLLOaUtWKCVAwm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNDKgYTbAo1wogZgg6ZsZhlglhFmGRBZzi9CFmjlQMJtgUY4UQOwQVM2swwwywizDIgs5xchC7RyIOG2QCOcqAHYoCmbWQaYZYRZBkSW84uQBVo5kHBboBFO1ABs0JTNLAPMMsIsAyLL+UXIAq0cSLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgVYOJNzvUsgei+REDcAGTdnMMsAsI8wyILKcX4Qs0MqBhNsCjXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIw4bZAE5yoAdigKZtZBphlhFkGRJbzi5AFWjmgcNueAU7UAGzQlM0sA8wywiwDIsv5RcgCrRxQuD0BDXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwu0KDoQTNQAbNGUzywCzjDDLgMhyfhGyQCsHEm4LNMKJGoANmrKZZYBZRphlQGQ5vwhZoJUDCXd7IxUL9F05UQOwQVM2swwwywizDIgs5xchC7RyIOG2QCOcqAHYoCmbWQaYZYRZBkSW84uQBVo5kHBboBFO1ABs0JTNLAPMMsIsAyLL+UXIAq0cSLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgVYOJNwWaIQTNQAbNGUzywCzjDDLgMhyfhGyQCsHEm4LNMKJGoANmrKZZYBZRphlQGQ5vwhZoJUDCbcFGuFEDcAGTdnMMsAsI8wyILKcX4Qs0MqBhNsCjXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznF6EiC/Qfn3aVp/6Jv/y2+IHj7v0v12x3ZTPNtiofpt/55ePuuf3PV/n6eW4XE/vLgITbAo1wogZgg6ZsZhlglhFmGRBZzupAtQILdFOfkwp9WCub1xXo1c3U72lNvtcCnbJAI5yoAdigKZtZBphlhFkGRJazOlCtvAJd9ee6NJ47ZtOgsQJd7bveUrXvqTfTBTobEm4LNMKJGoANmrKZZYBZRphlQGQ5vwiVV6CPux9+7v4ZRZUq0FVtbpvxKV1C0rFApyzQCCdqADZoymaWAWYZYZYBkeX8IlRcgT43y664/vEp/k0V6HNh3yfv7op8zwKdskAjnKgB2KApm1kGmGWEWQZElvOLUNEFOipv/KrvXFnPfbrpt11hPlfZ6kzx8HFTfOu31x/ex2eazSztOunh503tL7Y5KtDpSytHc7mvqkCPv9LomKf39OXj+18Oy1/FAr0hTtQAbNCUzSwDzDLCLAMiywtNZ0VxBfpcmkdnkxcKdPOTv/c/DR/Hyd3z23/81D9eL9BdZR4dT/KDxmGBHuxu5WhG5gt0eswXe2oO4v1f5y8UEpBwW6ARTtQAbNCUzSwDzDLCLAMiywtNZ0V5Bfq024177KFrxMMCfYhGWbXL9vH+pVu+XF/N4zlWNu+Tzcw6TtXrfh/Vfw0K9HB31ccXjmZkvkAPjrnf0/Agzi9+/Ueyud3Y0vf8ZtICjexQkiTpCgUWkzhVnK58mCnQ3Rnj46593K13eB5ezqP+/FqBnlr1nOyjejEt0KPdnf/zaeFoRhYKdHrM3aZHBzH+IhZoSZKkVonFpDr9ml4Geq5Ad2uNzy9U/+oL8qH66PnZbm1Fc0r49gJ9SPaxH1bn0e5WjubyO84U6MExt3saH8R4qYkFWpIkqVVqMTmmFXq6QCc/Nzw0j/cvyevtNTySFR83F+jBPs6fTgr0eHeH5aO53PBMgR4cc7uniYMYsEBLkiS1Si4mh7ZBrxbotjD34vF4yfTaGuiLAt1vIzaSFOjR7taOZmTpKhzJ43ZPEwexDFng748IEf5YBYANmrKZZYBZRphlQGR5re7MK7lAVy2zrrTTBXrcK28s0PWF4QZrrU+XPyK8vkCvHc3lV7NA6ypO1ABs0JTNLAPMMsIsAyLLa3VnXnEFetBym9W+V5+BHiwNvrlAj9YWH8+bT7Y5XsIx2t3a0Yw0b7+1QM8t4biAhNsCjXCiBmCDpmxmGWCWEWYZEFleqzvzCizQyenapjpeFOh2lXH/M73BmufBh1+uXsIxvJFK/Xu+hTXQo92NV2SPj6bRlt+LAn2YL9BXrIG+gITbAo1wogZgg6ZsZhlglhFmGRBZXqs784or0Kf0KtDdZZDbAh1Fsmm6l9e9GCyVuLlAD/cdV4VOL4DxNL4Kx2B3K0czOqi+QA++0mSBnj6IZUi4LdAIJ2oANmjKZpYBZhlhlgGR5bW6M6+4Al1dw66rh8Prz3WnnE/dlZYHV17ublkSb7y9QKf7Pu3aCzHvm0MZXwd6tLvxValHL/e7SG8xOP5K0wV68iCWIeG2QCOcqAHYoCmbWQaYZYRZBkSW1+rOvOIKdL02OU64Vv+qm2J7eYxjf1Pu+h3N4/Tef80v85obqQwL9MRVNkaqT9Zvrap0dz/uhTsRJrubuhNh+vJLeyzNNapj86OvNF2gJw9iGRJuCzTCiRqADZqymWWAWUaYZUBkea3uzCuvQA+uXxFFsbq7d1Us2zusfPh7327ri1z81Nfe/nMXBbrdzIJ+C8n66uSS1IMCPdzdytFc7OF58LD5SjMFeuogliHhtkAjnKgB2KApm1kGmGWEWQZEltfqzrwCC3TfKruaeGq74zGeTtcbV690j+PSGk/ta8MC3W9mfd/J+uV6m/32RzfxTjdZP6yOpinfo5df2qNJ6vnoK80V6ImDWIaE2wKNcKIGYIOmbGYZYJYRZhkQWV6rO/OKLNAPbnWtNQAJtwUa4UQNwAZN2cwywCwjzDIgspxfhCzQj6K7VEZy1bnvBwm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNCP4pis2F5dYXF3SLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgX4UXz7GRT5OuzewgsMCvSFO1ABs0JTNLAPMMsIsAyLL+UXIAv0wTu1FN6ZuoEJDwm2BRjhRA7BBUzazDDDLCLMMiCznFyEL9AM5XFy07rtBwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIg4X6XQHZYJidqADZoymaWAWYZYZYBkeX8ImSBVg4k3BZohBM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcSbgs0wokagA2aspllgFlGmGVAZDm/CFmglYMJtwWa4EQNwAZN2cwywCwjzDIgspxfhCzQygGGW3fmRA0wywizDDDLCLMMiCznFyELtHJA4fb0M8CJGoANmrKZZYBZRphlQGQ5vwhZoJUDCrcrOABO1ABs0JTNLAPMMsIsAyLL+UXIAq0cSLhdAo1wogZgg6ZsZhlglhFmGRBZzi9CFmjlQMJtgUY4UQOwQVM2swwwywizDIgs5xchC7RyIOFu7kRogb4vJ2oANmjKZpYBZhlhlgGR5fwiZIFWDiTcFmiEEzUAGzRlM8sAs4wwy4DIcn4RskArBxJuCzTCiRqADZqymWWAWUaYZUBkOb8IWaCVAwm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNDKgYTbAo1wogZgg6ZsZhlglhFmGRBZzi9CFmjlQMJtgUY4UQOwQVM2swwwywizDIgs5xchC7RyIOG2QCOcqAHYoCmbWQaYZYRZBkSW84uQBVo5kHBboBFO1ABs0JTNLAPMMsIsAyLL+UXIAq0cSLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgU788Wk38OG39c8cd+9/uf+RDR2SY9zXz3z5uHu+/vNfP++eXnkISLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgU48YoHe/fDziwVar+BEDcAGTdnMMsAsI8wyILKcX4Qs0JdOUUqv830KdFftj7t6/xZoZXOiBmCDpmxmGWCWEWYZEFnOL0IW6EuPVKCrBr23QOsVnKgB2KApm1kGmGWEWQZElvOLkAX60kMV6D8+VQ8s0MrmRA3ABk3ZzDLALCPMMiCynF+ELNCXkgL95eP7X6oVx1U7jZXHXV0+d9bduYd2Bbp+nHyw/4Xfua/uqzPF/Wa6t6XbPFfh5m37lQNMC/R54+ePR4Gut1CLo5rbcV2gB8cxOPr0S89Bwm2BRjhRA7BBUzazDDDLCLMMiCyvFK4FFuhLwwL91/g14Wl03Yvmh3zvf2rqb/vDvqi27aN6Q+e++ufPzWejWDfldLjNc/398dNVv168oUBP7vj8/P8+3NPg6Psv3dmNvfZvfJWkQCP7kyRJuobN5NJpeCJ5//L1H9U/6kJ5as4XH3b1KojDrn+8j5ef4r/28enqQ18/R0WuL/JRbfr8fPPLv3Sb9cvP8fblc9BzSzgmCvTkjuvnn/pvMTr67kv3LNCSJEktm8mlYYGOrtqt1Di2TXTfPBxeBSP+0Tbc2FLVV9szzrHleH60zarm1m87v3/5FPTcjwinCvTUjvuK3n2b9Oi7L92zQEuSJLVsJpeGBXo/9WLXfc+dtfpXX2kP1Uncw+CXhV0hPr/5qd3s88U241xybGP5h4n93qoqXP17tkBP7jiWfTQv7C+O/vJLW6AlSZI6NpNLwwI9+Cldtbrh/GJyGYu67Na/1gt1dT3uaBqq4AAAIABJREFU0lUY3bu7gjvYbLPNvuWuXtljcCOV+q2zBXpyx4PD//Db+OivuaQHssDfHxEi/LEKABs0ZTPLALOMMMuAyPJa3Zlngb40XaDbX+GNCnRdOQe3MIxCnfxCb75Ap9u8qL/zDqP6nFGg08Y8PnoLdFmcqAHYoCmbWQaYZYRZBkSW1+rOPAv0pckCfWiKbv1i31SnC3R/gY3mohfTBXqwzbkC3ZTs9NLUh4s1yhZoZXOiBmCDpmxmGWCWEWYZEFleqzvzLNCXpgr0cdf9mnD6DPTldTOiQ+/ne+xwm9+1QO8vN7YMCbcFGuFEDcAGTdnMMsAsI8wyILK8VnfmWaAvTRTo/sIYbYHuf3YXBXry1n6nuiLP9NjRNm9awrFWoA+3rIEeH70FuixO1ABs0JTNLAPMMsIsAyLLa3VnngX60kSB7hrouXtOX4VjdNmN9OeAMz12vM1vUqCf2i2uFOhmA+1VOAb7s0CXxYkagA2aspllgFlGmGVAZHmt7syzQF+aPgP91Ly2ay6VHI+b60A3tyBpu2nXSA/LZ6AH23x9ge6KcXNrloUC3d1Psfqqo6O3QJfFiRqADZqymWWAWUaYZUBkea3uzLNAX5paA93cq+/Q/jCwWb+c3omwetzcDKW5419zl5O5Hjva5usLdHtUx916gW4OLJ6/OHoLdEGcqAHYoCmbWQaYZYRZBkSW1+rOPAv0pakC3V6p4od/+9h1zvqiFT9F2W0uXLfrb/0Xnl7me+xom9+gQLdH8eHvawX6x2bf3SKS5Ogt0GVxogZgg6ZsZhlglhFmGRBZXqs78yzQl6avA32Ivpne3a/qx13ZjatltL/Gi0oaL81fB3qwzW9QoOPk8/mfV1yFozt5fnH0FuiyOFEDsEFTNrMMMMsIswyILK/VnXkWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIg4bZAI5yoAdigKZtZBphlhFkGRJbzi5AFWjmQcFugEU7UAGzQlM0sA8wywiwDIsv5RcgCrRxIuC3QCCdqADZoymaWAWYZYZYBkeX8ImSBVg4k3BZohBM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcSbgs0wokagA2aspllgFlGmGVAZDm/CFmglQMJ97sesr9COVEDsEFTNrMMMMsIswyILOcXIQu0ciDhtkAjnKgB2KApm1kGmGWEWQZElvOLkAVaOZBwW6ARTtQAbNCUzSwDzDLCLAMiy/lFyAKtHEy4LdAEJ2oANmjKZpYBZhlhlgGR5fwiZIFWDijclmeAEzUAGzRlM8sAs4wwy4DIcn4RskArBxRuzz8DnKgB2KApm1kGmGWEWQZElvOLkAVaOZBwu4AD4UQNwAZN2cwywCwjzDIgspxfhCzQyoGE2wKNcKIGYIOmbGYZYJYRZhkQWc4vQhZo5UDCXd9IxQJ9b07UAGzQlM0sA8wywiwDIsv5RcgCrRxIuC3QCCdqADZoymaWAWYZYZYBkeX8ImSBVg4k3BZohBM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcSbgs0wokagA2aspllgFlGmGVAZDm/CFmglQMJtwUa4UQNwAZN2cwywCwjzDIgspxfhCzQyoGE2wKNcKIGYIOmbGYZYJYRZhkQWc4vQhZo5UDCbYFGOFEDsEFTNrMMMMsIswyILOcXIQu0ciDhtkAjnKgB2KApm1kGmGWEWQZElvOLkAVaOZBwW6ARTtQAbNCUzSwDzDLCLAMiy/lF6OEK9B+fdpWn/om//Lb4gePu/S/XbHdlM822Kh+m3/nl4+65/c98F99v7d371+wtGxJuCzTCiRqADZqymWWAWUaYZUBkOb8IPViBbuplUjEPc322dV2BXt1M/Z7W5Hu/RYG+/H6r77dA63WcqAHYoCmbWQaYZYRZBkSW84vQYxXoql/W9fTr57ZhYgW62ne9pWrfU2/+BgV64vutfsACrddxogZgg6ZsZhlglhFmGRBZzi9Cj1Wgj7sffu7+GVWTKtBVpW2b8Wmy3X6DAj3x/ZZZoPVqTtQAbNCUzSwDzDLCLAMiy/lF6KEK9LnEdsX1XB3rf1MF+lxo+6p66Itu7/UFeur7LbNA69WcqAHYoCmbWQaYZYRZBkSW84vQwxboqLzxq75zZe2bZFeYz1W2OlM8fNwU3/rt9Yf38ZlmM0u7Tnr4eVP7i22OCnT60srRzH+/8TvP72iO+3nqeyy//ZDucXjk7385NG+aOq4JSLgt0AgnagA2aMpmlgFmGWGWAZHltboz76EK9LkCjs4mLxTo5id/738aPo5aen77j5/6x+sFuqvMo+NJfvA3LNCD3a0czfz3G+/j3Ij//Hn+eyy8fV834+5Ljo78/V+bLUwf18tubP4v9Q11BRrZmyRJ0nUeq5uc0lOt4dA1yWGBPkQ5rAph+3j/0i1frq928Rwrm/fJZmZNLknu91H916BAD3dXfXzhaJa/X7qP6njbott9j/3ge1y8fd+8rTqtfD660V+nOfLzu77+Y/a4LNCSJEmdB+smcao4XWEwU6C7M8bHXfu4W1nxPLzcRf35tQI9teo52UdTTp+nFnLEw6eFo1n4fqN99FfniMfd9zj/o/oCE2+vXz61Gz21hzo68vj2s8dlgZYkSWo9Wjf5+jlde/AyW6C7tcbnF6p/9QX5UH206Zsv3aqJnAJ9SPaxH1bn0e5Wjmbh+4320S/Fjsfp94gT0+O3x8vdTxLbwxsf+T79Y14elwVakiSp9Yjd5JhWzOkCnfwc79A83r8kr/fXuDhmF+jBPs6fTgr0eHeH5aOZ/37jfYwfj77H7Nu7P097eBNH/rJ2XClkgb8/IkT4YxUANmjKZpYBZhlhlgGR5aWqs+wRC3Tl0Dbo1QLdFuZePB4vmV5bA31RoJNLyNUbSQr0aHdrRzP//cb7mPgfAvvJh6M/w7BATx/5yzXH1ULCbYFGOFEDsEFTNrMMMMsIswyILC9VnWWPWqCrblhX2ukCPa6INxbo5ooVSWc+Xf6I8PoCvXY089/PAm2BvjsnagA2aMpmlgFmGWGWAZHlpaqz7KEK9KDlNgt3rz4DPbi6xc0FenQZu+N588k2x0s4RrtbO5r57zfex/UFemkJx/SR33RbFiTcFmiEEzUAGzRlM8sAs4wwy4DI8pWtZ8KDFejktGjT9i4KdLvKuP853GDN8+DDL1cv4RjeSKX+7d7CGujR7sYrsufuMnj5/a5YAz279Pv2NdDX3f2whoTbAo1wogZgg6ZsZhlglhFmGRBZvrL1THioAn1Kr5LcXXC5LdDR/Zqme3ndi8GShJsL9HDfcVXo9FoWT+OrcAx2t3I0C99vtI+Jq3AMvsfl26cK9PSRv8we1wQk3BZohBM1ABs0ZTPLALOMMMuAyPJ1pWfKQxXo7rLGleH157pTzqfuSsuDKy93twaJN95eoNN9n3bDiy4fLq4DPdrd+KrUo5cXvt9oH90NU5rHs5e/7t4+WaAnj/xl9rgmIOG2QCOcqAHYoCmbWQaYZYRZBkSWF6vfoocq0PXa5DhHWv2rLn3t5TGO/U2563cc+1tTt/feqx43dx65KNATV9kYqT5Zv7Uqsd39uBfuRJjsbupOhOnLC99v+taC7S0DF27AOLgK3qhATx75y/xxXULCbYFGOFEDsEFTNrMMMMsIswyILC9XvyWPVaAH14noTpp2N7OufPh7327ri0n81Nfe/nMXxbPdzIJ+C8n66uSS1IMCPdzdytEsfb/hPs6f+1/jB45xsBff4+Lt0wV66siH33G5P1ugN8SJGoANmrKZZYBZRphlQGR5uewsebAC3Ve8ruCd2hp4jKfT9cbVK93juLTGqFB2L3ebWd93sk643ma//dFNvNNN1g+ro2nK9+jl+e832EfdiA/948vvcfn2wfuGhzc48mRv678lRMJtgUY4UQOwQVM2swwwywizDIgsr9WdeQ9XoB/c6lrrZcn1M74vJNwWaIQTNQAbNGUzywCzjDDLgMhyfhGyQBMOF6eEM1mg9c05UQOwQVM2swwwywizDIgs5xchCzThmKzYXllcvMwCrW/OiRqADZqymWWAWUaYZUBkOb8IWaAJXz7GRT5Ou9et4LBA69tzogZgg6ZsZhlglhFmGRBZzi9CFmjEqb24xbU3KplhgdY350QNwAZN2cwywCwjzDIgspxfhCzQkMM1F4dbZYHWN+dEDcAGTdnMMsAsI8wyILKcX4Qs0MqBhPtdC9lbsZyoAdigKZtZBphlhFkGRJbzi5AFWjmQcFugEU7UAGzQlM0sA8wywiwDIsv5RcgCrRxIuC3QCCdqADZoymaWAWYZYZYBkeX8ImSBVg4m3BZoghM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcUbuszwIkagA2aspllgFlGmGVAZDm/CFmglQMKt2egAU7UAGzQlM0sA8wywiwDIsv5RcgCrRxIuF0DjXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIg4fZGKggnagA2aMpmlgFmGWGWAZHl/CJkgVYOJNwWaIQTNQAbNGUzywCzjDDLgMhyfhGyQCsHEm4LNMKJGoANmrKZZYBZRphlQGQ5vwhZoJUDCbcFGuFEDcAGTdnMMsAsI8wyILKcX4Qs0MqBhNsCjXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIg4bZAI5yoAdigKZtZBphlhFkGRJbzi5AFWjmQcFugEU7UAGzQlM0sA8wywiwDIsv5RcgCrRxIuC3QCCdqADZoymaWAWYZYZYBkeX8ImSB3oKvn3ed52s/9Mdffjv/55ePU5+I1xYg4bZAI5yoAdigKZtZBphlhFkGRJavbloXLNBbkBbo3Q8/X/WZw+7DbIFuXluAhNsCjXCiBmCDpmxmGWCWEWYZEFm+qW0NWKC34Fygn5p/Hq9t0Esl2QJdEidqADZoymaWAWYZYZYBkeVrCtM0C/QWJAW6OqX8/pcrPmOBVnCiBmCDpmxmGWCWEWYZEFm+oi/NsEBvQVqgX0673f6Kz1igFZyoAdigKZtZBphlhFkGRJav6EszLNBbMCjQ5wdN/f3ysV8S/cenc60+Vmuk63Z9bH9x2K6Brt87em0BEm4LNMKJGoANmrKZZYBZRphlQGQ5v3pZoLdgUKDPBThK86H5VWFdp88F+sdP/eNxgT4kv0C0QJfFiRqADZqymWWAWUaYZUBkOb96WaC3YFigT7u2E+/jUfXaH5+iE1cX7KjPMw+uwtEs+zg/qJ+8WMKxG0O+Vlegkb1JkiRdx26yBcMCfa7B++T6dPGPqkA/N+9NS3K82jbmU5y8tkBLkiTNsptswVSB7kvwoXrxXKCbx4e4SseoQA+u3GGBliRJmmU32YKJAn1+qr0Wx7Fqx+cC/ZQ8HBXo425w6Q4LtCRJ0iy7yRZcrIHex5rnVhTopiFPFejmVob9OWsvY1cOf6wCwAZN2cwywCwjzDIgspxfvSzQWzDxI8LbCnT9of7aGxbokjhRA7BBUzazDDDLCLMMiCznVy8L9BYMC/Sh+iVgX5jDWoF+aTv0/sUCXRYnagA2aMpmlgFmGWGWAZHl/Oplgd6CQYGOnwv2a567Z9cK9EvdoatnLdAlcaIGYIOmbGYZYJYRZhkQWc6vXhboLZi6lffowhqLBbr/fLxogS6JEzUAGzRlM8sAs4wwy4DIcn71skBvQVqgz424LsjNDVTaCz8vn4Hu2vbBM9DFcaIGYIOmbGYZYJYRZhkQWc6vXhboLUgK9GHX3Mi7+ldVg5s7qFwU6OaG31Gg29Z9jLPX7c3A5yHhtkAjnKgB2KApm1kGmGWEWQZElvOrlwV6C5qr0IW2+/ZPVoucLwr0KX4x2KyBbi/CEUX81P6acBYSbgs0wokagA2aspllgFlGmGVAZDm/elmgtyAp0OnC53M5bivxZYGuW/JT9yPC2ET76VP3uRlIuC3QCCdqADZoymaWAWYZYZYBkeX86mWBVg4k3BZohBM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcSbgs0wokagA2aspllgFlGmGVAZDm/CFmglQMJtwUa4UQNwAZN2cwywCwjzDIgspxfhCzQyoGE2wKNcKIGYIOmbGYZYJYRZhkQWc4vQhZo5UDCbYFGOFEDsEFTNrMMMMsIswyILOcXIQu0ciDhtkAjnKgB2KApm1kGmGWEWQZElvOLkAVaOZBwv2sheyuWEzUAGzRlM8sAs4wwy4DIcn4RskArBxJuCzTCiRqADZqymWWAWUaYZUBkOb8IWaCVAwm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNDKwYTbAk1wogZgg6ZsZhlglhFmGRBZzi9CFmjlAMOtO3OiBphlhFkGmGWEWQZElvOLkAVaOaBwe/YZ4EQNwAZN2cwywCwjzDIgspxfhCzQygGF2wUcACdqADZoymaWAWYZYZYBkeX8ImSBVg4k3K6ARjhRA7BBUzazDDDLCLMMiCznFyELtHIg4bZAI5yoAdigKZtZBphlhFkGRJbzi5AFWjmQcFugEU7UAGzQlM0sA8wywiwDIsv5RcgCrRxIuC3QCCdqADZoymaWAWYZYZYBkeX8ImSBVg4k3BZohBM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcSbgs0wokagA2aspllgFlGmGVAZDm/CFmglQMJtwUa4UQNwAZN2cwywCwjzDIgspxfhCzQyoGE2wKNcKIGYIOmbGYZYJYRZhkQWc4vQhZo5UDCbYFGOFEDsEFTNrMMMMsIswyILOcXIQu0ciDhtkAjnKgB2KApm1kGmGWEWQZElvOLkAVaOZBwW6ARTtQAbNCUzSwDzDLCLAMiy/lFaAMF+o9Pu8pT/8Rfflv8wHH3/pdrtruymWZblQ/T7/zycffc/meer593iaf1D4Tzn2Sfu8vrIOG2QCOcqAHYoCmbWQaYZYRZBkSW84vQwxfopj4n/fIw12db1xXo1c3U72lNvtcC/ToWaIQTNQAbNGUzywCzjDDLgMhyfhF69AJd9ee6nlZVMwomVqCrfddbqvY99eZvUqCvbs3DI7NA60pO1ABs0JTNLAPMMsIsAyLL+UXo0Qv0cffDz90/o6hSBbqqzW0zPk2eHrZAv44FGuFEDcAGTdnMMsAsI8wyILKcX4QevECnBfPcGut/UwX6XNj7lnroi3zPAv06FmiEEzUAGzRlM8sAs4wwy4DIcn4R2lCBjsobv+o7V9a+RHaF+VxlqzPFw8dN8a3fXn94H59pNrO066SHnze1v9jmqECnL60czeT3ize9/+XQHNjwA/Wj5iBGX6baTPP4+SVWbncfi2XccQjjjy1Awm2BRjhRA7BBUzazDDDLCLMMiCyv1Z15D16gz/1vdDZ5oUA3P/l7/9PwcZxpPr/9x0/94/UC3VXm0fEkv/cbFujB7laOpjVVoP/avGn4gfZR3YxHX6bazJ+bnyPuo2g3X+3U/UBxP/Gx3m5s/u/yDTUFGtmXJEnStR69nZwuT5ceukY8LNCHqLWH9oTrIT7ZLF+ur+bxHCub98lmZh2n6nW/j+q/BgV6uLvq4wtH05oo0NX7vv5j/IFTPDq/XB11/WX2/ZepL+axb56vKvb5fdVem7dXn64eXvwNOhZoSZKk1sO3k2N/3rUxU6C7M8bHXfu4W1nxPLycR/35tQI9teo52UdTU5+nFnLEw6eFo2lNFeg4rNEH2qM91Tvuvsz5H9Xz3e8dT+2fKt7XLR85Dj/W/g06FmhJkqTW47eT7lLJbdOcKdBdWTy/UP2rL8iH6qNN1XzpVoXkFOhDso/9sDqPdrdyNBdfrj1R3VX00QeGS1nSL9MU6Hjc/tBy/MvGrncP/wYdC7QkSVJrG+3kmFbo6QKdnMs9NI/3L8nrXbXsV3zcXKAH+zh/OinQ490dlo8m2eJFgW7PEQ8+cBwsZRl/me7Auj/KoEBX60KaAj38G8xDFvj7I0KEP1YBYIOmbGYZYJYRZhkQWV7sOou2UaArh7ZBrxbotjAPuunEkum1NdAXBTq5ely9kaRAj3a3djStqSUc7dqMwQeapt0c8vjLzBfo9ieFbYEeX7hkDhJuCzTCiRqADZqymWWAWUaYZUBkebHrLNpOga5aYl1ppwv0uNzeWKCbopl05tPljwivL9BrR5N8p+sKdH9BjefL7z5foA/NtzpZoMvlRA3ABk3ZzDLALCPMMiCyvNh1Fj14gR603GZ98NVnoAcXmri5QI8uY3c8bz7Z5ngJx2h3a0cz8b5ur22BvvxAdOj99QX62J6zPlqgy+VEDcAGTdnMMsAsI8wyILK82HUWPXyBTope0/8uCnS7yrj/1d1gzfPgwy9XL+EY3kil/v3dwhro0e7GK7LHRzPxvpAU6MkPnOpKfGWB7v8mFuiCOVEDsEFTNrMMMMsIswyILC92nUUPXqBP6U/numUJbYGO0tg03cvrXgw64s0FerjvuCp0ehWOp/FVOAa7Wzma1myBHn2gf9/ohPZige4eNatfLNBFcqIGYIOmbGYZYJYRZhkQWV7sOosevEB3FziuDK8/151ePXVXWh5cebm7ZUm88fYCne47TvymF5kbXwd6tLvxValHLyf7mCnQow90ffpw2xnop3ZjzbWwLdDlcaIGYIOmbGYZYJYRZhkQWV7sOosevEDXa5Oj61X/qrtle3mMY39T7vodx/4O2O29/9q79k2Vx4mrbIxUn6zfWlXp7n7cC3ciTHY3dSfC9OXGfIEefaC5tWC12RvWQDd3MzzsLNAFc6IGYIOmbGYZYJYRZhkQWV4ueksevUAPLkfRnZvt7mNdX9rt7327ra9Z8VNfe+cvXNFtZkFyleZ+fXWo++qgQA93t3I0yR7mCvToA+1FONr7kl9VoNs/3g//9nGqdy9Awm2BRjhRA7BBUzazDDDLCLMMiCwvdp1FD1+g+ybZFc9TW2CP8XS63rh6pXscl9YYVcvu5W4z6/tO2ma9zX77o5t4p5usH1ZH05Tv0cvt9ucK9PgDcSix5+uvA32I/5kws4xlHhJuCzTCiRqADZqymWWAWUaYZUBkebHrLNpAgX5wq2ut3yQk3BZohBM1ABs0ZTPLALOMMMuAyHJ+EbJAfx/dj/4uzjE/BiTcFmiEEzUAGzRlM8sAs4wwy4DIcn4RskB/H8dkxfb4hoaPAAm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNDfx5ePcZGP0+4hV3BYoDfEiRqADZqymWWAWUaYZUBkOb8IWaC/k+6qGSu/1nujkHBboBFO1ABs0JTNLAPMMsIsAyLL+UXIAv3dHC4uWvdAkHBboBFO1ABs0JTNLAPMMsIsAyLL+UXIAq0cSLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgVYOJNwWaIQTNQAbNGUzywCzjDDLgMhyfhGyQCsHEm4LNMKJGoANmrKZZYBZRphlQGQ5vwhZoJWDCbcFmuBEDcAGTdnMMsAsI8wyILKcX4Qs0MoBhdv2DHCiBmCDpmxmGWCWEWYZEFnOL0IWaOWAwu0JaIATNQAbNGUzywCzjDDLgMhyfhGyQCsHEm5XcCCcqAHYoCmbWQaYZYRZBkSW84uQBVo5kHBboBFO1ABs0JTNLAPMMsIsAyLL+UXIAq0cSLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgVYOJNwWaIQTNQAbNGUzywCzjDDLgMhyfhGyQCsHEm4LNMKJGoANmrKZZYBZRphlQGQ5vwhZoJUDCbcFGuFEDcAGTdnMMsAsI8wyILKcX4Qs0MqBhNsCjXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIg4bZAI5yoAdigKZtZBphlhFkGRJbzi5AFWjmQcFugEU7UAGzQlM0sA8wywiwDIsv5RcgCrRxIuC3QCCdqADZoymaWAWYZYZYBkeX8IvSABfqPT7vKU//EX35b/MBx9/6Xa7a7splmW5UPV7zzG/jycfdc/ffqkS0eVWyl3dY3goTbAo1wogZgg6ZsZhlglhFmGRBZzi9CD1egm/qcVOjDWp+9rkCvbqZ+Twup0E3pXTuylaOyQGuREzUAGzRlM8sAs4wwy4DIcn4RerQCXfXnugh+/dw2aKxAV/uut1TtGzoJXVk+stWjskBrkRM1ABs0ZTPLALOMMMuAyHJ+EXq0An3c/fBz98+ohFSBrgpq20FP6RKSe1s8svWjskBrkRM1ABs0ZTPLALOMMMuAyHJ+EXqwAn2ui11F/ONT/Jsq0OfCvk/e3RX5u1s8svWjskBrkRM1ABs0ZTPLALOMMMuAyHJ+EXrgAh3FMn4/dy6H5z7dNMmuMJ9LY3VOdvi4qZj12+sP7+MzzWaWdp308POm9hfbPL+l2WYsXW5fmHt+fMijY4rS2x7Zqdv9IfkbXHFUowKdvrTyN1qAhNsCjXCiBmCDpmxmGWCWEWYZEFleqzvzHqxAn8vj6GzyQoFuflz3/qfh4zife377j5/6x+sFuiuno+NJftB4brN//hyP93URbbY49/xEgU6PaVigzy/G0XX/uPKohgV68EdY+RstQMJtgUY4UQOwQVM2swwwywizDIgsL5edJY9WoE+73bgxHrpGPCzQhyiQVSVsH+9fuoXC9dU8nmMN8T7ZzKzjVL3u91H9V7WtamP1tquzuOfWWu167vmJAj04puFVONoTz6f0f0NccVSDAj38I1QfX/gb9XZjS3+pbyYKNLIrSZKkqz1cPYkTsukag5kC3Z2bPe7ax90ahufh5Tyafrp2sbjLhQ3JPqoXux/0ndojPC0+P1Wg02MaFuhTd5I4KbdXHFVaoEd/hPN/Pi38jXoWaEmSpNbj1ZOvn9P1CS+zBbpb1Xt+ofpXX5DrBnp+tlvF0Jx8vb1AH5LEui9wAAAeF0lEQVR97Psu3v2+sSmic89PFOjBMQ0LdLN0Y7CC45qjSqvz6I+w8jfqWaAlSZJaj1lPjmmFni7Qyc8ND83j/Uvyetdl+xUfNxfowT7On+4ed8fSFejJ5ycK9OCYRjdSiVI7WMFxzVElBXr8Rzgs/416FmhJkqTW49aTQ9ugVwt0W5h78Xi8ZHptDfRFVe23MdpnfoEer0JJC/SpOUucnhu+4qiSAj36I6z9jRYgC/z9ESHCH6sAsEFTNrMMMMsIswyILC9VnWWPW6CrWlqXx+kCPa6RNxbo5mIZSTs9Xf5cDy7Q9eKN4QqOa45qvkCv/Y0WIOG2QCOcqAHYoCmbWQaYZYRZBkSWl6rOsgcr0IOW2/xY7uoz0IOrd9xcoEcXjDueN59s81st4Vgq0PXJ59PwRPkVRzUs0Om71/5GC5BwW6ARTtQAbNCUzSwDzDLCLAMiy1e2ngkPV6CTE6NN37so0O163v4HcYM1z4MPv1y9hGN4y5L6937fbg304aoCXa3hOAw77hVHNSzQT8MPD9ZAj/9GC5BwW6ARTtQAbNCUzSwDzDLCLAMiy1e2ngkPVqBP6VWgLy5SEe2v6ZSXV5gYLEq4uUAP9x3XX06vd/E0X5QXCvTgkNcK9Pn1/+vTaM3z+lENr8Ix+COs/I0WIOG2QCOcqAHYoCmbWQaYZYRZBkSWrys9Ux6sQHdXVK4Mrz/XnXI+ddc0HlzjuLs5SLzx9gKd7vu0ay/UvG8Opbne800FenzIawX6/K//4+PoKNePKi3Qoz/C+FrZo5cXIOG2QCOcqAHYoCmbWQaYZYRZBkSWF4vfogcr0PXa5DhLWv2rbo7thSiO/U2563c0j9O77FWPm7uVXBToietZjFSfrN9aldbuztfDOxHeVKDHhzxToPsjm7gP4/pRje9EmPwRpu5EmL48Dwm3BRrhRA3ABk3ZzDLALCPMMiCyvFz8ljxagR5cKSI6XtUqm9uY1D78ve+R9eUkfuoLZv+5iwLdbmZBv4XknHBySeqbC/TokGcKdH9k5zdctvy1oxoU6OEfYeVvtAAJtwUa4UQNwAZN2cwywCwjzDIgsrxcdpY8XIHuS15X8U5tVTzG0+nK3uqV7nFcWmPUZbuXu82s7ztZKVxvs3l8c4EeHfJMgU6ObHqdyfJRXd7EO/2i9cPqb9RsePTyHCTcFmiEEzUAGzRlM8sAs4wwy4DI8lrdmfeABbpkx6uvM3ej1RXgI0i4LdAIJ2oANmjKZpYBZhlhlgGR5fziZIF+JF8/r63Tvs3h4tz5tZBwW6ARTtQAbNCUzSwDzDLCLAMiy/kVygL9SL6Mr8HxSsdkHfnKoucRJNwWaIQTNQAbNGUzywCzjDDLgMhyfoWyQD+Qr59vrLlrvnyMHyWedjeu4LBAb4gTNQAbNGUzywCzjDDLgMhyfoWyQD+M4+7mmrvq1F5049obqLSQcFugEU7UAGzQlM0sA8wywiwDIsv5DcoC/TCO374/v7TXsbv5xDYSbgs0wokagA2aspllgFlGmGVAZDm/P1mglQMJtwUa4UQNwAZN2cwywCwjzDIgspxfhCzQyoGE2wKNcKIGYIOmbGYZYJYRZhkQWc4vQhZo5UDCbYFGOFEDsEFTNrMMMMsIswyILOcXIQu0cjDhtkATnKgB2KApm1kGmGWEWQZElvOLkAVaOcBw686cqAFmGWGWAWYZYZYBkeX8ImSBVg4o3O+cqO/PiRqADZqymWWAWUaYZUBkOb8IWaCVAwq3KzgATtQAbNCUzSwDzDLCLAMiy/lFyAKtHEi4XQKNcKIGYIOmbGYZYJYRZhkQWc4vQhZo5UDCbYFGOFEDsEFTNrMMMMsIswyILOcXIQu0ciDhtkAjnKgB2KApm1kGmGWEWQZElvOLkAVaOZBwW6ARTtQAbNCUzSwDzDLCLAMiy/lFyAKtHEi4LdAIJ2oANmjKZpYBZhlhlgGR5fwiZIFWDiTcFmiEEzUAGzRlM8sAs4wwy4DIcn4RskArBxJuCzTCiRqADZqymWWAWUaYZUBkOb8IWaCVAwm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNDKgYTbAo1wogZgg6ZsZhlglhFmGRBZzi9CFmjlQMJtgUY4UQOwQVM2swwwywizDIgs5xchC7RyIOG2QCOcqAHYoCmbWQaYZYRZBkSW84uQBXqTvn7effht6Q3H3ftfXrMDJNwWaIQTNQAbNGUzywCzjDDLgMhyfhGyQG+SBVpXc6IGYIOmbGYZYJYRZhkQWc4vQhboTbJA62pO1ABs0JTNLAPMMsIsAyLL+UXIAr1JFmhdzYkagA2aspllgFlGmGVAZDm/CFmgN8kCras5UQOwQVM2swwwywizDIgs5xchC/QmNQX6j0+7fTzRFeYvH3e73dPK4x9+XtsBEm4LNMKJGoANmrKZZYBZRphlQGQ5v2lZoDdptkAfdrX3Py0/Hp+/3o0h36Iu0MieJEmSrmc/2aS5An2ozjZHTa4fH0ePz/+oPnCKp3sWaEmSpJb9ZJNmCvSXj83j4659/DR6/Fw/7v7RsEBLkiS17CebNFOgu5XO5xemHh+6pRuH4SloC7QkSVLLfrJJ0wX6/Gxbiw9NYR48Pr/evH31Kh3IAn9/RIjwxyoAbNCUzSwDzDLCLAMiy/lNywK9SasFevLx+e09C3QpnKgB2KApm1kGmGWEWQZElvOblgV6k6YLdP9w9rEFujxO1ABs0JTNLAPMMsIsAyLL+U3LAr1Jzbnl289A7yc2NgUJtwUa4UQNwAZN2cwywCwjzDIgspzftCzQm9JePeOiQLdrnPsfCU6siT6//elym5OQcFugEU7UAGzQlM0sA8wywiwDIsv5jcsCvSltY+4LdDTi8+PrrsJx7Q2+kXBboBFO1ABs0JTNLAPMMsIsAyLL+Y3LAr0p7Tnm5kx0d8r5NHvd58F1obsbqCTnqqch4bZAI5yoAdigKZtZBphlhFkGRJbzG5cFelvi1oLNCeX6YVWEj8mdB6vHS3cibH58OLyRygUk3BZohBM1ABs0ZTPLALOMMMuAyHJ+4bJAb8vXz81FNJ4HDz/8vWnUh+YSGz9NP+4+vtKfLdAb4kQNwAZN2cwywCwjzDIgspxfuCzQW3OsC/Nvg4fPg9XO1Vnn7vGXj83j5iP14/XfEiLhtkAjnKgB2KApm1kGmGWEWQZElvPrlgValcPKmucxJNwWaIQTNQAbNGUzywCzjDDLgMhyfnGyQJesu+pGckG76yDhtkAjnKgB2KApm1kGmGWEWQZElvMrlAW6ZMd2rfNpddHzCBJuCzTCiRqADZqymWWAWUaYZUBkOb9CWaBL9uXj7oefX+r+fNsKDgv0hjhRA7BBUzazDDDLCLMMiCznVygLdNFO7UU3rr2BSgsJtwUa4UQNwAZN2cwywCwjzDIgspzfoCzQhTtcc9G6S0i4LdAIJ2oANmjKZpYBZhlhlgGR5fz+ZIFWDiTcFmiEEzUAGzRlM8sAs4wwy4DIcn4RskArBxJuCzTCiRqADZqymWWAWUaYZUBkOb8IWaCVAwm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNDKwYTbAk1wogZgg6ZsZhlglhFmGRBZzi9CFmjlgML9zon6/pyoAdigKZtZBphlhFkGRJbzi5AFWjmgcHsGGuBEDcAGTdnMMsAsI8wyILKcX4Qs0MqBhNs10AgnagA2aMpmlgFmGWGWAZHl/CJkgVYOJNwWaIQTNQAbNGUzywCzjDDLgMhyfhGyQCsHEm4LNMKJGoANmrKZZYBZRphlQGQ5vwhZoJUDCbcFGuFEDcAGTdnMMsAsI8wyILKcX4Qs0MqBhNsCjXCiBmCDpmxmGWCWEWYZEFnOL0IWaOVAwm2BRjhRA7BBUzazDDDLCLMMiCznFyELtHIg4bZAI5yoAdigKZtZBphlhFkGRJbzi5AFWjmQcFugEU7UAGzQlM0sA8wywiwDIsv5RcgCrRxIuC3QCCdqADZoymaWAWYZYZYBkeX8ImSBVg4k3BZohBM1ABs0ZTPLALOMMMuAyHJ+EbJAKwcSbgs0wokagA2aspllgFlGmGVAZDm/CG2wQP/xaVd56p/4y2+LHzju3v9yzXaXNtPstPNheZfnt++XXv/ycfe8cjiXb7n44rfs8cb9I+G2QCOcqAHYoCmbWQaYZYRZBkSWr29GY5sr0EmTbZrkYa3NXleglzfz/Qv05Re/aY837h8JtwUa4UQNwAZN2cwywCwjzDIgsnx9MxrbWoGuamRd/b5+boskUqAbp90PP19xlDfW2UmjjjvxxV+xRwt0QZyoAdigKZtZBphlhFkGRJavb0ZjWyvQx77BHptGWUaBnvjir9ijBbogTtQAbNCUzSwDzDLCLAMiy9c3o7GNFeivn/uzr+fKWP+7iAI99cVfsUcLdEGcqAHYoCmbWQaYZYRZBkSWr29GYxsu0FF5j7Es+DlpkF1hPtfEarnD8HHTgOu31x/ex2eazSwbFuh0e/WL7dbGW7943BXY5DP1N6rE0c4X6L7rL+zx8vDShxbogjhRA7BBUzazDDDLCLMMiCwvdp1FGyvQ5+44Opu8UKCjju7e/zR8HO3z/PYfP/WPcwr0YHv12uSu/o62fvG4KbCDz0Qd3rUdeNRxL774yh77w+t+a5k8tEAXxIkagA2aspllgFlGmGVAZHml1i3YWoE+padYw6HrqMMCfYiyeGgr5iE+eYqn64taPEcL3SebWdt9X6CH22seplvf91sf760psIPPnJ+rj+AUxzvquJNffGGPydd/unw4LtC7sdW/xLdQF2hkT5IkSdfbXD+JU8XpQoqZAn3uiPv2E4NCGv9Ir2pRf/7WAj3aXru7+LFft/XzP6rNjvc29ZlupUk8HHfciy++vMfk6zdb2y9s3AItSZLU2l4/aRcudGuCZwp010fPL1T/6gvyofpo0zNfusURtxbo0faOg6XL6dabAj3YW7zrOLncudnJxSqL8Rdf3uMh+fr7i4cWaEmSpDnb7CfHtElOF+jkV3eH5vH+JXm9v5TFMatAj7c3/Ph46+PHUWAnd1n91m+yQI+/+OIeB1//w2+jhxZoSZKkWdvtJ4dRkZwv0G1h7sXj8ZLpmwr0aHuDq2Rcng6fWF/y/DL6THOdjHahxuzv/JovvrzH5Kp21ePRQ39EWBJ/rALABk3ZzDLALCPMMiCyvNh1Fm23QFcNsm6z0wV6XBlvLNBNlx1f9fmuBfrQ7HJmCcfoi1ugdR0nagA2aMpmlgFmGWGWAZHlxa6zaGMFetBymx/GXX0GenARi29QoNPtfYMCfWwvQDf1O7/LL351ga4+OnpogS6JEzUAGzRlM8sAs4wwy4DI8mLXWbS5Ap1cDblphRcFul3z3P/Ib7DmefDhl1cs4RidPu4uB/10ZYEefqY/4OkCffHFF/d44xroC0i4LdAIJ2oANmjKZpYBZhlhlgGR5dViN2tjBfqUXgy5u5hyW6CjI57L4vRVOAZ3InltgR5vr91dbPe6Aj34TPeWZmnKsONOfPHlPaaX3Xi6eGiBLogTNQAbNGUzywCzjDDLgMjyarGbtbECXV3KrWt+w+vPdWdw+xuRRKFurgPd3vCkeeOrC/Roe+2Flk/tVZmvKNCDz3QniatbpjxP3Mp7/MWX99hd+PkwvA70YWWBdQMJtwUa4UQNwAZN2cwywCwjzDIgsrxa7GZtrEDXa5O7yx9HCTw2pfbY35S7fkfzOL0TYXJPk4sCfbxY8DxhdCfC9B4p4/sCXlGgh59p7mxY/5TwokBPffHFPd52J8ILSLgt0AgnagA2aMpmlgFmGWGWAZHl1WI3a2sFenD1i+iA1Rnb9ibWlQ9/b5rmoblExk/xuLsRSf25i8LZbmZRWqCH2+t3P3VXl5kCPf5M/HDx3z5O3evk8osv7rH7+u3i58FDC3RBnKgB2KApm1kGmGWEWQZElldq3YLNFei+N3YN8NTWwmM8na5+rl7pHselNZ7a10aF89SXzVmnwWnqdHsvgwp+ZYEe1fZDPOjWhIw67sUXX9pje3j9Qu30oQW6IE7UAGzQlM0sA8wywiwDIsuLXWfRBgu0AEi4LdAIJ2oANmjKZpYBZhlhlgGR5fwiZIFWDiTcFmiEEzUAGzRlM8sAs4wwy4DIcn4RskArBxJuCzTCiRqADZqymWWAWUaYZUBkOb8IWaCVAwm3BRrhRA3ABk3ZzDLALCPMMiCynF+ELNDKgYTbAo1wogZgg6ZsZhlglhFmGRBZzi9CFmjlQMJtgUY4UQOwQVM2swwwywizDIgs5xchC7RyIOG2QCOcqAHYoCmbWQaYZYRZBkSW84uQBVo5kHBboBFO1ABs0JTNLAPMMsIsAyLL+UXIAq0cSLgt0AgnagA2aMpmlgFmGWGWAZHl/CJkgVYOJtwWaIITNQAbNGUzywCzjDDLgMhyfhGyQCsHGG7dmRM1wCwjzDLALCPMMiCynF+ELNDKAYZbd+ZEDTDLCLMMMMsIswyILOcXIQu0coDh1p05UQPMMsIsA8wywiwDIsv5RcgCrRxguHVnTtQAs4wwywCzjDDLgMhyfhGyQCsHGG7dmRM1wCwjzDLALCPMMiCynF+ELNB6s3Zn3/sYpG/BLGsrzLK24rVZtkDrzXKi1laYZW2FWdZWWKC1WU7U2gqzrK0wy9oKC7Q2y4laW2GWtRVmWVthgdZmOVFrK8yytsIsayss0NosJ2pthVnWVphlbYUFWpvlRK2tMMvaCrOsrbBAa7OcqLUVZllbYZa1FRZobZYTtbbCLGsrzLK2wgKtzXKi1laYZW2FWdZWWKC1WU7U2gqzrK0wy9oKC7Q2y4laW2GWtRVmWVthgdZmOVFrK8yytsIsayss0NosJ2pthVnWVphlbYUFWpvlRK2tMMvaCrOsrbBAa7OcqLUVZllbYZa1FRZobZYTtbbCLGsrzLK2wgItSZIkgSzQkiRJ0g0s0JIkSdINLNCSJEnSDSzQkiRJ0g0s0JIkSdINLNCSJEnSDSzQkiRJ0g0s0JIkSdINLNCSJEnSDSzQkiRJ0g0s0JIkSdINLNCSJEnSDSzQeqMOu8r+ex+GtOC0e//L4InJ2L7ySem+/vhU5+7Db4NnzbIeT2R5NC3fK8sWaL1Jx13r+XsfijTnPFkPZurJ2L7ySem+mvo8qtBmWY/n6+c2dunEfLcsW6D1FvWJdf7Vm1U1j+l5OontK5+U7uvLxyR3XZzNsh5P8r8Fdz/83D57vyxboPUGndqoHgfjQHpL6tk6KdCTsX3lk9J91efs6hTXTbo5B22W9YAObYIPfZTvmWULtN6eakpvekk1pz9958ORpsSZu75AT8b2lU9Kd1bVgnZx56E9x2aW9YBOfZZP3enie2bZAq23p89+Pb17AkNvUPN/7PUFejK2r3xSuq+qH3Qrn6v/T6VuCGZZD+jQZ7nKdZTde2bZAq235zCa0v0ht96a+v/Xe/8/0gI9GdtXPind1zBqh/7/ATfLejCDqB3bDN4zyxZovTnV/3a8nNKlt6NeOPpU1eiuQE/G9pVPSndW/d/S/S+jjhFos6xH18burlm2QOvNqf5n3sWULr0h52m1+v/y0gI9GdtXPimhmoJglvXguuJ71yxboPXmfPmYLjQ6uYROb87X/7tdH9fNp5OxfeWTEqldOGqW9eC65cp3zbIFWm/OMKTDAEtvSFqgJ2P7yiclUvuDKbOsh1ZfYTROHN81yxZovTmnwf9NMlyjJ70howJ9GdtXPimBqtpRL/E0y3pcp8F9VO6aZQu03pyj068eQzq7Tsb2lU9KnPqXsXXqzLIe13Fw08C7ZtkCrTfH6VcPwgKtzaj7c1xwwCzrcR126SX6LdAqi9OvHoQFWlvRXJmxZpb14E5tg7ZAqyyuoNODcA20NqL+2VV7n2KzrEfX3nfbNdAqi7/h1oPwKhzahqoZdP3ZLOvxNeeOvQqHyuJVRPUgvA60NqG+cEF/wzWzrIfXpNDrQKss3sdKD8I7EWoLjslVCypmWQ+vqb7eiVBlWb77vPRmpAV6MravfFICHHajE2tmWQ9oeLa4eXTXLFug9fakKa3+B+B+8d3S9zL4hclkbF/5pHR3h93FOWKzrMczjFo7Od8zyxZovT2n5P9PPLqATm/WoEBPxvaVT0r3Vq3fGJ8iNst6QGnZrU4dt7fVvFuWLdB6e6roN72kvRaN9AYNCvRkbF/5pHRnp4n+bJb1iE7JT2GPbfG9Z5Yt0HqDTu1vWo7jxXnSGzK8SOhkbF/5pHRXVT+YCJtZ1gM6tBdjTG8LdMcsW6D1FjV3s09vaS+9OcMCPR3bVz4p3dNpN9IE2izr8dS9udX9/yr3y7IFWm/ScS6x0tsxKtDTsX3lk9IdHXYjbaDNsh5Qn+fk1353y7IFWm/UYTwIpLdmXKBnYvvKJ6V7GZyyGxRos6xH1CT628Z2LssWaEmSJOkGFmhJkiTpBhZoSZIk6QYWaEmSJOkGFmhJkiTpBhZoSZIk6QYWaEmSJOkGFmhJkiTpBhZoSZIk6QYWaEmSJOkGFmhJkiTpBhZoSZIk6QYWaEmSJOkGFmhJkiTpBhZoSdLd/fou/NP3PhBJ+gYs0JKk+2rbc/iXu+/vf/4/d9+FpLJZoCVJ9/T7u5H/+N/vur9//+f/xQIt6b4s0JKkO/rbuD+/e/cf/vV+u/v//su7dxZoSXdmgZYk3U3VZ5Ozzv/vf753g67Od1ugJd2ZBVqSdDd/G/90MCr0/SquBVoSwAItSbqX3y9/NhjnpP90zz1aoCXdmQVaknQncbr5XyaevNsPCS3QkgAWaEnSnfw6ebL593uegrZASwJYoCVJ9zFzrrlexDEoub9nXt+u+U1ieorbAi0JYIGWJN3H3KnmX4e/K0wvdPcvw6fTGxcmj/9WX8ijqc/Jx5I7ttzzUnmSimeBliTdx9+uKbJJDR5esGOtQP/7Pycf+1P9vAVaEsMCLUm6i7oary2nGNTgwRXuVgr0fx1+sD4HbYGWxLBAS5Luou7G/7T8nub88z+N//2yVqD7886/973bAi2JYYGWJN3F7+Mf+E34dfDjwd/T6rtaoNtz1XXxbj/ljwglASzQkqS7+HW9QI9Xefz+btiSlwp0f82OtKlboCUBLNCSpLv4dX0lxcVbkifWCvSfulfqGt48tEBLAligJUl3sV6g6ytCD1ZJJ114pUAnW643Ex+yQEsiWKAlSXexXqDrujxc5NHX5JUCnbbk5CULtCSABVqSdBfrBbq6TsfoHb92BXilQM+8ZIGWBLBAS5Lu4roCPbp/9+/dzwMt0JLeLAu0JOku1i9j17fliacs0JLeLAu0JOku6hup/GnpHRZoSY/JAi1Juov6J4KLdyK0QEt6TBZoSdJd1FeXmyyzf2uenlkD7Y8IJb1xFmhJ0n3M/Yqwu/+gV+GQ9Jgs0JKk+5hbBP17eyPBW64Dnd50xQIt6fuyQEuS7qPuvKMlGu3TceJ53ITTzj16LV1RbYGW9H1ZoCVJd/Lru6lT0PUJ6Ci5F4s8kid+HVbh+lMWaElvggVaknQn9Vnj8aWg0yfrfyfnqJNuPbqMdHzqugJ9edJbkr4pC7Qk6V7qEjxs0NGE25PE9TnqrvAO3l6v5mhfik9ZoCW9DRZoSdLd/C3tvZXoyN2yjbQYD0tyLJVu6nS1mf/0z9cU6Lp2L158WpJezQItSbqbpgW3J4WjPqfnpOvCm+oXMP8+eP4//rerCnTTwicvnydJ34gFWpJ0P22DHkjXdLSNtzHuxa3/8K//flWB7vY3WnktSd+QBVqSdE9/ezcyXqL8t7QmD175NT0vfV2B7gr5n+71fSTJAi1Juq/ROeaJU8O/j1dvjF6pK/eVBbqt3a6DlnQ/FmhJ0r11HdpLNEvaAgu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0Awu0JEmSdAMLtCRJknQDC7QkSZJ0g/8f+ihCJta/Ix0AAAAASUVORK5CYII=" title alt width="1440" /></p>
+<p>The are 68 occupations in the list. Many borowers don’t specify their occupations (with category Other). There are also missing values</p>
+<div id="iii.-employment-status" class="section level5">
+<h5>III. Employment status</h5>
+<p><img 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" title alt width="672" /></p>
+<p>Most of the borrowers are employed (60%), work full-time(20%),part-time (2%) and self-employed (5%)… There are only 835 borrowers unemployed (very small percentage). There are missing values, Other and Not available answer which make it difficult to determine these borrowers’ employment status.</p>
+</div>
+<div id="employment-status-duration" class="section level5">
+<h5>Employment status duration</h5>
+<p>Employment status duration is the length in months of the employment status at the time the listing was created.</p>
+<p><img 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" title alt width="672" /></p>
+<p>To have a more general view of employment duration, I will join the duration by years by bucket</p>
+<pre><code>## 
+##   (0,5]  (5,10] (10,15] (15,20] (20,25] (25,30] (30,35] (35,40] 
+##   48076   25624   14194    7362    4449    2715    1408     604</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>From the chart, we can see that nearly 5000 borrowers have stayed in their current status from 1 to 5 years. However, knowing this number doesn’t make any sense if we don’t know which status they are in. So, I will color the employment status against this bar chart</p>
+<p><img 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" title alt width="672" /></p>
+<p>It’s clear that most borrowers are employed and full-time employed. Over 30,000 borrowers have been employed from 1-5 years. Unemployed borrowers only stay in that status for less than 5 years.</p>
+</div>
+</div>
+<div id="iv.-income-range" class="section level4">
+<h4>IV. Income Range</h4>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<pre><code>##   Not employed  Not displayed             $0      $1-24,999 $25,000-49,999 
+##            806           7741              0           7274          32192 
+## $50,000-74,999 $75,000-99,999      $100,000+           NA's 
+##          31050          16916          17337            621</code></pre>
+<p>Over 60000 borrowers earn from 25000 to 75000 annually (account for half of the dataset)</p>
+<div id="income-range-vs.income-verifiable" class="section level5">
+<h5>Income Range vs. Income Verifiable</h5>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Only a very small number of borrowers cannot verify income. The only exception appears in Not-employed group, but the reason is quite obvious.</p>
+</div>
+</div>
+<div id="v.-homeownership" class="section level4">
+<h4>V. Homeownership</h4>
+<pre><code>## Source: local data frame [2 x 2]
+## 
+##   IsBorrowerHomeowner     n
+##                 (lgl) (int)
+## 1               FALSE 56459
+## 2                TRUE 57478</code></pre>
+<p>The number of borrowers who own a house is similar to those who don’t own the house. It seems having a collateral doesn’t affect a Prosper loan listing</p>
+</div>
+<div id="v.-borrowers-credit-information" class="section level4">
+<h4>V. Borrower’s Credit Information</h4>
+<div id="prosper-score" class="section level5">
+<h5>1. Prosper Score</h5>
+<p>Prosper Score is a custom risk score built using historical Prosper data. The score ranges from 1-11, with 11 being the best, or lowest risk score. Applicable for loans originated after July 2009.</p>
+<p><img 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" title alt width="672" /></p>
+<p>The most common Prosper Score is 4, 6, 8 (account for nearly 15% each)</p>
+</div>
+<div id="credit-score" class="section level5">
+<h5>2.Credit Score</h5>
+<p><img 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" title alt width="672" /></p>
+<p>Similar to prosper rating and prosper score, many borrowers have medium credit score range from 640 to 779. Very few have scores lower than 640 or higher than 780.</p>
+</div>
+<div id="debtincome-ratio" class="section level5">
+<h5>3.Debt/Income Ratio</h5>
+<p>The debt to income ratio of the borrower at the time the credit profile was pulled. This value is Null if the debt to income ratio is not available. This value is capped at 10.01 (any debt to income ratio larger than 1000% will be returned as 1001%).</p>
+<p><img 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" title alt width="672" /></p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   0.140   0.220   0.276   0.320  10.010    8554</code></pre>
+<pre><code>## [1] 272</code></pre>
+<p>There are 272 outliers with debt/income ratio = 1001%. However, most borrowers have debt to income ratio smaller than 0.5. The most occurrence is around 0.1 to 0.25.</p>
+</div>
+<div id="credit-history" class="section level5">
+<h5>4. Credit history</h5>
+<p><strong>Current Deliquencies</strong>: Number of accounts delinquent at the time the credit profile was pulled.</p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##  0.0000  0.0000  0.0000  0.5921  0.0000 83.0000     697</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>87.7% Prosper Borrowers (100,000) have no current delinquenct accounts at the time they created the listing.</p>
+<p><strong>Inquiries Last 6 Months</strong>: Number of inquiries in the past six months at the time the credit profile was pulled. Inquiries are the number of times borrowers attempted to borrow money in the past six months</p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   0.000   1.000   1.435   2.000 105.000     697</code></pre>
+<p><img 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" 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+<p><strong>Bank card utilization</strong>: The percentage of available revolving credit that is utilized at the time the credit profile was pulled.</p>
+<p><img 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" 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" title alt width="672" /></p>
+<p>There are nearly 7000 borrowers with 0 bank card utilization. However, among 99,551 (87.4%) borrowers who use their credit cards, there are 63% have the bank card utilization more than 50%. There are 1744 borrowers whose bank card utilization larger than 100%.</p>
+</div>
+<div id="prior-prosper-loan-performance" class="section level5">
+<h5>6.Prior Prosper Loan Performance</h5>
+<pre><code>## [1] 22084</code></pre>
+<pre><code>## [1] 0.1938264</code></pre>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## Source: local data frame [10 x 2]
+## 
+##    TotalProsperLoans     n
+##                (int) (int)
+## 1                  0     1
+## 2                  1 15538
+## 3                  2  4540
+## 4                  3  1447
+## 5                  4   417
+## 6                  5   104
+## 7                  6    29
+## 8                  7     8
+## 9                  8     1
+## 10                NA 91852</code></pre>
+<p>There are 22084 borrowers have prior prosper loans, which account for 19%. Among them, 70% have only 1 prior prosper loans</p>
+<pre><code>## Source: local data frame [3 x 2]
+## 
+##   prior.prosper.performance &lt; 1     n
+##                           (lgl) (int)
+## 1                         FALSE 18214
+## 2                          TRUE  3806
+## 3                            NA 91917</code></pre>
+<pre><code>## 
+##     FALSE      TRUE 
+## 0.8271571 0.1728429</code></pre>
+<p>Among 22084 borrowers who have prior prosper loans, there are 18214 borrowers pay on time (82.7%), 3806 (17.3%) borrowers have overdue</p>
+</div>
+</div>
+</div>
+<div id="c.-loan-activity" class="section level3">
+<h3>C. Loan Activity</h3>
+<div id="i.-loans-actual-performance" class="section level4">
+<h4>I. Loans actual performance</h4>
+<p>Loan status</p>
+<p><img 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" title alt width="672" /></p>
+<p>There are over 56576 Current loans (50%), over 38074 completed loans (35%) . 19077 loans have delinquent which account for 16,7% consisting of: 2067 cases deliquent from 1 to 120 days past-due, 5018 default (121+ days past due) and 11992 Chargeoff loans (150+ days past dues, no expectation of sufficient payment)</p>
+<pre><code>## [1] 16902</code></pre>
+<pre><code>## [1] 0.1483451</code></pre>
+<p>Number of Gross principal Loss cases: 16902 account for 14%</p>
+</div>
+<div id="ii.-borrower-rate-interest" class="section level4">
+<h4>II. Borrower rate (Interest)</h4>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##  0.0000  0.1340  0.1840  0.1928  0.2500  0.4975</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>Mean interest rate is 19.28%. Haft of the rate is about 13.4% to 25%. The distribution is quite bimodal, which two modes of frequent interest rate: from 14-16% to 31-32%, which is pretty high.</p>
+<p>Do the borrower rate diffirent with different original loan quarter? To discover this, I’ll graph the mean of borrower rate against loan origination quarter and year</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+<div id="iii.-borrower-apr" class="section level4">
+<h4>III. Borrower APR</h4>
+<p>Borrower APR is the Borrower’s Annual Percentage Rate (APR) for the loan. APR refers to the total cost of borrowing, as the calculation for APR includes not only the interest rate, but also many other fees the borrower might be charged. So APR is seen as the “effective interest rate,” a way for borrowers to compare one loan to another.</p>
+<p><img 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" title alt width="672" /></p>
+<p>The Borrower APR distribution looks similar to that of borrower rate, although the histogram shifts rightward, indicating that the APR is generally larger than interest rate. But how large is the difference?</p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   1.900   2.502   2.604   3.653  14.930      25</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>As the APR is equal to interest rate plus fees. The most common fees are around 0.5-1%, 2-3% and 3.5-4%. What cause the difference in fees?</p>
+</div>
+<div id="iv.-investors" class="section level4">
+<h4>IV. Investors</h4>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    2.00   44.00   80.48  115.00 1189.00</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>75% of loans have less than 115 investors. There are outliers, however, some loans have more than 1000 investors. I wonder what make these loans so attractive. The distribution of investor counts is right-skewed. To make it normal, I’ll transform it to log10 to reduce skewness</p>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## Source: local data frame [2 x 2]
+## 
+##   Investors == 1     n
+##            (lgl) (int)
+## 1          FALSE 86123
+## 2           TRUE 27814</code></pre>
+<p>There are over 27000 loans with only 1 investors, I will cut that out of the histogram to have a better feel of investor distribution</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+</div>
+</div>
+<div id="univariate-analysis" class="section level1">
+<h1>Univariate Analysis</h1>
+<div id="what-is-the-structure-of-your-dataset" class="section level3">
+<h3>What is the structure of your dataset?</h3>
+<p>This data set contains 113,937 loans with 81 variables on each loan. The variables can be classified into 3 categories: 1. Listing summary: the summary of information about the loan application based on which lenders can make investing decisions (prosper rating, loan term, loan amount, loan purpose and estimated performance of a loan such as estimated effective yield, estimated lender yield, estimated loss rate and estimated return rate) 2. Borrower’s information: borrowers’ geography, employment status and status duration, prosper score, borrower’s credit history such as credit score, prosper score, number of credit lines and current/past delinquencies… 3. The loan activity: the status of loans, number of investors, the borrower rate/APR and the loans’ performance</p>
+</div>
+<div id="what-isare-the-main-features-of-interest-in-your-dataset" class="section level3">
+<h3>What is/are the main feature(s) of interest in your dataset?</h3>
+<ul>
+<li>The number of investors participate in a loan</li>
+<li>The interest rate (borrower rate) and APR of the loan</li>
+<li>The underperformed loans (charge-off loans)</li>
+</ul>
+</div>
+<div id="what-other-features-in-the-dataset-do-you-think-will-help-support-your-investigation-into-your-features-of-interest" class="section level3">
+<h3>What other features in the dataset do you think will help support your investigation into your feature(s) of interest?</h3>
+<ul>
+<li>What factors deciding the borrower rate and APR of a loan: prosper rating, estimated loss rate and loan term…</li>
+<li>What attract investors to a loan: I suspect that investor may look at prosper rating, lender yield, return yield, employment status, debt to income ratio, credit rating… to decide whether a loan is rewarding</li>
+<li>Common features of underperfomed loans: prosper rating, debt to income ratio, delinquencies history, proser loan history or public record…</li>
+</ul>
+</div>
+<div id="did-you-create-any-new-variables-from-existing-variables-in-the-dataset" class="section level3">
+<h3>Did you create any new variables from existing variables in the dataset?</h3>
+<p>I created several new variables - difference.in.rate: show the difference between borrower APR and borrower rate - duration.by.bucket: join the duration of employment status duration into different intervals - rate.vs.time: group the dataset by quarter and year to compare the borrower’s rate - CreditRange: a range of lower and upper Credit Score - prior.prosper.performance: the performance of the prior prosper loan, which represent the ratio of on time payment on total billed payments. - CurrentDelinquence.bucket, Delinquence7year.bucket, Inquiries6month.bucket</p>
+</div>
+<div id="of-the-features-you-investigated-were-there-any-unusual-distributions-did-you-perform-any-operations-on-the-data-to-tidy-adjust-or-change-the-form-of-the-data-if-so-why-did-you-do-this" class="section level3">
+<h3>Of the features you investigated, were there any unusual distributions? Did you perform any operations on the data to tidy, adjust, or change the form of the data? If so, why did you do this?</h3>
+<p>The investor distribution is right-skewed. So I take the log10 of the number of investors to create a more normal distribution. I hope to build a regression model for this variable later.</p>
+</div>
+</div>
+<div id="bivariate-and-multivariate-plots-section" class="section level1">
+<h1>Bivariate and Multivariate Plots Section</h1>
+<div id="i.-prosper-rating-estimated-loss-rate" class="section level2">
+<h2>I. Prosper Rating &amp; Estimated Loss Rate</h2>
+<p>Prosper Rating represents an estimated average annualized loss rate range to the investor. The estimated loss rate is based on the historical performance of Prosper loans with similar characteristics.</p>
+<p><img 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" 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" title alt width="672" /></p>
+<p>Prosper Rating vs. Estimated Avg. Annual Loss Rate</p>
+<ul>
+<li>AA 0.00 - 1.99%</li>
+<li>A 2.00 - 3.99%</li>
+<li>B 4.00 - 5.99%</li>
+<li>C 6.00 - 8.99%</li>
+<li>D 9.00 - 11.99%</li>
+<li>E 12.00 - 14.99%</li>
+<li>HR &gt; 15.00%</li>
+</ul>
+</div>
+<div id="estimated-loss-by-prosper-score-and-credit-range" class="section level2">
+<h2>Estimated Loss by Prosper Score and Credit Range</h2>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAMAAADDuCPrAAAA81BMVEUAAAAAADoAAGYAOjoAOpAAZmYAZrYzMzM6AAA6kJA6kLY6kNtmAABmAGZmtv9/f39/f5V/f6t/lZV/lat/lcF/q8F/q9aQOgCQkNuQ2/+Vf3+Vf5WVlcGVwdaVweurf3+rlX+rlcGrq5Wrweur1uur1v+2ZgC225C2///BlX/BlZXBwZXBwavB1sHB69bB6//Wq3/Wq5XWq6vW1tbW1v/W68HW6+vW/9bW///bkDrbtmbb/7bb///l5eXrwZXr1tbr68Hr6+vr6//r/+vr///y8vL/tmb/1qv/1sH/25D/68H/6+v//7b//9b//9v//+v///8ESUNiAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO2da4McN3qdZ53NSokUUZtstFkmoRLby1jOZce5molJZ5M1x2LE5fz/X5O+obu6u6oAFF7gvACf80XS6BA8B4V+prqrUP3wjBBCaJMe1AEQQqhXAVCEENooAIoQQhsFQBFCaKMAKEIIbRQARQihjQKgCCG0UQAUIYQ2CoAihNBGAVCEENooAIoQQhsFQBFCaKMAKEIIbRQARQihjQKgCCG0UQAUIYQ2CoAihNBGAVCEENooAIoQQhsFQBFCaKMAKEIIbRQARQihjQKgCCG0UQAUIYQ2CoAihNBGAVCEENooAIoQQhsFQBFCaKMAKEIIbRQARQihjQKgCCG0UQAUIYQ2CoAihNBGAVCEENooAIoQQhsFQBFCaKMAKEIIbZQDgL5d0sr/cmfVJ+iq1xdfiK36BOnWh71SzfIVo19cNtZEegFQG6s+QVe91ExykCDZ+vCQQ1D5itEvLgCqmrMCqz5BV73k+NInSLU+PGQRVL5i9IsLgKrmrMCqT9BVLzm+9AkSrQ8PeQSVrxj94gKgqjkrsOoT+O71RUTbrHd/SXJWAOrAqk8AQL1Y9Qlc94pBcUKTDOv935KcFYA6sOoTAFAvVn0C172++GJ9DVwBNNl6/7ckZwWgDqz6BADUi1WfwHUvALrVCkBF1kR6AVAbqz6B614AdLM1j58Z1+vlVgfLG4B6seoTuO4FQLdbs/mZ5pVb3zpY3gDUi1WfwHUvAFpgzeZniltufVvtxBaAmk5EG6s+geteALTEmnoMMj4vlVvf1juxBaCmE9HGqk/guhcALbGOCdBqJ7YA1HQi2lj1CVz3AqAtrHIq5gC02oktALWdiDZWfQLXvQBoC6ucigBUocoT0caqT+C6FwBtYZVTEYAqVHki2lj1CVz3AqAtrHIqAlCFKk9EG6s+geteALSFVU5FAKpQ5YloY9UncN0LgDaxZnBGbuUqvJUqT0Qbqz6B614AtI01gzNyK/eBGqnyRLSx6hO47gVAG1kzOCO3shPJRpUnoo1Vn8B1LwDayKpfMaO8aBLpBUBtrPoErnsB0EZW/YoZ5UWTSC8AamPVJ3DdC4A2supXzCgvmkR6AVAbqz6B614AtJFVv2JGedEk0guA2lj1CVz3AqCNrPoVM8qLJpFeANTGqk/guhcAbWTVr5hRXjSJ9AKgNlZ9Ate9AGgjq37FjPKiSaQXALWx6hO47gVAG1n1K2aUF00ivQCojVWfwHUvANrIql8xo7xoEukFQG2s+gSuewHQRlb9ihnlRZNILwBqY9UncN0LgDay6lfMKC+aRHoBUBurPoHrXgC0kVW/YkZ50STSC4DaWPUJXPcCoI2srp/P0WhYAKqaswKrPoHrXgC0jdX3E+IaDQtAVXNWYNUncN0LgDaxOn9GcaNhAahqzgqs+gSue30R1cS6vlwA6KIu33zh81syGg0LQFVzVmDVJ3DdqxJA00edSZTcqxsrADW0JtILgNpY9Qlc96oD0PioJmer3VgBqKE1kV4A1MaqT+C6Vy2ARpYWADWw7uV6cdWxJtILgNpY9Qlc9wKgLawA1NCaSC8AamPVJ3Ddq85VeAB6I67C21kT6QVAbaz6BK57AdA2Vu4DNbMm0guA2lj1CVz3AqCNrBlQzLD6Xlx1rIn0AqA2Vn0C170AaCOrfsWM8qJJpBcAtbHqE7juBUAbWfUrZpQXTSK9AKiNVZ/AdS8A2siqXzGjvGgS6QVAbaz6BK57AdBGVv2KGeVFk0gvAGpj1Sdw3QuANrLqV8woL5pEegFQG6s+geteALSRVb9iRnnRJNILgNpY9Qlc9wKgjaz6FTPKiyaRXgDUxqpP4LoXAG1k1a+YUV40ifQCoDZWfQLXvQBoI6t+xYzyokmkFwC1seoTuO4FQBtZ6yyDSpuW9MsbgHqx6hO47gVAG1mrLINa2+b1yxuAerHqE7juBUAbWWssg2oPbtIvbwDqxapP4LoXAG1krbAM6j06VL+8AagXqz6B614AtJEVgAJQ3ZwVWPUJXPcCoI2sFR5nB0DXBEBtrPoErnsB0DbWGg9UBqBrAqA2Vn0C170AaBNrla/0AKBrAqA2Vn0C170AaAtrBurqWPca5UWTSC8AamPVJ3DdC4C2sAJQQ2sivQCojVWfwHUvANrCCkANrYn0AqA2Vn0C170AaAsrADW0JtILgNpY9Qlc9wKgLawA1NCaSC8AamPVJ3DdC4A2sWaQro717TgvmkR6AVAbqz6B614AtI01g3R1rOO8aBLpBUBtrPoErnsB0EbWDNLVsQ7zokmkFwC1seoTuO4FQBtZ9StmlBdNIr0AqI1Vn8B1LwDayKpfMaO8aBLpBUBtrPoErnsB0EZW/YoZ5UWTSC8AamPVJ3DdC4A2supXzCgvmkR6AVAbqz6B614AtJFVv2JGedEk0guA2lj1CVz3AqCNrPoVM8qLJpFeANTGqk/guhcAbWTVr5hRXjSJ9AKgNlZ9Ate9AGgjq37FjPKiSaQXALWx6hO47gVAG1n1K2aUF00ivQCojVWfwHUvANrIql8xo7xoEukFQG2s+gSuewHQRlb9ihnlRZNILwBqY9UncN0LgDay6lfMKC+aRHoBUBurPoHrXgC0kVW/YkZ50STSC4DaWPUJXPcCoI2s+hUzyosmkV4A1MaqT+C6FwBtZNWvmFFeNIn0AqA2Vn0C170AaCOr/iGfo7xoEukFQG2s+gSuewHQNlYHj5kf5UWTSC8AamPVJ3DdC4A2sXr4oqNRXjSJ9AKgNlZ9Ate9sqgYU/KonxtAXXzV5igvmkR6AVAbqz6B6156gKaPOhM+eQoA6DAvmkR6AVAbqz6B615ygMZHHeBkFYAaWhPpBUBtrPoErns5AGiydSZ88hQA0GFeNIn0AqA2Vn0C170AaAsrADW0JtILgNpY9Qlc95Jfhf8sAMpVeENrZL0EAVAbqz6B614AtI2V+0DNrJH1EgRAbaz6BK57AdBG1gwoZlh9L6461sh6CQKgNlZ9Ate9AGgjq37FjPKiiayXIABqY9UncN0LgDay6lfMKC+ayHoJAqA2Vn0C170AaCOrfsWM8qKJrJcgAGpj1Sdw3QuANrLqV8woL5rIegkCoDZWfQLXvQBoI6t+xYzyoomslyAAamPVJ3DdC4A2supXzCgvmsh6CQKgNlZ9Ate9AGgjq37FjPKiiayXIABqY9UncN0LgDay6lfMKC+ayHoJAqA2Vn0C170AaCOrfsWM8qKJrJcgAGpj1Sdw3QuANrLqV8woL5rIegkCoDZWfQLXvQBoI6t+xYzyoomslyAAamPVJ3DdC4A2supXzCgvmsh6CQKgNlZ9Ate9AGgjq37FjPKiiayXIABqY9UncN0LgDay6lfMKC+ayHoJAqA2Vn0C170AaCNrncfZVXrynX55A1AvVn0C170AaBtrnQcq13r2sn55A1AvVn0C170AaBNrna/0qPbtH/rlDUC9WPUJXPcCoC2sdb5Urt73z+mXNwD1YtUncN0LgLawAlBDa2S9BAFQG6s+geteALSFFYAaWiPrJQiA2lj1CVz3AqAtrADU0BpZL0EA1MaqT+C6FwBtYQWghtbIegkCoDZWfQLXvQBoE2sG6epY347zoomslyAAamPVJ3DdC4C2sWaQro51nBdNZL0EAVAbqz6B614AtJE1g3R1rMO8aCLrJQiA2lj1CVz3AqCNrPoVM8qLJrJeggCojVWfwHUvANrIql8xo7xoIuslCIDaWPUJXPcCoI2s+hUzyosmsl6CAKiNVZ/AdS8A2siqXzGjvGgi6yUIgNpY9Qlc9wKgjaz6FTPKiyayXoIAqI1Vn8B1LwDayKpfMaO8aCLrJQiA2lj1CVz3AqCNrPoVM8qLJrJeghwA9O+WtPK/3Fn1CVz3ilOxhnXizbDOhE+eArlVv2JGedFE1kuQA4D6+aVTYNUncN2LM9BGVv2KGeVFE1kvQQDUxqpP4LoXAG1k1a+YUV40kfUSBEBtrPoErnsB0EZW/YoZ5UUTWS9BANTGqk/guhcAbWTVr5hRXjSR9RIEQG2s+gSuewHQRlb9ihnlRRNZL0EA1MaqT+C6FwBtZNWvmFFeNJH1EgRAbaz6BK57AdBGVv0z6jKs+gQA1ItVn8B1LwDaxurgKcnpVn0CAOrGqk/guhcAbWL18D0dyVZ9AgDqx6pP4LoXAG1hdfFNcalWfYJ1a2S9BAFQG6s+geteX0Q1sa4vFwC6KABqaE2kFwC1seoTuO4FQFtYAaihNZFeANTGqk/QVa9VXK0vFwC6KABqaE2kFwC1seoTdNULgAJQeYJ1ayK9AKiNVZ+gq14AlKvw+gQA1I9Vn6CrXgCU+0AdJACgbqz6BF31AqDsRPKQAIB6seoTdNULgLIX3kMCAOrFqk/QVS8ACkA9JACgXqz6BF31AqAA1EMCAOrFqk/QVS8ACkA9JACgXqz6BF31AqAA1EMCAOrFqk/QVS8ACkA9JACgXqz6BF31AqAA1EMCAOrFqk/QVS8A2tV9oJXuLuU+UBP5mbMCqz5BV70AaE87kSrtb2Inko38zFmBVZ+gq14AtKO98JV22LMX3kh+5qzAqk/QVS8A2s/TmOpYeRqTmfzMWYFVn6CrXgAUgAJQI/mZswKrPkFXvQAoAAWgRvIzZwVWfYKuegFQAApAjeRnzgqs+gRd9QKgABSAGsnPnBVY9Qm66gVAh7wKnwXFLH4C0GX5mbMCqz5BV70A6JD3geadVebwE4Auy8+cFVj1CbrqBUBr7UT64ossKArPQNmJZCQ/c1Zg1SfoqhcArbUXPtGr/wx0L/nyBqBerPoEXfXyDdAvItrUq40VgAJQ3ZwVWPUJuurlGqAxfno+WdUCNPPCkH55A1AvVn2Crno5B2iyNaNXG6sYoHkXhvTLG4B6seoTdNULgA4K0KwLQ/rlDUC9WPUJuuoFQMUArfWIJQ+LC4Cq5qzAqk/QVS8AqgZorYd8OlhcAFQ1ZwVWfYKuegFQOUBrPWZev7gAqGrOCqz6BF31AqB6gA67uACoas4KrPoEXfUCoADUQwIA6sWqT9BVLwAKQD0kAKBerPoEXfUCoADUQwIA6sWqT9BVLwAKQD0kAKBerPoEXfUCoADUQwIA6sWqT9BVLwAKQD0kAKBerPoEXfUCoADUQwIA6sWqT9BVLwAKQD0kAKBerPoEXfUCoADUQwIA6sWqT9BVLwAKQD0kAKBerPoEXfUCoADUQwIA6sWqT9BVLwAKQD0kAKBerPoEXfUCoADUQwIA6sWqT9BVLwCqByiPswOgfqz6BF31AqBygPJA5XVrZL0EAVAbqz5BV70AqBqgfKVHxBpZL0EA1MaqT9BVLwAqBihfKhezRtZLEAC1seoTdNULgA4KUL7WuL38zFmBVZ+gq14AdEyA5r3b1y9vAOrFqk/QVS8rgEaVOioAbWw9SL68AagXqz5BV70AKAB962B5A1AvVn2CrnoBUAD61sHyBqBerPoEXfUCoAD0rYPlDUC9WPUJuuoFQAHoWwfLG4B6seoTdNWLq/Bj3kifx0/98gagXqz6BF31AqBqgFbaypnFT/3yBqBerPoEXfUCoHKAVnqYSA4/9csbgHqx6hN01QuA6gE67OICoKo5K7DqE3TVC4ACUA8JAKgXqz5BV70AKAD1kACAerHqE3TVC4ACUA8JAKgXqz5BV70AKAD1kACAerHqE3TVC4ACUA8JAKgXqz5BV70AKAD1kACAerHqE3TVC4ACUA8JAKgXqz5BV70AKAD1kACAerHqE3TVC4DqAdrVTqT2G0Qj6yUIgNpY9Qm66gVA5QDtai+84BElkfUSBEBtrPoEXfUCoGqAdvU0JsVD8iLrJQiA2lj1CbrqBUDFAK3zkM8M60GJKyZzWABqOhFtrPoEXfUCoAD0LQC1UeWJaGPVJ+iqFwAFoG8BqI0qT0Qbqz5BV70AKAB9C0BtVHki2lj1CbrqBUAB6FsAaqPKE9HGqk/QVS8ACkDfchXeRpUnoo1Vn6CrXgAUgL7lPlAbVZ6INlZ9gq56AdB+AJpx/lcNoOxEWlHliWhj1SfoqhcA7Qig6ed/9QDa3hpZL0EA1MaqT9BVLwDaE0CTz/8AqEJ+5qzAqk/QVS8A2tFWzre1rvbolzcA9WLVJ+iqFwBVA7TSdZmsUfXLG4B6seoTdNULgMoBWum6TM6o+uUNQL1Y9Qm66gVA9QAddnEBUNWcFVj1CbrqBUABqIcEANSLVZ+gq14AFIB6SABAvVj1CbrqtcqgmCbWyNICoGsadXEBUNWcFVj1CbrqBUABqIcEANSLVZ+gq1429ACgRd5RFxcAVc1ZgVWfoKteABSAekgAQL1Y9Qm66gVAAaiHBADUi1WfoKteABSAekgAQL1Y9Qm66gVAAaiHBADUi1WfoKteABSAekgAQL1Y9Qm66gVAAaiHBADUi1WfoKteAFQP0IzHftSxOljeANSLVZ+gq14AVA7QjAfP1bG+dbC8AagXqz5BV70AqBqg+d/oYWzdS768AagXqz5BV70AqBigGV++Ucd6kHx5A1AvVn2CrnoNA9DkffuVpmCrF4DGrIn0AqA2Vn2CrnqNAtCMJ5/UmYKtXgAasybSC4DaWPUJuuo1DkCTrXWmYKsXgMaskfUSBEBtrPoEXfUCoAD0rYPlDUC9WPUJuuoFQLkK/9bB8nYB0KcXO3039/NXMctBfuaswKpP0FUvAKoGKPeBRqyR9RJUDtDHFwf98q9vfv7x+zNAlyxH+ZmzAqs+QVe9AKgcoOxEWrdG1ktQMUDfvdhz8sPLF7/6w9XPd/wMAF2ynORnzgqs+gRd9QKgeoAOu7i6Amg4z9zh8bfTn+/+OwB0yRLkZ84KrPoEXfUCoHqA1nmvzRlonp7CG/PHq884d2/a/9m/OQF0wXKWnzkrsOoTdNULgMoBWudqD5+BZuoxvC9/N/2Ic3ey+erTDyeAzlsu8jNnBVZ9gq56AVA1QOvcb8RV+EztKHk6q3x68e3vzj/+8K/+8BwAumC5yM+cFVj1CbrqBUD7uQ90r8RDy32guTqfZu5OOm/oOAHoveXFRGUJUI+K8izJmkDFDdaod5s1438VWFO9E9Sljy0a1bUKi17uVVoE6KwFgH7eAqAAdAwZAvTmGvscQGcvw/s5ay+w6hN01Yu38LyFTx9WYo2slyDRGehUfuaswKpP0FUvAApA04eVWCPrJUj0GehUfuaswKpP0FUvADokQLkKn6vpJfabe5TmrsJzG1NvVgBqZa0zBVu9lQDKfaC5mtzkebNRc+4+0Nm9nH7mrMCqT9BVLwA6KEDZiZSp5W1GZ4CyE6ljKwC1staZgq1eABqzRtZLUK298BOAshe+YysAtbLWmYKtXt7Cx6yR9RJU7WlMk4tHPI2pXysAtbLWmYLN3ix+5hmTCeqatZH1EmT7PNAdNM+QvACU54H2awWgVtY6U7DVm3UGmmtM5KLvC/aR9RJk+0T6BYDyRPpurQDUylpnCrZ6c1C3wWn/9R8DA7RUfuaswKpP0FUvANoPQOtY613GAqCyOSuw6hN01QuAAlAAaiQ/c1Zg1SfoqhcABaAA1Eh+5qzAqk/QVS8ACkABqJH8zFmBVZ+gq14AFIACUCP5mbMCqz5BV70AaEf3gdaxchXeSn7mrMCqT9BVLwCqBmjOXZh1rNwHaiQ/c1Zg1ScYtRcArQPQnH1AdazsRLKRnzkrsOoTjNoLgFYCqP7Q6hMAUC9WfYJRewFQAKqwRtZLEAC1seoTjNoLgAJQhTWyXoIAqI1Vn2DUXgAUgCqskfUSlAfQH798ePj532T9kbj8zFmBVZ9g1F4AFIAqrJH1EpQI0J++3nNzz8+Hh5/9JnHsRPmZswKrPsGovQAoAFVYI+slKA2g7x8e/uQvnv/46+ONW7t/tZSfOSuw6hOM2guAAlCFNbJegpIAuj/z3J137v6xY+ebh4evEgdPk585K7DqE4zaC4ACUIU1sl6CkgC6Y+Yvjv/Yo/P14T/s5GfOCqz6BKP2AqAAVGGNrJegFIDu3rrvPwHd/ePw8ed74/fwfuaswKpPMGovAApAFdbIeglKAehPXz98c/zHgZwA1GWCUXsBUACqsEbWS1AGQN8f38gDUJ8JRu0FQAGowhpZL0EZAH39cPjH8xvjW0H9zFmBVZ9g1F4AFIAqrJH1EpT4GehXl49AdzjlIpLDBKP2AqAAVGGNrJegpKvwr/fofHPchLS/pembxMHT5GfOCqz6BKP2AqB6gFZ6nJ1+cTUC6HEH0gGcu/fx1ps5/cxZgVWfYNReAFQO0EoPVHawuBoBdH/2eQLnG/ONSADUs1WfAICqAVrpKz0yEiiskfUSlLgX/v3D+RK87fv3ZwDq2qpPYAXQqJKH/cwAmvHtb5lfFKdfXM0AWlN+5qzAqk8wai8ACkAV1kR6AVAbqz7BqL0AaC2AJloB6Jp4HqiNVZ9g1F4AFIAqrIn04nmgNlZ9glF7AVAAqrAm0ovngdpY9QlG7cVVeDFAuQq/Jp4HamPVJxi1FwBVA5T7QFfE80BtrPoEo/YCoHKAshNpWTwP1MaqTzBqLwCqB+iwi6sNQHkeaA8JRu0FQAGowhpZL0E8D9TGqk8wai8ACkAV1sh6CeJ5oDZWfYJRewFQAKqwRtZLEM8DtbHqE4zaC4ACUIU1sl6CeB6ojVWfYNReABSAKqyR9RLE80BtrPoEo/YCoABUYY2slyCeB2pj1ScYtRcA1QO00n2gdYY1upM/sl6CeB6ojVWfYNReAFQO0Eo7keoMa7WXNLJegnicnY1Vn2DUXgBUDdBKe+HrDGv2NJPIegkCoDZWfYJRewHQMZ/GVGfYnARvmwL0p68Pqaw/AH0GoK6t+gTDADT5cXo5U1DiBaDtAHrCZxWEbmnnzqpPMGqvUQCa8UDSjCko8QLQZgCd8JMHKjtNMGqvcQCabM2YghIvAG0F0MOTlI9X3/eX47kP1GOCUXsBUADaO0DfT6C5hyk7kRwmGLUXAO0HoFyFn9fr6Qef7IX3mWDUXgC0I4ByH+icjg8TOYunMblMMGovANoTQNmJNKPT4+yCeB6oywSj9gKgPQFUfwZqtQ4j6yUIgNpY9QlG7bUKluRbgwDoZmtfn4G+dQhQ3sL3kGDUXgC0H4BuYm3LS+sZ1sh6CeIiko1Vn2DUXjZEAKCbrQB0TdzGZGPVJxi1FwAFoL0DlBvpO0gwai8ACkB7B+j1Vk4eqOwywai9ACgA7R6gPEzEf4JRewFQMUD7eh7oW58A5XF27hOM2guAqgHa1xPpvQK0nipPRBurPsGovQCoHKB9fScSALWdiDZWfYJRewFQOUCzTytzxk30Nl+HkfUStAGgr9mJ5DHBqL0AqBqgGz7YzBk3LQQAXZSfOSuw6hOM2guA9nMVvtZFpLcAdEV+5qzAqk8wai8A2g9AN7G25b1JGdbIegkCoDZWfYJRewFQAPoWgK7Iz5wVWPUJRu0FQAHoWwC6Ij9zVmDVJxi1FwAFoG8B6Ir8zFmBVZ9g1F4AFIC+BaAr8jNnBVZ9glF7AdB+AMpV+BQBUJcJRu0FQDsCKPeBJgiAukwwai8A2hNA2YkUFwB1mWDUXgC0K4D2tbhqA/TqOaAXAVCHCUbtBUB72srZ2eICoF6s+gSj9gKgaoBW+7BSv7gAqBerPsGovQCoHKC1PqzULy7JZ6DW8jNnBVZ9glF7AVA9QIddXADUi1WfYNReCoCmfts8AC2y6hcXAPVi1ScYtRcABaAKayK9AKiNVZ9g1F4AFIAqrIn0AqA2Vn2CUXsBUACqsCbSC4DaWPUJRu0FQAGowppIL25jsrHqE4zai6vwAFRhjayXIABqY9UnGLUXAAWgCmtkvQQBUBurPsGovQAoAFVYI+slKO0z0PcPDz/7zeHf9kj9JnHsRPmZswKrPsGovQAoAFVYI+slKAmgP3758NX5P94HllrJz5wVWPUJeuqVszUQgOoBWmkrZ6Vh/QH09cMvFv+rXH7mrMCqT9BRr6yHUwBQOUArPUyk1jNK3AF097Z9+q79PZ+BekzQT6/zZ+lJbgCqBmje8cr9NfoZfKUHAO0hQTe9JlcjU+wAVAzQzOOV/Wt0/C+V++Ovb97C//xvEkdPkp85K7DqE3TTC4DGrAVTAEAdAnSHzMkp6JsHPgP1mKCbXgA0Zi2YAgDqEaA/fnm+93P/r1yF95igm14ANGYtmAIA6hGg+7POibgP1GOCbnoB0Ji1YAoAqEuA7u+kDzI+/wSgrq1chRdYC6aAq/A+AXre1Wl7Af4gP3NWYNUn6KhXzgsHgMoByn2gK+JxdjZWfYKeemW8cACoHqDsRFoWALWx6hOM2guA6gE67OJq/Bb+Z795fmN7D+hefuaswKpPMGovAApAFdbIeglKBOjxE9A9QM0vwgNQz1Z9AgCqB2il99r6xdUKoKcrSDuAvuY2JqcJRu0FQOUArXW1R7+4GgH0j79+ePj53/z45f4OptfmV+L9zFmBVZ9g1F4AVA3QrPuNck5WK1129AfQ9w/754EeAbp/E/9V9E/kqPJEtLHqE4zaC4D2dCN91slqpRvf/AH0+PiQE0B3p6M8TMRhglF7fY4ATf9a0ErTNVUOQPNujk9eBop77iPrJSjxaUz7c84TQHenoDzOzmGCUXt9hgCNf6+yydmqPUCzTlbfJi+DzGHdAfT0PNAAUJ4H6jLBqL0+S4Cmh60zXVMB0DUBUBurPsGovQDoqrfOdE0FQNe04S08D1R2mWDUXgB01VtnuqYCoGtKvIi0P+c8AXR3PsoDlR0mGLUXAF311pmuqQDomlJvY/pFAOj+nlDbO+krT0Qbqz7BqL0A6Kq3znRdKYNeefz8XK7Cn+6ePwB0/2hl4+3wlSeijVWfYNReAHTVW2e6rpVBryx+fjb3gYatnEdZPxK08kS0seoTjNoLgK5660zXjTLolcPPjGVQBT42FKwAACAASURBVMvtAHp4416JnwDUs1WfAICueutM140q4as9FTOskUMQlPw4uxNCeSK91wSj9gKgq94603WtSm+gBe/LM6yRQxDEA5VtrPoEo/YCoKveOtN1pUqXcBRXhjKskUMQBEBtrPoEo/YCoKveOtM1VaWbiCT3JmVYI4cgKG0n0tU3cVrfSP93S1r5X+6s+gSj9vriCwtrApOSvXLr82pRi+maakK6FHvqoa00rJk1cgiCNgGUrZwOE4zaizPQVW+d6ZqKM9A15QP0p68BqMcEo/YCoKveOtM1FQBdUwSgbx7mxF54hwlG7QVAV711pmsqALqmCECv7qA/iyfSO0wwai8AuuqtM11XygIdV+Gv9b46PwGoZ6s+AQBd9daZrmvlgI77QO91cxHJWn7mrMCqTzBqLwC66q0zXTfKAF3Ooa00LABVzVmBVZ9g1F4AdNVbZ7puNeriagPQyvIzZwVWfYKeeuWcegDQVW+d6bpVnUOrX94agP70T7iNyV+CjnplffgFQFe9dabrVnUOrX55NwPo9bUk7gN1mKCfXnmXXwHoqrfOdN2qzqHVL+9WAH39AEC9J+imV+YNgAB01Vtnum5V59Dql3cjgP745TVA+UoPhwm66QVAS60AtIE1cgiCEr9Ubv+dSG8OXyb32pqfANSzFYA6tLYHaJ1NS/rl3Qagf/z1YfPm6fvg31g/VNnPnBVY9Qm66QVAS60AtIE1cgiC0u4DnX4v/A6nvIV3mKCbXgC01ApAG1gjhyAoEaDfXP5xeitvJz9zVmDVJ+inF1fhC61uAcpV+FmdyLk79Tzsgv/xS57G5DBBR72yXmQAdNVbZ7o2W7MOrX55NwXo8+vjqeePX3Ibk8MEPfXKeZEB0FVvnenabs05tPrl3ewi0uHU883xQaDvuQ/UY4JRewHQVW+d6SqwdrW4Gt3GdLrw/v7hcBXpDQ9U9phg1F4AdNVbZ7oKrF0trkYA/fHLAzp3/9ih8/0DF5E8Jhi1FwBd9daZrgJrV4urEUAPWzm/uuzo5DYmhwlG7QVAV711pqvA2tXiagXQP/76QM3TF3zYnoACUM9WfQIAuuqtM10F1q4WVyuAPj+/Pz5T+XQqaio/c1Zg1ScYtRcAXfXWma4Ca1eLqx1AK8rPnBVY9QlG7QVAV711pqvA2tXiAqBerPoEo/YCoKveOtNVYO1qcQFQL1Z9glF7AdBVb53pKrB2tbiaAZQn0rtPMGovALrqrTNdBdauFlcjgO4vwgNQ5wlG7QVAV711pqvA2tXiagTQNw8A1H2CUXsB0FVvnekqsHa1uNoAdH8Canzv51R+5qzAqk8wai8AuuqtM10F1q4WVxuA/vS18e73a/mZswKrPsGovQDoqrfOdBVYu1pczQBqffP8VH7mrMCqTzBqLwC66q0zXQXWrhZXs7fwANR9gp568TzQIqtngPI80BlZf4nHtfzMWYFVn6CjXjyRvszqGKA8kX5O4ZH0deRnzgqs+gT99OI7kQqtfgHKdyLN68cvK76J9zNnBVZ9gm56jfWtnDFtGzU9bJ3p2mjlWzmXtCMo94H6TtBNLwBaGgCANrBGDkEQO5FsrPoE3fQCoKUBAGgDa+QQBLETycaqT9BNLwBaGgCANrBGDkEQO5FsrPoE3fQCoKUBAGgDa+QQBCXeSM9tTO4T9NMr70XmHKAKq1uAchV+VuxE6iFBR72yXmQAdNVbZ7o2W7MOrX55N3sLD0DdJ+ipV86LDICueutM13ZrzqHVL+9mF5F4mIj7BKP2AqCr3jrTVWDtanG1u42JnUjeE4zaC4CueutMV4G1q8XVCKB1H2jnZ84KrPoEo/YCoKveOtNVYO1qcTW7iMR9oO4TjNoLgK5660xXgbWrxQVAvVj1CUbtBUBXvXWmq8Da1eICoF6s+gSj9rICqOSWdwBq5e0ZoJXlZ84KrPoEo/YCoKveOtPVxqpfXADUi1WfYNRelV67BW/3AaiRVb+4AKgXqz7BqL0A6Kq3YA7kVv3iAqBerPoEo/YCoKvegjmQW/WLqzZA95ePvuEiUhcJRu0FQFe9BXMgt+oXFwD1YtUnGLUXAF31FsyB3KpfXADUi1WfYNReAHTVWzAHcqt+cfEZqBerPsGovQDoqrdgDuRW/eICoF6s+gSj9gKgq96COZBb9YsLgHqx6hOM2guArnoL5kBu1S+uNgD96euf/Wbyn6+Nn8zkZ84KrPoEo/YCoKvegjmQW10/vD5yCII2AZSLSA4TjNoLgK56C+ZAbfX99UmRQxCUD9CfvgagHhOM2guArnrfJm/xL5muGlbnX+AZOQRBEYDefiP8UbyFd5hg1F4ANOLdTFAtQCc8SbF3CtC7W0APsv2KOT9zVmDVJxi1FwC1GrZgugDokmJv4d9X5ycA9WytM2zO1QMAajVswXQB0CVtuIhkLT9zVmDVJ+ioV9bVAwBqNWzBdAHQJQFQG6s+QT+98q4eAFCrYQumC4AuiRvpbaz6BN30ynzlAFCrYQumi6vwS8oD6I9fWl+Cfwagrq0A9F4A1Maa9UlO5wD96es9N/f8fHiwfj/vZ84KrPoE3fQCoKXWQQD62exEOlyL/5O/eP7jr4/L3vY+egDq2QpA7wVAjawZAG3P2sghCEoC6P7Mc3feufvHjp1vuA/UZYJuegHQUusgAM1YBIJ3+5FDEJQE0B0zf3H8xx6drw//YafKE9HGqk/QTy+uwhdaxwBoxjJQXG+KHIKgFIDu3rrvPwHd/ePw8ed79sJ7TNBRr6zzCQBqNWzBdGlvY5Lc8RQ5BEFp94E+fPN8eYoIAHWZoKdeOZ9oAVCrYQumC4AuKQOg749v5AGozwSj9gKgVsMWTBcAXVIGQF8/HP7x/IanMXlMMGovAGo1bMF0AdAlJX4G+tXlI9AdTrmI5DDBqL0AqNWwBdMFQJeUdBX+9R6db46bkPa3NH2TOHiaKk9EG6s+wai9AKjVsAXTpQVo71fhTzuQDuDcvY+33sxZeSLaWPUJRu0FQK2GLZguMUB7vw/09GD6PTjfmG9EAqCerfoEANRq2ILpEt8H2vtOpONzlU+X4G3fvz8DUNdWfQIAajVswXSpdyIJ1mHkEATxODsbqz7BqL0AqNWwBdNVx9r+tDLDGjkEQQDUxqpPMGovAGo1bMF0VToI8sUFQL1Y9QlG7QVArYYtmC4AuqQNAH3NTiSPCUbtNQ5Ak79/GIA6sEYOQdA6QGdvmgegLhOM2ksBUDPUAdBVyRdXO4C+vzwFFIC6TDBqLwAaGTbZWjBdAHRJANTGqk8waq/2AM2wAtASq35xAVAvVn2CUXsB0MiwydY6U1Bg1S8uAOrFqk8waq9xAGpmBaANrJFDEARAbaz6BKP2AqBWw9aZggKrfnEBUC9WfYJRewFQq2HrTEGBVb+4AKgXqz7BqL0AqNWwdaagwKpfXADUi1WfYNReANRq2DpTUGDVLy4A6sWqTzBqLwBqNWydKSiwjv8wEQDaT4JRewFQq2HrTMF262fwODsA2k+CUXsBUKth60zBZqviezoyrJFDEBQF6JwAqMMEo/YCoFbD1pmCrVbJN8VlWCOHIAiA2lj1CUbtBUCthq0zBVutANRKfuaswKpPMGovAGo1bJ0p2Gr9LADaRH7mrMCqTzBqLwBqNWydKdhqBaBW8jNnBVZ9glF7AVCrYetMwVYrALWSnzkrsOoTjNoLgFoNW2cKNls/h6vwTeRnzgqs+gSj9gKgVsPWmYLt1s/gPtAm8jNnBVZ9glF7AVCrYetMQYE1g58AdFl+5qzAqk8wai8AajVsnSkosOoXFwD1YtUnGLUXALUats4UFFj1iwuAerHqE4zaC4BaDVtnCgqs+sUFQL1Y9QlG7QVArYatMwUFVv3iAqBerPoEPfXKuXoAQK2GrTMFBdZKKwaAmk5EG6s+QUe9su5fAaBWw9aZggJrpRUDQE0noo1Vn6CfXnl3UANQq2HrTEGBtdKKAaCmE9HGqk/QTa/MPXwA1GrYOlNQYK20YgCo6US0seoTdNMLgJZaAajFqBFr5BAEAVAbqz5BN70AaKkVgFqMGrFGDkEQALWx6hN00wuAlloBqMWoEWvkEAQZAPTpxU7frfzw0w8vjvrVH+b+fOWJaGPVJ+imFwAttQJQi1Ej1sghCCoH6OMRjr/868UffvwegPZq5So8AK1m5Sr8Tu9evHj1/Pzh5RUdr3/44eU8OU+qPBFtrPoEHfXiPtAy62cH0IHvA92dXb7a/3MHy98u/fDp7g3+lSpPRBurPkFPvTJeDQDUbNg6U1BgrbRiugLoU3jv/jih5M0P3x1xuqTKE9HGqk8wai8AajVsnSkosOoXlx6gj+Gt+7vJp6A3P3z89ndrQ/iZswKrPsGovQCo1bB1pqDAql9ccoB++iGceD69OGPy5ocfv//l//h+5kJ9kJ85K7DqE4za67MEaFRbhq0zBQVW/eLyANDT2/MPL6cAnf7ww8sXdxfqX0xUlgANrujp2Car0bBxfG2zRrVl2Nzw1a0jqBCg4XLRFUBvfvh0un/pcXKhHoCiRAFQAOpYhgA9X4a/+WH4dHR3YvrbmSF4C+/Zqk/AW3izt/DJg1aarTvJF5f8LXzKGehZj/Mfg/qZswKrPsGovQCoFUAzRq0zWyXeQQGa8hnoWe/mtyL5mbMCqz7BqL30r91RrsK7u94EQK8uuJ+vEc3+8BmA9mjVJ9C/dgGog4MwKECnt3xe6Dj7QwDao1WfQP/aBaAODsKoAI3vRLq8oX+c35HkZ84KrPoEo/bSv3YBqIODMCpAE/bChxPPj9/P70jyM2cFVn2CUXvpX7sA1MFBGBWgCU9j2v1jf3J6+WT0Rn7mrMCqTzBqL/1rF4DqD8KwDxO5fvTnDpJHjl49D/TpdMf8wl7OyhPRxqpPMGov+WsXgOoPwriPs3u+evj8GaDXj6k/PpJ+9i76ZwDq2lpnWB5nV2T97AA68gOVy1V5ItpY9Qk66sUDlcusnxtAx/5Kj2JVnog2Vn2CfnoN9ZUedbYMRV4yAHRNANR0ItpY9Qm66TXWl8oB0O1WAGqiyhPRxqpP0E2vkQCaYQWgm70AdFWVJ6KNVZ+gm14AdFYAdFEAdFWVJ6KNVZ+gm14AdFYAdFlchV9T5YloY9Un6KYXAJ0VAF3R0PeBlqryRLSx6hP002ugq/AZVgBa4s3gJwC1nYg2Vn2CjnqNcx9ohhWAFnmbvxIihyAIgNpY9Ql66pVzPqF/7QJQBwcBgC7Kz5wVWPUJRu2lf+0CUP1B4C38sipPRBurPsGoveSvXQCqPwhcRFpR5YloY9UnGLWX+rULQM2mYLOX25jWVHki2lj1CUbtBUCLvCMAlBvpV1V5ItpY9QlG7QVAi7wAdKM1cgiCAKiNVZ9g1F4AtMgLQDdaI4cgCIDaWPUJRu0FQIu8AHSjNXIIggCojVWfYNReALTIC0A3WiOHIAiA2lj1CUbtBUCLvCMAlKvwq6o8EW2s+gSj9gKgRd4hAMp9oGuqPBFtrPoEo/ZSv3YBqNkUFHjZibSsyhPRxqpPMGov+WsXgHo4CM3XYeQQBAFQG6s+wai99K9dAKo/CJyBLqvyRLSx6hOM2kv+2gWg+oPAZ6ArqjwRbaz6BD314nF29wKgy+Iq/JoqT0Qbqz5BR714oPKMAOiiuA90VZUnoo1Vn6CfXnylx5wA6KIA6KoqT0Qbqz5BN70yXw4AtMgLQDdaI4cgCIDaWPUJuukFQGcFQBcFQFdVeSLaWPUJuulV7+UAQK2sdaZgqxeArqryRLSx6hN00wuAzgqALour8GuqPBFtrPoE3fQCoLMCoCviPtAVVZ6INlZ9gn56VTufAKBW1jpTUODN4CcAtZ2INlZ9go561TqfAKBW1jpTUOJt/kqIHIIgAGpj1SfoqVel8wkAamWtMwUlXgC6KD9zVmDVJ6AXADWz1pmCEi8AXZSfOSuw6hPQC4CaWetMQYkXgC7Kz5wVWPUJ6AVAzax1pqDEC0AX5WfOCqz6BPT6TAEa05YEdaagxAtAF+Vnzgqs+gT0AqAA1M6aSC8AamPVJ6AXAAWgdtZEegFQG6s+Ab0AKAC1sybSC4DaWPUJ6AVAAaidNZFeANTGqk9Ar88UoDWsdaagxAtAF+Vnzgqs+gT0AqBm1jpTUOIFoIvyM2cFVn0CegFQM2udKSjw8jCRZVWeiDZWfQJ6AVAza50p2O7lcXYrqjwRbaz6BPQCoGbWOlOw2csDlddUeSLaWPUJ6AVAzax1pmCrl6/0WFXliWhj1SegFwA1s0bvjjKZLQBqosoT0caqT0AvAGpo3UxQANpalSeijVWfgF4AVGEtmC0AaqLKE9HGqk9AL+8ANdsyBEBXBUBNJ6KNVZ+AXgBUYS2YLa7Cm6jyRLSx6hPQyzdAM6wA9FbcB7qiyhPRxqpPQC8AqrAWTAE7kUxUeSLaWPUJ6AVAFdaCKcjxNl9ckUMQBEBtrPoE9AKgCmvBFABQE/mZswKrPgG9AKjCWjAFANREfuaswKpPQC8AqrAWTAEANZGfOSuw6hPQC4AqrAVTUOciktH1psghCAKgNlZ9AnoBUIW1YAqq3MZkdcdT5BAEAVAbqz4BvQCowlowBTVupDe75z5yCIIAqI1Vn4BeAFRhLZiCCls57XZ9Rg5BEAC1seoT0AuAKqzxParF0wVAV7WlnTurPgG9AKjGWv3RdwB0VVvaubPqE9ALgHq0GrzdB6Cr2tLOnVWfgF4A1KMVgNbWlnburPoE9AKgHq0WF5y4Cr+mLe3cWfUJ6AVAPVpNrthzH+iKtrRzZ9UnoBcA9Wi1ueUpA4oZVgDqxqpPQC8A6tHa+gzUanFFWgUBUBurPgG9AKhHa+PPQN8CUOOJaGPVJ6AXAPVobXsVfi8AajoRbaz6BPQCoB6tALS2Kk9EG6s+Ab0AqEcrAK2tyhPRxqpPQC8AGrOafbEyAA0CoDZWfQJ6AdCYFYCmWyOtggCojVWfgF4ANGbtFKB7gn7xBVfhF1R5ItpY9QnoBUBj1l4B+vYE0DQzADWdiDZWfQJ6AdCYtVuAvj0ANNELQE0noo1Vn4BeANSj1ejp9RlWAGo6EW2s+gT0AqAerQC0tipPRBurPgG9AKhHKwCtrcoT0caqT0AvAOrRCkBrq/JEtLHqE9ALgHq0AtDaqjwRbaz6BPQCoB6tALS2Kk9EG6s+Ab0AqEcrAK2tyhPRxqpPQC8A6tEKQGur8kS0seoT0AuAerQC0NqqPBFtrPoE9BoIoJI9QwD0+n8lCYDaWPUJ6AVAZyS3AtDaqjwRbaz6BPQaBqA5VgB6JwBqOhFtrPoE9AKgMwKgG62RVkEA1MaqT0AvADojALrRGmkVBEBtrPoE9AKgMwKgG62RVkEA1MaqT0AvADojALrRGmkVBEBtrPoE9AKgMwKgG62RVkEA1MaqT0AvADojALrRGmkVBEBtrPoE9AKgMwKgG62RVkEA1MaqT0AvADojALrRGmkVBEBtrPoE9AKgMwKgG62RVkEA1MaqT0AvADojVwBN36FaMl0A1HQi2lj1CegFQGfkCaA5e/wLpguAmk5EG6s+Ab0A6Ix8ATTZWjJdANR0ItpY9QnoBUBnBEA3WiNRgwCojVWfgF4AdEYAdKM1EjUIgNpY9QnoBUBnBEA3WiNRgwCojVWfgF4AdEYAdKM1EjUIgNpY9QnoBUBnBEA3WiNRgwCojVWfgF4AdEYAdKM1EjUIgNpY9QnoBUBnBEA3WiNRgwCojVWfgF4AdEYAdKM1EjUIgNpY9QnoBUBnBEA3WiNRgwCojVWfgF4AdEZbqWj2vcoAtLYqT0Qbqz4BvT5TgNb5CnkAmiYHAP27Ja38L3dWfQJ6/d0XXyRbc7yurXHUTazrL8Qrq9mok2EzrCXTZbO4EunlAKCVf5O0seoT0OuzPAPN8HIGmmNNpBcAtbHqE9ALgK57AWiONZFeANTGqk9ALwC67uUqfI41EjUIgNpY9QnoBUDXvQA0xxqJGgRAbaz6BPQCoOteAJpjjUQNAqA2Vn0CegHQdS8AzbFGogYBUBurPgG9AOi6F4DmWCNRgwCojVWfgF4AdN0LQHOskahBANTGqk9ALwC67gWgOdZI1CAAamPVJ6AXAF33AtAcayRqEAC1seoT0AuArnsBaI41EjUIgNpY9QnoBUDXvQA0xxqJGgRAbaz6BPQCoOteAJpjjUQNAqA2Vn0CegHQdS8AzbFGogYBUBurPgG9AOi6F4DmWCNRgwCojVWfgF4AdN0LQHOskahBANTGqk9ALwC67gWgOdZI1CAAamPVJ6AXAF33AtAcayRqEAC1seoT0AuArnsBaI41EjUIgNpY9QnoBUDXvQA0xxqJGgRAbaz6BPQCoOteAJpjjUQNAqA2Vn0CegHQdS8AzbFGogYBUBurPgG9AOi6F4DmWCNRgwCojVWfgF4AdN0LQHOskahBANTGqk9Ar1q95FQEoAB0RZUnoo1Vn4BeAHTda/hl7wA0CIDaWPUJ6AVA172fC0BtWJtILwBqY9UnoBcANRsWgALQtlZ9AnoBULNhHQA0+Wy5ZAoAqBerPgG9AKjZsHqAZnzeUDAFANSLVZ+AXgDUbFgPAE22FkwBAPVi1SegFwA1GxaAAtC2Vn0CegFQs2EBKABta9UnoBcANRsWgALQtlZ9AnoBULNhASgAbWvVJ6AXADUbNgugydfLAWgVbWnnzqpPQC8AajYsAAWgba36BPQCoGbDAlAA2taqT0AvAGo2LAAFoG2t+gT0AqBmwwJQANrWqk9ALwBqNixX4QFoW6s+Ab0AqNmwABSAtrXqE9ALgJoNC0ABaFurPgG9AKjZsAAUgLa16hPQC4CaDQtAAWhbqz4BvQCo2bC1AJp8wR6ApmtLO3dWfQJ6AVCzYQEoAG1r1SegFwA1G9YDQJOtUe/yFABQL1Z9AnoBULNhDU8VAWhtbWnnzqpPQC8AajasKelqAzTDeisA6sWqT0AvAKpIkEHFSl8qB0Dz27mz6hPQC4B6SFDwySoA3aQt7dxZ9QnoBUA9JDADaA3rrQCoF6s+Ab0AqIcEALS1trRzZ9UnoBcA9ZAAgLbWlnburPoE9AKgHhIA0Nba0s6dVZ+AXgDUQwIA2lpb2rmz6hPQC4B6SABAW2tLO3dWfQJ6AVAPCQBoa21p586qT0AvAOohAQBtrS3t3Fn1CegFQD0kAKCttaWdO6s+Ab0AqIcEALS1trRzZ9UnoFdfvQDovQDoFm1p586qT0CvvnoB0HsB0C3a0s6dVZ+AXn31AqD3AqBbtKWdO6s+Ab366gVA7wVAt2hLO3dWfQJ69dULgN4LgG7RlnburPoE9OqrFwC9FwDdoi3t3Fn1CejVVy8Aei8AukVb2rmz6hPQq69eAPReAHSLtrRzZ9UnoFdfvQDovQDoFm1p586qT0Cvvnp9lgDN+aKjdWoA0LO2tHNn1SegV1+9ACgAtdGWdu6s+gT06qvXZwjQHC8ATdaWdu6s+gT06qsXAC08W91ivRUA9WLVJ6BXX70AKAC10ZZ27qz6BPTqqxcAdZAAgHqx6hPQq69eozKpq7AA1ItVn4BeffUalUldhQWgXqz6BPTqq9eoTOoqLAD1YtUnoFdfvUZlUldhAagXqz4BvfrqNSqTugoLQL1Y9Qno1VevUZnUVVgA6sWqT0CvvnqNyqSuwgJQL1Z9Anr11WtUJnUVFoB6seoT0KuvXqMyqauwANSLVZ+AXn31GpVJXYUFoF6s+gT06qvXqEzqKiwA9WLVJ6BXX71GZZI+rM3xSqQXALWx6hPQq69eXTGpq7AA1HQi2lj1CejVV6+umNRVWABqOhFtrPoE9OqrV1dM6iosADWdiDZWfQJ69dWrKyZ1FRaAmk5EG6s+Ab366tUVk7oKC0BNJ6KNVZ+AXn316opJXYUFoKYT0caqT0AveuV5ASgAdWPVJ6AXvfK8ABSAurHqE9CLXnleAApA3Vj1CehFrzwvAAWgbqz6BPSiV54XgAJQN1Z9AnrRy0OCUcIm0guA2lj1CehFLw8JRgmbSC8AamPVJ6AXvTwkGCVsIr0AqI1Vn4Be9PKQYJSwifQCoDZWfQJ60ctDglHCJtILgNpY9QnoRS8PCUYJm0gvAGpj1SegF708JBglbCK9AKiNVZ+AXvTykGCUsIn0AqA2Vn0CetHLQ4JRwibSC4DaWPUJ6EUvDwlGCZtILwBqY9UnoBe9PCQYJWwivQCojVWfgF708pBglLCJ9AKgNlZ9AnrRy0OCUcIm0guA2lj1CehFLw8JRgmbSC8AamPVJ6AXvTwkGCVsIr0AqI1Vn4Be9PKQYJSwifQCoDZWfQJ60ctDglHCJtLLAKBPL3b6bvWHs5YgP3NWYNUnoBe9PCQYJWwi/coB+vjioF/+9fIPZy1n+ZmzAqs+Ab3o5SHBKGET8VcM0HcvXrx6fv7w8sWv/rD0w1kLAO3Cqk9Ar2F76RPoAfrx+z0cD3j87cIPZy0T+ZmzAqs+Ab3o5SHBKGETAVgK0KfL2/TvFn44a5nIz5wVWPUJ6EUvDwlGCZsIwFKAPob35e8mH3Fe/3DWMpGfOSuw6hPQi14eEowSNhGAhQD99EM4q3x68e3vZn84a5nKz5wVWPUJ6EUvDwlGCZtIwHKAvjr+24eXU4BOfjhreTFRWQKEEFKpEKDhAtEVHa9/OGtJAmgGW+VWfQJ60ctDgmHDzssQoOdr7Nc/nLUkST5no64FejlIQC8HCVwBNOcMNEnyORt1LdDLQQJ6OUggB+jWz0CTJJ+zUdcCvRwkoJeDBB4Aer7Efr5H6fqHs5Ykyeds1LVALwcJ6OUggRyg05s8Lxs1r384a0mRfM5GXQv0cpCAXg4S6AFqsBNpUfI5G3Ut0MtBAno5SKAHqMFe+EXJ52zUtUAvBwno5SCBHqAGT2NalHzORl0L9HKQgF4OEjgA6NXDPj/9jD7dxAAAGcJJREFUcILkY8bzQBcln7NR1wK9HCSgl4MEHgA6fdz8GaA5T6RflHzORl0L9HKQgF4OErgAaDXJ52zUtUAvBwno5SDB2ABFCCHXAqAIIbRRABQhhDYKgCKE0EYBUIQQ2igAihBCGwVAEUJoowAoQghtFABFCKGNAqAIIbRRABQhhDYKgCKE0EYBUIQQ2ii/AP3w8vAQ0ZSH2Pdk1Segl4ME9HLQy0JuAfq0fwDzu91MxB9j35NVn4BeDhLQy0Gvv/9d9C+OyytAwxcoPcYfZN+TVZ+AXg4S0MtBr6ctD3m/k1eAvgvd4jPRk1WfgF4OEtBL3+vj95u+Z+hWTgH66YfwIca+5+rZeE9WfQJ6OUhALwe9dmegv/rfL4s/LvUL0Ffh3/7py9Uz7Z6s+gT0cpCAXg567RH729N5aObXBU/lFKC7M/BT+U8/fPe0/kuiJ6s+Ab0cJKCXg167t/t7cO6Yu9O3Wy8oeQXoufyHl69OTUew6hPQy0ECejnodTwF3evd4dPQVyvWZXkF6P73wr5dOM+e/1Xy8d/+IdWaMWrFANKw9HKwYujlpdf+dPUA2NOdo9suKLkD6P87/c44XSQ73mnwOP/rYef5LtF6+RNx66cf9vNaJ4B5WHpl9Kq1YujVY6/TPU8fDp+VHv7cBoJ6A+iHl+Gs+/jZxPEjjafZj4PPF9ri1rMSrHvLq2oBErzhdwi9jHtVWjH06qvXRftPTD+Ea02fftjyJt4bQHdTdvnc4vwL5N3cb5Kr3xnr1uNJ+ncp1v0BOH+ibBbgeoNZLOzkkxt62fXKXzH0GrDXDquvzv/27X+MXKuPyRtA978/7j75/fTDzEWy3ex++5++v/0fs9an01n9q7j16viaBVjYYDbvvfodsmqlV06vzBVDr3F7Xe51unB/o7wB9PBLZzoLv3+e3Jtwbfz2d5f7ZtesH14e5vFx8hHHknXm+BoEmNtgtui9/x1CL4teeSuGXsP2OthOBH0q3s3pD6C//G8vJ8fteIfB/Ye7h9m9/pR4yRpO5D9efpktWifH969+ZxZgZoPZsvfudwi9LHplrhh6DdvreULQ00WqAnkD6P6Dlw8Xgn78y8mHKxOdZnd6p9eS9Xwi/+mHMJ+L1v28vzr98zj/FgGe7zeYLXvvfofQy6JX5oqh17i99joT9F3pZnhvAD38LvnwcubTl6nOv8hO7x5WFab3dINDbIPsfsDj8V3Zn5AV4Dlng9nd75C1UemV2Ct7xdBr2F4HBYLuQm+7gT7IG0AfDwcjTtC/PM7qZepWxzxMaThq6yPvb649faTytOLNCpC1wSzxd8gzvU7mpF6bVgy9RuwV/shx3MfCU1BvAH3+z4c6KcftoMhurYPCb73DTL2L7Nna/0p6PB2Cp4T9XSkBsjaYpf4OoddBub0SV0xCr8MmmeekXkdrUq8wakqv4D1ovVdI8BkfrxudCLrrV3QK6g6gJ6USNFx/S9DpU+vH6JuMyy/GmDc1QNIGs+MGjeeU3yFn617rvc7WeK+rUSO9jt6sjXO5vxvrHK+kA5bS63L9Idrr+lLFaq+LNd7retjVXifr53y87s54TwRNybAirwBNPm4r/Z9mJ/LDy5lz9qn1cpPDrPd21LUDcPYmbDALGzQmQZdGvrMuZb2yRnrdjrq6sII33uv+xt7FXrP3AC9nvbwK472uXzgrv5hO1niv8yaZeK9762LWqTXW63bYlV5na8I6fLp9T7u8Du+si1mn1liv22HXX2BHa8oGznC36s0EP431GehF88ftas/DXssfeYRfS3cj3B+0K+vkF/uM927Ulc9cJt7oBrOZG4yXVu7svciL8Dhb13vdjbr2WdLFG+v1NHOxYKHXnHUh65U10utu2OViE2us19zW6YVeC7us57JeWSO97oZd7jWxph2vpN8Mc9aFrFfWpOM1GTZ2vA7WhA2cv398MdH+Tz2mfIQQkV+AXjapTjSz52H5F9T+U+37qX+a819ZL7+T5rx3o678hrzyrm4wm4Xi/Mqd5+ds1mvraq/7UZd7XXvXeh0+5frwL1N+M8xbZ7PeWFd7zQy7VOzGutZrfpPMbK9562zWG+tqr5lhl3rdWCPH69v/8OL2BqCl4zVjXToGU2vseN0Ou3K8ptbIBs7nEzDPJ6t3JNkkxwB9/vBndz+53/Ow8inwgbZ3BJ09wZ+3znrvrCsfQ88OO7fBbAGKc79DFqxzWZesM975E+D5XgvDzvS63kdyNfRtryXrfNaFU5I070KxpWFnes1skgkj3/Zass5kXbQmehd6LQ072+vwo6fb4zvba946m3XBmuhd7DU/7PwGztPfdxrpdMJqQFDPAL3X/Z6Hww8XXk8fXv7zq/fbj8ufGd9an9+9Oszy7IcIN9blAPfehQ1m9xs0wgB3v0NmrEu95kZd6DUbYKHXnHeh1+LTcO57zViXes2NunS8ZhPMF5uzzvea2SRz0l2vOetCr9lRF3rNJ5jtNWtdOF6nHT33tL0/XjPWpeM1N+rS8ZpNMH+85qxrGzgPEafAPFB0tDPQp/VLv7d7Ho7/tXCe9fH7X/3fCb9Ob/8Xtq1dWde8t9aVAHfepQ1mdxs0lnVvXcw6M+qSdzbAQq8Z73Kv747TEP9Vf29d6XU3ao53qdiMdb7XzCaZJc1ZF7LOjprjne81a106XuH+osf4zev31sVjMDNqjnfpeM1Y468fi489r6QH6O+n/7F+F+zCnocPL//1/5m3//KvT9dx/nZn/S+HD5HnfzvdWNe8t9aVALfe5Q1mqRs05qzLWe9HXfTOBljodedd7HU8qQtP/F7Fzb11JevdqDnepWL31vleGZtkZq3zWedHzfHO9pq1Lh6vx/P2nOjxurcuHoOZUXO8s71mrbENnMc/ZUtQMUCfrn9l7O/U+u8r9qw9D8ffTQd+xc8V6ljTvakbNDxY072Hq6y7/sebS1ZHrWOtMmzGJpk61lrD7l5Yp2sM8ddXHWutYScyJqgWoOdbs85vxGI34Wbsedg7fhs+L/6zyPTWsaZ7MzZoyK3p3sOrNny2GH13UcFaa9ijEve81LNaDxuurYSPe1ZWQR1rrWGnsiWoFKCnPQPh9uUoP4MS9zw8Hx89vXA/aAtrhjdjg4bcmu7d/8Z7F947ro9ax1pr2IMytsHVsZoPe3w/fHpHuP6kojrWWsNOZUpQKUDPj/F7t389zl/0XtH8PoYrw3fPpzf8sbVTx5rjjW7QcGRN9z6++OW/D/8/Mmoda61hT38gecXWsdYY9rhmn29vdmlnrTXs+RK1JUHFAH11/rf90f1/WfyMr/GP3+8G3Q395/EzwDrWvGFXN2i4sqZ792cJYWV//D567mFvrTXsQYlP/qlnrTHs+VUZZ1Ida61hLzNgSFApQCf3pr3b8Gz92T1FU+0vgh/uIYu/h65jzfKub4DyZU337q9qfxf+dX3UOtZawx404inou/QpqGOtNezkEnXpQ+wukgJ0+tSA5bvRFxX51ue949s/fXH6mFVjzfJe/lD670e5NerdQ+lV2qh1rLWGPflTZ6qOtcKwk/O0mL2O1WrYv//drfXC2N/fmrdKfRHpctqZ80thZU/RleZ3wze0Znmf1zZA+bOmek9vjD/OfcljE2utYffK+L1fx2o/7OnNUsoqqGM1Gvbpxe1Th/IusaRJfhvT+YhGH094+iO/Xd9TdGVNHLOWNW/Y59RicmvusI9pd+rVsVZM8Ly2C622tV6C8LiNhFVQwWo17Ol/hJ9nX6JOlPhG+serfY7zn4Leb1Va3MdwZ/34X5f+5jrWomGXN2jIrYXD7s8T5l66daztEjwvbJKpY22X4HBkZ94917FWGvbpxa/+98vJ/S+Zl6gTJQbo9NrK7NWIjK1Kcqs+Ab0cJKCXg17Pl8fTJ7ydKJB6L/y+4Imgy893fZGyVUlu1Segl4ME9HLQ66Dj3qvjhqWEm0S3SQ3QA0HDdc+7TwsztirJrfoE9HKQgF4Oel39gfDsDNunMAXJARo+cpr9kDdjq5Lcqk9ALwcJ6OWg10mn+3TCA7bM7v2cSg/Q88OVZuplbFWSW/UJ6OUgAb0c9DrpuP3/+Dj9hW+mKpYHgB4ROneGnbFVSW7VJ6CXgwT0kvd6Ohv3j788fx1JzlaWdPkA6JIytirJrfoE9HKQgF7qXperKrs/8u1/nPlaMUv5BmjGViW5VZ+AXg4S0Evf6/q746ry0zlAn5/StyrJrfoE9HKQgF76Xo+TW53q8tMrQMO9CilblR5fnJ/tH7E+BUPcmhPg/OYiY18VvWx7ZRWj17i9zgEOBL06a60inwA93jK7P2yJW5X20xS1XgyJoyYFOHnDPbsJw+5XA71Me+WvGHoN2OuiQNCMB9Vvk0uAPu3bf/iXh80D8a1K3wVPxHq82H80xEdNDbD3fvsfTh+1ZOyropdhr8wVQ68xe011IujuT9S5gT7II0A//TD9fCNlq9LpltlV6/Np4VyO8KI1I8Dz6UnYx6+7y9lXRS+zXnkrhl6D9rrWiaB2j06el0eA3vxyWd+qdJzO07der1kPrn9+9S5jyZoRIHwWE5ZE+r4qepn1ylsx9Bq0183mziNBcx5OvUUeAXqas8PegUP7xa1K599k539Z3tV0GPFX//fyMcraBqjUAJffhI/hcQXp+6roZdQrpxi9Ru11/mAiUPRI0JzvR9kgjwA9/n4KO1gP9Re2Kl3eCjxOF8XS75z9NxSdPoj+25VRMwKc/+LjWlj3zmyloJdFr5xi9Bq11+8fX0y0dx4I+rQQ1kgeAXr4nsfdgdhP8uP6M1cew3uBtK+weTye/b/47bvVUTMC7I5muMfj6rffnDJ2XdDr6ErrlVOMXsP2OgLzhNqguvj0CdDdzL46f0zytHqEn5I/Uz7o3d716fCAwD9bORIZAU6jnd5SPK0esIxdF/Q6KLFXTjF6DdvrcvPS+U/VJ6hHgB4uub0Ln3msf4bxV0fX+b3G+rftHR8zML2drDjA6TfeaRWu33aWseuCXseB03rlFEvq9fHf/uE5sdfRmtTraH1O6hUSJPQ6Wj/r4xV09YXvB4p+jmegh1+L/z7M1OF0P6ZwgNf3J+zG+u759DH0+hHODHAc9/l808VMvuTtPydr+I+1XmdrvNc5QEKvS4Jor5PSt4ic/wrb45V5wGK9wjlaQq/rvS6rvS7WeK9LgmivSYLP9XhNx62OzGv5BOjH7y8P4f/4/dz0Pl0fodPE7g7dv5q5Ojf5dbtDw8705wu/I8/WeICrBOfrmgsHeP+78PZ388JWimCN95pYY73O1oRe0wSRXp/Cdrx4r7M13mtiTer1q3D+tV5smiDSaz9YYq+zNd5rYo32OnvjvaYJYuswfPqZsA6frs71VtfhxRrtdfYmvcDOP471mqg1QT0B9HhV7rvwr+ff1qu7xo46Tuy7ucmbWveXCQ8fm8+/y5j8NBbgeoR3Ue/puEe3Uny6/ubZlV5Ta6TXxBrtdZVgvddlO17KzpMXLybNVnpNrbFeE2+s2FWC9V4fL8/ejfWaWGO9ptZYr4k31usqQcrxOnM5frwuY0SP19GadrwO3rTjdfofkdfXlRoT1BFAw31ch/r7+Q0fX8/Nx2XX2EGHX2LznLmyPn77p8f/mH+66sQaC3A17PlDpVnvFEmRrRQ3/FzrdWVd7zW1xnpdDbvaa7odL9Lryrre69q63uvKu17setjVXrsq3/6n779N6XVlXe91bV3vdeVd73U9bOx4nfdExo/Xxbre69oaPV4Xb/R4TYZdf33dqC1B/QD0tNnh8focf/ePhXcYVwTdf4yywM8r6w1316yRAFfe0y/c+W0X11Bc3aFxy8+VXtfW1V7X1vVe92GXen262o632uvGutbrxhrrdf0uZLnYTNilXnsk/e7iX+t1Y13rdWNd7XXjXes1E3a513RPZKTXlXW915U10uvKu97rLuzi6+tOTQnqB6Dvwh2zl4tzN+8jppruGjv+qT9dmrapNXLN8XrU1QDX3nDz2cyHORMk/dV5kSVal3vdWNd63Y260uvWu9Lr7q3fcq/7d4mLvW6sq8frbtjlYrfW5V4HJN3ebJ5qXex1a13rdT/sYq8768rxutkTmbBjbfKrYfF43VhXj9fdsMvH69a60mtGLQnqBqCffrh87HX+0fL3OV/vGlu9Y+HK+vG/roWYGXXxQ+sb7+OLhQThF/e7ywpY2nVxb13sdWtd6TU/6nyve+9Kr5vteGu9bq0rva6ta8drftjZYvfWhV4nJD1f3Qk+32vOutDr3rrca2nYmV5z1sXjdbcncm33z6118XjdWteO1/yws8fr3rrYa/5vakZQRwA9/w5bOe2b2K93ja1M2a01Y1QT7/F9yOn3/TKQ562LvYpGtfDObMfLsC71yhi1MMGszmfgpw+UVjRvne2VMWp5giXN7InMsC4dr4xRCxNkqfYzmC5yA9Cwayy8dmOTdrNr7MPL5V85qRvM8qzp3v2NwsdvWL19YEzcutyrZFQLb8Z2vBnrUq+c3aZlCeb16S/Pd47HzmFmrfO9MkYtTrCkjD2RM9al45Wz07IsQZ7Wb/g3lB+AhnOf8CY3siRSd41Vs6Z7d79HX4X3JJHNaHJruvdT1na8CtZawx6V8Bu0rtV62E/peyLrWGsNq5UfgJ50unoSfQhV8q6xWtYM79Pkl2ikmNya7s3YjlfHWmvYg05n4SmqYzUfNmNPZB1rrWGlcgfQk6Lbu9J3jVWy5ngnnyDFismt6d6M7Xh1rLWGPf2B5BPAOtYaw6bviaxkrTWsTN0CNL5rrLI1b9jJduX1YnJrujdlX2hVa61hD0p6o1/TWmPYjD2Rday1hpXJK0AjX7oX3zVW3ZrlvTzVNVpMbk33xveFVrbWGvagEU9BM/ZE1rHWGlYmrwCN79mK7Mqsb83yXv5Q+gficmvUG93vWttaa9iTP3Wm6lgrDJuxJ7KOtdawMvkD6ON+shJ+oUZ2Zda3Znn39lfJm9Hk1lRvbL9rdWutYfeKPK29vtV+2Iw9kXWstYaVyR1Anyb3L6wqsiuzvjXLm1HMgTXDu77ftYG11rAzTyZoba0wbMaeyDrWWsOq5A6g/+WwyBOe8RrZldnAmuXNKKa35nhX97u2sNYadv+++F//H6m1xrAZeyLrWGsNq5E7gCKEUC8CoAghtFEAFCGENgqAIoTQRgFQhBDaKACKEEIbBUARQmijAChCCG0UAEUIoY0CoAghtFEAFCGENgqAIoTQRgFQpNOPXz7s9Yu8P/XT1w8//5vn5z/++uFP/uL4g39x+Mebh6n2FoQqC4AilSbAy0LoLUBfP3x1O94WLiOULwCKNNrxb+P54g1A3z8sAPT0Y4TqCYAiiQ78/Nlv9v+6A2LW6eIJoEFTgH41/Wl4h49QNQFQJNHr6RninnbfJP/RJIAesMwpKKosAIoU2l8+muDtTc6b+DSA7v+TT0FRZQFQpNDra2LumHh4O/9699P35/f27w+fZH4zde2hePUZ6PvT553f3AH0/QWgrw+W46CnP/fm+pPXw9B/8hcTNt/+5QjNCIAigfafgM6xaQfQ/xlYd7rH6fJR5uki0c//VxpAXweAXi4uHeC4/3P/7svLH5ta/lEA6N1fjtCcACgSaMenWTK9fvgHX57uQDojLEDszMF/mATQ84cE04vz+x9cXf6fnupOIHv3lyM0KwCKBHq/8Jnn6/P76j3mDnR7f7pEv3+Tvf9f7wPl5m5jugD0TWDf+WJSGOAI0G9Onq9O/2fvnQ59/ZcjNC8AigRaAejp5xfH6fPR83Wm/dlh2n2g35wGOiHwdNq7p+PptPJ0nelu6Lu/HKF5AVAk0PuFE7vX55PI1xdwHQi5w174wZtEgN5+yLqDYQDo6S/ZAXM/0uvpZ6HHH1z/5QgtCIAigVbOQI8om96qtMPcLwL9Tv+dANBbfB7euZ8AGvB4HOlu6Lu/HKEFAVAk0ImBdzqf+h1uK5pe2ZlAbWUr54WkU35erhEtAfR66Lu/3H4C0CACoEigpY8WzwCdXAY/MmyC3ChAD3/6fN44HWoWoHdD3/3lNaYADSEAigS6uw/09KHoFKDX3Mo5Az2ec351dp/YefkMNHIGunR+jNCtAChS6Hbv5unq0fQt/PUNmGmfgZ6v91zexb85X3NfAejdZ6Dc/YmSBECRQjd74d+fKPd6st/y+hR18oOVq/BfTe2H/zvB5fuFt/B3Qy/tk0LoVgAUSfTmYYK78zvu19N7lcJZ4JGQ53PWyQ3xKzfSh49BL7gMt8vfAfR+6Lu/HKF5AVAk0WU/0PFTyiPBLgA9/PCb488OPwz8O1zhuQHo8Q9fb+UMb+Jfn2B4uMlpP9A9QO+GvvvLEZoXAEUaXd8rdDrhu76D/ayvrn7wj64vIh2vmd/thQ9v4qfjLAD0fi/83V+O0KwAKFLp9QVSl+fOXc73LjcTnRB2otr105jCuexXd09jCm/iz3/NPz5+tDkD0JWnMcFPtCYAinR6c43Pa4CG/335vwdU/uL2Nqbw41uAnt/EH2H4VbhXag6g4Xmgk31Ht385QjMCoAidxcZNlCcAij57XR4m8pq37ChLABR99jpfaueaO8oUAEWfvaZ73zkBRTkCoAi9h59omwAoQuFeJy4goUwBUIQQ2igAihBCGwVAEUJoowAoQghtFABFCKGNAqAIIbRRABQhhDYKgCKE0EYBUIQQ2igAihBCGwVAEUJoowAoQghtFABFCKGNAqAIIbRRABQhhDYKgCKE0EYBUIQQ2igAihBCGwVAEUJoowAoQghtFABFCKGNAqAIIbRR/x+ikuEMUmULIwAAAABJRU5ErkJggg==" title alt width="672" /></p>
+<p>Higher credit score, lower estimated loss. Estimated loss’ means drops with the increase in credit range. The same phenomenon can be observed in the effect of Prosper Score on Estimated loss</p>
+<p><img 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" 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" title alt width="672" /></p>
+<p>Clearly, mean estimated loss goes down with the increase in Prosper Rating and Credit Range, which shows a strong negative linear relationship.</p>
+</div>
+<div id="prosper-score-1" class="section level2">
+<h2>Prosper Score</h2>
+<p>The Prosper score estimates the probability of a loan going “bad,” where “bad” is the probability of going 60+ days past due within the first twelve months from the date of loan origination. Applicants from April, 2008 through April, 2011 were used to build the discrete additive scorecard. The scorecard was verified and results validated on an independent validation sample of loans booked during the same time period as well as a more recent sample of loans booked outside of the loan development period.</p>
+<p>Key variables in the scorecard are: - Number of inquiries on the credit bureau: InquiriesLast6Months - Number of delinquent accounts on the credit bureau: CurrentDelinquencies - Credit card utilization on the credit bureau: BankcardUtilization - Number of recently opened trades on the credit bureau: TradesOpenedLast6Months - Debt to income ratio: DebtToIncomeRatio - Loan payment performance on prior Prosper loans</p>
+<p><img 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" 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" 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" 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" title alt width="672" /></p>
+<p>Trying to build a sub dataset from April 2008 to April 2011 and graphing the key variables in scorecard against the Prosper Score, I can see that Prosper Score has negative relationship with inquiries last 6 month, current delinquencies, bankcard utilization and debt to income ratio… However, this relationship is not clear and hard to quantify.</p>
+</div>
+<div id="ii.-what-affect-the-loan-interest-rates" class="section level2">
+<h2>II. What affect the loan interest rates</h2>
+<div id="prosper-rating-and-credit-grade-on-borrower-rate" class="section level3">
+<h3>Prosper rating and Credit Grade on Borrower Rate</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Clearly, Borrower Rate decreases when Prosper Rating increases. Before July 2009, Prosper used Credit Grade to calculate Borrower Rate. I’ll use graph Borrower Rate on Credit Grade for loan from 2005 to 2009</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Although the same range of Borrower rate is assigned to the same level of credit grade and prosper rating, the fundamental difference is the way credit grade and prosper rating determined. Credit Grade is based only on credit bureau score (AA: 760+, HR: 520-559) Prosper Rating takes in various credit information of borrowers including prior prosper loans performance</p>
+</div>
+<div id="estimated-loss-on-borrower-rate" class="section level3">
+<h3>Estimated Loss on Borrower Rate</h3>
+<p><img src="data:image/png;base64,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" 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" title alt width="672" /></p>
+<pre><code>## [1] 0.945297</code></pre>
+<p>When estimated loss increases, borrower rate also increases and the borrower rate becomes more disperse. The correlation between estimated loss and borrower rate is high 94.5%, showing a strong and positive correlation</p>
+</div>
+<div id="estimated-loss-on-borrower-rate-color-by-prosper-rating" class="section level3">
+<h3>Estimated Loss on Borrower Rate color by Prosper Rating</h3>
+<p><img 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blFPH/K34EmUqXkAgsIVAMIVIz6YiJ0P7zCLWL6EwI9FRCoBhComEICtfdn3yKuPiHQcwGBagCBitEXKL078xbx/QmBngoIVAMIVEyRYUzqAk3wZ55Ayc102iolF1hAoAq8GNjlTMV74Y8vUM/+nIcusHYdgfYwJl/yKiUXWECg2byY2eFcEOjEngKd9clscysPpPemr1JygQUEmsuLFzsatPhMpCMINNB8LyDQe8OfLIOyP+lhZyR3+nNUKbnAAgLN5MWLPQ1afi78zv5Mv0VhffpegYpfU2/9yTGotAZK7gzkqFJygQUEmseLF7saFKsxxfypKdD37219XhXmrzxSEUGgnQOB5tGkQDPWA229CR/1J72cnWSgxHvKn6TKths1F1QO5ahScoEFBJrFC5vC5zv7ivRxf6oJ1PBnRH7WRgj0TECgWUCguewj0PROpGD1c+MyeyMEeiYg0Cwg0FySImL4078ifdJlRaqfhsycjRDomYBAs4BAc9lPoEkGjVU/IVBwAwLNAgLNRV2gKp/04PjTpzjVbyIFMlQpucACAs2j0V54MV0LlGtQnj4hUACB5gKBZqIvUN8nPYICNfXE9aeyQDET6YhAoJns6s+zC5RbBQ3sItkYiqtPdYFiLvwBgUBz2dOfOwS0sz+bEKjpKHb10yvFjOXsyB2+1FVKLrCAQLPZ0Z+nr4Ey++HTBGoqLVefdi980KC+a2FthECbAAJVYC99nk+grvX0BUr5M1JzLCfQBKqUXGABgWrQ0Ir0mTQlUNJ7DH9KBWosnCz3p3w5u0SqlFxgAYFqAIGKCUTkE59coNRZXH9esvyZ9134BKqUXGABgWqQF1HC0klEQOKFl0i4AlWTq/8WBdUX9KdIoJvvdmT4M0+gCWKtUnKBBQSqQU5ESYt3OgHlLP1JwROoYv2UuEWj6/zui9U/RQJde9+NjQJ9Zn1ULqRWhyolF1hAoBpkRJS2fLwdUNbi8xQsgWq28J1bFHNfUJ++D3oEDLr153vP6M6t9IImVB4H6qVKyQUWEKgG8ogSP2BkBZT1+SMSjkBV35HatyjmvrA/hQLdDP6cN+4u0JBbCaqUXGABgWogjij1E5rbgPI+wEnCEKhuL5N1i8Rq3CRLEai9ct28UUegCS9Bg3IlqFJygQUEqgEEKmYbkdiMCQK19WQNnp82QqCAAwSqgTSilzaxDJuAknMziAuU9ZaUj7ZAg73wb4l+mnvKn37xkXv9EQX9GV8PNESVkgssIFANIFAxm4jEYmQL1BGUNXdzvRYIFDCAQDWAQMVwBRrbzxOoYyh77rtxMUHlBVQHgZ4JCFQDCFTMEhHDi8oCJZdeMq9t2kBKzW86CPRMQKAaQKBipog4WlQXKLn00nJl65aw8DwRWakg0D6BQDU4k0A9vfBSl44R8fypLFB66br5wjabSKN5NAeBngkIVIM6Am1oGJO8OnqLiOnP/GFMhD6dpT/HMyW5zI1oBgLtHAhUg1MJlJiJlNGgHyLy23CrT02B+lf+vB0hUWZ2RAsQaOdAoBqcqgnv+jKaIUBIoERylj/jAg2t/Hk7AgQKWECgGpxMoFaLnZPDy1PQn65HWQaNCdRcuo4UV7LNthGtQKCdA4FqUGcqZz2BbvuMCglUtiJ9OM3Wn7e0ECjIAALVoB+BCmzIdS6NT6AX6Yr0oRQbfd4HZhWpCTThm0ipZ6xScoEFBKpBneXsuhXouIfYtBI2qHfXe3Pw0nQoCBTIgUA1qLSgcgF/tiNQUqorEoFeNksvLYcivLWLQO2MiSesUnKBBQSqQaVPepSvgHJsmC1Q2pVigXoNetksvWQci/CW3J9sgbo5005YpeQCCwWBfnx95Y/WxnfXbb//uy9LyvOYwxEEmvNRueJdSJxOpDICpfS3IVmgF3PpkO2xXG9pCTShAkpeR4D8kgvyyRfooErblv/687jxe0+elOcxh2MINIGi30Qi9MkZxsTIYm02hejORDLShAQaXjWZ3EysPD/jbBL7k98LT2VOOF12yQUKZAv0x5smf/ru9R/+uWz79YebT6+7/kJnSnogM4BAEyD9yRhIH81i7dgq0ZkLf7nYWwQCpTbbczeDP8YONVDiqKiBHo5cgV7rmrdq5tWgqyw/vv63vw3/fee07CdSnscceheoZhOe9idjKmcsi7XHcqK9GtOcKypQrz89Ag2vXGdTRaBpJ8wsuUCFXIF+nNvupiznf/9oVktNUp7HHI4hUPE7UM1OJI8/GYuJRLJYu2zVbdcDXbPFBJrvz5Cl4pVFP/gq55nIFei72ZE/En1GECiDRnrh5QINj3yydjqy896isD8TBUovveT/NdQEio/KdU6mQH/9Ya54zs12cqdNwuOYxQEEmjEO9KWN+CL8/uQsqLy3QP3unBP6/MnWoppAg/6EQI9PvkCnnvafvrMFOnUlTbw2yDtnV2wEmJNXkN/EK9B4SmtTJLWltsAledKF9TmmpPXp+PO999z8lBHCAi1ySrAnmQKd+5BcgQ6jQ80GPARKkWXAZgT62Z+eL1DXpyJ/ugJd/PmW7ygIFPBQFOh2zNJteL3Tqp9IaBBl0XwTPrUN3mQT/uKMVAqktnTn7YX3bIz602nCL/q0v4j0PuElaMpPidWYzkSxGujAO59BU57HHFoXaLICWxWo95tITIFaAlywt8T9aQn03vAnBArUKfgONNCLlPI85gCBsskVKPewpEAdA/pIFaipT9egoTOJ/QmBngrFXnhi6rtvHFPSA5kBBMqmkEBZvfCEAmkY/twI1PJnikATR7UbQKBnQnEcKOFKCDRMQwJlz0RqXKBGunvbn2n1SqE/IdBTUWIm0tqu/xFN+CAtCZQ9Fz7Jn5yZSLQEKZIEauvztiupXinRJwR6LorMhZ9nJa1dTBbJD6WQ1gWa1wuvvR5oGYHG58JrCnRNR/pTXq/kA4GeiSKrMV3FOdQ8rzVRTOUMklcD1V9QmSNQhmJ9OcY/t0YrVAN1mu/rLSqrT/FiIhDoIdFdD3RW5tWn7iKhBsqPrJfOBaq+oDJHj+kCja0HGhCo7VOmQYnq53yLWqqBbvMl+hMCbQLdFenXOudNq57VQCHQmVyB6i6oPFBGoAFCAnWNyhCoufK8sXG6RSmGkke0EhQo5sIfH3wTSYNqAk1by4lBDYH6euGJTawqqNN8XwWapih5RAsJAsVydkcEAtVAX6AeKRIBkSnFTm1IoKRUGQYl9DkLNLWSJ45oJUGgWFD5gECgGmj3wnvrlbyAMqqlYoFKXUrMRDL+N92gVPVz4AgCxSc9jgcEqoGyQP1telZAOS9GhQJNq46aRnTmwnuwsyf68ybQqMBUsO5RikDxUbnDAYFqII8o4k9bgZyAkl6q2sgEmtSg3zrRXo2JY1B/Dp8+2xQokRkCPRgQqAaqNVDfa9EBRkCh7HFEAg1nsLCcaH0TiS3QkD4Jf1YTaFIFNOnCqpRcYAGBanBugcZybLCl+OTfmyrQWZ/kziMINO3KqpRcYAGBaqDZC09tW4gHFMwep7RAHSsKBRrw51tq76WSQEP+xDCmDoBANTi1QINZDMXe/g4LNODPmECN5rtXoBV64RMEmnpxVUousIBANYBA6SzODlds23egXH96v7s5JiVyQ6CgBBCoBhAomcXd4xVoRJ+xYUyb3iO/QFueiRS2K0GVkgssIFANIFAqC7HLJ9AEfwb0OfvzkDVQCPSQQKAaNCTQ3DXuYv7kC5TcRwtUx59r2oMI9BJMGTtPlZILLCBQDU4tUF8WvkCz/GkP/iRTXZrshb8EU8bOU6XkAgsIVIOWBLr/TKSECqhtUHIxEWO3pU+mPw8i0G02CPSQQKAaqK7GFKpCNjAXnvAlvwJKCtTvT4eYPt+2VgNNmMmZem1VSi6wgEA1aEugZVdjoiqcVHqOQC9BgbqnZviTfgdabSC9vAoaPU+VkgssIFANdFdjCrTBuQEJ9SkVKLUak0egnI/K+fxpp6SnvrvpjiFQzEQ6IhCoBm0tZ5dDXKCeFE5in0AZH5Xz6NNK6V06xDsXvrVeeCyofHwgUA10l7PLXlA5A7FAGYdaEpuGFH+V07/y0mEFWmY1pl++vVv4skhx/vnr9Qy/+ZMnzb//6/Cfh7u73/5VdJLn7fV7DjRcyhei4wuBQDXIiMhT2/S0wbsUqHfxeQdG9TMo0JZnIhnpeefhFjZToF6/ZWEKlPbX9Rp+mynQh+HYv/uH8ScEWpwDCDStx6dlgdrJff7cilIm0JA/QwJt+aucqXAL20agUn0F2QqUquYuuhMLdDzH6n8IdA+OINCkHh/uR+XEiAVK+zTkT2NBZaY/53RBfYYF2tR34SvUQO/uvtEvzpZACbHJK54zz1b1FgLdgyMINK8GmjFiiSQuUHrcvJsj7k9jQWWePy9Mf1KvVddbVFafbb4DHZu+N9EV0IthrWf6NUG+QK9H+N1/Mo4Cge7BAQTq73GnsANKy81AKNCwUo3Njuzs1ZiCV7fxJ63PuEBLI5zKeSnVC78K9POnV7d/Xi332//728lAYwV1ebn4aFT0Bht9s7Xuw9pGX49iWuthruQO55pO8bi+HZ28dzvyLa1pxOtVDLmoOvKw/ctnowJtHsi4xPFSHo0DG9dRAghUA+1eeC9WQIm5o3hqjaFUVD76WLetPoFue5Yuvo3R6qdnLmfuW5YUWhsHSgv0f5isMstttOLSGL/VIoe//kezWT7KaPprPQol0AfjuLRA/6dXxjuF6cS/+d88An0cLsk6z3wg8xKHv/+bb40Dm9dRAghUA+3vwnvZBpSaOwKhz/SZSGGBuroL3SK3WhqtfnrmwlergTYwE2kV6M1/XyzvE023jX8Zr0uHHOa7ze3fw1/rUawm/GCy55uDhx3Xv2iBmsfavKclBDrF8LC+H/AcyP57cx0lgEA16EKgpD/T58L7DHrbliRQW4tXeP6EQE3cTqTnRVODUgclTf8dW9Zjjm8mG101dPvvN2Nt7sulkrkexepEGlz6MFb5Hifj2b3w85Hn88/effAI9NaCH5NNNUnrQPMlmn8PB7auQx8IVAPVufAhNgEl5w5C+zP9s8ZqAiXEGPWnV6BvW3wHus+CyluBznXHsU66VOkGQ30xN/FnlorbuHeuaA4H/MI8ylagZlUvJND59ejkuVu6Wd02UzLjbYR9oPESnQNb16EPBKpBBwL1+DNDoFTPUoJAXTPG9fnW24SHQFd/rhW5VUjjv2YTTu3xpWk+7p2qgTcdXSW1Vgc3ArUE7BfoLeFotvU6HkmBLvvX3caBjEu0D2xfhz4QqAYQKJnJ3ZIjUJY/PZ3wEOiNSSJLb7bx8nIU0uMm5br7tvfZ0OQk0FFmhkCXrpptdxQl0C+mS5leHXyxvbQNi6uneiZxoGmDdWD7OvSBQDU4vkB9/swSKLFIk2M73y1yDMj0p2c1ppML1KgWfg4J9PMqyW/SBPrFZOqpAf88OivUhE8Q6MPd9tTEgTwCta5DHwhUg5MLNPAdEPtvsUDZ/oRALQICtZvwt72PSzN+aQ+vTfhviKNsXo6uo4mGnEyBRprw1FRR+12A0YS3zGxehz4QqAZ1BKrZC8/2Z6JAHWzX8QTK1+dbeipnk73w+3wXPiDQbSfSbVTT0u41urKtTiTnKJsXkbd/za5lCjTSifS88ecYjHEg4xLtA9vXoQ8EqkG/ApWPA/Wx9SdPoEn+pD/LCYGurOqzhjHNHeuThm41v6umZq1Nw5g+vZoH0tsCHUeafrP4eMg4C3QUmEegz8aJ5vzrf4zhn+YRl2FMxiUSAjWuwzfPKQMIVINKAlWcicQQaKC66RcoIdSNP1kCnf0Z/3ynT6D1ZiJJB4LGz8MtbCGBmm8XtwPpl0GVRrVvnoh0twzKtAU6z4WfRhMtwzqXCaIegdoD6TcCXZrp8wmmgaa+gfRWE964Dgg0kd4FqjcXPirQUIJ4pu3JVn2yBLr4ky/Qi7OlxRqonTPJnzoCtaY6riIb/jTmRY4N8GfTVaRApynt1gynSb1+gc4i/O3/RQj08c7q3Z+G3M8HMi/RPvD2OiDQRLoXqNpqTDGBeveHBEooNR7RBKHPFIFe7A1HEGjp1Zhmtl3d25WKn9fXjJONHu7sxUTG9jQt0JsJv1wWkH+YjjXPIvUJ9PN0mudNW/v2n6XVvl7BN9aB1kt0Dry5Dgg0kf4FqrYeaFigfn+mDaRnRXTD9qdvfOf88XjLn85E+uZ74Y30vPOUL6a7rw1nCpVHhUvcAoFqUGkuvCZBgYb8mTSVMyEiwp+etetpgVpLOR1EoAmUL6b72enRmNOUtOoHBFoUCJRLQI+hvYoC3cpv/NtYu85I5K9sWocwgUDT2c9O5kClpHXnINCiNDK5bdEAACAASURBVC/QzPVA9QgKNOhP3zhQ2qq+iAj/bUYvrRsJV0KgZdjRTutogO3r2hgQaFHaF2jmivQXrXeglQVKCpDwJ5mypyb8ad+BzisqJw53h0CL0r5Ac2ugu/TCRwXK/6QHHRElwHvSn+Qqy+F2/fjneXvhQUkgUA2qvQNNq78GUBSo74j+iCgDbiYfbbM4TX0qv/13izVQO2da475KyQUWEKgGtQSaWH8NkCdQypNZArW/fGRkMJM57lwSOxsaFKidMdK6t6lScoEFBKrB8efCRyQZFijtSZY/h4hcA9r+9LfXPQJ1tzQo0J0+6QFKAoFqcG6BekwpFyi1dsiUnOFPCBTsBwSqQcfrgcoFyp6J5NHnve3AC3MuJ/latEWB7rMeKCgJBKrBqQXqGpU4aCgi2p9EvVJaAW31u/AQ6PGBQDWAQEmB+lZjsiJi+dM/F75pgTZQA31KoGSh7xMIVIPmBJrs0zICJdcDdSNy9UksnXy5sCugEKgJBFoSCFSDxgQqqJJqCjS8Ij0RkeNPthjpZBCoCQRaEghUg7Z64SWN+l0FuppuOxMp+OUOI13Mn0cR6DZfoj8h0CaAQDVoSqBJB5zJ0WWiQbeyW+fCB5rv3polqU8IdAMEWhIIVIOWZiKlHnJkP4FavltWYwrqkzOMiT5HwwK1M6b5EwJtAghUg5bmwu8vUO6szRu28+aIWP7sSqBuziR/QqBNAIFq0NBqTPZLAaZB9xKoI7YxonDznTeT03+WhsaBhhdcSvEnBNoEEKgGDa0HekiBRvTJmwnvP0tLAo0s+cnWJwTaBhCoBg2tSF9DoMxp7xfKbE/x6uehBZr6ZpMPt7BBoCWBQDVo6JtIMoFm+DNboHF/pr4CbWgxkUvqm00+3MIGgZYEAtWgpkBVmvAcT05upATKWzfkQgqUoc+3iZ3wbQk07c0mH25hg0BLAoFqUO+78E5OkUC5NU0yrb01dCJHe5zq5+pHrj/bWVB5pIA+IdA2gEA1qCZQImuxFrwvrbU5eCKfP2P6ZA2k953p9nc7AtWyKbewQaAlgUA1qCVQKm8xgYY+FsfTp3fpz7g/eVM5yVONf7bShNdrz3MLGyXK2xUEBPrLt8bn2R9vnxq+bhJ+erhrIFANjj6VM1egTiIfpD5Z/kyby9lSDXTTiaTYo8QtbB59kgqd80QEenf3jbIRDgsEqkFLAq1QAyVS+SD8SX9WUyZQejb8sKGNYUyaY5q4hc3vT9egcx5aoPOmT6+Sv9/eLRCoBi0tZycRaMpLUHczmcwD4c8UgXIN6m5sZCC9okG5hS3gT8egc56wQD///LWx+9xAoBo0JNDkQ97gVUHd6mayQO2V6+5934X31S0h0BluYQv50zbonCci0GkTgEB1OJxAHdOxDcqSbIiNP33fhfdtdLeTBiU2treYSK5BuYUNAi0JBKqBvkA97tMRKKG6UgIljLrx52ZB5Y0qfQLlDGaCQA2C/rQMOueJCfQBAp2AQDXQFqjXfioCpVxXRqCkU9e5m2tE0aqmmR8CvcEtbAUEinegCxCoBsoC9etPQ6Ck7IoIlJTqxdSnsaBy0J+eAUoQKAOhQE0sgT7f3f32r+pSOCYQqAa6Ag34T0GgtO1KCJTcfL/1JwQqhlvY9AS6glFMMxCoBqoCDQmwRYH6euFJs5qD542IXFOSYiR3QKBh9JrwC2i/L0CgGhxIoJ76ol+PoZ2JAv3KWjl5iYgwZZZA2xnG1JxAs3vhH+/uvlCVwbGBQDXQFGjQgKUEGtBjcG9AoERKZ+7mxT+MqROBpnyWMxFuYVMW6PAGFF3wCxCoBmcWKL9OS0x9LyXQdqZyNifQ/JlIqIMaQKAaaC6oXEOgIT+GdycIlFo65BYR6cA8gbrbGpwLX0mg2XPhh7ehWExkAgLV4Og10IhAw/t5AvUsveQVqLQXnkyTcYvSCazGpOnPCqsxzZt+/hrDmGYgUA3qCJTsbnKy24dIFmRwP7WTOo9v5boyAiW2NrEeaCMCla4Humx6RiN+BgLVoE4vPF+g5lFUBUruJE7kXfnTL1DZTCRPilZWpFf0Z9EV6eNTOTGUaQQC1aCSQKkh9x6B+gxKbOJDHZAaxrQ0379KESg5v9PecQyBruj5s6pAr414jKW/AYFqUGcm0jap95ghgxKbUvUZF+iiz69ogcYXXrJ/t5hB2xVoI5/0iAkUcIFAFXgxIEpGS87rT8ZXOb0CpQzqbhEpNOxVw5+OQQPL2d0g9bnuOIpAN8bU0ScE2gYQaDYvZtKT+STn8yenBsqoguqtB0rl3R7xfuNPWqD+151B+FXQSyOdSPYfWXALGwRaEgg0lxcvWAYlk/klR+qT9VVOfh10c6gMg4YEutXnV64r5QKl/dmeQDevPQ/yDhRwgUAzefGCZVA6WbCWSJH8VU4yie267cZUg5JSHTdb1c/bLst14SZ8AI8/W5uJ1OBH5SBQRSDQPF68YBnUk6yEQEP+HNO4tcWL2J/BmUiOP7cGXSKSCNTnz9ZqoH5/1hwHCoFqAYHmUVOgdO6wQF/GunwUBDq/GXX1Oe0yNRkYxhQEAuUWNgi0JBBoFi9s0pIVEGjEny9fktVF1QWVx2MS1c9xn1MDlQg0yZ9YDxQCLQUEmgUE6jMorc/rLkt2EKgUbmGDQEtSR6Ap97RpHDOmJXPslnRyMndUoLZBx2PpCvTpyefP7Tim8dyO7hix+/zpPWKlhy4s0KxDlyhsJQt9n6AGmkWxGqinPqpQA6WroLoC9TTfHYEGlrOLEKp/oga6AQItCQSahVSgk+98AnWFOnEMgfr1SQpU0gsf9CcECvYCAs2D5U87mV9uY2rXqDPZw5gKCNTJy/dnZC58iIA+WxJoAyvSg5KwBfrz17ePmT6qfA4l68FJoE2BBuR2S0xYcSZ/GFNxgQaa7z6BSmYiHaQG2oBA0YQvCVOggz5Hgaqs5p/14CTQ5EykkNyGpJQVZ9IF6qQi/ZklUHLlT88RaYH6V67zEzJoQwINGTTvPNzCBoGWhCfQ0Z+DQB/uNAya9+TwaXEufLB2OKQ8nkDdlevufUf0CNS/cp2fgEEbEmixCigE2gQsgQ5fkfrdPz69GtZQvRo0/3soeU8OnxZXY0r0Z/Y3kRwof4bXnI98Vc5due7en8cj0MDKdT5IgbY2DrRcBRQCbQKWQJ9vC/iPAh0a8dmr+Wc+OmwaXA80LLfLDgI1DbocKyjQoD+/IlauC2SyxZZxi44g0HL+hECbgCXQh9ua/pNAr9XR7I6k3GeHS4Mr0isKNOWbSLRBlyOF9MitgBq9R4Fj6gmUroH6voncnECzz8MtbBBoSTgCnb6GMgn0WgXNbsNnPzxMINCQQo0jKQjU7HwPHNOWnfgWefwJgdpAoCXhCPTnr2/9RrNAnyFQmzoCJVPyBGpdVNiPQYFO+7eDlwJH1aqB+vx5GIGiCd8FEKgGmgLN7IXfWaBTdmfhed9hHbGdV6DoROoBQRP+Ae9AbVIiinptB4Ha1xQ3ZHC/PXY+cFzHbMJb5PVnYwLFMKbOYXYiDXXOSaDX+ugXuWfNe3L4HFKgpWci6Qr0K2LlT/9xXbMVESgWVDaAQEvCHcb0xSzQYUxo9kj6vCeHT4sCDRiOSrDNqyNQ55JiAg0lcKdu+g9LVA31BUpLtcWZSJjKeXx4M5Fuo+dvAn28u8tvwZ9boDGDhmynsZgItWpzTKD+BEn+3EOgnlppE1/lhEC7I2kq50j+RKSTC9RYra6GQKkrigrUl4JYOcSXY9h2RoGWGsrELWwQaEmYi4kMDXc9f55doMt6yZTcgsLL70TyXFBUoGQSeuUlOv240THbLgKtuZhIkzXQ248SEOimxjT2HQMS9nJ2k0I19AmBzuwr0NCVMATqJvQsXOc54m3r+QTa4DvQ5WeBQLPBgsoa7CRQ6k8+5okdN3IFyvCnr+d+PIDlte4FGvJnJYEav0tAoAqrVp4BCFSDXQTq35AqUMKO6QINLJxMH3E6wtafEKgYbmEL+NMx6JwHAuXCm4m0qcRjIL3DHgINbpH5k7sa04XIG1x3njzifIiNP3sXaNCfVQRq/TIQaB4igWIqp4U4IkpyUX/yByyRAiWt5hWoZVFLn/f2gvQMgW6X/lSfynkggeadh1vYINCSpAv0+ttCoBaaNVDW4CQ6N0ugtNbCArVFazbffQL1nMhmH4G+hUBpf1oGNQo5BMoiItDHOwo04S2OINDZoDKBbgxqr1xXQaCJ/mxSoJnn4RY2CLQkEYFuhjMsYEV6i+IC5STkCdRjxqhAV9Pe2/5kHdP3E+wk0LftCTT3PNzCJhSoYnHvmVgT/rmEPyHQCUpyfBvuK9BZgdveIzL3hdjq+wk6F6ht0IuaPyHQJhB0IimQ/fAwgUDVBUquvMQ5pOcnENyiZHm2JNBpi8J5uIUNTfiSQKAaHEOgt/+VC3RISQz+dLNfyEN6foLkWyTSZz2BXmx/qsEtbE9Bgz5BoFlgIL0GhxDoy3yBUoM/nfwXzxHpnyD1Fgn9WU+gl0L+hECbQCLQn/89hjFt2V2gdG6JQacrYQmUHjxvHeDiOyL9EyTeIqk/G5kLr3kebmF7Chn0CQLNgynQbV8SxoFalOyFb0agvrmbF/MQa2xFBCr1Zz2BKne9G3ALmy1QzIXXhL2gMgQaYG+BenILDDpfCd+fHjHGj0j/BPsItJm58JdIJ1KCZbmFzREobzUmCJQFS6CfXm0Fik96WKgKlLUkslCetkHXSxH70+lF8h2Q/gmSbpG8AtreQHoqa1JFlVvYXIGy1gOFQFkwPyo3fBPp8fYxuQcFf0KgE7RAY3bM06dpUONSmP7kTHynj+j5CfIFytDqpUGBEpJMa+pzCxslUB9znu0EmuyPSHYM87PGw+TN6XvwjwqLKis9qlGOKdCYPnP9OSt0ey0sffIWDiEP6PkJ8gRKbjyIQB1JJr4s5RY2CLQkvHGg5nfhrzpFE95ir3egY0AhtyaMgtrC82eKQAvMRKLMyPBnowK1JMlo4m/gFjaJQAEXpkC/Wf8zNeWzUH1gA3Qm0DGgsBYLCNTwJy1QUqoX6sWoCwTqSRo9D7ewQaAlSRDotep5mxX76RVWY7LYaRwoR6AJ40hNmP6k0gX6i+L+zOuFd7fctlIGbVGg74MpY+fhFjYItCQJAv38MFY9P73CMCaLfQTK++KmyJ/x7777Fl4KCpT4+JJN+BbNmtz8HRUoVVOFQCHQEjA7kW5Vz8dxIdBnjAO12X8qZ8CLqgK1/Em34QMCjRK6RaYo7U3zZrK9DoEaQKAlYQ1jmjren8cPnD5iQWUbte/C52EevJA/9xSopUp6IwQaAwItCXcg/aDO63+u6nxWGNag/cz6aFSgEjcqCpS4IrY/aVvK/Rm4RU5l09pMpPJWSyFQCLQM/KmcX64zOjGMySItolR3svPwDk9cEV+fbmLPJi7eW0R40docSOdubGQqp1+REOgh4Qn0l29v1pyG1+aPq9V9Yv00KVCJP/XWaCIvKejPSGJ3W9JPlyhQd1svAsUwpkPCXc7ueVxT+UFnhX/N5zVEiwJN9GfKwkuRpP5rSvEnZcsCNVCyaU7aMlZRHTe2sZxdSJEQ6BHBgsoaNCRQiT8Jgd77/XlxXVlVoLzOpkYWVA4ZMs2fEGgTQKAaJESU6s8UwscPXJTXn5QRo/5U6YUnBRrfSBxg/LMRgQYXXEryJ1ugoCQigf6fGAe6pTeBer58RKQls+8qULJSuh5i/qONJvyygc6a4k8ItAkEAlVYjinvCeUDgUoESi49TyclO+FbEeiGRjqRYpnZ+kQTvg3iAn0cOt7XofPD4soQqMXuApUcKnBRkeqnKUVKliUEGu8vGreSoiU4iEAT4BY2CLQkMYEui9GPfe/DeCYI1OHoAjUU6PvykXcuPLUx4afrXKDvbfTOwy1sEGhJIgI1FlYdRs/faqP5MzlPKtAXAyoGHY+XIVBbcwx/BhYT2W8mUrQF73QjzX9AoBBoCSICfRzNOVQ8f/cPpern53MK9MWInj8TBWpcimM6x5+EJz2vO9UE6lYfCSsmCNTaAIFCoCUIC3SagfR5GEH/mz89qEzjHNB7isI0JFBVf47/kQrUUR2j+hkWaP5MJKoFTlUrHVf6BGpvgUAh0BJEBTq11z+9uvtv9b6OovcUhWlHoHr+FL5GXS/Fa7+wPoMCZS0+TzLeIpYr6ZRRf1adiQSBdk5YoD9/PSvz9jJ0nM6pgN5TFKYZgSr5M7IiPcugjv64/gz0Il2I1wJMbrcoqkDKoKF07kb0wkOgJUgRaH7n0YziYxSkR4GK8054BBppvvsFetkcOPmnG24R04Ez3iopBEoBgZYkQaBq9c/zCZTtzyFxaO9TRif+eCkeOcb1GRoImoFPoG9tPPnJdMTGdmYiacEtbBBoSRIEqlcBhUADkgvuLSVQhj99897zBcp1IEnzAk2c4c6HW9gg0JJAoBrsI9Drzie5P6de+5A+Gf6EQDkRbSnjTwi0CSBQDXYR6HCgHIG+9AmUo0+/PyFQNyKbAvqEQNugI4G+GdhuOpxAA9wOVEKgKf6EQFkR7QK3sEGgJelGoG9mzI2tCDTfoNNx8gVqG5TVfA9/lDMLn0C5qyxxe6AgUJPbnQsIdJx0qPQBn66JCpSiwcVE3ryhDNqFQM3jqAuUp8+vir0ClQxj2gKBRvDok1TonMcQqMo3fPqlE4G+eUMatBmBZhh0cxgFgZoGZVY/DVFq+9MvUN9K8w5x+UKgtD9dg855rgL9cvkXDBqgD4G+eUMbtBmBvnghNujmOBoCXQ2a4k+Fzx+ReGcieb51RBBxLwTq9adj0DnPKtBhQSHFEeDd0cc3kY4j0GSDbo8TFuiQIsGgsz69o+tLCdR0XUCg5Aoj3uOZ6SBQg5A/bYPOeUyBXv+N96BeuhDoG5t5RysCfWGS4U8lgd4Uer/6kydQyqCSH2urO38TfknLPSZxCgg0X6Cfn1EF9QOBapAk0BSF2gfSEujlYugzTaDyhZdGLFOGBSrFPSIESvrTMuicZyPQn7/WWcSyS1gCfdBYRNlE+VE6mkC5BnUPFJ7KOaRgHnnjzzSBihdeumGLzTuMKQsIdCVboJs/wBaOQNdVQbVQfpQOJ1DmsiIuSgK93/ozUaDShZcGHLPpCNTJ5hwPAhUL9PMDXoJ64Qh0HU6vhfKjdDyBxg1KHyi8nN2QIsWf63ETBSqniECpjPbhIFAItAQt1UA/DIiepcq98DclxlMkN+Lto7DSS/zJEujmUoRGdV2ZJdAxNZ3T2tbOXPjgxPiEWfPcwgaBloT1DvRZ6VNIC9Tz8GGG9/hsqCrQRYqcNImvQc1j8BKz9Xm/ucA0gYorpaoCdfK9DYyBamU1puDSTEnrNnEL21PQoE9xgeIdaABeL/ynV7p1UOJx+PBBzaDr5j0EakiRl0rYj8RMy/WnfYEifyYblBSosBee8ic5FPT2dyPrgQYXB01bOZRb2LIFil74AMx3oMVnIn34kGXQegLdWNGz206WINDFoNy0TH/a8kupgPq8ykBRoLQ/W/uoHPFZOa8kE9eu5xa2p5BBnxgCfVb5lHmnNCLQDx+yDFqvCW9p0bdXLtDJoOykLH3eh6UYNqhXrAxogbKnvYeOtMnubmvkm0gBSUb06sAtbLZA0+bCYyZSGAg0j6BA3TefdQXqTn1fLnUngZK98Be3wZ18IAjUiyNQ3mpMmAvPoo2ZSB9s0h7ZesOYHC8Gd8b9eSEMeKE2CgRKLh0yXytDoCrrMXkEyp727jmOJVBiYyvfhfdKMqJXF25hcwXKWg90EuhQe0IXkh8INIuQQEP+rCBQz9JL08WWEqiTwpbd02YH+4eHQIuuSI/1QLlAoFlIBRpQIM+VyQKd9WmvqDxeK8efAoFSaSzXCW8RBLqXQKHPIGyBDlX53/zp86PKcCb7WehHoKtCJf7kC/RCpSQ3bvR59af9TY/bxZYRKJ1oozoI1Jsydh5uYZMIFHBhCnTsRxoEqjKm3n4WehLorFB3c9yfmQL1YuiTFCjLn8kC9aZa9QmB+lPGzsMtbBBoSXgCnfrhrwJ9uNMwqPMwHLUXnq5g0rvmbREvsv3JF2jIn3yBTiGzBcpLJr1FECi3sEGgJWEJdHgj8rt/fHo1DGe4GjR/WK3zMPQlUHLk/NK231ug9xt/9i5QeucBhjFBoIeEOxf+y2E+52082KPCe2X3acjyZ8WZSB6Deuull6hAOV6MH8j150van2yBLiHL/OlLKL5FECgTCLQkvAWVbzPhJ4FqrM1EPA5Z/qz3WeN0fyosSBc/jtef4j6k9fIbEShtUM+uI0zlTPQnBNoEzOXshjrnJNBrFbTIVzmz/GkY1NzYmkDHf+QKdD53gj5Xf5IClS4lUlWglEE9uy5HWEwEAj0izKmcQ7/RLFCFtQXoJyJDnwOOPpsSqJk2S6Drufn+3GykrMbXJ/sdaHmBLt35jj+bEih7Obs0f0KgTdCSQPWp1YkU9qd8HOg2IK4+763tlNRY7qRTen6aPQS6sNVnYwJlL6ic5E8ItAkETfiHIu9Ai9CMQO2kewjU50/DoMuheJVPOqnvt+ElK3OLGhMolxR/QqBNwOxEGuqck0A1vpAkf8TSaESgREqRQC8JAvXr01DocqjOBNpSJ1IabH1CoG3AHcb0xSzQYUzodiT9x9dX/mhl+ZHauJDziHmp8Q6U7U9dgY5/yf350rKa358JAnWSszR7CoEym/BlaqCgJLyZSLfR8zeBPt7dWS34d69v/P7vxrZ//Xnc+G9/o48nezKD1OmFl1ZAfQa9hAQ6BxQSp+VP337LaykC9dQsqQwMf55BoNxOpELvQEFJkqZyUsspX6ua33/+/NN3r//wz2Xbrz/c1LndaJL7jLpUGge6p0DngPj6jPszPg7UCZlOQeeI+/MEAuUOY0Iv/BFhLiZiLG+19ee1rvn98N+rLP+ybPw4VT03G010nlSDlmci0eniGiT8GfkuvOVPfwp1gXqzRPR5AoG+93IJJoyeh1vEIdCSsJezmxRqj2D6OLfd3xlvPN9NNc9rTZR+Dar3tI5UmwvPEii5VaLPISC2Pnn+jE7ldCKmUsTyBOhdoH5/1vukBwSqR+6CyrMrr0359S3oItN3EKiPZHdOAWn7M1YFdSKGQCNgLvyZYA6k9w1cWuuYH4keo7l976D7xLa2HqiuP7cCzddn4mR4J2QiRTyTn84FGvInlrPrAP5XOclVQK8CnRT503euQE2pvjYQXqsXR6DaJ/Cyh0A3Jwyn5PjTFuh4XK9AnZCJFPFMO+MItNqVhAUaTKl1CRBoSVhN+E+vfF8zXuuYhECvO9de+JMJ9LPxv3n+TBAoR5+OQcfjQqBlgEA7h/sOdHKo3ZQ3BWr3uF/3bQaHGig3mhpswof3p/iT3YRnVT8dg04H9grUCZlIEc/kB014X8rYebhFHAItSUIn0vP8WQ+DQA30uss3jj7rWSbWbGpPoOHdSf7kCpStz5fUciIQqBoQ6JlI64UfHWrMRPK/Ax0mI9GDQD/nPMv0qqHVeuElAk3T58afgV74FH++dFWXJdDmeuHbWUyE7U8MYzomycOYhvGg68tQsxd+016/tui99c+MZ9mzbn1rw5h8exPdyRcov/mealAnYgg0AgR6JtIE+uBMRjLGgZrTNsP+FD/L3i8n0f6sJVDvDoFBzZN5EyXqU12gvHVDSArdItufLQrUzpjmTwi0CfgCfSSncpIzkQZ/+vqPbggfzcC3O0l/VhKoZ/NtV4ZBo/rk+5NaUzlLoKx1Q0hK3SLLnw0OpHdzJvkTAm0CnkCf6Ynwnz1z4QP97yPCRzP08WPKn1XegXo2z/s2akwRqKY/ExaltyP2pRD6s9wt2vqzFYGGV6xL8ScE2gT8gfT2MnYT1GpMPwbb75+lz/IHm+1uR5/7C5Teau03tMiSXSSpQJ+0QGmDWgEHEkj0WfQWGfpssAlPZ2brM0+gt4cgJtCx3G+H3QALrkD9n0Ey1wP99YfBo/NqoP41lWVPZkSgBKUFShsy7E8TvkBj+hT7M/zBONuIfsU2VwO1aE6gTE364RZxjz5JhVql3tPsBCsJNVDf/xUZK9KPAr1WRyFQjj/zBSrSJyXQ+Z9SgfrrrBHOK9Bcg3KLuN+frkHXXMPMmdvs7UdUQkMwO5Gm7nd6Qnw6sifmIALl+5Mv0ML+XP8KC5TyZxO98JvWOkmDAs00KLewBfzpGHTJdK00zW/sjH8CB34v/Fyl/1LhrLInpr13oAkCJfNTsuQLVNZ8T1sOlCfQUJ4IGrfI6i8igUApf9oGXTKZn959Vqs4dYhkJlK1r3I21Qvvq2j63Tn9sViRJ0uduUdSf4oEmrImfdYtGq1pj1giaaQXXtGg3MImEei1trQ685dvUQP1kjkTSYjwkWloHChfn7NApz9Crgw217X86XTBB/3JEmggG30cg4xb5Mx4twzaQi98cwJ1ngZSoM/oOWKSJtBpTabsVrz0meH4c5eZSCn+3PQsbWVJCTRNnwJ/2t/kLCJQ93Ofnl9SfosofxoGbWQcaLluJG5hkwj0Ea89mSSvxqTyy0qfGZ9A954Lr+FPsnF+YQo0R58DtOOiAvXUNb0ZA0fKvkW0P98Su29/Q6ApAn3If013ErgCfVQdEiZ8ZLxN+J0FmuRPs2MpKrYLT6C5/jRn2JcSqFszJX9L6S3y+HM2qLMJTXgItAQsgSoPYlIX6BubeUcLAjVzcMQWt19W8305z0yXAnW3tSjQvPNwCxsEWhL+QHqN4UszsifGO4xpZ4GW8ydLoPn63CzxlCJQX4rIMUIGFd4irz8bE2iwAtpuLzzegXJhClT555Q9MUcU6CYHy2yRFArVzySBbsx3FIESGyHQFIFue+GfNStPnZH7XXgZsifmeAK1crDMFk6g7k+m/AJpUw+yBQKVwi1sTyGDPtECXTaT8AAAIABJREFU3YwD3YyqB1vYAp0mIun0IsmemAYEmlz33GRjqS24W0OfW38m1R4T90CgLQqUNRfebMN/eqX6/q4vmAJdl2ZRUajsiaku0AR9FhGoSvXT8idXoP6KJv8w1G8KgUrhFjZHoJzVmDAXnglPoIY/VdZmET4ydYYxLTqU+HP897wxT6Al9HnJN6jvOHV64emdbQqUyJzgVW5hcwXKWQ/0+Q6rMXFgCXSYvjm9E3lWGUovfDRrCHQ1YpI/6YXtsgSqOfjTREugri8h0ESBJlVNuYWNEqgPI9s06xBLKodhCfTZkOYg0+zxoNJn0+PPggJNs2bEn3GDXqIr16n7M9ugngORG1yUZyJ59jUpUCdnWuOeW9iEAp0VCn0GYQ6kN158XpvztVZj8n3WuNw7UGV/Rg168QlUefDnFi2BulPfo/5Ungvv29WiQJ2Msea9BbewiQUKGHAEeq10mr1wCoNs5U8n5c9yApX6U/XDxsX9mTIKKSxQe/Elb7oV1dWYfLsuDQrUyRfbb8MtbBBoSZgD6c1Gu8JSVznPp6PPYwlUotAive9b5AKlDkQflDyxwnqgF2vluktDAiW06NMjBHpEjidQglICFTty2Ovflyo+FX1GBMoxKJ2Mf0wyTZm5Di0L1EO8imrBLWwQaEmO1oQnOZhA0wyq5c/sGiidMOWYVKIiAm3nHSgE2jkH60SiOZpAkwyq5c8yAk06JpUIAqUTQqDH4FjDmDxkC3Q7+Gkh5k+xQPkGVdNntkDJlGnHpBJ1LlBCix47QqCH5FAD6W/odyI52WaCAg0KMibQF4lf7ijtz7hAyaSJx6QS6XQiUdvbFKjXjxDoIRFM5VSYDC9/OgsMY7LyGQcIOzDsz6hBB3b0p55A4x+K8x2TSqQxjMm/p2GB2oKEQA/JkRYTuRQZSL/NuDlEbYHu5880g8Y+Vew5JplGZSB9aF/dXviAQC1DQqCH5EjL2XmncuYI1MlrHCPLn4w+qJBAL2q97zr+5AgzclAyjc5UzuDOVgW6VSQEekiOtKBykW8ieQXqN2hUrPOxswSq8eEjTX8KBFpyJpKrSP/uYcN5BQpKwhvGpPQxzgXho1lAoH5/DkeRVC3NlUDlAs3053IFLH1mrIfMP64nRSGBtvJZ46BA3wdTxs6jWySBDOZA+m6/iRQWKG1Qrj5Dace9fgNm1j8Tf1mWPyUCjXc4aS2o7E8x/nlegaIJXxLmVE7lj5zKnsy9BeqrgubrMybQ3Ob7egU8nZYTaLTDqZhArUFOECgEWgLUQAsKNJqstD8Jo5KUFGiEggLdAIFCoCXgzkTKnny0QfZktiDQGOax48n28qfCSiIQKJfgVM6AIxP9CYE2Aa8X/tMr3Tqo7Mn0CjRnRfpyAg2kmoQW1Gf+60/PZoJ6/oRAfSmj5+EWNgi0JMx3oFtqLWe37zAm0VBQ48hBgXoWn88b/bmNLLjT4nACjfbC29QSqHQoffw83MIGgZbk9AINDwTNEGgw2Wg0QoFZ1c9tYMoCZfyUEroXqGw2J+M83MIGgZbkUAItMRMpPBcp2aDrYaMCJchsvm/CCu51lFjLn4VmIrnUE6hkQRHOebiFDQItyaFmIhX6qNyaLb8Rvx5VIFC90UuXoEApK1byZ6G58C4VBbquYBd/zcnWJwTaBgcTaKGPyk2Z6GpoAYEG9anjz4BAKS9W0meh1ZgIqgp0Ji7QBLiFDQItyaGmct5w9HlR+y68ryGvLdAy/uQKlFJjFXfeKLIeKEETAk3tJwrCLWwQaEmONJDej45ASX961wYNbPXkYPlTrE+7l8i3nxTkQQWaQBsCTewnCsItbBBoSY40lTMA7U8dgXo6kwJbL/S+gEDzq59uL7tnPyXIOq33GycTaFo/URBuYYNAS9JHDdRZVn6iqkB9Bg34U65PYpQSnYA0JASqSCwiHX1CoG1wpKmcM9RbUPrDRjoCJQ065fH601v/JARaoPo5QKboSqDhd6AtLCZSEG5ho0R5exADAl1HLv7mT6olvzuONJVzhOyHLytQSoNTHo9A/fp0Bao5+HMLlaojgYZ74a29EKilT1Khcx5z6Lfy67vOONZA+otvJKhKE95rUL8/ufXSQP1Td/DShr4FGh4Hau+FQF1/ugY1ivzU5nzUbn12xtEEypmLtG4uJtAlC7ndv8n13z7+jDThj9gLH56J5OyFQAl/OgY1ivyszQftDpC+OJhAeevZLclTn2WuQJcM5J7IJkqfxf0Z7oX3CzTxB0ynzFx4dy8ESvnTNqhR5GeBPit9SLJTDjYTqbBAaYN69SkTqKHQQr1HIzyBTpqEQNWAQM/EsQTqWRHUUd6cXqcGSrvzBiVQYpu9ZavPrA8Xe2PxpvQ31w/UhH9rE9sLgZL+tAw650ETngsEasBowFs5hAJ9oeZPCBQCjZAnUHQihWELdHoRqlOdlz4zZQXK8KeWQF8o6VMg0DR/QqDJdCLQBfgzBFOgxg+qoVDpM1NUoBx/RgV6TcESqJY/IVAINEKuQDEONARPoJt+eIW5CdJnZneBEjLcQAiUUKqbTEufVy36NOoRaKI/IdBkOhHoVPH89AoGDcES6C/fLjX55+u/8l8qix+agr3wpIU1BOqmU6t+Ono0oRM05k/0wovhFranoEGfIgIdDIpGvB/uXPhFmoNMs39Q8UOzt0D9c90v1G5aoPaGAvqkDAqBQqADmQL9/IAqaADegsrmi0+Nxe3kTw3pT5WZSCKBpn/3OKv6OQSUadDG/ImZSGK4he0pZNAnCDQP5nJ2Xxp/Pua34TMeG9KfGnPhqVeg9gc9nEz7+vMmUL5BFQTabg00PBceNdAVW6Bpc+Eh0DDMqZxmo11hakLOc0P6s5RAr0dT9Wfuyku3gJgC9ezvRqCh1Zgg0BVHoLzVmPAOlMXxBEquB5rXhB9zRQ3q5JP70/dd44g/54DGvyIGVRGoz6Bqdi2yHuhbGwiUUCix3S3y2itZ9sbhmvAk1NvLgbzvwm+b8UTOoCyJ/Ys+Zf58aQUkE6hGFVSxglpENxCoASVQH3Mec9willQOcbROJJocgcb8uV2i2SRc23T23+f7U0WgaQalAo9XUPlAoFK4hS1ToF+Gjg0ONoyJxqs8xrMc96dUoN7qp9yfOgJNMigRd7yGmgAEKoVb2CQCBVwONpD+En8DmiZQhj+9Bg0L1O9PmUHdgCIC9a1nNzC7TyJQRhU1AR3dWC9DIVADCLQkgqmcCpPh5U9NbAxTowK93/hTIFAqoAyBrkwSlFZAmxCo0x0PgRpAoCU51mIinlGgcoGy/Jkv0K0+Ew1qnjIsUCs5S6AT4gporkEVdLMdr2RtgUAh0JIceDm7dXMlgXINeu/4s6RAbxmiB7IRV0DrC9QypbsN40Ah0GIcakFlz0z4xgVK+DNFoJszsgTKOpLFcWugrivJjRAoBFoCCFTuT55ACX2KK6AQqAsEGgECLUmKQD+90mrDy54Yz2qg1QQqrX7K/bm/QF09NiZQ4nWnu/UCgUKgZYgL9HGejPCgt0K17IkpIFBnCL5yBZTSZ4Y/IVAHUqDERggUAi1BTKBz9/uXN5FqGVT2xOwg0BR/MgRK+lP8AtQOKFWgIYNCoGpAoGciItDbEPob//PX41j6B43JsbInpoRAGTPhvYia7yn+dE+ZJ9CAQSFQNSDQMxER6PM4BWn06DgX6VFheqzsiVEXaFCcMX1GBUrrkylQzykhUBsIFNQkItCHSZuDQacZnNdGfa3VmHR74eVVzxmRP/MFuiTZw6DRlIzfKUSRXngIFOxEWKBXb06yXOud6zY5wkdGVaB0lVNLoJ7mO1egvjOGPukBgS4CRS+8AZrwJQkLdK1tPq9rMD3UW1CZ9qdIoE561SqoX58sgXpP+JTnT0E3Uiwl41cKgplIUriFDQItSVSgU5d7bwJ1M2gKNORPhkH9J3zK86dKDbS59UBdf+KjcgYQaEkOJVBfE16woLKOQGmDBprvHIGGzpfpTyWBtrYivetP16oQKARagi4Eml4DJXKoCTSiz6BBY+drw5+XZRW8fIqsB7psWjdDoBBoCY4kUMVhTAoCjbTeA/4MGDRyzkx/KgpUjSIflbugBroCgZYEAl1yJPnTp0aWP/0GjfwCTEka/+YevZY/C33WGO9AVyDQkkCgIoHG/BnWp1+hkV+AXb9c/2YevJY/M3RD9R0R+9ALD4EWJCpQij4F6vu4PEFa9ZNMX1agVJ7gkWv5U64bavQSvRMChUCL0ZJAra51ej8hUMeG6cOYnDpo8NFNq37SyQsI1Jebc2TCoPHksWNykOrGVaR/57lnIkGgJWlHoMToJF+KbUrXhSKBbjqSwo9ukj89SAQa8WdUkiGSaqCKdVQIVAq3sEGgJWlmRXpyfKc3iZGQVuGI+yzT7XWnEhp8coP6ZPpTINCYPvMEmmJQzVa+UDeEIsN7IVAItAStCJR8txlKIxKop72eWAfNr356u+EDZ437U1+gkWH0GgaFQKVwCxsEWpJGBOrpHQomGpNRHvQJlKxs+vA/uQr+TBcow5/qTXjajymvSuNoCXTjUAjUAAItyZkE6iRJNyhtQ2/z3TvcKVmBpf3Zg0BXhUKgBpQobw94TKCPKp/v6Zw2BOrpHuKk4guUSsMx6KjC5V/M6mcoQyGB5hjU489mF1SmBepZjAkCJfRJKtTMN6wBrPIJya6BQCMCNYyY4s8YiQpk+fNMAg0bFAI18PvTNaiZ79Orf/cfltkzwEMdgdr3zVEj+YKGTEWqj8pNJgoKdEgRNWFq7/uEZ1066sJ58vTlZuIVaDxlxlkz8Aj0Lb1zUEOd6yyHtLCFSoqZ7/Hui8f8tdN75/A1UHYvPJkoLFDGhzdl+nwxNfEZdUi+Ps9VA02qgl5QA6X9aRvUyPbz13fffHqV/wHJzoFAQwLl6jPdn1yBpvjzXAINGhQCXREK9Pnut3/95dv8D0h2ThsC5fXC06myBBp5CVrOn0yB7uXPw/XCD7CroMMGCJT0p2VQI9vD0AX/iG6kCBBoAKY/BfpkCjTJn6cTaHA0qL0FAk0T6NCCHzqS0I0UphGBsmYikanoquNEtBc+aFDeZ4tl/lQRKL3ap3Mgnl25/mxjJtKCT6BYkX5GJtCx7qnxCd6+aUWgnLnwZKpcgQYMGhRonj5Hf8YEGq9xullpn3IUyvVnE3PhF7wCtdarh0CTBHo1520Q/fMdupGCNCNQxmpMZKqQP5dnedxKpzGnv1spyvkzKtCIO12Duvk8G/xw/dnEakwLXn9ugUCTBDq33a8teXQjhWhHoPH1QMlUdN1x4smbZN68JrCTXhiffc/0p1egLH1OyTdupPdyDbqs8hmXo5I+IVA53ML2FDToEy3QR8XFK7umJYGKiAuUTuCktQ43/BHzp1SfMYFy/Rl7Z0psYBK9Re0INLw0/QIEmiLQzULA6EYKcHiBRnvhtzs21U/KoEZ1VHXuZoJA+f6MvDQtJtCWmvDhjyMtQKCkQZ9oga6vPtfPogGK7gVK7yFTOwT1mePPoEBT/LlVYqpv/YRvUUudSAMMf0KgpEHtXXOeh7Xz/RHdSCGOJ1DnTalAoJ7kNiF/5uhTUaAvzXeg2QLlvQNtahjTSEyfEChpUGfPlMXsOvr0Ct1IAY4mUKqvPiRQepe9zamcTv8u5c+QQNP8uVFjpkCZvfDcrnoe++lmpxMdQKDR9UDNCUi/fItupAAHEyg9WjRVoK5xl33bQ/j0metPr0DD8ou5MU+g3HGgEGiYIwjUx5hjHgQ68oxupADHEqhnvpKWQN84fUu0P3P1KRJoNEOmQAl/cmZy1ltMJA0IlC/Q7QROdCOFOJRAfTPmff5MFqiTktKngj/TBcpJn/XdY9KflB0h0AjHFyjg04NAafcNZAnUGkqv6c8kgRo/AAQqBgKFQEtwJIF+sBk3eyqPA55eeIlANfWZJFDzF4gm1fZny+uBpgGBQqAlOL5APeojJ8B7hjHFDZpV/SR686eI1AUaeUnqBwJVAwI9E90K1KtEX56QQHNX/swQ6OYXYKSV+TNBoOiFjwCBnonDC9RjvqA/U7uRslf+lAvU+gk4iad/QqAbIFAItASdCjTizwSBXjRWThYL1P4JElIXE2iLM5HiQKAQaAn6FCjp08uSPEmgKisn0/7kNMm3BL9xbKVN8WfKJz3amwvPAQKFQEtwDoHOWErl5FPxp0Cg9E/wtFkguZZAG1uNiQUECoGW4BQCTew7MnJpfPjoImrC0z/B03YN+nCOFH+mfBNpSR09JgMIVAq3sEGgJTm8QBOqoIn+vJKhz82Vawp0swZ9OEOKP1O+iaQJBCqFW9gg0JKcSKC7+pMl0GR/uoUznCHFn+ojPHlAoFKqlFxgcXyBsg1qb9rPn5RAA/JMEWjso8V8fQ6gBqoABHomOhAo06CcTZQ+3zhiTPanmyOiT6/ydiicOxsUApXCLWxowpekB4EmDGXaCjSUdfHnmzeEINP86QhU6s8dCufedVAIVAq3sEGgJTmSQNnL2fEIZjX8mSxQ98K1/AmBioFAIdASQKBRfyYZlL5wJX3uUDh370iCQKVwCxsEWpJDCZS9In2mQLf61BWo2J03uIWTdzSHCiOZIFAp3MIGgZbkWALlfhOJ7U8yq+1PTYHKK583eIWTf7wNhD4h0HQg0DPRg0BF/vTPTnL8qSjQnOb7AKtwphjZgPQnBJoMBHomjiVQcR/8zZiUP93crj/1BBrzp4pA0+q0C7Q/IdBkINAzcSiBisfRT8rc+tPdSOszqReevvBNksICTX0rMFHJnxCoGG5hg0BLch6BbtJ6Fma6UP7Mr4DyhzHFfgEIVAoECoGW4EgCJQfSc/25XQ90Y009f7JqoCGDxn6CeOFMPuSIx59owqcDgZ6JEwnUuyL9rNX7fH8yBeo1aOwngEClQKAQaAk6Fig5/X2E3EzqM3UaEn3lvOonBFoQCBQCLUHXAvUalEhNVz8VpnEOMPUJgZYDAoVAS9CvQIedT87uiyePx5/qAg37EwItBgRqcis+MYE+3t19Ed4Aji9Qn0Fv+57o1jpbnzr+ZNc/G+yFh0CTaV+gSwEKCvSXb+/ufvvX0AZwLIGmDGMa97k1UGppZb8/NQRq7rbl1r5AudnFQKBSuIXN70/XoGa+T6/+3X+4+ya0AXQg0A8fvPrkCtSrT40upM3+PQSqOxOJn18IBCqFW9gC/nQMauZ7vPvi8e53/whsAF0IlDDonIEjUH/1U6MGGvJnmSa8UKCV/AmBiuEWtpA/bYMa2X7++u6bT69+8yf/BvD5+AK9/YMWKCVEd1dIn/kC3e51fZna3t65Cc/NnAEEKoVb2IQCfb777V9/+fbuS/8G8LktgRovNv37LYN6BUoL0RZosPoZNij9baTtFVs7d6mBygRay58QqBhuYQv60zKoke1h6HF/NHqNnA3gc0sC3bbMgykYAg36c9kd9adcoNTOPQSafMiRWi14CFQMt7DJBDo02Id+o6XXyNkABpoRqP1uM5xki6tJrxDnY/H0GTDocBC/QOk8hxMo3oEK6EOgY1Xz2mSfe42cDWCgFYHaNUsKvkCj/hwMyvKn16DDMbwC9VnXdlvzAkUvfDpdCPQqytuY+ee7qdfI2QBuNCJQt20eSSGzqHlAnj59Bh2P4dnu8ycE6gKBSuEWNpFA56b6teH+Jb0B3DiIQKP6ZCnUOCCz+ulT6HwYbsWUNKjAdsUEiplIarQtUGYv/OPdwthr5GwAN9oQqOPC2H6JQc0DpuiTEOhynFSBvtiarYBAMZWTBgJNEei1nrnyDbUBjBxCoEx/+g1qn2/2J281Ua8+6SZ8yJ+GQYf8DQkU30TSonGBsmYirW86r+b8gtoARo4gULY/vQbdnm1pvjOXY6blefG9Ag0LdFLodIRU2xWcyomvcirRukA5c+Ef1r72x5s6nQ1g5IQCXfWpL1AmyxFKCFT4WWPUQJVoXqDx1ZjMnqJPr67/djaAiQMINMGfHoOaR7tPa75bBt1ctdify3FKNOHNw7JSjyS+A1WTKwQqhVvYXIFG1wM15xv98u31D2eDogyOzdkEmtT7flSBTgdmph1JEqhi/RQClcItbJRAfYw55jGfI893d/+LvQHdSDNnEKhxLEH10xTo9qobFmgyPn+SitRs4UOgUriFLV2g2/ma1+b7f2VvQDfSzAkEuh5J0nw3BWpd9VkFqvqOFAKVwi1s6QIFfPoX6HqgxM53R6D2VZ9UoJw2Ph8IVAq3sEGgJWlDoOGZSDn+NA5j9L6n+fNC6jNBoPR4+wsEeoFA5XALGwRakp4FunmW78X+dIbhz/Crmj0JlNPITwAClcItbBBoSRoRaHg1JmEF1HyWzcGfqRVQL0x9HkGg/GGgEGgECPRMNCLQYA00aFBzn2O+5Vne+DNNoIFHmCVPMuG8I9GfEKgYCBQCLcExBEob1N7nqm/6qNz91p9JAg09wh0JlO1PCDQGBHom2hCoz42hJEYqUp/rhz0sfaYINPwIc/15WIGyUuadGAKVwi1sEGhJDiJQT/N9wic/jz/ZAg08vcHKZy8C5aXMOzEEKoVb2CDQkhxCoLQ+owLd6NPwZ75Ao/qMzVmatrfTicTVJwQaBQI9E0cQqM+fYYFu/bmxYa5AU/3p5Jg3NyxQhZQsIFAp3MIGgZbkAAL1+vPDvJ+W35vtd+OMI2YKNN2f7QvU9mJAN6r+hEDFVCm5wKINgXp64f3qNJIx/TnpkOvOgEDT9QmB+oFApVQpucCiYYHG9Dkm864fYjbf541J+hQI1PuwFxQor/cpztafId1o+hMCFVOl5AKLRgRKzESK+3NI6F/Azln5s7w/vQL1JcwXKL8DP4ppxbBuFP0JgYqpUnKBRSMCdauWHH+GBOounJzqzx0Emj2MKSVvFMOKEd3o+RMCFVOl5AKLVgXK8ueAR32ShedZ/uRPPwrlmXdkCjQtc5xFilHdKOkTApVTpeQCizYE6lYt8wRKfbhDpQEftOfuAk3NzadH3ex0Igj0VDQqUD4hfyYqM+rPmD69BvUly3wHCoHy6TEiUJ8eBUr6U6ECyvDnrgJNzs2nR93sdCII9FT0J1Bj7ubGh4kCdQ3K8ScEmgoEKqVKyQUWhxeobVB65eRLukBtg7L8CYGmAoFKqVJygUVvAt0uHTKtB5ouT8KgEGgRIFApVUousDi+QE2D2ksvjc+yTJ+WQHn+ZHbDL9tTDQiBSukxIlCfDgS6GnTpPdo8y1J/bg2aJVBvsiyBohc+gR4jAvVpQ6AqBjUGf5rPstyfy2GY8mRXQH1V0HihgUCl9BgRqE8XAr0plFq67ilHn/Nh+PoUCDRxMmbhmUgLPepmpxNBoKeiG4G6K9ddsmqfy2EU/BkSaNpyIEXnwhv0qJudTgSBnoo2BJrtT2vu5nTYTH/eDqPhz6BAkxakK7kak0mPutnpRBDoqehDoO7KdQPN+DMi0AQKrge6oUfd7HQiCPRUdCFQZ+7m7aC5/hwOw/Nm3IlK/oRuxPQYEahPBwIlll66HTRfoOx6Z7R0QqA+EJGUKiUXWCgI9OPrK3+ktn/vy2I/C2FDhndTS4cMx8z3J0+gN6KlM9WfnoY5mvBSeowI1CdfoO9e3/j9363t//qzkkDDu+mll1T8mSDQuBST/OntGkInkpQeIwL1yRboj68HT/703es//HOz/epPFYGG9hIfPpoFquFPSqC3y5UYNEWg/sFJGMYkpceIQH1yBTrXM68G/Yu5/fp3vkCDO4f9vpWTi/nzJj9JHTTFtYHh8RhIL6XHiEB9cgX6cW67v9u8Br226//jf9ERaKB2qrHyfJpAhwvy+DPoxRTXhiZoYiqnlB4jAvXJFei7uen+o/kW9Fr//P7XH9gClVVA16WXDi5Qy34QaAl6jAjUJ1OgV0tOFc+Pr//tb8vmn/7zPz/zBeptoYd2Lv68KL3w5Bh0uCCvP4UzkWz/vbQxD4Tl7KT0GBGoT75AJ0v+9J0h0O2uG68NtsfwGTK4d6l+XpOU8qcj0NsFBQTq/ZkCKQ3/ORvMzQT8lACAImQKdB2rJBaot4rp37OTP22BjterK1BXgBAoAIdBUaDbbnh2Ez6gyag/h/zl/LkV6Hy9AYES7axxuzcl0QZHE74IPUYE6rNbDXSD8Rhk6PP+9pZ0J4EuF5wi0GhKCBQClZJXcoEOu70D3WA8BnJ/Dv+Wfa04x58hg9qPeKo/SYNujoheeCk9RgTqo9gLb03mLCVQ059tCzSeEAKFQMXklVygg+I4UGsuZxmB3m/8WVSgXjmq+dPTCA9YETORpPQYEahPoZlInwsJdKvPogIN2DFToGsSWqCYC1+AHiMC9Sk1F75ML7ztz3SB3k4pEWjcoNbzzfCntxvIa0WsxiSlx4hAfYqtxlRAoPeOP2sJdFmE3u9PYuiSm8wnUKwHqk6PEYH66K4HepXm4lH2VE6WPC/r0nXbzQJ/5rfhV/y7YzXUAb9APUA3UnqMCNRHd0V6kUBZBqX9mSrQ+YxqAk2qgbpAoIhITH7JBfk08U0khj+J5vtUMS3lT45AQwmqCjS3Xd+jbnY6EQR6Kg4iUFqfaTOR1vNJBEo9wmFDMgRcSKD5PUs96manE0Ggp6IFgbL1afszrQK6nrAZgSYPhWd1IqUc0EOPutnpRBDoqWhAoFn+3Eug1BMca6TH/ZkvUCKrU60VaLRH3ex0Igj0VNQXKNuf7p4hezmBvonpLybQ+IfkspvwRFbXnwKF9qibnU4EgZ6K5gXqrX6WF+ibiP6iAg0MchrJFSiVlxRoqkF71M1OJ4JAT0V1gYqrn6NAP5QU6IUY+24QF2jkALkCpTLT/kw1aI+62elEEOipaFygQX+O34xP92eCQINwBBpmR4GmGbRH3ex0Igj0VDQt0FDzfRQo358CgUYf4Vx/ZgqUzA2B0vQYEahPywKN6DNNoOaj14xA83qmSupgAAAWPUlEQVTh0wSaZNAedbPTiSDQU9GwQKP+TBHo5tFT8idroFIYCBQClVKl5AKL6gL1GTTWfE8TqPXsKfmTMVApRqLiGN9EgkBJeowI1KdVgTL0yReo8+xp+TM+UClKmuEgUCk9RgTqU1+gpEFZ/uT1whOPXjB5ij4HbvrMKJ1JguN8EwkCpegxIlCfBgTqGpTTfF9I06dWzdN+lkXZJhL0xvqoXL4/u9TNTieCQE9FCwK1DZqiz5BB3Wc5qk+ZP/crnbyPykGgLj1GBOrThEC3Bk30p9+gw7O8sWLcnwcTqPcNaqY/u9TNTieCQE9FcwJdmu8JH0vyynDrRYY/qzThE0j7qJzYn13qZqcTQaCnojWBLvpcNnPWW4758+ZFlj+PJtDwG1SpP7vUzU4ngkBPRRsCXRy58ae1L1mgfp32JNAwIn32qZudTgSBnoqmBHpP+VNcAeUJs3OBCulRNzudCAI9FS0JdO09cvclCzT5i/EQqEGPutnpRBDoqWhDoJY/Z4PeNssEKvUnBHqjR93sdCII9FQ0I9Dt4PlpIxPSghBoBj3qZqcTQaCnohWBWoM/Lyn+hEDV6VE3O50IAj0VrQj0w3bwfJI/IVB1etTNTieCQE9FWwJdlJjkT9egwzEh0Ax61M1OJ4JAT0UzAv2wmbupIFD0wmfQo252OhEEeiraEWgWhxBo1rqhI9CNlB4jAvXpRKAfHAvK9FlQoNlLLw9AN1J6jAjUpxeBfrAsKPVnMYFmf/zjBnQjpceIQH26EehGoQF/DqerINDsz8+NQDdSeowI1KcjgdoWFQpUotFo6cz/APIIdCOlx4hAfRoVqFSpLH/qr6wMgYpBRFKqlFxgcUqBMvyZZtBY6Xxhk3JwE+hGSo8Rgfo0IVChLaX+1F8ZFAIVg4ikVCm5wKIFge7tT24XfcqzHN4PgXpBRFKqlFxg0YBAd/cnBBqlR93sdCII9FTUF+ju+vQJ1N2c8CyH90OgXhCRlColF1j0IdDEqqQnQTmBohfeCyKSUqXkAovqAtXwJwSqTY+62elEEOip6EKgif6sIFDMRPKBiKRUKbnAogeBvnkT1Kj76FUQKObCe0BEUqqUXGDRgUDfLB5l+tNrSqk/sRqTHEQkpUrJBRaHF+ibN+u/ePqsJFCsB0qCiKRUKbnAorpA8wx6lZ6hUkeAnmfZq1mhP1EDlYOIpFQpucDi8AI1/nCtmCjQkjVQvAOlQURSqpRcYHF0gZp/tCxQ9MJ7QERSqpRcYHFwgW5x9Od7lln+xDjQPUBEUqqUXGBRXaCK/twuSh96liHQCD3qZqcTQaCnoi+BfrDc532WSU+WEyjmwntBRFKqlFxg0ZlAJ4XGn2VKkxDoQo+62elEEOip6E+gzGeZsCQEutCjbnY6EQR6KnoT6BuuQC/u1+Mg0IUedbPTiSDQU1FdoNovQXOeZak/IVA5iEhKlZILLDoT6Js2BYpeeC+ISEqVkgssqgu0pD+Tn2WhPyFQOYhISpWSCyw6EejNeB+GqZ15z7LMn5iJJAcRSalScoFFFwJdpJctUKpznvUsR5Oo+BO6EdNjRKA+PQjUqDZaBpU8y+n6xGpMGSAiKVVKLrDoQKCBF5dtlc5sfbYWkAaISEqVkgssqgtUYUVlv0G7K53dBYSIxFQpucDi1AKVtNY9z7LGURhAN1J6jAjUp75AMw36xob9LMv6izzPcv4xWEA3UnqMCNSnAYHmGVQsUOGIJc+znH0IHtCNlB4jAvVpQaAZBr0Qn5LjPcuBrifJs5x7BCbQjZQeIwL1aUKgcoMSK4CYOmQtZ6dgUAhUDCKSUqXkAotjC/RCCnTVIQQqpEfd7HQiCPRUnFSgoXa/6FnOy88GupHSY0SgPk0IVOpPTxOesSI9BBqmR93sdCII9FS0IFC5PyHQQvSom51OBIGeigYEmuFPCLQQPepmpxNBoKeivkBz/Bl7CQqBCulRNzudCAI9FYcXKDEQNPGrnPn+hEDlICIpVUousKgu0Fx/EnORMIwpmx51s9OJINBTcWyBfrhllwgUM5GC9KibnU4EgZ6Kgwt0xFudxFx4IT3qZqcTQaCnoguBbhXKfZb1/AmBykFEUqqUXGDRiUANhSY8y0r6hEAzQERSqpRcYNGNQCeF1nqWdzpRdwEhIjFVSi6w6EigN2o9yzudqLuAEJGYKiUXWFQXaOY4pqA/+yud3QWEiMRUKbnAonmBhhNAoGXoUTc7nQgCPRX1BRoWZHR/yJ/9lc7uAkJEYqqUXGDRgEADhuTsN/5EJ5IWPepmpxNBoKeiBYF6DRnZPSUw/Zk2jEkNCFQMIpJSpeQCiyYESisyuNNNkTyQXhEIVAwiklKl5AKLRgUa3EmkEkzl1AQCFYOIpFQpucDi0AJdkgkWE1EFAhWDiKRUKbnAAgLVAAIVg4ikVCm5wOLYAp3Sedez6650dhcQIhJTpeQCCwhUAwhUDCKSUqXkAos6An2ycMQY3OmkcwRqH780bkQHp7uAuowI1Ac1UA1QAxWDiKRUKbnAAgLVAAIVg4ikVCm5wKINgYbXBIn5E73w6vSom51OBIGeCghUAwhUDCKSUqXkAotGBBpeVCnmT8xE0qZH3ex0Igj0VLQi0EvAn4kGNfJ1Vzq7CwgRialScoFFMwK9BPzpNaiRgvJnf6Wzu4AQkZgqJRdYHESgPoWaKRx9dlg6uwsIEYmpUnKBRTMCDTbhiUSxpDe6K53dBYSIxFQpucCiFYHytAiB7nSeHnWz04kg0FPRiECZXoRAdzpPj7rZ6UQQ6Kk4jEDj70AJuiud3QWEiMRUKbnAog2BRsVI6zPmz/5KZ3cBISIxVUousDiGQD3+hEBL0aNudjoRBHoqDiFQqT/7K53dBYSIxFQpucDiCAL1+RM10GL0qJudTgSBngoIVAMIVAwiklKl5AKLNgQa7IX3+xO98KXoUTc7nQgCPRUQqAYQqBhEJKVKyQUWjQg0NBMJAl3pLiBEJKZKyQUWrQg0MBceAl3pLiBEJKZKyQUWzQjUvxoTBLrSXUCISEyVkgss2hHoZErfdok/+yud3QWEiMRUKbnAoiWB+oBAF7oLCBGJqVJygcURBIqZSAvdBYSIxFQpucDiEAKVLcV06bB0dhcQIhJTpeQCi2MI1OxhSvBnf6Wzu4AQkZgqJRdYHESgmx4mrj47LJ3dBYSIxFQpucDiMAIV0V3p7C4gRCSmSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYQqAYQqBhEJKVKyQUWEKgGEKgYRCSlSskFFhCoBhCoGEQkpUrJBRYKAv34+sofORsXdnrE+iud3QWEiMTkl1yQT75A372+8fu/Rzeu7PSI9Vc6uwsIEYnJLrlAgWyB/vj69fefP//03es//DOy0WCnR6y/0tldQIhITG7JBRrkCvRffx5UeZPlX8IbTXZ6xPornd0FhIjEZJZcoEKuQD/OzfR3xhtPcqPJTo9Yf6Wzu4AQkZjMkgtUyBXou7mV/qPxwpPcaLLTI9Zf6ewuIEQkJrPkAhUyBfrrD3Md8+Prf/tbaOOGnR6x/kpndwEhIjF5JRfokC/Q78d//fSdKVB342uDvHMCAEAbZAp07i7auJLc+Lpng3YXUXcBISJQBEWBLj3u5EaD/u58dxF1FxAiAkXYrQZq0N+d7y6i7gJCRKAIu70DNejvzncXUXcBISJQBMVe+GXEErnRoL87311E3QWEiEARFMeBrtM2yY0r/d357iLqLiBEBIpQYyZSf3e+u4i6CwgRgSLUmAvf353vLqLuAkJEoAg1VmPq7853F1F3ASEiUATd9UB//WFSZnA90P7ufHcRdRcQIgJF0F2RfhFocEX6/u58dxF1FxAiAkWo8U2k/u58dxF1FxAiAkWo81E5AADoAAgUAACEQKAAACAEAgUAACEQKAAACIFAAQBACAQKAABCIFAAABACgQIAgJDSAiWndG43hmZ9Nkg0ol9/mD6dR66k0h6+3//j/F2BPm7RZyOio90iOqIfj1yMeqGwQMlFRbYbg+uOtEc8on/9+VCl0/f7r1+26uIWfTYjOtgtIiOaY5g+mnOwe9QNZQXKWOsuvPJdczAi+um7Y4Qy4vv9h/L5fThJozAiOtYtIiO6VqIHdR60GPVDUYEyVluOrL3cGpz1oz8eqSHl+/2vf8+66eEWfd5EdKxbREf0cap6HrIYdURRgTK+9xH5+kdrcL5g8uP67rB9PL//tUH4H//LFEcPt2gb0bFuER3R/N2x8QuOB7tHHVFUoMbH5dZ3M9uNZJJ2YUT0+R31KedWoX//a0Xm++Xj1D3com1Ex7pFvofuj8Y/DnaPOqKkQM3PG5sfjTc2kknahRHRtTX1+//nz0fpEPX8/j/9539+nnXTwy3aRnSsWxS5AbfG+8HuUU8UFujy0t7UjbGRTNIujIjGd21H6RAN/P6GQA9/i6xdh7pFkRtwM+bB7lFPlBToOmzEuK3bjWSSdmFENIzHuzWn3h2hQzTw+8+FsodbNLJo5lC3KHwDrjuvMRzsHvXEXgJdOge3G8kk7cKIaHkLdS2uBw1ohBJoHxEd6xYFb8B13xDKwe5RT6AGmgKnBrpwhA7Rc9ZAF45wi0IRXXfdthzsHvUE3oGmwHkHuvDjARqI53wHunCEWxSIaJga8JdwElCYvXrhl9f1241kknZhRLQmPkLpDPz+VC/8UW/RsuugAqUjujbXJ1se7B71xF7jQNcHdbuRTNIujIgWDhGR//enxoEeICBORAuHjmj15+HuUUdgJlIS8YiM0dpHmO7i//2NPuvj36Ib7kuJQ9wiT0RXf66VzYPdo47AXPgkGBHNdYB//fkIb6P8v78x7Pz4t+iG0Qt/pFvkfeiMxvrB7lFHYDWmNOIRXf8zVALW11Jt4/3913paD7dowBxIf6RbREb043bK0cHuUT+UFehmlcLr8zre3W7WA6Uj+jhNczlG4aQD+rx5Y9jDLfpsRnSwW0REtKxoOkdxsHvUDYUFaq6TvT7LvaxI74loXO/8ME0pMqBtl0sPt2gT0cFukRvRMht12X6we9QLpQUKAADdAoECAIAQCBQAAIRAoAAAIAQCBQAAIRAoAAAIgUABAEAIBAoAAEIgUAAAEAKBAgCAEAgUAACEQKBH4/Fuyxd0sp//1+F/f/n27rd/TT7FmDeU4Ou73/3j+t/nu7svk48OQD9AoEeDJ9CH0WwigT5ErQiBAnADAj0aLIHOZpMIlGFFCBSAGxDo0bgK9JtoohyzQaAAcIFAjwYECkAzQKBHAwIFoBkg0KPhEeiz8UL0eXo9+s38DnQU3vD29Dd/mo5hHuXhlnrcteZd/1pTXg80nCQoUDvPs/Wq1v4bgOMCgR4NUqCfXs19SoPQSIH+f9/OCW4WXB229koNUjQFuhx17oiakv7u//ULdD74nGd7Ze7fABwZCPRoUAJdrDWajxTof5o2/uZ//9ZIuu3V/3Ij0NV1kw2XpP+1V6DGldzyWFfm/A3AoYFAj4Y1jOkmssdJV1dfbs22CvRu/cftX4MdhyrosOWWdPiHnXds1j/frUmXSqpHoA9T1fJxymNfmXOlABwZCPRoUAJ9mKtz87hPQqCjrp7vjH9NNpya8lelbvI+L4q7Zh9M+jhvGORLC/S6Z3yVOv/LvjLnSgE4MhDo0fDUQLfVOUKgo7cmF47/2hps3jDnfZhTTpuux5o3PPoE+rj2Dj3e9tlX5lwpAEcGAj0a1DvQZ/uloivQSZbUvz5PKe82Ap172geu1ckvzAzXv2mBPqwXccvjXJlzpQAcGQj0aJC98A9GN9BAkkCfl+qsJdBtTdcwqm8Yk1FJnSVrX5n9NwBHBgI9GvQ40LVhP7+/5ArU6GvfCNTcfhPoXO38HBToUqud01hX5vwNwIGBQI+GbybSUmOcRoIyBTpn++1frXeghi+XEwhqoPaVEX8DcFgg0KMRmsp5U9PUt84U6OOdvWttwtOdTJ9570CfN7ONlivz/A3AIYFAjwYhUKPlPFmOLVCjzvi8bcIPvUrfWGeZN3B64R+mnvvNlblXCsCRgUCPBlUDfTCbx0KBDnXCzTCmtW46bVqGIDlj7heocaCbK3OuFIAjA4EeDd8wplvNb1DbF5/XQfDxJvzDpMlb38488eiW99bKvp3qYdwzK/bWvcSYiTTPWjKvzLlSAI4MBHo07BXpb457WP80uta/YQj02TzUTaBz3s2uuW9/5L9bO5EMzD6p+UKcK7P/BuDIQKBHgxToL8sCIWMLevz7S84wpsVo//235rG2I5nW4aUD5mpMlkCd1ZjoK1v/BuDIQKBHgxToIq65dX/z1BesgfSjJr9c+82nvOvJ1qb2tOtnv0A9a4gaG+y/ATguECgAAAiBQAEAQAgECgAAQiBQAAAQAoECAIAQCBQAAIRAoAAAIAQCBQAAIRAoAAAIgUABAEAIBAoAAEIgUAAAEAKBAgCAEAgUAACEQKAAACAEAgUAACEQKAAACIFAAQBACAQKAABCIFAAABACgQIAgBAIFAAAhECgAAAgBAIFAAAhECgAAAiBQAEAQAgECgAAQiBQAAAQ8v8D8cbsSkQvI8MAAAAASUVORK5CYII=" title alt width="672" /></p>
+</div>
+<div id="estimated-loss-on-borrower-rate-facet-by-term" class="section level3">
+<h3>Estimated Loss on Borrower Rate, facet by Term</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Borrower Rate is positively correlated with estimated loss. Higher prosper rating borrowers have lower borrower rate. We can see clearly that different prosper rating is associated with a specific borrower rate. Loan with term of 36 months have borrower rate most dispersed, maybe because most loans have term of 36 months. The other terms show perfect correlation.</p>
+</div>
+<div id="what-affect-the-difference-between-borrower-rate-and-borrower-apr" class="section level3">
+<h3>What affect the difference between borrower rate and borrower APR</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<pre><code>## dt$Term: 12
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   0.935   5.728   7.772   6.614   7.945  14.930 
+## -------------------------------------------------------- 
+## dt$Term: 36
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   1.423   2.816   2.592   3.708   6.395      25 
+## -------------------------------------------------------- 
+## dt$Term: 60
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   0.215   2.319   2.408   2.385   2.524   2.798</code></pre>
+<p>It’s clear that the difference between borrower rate and APR is determined by term. 50% of Loans with duration of 1 year has range from 5.7% to 7.9%; 3 years from 1.423 to 3.7%; and 5 years from 2.3 to 2.5%. This difference also fluctuates with Prosper Rating. We can see that only loans with high Prosper Rating can apply for term of 5 years from the chart below</p>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## dt$ProsperRating..Alpha.: HR
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.210   3.746   4.027   3.874   4.027   6.395 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: E
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.174   3.631   3.891   3.721   3.948  10.080 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: D
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.131   2.604   3.542   3.416   3.825   9.927 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: C
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.095   2.440   3.393   3.169   3.722   9.835 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: B
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   1.376   2.321   2.730   2.958   3.626   8.430 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: A
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   1.340   2.252   2.788   2.597   2.819   7.674 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: AA
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   0.215   0.343   1.336   1.092   1.346   3.562</code></pre>
+<p><img 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" title alt width="672" /></p>
+</div>
+</div>
+<div id="number-of-investors-sponsoring-a-loan" class="section level2">
+<h2>Number of investors sponsoring a loan</h2>
+<p><strong>What draws investors to a loan</strong></p>
+<p><img 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YcdaXaAUQICMedwfQLxLAvnAvHJkIan54tdxIxA7C5Opf3qKkpnFgKxVrgwG4EYB9X4QSBKGbkiBGLpdD1LtzpgACW2MQOBKGo80WAEYsNcSQfoFGbUYUeaHWCUgEDMOVydQHxaXKZ88hH35q1TTrdTKXUKIgKxuziV9qurKJ1ZCMRa4cJsBGIcVOMHgShl5IoQiKXT9Szd6oABlNjGDASiqPFEgxGIDXMlHaBTmFGHHWl2gFECAjHncGUC8XKv5X/94UwgHn8B8e3Pri96KvgriAjE7uJU2q+uonRmIRBrhQuzEYhxUI0fBKKUkStCIJZO17N0qwMGUGIbMxCIosYTDUYgNsyVdIBOYUYddqTZAUYJCMScw3UJxLM/fOfLv8wF4sIYHl9l+MSsIBC7i1Npv7qK0pmFQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMOVygQX55vumwIxPvFNcvHv79yTiAGgdhdnEr71VWUzqygQByTuzvxot1TpE68+nrXC+7uMtQPN0puzU1vlWOQb57j43RDHkr/s5rmT4vx7AL8L+60HTaVlfCWxLzU/Q8r+14bwIWwcVaGn5/2tbgkGNZY38DXV9xN+F6m671KKzfp1QW3RME6lL1/SSAQSw1XJxBPP3U4F4h//nQhDB/L/QgiArG7OJX2q6sonVnjHu68IBDBAIEIRxCIJUEgws5BII4KArHAqxGIvYFALDVcmUD8n8//3xaIs0uWH817quQFgdhdnEr71VWUzqxxD3deEIhggECEIwjEkiAQYecgEEcFgVjg1QjE3kAglhquRSC+nvHHHx8O7/5m+tufPjocfvQr4+k/HMynQSnBFoAd4DsenBj3cAcAAAAAAABbQSCWGo5AhF4JtgDsAN/x4AQ3UakVLsyuFB7XAfkKmwXnmIdq/MRVs6EFNuXEVZJnJiqKYPY50tsBTfdjutP1LN3qgOTSt1RbIyT9PagR0t/Wkh8FNoQukfyDaRU8TK6kAzIc3bIc2KhDUseiA74+/c8cx0OOx0oNj5vSWIHW4ZHbTjjcfmzRAXOxMBeIx7/NBOL8aVBKsAVgBzyHQCDWChdmIxDjoBo/CEQpI1eEQCydrmfpVgcMoMQ2ZiAQRY0nGoxAbJgr6QCdwow67EgDBGKz4QhEaESwBWAHPIdAINYKF2YjEOOgGj8IRCkjV4RALJ2uZ+lWBwygxDZmIBBFjScajEBsmCvpAJ3CjDrsSLMDjBK4hDnncC2XMM+Z30Tlj2/+9s6X7qdzs6o1dOdpjKtZc8WsQZdV6SYqD24QiA2yEYhxUI0fBKKUkStCIJZO17N0qwMGUGIbMxCIosYTDUYgNsyVdIBOYUYddqTZAUYJCMScwxGIaSAQu4tTab+6itKZhUCsFS7MRiDGQTV+EIhSRq4IgVg6Xc/SrQ4YQIltzEAgihpPNBiB2DBX0gE6hRl12JFmBxglIBBzDh9BIP7p44VAfDogEPcTp9J+dRWlMwuBWCtcmI1AjINq/CAQpYxcEQKxdLqepVsdMIAS25iBQBQ1nmgwArFhrqQDdAoz6rAjzQ4wSkAg5hw+rEB8EZxgMwjE7uJU2q+uonRmIRBrhQuzEYhxUI0fBKKUkStCIJZO17N0qwMGUGIbMxCIosYTDUYgNsyVdIBOYUYddqTZAUYJCMScw0cQiH/+9HB4+zPj6UcE4o7iVNqvrqJ0ZiEQa4ULsxGIcVCNHwSilJErQiCWTtezdKsDBlBiGzMQiKLGEw1GIDbMlXSATmFGHXak2QFGCQjEnMNHEIiv7w+Hwyvj6aNAfBmcYDMIxO7iVNqvrqJ0ZiEQa4ULsxGIcVCNHwSilJErQiCWTtezdKsDBlBiGzMQiKLGEw1GIDbMlXSATmFGHXak2QFGCQjEnMOHEIgLYfjNpwuhmBEEYndxKu1XV1E6sxCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvS7ACjBARizuFDCMTFTVP++vHikuaMIBC7i1Npv7qK0pmFQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMOH0IgLoxhwZswIxD7i1Npv7qK0pmFQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMOH0IgPt+bd0056sRSP4GIQOwvTqX96ipKZxYCsVa4MBuBGAfV+EEgShm5IgRi6XQ9S7c6YAAltjEDgShqPNFgBGLDXEkH6BRm1GFHmh1glIBAzDl8DIF4POdwMoinX0B858vg+O0gELuLU2m/uorSmYVArBUuzEYgxkE1fhCIUkauCIFYOl3P0q0OGECJbcxAIIoaTzQYgdgwV9IBOoUZddiRZgcYJSAQcw4fQyCepOHZGp5cYrETEBGI/cWptF9dRenMQiDWChdmIxDjoBo/CEQpI1eEQCydrmfpVgcMoMQ2ZiAQRY0nGoxAbJgr6QCdwow67EizA4wSEIg5h48hEE8PGJT6BUQEYodxKu1XV1E6sxCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvS7ACjBARizuGDCMTLiYcXil3AjEDsME6l/eoqSmcWArFWuDD7FH53Vzo8rgOswuRIN8/ETqq529IKCEQpvVa0qR2W7Eogbtpimg9eCMRtGQoFoqe3k0LkR4ENoUsGEohx+5uxBWLSPjfLoVanuOuljmUHGCUgEHMOH0Ugnm+dcuZFcKwMBGJ3cSrtV1dROrMQiLXChdkIxDh2Ug0CMYnRK0IgpqYjENeyZh2AQCwakndrIRAbBntyEYgIRG11LDvAKAGBmHP4MALxqhBL6kMEYodxKu1XV1E6sxCItcKF2QjEOHZSDQIxidErQiCmpiMQ17JmHYBALBqSd2shEBsGe3IRiAhEbXUsO8AoAYGYc7hOgWigUXn1m6cxTqX96ipKZxYCsVa4MLtSeFwH5CtsFpxjHqrxg0CUMnJF+xKILdL1LN3qAARi0ZD+tpb8KLAhdMlAAlFfrqQDdAoz6rAjzQ4wSkAg5hyOQEwDgdhdnEr71VWUziwEYq1wYTYCMQ6q8YNAlDJyRQjE0ul6lm51wABKbGMGAlHUeKLBCMSGuZIO0CnMqMOONDvAKAGBmHM4AjENBGJ3cSrtV1dROrMQiLXChdkIxDioxg8CUcrIFSEQS6frWbrVAQMosY0ZCERR44kGIxAb5ko6QKcwow470uwAowQEYs7hCMQ0EIjdxam0X11F6cxCINYKF2YjEOOgGj8IRCkjV4RALJ2uZ+lWBwygxDZmIBBFjScajEBsmCvpAJ3CjDrsSLMDjBIQiDmHIxDTQCB2F6fSfnUVpTMLgVgrXJiNQIyDavwgEKWMXBECsXS6nqVbHTCAEtuYgUAUNZ5oMAKxYa6kA3QKM+qwI80OMEpAIOYcjkBMA4HYXZxK+9VVlM4sBGKtcGE2AjEOqvGDQJQyckUIxNLpepZudcAASmxjBgJR1HiiwQjEhrmSDtApzKjDjjQ7wCgBgZhzOAIxDQRid3Eq7VdXUTqzEIi1woXZCMQ4qMYPAlHKyBUhEEun61m61QEDKLGNGQhEUeOJBiMQG+ZKOkCnMKMOO9LsAKMEBGLO4QjENBCI3cWptF9dRenMQiDWChdmIxDjoBo/CEQpI1eEQCydrmfpVgcMoMQ2ZiAQRY0nGoxAbJgr6QCdwow67EizA4wSEIg5hyMQ00Agdhen0n51FaUzKygQvy5AqXm7D9ex8Aod4A+ul7bGnqtp1gLOShrGO9hHRcEOaLsJdpxeM1y+D6hS7TAh/S0k11Gg2T+ZVsHD5Db+HNDLoXbHdSw6AIFYajgCMQ0EYndxKu1XV1E6sxCIe8hGICay52qatYCzkobxDvZRUbAD2m6CHafXDJfvA6pUO0xIfwvJdRRo9k+mVfAwuY0/B/RyqN1xHYsOQCCWGo5ATAOB2F2cSvvVVZTOLC5hrhUuzOYS5jioxg+XMEsZuSIuYS6drmfpVgcMcFHuxgwuYRY1nmgwlzA3zJV0gM5LdqnDjjQ7wCgBgZhzOAIxDQRid3Eq7VdXUTqzEIi1woXZCMQ4qMYPAlHKyBUhEEun61m61QEDKLGNGQhEUeOJBiMQG+ZKOkCnMKMOO9LsAKMEBGLO4QjENBCI3cWptF9dRenMQiDWChdmIxDjoBo/CEQpI1eEQCydrmfpVgcMoMQ2ZiAQRY0nGoxAbJgr6QCdwow67EizA4wSEIg5hyMQ00Agdhen0n51FaUzC4FYK1yYjUCMg2r8IBCljFwRArF0up6lWx0wgBLbmIFAFDWeaDACsWGupAN0CjPqsCPNDjBKQCDmHI5ATAOB2F2cSvvVVZTOLARirXBhNgIxDqrxg0CUMnJFCMTS6XqWbnXAAEpsYwYCUdR4osEIxIa5kg7QKcyow44EWEej8uo3T2OcSvvVVZTOLARirXBhNgIxDqrxg0CUMnJFCMTS6XqWbnXAAEpsYwYCUdR4osEIxIa5kg7QKcyow44EWEej8uo3T2OcSvvVVZTOLARirXBhNgIxDqrxg0CUMnJFCMTS6XqWbnXAAEpsYwYCUdR4osEIxIa5kg7QKcyow44EWEej8uo3T2OcSvvVVZTOLARirXBhNgIxDqrxg0CUMnJFCMTS6XqWbnXAAEpsYwYCUdR4osEIxIa5kg7QKcyow44EWEej8uo3T2OcSvvVVZTOLARirXBhNgIxDqrxg0CUMnJFCMTS6XqWbnXAAEpsYwYCUdR4osEIxIa5kg7QKcyow440O8AoYZrI8ZDxmPkqbqKyvlDv8Lgo6XD7Zc+RaFRe/eZpjFNpv7qK0pmFQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMORyCmgUDsLk6l/eoqSmcWArFWuDD7FH53Vzo8rgOswuRIN8/ETqq529IKCEQpvVa0qR2W7Eogbtpimg9eCMRtGQoFoqe3k0LkR4ENoUsGEohx+xsE4ixePIm7jqR9f8E6kmhQx7IDjBIQiDmHIxDTQCB2F6fSfnUVpTMLgVgrXJiNQIxjJ9UgEJMYvSIEYmo6AnEta9YBCMSiIXm3FgKxYbAnF4GYSJZDLQJRUseyA4wSEIg5hyMQ00Agdhen0n51FaUzC4FYK1yYXSk8rgPyFTYLzjEP1fhBIEoZuaJ9CcQW6XqWbnUAArFoSH9bS34U2BC6ZCCBqC9X0gE6hRl12JFmBxglIBBzDkcgpoFA7C5Opf3qKkpnFgKxVrgwW3buTHR4XAe4CxMh3TwTu6omsRUQiFL6rkh4HuI+BWLKRtN88EIgbsvQLhBv/Z0UIj8KbAhdMp5AXNnbIBBn8fGv9mxWneKulzqWHWCUgEDMORyBmAYCsbs4lfarqyidWQjEWuHCbARiHLuqBoEYyT4qQiBuSEcgerJmHdCTEhOFIBDjK5IdBTaELkEg5spdAYGYqQ4POutYdoBRAgIx53AEYhoIxO7iVNqvrqJ0ZiEQa4ULsxGIceyqGgRiJPuoCIG4IR2B6MmadUBPSkwUgkCMr0h2FNgQugSBmCt3BQRipjo86Kxj2QFGCQjEnMMRiGkgELuLU2m/uorSmYVArBUuzK4UHtcB+QqbBeeYh2r8IBCljFzRTgVixXQ9S7c6oCclJgrZnUDcGCI/CmwIXTKeQFSUK+kAncKMOuxIswOMlNqPrwAAIABJREFUEhCIOYcjENNAIHYXp9J+dRWlMwuBWCtcmI1AjINq/CAQpYxcEQKxdLqepVsdMIAS25iBQBQ1nmgwArFhrqQDdAoz6rAjzQ4wSkAg5hyuRSAelrzz5fmJmY/4y4fzF716zg0Csbs4lfarqyidWQjEWuHCbARiHFTjB4EoZeSKEIil0/Us3eqAAZTYxgwEoqjxRIMRiA1zJR2gU5hRhx1pdoBRAgIx5/CxBOLTAYG4uziV9qurKJ1ZCMRa4cLslfCV39aJDo/rgITCYpFungmq8RL5a28bWmBBf3KMilws+gGBWDhdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMOH0sg3iMQ9xen0n51FaUzC4FYK1yYjUCMg2q8IBDFjFURArFuup6lWx0wgBLbmIFAFDWeaDACsWGupAN0CjPqsCPNDjBKQCDmHK5WIL64PGH6iG8+RSDuL06l/eoqSmcWArFWuDAbgRgH1XhBIIoZqyIEYt10PUu3OmAAJbYxA4EoajzRYARiw1xJB+gUZtRhR5odYJSAQMw5XItANHk8HA7vfXX5i+kj/vqx8UQZEIjdxam0X11F6cxCINYKF2ZXCo/rgHyFzYJzzEM1fuKq2dACm3LiKskzExVFgEAsnK5n6VYHDKDENmYgEEWNJxqMQGyYK+kAncKMOuxIswOMEhCIOYcrFIhPxgXMcx9xvIfKC+eYbCAQu4tTab+6itKZhUCsFS7MRiDGQTV+EIhSRq4IgVg6Xc/SrQ4YQIltzEAgihpPNBiB2DBX0gE6hRl12JFmBxglIBBzDtcnEE93Wr5dm2z6iMciVy3PQCB2F6fSfnUVpTMLgVgrXJiNQIyDavwgEKWMXBECsXS6nqVbHTCAEtuYgUAUNZ5oMAKxYa6kA3QKM+qwI80OMEpAIOYcrk4gnn7n0DjN0PQR94fD25/5BuYBgdhdnEr71VWUziwEYq1wYTYCMQ6q8YNAlDJyRQjE0ul6lm51wABKbGMGAlHUeKLBCMSGuZIO0CnMqMOONDvAKAGBmHO4OoH4OLuAeeYjjm7RfKoECMTu4lTar66idGYhEGuFC7MRiHFQjR8EopSRK0Iglk7Xs3SrAwZQYhszEIiixhMNRiA2zJV0gE5hRh12pNkBRgkIxJzDtQnExQXMMx9xvIdK4Z9ARCD2F6fSfnUVpTMLgVgrXJiNQIyDavwgEKWMXBECsXS6nqVbHTCAEtuYgUAUNZ5oMAKxYa6kA3QKM+qwI80OMEpAIOYcrk0g3h8WktDwEUe5+PJ8jXOx30JEIHYXp9J+dRWlMysoEAEAAAAAAGCXIBBLDVcmEI93YJ7/zKHhI45XN/+bsz4sphARiN3FqbRfXUXpzEIgAgAAAAAAwBIEYqnhWgTi6xN//vvD4fDBaw+fHOa873shqMDZArAjfMeDEwhEAAAAAAAAWIJALDVcl0D8w+Fw+NGvPLbhZBcxiOPgbIER+PXUoF4XDid8x4MTCEQAAAAAAABYgkAsNVyVQAyfgPinj45O5oc/P/3l7Gh+VsdzQBFcLaCfxXmyOMQAvuPBCW6iUitcmF0pPK4D8hU2C84xD9X4iatmQwtsyomrJM9MVBTB7HOktwOa7sd0p+tZutUByaVvqbZGSPp7UCOkv60lPwpsCF0i+QfTKniYXEkHZDi6ZTmwUYekjmUHGCUgEHMOVyUQgycgnp69nXR4ko3v/qaC5YBCuFpAO8vL7LHcIZ5DIBBrhQuzEYhxUI0fBKKUkStCIJZO17N0qwMGUGIbMxCIosYTDUYgNsyVdIBOYUYddqTZAUYJCMScw7UIxBPHWzC/XDxmeoZH8wbNf/24xI1UVrWG7jyNcTVrFmY92fpweVfxXFFJqMxCINYKF2YjEOOgGj8IRCkjV4RALJ2uZ+lWBwygxDZmIBBFjScajEBsmCvpAJ3CjDrsSLMDjBIQiDmHaxKIf/lweQvm55CPePS6GQEIxO7i9NivR6c/PBze+yp7VBoqsxCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvS7ACjBARizuGaBKLTCPp9xJNPzUhAIHYXp8Z+Xf3hO1+eH7iekOjy3GqW1SoLgVgrXJiNQIyDavwgEKWMXBECsXS6nqVbHTCAEtuYgUAUNZ5oMAKxYa6kA3QKM+qwI80OMEpAIOYcrkggfvOp65pkv484nrA4qZpsIBC7i9NivyZ/aLbw6Tp7x4X5wqhUVGYhEGuFC7MRiHFQjR8EopSRK0Iglk7Xs3SrAwZQYhszEIiixhMNRiA2zJV0gE5hRh12pNkBRgkIxJzDFQlEtxD0+4ijnEEgjh+nxH4d29dxTuz96VHrynw1y2qXhUCsFS7MRiDGQTV+EIhSRq4IgVg6Xc/SrQ4YQIltzEAgihpPNBiB2DBX0gE6hRl12JEGX5/+Z47jIcdjpYbHTWmsQOvwyG0nHG4/9mzh/k1DBOLe43TYr9P5s44G9j2uZFkNsxCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvSAIHYbHg3AtF9BfPKJcz8BuL4cTrs16Pvdinnq5jtUxB1LKthFgKxVrgwG4EYB9X4QSBKGbkiBGLpdD1LtzpgACW2MQOBKGo80WAEYsNcSQfoFGbUYUeaHWCUwCXMOYfruYTZc0Lh1UccBeNMwzxxF+ZdxKmwX+cTDR1XKk9q0foVRBXLapmFQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMO1yMQPTdVvvmI+4WGuXeesSgEgdhdnAr79eS7V8p0CuKitS+/mOg9hfYkJOc+0vFQLCo24RIEYvnwu7s7eTYCMQ4t1Zx6optqlmmJLbApJ66SPDP1XdFdSjMsyFeRGoEo2Foqjx95whGI2zL6FYipu42kEPlRYEPokr0JxGYHAgSilzfvSRd1NNgeyw4wSkAg5hyuRyA+rt2s9vgC4xTFp0OBn0BEIPYXp8J+3XtPQDw37uypy+8iHhx3aL509dPlueMwx0OXGaIv4FexCZcgEMuHIxAjg3PMo6UaBGJcJXlm6rsiBGI0p2MWArF0utUBCMSiIZu2FgKxx2BJLgJxHi+eBIEoqWPZAUYJCMScw9UIRM9PIBo+4nQm1/Wa5dPfnGd8iUAgdhenwX45zzKc+P8WDz8e5pga/GwLn67PvXQ+hEB8cINATAOBGBmcYx4t1SAQ4yrJM1PfFSEQozkdsxCIpdOtDkAgFg3ZtLUQiD0GS3IRiPN48SQIREkdyw4wSkAg5hyuRiAeFYzrDC7DRzwaZ3ndJwmUeBCI3cVpsF+BK5iXzE8/PBg9PU30zj98bD7jeAiB+OAGgdggG4EYB9X4QSBKGbkiNQJRbbqepVsdgEAsGtLf1pIfBTaELtmbQOwqV9IBOoUZddiRZgcYJSAQcw5XIxCPPwpnX5F8EiXvfmX8xe1dsoFA7C5Og/16jO/He8sfmiNPtvBfXp944X4IgfjgBoHYIBuBGAfV+EEgShm5IgRi6XQ9S7c6YAAltjEDgShqPNFgBGLDXEkH6BRm1GFHmh1glIBAzDlclUC0hchMIC4MYgl/iEDsL06D/bpfXorsZbp++cUparqXynXo9UrlV6fXvnI/hEB8cINAbJCNQIyDavwgEKWMXBECsXS6nqVbHTCAEtuYgUAUNZ5oMAKxYa6kA3QKM+qwI80OMEpAIOYcrkYgPh2MHzi8MheIs5+PK3D98jMCscM4BfYr3uddjOGbl16inozzCm9/NadyPJSKgk1og0DMFL766zXCbARiHN1Uc/o9o26qOYFAlLKxIsfOob9t1KtAnP0wWNO9qOqDFwJxW0YXAtH143gIxC6DN+Te3l0E4ixePEn1Ojy/Yqlzeyw7wCgBgZhz+GAC0RIuuUEgdhenwH6dBWJMT95fu3eKOt9/ZTqd9sk+udbxUCoKNqENAjFTOAJRhnTzTHRTDQJRTK51N68IgehIiQWBmCUcgbgtA4EoajzRYARi0dwbCMRMdSAQEYjpw9UIRB8alVe/eRrjFNivswSMEIjGC69R55MSLzdgebL1uOOhVBRsQhsEYqZwBKIM6eaZ6KYaBKKYXOtuXhEC0ZESCwIxSzgCcVsGAlHUeKLBCMSiuTcQiJnqQCAiENOHIxDTQCB2F6fAfp29YMRNmJ9uJxPeosw7ij9df+1wPmb+UCoKNqENArFWuDAbgRgH1fhBIEoZuaJeBeI46XqWbnUAArFoSH9bS34U2BC6ZCcCsc9cSQfoFGbUYUeaHWCUgEDMORyBmAYCsbs4BfYrWiA+3k4mvEWdTkG8XKL8ZF+u7HgoFQWb0AaBWCtcmI1AjINq/CAQpYxcEQKxdLqepVsdMIAS25iBQBQ1nmgwArFhrqQDdAoz6rAjzQ4wSkAg5hyOQEwDgdhdnAL7FSsQz7+V+HIRdX70fIrhk307Z8dDqSjYhDYIxFrhwmwEYhxU4weBKGXkihCIpdP1LN3qgAGU2MYMBKKo8USDEYgNcyUdoFOYUYcdaXaAUQICMedwBGIaCMTu4hTYr9jfQDypwsvJhEbU/U0rPtk3XHY8lIqCTWiDQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMORyCmgUDsLk6B/Yq9C/NJNF5OJjSiHhGIDhCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvS7ACjBARizuEIxDQQiN3FabBf93GSLyQQz/oRgXgFgVgrXJiNQIyDavwgEKWMXBECsXS6nqVbHTCAEtuYgUAUNZ5oMAKxYa6kA3QKM+qwI80OMEpAIOYcjkBMA4HYXZwG+/UY9zuFCMQEEIi1woXZCMQ4qMYPAlHKyBUhEEun61m61QEDKLGNGQhEUeOJBiMQG+ZKOkCnMKMOO9LsAKMEBGLO4QjENBCI3cVpsF+Rd0pGICaAQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMORyCmgUDsLk6D/frLh4HbMB9/IfFsDU8C0b6JCr+B6CIoEL8uQKl5uw/XsfAKHeAPrpe2xp6radYCzkoaxjvYR0XBDmi7CXacXjNcvg+oUu0wIf0tJNdRoNk/mVbBw+Q2/hzQy6F2x3UsOgCBWGo4AjENBGJ3cRrs1/kuKh7Ld7aLL565C3MSCMQ9ZCMQE9lzNc1awFlJw3gH+6go2AFtN8GO02uGy/cBVaodJqS/heQ6CjT7J9MqeJjcxp8DejnU7riORQcgEEsN1yIQDxa2Z1nnpGqiXcujHTpj/a6618zDq+ga5zQ2ek+epXvOpYvmYsp2IxDPveS5hvncZ8cOOXvGl4uo86PnDkIgXuES5lrhwmwuYY6DavxwCbOUkSviEubS6XqWbnXAABflbszgEmZR44kGcwlzw1xJB+i8ZJc67EizA4wSEIg5h+sViBepkl8g3k8vQCB6BWL06k3ub1t+dwLxdpahxdkPnq9hNn7t8BZ1GnuRjwjEKwjEWuHCbARiHFTjB4EoZeSKEIil0/Us3eqAAZTYxgwEoqjxRIMRiA1zJR2gU5hRhx1pdoBRAgIx53DdAjHVQUUIxKfbCxCIIYEYcU+QGU/mlt+dQDxbQucmezKaybjZyi3q3jCECMQrCMRa4cJsBGIcVOMHgShl5IoQiKXT9Szd6oABlNjGDASiqPFEgxGIDXMlHaBTmFGHHWl2gFECAjHncOUC8XB4P6tAPN3FAoF4JSQQkwzibMPuUCBetqSj905bZtqW57+cXnWNmp28iEC8gkCsFS7MRiDGQTV+EIhSRq4IgVg6Xc/SrQ4YQIltzEAgihpPNBiB2DBX0gE6hRl12JFmBxglIBBzDlcvEI8G8TmWVYE4kzEIxLBATLFWC8u1P4F4PgXR7pnF4/fXv01R5/6ZZC0C8QoCsVa4MBuBGAfV+EEgShm5IgRi6XQ9S7c6YAAltjEDgShqPNFgBGLDXEkH6BRm1GFHmh1glIBAzDlckUCcO5KLeHnDB6UEoj308Cpdf+gXiOef5zM4L+mQci8V94bdkUCcNtpiG5xPObydzHl71SXqaS6rEYhXEIi1woXZCMQ4qMYPAlHKyBUhEEun61m61QEDKLGNGQhEUeOJBiMQG+ZKOkCnMKMOO9LsAKMEBGLO4WoF4vPt9LifPceCQEyMcwvEq/dyPOMBgXg9odW0rk/WY9OrXpyiJlV73dAIxCsIxFrhwmwEYhxU4weBKGXkihCIpdP1LN3qgAGU2MYMBKKo8USDEYgNcyUdoFOYUYcdaXaAUQICMedwzQJx0lg/+nL5hA8EYmKcTyBOmz56WQhE45zZaYPeTw+YFzZfHzS5budIgXjOiraKWjbhDARirXBhNgIxDqrxg0CUMnJFCMTS6XqWbnXAAEpsYwYCUdR4osEIxIa5kg7QKcyow440O8AoAYGYc7hqgThprOgraRGIiXFegTi/tcc6CETTIC6Yb0WHQbx1DwLxCgKxVrgwG4EYB9X4QSBKGbkiBGLpdD1LtzpgACW2MQOBKGo80WAEYsNcSQfoFGbUYUeaHWCUgEDMOVy3QLxorOgraRGIiXF+gZioqBCIR5xnF1oWdnnzHnP7IxCvIBBrhQuzEYhxUI0fBKKUkStCIJZO17N0qwMGUGIbMxCIosYTDUYgNsyVdIBOYUYddiTAFZ8OeXSegng5M9EachOIl1cs3c12gTj9Wp012CsQLzbJffrkdLbaj37lyPNm3Thvl+u9OZ6vP7fnjLtur99EC8Rz+cunbu5rseAYgRixLBea7Jfjrtbme3RhejscWxKBeAWBWCtcmI1AjINq/CAQpYxcEQKxdLqepVsdMIAS25iBQBQ1nmgwArFhrqQDdAoz6rAjAa74dMhfP7JNyew8r5kwmwSiYWhu/maubZzu0ScQ5xenvnQNNP/2ah5mL2x2Dtr70VmnSV/Ot8Ara0brsuPZ9vogViA+Wk8tzpy7PufYsKdFvP2ZsTVDmzCMLvu1VIieU1Onl0UYbgSigyxHIcdBSTBc7xdAYTYCMQ6q8YNAlDJyRQjE0ul6lm51wABKbGMGAlHUeKLBCMSGuZIO0CnMqMOOBLji1SGfLD3WdB6b5bGerwJx/pLJ0WwXiKFrTt0Cca6RFiehLVcwezqUdRGI84UcXdzczs2Xtkyb3ZIm4QzE5TyHqwaMEYjBTRhGnf26bamQJ1W3rNpZCMRa4cJsBGIcVOMHgShl5IoQiKXT9Szd6oABlNjGDASiqPFEgxGIDXMlHaBTmFGHHQlwxfJeE384mH7ONlEz/3YWiP9uobouBnGrQHTcG8NUfi6BuDwNLagIzafDWWeBuDB5b55fjnoRmRYSiOetddtKjotzJ0G2LhBXNmEYlfarqyidWQjEWuHCbARiHFTjB4EoZeSKEIil0/Us3eqAAZTYxgwEoqjxRIMRiA1zJR2gU5hRhx1pdoBRwjSR4yHjMfNV3ERlfaHe4XFR0uH2yxYdcPAJxD99dDNVz26PdXNRJ7f2T/7F8gVnobZVILrujLGUlnOB+K+tk/UMpedawVXhhbNOK/jnHy+ef++r5SijuvD2CgjEp3ndjvMPryPXBeLKJgyj0n51FaUzC4FYK1yYjUCMg2r8IBCljFwRArF0up6lWx0wgBLbmIFAFDWeaDACsWGupAN0CjPqsCPNDjBKQCDmHK5eIP75702RNXmss1CcTmy7jrxprvNDk7g66b2NAnE6he/FLOEm3RwC0Qh4XNqyqYqLe/vInHwt67YCc3lv/0/Wgi3v59lefoF4iZqWtRw5m3dVIK5twjAq7VdXUTqzEIi1woXZCMQ4qMYPAlHKyBUhEEun61m61QEDKLGNGQhEUeOJBiMQG+ZKOkCnMKMOO9LsAKMEBGLO4eoF4utPDHF18Vi3n5ZbPDC5qauvuzx/nTr9LsyXKa1reReObikQr6+/2LVryfdzefb6jz++FbyWNZePz8b5hYtHphms7XXWsYsTOh0m71LJYlr7pyh9G3YmEFc3YRiV9qurKJ1ZCMRa4cJsBGIcVOMHgShl5IoQiKXT9Szd6oABlNjGDASiqPFEgxGIDXMlHaBTmFGHHWl2gFECAjHncMUCcXnV7KvJPM1ubDu718fSe03PX4ekC8R7y3WdNd7VUToF4ovly+enUN4qeH0xiC9jsi4C0Vje/UJXLm6ebG2v16/nN6VxC8Tr7yZeR97PlnwbGiUQvct6jkKl/eoqSmcWArFWuDAbgRgH1fhBIEoZuSIEYul0PUu3OmAAJbYxA4EoajzRYARiw1xJB+gUZtRhR5odYJSAQMw5XLFAXP5836vLCXXzW9vOHjvruZnomvu7ZIE4H26+dH7W41wgzpTcvZn5uHj6Tdyvp+dXsxbXFV+3kXVPl8sD9vZ6/fp8DuLL2Xgf11LOE80rOxUzN5Fugehf1nMUKu1XV1E6sxCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvS7ACjBARizuGKBeLyzhuvLjdZdnnGy4NztWc8PzslL0UgPllG8nmhBF0C8YU1xaUAS+m9ifvjh5cHVrOWd0a2T2icXvPq9uxstW/i/mCOCArE2cjHZWXRAtG/rOcoVNqvrqJ0ZiEQa4ULsxGIcVCNHwSilJErQiCWTtezdKsDBlBiGzMQiKLGEw1GIDbMlXSATmFGHXak2QFGCQjEnMP1CsTpvh2GQHyy9eBcZJmn382enwRfskB8tM+eW8S4BOIr69WXAk/FmAWaeatZ56WYG8B+5LzZXt1WO9teb9L+ZIq/kEBc+YnCaIHoX1Y4wKhZn/3qKkpnFgKxVrgwG4EYB9X4QSBKGbkiBGLpdD1LtzpgACW2MQOBKGo80WAEYsNcSQfoFGbUYUeaHWCUgEDMOVyvQDwKqjcPna/wPYuqe0vOPV9d1enPzlMU7w2NlioQXRdNzyWdSyDOFaYpEK18I289a+ZCPY+Yr7e315u0PxvbKyAQ3be0ubG4GYxfIAaWFU4watZnv7qK0pmFQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMO1ysQj97txXQX5pOoss5JNDCu2V2e7GaeAbdJIC4vv507SYdAnN+VxDxVzzobbykQg1nW+YuORwyBuL69fALRrsJKOCQJRPeyAiEGKu1XV1E6sxCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvS7ACjBARizuF6BeLjWXOdBeLpuZAQOxu2k75bnuz2JBCI8+t0Z7UFBOI8wBKI87uaXPPWs+xXbBaI5hmZtxkvd2nxXbxs68YIgRhYlidmgUr71VWUziwEYq1wYTYCMQ6q8YNAlDJyRQjE0ul6lm51wABKbGMGAlHUeKLBCMSGuZIO0CnMqMOONDvAKAGBmHO4XoF4fzZj57sGn5676K01gbi8xrmUQHwxG2hO4xeI5qmLJyIF4gvPK4ICcX17LQXi1REut6FvNgSihiidWQjEWuHCbARiHFTjB4EoZeSKEIil0/Us3eqAAZTYxgwEoqjxRIMRiA1zJR2gU5hRhx1pdoBRAgIx53C1AvGooI7a6U8fXQUaArG8QJwM4vI0Tuue2AhEPVE6sxCItcKF2QjEOKjGDwJRysgVIRBLp+tZutUBAyixjRkIRFHjiQYjEBvmSjpApzCjDjvS7ACjBARizuFqBeLROx212R9/fPVZCMQKAtFjEC1/+Cr2LswIxOZROrMQiLXChdkIxDioxg8CUcrIFSEQS6frWbrVAQMosY0ZCERR44kGIxAb5ko6QKcwow470uwAowQEYs7hagXi0cS9nH7G76zIPLfjWAzK/xuIdmS530AMZm35DcT5hEu74xCI58CFh3001OFldUkC0b2s5WNuVNqvrqJ0ZiEQa4ULsxGIcVCNHwSilJErQiCWTtezdKsDBlBiGzMQiKLGEw1GIDbMlXSATmFGHXak2QFGCQjEnMPVCsSjYPo3t7uAHHWW4cY8OAWiKe3q3IV5RSDK7sKcehOV2faKEYiXsw3NWS/nMto3gOYuzBqidGYFBSIAAAAAAADsEgRiqeGKBOK7v3lt8Mniktn3p8c+eO3ndL3z+/PHzndh+dn5L384WEHm0Olli8HLyNmU84Gnv80DTr/i+KNfefPfzHZ6ZD3LnMmY+4c/97x+dXud65nNOE06K/PXB3umeTGLhZ2qONcVWNa8BUJ1wpB4DwhHEIgAAAAAAACwBIFYarhWgXjWTguD+Guv/rtw0ncLHzZzbKkC8Rz5vuu105RJAnE20nz+OMFqVqpAXN1eboF4ftSUfp84JpoP9QvEwLLmLRAoE8bEe0A4gkAEAAAAAACAJQjEUsO1CsSzVfvh/3qyc//54SzFnJLvzSuvI10vmFm0ZIF4GrAwfnOfliQQXafjXSNWs1IF4ur28gjEy+mf13mdJxF+MntJQCD6lzVvgWURMDzeA8IRBCIAAAAAAAAsQSCWGq5VIJ6s0/uXi2l/dvJR7/7mLLIW/s8UWWdjZiu2q/xKFojn4fMR55e+7xy4IhDPOnNW4G1Rq1mpAnF1e/kE4uIiZq/2jBKI/mXNW2BZBAyP94BwhJuo1AoXZlcKj+uAfIXNgnPMQzV+4qrZ0AKbcuIqyTMTFUUw+xzp7YCm+zHd6XqWbnVAculbqq0Rkv4e1Ajpb2vJjwIbQpdI/sG0Ch4mV9L4SsmtAAAgAElEQVQBGY5uWQ5s1CGpY9kBRgkIxJzDFQnExb1NHg8vLvfuePer8x07Xl1uBmzehOR8945p7PmGJuYLzjcSud7DI/UmKtMdRV5Yr7xOmXQTlcurby+Yfl/wZUxW4k1Unu3tNYm/qQDnTVSmx6/3iTnPOVvVZUv7NqxxE5XAsqxYJ6umKSMVswZdFndh1hcuzEYgxkE1fhCIUkauCIFYOl3P0q0OGECJbcxAIIoaTzQYgdgwV9IBOoUZddiRZgcYJSAQcw7XKxAn/XX44c8vf34x3Q3YMF6X11yE2UVr3aa6DLjKq9MLHMLMLxAvU96Ku7i1F4uB5t8CAvFi066vuPjD89NrWckC0dpel7hruT6BuLgTs6UAzw8sNeptoplAXN2EYVTar66idGYhEGuFC7MRiHFQjR8EopSRK0Iglk7Xs3SrAwZQYhszEIiixhMNRiA2zJV0gE5hRh12pNkBRgkIxJzD1QrEyQUeL519PjunNy+4qKdJVV304XXobdDp3LmzTDPF1vkFLnPlE4jXjBezhOWU0QJx7jifzHJXs5IF4tr28gvEi3q8vHCa5pURMTeRiw07E4irmzCMSvvVVZTOLARirXBhNgIxDqrxg0CUMnJFCMTS6XqWbnXAAEpsYwYCUdR4osEIxIa5kg7QKcyow440O8AoAYGYc7gigejhg5OPOFqno3F6dL1kfh7cP//Y9/TVi1mSLyAQr2fbzXi1HGj+LSQQrzLO5CrewlnpAnFle/kF4vwiZlMZumtbbNi5QFzbhGFU2q+uonRmIRBrhQuzEYhxUI0fBKKUkStCIJZO17N0qwMGUGIbMxCIosYTDUYgNsyVdIBOYUYddqTZAUYJCMScw9ULxA/OPuIoqE6iy+Gibj7spO9eLhWdYapuJmxpzfwC0RX5yhpo/i0oEB0G0Xh9MGuDQAxvr4BAvAy8PHc7tfNW9L89/u/LWex1xEIgrmzCMCrtV1dROrMQiLXChdkIxDioxg8CUcrIFSEQS6frWbrVAQMosY0ZCERR44kGIxAb5ko6QKcwow470uwAowQEYs7hygXiO1++XghE278Z/ussEOcvmem121Pzh4MC0TqNb2bckgWiZeNmV1SHsrYIxOD2CgnE+c9HWrO8Wtw3Zb5hlwIxvAnDqLRfXUXpzEIg1goXZiMQ46AaPwhEKSNXhEAsna5n6VYHDKDENmYgEEWNJxqMQGyYK+kAncKMOuxIswOMEhCIOYerFohHF3XxEUfpNsmq+els5plsF4FoKrrl7x0+usY9hwWicYGuPTJdIM5XcLpHTFzWJoG43F4/M58KCMRJCc7vx3Lh5bTU29jZhrUEYnAThlFpv7qK0pmFQKwVLsxGIMZBNX4QiFJGrgiBWDpdz9KtDhhAiW3MQCCKGk80GIHYMFfSATqFGXXYkWYHGCUgEHMOVywQz17s4iOeZi7waqMWenASiFeF6BBV08W2Lx1DfQLx+XaGnXUDli0C8baC9115vqyNAtHYXsu4kECcX8T8fBORL8yk22Y0N6wtEAPLWkGl/eoqSmcWArFWuDAbgRgH1fhBIEoZuSIEYul0PUu3OmAAJbYxA4EoajzRYARiw1xJB+gUZtRhR5odYJSAQMw5XItAXHI/uamLj7hPPG1tKzVVS4M8jXEq7VdXUTqzEIi1woXZCMQ4qMYPAlHKyBUhEEun61m61QEDKLGNGQhEUeOJBiMQG+ZKOkCnMKMOO9LsAKMEBGLO4VoF4uN07tvZRzwFTpTLCgKxuziV9qurKJ1ZCMRa4cLsW/jd3V258LgOcBcmQrp5JnZVTWIrIBCl9F3Rlj2DwT4FYspG03zwQiBuy9AuEG/9nRQiPwpsCF0ynkBc2duMLRCTjk9ZDrU6xV0vdSw7wCgBgZhzuFaBeLro9nit68lHnP72cmVIFhCI3cWptF9dRenMQiDWChdmIxDj2FU1CMRI9lERAnFDOgLRkzXrgJ6UmCgEgRhfkewosCF0CQIxV+4KCETqcEeaHWCUgEDMOVyrQDzfk+Ptz04+4vTje/MfFiwFArG7OJX2q6sonVkIxFrhwmwEYhy7qgaBGMk+KkIgbkhHIHqyZh3QkxIThSAQ4yuSHQU2hC5BIObKXQGBSB3uSIOvT/8zx/GQ47FSw+OmNFagdXjkthMOtx97XmG6Jcf8lirFQSB2F6fSfnUVpTMLgVgrXJhdKTyuA/IVNgvOMQ/V+EEgShm5op0KxIrpepZudUBPSkwUsjuBuDFEfhTYELpkPIGoKFfSATqFGXXYkQYIxGbDexWIC4NYyR8iEPuLU2m/uorSmYVArBUuzEYgxkE1fhCIUkauCIFYOl3P0q0OGECJbcxAIIoaTzT4/2fv/Xllx61t3/oAJ1/BsdG5EwNOOvJJnTYMvBM0HnAvcBpOTth4B2i8Fxh2tIKHbsPewQJW4h2soNFwfcW7VfpHcpLS5JwkxckaA7B7VUnkGKRmSarflkoAiBf6airAJjBDDmrpVoATAbcwl2xu9hbm+3IX86w29y/fARA7tDNJv7qysukFgNjKXOkNgMgT0qQFgKjVyIkAEGu72xk6qYABkJjQAwBRVXiqxgCIF/pqKsAmMEMOaulWgBMBALFkc8sAcX748vIwlUYCQOzOziT96srKphcAYitzpTcAIk9IkxYAolYjJwJArO1uZ+ikAgZAYkIPAERV4akaAyBe6KupAJvADDmopVsBTgQAxJLNbQPEu03k1a+fRTuT9KsrK5teAIitzJXeAIg8IU1aAIhajZwIALG2u52hkwoYAIkJPQAQVYWnagyAeKGvpgJsAjPkoJZuBTgRABBLNgdAzBMAYnd2JulXV1Y2vQAQW5krvQEQeUKatAAQtRo5EQBibXc7QycVMAASE3oAIKoKT9UYAPFCX00F2ARmyEEt3QpwIgAglmwOgJgnAMTu7EzSr66sbHoBILYyV3oDIPKENGkBIGo1ciIAxNrudoZOKmAAJCb0AEBUFZ6qMQDihb6aCrAJzJCDWroV4EQAQCzZHAAxTwCI3dmZpF9dWdn0AkBsZa70BkDkCWnSAkDUauREAIi13e0MnVTAAEhM6AGAqCo8VWMAxAt9NRVgE5ghB7V0K8CJAIBYsjkAYp4AELuzM0m/urKy6QWA2Mpc6b2a3263mua8CogFU0o7PaueLk1GPQAgatV/ItHuYdboAHGaGrvHDwDEIiZPChCn04YsE/1RYO9H3PjJAOKXjQSA6Nrz104c9myCu15yhBXgRABALNkcADFPAIjd2XVNv37+w/yg8G+y149bvc6Lv/rxtJfvwjf/9cML1fwA866nMCUAxFbmSm8ARJ6eLg0AIkPPkwgAMSkAxCwvrwL6Q2JCEwBEfiLdUWDvR9wYALGJLwBisRwJ2cwRVoATAQCxZHMAxDwBIHZn1zH9endQ3W//mbf+b/5KrH75lqC/qB6okABErzUAYr4O+uXI7hdApTcAIk9PlwYAkaHnSQSAmBQAYpaXVwH9ITGhCQAiP5HuKLD3I24MgNjEFwCxWI6EbOYIK8CJAIBYsjkAYp4AELuz65Z+hcSOIL2T9f8zsHp/Yfb3Gl26XtwIgCjUQb8c2f0CqPRuZM6rgHLBPOMS/SBNWgCIWo2caHiAeLm7naGTCugPiQlNnhQgZpvojwIC01BPBhD78tVUgE1ghhzU0q0AJwIAYsnmAIh5AkDszq5X+kWv+Du+j5mu/x/e8ldC/xL9vcfxYsgfARAzddAvR3a/ACq9ARB5Qpq0ABC1GjkRAGJtdztDJxUwABITegAgqgpP1RgA8UJfTQXYBGbIQS3dCnAiACCWbA6AmCcAxO7sOqVfkZ8c/NWf89b/d3f9GP+LXoP4nlhGASQAYpYO+uXI7hdApTcAIk9IkxYAolYjJwJArO1uZ+ikAgZAYkIPAERV4akaAyBe6KupAJvADDmopVsBTgQAxJLNARDzBIDYnV2n9GvhePNPH766L0Tr+09jOXiWysoJQ4D4AJQJhNnpFB4LALGVudIbAJEnpEkLAFGrkRMBINZ2tzN0UgEDIDGhBwCiqvBUjQEQL/TVVIBNYIYc1NKtACcCAGLJ5gCIeQJA7M6uT/o1A78N2C33J6dvYj5Zf7k+8evgNelvv44xBIiPHhMEs88pPNEhQPxcQbX67dl8+nFsIwNvUAFp43ZuZ6qTZioDidpviUtKIJrkQvuIyiW6SYshUI05OqyAazdK6F5oFoXuTdXSXL8PaJJ2GJMsD+muI8uk1FHgso/MVcZM3+I7ruLjvfg8oJeD/5dPWxc5LpiPoAIAEGs1B0DMEwBid3Z90q/X4J7lmQjGLhlMrP9Hb/2ZLzpPXp5JYQgEP9K3Nz96SDy6uc8pPBEAYgMBIPKM27mdqU4aAMT8JBfaR1QuEQCiSKE7AGI1L90+oEnaYUyyPAAQezZm+gIgMuxbe8YEgLgKALFWcwDEPAEgdmfXJf2aeaF7geCMAFNPTqbr/+337vqvBD8++vOBpPcziqHT+8EVkF1O4ZlwC3MD8y/nILiFmWFcop+e00xl0E+aI7fMEhD58JKU6am/RDdpMQQql8jkLcy5s2jy+FHEHLcwyzz6u4V52XXgFuYujZm+8R0XbmH27NWdFMgxAcQeclwwH2EFOBEAEEs2B0DMEwBid3Zd0q8Per3h60v6EsDI+p++d9af0aCH/x7I0f1Nww0ffvMaA4jRN1evHqfwTACIrcyV3gCIPCFNWgCIWo2cyCRANOVuZ+ikAgAQq5r0N1v6o4DANNTAALF/X00F2ARmyEEt3QpwIgAglmwOgJgnAMTu7LqkXxFaGGGKR+t/+slZ/3G5of8ElPChKCs//PJWjBU+Fqfcu5zCMwEgtjJXegMg8oQ0aQEgajVyIgDE2u52hk4qYAAkJvQAQFQVnqoxAOKFvpoKsAnMkINauhXgRABALNkcADFPAIjd2fVIv2aa5zO8+S7l+DWAkfU//f2P3nuvAf57dOe85TxmJQYQj56h0uUUngoAsZW50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q0AJwIAYsnmAIh5AkDszq5H+kXuL75Hb0M+Wv/TP/50+Nzmj+AhKs4lhjGAePQMlS6n8FQAiK3MNd7Trx4BILI0eBrVT+cBIGrVWaLp95mKJXoCgDg9fuI6dwDEEwEgFjUJjxVZJvqjgMA01NgAMXIstwYQU6cjNoEZclBLtwKcCACIJZsDIOYJALE7ux7pV+QJJ4c/ghhZ/5P3I4hE5HrGf/2wdRADiB8rjXxffijR9+pvCk8FgNjKXOMNgMjW4GkAEEUaNBEAYp4AEDO8vAroA4kVMAFA5CfSHQUEpqEAEGv4RgSAiBxxS7cCnAgAiCWbAyDmCQCxO7se6Vd4eeBD72kgGFn/06e/HADE+ZnObot//b/bixhAnN9zn9Ps8Moep/BUAIitzJXeAIg8IU1aAIhajZzoCQCi5eMHAGIRkycCiCoT/VFAYBpqbIDYua+mAmwCM+Sglm4FOBEAEEs2B0DMEwBid3Y90q/3GECMUsXk+p/mp6hE138nCNBTBCDONzj/fy+eNjjZ4xSeCgCxlbnSGwCRJ6RJCwBRq5ETASDWdrczdFIBAyAxoQcAoqrwVI0BEC/01VSATWCGHNTSrQAnAgBiyeYAiHkCQOzOrkf6Fb3Y8Awg+usnAOJ86eFLuqt7FCDOdzyHWnvocQpPBYAYVfzWDADE4sE84xL9VEkjvnHY4twISkDkw0tSpqdiiVS3kLvqb44AEGu72xk6qYABkJjQAwBRVXiqxgCIF/pqKsAmMEMOaulWgBMBALFkcwDEPAEgdmfXI/2KAsToDyMm1//06W+/j6y/AcTgES2uIgDR4Y4RgtjjFJ4KADEqAMTDCigXzDMu0Q8AYloAiFoBINpGeACIfC+vAgZAYkIPAERV4akaAyBe6KupAJvADDmopVsBTgQAxJLNARDzBIDYnV2P9OuVPKfkfggQI+snAOJH5A7kaG8+QPwI2rwur79ZvPqbwlMBIEYFgHhYAeWCecYl+gFATAsAUSsARNsIDwCR7+VVwABITOgBgKgqPFVjAMQLfTUVYBOYIQe1dCvAiQCAWLI5AGKeABC7s+uRftUDiO/uBYShg9vbd/QtDzm+O9cx9jiFpwJAbGWu9AZA5Alp0gJA1GrkRACItd3tDJ1UwABITOgBgKgqPFVjAMQLfTUVYBOYIQe1dCvAiQCAWLI5AGKeABC7s+uRftUEiL/95/4s5fhFiLGnME/XIPoG73sPPU7hqQAQW5krvQEQeUKatAAQtRo5EQBibXc7QycVMAASE3oAIKoKT9UYAPFCX00F2ARmyEEt3QpwIgAglmwOgJgnAMTu7HqkX/UAotcicQ1iFCASzRjy0X+PU3gqAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3ApwIAIglmwMg5gkAsTu7HulXvYeo+L3FH6XCA4jL7yJ+d+9zCk8FgNjKXOkNgMgT0qQFgKjVyIkAEGu72xk6qYABkJjQAwBRVXiqxgCIF/pqKsAmMEMOaglBrtYHyfpkxOMR4bNmzyFKrgAQu7O7mn7Fii4KED+c5x4HigLEn9Lrb91Fb2JmAsRfvl2vYbx6CkUCQGxlrvQGQOQJadICQNRq5EQAiLXd7QydVMAASEzoAYCoKjxVYwDEC301FWATmCEHtYSgXe7DI9z7Nj0e4TyiFgDxWeyupl9XAcSZE8auUGQCxPkeZgDEnIOSorndL4BKbwBEnpAmLQBErUZOBIBY293O0EkFDIDEhB4AiKrCUzUGQLzQV1MBNoEZclBLCNr0g8doHKri8YhXAMTns7uafsUAYpQVRqnirMj6nz79Jb3+3ih2DzMTIM7rfX2/fgpFAkBsZa70BkDkCWnSAkDUauREAIi13e0MnVTAAEhM6AGAqCo8VWMAxAt9NRVgE5ghB7WEoE0BGdxZi8sj/vVDsBoA4hPYXU2/YgAx+nOHG6+jiqz/6dP3JwBxvgU5UuMAiACIJc2V3gCIPCFNWgCIWo2cCACxtrudoZMKGACJCT0AEFWFp2oMgHihr6YCbAIz5KCWbgU4EdaOIm8577lr4SEq5wNNNudZaZvT1YIK2FjKAgm3u5hdHjERlYNbPksIALE7u6vpVwwgPthecHHgfscwVWT9T//4U3r9vZECIOIW5odut1ti7UAH/XJk9wug0tsKQGQXQsRY1PAwjVTPnEZQAlEfaSX4SZRdLOoP1/WXCACxtrudoZMKGACJCT0AEFWFp2oMgHihr6YCbAIz5KCWbgU4EQAQSza3AxC367P8q7VcHjEtObhiq4QAELuz65F+zWzOZ3gxqHiw/qe//9Fd/0vrsLTLAMSnfwozAGJlbwBEniwiuzO1TSMogagPAOKR+ksEgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3ApwIAIglm5sBiA55+XD5iMsj3qvctewJALE7uy7pV+R25UfZxp55El9/fobKsv577DcVHySd9xuIJ+27nMIzASC2Mld6AyDyZBHZnaltGkEJRH0AEI/UXyIAxNrudoZOKmAAJCb0AEBUFZ6qMQDihb6aCrAJzJCDWroV4EQAQCzZ3AxAdODK48qp9dZOl0e8Jq/wKiYAxO7suqRfEVp48BOIsfW9n0D8iP2k53uKSFKAGH3eyt6+yyk8E34DsZW50tsKQJRKOz2rkCattgBRr1LjRiKWABAru9sZOqmAAZCY0AMAUVV4qsYAiBf6airAJjBDDmrpVoATAQCxZHMzANHlIe8OiXF4xAQWU1d4lRIAYnd2XdKv+fZi9wcM559KTF0gS9f/2++d9efG/iWE83sxIkkB4ryu/3uKjmWXU3gmAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3ApwIAIglm1sBiN7VU+/xKxAnIlL5JxABEPuz65N+vQbXDM64Ls23yfp/9NYPF29PE4oRSQoQ55W9D5H7Vp9TeCIAxFbmSm8ARJ6QJi0ARK1GTgSAWNvdztBJBQyAxIQeAIiqwlM1BkC80FdTATaBGXJQS7cCnAgAiCWbWwGInhIAcbrM6psjsFJAAIjd2fVJv5ZnM69lOPPDg2cqn6z/8RJU9bJC9KHjkYeozO0dgug9zbzPKTwRAGIrc6U3ACJPSJMWAKJWIycCQKztbmfopAIGQGJCDwBEVeGpGgMgXuirqQCbwAw5qKVbAU4EAMSSzS0CxIl9bCjE4RETV/yvmYtUQ4gAiN3ZdUq/5msGl2sIvRei9Zd3lrpf8GHiJz9jT2H22y/4cOWPnU7hsQAQW5krvXdzycMp2Oa8CogHU0k7PaueKk1mKQAgatV3IuVja54TIOZMmuWDFwCizMM6QNzrO8tEfxQQmIYaDyCe7G0AED17dSfxHFnHyYo5snRBjrACnAgAiCWbWwGInxxNj6f9zV8/EX3/4ut3dBXIkA5KwID+/seXUP/+3/vif/zpxS/jk/Uji7/oP6PW30cWRdu7Bj3qfqRDgAj1qC+nP1dHgPoQSgFyhHIQCJMGjSzUd0/C1uhA2AgiASDWam4QID5QSISczEgGBHEYpUvAhOanoKRwHwGIJ+tHCWCcH0YBYqT77vkhACIEQRAEQRAEQRCUJwDEWs0NAsTvE2hwJiwLFPnLEWCBTChdAjYUIj+vGilAPF4/Ash//T8J4yhAzGjfjVLHg4cAECEIgiAIgiAIgqBQAIi1mtsDiN+n0MdP3kWHD1wSu9EZsqJkCZjRXxxcF9RiBCAerj/Jv4gwTcfjAHH5hDDad6PU8eAhAEQIgiAIgiAIgiAoFABireZWAOKm6WEQ7rMoXM7w/vL1vuDxnIniD1I5xRq2/Szatcyc7bU8XJk+fnl+jAl5iPK+ftxqeRaKW+iJleKlH2/f9RSmhIeotDJXejcy51VAuWCecYl+kCYtXhpBCYh8eEnK9IREDHnnkckKuHQ/ZtvdztBJBWRHl6RtYZK/DVqY9Ddb+qOAwDSU5gNzlfEwvpoKKHB0K3JgQw5NjrACnAgAiCWbGwOID+ziPXo2zSPezziLRACI3dmZpF9dWdn0AkBsZS73nh8aB4DI0vhp5M/aBUDUqsNEykcvOxoHIKbnxO7xAwCxiMlzAUTvg5Bloj8KCExDPStAlOzTi4+XUwGpoDaBGXJQS7cCnAgAiCWb2wKID37oXn94xCM+Yld4aQWA2J2dSfrVlZVNLwDEVuZybwDEDI2fBgAxXwMnAkCkAkBUupMK6AaJaU0AEPmJdEcBgWkoAMS2vqTDswoAQBw5R1gBTgQAxJLNTQHEx/2dPj884BHT2sHKegEgdmdnkn51ZWXTCwCxlbncGwAxQ+OnAUDM18CJABCpABCV7qQCukFiWhMARH4i3VFAYBoKALGtL+nwrAIAEEfOEVaAEwEAsWRzSwDxI/arcWkeMf0IIgDi+HYm6VdXVja9ABBbmSu9ARB5Qpq0ABC1GjnRQACxU3c7QycV0A0S05o8F0CUm+iPAgLTUM8KELvw1VSATWCGHNTSrQAnAgBiyeaGAOJr9OERAIjPbmeSfnVlZdMLALGVudIbAJEnpEkLAFGrkRMBINZ2tzN0UgEDIDGhBwCiqvBUjQEQL/TVVIBNYIYc1NKtACcCAGLJ5mYA4vzUWvpo2eNbmPEbiOPbmaRfXVnZ9AJAbGWu9AZA5Alp0gJA1GrkRACItd3tDJ1UwABITOgBgKgqPFVjAMQLfTUVYBOYIQe1dCvAiQCAWLK5FYBIH7+8aOMR0xreCh94CvNT2JmkX11Z2fQCQGxlrvQGQOQJadICQNRq5EQAiLXd7QydVMAASEzoAYCoKjxVYwDEC301FWATmCEHtXQrwIkAgFiyuRWASB+/vGjnEdMtzt84S16jVywqBYDYnZ1J+tWVlU0vAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3ApwIAIglm1sBiCl+6PCId3+dj2QTjQAQu7MzSb+6srLp9RQAcXtW3BXmq5TeAIg8ZaeJPkjwsjRRtU0jKAGRDy9JmZ4OE2U887JRogyVSwSAWNvdztBJBQyAxIQeAIiqwlM1BkC80FdTATaBGXJQS7cCnAgAiCWb2wGICRi484jpoSn7PcuPV99Em2gEgNidnUn61ZWVTa8OAeLh93kAxLrmvAooF8wzTi3LIDwAiAeyDRBzqiAUACJDAIiV3e0MnVTAAEhM6AGAqCo8VWMAxAt9NRVgE5ghB7V0K8CJAIBYsrkZgBj7/cNJDo+YLkFc13s8srn4I1QAEDu0M0m/urKy6XURQDz6zg6AeKE5rwLKBZv1ZQMduQEgjg4Q41vYtwdAjKlcIgDE2u52hk4qYAAkJvQAQFQVnqoxAOKFvpoKsAnMkINauhXgRABALNncDEAMNV9q+Hi2ym8WTjg/qHlXijlqBIDYnZ1J+tWVlU2vDgHioex+AVR6PzNAzJFFZHemtmkEJSDyccUBiBr1h+v6SwSAWNvdztBJBQyAxIQeAIiqwlM1BkC80FdTATaBGXJQS7cCnAgAiCWbjwQQA4JYgx8CIPZnZ5J+dWVl06vDW5gPZfcLoNJ7aID49tzI7kxt0whKQOTDS1KmJyRiCACxsrudoZMKGACJCT0AEFWFp2oMgHihr6YCbAIz5KCWbgU4EQAQSzYfCiAudzHPqnD/8h0AsUM7k/SrKyubXgCIrcyV3gCIPCFNWgCIWo2cCACxtrudoZMKGACJCT0AEFWFp2oMgHihr6YCbAIz5KCWbgU4EQAQSzYfDCDOD192H6ZSWACI3dmZpF9dWdn0AkBsZa70BqVFv2MAACAASURBVEDkCWnSAkDUauREAIi13e0MnVTAAEhM6AGAqCo8VWMAxAt9NRVgE5ghB7V0K8CJAIBYsrkVgJiUReTVr59FO5P0qysrm14AiK3Mld4AiDwhTVoAiFqNnAgAsba7naGTChgAiQk9ABBVhadqDIB4oa+mAmwCM+Sglm4FOBEAEEs2B0DMEwBid3Ym6VdXVja9ABBbmSu9ARB5Qpq0ABC1GjkRAGJtdztDJxUwABITegAgqgpP1RgA8UJfTQXYBGbIQS0dfX78n6/IW5H3ajXndemMwGpz5twpm9P37kxZRF79+lm0M0m/urKy6WUdIOY9zrmweZaU3gCICQUVYBHZnaltGkEJiHx4SbjrHu8I+sN1/SWqDRCXLWSHohV3tzN0UgEDIDGhR9LkYI8zwGzpjwIC01AdA8Tk1r9qwMV9NRVgE5gNlCNRngCINpsDIF5pN/jwABC7sLLpBYCoMM+S0hsAMSEARLYAELUqtSV6TASAWNvdztBJBQyAxIQeAIiqwlM1BkDkq7ivpgKeFtz1kqMGQMQtzLWa4xbmPAEgdmdnkn51ZWXTCwBRYZ4lpTcAYkIAiGwBIGpVakv0mAgAsba7naGTChgAiQk9ABBVhadqDIDIV3FfTQU8LbjrJQcAYtD83nNzAMQ8ASB2Z2eSfnVlZdPLOkC0Y6703s3zmGmmOa8C4sFU0k7PqqdKk1kKIwPEYz1HIsmewVFlgBi6iFTT/Xz2LB+8ABBlHk1MKs7WvlPIMtEfBQSmoToGiHm+3D0zAKJnz187Mb9PCxCL5AgrwIkAgFiyOQBingAQu7MzSb+6srLpBYB4Jufc73KA+IgCgHik5mkON0e1NDdJKQAgasVKxNoqZROJyiEZ6bACSuzH5CrmHpkrAETPy6uAnpCYyuQZAKJX2wCIbY2jvrcbb988NkDMOj7leQIgVsgRVoATAQCxZHMAxDwBIHZnZ5J+dWVl0wsA8UwAiIxgemmnZxUAojaNoAREPrwkZXoCQGQIALGyeydDZ3p5FQCAWNWk7GwBIF5oHPUFQJwEgGgrR1gBTgQAxJLNARDzBIDYnZ1J+tWVlU0vAMQzdQcQq5rzKoAE00s7PaueCiBmCgBRK1aiywCiUs8OEKu7dzJ0ppdXAQCIVU3KzlaitrNM9EcBgWmoYQAid38DgOjZZ3nyc2TpiXOEFeBEAEAs2RwAMU8AiN3ZmaRfXVnZ9AJAbGWu9AZA5OlJ0gAgZmn0RACIue4AiGdeXgUAIFY1KTtbAIgXGid8ARABEK3lCCvAiQCAWLI5AGKeABC7szNJv7qysukFgNjKXOm9AEQhJ2Cb8yqABNNLOz2rniRNqhIKXA8pKAGRDy9JmZ5GTyQqh2SkwwoosR+Tq5g7AOKZl1cBAIhVTcrOFgDihcYJXwBEowDxS+guclwwH2EFOBEAEEs2B0DMEwBid3Ym6VdXVja9ABAXcU5u6g78JAEAIkvRNNnzVjUNQ37gSBoAxCwtidQX6hVPxNJR7DkRAKKn9LABENleXgUAIFY1KTJbW0kDIF5onPCNb5PwXQBEd+UuwF0vOYqcegAgdtkcADFPAIjd2ZmkX11Z2fQ6BIifK6hWv1F9OfhzzKfVwlWZPfJ1OnBG12J39qw3qIC0cbXOo/MWe3N9T5tGXiax9pE0KQOt8ecLSyCapGiHh7PjLUysqUik2DJHTedEZcvhsALKbBTpbPDc2bvSzBiXfh5amuv3AU3SWjNJllsRj633EjuvUkeByz4yVxkT36M9TYHDddK3RIdlzwOyRjuBuwKealXMkTUfF9RzUAEAiLWaAyDmCQCxOzuT9KsrK5teAIifTQHEWubuipUrIG1crfPnAYgFdFkJRJMU7fDpAKJMhxVQZqNcDhBFMS79PLQ01+8DmqS1ZgKA2E5XGRNfAMRVJgFixToCQDxuDoAIgNiD3eDDA0Dswsqm19i3MIf3TCTMubdWfDGX3QQ5tVIOfLmFWdiYbc6rABJML+30rOKniW3K9T1tmrWfkzTMaoqkwUNUssRJ5E1pibsAD7qPJZLtWuZE5h6iIg2svaEsmPbMGE0PXoXNcQuzzENuQosrWW5lZwu3MF9oTHznrZH1G4iSvWPx8WoqoMAtzEUO/s1vHU4M0eZ8hBVwv//bpQCRuDclgEr3o+YAiHkCQOzOziT96srKptfYALGhefpk4PZQ0+9/RGxzXgWUC+YZl+jnqjTx7X/yhUAOEEUCQNSKleh4qy5LywLEImoJEKWaAGJsnjL+DUghywcvAESZR0mAeOpx2sJZoe5s6Y8CAtNQZgHi0T9OMnwHBYhZqvjbgxXBXRZAzFKRAz0Aorw5AGJaFpFXv34W7UzSr66sbHoBIBYyB0DUSTs9qwAQ0wJA1IqVCACR5SISAGITd1IBAIj5JgCIuaahABAzfaUCQEwqb+wAiACI+c0BEPMEgNidnUn61ZWVTa/rAWLeyVLj72B+OMecpD4EiCLvQCMCRGfStNNTII2j6ZORdxK/rB6/UVV5h2nbuRGUgMhnVXpySo1bWRW5VRoMKP6yP8iqB4isMmcN/PBeTwDE6u6kAkYEiPX++Sb7XxpXDwBET10AxKyD94S99ABRouITramAgQBixRxZuiBHWAEAiJWaAyDmCQCxOzuT9KsrK5teAIiH4gNEpfd5f5N5xq/p5JgHK55XAAkm1EAAcdHpL91JFDl3zPlhpcw0ghIQ+awaDiCmmxdJ5Pc3JxKVQzLSYQUcTEEjgMhof+6+OeRMmtIdAPFYzw0Qcz+9aZPEr7lmDUR/FBCYhjILEKMLGJ0pAaL4ANAGIFa98i8jR5aeGGSGFQCAWKk5AGKeABC7szNJv7qysulVFSDGDpCk3wEAImsIi3di3fk25yMtAPF8xQNz3ornFUCC8XR02Wb2plGnOdJdBxC3ttnfJFPXLqQBYkbMHgAiHd/gADHxefUT5dzjfgwQFQwxDyBGohUHiLRDJw9rpOFKAIhsL68CBgWInI2vMyESAMTEHiQZPzw5WV5mDUR/FNj7ETfuBiCydxIRgOidEiS22fo2AKK7ci2A2Au4qzofBW6lDisAALFScwDEPAEgdmdnkn51ZWXT63qAmKfPnzWX2WSau1bT36mBJyO5CxZv1rqxdz5/Xk9lxwGIgXGBblRXdvHTOBEOGU8tgHgbCCAeJznqqUyinI5ponAfEemNcSqvBIiyckhGOqyA9Z1yAJFLTqZXTh4BQPzSAwAi18urgBEB4htr4z+QkMqEYXjwoUq+ywCI/glD1mzpjwJ7P+LGXQDESfydHS2Xbd+8/id2olcGIIobSwFi6vMzEEDU7nYPcmQJABEAsXJzAMQ+/CzamaRfXVnZ9GoOEJX/oJcEiKyTgoNBnfUJgJiSBiDu72RsmoMJuN2eHCAWgKuCEsjwyeFOx/YHIyU9PitAzNpXtAGIZ/u59BLzAFHzb18AiGVM/PMHxj4YAFFVeKrG1wHE2+l+dH2LrgmACIBYPkcfAPGhtyNkdQQQ/22VECC6SlgdITwiafPkQE+bH697RAD/7dzqsDnDHQCxDz+LdibpV1dWNr2a/wZiJkAMD4RdAkRWB6feZAT+KeoCEGXfQtkD51WAJ005JADi8Rj7B4ibci63Sq/lf2bWb4WMhqdpYhKUgMhn08FYBgCICT0SMdenHM1JJC+HaKRHn0cVcFATrE9FDkAk6914FZnkMACIfC+vAgYFiHHtq8xk52qAGO+GmNCS9vcLWbOlPwoITEN1AxBPz87ct6O+N7eo6LLDPlkqPtGcCngCgFgR3FXMkRAAIgBiujkAYh9+Fu1M0q+urGx62QOI6RXnVY+OytugTg/d8X/zPxx42Oct8/Q9mWkFiLcVIFY8u+RVgKfmADHdSTjnYt3dKs3p0lvX4RXbGxKA6G+JDSMnLmZI9zoWQDzohsyMoEYjqW6pX8hndECQ5rwFpVE23eXlEKoyQAz2z+xoBOfkNAnejQDEnCjCz0O2Tw1zAMTZIxcgxkzOSHnmv1dEPbal4R/r7u0YILoftmVB1mzpjwJ7P+LGPQPE7e1gQeDr7O6cTREsX88LABC9lQEQxTkSAkAEQEw3B0Dsw8+inUn61ZWVTa/rn8J8LDZAJF9QE+aJ8zjaWcz8oBk9kyQAMVwlaJD8SrvQgRkg5iCyBJ47Eq8CPKnKwTPeXogB4nlT/8thMk0UIOZ+92QBxFjdBN8k/C2xVsFSCvypYs6qoAQClakIBUAkY40kchnAaXdOIPaVQh5l4AHE6E7k+HvlXVwOZOBtAOLqwg67fx7mj8/d7S4+NfHN430gk3vboy6En4dVus+F0hwAUeCRgHvHhZ7CRHke29JlHc/y5gDE4IizfFq2D8z2ftwklUx/FNj7ETe+DiByL1Sm7z7OMZcW/pF83yLuyeq6597+mzY7VPGJ5lRAKigA4sU5EgJABEBMNwdA7MPPop1J+tWVlU2v3gHipuDrZ3qNQy4UBYgO1nHOF7dX+//zAWJ46nhLAcTU94/IN5AnAohseXxlf+esxema92BjOqUVNnOW3dyNc3N4hfN1IRYo2qHztz83q9PwADGrJoLPRTBWBUC8uStGAWLsS6ZXCh5APKuFdDGkAOL9JiqHqgAxvXT9EQpO2O0D5+5LGQAx7GRbNwSIt1W8sUgPXosAEI/VH0BMmPgfdLos+mYot3RXD7peABBXIOiMhJzKuABxr3AARInx2f4lCyDe9p2R8yJU4MxV8YnmVEAqJADixTkSAkAEQEw3B0Dsw8+inUn61ZWVTS8TANE5EWN4HxyW7/e7v9Q7qSNt3e+ot1yA6Jzzz2oBEGP5l4FbBojJIbtbiJeGd4a+l4lbId6p/5v3ZwogemXlb7rom29+WdyOACIPwkT51pEEJRCoEkA8zH/8uRAAxND18d/7sgchmzmsQ3/L7FsstdkDTuD2TaO4ujs7FlY5eNm9BZUB4uayTyD9+PpTsH3AnMmLAcTDje9unjhA3N46G4vw87AKAPFYHQFEZ/MnTeI1Rw4Eb+6HnR4UvLdTZezUMBMgrotu+1vRgaQc9UeBvR9x4z4Aoru/iq7tzeHdB4jrH/sG3jf0LSXSacwoUPGJ5lRAKhAAYvEceds3K8eRpVsBAIgAiHFZRF79+lm0M0m/urKy6XU9QKSHOvKl2Tkpdr3J18bI91Fq7p2o7+dxpHlwJjf9v//cw9CH9ul+SfVN0gq+AuyaRn4bCiB6Qzl0S0312342vr41p4nPEZ2d/Z09zOOvLY172h98Idj5xlv4Hzed/1/PMR7V+x6RmJu9mE5PQt3JOll1c8ssgUA5FXFUz4F9YsXb9jWZbI1EIrLbePM3i19dbqO7Xwnb6tHPdlhtpBbevF5oMi9IYpLmOcooBy+7t6ACQHRG4L+17xqD2HQ+/e3x4KVuP3uj5P7/tq+7PYRr7zs1HREJPw+rABCP1Rggko+rh97Oj0zOAYMuCXf1nkj7YPdFPdx6X1b+/NkvXz9Q5AOVNVv6o8Dej7jxBQBxnsPwNHP7013J367rmuu/MPkdOBvYLwC3h/3/0+EOz20F450lBYg5/VUGd73kyAB3veRIKawAAEQAxIh++fZl0teslTP18x8efb98573r4Y91lVXfhX2U8C/d+b9+eKH66sd5YZPhfdlqv/1nYKfYkibpV1dWNr3aA8TwOBg9/fZfOG8E58v+N+ztFM1beTvzDk7UnXM55/zNl2dFm7uL39z/vXnrBieJTod0fry13GF8Dq9AjDV3FnprHGxNX7wK8CQoh23DML6m7et7rx1858zY+hRmx2Bb7c1r8bbP5r7l/VP6zSq+7fwrPZxgbkpvY5N+94XB4Pw3/bnxxh0SI9KVj6GSM+xIUAKBeBURKYJIEtLA/+st+CzvnXorLA8getumPNiKwRZydyWRQnA//KQSorsqRi1EimF7dTBJ4UNU6CclfOVOo7euFiBGQjrz4n16gg/ozds9e3+7u8r5j/v+uXU2qL/xyYdiWxADiNtbsUlz/87/PHhdASAeqxlA3Da+s4CU5bpG0sSpzvUlrd7g+B/WtbdC2Jv3nzXttvJnt3b3RVuSt8B8HcjRAWOX/iiw9yNufC1AdDbltnBbKaW35adqIquSI3vYNCiQxHlP2fHOwhWIxXJEu7aZI6wAwuDEAJEqGyCmxQeIZ1I2f3RQpHli8LkAMeGiAogLdKqCEN8dcPaN876HPz5e6hC2qp3zAWKtBK8vIUBUbUmT9KsrK5terQHijRwHYydJ65fB/cTqjZxS+edZ4QnYfp7t44LIGV/8/O1snbet83BdL17Yq/dl1oEdW1OvkzfX4LPTSzBxXuvlHW+Ng63pi1cBnrLLwR35fip9n6+kWl9GGjmtb7ed8bgn+vFJjy15i60X6eagdCKsL/jTX42gEOdN/5ui1+3N/eW9WPhgdsJJu+2T2hFA9GbCSev/N7Tfp4TsIbwpic20tzz2V3RFd/PQ1eIYwB/OG7sW4sXg7epIr8FDVLYu91XC6XN6qgQQ97hOIm9TReb3YPfrz1QAEJ2NEMznm+d7DBCXDGTLASDOtqMDxL04nSPy/Ndqsi53qiuyI1cp2J25ZZxad48SAkTSYBmI/6m/+S+9qdUdBfZ+xI2vBIiRCVxXYG/Ow5MHsieMbvYwHABiYu1ecgAg7u8BIA4PEL0L5FYCVkYBZFtw1yQPf7zWBIi1OucDxEoJ3l9CgKjbkibpV1dWNr2qAsSbd267/tc7DvpnZt43TgIQnS+f/rlU7PxsPw9zepIqdjYpb+q86373dU84gwmi7cns7l80lunytsTB1vTFqwBPR+VAo7pp1434eOO+3IoZUKWtgTdh6zDDxf70HMmHLlkKIdCWJpIyfEGXegvCb5DLQKa5IQlSxCic/ps/2cGmoRKUQKDwhuGY3zY8D+V4a05v3IPX/iTG+B2Zp4PXqfe4ilXC4SXIkVo4LwZvp3ALqvsygBgEcjfhNhj3rbC0/WnI2A6XAMT5rfzPQ9BVxhdGIuGHcRMA4ubh1OHbW/BZdQDiVnF3t6oiDd33L9A8sv1FPA0AIkuPCYkCxNIbjbwTLCf72PXtouN9CACxWA4AxP09AMTRAWJwg60D+fQK0dneuYs/CIorCRCrdR4FiOt1fw2G9+5M6Gyn3JIm6VdXVja9WgPE8Di4niv5J1UHPMA7s4t0Qb6yH53E9aL95H/7422ngbfYKMKJds44b+uX4X21g63pi1cBnmg57L5urMhaS+zHf+/b1zQCk45mTrx9E1+zFGJSrIATMbt8o29t7zjfLG7uvJG32gFEz//Abx1BsM23Yd7f6AfcWU4+OMdqtjPgEs1gTXa+fcU7XeaXA7celACRM9bDdzsDiLcYZxF+HsKZl0lsvtjaBYjJeROYbPsmr0h8Br4W02nZdiK/jFOfxThATEl/FNj7ETc+rrrb4Ui4xmEntwUgLn9fJneI+3/YAPF4ckIBIBbLAYC4vweAODhAnPHWVz9++vTppwd3+uasBV8fO1RbKNrWuYs/phtvi3JLV0vn9dHOu8vs6g/v/SUEiOuWvK8Tn7klTdKvrqxsepUCiNFjkPPmek50C06CwpOm3LMsccv2ol/1N0Xo0FvkSogbHXAw1euC6wDizfvy7cZyv+e7I5rfuDtj8od6DBAPliVXOoBxZ100LrMIQKRrpIHRLVwYbKhSJeDr5vOXCGh6C7bp277l3/wi2D40xziKVwZFNt7Bx9j1YvcnCpUEiLQc0vUQfutqAhCT47keIKYKeF9d9nkIOpFKbH57ZoAYtqUAMVWQdsQDiOsvYcQKOz61qqMAfxOl1QYg+v3U3ljnCnbbt+3l9jZjvO6qR81mASAWywGAuL8HgDg4QPxYUNPEIx4IqtxNzH53j+vjtlcu/piWVHl+i9N5dbTz4U1d7eGtVzW6APHDgYaSLWmSfnVlZdOrAkDc/9z+oue42+K652I9iQMQ6ZJzgOis5c14JwDxtn9hj44oWQMsgJir/L5qVKigTx1ADMqhdAn4uhGAeCM1EJb1Xtf+f09wXRZAJA3zWmXVYeX9WrJ7JkBcX3rbTQ4Q8zIexD5a5W0vCTsA0evmot9AvAEgeh4ZdWlDqXOEUHcAxGgvnQHEWW4YZ28VGfgttm9y17kdTtQkAMRiOQAQ9/cAEAcHiK/LNYIPHvF4CEexSxAnovWrP3svt9t3XfzxXviuZU9L57XRzgOP7oOoPLztsSwuQFy35EOCLWmSfnVlZdOrLEC8bV/j1v/b/+k0cZbknCINriMWcjBD0ZfOpEYA4rrK/s7B1vTFq4CDcnDCbRkPS+BUF5/TX1+ZhwneVjy4wZJgY6wrbZ/JCiXga8twcz/gmTXAW/nN+09dXVaHbwevIuu6H8HbLVUPN/q9QQAQjyIBIL4Fc9wfQAxG6Xl5FVAeIEas/Z8+YHy/ZkxJ2Mnnz7fhNAJAjOZwnnizr1fYODhMVdpE+VqSzX/f9mTb28HUHYz3djppAIjFcowLEO8EQ9EVjnVAsZTNOV0xm6d6ym/udaBsHgeIzaY+rgl8PSDfzCM+BL+dl9T7i3fp3eOquJVpufjj1eOMhbV0XhntPMbmjLXq8JZnLf/vP3gAcduSs/K3pEn61ZWVTa9iv4EYnPzcnJOyw9Mk8QnWUGIDxPXdt/1r7i0EiNsq2zstfwPxtp/j+lGMSh29bgfeNx/6bSv43tEEIG4hvHxVSqBlXZUYQfUu/C/CKaA8v30LaiEbIB5H6gwgLm8CIEYWRb28CqgEEH3/GgAx7CijKM2IN6gvs3XjHQHWqdUdBfZ+OOvdnI/zpjYAcfXnT2Ub0TO5/dUtByCezxwAYrEcAIhpKSmWALsJmqd6ym8+PEDcONPMIyY2VYx2vQaX3rlA0cEfE3wr+/BnR2vnldHOe3DHcM3hzfzwqx9/9gFiQAzzt6RJ+tWVlU2vqwEi9NB2TphaEr7rf0122wXE6AaAeLHYY09NEwsgLj3c9nNBb/m2ZQAQr1Qk7+kQ3g5fHq7sAUR/yRv93vDsAHGbjtsRQAwWMD8K9EW2hB/GAQBict4Wk5APxqzWt0nd2RTj80c1GEC8HY5kq43gX1ASjTKnsqncgJGPxM07xbulZgUAsUmOoQEiBDl6Xa8KXHhECP0UmsiZh7De41cgTqir2k8grp3XRTvBDcx1h7fenRwAxNfgnuXsLWmSfnVlZdOrBEC8JfDAyVfdLs/VLhaZk8Qk7Se82yYIW3gnBgdb8/CcgdPELQc/xRsJ9YziA8QyVv62CAFilRJwtYdpsNEHqCvREHiN/O/L/qJIPYgBoibjti4A4okkH0bXtsffQPRnhPMbiF4Lek3dtuHD9nR7jyMNQLxxEbJQeY2DNDm/gRgOZKsNChDX927uJz5vKpvKi0jJ++0cIN7c3VtEAIjFcgAgQk+ix623D8y08Ij37J/O4ysBECcQ9s36WJDSv4VYtfNNry8BJKw5vF++nb18gPiPHyLXe2ZtSZP0qysrm15qgHh03lPjZAqaFF6BuP7tLPZODA625uE5A6fJVg6tJ2E0cSaQ8YnzP5ltAaJq/BBbOxM5W6sWQORlzBhPrwDRXf1xxARA5PaQ2aQGQHQKYdzzETZA7Pg3EKMqDRD36dpfGdGbmzi22daJpktSb55MNKcCUv0CII6QI6wApwzSj+04eohKZvPwISocq+SDRHpuznkKCsNK2zz3ISr7VYIOQKx0OaB3RaKDPybL//phfSxIYcpXtfNVwdNi7nWH98v/mv9LASK53jNrS5qkX11Z2fQqARBtnYkZU2py/S/K3srut3F6tDgWrwJi5VBrAiBXyU/cvgncj+a+OFhWtgQihlBNnQJEZ3Ow62FMgBg0f0KAuMguQAy0TyPdGuQlKYQB9aQAkcgbS+yTeru5/7BaaWtU0paYDnV542DXdNv3ZmywxKmAlCMA4gg5wgpwygAAsWRzKwDxk6+///Hl5df/47zx08vLy2/++qmGUl1//+LrdyVNq3a+6B9/+tLxfzRP8Lffu/N5sCWPSwAaX/cjiQHijXwBg8SKzuNbbJH/j9Drn/7lZo0B4mLDHhckUYrUu9fc3La/byFbqgoQ166juVEDSsVmMPnvNu52vu1/x2gZuantqQCi+4nZM2zvAiD6FXAZQLzRSdu3PDWJblzD+yBW8ucDiPOwI+/u/40Z760sFAVJ6OXPAohkihgTzamAlCMA4gg5wgpwygAAsWRzAMQzTVYv/0nff+C3WpCvauerpjnzJrFNAgBEiKn7kQ4BYqLJbf7/2/r/orMjWatBtc2hOyvRGbqvDfZpv+8v7utLf2Fp+f0uNrHM2Mg5Op2t9ArhprkFn8v7PViveAWgBGoptYM9mllaD3daD3dNPTBy84f4iHK2irOTu7tv7QV484e5DNxv7pdumGGftG0193AnmqbEC4ilG500d8tHVvea7pVhU8nk7pi4w1unpda2aidnOMG7y3/T7e7u7qJrBQdWb991C4dI3jiagGLK6y5r7dyue8lRq+vrcwAg1mpuFCBOEMrDTj6VKqnvE+zsARZf/v2/Hy/+8kBsEcwoVNXOFx1fgFgvgb+pDrbkcQlA4yt1PHhIDBDXvwNQwT87Ep9WSRvW6PZO/pB1EwWIwSnu3f86vM39viGcU4GzU4Kb5kTSb+x43sLEqlmpoWikExQTXXUdsfc+c7wSIuSbzwm8lN7G2P/jLL5ptjmrAmgJVAaIhXs/7C78OB4viH6kRVEiJetUwzblASAM68Gr122hqgLYI2Ct2wogJkfh1/P2RsFv3MQeOlVkztwtf7i6WwZd/0tG/BN+lPru1m5wGhZp49b+CEV4iw/iJgOIfZ2n7EcOFyD6O6VediV5MbLWzu26lxwAiPt7AIgAiEX0feoyvZ+8q/IeNK5cgKqdOx7JCxArJgBAhJhKHQ8eKgsQM87E7t7Z3HayC2jjyQAAIABJREFUtC51/l6XuuaxDp3/+Lgl6u632AZDh+HBmP3c7u4cd8PA+8on1wnsnbidbn/Tl+GXIn9DJDZSfCPWB4h72ugmOH9rnxV37Oke7+s8xpb6E+d/p7q7TrSBQy784d+WQTp/3pwETq9uaM/Fq/KwLJ0319R3Z9vuXZxtmsgrlVIdk01DGE1604QTErZ03Nx3aAd3vwzoOvvmcL+W7avSfu/+u+FUOj77dLhezFqgFR4Z9Lqi73Z3y4FXD6c7iUNF5/TmTP3dWXYP/j+UF84duTtN7m410qM/yHBawrWCQYTvlvyweP1Cah1NY2xT3iP7Jbf2vCoN3gyLmr59pLvjfXc/IW7huRGcz9Ea3k+4vL0cdrz39xWcHYpzJNoX6qa/Y93OxuZMlrejONiEZ9tYoDVJauH2180thLyR9qis0HkjzFy5Yo5aXV+fAwCxVnMrADHQ9CCOr36c/lo4g/NkjqKanlM8G81ysca7+7CPX74t8qSRTUvns1/pzh+ahhY+7rjF8PyHqPztD/4E52/JU9JUUA29Bh1Wo4eosDu5mTyfKS7+LFw+X7UCoBQ8SSejyiQ22jIogbgyZ6XBJGoBYrEguc5NTFDDg6nmJrW8w4Z2VZvyeMfYwlfoCWa9xhABEGs1B0A80vQAZv8ZwWn8Uec50Itfhc6nGfMfwXxvMzwAxN6sbHodHmbe4sr+QXVXB/1ypPK+1Fzp3cicVwHlgnnGJfpBmrR4aQQlIPLhJSnTExIx5J1HJivg0v2YbXc7QycVkB1dkraFSf42aGHS32zpjwIC01CaD8xVxsP4aiqgwNGtyIENOTQ5wgpwIgAglmxuFCBOF8R5APHjpQJAfPBDj24d4I8qCSoOL0oEWwzPB4h//zaY4mwjk/SrKyubXgCIrcyV3gCIPCFNWgCIWo2cCACxtrudoZMKGACJCT0AEFWFp2oMgHihr6YCbAIz5KCWbgU4EQAQSzYfCSCWvv5vIl0BPzzAHz+Hl9IVkXOBZdnOH3CU3JPcYngMgJi1JU3Sr66sbHoBILYyV3oDIPKENGkBIGo1ciIAxNrudoZOKmAAJCb0AEBUFZ6qMQDihb6aCrAJzJCDWroV4EQAQCzZ3ChAnPDXfP9tvXt8J5JFroVL449fQhJWRItf+c7jQLDF8HyA+I8fgjups7ekSfrVlZVNLwDEVuZKbwBEnpAmLQBErUZOBIBY293O0EkFDIDEhB4AiKrCUzUGQLzQV1MBNoEZclBLtwKcCACIJZsbBYiPJ4A8rp9zAGL4RBCdJoece3yNAcQ4p2sPED+9BldCZm9Jk/SrKyubXgCIrcyV3gCIPCFNWgCIWo2cCACxtrudoZMKGACJCT0AEFWFp2oMgHihr6YCbAIz5KCWbgU4EQAQSza3ChA3zDTziPgNuQo9Ooz0eHyPb7XfQCzeeWLCWgwvAIgBMMzfkibpV1dWNr0AEFuZK70BEHlCmrQAELUaOREAYm13O0MnFTAAEhN6ACCqCk/VGADxQl9NBdgEZshBLd0KcCIAIJZsbhUgbo/amHnEdH0ceaSwQvTxy4s2/PGv8Nbbkr/CSO7QLv4Tj4kLClsMLwCIwUNT8rekSfrVlZVNLwDEVuZKbwBEnpAmLQBErUZOBIBY293O0EkFDIDEhB4AiKrCUzUGQLzQV1MBNoEZclBLtwKcCACIJZtbBYgbZ5p5ROGnFEcev7xoxx+vwa224a24Kr36F1iW7XxSYsJaDC8AiAExzN+SJulXV1Y2vQAQW5krvQEQeUKatAAQtRo5EQBibXc7QycVMAASE3oAIKoKT9UYAPFCX00F2ARmyEEt3QpwIgAglmxuFSA+gNZ0RdyDR0wQquBPIKb5oYM/3v11PpJNJNo63/lo+Z9AjExYi+EFAHHbkg8JtqRJ+tWVlU0vAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3ApwIAIglm5sFiB/LM04mHnEA/ER6T3e3448H6tKAryNtndfgo/f0Lw22GF4IENctueXK3JIm6VdXVja9ABBbmSu9ARB5Qpq0ABC1GjkRAGJtdztDJxUwABITegAgqgpP1RgA8UJfTQXYBGbIQS3dCnAiACCWbG4WIM5POfnqx0+fPv00/VUQsE2EK/UzfA7+mDDjut7jkc0ln3Kydr4+p7jw81lSvzTYYnghQFy35H2hwrlb0iT96srKptchQIQgCIIgCIIgCIIgCLrPHMpROcA2A61AX++LVqdwvZIPcanb+Tx59EK/NsMjz3OutiWhkQWACEEQBEEQBEEQBEEQBEFQUgCIEARBEARBEARBEARBEAQlBYAIQRAEQRAEQRAEQRAEQVBSAIgQBEEQBEEQBEEQBEEQBCUFgAhBEARBEARBEARBEARBUFIAiBAEQRAEQRAEQRAEQRAEJQWACEEQBEEQBEEQBEEQBEFQUocA8S2uz58TCzg66Jcjlfel5krvRua8CigXzDMu0Q/SpMVLIygBkQ8vSZmekIihLdJhBVy6H7PtbmfopAKyo0vStjDJ3wYtTPqbLf1RQGAaSvOBucp4GF9NBRQ4uhU5sCGHJkdYAWuERy/ei/WV92JfT9H8Ld78xJA2vzdqThelm7Nmwht8o+bBlvNGEK2S6IIzST8UYsP2jmaGmDakVRDVpy9irqpWQ69Bh1XOCwCxlbnSGwCRJ6RJCwBRq5ETASDWdrczdFIBAyAxoQcAoqrwVI0BEC/01VSATWCGHNTSrYA1AgDiSV5mcwBEkcSGAIgCQ1oFUZmkX11Z2fQCQGxlrvQGQOQJadICQNRq5EQAiLXd7QydVMAASEzoAYCoKjxVYwDEC301FWATmCEHtXQrYI0AgHiSl9kcAFEksSEAosCQVkFUJulXV1Y2vQAQW5krvQEQeUKatAAQtRo5EQBibXc7QycVMAASE3oAIKoKT9UYAPFCX00F2ARmyEEt3QpYIwAgnuRlNgdAFElsCIAoMKRVEJVJ+tWVlU0vAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3AtYIAIgneZnNARBFEhsCIAoMaRVEZZJ+dWVl0wsAsZW50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q2ANQIA4kleZnMARJHEhgCIAkNaBVGZpF9dWdn0AkBsZa70BkDkCWnSAkDUauREAIi13e0MnVTAAEhM6AGAqCo8VWMAxAt9NRVgE5ghB7V0K2CNAIB4kpfZHABRJLEhAKLAkFZBVCbpV1dWNr0AEFuZK70BEHlCmrQAELUaOREAYm13O0MnFTAAEhN6ACCqCk/VGADxQl9NBdgEZshBLd0KWCMAIJ7kZTYHQBRJbAiAKDCkVRCVSfrVlZVNLwDEVuZKbwBEnpAmLQBErUZOBIBY293O0EkFDIDEhB4AiKrCUzUGQLzQV1MBNoEZclBLtwLWCACIJ3mZzQEQRRIbAiAKDGkVRGWSfnVlZdMLALGVudIbAJEnpEkLAFGrkRMBINZ2tzN0UgEDIDGhBwCiqvBUjQEQL/TVVIBNYIYc1NKtgDUCAOJJXmZzAESRxIYAiAJDWgWzfvn2ZdLXy8udSAULki3kAkDsxwsAsZW50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q2ANQIA4kleZnMARJHEhgCIAkNaBZMWGLgDwZVIkQXJFnIBIPbj1QtAvN1urOZ2vwAqvZ8SIHKrok0agSymEZSAyIeX5E1UBaH6w3X9JVIAxJwtZIeiFXe3M3RSAQMgsTyPvaIrmmzqb7b0RwGBaSgrANHd/1014OK+mgqwCcwK5EgcCW3OR1gBawQAxJO8zObjAcSsM3UzdA0AMdTPf3jZ9dWP941I0QXJFnIBIPbjBYCYIQDE4sE8Y/ImAOJDbdMISkDkw0vyBoB4qHKJABBru9sZOqmAAZBYngcAovYoIDANBYDIV3FfTQXYBGYFcgAghouUzQEQ3cEDIAaGeQJAzDekVRDQwJeX3/5zJVKRBckWcgEg9uMFgJghAMTiwTxj8iYA4kNt0whKQOTDS/IGgHiocokAEGu72xk6qYABkFieBwCi9iggMA0FgMhXcV9NBdgEZgVyACCGi5TNARDdwQMgBoZ5AkDMN6RVcP/XD9tlhB8PHvjNQqRiC5It5AJA7MerF4DIVcXvYOffggEQiwfzjEv0UypNAWr1ZnNuBCUg8uElKdOTIpFXCF0k8lQukQIgilxmZX7OLt2LdnzwKuxOKmAAJCb0SJukS3eA2dIfBQSmoawARL7vye4OANGzV3cSz5F1zKmYI0sX5AgrYI0AgHiSl9l8PID4UO2LgZJJ+nM0M8S0Ia2CmQEuCPCBBr/6cSZSsQXJFnIBIPbjBYC4CQDxDQBxEQBiVgmIfHhJyvQEgMgQAGJldwDEYwEg5ggAsUvjY18ARK6KHNgAEDU5wgpYIwAgnuRlNgdAFCmZpD9HM0NMG9IquL+6D0J5PBzlm5lIxRYkW8gFgNiPFwDiJgDENwDERQCIWSUg8uElKdMTACJDAIiV3QEQjwWAmCMAxC6Nj30BELkqcmADQNTkCCtgjQCAeJKX2RwAUaRkkv4czQwxbUirYPo9w1/9eXv58fhNw4lIRRckW9COuQJA7McLALGVudIbAJEnpEkLAFGrkRNdAxAzZdrdztBJBQyAxIQeTUz6my39UUBgGmo8gGjIV1MBNoEZclBLtwLWCACIJ3mZzQcFiFyZoWtPMMS0Ia2CgP9NFxT+6s8TkYouSLagHXMFgNiPFwBiK3OlNwAiT0iTFgCiViMnAkCs7W5n6KQCBkBiQg8ARFXhqRoDIF7oq6kAm8AMOailWwFrBADEk7zM5gCIIokNARAFhrQKXoM7kKfX301EKrog2YJ2zBUAYj9ehwARgiAIgiAIgiAIekoBIHLzMpubA4gQND8ExcV/7xMe/PTp0z+iC5It5AkAEPvxAkCEIAiCIAiCIAiCQgEgAiBCT68JB3o3IE848OsFINIFyRbyBACI/XgBIEIQBEEQBEEQBEGhABABEKEn16dPf//jy8uv/+fTrp9eXl5+81fJAsiCDusBABGCIAiCIAiCIAgKBYAIgAg9uQAQn06H9YCHqLQyV3o3MudVQLlgnnGJfpAmLV4aQQmIfHhJyvSERAxtkQ4r4NL9mG13O0MnFZAdXZK2hUn+Nmhh0t9s6Y8CAtNQmg/MVcbD+GoqoMDRrciBDTk0OYIK+Pz4v1Xei4NFyuaf481PDGnze6PmicErm2flLd58U9nClH4oxIbtHc0MMW0YlMCnT3/7fYADpzcmHJi/ALIguh9wBIDYylzpDYDIE9KkBYCo1ciJABBru9sZOqmAAZCY0AMAUVV4qsYAiBf6airAJjBDDmrpCACR26J4cwDEEoYAiALDoAQAEJ9OdD/gCACxlbnSGwCRJ6RJCwBRq5ETASDWdrczdFIBAyAxoQcAoqrwVI0BEC/01VSATWCGHNTSrYA1Am5hPsnLbG7uFuZklUQXnMkMXXuCIaYNSRH8/IeXl69+DN747cQJowv+mWrxT1pfTJ1SrXJqaGXTCwCxlbnSGwCRJ6RJCwBRq5ETASDWdrczdFIBAyAxoQcAoqrwVI0BEC/01VSATWCGHNTSrYA1AgDiSV5mcwBEkcSGAIgCQ1IEAIjw2gWA2Mpc6Q2AyBPSpAWAqNXIiQAQa7vbGTqpgAGQmNADAFFVeKrGAIgX+moqwCYwQw5q6VbAGgEA8SQvszkAokhiQwBEgSEpgl++DXDgx8sMEP8eXfDPVAsAxBG8ABBbmSu9ARB5Qpq0ABC1GjkRAGJtdztDJxUwABITegAgqgpP1RgA8UJfTQXYBGbIQS3dClgjACCe5GU2B0AUSWwIgCgwJEUQxYFff0oAxK+TLWh5cQWA2I8XAGIrc6U3ACJPSJMWAKJWIycCQKztbmfopAIGQGJCDwBEVeGpGgMgXuirqQCbwAw5qKVbAWsEAMSTvMzmAIgiiQ0BEAWGpAj+9cPLy6/+7LzxvgDEf0QXJFvQ8uIKALEfLwDEVuZKbwBEnpAmLQBErUZOBIBY293O0EkFDIDEhB4AiKrCUzUGQLzQV1MBNoEZclBLtwLWCACIJ3mZzQEQRRIbAiAKDGkVvL68vHznvJ5w4DcTkYouSLagHXMFgNiPFwBiK3OlNwAiT0iTFgCiViMnAkCs7W5n6KQCBkBiQg8ARFXhqRoDIF7oq6kAm8AMOailWwFrBADEk7zM5gCIIokNARAFhrQKAvw3XV/48t1EpKILki1ox1wBIPbjBYDYylzpDYDIE9KkBYCo1ciJABBru9sZOqmAAZCY0AMAUVV4qsYAiBf6airAJjBDDmrpVsAaAQDxJC+zOQCiSGJDAESBIa2C4BEo0y8c/urPE5GKLki2oB1zBYDYjxcAYitzpTcAIk9IkxYAolYjJwJArO1uZ+ikAgZAYkIPAERV4akaAyBe6KupAJvADDmopVsBawQAxJO8zOYAiCKJDQEQBYa0CgL+N9PBiUhFFyRb0I65AkDsxwsAsZW50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q2ANQIA4kleZnMARJHEhgCIAkNaBY+fNNyegTLBwZdvZiIVW5BsIRcAYj9eAIitzJXeAIg8IU1aAIhajZwIALG2u52hkwoYAIkJPQAQVYWnagyAeKGvpgJsAjPkoJZuBawRABBP8jKbAyCKJDYEQBQY0ip4XEG48sDH7xl+9eNMpGILki3kAkDsxwsAsZW50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q2ANQIA4kleZnMARJHEhgCIAkNaBTMCnBnggwxOlxM+iFRsQbKFXACI/XgBILYyV3oDIPKENGkBIGo1ciIAxNrudoZOKmAAJCb0AEBUFZ6qMQDihb6aCrAJzJCDWroVsEYAQDzJy2wOgCiS2BAAUWBIq+B+//kPL66m3zOciVRkQbKFXACI/XgBILYyV3oDIPKENGkBIGo1ciIAxNrudoZOKmAAJCb0AEBUFZ6qMQDihb6aCrAJzJCDWroVsEYAQDzJy2wOgCiS2BAAUWBIq+C+Xka46HFh4UKk6IJkC7kAEPvxAkBsZa70BkDkCWnSAkDUauREAIi13e0MnVTAAEhM6AGAqCo8VWMAxAt9NRVgE5ghB7V0K2CNAIB4kpfZHABRJLEhAKLAkFbBpMeDUGbNP224EimyINlCLgDEfrwAEFuZK70BEHlCmrQAELUaOREAYm13O0MnFTAAEhN6ACCqCk/VGADxQl9NBdgEZshBLd0KWCMAIJ7kZTYHQBRJbAiAKDCkVTBrAYIrDNyJVLAg2UIuAMR+vAAQW5krvQEQeUKatAAQtRo5EQBibXc7QycVMAASE3oAIKoKT9UYAPFCX00F2ARmyEEt3QpYIwAgnuRlNgdAFElsCIAoMKRVEJVJ+tWVlU0vAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3AtYIAIgneZnNARBFEhsCIAoMaRVEZZJ+dWVl06sLgHi73bjN7X4BVHoPCxCXja+dnkJpFj1zGkEJiHxcxXcApcbdI67rL5ECIGbswA1RtOLudoZOKmAAJJb2OK7eQiaH6m+29EcBgWmo3gAiZz931YCL+2oqwCYwa50j57AJgJhjSJvfGzV/WoCYVcxvu2W+kkn6czQzxLQhrYKoTNKvrqxsegEgZggAsXgwAESG2qYRlIDIxxUAolTlEgEg1na3M3RSAQMgsbQHAGJ8Zd1RQGAaCgCRr+K+mgroG9z1kgMAEQARADFbyST9OZoZYtqQVkFUJulXV1Y2vQAQMwSAWDwYACJDbdMISkDk4woAUapyiQAQa7vbGTqpgAGQWNoDADG+su4oIDANBYDIV3FfTQX0De56yQGACIAIgJitZJL+HM0MMW1IqyAqk/SrKyubXl0AxAzZ/QKo9B4WIDrGJfpBmrT6BYjpJGV6QiKG5ABR5CKSaXc7QycVMAASE3oAIKoKT9W4N4D4VL6aCugb3CEH39KtgDUCAOJJXmbzoQBivszQtScYYtqQVkFUJulXV1Y2vQAQW5krvQEQeUKatAAQtRo5EQBibXc7QycVMAASE3oAIKoKT9UYAPFCX00F2ARmyEEt3QpYIwAgnuRlNgdAFElsCIAoMKRVEJVJ+tWVlU0vAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3AtYIAIgneZnNARBFEhsCIAoMaRVEZZJ+dWVl0wsAsZW50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q2ANQIA4kleZnMARJHEhgCIAkNaBVGZpF9dWdn0OgSInyuoVr/dm9sYeIMKSBu3czvTM6e5rASiSS60j+g5Eh1WwLVT8MTuLc31+4AmaYcx6W8gpY4Cl31krjIexvfi84BeDrVPnCOoAABEbl5mc3MAsY/CbG74BENMG9IqiMok/erKyqYXAOIzeAMgZuqZ01xWAtEkF9pH9ByJDivg2il4YveW5vp9QJO0w5j0N5BSR4HLPjJXGQ/je/F5QC+H2ifOEVQAACIAYg+F2dzwCYaYNqRVEJVJ+tWVlU0v3MLcylzp3cicVwHlgnnGJfpBmrR4aQQlIPLhJSnTExIxtEU6rIBL92O23e0MnVTAADflCj2amPQ3W/qjgMA0lOYDc5XxML6aCrB5yy5yUEu3AtYIAIgneZnNzQHEZJVEF5zJzP29TzDEtCGtgqhM0q+urGx6ASC2Mld6AyDyhDRpASBqNXIiAMTa7naGTipgACQm9ABAVBWeqjEA4oW+mgqwCcyQg1q6FbBGAEA8yctsDoAoktgQAFFgSKsgKpP0qysrm14AiK3Mld4AiDwhTVoAiFqNnAgAsba7naGTChgAiQk9ABBVhadqDIB4oa+mAmwCM+SglhC0qWxhmqFrTzDEtCGzNEzSr66sbHoBILYyV3oDIPKENGkBIGo1ciIAxNrudoZOKmAAJCb0AEBUFZ6qMQDihb6aCrAJzJCDWkLQprKFaYauPcEQ04bM0jBJv7qysukFgNjKXOkNgMgT0qQFgKjVyIkAEGu72xk6qYABkJjQAwBRVXiqxgCIF/pqKsAmMEMOaglBm8oWphm69gRDTBsyS8Mk/erKyqYXAGIrc6U3ACJPSJMWAKJWIycCQKztbmfopAIGQGJCDwBEVeGpGgMgXuirqQCbwAw5qCUEbSpbmGbo2hMMMW3ILA2T9KsrK5teAIitzJXeAIg8IU1aAIhajZwIALG2u52hkwoYAIkJPQAQVYWnagyAeKGvpgJsAjPkoJZuBawRHr14L9ZX3ot9PUXzt3jzE0Pa/N6oOV2Ubs6aCW/wjZoHW84bQbRKogvOZIauPcEQ04a0CqIySb+6srLpBYDYylzpDYDIE9KkBYCo1ciJABBru9sZOqmAAZCY0AMAUVV4qsYAiBf6airAJjBDDmrpVsAaAQDxJC+zOQCiSGJDAESBIa2CqEzSr66sbHoBILYyV3oDIPKENGkBIGo1ciIAxNrudoZOKmAAJCb0AEBUFZ6qMQDihb6aCrAJzJCDWroVsEYAQDzJy2wOgCiS2BAAUWBIqyAqk/SrKyubXgCIrcyV3gCIPCFNWgCIWo2cCACxtrudoZMKGACJCT0AEFWFp2oMgHihr6YCbAIz5KCWbgWsEQAQT/IymwMgiiQ2BEAUGNIqiMok/erKyqYXAGIrc6U3ACJPSJMWAKJWIycCQKztbmfopAIGQGJCDwBEVeGpGgMgXuirqQCbwAw5qKVbAWsEAMSTvMzmAIgiiQ0BEAWGtAqiMkm/urKy6QWA2Mpc6Q2AyBPSpAWAqNXIiQAQa7vbGTqpgAGQmNADAFFVeKrGAIgX+moqwCYwQw5q6VbAGgEA8SQvszkAokhiQwBEgSGtgqhM0q+urGx6ASC2Mld6AyDyhDRpASBqNXIiAMTa7naGTipgACQm9ABAVBWeqjEA4oW+mgqwCcyQg1q6FbBGAEA8yctsDoAoktgQAFFgSKsgKpP0qysrm14AiK3Mld4AiDwhTVoAiFqNnAgAsba7naGTChgAiQk9ABBVhadqDIB4oa+mAmwCM+Sglm4FrBEAEE/yMpsDIIokNgRAFBjSKojKJP3qysqmFwBiK3OlNwAiT0iTFgCiViMnAkCs7W5n6KQCBkBiQg8ARFXhqRoDIF7oq6kAm8AMOailWwFrBADEk7zM5gCIIokNARAFhrQKojJJv7qysukFgNjKXOkNgMgT0qQFgKjVyIkAEGu72xk6qYABkJjQAwBRVXiqxgCIF/pqKsAmMEMOaulWwBoBAPEkL7M5AKJIYkMARIFhUAIvm776cX7n5z+8ePrOWfuXbx9vfU1LSSMAxH68ABBbmSu9ARB5Qpq0ABC1GjkRAGJtdztDJxUwABITegAgqgpP1RgA8UJfTQXYBGbIQS3dClgjACCe5GU2B0AUSWwIgCgwDEqAAsSPlxRAXPBhcYQIgNiPFwBiK3OlNwAiT0iTFgCiViMnAkCs7W5n6KQCBkBiQg8ARFXhqRoDIF7oq6kAm8AMOailWwFrBADEk7zM5gCIIokNARAFhkEJUID4mgKI3qWJ69olBIDYjxcAYitzpTcAIk9IkxYAolYjJwJArO1uZ+ikAgZAYkIPAERV4akaAyBe6KupAJvADDmopVsBawQAxJO8zOYAiCKJDQF5U9WuAAAgAElEQVQQBYZBCexIcLmo8F8/JABicGvzb/9J60koAMR+vBoDxNvtlu6XI7tfAJXewwLELyWxGqv6KZNm0TOnEZSAyMfVXAOxJAL7iPrDdf0lUgDEW3z7HbuIdOleFAAxr4fMJpcBxOPqLWRyqP5mS38UEJiG6g0gcvZzVw24uK+mAmwCs6imryw95LhgPsIKWCMAIJ7kZTYfEyCyTwbN0DUAxEDvDhCc7lP+8jchUjNYfFx4ON/k/E2sJ5EAEPvxAkBsZa70BkDkySKyO1PbNIISEPm4AkCUqlwiAMTa7naGTipgACSW9gBAjK+sOwoITEMBIPJV3FdTATaBWVQAiFsFrBEAEE/yMpsDIIqUTNKfo5khpg1pFTyA4HZL8nSh4dcRIvXhQMMHTCx3EzMAYj9eAIitzJXeAIg8WUR2Z2qbRlACIh9XAIhSlUsEgFjb3c7QSQUMgMTSHgCI8ZV1RwGBaSgARL6K+2oqwCYwiwoAcauANQIA4kleZnMARJGSSfpzNDPEtCGtgse9ydsvHb7PLwiRenUfnfJ4nEqxSxABEPvxwm8gtjJXeg8LEB3jEv0gTVr9AsR0kjI9IRFDcoAochHJtLudoZMKGACJCT0AEFWFp2rcG0B8Kl9NBdgEZshBLd0KWCMAIJ7kZTYfEyCyZYauPcEQ04akCB6XE+5PVX59efnVnymRmijj9P6ij5K/ggiA2I8XAGIrc6U3ACJPSJMWAKJWIycCQKztbmfopAIGQGJCDwBEVeGpGgMgXuirqQCbwAw5qKVbAWsEAMSTvMzmAIgiiQ0BEAWGpAjevduRJ5w4vQqJVEAMp0sQHZ6oEwBiP14AiK3Mld4AiDwhTVoAiFqNnAgAsba7naGTChgAiQk9ABBVhadqDIB4oa+mAmwCM+Sglm4FrBEAEE/yMpsDIIokNgRAFBiGNeDfwPwgg9PliCGReg3uWX71WukEgNiPFwBiK3OlNwAiT0iTFgCiViMnAkCs7W5n6KQCBkBiQg8ARFXhqRoDIF7oq6kAm8AMOailWwFrBADEk7zM5gCIIokNARAFhmENeL9tOPPEb5ZHLjuE8PGGCwzfC/4IIgBiP16HABHK1vyUGAhyhaqAVqEW+MJcQVaF2oVkQuVUFiZYJABEbl5mc3MA8VD4VD2DpluT3XuRJzD4XzM+dBHiBBC9W5bffe6oEgBiP174zJcV9qIQFaoCWoVa4AtzBVkVaheSCZVTWZhgkQAQARAPhE/VM+hPLy8v//Fp1/cvvn43v/33P768/Pp/nPV++rLsN3/9BNnTYT3gMw9BEARBEARBEASFAkAEQISeXC8+GPzHn16iBBEAcRwd1gMAIgRBEARBEARBEBQKABEAEXpyBRcgTqDw5eXf//vx4i8Pgvif059/+30AEKc3ABBN6rAe8BCVVuZK70bmvAooF8wzLtEP0qTFSyMoAZEPL0mZnpCIoS3SYQVcuh+z7W5n6KQCsqNL0rYwyd8GLUz6my39UUBgGkrzgbnKeBhfTQUUOLoVObAhhyZHWAFrBADEk7zM5uYAYrJKogvOJP1QiA3bO5oZYtowKIHIhYXrbcvL9YgPTAiAOI7ofsARAGIrc6U3ACJPSJMWAKJWIycCQKztbmfopAIGQGJCDwBEVeGpGgMgXuirqQCbwAw5qKVbAWsEAMSTvMzmAIgiiQ0BEAWGQQmQZym/z89GmUnTL98uD1KZHs781Y/OatMbv/0nLSmJTqlWOTW0sukFgNjKXOkNgMgT0qQFgKjVyIkAEGu72xk6qYABkJjQAwBRVXiqxgCIF/pqKsAmMEMOaulWwBoBAPEkL7M5AKJIYkMARIFhUAL+s5V3LURqfdgyAOKTeAEgtjJXegMg8oQ0aQEgajVyIgDE2u52hk4qYAAkJvQAQFQVnqoxAOKFvpoKsAnMkINauhWwRgBAPMnLbA6AKJLYEABRYBiUwHy9IdVCpD5eZk44XYroAcR1QQkBIPbjBYDYylzpDYDIE9KkBYCo1ciJABBru9sZOqmAAZCY0AMAUVV4qsYAiBf6airAJjBDDmrpVsAaAQDxJC+zOQCiSGJDAESBYVACjxuUI1qI1HrlYRQgJthjtgAQ+/HqFyDebrfS3gCIrBXPK6BcMM/YeRnf+lelEctiGkEJiHzO9aUIhsV1/SUqChDTn187FK24u52hkwoYAImJPKZdUHWTHmdLfxQQmIbqCSByz0iuGnBxX00F2ARmA+VIVCsAIgBiLYCY/ZXNDF0DQNzlUUFHC5FaweG/fnjxb3Z+B0Ac0ss2QMzdZ7HN4wJALB7MM3ZeKgGiuHk8jVgAiBrJAWK4/fvDdf0lAkCs7W5n6KQCBkBiIg8ARPFRQGAaCgCRr+K+mgp4WnDXS44aAPHz4/9WeS8OFimbf443PzGkze+NmicGr2yelbd4802HhRkrucOdphm6BoC4KwUBA4B4f12eprJqAojfxJtmCwCxHy+DANFZAIBY2pxXAeWCecbOS+6WJesBIKY1LkAMtzcAokAAiJXd7QydVMAASEzkAYAoPgoITEMBIPJV3FdTAU8L7nrJAYAYo2ANmj8pQLw9xC1DSTEGhiIBIOYbBiWQuIPZvYX58VOHATCcrkhM3f2cLQDEfrz6BYhJbwDEiua8CigXzDMWNANAzJA1gMi3B0AsoJIAkeEikml3O0MnFTAAEhN6NDHpb7b0RwGBaaieAOLT+Woq4GnB3VA5wgpYI2Tdg6xs/hZvfmJIm98bNaeL0s3r3YOsbB5sOW8E0SpJfeECQGxsWB0g/ui92u9Udh6i8rhIMXhoynRlYuL5zfkCQOzHyzZAbG8ul9IbADGqBEC8KA2RxTSCEhD58JLw1jzbJ/SH6/pLBIBY293O0EkFDIDEhB4AiKrCUzUGQLzQV1MBNoEZclBLtwLWCACIJ3mZzccHiIcyQ9cAEHcFD1J+XS80XIjUdudyQAxLPoQZALEjL4MA0ai50hsAkSekSWtcgHgmJGIIALGyu52hkwoYAIkJPQAQVYWnagyAeKGvpgJsAjPkoJZuBawRABBP8jKbDwQQJTJD155giGlDWgWupjuVH795OBOpj5ft4cuv7lNTJpxY7CcQARA78gJAbGWu9AZA5Alp0gJA1GrkRACItd3tDJ1UwABITOgBgKgqPFVjAMQLfTUVYBOYIQe1dCtgjQCAeJKX2RwAUSSxIQCiwJBWgasHGZw44YNIuZxwYokrQXz8AmLq+c35AkDsxwsAsZW50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q2ANQIA4kleZnMARJHEhgCIAkNaBZ6mSxCne5UnIjVddLjdqPyAhjM1fLDEchcgAiB25AWA2Mpc6Q2AyBPSpAWAqNXIiQAQa7vbGTqpgAGQmNADAFFVeKrGAIgX+moqwCYwQw5q6VbAGgEA8SQvszkAokhiQwBEgSGtAk8zJ9y1/+7h9EBmR8V+AREAsScvAMRW5kpvAESekCYtAEStRk4EgFjb3c7QSQUMgMSEHgCIqsJTNQZAvNBXUwE2gRlyUEu3AtYIAIgneZnNARBFEhsCIAoMaRX48gmi+6TlD3dBuRuYARB78gJAbGWu9AZA5Alp0gJA1GrkRACItd3tDJ1UwABITOgBgKgqPFVjAMQLfTUVYBOYIQe1dCtgjQCAeJKX2RwAUSSxIQCiwJBWQaj31GWGj59EnPV1qrFEAIj9eAEgtjJXegMg8oQ0aQEgajVyIgDE2u52hk4qYAAkJvQAQFQVnqoxAOKFvpoKsAnMkINauhWwRgBAPMnLbA6AKJLYEABRYEirgOojRQkXhFgUHwIg9uTVDUC83W6c5na/ACq9nxMgMquiUZp8WUwjKAGRDy/J9N/sIiDqD9f1l0gBEHM+pnYoWnF3O0MnFTAAEsvz2Eu6osmm/mZLfxQQmIayAhDd/d9VAy7uq6kAm8CsQI7EkdDmfIQVsEYAQDzJy2w+JkBknwyaoWsAiOcySb+6srLpBYCYIQDE4sE8Y/ouAOKktmkEJSDy4SWZ/guAmFa5RACItd3tDJ1UwABILM8DAFF7FBCYhgJA5Ku4r6YCbAKzAjkAEMNFyuYAiO7gARAjhnwBIOYb0iqIyiT96srKphcAYoYAEIsH84zpuwCIk9qmEZSAyIeXZPovAGJa5RIBINZ2tzN0UgEDILE8DwBE7VFAYBoKAJGv4r6aCrAJzArkAEAMFymbAyC6gwdAjBjyBYCYb0irICqT9KsrK5te3QBEpux+AVR6PydAzBfSpGUVIOqFRAzJAaLIRSTT7naGTipgACQm9ABAVBWeqrEVgDikr6YCbAIz5KCWbgWsEQAQT/Iym48JENkyQ9eeYIhpQ1oFUZmkX11Z2fSqDxCDf5A46Jej1Tv/0rSC5iIpvccBiPFNlzs9qQKwiOzO1DaNoASyfXgfX4Y9czfQH67rL5ECIJ5sTm+xHYpW3N3O0EkFDIDEfA/+CUTE5KztALOlPwoITENdDxBTZZIun6sGXNxXUwE2gVlUX7Z0Fzny5qPIlZBhBawRABBP8jKbDwUQb7fc7+Rm6BoA4rlM0q+urGx6ASAKzEVSegMgcnqxiezO1DaNoASyfQAQ+0sEgFjb3c7QSQUMgMR8DwDE85V1RwGBaSgARL6K+2oqAACxeI68+QBABEAEQLzc0cwQ04a0CqJqTb9+/sP0eOfvWljV9jDtBYBIlO5aZprjfSAAREYvVZFdxLL4N0l+GoEAELVaEkUroc3ZUyJRCXUEEJMdXroXBUDM6yGziVWASLsaYLb0RwGBaaiBAWK8AwBEz17dSd8AMeucIW8+ABABEK8AiDkU0QxdA0A811MDxNff/rOZVxkZAojsSmWpwXcwAMTTCigXzDMu0Q8AYlr9AESeSo0bAJElOUAUuRwJALG4OQCizOPcBACxlGmo6wFiNV8AxBMVObD1naMiQMzKcWTpVsAaAQDxJC+z+VAAcRYA4rWGAIjlrc7W+Xh5AUCMqmyNzlL+gx4AYl1zXgVIgp1MnnZ6MtOcKJoGAFHrk/kBKjVuAESWNFcgClyOBIBY3BwAMe5x+sE9NQFALGUa6jqAKD/VY/oCIJ6oyIGt7xy4AhEAcRiAOFccAOK1hgCI5a2O1/jl2xcAxITK1uis/gFiJXOlNwAiTxaR3ZnaphGUANdnFIBYQP0l6gkgJnXpXhQAMa+HzCZWASLD5Ez9zZb+KCAwDTUwQEz4AiC69upOnjYHACIA4hUAMUdm6BoA4rmeFiB+vAAgpvQ5R192IMzV8votqexBDeLNN9dUgCtaDSf1cen0ED1zmnolwN1HuEnE9lX0HIkOK8B7Z9mgeZtVG62VV2fuLc31+4AmaaUm7n7odJ/UYiT9zVapo8BlHxmZ8VoNmUcqta9exX1LVYDCvrVnTDZzyOs3sHQEgMjNy2xuDiAeFeatSMlxy7KN02WOHRnSKogKALGBVznZBYjZ/ZbUleY2Bq6pAFfZR5NLp4fomdNcVgLRJMouCus5Eh1WgPdOs5PGqHtz2diHF/LS7QOapJWaZJVti5H0N1uljgKXfWRkxnYPWsV9S1WAwr61Z0w2cwAgAiC2BYjtzgWTScZx7MiQVkFUAIgNvMqpw1uYmZcwH/TLkd1b0JTexm5hzr6gXTs9h2my9cxpBCUQ9VH9YuiWRNnFov5uGO4vkeQWZsE2tnMfb3F3O0MnFTDATbmOR+2nFwwwW/qjgMA0VPtbmJfK6OlW4qt8NRXwtLcO95IDtzADIJYHiMkqmf6bfS5o5v5euaOZIaYNaRVEBYDYwKucOgSI6kplye4XQKW3MYCYLe30rEKatNoCRL1KjRuJWBIARI2LSKbd7QydVMAASEzoAYCoKjxV4/YAUW88jK+mAp4W3A2VI6yANQIA4kleZvOxAGK2zNC1Jxhi2pBWQVQAiA28ygkA0Zy50hsAkSekSQsAUauREwEg1na3M3RSAQMgMaEHAKKq8FSNARAv9NVUgE1ghhzU0q2ANQIA4kleZnMARJHEhgCIAkNaBVEBIDbwKicARHPmSm8ARJ6QJi0ARK1GTgSAWNvdztBJBQyAxIQeAIiqwlM1BkC80FdTATaBGXJQS7cC1ggAiCd5mc0BEEUSGwIgCgxpFUTVDUB8fXnom/xuf/l2burSwH1YH/PCl1/92W+VAIhzvjRa/NcPQV+p/uvo6QDi+gMLu7fkJ9aE5qsAEIsH84zpu4cbObrQIrI7U9s0ghIQ+fCSTP89/qhz9gP94br+EhUHiHTDTBvSDkUr7m5n6KQCBkBiQo8vJnT/c3LyMcBs6Y8CAtNQnQHEaaufnnZeNeDivpoKsAnMWufI+grzZWUARK4hbX5v1PyJAeLtoeg6UZmhawCI57oWID5efbczQA/dPVgdIYqPJl/9uL1+fXG0rbwMa+6C9OzauazQX91z/phdA1yY6L+erALE6SgY7fdszwOAOC5AfGzJqNvxAQkAMVM9A8TYxlzsT05LABDL9CQBiMuWiW8gAMSezAEQ2R4zKNpNABABECdtADHc+m45XDXg4r6aCugb3GWpIrirCBDxEBUAxIYAcdkzAiBebfjcAPHDxXD7tXzvMSr36rG99YLBVStZnIfl97v7JgDie7C2gykXgLh3+M36Zqz/egJABECsYs6rgHLBJgEgnqhtGkEJiHx8ASDKVC4RAGJtdztDJxUwABLjewAgAiDG3gVA1PSXqSIHNgBETo6UwgpYNwkA4kleZnMARJGSSfpzNDPEtCGtgqh6AIghh1sJ4mNpcGvwg/35iDHW9jEswvdW8hgFiP7VhF6Q+wIQ//9vvSXJ/uvp6QAi9Q5bcHo4GFSeuUBK72cFiLzW+58Wkd2Z2qYRlIDIx9cxQMxqH1m/P1zXX6LiAHFbx1vXDkUr7m5n6KQCBkBifI8QIB6ZRL8zDTBb+qOAwDRUZwBxk7vJt+/ODXyPVNxXUwFPCxCLgLtecoQVsG4SAMSTvMzmQwHEm3/UZMgMXQNAPFcHAPF//yHEcF/PS2P3MHs/XRgheAv0261iS6MA8ZWu7RDEB0D8v72E6f7rySpAPP5opL6HOv+0AYBY15xXAeWCecb03SNAQZcBIB6rZ4CYSjL9l1EFAIh6CQCiKzLt25bxltuhaMXd7QydVMAASEzo8bZfgRjbAQEgFjQN1RlATB+AABDP+8tUkQNb8xwjA0To2ZWskvWfUAAQLzZ8ZoDoULx3H8NFHnTi3sG8tp5frlcQPtafrF69vl4dNhkDiOvFjF97XW93MW+s8rvHut9tPf7qz/MUuv3Xk2GAeAD6ABAvN+dVgDoY3VhxNwDESW3TCEpA5HP+gV3tARDTKpeoAEAM98jufwAQDQ2dVMAASOzEI7k7Wq+vAECUSNX4WoAYbNnEDXoAiMz+MlXkwAaAyMmR2vXdIchVskoAEDsxfHKAGD7e5BvnlXdR3+OdheotxHC/QtF544vT3791ndaufSK4w8klyf7Ghw8EP4Kga3/fbVMY9F9HAIh5Pazm6UFxBIBYKlhBgEjSZP0OR0LajbUKADGtsgDxeEl/uK6/RLUB4ht+A9HM0EkFDIDETjyEAHFtzDNJqb/Z0h8FBKahLADE/ZcRS/nKVNxXUwFPCxCzcmSdqQIgQlcrWSXJneORzNA1AMRzdQEQncv2Zgy3vuE/MeW+cLyvnb/955a8rgzvi9Pf/hBcEOhbBwDxlVw/OCfxLob0YObPa//rFPr915EpgOjtWo4AIqMPAMS65rwKUASbtxAXIOb9k9acBgAxpV4AYqoGYkneWGumXXiJuCq1JXpMpAWIqc0EgNiFOQDisccBQJy/IB31CoBYxDRUbwAxum7w/lUDLu6rqYC+wV0vObLOa/JyACBC5ZUuTAE/tEPXABDP1QNA9K7ae3XBXngP83yN4XfO3/4vJG7vfXH6idxR7OFIv2ufW7rhvnFW91bYWOY2hQR3lpdVgHhLPUSFKwDEuua8ClAEi/xS2uMt7fTsaQAQU+oLIAbvRLaabtwAiJmSA0TuRw4A8TpzAMSkR+SQlGkCgFjENNS1AJEqepQCQOT1l6kiB7a+c/QCEI8s3QpYIzx68V6sr7wX+3qK5m/x5ieGtPm9UXO6KN2cNRPe4Bs1D7acN4JYley3COaUtBm6BoB4rh4AosftPlyk6ALDbf1l4eNv/wcSdyy4XoHoscmP8LHKe/OP8PrCSS7LpJc7blm2Kfyo/gyVJwCIVX5M5GBQHAEg6oMdA0Q9/LOI7M7UNo2gBDJ9TgDi9mepcfeI6/pLVBQgpj/IdihacXc7QycVMAASS3tEAaJmLzTAbOmPAgLTUF0ARP/IdHp+ctWAi/tqKqBvcNdLjl5uYU4prIB1KgAQT/LGmv/b6ABx+jvrQkQzdA0A8Vw9AETvrt+fPe737gPG9/CawPB6v/U3EleAmL6l2AeIgY8TZWGClDD+vPbfegqLdNT4NxDZADG1J6r4Hex83weAWDxYHCAqOGIpZFfiOkYARK5iAFF9tbIq0Sb/Bxh6SOSpXCIJQEx+XtkAMfNzduleFAAxr4fMJn0CxMduKNpVQUje32zpjwIC01A2AGLOBasnuzsARM9e3UkBcNdLDgDEDEPa/N6o+fMCxOW3YAEQrzSsDhBfVrlAbXlkCX1ycHKBSgmA6F+25wNE/9XjgkTvscohHlzX+OL0jx/WIUeH4QHE2O3Q/vWP3oWRztJJvwNA1FSqJ7onmt9Ie3N2XYfmAIhvVwBEx/gEIHK2cBnuB4CYVwIin6SOASJrw4QrASAyJAeI9FV6KzF/WSyhS/eiAIh5PWQ2uQwgEq3fhZafagVABEBMa6sTji8AIldFDmwAiJwcKYUVsE4FAOJJ3ljzkQHi8hCVW15Fm6FrAIi7IgBxoYQUsSUXKJUAiP6Di93nLIf3MLt3Le/8jmq+KvDDfYsMhAJEev+x86OG4a8x3rcHM1eYqLSeASBG34l4Z1y1dmgOgPh2OUBclAkQWeAiMw0AYkYJiHzOlA0QD8oAAJGhkgAx1L4IAPEacwBEvseGDt9OAGKidgeYLf1RQGAaqguAeCTnqhsAxJP+MlXkwAaAyMmRUlgB61QAIJ7kjTV/BoCYdzJnhq4BIO6iAHG5BXeWC/GSC7RKAEQfy/kA0XvssncH8xFA/GYGba/+u/5QPCIYmK5y/CIA8bj/OhoaILqn7+G7FQHiuQAQiwfzjKf/HmzNpgCxJbI7U9s0ghIQ+RzIuQYxtSzdKrZSf7iuv0QSgOhpO3+MbKIkQMzUpXtRAMS8HjKbdAYQb+v/HxW8wsRVf7OlPwoITEP1AxDjZ6MrQJz/rOHLV3FfTQX0DRB7ydELQEzlCCtgnQoAxJO8seZDA8TbdrCMrhKXGboGgLiLAEQPE7psLLlALQlAdF8+mOG6yLlMMgUQKWN0rhNkA8Sv6eqLDvuvo+cBiME+6eEt/g7KMHcjhAJALB7MM57+y8LBB0urIDtxwQEginQEEL3VmiVaVOjC1LdRAeL2R5ohZlwCFtGle1EAxLweMpv0AxAf2ihiYMLYBQwwW/qjgMA0VFcA0fuGnC6CiC//oAGA6NmrO+k7BwAiAOIIAPHmKLpKXGboGgBiWjP8+urHT58+/fSyX2i3L7iv9+iGvwwolwQguj916F2NyACIwV3Gk/bblAsAxMP+6wgAsZa5GyEUAGLxYJ7x9F8AxNM0YgEgagWACIBo1BwAMdMDAFF3FBCYhgJA5Kv4RGsqoG9w10sOAEQARADEbCWT9OdoZohpQ1oFntZnGE9Eyruyz324sbdALxFAdKih99gUFkCkq22ErwhAPOi/joYGiJ5yAOLp/ottDoB4WAHlgnnGzksFQCzBeLLSHAgAUSMVQPS2GQAiQ1qA6IoHEDl3o0vc0wJAZHt5FTAAEuN4kLqb+SEAYqaV0DRUPwBx58nea54vAKJARQ5sfefoBSCmFFbAOhXPCRAjBBAA8W0BiG8AiF0YNgeIrwsaexCpBwX7xl/wkLtALxFA3J9vEnm8ShLXeaDN+63C1Y0CRNrZyW8grl7fx/qvo8EBYvo87dC7HECMCwCxeDDPeP37dDu2BohiASCKFfnqnlzx9O3+cF1/iYoCxEnn/wqT/0m9dC8KgJjXQ2aTKwBiUKOxktWbnKu/2dIfBQSmoToCiKQwMgCixpet4r6aCugb3PWSoyJAzMqRUlgB61QAIJ7kZTYfBSBOCw7vOonLDF0DQExqIncPYDYTqY+NfG0LZn2URGIigLhTPPfayPD5zDEr740dIi5N9E9h9rxI/3U0FkCM/bt/YtnkndwrASCqzXkVUC7YttFct9MrTAEQReoXIEY2WRIghtsXALFMTwqAGN8E3k9RUJc3AMSW5gCIMY/lujLvZdqEW68DzJb+KCAwDdUbQLztz0wBQMztL1NFDmzNcxS5dTjVc60cKYUVsE4FAOJJXmbzEQGiX3gAiI0NWwPEDQzORGqidjM/C4jhvqCAZABxW+fVh3wO3Ytbhe8tT4dZmlCASDpzGeUZQCT919GTAsQvLw4A4vnh+GBQHAEgFg/GA4jhDyPm/gZiNlPUbqzDNNlqm0ZQAiIfVyyAGFaB//Zx94VuPC61JZ4FIEb+XdoORSvubmfopAIGQGJRjwAgpk0YKyZNztXfbOmPAgLTUB0CxNPb9K4acHFfTQUAIBbPgd9AzDCkze/q5gCIGQAxca7uyQxdA0BM6nUlXQuRel1J2WuAwF4LXlMnA4jr1YGPBc6670c3DEdB2wwEl/uzfSLo/Nrhrke6BVkyAKLffx2ZAYhkDxLrl/P9ft07FQSI2VgBAFEfLAUHD92ShyP6jhogPtbVbqzDNNlqm0ZQApk+se2YSkKbHV3uxjZkqNDtjAk9AUB8i97YYoeiFXe3M3RSAQMgMc8j+HfJcxMARJlUjS8HiM7z604AACAASURBVPQOdwBEaX+ZKnJgGwggVswBgAiAWAIgTq/oSXpyf2mGrgEg7vJvrn2grsfLhUi9L9xwX7DoveA1dTKAuN667N/BvF7wF8DNL633Cytfw+eifCQB4uNVeKnlq7NKDCAu/e9Q7wMAcVUaIGZ+qXcAYnqVs078QQEgxlc8rwBFsMM7f07vXT5fAICYVr8AMb40sJczQgBEjuoAxKSLSJfuRQEQ83rIbHIZQFwVL+PZJGsXMsBs6Y8CAtNQvQFEzj0QVw24uK+mAp4WIGblyNqn5OUAQARAbAgQyT+sACBeY9gEIO64beKEMy5zAOLX3oJF7wWRmBAgLpcevsauTKRMbwaBnz79/Y+UL6YB4vwwZb+zOWp09a3Fd/cRAWKJ/m8ph/SS/G4lXT12efIEkEyHk36+ReY16m05VEUDHU8xYwMsq9TcUiiEDMWniuykMZ9QJ4oWI69CsWN4HoWbenu9HYFQCpBUFaunRtcAiNy8zObmAGJS64/VLH9ntIRsaXnCx+8+PTTRtV//z6ddP31Z9pu/Hiwopb/9forxn+4rv/sH+PMiPJ5y/Ov/5497/Fl/cUe0p106/MefXsKO5rf+w1l1t/6edDYn/ff/jq5+3v/1OqyH5p/18BQsu/m6twrfFQeBmogz3yfrbBu+KkCs1DPEnN2zldxTlSKpRCkgR0cAUbnDh6CqcsrytEIfOx4AxCdQYhtvX5TxZRlSK6t68koNABEA8QKAuHw9z2gJ2dKLRxBtAcQHvPu/3Hb7mt66M1Jc1vpLuHSGhCsRfFjvS+dcTpafPOJKAeJZ/9frsB6uA4jS5gCINlVgvgEQjavI7AIgdqfkt+07ACLUt3LKEgDxWXQGEI9Xg7pWL1sNANESQMzIC4AIDapPK/F60LUJl3mQbnpjwmPJBaUkAYjzlX3k7ZXxrW8v+HDtb+GLW6O/+ERwDrJfcri2/p2z1HGkAPGk/+t1WA8tPuveV0jh7mVtptxDYed2mchpd+Y3t3uMHOc6Q5dKVQPKKkAd1NPRJslfAEHttJ9ZsK6Q5/3GBmRcaUhId3W1/1ETKqyK4K6XHACIAIgNAaKDELNaQdY0EaUHiHtAMFsAcYN74d3B6/uetksAf4ot3Xpe+d/m/31s9e2SRwoQT/q/Xof1cPh5f4tr3tfwdXN/efqgX04fk/dN8kiEh+7ypqu5WMKBNzbnVYAy2LwV/G1x7BZrwU4j2OjajXWQRqC2aQQlIPDhbNHQnl8F0US6D380kVxlKqNkoj3SYQXEDOdTx3iv4YLNRbQ5Lt2Lat0vNc9yJxWQHV2StoVJ0iNZjo4Jo2QfqwwwW/qjgMA0lOYDU8w42Oi0BvzD0lUDLu6rqYACR7ciB7Z4jqwjz8REKuXIUl6OxBDzcoQVsG4SAMSTvLHmIwDEZJW8bU+or/moMd9QoOaOZoaYNqRVsDz4Y3rux/R8kPmBJAtpmt6YHhGyL1i0LiihyUvwEJX1cSbkKcnLM1N8Oc+GiSzdn6oyP4PlxTGLrL4/gyX+FOajFlV0Cga5sggQ5ToGiKc7PwDEMsGkAJHTKwBiWmMARFbHsUQAiMeqAxCTLpEW551cuhcFQMzrIbOJPYCYKuEBZkt/FBCYhroUIK4b93SnBIDI6i9TNsFdLzkAEAEQARAvdzQzxLQhrYL7/kxlYwBxgX2RHB8hwFtazsN6j9PFoOn2Zri6myIGEI/7ryJTAHGTBxDzvs5vJ2kVv4MBIDYCiI62Kni4HVzGlHoRdmUR2Z2pbRpBCYh8NiUv8Qjsb0EVHJWBLlFSpbZEj4l0ADHeZWTB0cABEOuZAyAmPPaii5ffbBJdlqrXAWZLfxQQmIbqAiBumt44p4pXDbi4r6YCBgJ3RQ6w8RxZX4Eq5jiydCtgjQCAeJI31nxogLhUch5ENEPXABBDfSwUbKJ0HkCkC4IWJSQGiAvs+ybWqX8Z4NrxMqxHZ7v8Dt7DRsHq3sWEUYB43H8N2QOI69nX1i8AYp4GAIhH1xw93AAQo2qbRlACGT7n150BIOaoXKIaVyACIHZjDoCY8ABATK2sOwoITENdBhBdVhh9EwAxu79MASBqcuAKRADExgDxtiu6HpEZugaAGGq9wDAKEKdLE6MA8etoX/mSA8Tom97CFz/nDtq2Cw0pBl3vYna53wfta38/RlIP+q+gHgHi8Y7jACDy709dAGKSOJzpYFAcASDyg8U2ChcgRk/dvVfpW8ksIrsztU0jKIG4D/c7d/zjfJt/jzm5XuRMJb0j6A/X9ZeoHECM79qXv+1QtOLudoZOKmAAJOZ4eDuKXIDI2O0MMFv6o4DANFRLgJioCX+NbTd3BhDz/nl8EwCiZ6/upG9wl5UjD6gWyRFWwDoVAIgneWPNRweIrqLrEZmhawCIoVY+OKEz58cC93ub9wWL3iMwTapi9KsrK5tezQDiVo/0OJjCRlELLkCMvnkwKI4AEPnBDrfmtjB+tdnpVzQRQMw5XdNurPM0OWqbRlACcZ+TCXeKILE4sI+URaLHVCJOrEOV2hLjAcQ3ByMCIHZoDoC4eyT/dSu2YDYBQJRJ1fgygLhVCT3V5F0jDYCoVZEDGwCiJkdYAetUPCdAjBBAAMQ3AhC3k8Hoyq7M0DUAxFDbBYav62WADkB8XIi3LVj0/lLuzlwAxH68rgSIwb/mMs7VZoAYLgFALGfOqwBGMClA3A5B7lYOKwQAUSQzAHEpgvnEJGzgfpVP9JhKxIl1qFJb4okAYvihtUPRirvbGTqpgAGQmONBDy1v9KDjmyyL3yL7DwDEUqahegKIW33sZ63R44hTLvkCQPTs1Z0UyHEBuOslR1gB6yYBQDzJy2w+IkDcTwajK7syQ9cAEENtj0TZuOBMpB438z64YQAM9wUFBIDYj1fTh6g86pECxOTL5XcV3OWfPztfV4984gAxYJaZAkAsFOxGt8PqtlMiuo3Iht++1HHSRFhUcg3txjpPk6O2aQQlIPI5AYhviSKIVUHkB6vSic7rIN1bqS0xNkB8O9iCwf48V5fuRQEQ83rIbNIOIDo6AYg37zpobsXy/gXFUX+zpT8KCExDtQSI1DgCEN/etlPSJEDU/HYfAKJnr+7kaQFiQnnzEVbAukkAEE/yMpuPAxDfbq6mdwEQLzFsBBC3XzTcno0yE6npysT5zuXgoSn7ggICQOzHqz1A3PtNEaLtbw8g3vIAYtQBAJGz4nkFqIPR+X8U4+2APGyn7FKAGPoflZ92Y+WlOVPbNIISEPkk4d0pRdYBRJLheD/kqdSWGBYg+u8AIPZjDoAY9dj2ABQg3tbroAEQnxIg+pt7q48EQFxfASAm+stUkQMbACInR0phBaybBADxJC+z+cgA8e28vM3QNQDEUNsNyhsYnInUjg0DYljyIcwAiB15FQOI5wfDed/i9huFA/QSgH1Z7ucDADHXnFcBR8EOp5bM//bHoxjjl4YdbzQARLZaAcTjT1e6BpZX7pr3dLMMSwBEjnIBYniqGAGIRy4AiE3NARAfiv+LRPJwcCO/xMoRAKLMNFRjgLhvrxUgBv+gHfn3LGf54guA2DtAzDry5OXoBSAWyRFWwDoVAIgneZnNBwKILkFcFwAg2hli2pBWwYwDl2cZvy7XIj6I1OM5xsuNy6/uU1PcBXoBIPbjdSlAjK+S6Gl+e/eWfP+8SxrtAkBkBGMBxOCNx0bnAMRI18GbqqvfNmk3Vl6aM7VNIyiBQDyAGL6xfPIZADGfIB4CxAyV2hJDAkT3Ih1/edQFALGpOQDiQ0mAGLyzr3psclTjAIi2AWLAls8B4uMEFwDxiQFivRwAiBmGtPld3RwA8RQgvmXVtBm6BoDoy8WBE0ucQOFEpB4/dLiAxW3BJG+BXgCI/XhVA4ipy3oO+l1WOgQED+/EdUNJ500n5mdyBp7/7VfpbQ4gcmif8/YEEBMrbps7AyDqSLF2Y23uTw4Qc2rgjX7yKUA8qoIjrNgS1/FKbwyAuH213pd7ADEyF3YoWnF3O0MnFTAYQKTEMHjpvF5NUnuYSPcDzJb+KCAwDXUBQPQ2oA8Q15WOO/B9M89DABA9e3UnfecwBhA/P/5vlffi/7D37rqyJEl2qH9A6UcgidapDEClJV6VaoPCCKPcC7BBheIABEYjSKmkboJTggOlzBZKGDSYv3grM8PdbNnDXxH5iNy2gHN2pIe7mbnZCg+PtTN3Nk7tHP5lD+841MMvu4f/NB7v4cOn4j18eIXLEnrrT+t3LENk7MON5P08nmaKvkPNgut7C+vnkW/a4I8//OWXX3756/Wovs+wnLhsWuJxb0AMAfGNfD3sbyC2bkqdcfMCIozoCojL4lIIiBOBzWRIC4imOVOYGhUQn/lr528uIK69yUxf+do9Ps4hCwYFxF3S8khCvo2AmM25ugIiX8H94R28dBUNAXHOwuSQpzi5+2gTry0gJrHbkEOv/86frf13gQWnEk8WEK+QCrC841jMgX0J+g0BcRWH3NjiHYh74hAMCAFxdMThw88jIE6Q+jTqWgiIhB930J83vH4hMwP9oUP3xG6EgPg+vg4UEOXG2v4Y2/CniO03CdD7B5SAyB5bPZv3SYWA2O7YZ8BAYF4ZzHeA6AhVB+CT+F+8AcocHwLi0wVE73cBLgeMfoaAmHExyMQCnwYhIA5gXUC0C1o2lYm/bIn/A3jpKhoC4pyFySHPExCtlclaPu5HFyYgbgR2V7AQEPc4lXimgAhLGbHEXtL4OdEL/YaAuIpDbmxPFxAPEe48yy8WEKc+Ogv9dgzP9vCpD+UCh0/6EeafxuO1hk9MV1cO8meyJATEN3H4JAGRf6Hyb1wm5J9Tdk/sRQiI7+PrWAFRiz6HCYi5bM7d8650xJyzSS0ICc/R8F7qfIwBA4F5d5NVAdFobwmIO3G9Mo4wFAKieo9O3iMggoH6gjkze/RnPlrsoyrxQQJiU0/hrYaAOI+XrqIhIM5ZmBzyZAHReO+g8YIExO0lO+9S+QOytf8usOBU4jUCYvIFRL6KJeDCsl9ACIjgfreRp8cRAqI8tXN4CIj3yb+3gJgYzE4WTqOuhYBIMN5NePuTiHf88TJ0YidCQHwfX0f+DcQRAbG3xMDOXVoKAfHhzscY4AZGFR8XEO9DhLeWgMh27ikExAk8RUBECgwKiPay0BYQyY1hIQTEecwKiLRlNAsqj0JADAGxjcc7qUsSLBfyVsVOXo+4kxAQH+lU4nkCIl/KbAGxnKRuISBO2ZvEITe2A+JwNyFe7/E4pm6FL4hDMqCUJATETryDwz9UQByl9WnUtRAQCaYYuCmFEyd2IQTE9/H1XAEx3ffj9NIyo44y29+Rb+ltZNnik1p4kA0BsReY3FfrJOt7zL1FeGtVhz/dyQe/4yS7fULHhm8tINYCmV32CIjGEKkHIEJAHMAuAVGs9UZttqbzqGiHez/P1BUDPkASu6KQ1NaG+Gs67N2ZjKXjA7K18y6w5lTiqQIi58HdsUWSLBkg+fCqCR/udw8D3ltAfKBw9y5xhIAYAmIIiC/3eJop+g41C0ycUv16K1fn9HWogGi1SbGHCYiOZpCMs5uhxP66UEdANFeyxqRGEAJiLzAhIxh77Z6AmOobykQHw6hFAZ2m0mtmu7a3WAXfXEDcGsTpvoBIJLh4XRzNkY3muM7cY80MjqrEdxEQ+RN3CIjnmbpiwAdIYldUkuLOpApHSiGqAqJ705ECon0TOnoiOQTEQx1T9ZEHxjsQBUkkH8RGZg4hIIL73UbOKdy9SxySAaUkISB24h0c/jECYpIwO0qcRl0LAbGPU6pfb+XqnL4e9i3MV6gnyvvqYgmI3v5ciQZf5cBSj/gLlCjuh41JjcB/++MAdvo+h4AoYSl/9j2meGM8YcOav/PP0PFL9vN2+jjSjmYCpvlvKCAqP9YF3dln8E6sbYwFlho5KiD2ruuxhIysDh8gIN5RH6wh63DtwRP35EOTaHnpKhoC4pyFySFPcVJ94I4jcQGRkOqvttoCIqpOn5Ct/XeBBacSzxMQCWwDIm4/5QcsZ1nyBjYyA64AISCC+91GzincPTsOD5IBpSQhIHbiHRz+KQJikjD7KZxGXQsBsY9Tql9v5eqcvh4mIGohsGh6AwIinVGiwZfRbHpP8LGkJAXEqZv3Bl9AHLDWSOik8wUMOx9jwEhgOiWcAypdxZtxG5q4J8FAEDHcGm2Es6OZgBnkNxcQfQ60i2ptRiZYoGkwIiDSs6GPsYSMRPoZAiK/omHWcO1BOiYfmpz396wiBMRhX8CAD5DEuA9BVb4qQe/bduUCAqIBGFyWG9GhHdX7ZWv/XWDBqcQLBMRaxNaCVo/KPYP1ZBsZOVh5CgHRxyE3tvcW7t4lDg+SAaUkISB24h0cHgLiEtxI3s/jaaboO9QsMHFK9eutXJ3T15MFxBtaAiLs37SZTQkY/d2u2O4dJyA6/lpoJHSn8wEMOx9jwEhgOiXNe8zdW/s+NFKzL1nzHtJBAqLpLgREcWpko9HpM1HWejQyc/EgaGIwIQMhfqaAaLxhR+Zibt2Vo1+6ioaAOGdhcsgLBES51Giywt9A9H/1gHuVEBDXnEq8XkCkXzqxFY06lnsGK7Dl16z/wfuFwxO9hwHvLSBOIYWAWBhQSnJSAXFMAdw5/JsKiObv/Ds4jboWAmIfp1S/3srVOX09WkA0dupcw3M0In8h2gTEYRHBffxcea4NAXEiMJ2S5i3mRkYBw2Q30V+qR3uIH03bj2lJRxMCImJkm1E72N3GLn/swt+B2PDaMxoC4qiASCdl+5z821jBlxAC4rAvYMDnCYhM4CaOWjcP2DRkpxP+KpRNJFm65BETCQHxIY5hA1oLS4eiSf/SqfiVnHA8IUJABPe7jYSAOBKHB8mAUpIQEDvxDg7/FAFRvvXD7KZxGnUtBMQ+Tql+vZWrc/p6lIDItlm1IantuP8mM3Mh+r3JFBDtroYJPSkWX39Sz9HwXup8jAEDgfnSj32HuZGRP8i5RZ2JBjf49AyQZZsRTdvPGL63gDjLAdFll4Aoh/ArPFmHQyaPqsQHCYjbD6Oq9p5ST7xxG1B46SoaAuKchckhzxMQQQ7iHLV4BzuW7HQiJBIQ8e7Twvtla/9dYMGpxEsEREGPXA48AbGMS+h39h51QwiI4H68t5PsF8RxQgHRi0MyoKQiBMROvIPDP0dAhPtoCIivcxgC4mldndPXcQIiLhzyVS5br2p3TQeQvpPzC35cy8qhmBR26fsPAXE4MFXbxDhg4bo/6vFh5IFsSUBURvcWy45mFc+NZoECph99ffc4wPtd/9nuxx/L0fGIgNize1QlPlVANKzKc5Uc/LQxyI7xpatoCIhzFiaHPFVA3F5ui0nrqmdORnYsNwGR5Mhy1B70ftnafxdYcCrxTAGxLmW3Kn95v/3S2wn2gm5a85vbG0JABPfjvacExKnSzMYRAmIIiIPDQ0BcghvJ+3k8zRR9h5oFJk6pfr2Vq3P6eqmA2Oa0adAXEOt/npyYmwKi49b2tYJGQofwDQRE6meez63ztdcX70aPb4IZ6r1SaOc+d08R8cdJhIDIMSEgphKJOgM/fQNwUGSCJE4rQz32YUQJqNAKSOOTBURohSZ9YRprcEsgfukqGgLinIXJIa8WEJ214HKRciDvY+lIXECkfgZqh/fL1v67wIJTifcREDkFsnWf4AIiW9PszWi22RQConA/3vtxAuILhLt3iUMyoJQkBMROvIPDP0dApB2g+Uxt4zTqWgiIfZxS/XorV+f09SgBUZ7beqTbZ5hb/XFvr9rl9k10t7dlDQFxZh7VwxIaCR3C6QREs8HSlMpdZ0RATO0iJPNruhvMcKK9z93uHwLimB/nIcvmAMiN5VC7Bxb4op3Srb6+HAHRG+i0Y0QJqOCYdPCBAmJtgtb6vAyiSi2guVqHgHi88xAQyQcuNSmJdQlvMlJAlFe9uNUwATFDPwO12/tla/9dYMGpxAsExPvRFwiIG0X6z8gpBETf3iQOubGdU7h7dhweJANKSUJA7MQ7OPxjBERcF0dpfRp1LQTEPk6pfr2Vq3P6eqiAiFvtbQfm2y06wtYdDdb2LM/wDva2rKIxqdY8SnsIiMOByWcyrwunBRMQcfcufrj7956AOI57NOyJEnzgFFoIAbEjrdULFopai+0LiC0W9ATEeVQxAXbxUkqYwccIiLyCrKke1ddwZZcXVhwpYV/X+545LmGn9xAQ23iqgKj3C/wJyBEQ5b7EExAHJ1L9vF+29t8FFpxKvEJAvP3kd7C6hCVAwy+dtToSm/TJEBDB/W4jB8SRQkAsDCglCQGxE+/g8E8REJOC2VHiNOpaCIh9nFL9eitX5/TVFBC/JnBdNow2cZxuSpE8t726/7u3bw2GyVsX1X4fWXx4Qc5OSnjehT2+d2PY+Q4GbIAiNGpRS1zAvbESK6IkhwDguuV4AGLue2u/E8+lzsEUaCcvlQs6QcnryYvu/tVhwYE0ULioiF6NR3CjyQBqoSqIS/lLnHfX5U51jBEvXUVPsoYf5GvfGvCUaBec1GXBWh+S4rB0Yiw7eiMzH9H7ZWs/AxacHomVDayofV23amNd6L6wyfPr3qOOx+GJPooBO9w/26eFuTim6j3b+VFxeBAMOLuA+BT90RcQf1J9phTAn3YJiHP6oycgOixJEvup16PlYz283OMbOdQsMHFK9eutXJ3T11MERPEY2RIQuTlnj+YsUK0H1dLhclvsJmYFw9fGFcwm9FAMO9/BgA1QBENNUL1JWcZm/koMcErBXM+VWRkVcw8BcQp4HRqCkuour/B6Ap7F5Ji+e7tTb6iPEBB9AVFd4mJLad4gmnEYI166ip5kDT/I17414CnRLjipy0I5MBgr+l+dQB9pUZqfj+j9srWfAQtOj8TKBhbAbyS0yFFDCIgPxWtXesJcHFP1nu387DgEA0JADAHRZoleOh8JN5LP8fhGDjULTJxS/XorV+f0ddBHmO/rhtU58c9+ZPtDHc642pUNqb6VGe7BOp9TERCXP4f8nE8Rv9T5GAM6gVmfzuEcsAogvEEH/RkxG5Vr3Q/UiyZF373FKvi2H2G2FoTU44BE4p/awe7u4JQsGvCZW0uV/Mizh6Mq8XEfYS4veE8sd8mtKMVkjC9dRfd6j48wt/GcjzDD0gQbE2tzct81tJgKd7ukPsI8xPH3y9b+u8CCU4lnfoQ50zagrmr+Lce/jeGdb3KFi48wg/vdRg746PC7xJHiS1RCQHyxgOixJEmYHSVO8/nedY+nmaLvULPAxCnVr7dydU5fxwmITkN9mqd9+tjyYu/CijZh3vSYctAVEOefXUNAHA3MUvB64pHwJnbrrnNVSKEciTO6iRHUj2YZ31lAVEVIPQ5IJF9AVB3JKrWIv7jHOysD3l+lQhxViU8VEKGnvZ0c/W2AjZeuoiEgzlmYHPJ6AdHdNXSYCvayFhC7PH+/bO2/Cyw4lXi+gFh+ll2BcZa6eEbU1nV4nQsBEdzvNvJ0AdExHQJiCIghIAqcRl0LAbGPU6pfb+XqnL4eLSCqheXSWl7EKNs37e4cPcjfs11qj+FVjhlfeN7lvv2EDuHcAmKCzBvZv5GRROeRApmmkhQzag+jp/twJ+a+XPsQEAnsum0VeJIEWpoujfiDukib96jGfrNx/QjzrlWg4sMEREqwuPLUxSnq2wrIuDxfuoqGgDhnYXLIUwVE2iaw+8DIveCGOpi/3I4STITuMdZquGMiISAe7ljeLcRdI/GqseoZhU34aviWEQJiRZoSzKbimLqDz83dMR0CYgiInysgqgUzBMRXOQwB8bSuzunruG9hRrB9Fi4sDbvWqHqCfNf9vvn74eb6VQTEPHnz3kIYeN710Zz4AE4kIF4hkkE1cwp0I6PQjqzdurAprPH9vmwyQnJti7kfJCCu2TilgHiD8WTV5MDWjXWHrs6YARo0fbI+3ZkdJyAeY+WtBMSqk0AF+djELqSBfCd93b10FQ0Bcc7C5JAnCYhZvO9Q3GcUay/lCYm11cHS/L0fCojmuxvR4vtla/9dYMGpxAsExAS/YabCs9fUjJpiNSLvREO3lhtCQKxIISDKziEgjjrUwy+7h4eAOCwgWt1082nUtRAQ+zil+vVWrs7p6zgB0dphtwVEvaToUXTifnz3bQuIbWHweoIJiHbYDYSAOBOYvI0kejaz7zA3Mib+DMe6ykG11AaBZJs5FDQmI/wL7tZCQFzwY1+h7V1Grg9lYuWoBpLoOkYD8cHFjO8e8oVk2RwCohIQtx91ZU2QWbYm8065IyDSONHrpatoCIhzFiaHvIWAqJcn9oBUOvkC4r1NvgORzkB7CIgdPFNApO0AK7e8+UCz/WEWta55DLAQAmJFCgFRdg4BcdShHn7ZPTwExBAQ395hCIindXVOX48WEOtxaWB29aOkGGVt34qAKF3VHZ0TNAmIrbD9tqtP5+Ic2x82EjqEswuIWZYXO97IyN+swcqvbkv+PQp6sic+NbRTLPHX96bFnsT17k7YXeylTsHLBcSsLvHyE4kBZceHNi0gKhgbmWtEDoU6NZGDFp5qnOXkIwVEJiOKZ3EpIKoMaGYYF95LV9EQEOcsTA55qoCYs7HAoEy0dbQERH5wH1vsJyEgDv5i4u2ytf8usOBU4jUCotpwKGaUdUzfaHLrb/Sovsp7CIjgfreRcwp37xKHZEApSQiInXjN4Z8rICoJ0eqmm0+jroWA2Mcp1a+3cnVOX48SEI2m+ytml+3IYUuunyTZXv8LR9ALfDq1n08fKyC20UjoEE4nIJqNUtxj1RMCIjOjbkui1LzJ8mENa2/eHiMgrmIvdQqeLiAa57A+uACk8izOOMHa1eZEs0A82kFE6JdRrDkXybujBMRjmPFqAXEDv0zpwBQQxdKtjEiDwtNLV9EQEOcsTA55hYC4/eCqEF87kisgUgNy+na0TQTv+zJGRwAAIABJREFUZQhsfr9s7b8LLDiVeIGAuB1+SVYkBtZf70xCQHTsTeKQG9s5hbt3iUMyoJQkBMROvObwlwqIE9PVlYP8mSyB5RFurg2cRl0LAbGPU6pfb+XqnL4OExC9J3mUipLFVNpV1U2ZNlvWpi9spuFll+cFVC6GZtSN1hAQxwLDDbY8xTRC3kQCojVW6g6yD9vk59uHVa1O8Kp3d4O5u7v+BvY/EHjR7MCzBERxPctzUifGPQeUVVShyQKgQVYEMQdNVjbN7eJbTj5AQJSbxfoaTvAmXsF7pZhhnSbjwnvpKhoC4pyFySFPcSLomImj1qpQdyxq7dHjWfsX7FKc7UQIiF08U0DMcAPhAmJKloBYRlgN1ZrpwnOdQ0AU7ncbOadw9y5xSAaUkoSA2InXHP7JAmJCXJv75D6NuhYCYh+nVL/eytU5fT1UQCxHmTZgNlPZnivpdxWJnuqRlW/02nqgcj51C4eJz420fE/i5AJiLRg+V7HyMQFRD7fMY+E3+xhNw0qzfEvFMmyGgKjbOQdQ9EsoIDY+DcY98KWAu7C6G3amLuPRhDxu9yRxFDfyTgGRL7987Ye/RZBZxpMUEDnc/L10FQ0Bcc7C5JCnC4iZMTeXF2pR4E6gI+5FuO2xm9C+iYSAeLhjvlqxFQzvNXCHwb5528dcqrVhtxtCQAT3u40cEEd6k7/FOBeHYzoExBAQnyQg9nEadS0ExD5OqX69latz+nqkgFifFCcFRAvqbSyoHTXXLmplzmEfOIgQEAcC4wIBNrOy1Q61aDcyKgGx/C/aWbmx8gsCotllqViGpRAQRbvgAAqIWwtFIpgiPST6qDJe/cZi5Eaaup0YRhPSt/U5AqK7/JqLc+3UTJF78qWraAiIcxYmhzxPQEQ64gtF0ZsTthLJW4+wbQqIveXg/bK1/y6w4FTixQKiYgPfaICAWG9hyRQQ2/VnZ0NABPe7jTxdQHQqHQJiCIgfLCAa+7wBnEZdCwGxj1OqX2/l6py+jvsbiAp1O8ae9FOCjyVST75HEzbYGbFKyYPO25XY5m5BAMwhIK4EprbfuAdnrNACIm3kMx+g2EBu5LNbS0GsByEgKm+TFOj48TmAz2xbCSkSKrYQpo1lRT/J84iGeBACItl0GUAtW9Z1UTM/ry/UgYXT7fTSVTQExDkLk0Oe4uTmg/gI5JREroy9sHUKBETr1xrGRLqcf79s7b8LLDiVeLKAeIVetDQ12FKnqWD5bdefnQ0BEdzvNhIC4kgcHiQDSklCQOzEaw7/fgJih96nUddCQOzjlOrXW7k6p69nCIhiB0Z22S6sNtBjZiIb/sMoH9e7G6cpAdE4/xwNz8G5BUQpNChh+EZG6ownDQGxakhQyGEBkXcYFhCnNnw3hIB4BVzLNgeokOzivrt3WMAERKX+qUK5AiIfMiEgzjNB4pMFRF5JeRbSPJ/Fl66iISDOWZgc8mIBEX/LATohP0Dd0F4IVgTEx99bprK1/y6w4FTiNQKi/kWXaJBsyZwTlt9O/el0CIjgfreRp8fhVPq9BUQvDsmAkooQEDvxmsO/kYBYb47mgILTqGshIPZxSvXrrVyd09dDPsJMx+rJMR0iIFre+ZbOjjttAqLfA3urpuvEh2/6smMjoUM4i4AI865lwaczVgFihSkgWv/VXrhzv7dt0ShqOQQ1OpY06Jkate/QwSja1K6xFc08niUg4hT5tVxf43XMz7Pul3K5MglSsgCWCBVAOWACYocH7fqUhNhrUCMlCkXImBnTiugALAiIuR4lUZLMigRnnfx7EF3Szr9IFQLisC9gwMcIiLAKCb2ITvA1RdCYWbHvB1d8YZP7ik1kei0IAfFox6XsqZY9J1zA1HoGR5uNy4WqDARq+b3/HwIiuB/v7eT3AOFuNo4QEENANId/JwGxrGjmgILTqGshIPZxSvXrrVyd09eRAqInytCuK8O2zFxg2BaNWa6Dybd912tv1u6T6mznqkah2quA6Pp2X303ARFKn0FANGqUSCwqvZRgJD2wV/z111e2K8RbjPphE8wdngb6llyjIyNM7KVOwXMFRLEKwKO7KltWab51MARE1b2+NOyVNjbzXvVa9Unl1x8GE3rbJWH3MwTEVNZzS2YR1/l2fLtAZaXtgIzKpxAQn+FdMeCzBMRKLHY/klTlHeUSxlgpbk+bpQkB8dZw6QuI6nwIiEc7Tgz8hgJLGnbNtRWYBEQR5MqqlmzhDAGxYG6lf5yAOBvH5wqIZ8dPO4fvG79z+M7odzrf4LIkafQ5ehp1LQREwo/f8Wdo+df/9APAz/7tH25NfzyEfRUhIL6Pr0cLiNiqfq+bxfkyQG/ORgRE2P35l0l3eTPPJ/l1sZ1h0ksjoUM4t4BIJ60bzK2h3oYqb6gX9Nd5BgGRb+dVXJYFownm3tj+d6hknR27uQL2UqfgtQIiO4vPZ9BeKLL9vAyyQNur68D133ECIuzix5ngCoh7FcSjuJH3CYh0VcvWOrAuCQMCIp0QXVIIiM/wrhjwcQIi3WEEeUsn3vHCB9MBH40v5wTEFAKijdcJiF+isJwkvCu+UP2sdbAOsLyHgFgwt9KHgPiAOMyHwvMiBMS9cFmSNPocPY26FgIi4S4S/om1/PbDExA3+fBwCTEExPfxdaiAaG6J1O/1RwVEHFQ7qe6kVMHGrXmZ4HkMoi0g+uZVAr6rgHj/39YG7BsMNcKOm6rJe2IZgBvAgbn9WQ3jdnS7NPjDguiGk23ZM1vnwjqvgFgUI3XaFRAlCUhANFYSfKVpQGvB5MUjguOmGwJi1yR/fY9ongsSR3EjHyggZqnMWDcBWh6MJMjTtctLV9EQEOcsTA55FwGRUTaVVaiQEMicFDoTMZayKiD2JqKukhAQD3UMVfz6MoqrFjsgyXaUxcYhgXnrxdZy/z8ExIIUAuKr49BPhKdGCIh74bHEXCe7OI26FgIiYRME/+5fasvPnoAIb038w18OYeANISC+j6/nCYh191Xtlk059E5VfEiWHbkJ41u3/g35PinuBYw2V75k/SqZzcQSy7TvdZxLQDS1Ae/uIm89UpZRVBgTEJUTdwpEIktAZOf1wGyfKMOMok1tG2s0k0NMPFdAtLOmawztnASpuFeXF7JogAbOOxCNyMm+av0dhRTaiHtC2eARzXNB4ihu5NW/gViyX0oCazJUlA2isY0F1VpD7hfmAXNcws5kh4DYxvMFxK2Fk1fyNpfnI9igsJHZaJYTwY0Gcv7mQ10GRoOwGQLioY5x/boLiKzCVGW5ogkBUREJjrk79L53wocneg8DDhDM5nyGgPiAOOTz4MkRAuJeeCxJAmPMPo26FgIi4YdUEP/vPzkCovhoM5Mc9yIExPfx9TQBsRxZdks32pehNWZHbtvYtm9UQAQv3GgCP/bEzUeAIe+NhA7hcwRE3q22X2jzPS0g8qJYPGSmzHZmwBIQ2XknBU750553FDDspU7BOwmIrAO1cy0wTQuIDRoMCIgiMEtAFD7cqVtnbQFxP47iRj5GQEwJkiSbcK3Fp2r7AgoB8SDnISDeQKuDFhCt78wgAVEyma0Hqln9VQ+prIuIQkA08ToBUfHBWOOkgEhr2oCAuA0UN8kQEMH9eO/HCYizcZxQQPQgGVBS4X/7BrwQX8WxNjzbwzsO9fDL6Leg+MP1t6B48Q4OH8pEmfy+L1H5aXy6unJkx2aJXheHmH0adS0ERI5NMSyfYr5+Tvnv/kUrUvdutzce/qY+9rwPISC+j6/DBERr0eCbprKVYnbhHP+r5vUJXipJUuujnZ0TgQ7ownZ4oj/fFi4IiB00EjqEswiIG6yUUIK3wrHWm7daUdbfM5GldlHaHPdejdho6nK7NHYLiEfJRHupU/AsAXHzY2YEOcAvXXEoOOEYKX40DaCi4wKidfIIAVHiAwREQlKgVp5Y++IlI4bdEBAPch4CIvmAC52z1jjcPpNqrFkoIJKL5AqI9BrPjgiI9kxmMJWt/XeBBacSTxYQ2aFe0IxXardKbcUaUcfUhOUeNAREcD/eOwTEB8QhGVBSEQJiJ97B4Z8rID50C+xG8n4eTzNF36Fmwf29heUzydcXfzQUqd+YaHgTE4/7EHMIiO/j66EC4r31/h9tsboCIt/JUVdQAqydnX918BAvYocn4qfNntyTpOQLiFaLbGgkdAgnFxDh3lIKx87cvWEh6RU/AN6IRz5BkFZA2gkIiFazb9BjoJGbqV1jieYzBETNASiwEmzZ1gQNAgtMGuCpPQIiBnZh74m0TQ4uRkXI6Hbs4Chu5CUBkZZDAWqVF9jdCy8VdffsZn4iBMTHe1cM+DgBcXvJOYrLSO1U70xspZH6N65dhoAonYqz7E8jDK8JISAe6lhyQlOi1B0JAAPy/aZl36kSddcn+eL4lPkCniMgTuGQG9s5hbt3iUMyoJQkBMROvIPDQ0BcghvJ+3k8zRR9h5oFmzi4fVT51/uhUqR+5l+dcvs6lcPeghgC4vv4OlBA1GDLCXtNdnFHLTdj8qmcd1R99JDanQ2/wHgdLX9BolXxWp99LU0J7RkOGgkdwskExDtoiwzZVC+IF2VfXgtVe4mNOnlIbFjevoU564c6UY9UYzNuduovIEqfGWvscQ9z43nrYS91Cp4sIG6g7PkcENckb2HtPO8i4ZIG4jGN3ndk8qD15epIBPFtqeCV25M2dI4WuSBxFDfyvIBI+eSZNVpZinNdRGFEzpgMRhiWzvuLEBAf710x4LMExCskN2kFEGvJzQk2id0KWS8GjXcgGtc6Gb3AtaOjxsb7qxAQH+IYVy39nSmKKuL8hR6obcN6L0E8GPhF19HzveEN34GY4ktUXh2HZEChQQiInXgHh3+KgGh+iQo8Ppk4jboWAqLA7R2Fmx74848f//Z/aEXq+sbEa/uG3478K4ghIL6Pr0MERG+FkKuJvbHi3b3tGnulBERo0xZzHXcXEO19HFc3WKjMTOoKiPgALINpJHQIZxEQ1aOOvKWo1NZOvNpcQWAPbVRy6EEk6QqIwAnFmHLKFBDRhJqTMpLEkyQYmcBe6hQ8S0BMggOcBrWHurxMEuhnNnaCFVDSoC8gwkifCPxMqgKiYoJgm7Kj1sjPFBA5IN+UeCEgciIQsNL4AdIQEB/vXTHgYwREvE4lC/nSUShcv0QF9EVOcLB+w1e2mo0tRyYBkd/gRKxqRQ0B8RGOqQZfeu0yqKIbMz5PS+sGC2B1CwEROoeA+No4JAMKDV4lIO5VAPcKiD+Nxjs4/IkC4tzwne9AxLXPZflp1LUQECV+rW8vvGqJ1w8nS0VKKIbXtyAyPXEfQkB8H1+HCYjW3liuJvwV7cNyuf0n+SgK3eqrrLtwgxSSLyAKZSDxCdirIJu4VEfY3HD6+kJ0EuoNMZwvouccOvYZ0Aos8dRTudhpnlteZV19WzqSAiLvJcoGlYX4MjnEk2kTii4wQlIEbVm4R6IFxBGIjsPV6+DZAmKpmiHE8WdlqLUgwYXO9ATEHg0aPGgQQczLFBDxyEyIesL5Gn54aLPmKG7kHQKiRBZreaYSSgFRrA5KwqFeuVyXl9pzzxyXsDPZISC28TQB0SVuPUu9hYAoPplQ2QsrwhcIiPLayGx8lgKiilUc0asQEI92TDW4F9BHY+270C0ioVmxc6GT1CAFREGIg+dLCAHxsDhCQAwBcXD4RwuI8IRm4jTqWgiIEr/WdyBelcGrlCgVqZ/FZ5Z/Zt/PvBchIL6PrycKiPRMmMsBCIh87cm6Gx9NWzi2Uaumywu9dlUBkYfoCoj9iYssOLv/zbefULP/nPMOes6hY58BrcDEbYPnVtxgsjyR5WlR/szryiyo0RgMZrYwiAzgSVtAxINBJOtbmEeMiD7D1evgNQKiyYHMKoUXHmpLhoCY6zWfTAHRo4HDA0FFOusIiBfdeSwn+Lq8J3Jk5NkExFoISi9v5a9ZAfhs3eIkeoyaLgHMcQk7kx0CYhtPFxAlhdW25bYEaQGRbEmi3g+ZgIi2jFvOrefF/Gqg9pUfAuLRjkt10/YWUnddk39zF7H55QyAWsKKR4y6/i8n3GbA3vkSniMgTiGFgPjqOCQDCg1CQOzEOzj8ewiIHqyHoyG4kXQRAuK8Q82CCxcQrx9V/lP5ZmZSCG8NfzZH7EcIiO/j67C/gYirRd00sYWk7LXqI/jWJ1sCItvKg3lumLdkvS8Tq9e1oXyfIj2Umpu7pEeDWtGcuhdBI6ENK4TPEhBzFRgYL+D2Uwdwa+JRLUOjUTtZ3joMaMmb7y9h7iN3QysFOjfV2rCBrKLZgTcSEHlO+TOZfOK+eDKSauvSwOGBNIREkPPCD7ePp0KhCIjTarLAUdzIjB5NBlBLaiPzvPJs+wIiPw3dK1IIiM/wrhjwoQKi4LCk9H0Jois+8SO8PbHlI/GPMBuGs97aNCfiLAAhIB7tOKU5AbHuDFQXYVW2shcJFr/PFhAnZhMC4hvEIRlQaBACYifeweEhIC7BjaSLEBDnHWoW3OXB7QPJV2Hwv9zlQy4hsh6X2u+PytAaQkB8H18P+hIVvjmWygDZTan88wVEbdDRDROOUKtX3afrTR7u54rApKbkGU9KyoAANzQSOoSzCIgCrPSZJIHtP3i84jciGqylI5Hvai6LwTDOi8wTEPluTd4Nu/s+Rs01AVFgL3UKniUgmo9BJgeYgFjOMxKkhoAorzpq4jSwL00jOktANJaApP86ZhssZCNHC1yQOIobeV5AzJYqjOXLqhycBCopUGD+6M1PvG4VDQFxzsLkkKc4IR9itTEpfOObeAfiNpauXbHaXF/RRIwrJFfH5cyIgKhWihAQH+GYLzmoDmqu0CYVGaO3C4wtpQkPtz47Jnx4ovcw4L0FxCnMzd2ZYgiIISB+roBoKojQxyJYCIgPcPhwAfGqPP3y1x8/fvz7/3U7/McfiP9wa/3l//znHz/+3X//hcCGBM4FvQ4wPFhA3I5pZ01ri2wVndEM323zfRrrVZsdFfF6/jYpEUSWeoTcrsMWT9v1VYoQEAso47TzFm8Vu0CL0JzU3r22QfG07qNqwtqprtSTcXJSQEyaMdefRm68mHzspU7BqwTEG0wOsKuvXnZAAikg2ixwacA6tSJiXbl2lcU1fGtsCIiGFxaSlaN5LkgcxY38EAFRVguuMP4eRbGEsk549aUQEJ/hXTHgAwXEbHBUrSaaz2UoLEG1MUsBEfxkIjsfHQKigxcIiJlJgKy8JleMUzDa2APXl+JwGxkCIu/8FgLibBwhIIaAODj8UwRE8ybK7orO5XkadS0ERMJVUbqqgz/+/iYu/fN//WEqiCEgfg70OsDQFBCPgV5YqJmdNrpeZF/WGYfffwprFzaeOl42w4n91GMSJaa6vsgmNc9GCoZbPxEy27Ja9aTBFmbAaKzlZI62g/JDlBIGcXs1Ls4G8gOvzSkOtfU7fCgtTA7o65Ffq9ivwQKDBnDA+2/tVHqg3QUDwlrI17JUrcr1i3pGMmB+RWl0ExWJlbscmdZ5jZhDL5BAoA1GFM1aRVa+vWB0pJfcJAxlPamtOsYlaoi6Q73iMjgAigbJoQptGfiegQ0QnOD2mbP7D/7yQ8v4wGlNWZ6KYy7ox5l+fRwhII7GOzj8dAKiA29trLfKucsz8Ma4Kkr/iO80/PHj3/y324v/eVMQb8ri//6PQkC8NoSAeEo0+XDche3ehWgnBQ/y/Cfuu82tOO7iLnUbJs1dRB/woQIBhxi0nJiQlIYygikYztgHAOdWUwgkgGI3dCKu9cmdOmfUhaWcPEKbEI5gPDIIo18TEDupUaSbtfTesLMmOHABMfdC5YLic6I0WCCfyhwBscGDPhFWBcROjpKyvWryqcD8lipdpAjLE1zPl3KXI9c6O7KTdHn7PAXeBchRSc7SBZYKo1v5T17+ckEhC7K35W1tMs2GwChY6uR6ZS1lsPbB8q1IUBu4edutTaxPwQOnNWV5Ko65oB9n+vVxnF5A/Ok7C4gz3ncLiLUxbkkfhl/u+mERB//KPra8vR/xJhOGgPg5aPLhUQKi2GJtP2DrpEaL5edCg9j5y4XbQnu0+xJrF2zN+PpmrHJemMqROW8lXjR2hJ+8tIoysuZLSpiZi9YQa77YCTCgpSE2AhwlYUwIR8i8CzeBjwhiEt2Z61acco3H6Xp+UJ1VO1Qaqi+EZLBksODCS9umgcEDiGVrFKvMhR+pgvVKZZ93uXBKMvDrB65omlNiELtNd+LM9AWvdnYSuwYCY0CyJk3Ji3WKthZsNWD8NVjeERCN9mKoE744UGcCs8CCWYsW3qgqVdhLZkhDOhKbGTLYrf9ZMTWtuRxMdj6VcPcucYSAGAKiCXut+9RV7Lvj5x8/fvzhL/Xlr/fvRrkrTX/7h+2LVK5fzsw63Rv+7l+OiaCrah2HJ7o6p69HXeJ1XwRNZXEx98yXhD24+CifJe29GZ5yBEQKRWzlYDzGBiHXSJhTtoMBp/i/TlI3j6d9JrDnLW4wWLILPyV1IFYaLJMYyzyyM9yYqDASAcIXHIQZuEWRzFXpYAS5eByYKPob8yOZM4QEUvYVCdRzshp12S5GMtqgAfCAXawdIuxgAmeclRa5QrmlnCnx0+mAFeRpqdlJHi4XK+PUyk3VZuY3EFgBXLiCr/DbR7zGkbKC5MamRHY3g+DtzIHqa72yroG4LBZBRcPSj6NaEX+pQ93yqG9t4WsbHj47D4/D1GTmZj7Z+YFxPMr06+MIATEERBOdJTHwQbh+vTJ+v/IdmyJVvmw5BMRv4qt5hWcb97WmjSS+zCTTHx6/XOD7KxJ+k0Kqr9UfKGdfblA70oiMf7+6fFMHRHQhqwAWhPG9C/Xc19bB+saMxvcn3F8YCR36G8rFTDvrqW2rUU3dsc8AgB0Yy2h9rXKORbzUUtbkQ2mzGAgEgJfKnQyJpQsYVJou2Ev9OXRpRE18+ylyY4yw64Ydm5XoVH6+5wIFBMqsS8J5AMgBdSHzL6xMt7UiSxZwQ7l8/4YcTS/BI4SV8NtVTCKwP5R/y02iv2TOjTqpJY86RyYX7AK1CidLNE4HFVYla5MBlkOjogm/OEJANlEoum8twnb2UnsOT9SY4xIWr4e3cD7lXTFgOvSVaJ/h5OoDL1xB3rIocMqxu5LJT22Llg5mwLrv3M9dqKvopsbVV062/MtiKlv77wILTiX2XDDTjokC6fotOF6hXWR9bG4XEl/r6CfU1CLM0fPlsBK9hwGtPeEgUnrYl6g8NI74EpUQEAeHn05A9FjSWBQbWF3d3Ui6eLrH00zRdygo8E8/hDK4YVOkfvtx1wmvb0WEbuXEEQgB8X18PUpAvIFtg9hzpisgqs06mqIeWW7MuCqoBQNmQbzdiY/JeCNlo2vvr8aqCCes4HlC+fxHk3gyAVGiZlnmfmu6kZERBrbW8LXN6kGNfjoCIoWg/WvdqNAEgq8/0Ff2M383+yWajG7WeezZrESn8vM9Fygg4DFCcyDjwdaJWMAExMqCzIsg7ZTR9FI/wyEPtn5cVWDx4i8LqoAItnOPCnfzOhdWfqwXrcLJEo3T4SABcXMqKkqt5pN4FqcoFNUTbwXJFBDHJx0C4rAvYMCnCYjlpUFNWh9Yj3LAVhSxhOBahisEJzv3nIsbISAqyJHZ57x/KUxla/9dYMGpxJMFxHogqipZomjDtyd18wAdsyxY4Ud1CBOufb0qHzBfjhAQD4sjBMQQEAeHf7aA6N/NNpxGXQsBkeDoh0WRKu88NAXEPxrjVhAC4vv4erSAWB4lmegCOlpdalhTOUBVgHqaqxVoCGIPyJq0gCieFNgQjCoVAbExW36ILxNcojUZrdSJllMKiJSwBBygglRl93IXlpMzDCqKFayVzJkbVcoRjoUwMGAgAosHCNFVjW6ntIAovNlCERpNU3tHFx2OFCxQQOBLzlpzQHCBX25wcMGBkgXyWV4+9msamDzIzBKFLVaEW25sJvSpoK51xQWfDMajJ2GxRFZMCwIipRByLFtV6bLokevceb51/vmlIK6j5jzr6RAQh30BAz5PQAQGZk40QVagLLI4t3kuKU4HGYmey+/OGkSWy4HX1bcwla39d4EFpxJPFRDvUDW2ipr9c9tH0OXJzTRVjbUTFdkuhsJ57HzvCAHxsDhCQAwBcXD4RwuIfXqfRl0LAZHgvY9wU6SKcHj9pDN80PnXEBA/0tdxAqJYLuqW+f6CtlNgN9HeiTXAeHw+3fb/xnIllCB6Qmc+LpcL9uIbNrXbky+uztngzSnOxcxH2nxf2OY/HSAgPmB3OcaAXmA8sexugsWG4t4jhHxbdlTZxYHce0NrUudkzeYERHwkMIqB1lOtfe3Ox2fDPr1afTYAQ2M3lwUKCNz9YJ1tDgAJKGRLQMwWC1hl0LAsHn3S2ecB1g/XnZIbjwny6VDlRHMh4WCfDJoN7NVkiQyWVhwjIMpLsoHMryIIjWVSWb7UpA3NCjMfAuKwL2DARwmIuBABv3LuCIhZnlH3IPskvkvtHgvxkgmIHq3lcuBx3r8UprK1/y6w4FTi+QIi54MuKhJD35Dut2pLQGQkAEd0TOs/JwFW2av5+nw3hIB4WBwhIIaAODj8owVEvJVZOI26FgIiwVMBhYB4+6qVP7PzVwHxT/bQaYSA+D6+niAgwjZJLCzWK9Bm2MvbIQiIKPOxnzqKKiBWEQ9FAHijEsTKLMl3Vm3/8UggAbDlB99SLVBZ1OdOLSBaegDVpaaHF7/2x3EI+fAmHPNWix6cf2y0KL2p/gBJs7QrzvFhvLvJAjYLGnkxPIwAxrxWQJSPTooEWSQt1XcriypKCvgCouhm80AXWxJBCYh6ZOJlc0rqcaFJBosNzMlkiVocOk5AhOXbqphZRDNMnqh73wu/3uxrT9qi0yEgDvsCBnyogFi4ilc5UhMFIUVe/+aU1LWr/Wz/X7jxjOdpILY7GwK8FLi5qWyzvZVNAAAgAElEQVTtvwssOJV4nYBY/wZiWbdFXRuFv1ySZJUYx31tB3ITagqIQI5j5rshBMTD4ggBMQTEweGfIiDa66C6Ycnj7uru8NKNpIsQEOcdCgr8+WKDfYT59hZFIRjevnvFGzuLEBDfx9dDBcR6ZO679TjcctUm3rMvIMKejVndLgZoZ35zHc0jwZ3cF+wA6wMsj4T1FpHfE8rmZW56/D3FKQXEcgw1gtqVH5AeViNhVLJIHUABuVDD3FKIrGjspCg9YyEPXHSUxTCNEC2qO1VEXdStEuPlhijoxWsExBKH4AB/is/sHF77FxovTdFYZt6kAVRC8UA8nVtEQAERevFgWeSYkGRIAzyIFhncmtcl7bUCosoxn4wJ+zqGiYnyQTkWBERjjktYvB7ewnkIiORDXN1EXsHg+xJETlqsdonNtjN0keDyc6SA6LdMZWv/XWDBqcRLBES5oHWKbp/l9w5NB+4tW/sa61YQAmKz97vEEQLi4wTEZyiAO4e3BMTfDXxbAdEQE0NAPN7hwwVEBH1SmX2Jyu09iuJLU67vTDS+u3kNISC+j68jBER5nW/7J/aS7aIuYm0xpAFmg+2l7odCQCzP7eQnw/YN7NJHmA0BkUZDS93+83/WNlBPqrwm35csOujc+nuKkwiIfOa8kXOAl6jKApftHYi8Y62ssJSS0ZNXLKuTUrNB8SZnXlhuiMevZSPxZKfnzGwLkamRLGlqq8R4uW0Mjl+ggPajfck68QczGCYIwi4iYYsXPGmUjqKcigcyVoMIKCDaTGhQISd8X2WNbIQMxwqIhoWKdQExZ6xa46n7dy9WKw+F8sBO0+sLuWYC4uC1EQLisC9gwMcIiGolgBUDLsrSvN2ZssVqZUSYJa/MIsRx+7ltTNzLvY6jKywExAMdU3mzLGCz2l5XbgWaoULABdnLoILHjvn5SoSAeFgcISCGgOgM/+YCIltkb/+FgHi8wycLiLdPKt/eaLgpUvWTy0IxPPJLmENAfCNfxwmIdLWz1YNOldPKrl5qyqaLvyimvr7K1ptvzWoYcvsmlIDbjI0ljlzCABYSlzeclY03SuPJEhDnMP28wNGopu7YZ0AjMKhCpvsF58C9HQddRMF5hbgtaDY/iEZe6jE7w+nC36Goq4d1ZuRQzPGQypeocHPC0QgThqvnRSEO+t4mKaAdyjrgtSwjY72EFIXVltZSVl1hCWH1KmMz61bM8atbP+Jx79sCkg0mtKmQoZvFhVEyCMyXiEcMJ454ByKvmXkus/+xLzNaYoQu5TW9HYyH0c59PRkC4rAvYMCnCIi4TvCtSiVRPVuwbRoyDUH6qvuLoDtfGirXOacz/WZT05jCK/9vvR6brd13gRWnEs8UEI364Smjui74NoXfo/SKTx3YadVTDNg9X4kQEA+LIwTEEBCd4d9KQNT7Yfb6dngadS0ERBe/lm9lvitSv9GXNP/MvzXlKice9icQQ0B8I1+P+Aiz3EeJrRHZZVstORDUg7octbZp1KuaprC2frcZowkMJPNdnf0wgHP1IWb1XQTELYqaXComiC6iAPf3dnHth3fQzcULc8W78DhYRHWUGI6jSjRKQOQmUDZyi/klBMSMJQJS+Riunokp1uYjHh2/vqhUxTErk+IAT0hLQDRYoLpqYSDDIX9qq2cZw1SWEq8aW0CqZcmwDmQewNFgiRjmS8S5CycWBcTsPGQbK2g9bSytEKBMMX8BAiJrH5lxCIjjvoABHycgIv3EnsXtqLuzm4pDbH6G3xqVPZvG2MTuSiEgHurYLK8oZ5sWsuyGKSQO64j3LIMGudW+Ml9ACIiHxRECYgiIzvAQEOHwNOpaCIgubsrgVSe8KVJcJ7xqiUVBvP0FxE1YPAAhIL6Pr8MERFgucP9VmrYnSi0g1tONRchaotR2XPkTEuZtxsJG5gdakGChCDloO+aTdhJyO8SEysWVhzycdd3ZG96opu7YZ0ArMF6O8lIc6wLYsgJWSDRm0WD0yMJpGZXrgTdkmzv1rdt70VUqR3AulXcg1ihEj3bFeTcezQwgurGbywIFtNMscp75sVgf4FUdB+3ZHFNnyBcCs6Y3STPXQlKQigeqPuzo1kEIiBk7qCzQqyy6rgqIFPj1/8kSKfoyzAqIVsozFMpZR2sE3AJNTdRPllYIiLDauFNWc1zC4vXwFs5DQLwi0YVcaCVaGrci7CJ4yRx4XcUoa00rzRDx9lO09LJFk1vJ1v67wIJTidcIiAPla6H8KlSMVV5qAzKuNGY4qIMPmy/gDQXEOZ+O5XMKd+8Sh2RAKUkIiJ14neHfS0Bs78qyR8Y+3Ei6CAFx3qFmAeD6FsTrZ5WvitT1TYf1g8o30fCuGt60xOPegBgC4hv5OlJApEO2IcZ/uWyw5FZKbbhoq++pi7Ttz8oc1xZZK73NDTfvbBKGCFG6eQIijREJYZNjXzPMHOgUmo0l6/IkvjaHb2hUU3fsMwDQEBBFASDvkB7vqa2aVO2sembFeDzlpQpC8JSGXOpbELcGMQLnyxrIRdYbfnSEBkVXmVJXQJTByJM8ulcIiAle2ByA3GJeKHprAGW/9DO6bDPHIUgGNk4Qgf8G4n44JyBC+CJH+IZptsq1nyxozPV/UaKkQxBOZSCENQERs8NTb67a5sXcExDhhCEgNp/FYMYhIA77AgZ8ioBoUNV8mb1FCjhcTRLDLGpbJqCzvonoRQBPZ3NDYM50LVv77wILTiWeKyDigoYHA2QoR+yzFPyOVrw4FIDmRKuaJNZh8wW8oYCY4h2Ir45DMqDQIATETrzO8BAQAadR10JAJPyouL+78K4TEujvHl6/kJnhsL+AGALiO/l6gIBYtkxaS0pCQBTP/0lu2LLaYl/f0iWXKDwvB0Kz1i75w6ktIOZszOH+I5P4oFdLPv7685ZQ4UCn0GwsWZcn8bU5fEOjmrpjnwEAV0C0H9TUMxyTaYACZM+oZN1Ps4SKzji49mEl5J15OUQETOuz9vFkj7mwN/yJl0j5dzOczisginTTJWZcpMCP8jQmZoIDTAExt2gALLSUL5MIsmIl6zy5OdfVoE6O4smi5/Ub3ZEL8oroZPflAiLmLOsSOTXzWile3d2hBCQjBMQDvSsGfLKAaP1kHenGrWm7WUyauK3WTOO2Hxfeme82MvTlcwgB8VjHfCOiyWGVttHDPpfdXQEfluFuJvdBh80XEALiYXGEgBgCojP8UwVEQ0HM9iMu4DTqWgiIBCkgCgWRf9Pyb/zEcR9gDgHxnXwd9zcQb0hsG4bPg+UV/A0xPAeyC264jA/5JHKX2EgtCLJV7SJsScu45JExvqVPdCrbAiIfQ/ZvCRUGBvYPtVPveaFpslFN3bHPAEBjU4KJhhpCvmUBeB2SBN/nO8qRrAHzjhxFizx4kcmtG38q451wAJ8sG57RKI+Nb+J0DVuVwN760YT3eJaAWPyULOtLjF/GLAM1sfVsmwX8OjRogJcv1j/XR0YkgsioIMKFfVsqJVeWmpUhMU9tLnArLTIIiBJJOjT5IDAtINaaYdZZ8vVLt5Wv28AF6cAQEEWVEHAyBMRhX8CATxEQkwa/MdTX7CqlGzctEHSpZpvXjYsAQtkOQEBMbD0QN8o6MNsbgsZlEAJiG/pu0Cgr5814+cUtX96dMjjPvEvu7xgPT/QIA7yAQkD8hDgkAwoNlgXEn/YKiFcZbI8C+PjhbQHxpycpgG/wDkS5kml0V3dnrBtJFyEgzjsUFFAC4vYpZutthrc/iSg6H4EQEN/H13HfwlwPy06Jb4PpwbXupGiEueZYGzA6hU705isp4eDWbAmI2raYSDV0f9dQnXGRBmC7z/KBM5F/Vi9P7h9+zzp4n0OjmrpjnwEiMP5KpKhRjtJAJ/jzE6sxr6poR1kQDbGNOQ/GMC178i19xq176Z3Js5g4ey3niSPQic4gFqVVAf20YeNJAqJMnHElyarWM0pAlKUDFmyGs0MDUefMx+jz6JLmAkQoX8JshcczIDOSawY8LmRhQ+TSg1Eilr/2WIFlAdGGvNw7rfqC8QTEOr3yn506nZA8eAm4xtauh4oQENt4voAo7zGwZFUBEYdkuOAdttfrWQ7NuAptBqqAmFk/6sjvayEgPsBxXV8mBMThHuZbG+UmZaspvHrcfCVCQDwsjhAQQ0D0hoeAyBEC4vEOXyEg1vcaapVwkxAPlQ9DQHwnX7sFRFwjymGqGzLYLhnLinfa3XqhgJhkJHoYezKlpc72B+Jf5u3KYnWKE2fHwvSW0KSTNYZNQKwBTaFRTd2xzwARWD2UwSWWiqwyojJVlBaUgUCHLObhwB4iuzO/kkJm/cEV9y8GOcXgHlX8Ijw5UFCjWYlEb3hzY9nwDAFRzkpWLElg5SwBkSdP5I0fsPqBbdGfl1C4MAREORrfgShCc9NvhE/9mT0zne26yhIxQ61hFqYExJSsKpkVg9y667x9f6BB9YUQEJko66EmOgTECV/AgM8QEDm7rENBRCXxFJopVhu8zrqZxSBWHq1R8phhP9ITEG3upiS/xq2DfXcBtLM8+KkCol/yJrqdqYKiXbrSXJlZww9P9AgDvPBCQDxTHB4kAwoNQkDsxOsNDwGRIwTE4x0+XED0cEr1661cndPXwQIibmHZpghf8BHW7gk3X/aiJFcnc5h40neWOhY3e8WDu+9QuHlr5262FfCEVutOhu2ss2lPjLuhUU3dsc8AEVg9VMGx9KlNtG6tGalnEz/iagKcUMqRUoboUIk2/LlOCYj0vFZGUNc6rAbMD4wngwwmpCU5WBTFTX+d03sKiKDt6QepLEnAppH4u3+ykCDZg7VNA710ZOSBevwHQyJ6CvJCo3GyInpeDRaJ4DJO1yZDs66yRGx1bQ2zsCYg2gu3Sr7zDkQ6CWuFOIZ8h4D4eO+KAZ8kIOIrrdswysFpXGYEWRWvs27WTsuPi+iFIePNhDjvzNGZeQiIPqhe/nrWB1+5BrtLz185w3LmVXnnfCVCQDwsjhMKiF4ckgGFBiEgduL1hn8vAbFH8NOoayEg9nFK9eutXJ3T1xECYj2Qz3KJ9sx8R3WBdaWuNnp/LrdlshGe962tGZcZbp4v/D2IKnx4YuDRZdAA2Mqo++HE+KxZQut8nQx3s67QsdWopu7YZ4AXGJSePf+bAiLIMphX7JVVEzfLTTnbdtQkNnPwcKgkuyoU8WLx6HhQrAkzsH3nD82fZQItsfQxT6woI5XoAI26WKCAcPJVH4PKz3oVag4IErA4ZbGzakWaUeLqOWnC4AEzZBBhqwYL0hEQ+XQkFTLaFodgAR1nMyTAHm4IswsCoplnntMGsihHnaVsFdWaFxCtObbzEgKiYMAHCYgZWCN4Sr3oYlZstW419sIm7zLsigfOWgIiuTEvFJOkzQthKlv77gKLTiWeJiDmUd1wrFtWB7KD4EE5+uJF36J60HwBqwLijL0QEM8Wh2DA1+2/AnjROMWH/zQ//IsPvylwIw718MuThjuTJwFxafht8qPxHj68wmFJey28M2yYjH24kXQRAuK8Q80CE6dUv97K1Tl9HfktzOpZjpYPkIWUgIgbems3pp5UReesRQN6pGeeuYCIY2nTxiaAChgOhRkaW3fWUHxfyojyn15WKZ6hrItxza1Aazh07DOgFRirBldY8HGMVTVjmwLahOHDu37pSAUAWlC+V6tEnasAxEMsHRONxgLcT0Fu8OFARMenCXWs0fDGCfBpjfRfoIDpkaWEJmY/Z8MTMpUHupksmKSBHYIViczYdnRhAiLE1qRCFhWtZ/noTOMxiVg4HlKp1kp1yELFlIBI9NVJtE6IXIsekCGvPNuJ5XcgwhzHMiSweD1MOXex03kIiHRt07WFlOVsarC3TVQYbvVhq0dZAi58CAWbyzVqntCLirkLWcvW/rvAglOJ1wuIg7cWjwVic4O3CeNuJAREXk7Bjt3zBYSAeFgcISCGgOgN/+YCouDZadS1EBD7OKX69VauzunrIAGRLRbO3YgtKaaAOLlXc/QF42Rxvgkx2gIbKuYCExLOxazV1p2dupveEkq9xADKxgECojTQqCZijAGtwCi5KpJGAd02mXvebJ/RvbZD7YxxgI9JKCCyEZLp8AKni3FuTZwWaiwNlFmT1JkCT8NI/wUKaI8JJ2qdk8UopGEtaMga17RK3eg9kVpAVKsFPuWx3MEQkwk2FXJiFwQzCB6NYcwvNhSjeZeAKCJaFRDF/HmS3LrwBLC+uVHJes4QEJvcpiznCQHRNLh4PUw5d7HTeQiINwgGZs04Z5mQZDRGKiOmFaNNr5g1PB4jTWHLliIp78b7zmdr/11gwanESwREtdXbAWG1uwUiAZFiwvjo1c75AkJAPCyOzxUQ4yPM8RFmiyXdJTAExKc5DAHxtK7O6et4AVE/8zLlBDZBMLQ+les9Vu7uu8rWDJ8JsuhxuxisoexhVgRU59PaVbJp5Lrpo1Pb0S2hEK1OxIKAmGSQvLWiUU3EGANagVGGZICYPL63LhFiWmUKVeHIgHkaBwrJgolAGXtuxx0B0fCUIeZtYLYmzxrZkyYmkR9fdgqIXZGFY4EChkeWGpsD+EClRm8/LixjVubRRjJQ/IMyYF/NInhxEXsConSG9q0qwEg+hJGhwYZ6VKo1Xx1l9oo1ARFTYFzoCJgib3Uucp7I+8GFL3XshJkwyHIe3F+VaigsXg9Tzl3sdP5dBESzcHDaZKCgWrYXE6Cx6qGHmVaaluUUuN1c+bxlKzGe25TlbVMl2X8XWHAq8QAB0UpSOYHl4TuZJhda1Rw5B95h/yeJgPUemu8YVgVEL5shIH5CHJIBhQbrAuJP08OlgPjTPgVw7/CfhuId9P5cAXHC++EC4h1iWTuNuhYCYh+nVL/eytU5fR0nIOIx7YvuP8Rjdt0niQ2V3HAN77/lTjvxl7XTxRAQ2ZMoN1WO+VS+sNUIJlfPquctoTzaVg7Hso7RcRvSVqOaiDEG+IFtk4NItAYon7Jypg9xKVrI0VkdCLDk6zYwIySczAOofwMRNvq1r4hImocNvw5QZwS3wAleDVfPhJhiFwsUkP6+YBHwOSCemypzjMUh6wrKFyrLdSjzqHnQIwK9PQ5jLZ15KOYaBo/9RphkJ9MAnw26WtP1eZWAePeCPfjapdLGOtbXvoBYJ0Qzg9Lmwf0VeRTYdyGGgNjBMwTESr96vWoeb2YOgX2h5Po/7DYwInUzycDnIQGxl61m5z13gSWnEs8UELNd82kiqC2mY8HZ1BjLvxW87nF4okcY4AUaAuInxCEZUGgQAmIn3kHv301ALEhlJ2ja68KNpIsQEOcdahaYOKX69VauzunraAGR7YrhWT2jLKc2UHIf5e26nHHq6dEefXH+XkNm/8PjA5vb7/8rAVFpSXCCySfp0QJix0ajmrpjnwF+YGLSmBUXuSEgogCU2GOW9fSniMfLgW00pgRMc6A+nAucYcwIPdYJZkCLsISiyFMExMGbywIFpL+v4pdy3n0k38Zmp3e2WGDYbNPA4gEnAq1WWU1B1m/rkKmLaKBFgJllFphpZs94gsRXulrT9ek8bTUZUFpUzu1KqFYpIJYpQ3f5kjfNCoiQv2EB0cS+CzEExA4eICDKUgp6WrcQuE7bZB6Ac6HAwn//bRW/JQnnPIy6RoSAuOJYJYk1rNYYMSggNn7/6aJ19vBEjzDACygExE+IQzKg0CAExE68g96/h4CosbWeRl0LAbGPU6pfb+XqnL4OERDZQlGkkMYO6S7iZWu/JrbV/oK0HeqR5fHYGaz+BiJs7y3D+h2K8gFFxpbF6+q6CIiQsC5KCLsefRvV1B37DADUwCipWgR06lHz2+hVrWWiVS2KqkCiOhqnhJSIzBUFgz7bK96Vuau96uliBaW0OiM5NZKjZqpH/Vtsol6PFxB5Tr3EG2A6UF9AZCzA/7RBQQOLZRAoEapOh9tT5sU6wRPAqZAld2So0F+JYN1q1eTzMjRrZOIpAqINuIISViXxE8kTEJ2ZMV7hHJcwfT0gQkBs4wFOOCWQSK1bUu08w+HGiMx/ovd7iCgg+rfDGhneOJrTnsiW6Lx6F1h2KvEAAVEhmavNXM2bw92T/rLZjnXffE2sCogz9kJAPFsckgGFBiEgduId9P5dBcQNp1HXQkDs45Tq11u5OqevpwqI94ZNxGsKiDg2875SmVCtlm16sKc/qkYm2CN/0q01ALbpL1PNYqCQFdircoky12MoIWxZbw/0zjaqqTv2GQAAAVFtyPtPa+XgYv8NRCYdYS0zK6P9sKUdZSoAaBbkg1EwY9WrCCRH8QPwo6yrOePzAjscql4qV5u3fxZWnyMg5us7dbOkQFdAhPzX3uxNuwYLJmkgn8upXPSal5esZ22Idahzd6hQqUYd9dzR2LKAyK7BZo0MPFNAFFnI4rJRWWKLrC8gNmZcUvNsDQ8iCwGxjaFb3JwTbisBt8z9h6Rnk8MjEK70SsgFRO6xBo/msoy+P+3aMFWSPXcBaWd5MLHOnelux8lcbQ4EldHfBejWRqz75msiBMTD4ggBMQTEQe+fLiDWLbFNsNOoayEg9nFK9eutXJ3T13EColgkaOnABeXmtPbv7L2MBenLHiR35eoBQDVxIaLnNAsBcXNIu0J/JtXdllDsLLJlofg7oYCYc0263Dtb+bpko0uxzB6ZSruXcpZbGsFHlboJKuCLS50SnDGnVEO0pouRyicJ/ryQavXo6P7ivAJiVlxoonavVajZcVgwQQN5rddaMKP82kQLUonMrEPihYSTOJ/c5IJDBsUGWa16hv47p4DITqvRtekisskZZs+v9g0BccIXMOCsAiLHjQY3Hy4rbfJerC6GFb2sy5XC6HibrvGnmTP/oePji5OYpZXClEJAbKHkUtXhGJj7H9Mbu2+Kda2ThYMSjQZXGRAC4ifEIRlQaBACYifeQe8fLiDCFr12p+PTqGshIPZxSvXrrVyd09dBfwOxPqSpm5FcUerfukvm43Rz83U9+HI6wRGMyEon4CNKwIY/msG2FMq/v06ShrfPZ3PdEoruWJbEgZd1v0PrbKOaumOfAVZgGEKdHpuv0gwkMp5AY0o6cowYNZEPdlA/w4pBH5qE9bAB0wXXdmtJFAylBDoCInbj3ZugYY8XELlHPvtcXnef0FS/3GaB+yRWOmUawtYA4IEjIPITOfMZARMmqMCav1iTmJR6ZIQmFk2pFuZ+rDoG1gREfgzT7Zaa56XfvbpZEhBLakJAHPYFDPgEAZGM9zk6ckL0ydYyhIshjmXBtB7CMq1bsCp+falM1QE43RwC4hA6pT8Q4JDDuC1gfEfOlxAC4mFxhIAYAuKg9w8REL2bl7F5zSEgPtZhCIindXVOX00B8WsCt90P+8nb1e5oO8bzhjT4pducltL8Ba82L451x1E9/hIO8cRX+Uk+Sl85z1uHW0K3Y7JEWRIHjTwvnB2u5g4GQAh1eixvXgmgWqwUX0b50YzdodTEcScYowIw6cO5rYOD6UrXspUlCs/VdlHHdBUQv7zi9gjTp5TAYyhgcsC/5DULRF/eaNGgls4cx45FAzrD65SOeWAdKgxzwSGDwYZyUKqFuR+rTgtNBpQWNiX7imyvuIivfvfq5iKSzNLnzK9G2UtND4vXwzF4pvP9a8BTotVOuuRO8pJ0Cdk90VhZhuyzYNQzGFuA2P6F70Ws2ZYBOh/Xn1Ml2c8AsrM8eA9MxzJh6uxsHacKzl4xf1ZnHhDGNzffPTiKAYR29nXnCZ9Ta/tD45gz/dZxCAaEgPjdBUSHJb11b52ZLi13mnh3j2/kULPAxCnVr7dydU5fOwXEVJ/iyuaG/2wuLF/Uy5AB2JM7f6k2/8XGF5w3nuw7AfFHdz9kKzjuEcUSHEzLLJu4k9BOrt2Tza1Av5pfS7tG4ZNnYORJbRtzKd2/3FpTzrXMJE32nYuHMd6GEQhqWcqQKWhgxNDrS8UPmpFVFD4W+nXvx9zlSD3nKSAN6zQ5teAXVH36hZxhH5HTrwYNKBLbtYohJU0EuQzVV9jGlxlJhREuWFN2UsuaEwiIFP54tby+TQYwh8OJHenbrRMXEGv07IQ3y3kB0Ul6CIiTFg4Pq++kcb3gfw2eNTmsV3273ygMAfEL/5kx27M1XjNTUyXZzwCyszx4D0zHLHPGqcNhb0/Kv4ZLGS4FODffPTiKAYRW+FbnEBBfG4dgQJGh9giIVYMbHa4ExHsI6wrgT68UEH96qYA47H1OQOwugUuk9OFG8jA83eMbOdQsMHFK9eutXJ3T186PMCf8hM3W5H6mUHyIU3y4ED73Sf34S7UlKzbQofwwihsPjkRT+mNH9w8NwScNi23xAcsmVBYyvbEbGuHVV+KfB5Wo4Tz/I8zCZ6KitdIhP/Z4gTb1wS+eMkphk2dNJvLal7BVZ+Se/uBqHUgtSc9efuaZDcNPWbNMMvu3V0VAxETzHwP1Sd2uN8xTQBpms80tDuAnhCFb5dRFfry3DjAybdq/nes9H3aIIJcX4RbmXVvoR48LchaCDIoN/LOKpUQU/ni1RN+1jzB3cjrcym1aner5iyg8pNqcZT09+AmP5CVxeBm1ER9hbuMAJ07pyqVHNwaftnIbAu+wYAbGbvY9F/ojzDAJCNyKo5mfOofbv6mSLGwEXDvLg/dcMKbjmjCduNViNgvtvczGWegpwqUA5+Y7ivgI82FxfPRHmENA/NYCos2S9hLIIF6e5vO96x5PM0XfoWaBiVOqX2/l6py+jhcQOzux23a8DnV2WiAtlJe3f46AKLyO7Aa5zKFPKC/XLcp14rqVtQn1w/NM04ZEUlCy9Zb1Gi+cR3GIvR5cH9rLxcgQDNkWdrQiI7MmBEQ2PxxBk4ZEmwqPlXuyX19VV7rslg9jJ49GhTqon/1ytvJBg7VklEwBcTPeKEY2ONLDPAWkYUiCfy3kLEkgsnx3D5UBszQ9USJ4aQaQ4e4wCxIAACAASURBVJBPwrLjPAnaVyybGsu/mCXrp11iEg02ZAq7lIjS0qpM5nyQi8SCgNgsr3neza8gjmXqfsYWEGWe+CxZaoYFRFYcPfdFhIDYxoiTtFQPoodBPsE1eYtnv7wpxNAdObmVNVv946zVZ6ULvPmw5dJMDrdZo54qycJGwLWzPHiGdTIXbcf2utgp5nHwb0y1R4lJBejMqDlff9gdISAeFkcIiCEgDg7/dAFRXpWCZ6dR176DgOiuRZoFJk6pfr2Vq3P6OvJLVLYftNFRB0kIiM3tUxmZjc1dB0MDatz6cdbc8dM7ELcxmUdJJrlBbulCTyJgoT7iln8qsbe2L26OnbOqoDZUjWoixhgAEHRIXDdJEKGX4RsvKG0owGEpxHPUNJguU83wNDudrUjYbFlXnoXSLdkDYUJgjNPgfv4CmcWIebHZQDbeO2digQLaJcynpjwLDkgSYEK2eVMp2FCrXDPgsSVeq0oJ6M0uc1S6QWmiZ3+e7cSz4HNB8JFbqW1w+d9/XLjdzKgIlcDiEEnhzAMExFFkKzk6VbeDC78MWAyY8jqC82lif8Vs6bkvIgTENh4nIOL4IT467Bs0QOPKf4PutiDVAsfvMfyMnRweKEU8k639dwGyszz4cQKibSCxDHd/8eScHHlDzoAtvNdDhPZtvDlfZ0xFCIiHxRECYgiIg8M/XUDs8Ps06loIiH2cUv16K1fn9HWQgMh3PLR2qNUklXcVZdjjGj2NB8SWZft8d6PPTPvyVj1JfamfCJ+nQ/S9ZZu7EtmjB384Bw/q1JfOyTqUA7UKONVEjDEAUOmQWMUyTFSVo06kKGCyA73MumnkEc7pQXGJoqlBlyzZZ4zCYSgTCbXHGkhj/fRSNLwhs6TyYmtT4HKkngsUEO7ZpLPPgYTl9ErbYsEyDdh4efUa7jLvWAREZHMWsaAimRkXRDdwKRcGM8HYQ5jNbB3JZsnZeHFyQUBsZrfbA/rCBK0umQoA2WRJ0FnCvta9y06RvZJOXw+IEBDbeLQTTcpJjk6OKN0HBUR5S9xCTurk/dxXOfBnKu4yM9nacxeQdpYH77lgRh2nZK3f7UrtQufuBdJwwgIndmpqvs6YihAQD4sjBMQQEAeHfwMBsbFgnUddCwGxj1OqX2/l6py+HiIg5qz2v3VrdLfL9kd8jRG7KPl0rPZYvM1atfz1TA3S3lV/KfqYbm3944qLEhAdZUe8ZA/JNcjMHzKsoeJMo5qIMQYAhgVElg1KKD3j/+7NSB3WIoufPgzqeYNK8MpjplfqkSxxvpvObc0MRaPMO7F60hFdM1ItqYMydFZiInf5IAoIlyyn2eCAuJogszmrdOnmziOYGm3m3upMhUHzHQFRacRwiocvycwZRs6ZOVk4dohjKSqkUYMPcpF4vYBY52x1yVQA6AgUy0i0uriU6c4LiNbcFxECYhtPEBC7HPXvMM5a38bkRVB/9u6cIDOJSdJsM46+Z+vxdwFpZ3nwywRE92/mTpa/acK2hTJhPaBYk13AwxO9hwEhIH5CHJIBISCGgGiwZGzV0+is7u7V4UbSRQiIrsNmtgdwSvXrrVyd09eRAmLC19QutkYXWBxwiWnuqJL+G4hWp9rmN2hXGImyLiUD10ejgysgZtRcUm1P2IPMZUdAZL3VKuB1VR37DAAIAZGizWyiKqE6U3cBURdNyipgtJX/7PDQCsXXjVhPYawet0nQYmbmdZWFTzTp7clPiCukGIm063pYrx0sUEC4uDMCJghhN/Ll1QqXmJrCOmXfYt92PV//6xDBZMJYCCPxZWaOT7fmmNdaRiVp1OCDXCQeICAOpqWE3Ta1vRgQEGmyom9KarGqp5HF7Lye+yJCQGzjKQLil0M04xIXLe4moMPchk2zr3CTDRsUi7HKGxfe/cUlBESNkr+hEk2C3VFkLVxfDQExUajr8zURAuJhcYSAGALi4PBvJSDyheyOXQJi99qxOnxTAXFgnfEdahaYOKX69VauzunrsL+BiCzFY/FAXgTEhPtce3uea5fbT19ANIb2VzTDTUrJsHVrRudjzxOsg/sR5kwtSQoA9dUXN5ffUUBE/0m94ukw84YJxSd/ZhSSKCxYBHJrw8lFXW+CnRoq/XP5oSl/KI1HBEA/WLnLuOKEC4gUAvlmiX6pgHhHFRC1dzbpgXRd1wpoZnYxf00jA07xqU5ZlfZ5DLIm45Ozo5Dm2gLibRGHyLKwISoAJTHKlucFRGNWogfO0DjRXknr9XDFmIBIU0TXIwKiOK/nvogQENtYdTK0rm0FvfmwOduB3K/wdn+QvJDNkdsbALgjzzCuh/YmQId1fzGRrY8REI302NiS2l6iD4XtCQXEzOtV2pI1p8MTPcIAMxLHXgiI7xqHB8kAJuH99FPhxLyAeJMAR4ebAuLm33eoh1/A+w798aeBeBvDXyoggvb6JAGRb/lxYAiIxzsMAfG0rs7p6wgBsS4QvKmcsHZMclxz/cmlz11A1AqiYWhkE2hoAmDRGFF8bxMrkfkPBnjMvs6R7wVBDygjKEMYUed5l9kfXB8ExhgAQDqI+dHcOvm/6CaVLT1Jx+joUwAZEQ9dFxWi9M8pV1Sbjg8ZJR0zpacaZjncKsGigJCN9IsmqyYuFiigHBrurAQo4c+/9pRdaFa9daKbkPIfS7BlSDIBzPhUMEnbIgNjQ1LFu7dc0I688PUw4BqcWBMQh1nfQu7XCgRESI0WEHkMuS6yt0YUEKEvJE22wdwXYdocxk7n31JATOxCYjfsNLo0yIuTGRhDHroMuICYYRHRy0WlM/1G0Zyscj0lt34bARES5d9/HgFv5aQjtatu3MgPT/QIA8xIHHshIJ4tDsmAEBBDQDRYMrLUOQLi1BVQHV5CQJzyOJBl36FmgYlTql9v5eqcvg4VEOGpN9vPypdyMCggMrHg+t/Vd2OFKi/ApWe44dJu1wKiPdR2f6kCYm2HPWGCrWzNJEaU5WlcIxLZG1wf2svFyBAtICY+m6EC329DXmWFXqPTLPPts4rl2hjYpoQOQ3iFhtLTCRUKyh8diRU84IvOcA2ZUyBpLYSbeRAFEHx2tqRm5XkbOiQgcutWevsCYkZLMjSWYGmI3hOpBUSjv9a43K5sXWRLAUgWuoz1upF0qAuUrA2fP5xbfgeiAbeH29qzWU8v/Q3EEQERrqRkXSxr10OFaXMYO52HgIgF98iZvV6itXtf893oXr6AqJeH7e7ABUQaRpMNAXFeQBwo2FhBd0CRj00iNSZzeKJHGOAFFALiJ8QhGRACYgiIBksG1jQTuwTEJXxTAXGXQ80CE6dUv97K1Tl97RQQE25xtyZxCEAB0d+Q4c65vvAFRHjVWMxqh5a6oFuuTUJA1Lt7pZlx4eHCBERwRKniw4WMBAZ59uEwkb3B9aG9XIwMqVGojLiKgNEuBUSUUuUoz3Jun+ZPWFaXhoSRG6Sx6FLdSMWvnldjM5xi1WQmlTmUPdQdmXuU5w6jQFIxMLdWjlq8gHP0/jozYZ5QCO3OetEUuORZdaHrwjngheD1wA7aUMaTLhsuahh5NGouvMK5IwVENytua89mPR0C4prbdxQQMSPHO0l0CQly9fkre42NaBjwO+BDGLCS/cDfLyRGUjYgKcbXc1u2kITJ4eTCRmCtRAARzQECouuo+GvtU1YKOtVtxAalZXu1Mt8OQkA8LI4QEENAbAz/lgIirWd8YAiIxzsMAfG0rs7p61ABcWtRx0qYybKD1WnslNljaPuWjaNmN/gDjPc9C3vJtvqmvVu2lXGWyDIc1ARbZuXZB9QWcaZRzeZyMTKE+fTUZPUK83hLD83SK8eAtf4bCCjX3mgtx5RDNj/0L59E3PD0aBZNLTivfDnAfGOcMNgSjEShjqYAGeZx6zz00sIFRLgKZJ+uvWwe2n2y0V1edfAIJ+z2qTDKBfjVAfkV3qrVe7WSmiKjQ5MPcpF4XwExJ5anMQGRpsj7ugIixaA4zV4OL6M29ughISAuO8ltAbHF5KGNRAvde9n9QAuIFkNZF/idg339Z7mOXMr7HP0KYGonNwL7SmRFc7yAKPZHiX4eUOwldLyKu6tVrLR/bQoB8bA4QkAMAbEx/BsLiHL5Oo26FgJiH6dUv97K1Tl9LQuIiZ7fzD1R9vuIL0aomyh/KzUrIKJdb8T0hvGLfYNjzpaJLUOWu1u2ZXDwy+Xykp13BESWXURt49E014f2cjEypHqq4eYyj6wihtmzCU4IiJgymVBnrHRr9zYtcAFRCjn1BZDd0suT7i7PoW0pICZW2ixG0vnaC7sKWeVgCpBpCtd8aJeZycbPDgm6LJh+q1HWcXgyF8+7/2hPS0PWEba4YPKRFgW2IFCdne0bLsE2H+RT15qA2CuU2WpMtLlW15jTg96BmOS1IRruL4eXURshIDqhbRBOVE2WnFRmIPH8i66Nyd65t8u4n54VENndQcckGI9ezi4gjt3DXMd0EyV/7QK9FJiTlMzZp/1rUwiIh8VxQgHRg2RACIghIBosmV3QCk6jrn0HAdFdizQLTJxS/XorV+f0dYSAmK2H5K3V2p1djB2u9bo2jyxL7qnpE+5Z8bi5ue1LGPe2W7ZVK+ogKCAyuUI+95TsZmGmAns9UUBk//Ows6wjzfLe7gqIueaBax+KO0bKLSjbKijfEj5u8LEwe7RhmYShZBSyZdG+5lvYp3OCB0ag/T3rPAUogJQkBbz0JXlKJEsuKXgFOCwYoIGzxIA2OEQncI5UKEsDnulzAX6ngLaNoVu1RCOclI+cGK3kwvI7ENtFtVpVFvrdq8vHC4jkEZpW9nVgJgTENh4rIN7/53+GpMVTD7hO9LsPCYjGR5jlPUHZZZ3F1SMYT7hnyyK2ndrJjcByiVw8T0B0qzTHjkPA7xiZKkS3voxlS4trE0MIiIfFcUIB0YtDMiAExBAQDZYMrGi0G2Y4jboWAmIHf/uHH1f8caTvIP71P91M/viz2VrAz64FsWRxwdX//acfGn/4y0Om9fuQv/uXdsgkIO6c5EMERL710ZuiywVWEzpt2jEMNxaoCewcIYWBnunrJVq/hVlZ4WoDpkw8RzCBgA9ncgrPap7eXY4xAFA8ASUSf6xhD/g6L5kERDN9RC8j4zkndW4AIouOZ2+UjMs4h4emQGh3pfO7BEQRH1g+ngIUQFIUwBBQd9KsVlcEn7pOmHrKlqPSILLI9shTP44XJ91at7jAW8WhyOZ2Io8KiCkZfJBcOEJAzG4tmshed75UbscPExDhIkqYnFSXUXGif2k4L6YxvIY7MYSAeP2f/xkSm3HeXmLuFjM1yPsbiGK8sXEQCwNfdfVELiEg0k2Ut4kNRWtv93Dg+oWhUys/neraNJgajRAQD4sjBMQQEBvDv7GAKAdO0Z879CLpIgRE16FbDM0CiU1pOlJC/JWpaX9i7b8JBY6UttUgFiwuuWoKiAdP6+cfUkBUZoqAuHuSR/wNxKx2qtSmHnpvdlkX+8HdHKx2WL3GJnaMMJ7mp+wYzwHGSzuBtWdmia9KQT0DD8MPFxAlBWqzM39bcdAnmS1MRVYHM8gjNGsME3H58kfSqVHnzcNuX9HGEw7HFGBtPJ4CyVgFtgareMYk3CuCm1OGOqmdgFrAproba5i9SFkBO3KBYcD0aguIJfnMq+BDyooLUwKiE5gvIPauguFShoC4htMJiEc4SYz/nZtGLpfLKBFHMGbMFxCxm7M+iNXTHV+uXCNBZmonNwKLJWpgz1t2bcdqf8T2KcSPQykwCVy/MHRq5afT3BbPQgiIh8XxXQTEoketCYgaswKihVEBcRxrw1e8jyiABwiIPwnp1xx++EeY4eGkR7se1le6EBDnHWoWCMDb54oktgtCbGNi2M+e0rYcxLzFNVdNAfHYaf36QwqI2swmII5NsuXsEAFxaDuUNFPFfmnMzCMExMnRDU1kZO/ZEhDVKecxvPbkqWQQa3Ojms3lYmRI0soIf6RXM2URGwlTdGJdDWtLW32Z9ZYtl95aQ2k+l46EZQVX2ptPhq6ACDRIaeiGPU+BYthIT21lIelJ+rKT7oEripuRPdB2MXrVX/cdNex3LSNkk2CDvX27V0MLiM1FYllABMfexCRB5GyHS/lkAZEl8PMERC8ixYCHCIjS+0yEA05YGS1CSgrmsdVkz5LjXjVjHtStUQ9o3ibKlTuS34WNwEKJVL0QLuu8qLuO+XLBGCIT3X2fqi7CUcD1i883NSe9q0ohIB4WxwkFRA+SASEgDmLF++cLiGJNW94Ora90ISDOO9QsQIiP36rPzi5A6mnVplLhitK2HMS8xUVXpoD4x0dM61fV1TBzFxAHJ9ny9nABUTzQEVOt/dLArsrcsbVj2LoMRjkOkDJG3BhupZBCDwBNAZFGZkomr5FYmxvVbC4XI0P0RCggb9bZTZgqhaJKZsdwYgQswWq8E63jSU94ikMDRMmcAjmrzMjOrBgmKZIgxWEUMMJj7hNNQkYrSZCTaDDSBSwYp4FilTVAiE1eCNLgTirY3d3gNi9bON6XqFB+h/nwegGx1aVip4BIoWRFH5aYREsrdR9eRu0cJ5HwOcw7RxwtILZnMxKttHAGAXFlozBpdNaF/CWDO75cuSP5HbkLeGPHS9Qx92ABsSbsIUXtwXGK6xefr2odmO8gQkA8LI4TCoheHJIBISAOYsX7RwuI1pr2WnVt6tpb9ngeAdHNh2YB4C5+/eEvv/zyy19vatOfOgP6+I3EtU1aKzavn6v9u3/R3wBSgqiDh4PYLCq401p3heBvEzx0Wr8qrdEyc/Pl2hcnWu4OFRBzhr0sPN0Vgt7syu1T1tu4jCdlZ7UszaxiGkLBGHqSQHnHD27Cr3FKPPuwXSQdQQFKYdQqMLaQDDEAwMPhe3NkA5sAjUu6dGoUnx31H0hzU66wXpsB+1KJ6jVV+iLujHQtwdXHH2sUFCMbr1ISpDiMAhRe0hQwysXiSqw3TsZKVz3K4+lry1ZmQ8n1qKEMvaapQDkbccfZkLY7v9XNqjm8EudWBcSxC6STEsi2Kj62rgmIBSEgcngRKQacVUCkw62m/nvLcmOlAJYsnhzGtJXRK61cuSP5HbkLeGPHS9Qx91gBsSarmHwuui5xV7xDQExwIVg9QkA8LI4QEENAXPH+qQKi2NR2ydjHxC1FIARE16GbD80CwG9MkbrpTrs/xIxWbu+F41828kfjK4R/Y+rXXBCbRQV3WuuulH2Y40HTKm9m5AKiZebmy7UvTrQc7hQQC4h+8oGJLSOVj/CIjcqAsergRuvLVCSW9n/cX1ZNaN9oUmKp07PCWGn7AqJsBe8Z95isBiDhPFZArHRIeg3C6Mp/6hGdTRlbjPGZ/TC504G0j6fcUWp0VudbBbNHCI+Of8qbbYkiMwVEbvpBFECHYoFIuoalicXL5lHacHZW3soP3auPVt8GR+gq9vrghOUZfVhfDZFBsqEtIE7xYVpAbKc7my/dSfUfp7ceTxYQeR6nrwc0I2xOYt454v0ExJEIm+g6IZKUf19fYkUCirVfe+Ma6KtEc/ZGbHibmHrljqa2dxdIA6Z2sXb1+WvMcc1VeZHm67sDXU9AVIq4HKnJLAqIabsqrASuMiAExE+IQzIgBMRBrHj/VAERVzRFxqlrgGg5O4Z5vGPK77LHzxcQf97eLHhTpG7fvLH3LYhX9erf/g94WT7T++v9UCltJYgbpoL49Yf8ome0qKa17orjJotWv8dNq34bCxcQLTM3X659caLl8UABMW2bddUK2xd+H5TPe4OrUP1PNk5DjfL23narjthoGooDnoibPWFI9gREdq6uAqpgA8uFwwCbDjUqiIR7U7MQDOC5kLmRo3JarbqFLD00+9l97YfSthE1fa97f7pZZBrIkZ8oICaggOSAJcB2SeCz4FgajBOhY8Vcn1zRoulU2BJscLdvNdXDfJgSEOXCYwRgvnSWUnEp2PNJZcawXOY6Jd4rFYvC6DcUEDe3RwuIbaxE+7sTMyA3b52/SMlJwv5VsiT54siF5ACLx4ZzvIA4amd5cPsR0z2xOW6ft3eevrr8dLAZsp9NATHRwpVYD/uQN4WAeFgcJxQQPegnwpbANoBBqW5l+ICN7vC2xbVRw8NHJj+Qo4HJrxuxWTK9riW2IZm6BoiWs2Pu+Iy/gdhM2ZMFxKsSdlP77urXbz/2/xXEX3/AmwJvb40jYevqTCptNYg7ZoL4GUZqi3JaO1wx3OZEczxqWts3J/9//wk6mmauvlz78kTL5+EColAK6ia+NNB9kDZJrM/I2jO5YC2Cx+I+2mudY2d0w8NBE+APQChGslVAFWxguXAYYNMhsQJBwWEDXGcJSgZr1sJDIQuf/WKilWYgfY1bsoyPGZAaR8e7kIw8c1DXRATgjgYY8AgBEVt41Px/PlvZQiMFCw7hgXS/f40ZjssTEN3Vp8cGSYdRPjxaQOy19kpZT8ffQJxEYvt1+5TpCxhwVgGx/mT/2vBZuLLU7FtIDlWyQkDU43HLVA7V3ec5kBufwwTENq4dQ0A8LI4QEH3sEdA6wwdsdIe3La6NGh4+MvmBHA1Mft2IzZLZZQ42JDPXwNbXjaSLEBBdh67RNiOq6nRXv64SliXIzeBn8aZAEhSvutv1U7ZSaRPS2kQQxaKEO611Vxy/wseRj5rWXT/8w1/+FQVE08zVl2tfnmhN5SABkYOoiLugbAiIbAPHG3GxoR2d3t4Nr1ozC5yOw+1pOtqx53QSYPkuzkS4bQGRDRhZLpqFdumQOAOsMNnJclA/ipnvu0GeEV59ZqCRxcWHQPRMb6qll01Lw6KRfdxUhIBXWZ+n4OWlt4X2FAGxMoJZpyANDmQ+A5pkpicifCbSLGhdcP7F0ymVugxTq1I7qOB2dL1pNtgjeS4fLCCydOKF254XtvYSVn1MCojCbwiIxinTFzDgUZ8uBjxKQAQfio29pWD2AUk5WO91qJhpC4jpuI2Aa2eknxnHYwXEspLejvjd5VDddh1i10sBJ2vut9083CzVbP1MhIB4WBwfLSAGvjVslgwtZXLXnv3bfY/UbiRdvJ2A2HoGW3L4bAHx5/L2wE39kurfPK5yGuhkv9Z3IF4lrvq5YisI9nosiGJRwp3WuisG/ADzYdMqH0IWAqJp5urLtS9PtPAsAbEekl2+ntQjseDkjO1sW+U3LEEoG0P9rX6tR/uWVzbc6OAoFPwxV56AStSsJ5rfyHLRLPQAHXhY2Ugx9aqbXwpMJgUf99eqXvfgqrE8SAjlxldEnJqMBqGP3cdIsl9Kp09S8Ky8FJOuOb7aRwEB+TcQ9aXOJ8Muo8z/1b+Xip0ECxYvfnoYg1bPqpV0lxhkfzaokWb2FJntQO/+a8hbDTQf5PblCAGR5u9kwG3tJawafJiAyBjbEBBTcq4bE8ruOhYvxopTCIgHO9H4UiR0L9VtjbjsUhB7MNchjKB7xr4xZcH+swqIj3PMffI0Spn5RaAY2QtDQExlbUrN9aV1MgTEw+IIATHwqbBZMryWaTJOXQGltxtJFyEgevAdNglx+yzuTXTa1K9fJ7SnQZDJqzL2p/I9ISSlURBqRA9di2JaO1wxwJ8YPG5af/uHu1UUEG0zv0/rnz37akQLCwLi7YtMZpHKhhbs8m3SttCU9Ya9rD3hlFygRpaxIQhTXVln6pTpixIwOQ0jgfVE5ruImnXWf2S5aBWzQCxZ2nJSUWLHW5MQEHkWzaSMZMrRd4cFRGHjMIo5D39GHbGLdZqpHezBgkahxtOs0wQF3MHe2RoEckCQIMsJJV9AFFdOA2baWuO01frUhjHYL52mPuxB3nq0JUiboOyx5VNaKa0McwIir6xZhsyd9ebYz1g1slNABI7KGOhcwuSk8pB+QgFxc3teAdHNm3bSTfFXSlDn7afNuDvf7Cek4zYc/oU/uB1wh+PrLVsWse3UdjcCAxgdbMbRZp0XesNxEpdjktf8TNofBLYZLBGXV7efpUVMqrs0iS0hIATEw+L4XAFx6ss7oN+O4dke3nGoh1+eNFyf8odPfQvKeLz7hz/kS1QyfwrYnExdAdWhF0kHv2/+3kBATHgLOtjhk9+BSG8XZEqb9Za+dbB3JF6N/5d/Kt8TUjUu8z2LY0F0LYpp7XBFEN8Sc9i0/vb/3n9qAVGb2QRE074a0cLTBcR0FwXYb1TrkdpE5cx7trd1Ql6YgBmAMjzcPhWEEhB7VqQMkOAZiA7EbrFWM3VW7EEGLAqIsGlPpi6TaZpAEJWNRsWMbMCobDVy0cVXOQ55tKhGhIKhaJBb3aFLSTv7gedVZfDVJAXcwd5ZigIf3PgB5T5j6Al7mSkzMiNp0L+6wCo3LXoLjrhlmYKS+MSBJHP2BMQSIPBBUS0/UEAEDU4E+EXv7oErn70wi1pbFwXE7fjJAiJgx9D8GAGx5QsY8Ky/gWjCzNu1UTvppviL9WAXCdGFSFEERGArZ5TB0jW495uxdcRef7IK8HLKv4HoInkzuZ0wHcOQLVPiTDq0sk04ZaeFH+KmXZE597GlyekSAuJhcYSAGALi4PDvLiBO8Z859CLp4A0FxAmHg8l6tID4C+D//OcfP/7df2cNf/3x48e//1+/HAhm8R9/IP7D7iBmLR4x33/+r7+P+X92BNHD//6PvN/8XOQJvQ4wPOAjzA3cVxIQEOlMVotNpk0eG2Fvwvbs+ZpjvZONQeOx1CSUl4NWxDOzFGJ8AbGHMQYAugJilueFgEhPbPiSCwWWdjSQXG4mG/+JTEuaCVlEtaxBSKaQDdFTh2d3KYZ59sGErgy+2kcBXeJuh7aAaFwIbE5svqrNyJBTzlYx20QYYMIKT4AMrBkqKdlgC4ipmEqSD3TqOAGRrNfaJsqhCPDL+nhg5pHrmgInfAFRzBNfbD93C4iazcMQNiex0/mJBUQBqvyAE5lz66lFXi7IQxQQGV/kBXk0hu83oxHcnxLGSLj/OODCZQAADGxJREFULkB2lgfPsi6xKg45TnwPxZqujiHDDyuyhiUg3gOTMifg8ESPMECH4dsLAfFd4/AgGVBoEAJiJ97B4d9IQLx3xWXN+l3eCNxIOggBccohO8OAWtXjBcSrhx9/fzu8KW+G1LYexLTFI+Z7HcJtHD6tbyggqqe/eo7tqY7Sb4zVbXeHXd3FAzFvzM7O1cqsPqbG4RVwjAGAJh0g1lR2x+K0O2N+y9HJYj3sfHpnstenUqx5U/SeJkablYDYHp96AVH+2reZ1jmGBQoIICMMtzVc0cQekvQsM7QSM0RKJ9CmiaFkGzF5J2Y9JpcM3m9NPFucDu2aS21lSUCUJa0hs8f5bgbyxKI5+y3MGbKFApKMgRgrEnd/ebtjzjz1qRytDs0hIFZQ5bUTQ3ZxSM7OEF3460IaT0BMnfYODtzKjJr6dAHxlovcEBD5eaO1vrr9nuFBxeoC1m8Is7mCHJ7oEQZ48YSA+AlxSAYUGoSA2Il3cPi3ExA503CNm7kU3EhMcMPvICCuOhzM0HMFxKtWBSIUilcH4B/xLXk/fvyb/3Z78T9vUtvf7wti2uIB81VvQDx8Wthvfi7yhF4HGJoC4jhui8Htx/3FdkQN9S8JXai5DtQoFkfWpg9AnadKiJMBqwDm8bMhg6zBsrmIl+yEk4Rzw5iNSNOiFTjFrr1GbZ7AAAz0UteGygVnWooEEyx4P8J41+2KKYdA7tpZO/RqvpMP3GOP5P3W4dRcBEcu+vZTT7O+zP/lovpuduvEKHEyj2k9azuGfmOopNVqjnYWrzlbkJGDd993w1iYlzrlA4vzMiR7E5QuLjVokDhPre9VcWeW74S5+KZ6z5p+lzgeZfr1cYSAOBrv4PDTCYg2JhazegykYz1GfcoAWiePsfNueFGwWqt6qID4j+zten9ln+/dhLibq/Ugpi0eMF/5BsTjpxUC4rCA+E7bvT0YFxB5FkUBzONnA2K9CAERxaQQELcXfvXdIfIUz3+rNo8sPXPDJ+cIiOW1mtM3ERAb9ZRjjEz0BMSxmp9KQCTmrAmI7JZyuai+KQTEd8U+AVF3KHyo//nkfL91xcTYxTecolMgGdNIeL9xB9nnvbw9Ahfr7qbY9/4rxlx8U71nTb9LHCEghoAYAmJzxSujuIHtYNSnDKB18hg774a3CPb6fR1/+Mv1aFOa8As8duP6fcV3+zf8ev8Skbuvv/3Dj/s3jlAQLKrBIH7lX0tiWBTT2uOKTUl8l/LB08J+tpmrTujZVyNaOFZArC86AqIYaC035pZKdRtau5Yxbn5U+fH6UHY6o73tsdn4AvA4SwP7WcOEqX24gMgeWkkDaZ4XBsp/kF32A/Pfqs0jSm644ZMjxzRF6tggwQQL3o8wTkQOFy5GB9YEq6FmQ4MOh+2tmoW+mPPd3yrTIPte2LJSJSFcaRSf9J1JZwGaWppD4AloqD1L1hJnCzGikEPQ8gy46JcXXEjwcW2xEG+F5E7jPuE1k0+qOAuUt9FJ1rIyk6dhLr6p3rOm3yWOEBBDQAwB0VryEjy+ctJR26hPGcDSuEfZeQreItjHCojXrwO2vg9481W+NfgAVW+Dtni4gHgd4HzF8VHTOqOAGAgEAoFAIBAIBAKBD0IIiCEgBgIM17fLgdL224/jBMSbfmgpWcIXBbFhOQht8XBXRR40cJQvFBBtM9fvSvHsqxEtNAXEbOO+1iyiYXcEu3y/1PlO309yPsaA4wIDx0fYiWh8jEWzQIElP2ORHGMpIhpADanJgJeuY+f2fp6pKwZMh74S7TOczNfgGU7eL1v77wILTiX2XDCvcvwxfvcw4IC72yE3tohjTxySASWEEBA78Q4OP52A6LLEPNHD6kWx7PD5Hk8zRd+hZgGDqbQ5+tgsrjqYLWSxtwVez5sS2VIQ2qKY1m5XN1H0z/a5o6Y1ICD+8RdHQDQn2UIIiM9yvtN3CIhjiGh8hIC4F58cUQiIj/Z+nqkrBnyAJLboIwTEXcTbNTgExBf63cOAcwpmEYd2yRlQQggBsRPv4PAQEJew7DAExAWHmgUMVz3s/oFc8fnb/bjKWc4b7jZfReiiIDYsB6EtimntdtX6ePBR00IB0TZz/boWz74a0UIIiM9yvtN3CIhjiGh8hIC4F58cUQiIj/Z+nqkrBnyAJLboIwTEXcTbNTgExBf63cOAcwpmEYd2yRlQQggBsRPv4PAQEJew7DAExAWHmgUcP5c31DGl7U/tIWO4Gu581re+U+5n8a6+5SC0RTmtva5aIuBR0xJ/K9E0c/Xl2pcnWggB8VnOd/oOAXEMEY2PEBD34pMjCgHx0d7PM3XFgA+QxBZ9hIC4i3i7BoeA+EK/exhwTsEs4tAuOQNKCCEgduIdHB4C4hKWHYaAuOBQs4Cjik539av1Cd0Z3Oy4huQXtghlbT0IbVFOa6erZv+jpiUERNPM1ZdrX55oOQsB8VnOd/oOAXEMEY2PEBD34pMjCgHx0d7PM3XFgA+QxBZ9hIC4i3i7BoeA+EK/exhwTsEs4tAuOQNKCCEgduIdHB4C4hKWHYaAuOBQs4CjfrHHXf26vntu+NOvPsyvX1afK65/E1B8u8hwEOqzutqinNaqK9ZffIL5+GkJAdE0c/Xl2pcnWs5CQHyW852+Q0AcQ0TjIwTEvfjkiEJAfLT380xdMeADJLFFHyEg7iLersEhIL7Q7x4GnFMwizi0S86AEkIIiJ14B4eHgLiEZYchIC441CzgqKrTXf065kuYna9f/hnfFkiftBXS2ngQP+Nb7QyLclrLrvz+h09LCIimmasv17480XIWAuKznO/0HQLiGCIaHyEg7sUnRxQC4qO9n2fqigEfIIkt+ggBcRfxdg0OAfGFfvcw4JyCWcShXXIGlBBCQOzEOzg8BMQlLDsMAXHBoWYB4Oft/XI39euqPO3/E4iOfnj7ZO2tmVS9rVcJ4oaJIH5FR4ZFNa1VV+RQ9j98WkJANM3cfLn2xYmWsxAQn+V8p+8QEMcQ0fgIAXEvPjmiEBAf7f08U1cM+ABJbNFHCIi7iLdrcAiIL/S7hwHnFMwiDu2SM6CEEAJiJ97B4SEgLmHZYQiICw41CwC/bV92clWkPOVvEr86Vm4Sl6nqlSCumAmiWqRXwqKa1qorGiD/jOHh05IComXm5su1L060nIWA+CznO32HgDiGiMZHCIh78ckRhYD4aO/nmbpiwAdIYos+QkDcRbxdg0NAfKHfPQw4p2AWcWiXnAElhBAQO/EODg8BcQnLDkNAXHCoWQC4f93JH/7yyy+//PV6tP8NiFf9y/5bf1dl8XqqfIVwlclKEJdN+xoOoli8wrSoprXs6gr7zxgePS0pIFpmbgKia1+caDkLAfFZznf6DgFxDBGNjxAQ9+KTIwoB8dHezzN1xYAPkMQWfYSAuIt4uwaHgPhCv3sYcE7BLOLQLjkDSgghIHbiHRweAuISlh2GgLjgULMAcZWrGHb/BcS7eCXwR/MUaXGrQSxY3DPf61j9LsKjpyUFRMvM/ePSg5NsOWsKiIFAIBAIBAKBQCAQCAQCgUB589qG/R9gFqLWHfxztobQth7EgsUd81XS3kOmpb3MzwVOtJyFgBgIBAKBQCAQCAQCgUAgEAgEXISAGAgEAoFAIBAIBAKBQCAQCARchIAYCAQCgUAgEAgEAoFAIBAIBFyEgBgIBAKBQCAQCAQCgUAgEAgEXISAGAgEAoFAIBAIBAKBQCAQCARchIAYCAQCgUAgEAgEAoFAIBAIBFyEgBgIBAKBQCAQCAQCgUAgEAgEXISAGAgEAoFAIBAIBAKBQCAQCARchIAYCAQCgUAgEAgEAoFAIBAIBFyEgBgIBAKBQCAQCAQCgUAgEAgEXISAGAgEAoFAIBAIBAKBQCAQCARchIAYCAQCgUAgEAgEAoFAIBAIBFyEgBgIBAKBQCAQCAQCgUAgEAgEXISAGAgEAoFAIBAIBAKBQCAQCARchIAYCAQCgUAgEAgEAoFAIBAIBFyEgBgIBAKBQCAQCAQCgUAgEAgEXISAGAgEAoFAIBAIBAKBQCAQCARchIAYCAQCgUAgEAgEAoFAIBAIBFyEgBgIBAKBQCAQCAQCgUAgEAgEXISAGAgEAoFAIBAIBAKBQCAQCARchIAYCAQCgUAgEAgEAoFAIBAIBP7/duxAAAAAAECQv/UEGxRGSyACAAAAAEsgAgAAAABLIAIAAAAASyACAAAAAEsgAgAAAABLIAIAAAAASyACAAAAACvpBVOOe3rMAAAAAABJRU5ErkJggg==" title alt width="2592" /></p>
+<p>From this chart, I can see very good correlation among borrower rate, borrower APR, lender yield, effective yield and estimated return. This is obvious because these rates are calculated from each other. For example, lender’s yield is equal borrower rate less servicing fee. However, what astounds me the most is that these variables have very weak correlation with the investor count. For instance, correlation between lender’s yield and investors is only -0.249. This is beyond my expectation.</p>
+<p>When continuous variables show little effect on investor number, I’ll try to graph the investor number against nominal variables such as prosper rating, income range, although relationship between nominal and continuous variables can be difficult to quantify.</p>
+<p><strong>Prosper Rating on Investor counts</strong>:</p>
+<p><img src="data:image/png;base64,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" 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+<pre><code>## dt$ProsperRating..Alpha.: HR
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    9.00   31.00   35.28   54.00  237.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: E
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    2.00   25.00   35.01   55.00  279.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: D
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    4.00   35.00   56.23   87.00  511.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: C
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    1.00    9.00   51.09   78.00 1024.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: B
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##     1.0     1.0    19.0    69.8   112.0   856.0 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: A
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    1.00   51.00   97.53  162.00 1189.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: AA
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00   62.75  150.00  178.40  274.00 1035.00</code></pre>
+<p>The better Prosper Rating, the more investors. For example: for rating AA, 50% of Investor count range from 63 to 274 with mean 150. For rating HR, 50% of Investor count range from 9 to 54 with mean 35 investors.</p>
+<p><strong>Income Range on Investor counts</strong></p>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAMAAADDuCPrAAABBVBMVEUAAAAAADoAAGYAOpAAZrYzMzM6AAA6kJA6kLY6kNtmAABmtv9/f39/f5V/f6t/lZV/lat/lcF/q6t/q8F/q9aQOgCQZgCQ29uQ2/+Vf3+Vf6uVlZWVlcGVq9aVwdaVweurf3+rf5Wrf6urlX+rlZWrlcGrq5WrwcGrweur1uur1v+2ZgC225C2///BlX/BlZXBwevB1sHB1v/B69bB6//Wq3/Wq5XWq6vWwZXW1tbW1v/W68HW6+vW/9bW///bkDrb/9vb///l5eXrwZXr1tbr68Hr6+vr6//r/+vr///y8vL/tmb/1qv/1sH/1tb/25D/68H/6+v//7b//9b//9v//+v////z+jJ0AAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO29bYPbWHpYWYm7Z3c81e3Mpmc3ituRkmyySWsjO/GUM85LK66KZ7Yt7k6NZdX//ylLgAQJFsmLB+C9uAfkOV+kUqufOkABRyAIgHcvIiIyibvaAiIiS8WAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMxICKiEzEgIqITMSAiohMJENAn+7XfNd9tUp8JSJyTVwc0M/v7lu++XX75cPmq29/PPGViMhVcWlAv3xo0/n85v6XP720R6Nvz30lInJdXBrQ1fbQc13JH9rD0bfnvhIRuTIuDejD9uhyfST6XZPT3Wv3o69ERK6MywP6Xe83XU7XL97X7Tz8SkTkysh1GVP7cn1zGNrQvLI//CrT9xERwZAroG0j18l8u/ny+U0b0N5X27933yPTtxYRqUOmgK4PQNcv17t3jTbJPPxq+xeLBvRuT/bZU6D58ITWfP11bYND9ElD86kslGdHWreyOcvZT+b9D4dfnfi/HnPT60P22VOg+fCE1nz9dW2DQ/RJQ/MpJRRMX5aArlPZHmIGjkD7ZF9mWh9oPjyhR94OqU8ams8VBLS5Gak9wgycA+2Tf6FhecD1Cif0yNsh9UlD81l+QNcv0Ld97L/v/u2Ph1+d+B8LLDWrDrhe4YQeeTukPmloPosP6L6fB9eBrn9z+NUsAX1ExQHXK5zQI2+H1CcNzWfpAV33c394Oe5OpAJLzaoDrlc4oUfeDqlPGprPwgO6ff99/9WIe+HzLzQsD7he4YQeeTukPmloPgsP6NPhTUajnsaUfZlpfaD58IQeeTukPmloPssOaPc00N1zk8c8DzT7MtP6QPPhCT3ydkh90tB8lh3Q9dHlYUDHPJE++zLT+kDz4Qk98nZIfdLQfJYd0IvIvsy0PtB8eEKPvB1SnzQ0HwOaD1ofaD48oUfeDqlPGpqPAc0HrQ80H57QI2+H1CcNzceA5oPWB5oPT+iRt0Pqk4bmY0DzQesDzYcn9MjbIfVJQ/MxoPmg9YHmwxN65O2Q+qSh+RjQfND6QPPB3arVQNsh9UlD8zGg+aAFi+ZjQAPok4bmY0DzQQsWzYcn9MjbIfVJQ/MxoBmB5QHXK5zQI2+H1CcNzceA5oRVB1yvcEKPvB1SnzQ0HwOaFVQccL3CCT3ydkh90tB8DGju5S4ydhK4XuGEHnk7pD5paD4GNPdyFxk7CVyvcEKPvB1SnzQ0HwOae7mLjJ0Erlc4oUfeDqlPGpqPAc0KKg64XuGEHnk7pD5paD4GNCesOuB6hRN65O2Q+qSh+RjQjMDygOsVTuiRt0Pqk4bmY0DzQesDzYcn9MjbIfVJQ/MxoPmg9YHmwxN65O2Q+qSh+RjQfND6QPPhCT3ydkh90tB8DGg+aH2g+fCEHnk7pD5paD4GNB+0PtB8eEKPvB1SnzQ0HwOaEVgecL3CCT3ydkh90tB8DGhGYHnA9Qon9MjbIfVJQ/MxoPmg9YHmwxN65O2Q+qSh+RjQfND6QPPhCT3ydkh90tB8DGg+aH2g+fCEHnk7pD5paD4GNB+0PtB8eEKPvB1SnzQ0HwOaD1ofaD48oUfeDqlPGpqPAc0ILQ9YH4wRb4fUJw3Nx4DmhFaHu7uvvwb5GNBh9ElD8zGgWWHFYe3TBLS2xA4DOow+aWg+BjT3chcZOxnU9mZAh9EnDc3HgOZe7iJjJ4Pa3gzoMPqkofkY0NzLXWTsZFDbmwEdRp80NB8DmhVWHB5h25sBHUafNDQfA5oTWh1g25sBHUafNDQfA5oRXh5Y25sBHUafNDQfA5oP+zCAK2gYfdLQfAxoPuzDAK6gYfRJQ/MxoPmwDwO4gobRJw3Nx4Dmwz4M4AoaRp80NB8Dmg/7MIAraBh90tB8DGhGeHlgbW8GdBh90tB8DGhGeHlgbW8GdBh90tB8DGg+7MMArqBh9ElD8zGg+bAPA7iChtEnDc3HgObDPgzgChpGnzQ0HwOaD/swgCtoGH3S0HwMaD7swwCuoGH0SUPzMaD5sA8DuIKG0ScNzceA5sM+DOAKGkafNDQfA5oP+zCAK2gYfdLQfAxoPuzDAK6gYfRJQ/MxoPmwD0PcbT+onrN+YCtInyFoPgY0HwZ0kG1Aa2v0gK0gfQag+RjQfBjQYdqA1pboQ1tB+qSh+RjQjPD6eTPb22T0SaPPAAY0I7h+3sz2Nhl90ugzgAHNh0egw9CE9EmjzwAGNBueAw1AE9InjT4DGNBsGNAANCF90ugzgAHNhgENQBPSJ40+AxjQbBjQADQhfdLoM4ABzYYBDUAT0ieNPgMY0GwY0AA0IX3S6DOAAc2GAQ1AE9InjT4DGNBsGNAANCF90ugzgAHNB6+fN7O9TUafNPoMYEAzguvnzWxvk9EnjT4DGNCc0Pp5M9vbZPRJo88ABjQnBnQImpA+afQZwIBmxJfwg9CE9EmjzwAGNB++iTQMTUifNPoMYECz4WVMAWhC+qTRZwADmg0DGoAmpE8afQa43YD+XW56Ac0+eypff13b4BU0IX3S6DNAIaFgxDwCLcyt/IM9GX3S6DPA7R6BZl9mAxqAJqRPGn0GMKDZMKABaEL6pNFnAAOaDQMagCakTxp9BjCg2TCgAWhC+qTRZwADmg9eP29me5uMPmkK+nw9I8UWwoBmxIAOQxPSJ005nzn7WfSfgSJjgxG7qoD6Ej4ATUifNCUDOt++bkALkH2ZDWgAmpA+aQzo4GIUGRtcMANaGNr+iBPSJ40BHVyMImODC2ZAC0PbH3FC+qQxoIOLUWRscMEMaGFo+yNOSJ80BnRwMYqMDS7YVQXUd+ED0IT0SWNABxejyNjgghnQwtD2R5yQPmkM6OBiFBkbXLCrCqgv4QPQhPRJY0AHF6PI2OCCGdDC0PZHnJA+aQzo4GIUGRtcMANaGNr+iBPSJ40BHVyMImODC2ZAC0PbH3FC+qQxoIOLUWRscMEMaGFo+yNOSJ80BnRwMYqMDS6YAS0MbX/ECemTxoAOLkaRscEFM6CFoe2POCF90hjQwcUoMja4YAa0MLT9ESekTxoDOrgYRcYGF8yAFoa2P+KE9EljQAcXo8jY4IIZ0MLQ9keckD5pDOjgYhQZG1wwA1oY2v6IE9InjQEdXIwiY4MLZkALQ9sfcUL6pDGgg4tRZGxwwQxoYWj7I05InzQGdHAxiowNLpgBLQxtf8QJ6ZPGgA4uRpGxwQUzoIWh7Y84IX3SGNDBxSgyNrhgBrQwtP0RJ6RPGgM6uBhFxgYX7KoC6gOVA9CE9EljQAcXo8jY4IIZ0MLQ9keckD5pDOjgYhQZG1ywqwqoL+ED0IT0SWNABxejyNjgghnQwtD2R5yQPmkM6OBiFBkbXDADWhja/ogT0ieNAR1cjCJjgwtmQAtD2x9xQvqkMaCDi1FkbHDBDGhhaPsjTkifNAZ0cDGKjA0u2FUF1HfhA9CE9EljQAcXo8jY4IJdV0Afcf3E7Y84IX3SGNDBxSgyNrhgVxbQR1o/cfsjTkifNAZ0cDGKjA0u2LUF9LHQ2MnQ9keckD5pDOjgYhQZG1wwA1oY2v6IE9InjQEdXIwiY4MLZkALQ9sfcUL6pDGgg4tRZGxwwQxoYWj7I05InzQGdHAxiowNLpgBLQxtf8QJ6ZPGgA4uRpGxwQUzoIWh7Y84IX3SGNDBxSgyNrhgBrQwtP0RJ6RPGgM6uBhFxgYXzIAWhrY/4oT0SWNABxejyNjggl1dQG9n+58ITUifNAZ0cDGKjA0umAEtDM0HJ6RPGgM6uBhFxgYXzIAWhuaDE9InjQEdXIwiY4MLZkALQ/PBCemTxoAOLkaRscEFM6CFofnghPRJY0AHF6PI2OCCGdDC0HxwQvqkMaCDi1FkbHDBDGhhaD44IX3SGNDBxSgyNrhgBrQwNB+ckD5pDOjgYhQZG1wwA1oYmg9OSJ80BnRwMYqMDS6YAS0MzQcnpE8aAzq4GEXGBhfMgBaG5oMT0ieNAR1cjCJjgwtmQAtD88EJ6ZPGgA4uRpGxwQUzoIWh+eCE9EljQAcXo8jY4IIZ0MLQfHBC+qQxoIOLUWRscMEMaGFoPjghfdIY0MHFKDI2uGAGtDA0H5yQPmkM6OBiFBkbXDADWhiaD05InzQGdHAxiowNLpgBLQzNByekTxoDOrgYRcYGF8yAFobmgxPSJ40BHVyMImODC2ZAC0PzwQnpk8aADi5GkbHBBTOghaH54IT0SWNABxejyNjgghnQwtB8cEL6pDGgg4tRZGxwwQxoYWg+OCF90hjQwcUoMja4YAa0MDQfnJA+aQzo4GIUGRtcMANaGJoPTkifNAZ0cDGKjA0umAEtDM0HJ6RPGgM6uBhFxgYXzIAWhuaDE9InjQEdXIwiY4MLZkALQ/PBCemT5pYC+vWMDLkEF8yAFobmgxPSJ80NBXTOfg4KBRfMgBaG5oMT0ifNTQUUJBSckyegq/u3m998+XC/4Zc/bf/Dmu/O/F85NoITP4QiYydD88EJ6ZPGgNYRCs7JEtDP77qArn/XD+jD5otvfzz5v+XYCE78EIqMnQzNByekTxoDWkcoOCdHQJtqbgP6/GZ76Nny1P7585v7/h/uybERnPghFBk7GZoPTkifNAa0jlBwToaArgO5C+iq/3q9OzBd/4UfTv2POTaCEz+EImMnQ/PBCemTxoDWEQrOuTyg65fp/+RfdwF96n7TsOpeuz+cPg2aYyM48UMoMnYyNB+ckD5pDGgdoeCciwO6Prx8++VD182Hb369/08P3Uv3p9NnQXNsBCd+CEXGTobmgxPSJ40BrSMUnHN5QL//6WUX0M/vvv3v77r33dd/uj3wXN33u7ojx0Zw4odQZOxkaD44IX3SGNA6QsE5Wd6F3wW0PR3ave++Py59frML6H2PHN/6iDl/CBFoPjghfdKU85m3V7n+UiZyfa+8AV1tr19qX7zvL24yoCBoQvqkMaBFYAa0O9m5/oMfDgJ68m34HC9DTrwMKDJ2MjQfnJA+aXwJX0coOCdvQHc077ufPALtk2MjOPFDKDJ2MjQfnJA+aQxoHaHgnEIBfVq/hj95DrRPjo3gxA+hyNjJ0HxwQvqkMaB1hIJzygZ09y68lzFhoAnpk8aA1hEKzikY0P51oCfv5cyxEZz4IRQZOxmaD05InzQGtI5QcE7WgPYuqG9+451IjzwfnJA+aQxoHaHgnNzvwm8ONT+/a056ei/8I88HJ6RPGgNaRyg4J/uF9N+97O9B8mlMPB+ckD5pDGgdoeCczOdAV9tr5Lcv2X0eKM4HJ6RPGgNaRyg4J/ebSJtH0u9esftEepoPTkifNAa0jlBwjp+JVBiaD05InzQGtI5QcI4BLQzNByekTxoDWkcoOMeAFobmgxPSJ40BrSMUnGNAC0PzwQnpk8aA1hEKzjGghaH54IT0SWNA6wgF5xjQwtB8cEL6pDGgdYSCcwxoYWg+OCF90hjQOkLBOQa0MDQfnJA+aQxoHaHgHANaGJoPTkifNAa0jlBwjgEtDM0HJ6RPGgNaRyg4x4AWhuaDE9InjQGtIxScY0ALQ/PBCemTxoDWEQrOMaCFofnghPRJY0DrCAXnGNDC0HxwQvqkMaB1hIJzDGhhaD44IX3SGNA6QsE5BrQwNB+ckD5pDGgdoeAcA1oYmg9OSJ80BrSOUHCOAS0MzQcnpE8aA1pHKDjHgBaG5oMT0ieNAa0jFJxjQAtD88EJ6ZPGgNYRCs4xoIWh+eCE9EljQOsIBecY0MLQfHBC+qQxoHWEgnMMaGFoPjghfdIY0DpCwTkGtDA0H5yQPmkMaB2h4BwDWhiaD05InzQGtI5QcI4BLQzNByekTxoDWkcoOMeAFobmgxPSJ40BrSMUnGNAC0PzwQnpk8aA1hEKzjGghaH54IT0SWNA6wgF5xjQwtB8cEL6pDGgdYSCcwxoYWg+OCF90hjQOkLBOQa0MDQfnJA+aQxoHaHgHANaGJoPTkifNAa0jlBwjgEtDM0HJ6RPGgNaRyg4x4AWhuaDE7ohn69nJKQz376+PKHgHANaGJoPTuh2fObsZ2QpUL3CCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxjQAtD88EJ3Y4Pqg9AH5ZQcI4BLQzNByd0Oz6oPgB9WELBOQa0MDQfnNDt+KD6APRhCQXnGNDC0HxwQrfjg+oD0IclFJxTM6B/V4Kvvy4ydjI0H5zQ7fjM24fl+bCEgnM8Ai0MzQcndDs+qAMsoA9LKDjHgBaG5oMTuh0fVB+APiyh4BwDWhiaD07odnxQfQD6sISCcwxoYWg+OKHb8UH1AejDEgrOMaCFofnghG7HB9UHoA9LKDjHgBaG5oMTuh0fVB+APiyh4BwDWhiaD07odnxQfQD6sISCcwxoYWg+OKHb8UH1AejDEgrOMaCFofnghG7HB9UHoA9LKDjHgBaG5oMTuh0fVB+APiyh4BwDWhiaD07odnxQfQD6sISCcwxoYWg+OKHb8UH1AejDEgrOMaCFofnghG7HB9UHoA9LKDjHgBaG5oMTuh0fVB+APiyh4BwDWhiaD07odnxQfQD6sISCcwxoYWg+OKHb8UH1AejDEgrOMaCFofnghG7HB9UHoA9LKDjHgBaG5oMTuh0fVB+APiyh4BwDWhiaD07odnxQfQD6sISCcwxoYWg+OKGCPl/PSEhnvn3LgF4qFJxjQAtD88EJlTziYxUU1QegD0soOMeAFobmgxPyJbM+RKHgnHEB/f3P7u7+6G/G254msErHczt9mAhNyIDqQxQKzgkG9O//uOlm08+7u3/0zyZbHxJYpeO5nT5MhCZkQPUhCgXnxAL66e7uH/+Hl3/41V3L+rdZCKzS8dxOHyZCEzKg+hCFgnNCAW2OPNfHnetf1u38eHf38wvEewRW6Xhupw8ToQkZUH2IQsE5oYCum/nV5pcmne/bLzIQWKXjuZ0+TIQmZED1IQoF50QCun7p3pwBXf/Snv78lOs1fGCVjud2+jARmpAB1YcoFJwTCejf//HdLza/tOU0oGOg+eCEDKg+RKHgnBEB/bR5IW9AR0HzwQkZUH2IQsE5IwL6/q795eVjrktBA6t0PLfTh4nQhAyoPkSh4JzgOdCf70+BrnPqm0hxaD44IQOqD1EoOCf0Lvz7Jp0fNzchNZc0/eIC8R6BVTqe2+nDRGhCBlQfolBwTvg60IZftK/js93MGVil47mdPkyEJmRA9SEKBefE7kT62PazCef6d7luRDKgVaAJGVB9iELBOcF74T/d7d6Cz/T6/cWA1oEmZED1IQoF5/g4u8LQfHBCBlQfolBwTuxNpGyv2g8IrNLx3E4fJkITMqD6EIWCc0bcypmdwCodz+30YSI0IQOqD1EoOCd4IX2mKz8PCazS8dxOHyZCEzKg+hCFgnM8Ai0MzQcnZED1IQoF54TOgX7Kdu38AYFVOp7b6cNEaEIGVB+iUHBO7F343/+sxDFoYJWO53b6MBGakAHVhygUnBM8B3qIT2OKQ/PBCRlQfYhCwTkGtDA0H5yQAdWHKBScY0ALQ/PBCRlQfYhCwTneiVQYmg9OyIDqQxQKzjGghaH54IQMqD5EoeAcA1oYmg9OyIDqQxQKzgkHdHsiNOdd8YFVOp7b6cNEaEIGVB+iUHBOMKC995HyJTSwSsdzO32YCE3IgOpDFArOiQX04H349pORchBYpeO5nT5MhCZkQPUhCgXnhAL6D7+6627m/ORHeoyD5oMTMqD6EIWCc6L3wu+i2cTUD5WLQ/PBCRlQfYhCwTnBT+Xsnfj0Y41HQfPBCRlQfYhCwTnxz4Xf8THXa/jAKh3P7fRhIjQhA6oPUSg4J3grZ/9F+ydv5RwBzQcnZED1IQoF5xjQwtB8cEIGVB+iUHCOL+ELQ/PBCRlQfYhCwTm+iVQYmg9OyIDqQxQKzvEypsLQfHBCBlQfolBwjhfSF4bmgxMyoPoQhYJzJtzKme1m+MAqHc/t9GEiNCEDqg9RKDjHh4kUhuaDEzKg+hCFgnN8nF1haD44IQOqD1EoOMcHKheG5oMTMqD6EIWCcwxoYWg+OCEDqg9RKDgndifSwSNA33sh/QhoPjghA6oPUSg4Z1JAvZUzDs0HJ2RA9SEKBeeMD+jf/7EBHQHNBydkQPUhCgXnDAT0490pfAkfh+aDEzKg+hCFgnMGAnpwBf2On6f/pyiBVTqe2+nDRGhCBlQfolBwztBL+E/l+mlAq0ATMqD6EIWCcya8iZSNwCodz+30YSI0IQOqD1EoOMeAFobmgxMyoPoQhYJzvJC+MDQfnJAB1YcoFJwzLqC//1m+h9kZ0DrQhAyoPkSh4Jzw05iabjb9vLvL9no+sErHczt9mAhNyIDqQxQKzokF9NNdc/F8+1zlk09kWt2/3f92zXenv3pFYJWO53b6MBGakAHVhygUnBMKaHPkuT7uXP+ybufH4+uYPr/bBfThvuXbH0989ZrAKh3P7fRhIjQhA6oPUSg4JxTQdTO/2vzSpPP96w+VW/ezC+hT+7vnN/e//OnoqyMCq3Q8t9OHidCEDKg+RKHgnODHGjdnQNe/tKc/X38u/DqQXUC7Q9H1H/3w+qtjAqt0PLfTh4nQhAyoPkSh4JzYdaDtJ8p1TxF5FdD1y/R/8q+3AV3tX7t/9/qrYwKrdDy304eJ0IQMqD5EoeCcEQH9tHkh/yqg68PLt18+bAP60L1Yf2raefjVMYFVOp7b6cNEaEIGVB+iUHDOiIC+33608ceDS0Gfv//ppQvo+tftoebq/ptfH351Ym5glY7ndvowEZqQAdWHKBScEzwH+vP9KdB1Tl+9idQP6PbNpOc3bUB7X23/6n2PoOI45vwhRKD5lBT6ekbqLumk76VPjr+UiVzfK/Qu/PsmnR83NyE1lzT94tV/71K5v5ypSebhV9u/akBrU05ozn4uMRD65PhLmZg1oJs7kNpwvj/1POVTAb3/4fCrE2MDB/XjuZ1XqBPxJbM+TB+WUHBO7E6kj7sH0a9/d3wj0ogj0D6BVToeWrBoPgZUH6gPSyg4J3gvfPNc5e1b8K9fv7+MOgfaJ7BKx0MLFs3HgOoD9WEJBedkeZzdqXfhv/3x8KsT/1tglY6HFiyajwHVB+rDEgrOyRrQ/pWf698cfnVMYJWOhxYsmo8B1QfqwxIKzgkHtPl4uea9+FOPA90F1DuRjqD5GFB9oD4soeCc8PNAt08C/Xh8EVMvoN4LfwTNx4DqA/VhCQXnxAK6/XTjdUDf350o6P7tIp/G9BqajwHVB+rDEgrOCQW0eZLyH/3N73/W3Im0LujRdUz7gPo80NfQfAyoPlAfllBwTiign9oHgW4CeuqByr2A+kT6V9B8DKg+UB+WUHBO8FbOzU2cbUC3TwfNQGCVjocWLJqPAdUH6sMSCs6JP0ykC+j6EPT4XqRJBFbpeGjBovkYUH2gPiyh4JwRj7PrAvr6ifSTCazS8dCCRfMxoPpAfVhCwTkGtDA0HwOqD9SHJRScM+El/HvPgY6A5mNA9YH6sISCc4JvIjXHnNuAnnig8kQCq3Q8tGDRfAyoPlAfllBwTvQypq+6gDbXhJ54INMUAqt0PLRg0XwMqD5QH5ZQcE7sTqT26vk2oB9PPVB5IoFVOh5asGg+BlQfqA9LKDhn1K2cGzK9hWRA62BA9WH6sISCc4IPE2leuOfupwGtggHVh+nDEgrOCT/ObpvQfPk0oHUwoPowfVhCwTlZHqg8kcAqHQ8tWDQfA6oP1IclFJxjQAtD8zGg+kB9WELBObE7kV4/fikPgVU6HlqwaD4GVB+oD0soOCd4K2e2az/7BFbpeGjBovkYUH2gPiyh4JxwQNvn0eclsErHQwsWzceA6gP1YQkF58TOgf7+Z7kvYWoIrNLx0IJF8zGg+kB9WELBOeE3kT5tLwPNdRvSiwGtgwHVh+nDEgrOGfMu/MdtQzM9S8SAVsGA6sP0YQkF54y8jOljzlfygVU6HlqwaD4GVB+oD0soOGf8daDr1/IGNA7Nx4DqA/VhCQXnjAzoeyQCr6cAACAASURBVI9AR0LzMaD6QH1YQsE5YwL6fnsONNdl9YFVOh5asGg+BlQfqA9LKDgnHNDc7yC9GNA6GFB9mD4soeCcWEA/5r+G6cWA1sGA6sP0YQkF54y4EynvVfQvBrQOBlQfpg9LKDgnGtDs93G+GNA6GFB9mD4soeCcWEALPEnkxYDWwYDqw/RhCQXn+DzQwtB8DKg+UB+WUHCOAS0MzceA6gP1YQkF5wQD2j2OKetDmQKrdDwFg/X1nBRcinKTs2wWIZYYCH2WJBScM+4yppsO6Kz9LLkY5SZn2SxCLDEQ+ixJKDgnFNBPdwZ03h9vbIObuBjlJrPWjz7L8mEJBeeEAvr+Lv9FoC8GNIUBvXz96LMsH5ZQcE4koP/wqyL9NKAJDOjl60efZfmwhIJzghfSF/lYzsAqHc919MGAZlg/+izLhyUUnGNAR0wusRLOYEAvXz/6LMuHJRScE3wJb0ANaGAya/3osywfllBwTuhNpI+ZH8O0JbBKx3MdfTCgGdaPPsvyYQkF54QCWug1fGCVjuc6+mBAM6wffZblwxIKzgl/LnyBY9DAKh3PdfTBgGZYP/osy4clFJwz4nmgXkifZaljGNDL148+y/JhCQXnGNARk7MsdQwDevn60WdZPiyh4BwDOmJylqWOYUAvXz/6LMuHJRSc4+PsRkyecd0Y0MvXjz7L8mEJBecY0BGTZ1w3BvTy9aPPsnxYQsE5BnTE5BnXjQG9fP3osywfllBwjgEdMXnGdWNAL18/+izLhyUUnGNAR0yecd0Y0MvXjz7L8mEJBeekA3r0/rvvws+EAb18/eizLB+WUHCOAR0xOctSxzCgl68ffZblwxIKzjGgIyZnWeoYBvTy9aPPsnxYQsE5ngMdMXnGdWNAL18/+izLhyUUnGNAR0yecd0Y0MvXjz7L8mEJBecY0BGTZ1w3BvTy9aPPsnxYQsE5BnTE5BnXTXCDQ31MPWr712dxPiyh4BwDOmLyjOsmtgOwCora/vVZnA9LKDjHgI6YPOO6WeIOoI8+l/iwhIJzDOiIyTOumyXuAProc4kPSyg4x4COmDzjulniDqCPPpf4sISCcwzoiMkzrpsl7gD66HOJD0soOMeAjpg847pZ4g6gjz6X+LCEgnMM6IjJM66bJe4A+uhziQ9LKDjHgI6YPOO6WeIOoI8+l/iwhIJzDOiIyTOumyXuAProc4kPSyg4x4COmDzjulniDqCPPpf4sISCcwzoiMkzrpsl7gD66HOJD0soOMeAjpg847pZ4g6gjz6X+LCEgnMM6IjJM66bJe4A+uhziQ9LKDjHgI6YPOO6WeIOoI8+l/iwhIJzDOiIyTOumyXuAProc4kPSyg4x4COmDzjulniDqCPPpf4sISCcwzoiMkzrpsl7gD66HOJzyPqAbfBBSMHFLQ2597eFrkD6KPPJT4GdCRLWp0zb2+L3AH00ecSH9YeH1wwdEDnU6FtbzghffQp7WNAR7Kwn68B1Uefgj4GdCR/l2ben++AzMw+OCF99CntwxIKzvEItIX2DzZOSB99SvuwhIJzDGgLbXvDCemjT2kfllBwjgFtoW1vOCF99CntwxIKzjGgLbTtDSekjz6lfVhCwTkGtIW2veGE9NGntA9LKDjHgLbQtjeckD76lPZhCQXnGNAW2vaGE9JHn9I+LKHgHAPaQtvecEL66FPahyUUnGNAW2jbG05IH31K+7CEgnMMaAtte8MJ6aNPaR+WUHCOAW2hbW84IX30Ke3DEgrOMaAttO0NJ6SPPqV9WELBOQa0hba94YT00ae0D0soOMeAttC2N5yQPvqU9mEJBecY0Bba9oYT0kef0j4soeAcA9pC295wQvroU9qHJRScY0BbaNsbTkgffUr7sISCcwxoC217wwnpo09pH5ZQcI4BbaFtbzghffQp7cMSCs4xoC207Q0npI8+pX1YQsE5BrSFtr3hhPTRp7QPSyg4x4C20LY3nJA++pT2YQkF5xjQFtr2hhPSR5/SPiyh4BwD2kLb3nBC+uhT2oclFJxjQFto2xtOSB99SvuwhIJzDGgLbXvDCemjT2kfllBwjgFtoW1vOCF99CntwxIKzjGgLbTtDSekjz6lfVhCwTkGtIW2veGE9NGntA9LKDjHgLbQtjeckD76lPZhCQXnGNAW2vaGE9JHn9I+LKHgHAPaQtvecEL66FPahyUUnGNAW2jbG05IH31K+7CEgnMMaAtte8MJ6aNPaR+WUHCOAW2hbW84IX30Ke3DEgrOMaAttO0NJ6SPPqV9WELBOQa0hba94YT00ae0D0soOMeAttC2N5yQPvqU9mEJBecY0Bba9oYT0kef0j4soeAcA9pC295wQvroU9qHJRScY0BbaNsbTkgffUr7sISCcwxoC217wwnpo09pH5ZQcI4BbaFtbzghffQp7cMSCs4xoC207Q0npI8+pX1YQsE5BrSFtr3hhPTRp7QPSyg4x4C20LY3nJA++pT2YQkF5xjQFtr2hhPSR5/SPiyh4BwD2kLb3nBC+uhT2oclFJxjQFto2xtOSB99SvuwhIJzDGgLbXvDCemjT2kfllBwjgFtoW1vOCF99CntwxIKzjGgLbTtDSekjz6lfVhCwTkGtIW2veGE9NGntA9LKDjHgLbQtjeckD76lPZhCQXnGNAW2vaGE9JHn9I+LKHgHAPaQtvecEL66FPahyUUnGNAW2jbG05IH31K+7CEgnMMaAtte8MJ6aNPaR+WUHCOAW2hbW84IX30Ke3DEgrOMaAttO0NJ6SPPqV9WELBOQa0hba94YT00ae0D0soOMeAttC2N5yQPvqU9mEJBecY0Bba9oYT0kef0j4soeAcA9pC295wQvroU9qHJRScY0BbaNsbTkgffUr7sISCcwxoC217wwnpo09pH5ZQcI4BbaFtbzghffQp7cMSCs4xoC207Q0npI8+pX1YQsE5BrSFtr3hhPTRp7QPSyg4x4C20LY3nJA++pT2YQkF5xjQFtr2hhPSR5/SPiyh4BwD2kLb3nBC+uhT2oclFJxjQFto2xtOSB99SvuwhIJzDGgLbXvDCemjT2kfllBwjgFtoW1vOCF99CntwxIKzjGgLbTtDSekjz6lfVhCwTkGtIW2veGE9NGntA9LKDjHgLbQtjeckD76lPZhCQXnGNAW2vaGE9JHn9I+LKHgnMwB/fLhfsMvf2q/XjW//+7MX17S6pzZByekjz6lfVhCwTmZA/r53UFAHzZffPvjyb+8pNU5sw9OSB99SvuwhIJzMgf0+c320LPl6f7+bfNn9/0/3LOk1TmzD05IH31K+7CEgnMyB3TVf72+Phx92/y6LugPp/7yklbnzD44IX30Ke3DEgrOyRzQp00yN6y61+4Pp0+DLml1zuyDE9JHn9I+LKHgnMwBffjm170vupfuT6fPgi5pdc7sgxPSR5/SPiyh4Jy8Af387tv//q573/3Lh+7Ac3Xf7+qOJa3OmX1wQvpco8+cDPuwVlBwTt6APr+537/vvg7o2+6PdwG97zEwbN7VmefvZIMmpM/l34vnMyeZpHOR63vlDehqe/1S++K9ew/JgE6AJqTP5d+L52NALyZvQLuTneuDzx8OAnrybfglHdDP7IMT0ucafeZk2Ie1goJzCt3K2bzvfvIItM+SVufMPjghfa7Rx4CeJzinUECf1q/hT54D7bOk1TmzD05IH31K+7CEgnPKBnT3LryXMS1cSB99SvuwhIJzCga0fx3oyXs5l7Q6Z/bBCemjT2kfllBwTtaA7l+0PzS/8U6k6xHSR5/SPiyh4Jzc78JvDjU/v2tOenov/PUI6aNPaR+WUHBO9gvpm2PN7uynT2O6GiF99CntwxIKzsn+NKYN25fsPg/0WoT00ae0D0soOCf3m0ibR9LvXrH7RPorEdJHn9I+LKHgHD8TqYW2veGE9NGntA9LKDjHgLbQtjeckD76lPZhCQXnGNAW2vaGE9JHn9I+LKHgHAPaQtvecEL66FPahyUUnGNAW2jbG05IH31K+7CEgnMMaAtte8MJ6aNPaR+WUHCOAW2hbW84IX30Ke3DEgrOMaAttO0NJ6SPPqV9WELBOQa0hba94YRiPqwH9Lp+lrV+WELBOQa0hba94YQMhOun9PphCQXnGNAW2vaGEzIQrp/S64clFJxjQFto29tCd0h9luXD2p5ZQsE5BrSFtr0ZUH1m8GFtzyyh4BwD2kLb3hYaUNfPstYPy4clFJxjQFto25uBcP3MsH5YPiyh4Bx0QG93+zcQrp8Z1g/LhyUUnGNAkdv/IncAffS5xIclFJxjQA2oPvoQfFhCwTkGdERAcULz/az00ae0D0soOMeAjugVTmi+n5U++pT2YQkF56ADOp+KAc2ygvTRZ7oPSyg4x4C2GNAsK0gffab7sISCcwxoiwHNsoL00We6D0soOMeAttC2N5yQPvqU9mEJBecY0Bba9oYT0kef0j4soeAcA9pC295wQvroU9qHJRScY0BbaNsbTkgffUr7sISCcwxoC217wwnpo09pH5ZQcI4BbaFtbzghffQp7cMSCs4xoC207Q0npI8+pX1YQsE5BrSFtr3hhPTRp7QPSyg4x4C20LY3nJA++pT2YQkF5xjQFtr2hhPSR5/SPiyh4BwD2kLb3nBC+uhT2oclFJxjQFto2xtOSB99SvuwhIJzDGgLbXvDCemjT2kfllBwjgFtoW1vOCF99CntwxIKzjGgLbTtDSekjz6lfVhCwTkGtIW2veGE9NGntA9LKDjHgLbQtjeckD76lPZhCQXnGNAW2vaGE9JHn9I+LKHgHAPaQtvecEL66FPahyUUnGNAW2jbG05IH31K+7CEgnMMaAtte8MJ6aNPaR+WUHCOAW2hbW84IX30Ke3DEgrOMaAttO0NJ6SPPqV9WELBOQa0hba94YT00ae0D0soOMeAttC2N5yQPvqU9mEJBecY0Bba9oYT0kef0j4soeAcA9pC295wQvroU9qHJRScY0BbaNsbTkgffUr7sISCcwxoC217wwnpo09pn7XQnAzIBBfMgLbQtjeckD76lPYxoCNZ2M/XgOqjT0GfiRQaHVwwA9pC295wQvroU9pnIgb07IqZT4W2veGE9NGntM9EDOjZFTOfCm17wwnpo09pn4kY0LMrZj4V2vaGE9JHn9I+EzGgZ1fMfCq07Q0npI8+pX0mYkDPrpj5VGjbG05IH31K+0zEgJ5dMfOp0LY3nJA++pT2mYgBPbti5lOhbW84IX30Ke0zEQN6dsXMp0Lb3nBC+uhT2mciBvTsiplPhba94YT00ae0z0QM6NkVM58KbXvDCemjT2mfiRjQsytmPhXa9oYT0kef0j4TMaBnV8x8KrTtDSekjz6lfSZiQM+umPlUaNsbTkgffUr7TMSAnl0x86nQtjeckD76lPaZiAE9u2LmU6FtbzghffQp7TMRA3p2xcynQtvecEL66FPaZyIG9OyKmU+Ftr3hhPTRp7TPRAzo2RUznwpte8MJ6aNPaZ+JGNCzK2Y+Fdr2hhPSR5/SPhMxoGdXzHwqtO0NJ6SPPqV9JmJAz66Y+VRo2xtOSB99SvtM5HYD+ndp5v35DsjM7IMT0kef0j4TKTQ6uGAegbbQ/sHGCemjT2mfidzuEejgiplPhba94YT00ae0z0QM6NkVM58KbXvDCemjT2mfiRjQsytmPhXa9oYT0kef0j4TMaBnV8x8KrTtDSekjz6lfSZiQM+umPlUaNsbTkgffUr7TMSAnl0x86nQtjeckD76lPaZiAE9u2LmU6FtbzghffQp7TMRA3p2xcynQtvecEL66FPaZyIG9OyKmU+Ftr3hhPTRp7TPRAzo2RUznwpte8MJ6aNPaZ+JGNCzK2Y+Fdr2hhPSR5/SPhMxoGdXzHwqse1tViJCtBWkjz7TfSZiQM+umPlUDGiWFaSPPtN9JmJAz66Y+VTK/XyLbjmsFaSPPpf4TMSAnl0x86kY0AwrSB99LvGZiAE9u2LmUzGgGVaQPvpc4jMRA3p2xcynYkAzrCB99LnEZyIG9OyKmU/FgGZYQfroc4nPRAzo2RXDetN7GgZUH30MaAkGV4wBHRg9389qiTukPsvymYgBzUrBn9QkDKg++hjQEhRZbgNahCXukPosy2ciBjQrBrQIS9wh9VmWz0QMaFYMaBGWuEPqsyyfiRjQrBjQIixxh9RnWT4TMaBZMaBFWOIOqc+yfCZiQLNiQIuwxB1Sn2X5TMSAZsWAFmGJO6Q+y/KZiAHNigEtwhJ3SH2W5TMRA5oVA1qEJe6Q+izLZyIGNCsGtAhL3CH1WZbPRAxoVgxoEZa4Q+qzLJ+JGNCsGNAiLHGH1GdZPhMxoFkxoEVY4g6pz7J8JmJAs2JAi7DEHVKfZflMxIBmxYAWYYk7pD7L8pmIAc3KTQWU9cRp2g6pz7J8JmJAs2JADag+i/SZiAHNyg0FdBrlhGg7pD7L8pmIAc0KLVg0HwOqD9RnIgY0K7Rg0XwMqD5Qn4kY0KzQgkXzMaD6QH0mYkCzQgsWzceA6gP1mYgBzQotWDQfA6oP1GciBjQrtGDRfAyoPlCfiRjQrNCCRfMxoPpAfSZiQLNCCxbNx4DqA/WZiAHNCi1YNB8Dqg/UZyIGNCu0YNF8DKg+UJ+JGNCs0IJF8zGg+kB9JmJAs0ILFs3HgOoD9ZmIAc0KLVg0HwOqD9RnIgY0K7Rg0XwMqD5Qn4kY0KzQgkXzMaD6QH0mYkCzQgsWzceA6gP1mYgBzQotWDQfA6oP1GciBjQrtGDRfAyoPlCfiRjQrNCCRfMxoPpAfSZiQLNCCxbNx4DqA/WZiAHNCi1YNB8Dqg/UZyIGNCu0YNF8DKg+UJ+JGNCs0IJF8zGg+kB9JmJAs0ILFs3HgOoD9ZmIAc0KLVg0HwOqD9RnIgY0K7Rg0XwMqD5Qn4kY0KzQgkXzMaD6QH0mYkCzQgsWzceA6gP1mYgBzQotWDQfA6oP1GciBjQrtGDRfAyoPlCfiRjQrNCCRfMxoPpAfSZiQLNCCxbNx4DqA/WZiAHNCi1YNJ+iAZ2TiM9827I+l/tMxIBmhRYsmo8BLYI+l/tMxIBmhRYsmg9OyFMK+lyEAc3K7fRhIjQhA6rPRRjQrNxOHyZCEzKg+lyEAc3K7fRhIjQhA6rPRRjQrNxOHyZCEzKg+lzEVQd0db/muzP/schy304fJkITMqD6XMQ1B/ThvuXbH0/+1yLLfTt9mAhNyIDqcxFXHNCn+/u3Ly/Pb+5/+dOp/1xkuW+nDxOhCRlQfS7iegP6+V3Tz7agP5z670WW+3b6MBGa0C1d2K9PAa43oKvutfvD6dOghZa7yNjJ0HxwQuV8aIHQpwjFQhKiZEAfupfuT6fPghZa7iJjJ0PzwQnpk0afAa42oF8+dAeeq/tvfn3iLxRa7iJjJ0PzwQnpk0afAa45oG83v3t+swvofY9y31pEZAYKBrR7D2negNK6TPPBCemTRp8B6grNFNDTb8OXgPbzpfnghPRJo88ANxHQk+dAi0D7+dJ8cEL6pNFngKsN6MlzoMWh/XxpPjghfdLoM8A1B3T3LvyZmzkLQPv50nxwQvqk0WeAqw1o/zrQ0/dyloD286X54IT0SaPPANcb0KE7kYpA+/nSfHBC+qTRZ4DrDejQvfBFoP18aT44IX3S6DPA9QZ06GlMRaD9fGk+OCF90ugzwBUHdOB5oEWg/XxpPjghfdLoM8A1BzT9RPoi0H6+NB+ckD5p9BngqgMqInK9GFARkYkYUBGRiRhQEZGJGFARkYkYUBGRiRhQEZGJGFARkYkYUBGRiRhQEZGJGFARkYlcX0D/MN+Tn0LQfEQkG1cX0NWcz84LQPMRkXxcXUB/M+vTR4eh+YhIPq4uoDM/v3kYls/apmG+TwgYQJ80NB95xfUFFFYsls+qebr103qPhBjpk4bmQ+P/ne3j0s9xhQFFFauB49N9OtXDvJ8ScBZ90tB8aKzmflz7MdcYUFCxNmB8nrrNDbJH6pOG5tPy24NfavL53eyfGHTE9QX0afM5TIxivaB8vnzoTqY1m159I33S0HxaHjYftbv9pS6r+1/+7Zu654ivLqBP99/8uq0WZHsj+ax3yLfd7/7kTe0XP/oMQfNp+Pzn7Uftrg+J/6z+Br3+d+WH7XFord3r2gL6/Oab9rzyeq0CikXzeeh2wi8fvlsB3tvVJw3Np6X5sPIHiMxTu1et/6FZ802VN5SuLaC7s0aMYsF8djvh85u3241PH31G8sS5sKo9BG3YnCircFbh+gLarUTGOzcsn+af6maD61761N4L9FmWz5aHKqk6ycNmp9peLlvhDaXrC+iuUg+E844wn+37lpuLPwDvA+izLJ+Wh0oHe6fYXOj13J4gblfW3AW9toB2V869IC4So/js72fZnC7aeKyqrR59luVzcNFSc/7zCVPQ5jTxc/cG25cPs1tdW0DXK7T7N+jpm7/8i7ouDQSfw/tZdgcyT7V2An0W57M/ttu8f1S3oKv9N1/df/Mfa16gcHUBXf9rtPlJf/mAuPQY4HPmfpYvH+q8b6nPwnxW29MIbbWe/8+N3NP999V2r+a1elfQ9hC94gvN6wnoavtaZ7V77VP39TvH58T9LL996V0jo48+CbZvXjWlqn4Ov6P3Ntaq7om6qwnow+5tuO4dubo/bY7PiftZnuq8Y6nPEn12PWfcDbJhX9D1SjKgl7PabF7t2aNNvGoff2J8ju9nae4mqSekz7J89qdemQV9qnoz/JUE9PO7zfmhB8gzF1A+tPtZ9EkD8+ldPfVU+7ikx66g60PQiu9nXUlAV90blutePf9ZbRuYzwp2P4s+i/JZ9Q4Cnur3fMeuoFWPUq4moJsrjddrsu4RPdGHdj+LPovyOTjJiHhJtaUr6PObioegVxPQ9b/Tmx9u9+pZnx20+1n0WZRP/zRC3Z6vDk/CdgV9qHiUfiUBbX6u238c929i6tNBuZ+lQ580FJ/t/Uf9Zy89VdTZXZDa9XJb0JXnQKfz/H27Mh92l3k8v6n6IoPjc/h5ZPXvZ9FnWT6r3bVT3TmFzZ/WO9r7bXdt4K6i9R9rsvSAdi8p1r9uXynXfcnD8Vmd/jyymvez6LMsnw1vN+cUfuj+uOYBehvM3RmOnV9Flh7Q3UuK5t/vt4DHblJ8Tt0PWPN+Fn2W5XN4/9H+5smHuiekdoec27Mc1Qu6+IB2j3x/qX3DD8znxP2AjPtZ9FmWz+bq+aZX6w17/Uvl/evgRXtbUY9AL2P/TzTjSdkMnxP3A1a9n0WfZfkc33+0/XDE6lcx1T/tecDyA7o75IPA8KF9Hpk+aWg+p+4/eqp+uNfCKujyAwq4UO4Qhg/sfkB9BqD5UO8/eoEVdLkB3d1/UPm6pQ6Yz4p1P6A+C/PB3n/0wiroYgO6uZahWY/7Vz81ofnA7gfUZ2E+oPuPjgEVdLEBfdme1v7u8NVGTVg+sPsB9VmMD+z+o1NwCrrkgG4v9v3l/wO4WXIDyodyP2CHPmkYPqvde+2U+49OginosgO6vdryT95U/vHuX7UzfDrq3w94iD5p6vsg7z86BeW07CIDuupfob75h7vqId9T/wI5gM8R1e4HPIM+aar5QO8/OsVvh//KHCwxoN0jBXYb2UPdB2U/vL7EuLLPIVU/H+0E+qRhfJ4d7P4jLgsM6NPu44Z2Ba36zM2Nz+7jiyv6rE4cJ1S9H/AENX1cP8PfHXr/EZblBXQXp/ULjN3PteI5rK1P83Knf+lxBZ/+Wf+OmvcDHj6frb6P62cQ7v1HVJYT0P9vW6f9G4K9R/k/z/+2Tefz1D0V+//qHYNW8HnZbOucc1Wr089nq4jrZwjw/UdQFhPQ1f4ZNbt/n/cfNzT/pZe777g5v97cO9I7qVDnUtAV6e2rU89nq4zrZwjy/UdMFhPQ33THd73b3HY3TR783Gf2aU/4b54g8tC92qng0/D85p+eeJVaiRPPZ6uN62cQ8v1HSBYT0N27NN2/3C/706H9s6EVfL7/cbupdc+vq+Lz0nzf5iL+/lb//KbWLnDi+WxVfTYmrp8hyPcfEVlOQLtirbe8rk51zjS+8mnYbmlPlY8kvnz49sftOyX/s10xzdsU9R5Ievx8too+GxPXzxDo+4+ALCigXbH24ap8B/NOZHs08eVD7e3tYXPR3v0P3XmO/rVec7ucej5bRZ/WyfUzCPr+Ix5LCmhXrNXmhXL9y3u7gm4D+lT76GFjsLkV6t91q+ah0k6wi8Kr57NV8Pn8b7bf3PUTAH3/EY5FBbRf0HvC9R9dQZsTR/V73qyY7fP0elv+UyWrc89nm99n/5ae6yeC9x+NYFkB7Z0HZVzeuz+rULHnD7vXfc9vmlIcfhbT3/7FzDrd/T5nns82u0/vTRrE+ul7EdbPCbz/KMzCAnp4xySArc/+Zc/srPZ7YfM280/N1v/vK16tsz++Yzyfre3U7nK3+utnf/8RY/2cfiyH9x8FWUpAn7ptDVJQjM+qsehO/DdvM7c3kJy6a3Eu+vf71H8+23rVfPOX3d2/gPVzeP9R/fWz8ljzIhYS0O1riuYHXbtYLJ/u5NnDdof85t92Ka12/HDqfp+az2f75tf7ay6rr58z9x9VWz/d2wkebk5kGQHdXvC5AhQL5tMduWw/TJlwt/fr+31qPp+t7efBgV71R8ce3X9Uef30nv8p41lGQJ92b5I0P+fn6p+bjfHZHVttf0O4++7V/T41n8+27ef+KqHa6+fE/UdVn1/36vmfMpolBPT5+9/s7z1qNsDnf6fPht6L0+1d+P+llsqOw/t9Kj+/bvMv3fb4/KX6+jm+/6ju8+uOnv/ZUP9+0gWxgIA2b1v2HvxZ/R9KlM/D/iUh5izW0f0+1fjy592bR5S1c/L+o3qceP4n4X7SBbGAgB78RHcPYKoIyWcFvGvk1P0+lame8o5z9x9V0znx/E/A/aTLYQkBt9HYpQAAD3VJREFU7b9N8/ld/YCifP5qd4y12foBn7V16n6fyvQe4VWXc/cfVeLc8z+r30+6GBYR0O2bNZvf1f5He2PB8tkHlPAEslP3+9TmofrB3pYz9x/V4szzP+vfT7oUlhHQfbEqb3Lds/QoPju2j0ZdV+v76kfohPt9XgM437gFdv/R6ed/Eu4nXQbwgD73n5T4tvk3suo/jfsPgGf47NkE9AlxQTTgfp9jMIegL6z7j3z+52WwA9p+4np3JUr9BzA1Vfj8rzZHeASfHu25WEY/Aff7nKD3CYQYEPcf+fzPi0AHdP1z/uVvegWt/H7N4SfF1ffp01wNQOln/ft9TgH7kEnO/Uc+//MSyAHd/APd3U1SrVjd5xfvjhe2d+FRCrravKvbHPUh+rn6of67y31Wu3u1GBfnrHYfnwW5/8jnf14AOaCf322f0Va1oLvjzva9ke1pBVBBV/tHozH62ZznqH8/1I7elZf/4neVXRpaH9j9Rz7/czLsgL7d/lqzoL/p3sdq36fZPGpoe0Ktis8fDo8SmtMc/+2l7Xqtfh5cetr5VESfAU7cf+TzPyeCDehT75/ougV9/k/b3zzsH/y1fRFUwefVhaer7n2s5s6WGrx6nuSq9vtq+gxz8v4jmQQ1oJsXFbtHQOwL+r/VeHX4/M+3nx3Xbf6r3dVVc/scXjlVfX989TxJfeA+LefuP5LxQAPaPj5nfXzXK2iNDe8P3e1Grzay/UOQZufg0Y3Vz/u/ep6kPnCfLWfuP5LxQAP61N0wvCtojVsjdhcWvy5oretPXra3Au73wj/U3R+PniepD9ln991P338k40EG9PnPnja96hW0Br95c1zQ1f3bqg+f/fzu2//6hnEc83LmeZIV0SfF/vy59x/lghjQ3gM3Kxf0+aigdT/A+GWzEzxjCnrqeZI10SdF70SY9x9lghjQ/gM3cQWtfdL9aftRoIyC0t7P1SdF//y59x/lARnQV28fwQpal83mTiko7f1cfVIcnD/3/qMsMAN6+MjiqjeQ4Ar6n1sHSkFp7+fqk+DV+XPvP8oANKCQWm03seoF/fK73jWoL51M3YImnydZAX0GOTp/7v1HF8MK6Gr/rFlCQZ/utw/Z3Be0TrS290Ad7H9VC0p7nqQ+EVjnz68DVEC7TnTvd1cuaPdhuPs3L2t9fvHmVNrq8Pil4p7Qv7+G8H6uPiFY58+vA1JAt29ZrigF3b3iqv7g+eZfluPTZ7vH9c8N7XmS+gRhnT+/CkAB3X6sz/7Nyto/6P1V0JVNNk9LPlHQSgfEtOdJ6pOAeP78igAFdHuGqO3n8581f1IrEFt6H9v9UPXi+XbNnCpoJWjPk9QnAe78+XWBCujmk17bD/ep/gbSy8GHia/ua95Hsjm3sS7o5hMdq984QnuepD4JaOfPrwxUQNc/083r9+7VfGX2Vz4/ffOXFT/odb0PbB5Cen9wWVU1WPfX6JMEdv782gAFtDn1vk1WxcfF9dm9jdV8UG9NkafmJNrD9kVg/c+OY91fo08K2vnzawMU0JeH3Wmi5qdex+Hg4xfaV+6bDxyq/M/19kTWn95vPpCsdiJQ99e86JNUYZ0/vzZIAd3f9v5Q6xjry4ejc0WIF83d0wHaPaHmCQ7a/TX6DEA7f35t1A3o4fFem6u3VS+7bF98PX/f++4PrM2uKeju85XnhnZ/jT7D0M6fXxtVA/r6eK/+Ad8ffnN//ydvap9jTLEu6Od3dV7C0+6v0ScC7Pz5tVE1oMfHe5t/KWuesHmq/P0Heap1REy7v0afGLDz51dG1YASj/eag2DOK/ZDPr9r9oFab+ui7q/RJw7l/PlVUvlNJNzx3vrA4U+xBe1uKqmzylD31+gznqrnz6+VygHlHe99+R3h02tO8vmv323e0apzVQrq/hp9JlDx/PnVUjeg0OM9akHrgrq/5kWfCVQ7f369VD4ChR7vEZ2qQ7q/pkGfMdQ9f369AC6kp9Rq1buCqnV6/udubH1A99e06DOCuufPrxdAQCEF7bawzUn2J686PoZzf80GfcJUPn9+vVQLKO1472n3OPx9Qe3nIZz7azboI7WpFVDa8d7u+rj1a6/NaaLP/9LrPV7Dub9mgz5SmUoBxR3v7Q8YnmFX9qPg3F+zQR+pS52Aco73VtvtvXfKyrvd+nz5cPAPG+f+mg3VfeDrRwpTJ6CY473dEUPv84/qPYwUSBOEwx9Q5ftrfvv6D+r64NaPzMu8AQUe7z1sdoDe5x95u/CedR+OV0a9+2tWJ9tU8X4f2PqR2Zk1oMjjvU1B13tC5/H8xldfW072oR7958UhgK0fmZ+ZX8ITj/c2TrvPP6r3OHwcsD4cPi8OAGz9SAXmPgdKPN7bOK3uu88/qi4EodeHvyJ04tXz4qpDWz9SgdnfRCIe7+0LWvtyVBRPuxMuvTOPz2+qXZ5z9Ly46j6s9SMVmP9deOLx3u64GHR+DcBq+yDe3j0PzfMHaxXixPPiqvrQ1o9UoMJlTIjjvdXhd34wnKd4WK+k7fnqboXt7n2Yn5PPi6voQ1s/UoEa14ECjvd27+d2FbWgp2g+0vFhX6rtGnqodJPiuefF1fKhrR+pwDwBxR3v/Xb3dK+uovWdiKwO/o3Z/u6p4scGn3pe3Pw+n//NTzsj0PqR+ZkloMTjvVbh87t+R6s7Aen9pHZX7P7tX8xt0d0vefp5cbP79A6FGetHqjFLQJHHezuFzbkEC7rnYX8er9eKerc87O6XZDwvrvlnt/veiPUj9ZjpHCjxeO8g4m1Faxsx2L5e2HZh9Xb/59We19HvefXnxbWb8a6VgPUjFZnrTSTi8R7gMBjIqmlnL1Q7al2xe3C/T/3nxa0NvvnLU7fPEa5olrmZ7V144vGeBT2me3PmoXc89fS24hW7r+6XrP28uKafv15/9369q64fqcp8lzERa0V0qkx3u8/zm122tq/p65zhO75fsurz4tp+vjrarLp+pC4zXgdKrBXRqSq7Y6veQdZfP/TOic7Nqfsl6z0vbtvP/uPEKq8fqcucF9ITa0V0qsm+m5RTeiful6zG7nC4d3wuN82sdyIRa0V0qslDdyhFCeip+yWr8eXPN91clxSydqQu897KSawV0akiq9rvch9x+n7Jyjz5lpE01HmgMooHT//3+avdMdamWUcfQjQ7J++XrEzvkeByy9R5oDKL+omoz5fftZeW7evUBfSpzrsjBz6n7pes6bNxYpRc6lLhgcoe7wHpbrbd1XL7UStP9/ff1/h5HfgA7pc8Wj8rn/spLzUeZ+fxHpFNo1bf9f5g++Z3teuFej7175c8Wj8egkpDnc+FFxrNEdbBEdXnd+tDvWr9PPbZ/XkdoWOf5ze8k1EyOwZUXjavjJ8OCrH5k1qNOPape7/kCZ/9Q/HlhjGg8rJ9ZXxQiPVL+H9b7w2/Y5+690se+/ihxtJgQOWl+7ihdSE2D8v6rvbzXo596t4veezz0hyW/ovfVfIRCgZUXjYXq7/sb5hsjreqXnB2wqcqNB+hYECl4am5zfxh+xq5Pff5/KbmeyTHPnWh+QgEAyot2wsd/7Q9z/dU/2JdfWQJGFDZ8Pxm+9ijH3ZX0esD9hEEBlQOaQrx5QMnEPoIGAMqr1gXor2KnoI+wsWAymueYM9X10ewGFDp8fld8x4J54Ev+ggbAyo9uocOUW5S1EfYGFDZ8/mv321utHl933cl9BE4BlREZCIGVERkIgZURGQiBlREZCIGVERkIgZURGQiBlREZCIGVERkIgZURGQiBlREZCIGVGbi7//47o/+Zobv8/GuzyzfUm4WAyozUSegd3dfzfA95VYxoDITtQJ69/MZvqncKAZUZmLGgO6T+Wkd0H/8H2b4rnKbGFCZiSoBbb6rh6BSDAMqM1EnoM2XngWVUhhQmYkuoP/wq+ZF9cdXb5F/OvX13S/6/2vzv/yjf9Z8/bH3317/3dcB/bQP6Pv2721GnNZojlfXf9xr/eFskUMMqMxEP6D/98+2b/Bsy/T7V1+3Ibvbnb9s/tf/8avuLaHuP3716v/dnut8FdD33V/cv7l0VqP7K/9LF9DXs0UOMaAyE72A7tkcDu56efT1plzN//q/d3/j/9j9/232do3rKncY0OY//3z7xwfvy5/Q+NT7k1b1aLbIIQZUZuIwoE38Pm5b1r62/sWmm191X/98+xe+etm9su7K2vyuadtX22lt/j51x6QHAf3Ya/Dmj5vfNB7HGs1/af7u7mzC8WyRQwyozEQ/oPtX29s+7o48m9+s47g9Ubn9XRe9Tcp2v2t+82l3CrObcnQd6C+2f33/kr/59scaH+96L9xPzxY5xIDKTPQDuj1EXJdqG6pt3D62ueu9cb45nGwC+otuyLZk6981/Xu/L9un/WHrUT8PPbqAHmq8758L3fzB69kihxhQmYleQLsubcv18VXl9iVr/sZXu+a9HP+uf23U5u++CujrfLav3LcBPdTYj97/wevZIocYUJmJ8wF9f/j6uPcXjtp2IqB9tjneHCx+fNXP/XtE5wLa9XLz2xOzRQ4xoDITYwK6e897l7IzAe29T34U0N0bTbsvkgHdyuy/64nZIocYUJmJIkegvep19N6F/3S3+313ONleJR87Aj0xW+QQAyozMekc6Ob9peRL+NdXaPYvY9q/iv9492pE6ByoV39KGgMqM3E+oAeXGH118C78++5d+DMBbd4TevU+UT+gu2uVet/005mX8L1Rm3fhT8wWOcSAykycD+j+us9NL09dB3omoL0jy95lTPsrjnrX2+8vfzod0P11oN1lp8ezRQ4xoDIT5wPa3YnU/NoWq38nUvMXEgFtz222x4nv73YX0vda9/HV6PYip+bvHWt0aW3fPOr+4HC2yCEGVGYiEdDeBUO72y17b5inAnpwA3t303svoN2L+P5fOxPQ43vhj2aLHGJAZSYSAd0X89V75vunMZ0NaO9qo93ln/3YdS/i33d/63/dnNo8pXH+aUz2U05iQGUmUgHdHuz13vR+/TzQ8wHtund49+ee7kX8JoY/796zOqmxfWpJ776jw9kihxhQkdd446YEMaAiG/aXn773JbvEMKAiG3Zvtfueu0QxoCIb+ve+ewAqIQyoyJZP9lNGYkBFdrz3PXcZhQEVEZmIARURmYgBFRGZiAEVEZmIARURmYgBFRGZiAEVEZmIARURmYgBFRGZiAEVEZmIARURmYgBFRGZiAEVEZmIARURmYgBFRGZiAEVEZmIARURmYgBFRGZiAEVEZmIARURmYgBFRGZiAEVEZnI/w89RiAVDYRuFAAAAABJRU5ErkJggg==" title alt width="672" /></p>
+<p>Investors number get a bit higher with the increase in income range. The same thing can be observed between investor number and debt to income ratio</p>
+<p><strong>Debt to Income Ratio on Investor count</strong></p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Borrowers who have debt to income ratio lower than 1 attract most investors (risk averse). However, there’re investors who accept very high debt to income ratio of 10.01 (which is larger than 1000 percent). Also this relationship is not linear, which explains why our correlation coefficient is very poor (0.00176)</p>
+<p><strong>Lender Yield on Investor count</strong></p>
+<p><img 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" title alt width="672" /></p>
+<p>Investors don’t prefer very high lender yield because high lender yield means high borrower rate, means high risk. That’s why we can see the number of investors go down when lender yield increase. Most preferred rate is around 10%</p>
+<p><img 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" title alt width="672" /></p>
+<p><strong>Estimated return on Investor count</strong></p>
+<p><img 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" title alt width="672" /></p>
+<p>Similar to lender yield, investors prefer estimated return around 10%. When they invest in lower Prosper Rating loans, they expect higher return (10-20%). But there are also investors accept negative estimated returns and invest in HR loans.</p>
+<p><strong>Loans with low and high number of investors:</strong></p>
+<p><img 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" title alt width="672" /></p>
+<p>The popular rating for loans with only 1 investors is C with 8000 loans.The popular rating for loans with more than 100 investors are A with approximately 5500 counts.</p>
+</div>
+<div id="underperformed-loans" class="section level2">
+<h2>Underperformed loans</h2>
+<p>This section we will work with underperformed loans (charged-off loans) and discover their common patterns</p>
+<pre><code>## [1] 11992</code></pre>
+<pre><code>## [1] 0.1052511</code></pre>
+<p>There are 11992 charged off loans (account for 10.5% )</p>
+<p><img 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" title alt width="672" /></p>
+<p>Most borrowers with chargeoff loss have Prosper Rating lower than D and estimated loss larger than 10%.</p>
+<p><strong>Performance of charged off loan</strong></p>
+<p><img src="data:image/png;base64,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" 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" title alt width="672" /></p>
+<pre><code>## 
+##     FALSE      TRUE 
+## 0.1882922 0.8117078</code></pre>
+<p>For both Gross Principal Loss and Net Principal Loss, the thickest area lies from 50% to 100% and under 100 investors. Nearly 81% of Net percentage loss is over 50%.</p>
+<p>Facet the chart using Prosper Rating, we see how Prosper Rating affect the investors number to a loan (a pattern we have discovered earlier). Low investor count usually go with low Prosper rating, and those loans with low ratings tend to have high percentage loss when it comes to charge off loans</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>There are some cases, however, that the investors can recover of their investments. In those cases, Net Principal Loss is smaller than Gross Principal Loss. We can observe the phenomenon more clearly in the chart below where many points lie below the equate line of gross principal loss and net principal loss</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>This brings me to a question of how accurate the estimated loss Prosper calculated in comparison to the actual loss investors have to suffer</p>
+<p><img 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" title alt width="672" /></p>
+<p>Sadly, the forecast is not even close. The actual loss is much higer than the estimated loss that Prosper uses to determine Prosper Rating based on such investors may make their decision.</p>
+</div>
+</div>
+<div id="bivariate-and-multivariate-analysis" class="section level1">
+<h1>Bivariate and Multivariate Analysis</h1>
+<div id="talk-about-some-of-the-relationships-you-observed-in-this-part-of-the-investigation.-how-did-the-features-of-interest-vary-with-other-features-in-the-dataset" class="section level3">
+<h3>Talk about some of the relationships you observed in this part of the investigation. How did the feature(s) of interest vary with other features in the dataset?</h3>
+<p>We learn from Loan purpose that most borrowers come to Prosper to find a means to settle their debt. This explains why Bank card utilization of most borrowers is high, and most of them don’t have very good prosper score, credit range as well as prosper rating.</p>
+<p>Prosper uses Prosper Score and Credit Score to determine the Estimated Loss Rate. Estimated Loss Rate is then employed to calculate the Borrower Rate and to determine Prosper Rating. Term affects Borrower APR when Prosper imposes different service fee on different loan terms borrowers apply for.</p>
+<p>Lender yield, Estimated effective yield and Estimated return are all derived from Borrower Rate. That’s why these rates show high correlation to each other. And because they are inter-dependent, it’s not useful to throw them together to predict effect on another variable (for example: investor count). At best, we can only use one of them as the predictor (lender yield or borrower rate, estimated loss rate). However, the correlation between such rate and investor count is negative and weak (~ -0.3%). This can infer that lenders participating to Prosper Loans are quite risk adverse. Still I cannot find any factors which affect investors’ decision strongly. Prosper Rating is a good indicator, but not a dominant factor. Hence, I think investor’s choice to invest in a loan is quite intuitive.</p>
+<p>When investigating charged-off loans, I also realize that the estimated loss rate will not accurately predict the actual loss rate. Therefore, investors should be careful to base their decisions on such information.</p>
+</div>
+<div id="what-was-the-strongest-relationship-you-found" class="section level3">
+<h3>What was the strongest relationship you found?</h3>
+<p>The strongest relationship I’m able to observe in this dataset is between estimated loss rate and borrower rate. Hence, I will build linear model to predict borrower rate based on estimated loss rate</p>
+</div>
+</div>
+<div id="prediction-model" class="section level1">
+<h1>Prediction Model</h1>
+<div id="linear-model-of-borrower-rate" class="section level2">
+<h2>Linear Model of Borrower Rate</h2>
+<p>Now I will build a model to predict the Borrower Rate based on Estimated Loss Rate as they show good correlation to each other. As Estimated Loss was only calculated after July 2009, I will predict based on a sub dataset after July 2009</p>
+<pre><code>## 
+## Calls:
+## m1: lm(formula = BorrowerRate ~ EstimatedLoss, data = dtAfter2009)
+## 
+## ===========================
+## (Intercept)       0.075*** 
+##                  (0.000)   
+## EstimatedLoss     1.509*** 
+##                  (0.002)   
+## ---------------------------
+## R-squared             0.894
+## adj. R-squared        0.894
+## sigma                 0.024
+## F                712518.799
+## p                     0.000
+## Log-likelihood   194862.855
+## Deviance             50.292
+## AIC             -389719.710
+## BIC             -389691.664
+## N                 84853    
+## ===========================</code></pre>
+<p>So let assume a listing has Estimated Loss of 0.0049, what is the estimated value of borrower rate given confidence level of 95%</p>
+<pre><code>##          fit        lwr       upr
+## 1 0.08226263 0.03454436 0.1299809</code></pre>
+<p>Borrower Rate of this listing has mean value of 0.08, and 95% chance that the rate will be from 0.035 to 0.13. 89.4% variability in Borrower Rate can be explained by that in Estimated Loss. This model only uses Estimated Loss as the predictor because (1) it has good correlation coefficient with Investor counts (2) as Estimated loss is derived from many other variables in the dataset (Prosper Score, Credit Range, borrowers’ credit history, Prosper Rating), throwing those variables into the model can cause multicollinearity.</p>
+</div>
+<div id="multilinear-model-of-estimated-loss" class="section level2">
+<h2>Multilinear Model of Estimated Loss</h2>
+<pre><code>## 
+## Calls:
+## l1: lm(formula = EstimatedLoss ~ ProsperScore, data = dtAfter2009)
+## l2: lm(formula = EstimatedLoss ~ ProsperScore + CreditRange, data = dtAfter2009)
+## 
+## =====================================================
+##                                   l1          l2     
+## -----------------------------------------------------
+## (Intercept)                     0.159***    0.191*** 
+##                                (0.000)     (0.001)   
+## ProsperScore                   -0.013***   -0.011*** 
+##                                (0.000)     (0.000)   
+## CreditRange: 620-639/600-619               -0.007*** 
+##                                            (0.001)   
+## CreditRange: 640-659/600-619               -0.020*** 
+##                                            (0.001)   
+## CreditRange: 660-679/600-619               -0.033*** 
+##                                            (0.001)   
+## CreditRange: 680-699/600-619               -0.041*** 
+##                                            (0.001)   
+## CreditRange: 700-719/600-619               -0.049*** 
+##                                            (0.001)   
+## CreditRange: 720-739/600-619               -0.054*** 
+##                                            (0.001)   
+## CreditRange: 740-759/600-619               -0.057*** 
+##                                            (0.001)   
+## CreditRange: 760-779/600-619               -0.060*** 
+##                                            (0.001)   
+## CreditRange: 780-799/600-619               -0.065*** 
+##                                            (0.001)   
+## CreditRange: 800-819/600-619               -0.067*** 
+##                                            (0.001)   
+## CreditRange: 820-839/600-619               -0.066*** 
+##                                            (0.001)   
+## CreditRange: 840-859/600-619               -0.068*** 
+##                                            (0.002)   
+## CreditRange: 860-879/600-619               -0.067*** 
+##                                            (0.003)   
+## CreditRange: 880-899/600-619               -0.065*** 
+##                                            (0.008)   
+## -----------------------------------------------------
+## R-squared                           0.454       0.545
+## adj. R-squared                      0.454       0.545
+## sigma                               0.035       0.032
+## F                               70527.597    6764.427
+## p                                   0.000       0.000
+## Log-likelihood                 165141.180  172849.094
+## Deviance                          101.331      84.497
+## AIC                           -330276.360 -345664.187
+## BIC                           -330248.314 -345505.260
+## N                               84853       84853    
+## =====================================================</code></pre>
+<hr />
+</div>
+</div>
+<div id="final-plots-and-summary" class="section level1">
+<h1>Final Plots and Summary</h1>
+<div id="plot-one-estimated-loss-by-prosper-score-and-credit-range" class="section level3">
+<h3>Plot One: Estimated Loss by Prosper Score and Credit Range</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+<div id="description-one" class="section level3">
+<h3>Description One</h3>
+<p>This plot shows the effect of Prosper Score and Credit Range on Mean estimated loss. Estimated loss is higher with lower Prosper Score and Credit Range.</p>
+</div>
+<div id="plot-two" class="section level3">
+<h3>Plot Two:</h3>
+<p>Borrower Rate and Borrower APR by Estimated Loss and Term</p>
+<p><img 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" title alt width="1584" /></p>
+</div>
+<div id="description-two" class="section level3">
+<h3>Description Two</h3>
+<p>The second plot answers the question of what influence the Borrower Rate and Borrower APR. Since we can see the good linear relationship between Estimated Loss and Borrower Rate, as well as how Term affects the difference between Borrower Rate and APR, we have a better idea of what Prosper will look at when determining Borrower Rate and Borrower APR</p>
+</div>
+<div id="plot-three" class="section level3">
+<h3>Plot Three:</h3>
+<p><img src="data:image/png;base64,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title alt width="672" /></p>
+</div>
+<div id="description-three" class="section level3">
+<h3>Description Three</h3>
+<p>Watch out!!! Forecast is just forecast. The estimated loss rate is much lower than the actual loss rate when it comes to charge-off loans. As Prosper uses estimated loss rate to determine Prosper Rating, borrower rate and consequently lender’s yield as well as estimated return; lenders who merely base their decision on those factors are risking losing more than what they expect.</p>
+<hr />
+</div>
+</div>
+<div id="reflection" class="section level1">
+<h1>Reflection</h1>
+<p>There are 81 variables in this dataset, but the variables used to make lending decisions are boiled down to several ones including Prosper Rating and Estimated Loss Rate; Prosper Score and Credit Range; Lender yield, estimated effective yield and estimated return… I wonder where borrowers’ information such as credit history, bankcard utilizaton, delinquencies,.. go into this process?</p>
+<p>Prosper claims that they use a discrete scorecard built on applications from April 2008 to April 2011 to determine the Prosper Score. The scorecard takes in variables of borrowers’ credit information. However, graphing the Prosper Score against these variables, I see negative correlation but not enough to quantify. Lacking of domain knowledge, I was unable to build and test the effectiveness of this scorecard in determining Prosper Score, which in turn affects Estimated Loss Rate. Keeping in mind that Estimated Loss Rate is then used to decide Borrower Rate and Prosper Rating. The accuracy of the score card is critical to enhance Prosper’s ability to estimate yield and return for investors. However, from the dataset we can see that the accuracy of estimated loss rate is very poor. Investors should be careful when using these factors in their decision making process.</p>
+<p>I didn’t build a model to predict investor number, because the correlation of various factors on investor counts is weak. Building a model with such low R square can be ineffective. Instead, I build a linear model to determine Estimated Loss Rate with good R square of 89.9%.</p>
+</div>
+
+
+</div>
+
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new file mode 100755
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diff --git a/public/images/service/background-shape.svg b/public/images/service/background-shape.svg
new file mode 100755
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diff --git a/public/images/service/branding.svg b/public/images/service/branding.svg
new file mode 100755
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new file mode 100755
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diff --git a/public/images/service/web.svg b/public/images/service/web.svg
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+                    
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+                            <div class="col-sm-5 right">
+                                <h1>We Solve Data Problems</h1>
+                                <ul class="list-style-none"> <li> With over a decade of experience designing data engineering and analytics solutions for startups to large enterprises. </li> </ul>
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+                    
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+                            <div class="col-sm-5 right">
+                                <h1>Crack the next Data Interview</h1>
+                                <ul class="list-style-none"> <li>Please check out my blogs, YouTube, and advice. If my writing speaks to you and you're looking for personalized guidance. Let's connect. </li> </ul>
+                            </div>
+                            <div class="col-sm-7">
+                                <img class="img-responsive" src="img/carousel/template-easy-code.png" alt="">
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+                    <h2>What People Say About Me?</h2>
+                </div>
+
+                <p class="lead">
+                  
+                </p>
+
+                
+
+                <ul class="owl-carousel testimonials same-height-row"
+                    data-items="4"
+                    data-autoplay="true"
+                    data-slide-speed="2000"
+                    data-pagination-speed="1000">
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh has played a crucial part in the success of this project. His enthusiasm, dedication, communication, ownership, and technical abilities are simply mind blowing. I don’t believe that I ever worked with someone for a period as short as 10 days that impressed me as much as Jitesh did. A true star of the show.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFhLH6uLyhESg/profile-displayphoto-shrink_400_400/0/1579500033911?e=1690416000&amp;v=beta&amp;t=hVUYovnP5vEnav3gzBvUibZkVlpu-lNA7vDBxNF9MDY">
+                                    <h5>Ala Qabaja</h5>
+                                    <p>Senior Data Engineer, Atlassian</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>I have had the pleasure of working with Jitesh for 3+ years at Amazon. He is always curious to learn new technologies and implement them when the situation and use case apply. He is an expert at big data technologies and is always looking for ways to build simple solutions to seemingly complex problems. He has built and scaled pipelines that handle petabytes of data and his solutions have seldom resulted in operational issues post-deployment. I am hopeful we will work again!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQEQSY-C4IgOhA/profile-displayphoto-shrink_200_200/0/1517430289963?e=1684972800&amp;v=beta&amp;t=LhYQ0H9mikP-YNpDMRHIOUwcxGgt3Gv1Ye_C_A_3lXc">
+                                    <h5>Sunil Muktibodh</h5>
+                                    <p>Senior Manager, Amazon</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>100% agree.  Not only a skilled technical resource, but an absolute pleasure to work with.  Just we for-warned, any future support we need from you guys, we’ll be asking for him by name!!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQHTQ3iTjxaByg/profile-displayphoto-shrink_200_200/0/1516317757063?e=1684972800&amp;v=beta&amp;t=nPQo7d9GZuX6ZGi-BLgQroXynagu7FNRXXUwKGMf0xk">
+                                    <h5>Mike Henry</h5>
+                                    <p>Manager, Data Analytics at ARC Resources Ltd.</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was incredible! His sole goal is to help you improve and he goes above and beyond to achieve that. In addition to his depth and breadth of knowledge, his commitment to the student sets him apart from other coaches. I highly recommend a session with Jitesh.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4D03AQEfiVXe1LPJkQ/profile-displayphoto-shrink_100_100/0/1636400968535?e=1684972800&amp;v=beta&amp;t=yg2wcmlDGw0E8qrtoocKce5tB-h1N5tBBOtsOqxML2o">
+                                    <h5>Jarriett</h5>
+                                    <p>Staff Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was a pleasure to work with on our lakehouse build out project. He excelled at understanding our business logic and requirements, clarifying any ambiguities, and then translating them into code. The technical solutions he created were effective, clean, and easily maintainable. Furthermore, he was receptive to feedback and was open to making adjustments to fit his implementations into our standards and practices. Beyond just the tasks he worked directly on, Jitesh was an effective communicator &ndash; able to proactively provide helpful advice on other items and answer questions about the many technologies he is knowledgeable on.
+In conclusion, I think Jitesh reflects very well on Databricks and I was glad to have the chance to work with him and would definitely do so again in the future.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQH-WPWnXrluhw/profile-displayphoto-shrink_200_200/0/1587956665123?e=1684972800&amp;v=beta&amp;t=cAh9AqO3Cwmg9gOsNf8ZRtbH49YO396HlDEC5c3DbVI">
+                                    <h5>Joel Lowery</h5>
+                                    <p>Chief Information Officer, Audnatic</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh gave me an excellent overview of what to expect during the final round of Data Engineer interviews at Amazon as well as how best to prepare for them. He absolutely exceeded my expectations for today&rsquo;s session. Highly recommended!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D5603AQGYq0LgfMXhTw/profile-displayphoto-shrink_200_200/0/1667102056171?e=1684972800&amp;v=beta&amp;t=g6-sG_pEHzMYY-nllqHZRWt82WZBl7gwPqgD-61zJK0">
+                                    <h5>Billy</h5>
+                                    <p>Senior Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh is awesome to work with! He is very knowledgeable and experienced with data engineering concepts, and internal Amazon processes. He has helped me dramatically. Would highly recommend his coaching sessions for anyone interested in a data role at Amazon.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFwWty5DOt2Vg/profile-displayphoto-shrink_200_200/0/1565608926475?e=1684972800&amp;v=beta&amp;t=pG746AZ7cfojSwMM7rURgujCon0ShRpNHTixMkFkGTs">
+                                    <h5>Lin</h5>
+                                    <p>Senior Program Manager</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>This was my 3rd session with someone doing DE interviews &amp; this was easily the best one. I liked the guidance to look into high level technical concepts without taking too much time digging into the details - that I can figure out offline on my own.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQHAT7VCvaDcKQ/profile-displayphoto-shrink_200_200/0/1520390103963?e=1684972800&amp;v=beta&amp;t=WEC_hvdW4CtwlKfFpPCBD2GxlyfnR9wpjsSZ-s33RRg">
+                                    <h5>Blaine</h5>
+                                    <p>Senior Software Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>My experience was good with Jitesh, Better than my expectations. It was like a coaching session, in which he guided well.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D4D03AQEilP6Dqx0XUw/profile-displayphoto-shrink_200_200/0/1674746166561?e=1684972800&amp;v=beta&amp;t=qubr7vJhw9h4Ed9wb2PnvledzkPW02rcISrUZcBnHck">
+                                    <h5>Abdullah</h5>
+                                    <p>Cloud &amp; Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh gave me specific recommendations on my career plan according to what is happening in the data engineering market. I&rsquo;ve got detailed and honest answers to my questions. Very valuable session.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D4E03AQEe1qgpQoXFTA/profile-displayphoto-shrink_200_200/0/1676730312052?e=1684972800&amp;v=beta&amp;t=oxh1GAgtpZvOw1DfVRhl3dyE_qkdhm_rrHuZSsWqP9Q">
+                                    <h5>Eugene</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh had been very helpful to guide me throughout the interview. He is very quick to respond and goes above and beyond to help. It would not have been possible for me to crack the interview without his guidance. I would highly recommend him.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D5603AQH35zfsFQKDtw/profile-displayphoto-shrink_200_200/0/1664473062733?e=1684972800&amp;v=beta&amp;t=MjN3LtwjWGHQ3a4aEyYdmVn8Ru2pZcr389lKE2aplrg">
+                                    <h5>Minu</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was amazing. He has a no nonsense approach to things. He really helped in drafting a comprehensive prep plan for DE full time roles and explained it really well. Would definitely recommend him for anyone trying to get into DE roles.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFHByb1PkIrcQ/profile-displayphoto-shrink_200_200/0/1651741927202?e=1684972800&amp;v=beta&amp;t=dY6YBaFEULSpOHcN--dJzBpkVTYejAaEjMmQXy1AqtU">
+                                    <h5>Nikhil</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>This was my 4th session with Jitesh and he always keeps going above and beyond to make sure I need everything I need. With Jitesh&rsquo;s excellent guidance, I managed to pass the phone interview round and we&rsquo;re continuing to prepare for acing the final round. Keep up the great work Jitesh!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQEqwKY0pUFMPw/profile-displayphoto-shrink_200_200/0/1600451468953?e=1684972800&amp;v=beta&amp;t=OrTtzZ5irDnI281Exkk9CYyyn8Mfg42biCxa2BqDlcc">
+                                    <h5>Saeed</h5>
+                                    <p>Senior Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was extremely good at targeting the DOs and DON&rsquo;Ts during the interview. His familiarity and broad exposure to systems design and database design concepts reflects the way he guides others in correct decision making during the design interviews. To add to his technical expertise and being up-to-date on the systems design areas, is his profound quality of going above and beyond to help candidates aces through the interviews. He never shuns off from taking the ownership of guiding the candidates throughout the process though he gets paid just for the one hour sessions here. Being extremely approachable is another quality that I like the most in him.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4D03AQFdMv5-m_JRtg/profile-displayphoto-shrink_200_200/0/1657740760304?e=1684972800&amp;v=beta&amp;t=VrCn2cSmN1rYW96c5i0wjQUdgjpLiaO_hctl4W1RAOI">
+                                    <h5>Venkata</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                </ul>
+                
+
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+            </div>
+
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+</section>
+
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+            <div class="heading text-center">
+                <h2>From our blog</h2>
+            </div>
+
+            <p class="lead">
+              
+            </p>
+
+            
+
+            <div class="row">
+                
+                
+                <div class="col-md-3 col-sm-6">
+                    <div class="box-image-text blog">
+                        <div class="top">
+                            <div class="image" style="overflow:hidden">
+                                
+                                <img src="https://cdn-images-1.medium.com/max/2000/0*QQtHSumIKaAxKya8" class="img-responsive" alt="" >
+                                
+                            </div>
+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
+                                </p>
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+
+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">Solving Delta Table Concurrency Issues</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
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+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                on September 30, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/" class="btn btn-template-main">Continue reading</a>
+                            </p>
+                            
+                        </div>
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+
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+                <div class="col-md-3 col-sm-6">
+                    <div class="box-image-text blog">
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+                                <img src="https://cdn-images-1.medium.com/max/10000/0*lFrzWG4v-HT_emCP" class="img-responsive" alt="" >
+                                
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+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
+                                </p>
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+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/">Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                on September 15, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/" class="btn btn-template-main">Continue reading</a>
+                            </p>
+                            
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+
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+                <div class="col-md-3 col-sm-6">
+                    <div class="box-image-text blog">
+                        <div class="top">
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+                                
+                                <img src="https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ" class="img-responsive" alt="" >
+                                
+                            </div>
+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
+                                </p>
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+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                on September 12, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/" class="btn btn-template-main">Continue reading</a>
+                            </p>
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+                    <div class="box-image-text blog">
+                        <div class="top">
+                            <div class="image" style="overflow:hidden">
+                                
+                                <img src="https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB" class="img-responsive" alt="" >
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+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
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+                            <h4><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                on June 6, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-main">Continue reading</a>
+                            </p>
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+<script src="//cdnjs.cloudflare.com/ajax/libs/Counter-Up/1.0/jquery.counterup.min.js"></script>
+<script src="//cdnjs.cloudflare.com/ajax/libs/jquery-parallax/1.1.3/jquery-parallax.js"></script>
+
+
+<script src="/js/front.js"></script>
+
+
+<script src="/js/owl.carousel.min.js"></script>
+
+
+
+
+
+
+<script async src="https://www.googletagmanager.com/gtag/js?id=G-T7GGPCXBBT"></script>
+<script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag('js', new Date());
+
+  gtag('config', 'G-T7GGPCXBBT');
+</script>
+
+  </body>
+</html>
diff --git a/public/index.xml b/public/index.xml
new file mode 100644
index 000000000..4e0bb8cec
--- /dev/null
+++ b/public/index.xml
@@ -0,0 +1,212 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/</link>
+    <description>Recent content on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Sat, 30 Sep 2023 17:29:06 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Solving Delta Table Concurrency Issues</title>
+      <link>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</guid>
+      <description>Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</description>
+    </item>
+    <item>
+      <title>Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</title>
+      <link>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</link>
+      <pubDate>Fri, 15 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</guid>
+      <description>Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&amp;rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</description>
+    </item>
+    <item>
+      <title>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</title>
+      <link>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</link>
+      <pubDate>Tue, 12 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</guid>
+      <description>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</description>
+    </item>
+    <item>
+      <title>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</title>
+      <link>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</guid>
+      <description>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp;amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</description>
+    </item>
+    <item>
+      <title>A Productive Life: How to Parallelize Code Execution in Python</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</link>
+      <pubDate>Sun, 23 Apr 2023 21:38:16 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</guid>
+      <description>A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</description>
+    </item>
+    <item>
+      <title>How to Cut Your Data Processing Costs by 30% with Graviton</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</link>
+      <pubDate>Sun, 23 Apr 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</guid>
+      <description>How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</description>
+    </item>
+    <item>
+      <title>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</link>
+      <pubDate>Wed, 19 Apr 2023 01:04:45 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</guid>
+      <description>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</description>
+    </item>
+    <item>
+      <title>How to write your first Spark application with Stream-Stream Joins with working code.</title>
+      <link>https://canadiandataguy.com/blog/spark-stream-stream-join/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/spark-stream-stream-join/</guid>
+      <description>How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</description>
+    </item>
+    <item>
+      <title>Dive Deep into Spark Streaming Checkpoint</title>
+      <link>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</link>
+      <pubDate>Tue, 21 Mar 2023 06:14:44 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</guid>
+      <description>From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</description>
+    </item>
+    <item>
+      <title>Delta Live Tables Advanced Q &amp; A</title>
+      <link>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</link>
+      <pubDate>Fri, 03 Mar 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</guid>
+      <description>Delta Live Tables Advanced Q &amp;amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</description>
+    </item>
+    <item>
+      <title>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</guid>
+      <description>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</description>
+    </item>
+    <item>
+      <title>How to get the Job ID and Run ID for a Databricks Job</title>
+      <link>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</guid>
+      <description>How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&amp;quot;&amp;quot;&amp;quot; job_id: {dbutils.</description>
+    </item>
+    <item>
+      <title>How to prepare yourself to be better at Data Interviews?</title>
+      <link>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</link>
+      <pubDate>Fri, 27 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</guid>
+      <description>How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp;amp; Big Data fundamentals. Here is how to prepare for each of them.</description>
+    </item>
+    <item>
+      <title>How I wrote my first Spark Streaming Application with Joins?</title>
+      <link>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</guid>
+      <description>How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</description>
+    </item>
+    <item>
+      <title>How to upgrade your Spark Stream application with a new checkpoint!</title>
+      <link>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</guid>
+      <description>How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</description>
+    </item>
+    <item>
+      <title>How to parameterize Delta Live Tables and import reusable functions</title>
+      <link>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</link>
+      <pubDate>Tue, 13 Dec 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</guid>
+      <description>How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</description>
+    </item>
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
+    </item>
+    <item>
+      <title>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</title>
+      <link>https://canadiandataguy.com/blog/arcresources/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/arcresources/</guid>
+      <description>ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+    <item>
+      <title>1 on 1 Interview Coaching</title>
+      <link>https://canadiandataguy.com/blog/1-on-1-coaching/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/1-on-1-coaching/</guid>
+      <description>Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp;amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</description>
+    </item>
+    <item>
+      <title>About Me</title>
+      <link>https://canadiandataguy.com/about-me/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/about-me/</guid>
+      <description>I am an end-to-end Full Stack Data Developer who can set up infrastructures, design the architecture, build data pipelines, and productionalize with DevOps. I have spent six years in AWS &amp;amp; Amazon as a Data Architect/Engineer and have a proven record of taking multi-petabyte workloads to production while ensuring minimum operational burden. I also have hands-on experience in Streaming and Batch Analytics, including real-time applications. Having worked remotely for around 6+ years, I’ve learned to avoid the pitfalls of distributed team communication.</description>
+    </item>
+    <item>
+      <title>Contact</title>
+      <link>https://canadiandataguy.com/contact/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/contact/</guid>
+      <description>Do you need Data Expertise? Does your company have a project that requires data engineering, data architecture or streaming expertise? Don&amp;rsquo;t hesitate to email us. We are happy to answer any questions or requests you may have. We can help with one-off projects or ongoing efforts to advance the shift to a more data-driven culture. Empower leaders and teams better to use data as a tool in the decision-making process.</description>
+    </item>
+    <item>
+      <title>Databricks Customer Stories</title>
+      <link>https://canadiandataguy.com/databricks-customer-success-stories/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/databricks-customer-success-stories/</guid>
+      <description>I have worked with multiple customers on their data journey. Here are some of the public stories that I have co-authored with them.
+Audantic To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution.</description>
+    </item>
+    <item>
+      <title>Youtube</title>
+      <link>https://canadiandataguy.com/blog/youtube/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/youtube/</guid>
+      <description> </description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/js/front.js b/public/js/front.js
new file mode 100644
index 000000000..b520584f9
--- /dev/null
+++ b/public/js/front.js
@@ -0,0 +1,386 @@
+/* global $this: true */
+/* eslint no-unused-vars: ["error", { "varsIgnorePattern": "animationsSlider" }] */
+
+if ($.cookie('themeCSSpath')) {
+  $('link#theme-stylesheet').attr('href', $.cookie('themeCSSpath'))
+}
+if ($.cookie('themeLayout')) {
+  $('body').addClass($.cookie('themeLayout'))
+}
+
+$(function () {
+  sliderHomepage()
+  sliders()
+  fullScreenContainer()
+  productDetailGallery(4000)
+  menuSliding()
+  menuMouseOver()
+  productDetailSizes()
+  utils()
+  animations()
+  counters()
+  demo()
+  contactFormAjax()
+})
+
+// Ajax contact
+function contactFormAjax () {
+  var form = $('.contact-form-ajax')
+  if (typeof form === 'undefined') return false
+  form.submit(function () {
+    $this = $(this)
+    $.post($(this).attr('action'),
+      $this.serialize(),
+      function () {
+        $this[0].reset() // clear form
+
+        $('#contact-message')
+          .html('<div class="alert alert-success" role="alert"><button type="button" class="close" data-dismiss="alert"><span aria-hidden="true">×</span><span class="sr-only">Close</span></button>Thank you for getting in touch. We will get back to you soon!</div>')
+          .fadeIn()
+      }
+      , 'json')
+    return false
+  })
+}
+
+/* for demo purpose only - can be deleted */
+function demo () {
+  if ($.cookie('themeCSSpath')) {
+    $('link#theme-stylesheet').attr('href', $.cookie('themeCSSpath'))
+  }
+
+  $('#colour').change(function () {
+    if ($(this).val() !== '') {
+      var themeCSSpath = 'css/style.' + $(this).val() + '.css'
+
+      $('link#theme-stylesheet').attr('href', themeCSSpath)
+
+      $.cookie('themeCSSpath', themeCSSpath, {expires: 365, path: '/'})
+    }
+
+    return false
+  })
+
+  $('#layout').change(function () {
+    if ($(this).val() !== '') {
+      var themeLayout = $(this).val()
+
+      $('body').removeClass('wide')
+      $('body').removeClass('boxed')
+
+      $('body').addClass(themeLayout)
+
+      $.cookie('themeLayout', themeLayout, {expires: 365, path: '/'})
+    }
+
+    return false
+  })
+}
+
+/* slider homepage */
+function sliderHomepage () {
+  if ($('#slider').length) {
+    // var owl = $('#slider')
+
+    $('#slider').owlCarousel({
+      autoPlay: 3000,
+      items: 4,
+      itemsDesktopSmall: [900, 3],
+      itemsTablet: [600, 3],
+      itemsMobile: [500, 2]
+    })
+  }
+}
+
+/* sliders */
+function sliders () {
+  if ($('.owl-carousel').length) {
+    $('.customers').owlCarousel({
+      items: ($('.customers').attr('data-items') || 6),
+      slideSpeed: ($('.customers').attr('data-slide-speed') || 2000),
+      paginationSpeed: ($('.customers').attr('data-pagination-speed') || 1000),
+      autoPlay: $('.customers').attr('data-autoplay') === 'true',
+      itemsDesktopSmall: [990, 4],
+      itemsTablet: [768, 2],
+      itemsMobile: [480, 1]
+    })
+
+    $('.testimonials').owlCarousel({
+      items: ($('.testimonials').attr('data-items') || 4),
+      slideSpeed: ($('.testimonials').attr('data-slide-speed') || 2000),
+      paginationSpeed: ($('.testimonials').attr('data-pagination-speed') || 1000),
+      autoPlay: $('.testimonials').attr('data-autoplay') === 'true',
+      itemsDesktopSmall: [990, 3],
+      itemsTablet: [768, 2],
+      itemsMobile: [480, 1]
+    })
+
+    $('.homepage').owlCarousel({
+      navigation: false, // Show next and prev buttons
+      navigationText: ['<i class="fas fa-angle-left"></i>', '<i class="fas fa-angle-right"></i>'],
+      slideSpeed: ($('.homepage').attr('data-slide-speed') || 2000),
+      paginationSpeed: ($('.homepage').attr('data-pagination-speed') || 1000),
+      autoPlay: ($('.homepage').attr('data-autoplay') || 'true') === 'true',
+      stopOnHover: true,
+      singleItem: true,
+      lazyLoad: false,
+      addClassActive: true,
+      afterInit: function () {
+        // animationsSlider()
+      },
+      afterMove: function () {
+        // animationsSlider()
+      }
+    })
+  }
+}
+
+/* menu sliding */
+function menuSliding () {
+  $('.dropdown').on('show.bs.dropdown', function () {
+    if ($(window).width() > 750) {
+      $(this).find('.dropdown-menu').first().stop(true, true).slideDown()
+    } else {
+      $(this).find('.dropdown-menu').first().stop(true, true).show()
+    }
+  })
+
+  $('.dropdown').on('hide.bs.dropdown', function () {
+    if ($(window).width() > 750) {
+      $(this).find('.dropdown-menu').first().stop(true, true).slideUp()
+    } else {
+      $(this).find('.dropdown-menu').first().stop(true, true).hide()
+    }
+  })
+}
+
+function menuMouseOver () {
+  $('.mouseover .dropdown').hover(function () {
+    $('.dropdown-toggle', this).trigger('click')
+  })
+}
+
+/* animations */
+function animations () {
+  var delayTime = 0
+  $('[data-animate]').css({opacity: '0'})
+  $('[data-animate]').waypoint(function () {
+    delayTime += 150
+    $(this).delay(delayTime).queue(function (next) {
+      $(this).toggleClass('animated')
+      $(this).toggleClass($(this).data('animate'))
+      delayTime = 0
+      next()
+      // $(this).removeClass('animated')
+      // $(this).toggleClass($(this).data('animate'))
+    })
+  }, {
+    offset: '90%',
+    triggerOnce: true
+  })
+
+  $('[data-animate-hover]').hover(function () {
+    $(this).css({opacity: 1})
+    $(this).addClass('animated')
+    $(this).removeClass($(this).data('animate'))
+    $(this).addClass($(this).data('animate-hover'))
+  }, function () {
+    $(this).removeClass('animated')
+    $(this).removeClass($(this).data('animate-hover'))
+  })
+}
+
+function animationsSlider () {
+  var delayTimeSlider = 400
+
+  $('.owl-item:not(.active) [data-animate-always]').each(function () {
+    $(this).removeClass('animated')
+    $(this).removeClass($(this).data('animate-always'))
+    $(this).stop(true, true, true).css({opacity: 0})
+  })
+
+  $('.owl-item.active [data-animate-always]').each(function () {
+    delayTimeSlider += 500
+
+    $(this).delay(delayTimeSlider).queue(function () {
+      $(this).addClass('animated')
+      $(this).addClass($(this).data('animate-always'))
+
+      console.log($(this).data('animate-always'))
+    })
+  })
+}
+
+/* counters */
+function counters () {
+  $('.counter').counterUp({
+    delay: 10,
+    time: 1000
+  })
+}
+
+/* picture zoom */
+function pictureZoom () {
+  $('.product .image, .post .image, .photostream div').each(function () {
+    var imgHeight = $(this).find('img').height()
+    if (imgHeight) {
+      $(this).height(imgHeight)
+    }
+  })
+}
+
+/* full screen intro */
+function fullScreenContainer () {
+  var screenWidth = $(window).width() + 'px'
+  var screenHeight = '500px'
+
+  if ($(window).height() > 500) {
+    screenHeight = $(window).height() + 'px'
+  }
+
+  $('#intro, #intro .item').css({
+    width: screenWidth,
+    height: screenHeight
+  })
+}
+
+function utils () {
+  /* tooltips */
+  $('[data-toggle="tooltip"]').tooltip()
+
+  /* click on the box activates the radio */
+  $('#checkout').on('click', '.box.shipping-method, .box.payment-method', function () {
+    var radio = $(this).find(':radio')
+    radio.prop('checked', true)
+  })
+
+  /* click on the box activates the link in it */
+  $('.box.clickable').on('click', function () {
+    window.location = $(this).find('a').attr('href')
+  })
+
+  /* external links in new window */
+  $('.external').on('click', function (e) {
+    e.preventDefault()
+    window.open($(this).attr('href'))
+  })
+
+  /* animated scrolling */
+  $('.scroll-to, .scroll-to-top').click(function (event) {
+    var fullUrl = this.href
+    var parts = fullUrl.split('#')
+
+    if (parts.length > 1) {
+      scrollTo(fullUrl)
+      event.preventDefault()
+    }
+  })
+
+  function scrollTo (fullUrl) {
+    var parts = fullUrl.split('#')
+    var trgt = parts[1]
+    var targetOffset = $('#' + trgt).offset()
+    var targetTop = targetOffset.top - 100
+
+    if (targetTop < 0) {
+      targetTop = 0
+    }
+
+    $('html, body').animate({
+      scrollTop: targetTop
+    }, 1000)
+  }
+}
+
+/* product detail gallery */
+function productDetailGallery (confDetailSwitch) {
+  $('.thumb:first').addClass('active')
+  var timer = setInterval(autoSwitch, confDetailSwitch)
+
+  $('.thumb').click(function (e) {
+    switchImage($(this))
+    clearInterval(timer)
+    timer = setInterval(autoSwitch, confDetailSwitch)
+    e.preventDefault()
+  })
+
+  $('#mainImage').hover(function () {
+    clearInterval(timer)
+  }, function () {
+    timer = setInterval(autoSwitch, confDetailSwitch)
+  })
+
+  function autoSwitch () {
+    var nextThumb = $('.thumb.active').closest('div').next('div').find('.thumb')
+    if (nextThumb.length === 0) {
+      nextThumb = $('.thumb:first')
+    }
+    switchImage(nextThumb)
+  }
+
+  function switchImage (thumb) {
+    $('.thumb').removeClass('active')
+    var bigUrl = thumb.attr('href')
+    thumb.addClass('active')
+    $('#mainImage img').attr('src', bigUrl)
+  }
+}
+
+/* product detail sizes */
+function productDetailSizes () {
+  $('.sizes a').click(function (e) {
+    e.preventDefault()
+    $('.sizes a').removeClass('active')
+    $('.size-input').prop('checked', false)
+    $(this).addClass('active')
+    $(this).next('input').prop('checked', true)
+  })
+}
+
+$.fn.alignElementsSameHeight = function () {
+  $('.same-height-row').each(function () {
+    var maxHeight = 0
+    var children = $(this).find('.same-height')
+    children.height('auto')
+
+    if ($(window).width() > 768) {
+      children.each(function () {
+        if ($(this).innerHeight() > maxHeight) {
+          maxHeight = $(this).innerHeight()
+        }
+      })
+      children.innerHeight(maxHeight)
+    }
+
+    maxHeight = 0
+    children = $(this).find('.same-height-always')
+    children.height('auto')
+    children.each(function () {
+      if ($(this).height() > maxHeight) {
+        maxHeight = $(this).innerHeight()
+      }
+    })
+    children.innerHeight(maxHeight)
+  })
+}
+
+var windowWidth
+$(function () {
+  windowWidth = $(window).width()
+
+  $(this).alignElementsSameHeight()
+  pictureZoom()
+})
+
+$(window).resize(function () {
+  var newWindowWidth = $(window).width()
+
+  if (windowWidth !== newWindowWidth) {
+    setTimeout(function () {
+      $(this).alignElementsSameHeight()
+      fullScreenContainer()
+      pictureZoom()
+    }, 205)
+    windowWidth = newWindowWidth
+  }
+})
diff --git a/public/js/gmaps.init.js b/public/js/gmaps.init.js
new file mode 100644
index 000000000..2227dda92
--- /dev/null
+++ b/public/js/gmaps.init.js
@@ -0,0 +1,71 @@
+/* global GMaps: true */
+
+$(document).ready(function () {
+  map()
+})
+
+function map () {
+  if ($('#map').length) {
+    var lat = $('#gmap-lat').val()
+    var lng = $('#gmap-lng').val()
+    var direction = $('#gmap-dir').val()
+    var image = $('#gmap-marker').val()
+
+    var styles =
+      [
+        {
+          'featureType': 'landscape', 'stylers': [{'saturation': -100}, {'lightness': 65}, {'visibility': 'on'}]
+        }, {
+          'featureType': 'poi', 'stylers': [{'saturation': -100}, {'lightness': 51}, {'visibility': 'simplified'}]
+        }, {
+          'featureType': 'road.highway', 'stylers': [{'saturation': -100}, {'visibility': 'simplified'}]
+        }, {
+          'featureType': 'road.arterial', 'stylers': [{'saturation': -100}, {'lightness': 30}, {'visibility': 'on'}]
+        }, {
+          'featureType': 'road.local', 'stylers': [{'saturation': -100}, {'lightness': 40}, {'visibility': 'on'}]
+        }, {
+          'featureType': 'transit', 'stylers': [{'saturation': -100}, {'visibility': 'simplified'}]
+        }, {
+          'featureType': 'administrative.province', 'stylers': [{'visibility': 'off'}]
+        }, {
+          'featureType': 'water', 'elementType': 'labels', 'stylers': [{'visibility': 'on'}, {'lightness': -25}, {'saturation': -100}]
+        }, {
+          'featureType': 'water', 'elementType': 'geometry', 'stylers': [{'hue': '#ffff00'}, {'lightness': -25}, {'saturation': -97}]
+        }
+      ]
+
+    var map = new GMaps({
+      el: '#map',
+      lat: lat,
+      lng: lng,
+      zoomControl: true,
+      zoomControlOpt: {
+        style: 'SMALL',
+        position: 'TOP_LEFT'
+      },
+      panControl: false,
+      streetViewControl: false,
+      mapTypeControl: false,
+      overviewMapControl: false,
+      scrollwheel: false,
+      draggable: false,
+      styles: styles
+    })
+
+    map.addMarker({
+      lat: lat,
+      lng: lng,
+      icon: image,
+      click: function (e) {
+        // when we get an address with spaces ...
+        var url = 'https://maps.google.com?daddr=' + direction.split('match').join('replace')
+        window.open(url, '_blank')
+      },
+      title: direction
+      /* ,
+      infoWindow: {
+      content: '<p>HTML Content</p>'
+      } */
+    })
+  }
+}
diff --git a/public/js/hpneo.gmaps.js b/public/js/hpneo.gmaps.js
new file mode 100644
index 000000000..66b4959de
--- /dev/null
+++ b/public/js/hpneo.gmaps.js
@@ -0,0 +1,2132 @@
+(function(root, factory) {
+  if(typeof exports === 'object') {
+    module.exports = factory();
+  }
+  else if(typeof define === 'function' && define.amd) {
+    define('GMaps', [], factory);
+  }
+
+  root.GMaps = factory();
+
+}(this, function() {
+
+/*!
+ * GMaps.js v0.4.15
+ * http://hpneo.github.com/gmaps/
+ *
+ * Copyright 2014, Gustavo Leon
+ * Released under the MIT License.
+ */
+
+if (!(typeof window.google === 'object' && window.google.maps)) {
+  throw 'Google Maps API is required. Please register the following JavaScript library http://maps.google.com/maps/api/js?sensor=true.'
+}
+
+var extend_object = function(obj, new_obj) {
+  var name;
+
+  if (obj === new_obj) {
+    return obj;
+  }
+
+  for (name in new_obj) {
+    obj[name] = new_obj[name];
+  }
+
+  return obj;
+};
+
+var replace_object = function(obj, replace) {
+  var name;
+
+  if (obj === replace) {
+    return obj;
+  }
+
+  for (name in replace) {
+    if (obj[name] != undefined) {
+      obj[name] = replace[name];
+    }
+  }
+
+  return obj;
+};
+
+var array_map = function(array, callback) {
+  var original_callback_params = Array.prototype.slice.call(arguments, 2),
+      array_return = [],
+      array_length = array.length,
+      i;
+
+  if (Array.prototype.map && array.map === Array.prototype.map) {
+    array_return = Array.prototype.map.call(array, function(item) {
+      callback_params = original_callback_params;
+      callback_params.splice(0, 0, item);
+
+      return callback.apply(this, callback_params);
+    });
+  }
+  else {
+    for (i = 0; i < array_length; i++) {
+      callback_params = original_callback_params;
+      callback_params.splice(0, 0, array[i]);
+      array_return.push(callback.apply(this, callback_params));
+    }
+  }
+
+  return array_return;
+};
+
+var array_flat = function(array) {
+  var new_array = [],
+      i;
+
+  for (i = 0; i < array.length; i++) {
+    new_array = new_array.concat(array[i]);
+  }
+
+  return new_array;
+};
+
+var coordsToLatLngs = function(coords, useGeoJSON) {
+  var first_coord = coords[0],
+      second_coord = coords[1];
+
+  if (useGeoJSON) {
+    first_coord = coords[1];
+    second_coord = coords[0];
+  }
+
+  return new google.maps.LatLng(first_coord, second_coord);
+};
+
+var arrayToLatLng = function(coords, useGeoJSON) {
+  var i;
+
+  for (i = 0; i < coords.length; i++) {
+    if (!(coords[i] instanceof google.maps.LatLng)) {
+      if (coords[i].length > 0 && typeof(coords[i][0]) == "object") {
+        coords[i] = arrayToLatLng(coords[i], useGeoJSON);
+      }
+      else {
+        coords[i] = coordsToLatLngs(coords[i], useGeoJSON);
+      }
+    }
+  }
+
+  return coords;
+};
+
+var getElementById = function(id, context) {
+  var element,
+  id = id.replace('#', '');
+
+  if ('jQuery' in this && context) {
+    element = $("#" + id, context)[0];
+  } else {
+    element = document.getElementById(id);
+  };
+
+  return element;
+};
+
+var findAbsolutePosition = function(obj)  {
+  var curleft = 0,
+      curtop = 0;
+
+  if (obj.offsetParent) {
+    do {
+      curleft += obj.offsetLeft;
+      curtop += obj.offsetTop;
+    } while (obj = obj.offsetParent);
+  }
+
+  return [curleft, curtop];
+};
+
+var GMaps = (function(global) {
+  "use strict";
+
+  var doc = document;
+
+  var GMaps = function(options) {
+    if (!this) return new GMaps(options);
+
+    options.zoom = options.zoom || 15;
+    options.mapType = options.mapType || 'roadmap';
+
+    var self = this,
+        i,
+        events_that_hide_context_menu = ['bounds_changed', 'center_changed', 'click', 'dblclick', 'drag', 'dragend', 'dragstart', 'idle', 'maptypeid_changed', 'projection_changed', 'resize', 'tilesloaded', 'zoom_changed'],
+        events_that_doesnt_hide_context_menu = ['mousemove', 'mouseout', 'mouseover'],
+        options_to_be_deleted = ['el', 'lat', 'lng', 'mapType', 'width', 'height', 'markerClusterer', 'enableNewStyle'],
+        container_id = options.el || options.div,
+        markerClustererFunction = options.markerClusterer,
+        mapType = google.maps.MapTypeId[options.mapType.toUpperCase()],
+        map_center = new google.maps.LatLng(options.lat, options.lng),
+        zoomControl = options.zoomControl || true,
+        zoomControlOpt = options.zoomControlOpt || {
+          style: 'DEFAULT',
+          position: 'TOP_LEFT'
+        },
+        zoomControlStyle = zoomControlOpt.style || 'DEFAULT',
+        zoomControlPosition = zoomControlOpt.position || 'TOP_LEFT',
+        panControl = options.panControl || true,
+        mapTypeControl = options.mapTypeControl || true,
+        scaleControl = options.scaleControl || true,
+        streetViewControl = options.streetViewControl || true,
+        overviewMapControl = overviewMapControl || true,
+        map_options = {},
+        map_base_options = {
+          zoom: this.zoom,
+          center: map_center,
+          mapTypeId: mapType
+        },
+        map_controls_options = {
+          panControl: panControl,
+          zoomControl: zoomControl,
+          zoomControlOptions: {
+            style: google.maps.ZoomControlStyle[zoomControlStyle],
+            position: google.maps.ControlPosition[zoomControlPosition]
+          },
+          mapTypeControl: mapTypeControl,
+          scaleControl: scaleControl,
+          streetViewControl: streetViewControl,
+          overviewMapControl: overviewMapControl
+        };
+
+    if (typeof(options.el) === 'string' || typeof(options.div) === 'string') {
+      this.el = getElementById(container_id, options.context);
+    } else {
+      this.el = container_id;
+    }
+
+    if (typeof(this.el) === 'undefined' || this.el === null) {
+      throw 'No element defined.';
+    }
+
+    window.context_menu = window.context_menu || {};
+    window.context_menu[self.el.id] = {};
+
+    this.controls = [];
+    this.overlays = [];
+    this.layers = []; // array with kml/georss and fusiontables layers, can be as many
+    this.singleLayers = {}; // object with the other layers, only one per layer
+    this.markers = [];
+    this.polylines = [];
+    this.routes = [];
+    this.polygons = [];
+    this.infoWindow = null;
+    this.overlay_el = null;
+    this.zoom = options.zoom;
+    this.registered_events = {};
+
+    this.el.style.width = options.width || this.el.scrollWidth || this.el.offsetWidth;
+    this.el.style.height = options.height || this.el.scrollHeight || this.el.offsetHeight;
+
+    google.maps.visualRefresh = options.enableNewStyle;
+
+    for (i = 0; i < options_to_be_deleted.length; i++) {
+      delete options[options_to_be_deleted[i]];
+    }
+
+    if(options.disableDefaultUI != true) {
+      map_base_options = extend_object(map_base_options, map_controls_options);
+    }
+
+    map_options = extend_object(map_base_options, options);
+
+    for (i = 0; i < events_that_hide_context_menu.length; i++) {
+      delete map_options[events_that_hide_context_menu[i]];
+    }
+
+    for (i = 0; i < events_that_doesnt_hide_context_menu.length; i++) {
+      delete map_options[events_that_doesnt_hide_context_menu[i]];
+    }
+
+    this.map = new google.maps.Map(this.el, map_options);
+
+    if (markerClustererFunction) {
+      this.markerClusterer = markerClustererFunction.apply(this, [this.map]);
+    }
+
+    var buildContextMenuHTML = function(control, e) {
+      var html = '',
+          options = window.context_menu[self.el.id][control];
+
+      for (var i in options){
+        if (options.hasOwnProperty(i)) {
+          var option = options[i];
+
+          html += '<li><a id="' + control + '_' + i + '" href="#">' + option.title + '</a></li>';
+        }
+      }
+
+      if (!getElementById('gmaps_context_menu')) return;
+
+      var context_menu_element = getElementById('gmaps_context_menu');
+      
+      context_menu_element.innerHTML = html;
+
+      var context_menu_items = context_menu_element.getElementsByTagName('a'),
+          context_menu_items_count = context_menu_items.length,
+          i;
+
+      for (i = 0; i < context_menu_items_count; i++) {
+        var context_menu_item = context_menu_items[i];
+
+        var assign_menu_item_action = function(ev){
+          ev.preventDefault();
+
+          options[this.id.replace(control + '_', '')].action.apply(self, [e]);
+          self.hideContextMenu();
+        };
+
+        google.maps.event.clearListeners(context_menu_item, 'click');
+        google.maps.event.addDomListenerOnce(context_menu_item, 'click', assign_menu_item_action, false);
+      }
+
+      var position = findAbsolutePosition.apply(this, [self.el]),
+          left = position[0] + e.pixel.x - 15,
+          top = position[1] + e.pixel.y- 15;
+
+      context_menu_element.style.left = left + "px";
+      context_menu_element.style.top = top + "px";
+
+      context_menu_element.style.display = 'block';
+    };
+
+    this.buildContextMenu = function(control, e) {
+      if (control === 'marker') {
+        e.pixel = {};
+
+        var overlay = new google.maps.OverlayView();
+        overlay.setMap(self.map);
+        
+        overlay.draw = function() {
+          var projection = overlay.getProjection(),
+              position = e.marker.getPosition();
+          
+          e.pixel = projection.fromLatLngToContainerPixel(position);
+
+          buildContextMenuHTML(control, e);
+        };
+      }
+      else {
+        buildContextMenuHTML(control, e);
+      }
+    };
+
+    this.setContextMenu = function(options) {
+      window.context_menu[self.el.id][options.control] = {};
+
+      var i,
+          ul = doc.createElement('ul');
+
+      for (i in options.options) {
+        if (options.options.hasOwnProperty(i)) {
+          var option = options.options[i];
+
+          window.context_menu[self.el.id][options.control][option.name] = {
+            title: option.title,
+            action: option.action
+          };
+        }
+      }
+
+      ul.id = 'gmaps_context_menu';
+      ul.style.display = 'none';
+      ul.style.position = 'absolute';
+      ul.style.minWidth = '100px';
+      ul.style.background = 'white';
+      ul.style.listStyle = 'none';
+      ul.style.padding = '8px';
+      ul.style.boxShadow = '2px 2px 6px #ccc';
+
+      doc.body.appendChild(ul);
+
+      var context_menu_element = getElementById('gmaps_context_menu')
+
+      google.maps.event.addDomListener(context_menu_element, 'mouseout', function(ev) {
+        if (!ev.relatedTarget || !this.contains(ev.relatedTarget)) {
+          window.setTimeout(function(){
+            context_menu_element.style.display = 'none';
+          }, 400);
+        }
+      }, false);
+    };
+
+    this.hideContextMenu = function() {
+      var context_menu_element = getElementById('gmaps_context_menu');
+
+      if (context_menu_element) {
+        context_menu_element.style.display = 'none';
+      }
+    };
+
+    var setupListener = function(object, name) {
+      google.maps.event.addListener(object, name, function(e){
+        if (e == undefined) {
+          e = this;
+        }
+
+        options[name].apply(this, [e]);
+
+        self.hideContextMenu();
+      });
+    };
+
+    //google.maps.event.addListener(this.map, 'idle', this.hideContextMenu);
+    google.maps.event.addListener(this.map, 'zoom_changed', this.hideContextMenu);
+
+    for (var ev = 0; ev < events_that_hide_context_menu.length; ev++) {
+      var name = events_that_hide_context_menu[ev];
+
+      if (name in options) {
+        setupListener(this.map, name);
+      }
+    }
+
+    for (var ev = 0; ev < events_that_doesnt_hide_context_menu.length; ev++) {
+      var name = events_that_doesnt_hide_context_menu[ev];
+
+      if (name in options) {
+        setupListener(this.map, name);
+      }
+    }
+
+    google.maps.event.addListener(this.map, 'rightclick', function(e) {
+      if (options.rightclick) {
+        options.rightclick.apply(this, [e]);
+      }
+
+      if(window.context_menu[self.el.id]['map'] != undefined) {
+        self.buildContextMenu('map', e);
+      }
+    });
+
+    this.refresh = function() {
+      google.maps.event.trigger(this.map, 'resize');
+    };
+
+    this.fitZoom = function() {
+      var latLngs = [],
+          markers_length = this.markers.length,
+          i;
+
+      for (i = 0; i < markers_length; i++) {
+        if(typeof(this.markers[i].visible) === 'boolean' && this.markers[i].visible) {
+          latLngs.push(this.markers[i].getPosition());
+        }
+      }
+
+      this.fitLatLngBounds(latLngs);
+    };
+
+    this.fitLatLngBounds = function(latLngs) {
+      var total = latLngs.length;
+      var bounds = new google.maps.LatLngBounds();
+
+      for(var i=0; i < total; i++) {
+        bounds.extend(latLngs[i]);
+      }
+
+      this.map.fitBounds(bounds);
+    };
+
+    this.setCenter = function(lat, lng, callback) {
+      this.map.panTo(new google.maps.LatLng(lat, lng));
+
+      if (callback) {
+        callback();
+      }
+    };
+
+    this.getElement = function() {
+      return this.el;
+    };
+
+    this.zoomIn = function(value) {
+      value = value || 1;
+
+      this.zoom = this.map.getZoom() + value;
+      this.map.setZoom(this.zoom);
+    };
+
+    this.zoomOut = function(value) {
+      value = value || 1;
+
+      this.zoom = this.map.getZoom() - value;
+      this.map.setZoom(this.zoom);
+    };
+
+    var native_methods = [],
+        method;
+
+    for (method in this.map) {
+      if (typeof(this.map[method]) == 'function' && !this[method]) {
+        native_methods.push(method);
+      }
+    }
+
+    for (i=0; i < native_methods.length; i++) {
+      (function(gmaps, scope, method_name) {
+        gmaps[method_name] = function(){
+          return scope[method_name].apply(scope, arguments);
+        };
+      })(this, this.map, native_methods[i]);
+    }
+  };
+
+  return GMaps;
+})(this);
+
+GMaps.prototype.createControl = function(options) {
+  var control = document.createElement('div');
+
+  control.style.cursor = 'pointer';
+  
+  if (options.disableDefaultStyles !== true) {
+    control.style.fontFamily = 'Roboto, Arial, sans-serif';
+    control.style.fontSize = '11px';
+    control.style.boxShadow = 'rgba(0, 0, 0, 0.298039) 0px 1px 4px -1px';
+  }
+
+  for (var option in options.style) {
+    control.style[option] = options.style[option];
+  }
+
+  if (options.id) {
+    control.id = options.id;
+  }
+
+  if (options.classes) {
+    control.className = options.classes;
+  }
+
+  if (options.content) {
+    if (typeof options.content === 'string') {
+      control.innerHTML = options.content;
+    }
+    else if (options.content instanceof HTMLElement) {
+      control.appendChild(options.content);
+    }
+  }
+
+  if (options.position) {
+    control.position = google.maps.ControlPosition[options.position.toUpperCase()];
+  }
+
+  for (var ev in options.events) {
+    (function(object, name) {
+      google.maps.event.addDomListener(object, name, function(){
+        options.events[name].apply(this, [this]);
+      });
+    })(control, ev);
+  }
+
+  control.index = 1;
+
+  return control;
+};
+
+GMaps.prototype.addControl = function(options) {
+  var control = this.createControl(options);
+  this.controls.push(control);
+  this.map.controls[control.position].push(control);
+
+  return control;
+};
+
+GMaps.prototype.removeControl = function(control) {
+  var position = null;
+
+  for (var i = 0; i < this.controls.length; i++) {
+    if (this.controls[i] == control) {
+      position = this.controls[i].position;
+      this.controls.splice(i, 1);
+    }
+  }
+
+  if (position) {
+    for (i = 0; i < this.map.controls.length; i++) {
+      var controlsForPosition = this.map.controls[control.position]
+      if (controlsForPosition.getAt(i) == control) {
+        controlsForPosition.removeAt(i);
+        break;
+      }
+    }
+  }
+
+  return control;
+};
+
+GMaps.prototype.createMarker = function(options) {
+  if (options.lat == undefined && options.lng == undefined && options.position == undefined) {
+    throw 'No latitude or longitude defined.';
+  }
+
+  var self = this,
+      details = options.details,
+      fences = options.fences,
+      outside = options.outside,
+      base_options = {
+        position: new google.maps.LatLng(options.lat, options.lng),
+        map: null
+      },
+      marker_options = extend_object(base_options, options);
+
+  delete marker_options.lat;
+  delete marker_options.lng;
+  delete marker_options.fences;
+  delete marker_options.outside;
+
+  var marker = new google.maps.Marker(marker_options);
+
+  marker.fences = fences;
+
+  if (options.infoWindow) {
+    marker.infoWindow = new google.maps.InfoWindow(options.infoWindow);
+
+    var info_window_events = ['closeclick', 'content_changed', 'domready', 'position_changed', 'zindex_changed'];
+
+    for (var ev = 0; ev < info_window_events.length; ev++) {
+      (function(object, name) {
+        if (options.infoWindow[name]) {
+          google.maps.event.addListener(object, name, function(e){
+            options.infoWindow[name].apply(this, [e]);
+          });
+        }
+      })(marker.infoWindow, info_window_events[ev]);
+    }
+  }
+
+  var marker_events = ['animation_changed', 'clickable_changed', 'cursor_changed', 'draggable_changed', 'flat_changed', 'icon_changed', 'position_changed', 'shadow_changed', 'shape_changed', 'title_changed', 'visible_changed', 'zindex_changed'];
+
+  var marker_events_with_mouse = ['dblclick', 'drag', 'dragend', 'dragstart', 'mousedown', 'mouseout', 'mouseover', 'mouseup'];
+
+  for (var ev = 0; ev < marker_events.length; ev++) {
+    (function(object, name) {
+      if (options[name]) {
+        google.maps.event.addListener(object, name, function(){
+          options[name].apply(this, [this]);
+        });
+      }
+    })(marker, marker_events[ev]);
+  }
+
+  for (var ev = 0; ev < marker_events_with_mouse.length; ev++) {
+    (function(map, object, name) {
+      if (options[name]) {
+        google.maps.event.addListener(object, name, function(me){
+          if(!me.pixel){
+            me.pixel = map.getProjection().fromLatLngToPoint(me.latLng)
+          }
+          
+          options[name].apply(this, [me]);
+        });
+      }
+    })(this.map, marker, marker_events_with_mouse[ev]);
+  }
+
+  google.maps.event.addListener(marker, 'click', function() {
+    this.details = details;
+
+    if (options.click) {
+      options.click.apply(this, [this]);
+    }
+
+    if (marker.infoWindow) {
+      self.hideInfoWindows();
+      marker.infoWindow.open(self.map, marker);
+    }
+  });
+
+  google.maps.event.addListener(marker, 'rightclick', function(e) {
+    e.marker = this;
+
+    if (options.rightclick) {
+      options.rightclick.apply(this, [e]);
+    }
+
+    if (window.context_menu[self.el.id]['marker'] != undefined) {
+      self.buildContextMenu('marker', e);
+    }
+  });
+
+  if (marker.fences) {
+    google.maps.event.addListener(marker, 'dragend', function() {
+      self.checkMarkerGeofence(marker, function(m, f) {
+        outside(m, f);
+      });
+    });
+  }
+
+  return marker;
+};
+
+GMaps.prototype.addMarker = function(options) {
+  var marker;
+  if(options.hasOwnProperty('gm_accessors_')) {
+    // Native google.maps.Marker object
+    marker = options;
+  }
+  else {
+    if ((options.hasOwnProperty('lat') && options.hasOwnProperty('lng')) || options.position) {
+      marker = this.createMarker(options);
+    }
+    else {
+      throw 'No latitude or longitude defined.';
+    }
+  }
+
+  marker.setMap(this.map);
+
+  if(this.markerClusterer) {
+    this.markerClusterer.addMarker(marker);
+  }
+
+  this.markers.push(marker);
+
+  GMaps.fire('marker_added', marker, this);
+
+  return marker;
+};
+
+GMaps.prototype.addMarkers = function(array) {
+  for (var i = 0, marker; marker=array[i]; i++) {
+    this.addMarker(marker);
+  }
+
+  return this.markers;
+};
+
+GMaps.prototype.hideInfoWindows = function() {
+  for (var i = 0, marker; marker = this.markers[i]; i++){
+    if (marker.infoWindow) {
+      marker.infoWindow.close();
+    }
+  }
+};
+
+GMaps.prototype.removeMarker = function(marker) {
+  for (var i = 0; i < this.markers.length; i++) {
+    if (this.markers[i] === marker) {
+      this.markers[i].setMap(null);
+      this.markers.splice(i, 1);
+
+      if(this.markerClusterer) {
+        this.markerClusterer.removeMarker(marker);
+      }
+
+      GMaps.fire('marker_removed', marker, this);
+
+      break;
+    }
+  }
+
+  return marker;
+};
+
+GMaps.prototype.removeMarkers = function (collection) {
+  var new_markers = [];
+
+  if (typeof collection == 'undefined') {
+    for (var i = 0; i < this.markers.length; i++) {
+      this.markers[i].setMap(null);
+    }
+    
+    this.markers = new_markers;
+  }
+  else {
+    for (var i = 0; i < collection.length; i++) {
+      if (this.markers.indexOf(collection[i]) > -1) {
+        this.markers[i].setMap(null);
+      }
+    }
+
+    for (var i = 0; i < this.markers.length; i++) {
+      if (this.markers[i].getMap() != null) {
+        new_markers.push(this.markers[i]);
+      }
+    }
+
+    this.markers = new_markers;
+  }
+};
+
+GMaps.prototype.drawOverlay = function(options) {
+  var overlay = new google.maps.OverlayView(),
+      auto_show = true;
+
+  overlay.setMap(this.map);
+
+  if (options.auto_show != null) {
+    auto_show = options.auto_show;
+  }
+
+  overlay.onAdd = function() {
+    var el = document.createElement('div');
+
+    el.style.borderStyle = "none";
+    el.style.borderWidth = "0px";
+    el.style.position = "absolute";
+    el.style.zIndex = 100;
+    el.innerHTML = options.content;
+
+    overlay.el = el;
+
+    if (!options.layer) {
+      options.layer = 'overlayLayer';
+    }
+    
+    var panes = this.getPanes(),
+        overlayLayer = panes[options.layer],
+        stop_overlay_events = ['contextmenu', 'DOMMouseScroll', 'dblclick', 'mousedown'];
+
+    overlayLayer.appendChild(el);
+
+    for (var ev = 0; ev < stop_overlay_events.length; ev++) {
+      (function(object, name) {
+        google.maps.event.addDomListener(object, name, function(e){
+          if (navigator.userAgent.toLowerCase().indexOf('msie') != -1 && document.all) {
+            e.cancelBubble = true;
+            e.returnValue = false;
+          }
+          else {
+            e.stopPropagation();
+          }
+        });
+      })(el, stop_overlay_events[ev]);
+    }
+
+    if (options.click) {
+      panes.overlayMouseTarget.appendChild(overlay.el);
+      google.maps.event.addDomListener(overlay.el, 'click', function() {
+        options.click.apply(overlay, [overlay]);
+      });
+    }
+
+    google.maps.event.trigger(this, 'ready');
+  };
+
+  overlay.draw = function() {
+    var projection = this.getProjection(),
+        pixel = projection.fromLatLngToDivPixel(new google.maps.LatLng(options.lat, options.lng));
+
+    options.horizontalOffset = options.horizontalOffset || 0;
+    options.verticalOffset = options.verticalOffset || 0;
+
+    var el = overlay.el,
+        content = el.children[0],
+        content_height = content.clientHeight,
+        content_width = content.clientWidth;
+
+    switch (options.verticalAlign) {
+      case 'top':
+        el.style.top = (pixel.y - content_height + options.verticalOffset) + 'px';
+        break;
+      default:
+      case 'middle':
+        el.style.top = (pixel.y - (content_height / 2) + options.verticalOffset) + 'px';
+        break;
+      case 'bottom':
+        el.style.top = (pixel.y + options.verticalOffset) + 'px';
+        break;
+    }
+
+    switch (options.horizontalAlign) {
+      case 'left':
+        el.style.left = (pixel.x - content_width + options.horizontalOffset) + 'px';
+        break;
+      default:
+      case 'center':
+        el.style.left = (pixel.x - (content_width / 2) + options.horizontalOffset) + 'px';
+        break;
+      case 'right':
+        el.style.left = (pixel.x + options.horizontalOffset) + 'px';
+        break;
+    }
+
+    el.style.display = auto_show ? 'block' : 'none';
+
+    if (!auto_show) {
+      options.show.apply(this, [el]);
+    }
+  };
+
+  overlay.onRemove = function() {
+    var el = overlay.el;
+
+    if (options.remove) {
+      options.remove.apply(this, [el]);
+    }
+    else {
+      overlay.el.parentNode.removeChild(overlay.el);
+      overlay.el = null;
+    }
+  };
+
+  this.overlays.push(overlay);
+  return overlay;
+};
+
+GMaps.prototype.removeOverlay = function(overlay) {
+  for (var i = 0; i < this.overlays.length; i++) {
+    if (this.overlays[i] === overlay) {
+      this.overlays[i].setMap(null);
+      this.overlays.splice(i, 1);
+
+      break;
+    }
+  }
+};
+
+GMaps.prototype.removeOverlays = function() {
+  for (var i = 0, item; item = this.overlays[i]; i++) {
+    item.setMap(null);
+  }
+
+  this.overlays = [];
+};
+
+GMaps.prototype.drawPolyline = function(options) {
+  var path = [],
+      points = options.path;
+
+  if (points.length) {
+    if (points[0][0] === undefined) {
+      path = points;
+    }
+    else {
+      for (var i=0, latlng; latlng=points[i]; i++) {
+        path.push(new google.maps.LatLng(latlng[0], latlng[1]));
+      }
+    }
+  }
+
+  var polyline_options = {
+    map: this.map,
+    path: path,
+    strokeColor: options.strokeColor,
+    strokeOpacity: options.strokeOpacity,
+    strokeWeight: options.strokeWeight,
+    geodesic: options.geodesic,
+    clickable: true,
+    editable: false,
+    visible: true
+  };
+
+  if (options.hasOwnProperty("clickable")) {
+    polyline_options.clickable = options.clickable;
+  }
+
+  if (options.hasOwnProperty("editable")) {
+    polyline_options.editable = options.editable;
+  }
+
+  if (options.hasOwnProperty("icons")) {
+    polyline_options.icons = options.icons;
+  }
+
+  if (options.hasOwnProperty("zIndex")) {
+    polyline_options.zIndex = options.zIndex;
+  }
+
+  var polyline = new google.maps.Polyline(polyline_options);
+
+  var polyline_events = ['click', 'dblclick', 'mousedown', 'mousemove', 'mouseout', 'mouseover', 'mouseup', 'rightclick'];
+
+  for (var ev = 0; ev < polyline_events.length; ev++) {
+    (function(object, name) {
+      if (options[name]) {
+        google.maps.event.addListener(object, name, function(e){
+          options[name].apply(this, [e]);
+        });
+      }
+    })(polyline, polyline_events[ev]);
+  }
+
+  this.polylines.push(polyline);
+
+  GMaps.fire('polyline_added', polyline, this);
+
+  return polyline;
+};
+
+GMaps.prototype.removePolyline = function(polyline) {
+  for (var i = 0; i < this.polylines.length; i++) {
+    if (this.polylines[i] === polyline) {
+      this.polylines[i].setMap(null);
+      this.polylines.splice(i, 1);
+
+      GMaps.fire('polyline_removed', polyline, this);
+
+      break;
+    }
+  }
+};
+
+GMaps.prototype.removePolylines = function() {
+  for (var i = 0, item; item = this.polylines[i]; i++) {
+    item.setMap(null);
+  }
+
+  this.polylines = [];
+};
+
+GMaps.prototype.drawCircle = function(options) {
+  options =  extend_object({
+    map: this.map,
+    center: new google.maps.LatLng(options.lat, options.lng)
+  }, options);
+
+  delete options.lat;
+  delete options.lng;
+
+  var polygon = new google.maps.Circle(options),
+      polygon_events = ['click', 'dblclick', 'mousedown', 'mousemove', 'mouseout', 'mouseover', 'mouseup', 'rightclick'];
+
+  for (var ev = 0; ev < polygon_events.length; ev++) {
+    (function(object, name) {
+      if (options[name]) {
+        google.maps.event.addListener(object, name, function(e){
+          options[name].apply(this, [e]);
+        });
+      }
+    })(polygon, polygon_events[ev]);
+  }
+
+  this.polygons.push(polygon);
+
+  return polygon;
+};
+
+GMaps.prototype.drawRectangle = function(options) {
+  options = extend_object({
+    map: this.map
+  }, options);
+
+  var latLngBounds = new google.maps.LatLngBounds(
+    new google.maps.LatLng(options.bounds[0][0], options.bounds[0][1]),
+    new google.maps.LatLng(options.bounds[1][0], options.bounds[1][1])
+  );
+
+  options.bounds = latLngBounds;
+
+  var polygon = new google.maps.Rectangle(options),
+      polygon_events = ['click', 'dblclick', 'mousedown', 'mousemove', 'mouseout', 'mouseover', 'mouseup', 'rightclick'];
+
+  for (var ev = 0; ev < polygon_events.length; ev++) {
+    (function(object, name) {
+      if (options[name]) {
+        google.maps.event.addListener(object, name, function(e){
+          options[name].apply(this, [e]);
+        });
+      }
+    })(polygon, polygon_events[ev]);
+  }
+
+  this.polygons.push(polygon);
+
+  return polygon;
+};
+
+GMaps.prototype.drawPolygon = function(options) {
+  var useGeoJSON = false;
+
+  if(options.hasOwnProperty("useGeoJSON")) {
+    useGeoJSON = options.useGeoJSON;
+  }
+
+  delete options.useGeoJSON;
+
+  options = extend_object({
+    map: this.map
+  }, options);
+
+  if (useGeoJSON == false) {
+    options.paths = [options.paths.slice(0)];
+  }
+
+  if (options.paths.length > 0) {
+    if (options.paths[0].length > 0) {
+      options.paths = array_flat(array_map(options.paths, arrayToLatLng, useGeoJSON));
+    }
+  }
+
+  var polygon = new google.maps.Polygon(options),
+      polygon_events = ['click', 'dblclick', 'mousedown', 'mousemove', 'mouseout', 'mouseover', 'mouseup', 'rightclick'];
+
+  for (var ev = 0; ev < polygon_events.length; ev++) {
+    (function(object, name) {
+      if (options[name]) {
+        google.maps.event.addListener(object, name, function(e){
+          options[name].apply(this, [e]);
+        });
+      }
+    })(polygon, polygon_events[ev]);
+  }
+
+  this.polygons.push(polygon);
+
+  GMaps.fire('polygon_added', polygon, this);
+
+  return polygon;
+};
+
+GMaps.prototype.removePolygon = function(polygon) {
+  for (var i = 0; i < this.polygons.length; i++) {
+    if (this.polygons[i] === polygon) {
+      this.polygons[i].setMap(null);
+      this.polygons.splice(i, 1);
+
+      GMaps.fire('polygon_removed', polygon, this);
+
+      break;
+    }
+  }
+};
+
+GMaps.prototype.removePolygons = function() {
+  for (var i = 0, item; item = this.polygons[i]; i++) {
+    item.setMap(null);
+  }
+
+  this.polygons = [];
+};
+
+GMaps.prototype.getFromFusionTables = function(options) {
+  var events = options.events;
+
+  delete options.events;
+
+  var fusion_tables_options = options,
+      layer = new google.maps.FusionTablesLayer(fusion_tables_options);
+
+  for (var ev in events) {
+    (function(object, name) {
+      google.maps.event.addListener(object, name, function(e) {
+        events[name].apply(this, [e]);
+      });
+    })(layer, ev);
+  }
+
+  this.layers.push(layer);
+
+  return layer;
+};
+
+GMaps.prototype.loadFromFusionTables = function(options) {
+  var layer = this.getFromFusionTables(options);
+  layer.setMap(this.map);
+
+  return layer;
+};
+
+GMaps.prototype.getFromKML = function(options) {
+  var url = options.url,
+      events = options.events;
+
+  delete options.url;
+  delete options.events;
+
+  var kml_options = options,
+      layer = new google.maps.KmlLayer(url, kml_options);
+
+  for (var ev in events) {
+    (function(object, name) {
+      google.maps.event.addListener(object, name, function(e) {
+        events[name].apply(this, [e]);
+      });
+    })(layer, ev);
+  }
+
+  this.layers.push(layer);
+
+  return layer;
+};
+
+GMaps.prototype.loadFromKML = function(options) {
+  var layer = this.getFromKML(options);
+  layer.setMap(this.map);
+
+  return layer;
+};
+
+GMaps.prototype.addLayer = function(layerName, options) {
+  //var default_layers = ['weather', 'clouds', 'traffic', 'transit', 'bicycling', 'panoramio', 'places'];
+  options = options || {};
+  var layer;
+
+  switch(layerName) {
+    case 'weather': this.singleLayers.weather = layer = new google.maps.weather.WeatherLayer();
+      break;
+    case 'clouds': this.singleLayers.clouds = layer = new google.maps.weather.CloudLayer();
+      break;
+    case 'traffic': this.singleLayers.traffic = layer = new google.maps.TrafficLayer();
+      break;
+    case 'transit': this.singleLayers.transit = layer = new google.maps.TransitLayer();
+      break;
+    case 'bicycling': this.singleLayers.bicycling = layer = new google.maps.BicyclingLayer();
+      break;
+    case 'panoramio':
+        this.singleLayers.panoramio = layer = new google.maps.panoramio.PanoramioLayer();
+        layer.setTag(options.filter);
+        delete options.filter;
+
+        //click event
+        if (options.click) {
+          google.maps.event.addListener(layer, 'click', function(event) {
+            options.click(event);
+            delete options.click;
+          });
+        }
+      break;
+      case 'places':
+        this.singleLayers.places = layer = new google.maps.places.PlacesService(this.map);
+
+        //search, nearbySearch, radarSearch callback, Both are the same
+        if (options.search || options.nearbySearch || options.radarSearch) {
+          var placeSearchRequest  = {
+            bounds : options.bounds || null,
+            keyword : options.keyword || null,
+            location : options.location || null,
+            name : options.name || null,
+            radius : options.radius || null,
+            rankBy : options.rankBy || null,
+            types : options.types || null
+          };
+
+          if (options.radarSearch) {
+            layer.radarSearch(placeSearchRequest, options.radarSearch);
+          }
+
+          if (options.search) {
+            layer.search(placeSearchRequest, options.search);
+          }
+
+          if (options.nearbySearch) {
+            layer.nearbySearch(placeSearchRequest, options.nearbySearch);
+          }
+        }
+
+        //textSearch callback
+        if (options.textSearch) {
+          var textSearchRequest  = {
+            bounds : options.bounds || null,
+            location : options.location || null,
+            query : options.query || null,
+            radius : options.radius || null
+          };
+
+          layer.textSearch(textSearchRequest, options.textSearch);
+        }
+      break;
+  }
+
+  if (layer !== undefined) {
+    if (typeof layer.setOptions == 'function') {
+      layer.setOptions(options);
+    }
+    if (typeof layer.setMap == 'function') {
+      layer.setMap(this.map);
+    }
+
+    return layer;
+  }
+};
+
+GMaps.prototype.removeLayer = function(layer) {
+  if (typeof(layer) == "string" && this.singleLayers[layer] !== undefined) {
+     this.singleLayers[layer].setMap(null);
+
+     delete this.singleLayers[layer];
+  }
+  else {
+    for (var i = 0; i < this.layers.length; i++) {
+      if (this.layers[i] === layer) {
+        this.layers[i].setMap(null);
+        this.layers.splice(i, 1);
+
+        break;
+      }
+    }
+  }
+};
+
+var travelMode, unitSystem;
+
+GMaps.prototype.getRoutes = function(options) {
+  switch (options.travelMode) {
+    case 'bicycling':
+      travelMode = google.maps.TravelMode.BICYCLING;
+      break;
+    case 'transit':
+      travelMode = google.maps.TravelMode.TRANSIT;
+      break;
+    case 'driving':
+      travelMode = google.maps.TravelMode.DRIVING;
+      break;
+    default:
+      travelMode = google.maps.TravelMode.WALKING;
+      break;
+  }
+
+  if (options.unitSystem === 'imperial') {
+    unitSystem = google.maps.UnitSystem.IMPERIAL;
+  }
+  else {
+    unitSystem = google.maps.UnitSystem.METRIC;
+  }
+
+  var base_options = {
+        avoidHighways: false,
+        avoidTolls: false,
+        optimizeWaypoints: false,
+        waypoints: []
+      },
+      request_options =  extend_object(base_options, options);
+
+  request_options.origin = /string/.test(typeof options.origin) ? options.origin : new google.maps.LatLng(options.origin[0], options.origin[1]);
+  request_options.destination = /string/.test(typeof options.destination) ? options.destination : new google.maps.LatLng(options.destination[0], options.destination[1]);
+  request_options.travelMode = travelMode;
+  request_options.unitSystem = unitSystem;
+
+  delete request_options.callback;
+  delete request_options.error;
+
+  var self = this,
+      service = new google.maps.DirectionsService();
+
+  service.route(request_options, function(result, status) {
+    if (status === google.maps.DirectionsStatus.OK) {
+      for (var r in result.routes) {
+        if (result.routes.hasOwnProperty(r)) {
+          self.routes.push(result.routes[r]);
+        }
+      }
+
+      if (options.callback) {
+        options.callback(self.routes);
+      }
+    }
+    else {
+      if (options.error) {
+        options.error(result, status);
+      }
+    }
+  });
+};
+
+GMaps.prototype.removeRoutes = function() {
+  this.routes = [];
+};
+
+GMaps.prototype.getElevations = function(options) {
+  options = extend_object({
+    locations: [],
+    path : false,
+    samples : 256
+  }, options);
+
+  if (options.locations.length > 0) {
+    if (options.locations[0].length > 0) {
+      options.locations = array_flat(array_map([options.locations], arrayToLatLng,  false));
+    }
+  }
+
+  var callback = options.callback;
+  delete options.callback;
+
+  var service = new google.maps.ElevationService();
+
+  //location request
+  if (!options.path) {
+    delete options.path;
+    delete options.samples;
+
+    service.getElevationForLocations(options, function(result, status) {
+      if (callback && typeof(callback) === "function") {
+        callback(result, status);
+      }
+    });
+  //path request
+  } else {
+    var pathRequest = {
+      path : options.locations,
+      samples : options.samples
+    };
+
+    service.getElevationAlongPath(pathRequest, function(result, status) {
+     if (callback && typeof(callback) === "function") {
+        callback(result, status);
+      }
+    });
+  }
+};
+
+GMaps.prototype.cleanRoute = GMaps.prototype.removePolylines;
+
+GMaps.prototype.drawRoute = function(options) {
+  var self = this;
+
+  this.getRoutes({
+    origin: options.origin,
+    destination: options.destination,
+    travelMode: options.travelMode,
+    waypoints: options.waypoints,
+    unitSystem: options.unitSystem,
+    error: options.error,
+    callback: function(e) {
+      if (e.length > 0) {
+        self.drawPolyline({
+          path: e[e.length - 1].overview_path,
+          strokeColor: options.strokeColor,
+          strokeOpacity: options.strokeOpacity,
+          strokeWeight: options.strokeWeight
+        });
+        
+        if (options.callback) {
+          options.callback(e[e.length - 1]);
+        }
+      }
+    }
+  });
+};
+
+GMaps.prototype.travelRoute = function(options) {
+  if (options.origin && options.destination) {
+    this.getRoutes({
+      origin: options.origin,
+      destination: options.destination,
+      travelMode: options.travelMode,
+      waypoints : options.waypoints,
+      unitSystem: options.unitSystem,
+      error: options.error,
+      callback: function(e) {
+        //start callback
+        if (e.length > 0 && options.start) {
+          options.start(e[e.length - 1]);
+        }
+
+        //step callback
+        if (e.length > 0 && options.step) {
+          var route = e[e.length - 1];
+          if (route.legs.length > 0) {
+            var steps = route.legs[0].steps;
+            for (var i=0, step; step=steps[i]; i++) {
+              step.step_number = i;
+              options.step(step, (route.legs[0].steps.length - 1));
+            }
+          }
+        }
+
+        //end callback
+        if (e.length > 0 && options.end) {
+           options.end(e[e.length - 1]);
+        }
+      }
+    });
+  }
+  else if (options.route) {
+    if (options.route.legs.length > 0) {
+      var steps = options.route.legs[0].steps;
+      for (var i=0, step; step=steps[i]; i++) {
+        step.step_number = i;
+        options.step(step);
+      }
+    }
+  }
+};
+
+GMaps.prototype.drawSteppedRoute = function(options) {
+  var self = this;
+  
+  if (options.origin && options.destination) {
+    this.getRoutes({
+      origin: options.origin,
+      destination: options.destination,
+      travelMode: options.travelMode,
+      waypoints : options.waypoints,
+      error: options.error,
+      callback: function(e) {
+        //start callback
+        if (e.length > 0 && options.start) {
+          options.start(e[e.length - 1]);
+        }
+
+        //step callback
+        if (e.length > 0 && options.step) {
+          var route = e[e.length - 1];
+          if (route.legs.length > 0) {
+            var steps = route.legs[0].steps;
+            for (var i=0, step; step=steps[i]; i++) {
+              step.step_number = i;
+              self.drawPolyline({
+                path: step.path,
+                strokeColor: options.strokeColor,
+                strokeOpacity: options.strokeOpacity,
+                strokeWeight: options.strokeWeight
+              });
+              options.step(step, (route.legs[0].steps.length - 1));
+            }
+          }
+        }
+
+        //end callback
+        if (e.length > 0 && options.end) {
+           options.end(e[e.length - 1]);
+        }
+      }
+    });
+  }
+  else if (options.route) {
+    if (options.route.legs.length > 0) {
+      var steps = options.route.legs[0].steps;
+      for (var i=0, step; step=steps[i]; i++) {
+        step.step_number = i;
+        self.drawPolyline({
+          path: step.path,
+          strokeColor: options.strokeColor,
+          strokeOpacity: options.strokeOpacity,
+          strokeWeight: options.strokeWeight
+        });
+        options.step(step);
+      }
+    }
+  }
+};
+
+GMaps.Route = function(options) {
+  this.origin = options.origin;
+  this.destination = options.destination;
+  this.waypoints = options.waypoints;
+
+  this.map = options.map;
+  this.route = options.route;
+  this.step_count = 0;
+  this.steps = this.route.legs[0].steps;
+  this.steps_length = this.steps.length;
+
+  this.polyline = this.map.drawPolyline({
+    path: new google.maps.MVCArray(),
+    strokeColor: options.strokeColor,
+    strokeOpacity: options.strokeOpacity,
+    strokeWeight: options.strokeWeight
+  }).getPath();
+};
+
+GMaps.Route.prototype.getRoute = function(options) {
+  var self = this;
+
+  this.map.getRoutes({
+    origin : this.origin,
+    destination : this.destination,
+    travelMode : options.travelMode,
+    waypoints : this.waypoints || [],
+    error: options.error,
+    callback : function() {
+      self.route = e[0];
+
+      if (options.callback) {
+        options.callback.call(self);
+      }
+    }
+  });
+};
+
+GMaps.Route.prototype.back = function() {
+  if (this.step_count > 0) {
+    this.step_count--;
+    var path = this.route.legs[0].steps[this.step_count].path;
+
+    for (var p in path){
+      if (path.hasOwnProperty(p)){
+        this.polyline.pop();
+      }
+    }
+  }
+};
+
+GMaps.Route.prototype.forward = function() {
+  if (this.step_count < this.steps_length) {
+    var path = this.route.legs[0].steps[this.step_count].path;
+
+    for (var p in path){
+      if (path.hasOwnProperty(p)){
+        this.polyline.push(path[p]);
+      }
+    }
+    this.step_count++;
+  }
+};
+
+GMaps.prototype.checkGeofence = function(lat, lng, fence) {
+  return fence.containsLatLng(new google.maps.LatLng(lat, lng));
+};
+
+GMaps.prototype.checkMarkerGeofence = function(marker, outside_callback) {
+  if (marker.fences) {
+    for (var i = 0, fence; fence = marker.fences[i]; i++) {
+      var pos = marker.getPosition();
+      if (!this.checkGeofence(pos.lat(), pos.lng(), fence)) {
+        outside_callback(marker, fence);
+      }
+    }
+  }
+};
+
+GMaps.prototype.toImage = function(options) {
+  var options = options || {},
+      static_map_options = {};
+
+  static_map_options['size'] = options['size'] || [this.el.clientWidth, this.el.clientHeight];
+  static_map_options['lat'] = this.getCenter().lat();
+  static_map_options['lng'] = this.getCenter().lng();
+
+  if (this.markers.length > 0) {
+    static_map_options['markers'] = [];
+    
+    for (var i = 0; i < this.markers.length; i++) {
+      static_map_options['markers'].push({
+        lat: this.markers[i].getPosition().lat(),
+        lng: this.markers[i].getPosition().lng()
+      });
+    }
+  }
+
+  if (this.polylines.length > 0) {
+    var polyline = this.polylines[0];
+    
+    static_map_options['polyline'] = {};
+    static_map_options['polyline']['path'] = google.maps.geometry.encoding.encodePath(polyline.getPath());
+    static_map_options['polyline']['strokeColor'] = polyline.strokeColor
+    static_map_options['polyline']['strokeOpacity'] = polyline.strokeOpacity
+    static_map_options['polyline']['strokeWeight'] = polyline.strokeWeight
+  }
+
+  return GMaps.staticMapURL(static_map_options);
+};
+
+GMaps.staticMapURL = function(options){
+  var parameters = [],
+      data,
+      static_root = 'https://maps.googleapis.com/maps/api/staticmap';
+
+  if (options.url) {
+    static_root = options.url;
+    delete options.url;
+  }
+
+  static_root += '?';
+
+  var markers = options.markers;
+  
+  delete options.markers;
+
+  if (!markers && options.marker) {
+    markers = [options.marker];
+    delete options.marker;
+  }
+
+  var styles = options.styles;
+
+  delete options.styles;
+
+  var polyline = options.polyline;
+  delete options.polyline;
+
+  /** Map options **/
+  if (options.center) {
+    parameters.push('center=' + options.center);
+    delete options.center;
+  }
+  else if (options.address) {
+    parameters.push('center=' + options.address);
+    delete options.address;
+  }
+  else if (options.lat) {
+    parameters.push(['center=', options.lat, ',', options.lng].join(''));
+    delete options.lat;
+    delete options.lng;
+  }
+  else if (options.visible) {
+    var visible = encodeURI(options.visible.join('|'));
+    parameters.push('visible=' + visible);
+  }
+
+  var size = options.size;
+  if (size) {
+    if (size.join) {
+      size = size.join('x');
+    }
+    delete options.size;
+  }
+  else {
+    size = '630x300';
+  }
+  parameters.push('size=' + size);
+
+  if (!options.zoom && options.zoom !== false) {
+    options.zoom = 15;
+  }
+
+  var sensor = options.hasOwnProperty('sensor') ? !!options.sensor : true;
+  delete options.sensor;
+  parameters.push('sensor=' + sensor);
+
+  for (var param in options) {
+    if (options.hasOwnProperty(param)) {
+      parameters.push(param + '=' + options[param]);
+    }
+  }
+
+  /** Markers **/
+  if (markers) {
+    var marker, loc;
+
+    for (var i=0; data=markers[i]; i++) {
+      marker = [];
+
+      if (data.size && data.size !== 'normal') {
+        marker.push('size:' + data.size);
+        delete data.size;
+      }
+      else if (data.icon) {
+        marker.push('icon:' + encodeURI(data.icon));
+        delete data.icon;
+      }
+
+      if (data.color) {
+        marker.push('color:' + data.color.replace('#', '0x'));
+        delete data.color;
+      }
+
+      if (data.label) {
+        marker.push('label:' + data.label[0].toUpperCase());
+        delete data.label;
+      }
+
+      loc = (data.address ? data.address : data.lat + ',' + data.lng);
+      delete data.address;
+      delete data.lat;
+      delete data.lng;
+
+      for(var param in data){
+        if (data.hasOwnProperty(param)) {
+          marker.push(param + ':' + data[param]);
+        }
+      }
+
+      if (marker.length || i === 0) {
+        marker.push(loc);
+        marker = marker.join('|');
+        parameters.push('markers=' + encodeURI(marker));
+      }
+      // New marker without styles
+      else {
+        marker = parameters.pop() + encodeURI('|' + loc);
+        parameters.push(marker);
+      }
+    }
+  }
+
+  /** Map Styles **/
+  if (styles) {
+    for (var i = 0; i < styles.length; i++) {
+      var styleRule = [];
+      if (styles[i].featureType){
+        styleRule.push('feature:' + styles[i].featureType.toLowerCase());
+      }
+
+      if (styles[i].elementType) {
+        styleRule.push('element:' + styles[i].elementType.toLowerCase());
+      }
+
+      for (var j = 0; j < styles[i].stylers.length; j++) {
+        for (var p in styles[i].stylers[j]) {
+          var ruleArg = styles[i].stylers[j][p];
+          if (p == 'hue' || p == 'color') {
+            ruleArg = '0x' + ruleArg.substring(1);
+          }
+          styleRule.push(p + ':' + ruleArg);
+        }
+      }
+
+      var rule = styleRule.join('|');
+      if (rule != '') {
+        parameters.push('style=' + rule);
+      }
+    }
+  }
+
+  /** Polylines **/
+  function parseColor(color, opacity) {
+    if (color[0] === '#'){
+      color = color.replace('#', '0x');
+
+      if (opacity) {
+        opacity = parseFloat(opacity);
+        opacity = Math.min(1, Math.max(opacity, 0));
+        if (opacity === 0) {
+          return '0x00000000';
+        }
+        opacity = (opacity * 255).toString(16);
+        if (opacity.length === 1) {
+          opacity += opacity;
+        }
+
+        color = color.slice(0,8) + opacity;
+      }
+    }
+    return color;
+  }
+
+  if (polyline) {
+    data = polyline;
+    polyline = [];
+
+    if (data.strokeWeight) {
+      polyline.push('weight:' + parseInt(data.strokeWeight, 10));
+    }
+
+    if (data.strokeColor) {
+      var color = parseColor(data.strokeColor, data.strokeOpacity);
+      polyline.push('color:' + color);
+    }
+
+    if (data.fillColor) {
+      var fillcolor = parseColor(data.fillColor, data.fillOpacity);
+      polyline.push('fillcolor:' + fillcolor);
+    }
+
+    var path = data.path;
+    if (path.join) {
+      for (var j=0, pos; pos=path[j]; j++) {
+        polyline.push(pos.join(','));
+      }
+    }
+    else {
+      polyline.push('enc:' + path);
+    }
+
+    polyline = polyline.join('|');
+    parameters.push('path=' + encodeURI(polyline));
+  }
+
+  /** Retina support **/
+  var dpi = window.devicePixelRatio || 1;
+  parameters.push('scale=' + dpi);
+
+  parameters = parameters.join('&');
+  return static_root + parameters;
+};
+
+GMaps.prototype.addMapType = function(mapTypeId, options) {
+  if (options.hasOwnProperty("getTileUrl") && typeof(options["getTileUrl"]) == "function") {
+    options.tileSize = options.tileSize || new google.maps.Size(256, 256);
+
+    var mapType = new google.maps.ImageMapType(options);
+
+    this.map.mapTypes.set(mapTypeId, mapType);
+  }
+  else {
+    throw "'getTileUrl' function required.";
+  }
+};
+
+GMaps.prototype.addOverlayMapType = function(options) {
+  if (options.hasOwnProperty("getTile") && typeof(options["getTile"]) == "function") {
+    var overlayMapTypeIndex = options.index;
+
+    delete options.index;
+
+    this.map.overlayMapTypes.insertAt(overlayMapTypeIndex, options);
+  }
+  else {
+    throw "'getTile' function required.";
+  }
+};
+
+GMaps.prototype.removeOverlayMapType = function(overlayMapTypeIndex) {
+  this.map.overlayMapTypes.removeAt(overlayMapTypeIndex);
+};
+
+GMaps.prototype.addStyle = function(options) {
+  var styledMapType = new google.maps.StyledMapType(options.styles, { name: options.styledMapName });
+
+  this.map.mapTypes.set(options.mapTypeId, styledMapType);
+};
+
+GMaps.prototype.setStyle = function(mapTypeId) {
+  this.map.setMapTypeId(mapTypeId);
+};
+
+GMaps.prototype.createPanorama = function(streetview_options) {
+  if (!streetview_options.hasOwnProperty('lat') || !streetview_options.hasOwnProperty('lng')) {
+    streetview_options.lat = this.getCenter().lat();
+    streetview_options.lng = this.getCenter().lng();
+  }
+
+  this.panorama = GMaps.createPanorama(streetview_options);
+
+  this.map.setStreetView(this.panorama);
+
+  return this.panorama;
+};
+
+GMaps.createPanorama = function(options) {
+  var el = getElementById(options.el, options.context);
+
+  options.position = new google.maps.LatLng(options.lat, options.lng);
+
+  delete options.el;
+  delete options.context;
+  delete options.lat;
+  delete options.lng;
+
+  var streetview_events = ['closeclick', 'links_changed', 'pano_changed', 'position_changed', 'pov_changed', 'resize', 'visible_changed'],
+      streetview_options = extend_object({visible : true}, options);
+
+  for (var i = 0; i < streetview_events.length; i++) {
+    delete streetview_options[streetview_events[i]];
+  }
+
+  var panorama = new google.maps.StreetViewPanorama(el, streetview_options);
+
+  for (var i = 0; i < streetview_events.length; i++) {
+    (function(object, name) {
+      if (options[name]) {
+        google.maps.event.addListener(object, name, function(){
+          options[name].apply(this);
+        });
+      }
+    })(panorama, streetview_events[i]);
+  }
+
+  return panorama;
+};
+
+GMaps.prototype.on = function(event_name, handler) {
+  return GMaps.on(event_name, this, handler);
+};
+
+GMaps.prototype.off = function(event_name) {
+  GMaps.off(event_name, this);
+};
+
+GMaps.custom_events = ['marker_added', 'marker_removed', 'polyline_added', 'polyline_removed', 'polygon_added', 'polygon_removed', 'geolocated', 'geolocation_failed'];
+
+GMaps.on = function(event_name, object, handler) {
+  if (GMaps.custom_events.indexOf(event_name) == -1) {
+    if(object instanceof GMaps) object = object.map; 
+    return google.maps.event.addListener(object, event_name, handler);
+  }
+  else {
+    var registered_event = {
+      handler : handler,
+      eventName : event_name
+    };
+
+    object.registered_events[event_name] = object.registered_events[event_name] || [];
+    object.registered_events[event_name].push(registered_event);
+
+    return registered_event;
+  }
+};
+
+GMaps.off = function(event_name, object) {
+  if (GMaps.custom_events.indexOf(event_name) == -1) {
+    if(object instanceof GMaps) object = object.map; 
+    google.maps.event.clearListeners(object, event_name);
+  }
+  else {
+    object.registered_events[event_name] = [];
+  }
+};
+
+GMaps.fire = function(event_name, object, scope) {
+  if (GMaps.custom_events.indexOf(event_name) == -1) {
+    google.maps.event.trigger(object, event_name, Array.prototype.slice.apply(arguments).slice(2));
+  }
+  else {
+    if(event_name in scope.registered_events) {
+      var firing_events = scope.registered_events[event_name];
+
+      for(var i = 0; i < firing_events.length; i++) {
+        (function(handler, scope, object) {
+          handler.apply(scope, [object]);
+        })(firing_events[i]['handler'], scope, object);
+      }
+    }
+  }
+};
+
+GMaps.geolocate = function(options) {
+  var complete_callback = options.always || options.complete;
+
+  if (navigator.geolocation) {
+    navigator.geolocation.getCurrentPosition(function(position) {
+      options.success(position);
+
+      if (complete_callback) {
+        complete_callback();
+      }
+    }, function(error) {
+      options.error(error);
+
+      if (complete_callback) {
+        complete_callback();
+      }
+    }, options.options);
+  }
+  else {
+    options.not_supported();
+
+    if (complete_callback) {
+      complete_callback();
+    }
+  }
+};
+
+GMaps.geocode = function(options) {
+  this.geocoder = new google.maps.Geocoder();
+  var callback = options.callback;
+  if (options.hasOwnProperty('lat') && options.hasOwnProperty('lng')) {
+    options.latLng = new google.maps.LatLng(options.lat, options.lng);
+  }
+
+  delete options.lat;
+  delete options.lng;
+  delete options.callback;
+  
+  this.geocoder.geocode(options, function(results, status) {
+    callback(results, status);
+  });
+};
+
+//==========================
+// Polygon containsLatLng
+// https://github.com/tparkin/Google-Maps-Point-in-Polygon
+// Poygon getBounds extension - google-maps-extensions
+// http://code.google.com/p/google-maps-extensions/source/browse/google.maps.Polygon.getBounds.js
+if (!google.maps.Polygon.prototype.getBounds) {
+  google.maps.Polygon.prototype.getBounds = function(latLng) {
+    var bounds = new google.maps.LatLngBounds();
+    var paths = this.getPaths();
+    var path;
+
+    for (var p = 0; p < paths.getLength(); p++) {
+      path = paths.getAt(p);
+      for (var i = 0; i < path.getLength(); i++) {
+        bounds.extend(path.getAt(i));
+      }
+    }
+
+    return bounds;
+  };
+}
+
+if (!google.maps.Polygon.prototype.containsLatLng) {
+  // Polygon containsLatLng - method to determine if a latLng is within a polygon
+  google.maps.Polygon.prototype.containsLatLng = function(latLng) {
+    // Exclude points outside of bounds as there is no way they are in the poly
+    var bounds = this.getBounds();
+
+    if (bounds !== null && !bounds.contains(latLng)) {
+      return false;
+    }
+
+    // Raycast point in polygon method
+    var inPoly = false;
+
+    var numPaths = this.getPaths().getLength();
+    for (var p = 0; p < numPaths; p++) {
+      var path = this.getPaths().getAt(p);
+      var numPoints = path.getLength();
+      var j = numPoints - 1;
+
+      for (var i = 0; i < numPoints; i++) {
+        var vertex1 = path.getAt(i);
+        var vertex2 = path.getAt(j);
+
+        if (vertex1.lng() < latLng.lng() && vertex2.lng() >= latLng.lng() || vertex2.lng() < latLng.lng() && vertex1.lng() >= latLng.lng()) {
+          if (vertex1.lat() + (latLng.lng() - vertex1.lng()) / (vertex2.lng() - vertex1.lng()) * (vertex2.lat() - vertex1.lat()) < latLng.lat()) {
+            inPoly = !inPoly;
+          }
+        }
+
+        j = i;
+      }
+    }
+
+    return inPoly;
+  };
+}
+
+if (!google.maps.Circle.prototype.containsLatLng) {
+  google.maps.Circle.prototype.containsLatLng = function(latLng) {
+    if (google.maps.geometry) {
+      return google.maps.geometry.spherical.computeDistanceBetween(this.getCenter(), latLng) <= this.getRadius();
+    }
+    else {
+      return true;
+    }
+  };
+}
+
+google.maps.LatLngBounds.prototype.containsLatLng = function(latLng) {
+  return this.contains(latLng);
+};
+
+google.maps.Marker.prototype.setFences = function(fences) {
+  this.fences = fences;
+};
+
+google.maps.Marker.prototype.addFence = function(fence) {
+  this.fences.push(fence);
+};
+
+google.maps.Marker.prototype.getId = function() {
+  return this['__gm_id'];
+};
+
+//==========================
+// Array indexOf
+// https://developer.mozilla.org/en-US/docs/JavaScript/Reference/Global_Objects/Array/indexOf
+if (!Array.prototype.indexOf) {
+  Array.prototype.indexOf = function (searchElement /*, fromIndex */ ) {
+      "use strict";
+      if (this == null) {
+          throw new TypeError();
+      }
+      var t = Object(this);
+      var len = t.length >>> 0;
+      if (len === 0) {
+          return -1;
+      }
+      var n = 0;
+      if (arguments.length > 1) {
+          n = Number(arguments[1]);
+          if (n != n) { // shortcut for verifying if it's NaN
+              n = 0;
+          } else if (n != 0 && n != Infinity && n != -Infinity) {
+              n = (n > 0 || -1) * Math.floor(Math.abs(n));
+          }
+      }
+      if (n >= len) {
+          return -1;
+      }
+      var k = n >= 0 ? n : Math.max(len - Math.abs(n), 0);
+      for (; k < len; k++) {
+          if (k in t && t[k] === searchElement) {
+              return k;
+          }
+      }
+      return -1;
+  }
+}
+  
+return GMaps;
+}));
diff --git a/public/js/owl.carousel.min.js b/public/js/owl.carousel.min.js
new file mode 100644
index 000000000..98ae16ecf
--- /dev/null
+++ b/public/js/owl.carousel.min.js
@@ -0,0 +1 @@
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diff --git a/public/js/respond.min.js b/public/js/respond.min.js
new file mode 100644
index 000000000..835b161d4
--- /dev/null
+++ b/public/js/respond.min.js
@@ -0,0 +1,6 @@
+/*! Respond.js v1.4.2: min/max-width media query polyfill
+ * Copyright 2014 Scott Jehl
+ * Licensed under MIT
+ * http://j.mp/respondjs */
+
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+    <div class="navbar navbar-default yamm mouseover" role="navigation" id="navbar">
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+                </div>
+            </div>
+            
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+            <div class="navbar-collapse collapse" id="navigation">
+                <ul class="nav navbar-nav navbar-right">
+                  
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+                  <li class="dropdown active">
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+                        <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Portfolio <span class="caret"></span></a>
+                        
+                        <ul class="dropdown-menu">
+                            
+                            <li><a href="/databricks-customer-success-stories/">Databricks Customer Success Stories</a></li>
+                            
+                        </ul>
+                        
+                    </li>
+                  
+                  
+                  
+                  
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+                  
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+                  
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+                  
+                    
+                    
+                    <li class="dropdown ">
+                        <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-haspopup="true" aria-expanded="false">Interview Coaching <span class="caret"></span></a>
+                        
+                        <ul class="dropdown-menu">
+                            
+                            <li><a href="/blog/youtube/">Youtube</a></li>
+                            
+                            <li><a href="/blog/howtoprepareyourselftobebetteratdatainterviews">how to prepare for data interviews</a></li>
+                            
+                            <li><a href="/blog/1-on-1-coaching/">1 on 1 coaching</a></li>
+                            
+                        </ul>
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+                        <input type="text" class="form-control" placeholder="Search">
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+                    <button type="submit" class="btn btn-template-main"><i class="fas fa-search"></i></button>
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+                </form>
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+            
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+</header>
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+    <div class="home-carousel">
+        <div class="dark-mask"></div>
+        <div class="container">
+            <div class="homepage owl-carousel"
+                data-autoplay="true"
+                data-slide-speed="2000"
+                data-pagination-speed="1000">
+                
+                <div class="item">
+                    
+                    <a href="/contact" target="_blank" title="We Solve Data Problems">
+                    
+                        <div class="row">
+                            <div class="col-sm-5 right">
+                                <h1>We Solve Data Problems</h1>
+                                <ul class="list-style-none"> <li> With over a decade of experience designing data engineering and analytics solutions for startups to large enterprises. </li> </ul>
+                            </div>
+                            <div class="col-sm-7">
+                                <img class="img-responsive" src="img/carousel/template-easy-code.png" alt="">
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+                        </div>
+                    
+                    </a>
+                    
+                </div>
+                
+                <div class="item">
+                    
+                    <a href="/blog/1-on-1-coaching" target="_blank" title="Crack the next Data Interview">
+                    
+                        <div class="row">
+                            <div class="col-sm-5 right">
+                                <h1>Crack the next Data Interview</h1>
+                                <ul class="list-style-none"> <li>Please check out my blogs, YouTube, and advice. If my writing speaks to you and you're looking for personalized guidance. Let's connect. </li> </ul>
+                            </div>
+                            <div class="col-sm-7">
+                                <img class="img-responsive" src="img/carousel/template-easy-code.png" alt="">
+                            </div>
+                        </div>
+                    
+                    </a>
+                    
+                </div>
+                
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+            
+        </div>
+    </div>
+</section>
+
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+<section class="bar background-pentagon no-mb">
+    <div class="container">
+        <div class="row">
+            <div class="col-md-12">
+                <div class="heading text-center">
+                    <h2>What People Say About Me?</h2>
+                </div>
+
+                <p class="lead">
+                  
+                </p>
+
+                
+
+                <ul class="owl-carousel testimonials same-height-row"
+                    data-items="4"
+                    data-autoplay="true"
+                    data-slide-speed="2000"
+                    data-pagination-speed="1000">
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh has played a crucial part in the success of this project. His enthusiasm, dedication, communication, ownership, and technical abilities are simply mind blowing. I don’t believe that I ever worked with someone for a period as short as 10 days that impressed me as much as Jitesh did. A true star of the show.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFhLH6uLyhESg/profile-displayphoto-shrink_400_400/0/1579500033911?e=1690416000&amp;v=beta&amp;t=hVUYovnP5vEnav3gzBvUibZkVlpu-lNA7vDBxNF9MDY">
+                                    <h5>Ala Qabaja</h5>
+                                    <p>Senior Data Engineer, Atlassian</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>I have had the pleasure of working with Jitesh for 3+ years at Amazon. He is always curious to learn new technologies and implement them when the situation and use case apply. He is an expert at big data technologies and is always looking for ways to build simple solutions to seemingly complex problems. He has built and scaled pipelines that handle petabytes of data and his solutions have seldom resulted in operational issues post-deployment. I am hopeful we will work again!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQEQSY-C4IgOhA/profile-displayphoto-shrink_200_200/0/1517430289963?e=1684972800&amp;v=beta&amp;t=LhYQ0H9mikP-YNpDMRHIOUwcxGgt3Gv1Ye_C_A_3lXc">
+                                    <h5>Sunil Muktibodh</h5>
+                                    <p>Senior Manager, Amazon</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>100% agree.  Not only a skilled technical resource, but an absolute pleasure to work with.  Just we for-warned, any future support we need from you guys, we’ll be asking for him by name!!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQHTQ3iTjxaByg/profile-displayphoto-shrink_200_200/0/1516317757063?e=1684972800&amp;v=beta&amp;t=nPQo7d9GZuX6ZGi-BLgQroXynagu7FNRXXUwKGMf0xk">
+                                    <h5>Mike Henry</h5>
+                                    <p>Manager, Data Analytics at ARC Resources Ltd.</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was incredible! His sole goal is to help you improve and he goes above and beyond to achieve that. In addition to his depth and breadth of knowledge, his commitment to the student sets him apart from other coaches. I highly recommend a session with Jitesh.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4D03AQEfiVXe1LPJkQ/profile-displayphoto-shrink_100_100/0/1636400968535?e=1684972800&amp;v=beta&amp;t=yg2wcmlDGw0E8qrtoocKce5tB-h1N5tBBOtsOqxML2o">
+                                    <h5>Jarriett</h5>
+                                    <p>Staff Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was a pleasure to work with on our lakehouse build out project. He excelled at understanding our business logic and requirements, clarifying any ambiguities, and then translating them into code. The technical solutions he created were effective, clean, and easily maintainable. Furthermore, he was receptive to feedback and was open to making adjustments to fit his implementations into our standards and practices. Beyond just the tasks he worked directly on, Jitesh was an effective communicator &ndash; able to proactively provide helpful advice on other items and answer questions about the many technologies he is knowledgeable on.
+In conclusion, I think Jitesh reflects very well on Databricks and I was glad to have the chance to work with him and would definitely do so again in the future.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQH-WPWnXrluhw/profile-displayphoto-shrink_200_200/0/1587956665123?e=1684972800&amp;v=beta&amp;t=cAh9AqO3Cwmg9gOsNf8ZRtbH49YO396HlDEC5c3DbVI">
+                                    <h5>Joel Lowery</h5>
+                                    <p>Chief Information Officer, Audnatic</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh gave me an excellent overview of what to expect during the final round of Data Engineer interviews at Amazon as well as how best to prepare for them. He absolutely exceeded my expectations for today&rsquo;s session. Highly recommended!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D5603AQGYq0LgfMXhTw/profile-displayphoto-shrink_200_200/0/1667102056171?e=1684972800&amp;v=beta&amp;t=g6-sG_pEHzMYY-nllqHZRWt82WZBl7gwPqgD-61zJK0">
+                                    <h5>Billy</h5>
+                                    <p>Senior Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh is awesome to work with! He is very knowledgeable and experienced with data engineering concepts, and internal Amazon processes. He has helped me dramatically. Would highly recommend his coaching sessions for anyone interested in a data role at Amazon.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFwWty5DOt2Vg/profile-displayphoto-shrink_200_200/0/1565608926475?e=1684972800&amp;v=beta&amp;t=pG746AZ7cfojSwMM7rURgujCon0ShRpNHTixMkFkGTs">
+                                    <h5>Lin</h5>
+                                    <p>Senior Program Manager</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>This was my 3rd session with someone doing DE interviews &amp; this was easily the best one. I liked the guidance to look into high level technical concepts without taking too much time digging into the details - that I can figure out offline on my own.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQHAT7VCvaDcKQ/profile-displayphoto-shrink_200_200/0/1520390103963?e=1684972800&amp;v=beta&amp;t=WEC_hvdW4CtwlKfFpPCBD2GxlyfnR9wpjsSZ-s33RRg">
+                                    <h5>Blaine</h5>
+                                    <p>Senior Software Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>My experience was good with Jitesh, Better than my expectations. It was like a coaching session, in which he guided well.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D4D03AQEilP6Dqx0XUw/profile-displayphoto-shrink_200_200/0/1674746166561?e=1684972800&amp;v=beta&amp;t=qubr7vJhw9h4Ed9wb2PnvledzkPW02rcISrUZcBnHck">
+                                    <h5>Abdullah</h5>
+                                    <p>Cloud &amp; Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh gave me specific recommendations on my career plan according to what is happening in the data engineering market. I&rsquo;ve got detailed and honest answers to my questions. Very valuable session.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D4E03AQEe1qgpQoXFTA/profile-displayphoto-shrink_200_200/0/1676730312052?e=1684972800&amp;v=beta&amp;t=oxh1GAgtpZvOw1DfVRhl3dyE_qkdhm_rrHuZSsWqP9Q">
+                                    <h5>Eugene</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh had been very helpful to guide me throughout the interview. He is very quick to respond and goes above and beyond to help. It would not have been possible for me to crack the interview without his guidance. I would highly recommend him.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D5603AQH35zfsFQKDtw/profile-displayphoto-shrink_200_200/0/1664473062733?e=1684972800&amp;v=beta&amp;t=MjN3LtwjWGHQ3a4aEyYdmVn8Ru2pZcr389lKE2aplrg">
+                                    <h5>Minu</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was amazing. He has a no nonsense approach to things. He really helped in drafting a comprehensive prep plan for DE full time roles and explained it really well. Would definitely recommend him for anyone trying to get into DE roles.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFHByb1PkIrcQ/profile-displayphoto-shrink_200_200/0/1651741927202?e=1684972800&amp;v=beta&amp;t=dY6YBaFEULSpOHcN--dJzBpkVTYejAaEjMmQXy1AqtU">
+                                    <h5>Nikhil</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>This was my 4th session with Jitesh and he always keeps going above and beyond to make sure I need everything I need. With Jitesh&rsquo;s excellent guidance, I managed to pass the phone interview round and we&rsquo;re continuing to prepare for acing the final round. Keep up the great work Jitesh!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQEqwKY0pUFMPw/profile-displayphoto-shrink_200_200/0/1600451468953?e=1684972800&amp;v=beta&amp;t=OrTtzZ5irDnI281Exkk9CYyyn8Mfg42biCxa2BqDlcc">
+                                    <h5>Saeed</h5>
+                                    <p>Senior Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was extremely good at targeting the DOs and DON&rsquo;Ts during the interview. His familiarity and broad exposure to systems design and database design concepts reflects the way he guides others in correct decision making during the design interviews. To add to his technical expertise and being up-to-date on the systems design areas, is his profound quality of going above and beyond to help candidates aces through the interviews. He never shuns off from taking the ownership of guiding the candidates throughout the process though he gets paid just for the one hour sessions here. Being extremely approachable is another quality that I like the most in him.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4D03AQFdMv5-m_JRtg/profile-displayphoto-shrink_200_200/0/1657740760304?e=1684972800&amp;v=beta&amp;t=VrCn2cSmN1rYW96c5i0wjQUdgjpLiaO_hctl4W1RAOI">
+                                    <h5>Venkata</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                </ul>
+                
+
+                
+            </div>
+
+        </div>
+    </div>
+</section>
+
+
+
+
+
+
+
+        
+
+
+        
+
+<section class="bar background-white no-mb">
+    <div class="container">
+
+        <div class="col-md-12">
+            <div class="heading text-center">
+                <h2>From our blog</h2>
+            </div>
+
+            <p class="lead">
+              
+            </p>
+
+            
+
+            <div class="row">
+                
+                
+                <div class="col-md-3 col-sm-6">
+                    <div class="box-image-text blog">
+                        <div class="top">
+                            <div class="image" style="overflow:hidden">
+                                
+                                <img src="https://miro.medium.com/v2/resize:fit:720/0*On2cbUBjrA__byVR" class="img-responsive" alt="" >
+                                
+                            </div>
+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
+                                </p>
+                            </div>
+                        </div>
+
+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
+                                
+                                    
+                                
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+                                
+                                    
+                                
+                                    
+                                
+                                on February 23, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/" class="btn btn-template-main">Continue reading</a>
+                            </p>
+                            
+                        </div>
+                    </div>
+                    
+
+                </div>
+                
+                <div class="col-md-3 col-sm-6">
+                    <div class="box-image-text blog">
+                        <div class="top">
+                            <div class="image" style="overflow:hidden">
+                                
+                                <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*bPfmY6lG-OxW2l1s5szFsQ.png" class="img-responsive" alt="" >
+                                
+                            </div>
+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
+                                </p>
+                            </div>
+                        </div>
+
+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/">How to get the Job ID and Run ID for a Databricks Job</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
+                                
+                                    
+                                
+                                    
+                                
+                                    
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+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                on February 23, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&quot;&quot;&quot; job_id: {dbutils.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/" class="btn btn-template-main">Continue reading</a>
+                            </p>
+                            
+                        </div>
+                    </div>
+                    
+
+                </div>
+                
+                <div class="col-md-3 col-sm-6">
+                    <div class="box-image-text blog">
+                        <div class="top">
+                            <div class="image" style="overflow:hidden">
+                                
+                                <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/1*HaEcA9459qFpzSyFKC8Lgw.jpeg" class="img-responsive" alt="" >
+                                
+                            </div>
+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
+                                </p>
+                            </div>
+                        </div>
+
+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/">How to prepare yourself to be better at Data Interviews?</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
+                                
+                                    
+                                
+                                    
+                                
+                                    
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+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                on January 27, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp; Big Data fundamentals. Here is how to prepare for each of them.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/" class="btn btn-template-main">Continue reading</a>
+                            </p>
+                            
+                        </div>
+                    </div>
+                    
+
+                </div>
+                
+                <div class="col-md-3 col-sm-6">
+                    <div class="box-image-text blog">
+                        <div class="top">
+                            <div class="image" style="overflow:hidden">
+                                
+                                <img src="https://miro.medium.com/v2/resize:fit:720/0*IUhD1QKtwgHKBdb8" class="img-responsive" alt="" >
+                                
+                            </div>
+                            <div class="bg"></div>
+                            <div class="text">
+                                <p class="buttons">
+                                    <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/" class="btn btn-template-transparent-primary"><i class="fas fa-link"></i> Read more</a>
+                                </p>
+                            </div>
+                        </div>
+
+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">How I wrote my first Spark Streaming Application with Joins?</a></h4>
+                            <p class="author-category">
+			    
+                            
+                                
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+                                    
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+                                    
+                                
+                                    
+                                
+                                    
+                                
+                                on January 25, 2023
+                            
+                            </p>
+                            
+                            <p class="intro">How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/" class="btn btn-template-main">Continue reading</a>
+                            </p>
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+                            <div class="col-sm-5 right">
+                                <h1>We Solve Data Problems</h1>
+                                <ul class="list-style-none"> <li> With over a decade of experience designing data engineering and analytics solutions for startups to large enterprises. </li> </ul>
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+                    
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+                            <div class="col-sm-5 right">
+                                <h1>Crack the next Data Interview</h1>
+                                <ul class="list-style-none"> <li>Please check out my blogs, YouTube, and advice. If my writing speaks to you and you're looking for personalized guidance. Let's connect. </li> </ul>
+                            </div>
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+                <div class="heading text-center">
+                    <h2>What People Say About Me?</h2>
+                </div>
+
+                <p class="lead">
+                  
+                </p>
+
+                
+
+                <ul class="owl-carousel testimonials same-height-row"
+                    data-items="4"
+                    data-autoplay="true"
+                    data-slide-speed="2000"
+                    data-pagination-speed="1000">
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh has played a crucial part in the success of this project. His enthusiasm, dedication, communication, ownership, and technical abilities are simply mind blowing. I don’t believe that I ever worked with someone for a period as short as 10 days that impressed me as much as Jitesh did. A true star of the show.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFhLH6uLyhESg/profile-displayphoto-shrink_400_400/0/1579500033911?e=1690416000&amp;v=beta&amp;t=hVUYovnP5vEnav3gzBvUibZkVlpu-lNA7vDBxNF9MDY">
+                                    <h5>Ala Qabaja</h5>
+                                    <p>Senior Data Engineer, Atlassian</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>I have had the pleasure of working with Jitesh for 3+ years at Amazon. He is always curious to learn new technologies and implement them when the situation and use case apply. He is an expert at big data technologies and is always looking for ways to build simple solutions to seemingly complex problems. He has built and scaled pipelines that handle petabytes of data and his solutions have seldom resulted in operational issues post-deployment. I am hopeful we will work again!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQEQSY-C4IgOhA/profile-displayphoto-shrink_200_200/0/1517430289963?e=1684972800&amp;v=beta&amp;t=LhYQ0H9mikP-YNpDMRHIOUwcxGgt3Gv1Ye_C_A_3lXc">
+                                    <h5>Sunil Muktibodh</h5>
+                                    <p>Senior Manager, Amazon</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>100% agree.  Not only a skilled technical resource, but an absolute pleasure to work with.  Just we for-warned, any future support we need from you guys, we’ll be asking for him by name!!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQHTQ3iTjxaByg/profile-displayphoto-shrink_200_200/0/1516317757063?e=1684972800&amp;v=beta&amp;t=nPQo7d9GZuX6ZGi-BLgQroXynagu7FNRXXUwKGMf0xk">
+                                    <h5>Mike Henry</h5>
+                                    <p>Manager, Data Analytics at ARC Resources Ltd.</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was incredible! His sole goal is to help you improve and he goes above and beyond to achieve that. In addition to his depth and breadth of knowledge, his commitment to the student sets him apart from other coaches. I highly recommend a session with Jitesh.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4D03AQEfiVXe1LPJkQ/profile-displayphoto-shrink_100_100/0/1636400968535?e=1684972800&amp;v=beta&amp;t=yg2wcmlDGw0E8qrtoocKce5tB-h1N5tBBOtsOqxML2o">
+                                    <h5>Jarriett</h5>
+                                    <p>Staff Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was a pleasure to work with on our lakehouse build out project. He excelled at understanding our business logic and requirements, clarifying any ambiguities, and then translating them into code. The technical solutions he created were effective, clean, and easily maintainable. Furthermore, he was receptive to feedback and was open to making adjustments to fit his implementations into our standards and practices. Beyond just the tasks he worked directly on, Jitesh was an effective communicator &ndash; able to proactively provide helpful advice on other items and answer questions about the many technologies he is knowledgeable on.
+In conclusion, I think Jitesh reflects very well on Databricks and I was glad to have the chance to work with him and would definitely do so again in the future.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQH-WPWnXrluhw/profile-displayphoto-shrink_200_200/0/1587956665123?e=1684972800&amp;v=beta&amp;t=cAh9AqO3Cwmg9gOsNf8ZRtbH49YO396HlDEC5c3DbVI">
+                                    <h5>Joel Lowery</h5>
+                                    <p>Chief Information Officer, Audnatic</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh gave me an excellent overview of what to expect during the final round of Data Engineer interviews at Amazon as well as how best to prepare for them. He absolutely exceeded my expectations for today&rsquo;s session. Highly recommended!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D5603AQGYq0LgfMXhTw/profile-displayphoto-shrink_200_200/0/1667102056171?e=1684972800&amp;v=beta&amp;t=g6-sG_pEHzMYY-nllqHZRWt82WZBl7gwPqgD-61zJK0">
+                                    <h5>Billy</h5>
+                                    <p>Senior Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh is awesome to work with! He is very knowledgeable and experienced with data engineering concepts, and internal Amazon processes. He has helped me dramatically. Would highly recommend his coaching sessions for anyone interested in a data role at Amazon.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFwWty5DOt2Vg/profile-displayphoto-shrink_200_200/0/1565608926475?e=1684972800&amp;v=beta&amp;t=pG746AZ7cfojSwMM7rURgujCon0ShRpNHTixMkFkGTs">
+                                    <h5>Lin</h5>
+                                    <p>Senior Program Manager</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>This was my 3rd session with someone doing DE interviews &amp; this was easily the best one. I liked the guidance to look into high level technical concepts without taking too much time digging into the details - that I can figure out offline on my own.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQHAT7VCvaDcKQ/profile-displayphoto-shrink_200_200/0/1520390103963?e=1684972800&amp;v=beta&amp;t=WEC_hvdW4CtwlKfFpPCBD2GxlyfnR9wpjsSZ-s33RRg">
+                                    <h5>Blaine</h5>
+                                    <p>Senior Software Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>My experience was good with Jitesh, Better than my expectations. It was like a coaching session, in which he guided well.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D4D03AQEilP6Dqx0XUw/profile-displayphoto-shrink_200_200/0/1674746166561?e=1684972800&amp;v=beta&amp;t=qubr7vJhw9h4Ed9wb2PnvledzkPW02rcISrUZcBnHck">
+                                    <h5>Abdullah</h5>
+                                    <p>Cloud &amp; Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh gave me specific recommendations on my career plan according to what is happening in the data engineering market. I&rsquo;ve got detailed and honest answers to my questions. Very valuable session.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D4E03AQEe1qgpQoXFTA/profile-displayphoto-shrink_200_200/0/1676730312052?e=1684972800&amp;v=beta&amp;t=oxh1GAgtpZvOw1DfVRhl3dyE_qkdhm_rrHuZSsWqP9Q">
+                                    <h5>Eugene</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh had been very helpful to guide me throughout the interview. He is very quick to respond and goes above and beyond to help. It would not have been possible for me to crack the interview without his guidance. I would highly recommend him.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/D5603AQH35zfsFQKDtw/profile-displayphoto-shrink_200_200/0/1664473062733?e=1684972800&amp;v=beta&amp;t=MjN3LtwjWGHQ3a4aEyYdmVn8Ru2pZcr389lKE2aplrg">
+                                    <h5>Minu</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was amazing. He has a no nonsense approach to things. He really helped in drafting a comprehensive prep plan for DE full time roles and explained it really well. Would definitely recommend him for anyone trying to get into DE roles.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4E03AQFHByb1PkIrcQ/profile-displayphoto-shrink_200_200/0/1651741927202?e=1684972800&amp;v=beta&amp;t=dY6YBaFEULSpOHcN--dJzBpkVTYejAaEjMmQXy1AqtU">
+                                    <h5>Nikhil</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>This was my 4th session with Jitesh and he always keeps going above and beyond to make sure I need everything I need. With Jitesh&rsquo;s excellent guidance, I managed to pass the phone interview round and we&rsquo;re continuing to prepare for acing the final round. Keep up the great work Jitesh!</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C5603AQEqwKY0pUFMPw/profile-displayphoto-shrink_200_200/0/1600451468953?e=1684972800&amp;v=beta&amp;t=OrTtzZ5irDnI281Exkk9CYyyn8Mfg42biCxa2BqDlcc">
+                                    <h5>Saeed</h5>
+                                    <p>Senior Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                    <li class="item">
+                        <div class="testimonial same-height-always">
+                            <div class="text">
+                                <p>Jitesh was extremely good at targeting the DOs and DON&rsquo;Ts during the interview. His familiarity and broad exposure to systems design and database design concepts reflects the way he guides others in correct decision making during the design interviews. To add to his technical expertise and being up-to-date on the systems design areas, is his profound quality of going above and beyond to help candidates aces through the interviews. He never shuns off from taking the ownership of guiding the candidates throughout the process though he gets paid just for the one hour sessions here. Being extremely approachable is another quality that I like the most in him.</p>
+                            </div>
+                            <div class="bottom">
+                                <div class="icon"><i class="fas fa-quote-left"></i>
+                                </div>
+                                <div class="name-picture">
+                                    <img class="" alt="" src="https://media.licdn.com/dms/image/C4D03AQFdMv5-m_JRtg/profile-displayphoto-shrink_200_200/0/1657740760304?e=1684972800&amp;v=beta&amp;t=VrCn2cSmN1rYW96c5i0wjQUdgjpLiaO_hctl4W1RAOI">
+                                    <h5>Venkata</h5>
+                                    <p>Data Engineer</p>
+                                </div>
+                            </div>
+                        </div>
+                    </li>
+                    
+                </ul>
+                
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+
+                        <div class="content">
+                            <h4><a href="https://canadiandataguy.com/blog/1-on-1-coaching/">1 on 1 Interview Coaching</a></h4>
+                            <p class="author-category">
+			    
+                            
+                            </p>
+                            
+                            <p class="intro">Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</p>
+                            <p class="read-more">
+                              <a href="https://canadiandataguy.com/blog/1-on-1-coaching/" class="btn btn-template-main">Continue reading</a>
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+                              <a href="https://canadiandataguy.com/blog/youtube/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/sitemap.xml b/public/sitemap.xml
new file mode 100644
index 000000000..8907a8240
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+<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
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+    <loc>https://canadiandataguy.com/blog/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/concurrency/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/databricks/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/delta/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/spark/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/</loc>
+    <lastmod>2023-09-30T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</loc>
+    <lastmod>2023-09-15T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/dbsql/</loc>
+    <lastmod>2023-09-15T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</loc>
+    <lastmod>2023-09-12T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/foreachbatch/</loc>
+    <lastmod>2023-06-06T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</loc>
+    <lastmod>2023-06-06T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/streaming/</loc>
+    <lastmod>2023-06-06T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</loc>
+    <lastmod>2023-04-23T21:38:16+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/cost-savings/</loc>
+    <lastmod>2023-04-23T21:38:16+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/parallelization/</loc>
+    <lastmod>2023-04-23T21:38:16+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/python/</loc>
+    <lastmod>2023-04-23T21:38:16+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/graviton/</loc>
+    <lastmod>2023-04-23T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</loc>
+    <lastmod>2023-04-23T17:29:06+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/best-practices/</loc>
+    <lastmod>2023-04-19T01:04:45+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/spark-streaming/</loc>
+    <lastmod>2023-04-19T01:04:45+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</loc>
+    <lastmod>2023-04-19T01:04:45+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/checkpoint/</loc>
+    <lastmod>2023-03-23T06:32:42+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/spark-stream-stream-join/</loc>
+    <lastmod>2023-03-23T06:32:42+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/spark-streaming/</loc>
+    <lastmod>2023-03-23T06:32:42+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/streaming/</loc>
+    <lastmod>2023-03-23T06:32:42+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</loc>
+    <lastmod>2023-03-21T06:14:44+00:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/delta-live-tables/</loc>
+    <lastmod>2023-03-03T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</loc>
+    <lastmod>2023-03-03T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</loc>
+    <lastmod>2023-02-23T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</loc>
+    <lastmod>2023-02-23T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/job_id/</loc>
+    <lastmod>2023-02-23T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/run_id/</loc>
+    <lastmod>2023-02-23T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/workspace/</loc>
+    <lastmod>2023-02-23T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/books/</loc>
+    <lastmod>2023-01-27T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/coaching/</loc>
+    <lastmod>2023-01-27T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</loc>
+    <lastmod>2023-01-27T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/interviewing/</loc>
+    <lastmod>2023-01-27T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</loc>
+    <lastmod>2023-01-25T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</loc>
+    <lastmod>2023-01-25T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/kafka/</loc>
+    <lastmod>2023-01-25T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</loc>
+    <lastmod>2022-12-13T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/merge/</loc>
+    <lastmod>2022-10-13T04:09:03-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</loc>
+    <lastmod>2022-10-13T04:09:03-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/optimize/</loc>
+    <lastmod>2022-10-13T04:09:03-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/z-order/</loc>
+    <lastmod>2022-10-13T04:09:03-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</loc>
+    <lastmod>2022-10-12T04:06:14-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/arcresources/</loc>
+    <lastmod>2022-05-24T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/categories/customer-stories/</loc>
+    <lastmod>2022-05-24T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/tags/spark/</loc>
+    <lastmod>2022-05-24T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/audantic/</loc>
+    <lastmod>2022-05-05T17:35:21-05:00</lastmod>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/1-on-1-coaching/</loc>
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+  </url><url>
+    <loc>https://canadiandataguy.com/databricks-customer-success-stories/</loc>
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+  </url><url>
+    <loc>https://canadiandataguy.com/tags/youtube/</loc>
+  </url><url>
+    <loc>https://canadiandataguy.com/blog/youtube/</loc>
+  </url>
+</urlset>
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+                                    <h2><a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/">How to prepare yourself to be better at Data Interviews?</a></h2>
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+                                          
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/"><i class="far fa-calendar"></i> January 27, 2023</a>
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+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp; Big Data fundamentals. Here is how to prepare for each of them.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/" class="btn btn-template-main">Continue reading</a>
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new file mode 100644
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+    <title>books on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/books/</link>
+    <description>Recent content in books on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
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+      <title>How to prepare yourself to be better at Data Interviews?</title>
+      <link>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</link>
+      <pubDate>Fri, 27 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoprepareyourselftobebetteratdatainterviews/</guid>
+      <description>How to prepare yourself to be better at Data Interviews? In this blog, let’s talk about some specific actions you can take to perform better at Data Interviews. Below is general advice based on my experience coaching 100+ candidates and my industry experience being on both sides of the table.
+Popular skill set as of 2023 still seems to be SQL, Python &amp;amp; Big Data fundamentals. Here is how to prepare for each of them.</description>
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+                <h1>checkpoint</h1>
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+    </div>
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+            <div class="container">
+                <div class="row">
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+                                      <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">How to write your first Spark application with Stream-Stream Joins with working code.</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/"><i class="far fa-calendar"></i> March 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">
+                                          
+                                          <img src="https://images.unsplash.com/photo-1574645434327-cb7970fe2e13?ixlib=rb-4.0.3&amp;ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&amp;auto=format&amp;fit=crop&amp;w=774&amp;q=80" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">Dive Deep into Spark Streaming Checkpoint</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
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+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/"><i class="far fa-calendar"></i> March 21, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*42drq4qeYGri5KRH" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">How to upgrade your Spark Stream application with a new checkpoint!</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+                                            
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+                                            
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
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diff --git a/public/tags/checkpoint/index.xml b/public/tags/checkpoint/index.xml
new file mode 100644
index 000000000..51b928439
--- /dev/null
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+  <channel>
+    <title>checkpoint on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/checkpoint/</link>
+    <description>Recent content in checkpoint on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 23 Mar 2023 06:32:42 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/checkpoint/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>How to write your first Spark application with Stream-Stream Joins with working code.</title>
+      <link>https://canadiandataguy.com/blog/spark-stream-stream-join/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/spark-stream-stream-join/</guid>
+      <description>How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</description>
+    </item>
+    <item>
+      <title>Dive Deep into Spark Streaming Checkpoint</title>
+      <link>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</link>
+      <pubDate>Tue, 21 Mar 2023 06:14:44 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</guid>
+      <description>From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</description>
+    </item>
+    <item>
+      <title>How to upgrade your Spark Stream application with a new checkpoint!</title>
+      <link>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</guid>
+      <description>How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</description>
+    </item>
+  </channel>
+</rss>
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new file mode 100644
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new file mode 100644
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+                                    <p class="intro">Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</p>
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">Solving Delta Table Concurrency Issues</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/"><i class="far fa-calendar"></i> September 30, 2023</a>
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+                                    <p class="intro">Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
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diff --git a/public/tags/concurrency/index.xml b/public/tags/concurrency/index.xml
new file mode 100644
index 000000000..df779d568
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+    <title>concurrency on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/concurrency/</link>
+    <description>Recent content in concurrency on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
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+      <title>Solving Delta Table Concurrency Issues</title>
+      <link>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</guid>
+      <description>Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</description>
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/">A Productive Life: How to Parallelize Code Execution in Python</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/"><i class="far fa-calendar"></i> April 23, 2023</a>
+                                        </p>
+                                        
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+                                    
+                                    <p class="intro">A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/" class="btn btn-template-main">Continue reading</a>
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+                                      <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">How to Cut Your Data Processing Costs by 30% with Graviton</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
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+                                          in 
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+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/"><i class="far fa-calendar"></i> April 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/" class="btn btn-template-main">Continue reading</a>
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+      <title>A Productive Life: How to Parallelize Code Execution in Python</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</link>
+      <pubDate>Sun, 23 Apr 2023 21:38:16 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</guid>
+      <description>A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</description>
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+    <item>
+      <title>How to Cut Your Data Processing Costs by 30% with Graviton</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</link>
+      <pubDate>Sun, 23 Apr 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/</guid>
+      <description>How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</description>
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+                                            <a href="https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/"><i class="far fa-calendar"></i> September 15, 2023</a>
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+                                    <p class="intro">Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</p>
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diff --git a/public/tags/dbsql/index.xml b/public/tags/dbsql/index.xml
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+    <title>dbsql on Canadian Data Guy</title>
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+    <description>Recent content in dbsql on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
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+    <atom:link href="https://canadiandataguy.com/tags/dbsql/index.xml" rel="self" type="application/rss+xml" />
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+      <title>Databricks SQL Dashboards Guide: Tips and Tricks to Master Thems</title>
+      <link>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</link>
+      <pubDate>Fri, 15 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-15-databricks-sql-dashboards-guide-tips-and-tricks-to-master-them/</guid>
+      <description>Databricks SQL Dashboards Guide: Tips and Tricks to Master Them Welcome to the world of Databricks SQL Dashboards! You&amp;rsquo;re in the right place if you want to learn how to go beyond just building visualizations and add some tricks to your arsenal. This guide will walk you through creating, managing, and optimizing your Databricks SQL dashboards.
+1. Getting Started with Viewing and Organizing Dashboards: Accessing Your Dashboards: Navigate to the workspace browser and click “Workspace” in the sidebar.</description>
+    </item>
+  </channel>
+</rss>
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+                <h1>delta live tables</h1>
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+</div>
+
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+        <div id="content">
+            <div class="container">
+                <div class="row">
+                    
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+
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+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*fnEnj3G9nKFHpHUI" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/">Delta Live Tables Advanced Q &amp; A</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/"><i class="far fa-calendar"></i> March 3, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Delta Live Tables Advanced Q &amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/deltalivetablesadvancedqa/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*42drq4qeYGri5KRH" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/">How to upgrade your Spark Stream application with a new checkpoint!</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
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+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*-xOdeCgLJ0kOG2oG" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/">How to parameterize Delta Live Tables and import reusable functions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                        
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+                                        
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+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/"><i class="far fa-calendar"></i> December 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/" class="btn btn-template-main">Continue reading</a>
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+                                      <a href="https://canadiandataguy.com/blog/audantic/">
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+                                  </div>
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+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
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+                                          in 
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+                                              <a href="/categories/customer-stories">customer stories</a>, 
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
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diff --git a/public/tags/delta-live-tables/index.xml b/public/tags/delta-live-tables/index.xml
new file mode 100644
index 000000000..0b2fc6f6b
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+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>delta live tables on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/delta-live-tables/</link>
+    <description>Recent content in delta live tables on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Fri, 03 Mar 2023 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/delta-live-tables/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Delta Live Tables Advanced Q &amp; A</title>
+      <link>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</link>
+      <pubDate>Fri, 03 Mar 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/deltalivetablesadvancedqa/</guid>
+      <description>Delta Live Tables Advanced Q &amp;amp; A This is primarily written for those trying to handle edge cases.
+Q1.) How can a single/unified table be built with historical backfill and ongoing streaming Kafka data? The streaming table built using DLT allows writes to the table outside of the DLT. Thus, you can build and run your DLT pipeline with Kafka as a source, generating the physical table with a name. Then, you can do a streaming write to this table outside DLT.</description>
+    </item>
+    <item>
+      <title>How to upgrade your Spark Stream application with a new checkpoint!</title>
+      <link>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</guid>
+      <description>How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</description>
+    </item>
+    <item>
+      <title>How to parameterize Delta Live Tables and import reusable functions</title>
+      <link>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</link>
+      <pubDate>Tue, 13 Dec 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoparameterizedeltalivetablesandimportreusablefunctions/</guid>
+      <description>How to parameterize Delta Live Tables and import reusable functions with working code This blog will discuss passing custom parameters to a Delta Live Tables (DLT) pipeline. Furthermore, we will discuss importing functions defined in other files or locations. You can import files from the current directory or a specified location using sys.path.append().
+Update: As of *December 2022, you can directly import files if the reusable_functions.py file exists in the same repository by just using the import command, which is the preferred approach.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/tags/delta-live-tables/page/1/index.html b/public/tags/delta-live-tables/page/1/index.html
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/">Solving Delta Table Concurrency Issues</a></h2>
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+                                        <p class="author-category">
+                                          
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+                                          in 
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+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/"><i class="far fa-calendar"></i> September 30, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
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+                                      <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/11438/0*57KLQ0FORwBigKqQ" class="img-responsive" alt="">
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+                                  </div>
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+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
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+                                          in 
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+                                              <a href="/categories/databricks">databricks</a>, 
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/"><i class="far fa-calendar"></i> September 12, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
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+                                        
+                                            
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+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/"><i class="far fa-calendar"></i> June 6, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*cz6kE2uu4BUvfTo6.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/best-practices">best practices</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                        
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+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/"><i class="far fa-calendar"></i> April 19, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/arcresources/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/05/db-120-blog-img-1.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/arcresources/">ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
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+                                            
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+                                            
+                                        
+                                            
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/arcresources/"><i class="far fa-calendar"></i> May 24, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/arcresources/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
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+                        </section>
+                        
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+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/audantic/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/04/db-80-blog-img-2.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
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+                                            
+                                        
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+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/audantic/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
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diff --git a/public/tags/delta/index.xml b/public/tags/delta/index.xml
new file mode 100644
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--- /dev/null
+++ b/public/tags/delta/index.xml
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+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>delta on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/delta/</link>
+    <description>Recent content in delta on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Sat, 30 Sep 2023 17:29:06 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/delta/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Solving Delta Table Concurrency Issues</title>
+      <link>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-29-solvingdeltatableconcurrencyissuespracticalcodesolutionsinsights/</guid>
+      <description>Solving Delta Table Concurrency Issues Delta Lake is a powerful technology for bringing ACID transactions to your data lakes. It allows multiple operations to be performed on a dataset concurrently. However, dealing with concurrent operations can sometimes be tricky and may lead to issues such as ConcurrentAppendException, ConcurrentDeleteReadException, and ConcurrentDeleteDeleteException. In this blog post, we will explore why these issues occur and how to handle them effectively using a Python function, and how to avoid them with table design and using isolation levels and write conflicts.</description>
+    </item>
+    <item>
+      <title>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale</title>
+      <link>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</link>
+      <pubDate>Tue, 12 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-09-12-optimizing-databricks-sql-achieving-blazing-fast-query-speeds-at-scale/</guid>
+      <description>Optimizing Databricks SQL: Achieving Blazing-Fast Query Speeds at Scale In this data age, delivering a seamless user experience is paramount. While there are numerous ways to measure this experience, one metric stands tall when evaluating the responsiveness of applications and databases: the P99 latency. Especially vital for SQL queries, this seemingly esoteric number is, in reality, a powerful gauge of the experience we provide to our customers. Why is it so crucial?</description>
+    </item>
+    <item>
+      <title>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</title>
+      <link>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</guid>
+      <description>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp;amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</description>
+    </item>
+    <item>
+      <title>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</link>
+      <pubDate>Wed, 19 Apr 2023 01:04:45 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-18-spark-streaming-best-practices-a-bare-minimum-checklist-for-beginners-and-advanced-users/</guid>
+      <description>Spark Streaming Best Practices-A bare minimum checklist for Beginners and Advanced Users Most good things in life come with a nuance. While learning Streaming a few years ago, I spent hours searching for best practices. However, I would find answers to be complicated to make sense for a beginner’s mind. Thus, I devised a set of best practices that should hold true in almost all scenarios.
+The below checklist is not ordered, you should aim to check off as many items as you can.</description>
+    </item>
+    <item>
+      <title>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</title>
+      <link>https://canadiandataguy.com/blog/arcresources/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/arcresources/</guid>
+      <description>ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/tags/delta/page/1/index.html b/public/tags/delta/page/1/index.html
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+++ b/public/tags/delta/page/1/index.html
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+<html lang="en-us">
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new file mode 100644
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+                                      <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
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+                                          
+                                          in 
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+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
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+                                        </p>
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+                                        
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/"><i class="far fa-calendar"></i> June 6, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
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+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">
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+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
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+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/tags/foreachbatch/index.xml b/public/tags/foreachbatch/index.xml
new file mode 100644
index 000000000..b98b254e0
--- /dev/null
+++ b/public/tags/foreachbatch/index.xml
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+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>foreachbatch on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/foreachbatch/</link>
+    <description>Recent content in foreachbatch on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Tue, 06 Jun 2023 17:29:06 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/foreachbatch/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</title>
+      <link>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</guid>
+      <description>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp;amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</description>
+    </item>
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/">How to Cut Your Data Processing Costs by 30% with Graviton</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-how-to-cut-your-data-processing-costs-by-30-with-graviton/"><i class="far fa-calendar"></i> April 23, 2023</a>
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+                                    <p class="intro">How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</p>
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+      <description>How to Cut Your Data Processing Costs by 30% with Graviton What is AWS Graviton ? AWS Graviton is a family of Arm-based processors that are designed by AWS to provide cost-effective and high-performance computing for cloud workloads. Graviton processors are built using 64-bit Arm, which are optimized for power efficiency and performance. They offer a more cost-effective alternative to traditional x86-based processors, making them a popular choice for running a variety of workloads on AWS.</description>
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diff --git a/public/tags/index.xml b/public/tags/index.xml
new file mode 100644
index 000000000..ab59df924
--- /dev/null
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+    <title>Tags on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/</link>
+    <description>Recent content in Tags on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Sat, 30 Sep 2023 17:29:06 +0000</lastBuildDate>
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+    <item>
+      <title>concurrency</title>
+      <link>https://canadiandataguy.com/tags/concurrency/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/concurrency/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>delta</title>
+      <link>https://canadiandataguy.com/tags/delta/</link>
+      <pubDate>Sat, 30 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/delta/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>dbsql</title>
+      <link>https://canadiandataguy.com/tags/dbsql/</link>
+      <pubDate>Fri, 15 Sep 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/dbsql/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>foreachbatch</title>
+      <link>https://canadiandataguy.com/tags/foreachbatch/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/foreachbatch/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>streaming</title>
+      <link>https://canadiandataguy.com/tags/streaming/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/streaming/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>cost-savings</title>
+      <link>https://canadiandataguy.com/tags/cost-savings/</link>
+      <pubDate>Sun, 23 Apr 2023 21:38:16 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/cost-savings/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>parallelization</title>
+      <link>https://canadiandataguy.com/tags/parallelization/</link>
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+    <item>
+      <title>python</title>
+      <link>https://canadiandataguy.com/tags/python/</link>
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+      <guid>https://canadiandataguy.com/tags/python/</guid>
+      <description></description>
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+    <item>
+      <title>graviton</title>
+      <link>https://canadiandataguy.com/tags/graviton/</link>
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+      <guid>https://canadiandataguy.com/tags/graviton/</guid>
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+    </item>
+    <item>
+      <title>checkpoint</title>
+      <link>https://canadiandataguy.com/tags/checkpoint/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/checkpoint/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>spark streaming</title>
+      <link>https://canadiandataguy.com/tags/spark-streaming/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/spark-streaming/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>delta live tables</title>
+      <link>https://canadiandataguy.com/tags/delta-live-tables/</link>
+      <pubDate>Fri, 03 Mar 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/delta-live-tables/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>job_id</title>
+      <link>https://canadiandataguy.com/tags/job_id/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/job_id/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>run_id</title>
+      <link>https://canadiandataguy.com/tags/run_id/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/run_id/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>workspace</title>
+      <link>https://canadiandataguy.com/tags/workspace/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/workspace/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>books</title>
+      <link>https://canadiandataguy.com/tags/books/</link>
+      <pubDate>Fri, 27 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/books/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>kafka</title>
+      <link>https://canadiandataguy.com/tags/kafka/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/kafka/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>merge</title>
+      <link>https://canadiandataguy.com/tags/merge/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/merge/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>optimize</title>
+      <link>https://canadiandataguy.com/tags/optimize/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/optimize/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>z order</title>
+      <link>https://canadiandataguy.com/tags/z-order/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/z-order/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>spark</title>
+      <link>https://canadiandataguy.com/tags/spark/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/tags/spark/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>coaching</title>
+      <link>https://canadiandataguy.com/tags/coaching/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/coaching/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>interviewing</title>
+      <link>https://canadiandataguy.com/tags/interviewing/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/interviewing/</guid>
+      <description></description>
+    </item>
+    <item>
+      <title>youtube</title>
+      <link>https://canadiandataguy.com/tags/youtube/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/tags/youtube/</guid>
+      <description></description>
+    </item>
+  </channel>
+</rss>
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+                                    <h2><a href="https://canadiandataguy.com/blog/1-on-1-coaching/">1 on 1 Interview Coaching</a></h2>
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+                                    <p class="intro">Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</p>
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diff --git a/public/tags/interviewing/index.xml b/public/tags/interviewing/index.xml
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+    <title>interviewing on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/interviewing/</link>
+    <description>Recent content in interviewing on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <atom:link href="https://canadiandataguy.com/tags/interviewing/index.xml" rel="self" type="application/rss+xml" />
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+      <title>1 on 1 Interview Coaching</title>
+      <link>https://canadiandataguy.com/blog/1-on-1-coaching/</link>
+      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/1-on-1-coaching/</guid>
+      <description>Welcome! I am a Super Coach . I have worked at some of the biggest tech companies, including Databricks &amp;amp; Amazon. I make great efforts to use my platform to share resources and show folks the path of growth that exists without taking the management ladder track while inspiring many immigrants and people of colour to understand and realize their true market potential. To further my mission, I help folks negotiate job offers, $2+ Million negotiated so far.</description>
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+                                    <h2><a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/">How to get the Job ID and Run ID for a Databricks Job</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/"><i class="far fa-calendar"></i> February 23, 2023</a>
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+                                    <p class="intro">How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&quot;&quot;&quot; job_id: {dbutils.</p>
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diff --git a/public/tags/job_id/index.xml b/public/tags/job_id/index.xml
new file mode 100644
index 000000000..3d49b678e
--- /dev/null
+++ b/public/tags/job_id/index.xml
@@ -0,0 +1,23 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>job_id on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/job_id/</link>
+    <description>Recent content in job_id on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 23 Feb 2023 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/job_id/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>How to get the Job ID and Run ID for a Databricks Job</title>
+      <link>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</guid>
+      <description>How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&amp;quot;&amp;quot;&amp;quot; job_id: {dbutils.</description>
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+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
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+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/tags/kafka/index.xml b/public/tags/kafka/index.xml
new file mode 100644
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+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>kafka on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/kafka/</link>
+    <description>Recent content in kafka on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Wed, 25 Jan 2023 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/kafka/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>How to upgrade your Spark Stream application with a new checkpoint!</title>
+      <link>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtoupgradeyoursparkstreamapplicationwithanewcheckpoint/</guid>
+      <description>How to upgrade your Spark Stream application with a new checkpoint With working code Sometimes in life, we need to make breaking changes which require us to create a new checkpoint. Some example scenarios:
+You are doing a code/application change where you are changing logic
+Major Spark Version upgrade from Spark 2.x to Spark 3.x
+The previous deployment was wrong, and you want to reprocess from a certain point
+There could be plenty of scenarios where you want to control precisely which data(Kafka offsets) need to be processed.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
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+  </channel>
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+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
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+                                          
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+                                          in 
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+                                              <a href="/categories/streaming">streaming</a>, 
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
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+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
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+                                          
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+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
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+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
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+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/tags/merge/index.xml b/public/tags/merge/index.xml
new file mode 100644
index 000000000..cf65206ba
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+  <channel>
+    <title>merge on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/merge/</link>
+    <description>Recent content in merge on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 13 Oct 2022 04:09:03 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/merge/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
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diff --git a/public/tags/merge/page/1/index.html b/public/tags/merge/page/1/index.html
new file mode 100644
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+++ b/public/tags/merge/page/1/index.html
@@ -0,0 +1,10 @@
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new file mode 100644
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+                                          
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+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
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+                                            
+                                        
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+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/format:webp/0*7Vzrx4tKynxXNKNg.jpg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/arcresources/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/05/db-120-blog-img-1.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/arcresources/">ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/arcresources/"><i class="far fa-calendar"></i> May 24, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/arcresources/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/audantic/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/04/db-80-blog-img-2.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/audantic/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/tags/optimize/index.xml b/public/tags/optimize/index.xml
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+    <title>optimize on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/optimize/</link>
+    <description>Recent content in optimize on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 13 Oct 2022 04:09:03 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/optimize/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
+    </item>
+    <item>
+      <title>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</title>
+      <link>https://canadiandataguy.com/blog/arcresources/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/arcresources/</guid>
+      <description>ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/">A Productive Life: How to Parallelize Code Execution in Python</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/"><i class="far fa-calendar"></i> April 23, 2023</a>
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+                                    <p class="intro">A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</p>
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diff --git a/public/tags/parallelization/index.xml b/public/tags/parallelization/index.xml
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+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>parallelization on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/parallelization/</link>
+    <description>Recent content in parallelization on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Sun, 23 Apr 2023 21:38:16 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/parallelization/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>A Productive Life: How to Parallelize Code Execution in Python</title>
+      <link>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</link>
+      <pubDate>Sun, 23 Apr 2023 21:38:16 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</guid>
+      <description>A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</description>
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diff --git a/public/tags/python/index.html b/public/tags/python/index.html
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+                                    <h2><a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/">A Productive Life: How to Parallelize Code Execution in Python</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/"><i class="far fa-calendar"></i> April 23, 2023</a>
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+                                    <p class="intro">A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
+In this blog post, we will explore the asyncio module in Python 3.10 and learn how to run tasks in parallel using the new features introduced in this version.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/tags/python/index.xml b/public/tags/python/index.xml
new file mode 100644
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+      <guid>https://canadiandataguy.com/blog/2023-04-23-a-productive-life-how-to-parallelize-code-execution-in-python/</guid>
+      <description>A Productive Life: How to Parallelize Code Execution in Python Asynchronous programming has become increasingly popular in recent years, especially in web development, where it is used to build high-performance, scalable applications. Python has built-in support for asynchronous programming through the asyncio module, which provides a powerful framework for writing asynchronous code.
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+                                    <h2><a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/">How to get the Job ID and Run ID for a Databricks Job</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/"><i class="far fa-calendar"></i> February 23, 2023</a>
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+                                    <p class="intro">How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&quot;&quot;&quot; job_id: {dbutils.</p>
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diff --git a/public/tags/run_id/index.xml b/public/tags/run_id/index.xml
new file mode 100644
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
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+    <title>run_id on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/run_id/</link>
+    <description>Recent content in run_id on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
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+    <lastBuildDate>Thu, 23 Feb 2023 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/run_id/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>How to get the Job ID and Run ID for a Databricks Job</title>
+      <link>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howtogetthejobidandrunidforadatabricksjob/</guid>
+      <description>How to get the Job ID and Run ID for a Databricks Job with working code Sometimes there is a need to store or print system-generated values like job_id, run_id, start_time, etc. These entities are called ‘task parameter variables’. A list of supported parameters is listed here.
+This is a simple 2-step process:
+Pass the parameter when defining the job/task
+Get/Fetch and print the values
+Step 1: Pass the parameters Step 2: Get/Fetch and print the values print(f&amp;quot;&amp;quot;&amp;quot; job_id: {dbutils.</description>
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+                <h1>spark streaming</h1>
+            </div>
+        </div>
+    </div>
+</div>
+
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+        <div id="content">
+            <div class="container">
+                <div class="row">
+                    
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+                    <div class="col-md-9" id="blog-listing-medium">
+
+                        
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+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">How to write your first Spark application with Stream-Stream Joins with working code.</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/"><i class="far fa-calendar"></i> March 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">
+                                          
+                                          <img src="https://images.unsplash.com/photo-1574645434327-cb7970fe2e13?ixlib=rb-4.0.3&amp;ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&amp;auto=format&amp;fit=crop&amp;w=774&amp;q=80" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">Dive Deep into Spark Streaming Checkpoint</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/"><i class="far fa-calendar"></i> March 21, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/arcresources/">
+                                          
+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/05/db-120-blog-img-1.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/arcresources/">ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>
+                                          
+                                          
+
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+                                        
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+                                            
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+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/arcresources/"><i class="far fa-calendar"></i> May 24, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/arcresources/" class="btn btn-template-main">Continue reading</a>
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+                                      <a href="https://canadiandataguy.com/blog/audantic/">
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+                                          <img src="https://www.databricks.com/wp-content/uploads/2022/04/db-80-blog-img-2.png" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/customer-stories">customer stories</a>, 
+                                              <a href="/categories/databricks">databricks</a>
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+                                        </p>
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+                                        
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
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diff --git a/public/tags/spark-streaming/index.xml b/public/tags/spark-streaming/index.xml
new file mode 100644
index 000000000..21b917a1e
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+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>spark streaming on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/spark-streaming/</link>
+    <description>Recent content in spark streaming on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 23 Mar 2023 06:32:42 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/spark-streaming/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>How to write your first Spark application with Stream-Stream Joins with working code.</title>
+      <link>https://canadiandataguy.com/blog/spark-stream-stream-join/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/spark-stream-stream-join/</guid>
+      <description>How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</description>
+    </item>
+    <item>
+      <title>Dive Deep into Spark Streaming Checkpoint</title>
+      <link>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</link>
+      <pubDate>Tue, 21 Mar 2023 06:14:44 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</guid>
+      <description>From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</description>
+    </item>
+    <item>
+      <title>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</title>
+      <link>https://canadiandataguy.com/blog/arcresources/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/arcresources/</guid>
+      <description>ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/tags/spark-streaming/page/1/index.html b/public/tags/spark-streaming/page/1/index.html
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+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/arcresources/">ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
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+                                              <a href="/categories/customer-stories">customer stories</a>
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/arcresources/"><i class="far fa-calendar"></i> May 24, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/arcresources/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
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+                                          
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+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/audantic/">How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
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+                                              <a href="/categories/customer-stories">customer stories</a>, 
+                                              <a href="/categories/databricks">databricks</a>
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/audantic/"><i class="far fa-calendar"></i> May 5, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/audantic/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
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diff --git a/public/tags/spark/index.xml b/public/tags/spark/index.xml
new file mode 100644
index 000000000..c83c7a3ff
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+++ b/public/tags/spark/index.xml
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+  <channel>
+    <title>spark on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/spark/</link>
+    <description>Recent content in spark on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Tue, 24 May 2022 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/spark/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>ARC Uses a Lakehouse Architecture for Real-time Data Insights That Optimize Drilling Performance and Lower Carbon Emissions</title>
+      <link>https://canadiandataguy.com/blog/arcresources/</link>
+      <pubDate>Tue, 24 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/arcresources/</guid>
+      <description>ARC has deployed the Databricks Lakehouse Platform to enable its drilling engineers to monitor operational metrics in near real-time, so that we can proactively identify any potential issues and enable agile mitigation measures. In addition to improving drilling precision, this solution has helped us in reducing drilling time for one of our fields. Time saving translates to reduction in fuel used and therefore a reduction in CO2 footprint that result from drilling operations.</description>
+    </item>
+    <item>
+      <title>How Audantic Uses Databricks Delta Live Tables to Increase Productivity for Real Estate Market Segments</title>
+      <link>https://canadiandataguy.com/blog/audantic/</link>
+      <pubDate>Thu, 05 May 2022 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/audantic/</guid>
+      <description>To support our data-driven initiatives, we had ‘stitched’ together various services for ETL, orchestration, ML leveraging AWS, Airflow, where we saw some success but quickly turned into an overly complex system that took nearly five times as long to develop compared to the new solution. Our team captured high-level metrics comparing our previous implementation and current lakehouse solution. As you can see from the table below, we spent months developing our previous solution and had to write approximately 3 times as much code.</description>
+    </item>
+  </channel>
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+            <div class="container">
+                <div class="row">
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+                                      <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/12000/0*nt5TZ66S99XLguFB" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/databricks">databricks</a>, 
+                                              <a href="/categories/spark">spark</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/"><i class="far fa-calendar"></i> June 6, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">
+                                          
+                                          <img src="https://cdn-images-1.medium.com/max/2560/1*eds6wrWUDMfdL9I48-heFQ.jpeg" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/">How to write your first Spark application with Stream-Stream Joins with working code.</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/spark-stream-stream-join/"><i class="far fa-calendar"></i> March 23, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/spark-stream-stream-join/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">
+                                          
+                                          <img src="https://images.unsplash.com/photo-1574645434327-cb7970fe2e13?ixlib=rb-4.0.3&amp;ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&amp;auto=format&amp;fit=crop&amp;w=774&amp;q=80" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/">Dive Deep into Spark Streaming Checkpoint</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/"><i class="far fa-calendar"></i> March 21, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
+                        <section class="post">
+                            <div class="row">
+                                <div class="col-md-4">
+                                  <div class="image">
+                                      <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">
+                                          
+                                          <img src="https://miro.medium.com/v2/resize:fit:720/0*IUhD1QKtwgHKBdb8" class="img-responsive" alt="">
+                                          
+                                      </a>
+                                  </div>
+                                </div>
+                                <div class="col-md-8">
+                                    <h2><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/">How I wrote my first Spark Streaming Application with Joins?</a></h2>
+                                    <div class="clearfix">
+                                        <p class="author-category">
+                                          
+                                          
+                                          
+                                          in 
+                                          
+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
+                                              <a href="/categories/databricks">databricks</a>
+                                          
+                                          
+
+                                        </p>
+                                        
+
+                                        
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
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+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+                                            
+                                        
+
+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/"><i class="far fa-calendar"></i> January 25, 2023</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/" class="btn btn-template-main">Continue reading</a>
+                                    </p>
+                                    
+                                </div>
+                            </div>
+                        </section>
+                        
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diff --git a/public/tags/streaming/index.xml b/public/tags/streaming/index.xml
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+  <channel>
+    <title>streaming on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/streaming/</link>
+    <description>Recent content in streaming on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Tue, 06 Jun 2023 17:29:06 +0000</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/streaming/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code</title>
+      <link>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</link>
+      <pubDate>Tue, 06 Jun 2023 17:29:06 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/2023-06-06-simplifying-real-time-data-processing-with-spark-streamings-foreachbatch-with-working-code/</guid>
+      <description>Simplifying Real-time Data Processing with Spark Streaming’s foreachBatch with working code Comprehensive guide to implementing a fully operational Streaming Pipeline that can be tailored to your specific needs. In this working example, you will learn how to parameterize the ForEachBatch function.
+Spark Streaming &amp;amp; foreachBatch Spark Streaming is a powerful tool for processing streaming data. It allows you to process data as it arrives, without having to wait for the entire dataset to be available.</description>
+    </item>
+    <item>
+      <title>How to write your first Spark application with Stream-Stream Joins with working code.</title>
+      <link>https://canadiandataguy.com/blog/spark-stream-stream-join/</link>
+      <pubDate>Thu, 23 Mar 2023 06:32:42 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/spark-stream-stream-join/</guid>
+      <description>How to write your first Spark application with Stream-Stream Joins with working code. Have you been waiting to try Streaming but cannot take the plunge?
+In a single blog, we will teach you whatever needs to be understood about Streaming Joins. We will give you a working code which you can use for your next Streaming Pipeline.
+The steps involved:
+Create a fake dataset at scale Set a baseline using traditional SQL Define Temporary Streaming Views Inner Joins with optional Watermarking Left Joins with Watermarking The cold start edge case: withEventTimeOrder Cleanup What is Stream-Stream Join?</description>
+    </item>
+    <item>
+      <title>Dive Deep into Spark Streaming Checkpoint</title>
+      <link>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</link>
+      <pubDate>Tue, 21 Mar 2023 06:14:44 +0000</pubDate>
+      <guid>https://canadiandataguy.com/blog/frombeginnertoproacomprehensiveguidetounderstandingthesparkstreamingcheckpoint/</guid>
+      <description>From Beginner to Pro: A Comprehensive Guide to understanding the Spark Streaming Checkpoint Spark is a distributed computing framework that allows for processing large datasets in parallel across a cluster of computers. When running a Spark job, it is not uncommon to encounter failures due to various issues such as network or hardware failures, software bugs, or even insufficient memory. One way to address these issues is to re-run the entire job from the beginning, which can be time-consuming and inefficient.</description>
+    </item>
+    <item>
+      <title>How I wrote my first Spark Streaming Application with Joins?</title>
+      <link>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</link>
+      <pubDate>Wed, 25 Jan 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/howiwrotemyfirstsparkstreamingapplicationwithjoins/</guid>
+      <description>How I wrote my first Spark Streaming Application with Joins with working code When I started learning about Spark Streaming, I could not find enough code/material which could kick-start my journey and build my confidence. I wrote this blog to fill this gap which could help beginners understand how simple streaming is and build their first application.
+In this blog, I will explain most things by first principles to increase your understanding and confidence and you walk away with code for your first Streaming application.</description>
+    </item>
+  </channel>
+</rss>
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+                                    <h2><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</a></h2>
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+                                            <a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/"><i class="far fa-calendar"></i> February 23, 2023</a>
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+                                    
+                                    <p class="intro">Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/" class="btn btn-template-main">Continue reading</a>
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diff --git a/public/tags/workspace/index.xml b/public/tags/workspace/index.xml
new file mode 100644
index 000000000..582cb9628
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>workspace on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/workspace/</link>
+    <description>Recent content in workspace on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 23 Feb 2023 17:35:21 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/workspace/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users</title>
+      <link>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</link>
+      <pubDate>Thu, 23 Feb 2023 17:35:21 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/databricksworkspacebestpracticesachecklistforbothbeginnersandadvancedusers/</guid>
+      <description>Databricks Workspace Best Practices- A checklist for both beginners and Advanced Users Most good things in life come with a nuance. While learning Databricks a few years ago, I spent hours searching for best practices. Thus, I devised a set of best rules that should hold in almost all scenarios. These will help you start on the right foot.
+Here are some basic rules for using Databricks Workspace: Version control everything: Use Repos and organize your notebooks and folders: Keep your notebooks and files in folders to make them easy to find and manage.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/tags/workspace/page/1/index.html b/public/tags/workspace/page/1/index.html
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index 000000000..e7f203b37
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new file mode 100644
index 000000000..e7935188c
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+                                    <h2><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/">Merge Multiple Spark Streams Into A Delta Table</a></h2>
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+                                          in 
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/"><i class="far fa-calendar"></i> October 13, 2022</a>
+                                        </p>
+                                        
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+                                    
+                                    <p class="intro">Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</p>
+                                    <p class="read-more"><a href="https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/" class="btn btn-template-main">Continue reading</a>
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+                                    <h2><a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/">Using Spark Streaming to merge/upsert data into a Delta Lake with working code</a></h2>
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+                                              <a href="/categories/streaming">streaming</a>, 
+                                              <a href="/categories/spark-streaming">spark streaming</a>, 
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+                                        <p class="date-comments">
+                                            <a href="https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/"><i class="far fa-calendar"></i> October 12, 2022</a>
+                                        </p>
+                                        
+                                    </div>
+                                    
+                                    <p class="intro">Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</p>
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+          <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-medium" viewBox="0 0 16 16"> <path d="M9.025 8c0 2.485-2.02 4.5-4.513 4.5A4.506 4.506 0 0 1 0 8c0-2.486 2.02-4.5 4.512-4.5A4.506 4.506 0 0 1 9.025 8zm4.95 0c0 2.34-1.01 4.236-2.256 4.236-1.246 0-2.256-1.897-2.256-4.236 0-2.34 1.01-4.236 2.256-4.236 1.246 0 2.256 1.897 2.256 4.236zM16 8c0 2.096-.355 3.795-.794 3.795-.438 0-.793-1.7-.793-3.795 0-2.096.355-3.795.794-3.795.438 0 .793 1.699.793 3.795z"/> </svg>         
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+    </ul>
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+
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+
+
+
+
+
+<div id="copyright">
+    <div class="container">
+        <div class="col-md-12">
+            
+            <p class="pull-left">Copyright (c) 2023, Canadian Data Guy Corp; all rights reserved.</p>
+            
+            <p class="pull-right">
+              Template by <a href="https://bootstrapious.com/p/universal-business-e-commerce-template">Bootstrapious</a>.
+              
+
+              Ported to Hugo by <a href="https://github.com/devcows/hugo-universal-theme">DevCows</a>.
+            </p>
+        </div>
+    </div>
+</div>
+
+
+
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+
+    </div>
+    
+
+    
+<script src="//code.jquery.com/jquery-3.1.1.min.js" integrity="sha256-hVVnYaiADRTO2PzUGmuLJr8BLUSjGIZsDYGmIJLv2b8=" crossorigin="anonymous"></script>
+<script src="//maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
+
+<script src="//cdnjs.cloudflare.com/ajax/libs/jquery-cookie/1.4.1/jquery.cookie.min.js"></script>
+<script src="//cdnjs.cloudflare.com/ajax/libs/waypoints/4.0.1/jquery.waypoints.min.js"></script>
+<script src="//cdnjs.cloudflare.com/ajax/libs/Counter-Up/1.0/jquery.counterup.min.js"></script>
+<script src="//cdnjs.cloudflare.com/ajax/libs/jquery-parallax/1.1.3/jquery-parallax.js"></script>
+
+
+<script src="/js/front.js"></script>
+
+
+<script src="/js/owl.carousel.min.js"></script>
+
+
+
+  </body>
+</html>
diff --git a/public/tags/z-order/index.xml b/public/tags/z-order/index.xml
new file mode 100644
index 000000000..1dc2bcd82
--- /dev/null
+++ b/public/tags/z-order/index.xml
@@ -0,0 +1,30 @@
+<?xml version="1.0" encoding="utf-8" standalone="yes"?>
+<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
+  <channel>
+    <title>z order on Canadian Data Guy</title>
+    <link>https://canadiandataguy.com/tags/z-order/</link>
+    <description>Recent content in z order on Canadian Data Guy</description>
+    <generator>Hugo -- gohugo.io</generator>
+    <language>en-us</language>
+    <lastBuildDate>Thu, 13 Oct 2022 04:09:03 -0500</lastBuildDate>
+    <atom:link href="https://canadiandataguy.com/tags/z-order/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Merge Multiple Spark Streams Into A Delta Table</title>
+      <link>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</link>
+      <pubDate>Thu, 13 Oct 2022 04:09:03 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/mergemultiplesparkstreamsintoadeltatable/</guid>
+      <description>Merge Multiple Spark Streams Into A Delta Table with working code This blog will discuss how to read from multiple Spark Streams and merge/upsert data into a single Delta Table. We will also optimize/cluster data of the delta table.
+Overall, the process works in the following manner:
+Read data from a streaming source
+Use this special function ***foreachBatch. ***Using this we will call any user-defined function responsible for all the processing.</description>
+    </item>
+    <item>
+      <title>Using Spark Streaming to merge/upsert data into a Delta Lake with working code</title>
+      <link>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</link>
+      <pubDate>Wed, 12 Oct 2022 04:06:14 -0500</pubDate>
+      <guid>https://canadiandataguy.com/blog/usingsparkstreamingtomergeupsertdataintoadeltalakewithworkingcode/</guid>
+      <description>Using Spark Streaming to merge/upsert data into a Delta Lake with working code This blog will discuss how to read from a Spark Streaming and merge/upsert data into a Delta Lake. We will also optimize/cluster data of the delta table. In the end, we will show how to start a streaming pipeline with the previous target table as the source.
+Overall, the process works in the following manner, we read data from a streaming source and use this special function ***foreachBatch.</description>
+    </item>
+  </channel>
+</rss>
diff --git a/public/tags/z-order/page/1/index.html b/public/tags/z-order/page/1/index.html
new file mode 100644
index 000000000..86bd7073d
--- /dev/null
+++ b/public/tags/z-order/page/1/index.html
@@ -0,0 +1,10 @@
+<!DOCTYPE html>
+<html lang="en-us">
+  <head>
+    <title>https://canadiandataguy.com/tags/z-order/</title>
+    <link rel="canonical" href="https://canadiandataguy.com/tags/z-order/">
+    <meta name="robots" content="noindex">
+    <meta charset="utf-8">
+    <meta http-equiv="refresh" content="0; url=https://canadiandataguy.com/tags/z-order/">
+  </head>
+</html>
diff --git a/remoteconfig.template.json b/remoteconfig.template.json
new file mode 100644
index 000000000..9e26dfeeb
--- /dev/null
+++ b/remoteconfig.template.json
@@ -0,0 +1 @@
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diff --git a/static/css/custom.css b/static/css/custom.css
index a74587342..91ecc4499 100644
--- a/static/css/custom.css
+++ b/static/css/custom.css
@@ -11,3 +11,5 @@
 .box-simple {
   min-height: 230px;
 }
+
+
diff --git a/static/css/style.css b/static/css/style.css
new file mode 100644
index 000000000..f010ab251
--- /dev/null
+++ b/static/css/style.css
@@ -0,0 +1,106 @@
+.social-share {
+	position: relative;
+	top: -0.5em;
+}
+ 
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+	margin: 0;
+}
+ 
+.social-share ul li p {
+	display: none;
+}
+ 
+.social-share .share-icons li {
+	padding: 0 !important;
+	padding-bottom: 10px !important;
+}
+ 
+.social-share .share-btn {
+	padding: 0.25em;
+	width: 3em;
+}
+ 
+.social-share-nav .share-btn h3{
+	color: #ffffff;
+}
+
+ul.share-icons {
+	cursor: default;
+	list-style: none;
+	padding-left: 0;
+	margin-top: 1em;
+}
+
+ul.share-icons li {
+	display: inline-block;
+	padding: 0 1em 0 0;
+}
+
+ul.share-icons li:last-child {
+	padding-right: 0;
+}
+
+ul.share-icons li > * {
+	text-decoration: none;
+	border: 0;
+}
+
+ul.share-icons li > *:before {
+	-moz-osx-font-smoothing: grayscale;
+	-webkit-font-smoothing: antialiased;
+	font-family: FontAwesome;
+	font-style: normal;
+	font-weight: normal;
+	text-transform: none !important;
+}
+
+ul.share-icons li > * .label {
+	display: none;
+}
+ 
+.share-btn {
+	display: inline-block;
+	color: #ffffff;
+	border: none;
+	border-radius: 4px;
+	box-shadow: 0 2px 0 0 rgba(0,0,0,0.2);
+	outline: none;
+	text-align: center;
+	text-decoration: none;
+}
+ 
+.share-btn:hover {
+	color: #ffffff !important;
+}
+
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+	position: relative;
+	top: 2px;
+	box-shadow: none;
+	color: #e2e2e2;
+	outline: none;
+}
+.share-btn .widget-social__link-icon {
+	margin: 0;
+}
+ 
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+.share-btn.google-plus { background: #dd4b39; }
+.share-btn.facebook    { background: #3B5998; }
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+.share-btn.reddit      { background: #ff5700; }
+.share-btn.email       { background: #444444; }
+.share-btn.whatsapp    { background: #25d366; }
+
+
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diff --git a/static/css/style.default.css b/static/css/style.default.css
index ba0eaa59d..65573e4ef 100644
--- a/static/css/style.default.css
+++ b/static/css/style.default.css
@@ -127,7 +127,7 @@ div.section {
   vertical-align: middle;
   text-align: center;
   color: #fff;
-  font-size: 12px;
+  font-size: 14px;
   line-height: 30px;
   border-radius: 15px;
 }
@@ -199,7 +199,7 @@ ul.list-style-none {
 }
 .pages-listing .item .text p {
   color: #999999;
-  font-size: 12px;
+  font-size: 14px;
   margin-bottom: 20px;
 }
 .banner {
@@ -249,7 +249,7 @@ ul.list-style-none {
 }
 #top p {
   margin: 0;
-  font-size: 12px;
+  font-size: 14px;
 }
 #top .social {
   float: right;
@@ -262,7 +262,7 @@ ul.list-style-none {
   height: 24px;
   border-radius: 12px;
   line-height: 24px;
-  font-size: 12px;
+  font-size: 14px;
   text-align: center;
 }
 #top .social a:hover {
@@ -290,7 +290,7 @@ ul.list-style-none {
   float: right;
 }
 #top .login a {
-  font-size: 12px;
+  font-size: 14px;
   color: #eeeeee;
   margin-right: 15px;
   text-decoration: none;
@@ -368,7 +368,7 @@ ul.list-style-none {
 .navbar ul.dropdown-menu li a {
   position: relative;
   color: #999999;
-  font-size: 12px;
+  font-size: 14px;
   display: block;
   -webkit-transition: all 0.2s ease-out;
   -moz-transition: all 0.2s ease-out;
@@ -421,7 +421,7 @@ ul.list-style-none {
 .navbar .yamm-content ul li a {
   position: relative;
   color: #999999;
-  font-size: 12px;
+  font-size: 14px;
   display: block;
   -webkit-transition: all 0.2s ease-out;
   -moz-transition: all 0.2s ease-out;
@@ -542,13 +542,13 @@ ul.list-style-none {
 }
 .btn-sm {
   padding: 5px 10px;
-  font-size: 12px;
+  font-size: 14px;
   line-height: 1.5;
   border-radius: 0;
 }
 .btn-xs {
   padding: 1px 5px;
-  font-size: 12px;
+  font-size: 14px;
   line-height: 1.5;
   border-radius: 0;
 }
@@ -934,7 +934,7 @@ fieldset[disabled] .btn-template-primary.active {
 }
 .panel.sidebar-menu .panel-body label {
   color: #999999;
-  font-size: 12px;
+  font-size: 14px;
 }
 .panel.sidebar-menu .panel-body label:hover {
   color: #555555;
@@ -963,7 +963,7 @@ fieldset[disabled] .btn-template-primary.active {
   display: block;
   padding: 10px 15px;
   padding-left: 30px;
-  font-size: 12px;
+  font-size: 14px;
   color: #999999;
 }
 .panel.sidebar-menu ul.nav ul li a:hover,
@@ -988,7 +988,7 @@ fieldset[disabled] .btn-template-primary.active {
   text-transform: uppercase;
   letter-spacing: 0.08em;
   font-weight: 700;
-  font-size: 12px;
+  font-size: 14px;
   text-decoration: none;
 }
 .panel.sidebar-menu ul.tag-cloud li a:hover {
@@ -1052,7 +1052,7 @@ fieldset[disabled] .btn-template-primary.active {
 .panel.sidebar-menu ul.popular li p.date,
 .panel.sidebar-menu ul.recent li p.date {
   float: right;
-  font-size: 12px;
+  font-size: 14px;
   color: #999999;
 }
 .panel.sidebar-menu ul.popular li:last-child,
@@ -1060,7 +1060,7 @@ fieldset[disabled] .btn-template-primary.active {
   border-bottom: none;
 }
 .panel.sidebar-menu .text-widget {
-  font-size: 12px;
+  font-size: 14px;
 }
 .panel.sidebar-menu.with-icons ul.nav li a:after {
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@@ -1331,7 +1331,7 @@ fieldset[disabled] .btn-template-primary.active {
 .testimonials .item .testimonial .name-picture p {
   color: #999999;
   margin: 0;
-  font-size: 12px;
+  font-size: 14px;
 }
 .testimonials .item .testimonial .name-picture img {
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@@ -1354,7 +1354,7 @@ fieldset[disabled] .btn-template-primary.active {
 }
 .team-member p.role {
   color: #999999;
-  font-size: 12px;
+  font-size: 14px;
   text-transform: uppercase;
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 }
@@ -1397,7 +1397,7 @@ fieldset[disabled] .btn-template-primary.active {
 }
 .team-member .text p {
   color: #999999;
-  font-size: 12px;
+  font-size: 14px;
 }
 .team-member .social,
 .team-member-detail .social {
@@ -2081,7 +2081,7 @@ fieldset[disabled] .btn-template-primary.active {
   color: #999999;
   text-transform: uppercase;
   font-weight: 300;
-  font-size: 12px;
+  font-size: 14px;
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 }
 #blog-listing-medium .post .author-category a {
@@ -2089,7 +2089,7 @@ fieldset[disabled] .btn-template-primary.active {
 }
 #blog-listing-medium .post .date-comments {
   float: right;
-  font-size: 12px;
+  font-size: 14px;
 }
 #blog-listing-medium .post .date-comments a {
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@@ -2159,7 +2159,7 @@ fieldset[disabled] .btn-template-primary.active {
   text-transform: uppercase;
   letter-spacing: 0.08em;
   font-weight: 300;
-  font-size: 12px;
+  font-size: 14px;
 }
 .box-image-text.blog .author-category a {
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@@ -2210,7 +2210,7 @@ fieldset[disabled] .btn-template-primary.active {
 }
 #blog-post .comment .posted {
   color: #999999;
-  font-size: 12px;
+  font-size: 14px;
 }
 #blog-post .comment .reply {
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@@ -2335,7 +2335,7 @@ fieldset[disabled] .btn-template-primary.active {
   transform: scale(1.1, 1.1);
 }
 .goToDescription {
-  font-size: 12px;
+  font-size: 14px;
   text-align: center;
   margin-bottom: 40px;
 }
@@ -2600,7 +2600,7 @@ fieldset[disabled] .btn-template-primary.active {
   margin: 0;
   text-transform: uppercase;
   letter-spacing: 0.08em;
-  font-size: 12px;
+  font-size: 14px;
 }
 #footer .blog-entries .item .name h5 a {
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@@ -2625,7 +2625,7 @@ fieldset[disabled] .btn-template-primary.active {
   background: #333;
   color: #ccc;
   padding: 50px 0;
-  font-size: 12px;
+  font-size: 14px;
   line-height: 28px;
 }
 #copyright p {
@@ -3413,7 +3413,7 @@ p {
   }
 }
 .text-small {
-  font-size: 12px;
+  font-size: 14px;
 }
 .text-large {
   font-size: 18px;
diff --git a/static/css/style.red.css b/static/css/style.red.css
index 54e66ddfb..cb6ec295c 100644
--- a/static/css/style.red.css
+++ b/static/css/style.red.css
@@ -2182,6 +2182,7 @@ fieldset[disabled] .btn-template-primary.active {
 }
 #blog-post #post-content {
   margin-bottom: 20px;
+  font-size: 18px;
 }
 #blog-post #post-content img{
   max-width: 100%;
diff --git a/static/images/about/about-content-svg.svg b/static/images/about/about-content-svg.svg
new file mode 100755
index 000000000..ac66d61ed
--- /dev/null
+++ b/static/images/about/about-content-svg.svg
@@ -0,0 +1,11 @@
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+    <linearGradient id="linear-gradient" x1="0.929" y1="0.111" x2="0.263" y2="0.935" gradientUnits="objectBoundingBox">
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+  <g id="blob-shape_1_" data-name="blob-shape (1)" transform="translate(243.193 165.277)">
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diff --git a/static/images/about/about-img.jpg b/static/images/about/about-img.jpg
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new file mode 100755
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@@ -0,0 +1,3 @@
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+</svg>
diff --git a/static/images/blog/blog-shape.svg b/static/images/blog/blog-shape.svg
new file mode 100755
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new file mode 100755
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oPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cb08AABFOAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAjPL%2FpQAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAAxADsAUABTACAAMAAwADEALgAwADAAMQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAHa4ADV2ADV8AC1cEs3pishg2FfJaEtxSn94IlU6ciwvljRcm9wVDgxsadLb0%2FGIypoPBp1Fx0xGTbQdxoAU51YoZ9RXGB0bXNPyK3JLMApRwa%2FIMy1PPoJDx39kimekZX1c%2BDSW41tEZBuFiwdwx1dRoPVA2vWPSlsSDqhNkqYfhrqlVUGD0J3HEAgZavmtLnDC5WBriSpD8Uk02KsUkJ9vCFz2CZXAd5viwGZ2xcVYRPa1bEIai51nMYlbL2ERuB2TCzLAbPWWRZ3%2FsZ%2FKBjLk8%2FgAZzK1OaxNw4oGBbsNhx6Reg5HRFVCrwa15kGmJEy5kX1YypVm%2FHo7TjKP3l%2B%2FnuCTOyiOa6S8QEJbuiGYNlCnM7tHChCHRRQHXQh7yPXASlcvc5KrNKol6orb35kbo%2BiEwl8d230cfWPwTy00bFDRYURYGchbwsoDcaR2AJsFGCrbWCzBdQ0qCobWwLfueqAzSkzaHX3yCjDlGYPV0VZqVXlqbr4poRaG5NNPMDv5MCHkLSFyABMRBhMiGSZiDgABYmwsLWDjUZCUnHwvXt0VAUy4%2FqjwVgjfUqp1evzUqutJB7DW99Cq5aEhGePsa4omKUp7LnSQUz%2BZq51pU72ApMxkaVZE9jF3IGKVnF0GlK1E6iqLJXFzy1BEv6Kr0ngCzIgVANRwCkVHYJj86Sv2dzqgVrjYKlg8W94FbPGQghEbTakZ4AoS9h0u39DOoRJTA2iirs9xa5m9Ir0KwkogoqFNVDbTIGO0%2FWuJYfp61Kq0bhgbcbnvbTDj4HBESsXMdvrvpp7Owf%2FS2EbndoEoglO%2FjigGAuLUTUmG07ZGlRCZ4QZLu81tPEgTtAvF99BxfnxNslgVYH5Jc4AfHwsiktDBO4wjgjizFMsIeBTGmIYrhtrK3tvtBu5tYB0PDMXILUkFYPM%2B5yLLGOU9DtoDLYWLQig%2B8wNRZbJZZWeK5JyKNwumLgP7X6pqgiZMFUvfCTl6Urx1gUOjzhcICumUUsiNESZCmTANkgHoh%2BKU0t1fgQYOBkNfp4MRiJysezS1Vz%2BahE7ohM0iJBn4I%2BT9RJN%2FuQk6SjQGwC%2Bom%2FSD7Zq2RxvcSjtdxHfo7NtktA46mEg5gBkTtMKu7oFb1KgqwqBLzQqZI%2Fs4QSRhYF3ani1URTcMD38kDDqlc3DChmYJTCR9WpaWrYFiXeNi7jYa1Oe%2BSP30gxVyeC10DYOakGpWaU1qkQ9OXlujEbM4A6A%2BQ243TA2QnI8mKzNXNo1HPN1CFawST6uC9dkyQTqq5bOKkkuGjz0nkj35Sr%2BQ%2FkLGg2iQMrTKImSGshnX7%2F0Jyh0JziDbTzxp3IrbosXgpchLcBJpLLUBrFbt%2FU6qXqAaNFJoeBItBoqgQlPZkpTq31s5VZsgIkFupAno5G9oKwCGRqv5294xFqOrEpewcjx%2Be06mxDkN85c0ckmWmMzbkFX9YHAf83p0EsnBywjZbcPxZw91kqg7voxasp3VfDhEDAufUx0MTddLO5kCyKkUBwOm%2FMurQH4bJQgK%2Bp14dkBBhgxpBUkTlSbTE8DDu9qKiDSCtvmPY7FRMn0wuS6XR7J%2BnpjjeaDNwiOgIKUWCP9aLb%2BXpc4toQCryp6gjCVq1Cl1Di%2BtEx4WnBp2hmGZpEksZwTSggXuqAWD4B7WAMcir2wmA%2BI43ECxUSeTDT%2BxgR3O4XFPOGxHh09lxpScampLahUbICao0db7%2F%2F%2B4CBMcCokQ7aOQ02MOzh0NEaJGGOvPR1t4sY1I55lNfQ3IkF04onnAomXxiNg2EbBbPTMBBlv%2BggPSmkb4GNFW6Ehd6nDzJlnIXFfzr1bVWQlfylDodFBbhCDf%2FVB13j441dc2rx3h4hfAWIJuZqbH%2Fwbuafg%2FnTQJ9bnMfR3U6TwYgDQJIOPOtmZW4ZHsR2VifZGaC6Pzv4ZzC2nSAaqSe09F9MxuI4UmUVA2RAUqBUIETEIAhB%2BtBhsxhVMXUmv3RPe1grhYWLM%2BPHwwO5W069qIgDXtETXZQ3741DSk%2BvO6y8k%2F7Mg6GFC5fSK02yXZ1XV0NZe8iknoIbSFnDm%2BbMP%2BBCQhoLKOeU3FVNQ%2BgPEntwkHT950cQYEYQc%2FXuL4nxwcRW2bIN%2ByskPaD5Rz6lN8LW5IDLYfuvhxlLcjWXSADeTshWsJk%2FHCuRbwjqLcx66fc6UlF33HipliQ1cvfKlgRpVcsmIsiYnJjzJIovUyqi%2F2OTQcIwt%2B3WW44BAQh%2F2GymOIscSpIt0YUePiwOCJN%2BQ60lqkSRbWi10lotzgWZsqzEI7OGFGeIoFyqli41%2FNn7LfLQ0qtxkaAwbsKZQ0D9s%2FwhBqoxhAlxCVNVF%2FJ6rsUBQ49MLtR3ICtKPLKZ%2FQPEeIRgWUNLbNR3v3tTaL8uiXO%2BOj3tSJc56KJHol9nGPuclbrQpCn4keT05ETSOQ%2FDwwKjCRLgIzBi7x%2BU7ByTZGUWcGLPY0VtXWC7kQ38C5thIGJx%2FxLM3KsoGyRwC5AFUNWPzU0QBCaVXo6z1NCclLuPVA8%2FwWuNhiAG9CPPSSlIOCuh2AQM1d6MyIEIQArIa9YenQ5ug37h9gPNDHVLImcjE91ewI7pz7HgOEVqTD%2FjREYRtEoDIfgxzDePkVvHWJAtcpCJ%2Bg2o4akZpphRUQ0U92lJcKZGJI9mnpl8UVzpMi8SBGXUAPpgcS2cDAusSE6q0hNibhCgZHLReLsA%2BSv8wF6LiDL3TogB1DsO%2FHeMg0ETucRO2hIOvbp1NVkFMclluNmBQbTy%2Bosr2bJ7oWdUtSHi1s%2B2vWxq8njY1eW4BCVr2EqSyIUuFKS9iwVF5FBGeg0hRcHwCKMtqYLBfvVSYXHdGZK3Ug95C2d%2B3t9ZWEYqq6F4TocgcDS4tI8cvEEXK1%2ByB9RofdKpHoA3eP9%2FB%2FEBG%2BIgvmwZ4Iir1SOYFEtUG%2FoVkECQqoPTdHoNpQKpA9K9k7TisAUBsKPtWgBriyeOxs1o%2B4KCIFumN744dH3Yf7X8F426LGtEhFLULhlKFgXF8Wq2D6kFSBkViLad9D9U%2FP6A%2Fr8SE7jsr9s%2Bsb5ODWI5uS6BkZJI5RQ5QDVZ5%2FKOG6Dzc1RLQKAdGkgwLiZLQdEYQ9yhQLtD5kWr4wGHTv4GqloWePyHYyuy3Ek3iQVQkdkAz0MxcsHzccdMLO8KFh7ywo4jXywraIhIicAI4dWdD5wEXBhsMklzbWc8zi8opC3IlPsLXHCWOqOgq4iPU6xyDS2tdSLnlhSFjsCCWvMRt5TAI30EHR4f16NYyzoG%2FoKgCUsW4182Wvj5gpb0bGGLe8YRIYRGVgF2hwIlEfm7eUwwLZWW%2BmmBZPggPnIKI0b6G%2BlHCncx0wkaVPRQpZKWIIrzh4yC4Ar2vTKzhVKSutNi1dSzmM73AGUXSBJrQH5J4Dfb%2BRU25tYrIVdLr4ogiwTE2i2hl39ffJWHNTSWq3PvVJplNqDTJgJcvCHYoQAuHeOew0gZGfmX3p4D0aSr1BhXbXRA1qipfS6LiggtiT1eDg4FTCWwCdAFC9FCOZ52EdrFetMBxUdC0dfnqpr0mELJE2m5FVMvwplyf0XIKclHa6%2FQrw%2FFOVkVKK71Ab5iAVWm4GA3HnkCJhYkW06XJ3TDGB9YhVW9RuC39AFUcFWwU5eTNzuck7IQty7ZC9IjAGNHuZhQ8yDWZhGUoNyhDcKYQiUDqAC782makzJ1o3XJFIEDXgObv%2BTlS%2FdAr5rn2C%2FCDmkI0WO3cSTJwSLrS5dBdkyfpxAu4XghB3jgGShG8UCorOibUp7NciZgEDLmT6eOxDegpLRk7HomganEaTmRZAAMrhobApDjFWtOxht%2BNQngtKVgGL2yy6Qnsmju6DAg4d%2FRvxHa5mBaEMcBekCMtwaPPGeKFPMsgAJTidusMLUbTAUBJMOmXRwhONkoLPqBhpTuLSYN%2Bf8aeX1NKSxF2OUST9ezObkHETTsr04iWClpoFDE8OdIiDPQJqkHhnUPTcE43OsKBGS%2Fzk6F57sqVmhZKjPxle2S%2BiIE%2BMXOiTOoRKF0Q7mbNRYGPZDp5eIdPOZHboa4CTvwnlZb0zCOW6kZJh6klDDvYghmQ2FCDKB5DD%2B0nImiNcfSzaGT8aSPzEZjMQ2GPpA1Ws4Xeysyv0zSSMVVsiOoiowo2SfYFdapUBsWIoRXMAKYdguyVcwqX%2BzVWYLiNddi8p%2BxMV4dQIoUs6SQ4C1%2FBjtBw0ocOzLmMkEv5D8N4%2FZu4gYA4ryDb5Y3gkIxdb37qMCWYmDGgsyEE00y3BZ4FgyT%2FdJLHxMQwx0gViQjWL0QyBfcufCgRYYGiCHrxez874MrcqldLCEQLkCCK6pWCnULCh%2BVK6FW%2B1nm%2BN668e16QTKWprvRw3mkwitjPefHt5QKrVumkXsvsVrHdAJrodfWckxhhzknXZ8cMVIvKphJVfhvWbhoZbbgo3fygOr8PlKcVEYLTmUbjp8rTFlPRtPrdA8tljZ0REfnhwApCZ65Igtn1gBROJdPCCb9ZIqlQUq3W89ZjSgSnUz8nEBW03JCcQ%2FSxouQtYBE7ichYHbASPB5J1%2FzVfPINn38CqTMws1KKo%2FyvNXpDgBvCI08SBLSwX5Szp6WlpzoPEio8DsNzZQqgUMoq0%2BNMALrygrOlErJohXvIJ%2F0IqziZok6OuApG2eoGAEFsTc6yWf9eRcklYZRO3PkA%2BW8aN5ME8aLNC3Kdwtm64WyqytOEW1WQIg6bOFHAs1ovo3OfCvvZASxBcxg2SRCRTTJDBKajFH0LL1kSBroe6L9xvVxMCIFS7Zo6y4ZOEIkAI9QtGVIKKBlCvUUEq2S8FiR7VkJGbvBFaS6UzQV%2BayV6NKw62tbJbEjkJ7AMC17DK399DZr%2FtE5sUtaAPwaHNj9VCoVB4VAG0iNI9IjDo0mr97FWjYeDRSr3pstZTVZ6nj5Vp3IbssG3g0r9E2eSmHY97LYobIHPnEGkKDJP15WPWtwMgS8HeLd6NEnP4mIFlRJB4zLeDeoBElpUNRIQMzLbRQsGLj3DZhQytDQPLAUE9JWHiLKAJxVTOJNZsObEiutLqwox%2BM51t7vJQhBeQm2i5bTa4D8qIUjqI1sL9G6Vha6U6IPUabeCUMIufG%2F%2F6USyxymXNlfnVinkNvKZGUjz0EWKIgZEC4WkUEr%2BgP%2BFpkIPUVM%2BQEJPxFxKDlpBEeiUSaTgCm4sEfRnBxu0eF%2FLgLp0IFHMEt8aZrsQzTF3wRw8TdpzHNGMZrHHa6nU8KCQppWBVpJ8b2Xjq278mtoTfrgfAMSAm3cYEcDw%2BzcSsXTaUyd2PH6DCU0DdBiauxpsyoKlAh9IUAzS32X%2F0d3x7h4gL36Q5sC4YzkbttmSwhenP5pxxrBEEcoAohUGB1jHGtB2%2BI0FEcCM2y8EY1e2NPXJS7wp7APp46lC7gSit7FEFQCIDnNX%2F196lJs%2BgXTyJrXAze%2FQ%2B9GEFC7p5W7W5FEooh5QlO01B1OcYDH4VTmRSO8fHPjRo4FkT9GrnUZw9pXnDplu0YFyOaAsLOkxdsu2gfYJ%2BDzBNihSUutbDbDy7VKS3KwwUTChYQkWCmldyS%2Fy05EvDGbLbpkDfbbHNGEhTSiaAEDmoKTERX3pEuKYJT%2FlNS4IawkdDACC5Jk4hgNa2EGV8yblsXoSHDrqHDJs4JDXLLA67oCyia7LABDzBMInY5gnZCpFuyyuaWXjKHRgy409j2wNaI1bGlosUnhaB5iqHHZf2%2BbDPpsIwoahsWRL69BhhyPHQBUNCyBR%2BUJzMOBRMxTVhNsS0%2B1n5kboqmNZcC%2Bt6HYVscRaBeox%2Fvv3%2FxwdoUoRvs6CamykRGihd8HTNaL%2BxRuoo3QVZvFT7xS9opWLiNbQRti9PXbNg0J5WDsxaNesdmkYOcwpiqsURuor%2BS8hhgWniGGll%2BtD55enFSsyATy9MonNXUJV5Q7eAouzR%2FP4HlA5YWBYYjm6NDAEk%2Bx9On0MGm65%2FEm1GKndnRp4cv%2FjFAdM7hnXsaXnGKAeK4aE%2F6BhOq1%2FAWmgCMQ4zC8G0wBzhuMSeeVhgAl0jpwicoR64K%2BBYlYbWz0gTGAGtI3puhx3F5%2F5QKXradYFuhJPYWq3ITCUUNLpugdVBegedngCO%2FDN5mJBWzGEL932jL1YntvCgzzLeR0WczKl0J4g8Gcbo6p5LOslpYBw4kE3ZDMiHPjBGyAUjkrWXqYTrl7gRUwex0zKVekIhoI0dsFRDtQxsLctjOlRs5Y2gYpQeBORQFR4C3hXh8EnZUzuloqFLFATXzpzv6k5XoHB3fZLNUiPV5DvAfroLwH8tYhkcOxWnHqePfQulM0DCPTadXa%2FTpoHYkh9BeeAwpmi9Kbo%2Fm88ob17pFzKP2lJpfWxbyD3PccS041A0MQWUqNDHOPOFt57Q6TiHQEKJQsI4v1JqcD7Q3orOdsLvExRQwS0nlUtV%2FpQbx0wSlrRSneWAQ%2FJhPaT6rMvIcid93ahrnKe34YxGA3D30BI2lEiLGh5iAUkBLBoXRshvpjGJGLzGcvonIqzVubgEJv4mbEl7JggQUWb6AYaQMmGUXEwIjylByVLbgcEbUQL5RFiRkX%2FbOhzb9XavzmFpR0cOdx3etgoaCPbiL5gR8o0wJNdPMCYcmyP0SDmmsW8o0O%2Fy5HNRxqz3IhmaxvIT%2FxpN8Pj%2Bx4i%2FGawfTOod%2BpvHN9BMNQUKG555l7yAKsma4r8JwVm6gxqBECXHA3e%2BdCsONR41WrcokynYzYqB0xlCdg9Nu%2FVL4rgwOiTVy8K70TghEjAOHeFBYvGwmkrDIzlwQsyBsr3K%2FEBFKO8UQ6J1hU%2FYGFA8fGgTnBoNnAmZc%2B9S%2BXnpbpJ4QKgdip6TZnI6woSQaYgxGpdaxxSuQkxu0avCBOSwchx0SS0x5HgR6iz9AkbeoDFTnGInFfbnMUP%2B8p3uSQu2CVkHxeVeEMICXKlVDsj89UY7AfyMvxTyws7ilT3y4zYSLVToLb1IwDJHJ804mZKVSKgSOa0mHCQrjWQLaz9LrCiISicIHspx5moJ%2F3Ng4rjU8aMqTDl5gjJAFgAMupkEoWEalYEtHh8CvvMqUP0Ra4v6BRr%2BdgNXFRLo%2BjKWRhaP4x63qqfsnw%2B%2FlDAo2doOxQP7GwahE%2BiZ2OX2l5DodFT8bGiL0YglcRmgDoYIEaRBLqdbj7HFD8xfZz45H2Tg6upN9XjuGCxtdxuVuRjssowtewrBo9gBM3T7d77hNjF9rd8QTMjwGLx3oWax6aa17t0I2gcG6kcQgw%2FphwfsB4gsCGgMGZU8P%2BORAg4iQDmTP9XqByg%2BjtRqWtpaHjiHSL8CNah084UP6Rfjx8GU2eaRw4mH%2BA9Ad42DummqhAj0%2FeMNS3V8lEHUSc1ntW779KspgJUBtJQEpS59ODiBRghAyioIrf%2FKoPh0eAJWqxh%2BSurG%2F5xVdzZBLgKEiYy4izBuKhCRIhfoADEt%2FB%2BirTWSOZVkcfzWBbA%2FAO817phMFhWQnvTwzjirEna6JgrjgHyk%2B8nWk0k06KkkSOOryl2OrOta3U1Vai9SLWxcE3cY161P64wA5VUgBExRGc8qtWCkEHIJfWtybVbTm%2BhrXnbVSsP4ucJTC9onJ8N4r9lRaV%2Fc4a2SZKmPNCgEUW7LDBXhvFxUvZYtnIuGD61WQtIrDXUc13hksUbImFeHrIBgvnG4ogmKBk5CClzY5DWqCCMzdrHBGSSOTyO%2BE8inLMGSApQqKJB3XKm%2F%2FMFoO17KuwfwqcaqjAyaJ5JOWW1Myr%2Fs7ZQiw%2FPqVAMH%2BlK6DYqjGUMcAXnVxy6z6CDl6j5mDa5EG4j8C6pr0hKyRNnoiR1vl9DWOfC2%2BM4v44bO3onXro%2BNlz00ZlGV2ICJ5CcCazVCJHIETBqVFhGT7KSBdNDv5ILpSacSTL0S6fX%2FP1CEIT5NZgcwpI0rkV7LqiHRoLUAPjXEqCZ5mLntX5JkkUEelCsU2tXCMZ6cZivQI6hYQNbXl4nc1sSNtBUTkQ8Y442KxRe7Uy5yOzB%2BUlA3MhvFmXweJJj%2F%2BG%2BqwJFWFLNYp0JhzD%2B4sl4JYn6a%2FvShCCo8hchMfrswjZgUqiToKfoOGaHdIAnKE%2BiEedBkyLwMSoNVX83TJERFy8PLMpBjsXtBITuS9lpPCTVl%2Fvs2Aqzlzwnj7lpl6VX%2FQ74tWqUSzaKziwue1phr9BpcZjNc%2FGXuJUq15TMDnCsJS0X2wAtW5JQA5MaTyUH4cDRif3MDxZx3Se89P4WSIvEEeLjToJbXf%2FrRhBMtRevJxuf%2Fs8EK4woZOFli3yTq3xqjBjrlierqgmUpFA15HFkeUOuLDjuhzLDjAGKK6WThTynzd%2FtCQWU3Nzd8%2Fa0q%2FxwZYn%2FUPEHU6lsdG%2Fn8gN%2BYACURCU%2BW%2FldrXpdUK7WxhgWmNd%2BLDoQFCU0sFyHn3KqFz%2BIg9e2C5oe9EOi7KdTBxPE1k4k5tkX%2FoZzSih8DJDFd%2BrITKNSsAAGtscSW9VDasqkEamMzeUOhRqRRAj9lc%2B7An2YOdL46GdcOLAsgYaFsR9hs0ToUzZ9rFRLG1%2F7eYLz1l5ijumbe1druwaHNFzZjtwt%2Bn7paZaMZu2EIx%2BlxX%2F2SBrWJQQM0wmE19eWrGPIVMeAzVWWRp76m1skeqzaBBZ6So4eD8Gpv31bn%2BnO4WG%2FOg%2FB7xQu9kpA3eZL3w9cwzrZfMmbUSk5OiF3Qx7bQYhL0VoUQQP3Hmps1bBJDQU0qAJpWwnb4iFOMBthzwP81ilVnh1bIuk0C9Xe%2B1kSK%2FK%2FMYOh7vIa7ghqGEKzCiHrehs3cA1pzgec5NpLDtCqMPp1GVECA4QZKiZX0hQ%2FGqjOhhObmpH0vwx0WHctTrmGC84Ub6BOQVdXIqoxqMVNhQjd%2B0CYMRk1zp6%2FPnIOsW7k%2BhQEruSB7%2BDEGv1lziYEEwur9gsigQBG8EJ3zeigdA74WvD0h2IbdNzPw3okAFsdmi3qKH41lxijDPDtvZcEzXwUnRNn4WpCP3vPNHhO8czUiYjRn6GRIQ4SymW9MhjUu%2FjbWOhOqNeh9OSRNh1EaFZcalxYnJMLCpTlEDttzYxhNCcZ86PUpbEkFmkU5HRiAF9AahZ8jQ769NUzJGkq9YLj9HWZLEK%2BIryXyPLZHAAHsBSe5moWq2RRQT655EACRYKQ1AR2mNQU6hNdrqLyfpSeJ5PrccWf3dXVxmIidWyyIkCm1v1oFYgyGcXwrCRPXPMLYHRFvGVuYyAUhzgYntJmDhE4VCNKoSxWlSFiFuMGumZHJnCJyAdT%2BHcgUhIEJZgWOjmy%2FZWisKRYo4JjuPntQGSxlJg3XJ5DBsFM3kGGQjqECyjqYFW6ccOkCDy3EhUt6taBIaHclyblt3Xxs353KjciddJC7gI4cZaPj4zBxOVNfei9MW9cLUHspngSFFni3AL7sLsbqo3totPWMf0yD2bdWKWuK2a4eF5jKcYCZyvORgcHeETtqeqhAYtIyiFGAYJQMOX4VJzPjyDKiavWJRtjWCnaTUdPR6FRkTfFAARc%2B3Ln3oFDETvxxiaDT3roIpaWwEEjRlhjvs9ZKiU2o1HJOMuVRFAA5fWzMgAqSKDaSLNQcQZbaFzsgKxXWIvjaOqsoiS0kA1bx2TN4NrJBVMJcmRWNIqrjepyobiDa9yXYKmJvgQWZhEBvF8wEx0pMQqCzcf9JemmcVMROHpvzARvqDrI5WOXmah0Zkh%2B6PIozOYm78ieRAJObTPxSCLuwQiRlWaLSxJ5hgIIrjsEUKPWMqRFuMgh1FsNDFw5jPGKPTWzyiSEIS6IPweoS55G9SZZ6wcpW%2BHYMSkoSETssJ3QQM9bQRo1JdCQdS1np6F5WR9wujL48y6xB4M6Y7FMnX7f22J6F5gyYVK0QlgEQxVXFUuC964aXqqhT5cX8XaZv5hVzeTU7bSoy40QuTOUjLVShZVi5iWJMAbFhku4I5QyO1x0Pm%2BcTesk5XsjnzwoAIsmXCFbWyIZQuawuVuXuR8DK92lWJDrNrbFtNbCj5sTTCx7e2Wb0UydtbZ%2F0CSIT7OnVIY0fRntwN3jNOdh7nGpmmq9CbBm1uLafMptryjPHHp7tKZEuAL7OjXHySRjUkXydXE%2BSrNxA2Um5Al8Dh3EZC5V4SFynxsMTKCAIMqEqNKzuJCQM3tvVBjRfT7xHSuCO72a6pSo2wn8%2FaXBmKI9sW2BccnPF8aML8%2Bohhb7ciWy%2Fxch7McUey2CPGCyVKaKDX8%2BSBNgqZqMLbCgZ4NPkIF6NfeH7gtElIrOqbudNqU8yyyewVZneKXuzObCUxU5b2tecTa7Jn7SE6UlSYMTkMfCs3Q7fVCaqK5k6pf%2F2wW%2F%2FosIJEgW3skUNgQHyb%2BsAi4ECMNcyjicIITuXGyXkkRIXyN50Jg3r1FpMmaQSUl9pGxnNMp8jf24vS5eX%2FyJYlMUISy9e6JooaPn7fiuG4QEscaDgCZpra85ygZUcJInLV6C314YPJdG2UL6qljb1QV1ZhrNcFecs0j2qb5gvkKHOFxHphwdBgEJc3y8qihwdZCQpJ62h1voTUccffiDJEzkU8jbXRvLFdPbcmVBUhArEuTKQFe570IglefLJ30dWmVAtx23vIGmF7N6auVNpZUQVHNmAlGgjNet51laJgLQSpfZyxBEqLwoCEGlF6ISp0NUmhUHT5a12%2FZElPE5UGO9AVnKpae3D5llVvXAHK0FIH3uE8AXFPF%2FSwx3OdCN6aViMIxEVcqv1UsLJo03R0grVOHRogBCiYVrK%2FqFBPmGrDyXLgr6DxBMSKnf1uSBgiRjCiwL1QoM981XHZnusKIVJ405xXwx6aBUuM2YXS0jaCPwaC2Zdp07J8gxM1KnpWMqNkRCfPaYTelLbBmd97YeNAOFaFOlV29YQn0qIInmIeMFxikX4U1pEusNYtOX6tKZKkgVONLhIF9ZPpxNWGA5fslgv82Lx49LF6FltT3Qp7q4Rcu4hKczn2m1GTA4unFBAkDCqY%2BD5s2dyVIfDeGeBgwDnPbGYXQqwM0E%2FBCl69QtVYbUwkQZAtSB618VkAzCPAs93Ip9qWnBMX%2BRUX0PFxCACZQwpfvNvAMGrD69RE6JSyNNOvRD8v3gzw46n8oB8mFQiYiwgidAyJgrfY1SaNrL5QDEjIIgYLECALRSK49wPmSO8jZLnesJ8oFZjWJyTrfBrNRCeOMoaVxOojhX6WVAhhJ6dvBPZ4AbMXC37YPHBFKUgA7t8mCk8U07mFgWg3wbOZDgsEZBOC%2FApoLJL8CzpXhZuoEh0ntzsvrUPhE40%2BUUkCAm26DxGMecbxuJ%2BpPJct9BZL6lVcWLmHps6SSRwqmRJeypwrd3vNnIawZkqBn%2BumMrwB%2Fc%2F%2BIAx3X3Ehjr%2FzJIVUK8Luxlv5IeNoBQPnIhvJDZfGo8KIpLh8O4iRusiuQOtytJ61yCvQUGFmCxEEliRlQmkN5wrVLkx3CUrlDG3ABe14lLsoysj9hXY%2FTJpUb3tCvpw8Ez7Wb20lfIScq%2F6wGFIrBkgzjtNLBoYqAgJoKvDHcdkTRNbmMKP7Fha6v0z1qPmfqQzKW%2Bi9g0kSWn1vQuqaJyaTAX7hrJwJgfaPjJvb6wXroHZRAD5NH2E2KaWtBw9TGd9mIea9%2BPrxlBpyjnQhg6rLogT7414uB8V19PPcBZUhnNx%2Fhr1%2BtX%2F1jKG4nnHv2EtR3VOjo9oWEibOHX8508Tra1pFg4lnAwoQ2u2JcsDi7diOc%2Fuhvd8qexCvYgoI6m9VYAg7Vl0PRXiuCdgHdKDIIHG0j73u07ULaOJJ60Y178Lsgtd7zYdOUGlMCYhR2Uhyglt3KUjPCpM8MKjVS6OgTHgqD1SSQ%2BqhzInvSk8VzFP1cI8vLxtdDvH35uPzMi4mQtJCrVUqhBWbQRke9Sjt9laOS7Y9YqUkXldpaAoofKmUNsx0D7eYLc%2BspsKbO71qdmmaGglAJjo4kj6XlnIWS1hQZORC%2Fh4i%2FCdcbaFFuxb0AYMJ7EdQExeIHEdPRtCxVECvtxHzbEyldDvie9cGKwImUuI0xEL9W%2B7FhefRJ05ePV427NJDYmhOCwBDNBP5LrIiblD6aw7pSeWFA%2FlDoWYMm%2BZEcF16VDdA3ALq7hDBlLUzNTL9AoVyczpCwb7xHucfK6T64W0AnDzYLg0HYWadOMPdoP%2FlliqiAlAWP4rio6stY02elA%2FLOPBnEr6rsAqtMRsS2g6HJtNANGwpxTdZEP5Xt5mE2gPs7dE0gyQv%2BFdd8QTBEqmAeMHtNnjBtKvg7KmIZCj9303GT9mWQXZxolBupTHIhJT%2B0WN7uu1FbRp6NnSRDIj1aXRJD25s%2FAD5%2FIc2OQ0iDp7%2F3Dbv3Oa8McFBhXrPpAKzhrFANFpcnLmEVTXjq0MO5sJAPVxFbMh93VfD%2FDppG4mBzXSgVfXJeWNNxoKF8QTwcQFXwQPB7QLE2PENdF%2F4vDL9zn0ZgQ1i6Nyr35KAwetsESlUtEENQbCFOeUFb9lg4Q%2FW5lUNo2fsscGbWY4T6pynpP0Krl%2BJFEfY%2BGGHI3aj8aBO0K%2FndAEPa5FX51Niq7CEOhoB2hSpGAgBT5%2BuzxAMzSuVEeQmZIbYew4tM4UsHYdZtT%2F9ibeR1u6rlX6lBQlSBT6LQ9YUEAgmAxLkAKQL9PSm%2F3NQF4w7ZvdqRqMJ5DYZh3j3I1rDmyXyti0llyZjkLnoPtHHwZd%2BfwWVz9ztMTMCFjpKBVWAdcYhRV6wY0kRv47nqddzEhQvXsqNstE6GNiLTd8iliAfI5vfm2KjfTQwbxz2uFzaUL0A9VKWzB7VrWS0QvlqVw9VCXOB6RDSgbNtW05PB7pEz%2FHZkv%2BXQTUD8mSQ3mJk%2FEUe3%2F2ixiuDVAOBfyIscXixo%2Frh7BHtl5KSBigokAOClzsk5pj5X5S9GLKgu5AbQNotZBWU5zoIzScHQKjeFNr0MiX0Mp%2BlHmHKuaDcfU2H%2F%2FhJmeXl1nPE8E%2Fk8ULZ%2FCLYtwJWG4CHI8h5ySfOAFbkRVFJyi0KYkQ%2FfhDAjciw08ETminGEMzG%2FwOERVW0AEslZEl4sfr5AYRKGVSMzkDSQ%2FnhkipQ8y8EF9ZRGKCOxRzfpNMubhc%2Bs9lZBHqNegMaRLozjP%2Bg8CUsaVzp5Wd0ZI5SaeSdNAD1HIc0vTPw7SLi4Jpa1gGgtEY865KzsFCn6I1RvKT3r6BVdYGsBPWdVzeLfbxKi8BVQVzd9f83goEpezGYiAXT8S%2FpW37TxnZ6f%2Bog248Vvj9otMMAmzAfvCpPYmXIx6ZAKAwBH737j2KJpWyuPMnFIBfqRrEBYiTiWVjvdx5T7k0dwFjgjLrLVm28m%2FXLNfjkSOzkoh3hangxcOjvxzVDIGSxYBxI9ak%2BDsrVTPAlMWZD7OThbuxdkWjCtGwtH4QzQdpmaBsHV8Yrg1iAK64TC2WMbQJAFFciwJFPSRQ86OtUrnPSODgRE%2FhD4qWAHDlWBDy1KPUCEbpodyyU4TnaIFzU%2BtJJAes10UhzVTNE6fGDGUN33wCgAZYoIz44wHk6fDO7wGbAEwmcVQg1HGGByFjYGdwJD1joA5AM8olCJ1LlTUGB%2FkhlrmbJbCbD4Uj0GZTy06zCTjOeVkJKZzqk0nE4%2B3RmlgDHpJwCwwZKOl8SEEH%2B8TQK7R6TiIPAy%2F5M08zWqjpXg4KWF%2FMNQpvipZJ4KZfGsivxCXyinAY16NjMD%2Bkgtfc8pGpAgSyN27l%2BuW3OjjOCnldBAJLpzjAYdBoh3b0yuYkLj7c6iwxR9NHW9WBeGVYjvaTEHVq2t96HA16vtKz3ZgtNuJgpjnNZRGEjbmQuiQEBJ2BdgHxFDqf0F1dQJcS4sIvDHlCASh65anDjgr07Qa98i8Jb1rAbSdOOz0cM9wlKXm7ugzOMTmi8EbeTBIoHrudZ9RSwEtADDsgyFwnxyfzXecDzLGFMmkRrGWCdnWVnSMMcc4cl7NaF%2Bt%2BgTHgy9s1SV05LLaw7YYgNxNKt2kpiEgpahsRp%2F0tarSWdfS3AdWYIAnrT68WTwX1vtPgL7EMcIzmOpOxL7oZh%2BcoizveUkJVmjedZZlkwkno1E7%2BjVJIoz8APlgweTgHUL%2FGciPnYgtfrq4TtxE4adiNQ2ZgyJHWYWmrMlW6ebFkPaAUwzKsAhoGXxXGRGKFObHKQOqFOnGgkyLajFNwhUa4fqva2yI2DlREZ6p0CNOGwR4XCrS4K3SH8pDQGvZIaDcMPtJUoLRM0owJ0iT9QcdRK5IRIIpAOzsUotf3TbAVvbQH8n5voA6kUzw6LqVnwPkmnYxgJLYiQ7hQYlEsYL4k5GCZvd58ypvZfwO5t1fXMTj11hE8GuAZhX78JMPsK%2FJ0yQqDPk4Z%2BJbbXS1tia0EBwCjgWUJsUI18clQ%2FL%2FH39pOY3jRcZFFfW7bC5v98f%2FwQjY4osg1CYvJfYmKVWbiPLEpDvlTEGLjUbCmh74cUqKtsVVr9hspTEdTKrKSRjqUHkhwgyUQeNizUsUp3cLmGnOoxPIuzYDGHFJxwclXasrQR5Pp4%2FX9adXL0zyaNRcp5govE%2FKIiLMyYKgb3rKpuxbm7t8U7GiR8qcIvzarYOuIr0z8D1QgHRWmwQj1jMXJlqpuDBiVUQD80Fnr7quJElyEAs47dXRoms8yEtA2VxNaYbJmUQ%2BlsKhyYLlk2q0QMXQSsMctgTGOka0GYae3AxbsfNKwpf8YnyAYZzDx20P8xvD5aQ4OkVtbj%2FxeO9gPGmBGT3BiXsWroQWXXm7Mw8XnUAttSlNyNEsqWLOLy5MJLmMa9m7Abm0SuOJF9RWA8VDp5xMP%2FI6LaAKUmkqt6%2Fxs1XyWrgcDo5hjmvshCSHhWpwCludJPk5i4bpUhqFw%2BRmK4VAI0O11JGtbQ64l%2By0LUdW7GarSUUwP47kW2CYDEdvsA%2FTXw0I4OPf2SvJ0FKjn7aZxxwVp2xjhpWMTDxaZMkiOxaFFLydXq16fefH2qVJybgXVpioGcKFhS4AjNTEa5T37zLo22Qv1apFD5qUjB9w8yA0vSc2RMiA7xIsRIGBTWOjHH9SZlK6QJGru7w%2Bq2GoC22fzSVxkr%2BWlT9rAABqi3RiLzDxns68PSEUIxqrqFw8oMUhIeL%2BSdTHAvw8M5C0b29DIIfScMQS0TKwvPEq3kAQvxMTC0D%2B7tnB7QNRliGiWl0NuVnIUY7QMwRkP%2FgVT2WDBX08%2BWLDc%2BiW0mz2CZ3IAvWqesMkIe3lWqMvUDL5Q33McSklm9U0P9SHgPGGVlX40diyUBp%2BpfWi%2Fh9sKTOvCRCj%2BeFIWvUXobOyAxrHlhKFGhOiw1vyKUiNMgN3k9No1jfVEpQEU35laY1OWX0u%2BF%2F3AcQq9opTw0RwEyxVosGLDgIkSdn7hs%2BIHrv2jR%2BJUh2kADlTtyX8HxtYxLUhMLj3%2FFpJAhfxzoRspqTIQicEOQtI1iv4n0xi9GiED3BLS%2BriXyEyU1v6KfcGAWCaq%2FgQ5kImR6wna1UoP6KtpT9XLI4EebxCRQriHsHkCOgDlZM8hJEHcCfGIERpbdeZFFHtE3lBjH2cIQ5p7TNVfRTwBkflxGhmddY2YfZbMF0bFv76YdpbH3dxSKmVVsblZW2xdvOxqSIQqbw536IFhJKhELagVlMG3LQqHU43e%2BRZjx4BJExsLcLX1oShyJFvhFevBTFOUF3Exw2yNBWwMCW5QA%2B7UmPhwM7AMOXRddPg6OxuaNAmiDYRKlcHo4FwUeta%2FLSOUyYddHQi3OFkb4z35KYG%2BxJAOZ8LTMyJ%2FCgARNXgZ%2FC%2BfKy8W7VwKPzhRpDnIMS0ClN6sPMpa421GfuLwApsG0C4FpdCsaLM0NtsctgKVSkeql94%2BXUmITqdGBajY4m4NmDFEk2HiFjYtNLmZSxNY1QM4KakEvIQIFts%2BOJ0QCRKvhCmQcfRAjN4VmYgb58CBUMiSUpcyuEfRFZS0SThDQPO4aFcJiNJUvlFdO0s8RaeSdpOSHscV%2BJAIchHCniOYTsEqhdLZtWVSiAw6hEDO7LI4or%2BkXTE6zB0CA9o4NUeZIpS0Fn7Q8lU4X9sZNCO0uPfjoWqOaqDVcbxBJSAs8RV9IcKmOPY%2FLDUnXDLSYfFT1xyNTWRLKRW0kFxctTIuvuU6R%2F%2F9ApGo0EHrqGH7dEmsI%2BgA0UXpfNwWFxUHz9CYK9toXP6IlTFRhuGh7z3bhwL5qzzoRAF8dkwboKslbtuftJDrshFMoBNaIvpSXyAFRCCKFOKEkzCkB3NDQB2qtV%2FANwHNea%2BAUDr6WWScJazRx4glReLp8vQ8sFtz%2BhqehlJO6MM5NMIc8%2FkWnwbE768NqCDKBi%2BpY288WynJ1CT2Kq9%2Bo6rhlUpRatsVIsacJhA%2Bq8M9X%2FUQMRZhshDAvsXwlZfxDn%2BWCfyJyLFA2s54on9a54PSC3WgchQWZLZgEl8xGrFUqCofhkvqYtXjA9XyewEKlnAtD26XlSvqtdhXOT%2Bi5BrX6S6hHVcqbZ8qbh%2BEzffUpCfTG5HULg9DQQaQ6ENkkq3DvUSAQwcxh24qkmtdRoIMDxOVDdy0T2w3afIBABsQGxnqJaAOY1gWawTUuhslaSivzrXaPcRyGhUkH0R541UbNvLKiY070WOGYY4R%2Fg1rfKhHcjoV4p45o21tldJXmpG0XsOekNlYucZlkAWkVUHtjkSeUbdfBMKrGATodKL9arS5JFVovaKRlOWbNJIS6GHxuLt8CX%2BBYQUYDfxlQrQQhL7z6vChINNDAVVN0rXxaKjegwIPOJf7rXfHBBHGpBNpaeLGFXCBrWAdpIwF6mcE7pE2z4HdIxcWkU0QA3TKjZQ%2FPNc4VwWA3OqmXuoleHBmMRLsU3ENaVgIpVnIWvBLVDYNLzVRdIefms6mo9VoRQZ6cCkQSOdK6KDkWEMZkQyIEM6QUltTfQ1xFpxUL%2FlFho06RSy0MhFQCIEh5FrTToDEgpZU4QcT%2FbYWc9XTPTTM6ZiDUk6d8MHSyFOgi3cE0Oh5I2Tv%2FThHNjxg7A0zwweFEVnLpE0Ai8Q9OWYcdB1zNKwLEBtxjc45oHjshf4AMMWhwwRhRdBnjEU3iL3TIBscW%2BvDMwGJnW4omSkqIJxsnzyWwZBg9lQCsSZ2CK25fZnAEtrlT3WZ1xUoqsQBEiEMEmCZAjQU8EhBFQSUEVhPwf6Ekh%2FQtYOKDqg%2BIfAJ8CuQ0oaANSG8CrQwYJAhV0I0D4CXAOIBYAcYMUAO4A0AuQNYAwAWgJAFzA9A0AgoIOA4ARIJoBoDTBVATUAVA%2FfmHjl6j%2B5Pa79V8K%2Fh%2FQfNvjz3P7ler%2FHHh7%2FPw68DnObsHvPy3cPPA5wScuOB7qBzX7b8SuTXQrw88fvOjUnszbV9wOhztB3%2FrTR53FdNbVFq3a82jxmuwOcluBDDjLjOjALxD3%2FQiP39Y7a5Rt0oNm7G8V06nAGXPxV3oiByNCcCfXAkpuOrai62YwdiJaYXnQsst7b8q9lbH1AhQ4fOtIhMRO4kqFfJyARyYkd8VFgh1WJGVCPlA1ZMLjSDAUNwDDwkxBcqWcEmILYipcSYqtCIqlSAqaSAqUCAqkjRU7GCpiLFSkWKlAgVIxAqRiBUbDiowGFRIMKhYMKgwKK%2FYQV6wYrughXTBCtmAFaz8VpvxWa%2FFYZ4KujsVY%2FYqr%2BxVOdCp85FSnwKkjcVGeoqJdRUiaio4xFRNgKhy0VBtoqArRXysFeyurkV1bquqMqqonq%2Bh2r6EqfoBp%2B%2BNH3jn%2B5M325m%2BzqX6%2F4%2FrnjqtKKqtoqqPhqmWGqVIapJgqjWCqxYKqxeqp52qenapVdqkp2qOnaopdqh52qD3Krsbqs1uquGqqZaqmdqqVmapLZqjdgLkVYtPvgiXswWobLWxLWyK0qjACE6uL48VDS74vVFa9UPr1QitVAa1XzWq9S1XKUq4ilUQUqiClULTqhKdUDSqgSNX2hV9IVfB9XkdViTasMbVeTarwZVcjKrSZVYS6q6XVVS6qiXVCBdUEF1fgqrzlVcsqrdlVbQqrWk%2FZ8n7Vkfagj7JEfYwf7Cj%2FXof68j%2FW8f62DVWIarWDVaUarJi1YsWrEC1XsWq9C1XQWq1iVWMSqMBKoqEqhgSqBxKvuJV7g6ucHVwg6tqHVrg6vuFV6QquaFVwQatsDVrwatGDVnAascDVhwaoyAqiv9UO%2FqhL9UBfq%2Bn6vB%2F7kf%2B2%2Fx%2BtVskpnZEuCUxHC%2B%2FYuIK6NNKiB%2FEzIk5DuCcPq3Ew4GQBYmlqw4gUEVMiRKFQwiMCQcTgAAAAEDAWAAF5ItM%2B6bFophhd3N1nA4zIKh4NARWfqCooqII1UQ4kBYJ2AQsGyO2lAp%2B6Xiqm%2FCkfz5urtugisAuGzxeNHQh1A73Vh4dG0%2FNDkMQKtSO%2FBTm3DojsrbF3jq6kKdaxNxwpKvTKteAnM7mCQ85oHLN5AxXtO3FxElkoEAFo%2FY7SdVN5daSO3q5Y%2BGBpQAYrusw%2BEY9%2FXMmtYT6y1gbXXfGgzHr8ic6AN9hcvHwEYELAoOjr69A1yaVwaL10euR3YUZUZvQl5xZXoT8YeJLqVKFrjMLT83%2BN7REmekLvRn0TLh%2BZMzVhvjjOcuh7%2FDGoSIzhcgAEyu2q%2BgmErl0SoAyvHf0gOOHkuRFZQSSkFEDSG4HCQ838BiFt5mdNnEIYrPlCai6RoN3%2FEdkyVeA7o%2BHQvKrwD5CYAAo2RJZIeP1xRy%2BlJaWuskPYYJ6GKPdNLzxcio1M6LXHJDQbx0X1i8B9YnLsQYerRiZjBe%2B2alDqaPIASEoxCeRAUMVuivCDeCNo43Zi%2BmFz4viBZJrJMbwxhXGCv8CUG%2BGpgMJzaVH06hQdq5woKyZyKYDByVHQl05OpUqPrSuURMAxrqnfhkQENbMcnlzk3MLnnmnljBLSdHj488rWP0ithH7Mq2sETRkNmgYc3AZSu6gL%2BCk4IDhPtHR057XmxZs5enMzU7IR5rdjAD5bhqPdP0mGax4%2FBC5rzvd%2FNmFSTuivxBTftCPQY%2BTO9CX4l81r5FFfrkZ1yrTcaX%2FE35vu8hUNdTlgS2iD0q93mIVdiG%2Bzz6ZoWvKaG4axR1VGYKVxYs%2FhBQR7uUeb1mU%2F3VlT93WVa55WteFObdmuaGauUaHua6G9Lh9q5rpXj%2Fwgi3iPylvEGKzMA9lXBUjbXHUnsEBSjM4dcmrgF7f0G9lwAQt4RLmuXHbpvBr9TrIO6tAdGiB79MRHozMKD8uVjof8zfR8GjzHzhs033A2Py%2BejgTAGqXxpL%2Fw2WVk1lFTJqz%2B0kBeRuJCR5GRySPRQSmUbztwmWP9kLIWUhlXSVdCicr0AP0QVDW1JhE6NsgqFunp2ST1zYgQv6Qnhu0JlL3GiFmbc6pMG8mzBJsoRi1z3Z5NTM0f1ndDFjciaUQqsNg6uq3fi8dFUAWOQGs1VX8XhLFmvpemPhnFsJ4EJp5fMYZskQQsqfYfD9NJDx6cnQ0sTSuR2L40hG49L%2Bmrs3RoC4ghACgxYOijJAtdpXHsZI0rFXEhZYgy3algwWFOreuLxQmZTNtXroCxgYhVHmAFChJHArQSkYK5FLPlzPCQ38AzsClDlC4ke6RHiVatgqkBMcH5a6mGXLmcLkgxPCTi3IYssNhBMcXoBJkK7iAw%2Fq1cJO27YZZ1dgwK6TjpcOKZhOClzaJK94ByvnLhalwYwwHNGbpKKrMoiCUVvMU4ZDGftbGmdYDSWM4M18njvCm2QeRAFzCJCDrWq4fFsh0jgTZAy3lAyEhSb5p3l%2B7zqhPPDOxcQ5kAj9XEi83gCXQDB330FUKUN8JTMzokg%2BMHLm0D3oGAQxNjGVUC4qv3mNqY80W8Wma%2FG%2FRJg0Pokw2Jil%2BUKRbOEH5QZhYg2DwSICOBEYPtpPgwWBiCfyJ0YCZEGKrTfFYsGyw21JEW52PoQdw%2BSszylGkFpTMhd5kWLnyTIQai8z1ij55qLRN75GxKwkR9E1MhMUCbxmmw63GyiBjM6OORqQNMpJtSUqMssFsiIRB3bOWC1CBqx4cDrtymvUnfKZrNpclIQX0iC%2B0SWyKIyxEbrSIkB4ly9nnkYJu6fFFI5UkewzCvGzpCmkfDtvWO%2FvOQBSKG%2Bw4WeOGpxQqahRKjqs7pmglalwleZKZnV2WNi1CBepIZxSes8CtZlRI0GWmUOVcYlpvK0hUKRhWaEyXRViM53DzUU8eSDYlUJQqDMmUYc2RuqTtfeLBUIWJzpxmeJiOCoAXmCaSqYM441iWisAz0U0EQHSkfuH3o9uyZk0g2C%2B1Huy1lYiCySpvTSdjMKwTiKdQVCax08qRNA1Vs2wiL2IyamfCpg%2BlZwXvOo2sB1QB9xIdX6Bj6VzRgd4UoHI9PenyASnBA8k3EjsE1S2ipMclWB3LPJeWzSHOikaNhJsFX5zoP45XxaGhDK%2FpP%2FDIYztiS6vqMPACWcgP2kpZWjOfJBHYRQNI4tp3WUQGWpE8ZqoZEFvYJaFCTkUJPdTqeYpTEWodgDyHYOTQomy%2BoKxLC8BtejPZfK3UMphCswZ56qASoLK60kVHNgZzT8%2FUWcqkls5xsQ57uoPAv%2BCrnsSCROispXTpjPKe4ND10sCf%2FElOsPgR%2B1K2fX5hXhJfNGzBWCpiE4EjGUBgUzovLqcdL1yqDbTutsHLe0YqwBcpKRqcP65%2Fvot41Eg4cbCrFOObHzAyIO3Np2zmgIymMqrmdZ5wgWiOKMA%2BV8kKigbnyOAnZzQK1uMozbw7SBWI%2BtpCLJTN4yFsnUOPsR6JqbOmnG2mYUYJV0I%2FFDRgDb2YBKeBAzYRv4d82IRIjKNJ6kthxBIf4f6tg5Rewqogb%2BBL89Xa%2B8Y7mPwJBnr%2BqyHL3Me2KqwE3nnFG4NiIrI%2BvziW0DG1jcQIHeE7iAwtWHXwFYTmEfOmdkgt4Pr1n2vJwnSQymN0R0NLRTgAHjDVSIfITmkvlvfz7MU64jgUChw5hCXsYgG5gXyQ1osKsxCRhvPgsghFG5zI1CXCBIAwKkjyKLeqBc%2BfEUFiCvfGOta3gR%2FU26my2RNT0gywIO1yxoMTM8Mlfo35lpDQ4jfU18jrE6QiUumMhcIndvm8iDoRH8amzyNFXNUKcSoCnh5AQYr61lElsUE1avUS%2FnDanpv%2FZFa3VH2JIq5OrC2wDxYOhlkZf5BIr5I2JAQY6MewSa45Ob%2Fz%2BEjpgzBQTlG3AdVyHpu2GkjfOxGCSQ%2F4KBsYV%2B4WC4tHrRIEC3vi8DWBGimk2R3cQNWDhpiR%2F9KQZE618tdreVPJR485XjWwoxbnLTn6IZ4EjKrhRraDtVPs4zmDldmpWjWM5L49vWKkkh21cJ0GELX5Hje5CUKJRNkIrvqKWk7bw8b7gYD5fEhk7VgXTHJI0UsIqSimKH3B62CsLrQWXjB%2BoWwKWamDL6RlAYnwhMdNFIyfJuJIyo2hI%2BRLmmREVRHaJdaBYDQo4bDl91nK3Zy7hcqlXpT%2F%2Fg9jl5m4DVYTnaJOAoq7zjeA2QzPBWRnDjFKG0AJybS5gxwd7oVkVIAgAqWCrwA2TuCFHn%2BlQSxm2EjeZemixAGSIByWTtmzQII9iyI6QxlnEfiedIUpRSDRKzAojtJx830mEfqcSqHRLRGSUmpIkhYAfBXhL3h5wRAsiPnzp5CmVoG70nYHSlNBsQEOYNSYjVHmDMCMyyhMYHx%2BhksBoo78rYc0vB6ClzXpCsSQL0xuJj0lRG0q3NgS%2FgqHn0%2FdBeijOqfmwAAwNmamjdRSr62goEAhLCK0y0mqVtUz8B3F3pE3rUMN9wQoCtpvRAK3sFTK3tcPZnt6Z27rdUEcCb1qxd8b7ARVibBsC%2BRyonUCCcPwOsBKtzEuPpnx3V%2BQo3FTRLkQsTzT%2Ft5GIpAhUffp2BuiRh%2FhQEK3waIhUoJczWFQtyb9PP5ODdKmoRpQHa5EoivjH117VzUEyb9h3I8XFhYGY2GgobkujLXrm%2BbJ7HN7wo3WOTojHaQLy5ZQH60wuIar4h1s2FLyTWktIBtEtP6PSDSPebTewSizvHczvHVzmh8LyM8TZbIzBlYhsTDRW2MtA4tMbKoUyaOwZNB0EcTEoAHayrWzlDMhazQx8GCH8%2BXZI4EskKhE1hnN1De89ZjtBMDWCxLN%2B4bn5AnyOhxpTflbO1kA%2F0EGhUliSyMtWT0UMb%2BqEPinhEFYyHEbAUyp8tYuqYDRipLscjyGJA3zbmKdMTMI8V72v2ZQ8R1C6WY4qjndJBCREkDNEWaBovAOsU5JvqCCECn5%2Fq30Wfs27Q1NX3PB1CxWQYK4rW6gl2DEhCJLvzF%2BBEKd6LLjbQMVuJRpueMSQJN40n5WAdyXvuYQeXUQsoQDysgsemARNTywlJKFiZeuo5AiRfoTmTq6hkwijNVgqADIQ0SrFqBN9hK5RC2ZzmikwVm0CCZzso1HPlzzN0IP%2BQCIQZ%2FzA%2FJ0cIiWLfbbDGvgdRmzRiOWxhWyl0iXpQfpiIVEQuNo2d7rj0OZeiVOeay6x5oKlhwZCcg8KUij44xrtH4IX6UM37YQMPXh6QvlpkcPG94IVYA3iwMJ0L8LuuaogTlCTJsenAjL0PQ7L1Pi8hmGJdOqOJeVo7ECLPOdRHN4hjBEITrTPlmX622a1Nkllc%2BXvRIMYsWFbQasKlkKf0TuoImAklJXaN12zLmMOiREi6fUAhVGrkOVhqjWR2eenOmgUY7GLcmbnAqWpftrThQTmBEC5zJQBDcPyN4AoXnInBM2UJew3uo3Osd%2FVotG4JFRB1dhhN21R2ig74o0Jw8ZN7VnA0lWB0lDFZ5PDtyXLlhvcGuF0S6Wr3U2CqpnkDjwB2mBQdPGRuL5x1IFo03LEOsHEh4MKRvE9edrMh0Snaf0cShzOIJdiyBYWbPeMzTRGYsBHAfX1laNIl1ZVxzggRI5m51PG59wVXQ7HQGRYRRnGy89qI5okgmTpsdUtZgAxPvJ%2BWcqIbSWx6tf5yN%2BuJkKOjROUqEcP4y6WDOTFIXxQkr7hHBS7hmbyT8AljD77OJLW4CQGYAb2Pei8bNTgMttEECV0uBXZksyIJd39JlDyojumSt0T2TM5i3S2cviYGBEzQtmTKzAFB8QEcXkZq4YmJ%2FTDWdYLS0Kazft%2Ba%2BC7HwNZAJaVEY3kfqPHY2SBxchsqiGqJLn5a%2FmjEa8QgmABHka5AWJ%2BG18I9w3WjonkFGEwKhtgp0j8YPUeYEncSOLNhhwVJnEiplRLfp6lN7z5sAMYVx%2BA71pVUbhIzIaaNzUbAarADBLMSSoXqKXumbEiOijClhzIbSA5gGB2qtutd0MjQyWBaAzJmfqki7MMaEQAOCXbwaXixbEGNFnHCqmWg8qjxIZ0oeAxEPKD1A7yRyuS4AIRwOrQJ6DxVHVPpAc7aCkBHpHC9GMxBqe9Qt62zjQGJy9sjB5efNIj3%2Fyv2r6z%2BSM%2FzuFE0Za9wOJ37u2rcQy7P6SvWZqCuEJKtvjAUTarXAcyMQRrVOlrD0HTsN2KDiUivtwmgj5U9inAK5%2BC4IqL6iNHhU7OH98NmQILOWxNwJiPwwlnf1QAEMLagJuGLoYUdlqBRDn8QcRAg9AuLhe4myJn%2FEoxUfepXHhZ8Dk0BKaH6znSNmNJJ2IRdEvxoTfFkKRNn0cEvSio6ek7OG7AZljFvqNgRejEgmOwp7toPkAA5CIjKCsWmYPIlxUdVDDj%2F6UQEQZwMPCocey9jKiCj3ryLWjtGlYDdewTAsT%2FytgOZKoG6jDf%2FUzE%2BDBwpk%2FPx891KJ7wcBDtmnc4Zr8PjCwfnWIE7Tz5Wh4XZOloMKHqBYibF9JCb589kpcmC6MqgAH60Nwcj%2BnBhrvYWI7IfIiYD0IThyXLu%2BBjtuDKdFNmVqTy8ELHUIcco0LUngtn%2BupQtGnWSsHRGOZxzUOEULCoCKWugvY7ZqEN0MDmNHqeKtmwQSOPoR%2FZ0KGKGB2wdDYj1CrZsodEQx2TukU2%2FMDvJyPuRgDSC80jH6IO5DbRYrS0rIXfANDM017avY1V29khrSTX8G%2FWm5HQ3j02j1MGoCeHm%2B25tIebrUOsJUhfKhD0EIEeXj3%2B%2BQ43UQYWPGKRd5tI6RgOxzkuNv3Ji8YcsIU0cpJNn1rQt1eBb5t%2Fe6vSIMsxyrbVRxAHaSs8%2Fijk5AW1W3ajQf6DP51FkKbjEEaQp7ThQOL8pUajXNZgjP%2BAGWp2PntYtYtaMRzL3lOTlAMAU2jKG8l3wMD%2BbxPb8RDFLiiPnwnwm42DzJDXbmbGIZ0jLkON0Ub4bgHg3f5pBR%2FoVAu0YDFztE%2Bzps%2BP3bAAWSgSxlY2S3LazAF0KZAmzACvKJ%2FMz0beXxl%2BeIEFgZCLRMTD0eI7mFnojAK95ZgCTCfQOybhXCo6576fGouBIpcPFCU9ALkeU0pQaG70p3LmSrRNvUUN3vI9R8lCXjgQBKD9twFivCVAT47aBVWQPv7zSwNj8Un%2FSFG3FqLOS5c%2BWZHKZKVGCPSmIgHEwoN5C6HgtxiaB5%2BUvBrgQmTbO5rMJ%2BCuldZzfzxgdXp9XgD508hFWCeR8zw0tDDW2xoicZACrgqgnQ48NRFvjGjGQLa0bZ%2FYIPRHYC9plKdMERvlMGhAQeqDBMhf6LZGmyElMCwEIYOo1BZ6PH7%2BWHUp1YWZa7wqK1XoOCvECZSwoJH1Mkaogtg1cnvzmDI1q5S6K8zNTnhUkglWVoNqdHdJkfg0Fxp37eM%2FnNEjkRlbYvQhIWSCHT%2FqEBqUlbxYgGY%2BMSFSRxt4bg1PVnRhKNZIXooJOn0HVNY%2FcfiwOh4kjntxHmybS7MJkM71QCMhZGbYSMrJ68qAj1YN82a3v5utE6PJoWbuOva8RkRMPNZOJG3h4NcQ9LTUNP7WRG34U%2B6pZFDjhFpbJyEq7ddJp5LrxHhOcWeKH5m0I1Q2anhxKm%2BO1yIfm7BGh7B%2FjqYiPKEBJ6cFrT2ZB6TmSyLIpnTVkU%2FYqVla2WfZcp7SSoTzv6vLYtG8AgtXlxfWZxN6Gzmta1EwxIU6yE9s0x%2FZlSkSYE8X5a7%2FVPKA%2Flig684F00nmacRk4WooPYSFBnHTa1ebr6zgD%2BMcOV4BeWlJJLrL0qnYZSAVtBA5UxpOASkxyTpYRBUMiUqxjxU%2Bce5iSPwywJQRsno2JDcLSzoQnpUALmNJE%2BWSFPdsteXHMocr%2FC0IqI26humQ1wKQoHcGmUNYBVwIFZqI1azUTzdFmIOugxHeiO7FGrlsIVmnE3L1JrCuYeQCJCpQc%2F0JCGgQIe79NvrOoYeDQJ2REZcyhK7ihxb2NeHkVj0aI0LIicFJjQk21YaBO4G64TBu2IKBTzYheH2CASyWnlbZNFDbFlJqA1Q4kIljGpwnmhmXbOSQEgWsMmsHkBZYKRUWBv9HZZ1N1JSN64WPlCBOt7zqAJMKpczyNBpzQk5o%2F%2FxDjQg86ozQyN4waltVoDaLJOfWjYqewlULt9QO8N4AqlP%2Fo1ZIqJMaZ%2FORyILlDFoGoeY2%2FswI7MBMVXSMJXCUeRsJjHIU6kNEsAqZoBDoHo8Y8pZtM%2BGL8OLfcPdBbsbvRZuDQcyyrZ42OoTsMJ2GH21od%2FRCfgHrkeCyZfMOkWTSYgXtqYxGIGLcI5gKg%2FZR2xnb1upteR3rcNGITv8oKHpUWdLK9kIZlFfEtPUNAgnOY66o0dWYJq2a0UT3usCxxDZm0UIViE7Q13vLoyXH6VgLZoJt476o2dZ1DSsnihertfmTnTdREBRHm5ASIGxMbMSITKCmV5fMqgFiewxFtxqh5yfCPkmlKNcrJfmvyKlbaqps0Oa%2FBSPXk4FJjtWF2wOHfpFY63qA49US3T180HXmbqEjYsSpRFkkOVMCBH1C9JAJTRgjCWNAjl2MSA%2BvZjADldAJGTIoWBOcOEUI4qwvBSI4hMj8m7WHoFosA0M4Q4yS8XtN%2B5emVGJDGqX8D5SVbE%2F0bWETJRyRFYKQ8umFTkY2ZnV9Lz%2BVW9hgHq%2BHYhsrghzcANy%2B02yEIiJuDFngZnEHSFnTnqDAicaKOgtLZkRXBqGS3bgcqBK6B%2BmV5G4%2BxzA1IlYTTtL30wAPCkFZuhlgsViFEnA5Rg4UXmBbXBAW7JuNvZlXTVsYDMV305DdUPX6QyUFMwndSexwLkpBDsIQ4lUnD9QoEF8QmpcQk8FJckIIkVwvETqBSrIvHRim18B7iqFwNCcFoUKmSj9cSfX37WL%2BCT4mAKH%2BS76AYlpBE3eYErTSL68qrzEKiOZo1mbN1ujQapDrmTWb1s3iBTeQMCYcYfVeS5ks0rTlCPWr9AjV%2FbgZ8To6s7qOr3%2BkRUCKT5GAAUzFlHOkmV3fJEImmhCZ4S5ivYOcC3SUx70Is%2BgfKTQfQBsES9NEX4x0WTcQkWV5JKEJNl0UV8pDmBNnC%2F4qRYIkjLTUknCCTbfLBLJzy4rnSGTntJHjdpYIWlqzxK%2BG%2BRBy22IJ8gMQIibkjgh8Y9Q2H5aenHLwEJg2iDmhQybR8G3gfKxBAZwppQkDi9rFMfLSe8Fgalu2z9mKNwe%2BF24HWYNjNI3zoQfXsIck6YiAwCMhAsEDMvxfp9PxAAxF94h42eFp8V8BZxS3g%2FoQhPG05yIyOc5GxA27VgPq%2FN9uxGcdZCP9PAWYlmmiIlMHE%2FRj3IzE8YKgGEh8OmOkN4KuO6GYyNnRhoWNSgmY9%2BVfMfhBm7xIwZPp7ggg%3D%3D%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Fx%2Dfont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFsYABEAAAAAoUAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABgAAAABwAAAAcalXC8EdERUYAAAGcAAAAHgAAACABCAAET1MvMgAAAbwAAABDAAAAYGenS4RjbWFwAAACAAAAARsAAAJySvAJmmN2dCAAAAMcAAAACAAAAAgAKAOHZnBnbQAAAyQAAAGxAAACZVO0L6dnYXNwAAAE2AAAAAgAAAAIAAAAEGdseWYAAATgAABODAAAiTweHjMhaGVhZAAAUuwAAAA0AAAANgJiWP5oaGVhAABTIAAAABwAAAAkCjIED2htdHgAAFM8AAABFAAAAvTBwRGObG9jYQAAVFAAAAGrAAABuDSPVk5tYXhwAABV%2FAAAACAAAAAgAgQBoG5hbWUAAFYcAAABggAAA3zUr5ntcG9zdAAAV6AAAANAAAAIhLlGpmlwcmVwAABa4AAAAC4AAAAusPIrFHdlYmYAAFsQAAAABgAAAAZYr1LmAAAAAQAAAADMPaLPAAAAAM8MFvIAAAAAzwwJLnjaY2BkYGDgA2IJBhBgYmAEwltAzALmMQAADagBDQAAeNpjYGZpZJzAwMrAwszDdIGBgSEKQjMuYTBi2gHkA6Wwg1DvcD8GBwbeRwzMB%2F4LANVJMNQAhRmRlCgwMAIAC2EJ1gB42s2RP0vDYBDG723aSIrSUESsiHcIWqqDXbvFRe0gBJw6tTgUCx2Kk926dusixc0P4OiXaQZzjx2cnNRFhPiagENdHBx84P693P0O7iUihzLbJGM9mb6tTFrnTWhjSAEVyLfZCgnt060U5UDacrdd3vnYNVWvWlJHPa1oTRva1JZ2tKdDHesUHiqooYEjNNFCD0OMcY2bR0qSr10pcc8S6QfRaEF9Fa1roKElnutARzqBgQ9BHQFOEKKDAUaYYJoSTfKWzJMo6epSPI%2Fv44sHJ9qI1malWVEqsi5lWRZXiN%2F5lV%2F4mZ8YfMWX3Ocud7jNLT7jUz7mQw62ouwafyvj0jfW5KzLLTZkX5EpX6B%2FLXfxYfU3U5%2BPg2iWAAAAAI8AKAL4eNpdUbtOW0EQ3Q0PA4HE2CA52hSzmZDGe6EFCcTVjWJkO4XlCGk3cpGLcQEfQIFEDdqvGaChpEibBiEXSHxCPiESM2uIojQ7O7NzzpkzS8qRqnfpa89T5ySQwt0GzTb9Tki1swD3pOvrjYy0gwdabGb0ynX7%2FgsGm9GUO2oA5T1vKQ8ZTTuBWrSn%2FtH8Cob7%2FB%2FzOxi0NNP01DoJ6SEE5ptxS4PvGc26yw%2F6gtXhYjAwpJim4i4%2FplL%2BtzTnasuwtZHRvIMzEfnJNEBTa20Emv7UIdXzcRRLkMumsTaYmLL%2BJBPBhcl0VVO1zPjawV2ys%2BhggyrNgQfYw1Z5DB4ODyYU0rckyiwNEfZiq8QIEZMcCjnl3Mn%2BpED5SBLGvElKO%2BOGtQbGkdfAoDZPs%2F88m01tbx3C%2BFkcwXe%2FGUs6%2BMiG2hgRYjtiKYAJREJGVfmGGs%2B9LAbkUvvPQJSA5fGPf50ItO7YRDyXtXUOMVYIen7b3PLLirtWuc6LQndvqmqo0inN%2B17OvscDnh4Lw0FjwZvP%2B%2F5Kgfo8LK40aA4EQ3o3ev%2BiteqIq7wXPrIn07%2BxWgAAAAABAAH%2F%2FwAPeNq9vQlgG%2BWVADzfzEijWxpJo5FkS7IkS%2FIpxZJlxfGR4Nx3yM2dgIBCOMIVrhAghXK0CYZCKA0tKSyQco6UUNpu2G3pwoq26hnSQrcsvVhajm0hu90m8fC%2F981Ilu0Eyu7%2F%2F3EkzSXNe%2B973%2FvePQzLtDEM%2BQzXwnCMwKRLhMkMlgWefS9bMhr%2BbbDMsbDJlDg8bMDDZcHIHRssEzyeE6NiIifG28gs9e0%2F%2F5lrOfZmG%2FsThjBFpsgv4ZcwMtPKKExGsecUUlWsWaL4M4rnkGLIKu6qImRLAdLJTOvx5KOpgizmxIIsRKWoLKTEuCikCkXCPb%2Fj%2BQq8CKeO1TYPTzqgjtHLAA0G%2FtH7WplFTNnCMJ14c4He3JAtE8bSuW8W4cydRLFlFMshhc0q5qrCZ8tmC54yC%2BbOssWMmxbG3FmyU%2BgCJCrW%2Fsgo6SKj6mb14PiWupmMUpwN%2FBf4Z5gCs4VRshmlrVpuy%2BJPtaXNFI4ohSOSVQwZpTmnGKtKMKtIGcVaLUtWvFByIWTTM0qBQharlkKRLHy6St2kU3FllXRVcWZL%2FaSzFCuIbkXoV7rFsrUl29%2Ffj1Qs5HoL8UKur9CXy8o%2BOd6bZuMxBytEhahRgrcwn8sOs%2FmcUTDGY6k0SRWLlxleL96WWHzV%2Fg82Dxqfyy1ZFPb3z5npIdcX1YNGsgvezdP6Z%2Bek0KIluWciGzc9Xr26dcRGDhcz%2BeLjp%2B544fwLC%2BunBbxdpw4X033FRVeOdDqD09bln7rwqq%2Bmn7yGwTGpkFF%2BCXsA%2BMtNeYGrEoXPlAzayANRK9wtx7YiORlGH8Pavx7Y%2F%2BgD0sW%2FyJ%2FESEyEUbiM4qjCmBHFlynJ8BMlMye6S1axv39aD%2Bf15aLZvt5kPCakSTxmlLyygzguW86%2Bf80TT1yT7up67pIv%2FZIdWUPeX3H50x885dh49S8eCNgcm5Bt4FXkFeAdHuaBhbEzTJ7IBZIQzQYY9QpgcXQF6VIPsuvZ9TD6XUU8qG6u0L3DY4%2Byp6k20jW2F36H%2B%2BjDjz7kX%2BBfYFjGyLgYRkgAexN4Ffp6MyQZE%2Bxk6b%2Bfeog979DaQ%2BfY7Q84W532zf9%2BsnbgdHvK8YDdXqMFwKQwZibHlI3Iz0JV4WAaWTKK6RCQssyZkHM4AzCuicNNkxEY10qJK0aJCNMpHxV5BYE79iaQUhl7fez1YpFN4u87GBPMl2eZFoZJhklhmOTFhJgUHETW93qTgsFBJDhm5FtvX34SID9r0fJ1bvfty%2BetcljGXBYH7H%2F%2BkvagtKGDPXP32F9dcvDyvkJ7QD65wF1msXLf5TyWseWiP8AANeSP3uX%2FhX%2BA8TBNzClM2YEYuTOKXFWaNMZozijkkCJVFcmFskExwBwAdg9Ionsfx7rcrXK%2FYhCB85mS2wFTwNyvyKLi6lea3PsIIxjg%2FLQetwsQkrwC8XmdxBhLEWB31uVr6XMlW2TSDKzWvIx0CcLFJq9JPXj1zspnXyTu735XfZ%2B8h%2BfU31d2Xq0ehJMXCwLpWsZepP75xe%2FCFRp%2FFpn1%2FLP8HCYAHEmUYEZhDiFPOqqlJo2le4fZMJHhjZW8Dk5I88Xpp1599bVd066%2F5qr1fbOvvWXv8PDjt1w7m3PN2rKqm184Z%2B4CvnvVlln91950Y3nNmvKNN10LtProm8x8%2Fj4YewtjA5aKenKeKPGYiYcrLCD%2Ffg97D%2Fmluv1u9SZ1%2Bz33slwLFUV%2FUmcSj%2Foe%2BWf4pHzY%2BBs%2Bxs8odhC%2FVAzxwERypuSnIE%2F4dY8sFORUIZ4Spt5n9r8s%2FM73Fn33naXLjnNH9sqdv%2F3Cjj984ec%2Fn8C7HpjHeZKPJYdIb1%2FWFyJeY1wiEhlNzFT%2BR5mZIKN3EVK8L1fZqihbK7n7iupHdzE4%2F%2Bj3l9B1yco44Xdk4JoIE2dSTCeTgRmhMGUGOYivlvwtICiFjBLLKaaq0ppVrBklmVNsVaUtqzgzSkdOcVWVrqziySjpnOKtKtOyiH84m0NyEKWXjiNf3WeyubytclbhXSii9pntooS7%2FqrSDO8aV4aySkt1X2tb1zQ81eIqReHKRHt3D%2B5y1VIeBZPNCoIp2NTfrzjFUnMIBVQPXS%2Fz8fykF0pBmKVRcpxzvHJ0f7H%2BD8TN2F76OjB%2BkF%2FSeAnKUhBOx7bWjzC6fNPWRifQMMPMZEaYsh2p15UDtJFkoYwySEnTC7wxi9LDRddHP7y7Si2AOBCtvapMz5ZOonwD8qEPJK5PEmFMo7FkgEzcJ59wPgRcIIVCkroZ38e32fUnOpNtOMxe3LAz9sKJzjAgPSfjvpw5i7mUuZG5C9ZqSoXS4EU5pEOpt5hFSpSWbM0hLUpzroT97kzp9C%2FAfmu1tPqWLFBnFKlTciHTmYH52rKUQtNAUs1aAdv91dKC9fjpKm2AY5tvgu0LqqVrbs9mS3dTyuFcGCDabOgksaSY%2F%2Fh9kv%2F%2F9vqQVEGCneCNjP7fzmfre%2BTR420e%2B6%2F%2F6wWwztbkReMYr9V5fJDyeC%2Bd%2FktySnNVmYOjqpyOY6qshhHdMGFE5ROMaGnj8UfP64PdPjichF2jNPk8jgbyPZV9UY36H7f%2FydRmD%2BDO2Bx8P%2F52I83Hv%2F0pKIoyPMTE%2BA%2F4DsbAMLA4pEgqRB7hsgfHvvYj8rJ6OtcLWz%2FG6y5kLuTn8fNATuN1BTORzUQwkwtJUH3rIAmS4EH1LfoGH8MT9w%2FiNbBWTdANUszzE7QDUAviOSVUVaLZcnMI1ZzmJGg8oWbcDEVAv9b1h7YG%2FSEJAiucVRJVpSVbTiTx0kQcvpVM4GayGb6VqGsZ7TDSSdAyyqwPRHa%2FkhAVd78SAK1DdgUbtA7ZDVqHq78UAu1jH2OQ%2FHiuSSx7A6S%2F%2FxN0Dw7keU7KSXEpnv9YPWResQKi%2FhO0EfUUvAile412X6a0izBnHE%2BzapmqWUV1zeo51KyaQx%2BjWz2HulVz%2BBO1Kw6WsY%2FHDLUG8r6O2I5r1VcFH1xlqiH2InG9CIhRXZGR%2BQdAf2iC1X4ug4ajBdDoouuSUC0L1JgTwJhTBFfJBhh5qmWbBw%2FawI5Ck6lkE2CQZH9zHACnmpm7IIE26wVg873JVN7nBg2NjaVZok1g1HfpBJZ%2F9vj5W4%2BQs49sPf%2Fxn522%2B9V3X919Gvl1SCri7CjiAvU8aRt%2BrFC5pnTkSOmaSuGxYfWXz2%2BBq%2BBiYhtfs2DdLTIE5FKprsdMY8o8rjgmWy5HFFdG4REfRMIESFjBTNbQcVZLIpU2BbCwCRjHtb8iGCNdFRj6CkGDhBxWbWh5g6KwAukWZJr4XfwuZj5zMnM2g0ywoqoszih9QL2VlHoLqsoCV2kp3AMWtFVApwUM2lBDwPZLxX1OKdePrNDqLgUyYFiWVgDLlwRQYJTF4j4umpqLZ%2Fvcpc6TkOE93gjrixDBJxdkH2zmsjPZvplE7iukCn2wme%2FNsMkMKSRTQioJm%2FGYkzU6ScooyIIRNg2oFEpeYywZNN7POvzciu7BWw3dPYZkW6wpkzSmM4bPTZ%2B2gvM7yZcMhi8Rl8yt6Br8nKF7mlG7wpDtMtw6kF7BBezs%2FUZy%2FrbyNvjPnhJtTxp7ugyfG0ifzAXhlMFwP2sPcid3DX3O0NWDX27uThpzHYbPzciczAUc2s87AtzJmRmfM2TSxuS0wPpt29afsm0byEKBKX70Ea8YvKD3j2ugBeYOphzFudYK1v603iwsFalMuSPblwN1oakKKiYqFY4uOJ7JULsVzPvgIVx1Wl2lBM7DrNKGmmk50UYlFAMM3eZCeaRMAy3VVeqBre6s0ltV7Nlybw9e1OuBi3pdqGeCUESHAHWi4CJSX0kalhMPqJ3aFrKSB16obnr07aLTQjwD7aSrfYB4LE6H9ehbVkeRu2WgfWxO%2B0CRyhjkM03a8CRrcRbbBwba4XtZq8Nx7BJkvvbBwXb2wNgc9gBYxkf3a5uavQR%2FBon%2FNdggXUzZTPV14HvQz82HUFc3UT0bqQRMXzKYQPAQOlnNJF5zurCj7C0V9SD%2Bsaewt4xtHduLcoRdj%2FyOAvBtkBMORmRiTBmMpU6CXA%2FSzlgtGwkSzGgCieDRZhPVSesUISIpOqzkV2TUYT32jNXBriddAX6b1aHaxs4A9Dg34o4ylmd4%2Fin%2BKZjDHuCB7Qza4M6q4kUhW5a9eBtZgnHx4JBTwxAgsMOouUpeQHD8ogBcJLtwcsO8R6Ox5LWDnLJwDg%2FMrJIow46Zd6Kty5S8TtgTGLsLT3nwlJGINl0Qu1tbeLeL5Vta3boA9qCEkPg9xE3mEPeePer76gH1fd%2BHZO2HH6pPzAeR8Y3GE3v2sGepT3yIp8dUIOlBaiuwHz3IMAYv0BTlVVq3soQcYgwWlTNDHQ9O6nggZmRhlGO6tIqTHAd%2FJMrFOU%2BOixfJsz%2BVHvb%2BhDw79lb7B209bzY9wSvoQDm6gq4FhzW%2FD6vr6No9FzFlK95TuxuYICQ7LirLvIC35hlN9NuBjhYqK0sCD5KKNYOksosgX6lXDL0g6KcEiKjtRf6kvoHyU30Dtn7z7LPUjwciFP14lSKMM%2FAr2PfPAhQyE2bO0TVID53LBhjYCB1YsaqI2kIKymSzqyTBFiiOLbikiqJ7v513y1Q3aBaVcL8iuffbDB5fiI6p7IE1l5jMTFBfUXuH2WyYpUsRqY0kR4U9R87a88bhN%2FacpX2c%2FgFZ%2FcEH6lMrdlV2HSENJ%2BCDZdWnPsDzKp2uwLQTeTbIbKzxrM6iTQ0sipiAjeuv82UzYgJ8uR%2F50ouY%2BEVF6lfgCDKnj2LicSImRoGhetDxWZJrgokcF0%2FEk8uPHNl1Yq5Uz9ZwoUzC1n0KiE%2B7Lk2AR1xUsWcBJW8GRwKMbzOocjxxUJ0sL3qiTTVZmJOjhRwXrXAt%2F0pA1m23OiqVLOnKVjaOPRwgv0LJpSZg4pO3YJk9PIGGEuNn5jXMe6RhgNIQYLDVKRcEyok2IAxvtnA%2Bf30aU0L55CmE8uj6SAvMbMOJyPQhmUHaJ5OJ7IcRf%2BpJOH8nubsCnFvTmZqZVQy6mWFsxYwSADhDFE6A2%2BkqWTReDQOcFoTLwHu8cgCH2CyWJB%2Bu%2BSKOPGHMXgkPB0SFAu0Ns%2BhAjnuNLUkXOpmFqCjAiu4gsq4k7TqifhU0otsvuYeM3v2Vl0EjYn%2F0rqYWbQFVCTSqk%2FHMdaftZjQdj6Hwupgocx1TFnE8YX75qmVfBOe4Lwhz3I7zrmw34AE7gy7ymOacgIHXGDdYLcUBGReqMaK7HwF%2BXjBYLaCbRBH%2BoLtkNiFavggsL1EqHsx4nQGd6JrLDrApiNFCEt3GnBgVQJHpy%2BdgTsZjKcRuy8tfuVvd%2FMXNt5WOLCSj9HOXdphdj4rfdXh2xZESLk34SY8xsOoVdZ49nh9rBaOYMoo%2FhyIumMWgRHMOBy2URWnXkkMxE80ir7XmUHdPZKmJYzpUtrm8qGxYq2WH2wdbqDCAtMOVDZf7BBgaqYaXBxb8IRKVEnntpfmMuFuOvVlzEqEMHH%2Bh1wnd8tryr%2F0f21us7zbIa9SHQF7LOHYtmo7TCiN2CEalbAjioBlQUgdduNQpDgC4CQ86QIdBBYgpteCqxjsMQToz0Kc0MG4w5xq8SaDcaOo5KB9bVpKulVuoInJsK2guIMWp3Vpk17cPVFZu2bKyAgrMXjjP%2FmEX1cR1XYH6gTiYy7K2rmEkAbmJq9J4ApAQ5K5nmITZYVIQHSTNGQVAe%2FC2a7ZefmGxve36W0Zvu%2FJUL9KPjA5Os0ebDMtPJodPnmtpa7PMPRnJwuly6n7g6h7mJOZ8ppxB6gznlGRV6aPjHAIyjei2DK5iMaBNZ1XpdJWysDVQVQZcJRdVG0qzgbWznUAjmzXUTKVJMgOzU3B5vBxytw3WOifKObFuxQyTljCRxvfTbMzBSh5Rc0sgQdEtkZi077CCQrfj98T4%2Bx1085xH3nj7jUfOqdhMe0w2%2BsauH98mHpCSVtJ1408vv%2FynN6oHtb0r4QvwvSvHXiU%2FxAvVXnxv2NbleIVfz73NGEBnY8SoQTRESQHjIzJYBSkwczWpzyo7dsyv%2FSejILMr6pMNh2q%2FxW2mv%2BVk3AxVExyHUL6JehAEfz1RABtDSIGYrf%2F2gbmXXjh7rfar%2Ffnbnv36rX2X3HlPbfy%2BzZ%2FN%2FZX%2BZogZpHEr9BKH9d9G35BHEzwRGB0PrDb7XD5ZW94Jgwqcw6Pxc4BEE2KC1O8PVpIEhrNcQMuIaNCQeygsZwrXXy2cbNw5aiR3A1zH3qyQVwCwJ24tXHLn3VXT%2Fd99YZdpxFT%2B3VtlU90%2FroBUEYGbAwBnlNokM5nZYPstZpYTonF4adocMEbc1XJ7z1yUGcFMOdW5RDNQyonupXgslimxRjgSB4U8C2iWHAtgL1ot9S5Ef%2BcKNFpKhjD6RqslDqOSIc07ZkfTJldV8vDuKqWtnUoHdbnMypbT1M%2BSjpk7y8TqxLskXKUCfGfOAtgeqJaSi%2FDTVVoClBzJKsur5f6heSjLToaLpoVgZfJK%2FkDvTFR9CwlY0Nvap2OosxRrAgp7vNOpnRoXy%2FyMAfTZhN2zzAZfoK8wODRrNiV%2BT1SM59HdkstH0ZmuCUcCLw6EIofqYB5UQ%2BqRwYu0oyAAorirXc2BuCQoQuFFDqPdTUaLRdVGtSw0xFF4dmkWueajh%2B3K2F78wEuobNVlbBcIDYwhHsB3lKfsAfwlelGxAltF7m1kzgqK4814EQpo7hYQvnM0P765Pu5T15PNmvVT5r3NOLr2akkKZbP0GNVcW2nQUPMwoGyxZVGtRX0QTBQryhq0S%2FywBZZrk%2Bbxj1dRSJdcGMwQjP39pSaQ1jScgf5%2FNCGBPCmgmIwrDXxK8JnXP3Gfol2pryKVCvf20RWwxb19zF857bTjfk7Q9QRN1xN0jxZPtTxUZmCKU13PLQBrMEYr1fVED64cZsJ4ZV%2B20NebSsYEAhbu6%2BwBsOh%2BGQqvCofwDYbgVxYn6Ho27nerQ%2BFwCN%2Fo3Cdg%2B%2Fxav28A5Ld2Zzmn3VzxZmu2nVmL%2BNH774f7%2BwKU55rIVAgSOfSeElA4dUB%2Bod0Q3lhrEY9kyYsIktUxCSQF9%2BFkLfao0cQCs1y3yjS910qXEktVsUwwpy0MejQFE501Au4Q3kDplBMLoLuBnhMVi89yXymOuYvs%2Bzx59pgfWLBIhwBj93S9LMH9GMBA7E3COmyUKuRF8mJIOvamFCIH1Ln8Nm847G1Y91A%2Fl0G7OYUpJxBGsJAs1Ga0cLXUCkXIljnLBAuyjaIA3MlmkUFNmm9E0FyzJiuuf85UTPPkAYOhGg%2BTOyp5YItLE4RM4ArDBPWGCPFRlaEC6gCw3LE3823siuEzWZdFHba42JEk67GQwxYPm2StlrG9FhwDmLNzKhX2ta1byam4lh29%2BUsWh8OCbxPyA0JMgukGvriUZiOAqGvPKN2gpmVgMhFM%2FAAsItVyhPonIxnALuIqpejyXsoBKhEYBiXQX%2BpMAUrR1kQLXTS622EvEoujRahExVK6BwSax73fGghmpmmKkZbdoPko0zws2A7WSbMcGHSheY0x1uvD7IcYKn8D7dzbqBzt4p25wqqOSvvKGWmrbRdoSsXRyuhoxTi8fnh4PQHq4FWoNJma5uY7YUfyDrSDKQzXjJIWvGj4TKrv5enYPgs2cQxeGvfZc0q4WmZtKN2JEs%2BUWnUtNA%2BW7EwSlWEYpGg%2BmUoTWOviYAA5iJMQj%2BzJk4vbh1s9p5PbVro68%2BRrsTZ32GhUbzxDvczfbOtwOsmmcvrKEV9f15%2Fe6F43MkI6PGmHnXvrmHtaky0oCORfyStfUL8HPIf%2Bn%2B8Bz7WAlOhhzmXKLQhZtKp9Ejo%2BHVWlJ6NZusBhdJT4Q3ANLlZRWLYwvQa065ZDIjArHaVEGkbJBwPTHoWN5n6lQ4RdpQed%2F4BgniZHpLlU3oDeSxyJMA%2BfJJ5CuwGHKK9txEFHZc2%2B1gj5xTXflqMxqw0I3du55bHlla%2BdctMNZz70%2BSUX7d19ipBr4waa5ZDdKcwnyhcKZxTaTAJny520Zd7qu5dWNq4%2B9ebi9UtXbqzPS%2B5Sqnu36CNBaJgWxIADo94oovR0BAS14OnDIUjlo7KDcxLO6JOlytIrTE9b2uYbzQbydTY6IxYwGG6yTJvfL8zOcCdPb%2FUQjvT3m%2BKphM127F97B439DPvRc7pfyAxzYBtTbtLstTJr8OGCYwOut1GudwHXW4AjklRQahouWp0wW0AHCFFfQ9lPAzn%2BIAZy%2FDSQ0wRf82trk7OKc6ZkAdlaMlDbLdKkxSRsosLDEKRg9hfkuJgTPGIuCjswGp1ElIHdCiKYpJy0ePHiG26A15Fd7IFdWZeUjsYqRXVzsRKLZrwiqH2PP37szce5c3CZDaUkM3vsmWyxmOVWsmYpFaJrUPSjb%2FB3gfxDfO9gQO0CfNkqNVEb0bUA3E4NXcuhT49kCHSbfazJTFDRcfnRGgJRRsUCawL8GRDZSkQE2R2ksnsmASRlAWQfdwLUo49r2BU11L2ZcdTTkit3g0YZ7sd11Me2IOrsnTXU9XyBxngqowsgjHLSZeDT7ockfglaYkf34zvXgu%2B4hsD223TbTyOY62kEcy%2BoLris0IhL5WO3%2Fh5YxUn7nk84PxHW8e3KCcOtdXDI4fqmuvl4R48Db1L3MoJ%2B0Z3B4EAog4kYQxmlt4q5GHq%2BxRCZGCf25D%2FdfiMmxUayVxrHozJhELSQFwDPXlTfVN8%2B3tGPx0vDSMPuk%2FASP3W8%2FPijdaLtcaTIrE%2FYRJRMx80twPyRlTp%2BS2h%2BwRyaQ3M6zaFZTfMLLqL5BcUsYrw1hzGcK0FM3IQ6QtnVMi1Lsw3K%2FrbpaPXc%2FL%2FKDDle5sf%2FjZa1IOfHv6G%2FZcIc%2FsTtT0H1Y6OfZoSMH%2B3Wx8cImmqQ6WBmMItgZUSrPUmz3dJA9cUZNDQ185yuIBiOBylK42CfXrRNSPg495XHHkPzBmcOznOcOTDnu3BbPTg%2B%2F1VbDWoUBWAWohxWbfySo2%2F9vcIO%2FhmpjSI18ONswFdmyrOoP2txRpl1SJldpehO6yn8H3HD0LNHpulo5NPhx7UUo49XKn%2BvHD%2F6FjrV2OQNi4uLdR%2BRwr1NvTrdNHMRphhafx6qYoP15YW108zQfAymxNt15y%2B6XCammYHl0hVh3490dUXG3JEu7hYw1z3snXR%2FC7yTopa4yzXMcxkoe4o%2Bu2G5r4VyaR7FBN9zqIquED38gxkVoQBAJPYrkljyuKniApCVXR4JXRRNouLtn5o4N5MYUsQjRt26Jh908%2Bs9gYDn6F53sPhX0rGIJN495r9o2eZlyzZ3cYfdwaD7mA3e3%2FvGZx8kw%2Bqb5LD6Izy3DOh270cf8s38C4wXtPQhHYOQBnuEwq7lgKAz1qQFrJokIJ2dR1hDCKvA%2BKme4ekFayobJl6qtaf5VBJ5iZoYxnuv%2Fel11%2F%2Fk2oUL%2F7G%2F3xI754wrOme%2BeP%2BFm%2B6%2F%2F9Au9o9bf3Hztlf%2F%2B77L%2F3tkxBzbdOmexZ%2FfRc%2FcjzrVeHxNYhaOR9e8WnTN1xBd82hEldHDJuogYojCgJG9ktcDihJG0Y4bQ8uJsYmhs6VHFWVyxMysfvUItxZguorhuX83OBkf6HkMoM0VwkbU6oU0WwgTuZBmU8m%2BmcRBrppz8RVXhKWFy9ctnZlYtu3Lyy%2F%2F3k3bHKed5hJ8aYuTNZtPL5BdZ37za195acP8u7ZcfcVVn5t7ygPFAd545je3rbwoeLbRt6ht4Y7e3CW76vbyS%2FxnmGYmCmvlOqYcRGo4qxgVwAFL0QHToktIDV%2B11IbUsGEcOBRG01HxiaVIDAliwlCxFNJCHry4ryUWT%2BguSOA2XhYmKDoFSWO9RIGkzIBihrzzKLkk8m31FTQIyeH2gco7j6oHH32H7P8aefBydRP522WXSaejo%2F3Rd4ymb4ORaMMrb6j85tF33rkwSx68DK75n8suW9M8Hs%2B9D%2BZSM5NmFuiYwbSJZZRUVTFrs9mlGAHLDMXSXkWHIlOKuYAFpVArsGDJHIS5lOgv8Ub4TNantmwU4uO45GuokGEuQiQzkWIOAyBjYG9dc%2FdkZB4Pn3%2F%2BWeEQ%2BYz6gOBfMHvt7H4NoxUt62sYPZAHhEg02esxE%2FJTMocM%2F5J1yLnZF4%2FjtZf6AeK4%2FjfpeJm1EWvVcRkP%2B1P%2FGY3wC%2BEI%2Bi8wqyoK42UGRPf5wObXxqvUEm0QXicYLTObIinArWtopKw%2BMhm5taSJLdyhrrxHw0ku1VCaW%2Fk64rRD%2FT2eP%2FmLWn62lpckM3OZshux8FHrEewbs1ao4z2kcFnEzUQLdUouL0xCI5VpPswJssswH1mxxNio541IsEaYSRw%2BzCQPH2bMZ5bQGwoCN%2FU96g2tfE99Dd4r7Gmk7WXtyMvqL9WDL1eoM%2FXlcfv2FqCxB6isRQWtOer202gL8Ej1ZA4tgkHgT1OAKpp6cli10Y2spuWqi8l%2FHN1P3lYX1XIba7IeJX1ZQj%2B53YkZWX56F7GGNVMLSdXuMn4n%2FUY0e2DKzdSAfkN%2F%2FaaEub2up3j1eg7MhREy6O3CnBft129ne%2FE32SSbHP%2BVBn%2FcEuRCoC4tnMGrKF9WmCJ3C10vIwxTmJTQNjnBrXL85N1dx9fe9HsX%2BSX095nCuCtKcwg2fmkXLugN30M6t9Vwpr4KQyPOwDciLNDkMNs79kN%2BCSKMFSrk7SljRGMZINlzNebksyg0AvWfIZPiWXk8BsMzrrSiqoV3gNdz4yYn%2BQYOEtwPswy4t2t8R2F1aHznphVZ1qrOd9Hj3aur8U70PhPuocUfQafh26hO49Z1GlRoUFQgO0%2FWzaNkgpnGLxl7%2FUhdCydOthdo9C1G4P7Gf53m6GLqbepb7Io%2Fqw%2BRjX9m140pfyYbYQtxc330M34lfyVaMwkzKRBZkOAg2ag%2B9Bd2UCJjyov00rGXfISMlTRZxzEc%2FzT%2FNPXnjtDMB0cVS9YQav%2FUzIeAnvmwDzMfqP9CwjRZzHuYmvWQAzmBSmVcinN7iAfkrGfPHvU99YD63h0V%2Bo%2BmO9QP7tlDTqaHJ8DlBB1iPC8J4XI1wGXX4MLcIPsEuGwWjGcwsMTwsGqWiLF%2FMnjRfHQKWFh4cRygptIqS2HS9VV%2F3QmmUUggcEebC8Uoj2DYpSk3lwtyIVVICSlBngzEqld37Hh15054P7hjCixttTPwPhEmcSJM7gaYPHWYHOMwOafABJwlpCZDs4l4ye5n3z1vCiS3qO%2BQ3c%2B8e54WTx2HYzozyFxEIemvKoNUF4hS9bpXG70hOtfCVSWsuWUBvmGAL4zrTbQX1pu0uN%2FMt80YoMOYGtSHUYmKSgdmKpdtzjQq2r1iyUim4JDLood82DCD5hV4jYKDl3PDfL43zWGlpAf4cTKGr9zFOwUja2DNvIP3cB6fSTY4UyE%2FqRjc3bHmeM%2BcnqbsyXOTt0%2FlVzbAGm0WwcCxxOvy2VyElyNDSc7Snl2fzS1p8xv9%2BQ1qujiBPhjJHahxtEQXZDdN4vFVMdeIH3ftltxSjYd9qB1PRbcQxYgnJpwfD7H3yKgWeJwK%2BB1gEBUrcL4xDucHS%2FMCpuzV43ARWhDFZMqOQDRHi6jKtng3jQNMQ%2BlcNjS3o3%2FDUy0L4RT6N3pQcwUVYl8sns7Q4XPDniL1lxhMywn1K0Qsh9vatThePjdMCvmcFGZlQMBBBCmeT5NUDtRxONpXiOdzsAsH4VRO%2Bl7kts9X%2BrZscv%2FgB4HnT6l84fbwBv%2Bliyv39b5SCZy7qLL4Ev9PyeHKDfcFKxXvis%2FOrZy3N%2FrSS03337DwYv%2BPfjTtq5VFF%2Fp%2F%2BAP5ogUVjV8b8%2BYi4zlfnroJWM%2Bb0yUfGn6YM0VzvrzBiclxNC%2FgBMlxDVkPJ0r9WnjbbRfX%2Fp84ffNXDVcxU%2FNVJ%2BMQnIpD0wQc%2FJNwCHwMDoABORH0m3as%2B%2BFO9bETZ%2FjFd6yr7lQfnwJzkw6zj7I%2FXy8O1SR7QIOZFofWcu2cXgqz6NNhdjQdJ9dOJpji5aHpXb2pKVAPs9OLVz75YXXj5ic%2FHJiab3dFkS0Mfzj2wcCHT27eWKtXPof6KYxMkObcYThW125KrAEYm6HKMc1kxuLhsb1snLxEs5l%2FPuX7ep5J7ft1XxXWoIOWpH2fpqx2qQPqLNKtwfBDmKOLYI4aUU8yUC%2BQQHOw%2BCr%2BUIk3NKRVIyA%2FJC%2BSA%2BohrZx5bC%2FWFOLvfAYG4a3a7xhrv0PGfweWCcXYrxdug3ryGdIGsHSoM2u%2FU6PJv1K9DauowZhG0B2ccd4d%2F%2FEgXnWW8g%2FbK7e8%2BvT5JuLUsGBb51zVKGuM8E2xlp%2FlyJScuo4nE%2FjzwEuMyjeT5E719Zvf2UmSN6ubbyaj%2BgHOjEdgF34vxsT5nfxO%2BnsMGLpREWxd7VdiJIUXqa%2BRvTeT1E71tZsVOKJu3q6%2Bxubxx1I71Ne2Y20Nzal8gOrVcWY51dpaqkqc%2BrNDmVpmBWl0Cpk1qy%2FgwuxKm52PxrUs0DjIaTMuVyER6Nk%2F2W9BPGGCajrG61BNR7Fdy6zUPsjaGXzc2%2BeN8zN4v%2FfHkn8aSO%2Ffjp%2BHD3ae%2BjNvKOQlaXgfewlkuKFO1yTTwUxjemGF6WXKKZTkPTkMjqLUhsW4h3Zm6KWdGYYA%2Ft4e0b3favPkZ2hhdzEnRWlyDMDV15vMEKyyd8JUg02cVU7iIF6JlrN6YlgEQrNtCmHMAh%2FF9eRSwrEx61CqJfSfPrdHej8aSg1Z4ix7aRFzwYtczON%2B9Vewedf3DY4WN8u1aBZikVg9pqdS08RRu89vG3WnkyWT10Jo14DDG6Zl%2Fhm31M3cLS%2FZ2tf1Ix999Cf%2BWVo7lB3P88uBtoEpsKVeyk1SvpDGHL9hQ8HLOvg0Gxf6fIW%2BxDAmEaSSMS1WzQu%2FNJs4aXo6c8G5X77j7c90LfrMZZ%2B95vrTVznPcadmF8j0eRs3ndbu402CNyrGvzI0pN51iu%2Bu7%2BYHbzp7%2B8Dgmlx3uD%2F8gvrDn%2BxekzMbPc7CjfZVI3uTM8%2B6aXXWazaEArkrWlpe%2BiHOmUsZGz%2BH%2Fw9mAXAZURZSjppbVea6SoMwFIvgNTgX2GdGH029cXtlWAl9GrBhArCCLhMmiA9f6GNTPtmXSqbSbAE0nDDn4AUjbpNLDeZ58yIjM6a3OVsc3uVrRUPEZzE7Oc7kCLT6%2B%2Bdsmj3LmXz0H3xSar7TvXyVIWfvOH9R2snaeBMhVlfQnZwhC47emeRbI%2BHpN3ZLlsTwUHjkvdSKvcXowi6Pt8Upm6yEN3qbh2ZfMvspsurirjUPGVgh%2BrnX7jNFzrv48VW2gabepjY54OIt6aVrW9KXYJ3695gb%2BPf4HBNlZjLzmdkMLk%2FtVWWGlk66IKMMHlIK1dJCIEIBVL5ZFnMgaGpvyw%2FTPC%2BmZJ4hup9nxNZ0fnhkPhX6QBdjNmyIAFmMsbQhVQgbskCZNJ%2FSio3yvQWj7JMLmJgwFDQ2z1t%2BxZYvjn5xyxXL5zUbg5MP7BZmd5%2B2%2Brqbrl55StcCKymEZvSHe5T%2FUdLn3dpzwQWJJR4vu77N0rZu9Yb5mcz8DavXtWE26MR9y4ahM6d3tuVOH%2FiMgyxMzJ0RWHQKlryvWbjuiq2zL%2FBvaG3FaQq0YIAWCuOjGQ0nMV9jys6aJTqSwWxQpS%2F47aH%2F%2FM9fM1KnRXGmHYrtO4aSg%2FzNodi%2Fozhd%2B6xOm6dzn4u%2BB%2Bh7kL630vcEvpfhbMudLXfGjWCg9SuBfiXYr7T2K4l%2BxdrPPG%2B12V2BYGsirf8jsyxwyOGccDCdVmYFCaPRGtOncySOBC64kaw6gWcSmvoBVxSSMAgsDghfJ%2FiCocHEverL9yZWPnb5BSnL7p89n9h0FyVqRg7PcDpIW9LXnYlN82TIxs7U7JvT9mBQSJx67hfHyS3uPLriLunc86%2Bd7mxT3%2Brb4X78Eo2imXXNK5uCY4%2Ff7UxmkzP9s9gbp93Td9csb1ubrXfT2efR%2FghfBeHopvqGG3PRk9StkQKQBbSkQX2WxCaSj1%2FalDA4Ek3S2DbvdO%2FYtv8iL5AX1Mcx4DNnzvwWviVmaDl6qMj%2BfKy7iIIMu4PU8rUkKnfbYVZj8ihyc0dGSVA568OOOGUfzZL0%2Bc2d5YSvVqNa6gRO9yVguofCaJOZw7DpS1CnfL63r4DeB%2BqPChP0FaQSIvUZZEhcMGKfhYJoMCaLPifZtH7rerLJ6fOL6gPFoOfMN870BIvqA6KfGNu9PQ4yl6waXr9%2BWH1a%2FUdHj7fda7f9Tf3bab5ZXtG8bJlZ9M7ynUaEv9lwNa7le5sndWEowGpSzzllVjHr6tH3PJaZabkwmAUEhj5G3huz0j%2FltuYLObqfXxKSdmHi5C4pVPzYfzT2xL5fuzAkHVtUS2GH9ebv2tL89JzhGv4ZxsK4QJc%2BieppfhpZ9NCkGxNtL8Flx40zQmsRfLDUW8V9gt1N6yhcYKU5cBCHCPZ6QC8pcBmY%2BlFSkLV9WCDX%2FwUXvYfG9qpPEu66Hc%2BpT7KP7bjuITz4l0qFXf8yelBfQpXtup37x%2B7beb12oNFf5gZdUqsBdoEhmZvoZZoYHiNiPJasZYuNPaX%2BpIjZ9JgQpuXPIzcPMFqeFR3%2FBHBzN7OBKUfw983VspmWapgxj0%2FKYg5MRw7N%2Bk6gRpr6UpPYFAMbcXCukpvQDGEZSx5LGeByDlVckDxusRSOALlkTI7TekJJXhAgoKgPG1O9WLzgdRhAlNfaMYGNahTXpPKJgfaIaAUbG%2Fb9qaXnfuU7Xzl3acpvxPZMpItdXzlyWcvpAavV2xxv60r7RdORSsfKbRdetiKXW3HZhdtWkrVaIi9W%2BWG%2Fod8y3%2BQ%2Fw72BWhMno6Ms%2FDuygWz87dg%2Fkd2%2FQ3fZ79jZSOt5zOv8D3mmVhtvJvPYOezIb9WH1D1caOwFdvbv0Amn1dPNYIqGLaDjm2AetTGoU%2BtOGIGq1uiB4QVNRdc2HLiE0QpIGTQoeKFjXXyZdJKuH5Cbf3HsTXLvL8gNuN9ZYQ%2BQJvUPtBUR1rVtVv9AmlCdBxjdMGZPwJhlAdpyDMcrkFO6gPYuJallB2Pwha8im6BsAhWpFbMXMWWxWYtegLJUkpsBpG46KskC8A7oHOj7RM8n52A7CV1R6QjRzzgur3hZNJZMuQ1OR4C7KWloEs%2FEydj3CmsKuyOhjpB6EN6yNI1GnjZ2W0u3gXvS7%2FY8LEpw%2FNhM3u6jszervYe9UqjS4WMacoOxjsPZmAHHozau2LMUl3pFInZdIfmczvRRCQulK3rB62EsXuVu0Qpatd%2FW8n%2Fxt10wVvXfdtL8QYP222IGGbnBPsuRKBgW4%2FeIEmy1pB5suNMxP9aW1aYWOhoISQOPbacyNapVs9HOTtQzhz2cNLccb6YaH8lpTJCDr738MukgHS%2B%2FrB5CDteSyXX%2Bhf8ZsCe3w2820%2BoitEctGdoSajydjIZroihxotL4T8An%2FVH1Fy%2B91JADpgCVtfqChVqGuRKsYmeFEC1RMlDu8VZpWVZTzXcXoVZQOUKbqUWwmRpWaJkjoj69J6f8NBEtc1f2YNAIhGG8JpOO%2BdsHIk8ZWr3sHk%2FC8JR6V1FLtKdDBm9kDfs7X6pbHmul3iy6ru%2FWc3WtIKsKYPXQsmsGC4IVo6vUAbBladl0qcOIfs8gJTAHTDuTSGlezg9yw4YBkhATcY%2FPAfyMHv4US9vZ6HIzljw3GwjwjljQ9wphWd4g8BX2kbEzkhnWYnMauFXeEF%2Fg3g5JyLzYMCDrz9rtR1hB8kXXHAF92sILnIElR449U1HftVlJs0ROVn%2FLraS%2B%2FmdoXgvLLAL6nwf074R1Nq9XEeVoRmskhzLVny2305zq9gTWxfVmtNZD7TnAqqtHi%2BH3DZCCB%2ByCVJIGLASjFEYbuu4ABVTQkDOE0fA0xhY1ed1XzXRet8ptdHvP9ML7quucM7eI3qag2xQuXvjQ8hv%2BMmOGO0get02fN9067SJyphR6msxfus3b4glKnlbiuXGp%2Bq2nAfM2gbOGJHe71yu0%2F1vP0FCPEflTAp3oQf5B1Ldoqyn8S6G3uyCgwzslC7L0x2Vvdu%2Fe3f3msj%2Ft3%2F%2Bn2vYf95EX6Mc%2BevrBrt8s%2B%2BP%2B%2FX9c9puuB7U1uqjXRcSYNKx%2FNK7cdghj5lio4msD1vPWqhaId4BgRAwsbS3xpZ7v4mRBRxFnkpwkRCUunsLgZXFoq%2FNIOvF%2BaCilfrN5KJVtmubYcLe3uKsIhvOLRw7djm2ZPlxc7CfrI53FrpO3CLu6Tm5rfvlfggn1DnL1qwef%2Fc0N6h3FxtqwJTqcm5lyM45qgnp7mRw2A4BVU8CSZ2x2YanHx2G4Yf3kaU2GEtfam2gVu9grQNSwTMZFd9nU1oUucK1et92tdMKqkkYR3kE9STmxIPYOEOQG2aNPwHr6WIZNFiIwBVPRPBcX4jDTPgn3Ioq0sb03kFEggLp3MgEOvgrIk6vpvIT1r2iQ%2BDUU95OYaxl0pbbSFiXtNEPbi2iXe2idfA8t9Rw5Lu7dWnJtN82o7R4E6YJFct2A%2FH6b2OSdSY3CplZAOQ4UEBV%2Ff8nbA5SRB0%2Bi3uWCSIkA0z0BMzpCaElWtLaiEdoqQY566DJHk7ijHSzmv%2BTB8k0ZTJVis8NBLnRYRdvFDusakl6z6eLVm7YLTU71SeExsAESnzU2OX%2FgcrtdaoFYeTMn8DxrsHxxrfo07eC1mLWLCYv5LaNts8Prdly7ZHSZ%2BrQv9XDTKWSV1BaWvCFCWM7A2UwO%2B%2FOr3tVl2rnAN2uZMI2hXEs7omiZorBeT8f6CmVGtjydioPp%2FUi7IbqUYC0CbYIQ6dJqEZBxgNBeF0pAZVALsCQjWFJoa%2BbbKe1CrTThQomICtNf4qZj5Uiqi9KOBSFo0EiBJcCGMFvLYkpx8VgqhzI8WhATAha6CQ5DB0ElMyeeexESyuq42O6yOsjFgjf6lEl90tVk3L5pteUNZ5PxsySxSf36urstBmIAgpl5K1FbuT9W2NmjS8i1Lpdkv8xmfIu3p8SxD%2Bxfa5PIqmK7V336FPLf7636ptVpNXMYaSGqDSmszbWNqLMaHGCx9DEzwEIpF3CuTYc5NZBRpENKAfuZldslKkJnAHlycMCFein280O%2FSzsGWdx9%2Ff0lR4bmdTFY4RNma%2FHvVCKP6VCSmEoancSITVAKw4ZBrA7ow0nlkw2iEMUaso0UdNZuf7hNUp9eNrrkWmfCsdl32qrnfQEN8mwWkTpFNZvY9eyP1fuMnshjAlmLpLlw9SWb1qg%2FW20j9kt81rX3uO11GpEKutK%2Bj4RUXwe7paLHMFjGwr1n8MO63QscM5dR8loPmH6apJ7PKp3VcictwemcDphHs1h8mtKy0mcA5p0YB7SBSl5ypgBzO1X%2FjBEwOWeCrJCw1mSIJLQmkZgF4CScJyqLBgc1SZN5cRBWlVTSSVCTZ12%2Bzfak81qydHQZWeVtf9g%2B9iHMAMuX3yV%2FPUV9ytuWzXKC0e%2F75j2A%2BsKI7xI7sa7JVdOrL7pk9YU4mcha4bFmh1PdDqOuvr7d2Oz8vs%2Ft9pGKVXCZOLv7HvYyijiL%2BjjMkycZB6w0M3R9xUX1Nz2%2FjKbvac1DXTZ0yLq1Hn2Mh1aEl0ze%2FnpNuB42YEEFF8xEMpy159fXPVwPlb27hyRYUJ%2FIPeol7Jrrfr3nrD3qu3oA1EMsr7xIkqTjJV1ffRJgcsGqN123zGAK%2BjSYtGwGi5bKUPJi7yU35nWVLYzYr1Wpo0tLpBBhV0kKErqzC9E8QHRt450r5B4EST2oAUQB1gB6VH39xVdemkKjYZ1GYp06Wvadezz7TkRj1ubsp1aaQcIsPHfJ6tW6zk6gU4J2rSBT6QTraKUGUwORHkXLi4xOhmmpDpO3cdC0vMUGsKQJYLl0sESaHGjDdZBx9U8dyoSZ9qM4Doi0irNyHBg3oyWp6dd8HU4XczvzJebLzFZ9PDuqyvKM8oUMUXZTcDURu17rTvIg5oAx2sCuF2c5HAZPNN46uGjNNbfcese96BuwuGdZ7LHktIFTz9%2FywJepEF7eIbqf903rG5y3YM06vOYL4iyzhfGuv%2BjWHTvvpW5Oz0Se8Bh9gtcnZNE1LIfZgg9dcF4HQaHEFmA6wn%2FsCGwEZRCjqX1pgtuFvkKYlcMkAko5nCkMc4VkAUPlhTSX6kvhjIcrU8aUAyYptocV4D4OnPwFXxbevD4pzRVylKTXUuJpJP2bqckYIzaf3%2BRf7RvuD5nSXEe3kRg%2Bc1U4Fuccabtjnmgeakm7si6eGNt51hQIyh6P1egytjUZbW0Oh4fnE7zBIvh9Rpcp4pbNlvb4TJvVHOmzWYXMSqfH7ewMDpucQ05pmOM8hOshHBfkLKLVLcTMXc2tD5Mp84CcEr262TwvYPXwtrApE%2Bbdi7zzzUaPxcZdEWodjpiJILishLVa4zKbYe0mzpd0hwKh5rDLSIhg8STMJm6hJHdaHB3egNnt4cxWOSW1CCmDnTPwrXGfjeNsbqOFALWElNMqC7HLLrO1ChabyPvXENbI286qxclY%2Fln%2BVsbLMIOkQID0fbJBLoCSniLGWIY42fXRZRv%2BYac6dvdR%2Bz9cv33sKWen89K7Ol3sunNf6Tv93Dvf3vbs6fMyY0%2B5XJcwtAfiBuDNp%2FS8cM03t4LBfgO9VaVArePmDPaVAkMfphPol9OruBQmqjT%2Bkz9U6ukf72lZzlPrLY%2FWG3ZGxJjQ%2F6Jag2CzKdpwaqJRd6JtsEIPqzatdrpS%2BZdxQ%2B9bx9tUH0BHIHugON7fAW0ArNjS6rX0kKrWMVmzq5kSY9INd1ycDKCfCGKRe%2FvYIu4W9eEKv6SIBd7qQWwAwzTaFminJ5gN1INDaFVrKIeagj%2BG1e1aBWgyozgPKTHaddAZQwKCagJg0Ebeca0nIRaGxWlhGHYhZLO47jIlB6y4SkRzD0qNHVPrJR7Ua0fd0rQzbI12pGugvdI%2BgH4GIBz9Rw1jMto%2BoBEKSzppHTozwa7HuKgXtKNaZp47h1F2jKpr4VbMTCA0Fwk9lNgfhStgEFW4ubKzglFX7YN9Td%2BrYEi1gi84wLXQj2MPaCfZt7RrGL1X515%2BL813iYCNPsIsYX6md2x3VtFTviinBKrK3CyWBffTvgS92XIbpVnbSebOWvudpQ0pAbAk6IXrUWsndtpIaqb%2BcFUZdtG4yYLqvsKC2aZOpYdaGwXaB0%2FPfliGSjD2FbA4aFuN0jBI31L3IOg%2FBTAdnjM7PXxGyzoKaz25bKLWG2dfR%2FfgMG62aUk4SlwsZQZw4fGT43X58ekd7%2BKxPupPwC0ZbBGWes20%2FZSghakSWkEA2Ogn6gt0cSTd0iL7lsKrpcUnr2yPXEfM2o7DCXbOghwJt6QjcKqFlE%2FQPug27fzvu6It6ZZvt%2FQYthGHw4c7lrt9odZcbqWvBW9D%2FaO%2FZAb4bwPvLAftCvMdUlW04kCa9MGoVbFXBPZvYEopzDmY2a%2B0iPutzmBTD1JIcpeyOWpEGGG5yWVxVeorEIy3pjCALBDgN71%2FvYCNJeGwfgk26AnDwgNqZoTgN1C5jMdAwpKm4LT4lnkzp0dntafaRHJn3O9sOtVrTp8UV68X5pJrvR65Kel0tY79undh4VSzwTmtNen3ktN7hzb1BeSztpiE046NCXNZw%2Bzpouu85XNXbTq1bb7KkEP%2FtKx%2FVrOrp6OzC3%2F17Mw6kY3G1SuF2eQqn0tuTeEvjsyMD89qbZXw9wp5Xtx99rmn%2Fe0jRhgkH83ef8a6z7VGC374Mc23uILp47%2FHr4cZl2eGGJTC3dSPI2QJkg%2B0Bq2bWIemNWCzjI5mbH0uOLV8HC4HRDVofh0gCHVHYZ0CdlRMsylYhb24jPtkMG2HWbRcY05KJ%2BOKl2656%2Bzz77r5xfi62fNf2iC6Oi%2BfNzJ%2F9rr4E0PDs3xnbFx5mW3W7OEN%2FYtmbLk8t2DwHM712Zduvvmlz6ZPvWj%2BvH%2F%2BrCzPuHneSfPmX3RqumntScO%2BUy89%2FVLb8Lz1zfM3rnrymRXnaPj1f%2FQBfzX%2FT4wf1h7G4wVAYIwJbXqfErADPoyzYKQnQKgQkC7wCSZEL80fgBHvH9kx57QzRkjTyMgOk%2FWCg%2Br1fz3LnQ4VRg6O7BBsFxwkt8J%2BJhyKF0Z2jJxx1iz1DyNk41mzdo7gV749ssNswu%2F8z1nu7umFEcKfAd%2By0G9tEHtyofiFnXBkZET9wyxNrlf03oHYQSWEefA00hqgVrWbemSMWtcXGBnYd2tVGLSDBhU1Gdr%2BpckNyqbR4NMew1AQtZSOmlVciIpRt16ZXxk878EnvlycoYVWimio%2FsvQ2qGhtUXuW1I2HQ6ns9Kx%2BSCx%2F8IeOPYanhia0EvdP54VE8hgozEU0wTjR6lkb6EvKxOfV0DFgYCMJpkf%2FwxUWmvc6XR0OEgT%2FWhV%2F3jwJ2TrTw4SuRV2nU71LSd%2BxNX%2FUg%2F%2B7McMR1KMG%2BzK3zA9wKGzmfsZrGPsoPWNw9lyN089LuhJGKBOSHe17B7AY24Puhzm0AY5sNZlq7hAZl2lLtJZ5t0zMBUQDE5vZJhuuUqzgJAgOpqx5r6pWpqLTY4wu4jtV7pExYyBkG7Ybe9XBsRvMI6m1Awa61fcmDGI3nDQccU0iaf5fK%2BeKcjLcRAKooyV%2BEbMF8Sid483zAGXiQ7ioU1fSerzhnWLjB42PbIsE12%2FfXkxOXflYCf3kKlv0azY4IpCW3l38Utr2gJ7XWKHt1nghxb%2B6Yn1K0lp6TlOspwYHYFM%2F%2FrC6bfNFpYt5z1dMy8YWbDYrlYdgqdr8Nzhzz9hXbpMXNe2iQ2HuvySUQCz3m0aGOt03zprfkCPCZ%2FH3cs%2FDbTdweAqBHYDqChhGk1spo3srNWyhz4QxOPQaSocUvppD%2FrWbNlPux%2F6w%2BbOskD9XwKjVZQ7Na8FUtKPjW%2FZ6SOUYk7xOWukpaMnhzsOt9IFtO3owcUNjUtGLHUNaoHlHNILaEmlSryXPkJDAEsfKJ2T4j7YFoZJrg%2FntIx90ZI0QyY1bMAclOJjfq%2FFzGW6Nz528%2FcfmLOiNbHa2x6Vw395ySRJ7TPiZ0vRL0SXDGbbl6c65J9lU2tlf8EoWUSbaJ5ma2XXF3sKwYG1Z7atL1%2Fdu7g5JHX1N6%2FqyBWz20MDfVYHiYW%2FGJC5EZ4P2qx38w6j3SpaCnfNB5kD1jX%2FjK7LRGr9Px0ZxYbNRJAoJSsYg4qp3lQ0LppZfGdpDAXsZf2TRgFpSQUNhxzbyt2C0T1WlxFG%2BgwF7H7xmN4TxpgDIa1tmmhipbdaYnhgbzvNk6eeuXKIRkdDMrZAwz5LOIosbZah5dXhgwYwtc4uwxct%2BiNfLLSisNSE7chdoLIGstl9bpdkopVyHpRN2Gmjlo6nmERYE8DoNdFaSMUuKiIOqGaLR2nPaQz0aI2QOFFrilQAFZJ9uYIxpNEirb45p3gOOruLBFv2ICFo01c8q7U4OowNiiqVCTRx0DrDGLNHyxcsCRbsPER9koCrifpdQHK6qJO3mYpU31QCCICMUwJkgX9FJIDDReNfoRaNKB4gzr6gxWrSNLwMNt5qJICgESAWwWoD3oDVBqVmF5zzYx2mEmigho49N5kqDdRAGhTrJDlnnBoaBdgD41Q5thVLcigPLtF5xA1csqnWvxRNAnRfACEoU5TtDtrGUMSJLWcUEX1R%2Bzwu0UQf7SLQRyV5aB4hdmSyUuzxIR20A85%2BhuWMtEuEA6tdDTydt7o%2FgyLGYXBDREtL527kZRgzbUxrDA4aOiDCvQ1GDj4oosJ8HA4Chd6NmJTdtL%2B2G9t7YLFYleJgRd%2FVPg8dHTvFU6A4WDQcRMrCFAfPRBx8k3FIUOg1Bk014kBbEBfPacShSIHHP8qVuERSvtTtGgtwJmKxktERsNZqRFz6VKWwOw%2BVBasHlyRgUmw7Sbva%2BixmfAfpq8FtNaE45YxaFUuN4LQvWO2Vk2rihNaD0da2mLrYQHTatrv%2B%2Bt%2FBawV4nRReEDAgfCx0nbC4EV6L7xPgzUlcA8x1eCsakHoz3hODW%2B%2F5qNWdd4zX7jZPLY2W6wXRzNSC7Mn1Y1jQ%2BPD77z2CRYwVraRRq1zU6hi1E%2B%2BcVCt3HGivxdFqsMTQizkJmvhUaFBkyCAWaKklU2r24GbseCXjkyH0dJP3H0ZYsNLykfcmAFkhS9V9COkj72l1mI2QqrYjR8bjfv9reGPj8Eb%2FHnjlJiznrUM0Ad7ikSMatO8%2FPBnaIiCy9P932kY5hLU2zhNhJYePaEyAiACPzGwg7WaAlfKkwUvrC4PMIFNfjqnbBysH3FqnY1AHZNrVGESpQI2oWvaGIooKp%2BXYY0KEJ18HLl%2BDWnvUW6UGFxlFeBCuivqw%2BjA%2BBmxCIS7V814DQXeI%2FyoTxYwfh%2BYbgiWxmUakMRnC16wlQ5Q86PF34kwFwoAtF0HLuI%2FJ9YHhZuhzF%2FoyoImBrsUIxtdMMknvNhjMZrPDZmWdxGE2yerPyZdZVjCbnRb%2BgPrhYhcreNRFXslqctrZCzyiSHjyrM1pM7uMP1d%2FutZTn8uUbn4Y45lMmdPpZsKabCw1CtK8DhCL3vrUtmoTuhTk9MxExSUqzVrnURjSQj6KhZDUY4VZn7R5BKUpjm8mr9Uik8OOyhlnPPoOrkxU6AAxnd%2FS6PctXmDZd2hQQKNsQ01AiGllVutwOumiGgTAEg22mVXz5CRR5QOT7Dl%2FIBxpaUWtF%2FSDOFYtYzWLyRyOxenRoEi9bfUi65Sge920gt9CCvMVE7RqQJ9Ny66rVVQ%2FuGVR8dF3yJ%2FJxvvI4fvUJzSWOHvh9ffWGPS6Ze88aiZr71Nt96kPTaltObVWj9NEH9Lhaaxw0apysKUEWKKBuoeq9iC053mzxeF0e7RKRrkJjhCjYLO7ROaENTqs3ljiRFU68uV7Lr98z4mLdNx4%2BvIGOYa%2BUBfofmm9C7eod3CgD3mUaBGfCfQF%2BnQ6NzqQfbpPsSYLzCxt7Q%2BrvMPK%2B62uY37yAnkRMxmxWyY2l3Va1Pe4FuxGjGwytiXLHOf%2BnZPu%2F%2FfdXEshNE%2B4excWqauzyZnjd2cP0PDU4aNvTbj3jXBv7LtZw11boQ1aY0rQ6GxZvL1Iby%2Fi7aUpuIMZOuHmPezqL6vzdrG3Ntz8u%2BqP2dW71Xn3j83I1p%2FfhXijz9Zfx1yqYgDRoPUi91HMffTWPrx1cDLmciHFJTxYWdoIwMaDGzez3%2BKO3HfwPvKjBvL%2F29mvbjz2JmH%2F8T%2FhjGo%2FHhzpE8Dhyf4doHhkQS7I1gZQth48%2B1UO7%2FY3ck4DMYoHNx4k7wB8977HfuvoH7OaDJPxmRz8s6BJmbDOg6e2n5lWPhmr2HFOK6rHmh8zkfkH1IT6%2FeXsnrEN5CHOdfQV4lKvJnuq3BNj02sysUhxwyrMpQyuHkYYSCMdSHzmhiNbNor0gRI87Jmytef%2FgfwxUhHkpO4hWkrnNIrustkna14hTaTgcwhkWjGOOm4siXiHpCPA8ZWwd9fYnF2YKVYs7uLe9oapEDz2DBboq5tD3PkVyn%2FDtP%2Beh%2BbjzWJQPwQInRRCJxgVZaNzAnjh2kJtpJ2KmZIRRGDZKvv1xvh1oCSQfhSkRAHLo7hxwNR3r9mmfg4hm3v9NWTj9WriN40Qvq6%2Bd82NAGAJTm64Xm3lnqjU5orR4KCwykycPiuxtQGYRENnBY0qQorUaeJpKIvUwTj%2FCfWQ%2BrxOoOITT9xY%2Bz8OivohvYgS6%2Bir9ORNX8f3Cb1J3ZR2F9E1GWjnoLRzoEljdKHKHcRy5BJvytbJ5wQKM%2BOBHLpAOl3Iz9j9x5alTsAgtijxYGk5rOYlJLB2yDKRzvhATkpmTSnnaFa7RufNqo2ip4WhKw00BjsCsHqSCiPaPrhSYY6D02nHwel42EyAvxF4JSRinkcJi0LKVlsA%2FUOwSE5GQR8oLdZvJuMoVID6l1AcaLRfPdiIwyUVOjY6Fvj01BoOFZoPZ6acMrl2QNMQwVzR%2BrcdXcErev86MnqE5g4ni7RrxZib%2FiDGls6D33tGt6m0ztg3Y6Si5AvmsL1JSW6mD4ssWZ05fFxkyebSqSPUWuhaqSsNvRA%2BugpTIlktaFUZNOPVh40NeM7p0mNAbq8kah0btZJPUDlKxAv0MyFhtXRb%2BKNuB%2FqiehHuDmDWv6Zf0h7Ro3rTaLoJBtrL7LdpRA%2Fzcg%2B9TON79V72tbrsGVpdNi29ZmpOFdmKS9M%2Bs0s2Yf9njNWYqcZusVJHYY8mHkX9ycvam1DvZ5HwYrXOeA957UmwxWxW%2F08bhtBGgVYL3W4Nqu8GEuwB2h4ba2Bq75t%2FoJ5Ee2D8czGUj%2FqNBvUK2o9vZcQjXinOjTT2Nl7C5DBDhkYjbTklVy2zVgfau22Zsr85gZXmKXxWwniyaxsmuxpbaFPjaB4hp8%2F2kbAHLZenSX7APjRwiksPboc51OqdBCi8OEAOBxaTUZrJmw0E1M2LA6otsFjdXDsy3ZYkd6pbkrbp04nBLDm4a3wBwk6Hw%2BoWcmf98LHb8bAe29RsJz%2FTzLSAnZxmskzZr2sKvgz1mdNSH7cX3UCZjNb4yO2iLBVoplqcOMVKKuQS2K%2B5bsNHZSkB6KSiJJ%2BQtCxz0E4PotE0WrkAdJl1RfWOYq24AQswUxfQY6hQaVdrBs3YnMrZ6qFi3dwfrZx9dqU4Nu%2BRWx%2BBcXExLv4h%2FiF8RrA7zMlhLjeT9GHBJxAwTVKFYYLpw07iIpHhe847%2F6f3Xx%2BJPCIKnu94el1bdh47d4todHze0e1%2BmPt95x13HTzv%2FHuGouRhd9pxu4MXt5x7bOcWscf7oscoPjwxtx%2FXt4zeXwmf45qheXsnZUoj9AEvTWhfZmCCtYn7ku3ZWZRomJpQIPneYS6LzCvp9VE0K8Hrm0mGyRDpa5ElL3aIBo0%2FzcdjDt5JJAe5mPUlV25emfQRQi52SChkvOGQ9%2Fve0A4yvINuGIPFra9vO%2F2xq4ozu8zm7EFvzkEyWd7eEpC8Tc0WS1b9qSPnxXZ47JNSgI%2FyMekev%2F8eKQabAaliCpzU0y5F29qiVkt9%2FmIecKAefycTO%2FdGpUQ0hT1dJa2LPX2JMn16x0fcN26gj%2BPQus5Xdh2hT6TGf%2Brmou5zqN3DTDvatOoRdm%2BOSjvLIepN1vpUaQuB9gSReuO%2FWoubXH2riKkGtEKIfhT1Hc0cr6VwsAc0rqImJj5LSu%2Bph70UsGpsge5PcNXtnq4Gf4Ko%2BRPw%2BX2iiz4DoCXe1qF1I6D7wZZkW7tW5DmpjR6G2jzoPMxpXf0NOXQogjqBfeiVrewBrLccm7NVoZ2TKMNjLyqgm%2F6UM3IYr1Bt8I7VGns1IUa930XNoff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AxNRE0NjMhMhYVERQGIyEiJhkBNDYzITIWFREUBiMhIiYBETQ2MyEyFhURFAYjISImGQE0NjMhMhYVERQGIyEiJh0VAZAVHR0V%2FnAVHR0VAZAVHR0V%2FnAVHQJYHRUBkBUdHRX%2BcBUdHRUBkBUdHRX%2BcBUdMgGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHf29AZAVHR0V%2FnAVHR0CbQGQFR0dFf5wFR0dAAAJAAAAAARMBEwADwAfAC8APwBPAF8AbwB%2FAI8AdgCyDQAAK7E8bDMzsATNsTRkMjKwHS%2BxTHwzM7AUzbFEdDIysC0vsVyMMzOwJM2xVIQyMgGwkC%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%2BwTDOwHM2wRDKwLS%2BwXDOwJM2wVDIBsGAvsADWsRAgMjKwCc2xFygyMrAJELEwASuxQFAyMrA5zbFIWDIysWEBKwAwMT0BNDY7ATIWHQEUBisBIiYRFBY7ATI2PQE0JisBIgYVPQE0NjsBMhYdARQGKwEiJgE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHQGQHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdHRUCvBUdHRX9RBUdMsgVHR0VyBUdHQGlFR0dFcgVHR0VyMgVHR0VyBUdHfz1yBUdHRXIFR0dAaXIFR0dFcgVHR0BpcgVHR0VyBUdHQAAAAEAHQAiBPIEKgAFAAATCQEnAScdAaMDMtT9oc4Bxv5cAzTU%2FaHPAAABAGoAagRGBEYACwAAEwkBNwkBFwkBBwkBagEa%2FubUARoBGtT%2B5gEa1P7m%2FuYBPgEaARrU%2FuYBGtT%2B5v7m1AEa%2FuYAAAMAF%2F%2FsBMQEmQATABsAJwC3ALIOAAArsBIvsBfNsBwvsCMzsB3NsCEyshwdCiuzQBwmCSuyHRwKK7NAHR8JK7AbL7ADzQGwKC%2BwAdawFc2wFRCxJgErsB4ysCXNsCAysiUmCiuzQCUjCSuyJiUKK7NAJhwJK7AlELEZASuwBc2xKQErsSYVERKyAhYbOTk5sCURsBI5sBkSswMXEBokFzmwBRGwBzkAsRcSERKwEDmxHQ4RErMABRUYJBc5sBsRshQZATk5OTAxEhAAIAAVFAcBFhQPAQYiJwEGIyICEBYgNhAmIAM1MzUzFTMVIxUjNRcBHAGQARxOASwHB20IFAj%2B1HeOyIPCARLBwf7uRmTIZGTIAe0BkAEc%2FuTIjnf%2B1AgUCG0HBwEsTgJs%2FvDCwQESwf5ZyGRkyGRkAAADABf%2F7ATEBJoAEwAbAB8AXQCyDgAAK7ASL7AXzbAbL7ADzQGwIC%2BwAdawFc2wFRCxGQErsAXNsSEBK7EZFREStQMCEBIcHSQXObAFEbAHOQCxEg4RErAJObAXEbAQObAbErUBAAcFHB4kFzkwMRIQACAAFRQHARYUDwEGIicBBiMiAhAWIDYQJiADITUhFwEcAZABHE4BLAcHbQgUCP7Ud47Ig8IBEsHB%2Fu5GAZD%2BcAHuAZABHP7kyI15%2FtUHFgdtCAgBLE4CbP7wwsIBEML%2BWcgAAAIAFwAXBJkEsAAbACsARQCwGC%2BwCs0BsCwvsADWsAfNsgcACiuzQAcDCSuwBxCxDAErsBPNsgwTCiuzQAwQCSuxLQErsQwHERKzFxgcIyQXOQAwMRM0EjcVDgEVFBYgNjU0Jic1FhIVFA4CIi4CARQWOwEyNjURNCYrASIGFRfSp2d8%2BgFi%2Bnxnp9Jbm9Xs1ZtbAd0dFWQVHR0VZBUdAli3ASg%2BpjfIeLH6%2BrF4yDemPv7Yt3bVm1tbm9UBDBUdHRUBkBUdHRUABABkAAEEsASxAAMABwALAA8AMACyBAAAK7EIDDMzAbAQL7AE1rAHzbAHELEIASuwC82wCxCxDAErsA%2FNsREBKwAwMTczESMBETMRMxEzETMRMxFkyMgBLMhkyGTIAQEs%2FtQB9P4MAyD84ASw%2B1AAAAIAGgAbBJYElgBHAFEAYgCwEi%2BwUM2wSy%2BwNs0BsFIvsADWsEjNsEgQsU0BK7AkzbFTASuxSAARErELPTk5sE0Rsw8VMzkkFzmwJBKxGS85OQCxUBIRErEHHTk5sEsRswMhJ0UkFzmwNhKxK0E5OTAxExQfAhYfAQcWFzcXFh8CFjMyPwI2PwEXNjcnNzY%2FAjY1NC8CJi8BNyYnBycmLwImIyIPAgYPAScGBxcHBg8CBgU0NjIWFRQGIiYaBpcCDhgDUC08hQUtMQUmKCIbLyYGLi8FhjgwUAMYDwGYBQWYARAXA1AsPIYFLTAGJigiGy8mBTIsBYU7LlADGQ0ClwYBZ36yfn6yfgJZISkmBjEsBYY7LlEDGg0ClwUFlwINGgNRLD2GBSwxBiYoIhwtJgYzKgWGOi9RAxkOAZgFBZgBDhkDUS86hgUvLgYmMBlYfn5YWX5%2BAAAABwBk%2F%2F8EsAUUABkAIwAnACsALwAzADcAiQCyIQAAK7AkzbIoMDQyMjKwJy%2ByKjI2MzMzsBvNsBcvsATNsQ4sMjKwLy%2BwCc0BsDgvsBrWsCTNsCQQsSUBK7AFMrAozbAsMrIlKAors0AlAAkrsCgQsSkBK7AwzbAwELExASuwLTKwNM2wDTKyNDEKK7NANBMJK7A0ELE1ASuwHc2xOQErADAxEzU0NjMhNTQ2MyEyFh0BITIWHQEUBiMhIiYTESERFAYjISImNzMRIxMzESMRITUhEzMRIxMzESNkDwoBEzspASwpOwETCg8OC%2FvmCw5kA4Q7Kf1EKTtkZGTIZGQBLP7UyGRkyGRkBAEyCg9kKTs7KWQPCjILDg78bgMg%2FOApPDwpArz9RAK8ASxk%2B7QCvP1EArwAAAAAAQABAAEFFQTdAAoALACyCQAAK7AEMwGwCy%2BwCdawCM2wCBCxBQErsATNsQwBK7EFCBESsAE5ADAxEwkBIxEhESERIREBApAChMj%2B1P7U%2FtQCWQKE%2FXz9qAGQ%2FnACWAAAAgBkAAAD6ASwAA4AEQAiALIMAAArAbASL7AB1rAGzbIGAQors0AGCAkrsRMBKwAwMTcRNDYzIREhERQGIyEiJgERAWQOCwHbAZAOC%2FyuCw4CWAEsGQR%2BCw7%2BDP1dCw4OAxIBLP7UAAADAAQABASsBKwACwATABkAggCwCi%2BwD82wFC%2BwF82yFxQKK7NAFxUJK7ATL7AEzQGwGi%2BwAdawDc2wDRCxFAErsBfNshcUCiuzQBcZCSuwFxCxEQErsAfNsRsBK7EUDRESswoDDhMkFzmxERcRErMJBA8SJBc5ALEUDxESswcADRAkFzmxExcRErMGAREMJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIBMRMxEzFQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqkdkyAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9%2FgGQ%2FtRkAAAAAAL%2FnAAABRQEsAALAA8ALgCyAAAAK7AHM7AKL7AMzbAPL7ADzbIDDwors0ADAQkrsAUyAbAQL7ERASsAMDEjATMDMwMzASEDIwMTMwMjZAGv0RWiFNABr%2F3mKfIoMeAbqgSw%2FtQBLPtQAZD%2BcAH0ASwAAAAAAgAAAAAETASwAAsADwBKALILAAArsAzNsA8vsAnNsAEyAbAQL7AE1rAHzbIEBwors0AEAAkrsAcQsQ0BK7AKzbERASuxBwQRErECCTk5sA0RsQgMOTkAMDExESEBMxEhETMBIRElMzUjAer%2B3sgBLMj%2B3gHq%2FuGvrwGQASwB9P4M%2FtT%2BcMhkAAMAAQABBK8ErwAPABcAHgBjALINAAArsBPNsBcvsAXNAbAfL7AB1rARzbARELEZASuwHM2wHBCxFQErsAnNsSABK7EZEREStA0EEhcYJBc5sBwRsB45sBUStAwFExYdJBc5ALEXExEStQEICQAaHiQXOTAxEjQ%2BAjIeAhQOAiIuARIQFiA2ECYgAzMRMxEzAwFfoN703qBfX6De9N6gXPIBVPLy%2FqxQlsiW%2BgHe9N6gX1%2Bg3vTeoF9foAIC%2Fqzy8gFU8v5kASz%2B1P7UAAMABAAEBKwErAALABMAGgBhALAKL7APzbATL7AEzQGwGy%2BwAdawDc2wDRCxGQErsBjNsBgQsREBK7AHzbEcASuxGQ0RErQKAw4TFCQXObAYEbAVObARErQJBA8SFiQXOQCxEw8RErUBBgcAFRgkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAxsBIxEjEQSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2Bqk%2F6%2BpbIAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F5iASz%2B1P7UASwAAAACAAAAAASwBLAACwATACkAsgkAACuwDM2wEDKwEy%2BwAs0BsBQvsRUBKwCxDAkRErIEAQ45OTkwMTUREyEbARQGIyEiJhMzFyE3MwMhyAMgxwEOC%2FuCCw7IyDIBLDLIYf2iGQHbArz9RP4lCw4OAebIyAH0AAMABAAEBKwErAALABUAGABGALAKL7APzbAUL7AEzQGwGS%2BwAdawDM2wDBCxEQErsAfNsRoBK7ERDBEStQQJCgMWGCQXOQCxFA8RErUBBgcAFhckFzkwMRIQEiQgBBIQAgQgJBMUFiA2NTQmIAYBEQUEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzAToBKQG2AUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FP%2BigGRyAABABcAFwSZBLAAHABTALAFL7ANzbARL7AZzQGwHS%2BwAdawD82wDxCxCgErsAnNsR4BK7EKDxEStQUEExQXGSQXObAJEbEVFjk5ALERDREStAEACRQVJBc5sBkRsBc5MDESFB4CMj4CNSMUBiAmEDYzMhcHIREHJiMiDgEXW5vV7NWbW5b6%2Fp76%2BrGIbpIBkJGdxnbVmwLO7NWbW1ub1Xax%2BvoBYvpRkgGQkXpbmwAAAAIAFwAABJkEsAAQACEAegCyEQAAK7AfL7AWzbIWHwors0AWGgkrsA0vsAXNsg0FCiuzQA0ACSsBsCIvsADWsBDNsBAQsRkBK7AazbEjASuxEAARErEREjk5sBkRtwcFCwoTFB8hJBc5sBoSsQkIOTkAsRYfERKwITmwDRGxCRI5ObAFErAHOTAxEzQ%2BAjMyFzcRITcmIyIGFQMRIQcWMzI2NTMUDgIjIicXW5vVdsadkf5wk3CHsfpJAZCTcIex%2BpZbm9V2xp0CWHbVm1t6kf5wk1D6sf2oAZCTUPqxdtWbW3oAAAoAZAAABLAEsAADAAcACwAPABMAFwAbAB8AIwAnAFAAsAgvsBgzsAnNsBoysAwvsBwzsA3NsB0ysBAvsCAzsBHNsCEysBQvsCQzsBXNsCUyAbAoL7AI1rIMEBQyMjKwC82yDhIWMjIysSkBKwAwMTMhESETESERJTUzFSc1MxUnNTMVJzUzFRMhNSE9ASEVJTUhFSU1IRVkBEz7tGQDhPzgZGRkZGRkZGQB9P4MAfT%2BDAH0%2FgwB9ASw%2B7QDhPx8ZGRkyGRkyGRkyGRk%2FahkZGRkyGRkyGRkAAIAAAAABEwEsAAZACMASgCyFwAAK7AgL7AJzQGwJC%2BwBdawGs2yBRoKK7NABQAJK7AaELEbASuwDs2yDhsKK7NADhMJK7ElASsAsSAXERKzBA4FGiQXOTAxNRE0NjsBNTQ2MyEyFh0BMzIWFREUBiMhIiYBITU0JisBIgYVOylkdlIBLFJ2ZCk7Oyn8fCk7AZABLB0VyBUdZAJYKTvIUnZ2Usg7Kf2oKTs7AuWWFR0dFQAAAAIAZAAABEwETAADABUAFwCyAAAAKwGwFi%2BwANawA82xFwErADAxMxEzERM%2BAR4CPgE3EQ4BLgMGB2RkZDyHeHxyamQpKHuEkId0WhQETPu0AZA8MA0hGwVPUQH0UUUKKCgKRVEAAAAAAwAAAAAEsASXACEAMQBBAGcAsi8AACuwPjOwJs2wNjKwDC%2BwHc0BsEIvsADWsAfNsAcQsSIBK7ArzbArELEyASuwO82wOxCxEAErsBfNsUMBK7EyKxESswwLHRwkFzkAsSYvERK0BxATFAMkFzmwDBGxCA85OTAxERQWOwEyNjURND4BIB4BFREUFjsBMjY1ETQuAiIOAhUTETQ2OwEyFhURFAYrASImJRE0NjsBMhYVERQGKwEiJg4LMgsOjeQBBuSNDgsyCw5jo97o3qNjyAwIoAgMDAigCAwCWAwIoAgMDAigCAwBEwsODgsBLH%2FRcnLRf%2F7UCw4OCwEsdN6jY2Oj3nT91QHMCAwMCP40CAwMCAHMCAwMCP40CAwMAAAAAgAAAMgEWAPoAAUAEQAAESEFEQUhATcnNxc3FwcXBycHASwBLP7U%2FtQCsI2NR42NR42NR42NAZDIAyDI%2FquNjUeNjUeNjUeNjQAAAAIAAADIA3AD6AAFAA8AEgABsBAvsA7WsAnNsREBKwAwMREhBREFISU3FhUUByc2NTQBLAEs%2FtT%2B1AK8RW9qQ1YBkMgDIMg5NYevqYU2boqSAAAAAAMAAAC6BGID9wAFAA8AHQA8ALAAL7ABzQGwHi%2BwDtawCc2wCRCxEwErsBrNsR8BK7ETCRESsxAWFx0kFzkAsQEAERKzCQ4TGiQXOTAxGQEhJRElATcWFRQHJzY1NDcXFhUUDwEXNzY1NC8BASwBLP7UAZJFb2pDVl4He3cHUQaOkAYBkQGQyPzgyAHJNYevqoU3boqRzQiXwb2WCEIIsuPmsggADQAAAAAEsASwAAcAEQAVABkAHQAhAC8AMwA%2FAEMARwBLAE8BAQCyAAAAK7EwRDMzsBLNsikxRTIyMrAaL7InK0wzMzOwG82yJS1NMjIysCIvsQIGMzOwI82wCDKwHi%2BxDkgzM7AhzbE0STIyAbBQL7Aa1rEFHjIysB3NsQMfMjKwHRCxMAErsQ0sMjKwM82wNTKwMxCxLgsrsCoysCXNsEAysi4lCiuzQC4iCSuyAQsPMjIysCUQsTcBK7FESDIysDvNsSZKMjKwOxCxTAErsEIysE%2FNsjk9RjIyMrFRASuxMB0RErUUFRgZND8kFzmxNyURErIoKTg5OTkAsSIbERKzExQ4OSQXObAjEbIEOjs5OTmwHhJACQUWGTY3PD1AQyQXOTAxMSERIzUjFSM1MzUhNTM1IxEhExEhEQERIREDNTMVAzM1IwE1IREzFSMVIzUjNTM1AzUzFQMzETMRITUjNTMRIRMRIREDNSEVATUzFRM1MxUB9MhkyGQBkGRk%2FgxkASz%2B1AEsyGRkZGQBLAEsyGTIZGRkZGRkyAEsyMj9qMgBLMgBLP7UZGRkAfRkZGRkZGQBLPu0ASz%2B1AK8ASz%2B1P2oZGQCvGT%2BDGT%2B1GRkZGTI%2FgxkZAPo%2FtT%2B1MhkAfT%2BcAEs%2FtT84GRkA4RkZP1EZGQAAAAACQAAAAAEsASwAAMABwALAA8AEwAXABsAHwAjAHAAsgwAACuyBBQcMzMzsA3NsRUdMjKyDAAAK7AFzQGwJC%2BwCNawC82wCxCxEAErsAwysBPNsA%2FNsBMQsRQLK7AXzbAXELEYCyuwG82wGxCxIAErsCPNsSUBK7EQCxESsQcGOTmxGxcRErEcHTk5ADAxNTMRIxM1IRUnETMRFzUzFScRMxEVNTMVNREzERU1MxUnETMRZGRkASzIZMhkZMhkZMhkyMgD6PtQZGTIA%2Bj8GMhbW8gD6PwYyFtbyAPo%2FBjIW1vIA%2Bj8GAAAAAIAAAAABLAEsAAHABMAKQCyBwAAK7ASL7AEzQGwFC%2BwAdawCc2xFQErALESBxESsgAGCzk5OTAxERM0NjMhCQEAFBcWMjc2NCcmIgcBDwoB2gK8%2Fgz92B0eUx4dHR5THgK8AdsKD%2F1E%2FgwD41QdHh4dVB0eHgAAAAMAAQAABd0EsAAHABMAGQAxALIHAAArsBczsBIvsATNsBQyAbAaL7AB1rAJzbEbASsAsRIHERK0AAYLFhkkFzkwMRsBNDYzIQkBABQXFjI3NjQnJiIHJTMJAScBAQEOCwHaArz%2BDP3XHh1UHR4eHVQdAgtkArz%2BDDIBwgK8AdsLDv1E%2FgwD41QdHh4dVB0eHrD9RP4MMgHCAAAAAAEAZAAABLAEsAAKAD8AsgAAACuwBy%2BwAs0BsAsvsADWsArNsAoQsQUBK7AEzbEMASuxCgARErICBwg5OTkAsQcAERKyAQQFOTk5MDEzETchEQcRIQchEWSvA51k%2FRJkAu4EAa%2F8GGQD6GT8GAAAAAABAMgAAARMBLEACgAAMwkBETQmIyEiBhXIAcIBwh0V%2FOAVHQG8%2FkUEfhQeHhQAAAADAAAAAASwBLAACwAXACcAWQCyJQAAK7AczbAKL7ADzbIKAwors0AKAAkrsAcysgMKCiuzQAMBCSuwBTIBsCgvsADWsAvNsAIysAsQsQgBK7AFMrAHzbEpASuxCAsRErMMDyciJBc5ADAxNREzFyE3MxEjNSEVExchNwMuASMhIgYHAzc%2BATMhMhYfARYGIyEiJshkAlhkyMj84DUoAlA%2BXgIQCv4%2BChACQiYCEwoB9AoTAiYCCwr9qAoLZAK8yMj9RMjIAtl8fAFaCw4OC%2FuBmAoODgqYCg4OAAAABAAAAGQEsARMAB0AJQAtADEAbwCwAy%2BwJc2wKS%2BwLc2wIS%2BwE80BsDIvsADWsB%2FNsh8ACiuzQB8vCSuwHxCxJwErsCvNsTMBK7EfABESsBk5sSsnERKzISQlICQXOQCxLSkRErMfIiMeJBc5sCERsS4xOTmwExK0CxkaLzAkFzkwMTUUFjMhMjY1ETQmKwEuBCsBIg4CDwEjIgYVADQ2MhYUBiICFBYyNjQmIiU1MxU7KQPoKTs7KZYEDzM3UyrIKVI6LgsMlik7AWSQyJCQyAY%2BWD4%2BWAFYZMgpOzspAlgpOwgbRTUrKTs7FRQ7Kf5wyJCQyJABIFg%2BPlg%2BXmRkAAIANQAABLAErwAeACIAHgCyAAAAK7ANM7AezbICDA8yMjIBsCMvsSQBKwAwMTMhNSIuAT8BIRcWBiMVITUmJy4BLwEBIwEGBw4BDwEBExcTNQFtKT4kE1wBh1IQKzUBoSIoEh4GBv5%2FXf5xGBwMKg8PAWuyLnRCFjYs6t4tV0JCASoTLg4NA%2Bb8EjAbDBoHBwHHAcmM%2FsMAAwBkAAADwwSwACAAKQAxAGUAsiAAACuwIc2yIAAAK7ABzbApL7AqzbAxL7ANzbANELALzQGwMi%2BwBNawIc2wKjKwIRCxLgErsBDNsCUg1hGwHM2xMwErsSUuERKwFjkAsSkhERKwHDmwKhGwFjmwMRKwEDkwMTM1PgE1ETQuAyc1BTIWFRQOAg8BHgQVFA4BIyczMjY1NCYrATUzMjY1NCYjZCk7AgkWJB8B13i6FyEiCwwIG0U0K3amT8ihWYB9Xp%2BLTGyom1kHMygDOxwXHQ0PB0cBsIw3XTcoCAcDDDNBdkZUkU3IYVRagWR7TVJhAAAAAAEAyAAAA28EsAAZACAAsgAAACuwAc2wGDKwCy%2BwDjOwDM0BsBovsRsBKwAwMTM1PgE3EzYmJy4BJzUhFw4DDwEDBhYXFchNcwitCihHBgkFAakCIToiGQUFgAowRzkHQy8DUTgkEwEDATk5CCMnJQwM%2FMc0PAY5AAL%2FtQAABRQEsAAJACUAfgCyGwAAK7AfL7ICBRYzMzOwDM2yHwwKK7NAHxAJK7AKMgGwJi%2BwAdawB82wBxCxCgErsCXNsCUQsR0BK7AYzbIYHQors0AYGgkrsh0YCiuzQB0bCSuwGBCxEAErsA%2FNsScBK7EKBxESsQUIOTkAsR8bERKwCTmwDBGwBDkwMSczESM3FyMRMwcTETMhMxEjNC4DKwERFxUhNTcRIyIOAxVLS0t9fUtLffqWAryWMhAVLiEiyGT%2BcGTIIiEvFBHIAyCnp%2FzgpwNjASz%2B1B0nFQkC%2FK4yZGQyA1ICCRUnHQAAAAIAIf%2B2BI8EsQAJACUAiQCyCAAAK7ACzbAfL7AWM7AMzbIfDAors0AfCgkrsA8yAbAmL7AK1rAlzbAlELEdASuwGM2yGB0KK7NAGBoJK7IdGAors0AdGwkrsBgQsRABK7APzbEnASuxHSURErMCCAkBJBc5sRAYERKzBAYHAyQXOQCxAggRErEABTk5sB8RsgEEGjk5OTAxPwEVITUXBzUhFQMRMyEzESM0LgMrAREXFSE1NxEjIg4DFSGnAyCnp%2FzgZJYCvJYyEBQvISLIZP5wZMgiIS4VEDN9S0t9fUtLA88BLP7UHScVCQL9djJkZDICigIJFScdAAAAAAQAAAAABLAETAAPAB8ALwA%2FAAA1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVHRUETBUdHRX7tBUdHRUDIBUdHRX84BUdHRUD6BUdHRX8GBUdHRUCWBUdHRX9qBUdMhQeHhRkFR0dFcgUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFQAEAAAAAASwBEwADwAfAC8APwAANRQWMyEyNj0BNCYjISIGFREUFjMhMjY9ATQmIyEiBhUTFBYzITI2PQE0JiMhIgYVERQWMyEyNj0BNCYjISIGFR0VBEwVHR0V%2B7QVHR0VBEwVHR0V%2B7QVHcgdFQK8FR0dFf1EFR0dFQK8FR0dFf1EFR0yFB4eFGQVHR0VAfQUHh4UZBUdHRX%2BcBQeHhRkFR0dFQH0FB4eFGQVHR0VAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wLS%2BwJM2wHS%2BwFM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYTNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJhM1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR1kHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHcgdFQJYFR0dFf2oFR0yZBUdHRVkFB4eAmxkFR0dFWQUHh7%2B6GQVHR0VZBQeHgJsZBUdHRVkFB4eAAQAAAAABLAETAAPAB8ALwA%2FACYAsg0AACuwBM2wHS%2BwFM2wLS%2BwJM2wPS%2BwNM0BsEAvsUEBKwAwMT0BNDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYdFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0yZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAAAAAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AUgCyDQAAK7BMM7AEzbBEMrAdL7BcM7AUzbBUMrAtL7BsM7AkzbBkMrA9L7B8M7A0zbB0MgGwgC%2BwANayECAwMjIysAnNshgoODIyMrGBASsAMDE9ATQ2OwEyFh0BFAYrASImETU0NjsBMhYdARQGKwEiJhE1NDY7ATIWHQEUBisBIiYRNTQ2OwEyFh0BFAYrASImATU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYRNTQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJh0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0dFWQVHR0VZBUdHRVkFR0BLB0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHR0VAyAVHR0V%2FOAVHTJkFR0dFWQUHh4BQGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh78kGQVHR0VZBQeHgFAZBUdHRVkFB4eAUBkFR0dFWQUHh4BQGQVHR0VZBQeHgAABv%2BbAAAEsARMAAYACgAaACoAOgBKACAAsAAvsCYzsAHNsC4yAbBLL7FMASsAsQEAERKwBDkwMQM1MzUXBzUTMxEjExQWMyEyNj0BNCYjISIGFTUUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWOwEyNj0BNCYrASIGFWXJpqbIZGTIHRUCWBQeHhT9qBUdHRUBLBQeHhT%2B1BUdHRUB9BQeHhT%2BDBUdHRVkFB4eFGQVHQH0ZEt9fUv%2BDARM%2B%2BYUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRUAAAAABgABAAAFFQRMAA8AHwAvAD8AQwBKABcAskAAACsBsEsvsEDWsEPNsUwBKwAwMTcUFjMhMjY9ATQmIyEiBhU1FBYzITI2PQE0JiMhIgYVNRQWMyEyNj0BNCYjISIGFTUUFjsBMjY9ATQmKwEiBhUBETMRExc1MzUjNQEdFQJYFB4eFP2oFR0dFQEsFB4eFP7UFR0dFQH0FB4eFP4MFR0dFWQUHh4UZBUdAyBkIafIyDIUHh4UZBUdHRXIFB4eFGQVHR0VyBQeHhRkFR0dFcgUHh4UZBUdHRX75gRM%2B7QCJn1LZEsAAgAAAMgEsAPoAA8AEgAtALANL7AEzbAEzQGwEy%2BwANawCc2xFAErsQkAERKwEDkAsQQNERKxERI5OTAxGQE0NjMhMhYVERQGIyEiJgkBESwfAu4fLCwf%2FRIfLAOEASwBEwKKHywsH%2F12HywsAWQBLP2oAAADAAAAAASwBEwADwAXAB8AWQCyDQAAK7AfL7AbzbAXL7AEzQGwIC%2BwANawEM2wEBCxGQErsB3NsB0QsRUBK7AJzbEhASuxHRkRErARObAVEbETEjk5ALEfDRESshATFTk5ObAbEbAUOTAxNRE0NjMhMhYVERQGIyEiJj8BBScBExEhEjQ2MhYUBiIaEgRYExkZE%2FuoEhpk9wEqSgEl7PwYbE5wTk5wLAP0EhoaEvwMEhoa7baDnAE%2B%2FuAB9P7OcE5OcE4AAgCU%2F%2FMEHAS9ABQAHgA9ALINAAArsB0vsATNAbAfL7AA1rAVzbAVELEbASuwCM2xIAErsRsVERKxDQQ5OQCxHQ0RErIHABg5OTkwMRM0PgEzMh4BFAcOAQ8BLgQnJjcUFjMyNjQmIgaUedF6e9B5SUm7OTkKImNdcys%2Fwpdqa5eX1pYC6XzXgX7V9pVy9kJCCSJrb6BLi5Zrl5fWlpcAAAIAAQABBK8ErwAPABUASQCyDQAAK7ATzbAUL7AFzQGwFi%2BwAdawEc2wERCxEwErsAnNsRcBK7ETERESsQ0EOTmwCRGxBQw5OQCxFBMRErMBCAkAJBc5MDESND4CMh4CFA4CIi4BEhAWMxEiAV%2Bg3vTeoF9foN703qBN%2B7CwAd703qBfX6De9N6gX1%2BgAgn%2BnvoDVgACAHUABAPfBQ8AFgAlAAATND4DNx4GFRQOAgcuAjceARc3LgInJjY%2FAQ4BdURtc3MeFUlPV00%2FJU5%2Bmk9yw4B%2BDltbEAcWLgoPAgkJXDcBll64oZ3FYEePdndzdYZFWZlkOwQGXrh%2BUmwaYgYWSihJjTQzbpYAAAADAAAAAATFBGgAHAAhACYAVwCyGgAAK7APzbAIL7AEzQGwJy%2BwANawDM2wDBCxEwErsBbNsSgBK7ETDBESswYdHiAkFzmwFhGxHyI5OQCxCA8RErMVHR8hJBc5sAQRsyAiIyUkFzkwMRkBNDYzBBcHISIGFREUFjMhMjY9ATcVFAYjISImJTcBJwkBFzcvAeulAW4fuv7JKTs7KQH0KTvI66X%2B1KXrAbShAZxy%2FmsB%2BXFxFVwBkAEspesGCLo7Kf4MKTs7KX3I4aXr62oyAZxx%2FmsB%2BHFxVRwAAAAAAgAAAAAElQRMABwALgBIALIaAAArsBDNsCIvsCfNsAkvsATNsAQQsAbNAbAvL7AA1rANzbEwASsAsSIQERKyFR0kOTk5sQkaERKwJTmxBAYRErAmOTAxGQE0NjMhFwYHIyIGFREUFjMhMjY1NxUUBiMhIiYBPgMfARUJARUiDgXrpQEFAoVVkSk7OykB9Ck7yOul%2FtSl6wGnHmdnXx4dAWj%2BmQcYSENWQzkBkAEspetQIFg7Kf4MKTs7KZk1pevrASEmNBMJAQHRAUQBPtgCDhczQ20AAAAAAgAAAAAEqARMAB0AIwBSALIbAAArsBDNsAkvsATNAbAkL7AA1rANzbANELEUASuwF82xJQErsRQNERKzBx4fIiQXObAXEbAhOQCxCRARErMWHyIjJBc5sAQRsSAhOTkwMRkBNDYzITIXByEiBhURFBYzITI2PQE3FRQGIyEiJgkCJwEn66UBLD1Csv6jKTs7KQH0KTvI66X%2B1KXrAVYBGwI3if5SkgGQASyl6xexOyn%2BDCk7OylFyKml6%2BsBjf7kAjeJ%2FlGTAAABAAAAAQSwBLEAFwBFALISAAArsBYvsA4zsALNsAkyAbAYL7AU1rADMrAQzbAIMrEZASuxEBQRErEGEjk5ALEWEhESsQ0XOTmwAhGxAAw5OTAxEQEVMzUjCQEjFTM1CQE1IxUzCQEzNSMVASzIyAEsASfDyAEs%2FtTIw%2F7Z%2FtTIyAJbASjGyAEs%2FtTIxv7Y%2FtTGyP7UASzIxgAAAAABAMgAAAOEBEwAEwAdALIRAAArsAszAbAUL7AA1rANzbAIMrEVASsAMDE3ETQ2OwEyFhURAREBERQGKwEiJsgdFWQVHQH0%2FgwdFWQVHTID6BUdHRX%2BSwHn%2B7QB6P5KFR0dAAAAAQAAAAAEsARMABcAHwCyFQAAK7ENDzMzAbAYL7AA1rARzbAIMrEZASsAMDE1ETQ2OwEyFhURAREBEQERAREUBisBIiYdFWQVHQH0AfT%2BDP4MHRVkFR0yA%2BgVHR0V%2FksB5%2F4ZAef7tAHo%2FhgB6P5KFR0dAAABAIgAAASwBEwABgAUALIGAAArsAQzAbAHL7EIASsAMDETAREBEQERiAI0AfT%2BDAImAib%2BGQHn%2B7QB6P4YAAAAAQDIAAAETARMAAIAADMJAcgDhPx8AiYCJgAAAAIAyABkA4QD6AAPAB8AADcUFjsBMjY1ETQmKwEiBhUBFBY7ATI2NRE0JisBIgYVyB0VyBUdHRXIFR0BkB0VyBUdHRXIFR2WFR0dFQMgFR0dFfzgFR0dFQMgFR0dFQAAAAEAyABkBEwD6AAPAAA3FBYzITI2NRE0JiMhIgYVyB0VAyAVHR0V%2FOAVHZYUHh4UAyAVHR0VAAAAAQAAAAAEKARMAAYAFACyAAAAK7AFMwGwBy%2BxCAErADAxMREBEQkBEQH0AjT9zARM%2FhkB5%2F3a%2FdoB6AAAAQAAAAAEsARMABcAHwCyAAAAK7EQFjMzAbAYL7AU1rAEMrANzbEZASsAMDExEQERARE0NjsBMhYVERQGKwEiJjURAREB9AH0HRVkFR0dFWQVHf4MBEz%2BGQHn%2FhkBtRUdHRX8GBUdHRUBtv4YAegAAAEBLAAAA%2BgETAATAB0AsgAAACuwDjMBsBQvsBLWsAIysAvNsRUBKwAwMSERARE0NjsBMhYVERQGKwEiJjURASwB9B0VZBUdHRVkFR0ETP4ZAbUVHR0V%2FBgVHR0VAbYAAAIAZADIBLAEKAAPABIAEgCwDS%2BwBM0BsBMvsRQBKwAwMTc1NDYzITIWHQEUBiMhIiYRIQFkHRUD6BUdHRX8GBUdBEz92vpkFR0dFWQVHR0BDwI0AAEAuQAHA%2FkEqQAFAAATATcJASe5AlDw%2Fp8BYfACV%2F2w8AFhAWHwAAABARD%2F0gRSBHQACAAAJQkBNwEXBxUBARABYf6f8QI8FQH9sMIBYQFh8P3FFgEB%2FbEAAAAAAgADAAMErQStAAsAFwBCALAKL7AOzbAVL7AEzQGwGC%2BwAdawDM2wDBCxEQErsAfNsRkBK7ERDBESswQJCgMkFzkAsRUOERKzAQYHACQXOTAxEhASJCAEEhACBCAkEzMVMzUzNSM1IxUjA6ABEwFEAROgoP7t%2Frz%2B7YnIyMjIyMgBtgFEAROgoP7t%2Frz%2B7aCgAVHIyMjIyAACAAMAAwStBK0ACwAPAEkAsAovsAzNsA8vsATNAbAQL7AB1rAMzbAMELENASuwB82xEQErsQ0MERKzBAkKAyQXOQCxDAoRErEHADk5sQQPERKxAQY5OTAxEhASJCAEEhACBCAkEyE1IQOgARMBRAEToKD%2B7f68%2Fu2JAlj9qAG2AUQBE6Cg%2Fu3%2BvP7toKABUcgAAAAAAgADAAMErQStAAsAFwAyALAKL7AEzbAEzQGwGC%2BwAdawB82wB82xGQErsQcBERKxDBA5OQCxBAoRErENFTk5MDESEBIkIAQSEAIEICQTFzcXNyc3JwcnBxcDoAETAUQBE6Cg%2Fu3%2BvP7tU9WNjdWOjtWNjdSNAbYBRAEToKD%2B7f68%2Fu2goAEo1Y6O1Y2N1I2O1Y0AAAIAAwADBK0ErQALABEAMgCwCi%2BwBM2wBM0BsBIvsAHWsAfNsAfNsRMBK7EHARESsQwOOTkAsQQKERKxDQ85OTAxEhASJCAEEhACBCAkEwkBJwcnA6ABEwFEAROgoP7t%2Frz%2B7WsBFAGbr%2BxmAbYBRAEToKD%2B7f68%2Fu2goAGE%2FusBm67sZgAAAAADAAMAAwStBK0ACwA4ADwAbACwCi%2BwOc2wPC%2BwJ82wIS%2BwG82wNC%2BwBM0BsD0vsBLWsB7NsB4QsS4BK7AHzbE%2BASuxHhIRErEhNDk5sC4RtAkEKDo7JBc5ALEnPBESsQcAOTmwIRGwKjmwGxKyDA8uOTk5sDQRsQYBOTkwMRIQEiQgBBIQAgQgJBMzMhYyNjQ%2BBToBMzIWFRQGBw4EFzM%2BBDU0LgMjIg4CEzM1IwOgARMBRAEToKD%2B7f68%2Fu3JjwQPBwYCBQIJBA4EEwMTFggXBQ8nHRgByAUSLSIcIzFEMRsyUUUmiMjIAbYBRAEToKD%2B7f68%2Fu2goAIZAgYMCgcFAwIBFBAWDBABBBcfPSYDCikyWDIzTCgYBhg1YP4uZAADAAMAAwStBK0ACwAVABkAOwCwCi%2BwDM2wFS%2BwDjOwEs2wES%2BwFs2wGS%2BwBM0BsBovsRsBKwCxEhURErEHADk5sRYRERKxBgE5OTAxEhASJCAEEhACBCAkNyE1IxEhFTMVIxMzNSMDoAETAUQBE6Cg%2Fu3%2BvP7t7QGQZP7UZGRkyMgBtgFEAROgoP7t%2Frz%2B7aCgiWQBLGTIAZBkAAACAAAAAASwBLAAGAAvAGkAshQAACuwEi%2BwH82wHDKwAC%2ByDhkhMzMzsAHNsgwjLTIyMgGwMC%2BwFNayBRwpMjIysBPNsgceJzIyMrExASuxExQRErMiIy4vJBc5ALESFBESsBU5sQAfERKwHTmwARGyHigpOTk5MDERNTM%2BATc1MxUeAhczFSMOAQcVIzUuASczHgEXNTMVNjcjNTMuAScVIzUOAQczFcMfh4vINnZrEsvLGbdZyIyIHmAYb0vIlTTJyBllSshLbhjRAfTIfZUayMgUUINFyGaoIcXFG5d9SW0Yzs4wnshKahjMyxdsSMgAAAAAAwAEAAQErASsAAsAEwAfAEYAsAovsA%2FNsBMvsATNAbAgL7AB1rANzbANELERASuwB82xIQErsRENERK1BAkKAxQaJBc5ALETDxEStQEGBwAXHSQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiADNyc3FzcXBxcHJwcEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqpJh4dth4dth4dth4cBtgFEARKgoP7u%2Frz%2B7qCgAl%2F%2BqvPzAVbz%2FduHh22Hh22Hh22HhwAAAAMABAAEBKwErAALABMAGQBGALAKL7APzbATL7AEzQGwGi%2BwAdawDc2wDRCxEQErsAfNsRsBK7ERDREStQQJCgMUGCQXOQCxEw8RErUBBgcAFxkkFzkwMRIQEiQgBBIQAgQgJBIQFiA2ECYgAzcXNxcBBKABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qa41XzI7%2BpgG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BI41XzY7%2BpwAAAAMABAAEBKwErAALABMAGwBGALAKL7AWzbARL7AEzQGwHC%2BwAdawDM2wDBCxGQErsAfNsR0BK7EZDBEStQQJCgMPFCQXOQCxERYRErUBBgcADhskFzkwMRIQEiQgBBIQAgQgJBMUFwEmIyIGExYzMjY1NCcEoAESAUQBEqCg%2Fu7%2BvP7uFj4COGR0q%2FPNYXCr8zsBtgFEARKgoP7u%2Frz%2B7qCgAbRzZAI3PvP98jvzq3BhAAAAAAEAAABjBLAD6AAGABoAsAUvsALNAbAHL7EIASsAsQIFERKwADkwMREBESERIRECWAJY%2FagCIwHF%2FtT%2B1P7TAAABAAAAYwSwA%2BgABgAaALAAL7ABzQGwBy%2BxCAErALEBABESsAQ5MDEZASERCQERAlgCWP2oAZABLAEs%2Fjv%2BQAEtAAAAAAEAzAAABEoEsAAGAB8AsgUAACsBsAcvsAXWsATNsQgBK7EEBRESsAE5ADAxEwkBIREhEcwBwgG8%2Ftb%2B1AJYAlj9qP2oAlgAAAEAaAAAA%2BYEsAAGAB8AsgYAACsBsAcvsAHWsATNsQgBK7EEARESsAY5ADAxEyERIREhAWgBKAEsASr%2BPwJYAlj9qP2oAAAAAAEAAADHBLAETAANAAA1PgM3EQkBEQ4DBkaJ55wCWP2oX7CkgsiE1a1nCAEP%2Fjv%2BQAEtAiREdQAAAgAAAAAEsASwAAYADQARALIAAAArAbAOL7EPASsAMDExERcBFwEXExcBFxEhF4EBJo7%2B2oHrjgEmgf5wgQGQgQEmjv7agQMJjgEmgQGQgQACACIAIwSOBI4ABgANAAA3ASchEScJAREXARcBFyIBJ4EBkIH%2B2QGogQEnjv7ZgbABJ4H%2BcIL%2B2QI1AZCBASeN%2FtmCAAMAFwAXBJkEmQAPAB8AIwBPALANL7AgzbAjL7AUzbAdL7AFzQGwJC%2BwAdawEM2wEBCxGQErsAnNsSUBK7EZEBEStQUMDQQhIyQXOQCxFCMRErEJADk5sB0RsQgBOTkwMRI0PgIyHgIUDgIiLgEBEx4BOwEyNjcTNiYrASIGEzM1Ixdbm9Xs1ZtbW5vV7NWbAVY6BCMUNhQjBDoEGBTPFRgwyMgB4uzVm1tbm9Xs1ZtbW5sCRv7SFB0dFAEuFB0d%2FcVkAAAFAAAAAASwBLAAJgAqADAANAA7ADQAsicAACuwMTOwKs2wMjIBsDwvsDHWsAUysDTNsAcysT0BK7E0MREStAsMEzU6JBc5ADAxETMVIREzESE1MzUjNjQmLwEuASMiDwEGByYvASYjIgYPAQ4BFBUjEyERIRMiNj8BFxMRIREBNx4DI2QBkMgBkGRvAQMCIgs9JyAd7xYSExXuIR0nPQojAgJvZAGQ%2FnBkAyITEtXbAZD%2Bj8oFDiASAgMgyAEs%2FtTIZAELEwisJzARkA0WGAyQEi4msQgUCgH8fAGQAfRgMC%2B%2F%2FHwBkP5wA4TFDClXOQACAAD%2F6gSvBLAAGwAyABcAsgAAACsBsDMvsCfWsA%2FNsTQBKwAwMRU1Ny4CPgE3PgU3FAIOBC4CIwc2Fjc2JT4DNz4BJyYiBgcOAQ8BBAfYCQgDFTguL2llmonoaCxKaHGDeHtcUw9jEidDNwE4RmFrWykWBAgHFCERI509Pf6PWRaPwTU8gGKCOzxVMy0eOR69%2FszQm1UzCQYTDzd%2FDVNCqCY%2FX4BUMhQJBR0ZM3MgIMXMAAABAG8ADAREBOcASAAjAAGwSS%2BwAdawRc2wRRCxPAErsUoBK7E8RRESsTo2OTkAMDESFBceARcWPgM3PgEnHgEHDgEHDgQeAT4BNz4ENzYCJxYXFicmJy4CNw4EFx4DDgQHBi4CNw4BbwUJRkYfQjo4KA8gDhRPVhEFHxYKCQ8DAwgOGSQYOURrQ0APJqWkFhUnRw8ST1MFMw0qZ0ouDwIMBAgBAQsQGhImOhcHDjQ%2FAblCHjh%2FLRUKJT49HkLtJ1CoZCFJLBMUIA8XCAsBBAYUHD1DbkOsAVNtLFWfBQIHIYbZlQgfZm2nUww7GzQbKBcZEAQKLk1WIC5uAAAD%2F8MAfQTtBDMAIQA%2FAEcAQwCwGi%2BwKc2wOi%2BwCc0BsEgvsDzWsDfNsUkBK7E3PBESQAoJGRoIKSg1PkBDJBc5ALEJOhEStwARJC41PkJHJBc5MDEDNz4GMh4FHwEHDgYiLgUnNx4FMj4ENy4EJxYVFAYiJjU0NwYXFhc3LgEvAT0aBhxGT3N2k5CTdnNPRhwGGhoGHEZPc3aTkJN2c09GHAabB0MtW1R6gHdSWSxICwE3HTo5HjGw%2BLAuZoUxaWklTBMUAlgoCihXVGBHLy9HYFRXKAooKAooV1RgRy8vR2BUVygKKApgPV44KygzXDtoDgFJJUU6GUpZfLCwfFVJV3N8Q2kYYCQkAAAABP%2FDAAAE7QSwABYAIAApAEEAoQCyDwAAK7AOMwGwQi%2BxQwErsDYauj3v790AFSsKsA8uDrAMwAWxDgH5DrANwLAPELMLDwwTK7MQDwwTK7MZDwwTK7MaDwwTK7MkDwwTK7MlDwwTK7IQDwwgiiCKIwYOERI5sBk5sBo5sCQ5sCU5sAs5ALcLDA0QGRokJS4uLi4uLi4uAUAKCwwNDg8QGRokJS4uLi4uLi4uLi6wQBoBADAxAzc%2BBjMyFzczASM3LgQnNxIXNy4BNTQ3BhcWFz8BLgEvAQE3PgY3Jic3HgIfAQcOBD0aBhxGT3N2k0g9PCWU%2FsaUJVKmcmknCpvStyVrjy5mhTFpLxceOg8OASgmFi0vIjATLwFhKydDgS4NGhoHJVplkwJYKAooV1RgRy8RjvtQjxVlZ3k4Dyj%2B5jaNEqduVUlXc3xDL1ccUhsa%2FaeRDyYyJj8YQAJ%2FMJI2j0AUKCgMNGtiZgAAAAP%2FngAABRIErAALABIAFwAAJhYzITI2JwEuAQcBNwkBITUjFREbATUjbxslBQ4lGxX9fhQ4FP1%2B9QG9Ab3%2Bp8hkZMhEREcgBCAiBSD71mQC0%2F0tZGQBkP7UASxkAAAAAAEAZAAVBLAEsAApAEgAsB4vsAnNAbAqL7Al1rAFMrAWzbALMrIWJQors0AWGAkrsiUWCiuzQCUjCSuxKwErsRYlERKxHR45OQCxCR4RErEWJTk5MDETNTQ2NwERNDYyFhURAR4BHQEUBiclERYdARQGLwEjBwYmPQE0NxEFBiZkFg8Ba1h8WAFrDxYYEf6ZZBoTXt5eExpk%2FpkRGAEGKRQxDgFFAVM%2BWFg%2B%2Fq3%2Buw4xFCkUDQz5%2FvlbFkAUEQlOTgkRFEAWWwEH%2BQwNABEAAAAABEwEsAAJABsAHwAjACcAKwAvADMANwA7AD8AQwBHAEsATwBTAFcAADUUFjMhMjY1ESE1ITU0JisBNSMVITUjFSMiBhUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUTNTMVJzUzFSc1MxUdFQPoFR37tARMHRWWZP4MZJYVHWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZDIUHh4UAu5klhUdZGRkZB0V%2FEpkZMhkZMhkZP5wZGTIZGTIZGT%2BcGRkyGRkyGRk%2FnBkZMhkZMhkZP5wZGTIZGTIZGQAAAMAAAADBXgErgAKABAAGQBBALAAL7AYM7ABzbATMrALL7AIM7AQzbADMgGwGi%2BxGwErALEBABESsREWOTmwCxGzBw0SFSQXObAQErEGDjk5MDE9ASEBMzUJATUjCQEhFzcnIQE3FzM1CQE1IwEDAljxASz%2B1J%2F9qP6rAQN6jbX%2BqwKmjXqfASz%2B1PHIyAJYxv7Z%2FtTF%2FagCWHqOtP2VjnvG%2Ftn%2B1MUAAAEAAAAABLAETAASABoAsg4AACuwEC%2BwDDOwBM0BsBMvsRQBKwAwMRkBNDYzITIWFREUBiMhAREjIiY7KQPoKTs7Kf2s%2FtBkKTsBkAJYKTs7Kf2oKTv%2B1AEsOwAAAwBkAAAETASwACUAKQAtAGAAsh8AACuwCc2yCR8KK7NACQEJK7AVMrAmL7AqM7AnzbArMgGwLi%2BwANawJjKwA82wKDKwAxCxEgErsCoysBfNsCwysS8BK7EDABESsCQ5sBIRsR4fOTmwFxKwGTkAMDETNSEVFBcWFxYzMj4GJzQ9ASEVFA4FIi4FGQEhESERIRFkASwGEVUnNSU7KR8RCwMCAQEsBhgnTWWdwJ1lTScYBgEsAZABLAJYyPpxIFwZCwsUHCMoLC4YEQj6yCpSfmpxUDMzUHFqflIBVgEs%2FtQBLP7UAAAAAAH%2F4gC4BGgD3gAFAAADFwkBNwEe4wFgAWHi%2Fb4Bm%2BMBYf6f4wJDAAABAEYA2gTMBAAABQAAEwkBJwkBRgJEAkLi%2Fp%2F%2BoAMd%2Fb0CQ%2BP%2BnwFhAAAAAAL%2FOgBkBXYD6AAIABEAKACwBy%2BwBM0BsBIvsAfWsATNsRMBK7EEBxESsAE5ALEEBxESsA45MDEDCQEjESEXIREBFyERIwkBIxHGASsBLMsBgdf84AGU1wF9xgErASvIArwBG%2F7l%2FnDIAlgBLMj%2BcP7lARsCWAAAAAEAEgAABKoEsAAyAEYAsiIAACuwGTOwLM2wLBCwJs2xFR0yMrAvL7AEzbAQL7AJzQGwMy%2BwJNawH82wHxCxHAErsBfNsTQBK7EXHBESsC05ADAxEyY3NjMhNz4BOwEyFhQGKwEDDgIrARUUBiImPQEhFRQGIiY9ASMiJjU0NjMhNyEiJicSBQ8OGQOAJgUbEV4UHh4UNskCCB4SHx0qHf7UHSodMhUdHRUCFzD9hyAtBQOrGBITohEVHSod%2FD8EDRYyFB4eFDIyFB4eFDIeFBUdyCoWAAAAAAIAAAAABLAETAADAA8AIACyAAAAK7ABzbAEL7AFzbANMrAJzQGwEC%2BxEQErADAxMREhEQE1MzQ2MyEyFhUhFQSw%2B1DIOykBLCk7AfQDIPzgA4RkKTs7KWQAAAAAAgABAAAF3QRMAAMAEAAoALIAAAArsAHNsA8vsA3NsAUysAnNAbARL7ESASsAsQEAERKwBDkwMTMBIQkBETM0NjMhMhYVIRUhAQEsBLD%2B1PtQyDspASwpOwH0%2FBgCvP1EAZACWCk7OynIAAAAAQEuAAADggSwAAkAIQCyCQAAKwGwCi%2BwAdawB82xCwErsQcBERKxBAk5OQAwMQEzESMJASMRMwEBLsbGASoBKsbG%2FtYBLAJYASz%2B1P2o%2FtQAAAAAAQAAAS8EsAOCAAkAHACwCC%2BwAs0BsAovsQsBKwCxAggRErEABTk5MDERARUhNQkBNSEVASwCWAEs%2FtT9qAJYASrGxv7W%2FtfFxQAAAAQAAAAABLAEsAAPABkAHQAhAEkAsgwAACuwGs2wHjKwHS%2BwIDOwBc2wEC%2BwFM0BsCIvsBvWsB7NsB4QsR8BK7AJzbIfCQors0AfAAkrsSMBK7EJHxESsBk5ADAxPQE0NjMhMhYdARQGIyEiJhsBPgEzITIWFxMBMzUjFzM1IzspA%2BgpOzsp%2FBgpOx%2BsBSQUAqATJQWs%2Fo9kZMhkZGRkKTs7KWQpOzsBVQLjFictF%2F0k%2FtRkZGQAAAAD%2F5sAZASwBEwACwApADcAJgABsDgvsADWsAbNsAYQsSoBK7AyzbE5ASuxKgYRErEMGjk5ADAxAzU0Nj8BFS4EFzU8Az4FOwElESUjExYOASMiKwEiJicCARE0NjMyFhURFAYjIiZlMhkZBA4iGhbJAQICBAUHBMgCo%2F1dJi8CCgwPBQNTFB0ENwPoHRUUHh4UFR0CWDIYMg0N%2BgIHFRYhVfoCDAQKBAcDBQIB%2BvyuyP7sDAsBHBUBUf7iA1IVHR0V%2FK4UHh4AAAIASgAABGYEsAArADMANQCyLwAAK7AzzbApL7AfM7ADzbAYMrIpAwors0ApJQkrAbA0L7E1ASsAsSkzERKxLDE5OTAxEzQ2OwE3Ez4BNycmNjsBMhYHBhUeARcTFzMyFhUUBgcOBCMiJi8BLgEFHgEyNjcGIkobFBJ1Pw96UxIGEhReFBIGElN6Dz92ERQbGhIIHmRqn0998To6EhoBpww4RjgLMGwBXhUdrQFHTX4UIBMaFRMkARN%2FTf65rR0VFCgHAwsdFRIpFBQHKdwxPT0xBgAAAQAVABUEnAScABcAABMXBzcXNxc3Fyc3JzcnNwcnBycHJxcHFxXpTuAtm5st4E7qtLTqTuAtm5st4E7pswG9LeBO6bOz6U7gLZucLOFO6bS06U7hLJwAAAMAAABkBLAEsAADACIALgAaAAGwLy%2BwKNawFs2xMAErsRYoERKwFDkAMDE1MxEjARQ7ARY7ATI3EzY9ATQmIyE2PQE0JisBIgYPAgYVExE%2FATMVByEVAyMnyMgBLGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiMgCWP3zS2Q5AVgfK2QsUXYHlixRKBzGxBol%2FokBd9XUr%2BF9%2FolkAAAAAAMAAAAABLAETAADACIALgBwALIcAAArsCXNsBUvsAAzsCjNsC4vsAfNsAEysCwvsArNAbAvL7AA1rADzbADELEEASuwI82wIxCxJgErsBjNsBgQsSkBK7ARzbEwASuxJiMRErIIKCw5OTmwGBGwFTmwKRKwKzkAsS4cERKwKjkwMRkBMxE3ETQ7ATY7ATIXExYdARQGIyEWHQEUBisBIiYvAiY3HwEzNSchNQMjByPIZGQ9fA%2F6LiXuHT0n%2FrgcPScyGzAOYJEUZJZkMjIBwvrWiGQBkAJY%2Fah9AZBLZDn%2BqB8rZCxRdgeWLFEoHMbEGiXU1a%2FhfQF3ZAAAAAMACABkBRUEVQADACIAQQB5ALAgL7AkzbAbL7ApzbAxL7AUzbABMrIxFAors0AxAAkrAbBCL7AA1rADzbADELEEASuwI82wIxCxLQErsBjNsi0YCiuzQC08CSuxQwErsS0jERK0DBEbFD8kFzkAsRskERKwIzmwKRGwGDmxFDERErIXPEE5OTkwMTcRMxE3ETQ2PwElNjMyHwEWFRQPASEyFhQGKwEDDgEjISImNxchEz4BOwEyNjU0JiMhKgIuBCcmNTQ%2FAScFCMhkHA4OAWoOCxEMbQ4LVQEuVWttVGuCBxsP%2FqsHpmRkASWDBhsPyxASEhD%2BNwELBAkDBwQEAgUKk1b%2BrcgCWP2oSwINESUKCeYGDHAOFBIOeUyQTv6tFieiG1kBUxUoHhUUHQEBAgMFAwwIDg23U%2BwAAAAD%2F5sAZQSwBFYAHgA4ADwAeQCwGC%2BwJM2wHS%2BwH82wOC%2BwA82wOjKyOAMKK7NAODkJKwGwPS%2BwAdawH82yHwEKK7NAHywJK7AfELEmASuwFM2wFBCxOQErsDzNsT4BK7EmHxEStAcMHAQpJBc5ALEdJBESsCY5sB8RsAA5sQM4ERKyAScsOTk5MDECNDYzBScmNTQ%2FATYzMhcFHgIVERQGIyEiJicDIyInMzIWFxMhNxElBxcWFRQHDgUqASMhAREzEWVsVQEuVQsObQ0QCw4BbQcUIawI%2FqsQGwaCa1QK3g8bBoMBJWv%2BqVeRCgUBBQMHBAkECwH%2BJAPpyAJDkEwBeRAQFQ1xDAbmBA0nEf3yDaEoFQFTZCkU%2Fq1ZAfbtU7gLDwsJAwUDAgEB%2FgwCWP2oAAAAAAMAYQAABEwFDgAbADYAOgBHALI3AAArsDjNAbA7L7AV1rA3MrApzbIpFQors0ApOgkrsDMysCkQsS8BK7AOzbE8ASuxKRURErESNjk5sQ4vERKwETkAMDEbAR4CMyEyNjURNCYnJTU0JiIGFREnJgYPAQYXNxcWNz4FPAE1ETQ2Fh0BFBYXBREHIQM1IRVh5gQNJxECDQ2iKBX%2BrU6QTHkPJQ5wFltTtxYZAwUDAgEBMjIoFQFTWf4JCAJYAs%2F%2BlQYTH6YHAVYPGwaDalRua1X%2B0lQMAQ1uFgtWkhINAQUDBwQJBAsBAcgWEhMVyhAbBoL%2B2mT%2BcMjIAAAAAAMAAgAKA%2B0FGAAdADQAOABFALA1L7A2zQGwOS%2BwCtawNTKwK82yKwoKK7NAKzgJK7AhMrArELEnASuwD82xOgErsSsKERKxDB85ObEPJxESsA05ADAxEwYfAR4BPwEUBhUUFjI2PQElPgE1ETQmIyEiBg8BAxMhFxEFDgEdARQGJjURPAEuAScmDwETNSEVAhAWcA0mD3kBTZBOAVMUKaIN%2FfMRJQoKmuwB91n%2BrBQoMjIDBwYYFriSAlgCSR8Wbg0BC1UzzS5UbG5UaoMGGw8BVgemHA4P%2FoIBU2T%2B2oIGHA%2FKFhISFgHICwcQCAMNEpICccjIAAAAAgAFAAAEsASrAA4AFQA6ALIMAAArsBDNsA8vsAXNAbAWL7AA1rAQzbEXASsAsRAMERKxCRI5ObAPEbEAEzk5sAUSsQgUOTkwMRM0PgIzMgQSEAIEICQCARchBwkBFQVfoN16ogEToKD%2B7f68%2FuygASUCASwCAZL%2BbgJVet2gX6D%2B7P68%2Fu2goAETAQrJwgEmASrFAAIAAAAABKsEqwAQABcAOACyDgAAK7AUzbAWL7AFzQGwGC%2BwFNawCs2xGQErALEUDhESsBI5sBYRsgoAETk5ObAFErAXOTAxETQ%2BAjMyHgIVFAIEICQCNwEnITchNV%2Bg3Xl63aBfoP7s%2Frz%2B7aDIAZICASwC%2FtQCVXrdoF9foN16ov7toKABE6X%2B2sLJxQAAAAIABQAABLAEqwAOABUAPgCyDAAAK7ARzQGwFi%2BwANawEc2wERCxEgErsAnNsRcBK7ERABESsQwPOTmwEhGxBRU5ObAJErELFDk5ADAxEzQ%2BAjMyBBIQAgQgJAIlMxEzETMBBV%2Bg3XqiAROgoP7t%2Frz%2B7KABJ8jIyP7UAlV63aBfoP7s%2Frz%2B7aCgAROl%2FtQBLAGQAAACAAUAAASwBKsADgAVAE0AsgwAACuwFC%2BwBc0BsBYvsADWsBXNsBUQsRIBK7AJzbEXASuxFQARErEMDzk5sBIRsQUQOTmwCRKxCxE5OQCxFAwRErIIABA5OTkwMRM0PgIzMgQSEAIEICQCJQkBIxEjEQVfoN16ogEToKD%2B7f68%2FuygAScBLAEsyMgCVXrdoF%2Bg%2Fuz%2BvP7toKABE6X%2BcAGQASz%2B1AAAAAAEAAUAAASwBKsAEACIAJgAmgB8ALIOAAArsCrNsE8vsIwvAbCbL7AA1rAUzbAUELFYASuwCs2xnAErsRQAERKwEjmwWBFADg4FEyEjJDxKVXiEhYmUJBc5sAoSQAoNIiYwO1pndpmaJBc5ALFPKhEStxYwNjxGSFVXJBc5sIwRQAkKABRYbIWNjpQkFzkwMRM0PgIzMh4CFRQCBCAkAhMGFgcUFgcyHgEXFhceAjcWBhcWFxQOARcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQcGJyY3NjceAhceAR8BNDYnJjY3PgM3JjcyFjI2Ny4DJzYnHgE%2FATYuAScGJw4DBwYmBw4BBwYWBw4BJT4BNxYyPgE3FBYVLgM3MwVfoN16ed2gX6D%2B7f68%2Fuyg%2BQgbBiIBDBYYCBhUFj45HQguAyotBgEFaHUeIiMDDi4NDkYRCT0gLhAyEAQBBikEAggZGhcTEwsGEAYoGwYMKA4OEwQEJQQFCgcYFgYQCB8SFwkKKSM%2FDAsJHzYMCwcvUg8TEg8rGj4IDz0PFT4DAxMBAzEBAwMaAwoRCxIHIgksHCSiAQJVet2gX1%2Bg3Xqi%2Fu2goAETAVkhdxwJRhkLEwQMHggvHgQSShRHCQYTCgwDcx0kPh8JAQcHEAsBAgsLIxcCLwINCAMWJhIdGR0cHhAGAQEHChMlCQgDSRUXKwoOKhQZCRITAwkLFycVIAcnBQ0DBQQkIxYMAwMMEgYKAQMHBgcnDwsXByJxcQwkBwoMEQQYVQECBgQMXwAAAAABAAAAAgSvBIUAFAAAPAE3ASY2NzYXBRc3FgcGJwEGIi8BDwJYIU5gpI7%2B%2FZH7DaR7gv2sDysPb48rEAJXZck2XGWK6H6vXEYv%2FawQEG4AAAYAAABgBLAErAAPAB8ALwAzADcAOwBQALAML7A0zbA3L7AFzbAcL7AwzbAzL7AVzbAsL7A4zbA7L7AlzQGwPC%2BwNdaxMTkyMrAJzbEYKDIysjUJCiuzQDUACSuxECAyMrE9ASsAMDE9ATQ2MyEyFh0BFAYjISImETU0NjMhMhYdARQGIyEiJhE1NDYzITIWHQEUBiMhIiYBITUhEyE1IRMzNSM7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTs7KQPoKTs7KfwYKTsCWAH0%2FgzIASz%2B1GTIyMRkKTs7KWQpOzsBuWQpOzspZCk7OwG5ZCk7OylkKTs7%2Fplk%2FgxkArxkAAACAGQAAARMBLAAAwAJACUAsggAACuwAC%2BwAc0BsAovsAjWsAfNsQsBKwCxAAgRErAEOTAxEzUhFQUhAREHEWQD6PxKA4T%2BosgETGRkZP4M%2FtTIAfQAAAAAAwAAAGQEsASwAAkAIQAlAGAAsAcvsAHNsAovsB0zsA7NsRgiMjKwJS%2BwE80BsCYvsA%2FWsCLNsCAysg8iCiuzQA8LCSuwADKwIhCxIwErsB4ysBjNshgjCiuzQBgcCSuwAjKxJwErALEOChESsB85MDE9ASEVFAYjISImGQE0NjMhNTQ2OwEyFh0BITIWFREhNSMVETM1IwSwOyn8GCk7OykBLDspyCk7ASwpO%2F4MyMjIyMjIKTs7AVUBkCk7ZCk7OylkOyn%2BcGRkAfRkAAAAAAQAAAAABLAEsAAGAA0AFAAbABQAsgAAACuwEjMBsBwvsR0BKwAwMTERFzcXBxcBNxc3JzchATcXNxEhNwM3JyERJweByI7Igf5wgciOyIH%2BcALZjsiB%2FnCByMiBAZCByAGQgciOyIEDIIHIjsiB%2FJmOyIH%2BcIEC5siB%2FnCByAAABgAAAAAEqASoAAsAFQAfACkAQgBMANIAsgoAACuwD82wHi%2BwSjOwGc2wRTKwKC%2BwOTOwI82wNDKyKCMKK7NAKEEJK7AUL7AEzQGwTS%2BwAdawDM2wDBCxFwErsBvNsBsQsSELK7AmzbAmELEqASuwPs2wPhCxQwErsEjNszdIQwgrsDHNsDEvsDfNsEgQsREBK7AHzbFOASuxJhsRErMKDhQDJBc5sT4qERKxLTw5ObE3MREStQkPEwQvOyQXOQCxHg8RErMHAAwRJBc5sBkRsyotPD4kFzmwKBKxBgE5ObAjEbEvOzk5MDEYARIkIAQSEAIEICQTFBYgNjU0JiAGFjQ2MhYVFAYjIjY0NjMyFhQGIyIXNDY%2FAiY1NDYzMhYUBiMiJwcWFRQGIiYlNDYyFhQGIyImoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqrzbR8uICAXFk0gFxYgIBYXUikfegEJIBcWICAWDg83ETNIMwEeIC4fIBYXIAGyAUQBEqCg%2Fu7%2BvP7uoKABtKzy8qyr8%2FOHLh8gFhcg5CwhIC4guiAxBX4BDg4WISAuIAqRFh0kMzNSFiAfLiAgAAAAAf%2FYADsEugSwAE8AOgCwBS%2BwJ82wIC%2BwFc2wNi%2BwSs0BsFAvsVEBKwCxJwURErA%2FObAgEbQLDxobMSQXObAVErEyMzk5MDECBhceATMyNz4CNzY3AT4BJyYnJiMiBgcBBxcBNjc2MzIXFgcBBiMiJicmPgI3NjcBPgIzMhceAQcGDwEDHwEBPgEnLgEnJiMiBwYHARsaMCN2Rj84IUApJygRAYojGA8bWhQJLkEj%2FnsHRQF5FBMXGyYPECT93TRJN1oJBQ8wJCYYFAFcND1rNhkXX3YIB1v8%2FQdFAgVDOBEQZk9FU2taKEf%2BAAHWvk45QBwQMSorLBEBiiNiL1cRAiEj%2FnQHQwF1FhAXJCck%2Fd00Qj8jPkAkJBUUAVw0NzUEEZtiZVv5%2FwAHPAH%2FQ7RdV4YkITcYR%2F4AAAAAAAIAUAA2BMMEWAAbADUAPQCwMy%2BwLTOwA82wBzIBsDYvsADWsBzNsBwQsSoBK7AKzbE3ASuxKhwRErMDBw8YJBc5ALEDMxESsAU5MDETNDYzMhc2MzIWFRQOAgcGDwEnLgInLgM3FB4BHwEWFzY%2FAT4CNTQmIyIPAScmIyIGUMWEj2Jnj4HCI1dDR8VgERArckZCR0NXI6o9PkAWXWFScQxAQz5gOUo6dnIzSDxjAxCDxYGBxYMuWmxHRr%2BDFxc6gUZBRkdsWi4bVkE%2BFlpvXG8MPkZYHEdhU6uuUGMAAAAAAgA5%2F%2FIEdwS%2BABgAMwAAExQfARYzMjcBNjQvASYnBxcBJzcnJicHBhMUHwEWFzcnARcHFxYXNz4BNTQvASYjIgcBBjlCjURbXUIBG0JCjQgLadT%2Be%2FdfEi4dN0LUQo0HDGnUAYX3XxIvHh0jN0KNQl1fQP7lQgFhX0COQkIBG0K6Qo0JCGnU%2Fnv4XxItODdCAQRdQo0HCmnUAYX3YBExMx0jaitdQo1CQv7lQAAAAAADAMgAAAPoBLAAEQAVAB0ARQCyDwAAK7AZzbAdL7ASzbAVL7AGzQGwHi%2BwANawEs2wEhCxEwErsAvNsAsQsBvNsBsvsR8BK7EbEhESsgYFFjk5OQAwMTcRND4CMh4CFREUBiMhIiY3IREhEhQWMjY0JiLIPGacqppkOjsp%2FagpO2QCWP2oxD1WPT1WZAO5FTIuHh4uMhX8Ryk7O%2FECvPzZVj09Vj0AAAABAAAAAASwBLAAGAARALIAAAArAbAZL7EaASsAMDExATcnIQEnJjQ3NjIXARYUBwYiLwEBEScHAS%2FP0gEsAQsjDw8OKg4BGw8PDioOJP7p1NABfNDUARckDioODw%2F%2B5g8qDg8PI%2F71%2FtTSzwADAScAEgQJBOEAMQA9AEMAlwCwLS%2BwKjOwBM2wPjKyLQQKK7NALSwJK7A7L7AfM7ASzbISOwors0ASEwkrAbBEL7AO1rAAMrAyzbABzbAyELEsASuyBBI6MjIysCvNshQfPjIyMrArELFAASuwJ82wHCDWEbAbzbFFASuxMgERErACObAsEbAJOQCxBC0RErApObA7EbYADhsnOkBDJBc5sBISsBU5MDEBMx4BFxEuASMuBDU0PgE3NTMVHgQXIy4BJxEXHgQVFAYHFSM1JicuARMUHgMXFhcRDgETNjU0JicBJ4sFV0oGEwIuQk4vIViCT2QmRVI8KwOfCDZKQCI8UDcosptkmFUoGagQESoUHAcEPUnqqlhSAbFNYw8BTwEGDhkvOVg3XIdDB05PBBMsP2lCSEsN%2Fs0OBxMsPGU%2Bi6oLTU4RVyhrAh4dLBgVBgcCAQESCDv9KxKFQEcZAAAAAQBkAGYDlAStAEMAjQCwMS%2BwKs2wAC%2BwHjOwAc2wHDKwEy%2BwC82yEwsKK7NAEw4JKwGwRC%2BwB9awOTKwGM2wJDKyGAcKK7NAGB4JK7IHGAors0AHAAkrsBgQsQ8BK7AOzbFFASuxGAcRErMCOEJDJBc5sA8RtQsfICoxMyQXObAOErAsOQCxKjERErEtOTk5sAARsSw8OTkwMRM1MyYnLgE%2BATc2MzIWFSM0LgEjIgYHBhUUHgEXMxUjFgYHBgc%2BATM2FjMyNxcOAiMiJgcOAQ8BJz4FNz4BJ2SmGBQKCQMvLWGmgcqZRFAkJVQUKSEXHvHFCBUVKTojYhUhjCFMPDIpTycqF9IyJ1YXGDcGFQoRDBEJMAwkAlhkMTcaO1ZeKFiydzRLHB0VLDkcUyozZDKCHTs2Cw4BIh6TGRcDQgQEGgwLkQQOBg0LEQo3j0cAAgACAAAErgSwAAYADQAfALIMAAArAbAOL7AM1rALzbEPASuxCwwRErAIOQAwMRMJASMRIxEJAiMRIxECASoBKsbIAZIBKgEqxsgBLP7UASwDhPx8AlgBLP7U%2FHwDhAAABQACAAAD6ASwAAYADAAWAB4AIgCmALIHAAArsAYzsArNsgcAACuwCM2wEy%2BwFM2xAAQyMrANL7AOzbAdL7AfzbIdHwors0AdFwkrsBoysCIvsBjNsAIyAbAjL7AB1rAEzbAEELEIASuxDRcyMrAKzbEdHzIysAoQsRUBK7EbIDIysBDNsQsZMjKzEhAVCCuwE82wEy%2BwEs2xJAErsQQBERKwBjmwCBGwBTkAsRQIERKwEDmwDRGwETkwMRMzETMRMwEhNTMVMxUBNSEVIxUjNTM1AxEhESM1IxU3MzUjAsbIxv7WAZBkyP7UASxjZGPIASxkZAFkZAEsA4T8fP7UyGRkAZBkyGRkZAEsAfT%2BDGRkyMgABQACAAAD6ASwAAYADgAUAB4AIgCgALIGAAArsQcKMzOwDS%2BwH82wIi%2BwCM2wDy%2BwEs2wEM2wGy%2BwHM2wFS%2BwFs2wAjIBsCMvsAHWsATNsAQQsQcBK7EPFTIysA7NsREfMjKwDhCxCwErsR0gMjKwCs2xExcyMrMaCgsIK7AbzbAbL7AazbEkASuxBAERErAGObAHEbAFOQCxIh8RErMBBAUAJBc5sRwQERKwGDmwFRGwGTkwMRMzETMRMwEhESERIzUjFQM1MxUzFQE1IRUjFSM1MzUDMzUjAsbIxv7WAZABLGRkZGTI%2FtQBLGNkY2NkZAEsA4T8fP7UAfT%2BDGRkArzIZGQBkGTIZGRk%2FHzIAAAEAAIAAARMBLAABgAMABIAFgBrALILAAArsAwvsBPNsBYvsAjNsA0vsA7Nsg0OCiuzQA0RCSsBsBcvsBHWsBDNsxMQEQgrsAfNsAcvsA0zsBPNsBAQsRQLK7ALMrAKzbEYASsAsQgLERK0AAIDBgEkFzmxDg0RErEFBDk5MDETCQEjESMRBREhESM1AzUzESMREzM1IwIBKgEqxsgCWAEsZMjIZAFkZAEs%2FtQBLAOE%2FHzIAZD%2BDGQD6GT%2BDAGQ%2FHzIAAAABAACAAAETASwAAYADAASABYAawCyCwAAK7AHL7AIzbASL7ATzbISEwors0ASEAkrsBYvsA7NAbAXL7AL1rAKzbMTCgsIK7ANzbANL7AHM7ATzbAKELEUCyuwETKwEM2xGAErALETCxEStAACAwYBJBc5sQ4WERKxBQQ5OTAxEwkBIxEjESU1MxEjEQMRIREjNSczNSMCASoBKsbIAljIZGQBLGRjZGQBLP7UASwDhPx8ZGT%2BDAGQAZABkP4MZGTIAAAAAAUAAgAABLAEsAAGAAoADgASABYAUgCwBy%2BwCM2wCy%2BwDM2wDy%2BwEM2wEy%2BwFM0BsBcvsA%2FWsgcLEzIyMrASzbAWzbIWDwors0AWCgkrs0AWDgkrsRgBKwCxCwgRErMCAwYAJBc5MDETCQEjESMRBTUhFQE1IRUBNSEVATUzFQIBKgEqxsgB9AH0%2FgwBkP5wASz%2B1MgBLP7UASwDhPx8yMjIASzIyAEsyMgBLMjIAAAABQACAAAEsASwAAYACgAOABIAFgBSALAHL7AIzbALL7AMzbAPL7AQzbATL7AUzQGwFy%2BwC9ayBw8TMjIysA7NsArNsgoLCiuzQAoSCSuzQAoWCSuxGAErALELCBESswIDBgAkFzkwMRMJASMRIxEFNTMVAzUhFQE1IRUBNSEVAgEqASrGyAH0yMgBLP7UAZD%2BcAH0ASz%2B1AEsA4T8fMjIyAEsyMgBLMjIASzIyAAAAAACAAAAAARMBEwADwAfACoAsg0AACuwE82wHC%2BwBM0BsCAvsADWsBDNsBAQsRcBK7AJzbEhASsAMDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFeulASyi7u2j%2FtSl68g7KQH0KTs7Kf4MKTsBkAEspevto%2F7UpevrQSk7OykB9Ck7OykAAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMtAe6iASyl6%2Bul%2FtSj7cg7KQH0KTs7Kf4MKTvIAU3%2BswGQASyj7eul%2FtSl6%2BtBKTs7KQH0KTs7Kf4M%2BvoAAAAAAwAAAAAETARMAA8AHwAiAD4Asg0AACuwE82wHC%2BwBM0BsCMvsADWsBDNsBAQsRcBK7AJzbEkASuxFxARErEgIjk5ALEcExESsSAhOTkwMRkBNDYzITIWFREUBiMhIiY3FBYzITI2NRE0JiMhIgYVFxsB66UBLKPt66X%2B1KXryDspAfQpOzsp%2FgwpO2T6%2BgGQASyj7e6i%2FtSl6%2BtBKTs7KQH0KTs7KWT%2BswFNAAMAAAAABEwETAAPAB8AIgA%2BALINAAArsBPNsBwvsATNAbAjL7AA1rAQzbAQELEXASuwCc2xJAErsRcQERKxICE5OQCxHBMRErEgIjk5MDEZATQ2MyEyFhURFAYjISImNxQWMyEyNjURNCYjISIGFRMhA%2BulASyl6%2B2j%2FtSl68g7KQH0KTs7Kf4MKTtkAfT6AZABLKXr66X%2B1KLu7T8pOzspAfQpOzsp%2FnABTQACAAAAAAUUBEwABgAaADwAsgcAACuwCM2wAC%2BwAc2wES%2BwEs0BsBsvsAzWsBfNsRwBKwCxCAcRErAFObEBABESsAQ5sBERsAM5MDEZASE1CQE1EzUhMjY1ETQmIyE1ITIWFREUBiMBLAGQ%2FnDIAfQpOzsp%2FgwBkKXr66UBkAEsyP6i%2FqLI%2FnDIOykB9Ck7yOul%2FtSl6wAAAAEA2QACA9YEngAhACgAsA4vsBPNAbAiL7Ac1rAWzbEjASuxFhwRErAZOQCxEw4RErAPOTAxExYzIQIHBh8BMzI3NgAzNicmIwU2Ejc2LwEjIgcOAQAHBtkIFwEumwUFCQkJDgwLAg8BDgkIF%2F7TAZoCAgcJCQ8KBLz%2B80sQAgcT%2FkoUFQsIDw0CaRMREQEEAa8MDwwJEAbT%2FtFWEwAAAAACAAAAAAUUBEwAGAAfAD8AsgMAACuwCM2wCBCwBs2wGS%2BwGs2wEC%2BwEs2wFM0BsCAvsADWsAvNsSEBKwCxGgMRErEdHjk5sBARsBw5MDERFBYzITI3NSEiJjURNDYzITUuAS8BIgYVAREhNQkBNeulASwvNf4MKTs7KQH0DshdXaXrAlgBLAGQ%2FnABkKXrD7k7KQH0KTu5BAcCAuul%2FtQBLMj%2Bov6iyAACAAAAAASwBLAAHQAkAFQAsgMAACuwD82wFi%2BwGs0BsCUvsADWsBLNsBIQsQsBK7AHzbEmASuxCxIRErUYGR4fICQkFzmwBxGwIzkAsRYPERK1CAkeIiMkJBc5sBoRsB85MDERFBYzITI2PQEnBxUUBiMhIiY1ETQ2OwE3JyMiBhUlASchEScB66UBLKPtTno7Kf4MKTs7KZx2SmSl6wHwAWGVAfSV%2FqoBkKXr66ViSXuUKTs7KQH0KTt6TuulCQFWlf4Mlf6fAAMABAAEBKwErAALABMAGwBaALAKL7APzbAbL7AXzbATL7AEzQGwHC%2BwAdawDc2wDRCxFQErsBnNsBkQsREBK7AHzbEdASuxGRURErcECQoODxITAyQXOQCxFxsRErcBBgcMDRARACQXOTAxEhASJCAEEhACBCAkEhAWIDYQJiACNDYyFhQGIgSgARIBRAESoKD%2B7v68%2Fu4W8wFW8%2FP%2BqhdyoHJyoAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP%2BEqBycqByAAAAAwAAAAAETASwAAkAEAAUAC4AsgkAACuwEc2wFC%2BwBc2wCzIBsBUvsBLWsAjNshIICiuzQBIACSuxFgErADAxMRE0NjMhMhYVEQkCIREhEQEzNSMOCwQYCxD8GAG9AcL%2B2f7UAfRkZAETCw4PCv7tAyD%2BDAH0AZD%2BcP12MgAAAAADAAAAAARMBLAACQAQABQAKwCyCQAAK7ARzbAUL7AFzQGwFS%2BwEtawCM2yEggKK7NAEgAJK7EWASsAMDExETQ2MyEyFhURASERIREhCQEzNSMOCwQYCxD8GAEsASwBJ%2F5DAV5kZAETCw4PCv7tArz%2B1AEsAfT75jIAAAAAAwAAAAAETAR%2FAAkADwATAC4AsgkAACuwEM2wEy%2BwBc0BsBQvsBHWsAwysAjNshEICiuzQBEACSuxFQErADAxMRE0NjMhMhYVEQkCJwEnATM1Iw4LBBgLEPwYATECVJr%2BRpYChWRkARMLDg8K%2Fu0Cwf7PAlSb%2FkaX%2FToyAAQAAAAABEwEsAAJAA0AFAAYACsAsgkAACuwFc2wGC%2BwBc0BsBkvsBbWsAjNshYICiuzQBYACSuxGgErADAxMRE0NjMhMhYVEQEXNycDJRMHJwcXATM1Iw4LBBgLEPwYYdRhcAK5A%2FqV1JUBzmRkARMLDg8K%2Fu0D3GLVYfzgAQK775XUlf4NMgAEAAAAAARMBLAACQANABQAGAAuALIJAAArsBXNsBgvsAXNAbAZL7AW1rATMrAIzbIWCAors0AWAAkrsRoBKwAwMTERNDYzITIWFREBFzcnExcHFzcXCwEzNSMOCwQYCxD8fNRi1QPvldSV%2BQFjZGQBEwsODwr%2B7QJk1GHUAev6ldSU7QK5%2B%2BkyAAAAAAIAF%2F%2F%2FBLAErwAFAAgAFwCyBAAAKwGwCS%2BwBdawBs2xCgErADAxEwERCQERFwkBFwSZ%2FiX%2Byk8CoP1gAZ8DEPvJARD%2BdwGgzQOq%2FTgAAAAAAgAAAGQETASwABUAGQBNALARL7AGzbIRBgors0AREwkrsA4ysgYRCiuzQAYECSuwCDIBsBovsADWsBLNsAbNsBIQsQ8BK7ALzbEbASuxDwYRErIJFhc5OTkAMDE1ETQ2OwERIREzFxEUBisBESERIyImATM1Ix0V%2BgH0ZMgeFJb9RJYVHQJYZGSWA%2BgUHv7UASzI%2FK4VHQGQ%2FnAdA2fIAAMAAAA%2BBRQEsAATABkAHQBAALAPL7AGzbIPBgors0APEQkrsgYPCiuzQAYECSuwCDIBsB4vsADWsBDNsAbNsR8BKwCxBg8RErILFxg5OTkwMTURNDY7AREhETMXFQEnByERIyImJTcXARcBAzM1Ix0V%2BgH0ZMj%2B7Hh%2B%2FoaWFR0CRXt4AWF7%2FiXhZGSWA%2BgUHv7UASzI2v7teH%2F%2BcB2xe3gBYHv%2BJAOqyAAAAAADAAAABgUOBLAAEwAXACMAFQABsCQvsADWsBDNsAbNsSUBKwAwMTURNDY7AREhETMXEQcnASERIyImATM1IxM3JzcXNxcHFwcnBx0V%2BgH0ZMhnqv7W%2FreWFR0CWGRkZKqqf6qqf6qqf6qqlgPoFB7%2B1AEsyP7zZ6r%2B1v5wHQNnyPvVqqp%2FqqqAqap%2FqqoAAAADAAAAAASwBLAAEgAZAB0AbACwDi%2BwBs2yDgYKK7NADhAJK7AGELAMzbAaL7AbzbEECDIyAbAeL7AA1rAPzbIPAAors0APCwkrsAAQsAbNsA8QsRoBK7AdzbAMMrEfASuxGgYRErATOQCxDA4RErEXGDk5sRoGERKwCjkwMTURNDY7AREhETMXESEVIREjIiYlCQEjESMRAzUzFR0V%2BgH0ZMj%2BcP4MlhUdAlgBLAEsyMjIZJYD6BQe%2FtQBLMj%2B1Mj%2BcB2r%2FtQBLAEs%2FtQCvMjIAAAAAAMAAAAABLAEsAASABkAHQBbALAOL7AGzbIOBgors0AOEAkrsBovsBvNsQQIMjIBsB4vsADWsA%2FNsAbNsA8QsRoBK7AdzbEfASuxGgYRErATObAdEbANOQCxBg4RErILDBk5OTmwGhGwCjkwMTURNDY7AREhETMXEScBIREjIiYlMxEzETMJATUzFR0V%2BgH0ZMjI%2Ftb%2BbpYVHQJYyMjI%2FtT%2B1GSWA%2BgUHv7UASzI%2Fm7I%2Ftb%2BcB2r%2FtQBLAEsAZDIyAAAAAADAAAAyASwBEwACQATABcAADUUFjMhMjY1ESE1ITU0JiMhIgYVEzUhFR0VBEwVHftQBLAdFfu0FR1kAZD6FR0dFQImZJYVHR0V%2FRLIyAAAAAYAAABmBLAErgAGAAoADgAVABkAHQCBALAFL7EWGjMzsALNsRccMjKwBy%2BxCw8zM7AIzbEMEDIyAbAeL7AH1rAKzbAKELELASuwDs2wDhCxFgErsBnNsR8BK7ELChESswIFBgEkFzmxFg4RErMEAw8QJBc5sBkRsxIUFREkFzkAsQIFERKwADmwBxGxARQ5ObAIErATOTAxEQEVIRUhFQM1MxUzNTMVMzUhNQkBNQM1MxU7ATUjASwBkP5wyGRkZGQBkAEs%2FtRkZGRkZAGQASrGyMYCusjIyMjIxv7W%2FtbG%2FgzIyMgAAAACAGQAAASwBLAAGAAvADoAshQAACsBsDAvsADWsATNsAQQsRcLK7AQzbMJEBcIK7AFzbAFL7AJzbAQELEKCyuwDs2xMQErADAxExE3FxEzETcXETMRNxcRBxEUBisBIiY1ESUUHgIfAREUFjsBMjY1ETQmBwUOARVkMjJkMjJkMjJkHRXIFR0CWBUdHQsKHRXIFR0kGv7sGSUCvAGQZGT%2B1AEsZGT%2B1AEsZGT%2BcMv%2BQRUdHRUBv2QdNSEYBgX%2BcxUdHRUEUh8TEXQRRR8AAAAAAQBkAAAEsARMADMAOACyAAAAK7AMM7AzzbICCw4yMjKwKC%2ByGBwlMzMzsCfNsBoyAbA0L7E1ASsAsSgzERKxBiA5OTAxMyE1IiY1ESERFAYjFSE1Ii4DNRE0Nj8BNSEVMhYVESERNDYzNSEVMh4DFREUBg8BZAGQSxkB9BlLAZAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGTgMJgGK%2FnYmDDg4AQUJFQ4DeBYZAQI4OAwm%2FnYBiiYMODgBBQkVDvyIFhkBAgAGAAAAAARMBEwADwAYABwAIAAqAC4AMgCyGAAAK7AQzbAWL7ASzbISFgors0ASFAkrAbAvL7EwASsAsRIQERKzBAMZHCQXOTAxERQWMyEyNjURNCYjISIGFRMhNzMlESEHIQM1IRUBNSEVASEXFSUzNSEnIQE1JRU7KQEsKTs7Kf7UKTtkAZDIaQEn%2Fldk%2FolkASz%2B1AEs%2FtQBkMgBJ2n%2BV2T%2BiQH0AZABLCk7OykB9Ck7Oyn9RMhi%2FtZkASzIyAEsyMgBkMhiYshk%2FUajhaMAAQAQABAEnwSfACAAABIeAxceAzM%2FATYmLwEmBg8BLgEnNz4BLwEuAQ8BEAEfPpJmZ9GXex8foxEHE8ATNBB2jvxldhEGDosOLRKiA%2BQriY%2FUZmeSPSEBohIuDogOBBF2ZfyOdhExFMITBhGiAAAAAAIAAAAABLAETAAdAEAALwCyGwAAK7AMzbAoL7A4zQGwQS%2BxQgErALEMGxESsSAvOTmwKBGzJikyQCQXOTAxPQE0NjcBNTQ%2BAzIeAh8BFQEeAR0BFAYjISImERQWPwE%2BAT0BNiAXFRQWHwEWNj0BLgQjIg4EDwEVDgFtAhYmUnBSJhYBAQFtDhUdFfu0FB4dFMoUHY0BPo0dFMoUHQYaZHzaflymdWQ%2FLAkJMtQUMw4BLzIEDSAZFRQbHAoKMv7RDjMU1BUdHQKrFRkEIQQiFZIYGJIVIgQhBBkVyAgZQTEpFSEoKCELCgACAGQAAASwBEwAAwAZABQAsgAAACuwAc0BsBovsRsBKwAwMTM1IRUlISc1NxEjFSM1IxUjNSMVIzUjERcVZARM%2B%2F8Dtn1kZGTIZMhkZGRkZMiW%2BmQBkMjIyMjIyP5wZPoAAAAAAwBkAAAEsARMAAkAEwAdACQAsgoAACuwFDMBsB4vsArWsBPNsBMQsRQBK7AdzbEfASsAMDEzIRE0JisBIgYVARE0NjsBMhYVETMRNDY7ATIWFRFkASw7KWQpOwGQOylkKTtkOylkKTsBkCk7Oyn%2BcAPoKTs7KfwYArwpOzsp%2FUQAAAAABf%2BcAAAEsARMAA8AEwAfACcAKwBIALINAAArsBDNsBMvsATNAbAsL7AA1rAQzbAQELERASuwCc2xLQErsREQERK1FBUgIygqJBc5ALETEBEStRQaICYoKSQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUzESM1IxMRMxFksHwCvHywsHz9RHywyAOE%2FHxkASzIyP7UyMgBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qAEsZGT%2B1GRkZAEsZP5wASz%2B1AAAAAAF%2F5wAAASwBEwADwATAB8AJwArAEgAsg0AACuwEM2wEy%2BwBM0BsCwvsADWsBDNsBAQsREBK7AJzbEtASuxERARErUUGSAjKCokFzkAsRMQERK1FBogJigpJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMzNTMVMxEjFSM1IwEzNTMRIzUjExEzEWSwfAK8fLCwfP1EfLDIA4T8fGRkZGRkZGQBkMhkZMhkZAEsAfR8sLB8%2Fgx8sLAYArz9qMjIAfTIyP4MZAEsZP5wASz%2B1AAABP%2BcAAAEsARMAA8AEwAbACMARACyDQAAK7AQzbATL7AEzQGwJC%2BwANawEM2wEBCxEQErsAnNsSUBK7EREBESsxQVHB0kFzkAsRMQERKzFBocIiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETITUjETM1IQEhNSMRMzUhZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1AGQASzIyP7UASwB9HywsHz%2BDHywsBgCvP2oZAEsZP4MZAEsZAAAAAAE%2F5wAAASwBEwADwATABYAGQBEALINAAArsBDNsBMvsATNAbAaL7AA1rAQzbAQELERASuwCc2xGwErsREQERKzFBUXGCQXOQCxExARErMVFhcZJBc5MDEDETQ2MyEyFhURFAYjISImNyERIRMFERMtAWSwfAK8fLCwfP1EfLDIA4T8fGQBLGQBLP7UASwB9HywsHz%2BDHywsBgCvP6ilgEs%2FtSWlgAAAAAF%2F5wAAASwBEwADwATABcAHwAnAFoAsg0AACuwEM2wFC%2BwGM2wIzKwHy%2BwJTOwFc2wEy%2BwBM0BsCgvsADWsBDNsBAQsRQBK7AYzbAYELEcASuwIc2wIRCxJAErsBfNsBcQsREBK7AJzbEpASsAMDEDETQ2MyEyFhURFAYjISImNyERIRMRIRElMzI2NCYrAQQUFjsBESMiZLB8Arx8sLB8%2FUR8sMgDhPx8ZAK8%2FaiCKTY5JoIBEzYpgoImASwB9HywsHz%2BDHywsBgCvP2oAfT%2BDGRUglZWglQBLAAABf%2BcAAAEsARMAA8AEwAfACMAKQBIALINAAArsBDNsBMvsATNAbAqL7AA1rAQzbAQELERASuwCc2xKwErsREQERK1FBUgISQnJBc5ALETEBEStRQaICImKCQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNTM1IREzFSMFMzUjEzMRMxEjZLB8Arx8sLB8%2FUR8sMgDhPx8ZAEsyMj%2B1MjIAZFkZGNkZMgBLAH0fLCwfP4MfLCwGAK8%2FagBLGRk%2FtRkZGQBLP5wAfQABv%2BcAAAEsARMAA8AEwAZAB0AIQAnAEwAsg0AACuwEM2wEy%2BwBM0BsCgvsADWsBDNsBAQsREBK7AJzbEpASuxERARErcUFRocHh8iJSQXOQCxExARErcUGBobHiAkJiQXOTAxAxE0NjMhMhYVERQGIyEiJjchESETIREjNSMTNTMVFzM1IxMzETMRI2SwfAK8fLCwfP1EfLDIA4T8fGQBLMhkZWTIZGRjZGTIASwB9HywsHz%2BDHywsBgCvP2oAZBk%2FnDIyGRkASz%2BcAH0AAAAAAb%2FnAAABLAETAAPABMAHQAhACUAKwCbALINAAArsBDNsB4vsSIpMzOwH82wIzKwGi%2BwG82wFC%2BwJjOwFc2wJzKwEy%2BwBM0BsCwvsADWsBDNsBAQsR4BK7AUMrAhzbAhELEcASuwF82zGRccCCuwGs2wGi%2BwGc2wFxCxIgErsCXNsCUQsSoBK7ApzbApELAmzbAmL7ApELERASuwCc2xLQErALEbHxESsBc5sBQRsBg5MDEDETQ2MyEyFhURFAYjISImNyERIRc1IREjFSM1MzUDNTMVITUzFQM1MxEjEWSwfAK8fLCwfP1EfLDIA4T8fGQBLGNkY8dkASxkAchkASwB9HywsHz%2BDHywsBgCvMhk%2FtRkZMj%2BcGRkZGQBkGT%2BDAGQAAADAAQABASsBKwACwATAB0AeQCwCi%2BwD82wHS%2BwGs2wGS%2BwFs2wEy%2BwBM0BsB4vsAHWsA3NsA0QsRQBK7AazbAaELERASuwB82xHwErsRoUERK1Cg4TAxYdJBc5sBERtQkPBBIXGyQXOQCxGh0RErQHDRAAFCQXObAZEbAVObAWErMGDBEBJBc5MDESEBIkIAQSEAIEICQSEBYgNhAmIAM1NyEVIRUhFSEEoAESAUQBEqCg%2Fu7%2BvP7uFvMBVvPz%2FqodZAEs%2FtQBLP7UAbYBRAESoKD%2B7v68%2Fu6goAJf%2Fqrz8wFW8%2F3%2ByGRkyGQAAAQAAAAEBKgErAALABMAIAAkAKAAsAovsA%2FNsCEvsBQzsCLNsBsvsBXNsBMvsATNAbAlL7AB1rANzbANELEUASuwIM2wGzKyIBQKK7NAIB4JK7AgELEhASuwGTKwJM2wFzKwJBCxEQErsAfNsSYBK7EgFBESswoOEwMkFzmwIRGwFjmwJBKzCQ8SBCQXOQCxIiERErQHDRAAHiQXObAbEbIXGB85OTmwFRKzBgwRASQXOTAxGAESJCAEEhACBCAkEhAWIDYQJiADESEXFSM1IxUzFSMVMzUzFaABEgFEARKgoP7u%2Frz%2B7hbzAVbz8%2F6qGQEsZGTIyMjIZAG2AUQBEqCg%2Fu7%2BvP7uoKACX%2F6q8%2FMBVvP9mgGQZGRkZGRkZGQA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%2F4WwAY0AS7AIUFixAQGOWbFGBitYIbAQWUuwFFJYIbCAWR2wBitcWFmwFCsAAAABUuZYrgAA%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIC8%2BCjxnbHlwaCAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZDsiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDQiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzNCIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI2IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTciIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYzIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMjEyOyIgZD0iTTIwMCA0MDBoOTAwdjMwMGgtOTAwdi0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjVmYzsiIGhvcml6LWFkdi14PSI1MDAiIGQ9Ik0wIDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjYwMTsiIGQ9Ik0tMTQgNDk0cTAgLTgwIDU2LjUgLTEzN3QxMzUuNSAtNTdoNzUwcTEyMCAwIDIwNSA4Ni41dDg1IDIwNy41dC04NSAyMDd0LTIwNSA4NnEtNDYgMCAtOTAgLTE0cS00NCA5NyAtMTM0LjUgMTU2LjV0LTIwMC41IDU5LjVxLTE1MiAwIC0yNjAgLTEwNy41dC0xMDggLTI2MC41cTAgLTI1IDIgLTM3cS02NiAtMTQgLTEwOC41IC02Ny41dC00Mi41IC0xMjIuNXoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDEzOyIgZD0iTTI5IDQ1NGw0MTkgLTQyMGw4MTggODIwbC0yMTIgMjEybC02MDcgLTYwN2wtMjA2IDIwN3oiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI3OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzEgMTIxLjUgLTI5Mi41dDI5Mi41IC0xMjEuNXQyOTIuNSAxMjEuNXQxMjEuNSAyOTIuNXQtMTIxLjUgMjkyLjV0LTI5Mi41IDEyMS41dC0yOTIuNSAtMTIxLjV0LTEyMS41IC0yOTIuNXpNMzUwIDYwMGwyNTAgMzAwIGwyNTAgLTMwMGgtMTUwdi0zMDBoLTIwMHYzMDBoLTE1MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI4OyIgZD0iTTAgMjV2NDc1bDIwMCA3MDBoODAwbDE5OSAtNzAwbDEgLTQ3NXEwIC0xMSAtNyAtMTh0LTE4IC03aC0xMTUwcS0xMSAwIC0xOCA3dC03IDE4ek0yMDAgNTAwaDIwMGw1MCAtMjAwaDMwMGw1MCAyMDBoMjAwbC05NyA1MDBoLTYwNnoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI5OyIgZD0iTTQgNjAwcTAgMTYyIDgwIDI5OXQyMTcgMjE3dDI5OSA4MHQyOTkgLTgwdDIxNyAtMjE3dDgwIC0yOTl0LTgwIC0yOTl0LTIxNyAtMjE3dC0yOTkgLTgwdC0yOTkgODB0LTIxNyAyMTd0LTgwIDI5OXpNMTg2IDYwMHEwIC0xNzIgMTIxLjUgLTI5M3QyOTIuNSAtMTIxdDI5Mi41IDEyMXQxMjEuNSAyOTNxMCAxNzEgLTEyMS41IDI5Mi41dC0yOTIuNSAxMjEuNXQtMjkyLjUgLTEyMS41dC0xMjEuNSAtMjkyLjV6TTUwMCAzOTd2NDAxIGwyOTcgLTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMwOyIgZD0iTTIzIDYwMHEwIC0xMTggNDUuNSAtMjI0LjV0MTIzIC0xODR0MTg0IC0xMjN0MjI0LjUgLTQ1LjV0MjI0LjUgNDUuNXQxODQgMTIzdDEyMyAxODR0NDUuNSAyMjQuNWgtMTUwcTAgLTE3NyAtMTI1IC0zMDJ0LTMwMiAtMTI1dC0zMDIgMTI1dC0xMjUgMzAydDEyNSAzMDJ0MzAyIDEyNXExMzYgMCAyNDYgLTgxbC0xNDYgLTE0Nmg0MDB2NDAwbC0xNDUgLTE0NXEtMTU3IDEyMiAtMzU1IDEyMnEtMTE4IDAgLTIyNC41IC00NS41dC0xODQgLTEyMyB0LTEyMyAtMTg0dC00NS41IC0yMjQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41cTE5OCAwIDM1NSAtMTIybDE0NSAxNDV2LTQwMGgtNDAwbDE0NyAxNDdxLTExMiA4MCAtMjQ3IDgwcS0xNzcgMCAtMzAyIC0xMjV0LTEyNSAtMzAyaC0xNTB6TTEwMCAwdjQwMGg0MDBsLTE0NyAtMTQ3cTExMiAtODAgMjQ3IC04MHExNzcgMCAzMDIgMTI1dDEyNSAzMDJoMTUwcTAgLTExOCAtNDUuNSAtMjI0LjV0LTEyMyAtMTg0dC0xODQgLTEyMyB0LTIyNC41IC00NS41cS0xOTggMCAtMzU1IDEyMnoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDUwOyIgZD0iTS03NSAyMDBoNzV2ODAwaC03NWwxMjUgMTY3bDEyNSAtMTY3aC03NXYtODAwaDc1bC0xMjUgLTE2N3pNMzAwIDkwMHYzMDBoMTUwaDcwMGgxNTB2LTMwMGgtNTBxMCAyOSAtOCA0OC41dC0xOC41IDMwdC0zMy41IDE1dC0zOS41IDUuNXQtNTAuNSAxaC0yMDB2LTg1MGwxMDAgLTUwdi0xMDBoLTQwMHYxMDBsMTAwIDUwdjg1MGgtMjAwcS0zNCAwIC01MC41IC0xdC00MCAtNS41dC0zMy41IC0xNXQtMTguNSAtMzB0LTguNSAtNDguNWgtNDl6ICIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwNTE7IiBkPSJNMzMgNTFsMTY3IDEyNXYtNzVoODAwdjc1bDE2NyAtMTI1bC0xNjcgLTEyNXY3NWgtODAwdi03NXpNMTAwIDkwMXYzMDBoMTUwaDcwMGgxNTB2LTMwMGgtNTBxMCAyOSAtOCA0OC41dC0xOCAzMHQtMzMuNSAxNXQtNDAgNS41dC01MC41IDFoLTIwMHYtNjUwbDEwMCAtNTB2LTEwMGgtNDAwdjEwMGwxMDAgNTB2NjUwaC0yMDBxLTM0IDAgLTUwLjUgLTF0LTM5LjUgLTUuNXQtMzMuNSAtMTV0LTE4LjUgLTMwdC04IC00OC41aC01MHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDU5OyIgZD0iTTAgMjc1djY1MHEwIDMxIDIyIDUzdDUzIDIyaDc1MHEzMSAwIDUzIC0yMnQyMiAtNTN2LTY1MHEwIC0zMSAtMjIgLTUzdC01MyAtMjJoLTc1MHEtMzEgMCAtNTMgMjJ0LTIyIDUzek05MDAgNjAwbDMwMCAzMDB2LTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDYwOyIgZD0iTTAgNDR2MTAxMnEwIDE4IDEzIDMxdDMxIDEzaDExMTJxMTkgMCAzMS41IC0xM3QxMi41IC0zMXYtMTAxMnEwIC0xOCAtMTIuNSAtMzF0LTMxLjUgLTEzaC0xMTEycS0xOCAwIC0zMSAxM3QtMTMgMzF6TTEwMCAyNjNsMjQ3IDE4MmwyOTggLTEzMWwtNzQgMTU2bDI5MyAzMThsMjM2IC0yODh2NTAwaC0xMDAwdi03Mzd6TTIwOCA3NTBxMCA1NiAzOSA5NXQ5NSAzOXQ5NSAtMzl0MzkgLTk1dC0zOSAtOTV0LTk1IC0zOXQtOTUgMzl0LTM5IDk1eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEzNiA1NTBsNTY0IDU1MHYtNDg3bDUwMCA0ODd2LTExMDBsLTUwMCA0ODh2LTQ4OHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc4OyIgZD0iTTEwMCAyNTB2MTAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWgxMDAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di0xMDBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjVoLTEwMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41ek0xMDAgNTAwaDExMDBsLTU1MCA1NjR6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3OTsiIGQ9Ik0xODUgNTk5bDU5MiAtNTkybDI0MCAyNDBsLTM1MyAzNTNsMzUzIDM1M2wtMjQwIDI0MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgwOyIgZD0iTTI3MiAxOTRsMzUzIDM1M2wtMzUzIDM1M2wyNDEgMjQwbDU3MiAtNTcxbDIxIC0yMmwtMSAtMXYtMWwtNTkyIC01OTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4MTsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMzAwIDUwMGgyMDB2LTIwMGgyMDB2MjAwaDIwMHYyMDBoLTIwMHYyMDBoLTIwMHYtMjAwaC0yMDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDgyOyIgZD0iTTMgNjAwcTAgMTYyIDgwIDI5OS41dDIxNy41IDIxNy41dDI5OS41IDgwdDI5OS41IC04MHQyMTcuNSAtMjE3LjV0ODAgLTI5OS41dC04MCAtMjk5LjV0LTIxNy41IC0yMTcuNXQtMjk5LjUgLTgwdC0yOTkuNSA4MHQtMjE3LjUgMjE3LjV0LTgwIDI5OS41ek0zMDAgNTAwaDYwMHYyMDBoLTYwMHYtMjAweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODM7IiBkPSJNMyA2MDBxMCAxNjIgODAgMjk5LjV0MjE3LjUgMjE3LjV0Mjk5LjUgODB0Mjk5LjUgLTgwdDIxNy41IC0yMTcuNXQ4MCAtMjk5LjV0LTgwIC0yOTkuNXQtMjE3LjUgLTIxNy41dC0yOTkuNSAtODB0LTI5OS41IDgwdC0yMTcuNSAyMTcuNXQtODAgMjk5LjV6TTI0NiA0NTlsMjEzIC0yMTNsMTQxIDE0MmwxNDEgLTE0MmwyMTMgMjEzbC0xNDIgMTQxbDE0MiAxNDFsLTIxMyAyMTJsLTE0MSAtMTQxbC0xNDEgMTQybC0yMTIgLTIxM2wxNDEgLTE0MSB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA4NDsiIGQ9Ik0zIDYwMHEwIDE2MiA4MCAyOTkuNXQyMTcuNSAyMTcuNXQyOTkuNSA4MHQyOTkuNSAtODB0MjE3LjUgLTIxNy41dDgwIC0yOTkuNXQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMjk5LjUgODB0LTIxNy41IDIxNy41dC04MCAyOTkuNXpNMjcwIDU1MWwyNzYgLTI3N2w0MTEgNDExbC0xNzUgMTc0bC0yMzYgLTIzNmwtMTAyIDEwMnoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDkxOyIgZD0iTTAgNTQ3bDYwMCA0NTN2LTMwMGg2MDB2LTMwMGgtNjAwdi0zMDF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MjsiIGQ9Ik0wIDQwMHYzMDBoNjAwdjMwMGw2MDAgLTQ1M2wtNjAwIC00NDh2MzAxaC02MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5MzsiIGQ9Ik0yMDQgNjAwbDQ1MCA2MDBsNDQ0IC02MDBoLTI5OHYtNjAwaC0zMDB2NjAwaC0yOTZ6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NDsiIGQ9Ik0xMDQgNjAwaDI5NnY2MDBoMzAwdi02MDBoMjk4bC00NDkgLTYwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk1OyIgZD0iTTAgMjAwcTYgMTMyIDQxIDIzOC41dDEwMy41IDE5M3QxODQgMTM4dDI3MS41IDU5LjV2MjcxbDYwMCAtNDUzbC02MDAgLTQ0OHYzMDFxLTk1IC0yIC0xODMgLTIwdC0xNzAgLTUydC0xNDcgLTkyLjV0LTEwMCAtMTM1LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA5NjsiIGQ9Ik0wIDB2NDAwbDEyOSAtMTI5bDI5NCAyOTRsMTQyIC0xNDJsLTI5NCAtMjk0bDEyOSAtMTI5aC00MDB6TTYzNSA3NzdsMTQyIC0xNDJsMjk0IDI5NGwxMjkgLTEyOXY0MDBoLTQwMGwxMjkgLTEyOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk3OyIgZD0iTTM0IDE3NmwyOTUgMjk1bC0xMjkgMTI5aDQwMHYtNDAwbC0xMjkgMTMwbC0yOTUgLTI5NXpNNjAwIDYwMHY0MDBsMTI5IC0xMjlsMjk1IDI5NWwxNDIgLTE0MWwtMjk1IC0yOTVsMTI5IC0xMzBoLTQwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTAxOyIgZD0iTTIzIDYwMHEwIDExOCA0NS41IDIyNC41dDEyMyAxODR0MTg0IDEyM3QyMjQuNSA0NS41dDIyNC41IC00NS41dDE4NCAtMTIzdDEyMyAtMTg0dDQ1LjUgLTIyNC41dC00NS41IC0yMjQuNXQtMTIzIC0xODR0LTE4NCAtMTIzdC0yMjQuNSAtNDUuNXQtMjI0LjUgNDUuNXQtMTg0IDEyM3QtMTIzIDE4NHQtNDUuNSAyMjQuNXpNNDU2IDg1MWw1OCAtMzAycTQgLTIwIDIxLjUgLTM0LjV0MzcuNSAtMTQuNWg1NHEyMCAwIDM3LjUgMTQuNSB0MjEuNSAzNC41bDU4IDMwMnE0IDIwIC04IDM0LjV0LTMyIDE0LjVoLTIwN3EtMjEgMCAtMzMgLTE0LjV0LTggLTM0LjV6TTUwMCAzMDBoMjAwdjEwMGgtMjAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwMjsiIGQ9Ik0wIDgwMGgxMDB2LTIwMGg0MDB2MzAwaDIwMHYtMzAwaDQwMHYyMDBoMTAwdjEwMGgtMTExcTEgMSAxIDYuNXQtMS41IDE1dC0zLjUgMTcuNWwtMzQgMTcycS0xMSAzOSAtNDEuNSA2M3QtNjkuNSAyNHEtMzIgMCAtNjEgLTE3bC0yMzkgLTE0NHEtMjIgLTEzIC00MCAtMzVxLTE5IDI0IC00MCAzNmwtMjM4IDE0NHEtMzMgMTggLTYyIDE4cS0zOSAwIC02OS41IC0yM3QtNDAuNSAtNjFsLTM1IC0xNzdxLTIgLTggLTMgLTE4dC0xIC0xNXYtNiBoLTExMXYtMTAwek0xMDAgMGg0MDB2NDAwaC00MDB2LTQwMHpNMjAwIDkwMHEtMyAwIDE0IDQ4dDM2IDk2bDE4IDQ3bDIxMyAtMTkxaC0yODF6TTcwMCAwdjQwMGg0MDB2LTQwMGgtNDAwek03MzEgOTAwbDIwMiAxOTdxNSAtMTIgMTIgLTMyLjV0MjMgLTY0dDI1IC03MnQ3IC0yOC41aC0yNjl6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwMzsiIGQ9Ik0wIC0yMnYxNDNsMjE2IDE5M3EtOSA1MyAtMTMgODN0LTUuNSA5NHQ5IDExM3QzOC41IDExNHQ3NCAxMjRxNDcgNjAgOTkuNSAxMDIuNXQxMDMgNjh0MTI3LjUgNDh0MTQ1LjUgMzcuNXQxODQuNSA0My41dDIyMCA1OC41cTAgLTE4OSAtMjIgLTM0M3QtNTkgLTI1OHQtODkgLTE4MS41dC0xMDguNSAtMTIwdC0xMjIgLTY4dC0xMjUuNSAtMzB0LTEyMS41IC0xLjV0LTEwNy41IDEyLjV0LTg3LjUgMTd0LTU2LjUgNy41bC05OSAtNTV6IE0yMzguNSAzMDAuNXExOS41IC02LjUgODYuNSA3Ni41cTU1IDY2IDM2NyAyMzRxNzAgMzggMTE4LjUgNjkuNXQxMDIgNzl0OTkgMTExLjV0ODYuNSAxNDhxMjIgNTAgMjQgNjB0LTYgMTlxLTcgNSAtMTcgNXQtMjYuNSAtMTQuNXQtMzMuNSAtMzkuNXEtMzUgLTUxIC0xMTMuNSAtMTA4LjV0LTEzOS41IC04OS41bC02MSAtMzJxLTM2OSAtMTk3IC00NTggLTQwMXEtNDggLTExMSAtMjguNSAtMTE3LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEwNDsiIGQ9Ik0xMTEgNDA4cTAgLTMzIDUgLTYzcTkgLTU2IDQ0IC0xMTkuNXQxMDUgLTEwOC41cTMxIC0yMSA2NCAtMTZ0NjIgMjMuNXQ1NyA0OS41dDQ4IDYxLjV0MzUgNjAuNXEzMiA2NiAzOSAxODQuNXQtMTMgMTU3LjVxNzkgLTgwIDEyMiAtMTY0dDI2IC0xODRxLTUgLTMzIC0yMC41IC02OS41dC0zNy41IC04MC41cS0xMCAtMTkgLTE0LjUgLTI5dC0xMiAtMjZ0LTkgLTIzLjV0LTMgLTE5dDIuNSAtMTUuNXQxMSAtOS41dDE5LjUgLTV0MzAuNSAyLjUgdDQyIDhxNTcgMjAgOTEgMzR0ODcuNSA0NC41dDg3IDY0dDY1LjUgODguNXQ0NyAxMjJxMzggMTcyIC00NC41IDM0MS41dC0yNDYuNSAyNzguNXEyMiAtNDQgNDMgLTEyOXEzOSAtMTU5IC0zMiAtMTU0cS0xNSAyIC0zMyA5cS03OSAzMyAtMTIwLjUgMTAwdC00NCAxNzUuNXQ0OC41IDI1Ny41cS0xMyAtOCAtMzQgLTIzLjV0LTcyLjUgLTY2LjV0LTg4LjUgLTEwNS41dC02MCAtMTM4dC04IC0xNjYuNXEyIC0xMiA4IC00MS41dDggLTQzdDYgLTM5LjUgdDMuNSAtMzkuNXQtMSAtMzMuNXQtNiAtMzEuNXQtMTMuNSAtMjR0LTIxIC0yMC41dC0zMSAtMTJxLTM4IC0xMCAtNjcgMTN0LTQwLjUgNjEuNXQtMTUgODEuNXQxMC41IDc1cS01MiAtNDYgLTgzLjUgLTEwMXQtMzkgLTEwN3QtNy41IC04NXoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTMzOyIgZD0iTTUgNTk3cTAgMTIyIDQ3LjUgMjMyLjV0MTI3LjUgMTkwLjV0MTkwLjUgMTI3LjV0MjMyLjUgNDcuNXExNjIgMCAyOTkuNSAtODB0MjE3LjUgLTIxOHQ4MCAtMzAwdC04MCAtMjk5LjV0LTIxNy41IC0yMTcuNXQtMjk5LjUgLTgwdC0zMDAgODB0LTIxOCAyMTcuNXQtODAgMjk5LjV6TTMwMCA2MDBoMjAwdi0zMDBoMjAwdjMwMGgyMDBsLTMwMCA0MDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNDsiIGQ9Ik01IDU5N3EwIDEyMiA0Ny41IDIzMi41dDEyNy41IDE5MC41dDE5MC41IDEyNy41dDIzMi41IDQ3LjVxMTYyIDAgMjk5LjUgLTgwdDIxNy41IC0yMTh0ODAgLTMwMHQtODAgLTI5OS41dC0yMTcuNSAtMjE3LjV0LTI5OS41IC04MHQtMzAwIDgwdC0yMTggMjE3LjV0LTgwIDI5OS41ek0zMDAgNjAwbDMwMCAtNDAwbDMwMCA0MDBoLTIwMHYzMDBoLTIwMHYtMzAwaC0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNTsiIGQ9Ik01IDU5N3EwIDEyMiA0Ny41IDIzMi41dDEyNy41IDE5MC41dDE5MC41IDEyNy41dDIzMi41IDQ3LjVxMTIxIDAgMjMxLjUgLTQ3LjV0MTkwLjUgLTEyNy41dDEyNy41IC0xOTAuNXQ0Ny41IC0yMzIuNXEwIC0xNjIgLTgwIC0yOTkuNXQtMjE3LjUgLTIxNy41dC0yOTkuNSAtODB0LTMwMCA4MHQtMjE4IDIxNy41dC04MCAyOTkuNXpNMjU0IDc4MHEtOCAtMzMgNS41IC05Mi41dDcuNSAtODcuNXEwIC05IDE3IC00NHQxNiAtNjAgcTEyIDAgMjMgLTUuNXQyMyAtMTV0MjAgLTEzLjVxMjQgLTEyIDEwOCAtNDJxMjIgLTggNTMgLTMxLjV0NTkuNSAtMzguNXQ1Ny41IC0xMXE4IC0xOCAtMTUgLTU1dC0yMCAtNTdxNDIgLTcxIDg3IC04MHEwIC02IC0zIC0xNS41dC0zLjUgLTE0LjV0NC41IC0xN3ExMDQgLTMgMjIxIDExMnEzMCAyOSA0NyA0N3QzNC41IDQ5dDIwLjUgNjJxLTE0IDkgLTM3IDkuNXQtMzYgNy41cS0xNCA3IC00OSAxNXQtNTIgMTlxLTkgMCAtMzkuNSAtMC41IHQtNDYuNSAtMS41dC0zOSAtNi41dC0zOSAtMTYuNXEtNTAgLTM1IC02NiAtMTJxLTQgMiAtMy41IDI1LjV0MC41IDI1LjVxLTYgMTMgLTI2LjUgMTd0LTI0LjUgN3EyIDIyIC0yIDQxdC0xNi41IDI4dC0zOC41IC0yMHEtMjMgLTI1IC00MiA0cS0xOSAyOCAtOCA1OHE2IDE2IDIyIDIycTYgLTEgMjYgLTEuNXQzMy41IC00dDE5LjUgLTEzLjVxMTIgLTE5IDMyIC0zNy41dDM0IC0yNy41bDE0IC04cTAgMyA5LjUgMzkuNXQ1LjUgNTcuNSBxLTQgMjMgMTQuNSA0NC41dDIyLjUgMzEuNXE1IDE0IDEwIDM1dDguNSAzMXQxNS41IDIyLjV0MzQgMjEuNXEtNiAxOCAxMCAzN3E4IDAgMjMuNSAtMS41dDI0LjUgLTEuNXQyMC41IDQuNXQyMC41IDE1LjVxLTEwIDIzIC0zMC41IDQyLjV0LTM4IDMwdC00OSAyNi41dC00My41IDIzcTExIDM5IDIgNDRxMzEgLTEzIDU4IC0xNC41dDM5IDMuNWwxMSA0cTcgMzYgLTE2LjUgNTMuNXQtNjQuNSAyOC41dC01NiAyM3EtMTkgLTMgLTM3IDAgcS0xNSAtMTIgLTM2LjUgLTIxdC0zNC41IC0xMnQtNDQgLTh0LTM5IC02cS0xNSAtMyAtNDUuNSAwLjV0LTQ1LjUgLTIuNXEtMjEgLTcgLTUyIC0yNi41dC0zNCAtMzQuNXEtMyAtMTEgNi41IC0yMi41dDguNSAtMTguNXEtMyAtMzQgLTI3LjUgLTkwLjV0LTI5LjUgLTc5LjV6TTUxOCA5MTZxMyAxMiAxNiAzMHQxNiAyNXExMCAtMTAgMTguNSAtMTB0MTQgNnQxNC41IDE0LjV0MTYgMTIuNXEwIC0yNCAxNyAtNjYuNXQxNyAtNDMuNSBxLTkgMiAtMzEgNXQtMzYgNXQtMzIgOHQtMzAgMTR6TTY5MiAxMDAzaDFoLTF6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNjsiIGQ9Ik0wIDE2NC41cTAgMjEuNSAxNSAzNy41bDYwMCA1OTlxLTMzIDEwMSA2IDIwMS41dDEzNSAxNTQuNXExNjQgOTIgMzA2IC05bC0yNTkgLTEzOGwxNDUgLTIzMmwyNTEgMTI2cTEzIC0xNzUgLTE1MSAtMjY3cS0xMjMgLTcwIC0yNTMgLTIzbC01OTYgLTU5NnEtMTUgLTE2IC0zNi41IC0xNnQtMzYuNSAxNmwtMTExIDExMHEtMTUgMTUgLTE1IDM2LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNzsiIGhvcml6LWFkdi14PSIxMjIwIiBkPSJNMCAxOTZ2MTAwcTAgNDEgMjkuNSA3MC41dDcwLjUgMjkuNWgxMDAwcTQxIDAgNzAuNSAtMjkuNXQyOS41IC03MC41di0xMDBxMCAtNDEgLTI5LjUgLTcwLjV0LTcwLjUgLTI5LjVoLTEwMDBxLTQxIDAgLTcwLjUgMjkuNXQtMjkuNSA3MC41ek0wIDU5NnYxMDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDEwMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjV2LTEwMHEwIC00MSAtMjkuNSAtNzAuNXQtNzAuNSAtMjkuNWgtMTAwMCBxLTQxIDAgLTcwLjUgMjkuNXQtMjkuNSA3MC41ek0wIDk5NnYxMDBxMCA0MSAyOS41IDcwLjV0NzAuNSAyOS41aDEwMDBxNDEgMCA3MC41IC0yOS41dDI5LjUgLTcwLjV2LTEwMHEwIC00MSAtMjkuNSAtNzAuNXQtNzAuNSAtMjkuNWgtMTAwMHEtNDEgMCAtNzAuNSAyOS41dC0yOS41IDcwLjV6TTYwMCA1OTZoNTAwdjEwMGgtNTAwdi0xMDB6TTgwMCAxOTZoMzAwdjEwMGgtMzAwdi0xMDB6TTkwMCA5OTZoMjAwdjEwMGgtMjAwdi0xMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzODsiIGQ9Ik0xMDAgMTEwMHYxMDBoMTAwMHYtMTAwaC0xMDAwek0xNTAgMTAwMGg5MDBsLTM1MCAtNTAwdi0zMDBsLTIwMCAtMjAwdjUwMHoiIC8%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUwOyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTYwMiA5MDBsMjk4IDMwMGwyOTggLTMwMGgtMTk4di05MDBoLTIwMHY5MDBoLTE5OHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTUxOyIgZD0iTTIgMzAwaDE5OHY5MDBoMjAwdi05MDBoMTk4bC0yOTggLTMwMHpNNzAwIDB2MjAwaDEwMHYtMTAwaDIwMHYtMTAwaC0zMDB6TTcwMCA0MDB2MTAwaDMwMHYtMjAwaC05OXYtMTAwaC0xMDB2MTAwaDk5djEwMGgtMjAwek03MDAgNzAwdjUwMGgzMDB2LTUwMGgtMTAwdjEwMGgtMTAwdi0xMDBoLTEwMHpNODAxIDkwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTU0OyIgZD0iTTIgMzAwbDI5OCAtMzAwbDI5OCAzMDBoLTE5OHY5MDBoLTIwMHYtOTAwaC0xOTh6TTgwMCA0MDB2MTAwaDIwMHYtNTAwaC0xMDB2NDAwaC0xMDB6TTgwMCA4MDB2NDAwaDMwMHYtNTAwaC0xMDB2MTAwaC0yMDB6TTkwMSA5MDBoMTAwdjIwMGgtMTAwdi0yMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE1NTsiIGQ9Ik0yIDMwMGwyOTggLTMwMGwyOTggMzAwaC0xOTh2OTAwaC0yMDB2LTkwMGgtMTk4ek03MDAgMTAwdjIwMGg1MDB2LTIwMGgtNTAwek03MDAgNDAwdjIwMGg0MDB2LTIwMGgtNDAwek03MDAgNzAwdjIwMGgzMDB2LTIwMGgtMzAwek03MDAgMTAwMHYyMDBoMjAwdi0yMDBoLTIwMHoiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY3OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzAwaDMwMHYtMzAwaDMwMHYzMDBoMjk1bC00NDUgNTAwek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY4OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgNzA1bDMwNSAtMzA1bDU5NiA1OTZsLTE1NCAxNTVsLTQ0MiAtNDQybC0xNTAgMTUxek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTY5OyIgZD0iTTAgMHYyNzVxMCAxMSA3IDE4dDE4IDdoMTA0OHExMSAwIDE5IC03LjV0OCAtMTcuNXYtMjc1aC0xMTAwek0xMDAgOTg4bDk3IC05OGwyMTIgMjEzbC05NyA5N3pNMjAwIDQwMGw2OTcgMWwzIDY5OWwtMjUwIC0yMzlsLTE0OSAxNDlsLTIxMiAtMjEybDE0OSAtMTQ5ek05MDAgMTUwaDEwMHY1MGgtMTAwdi01MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTczOyIgZD0iTTAgMTUwdjEwMDBxMCAyMCAxNC41IDM1dDM1LjUgMTVoMjUwdi0zMDBoNTAwdjMwMGgxMDBsMjAwIC0yMDB2LTIxOGwtMjc2IC0yNzVsLTEyMCAxMjBsLTEyNiAtMTI3aC0zNzh2LTQwMGgtMTUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXpNNTgxIDMwNmwxMjMgMTIzbDEyMCAtMTIwbDM1MyAzNTJsMTIzIC0xMjNsLTQ3NSAtNDc2ek02MDAgMTAwMGgxMDB2MjAwaC0xMDB2LTIwMHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg0OyIgZD0iTTEwMCAwdjEwMGgxMTAwdi0xMDBoLTExMDB6TTE3NSAyMDBoOTUwbC0xMjUgMTUwdjI1MGwxMDAgMTAwdjQwMGgtMTAwdi0yMDBoLTEwMHYyMDBoLTIwMHYtMjAwaC0xMDB2MjAwaC0yMDB2LTIwMGgtMTAwdjIwMGgtMTAwdi00MDBsMTAwIC0xMDB2LTI1MHoiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTg4OyIgZD0iTS0xMDAgMzAwdjUwMHEwIDEyNCA4OCAyMTJ0MjEyIDg4aDcwMHExMjQgMCAyMTIgLTg4dDg4IC0yMTJ2LTUwMHEwIC0xMjQgLTg4IC0yMTJ0LTIxMiAtODhoLTcwMHEtMTI0IDAgLTIxMiA4OHQtODggMjEyek0xMDAgMjAwaDkwMHY3MDBoLTkwMHYtNzAwek0yMDAgMzAwaDMwMHYxMDBoLTIwMHYzMDBoMjAwdjEwMGgtMzAwdi01MDB6TTYwMCAzMDBoMzAwdjEwMGgtMjAwdjMwMGgyMDB2MTAwaC0zMDB2LTUwMHoiIC8%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%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+.main-container {
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+<div class="container-fluid main-container">
+
+
+
+
+<div id="prosper-loan" class="section level1">
+<h1>PROSPER LOAN</h1>
+</div>
+<div id="by-may-chu" class="section level1">
+<h1>by MAY CHU</h1>
+<p>========================================================</p>
+</div>
+<div id="abstract" class="section level1">
+<h1>ABSTRACT</h1>
+<p>This project aims to use Exploratory Data Analysis (EDA) to explore the Prosper Loan dataset which includes over 113937 listings of Prosper borrowers.</p>
+<p>Prosper is one of the leading online Peer-to-peer lending platform that connects potential borrowers with potential lenders, filters candidates on both sides of the equation, and sets some rules. Peer-to-peer lending is the new trend in recent years, which allows people to seek out a loan from somewhere other than a traditional banking institution. Instead of going to a bank or a credit union, borrowers can get a loan that comes from individuals looking to earn more interest on their money than promised by traditional savings accounts.</p>
+<p>Here how it works:</p>
+<ul>
+<li>Borrowers choose a loan amount, purpose and post a loan listing.</li>
+<li>Investors review loan listings and invest in listings that meet their criteria.</li>
+<li>Once the process is complete, borrowers make fixed monthly payments and investors receive a portion of those payments directly to their Prosper account.</li>
+</ul>
+<p>This project tends to answer 4 questions:</p>
+<ol style="list-style-type: decimal">
+<li>What is the population of Prosper borrowers?</li>
+<li>What factors affect the number of investors to prosper loan?</li>
+<li>What affect borrower rate and APR?</li>
+<li>Loss in charge-off loans?</li>
+</ol>
+</div>
+<div id="univariate-plots-section" class="section level1">
+<h1>Univariate Plots Section</h1>
+<div id="a.-listing-summary" class="section level3">
+<h3>A. Listing summary</h3>
+<div id="i.-loan-term" class="section level4">
+<h4>I. Loan term</h4>
+<pre><code>## Source: local data frame [3 x 2]
+## 
+##    Term     n
+##   (int) (int)
+## 1    12  1614
+## 2    36 87778
+## 3    60 24545</code></pre>
+<pre><code>## [1] 0.7704082</code></pre>
+<p>There are only 3 loan terms in the dataset: 12,36,60 months. Loans with duration of 36 months (3 years) is the most popular with 87,778 observations (account for 77%).</p>
+</div>
+<div id="ii.-loan-original-amount" class="section level4">
+<h4>II. Loan original amount</h4>
+<p><img 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" title alt width="672" /></p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1000    4000    6500    8337   12000   35000</code></pre>
+<pre><code>## [1] 430</code></pre>
+<pre><code>## [1] 867</code></pre>
+<p>75% of the loans smaller than $12000, 50% lie between $4000 to $12000. The maximum loan amount Prosper allows is $35,000. There are 430 loans with the amount of $350,000. Not all loans are fully funded, there are 867 partially funded loans. The status of partial funded loans are as the chart below</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+<div id="iii.-loan-purpose" class="section level4">
+<h4>III. Loan purpose</h4>
+<p><img 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" title alt width="672" /></p>
+<p>There are 20 loans purpose: 0 - Not Available, 1 - Debt Consolidation, 2 - Home Improvement, 3 - Business, 4 - Personal Loan, 5 - Student Use, 6 - Auto, 7- Other, 8 - Baby&amp;Adoption, 9 - Boat, 10 - Cosmetic Procedure, 11 - Engagement Ring, 12 - Green Loans, 13 - Household Expenses, 14 - Large Purchases, 15 - Medical/Dental, 16 - Motorcycle, 17 - RV, 18 - Taxes, 19 - Vacation, 20 - Wedding Loans</p>
+<p>The most common purpose is for Debt consolidation (50%), about 15% of borrowers don’t specify their purpose.</p>
+</div>
+<div id="iv.-estimated-performance-of-the-loan" class="section level4">
+<h4>IV. Estimated Performance of the loan</h4>
+<div id="prosper-rating" class="section level5">
+<h5>1.Prosper rating</h5>
+<p>The Prosper Rating assigned at the time the listing was created between HR (worst) - AA (best). Applicable for loans originated after July 2009. Prosper Ratings allow potential investors to easily consider a loan application’s level of risk because the rating represents an estimated average annualized loss rate range to the investor.</p>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## Source: local data frame [8 x 2]
+## 
+##   ProsperRating..Alpha.     n
+##                  (fctr) (int)
+## 1                    HR  6935
+## 2                     E  9795
+## 3                     D 14274
+## 4                     C 18345
+## 5                     B 15581
+## 6                     A 14551
+## 7                    AA  5372
+## 8                    NA 29084</code></pre>
+<p>Prosper rating of C is the most count (represent 16%). Only 5000 borrowers have prosper rating of AA (which is the least count). 26% of the dataset (29084 listings) has blank Prosper Rating. As we know that Prosper Rating was just introduced after 2009. Before that, Prosper used the Credit Grade as the reference for borrowers’ credit. The distribution of Credit Grade is shown in the plot below.</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+</div>
+<div id="lenders-yield-estimated-effective-yield-estimated-loss-and-estimated-return" class="section level4">
+<h4>2. Lender’s yield, Estimated Effective Yield, Estimated Loss and Estimated Return</h4>
+<p><img 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" title alt width="672" /></p>
+<p>Lender yield = interest rate - servicing fee Lender yield clusters around 0.05 to 0.3 (5% - 30%)</p>
+<p>Effective yield = borrower interest rate - the servicing fee rate - estimated uncollected interest on charge-offs + estimated collected late fees. Most Effective yield fluctuates around 0.1 to 0.3 (10%-30%)</p>
+<p>Estimated loss is the estimated principal loss on charge-offs. Most of its values get around 0 to 0.2% (0-20%)</p>
+<p>Estimated return = Estimated Effective Yield - Estimated Loss Rate. Estimated return value clusters around 10%</p>
+</div>
+</div>
+<div id="b.-borrowers-information" class="section level3">
+<h3>B. Borrower’s information</h3>
+<div id="i.-borrowers-location" class="section level4">
+<h4>I. Borrower’s location</h4>
+<p><img 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" title alt width="1440" /></p>
+<p>15000 borrowers come from California, which rank it the first place among borrower origin states. States of more than 5000 borrowers include: Georgia, Illinois, Florida, New York and Texas</p>
+</div>
+<div id="ii.-occupation" class="section level4">
+<h4>II. Occupation</h4>
+<p><img 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" title alt width="1440" /></p>
+<p>The are 68 occupations in the list. Many borowers don’t specify their occupations (with category Other). There are also missing values</p>
+<div id="iii.-employment-status" class="section level5">
+<h5>III. Employment status</h5>
+<p><img 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" title alt width="672" /></p>
+<p>Most of the borrowers are employed (60%), work full-time(20%),part-time (2%) and self-employed (5%)… There are only 835 borrowers unemployed (very small percentage). There are missing values, Other and Not available answer which make it difficult to determine these borrowers’ employment status.</p>
+</div>
+<div id="employment-status-duration" class="section level5">
+<h5>Employment status duration</h5>
+<p>Employment status duration is the length in months of the employment status at the time the listing was created.</p>
+<p><img 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" title alt width="672" /></p>
+<p>To have a more general view of employment duration, I will join the duration by years by bucket</p>
+<pre><code>## 
+##   (0,5]  (5,10] (10,15] (15,20] (20,25] (25,30] (30,35] (35,40] 
+##   48076   25624   14194    7362    4449    2715    1408     604</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>From the chart, we can see that nearly 5000 borrowers have stayed in their current status from 1 to 5 years. However, knowing this number doesn’t make any sense if we don’t know which status they are in. So, I will color the employment status against this bar chart</p>
+<p><img 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" title alt width="672" /></p>
+<p>It’s clear that most borrowers are employed and full-time employed. Over 30,000 borrowers have been employed from 1-5 years. Unemployed borrowers only stay in that status for less than 5 years.</p>
+</div>
+</div>
+<div id="iv.-income-range" class="section level4">
+<h4>IV. Income Range</h4>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<pre><code>##   Not employed  Not displayed             $0      $1-24,999 $25,000-49,999 
+##            806           7741              0           7274          32192 
+## $50,000-74,999 $75,000-99,999      $100,000+           NA's 
+##          31050          16916          17337            621</code></pre>
+<p>Over 60000 borrowers earn from 25000 to 75000 annually (account for half of the dataset)</p>
+<div id="income-range-vs.income-verifiable" class="section level5">
+<h5>Income Range vs. Income Verifiable</h5>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Only a very small number of borrowers cannot verify income. The only exception appears in Not-employed group, but the reason is quite obvious.</p>
+</div>
+</div>
+<div id="v.-homeownership" class="section level4">
+<h4>V. Homeownership</h4>
+<pre><code>## Source: local data frame [2 x 2]
+## 
+##   IsBorrowerHomeowner     n
+##                 (lgl) (int)
+## 1               FALSE 56459
+## 2                TRUE 57478</code></pre>
+<p>The number of borrowers who own a house is similar to those who don’t own the house. It seems having a collateral doesn’t affect a Prosper loan listing</p>
+</div>
+<div id="v.-borrowers-credit-information" class="section level4">
+<h4>V. Borrower’s Credit Information</h4>
+<div id="prosper-score" class="section level5">
+<h5>1. Prosper Score</h5>
+<p>Prosper Score is a custom risk score built using historical Prosper data. The score ranges from 1-11, with 11 being the best, or lowest risk score. Applicable for loans originated after July 2009.</p>
+<p><img 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" title alt width="672" /></p>
+<p>The most common Prosper Score is 4, 6, 8 (account for nearly 15% each)</p>
+</div>
+<div id="credit-score" class="section level5">
+<h5>2.Credit Score</h5>
+<p><img 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" title alt width="672" /></p>
+<p>Similar to prosper rating and prosper score, many borrowers have medium credit score range from 640 to 779. Very few have scores lower than 640 or higher than 780.</p>
+</div>
+<div id="debtincome-ratio" class="section level5">
+<h5>3.Debt/Income Ratio</h5>
+<p>The debt to income ratio of the borrower at the time the credit profile was pulled. This value is Null if the debt to income ratio is not available. This value is capped at 10.01 (any debt to income ratio larger than 1000% will be returned as 1001%).</p>
+<p><img 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IdCoNbVNCAhUEgCJMmhEKh1NQ1ICBSSAElyKARqXU0DEgKFJECSHAqBWlfTgIRAIQmQJIdCoNbVNCAhUEgCJMmhEKh1NQ1ICBSSAElyKARqXU0DEgKFJECSHAqBWlfTgIRAIQmQJIdCoNbVNCAhUEgCJMmhEKh1NQ1ICBSSAElyKARqXU0DEgKFJECSHAqBWlfTgIRAIQmQJIdCoNbVNCAhUEgCJMmhEKh1NQ1ICBSSAElyqOgCfXx4eHj70/Ha8+baw7c51y4y9iIgUEgCJMmhYgv0t+8fdvluf/Vxf+0g1HvXECgChRSMJDlUaIH+/sNOiE8PD++3V592Jv387uGbX2auIVAECikaSXKo0AJ9fvj6x+1/H3dPzTcPR3ePRDeWfH//GgJFoJDCkSSHCi3Qx8PPNJ92jyufz8/Wv71/DYEiUEjhSJJDhRboMXuBPh6fnj9tbXnv2nXGXgQECkmAJDnUCAL9/Yftw8r9/26zfWZ/71rirxh7ERAoJAGS5FADCPTwUtLmP4cX4z+/2ynz5rXD/R4mMflG3NJToN6zEqKfjgLdvr1z9/T8+DrRXpL3rh3uiUARKCER01mgu6flU0k+vL93LfG3jP00oKdArWYKVB+kGCTJoQZ4Cr99+Whj0MWPQKcZexEQKCQBkuRQQwh09xrR4p+BTjP2IiBQSAIkyaGGEOjufUzTV9rf/nTvWuIvGHsRECgkAZLkUOMIdPpez5lr1xl7ERAoJAGS5FCRBXp+Yv4099kjPolkL9DzbZwWSAYkyaEiC/T0saL9a0R8Fr6rQNNWtRsqnbEXClIQVHhSH4FutLh9PLl5JDr7+5f4bUwIFFJskuRQoQW6FWLubwDl94EiUEihSZJDxRbowYunZ+X8RnoECmlUkuRQ0QVqlLEXAYFCEiBJDoVAratpQEKgkARIkkMhUOtqGpAQKCQBkuRQCNS6mgYkBApJgCQ5FAK1rqYBCYFCEiBJDoVAratpQEKgkARIkkMhUOtqGpB6CjSZkiLi1AcpBklyKARqXU0Dkrc/ESgkA5LkUAjUupoGJG9/IlBIBiTJoRCodTUNSN7+nMRuqHTGXihIQVDhSXnaQqA2JG9rTmM2VDpjLxSkIKjwpDxtIVAbkrc0pzEbKp2xFwpSEFR4Up62EKgNyVua05gNlc7YCwUpCCo8KU9bCNSG5C3NacyGSmfshYIUBBWelKctBGpD8pbmNGZDpTP2QkEKggpPytMWArUheUtzGrOh0hl7oSAFQYUn5WkLgdqQvKU5jdlQ6Yy9UJCCoMKT8rSFQGtI3qpMp3KouYy4UJDCocKT8rSFQCtI3qa8kbqhZjPgQkGKhwpPytMWAq0geZvyRuqGms2ACwUpHio8KU9bCLSC5G3KG6kbajYDLhSkeKjwpDxtIdAKkrcpb6RuqNkMuFCQ4qHCk/K0hUArSN6mvJG6oWYz4EJBiocKT8rTFgKtIHmb8kbqhprNgAsFKR4qPClPWwi0guRtyhupG2o2Ay4UpHio8KQ8bSHQCpK3KWdTMtRsBlwoSPFQ4Ul52kKgFSRvP86nYKjZDLhQkOKhwpPytIVAK0jeepxPwVCzGXChIMVDhSflaQuBVpC89TifgqFmM+BCQYqHCk/K0xYCrSB563E+BUPNZsCFghQPFZ6Upy0EWkHy1uN8CoaazYALBSkeKjwpT1sIdDnJ24oLkj9UfsZZKEiBUeFJedpCoItJ3lJckuyhFmSYhYIUGRWelKctBLqY5C3FJckeakGGWShIkVHhSXnaQqCLSd5SXJLsoRZkmIWCFBkVnpSnLQS6mOQtxSXJHmpBhlkoSJFR4Ul52kKgi0neUixKnPogBSZJDoVAraupI3m7sCxh6oMUmCQ5FAK1rqaO5K3CsoSpD1JgkuRQCNS6mjqStwrLEqY+SIFJkkMhUOtq6kjeKixLmPogBSZJDoVAraupI3mrsCxh6oMUmCQ5FAK1rqaO5K3CsoSpD1JgkuRQCNS6mjqStwrLEqY+SIFJkkMhUOtq6kjeKixLmPogBSZJDoVAraupI3mrsCxh6oMUmCQ5FAK1rqaO5K3CsoSpD1JgkuRQCNS6mjqStwrLEqY+SIFJkkMhUOtq6kjeKixLmPogBSZJDoVAraupI3mrsCxh6oMUmCQ5FAK1rqaO5K3CsoSpD1JgkuRQCNS6mjqStwrLEqY+SIFJkkMhUOtq6kjeKixLmPogBSZJDoVAraupI3mrsCxh6oMUmCQ5FAK1rqaO5K3CsoSpD1JgkuRQCNS6mjqStwrLEqY+SIFJkkMhUOtq6kjeKixLmPogBSZJDoVAraupI3mrsCxh6oMUmCQ5FAK1rqaO5K3CsoSpD1JgkuRQCNS6mjqStwpr41wfpMAkyaEQqHU1dSRvAVbHtz5IgUmSQyFQ62rqSN7+q45vfZACkySHQqDW1dSRvP1XHd/6IAUmSQ6FQK2rqSN5+686vvVBCkySHAqBWldTR/L2X3V864MUmCQ5FAK1rqaO5O2/6vjWBykwSXIoBGpdTR3J23/V8a0PUmCS5FAI1LqaOpK3/6rjWx+kwCTJoRCodTV1JG//Vce3PkiBSZJDIVDraupI3v6rjm99kAKTJIdCoNbV1JG8/Vcd3/ogBSZJDoVAraupI3n7rzq+9UEKTJIcCoFaV1NH8vZfdXzrgxSYJDkUArWupo7k7b/q+NYHKTBJcigEal1NHcnbf9XxrQ9SYJLkUAjUupo6krf/quNbH6TAJMmhEKh1NXUkb/9Vx7c+SIFJkkMhUOtq6kje/quOb32QApMkh1qLQAtSdq9Kkrf/quNbH6TAJMmhCkl52gok0H7/ttSRvP1XHd/6IAUmSQ61lkeg/aqpI3n7rzq+9UEKTJIcCoFaV1NH8vZfdXzrgxSYJDkUArWupo7k7b/q+NYHKTBJcigEal1NHcnbf9XxrQ9SYJLkUAjUupo6krf/quNbH6TAJMmhEKh1NXUkb/9Vx7c+SIFJkkMhUOtq6kje/quOb32QApMkh0Kg1tXUkbz9Vx3f+iAFJkkOhUCtq6kjefuvOr71QQpMkhwKgVpXU0fy9l91fOuDFJgkORQCta6mjuTtv+r41gcpMElyKARqXU0dydt/1fGtD1JgkuRQCNS6mjqSt/+q41sfpMAkyaEQqHU1dSRv/1XHtz5IgUmSQyFQ62rqSN7+q45vfZACkySHQqDW1dSRvP1XHd/6IAUmSQ6FQK2rqSN5+686vvVBCkySHAqBWldTR/L2X3V864MUmCQ5FAK1rqaO5O2/6vjWBykwSXIoBGpdTR3J23/V8a0PUmCS5FAI1LqaOpK3/6rjWx+kwCTJoRCodTV1JG//Vce3PkiBSZJDIVDraupI3v6rjm99kAKTJIdCoNbVlJC8rdc4reuLflog9UaFJ+VpC4HmxVtwzdO2vvCnBVJvVHhSnrYQaF68/dY8besLf1og9UaFJ+VpC4HmxdtvzdO2vvCnBVJvVHhSnrYQaF68/dY8besLf1og9UaFJ+VpC4HmxdtvzdO2vvCnBVJvVHhSnrYQaF68/dY8besLf1og9UaFJ+VpC4HmxdtvzdO2vvCnBVJvVHhSnrYQaF68/dY8besLf1og9UaFJ+VpC4HmxdtvzdO2vvCnBVJvVHhSnrYQaF68/dY8besLf1og9UaFJ+VpC4HmxdtvzdO2vvCnBVJvVHhSnrZyBPrrn//w18nVD2/++T9LDDmT2Ivg7bfmaVtf+NMCqTcqPClPW0UC/ae/lRhyJrEXwdtvzdO2vvCnBVJvVHhSnraWC/TXPyNQwbStL/xpgdQbFZ6Up60ZgX58kwpP4fXStr7wpwVSb1R4Up62ZgS6ebiZyJf1urxOnEVIWcXPbJ1iV18q4U8LpN6o8KQ8bc09hf/Uy59xBJrUipfXusWsvmTCnxZIvVHhSXnaKngRqVHCLEJSK15e6xaz+pIJf1og9UaFJ+VpC4FeJakVL691i1l9yYQ/LZB6o8KT8rTFG+mvktSKl9e6xay+ZMKfFki9UeFJedpCoFdJasXLa91iVl8y4U8LpN6o8KQ8bWUK9O9/nL6KpP0+0KRWvLzWLWb1JRP+tEDqjQpPytNWnkAv3g6KQPViVl8y4U8LpN6o8KQ8bWUJ9PK9TAhUL2b1JRP+tEDqjQpPytNWlkA/NHLmq4RZhKRWvLzWLWb1JRP+tEDqjQpPytNWjkD/8ZcO/kSgvjGrL5nwpwVSb1R4Up628t4H2ujDR68SZhGSWvHyWreY1ZdM+NMCqTcqPClPWwj0KkmteHmtW8zqSyb8aYHUGxWelKetzKfwCFQ9ZvUlE/60QOqNCk/K01bWi0gf2/wCu9cJswhJrXh5rVvM6ksm/GmB1BsVnpSnrSyBdnkOH2YRklrx8ppDKutLJvxpgdQbFZ6Up628N9L//Y/tH4OGWYSkTLxs5pG6+pIJf1og9UaFJ+VpK/NFJN5Iv6LU1ZdM+NMCqTcqPClPWwj0KkmXeMnMI3X1JRP+tEDqjQpPytMWAr1K0iVeMvNIXX3JhD8tkHqjwpPytMWvs7tK0iVeMvNIXX3JhD8tkHqjwpPytIVAr5J0iZfMPFJXXzLhTwuk3qjwpDxtIdCrJF3iJTOP1NWXTPjTAqk3KjwpT1sI9CpJl3jJzCN19SUT/rRA6o0KT8rTFi8iXSXpEi+ZeaSuvmTCnxZIvVHhSXnaQqBXSbrES2YeqasvmfCnBVJvVHhSnrYQ6FWSLvGSmUfq6ksm/GmB1BsVnpSnraU/A/3HX1p9qDPMIiRd4iUzj9TVl0z40wKpNyo8KU9by19EavWrmcIsQtIlXjLzSF19yYQ/LZB6o8KT8rS1XKCbx6BfLb5TRsIsQtIlXjLzSF19yYQ/LZB6o8KT8rRV8DamRg9BwyxC0iVeMvNIXX3JhD8tkHqjwpPytFUkUF5Ekk5dfcmEPy2QeqPCk/K0hUCvknSJl8w8UldfMuFPC6TeqPCkPG0tF+ivf+YpvHbq6ksm/GmB1BsVnpSnrcUC3b4p9Iuld8pJmEVIusRLZq4pqi+Z8KcFUm9UeFKetkreSP+Hv1aZ8kbCLEJSIV4O801JfcmEPy2QeqPCk/K0VSLQNv8Hc2EWIWkQL4X5pqS+ZMKfFki9UeFJedpaLtAmryC9INCIKakvmfCnBVJvVHhSnrb4dXZXSRrES2G+KakvmfCnBVJvVHhSnrYQ6FWSBvFSmG9K6ksm/GmB1BsVnpSnLQR6laRBvBTmm5L6kgl/WiD1RoUn5WkrW6CHH4QmfgL69LDJt8drz9nXEGj4lNSXTPjTAqk3KjzJVKCT15EuFPrb9w+7fP3j7urj/trbn2avIdD4KakvmfCnBVJvVHiSpUBfvQ7/6m2gv/+wU+fndw/f/PKyezT6Xd41BDpASupLJvxpgdQbFZ5kKNB//GXjzf3vsPu0uTT9JOfz4aHnxovvdw9Hv8u7hkBHSEl9yYQ/LZB6o8KTDAX6aSLNrUwnvw/08fB4cvNI9NutTk/P1meuIdARUlJfMuFPC6TeqPAkQ4F+mP7gc/N0fvJZ+JMNdxeOOt08Xd/Y8t41BDpCSupLJvxpgdQbFZ5kJ9DNg87ppzeTv1B59wR9/zB0m+0z+3vXRhHoylNSXzLhTwuk3qjwJDuBbh5zTv9PPD6l3su0s+JGkt/tr35+t1PmzWuHez1Mkvf9doi3tQLFeykI8UpfgW4egG6eoB9fJ9pL8t61w90QaOx4LwUhXun6FH5jx+3PNaeSfHh/71rqG+734Pz+l72tFSgl9SUT/vkapN6o8CQ7gd57Eenoz92DysWPQBFo7JTUl0z40wKpNyo8yVCgd97GdPDn/jHl4p+BItDYKakvmfCnBVJvVHiSoUDvvJF+J8Tjy+rTV9rf/nTvGgIdIiX1JRP+tEDqjQpPMhTo649yXryEdPbnq/eBbi7cu4ZAR0hJfcmEPy2QeqPCkywFeueXiWz8eX5AKfdJpJWnpL5kwp8WSL1R4UmmAr356+wOr7+fr2l9Fn7lKakvmfCnBVJvVHiSsUBv5On1x4rUfhvTylNSXzLhTwuk3qjwpC4CPf420NNvShb7faArT0l9yYQ/LZB6o8KTbAX6cf8q/K9/fv0cfvN48rVAxX4j/cpTUl8y4U8LpN6o8CRLgW5/ALoT6N//+ObqbfRGCbMI3tYKlJL6kgl/WiD1RoUn5Wkr/32gu09zbt8G2sigYRbB21qBUlJfMuFPC6TeqPCkPG1lCfTj5P/H4+Obq08i2STMInhbK1BK6ksm/GmB1BsVnmrKGCkAACAASURBVJSnrcxfJjL5yefmWXyTh6BhFsHbWoFSUl8y4U8LpN6o8KQ8bWX+OrvZX6hcnzCL4G2tQCmpL5nwpwVSb1R4Up62rH6hcn3CLIK3tUImv75kwp8WSL1R4Ul52kKgV/F2Vcxk15dM+NMCqTcqPClPW5k/A50+af/AU/gVJru+ZMKfFki9UeFJedrKfRX+/EPQT29e/UTULGEWwVtVMZNdXzLhTwuk3qjwpDxtZQl0+z76w/uYthebPINHoLGTXV8y4U8LpN6o8KQ8beV9EunTm2mavA0UgcZOdn3JhD8tkHqjwpPytJX5WfjtRzgPOb2l3jhhFsFbVTGTXV8y4U8LpN6o8KQ8bS39faCt9IlAgye7vmTCnxZIvVHhSXnaqv19oHYJswjeqoqZ7PqSCX9aIPVGhSflaQuBXsVbVTGTXV8y4U8LpN6o8KQ8bSHQq3irKmay60sm/GmB1BsVnpSnLQR6FW9VxUx2fcmEPy2QeqPCk/K0hUCv4q2qmMmuL5nwpwVSb1R4Up62EOhVvFUVM9n1JRP+tEDqjQpPytMWAr2Kt6piJru+ZMKfFki9UeFJedpCoFfxVlXMZNeXTPjTAqk3KjwpT1sI9CreqhonzgsFyZwkORQCta7m/pe9tTRQfBcKkjlJcigEal1N6kZvFw0Zj4WC1JAkORQCta4mcZu3isaMw0JBakmSHAqBWleTuM1bRWPGYaEgtSRJDoVAratJ3OatojHjsFCQWpIkh0Kg1tUkbvNW0ZhxWChILUmSQyFQ62oSt3mraMw4LBSkliTJoRCodTWJ27xVNGYcFgpSS5LkUAjUuprEbd4qGjMOCwWpJUlyKARqXU3iNm8VjRmHhYLUkiQ5FAK1riZxm7eKxozDQkFqSZIcCoFaV5O4zVtFY8ZhoSC1JEkOhUCtq0nc5q2iMeOwUJBakiSHQqDW1SRu81bRmHFYKEgtSZJDIVDrahK3eatozDgsFKSWJMmhEKh1NYnbvFU0ZhwWClJLkuRQCNS6msRt3ioaMw4LBaklSXIoBGpdTeI2bxWNGYeFgtSSJDkUArWuJnGbt4rGjMNCQWpJkhwKgVpXk7jNW0VjxmGhILUkSQ6FQK2rSdzmraIx47BQkFqSJIdCoNbVJG7zVtGYcVgoSC1JkkMhUOtqErd5q2jMOCwUpJYkyaEQqHU1idu8VTRmHBYKUkuS5FAI1LqaxG3eKhozDgsFqSVJcigEal1N4jZvFY0Zh4WC1JIkORQCta4mcZu3isaMw0JBakmSHAqBWleTuM1bRWPGYaEgtSRJDoVAratJ3OatojHjsFCQWpIkh0Kg1tUkbvNW0ZhxWChILUmSQyFQ62oSt3mraMw4LBSkliTJoRCodTWJ27xVNGYcFgpSS5LkUAjUuprEbd4qGjMOCwWpJUlyKARqXU3iNm8VjRmHhYLUkiQ5FAK1riZxm7eKxozDQkFqSZIcCoFaV5O4zVtFY8ZhoSC1JEkOhUCtq0nc5q2iMeOwUJBakiSHQqDW1SRu81bRmHFYKEgtSZJDIVDrahK3eatozDgsFKSWJMmhEKh1NYnbvFU0ZhwWClJLkuRQCNS6msRt3ioaMw4LBaklSXIoBGpdTeI2bxWNGYeFgtSSJDkUArWuJnGbt4rGjMNCQWpJkhwKgVpXk7jNW0VjxmGhILUkSQ6FQK2rSdzmraIx47BQkFqSJIdCoNbVnC96G2jw9FsoSF1IkkMhUOtqTpe8BTR6ui1UfiDVkCSHQqDW1ZwueQto9HRbqPxAqiFJDoVAras5XfIW0OjptlD5gVRDkhwKgVpXc7rkLaDR022h8gOphiQ5FAK1ruZ0yVtAo6fbQuUHUg1JcigEal3N6ZK3gHTSeKHyA6mGJDkUArWu5nTJWztCabtQ+YFUQ5IcCoFaV3O65G0dobRdqPxAqiFJDoVAras5XfK2jlDaLlR+INWQJIdCoNbVnC55W0cobRcqP5BqSJJDrUWgBSm71zne1hFK24XKD6RBUOFJedoKJNB+/7acLnlbRyhtFyo/kGpIkkOt5RFov2pOl7ytI5S2C5UfSDUkyaEQqHU1p0ve1hFK24XKD6QakuRQCNS6mtMlb+sIpe1C5QdSDUlyKARqXc3pkrd1hNJ2ofIDqYYkORQCta7mdMnbOkJpu1D5gVRDkhwKgVpXc7rkbR2htF2o/ECqIUkOhUCtqzld8raOUNouVH4g1ZAkh0Kg1tWcLnlbRyhtFyo/kGpIkkMhUOtqTpe8rSOUtguVH0g1JMmhEKh1NadL3tYRStuFyg+kGpLkUAjUuprTJW/rCKXtQuUHUg1JcigEal3N6ZK3dYTSdqHyA6mGJDkUArWu5nTJ2zpCabtQ+YFUQ5IcCoFaV3O65G0dobRdqPxAqiFJDoVAras5XfK2jlDaLlR+INWQJIdCoNbVnC55W0cxTRYqP5BqSJJDIVDrak6XvGUjmRYLlR9INSTJoRCodTWnS96ukUyLhcoPpBqS5FAI1Lqa0yVv10imxULlB1INSXIoBGpdzemSt2sk02Kh8gOphiQ5FAK1ruZ0yds1kmmxUPmBVEOSHAqBWldzuuTtGvHYLVR+INWQJIdCoNbVnC55G0Y9ZguVH0g1JMmhEKh1NadL3oJRj9lC5QdSDUlyKARqXc3pkrdg1GO2UPmBVEOSHAqBWldzuuQtGPWYLVR+INWQJIdCoMbVeGtlPalcKMlzGZokORQCta3G2yorSt1CaZ7L0CTJoRCobTXeVllR6hZK81yGJkkOhUBtq/G2yopSt1Ca5zI0SXIoBGpbjbdVVpS6hdI8l6FJkkMhUNtqvK2yotQtlOa5DE2SHAqB2lbjbZUVpW6hNM9laJLkUAjUthpvq6wodQuleS5DkySHQqC21XhbZUWpWyjNcxmaJDkUArWtxtsqK0rdQmmey9AkyaEQqG013lZZUeoWSvNchiZJDoVAbavxtsqKUrdQmucyNElyKARqW423VVaUuoXSPJehSZJDIVDbarytsqLULZTmuQxNkhwKgdpW422VFaVuoTTPZWiS5FAI1LYab6usKHULpXkuQ5Mkh0KgttV4W2VFqVsozXMZmiQ5FAK1rcbbKitK3UJpnsvQJMmhEKhtNd5WWVHqFkrzXIYmSQ6FQG2r8bbKilK3UJrnMjRJcigEaluNt1VWmeinBVJvVHhSnrYQKOmSgoXSPJehSZJDIVDbarxVss4ULJTmuQxNkhwKgdpW462SdaZgoTTPZWiS5FAI1LYab5WsMwULpXkuQ5Mkh0KgttV4q2SdKVgozXMZmiQ5FAK1rcZbJetMwUJpnsvQJMmhEKhtNd4qWWcKFkrzXIYmSQ6FQG2r8VbJOlOwUJrnMjRJcigEaluNt0rWmYKF0jyXoUmSQyFQ22q8VbLOFCyU5rkMTZIcCoHaVuOtknWmYKE0z2VokuRQCNS2Gm+VrDMFC6V5LkOTJIdCoLbVeKtknSlYKM1zGZokORQCta3GWyXrTMFCaZ7L0CTJoRCobTXeKllnChZK81yGJkkOhUBtq/FWyTpTsFCa5zI0SXIoBGpbjbdK1pmChdI8l6FJkkMhUNtqvFWyzhQslOa5DE2SHAqB2lbjrZJ1pmChNM9laJLkUAjUthpvlawzBQuleS5DkySHQqC21XirZOVZsFKS5zI0SXIoBGpbjbdB1p78lZI8l6FJkkMhUItqvLVBjlmwh9tuCUieqPCkPG2tRaDe1iCnLNjDTbcEJFdUeFKethAo6ZwFe7jploDkigpPytMWAiWds2APN90SkFxR4Ul52kKgpHMW7OGmWwKSKyo8KU9bCJR0zoI93HRLQHJFhSflaQuBks5ZsIebbglIrqjwpDxtIVDSOQv2cNMtAckVFZ6Upy0ESjpnwR5uuiUguaLCk/K0hUBJ5yzYw023BCRXVHhSnrYQKOmcBXu46ZaA5IoKT8rTlo1Anx++O1/c5NucaxdBoCvJgj3cdEtAckWFJ+Wpz0Sgv31/Eujjwy5vf5q9dhkEupIs2MNNtwQkV1R4Up77LAS68edRoE+7S5/fPXzzy8w1BLrWLNjDTbcEJFdUeFI3gW6UeBTo8aHo5qb3968h0NVmwR5uuiUguaLCk3oJdPPE/F/+7SDQ5/Oz9W/vX7sOAl1JFuzhplsCkisqPClPf9UC3Tyg/O73Hw4CfTw+PX/a2vLeNQS62izYw023BCRXVHhSL4H+6y8vR4Fu/nt4cPn88PWP964l/iIEupIs2MNNtwQkV1R4Up7/TF6Fnwj08GLS53c7Zd68drjjwyQW38jteFuDJNJ2yQmpiIdAz29n2kry3rXDHRHoutN2zQkpj7dAH97fu5b4S3gKv77MPYtquiUguaLCk/Lc5/sIdBoEur7M7eGmWwKSKyo8Kc99vj8DnQaBri9ze7jploDkigpPynOftUBPr7S//enetcRfgkDXl7k93HRLQHJFhSfluc9UoNP3em4u3Lt2HQS6vszt4aZbApIrKjwpz322AuWTSGRJ5vZw0y0ByRUVnpTnPluB8ll4siRze7jploDkigpPynOfrUD5bUxkSeb2cNMtAckVFZ7kIlB+HyhZkLk93HRLQHJFhSfluc9aoPxGepKfuT3cdEtAckWFJ+W5j/9PJOKXuT3cdEtAckWFJ+VpC4ESv8zt4aZbApIrKjwpT1sIlPhlbg833RKQXFHhSXnaEheotyHI3czt4RZbAlIMVHhSnra0BeotCHI/c3u4wZaAFAQVnpSnLQRK/DK3hxtsCUhBUOFJedpCoMQvc3u4wZaAFAQVnpSnLQRKIiS9hxtsiXQgdUeFJ+VpC4GSEEnu4QZbIh1I3VHhSXnaQqAkRJJ7uMGWSAdSd1R4Up62ECgJkeQebrAl0oHUHRWelKctBEpCJLmHG2yJdCB1R4Un5WkLgZIQSe7hBlsiHUjdUeFJedpCoCREknu4wZZIB1J3VHhSnrYQKImV6R5usCXSgdQdFZ6Upy0ESoJlsocbbIl0IHVHhSflaQuBkmCZ7OEGWyIdSN1R4Ul52kKgJFgme7jBlkgHUndUeFKethAoCZbJHm6wJdKB1B0VnpSnLQRKgmWyhxtsiXQgdUeFJ+VpC4GSYJns4QZbIh1I3VHhSXnaQqAkWCZ7uMGWSAdSd1R4Up62ECgJlskebrAl0oHUHRWelKctBEqCZbKHG2yJdCB1R4Un5WkLgZJgmezhBlsiHUjdUeFJedpCoCRYJnu4wZZIB1J3VHhSnrYQKAmWyR5usCXSgdQdFZ6Upy0ESoJlsocbbIl0IHVHhSflaQuBkmCZ7OEGWyIdSN1R4Ul52kKgJFgme7jBlkgHUndUeFKethAoCZbJHm6wJdKB1B0VnpSnLQRKgmWyhxtsiXQgdUeFJ+VpC4GSsJE8l6FJkkMh0OJqvA1A6tJgS6QjaYCSOykOhUCLq/EWAKlLgy2RjqQBSu6kOBQCLa7GWwCkLg22RDqSBii5k+JQCLS4Gm8BkLo02BLpSBqg5E6KQyHQ4mq8BUDq0mBLpCNpgJI7KQ6FQIur8RYAqUuDLZGOpAFK7qQ4FAItrsZbAKQuDbZEOpIGKLmT4lAItLgabwGQujTYEulIGqDkTopDIdDiarwFQOrSYEukI2mAkjspDoVAi6vxFgAxit2WSEfSACV3UhwKgRZX433uiVXMtkQ6kgYouZPiUAi0uBrvY0+sYrYl0pE0QMmdFIdCoMXVeB97YhWzLZGOpAFK7qQ4FAItrsb72BOrmG2JdCQNUHInxaEQaHE13seeWMVsS6QjaYCSOykOhUCLq/E+9sQqZlsiHUkDlNxJcSgEWlyN97EnVjHbEulIGqDkTopDIdDiaryPPbGK2ZZIR9IAJXdSHAqBLqzG+7AT+1RuiblIGqDkTopDIdBl1XifddIgdVtiNpIGKLmT4lAIdFk13medNE3JlpiNpAFK7qQ4FAJdVo33CSdtU7AlZiNpgJI7KQ6FQJdV433ASdsUbInZSBqg5E6KQyHQZdV4H3DSK9lbYjaSBii5k+JQCHRZNd7HmnRL7paYjaQBSu6kOBQCXVaN96km3ZK7JWYjaYCSOykOhUCXVeN9qkm35G6J2UgaoOROikMh0GXVeJ9q0i25W2I2kgYouZPiUAh0WTXep5p0S+6WmI2kAUrupDgUAl1WjfepJt2SuyVmI2mAkjspDoVAl1XjfapJt+RuidlIGqDkTopDIdBl1XifatItuVtiNpIGKLmT4lAIdFk13qeadEvulpiNpAFK7qQ4FAJdVo33qSbdkrslZiNpgJI7KQ6FQJdV432qSbfkbonZSBqg5E6KQyHQZdV4n2rSLblbYjaSBii5k+JQCHRZNd6nmnRL7paYjaQBSu6kOBQCXVaN96km3ZK7JWYjaYCSOykOhUCXVeN9qkm35G6J2UgaoOROikMh0GXVeJ9q0i25W2I2kgYouZPiUAh0WTXep5r0T/Vpsdp8g5Mkh0Kgy6rxPszEIbWnxWrzDU6SHAqBLqvG+ywTh9SeFqvNNzhJcigEuqwa77NMHFJ7Wqw23+AkyaEQ6LJqvM8ycUjtabHafIOTJIdai0ALkryX91kmDrm/JZpEkSQ5VCEpT1uBBGr1b4v3WSYOqX24YbX5BidJDrWWR6BW1XifZeKQ2tNitfkGJ0kOhUCXVeN9lolDak+L1eYbnCQ5FAJdVo33WSYOqT0tVptvcJLkUAh0WTXeZ5m4Jvq5DE2SHAqBLqvG+wQT3xSdFqvNNzhJcigEuqwa7wNMfFN0Wqw23+AkyaEQ6LJqvA8w8U3RabHafIOTJIdCoMuq8T7AJEoWnBarzTc4SXIoBLqsGu9jS8Ik/7RYbb7BSZJDIdBl1XifWhIm+afFavMNTpIcCoEuq8b71JJ4mT0tVptvNrFJkkMh0GXVeB9WEjBzp8Vq880mNklyKAS6rBrvs0oCZu60WG2+2cQmSQ6FQJdV431WScDMnRarzTeb2CTJoRDosmq8zyoJmLnTYrX5ZhObJDkUAl1WjfdZJQEzd1qsNt9sYpMkh0Kgy6rxPqskYOZOi9Xmm01skuRQCHRZNd5nlQTM3Gmx2nyziU2SHAqBLqvG+6ySgJk7LVabbzaxSZJDIdBl1XifVRIwc6fFavPNJjZJcigEuqwa77NKQid9Wqw232xikySHQqDLqvE+oSR2kqfFavPNJjZJcigEuqwa7wNKYid5Wqw232xikySHQqDLqvE+oCR2kqfFavPNJjZJcigEuqwa7wNKYid5Wqw232xikySHQqDLqvE+oCR2kqfFavPNJjZJcigEuqwa7wNKYie1USQNUHInxaEQ6LJq3E4mGSLJfWK1+WYT2zWSQyHQZdU4nUsySJL7xGrzzSa2aySHQqDLqnE6l2SQJPeJ1eabTWzXSA6FQJdV43Quycix2nyzie0ayaEQ6LJqvM8iGTBWm282sV0jORQCXVaN91kkA8Zq880mtmskh0Kgy6rxPotkwFhtvtnEdo3kUAh0WTXeZ5EMGKvNN5vYrpEcCoFmVeN9BMnIqdx8+YntGsmhEGhONd4nkAydus23ILFdIzkUAs2pxvsEEpGUbL4Fie0ayaEQaE413ueOqKRg8y1IbNdIDoVAc6rxPnZEJQWbb0Fiu0ZyKASaU433sSMqKdh8CxLbNZJDIdCcaryPHVFJweZbkNiukRwKgeZU433siEoKNt+CxHaN5FAINKca72NH5JK/+RYktmskh0KgOdV4nzail+zNtyCxXSM5FALNqcb7sBG9ZG++BYntGsmhEGhONd6HjSjH8FzWbfPGJMmhEGhONd5HjEjH7lzWbfPGJMmhEGhONd4njEjH7lzWbfPGJMmhEGhONd4njEjH7lzWbfPGJMmhEGhONd4njEjH7lzWbfPGJMmhEGhONd4njEjH7lzWbfPGJMmhEGhONd4njEjH7lzWbfPGJMmhEGhONd4njEjH7lzWbfPGJMmhEGhONd4njEjn58RGi26AkjuF11o/Up62ECgh80nus6JzWbfNG5Pia60fKU9bCJSQ+ST3WdG5rNvmjUnxtdaPlKctBEpIYYrOZd02b0yKr7V+pDxtIVBCClN0Luu2eWNSfK31I+VpC4ESUpiic1m3zRuT4mutHylPWwiUkOosOJd123xBEGgdKU9bCJSQ+uSfy7ptviAItI6Upy0ESohhZs9l3TZfEARaR8rTFgIlxDJz57Jumy8IAq0j5WkLgRJimblzWbfNFwSB1pHytIVACWmT9Lms2+YLgkDrSHnaQqCENEryXNZt8wVBoHWkPG0hUEIaJXku67b5giDQOlKethAoIc3zc2qflmzzBUGgdaQ8bSFQQtonuU0LtvmCINA6Up62ECgh7ZPcpgXbfEEQaB0pT1sIlBCnFGzzBUGgdaQ8bSFQQpxSsM0XBIHWkfK0hUAJCRRDA5TcKbzW+pHytIVACYmZWgOU3Cm81vqR8rSFQAkJmtM2v//lWwYoOFDxtdaPlKctBEpI0Mzt7RkDFByo+FrrR8rTFgIlZPSkDVCijfBa60fK0xYCJWT4pA7HzJdnT9SCINAAQaCEVGfuQOSfqAVBoH3y/LDJtze+iEAJaZ/UiamWTd3ZjUnKc1pPgT4+7PL2p+RXESghTqmVTd3ZjUnKk1pHgT49PHz38vL53cM3v6S+XFSN98YjRCvJhyQ/p25ckOTZRaDL8tv3W3/uDPo+9fWSaky2DCHEM0u0VmAJEYE+H5+7P6Z/DIpACSH3818zh19YoI/Hp+5P6Z+CIlBCSINICPT3H44PPJ8fvv4x8QcQKCGkRUQE+t3+0ud3J4E+TFLyl3ovDCEkfkrcEk2gx9eQTAWKQQkhcylRS2SBJl+Gl3wvWWiS5FCQakiSQ2m8iJR8BDqN5CKEJkkOBamGJDmUhkCTPwOdRnIRQpMkh4JUQ5IcSkagp1fhzd7GFH4RQpMkh4JUQ5IcSkOg0/eBJj/LKbkIoUmSQ0GqIUkOJSLQFp9ECr8IoUmSQ0GqIUkOJSLQFp+FD78IoUmSQ0GqIUkOJSLQJr+NKfoihCZJDgWphiQ5lIpA2/4+0CXVQOqNgjQGSXIoGYE2/Y30S6qB1BsFaQyS5FA6Ar0byUUITZIcClINSXIoBGpdDaTeKEhjkCSHQqDW1UDqjYI0BklyKARqXQ2k3ihIY5Akh0Kg1tVA6o2CNAZJcigEal0NpN4oSGOQJIdCoNbVQOqNgjQGSXIoBGpdDaTeKEhjkCSHQqDW1UDqjYI0BklyKARqXQ2k3ihIY5Akh0Kg1tVA6o2CNAZJcigEal0NpN4oSGOQJIdCoNbVQOqNgjQGSXIoBGpdDaTeKEhjkCSHQqDW1UDqjYI0BklyKARqXQ2k3ihIY5Akh0Kg1tVA6o2CNAZJcigEal0NpN4oSGOQJIdCoNbVQOqNgjQGSXIoBGpdDaTeKEhjkCSHQqDW1UDqjYI0BklyKARqXQ2k3ihIY5Akh0Kg1tVA6o2CNAZJcigEal0NpN4oSGOQJIdCoNbVQOqNgjQGSXIoBGpdDaTeKEhjkCSHWolAS/LwAGkIFKQxSJJDNSUh0PWSJIeCNAhKhIRA10uSHArSICgREgJdL0lyKEiDoERICHS9JMmhIA2CEiEh0PWSJIeCNAhKhIRA10uSHArSICgREgJdL0lyKEiDoERICHS9JMmhIA2CEiEh0PWSJIeCNAhKhIRA10uSHArSICgREgJdL0lyKEiDoERIYwuUEEIcg0AJIaQwCJQQQgqDQAkhpDAIlBBCCoNACSGkMAiUEEIKg0AJIaQwCJQQQgoznECfHzb5NufGJqTd7d/1ID21mCmNetzc9vanHqRtnqynSpB+/+Fhn29+aUx6efn8rsfmO03UZ6h+J6rJ5ntJHdMmM40m0Mf9FnrdePLGJqRNfvveWqAp0oayy9c/dkPZTnVzTTa+sd3E92aydY3n5msm0NT3f4TZ7r4UafevT4tHCtfHtMlCjSbQp90537Q+3UPJG5uQXvZH01Y1KdJmB283r/FMt1DbPbX50vvGpCPO9rQkSZ/f2T5Ku016bLFQ93b0k63WfE/U9jS93z02NH5Qcn1Mm8w0mkCP/6xsanh//8YmpJfDv5imi50kPR9OielM91GPll67vSZPxg830qRn+4c0adLxyrOl1u7t6M1tltvP+UQd/zV4Nn5geH1Mm8z0MppATz1PT3vyxiak3dOAf/k3W4EmSY+Hfyc3j9cMTXADtb/8ZPlP8801+e37t/9uKrc06cn859Q3SE/nhbIj3tvRj7aPoJKoz+/2Wms+1Gl7by5Yai1xTJtY4mU0gZ52z9PkX6zkjU1Iu3/+TXfVLdJplU2X+25TpgK9SXp8eG+7g9OkR+OfHd8iWW+G26RDnm1/0pJGNRFoinT+QaXppkgd0yaWeBlMoOfHY5NnTMkbm5A2K/Ovv1ifmfvfvukrVndRpo91b5K2T61Nz0qatHmc+3++N/5ZQZK0WR9Tn90mnb5k+gD0Vn32T3dn6jN9YJ04pk0ssc1oAj2Ucvw38taNTUiXX2pNejFe7Xuow0tJjUm/fb+5Zi3QBOn42m7zmbYXdy9ZG6v61jpZPwC9gdq/4LLRm53V7p9d638Yro5pE0tsM5RAz4/HJi0kb2xC2sdYoHe/fdMtfAf1bPzemFukx+3NTV6tek16Poxj+bgmSXp+ePu/31m/4+fOljD+CehN1LP5m4vSpOPz6WfrN7deHtMmlthmWIGe/iVO3tiEtE9DgV5++5uvWf685jbquaECXr3gvz0lzQR6Jh3PpeVrE0nS86E30wfwt9fJ+iXkW6gG7wNNkzaXtwzrf8Bf7grUtMNhBbqCR6CbL5n+Y3m/qUdDWJr0+w+7yx0egZ5iyLrxCPQgTssfVt+eyfgFkFuow8bbarTJvz+ToQ4Pdb/5fzwC7ZB1/Qz08CbjHqjDV81kkyYdPsPZ4Wegpxi+tSBJOr8DybA4nAAAB8hJREFUvDXp8AXjt7feWqjTW36aD7X7zNh3tu8Bec27i6/OaAI9vZQ2fSfJ9Y1NSKcvtXoV/vJDbsbvxZlpylYB16TP7/YXm70K7zLT8d+41qRt7F/zv3WimjwkubdQxu/OTAnU3hLbDCXQ6Zu5zts1eWMT0i4N3wf6+sOI1v6ca6p1fU/nD3N3WaibNxqSzkrrsfmsP69zA3V+umtp7LsLZf9+2jvvAzV9rDuWQN0/ifRiv9Zp0saf9r+i5saHQU5PQtvW10ag92d67PVRmi6bz/x57txQlk93b3yQ61tz0D6Xx5RPIm3j/1l4e4HemqnBr/i68XFk+5dB7q6J7Q6+MdPeNLv3nTYlHd+oa/rs+lZ75s9zZ7bEBmj/3oKL+o4/1rH+p+HymPJZ+F38fxuT/bONFMn4V+7cQ2121vZYGr+V+c6aGGsgRTr8yjzjF13u/C6rLu01+dzojS1xeL+EJfAG6ZtfbF/uP+SqLH4b0y7TX+p32rXNfyXj9HzYb+Nr0unXWVr/psTUUMeP7fSpz/5xVIr03KK8JOm4VB3aa/K50btbwvqn/bdJ5oNdf8iJ3we6y+TXSp/PZevfn91WoNek0wY2Hys51GOLLXyjvgZPRFOk/VvBu8z0bG6aG6Q2Ak0P9dTANbcXqsEvb018SpTfSE8IIZGCQAkhpDAIlBBCCoNACSGkMAiUEEIKg0AJIaQwCJQQQgqDQAkhpDAIlBBCCoNACSGkMAiUEEIKg0CJRT6+Oeef/nbzj/39j2++uLzt1/95cf99vkzc/dc/v/nn/zT8rm/l9XdzD7n75l/+8Zd7QxPhIFBikdfK+cNfb/yxhEA/7FQZWaBvrqV/zP6bR6DrDQIlFrlUzlfpP3Yt0E9vBhBo8pt5OX3zCHS9QaDEIh8nkvlw+zHoTYEesjHkPRN1FOj5m/p0+6cSn26qlawkCJRY5JVyNpq8IboRBbql3vAkAl19ECixyGvlfLr1JH5IgW6vpn8KikBXHwRKLHKhnA9n5Xya/kx0J9DtI7rDlz9d/Mj0SqCfLr+8E+j+Z44fL14i/5S6frzv/q4fTz9d+Pj6J7WvORfTfDpP82HyItn5m5/8DPT1X0TUg0CJRa6VszfK9tn8LqerXxxu2kloRqA71Z7v/Uqg//HH1/f9+8X1i/tu7/p//3J8Sej4xS8u7nvg3Prn4Pzi0vbbSAj08hsm6kGgxCIXytmIZCfIk5kOStlc/29Hx2z/wH2BnnQ0teBBoOfsHw6e/+zl9f19t3f9H8c/8b9O99+BL7/Li2m2X/7ycPMpX6YEevUNE/UgUGKRC4FuDffV/j+nR5rbB3E7VR0fve0e1d37GeiHN+f3OH1x+PJEoF8dvvTl8c9+tVfYF6n77ty2/bv3ktte2n4zX7wkvsvX03ycOHh/8/bC7vu4fBvT1TdM1INAiUXSAv10+pnk4SHp0Vm7S0dp3RLo8Y+cL00Fen62/cX575+CXt/3JL2dJk+XDjJ//V1evw/0q8MfPz/l3+EvBHr9DRP1IFBikbRAP5w1snfNRCwf9ve4I9DJi9+Hv34q0MO9Nn/jQYJfnP7oV4n7bgX61ZFx+B4OtKvvcvZjAcdv80Kg198wUQ8CJRZJCnT6rqP9G5gOutvmoLw7Av1wNtfh7U8TgR6dd/gbP15Y7uq+57/58tL1d3kh0Et97n6AkBLo9TdM1INAiUWuBbox3OQ1lTf7580Trxwu3hboxJJHTd4W6IfXT5mv73tXoBff5Xmajxf+/HT6YwmBJr5hoh4ESiySfBV+8up2UqCH5963BXq6fDDnEoFe3Pe2QK+/y8k05x/avrx6tf6GQC+/YaIeBEoscv0+0L0uLywS8RFo4sHiZJpPb06Xjw9V/+lv6Z+B8gh0hUGgxCLJt55ffzCz9Gegn96U/wz005vZn4FevmlzOs35WfzHN5d/xe2fgX7ifUzrCAIlFrn6LPxWcIfX4ic5vv/n5WSbvFfhP1y9Cn8h0FdvMfoicd/bAr3+Ll9Nc3rL1AT6Kf0i0vU3TNSDQIlFrn4b0/EN6ZPPiH85/ZHipYP2yX8f6IVAz3/2w8X7pc7vA70h0OvvMj3NGbp9Ls/7QMk2CJRYZKKc3bt8Jp+n3D26+/Dm9Eb60xuFjp9Emvyw8PYnkXZ/6LZAj59E2v736kNBhx+f3hLo1Xd58Xj648VfvXuT0/FTAJNfbpL4hol6ECixyMVbzyfPdU/ZmmX6WfjpbxtZ/ln4S4FO/uyXqfveEejVd3kh0OOT+Okfm37Un8/CrzgIlFjktUBfPQ2fmmny25gOf2b/sfajrvJ/G9OlQM9/9svkfe8J9PK7vHxJ7Pgk/sPxT/33w49Nj988v41ptUGgxCJTgb5+8rr/yvQVnp1lXr1Ic3rtJf/3gV4J9PBnJ3e//H2gtwV68V1efRDz+CR+L9ovz69ZHb55fh/oaoNACSGkMAiUEEIKg0AJIaQwCJQQQgqDQAkhpDAIlBBCCoNACSGkMAiUEEIKg0AJIaQwCJQQQgqDQAkhpDAIlBBCCoNACSGkMAiUEEIKg0AJIaQwCJQQQgqDQAkhpDAIlBBCCoNACSGkMAiUEEIKg0AJIaQwCJQQQgqDQAkhpDAIlBBCCoNACSGkMAiUEEIKg0AJIaQwCJQQQgrz/wGXe8NaE0mc2gAAAABJRU5ErkJggg==" title alt width="672" /></p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   0.140   0.220   0.276   0.320  10.010    8554</code></pre>
+<pre><code>## [1] 272</code></pre>
+<p>There are 272 outliers with debt/income ratio = 1001%. However, most borrowers have debt to income ratio smaller than 0.5. The most occurrence is around 0.1 to 0.25.</p>
+</div>
+<div id="credit-history" class="section level5">
+<h5>4. Credit history</h5>
+<p><strong>Current Deliquencies</strong>: Number of accounts delinquent at the time the credit profile was pulled.</p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##  0.0000  0.0000  0.0000  0.5921  0.0000 83.0000     697</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>87.7% Prosper Borrowers (100,000) have no current delinquenct accounts at the time they created the listing.</p>
+<p><strong>Inquiries Last 6 Months</strong>: Number of inquiries in the past six months at the time the credit profile was pulled. Inquiries are the number of times borrowers attempted to borrow money in the past six months</p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   0.000   1.000   1.435   2.000 105.000     697</code></pre>
+<p><img 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" 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+<p><strong>Bank card utilization</strong>: The percentage of available revolving credit that is utilized at the time the credit profile was pulled.</p>
+<p><img 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" 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" title alt width="672" /></p>
+<p>There are nearly 7000 borrowers with 0 bank card utilization. However, among 99,551 (87.4%) borrowers who use their credit cards, there are 63% have the bank card utilization more than 50%. There are 1744 borrowers whose bank card utilization larger than 100%.</p>
+</div>
+<div id="prior-prosper-loan-performance" class="section level5">
+<h5>6.Prior Prosper Loan Performance</h5>
+<pre><code>## [1] 22084</code></pre>
+<pre><code>## [1] 0.1938264</code></pre>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## Source: local data frame [10 x 2]
+## 
+##    TotalProsperLoans     n
+##                (int) (int)
+## 1                  0     1
+## 2                  1 15538
+## 3                  2  4540
+## 4                  3  1447
+## 5                  4   417
+## 6                  5   104
+## 7                  6    29
+## 8                  7     8
+## 9                  8     1
+## 10                NA 91852</code></pre>
+<p>There are 22084 borrowers have prior prosper loans, which account for 19%. Among them, 70% have only 1 prior prosper loans</p>
+<pre><code>## Source: local data frame [3 x 2]
+## 
+##   prior.prosper.performance &lt; 1     n
+##                           (lgl) (int)
+## 1                         FALSE 18214
+## 2                          TRUE  3806
+## 3                            NA 91917</code></pre>
+<pre><code>## 
+##     FALSE      TRUE 
+## 0.8271571 0.1728429</code></pre>
+<p>Among 22084 borrowers who have prior prosper loans, there are 18214 borrowers pay on time (82.7%), 3806 (17.3%) borrowers have overdue</p>
+</div>
+</div>
+</div>
+<div id="c.-loan-activity" class="section level3">
+<h3>C. Loan Activity</h3>
+<div id="i.-loans-actual-performance" class="section level4">
+<h4>I. Loans actual performance</h4>
+<p>Loan status</p>
+<p><img 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" title alt width="672" /></p>
+<p>There are over 56576 Current loans (50%), over 38074 completed loans (35%) . 19077 loans have delinquent which account for 16,7% consisting of: 2067 cases deliquent from 1 to 120 days past-due, 5018 default (121+ days past due) and 11992 Chargeoff loans (150+ days past dues, no expectation of sufficient payment)</p>
+<pre><code>## [1] 16902</code></pre>
+<pre><code>## [1] 0.1483451</code></pre>
+<p>Number of Gross principal Loss cases: 16902 account for 14%</p>
+</div>
+<div id="ii.-borrower-rate-interest" class="section level4">
+<h4>II. Borrower rate (Interest)</h4>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##  0.0000  0.1340  0.1840  0.1928  0.2500  0.4975</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>Mean interest rate is 19.28%. Haft of the rate is about 13.4% to 25%. The distribution is quite bimodal, which two modes of frequent interest rate: from 14-16% to 31-32%, which is pretty high.</p>
+<p>Do the borrower rate diffirent with different original loan quarter? To discover this, I’ll graph the mean of borrower rate against loan origination quarter and year</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+<div id="iii.-borrower-apr" class="section level4">
+<h4>III. Borrower APR</h4>
+<p>Borrower APR is the Borrower’s Annual Percentage Rate (APR) for the loan. APR refers to the total cost of borrowing, as the calculation for APR includes not only the interest rate, but also many other fees the borrower might be charged. So APR is seen as the “effective interest rate,” a way for borrowers to compare one loan to another.</p>
+<p><img 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" title alt width="672" /></p>
+<p>The Borrower APR distribution looks similar to that of borrower rate, although the histogram shifts rightward, indicating that the APR is generally larger than interest rate. But how large is the difference?</p>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   1.900   2.502   2.604   3.653  14.930      25</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>As the APR is equal to interest rate plus fees. The most common fees are around 0.5-1%, 2-3% and 3.5-4%. What cause the difference in fees?</p>
+</div>
+<div id="iv.-investors" class="section level4">
+<h4>IV. Investors</h4>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    2.00   44.00   80.48  115.00 1189.00</code></pre>
+<p><img 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" title alt width="672" /></p>
+<p>75% of loans have less than 115 investors. There are outliers, however, some loans have more than 1000 investors. I wonder what make these loans so attractive. The distribution of investor counts is right-skewed. To make it normal, I’ll transform it to log10 to reduce skewness</p>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## Source: local data frame [2 x 2]
+## 
+##   Investors == 1     n
+##            (lgl) (int)
+## 1          FALSE 86123
+## 2           TRUE 27814</code></pre>
+<p>There are over 27000 loans with only 1 investors, I will cut that out of the histogram to have a better feel of investor distribution</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+</div>
+</div>
+<div id="univariate-analysis" class="section level1">
+<h1>Univariate Analysis</h1>
+<div id="what-is-the-structure-of-your-dataset" class="section level3">
+<h3>What is the structure of your dataset?</h3>
+<p>This data set contains 113,937 loans with 81 variables on each loan. The variables can be classified into 3 categories: 1. Listing summary: the summary of information about the loan application based on which lenders can make investing decisions (prosper rating, loan term, loan amount, loan purpose and estimated performance of a loan such as estimated effective yield, estimated lender yield, estimated loss rate and estimated return rate) 2. Borrower’s information: borrowers’ geography, employment status and status duration, prosper score, borrower’s credit history such as credit score, prosper score, number of credit lines and current/past delinquencies… 3. The loan activity: the status of loans, number of investors, the borrower rate/APR and the loans’ performance</p>
+</div>
+<div id="what-isare-the-main-features-of-interest-in-your-dataset" class="section level3">
+<h3>What is/are the main feature(s) of interest in your dataset?</h3>
+<ul>
+<li>The number of investors participate in a loan</li>
+<li>The interest rate (borrower rate) and APR of the loan</li>
+<li>The underperformed loans (charge-off loans)</li>
+</ul>
+</div>
+<div id="what-other-features-in-the-dataset-do-you-think-will-help-support-your-investigation-into-your-features-of-interest" class="section level3">
+<h3>What other features in the dataset do you think will help support your investigation into your feature(s) of interest?</h3>
+<ul>
+<li>What factors deciding the borrower rate and APR of a loan: prosper rating, estimated loss rate and loan term…</li>
+<li>What attract investors to a loan: I suspect that investor may look at prosper rating, lender yield, return yield, employment status, debt to income ratio, credit rating… to decide whether a loan is rewarding</li>
+<li>Common features of underperfomed loans: prosper rating, debt to income ratio, delinquencies history, proser loan history or public record…</li>
+</ul>
+</div>
+<div id="did-you-create-any-new-variables-from-existing-variables-in-the-dataset" class="section level3">
+<h3>Did you create any new variables from existing variables in the dataset?</h3>
+<p>I created several new variables - difference.in.rate: show the difference between borrower APR and borrower rate - duration.by.bucket: join the duration of employment status duration into different intervals - rate.vs.time: group the dataset by quarter and year to compare the borrower’s rate - CreditRange: a range of lower and upper Credit Score - prior.prosper.performance: the performance of the prior prosper loan, which represent the ratio of on time payment on total billed payments. - CurrentDelinquence.bucket, Delinquence7year.bucket, Inquiries6month.bucket</p>
+</div>
+<div id="of-the-features-you-investigated-were-there-any-unusual-distributions-did-you-perform-any-operations-on-the-data-to-tidy-adjust-or-change-the-form-of-the-data-if-so-why-did-you-do-this" class="section level3">
+<h3>Of the features you investigated, were there any unusual distributions? Did you perform any operations on the data to tidy, adjust, or change the form of the data? If so, why did you do this?</h3>
+<p>The investor distribution is right-skewed. So I take the log10 of the number of investors to create a more normal distribution. I hope to build a regression model for this variable later.</p>
+</div>
+</div>
+<div id="bivariate-and-multivariate-plots-section" class="section level1">
+<h1>Bivariate and Multivariate Plots Section</h1>
+<div id="i.-prosper-rating-estimated-loss-rate" class="section level2">
+<h2>I. Prosper Rating &amp; Estimated Loss Rate</h2>
+<p>Prosper Rating represents an estimated average annualized loss rate range to the investor. The estimated loss rate is based on the historical performance of Prosper loans with similar characteristics.</p>
+<p><img 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" 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" title alt width="672" /></p>
+<p>Prosper Rating vs. Estimated Avg. Annual Loss Rate</p>
+<ul>
+<li>AA 0.00 - 1.99%</li>
+<li>A 2.00 - 3.99%</li>
+<li>B 4.00 - 5.99%</li>
+<li>C 6.00 - 8.99%</li>
+<li>D 9.00 - 11.99%</li>
+<li>E 12.00 - 14.99%</li>
+<li>HR &gt; 15.00%</li>
+</ul>
+</div>
+<div id="estimated-loss-by-prosper-score-and-credit-range" class="section level2">
+<h2>Estimated Loss by Prosper Score and Credit Range</h2>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Higher credit score, lower estimated loss. Estimated loss’ means drops with the increase in credit range. The same phenomenon can be observed in the effect of Prosper Score on Estimated loss</p>
+<p><img 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" 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" title alt width="672" /></p>
+<p>Clearly, mean estimated loss goes down with the increase in Prosper Rating and Credit Range, which shows a strong negative linear relationship.</p>
+</div>
+<div id="prosper-score-1" class="section level2">
+<h2>Prosper Score</h2>
+<p>The Prosper score estimates the probability of a loan going “bad,” where “bad” is the probability of going 60+ days past due within the first twelve months from the date of loan origination. Applicants from April, 2008 through April, 2011 were used to build the discrete additive scorecard. The scorecard was verified and results validated on an independent validation sample of loans booked during the same time period as well as a more recent sample of loans booked outside of the loan development period.</p>
+<p>Key variables in the scorecard are: - Number of inquiries on the credit bureau: InquiriesLast6Months - Number of delinquent accounts on the credit bureau: CurrentDelinquencies - Credit card utilization on the credit bureau: BankcardUtilization - Number of recently opened trades on the credit bureau: TradesOpenedLast6Months - Debt to income ratio: DebtToIncomeRatio - Loan payment performance on prior Prosper loans</p>
+<p><img 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" 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" 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qAsCME8FPNQzEMRUBaEYB6KeSjmoQgoC0IwD8U8FPNQBJQFIZiHYh6KeSgCyoIQzEMxD8U8FAFlQQjmoZiHYh6KgLIgBPNQzEMxD0VAWRCCeSjmoZiHIqBlLIjUl/FFLl5ZSIXsFzMCWsKCSL0pkY9XllIR+2UEAlrCguAHq/U1nUj9j1gpAjoSAS1hQdCLPgI6jICOREBLWBD0oo+ADiOgIxHQEhYEvegjoMMI6EgEtIQFQS/6COgwAjoSAS1hQdCLPgI6jICOREBLWBD0oo+ADiOgIxHQEhYEvegjoMMI6EgEtIQFQS/6COgwAjoSAS1hQdCLPgI6jICOREBLWBD0oo+ADiOgIxHQEhYEvegjoMMI6EgEtIQFQS/6COgwAjoSAS1hQdCLPgI6jICOREBLWBD0oo+ADiOgIxHQEhYEvegjoMMI6EgEtIQFQS/6COgwAjoSAS1hQdCLPgI6jICOREBLWBD0oo+ADiOgI2UW0Kdd5cPAB2MOwB8BjYWADiOgI2UV0O+fd413X4IfjjkAfwQ0FgI6jICOlFVAH3a7jy8vz9e7n7+GPhxzAP4IaCwEdBgBHSmngH67qfvZFPRT6OMxB+CPgMZCQIcR0JFyCujz9f6xe/VI/mPo4zEH4I+AxkJAhxHQkQhoCQuCXvQR0GEEdKScAspD+KnoRR8BHUZAR8opoO2LSFVHuxeRdj3TvujbInh9C7aAgQxLvEwztOi3w/s80Kd9KXsnghJQG5/5bwMDGZZ4mWZo0W8H54Ha8RA+luXXfb54CD9STg/hq8fudTrrjPIc6Cj0oo+ADiOgI+UU0Ifd+1+a39yFz6SPOQB/BDQWAjqMgI6UUUC7s5cO5zOdiDkAfwQ0FgI6jICOlFFAD2cxNb8LPYaPOQB/BDQWAjqMgI6UUUCre6Dty+/cAx2JXvQR0GEEdKSMAtp/DrT9jYo5AH8ENBYCOoyAjpRTQNtX4at+8lbOcehFHwEdRkBHyimg9Xs494L9JKCD6EUfAR1GQEfKKqDNmzl34cfvLwR0GL3oI6DDCOhImQX0opgD8EdAYyGgwwjoSAS0hAVBL/oI6DACOhIBLWFB0Is+AjqMgI5EQEtYEPSij4AOI6AjEdASFgS96COgwwjoSAS0hAVBL/oI6DACOhIBLWFB0Is+AjqMgI5EQEtYEPSij4AOI6AjEdASFgS96COgwwjoSAS0hAVBL/oI6DACOhIBLWFB0Is+AjqMgI5EQEtYEPSij4AOI6AjEdASFgS96COgwwjoSAS0hAVBL/oI6DACOhIBLWFB0Is+AjqMgI5EQEtYEG8Bo1eWUhH7ZQQCWsKCSL0pkY9XllIR+2UEAsqCEMxDMQ/FPBQBZUEI5qGYh2IeioCyIATzUMxDMQ9FQFkQgnko5qGYhyKgLAjBPBTzUMxDEVAWhGAeinko5qEIKAtCMA/FPBTzUASUBSGYh2IeinkoAsqCEMxDMQ/FPBQBZUEI5qGYh2IeioCyIATzUMxDMQ9FQFkQgnko5qGYhyKgLAjBPBTzUMxDEVAWhGAeinko5qEIKAtCMA/FPBTzUASUBSGYh2IeinkoAsqCqKW+jC9KN3bFElB3MQfgL+WCSL15gLFrloC6izkAf2kDGvUbhZ6mHqn/EckR0CACakdAy0RAawQ0iIDaEdAyEdAaAQ0yB/T3n66u/vC3l/s//TrxG1CLOQB/BLRMBLRGQIOMAa3zuQ/o1dWfJ38PCOhk7OB0CGiNgAbZArrvZx3Q26s5BY05AH8EtEwEtEZAg0wB/ddfr67+9OtvP1QBrQv6x39O/SbEHIA/AlomAlojoEGmgD5eXf348rIPaP0g/sep34SYA/BHQMtEQGsENMgU0Nur+qWjNqDV3dHJLyTFHIA/AlomAlojoEGWgFbJrO9ztgGt7oJOfgwfcwD+CGiZCGiNgAZZAvr7T83rRoeAPhLQ+NjB6RDQGgENIqB2BLRMBLRGQIMmPIS/5TnQ+NjB6RDQGgENMr6IVN/nbANa3R99M/WbEHMA/ghomQhojYAGWU9jenMIaH1O6OQz6WMOwB8BLRMBrRHQINs7kZqz55uA3l9dTX8ET0AnYwenQ0BrBDRo1Fs596a/EYmATsYOToeA1ghokPFiIvUD9/n9JKCTsYPTIaA1Ahpkvpxdm9A5+SSg07GD0yGgNQIa5HpB5e+fd0c/fw18QswB+COgZSKgNQIaZDuNyXi/k4Auhh2cDgGtEdAg44n0I194f9i9+xL685gD8EdAy0RAawQ0yPhWznGnzj9f7z4GPxBzAP4IaJkIaI2ABi1yD/Qu/ACegE7HDk6HgNYIaJD1nUhj3nz0tNt9Cn8k5gD8EdAyEdAaAQ2yvQr/2w8j7oN+/zx0B5SATsYOToeA1ghokPE5UHX5RfmTO6C7HuM/6sRbvGUHp8P4a4mX/wyLjmWBgJ48A0pAfUybHeZj/LXEy3+GRcfiH9Dn66FnQHkIPx07OJ3ld2EOeAgf5PpOpMbD7v0vQx+LOQB/BLRMBLRGQIPcA/r98+7D4AdjDsAfAS0TAa0R0CD3gH67GX4ET0AnYwenQ0BrBDTIHND2idBX3xX/dOERPAGdjB2cDgGtEdAgY0B7ryO9ktCHwZNAXwjodOzgdAhojYAGTbgi/f5ncw65u/AUKAGdjB2cDgGtEdAgU0Cbiynv38z5+MrPRPr+eeA6Io2YA/BHQMtEQGsENMj6XvhjNF/5qZwXX0MioJOxg9MhoDUCGjTi58K3Ll/cjoAugx2cDgGtEdAg4+Xsfuz95/30n2sccwD+CGiZCGiNgAYZ38rZf9D+OP0ny8UcgD8CWiYCWiOgQQTUjoCWiYDWCGgQD+HtCGiZCGiNgAZ5v4h0WcwB+COgZSKgNQIa5H0a02UxB+CPgJaJgNYIaJD3ifSXxRyAPwJaJgJaI6BBE97KOfklJAI6HTs4HQJaI6BB7hcTuSjmAPwR0DIR0BoBDXK/nN1FMQfgj4CWiYDWCGiQ/4/0uCTmAPwR0DIR0BoBDSKgdgS0TAS0RkCDrAG9378K//tPsx7DxxyAPwJaJgJaI6BB9lfhm4D+9sPV9NPoCeh07OB0CGiNgAbZzwNt3s1ZnwY6o6AxB+CPgJaJgNYIaJApoPe9n+Nxf8U7kRJ4CyQ2ds0S0FZ1B7T3zGf1KJ73wkeXevMAY9csAW39/hNXY6rlvSD8MQ/FPFTe8zAmjeuB2uW9IPwxD8U8VN7zMCaNgNrlvSD8MQ/FPFTe8zAmzfgcaP9B+y0P4ZNiHop5KOah0ge0fuW9exL08UqeER0l5gD85b0g/DEPxTxU3vMwJs0U0Po8+vY8pvq309+MFHMA/vJeEP6Yh2IeKu95eAZ0f/780eTTQAmoB+ahmIdiHmoNAW3ewtk6nlI/QcwB+Mt7QfhjHop5qLznYUza2OuBzsknAXXBPBTzUMxDrSSgLmIOwF/eC8If81DMQ+U9D2PSCKhd3gvCH/NQzEPlPQ9j0gioXd4Lwh/zUMxD5T0PY9LGBLR5GnTG1UAJqAvmoZiHYh4qeUAP7zx6nH0WEwH1wDwU81DMQyUO6OPhR3F2ZzJxHmhSzEMxD8U8VNqAPh5+lnF9Vfrq1/qXyW+FJ6AemIdiHop5qKQB7d65Wd0Bbc4BrQvKFelTYh6KeSjmoZIG9PH4qtH94XdckT4xh3mkvrY5tuh0leW9X3wCent461F1x7P7HZezS2n2PFJvNGzT6TrLe7+4BLSLZXW/83ARplsuqJyUQ0AnfvvwmiYkqf8RaRDQgN9/Ojxc7x7LE9DECOh6EdCevPeL8WZbA3rbvXREQNMioOtFQHvy3i/Gm/1qQPcP4bunQLs/myDmAPzlvSA6pW7xCAhoT977xXizX30O9HgS06GavAqfGAFdLwLak/d+Md7sV16Fv28fud92Pwjplp+JlBYBXS8C2pP3fjHe7FcCWr9/88/NS0iHR/D3/EykxAjoehHQnrz3i/Fmv/ZWztvDG+D39zqbCzJNvgNKQD0Q0PUioD157xfjzX71YiJtQZtnQPfXE5lxQbuYA/CX94LolLrFIyCgPXnvF+PNfv1ydk01/9z9ds4FQWMOwF/eC6JT6haPgID25L1fjDd71BXp57wA34g5AH95L4hOqVs8AgLak/d+Md5sfqSHXd4LolPqFo+AgPbkvV+MN9sU0Nvpr7urmAPwl/eC6JS6xSMgoD157xfjzbYEdM71l1TMAfjLe0F0St3iERDQnrz3i/FmWwLavSN+rpgD8Jf3guiUusUjIKA9ee8X483mHqhd3guiU+oWj4CA9uS9X4w32/Qc6OOsH8XZE3MA/vJeEJ1St3gEBLQn7/1ivNm2V+F71xKZJeYA/OW9IDqlbvEICGhP3vvFeLONz4GqSy/KP1/vdrsPAx+MOQB/eS+ITqlbPAIC2pP3fjHebO+A3u0a738JfjTmAPzlvSA6pW7xCAhoT977xXiznQN6t3v3pbkX+vPX0IdjDsBf3guiU+oWj4CA9uS9X4w32/edSFU5P9W/PjUdPRdzAP7yXhCdUrd4BAS0J+/9YrzZvgF9aO95fv+8+xj6eMwB+Mt7QXRK3eIRENCevPeL8Wa7BnSom0cxB+Av7wXRKXWLR0BAe/LeL8abbQ5o/UToH/72cn/pdKZvN/tH8INiDsBf3guiU+oWj4CA9uS9X4w32xjQ/etIdUAvnVP/fP3uS3UvVE9j2vUY/1En3sLZtO8DXlXwdBMv6QsWvdm2gLavw1cBvb26UNCn3fv/dd2UsvcaEgFdn2nfB7yq4OkmXtIXLHqzTQH911/rn+nx2w/1D5a7vXAW01ObzupeaPhE0Jh3wf3l/ZCkU+oWj2D5DbtaPIQf9tj8ILl9QOsH8UM/Ve7pcAb9txtehV8MAV0vAtqT934x3mzbBZWbd8K3Ab1wbaYqoG03H8Jn0sccgL+8F0Sn1C0eAQHtyXu/GG+28XJ29X3ONqDVXdChx/CH8+gJ6JII6HoR0J6894vxZhvfylm/bnQI6ONgQLvTmAjocgjoehHQnrz3i/Fmuwb0++fDCUx34QsyxRyAv7wXRKfULR4BAe3Je78Yb/aEh/C3w9cGPbwHfuiM+pgD8Jf3guiUusUjIKA9ee8X4802vohU3+dsA3rpJyS15y9Vv3A1psUQ0PUioD157xfjzbaexvTmEND6nNDh9yJVdz25HujCCOh6EdCevPeL8Wbb3onUnD3fBPT+6uryT/eoT6YfvKRIzAH4y3tBdErd4hEQ0J6894vxZo96K+frP9DjFTEH4C/vBdEpdYtHQEB78t4vxpttvJhI/cB9fj8JqAcCul4EtCfv/WK82ebL2bUJnZNPAuqCgK4XAe3Je78Yb7bvFelfE3MA/vJeEJ1St3gEBLQn7/1ivNkE1C7vBdEpdYtHQEB78t4vxptNQO3yXhCdUrd4BAS0J+/9YrzZ5oD+9kPzHOjFU5heFXMA/vJeEJ1St3gEBLQn7/1ivNnGgD66nMVEQD0Q0PUioD157xfjzbYF9L53GujV/h3xk8QcgL+8F0Sn1C0eAQHtyXu/GG+2KaD1w/f2jmfvtxPEHIC/vBdEp9QtHgEB7cl7vxhvtvFiIr23v1/4kR6vijkAf3kviE6pWzwCAtqT934x3mzj9UD7ybxwObvXxByAv7wXRKfULR4BAe3Je78Yb7YtoPK05/AFlV8VcwD+8l4QnVK3eAQEtCfv/WK82QTULu8F0Sl1i0dAQHvy3i/Gm218DvTN4H+NEnMA/vJeEJ1St3gEBLQn7/1ivNnWV+G7J0EfL11Q+RUxB+Av7wXRKXWLR0BAe/LeL8abbTsPtCpo+yi+vjLo5BfhCagHh4AC/k7XWd77xZg046vwIROeCY05AH95L4hO6o2GbTpdZ3nvFwLqLu8F4Y95KOah8p4HAXWX94LwxzwU81B5z8MxoH5iDsBf3gvCH/NQzEPlPQ9j0gioXd4Lwh/zUMxD5T0PY9IIqF3eC8If81DMQ+U9D2PSxgW0vhbTnEsqxxyAv7wXhD/moZiHynsexqQZA/r7T3U391el53qgaTEPxTwU81BrCOhj85r74YfDcz3QpJiHYh6KeagVBLS+51nd76x+qdrJ9UATYx6KeSjmoVYQ0KqZb16Ol1LmYiJpMQ/FPBTzUOkDWj10r58BrX5pnv7kcnZpMQ/FPBTzUOkD+vtPzfWXql+achLQtJiHYh6KeajVBPRx/0CegCbGPBTzUMxDrSaghx8td8/PREqKeSjmoZiHSh/Qf/21fvHo8BRolVNeREqJeSjmoRDz2aEAAB3QSURBVJiHSh/Q6r5nlc77/ZuQ6lOauCJ9SsxDMQ/FPNQKArp/B1ITzupx/Iw3c8YcgL+8F8R4qS/Qi+2KtIRrKwhofe+zDef9nDciEVAPkeaReothy6Is4b01BLR+Bf7wEvzkx+8vBNRFtIDO+EbDVdOc1P8IR+UF1EnMAfgjoEiDgM5AQAmoIKDFIaAzrCSg7Q9GmvEE6AsBdUFAi0NAZ1hFQHs/V25OQmMOwB8BRRoEdIY1BFR+LicXVE6LgBaHgM6wgoA2V1Lev/r+yHmgqRHQ4hDQGVYQ0MdeNOuY8k6klAhocQjoDCsI6G3/iU/eC58YAS0OAZ0hfUD3FxM54mpMaRHQ4hDQGdIHtL2c3QHXA02LgBaHgM5AQAmoIKDFIaAzpA8oD+H3CCjSIKAzpA8oLyLtEVCkQUBnWEFAOY2pQUCRBgGdYQUB5UT6BgFFGgR0hhUEVN/KyQWV0yKgxSGgM6whoFxMpEZAkQYBnWEVAbVezu77593ez19DH445AH8EFGkQ0BlWElCbbzcEdGkEtDgEdIYVBPTW/LD9+TpczlbMAfgjoEiDgM6QPqD/+qv5hfen3YdLH445AH8EFGkQ0BnSB3TEqfMPu4+XPhxzAP4IKNIgoDOkD+iIe6B3775c+nDMAfgjoEiDgM6QPqD12fO2Nx99u3n/H/XLSEOP42MOwB8BRRoEdIYVBPTltx9s90Gfr9sX4d//cvyzXY/xH3XiLZKY9t2Cv619Oza0jo3PgarBF+Wf2vOX7nqnMRHQXE37bsHf1r4dG1rHvgF9aO96fv+8+xT6eMy74P54CI80thfQKEt4L/1DeHtAj+7CT4PGHIA/Aoo0COgM6QM6wUP4rUgxB+CPgCINAjoDASWggoAWh4DOQEAJqCCgxSGgM6QO6G8/1E97/vjq5700rx21b0S6C78jKeYA/BFQpEFAZ0gb0OZi9LU//M3w1Q53PL/dhN+RFHMA/ggo0iCgM6QN6O3xpXdLQZ+vm1ffq3ui4fcixRyAPwKKNAjoDEkDWv8IpPpCIvWZTJb3Ij21Z8wPvJcz5gD8EVCkQUBnSBrQ28O74KuH8qYH8ftL0gfPon8hoC4IaHEI6AwpA9q7DtP9jJ9mfBRzAP4IKNIgoDOkDGjvSqC//WB7Jf6imAPwR0CRBgGdYSUBHXFV5WExB+CPgCINAjoDASWggoAWh4DOQEAJqCCgxSGgMxBQAioIaHEI6AwElIAKAlocAjoDASWggoAWh4DOQEAJqCCgxSGgMyQOaMjrV6QfEHMA/ggo0iCgMxBQAioIaHEI6AwElIAKAlocAjpD6gsqe4o5AH8EFGkQ0BkIKAEVBLQ4BHQGAkpABQEtDgGdgYASUEFAi0NAZyCgBFRECyiwlChLeI+AElBBQJG9KEt4j4ASUME8FPNQzEMRUBaEYB6KeSjmoQgoC0IwD8U8FPNQBJQFIZiHYh6KeSgCyoIQzEMxD8U8FAFlQQjmoZiHYh6KgLIgBPNQzEMxD0VAWRCCeSjmoZiHIqAsCME8FPNQzEMRUBaEYB6KeSjmoQgoC0IwD8U8FPNQBJQFIZiHYh6KeSgCyoIQzEMxD8U8FAFlQQjmoZiHYh6KgLIgBPNQzEMxD0VAWRCCeSjmoZiHIqAsCOEwj9SX00XpHPaBFQEloGL2PFJvHsBlJ9gQUAIqHAIa9ZuOMZq8pP5HLI2AThRzAP4IKBZHQL0RUAIqCOiWEVBvBJSACgK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvBJSACgK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvBJSACgK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvBJSACgK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvGQb0Yfch/IGYA/BHQLE4Auotv4A+XxPQBRHQLSOg3rIL6PfPOwK6IAK6ZQTUW3YBfdgR0CUR0C0joN5yC+i3m/f/k4AuiIBuGQH1lltA73af7gjoggjolhFQb5kF9KmKJwFdEgHdMgLqLa+Afrt590UDuuuZ9jXfwpnP9xoLKOL7s6HV7h3Qu93HFwK6dj7fayygiO/Phla7c0Cfdj9/feEh/KJ4CL9lhQTUZSfY5PQQ/vvn6gE8AV0WAd0yAuotp4C27+EkoEsioFtGQL1lFNDn6/e/1L8S0CUR0C0joN4yCuhD7/Wi+rnQMzEH4I+AYnEE1BsBJaCCgG4ZAfWWUUAPeAi/JAK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvGQZ0UMwB+COgWBwB9UZACaggoFtGQL0RUAIqCOiWEVBvBJSACgK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvBJSACgK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvBJSACgK6ZQTUGwEloIKAbhkB9UZACaggoFtGQL0RUAIqCOiWEVBvBJSACoeAAmm57AQbAkpABQFF9lx2gg0BJaCCeSjmoZiHIqAsCME8FPNQzEMRUBaEYB6KeSjmoQgoC0IwD8U8FPNQBJQFIZiHYh6KeSgCyoIQzEMxD8U8FAFlQQjmoZiHYh6KgLIgBPNQzEMxD0VAWRCCeSjmoZiHIqAsCME8FPNQzEMRUBaEYB6KeSjmoQgoC0IwD8U8FPNQBJQFIZiHYh6KeSgCyoIQzEMxD8U8FAFlQQjmoZiHYh6KgLIgBPNQzEMxD0VAWRBiaB6pr5ELTJFqv7x6mAkBtVt1QFNvA2CaNPvFcJgJAbVbeUCjficRUxOa1P+IZRDQMWIOwB8BRRoE1H2/GA4zIaB2BBRpEFD3/WI4zISA2hFQpEFA3feL4TATAmpHQJEGAXXfL4bDTAioHQFFGgTUfb8YDjMhoHYEFGkQUPf9YjjMhIDaEVCkQUDd94vhMBMCakdAkQYBdd8vhsNMCKgdAUUaBNR9vxgOMyGgdgQUaRBQ9/1iOMyEgNoRUKRBQN33i+EwEwJqR0CRBgF13y+Gw0wIqB0BRRoE1H2/GA4zIaB2BBRpEFD3/WI4zISA2hFQpEFA3feL4TATAmpHQJEGAXXfL4bDTAioHQFFGgTUfb8YDjMhoHYEFGkQUPf9YjjMxD2gd7vd7v0vAx+MOQB/BBRpEFD3/WI4zMQ5oN9udo2P4Q/HHIA/Aoo0CKj7fjEcZuIb0O+fm3ufD7vdp+DHYw7AHwFFGgTUfb8YDjPxDejT7t2X+te73Yfgx2MOwB8BRRoE1H2/GA4z8Q3oIZwPu5+/hj4ecwD+CCjSIKDu+8VwmMkyr8IT0AUR0OIQUPf9YjjMZJGAfv/MQ/jlENDiEFD3/WI4zGSJgLYvJbV2PdO+3ltYOH33sD4b/v7mvjH8A/pUhbL/AJ6ARuLz7cMKbfj7m/vGWCag7YvxZ2LeBffHQ3iksemAptkvhsNMlnkR6W6goDEH4I+AIg0C6r5fDIeZLBPQoVeRYg7AHwFFGgTUfb8YDjNZ6GIiA+cxxRyAPwKKNAio+34xHGZCQO0IKNIgoO77xXCYiWtAq0fu7VVEHngIvxgCWhwC6r5fDIeZ+N4DfWhPAP12E74eU8wB+COgSIOAuu8Xw2EmvgGtwlnf86zuifJWzsUQ0OIQUPf9YjjMxPk50Ofr/RnzA5dUjjkAfwQUaRBQ9/1iOMxkkSvSD1wNlIC6IKDFIaDu+8VwmAk/E8mOgCINAuq+XwyHmRBQOwKKNAio+34xHGZCQO0IKNIgoO77xXCYCQG1I6BIg4C67xfDYSYE1I6AIg0C6r5fDIeZEFA7Aoo0CKj7fjEcZkJA7Qgo0iCg7vvFcJgJAbUjoEiDgLrvF8NhJgTUjoAiDQLqvl8Mh5kQUDsCijQIqPt+MRxmQkDtCCjSIKDu+8VwmAkBtSOgSIOAuu8Xw2EmBNSOgCINAuq+XwyHmRBQOwKKNAio+34xHGZCQO0IKNIgoO77xXCYCQG1W3lAgRyl2S+Gw0wIqB0BBdyl2S+Gw0wIqN2qA5oA81DMQ+U9D2PSCKhd3gvCH/NQzEPlPQ9j0gioXd4Lwh/zUMxD5T0PY9IIqF3eC8If81DMQ+U9D2PSCKhd3gvCH/NQzEPlPQ9j0gioXd4Lwh/zUMxD5T0PY9IIqF3eC8If81DMQ+U9D2PSCKhd3gvCH/NQzEPlPQ9j0gioXd4Lwh/zUMxD5T0PY9IIqF3eC8If81DMQ+U9D2PSCKhd3gvCH/NQzEPlPQ9j0gioXd4Lwh/zUMxD5T0PY9IIqF3eC8If81DMQ+U9D2PSCKhd3gvCH/NQzEPlPQ9j0gioXd4Lwh/zUMxD5T0PY9IIqF3eC8If81DMQ+U9D2PSCKhd3gvCH/NQzEPlPQ9j0gioXZYLIvX1xoEpUu2X3mEmBNQuw4Cm3gbANGn2ixxmQkDtsgxo1O8v0mvyk/ofMRcBDYs5AH8EFOtHQGfsFznMhIDaEVCsHwGdsV/kMBMCakdAsX4EdMZ+kcNMCKgdAcX6EdAZ+0UOMyGgdgQU60dAZ+wXOcyEgNoRUKwfAZ2xX+QwEwJqR0CxfgR0xn6Rw0wIqB0BxfoR0Bn7RQ4zIaB2BBTrR0Bn7Bc5zISA2hFQrB8BnbFf5DATAmpHQLF+BHTGfpHDTAioHQHF+hHQGftFDjMhoHYEFOtHQGfsFznMhIDaEVCsHwGdsV/kMBMCakdAsX4EdMZ+kcNMCKgdAcX6EdAZ+0UOMyGgdgQU60dAZ+wXOczEPaAPu8qHgQ/GHIA/Aor1I6Az9oscZuIc0G83u8a7L8EPxxyAPwKK9SOgM/aLHGbiG9Dvn5t0Pl/vfv4a+njMAfgjoFg/Ajpjv8hhJr4BfWrvelYF/RT6eMwB+COgWD8COmO/yGEmvgG9a+95VvdEg0+DxhyAPwKK9SOgM/aLHGbiHdAPJ79RMQfgj4Bi/QjojP0ih5kscxrTt5vdx9CfxxyAPwKK9SOgM/aLHGayTECfei/D73qmfbW3mM7rW4pMbOK7ns8WWCSg1R3Q7lV4ApqU1/cUmdjEdz2fLbBEQKt+vv8l+JGYd8H98RAe67eRgKbZL3KYyQIBrfo5cB49AfVAQHEBAZ2xX+QwE/+A1m9GCp4E+kJAXRBQXEBAZ+wXOczEPaDP14P3PwmoCwKKCwjojP0ih5l4B/RiPwmoBwKKCwjojP0ih5k4B7Tq58DrR42YA/BHQLF+BHTGfpHDTHwDOvz6+17MAfgjoFg/Ajpjv8hhJr4Bfbj0+P2FgLogoLiAgM7YL3KYiWtAD1cDHbymcswB+COgWD8COmO/yGEmrgF9viagyyOguICAztgvcpgJPxPJjoBi/QjojP0ih5kQUDsCivUjoDP2ixxmQkDtCCjWj4DO2C9ymAkBtSOgWD8COmO/yGEmBNSOgGL9COiM/SKHmRBQOwKK9SOgM/aLHGZCQO0IKNaPgM7YL3KYCQG1I6BYPwI6Y7/IYSYE1I6AYv0I6Iz9IoeZEFA7Aor1I6Az9oscZkJA7Qgo1o+AztgvcpgJAbUjoFg/Ajpjv8hhJgTUjoBi/QjojP0ih5kQUDsCivUjoDP2ixxmQkDtCCjWj4DO2C9ymAkBtcsyoECO0uwXOcyEgNoRUCCSNPtFDjMhoHYZBnRRzEMxD5X3PIxJI6B2eS8If8xDMQ+V9zyMSSOgdnkvCH/MQzEPlfc8jEkjoHZ5Lwh/zEMxD5X3PIxJI6B2eS8If8xDMQ+V9zyMSSOgdnkvCH/MQzEPlfc8jEkjoHZ5Lwh/zEMxD5X3PIxJI6B2eS8If8xDMQ+V9zyMSSOgdnkvCH/MQzEPlfc8jEkjoHZ5Lwh/zEMxD5X3PIxJI6B2eS8If8xDMQ+V9zyMSSOgdnkvCH/MQzEPlfc8jEkjoHZ5Lwh/zEMxD5X3PIxJI6B2eS8If8xDMQ+V9zyMSSOgdnkvCH/MQzEPlfc8jEkjoHZ5Lwh/zEMxD5X3PIxJI6B2eS8If8xDMQ+V9zyMSSOgXLYdWIsFtjcBXTagqZcMgIMFNjgBXTqgUUcALK+JUep/xHgE9BUxB2CV40IDLiKgHQJKQIFRCGiHgBJQYBQC2iGgBBQYhYB2CCgBBUYhoB0CSkCBUQhoh4ASUGAUAtohoAQUGIWAdggoAQVGIaAdAkpAgVEIaIeAElBgFALaIaAEFBiFgHYIKAEFRiGgHQJKQIFRCGiHgBJQYBQC2iGgBBQYhYB2CCgBBUYhoJ38Avq0+zjwkZgDsMpxoQEXEdBOdgH9dkNAgZQIaCe3gFb9JKBASgS0k1lAn693BBRIioB28gro3W73l38QUCAlAtrJKqDV/c+P3z8TUCAlAtrJK6B///pCQIG0CGgnq4DWTgK665n2Bd8uzOVWA+uR6brOcH8T0BwXGnBRpus6w/29fED7Yt4Ft8pxoQEXZRvQBTZ47g/h+2IOwCrHhQZcREA7BJSAAqMQ0A4BJaDAKAS0Q0AJKDAKAe0QUAIKjEJAOwSUgAKjENAOASWgwCgEtENACSgwCgHtEFACCoxCQDvZBfSCmAOwynGhARcR0A4BJaDAKAS0Q0AJKDAKAe0QUAIKjEJAOwSUgAKjENAOASWgwCgEtENACSgwCgHtEFACCoxCQDsElIACoxDQDgEloMAoBLRDQAkoMAoB7RBQAgqMQkA7BJSAAqMQ0A4BJaDAKAS0Q0AJKDAKAe0QUAIKjEJAOwR06YACWIcFNjgBJaBAGRbY4AR02YDa/Wfqf8Ae81DMQzEPRUBZEIJ5KOahmIcioCwIwTwU81DMQxFQFoRgHop5KOahCCgLQjAPxTwU81AElAUhmIdiHop5KALKghDMQzEPxTwUAWVBCOahmIdiHoqAsiAE81DMQzEPRUBZEIJ5KOahmIcioCwIwTwU81DMQxFQFoRgHop5KOahCCgLQjAPxTwU81AElAUhmIdiHop5KALKghDMQzEPxTzUlgI6yW6X+l+wLsxDMQ/FPNSy8yCg2WEeinko5qEIKAtCMA/FPBTzUASUBSGYh2IeinkoAsqCEMxDMQ/FPBQBZUEI5qGYh2IeioCyIATzUMxDMQ9FQFkQgnko5qGYhyKgLAjBPBTzUMxDEVAWhGAeinko5qEIKAtCMA/FPBTzUASUBSGYh2Ieinmo4gMKAOtEQAFgIgIKABMRUACYiIACwEQEFAAmIqAAMBEBBYCJCCgATLSygD7tKh8u/mHwU7YqeGMfen/4/fNu7+ev0f9xCQTmcTqBstfHcRrtQApbHy/1SD6e/cmC/VhXQO/23+z3vwz/YfBTtip0Y7/d7P/w3Zf+f5WxQS7No51A4evjNKBlrY+X5gafBHTZfqwqoNVdq+rGP1/Ld1v/MPgpWxW6sdUOqdN5+MPn6xIG0Qp+83UCxa+P7mPN/8MWtT5e9v+HoQFduB9rCujh/zyqm/dp4A+Dn7JVwRv71N71bP/wqZhHq0PffJkA66NV/VnzsZLWx0tzs08CunQ/1hTQp+5u9oeBPwx+ylYFb+xd+/+d1T3R+g8fzp7x2a7wN18mwPpoHZZJSeujeXz+l3/oLV66H2sK6OGbXn3Xu6co9A+Dn7JVA/P40P/N3f7+aBHC33yZAOtj72nX3sMqaX00d7urOxYS0KX7saKAtvepXrqHqWd/GPyUrbp8Y/cPRr7dvP+Pm0JedQ7PQybA+jh+aB+KktZHFdC/f305Ceji/VhXQNub/nzdD2jvD4OfslWXb+zT4bWkYl51Ds9DJsD62DveAS1pfeydB3TZfqwooN0JCL1bp38Y/JStunhjqw/W9zGe2vNT7gp41Tk8D5kA62PvuBxKWh97JwFdvB8rDejxNTL9w+CnbNWlG1t9rLlPcXgqp1o2Wx/HwDxkAqyPk/8uaX3sXQjoIv1YaUC5B3rxHkb1obP7HJt/muuVb349AdZHI/AKSQHrY6/ge6A8B6qGb2x9tvDJ/38+bP8x2ivf/HoCrI/2A2e1LGB97BX8HGj/JbLj/4PqHwY/ZasGb2z18OPsu1/ABnnlm98GlPVR///r2cPTAtbH3oVX4Rfpx4oC2j9Jq/tu6x8GP2WrBm5sqJ8lz6PF+jgIxaGEeTQunAe6yPpYU0B5J5IK39iqn/375+1quSvgHSeheZxMgPXx0o9DWeujcRrQkt6JxHvh1dA8evcvDnvl283mn/IbmIdOgPXxInEoan00TgNa0nvhuRrTidCNfZDH79XH6s0Setlgg0LzOJlA8etDE1LW+qidBrSkqzHpxfqOb0fjeqC9eRyv79i+P++p9/vtC62PkwkUvj5eTl5DKmt9vPQCGqkf6wpo/3LRxwFwRfrmt/t5HN+b13v79+7spKbNCq2PkwmUvT5eTl+EL2t9hAJa0hXpASAjBBQAJiKgADARAQWAiQgoAExEQAFgIgIKABMRUACYiIACwEQEFAAmIqAAMBEBxQz3V5039sN+/+nqT7/O/ssPX6X6R/zY++PH43/+/j/q//3XX6/++M/TXyxfvn80EERAMUM/oFdXf7YeFiegt/tfJwZUjwaCCChm0ICaCxoloIdfpwX05GggiIBihvsumr/9cGWuYtSAtkaW8ORoIIiAYoZeQOue/eFvtsMIKDaCgGKGfkBfbs2P4QkoNoKAYoaTgB7vgd42T4m2/7lPV/N0aZvNY0CrDx1evX/sffzsS1T/9adfHw//XR1eH3YxoI/Hp2VDz4HWf+9R+5f2/8Kzo7s/bG/v+Y1CiQgoZjh5CN+m5F7bVLfm33/ov850+NSun7/Jx8++RB3Q/33oW/uxP/0fz4DqXxgIaFPt2v4/z28USkRAMYO+iNTeXey/NF+XTWp1uAtZZ6rr57FO7dc4/RJVQP9LU6s3vY/9m2NAT/7C84B2/8L9f5/fKJSIgGIGOY2pfahbp+bHw28OndyH9r7t4T6gvcfvt/tPqI94E/oSzSfs74se/qh7yD/nNKb7/T/7/C88PY3ptv2n3+8rHrhRKBEBxQyhE+kfj1ms7pS2zTpE6/4YyKpSt8dPPL6A3/7m7EvUn9s9P7D/3fG8qRkBfWzvPZ7/hSdHd/ev29+d3yiUiIBihpMT6U86UuXwENC2cFV96uY1Ae362evX/ckTiu2XqAO6/xLVFzs8YL6fHdDHq7PnLw9/4cnRvUju/7rzG4USEVDM0Otd85j25Lyhq0OzDs3rBfS/X3UlO83m2ZfoTpE6BK77YtMDWt+H1Qff3V94cvStPNn7JnSjUCICihmkfPfHJD4e75MOBlTusd6evwyjX6L7jN4ppHPfynl4xjX4F+rRvZvQ3gYCihoBxQwS0DpI9X8dT0m6HNB/++l48FlAT79E9xm9Wh0CenLO+70xoPW9zWP4zv7Cs4Ae77ceXwEjoCCgmEMCWhfpz93dyz/+s3sONBDQN3Wj2iqdBvTsS1y8B3oS0MOj7dcCenslUTz5C7kHCgsCihlCAb3vn9A0/Bzory/dy/Cnz4GefQkJ6OlzoBqw49/2SkDv+6dvnv+Fw8+B7l/xIqCoEVDMcPoQvmpKryyPl15E+nX/uPlwZ7E7i+hN4Et0AW0r3f7lTbj0KiaH85BeCai8AB/4C4dfhb89vApPQEFAMUfgRaSuLPXj4osBPSawO8uyqdP5l+g9yL8/PaO+f5Jo/91NFwOqL8AH/kLDeaAEFAQUc4ROYzo8t3h/eJPjcECPJ1O270Q6HHv2JXoBPSSuedmnO6W+zeHxgiPNb49vxT8N6PGdR63zv/DkaHknUvv2KgIKAoo5Tk6kPz44Proc0OMdu947zX8MfYn+y0zHD/7XwNVLDl/h5fDCevi98LdywP5CT/oXnhwdei88AQUBxRxaru7l7b3/tn++8kJA+89j9ut3+iXkdfq2dserMb1oceUu8f4JgVcDev4XnhwduhoTAQUBxRz9gHbvkNzfe/tx+AXrLqDdY+lH+RonX0JPdGri9qZ/RtPxRM7+6VDtp5kCevYXnhx9/Bf2rgdKQEFAAWAqAgoAExFQAJiIgALARAQUACYioAAwEQEFgIkIKABMREABYCICCgATEVAAmIiAAsBEBBQAJiKgADARAQWAiQgoAExEQAFgIgIKABMRUACYiIACwEQEFAAmIqAAMBEBBYCJCCgATERAAWAiAgoAExFQAJiIgALARP8fKB8SXPFaZnEAAAAASUVORK5CYII=" 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" title alt width="672" /></p>
+<p>Trying to build a sub dataset from April 2008 to April 2011 and graphing the key variables in scorecard against the Prosper Score, I can see that Prosper Score has negative relationship with inquiries last 6 month, current delinquencies, bankcard utilization and debt to income ratio… However, this relationship is not clear and hard to quantify.</p>
+</div>
+<div id="ii.-what-affect-the-loan-interest-rates" class="section level2">
+<h2>II. What affect the loan interest rates</h2>
+<div id="prosper-rating-and-credit-grade-on-borrower-rate" class="section level3">
+<h3>Prosper rating and Credit Grade on Borrower Rate</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Clearly, Borrower Rate decreases when Prosper Rating increases. Before July 2009, Prosper used Credit Grade to calculate Borrower Rate. I’ll use graph Borrower Rate on Credit Grade for loan from 2005 to 2009</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Although the same range of Borrower rate is assigned to the same level of credit grade and prosper rating, the fundamental difference is the way credit grade and prosper rating determined. Credit Grade is based only on credit bureau score (AA: 760+, HR: 520-559) Prosper Rating takes in various credit information of borrowers including prior prosper loans performance</p>
+</div>
+<div id="estimated-loss-on-borrower-rate" class="section level3">
+<h3>Estimated Loss on Borrower Rate</h3>
+<p><img src="data:image/png;base64,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" 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" title alt width="672" /></p>
+<pre><code>## [1] 0.945297</code></pre>
+<p>When estimated loss increases, borrower rate also increases and the borrower rate becomes more disperse. The correlation between estimated loss and borrower rate is high 94.5%, showing a strong and positive correlation</p>
+</div>
+<div id="estimated-loss-on-borrower-rate-color-by-prosper-rating" class="section level3">
+<h3>Estimated Loss on Borrower Rate color by Prosper Rating</h3>
+<p><img 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" title alt width="672" /></p>
+</div>
+<div id="estimated-loss-on-borrower-rate-facet-by-term" class="section level3">
+<h3>Estimated Loss on Borrower Rate, facet by Term</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Borrower Rate is positively correlated with estimated loss. Higher prosper rating borrowers have lower borrower rate. We can see clearly that different prosper rating is associated with a specific borrower rate. Loan with term of 36 months have borrower rate most dispersed, maybe because most loans have term of 36 months. The other terms show perfect correlation.</p>
+</div>
+<div id="what-affect-the-difference-between-borrower-rate-and-borrower-apr" class="section level3">
+<h3>What affect the difference between borrower rate and borrower APR</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<pre><code>## dt$Term: 12
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   0.935   5.728   7.772   6.614   7.945  14.930 
+## -------------------------------------------------------- 
+## dt$Term: 36
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
+##   0.000   1.423   2.816   2.592   3.708   6.395      25 
+## -------------------------------------------------------- 
+## dt$Term: 60
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   0.215   2.319   2.408   2.385   2.524   2.798</code></pre>
+<p>It’s clear that the difference between borrower rate and APR is determined by term. 50% of Loans with duration of 1 year has range from 5.7% to 7.9%; 3 years from 1.423 to 3.7%; and 5 years from 2.3 to 2.5%. This difference also fluctuates with Prosper Rating. We can see that only loans with high Prosper Rating can apply for term of 5 years from the chart below</p>
+<p><img 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" title alt width="672" /></p>
+<pre><code>## dt$ProsperRating..Alpha.: HR
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.210   3.746   4.027   3.874   4.027   6.395 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: E
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.174   3.631   3.891   3.721   3.948  10.080 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: D
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.131   2.604   3.542   3.416   3.825   9.927 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: C
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   2.095   2.440   3.393   3.169   3.722   9.835 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: B
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   1.376   2.321   2.730   2.958   3.626   8.430 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: A
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   1.340   2.252   2.788   2.597   2.819   7.674 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: AA
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##   0.215   0.343   1.336   1.092   1.346   3.562</code></pre>
+<p><img 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e1Rl5QsA0BPK5SjKqE96pKSZQDoaYVyVCW0R11SsgwAPa1QjqqE9qhLSpYBoKcVylGV0B51SckyAPS0QjmqEtqjLilZBoCeVihHVUJ71CUlywDQ0wrlqEpoj7qkZBkAelqhHFUJ7VGXlCwDQE8rlKMqoT3qkpJlAOhphXJUJbRHXVKyDAA9rVCOqoT2qEtKlgGgRv3h7m/HH3/b/Ym//2zPjVml9svxy2v+/+H/Or76u785RjnarceyAn84SHvwAkBt+r/+6xGg1596/YN/se8WJav1cowFGOrxy9urGaiNqf32WFbgOPVgBYCa1DXtrWH/7/+hR+f1l+5//L/vvFGJarwc1wJ0zXk9DPgn3ctfHqYcjdbDq8Bv+0Y5RD1YAaAW9ccoN4D+Ydj1vL71T3bdpmQ1Xo6xAL/sDxPHMvyh2SOC1ttjWYHxSO0A7cELADXoelTyH/03A0B/Ofxqve4INfo9T+Pl+OWQ99/2hfjtXI6/ZVerVq23x7ICf5iP5FtvD14AqF7X36Z/OzXoNDHanyF7b8g69Y3bLjcnNd4eXgXG/YtreRr9FlTJMgBUr7/7z4lOnc8qtabWy3HT7QjgWoVGjxQnNd4eywrMx2XNfqeiZBkAalMA0GYnyDEAOpxK+ru/+Qf/4vrjMS6b2XtLkrSswNwm3ft7bleylCwDQG3yAXr9xdv8aca9NyRd3aWGffr/cPcP/5e/OchVZW3WY1mB+bgMAC2gvXOzQh5ArxOl0a94DgPQvmH/MPw77JC2qMbbY1kBF6CNfrmiZBkAatMSoNd50ujv178/BEA79Zcf/mG8YvsAX0m3WY9lBbAHWlR752aFFgDtLqtv89drpyOU4++H8xV/mG5I+m2rX6k03h7LCuA70KLaOzcr5AL0enTS6OTodYRydOoadj5QBED30bIC7ln4Rr9TUbIMALXJAWjj/DwUQOeLaADQfeRVwLkOtPl6sAJAbXKPTVr93Tqo7XLMhfjtdWdn3uNp/76GZuvhVgB3IpXU3rlZoalvWz7/flPj5fjt4rTReDluu1fUt94eywrgXviS2js3KzQB9LdtH7//ffMAvbZot29zLUh3jDhcvzS8alGtt4dXATyNqaD2zs0KjQAdH0bZ8ENjWy/H3/2N+8TJsSDNHhY03x5eBfA80HLaOzcrNAJ07F4AdEf1PTodIf7BebpygzpAeywrgCfSF9PeuYE6oRxVCe1Rl5QsA0BPK5SjKqE96pKSZQDoaYVyVCW0R11SsgwAPa1QjqqE9qhLSpYBoKcVylGV0B51SckyAPS0QjmqEtqjLilZBoCeVihHVUJ71CUlywDQ0wrlqEpoj7qkZNkuAL04Wr7S6Gvj8nCIjblLORrNVnEHtEe6Q9l6sAJAT+uwUzkazVZxB7RHugMAmjX0IBNwoMfcpRyNZqu4A9oj3QEAzRp6kAk40GPuUo5Gs1XcAe2R7gCAZg09yAQc6DF3KUej2SrugPZIdwBAs4YeZAIO9Ji7lKPRbBV3QHukOwCgWUMPMgEHesxdytFotoo7oD3SHQDQrKEHmYADPeYu5Wg0W8Ud0B7pDgBo1tCDTMCBHnOXcjSareIOaI90BwA0a+hBJuBAj7lLORrNVnEHtEe6AwCaNfQgE3Cgx9ylHI1mq7gD2iPdAQDNGnqQCTjQY+5SjkazVdwB7ZHuAIBmDT3IBBzoMXcpR6PZKu6A9kh3AECzhh5kAg70mLuUo9FsFXdAe6Q7AKBZQw8yAQd6zF3K0Wi2ijugPdIdANCsoQeZgAM95i7laDRbxR3QHukOAGjW0INMwIEec5dyNJqt4g5oj3QHADRr6EEm4ECPuUs5Gs1WcQe0R7oDAJo19CATcKDH3KUcjWaruAPaI90BAM0aepAJONBj7lKORrNV3AHtke7QNkA/vr/qZ8QHX5HvvmGG1OGwUzkazVZxB7RHukPTAP3wvtdP/uh/8O3nAGjNDjuVo9FsFXdAe6Q7tAzQr96//1UPy5/+efnB91/Q+6VvmCF1OOxUjkazVdwB7ZHu0DBA//Lrjp89QX+z/OSryIH9G2ZIHQ47laPRbBV3QHukOzQM0I/jsfsHj5Z/+fVP/jcAtGaHncrRaLaKO6A90h0aBuiH8dD9K+9b0A/vf+MzdVLh0INMwIEec5dyNJqt4g5oj3SHdgH6/RcjJD++//HvnQ8+Xt8HQKt22KkcjWaruAPaI92haYD+6vbTt5+7AP3Lr6+vFgB972idJwRBUB1aCdDxHJIP0A/d2wAoBEGHVkaAOqfhP/bfjOIQvmqHncrRaLaKO6A90h3aPYSn90C//6L/GQCt2mGncjSareIOaI90h3YBSn8HOtzDCYBW7bBTORrNVnEHtEe6Q9MAnc7CT5cxffv57UcAtGqHncrRaLaKO6A90h3aBah7Heh0L+dXzvki/wZPzJBqHHYqR6PZKu6A9kh3aBig1J1IAGgTDjuVo9FsFXdAe6Q7NAzQ+L3wOISv3GGncmyfrfv70g4KAaAFHRoGaPxpTABo5Q47lWMHgBZ3UAgALejQMkAXzwP9/guXowBo1Q47lWPzbCl2QGuoB9oj3aFpgLpPpAdAG3LYqRzbA7S4g0YAaEGHtgFqV+HQg0zAgR5zl3JsnS3NDmgN9UB7pDsAoFlDDzIBB3rMXcqxOUCLO6gEgBZ0AECzhh5kAg70mLuUY+NsqXZAa6gH2iPdAQDNGnqQCTjQY+5Sjq0BWtxBJwC0oAMAmjX0IBNwoMfcpRzbZku3A1pDPdAe6Q4AaNbQg0zAgR5zl3JsDNDiDkoBoAUdANCsoQeZgAM95i7l2DRbyh3QGuqB9kh3AECzhh5kAg70mLuUY1uAFnfQCgAt6ACAZg09yAQc6DF3KceW2dLugNZQD7RHugMAmjX0IBNwoMfcpRybArS4g1oAaEEHADRr6EEm4ECPuUs5ANDYkGiPVAcANGvoQSbgQI+5Szk2zJb6CL6GeqA90h0A0KyhB5mAAz3mLuXYEqDFHfQCQAs6AKBZQw8yAQd6zF3KsV229DugNdQD7ZHuAIBmDT3IBBzoMXcpx4YALe5gEABa0AEAzRp6kAk40GPuUo7NsmXYAa2hHmiPdAcANGvoQSbgQI+5Szm2A2hxB4sA0IIOAGjW0INMwIEec5dybJUtyw5oDfVAe6Q7AKBZQw8yAQd6zF3KsRlAizuYBIAWdABAs4YeZAIO9Ji7lGOjbJl2QGuoB9oj3QEAzRp6kAk40GPuUo6tAFrcwSYAtKADAJo19CATcKDH3KUc22TLtgNaQz3QHukOAGjW0INMwIEec5dybATQ4g5GAaAFHQDQrKEHmYADPeYu5dgkW8Yd0BrqgfZIdwBAs4YeZAIO9Ji7lGMbgBZ3MK4AgJZ0AECzhh5kAg70mLuUY4tsWXdAa6gH2iPdAQDNGnqQCTjQY+5Sjk0AWtwBAK3JAQDNGnqQCTjQY+5Sjg0szDugNdQD7ZHuAIBmDT3IBBzoMXcpxxYAbbEeaI90BwA0a+hBJuBAj7lLOQDQ2JBoj1QHADRr6EEm4ECPuUs5ylvcA6AGHcEBAM0aepAJONBj7lKODQDaZD3QHukOAGjW0INMwIEec5dyFLe4B0AtOoIDAJo19CATcKDH3KUc5QHaZj3QHukOAGjW0INMwIEec5dylLa4B0BNOoIDAJo19CATcKDH3KUcxQHaaD3QHukOAGjW0INMwIEec5dyFLa4B0BtOoIDAJo19CATcKDH3KUcNouXTrxFv8j06t7qEIygEQBalQMAmjX0IBNwoMfcpRwWi5dR6kXu7QBVmAQCQKtyAECzhh5kAg70mLuUw2Dx8iLCzV/k3uagMwkFgFblAIBmDT3IBBzoMXcph97i5UWEm7/IvRmgChNCAGhVDgBo1tCDTMCBHnOXcqgtXl5EuAWL3JscdCaUANCqHADQrKEHmYADPeYu5SgJ0HsAtIqptbUDAJo19CATcKDH3KUcWosXX4pF7k0OOhNSAGhVDgBo1tCDTMCBHnOXchQE6D0AWsfU2toBAM0aepAJONBj7lKOkgC1OehMSAGgVTkAoFlDDzIBB3rMXcpRDqD3AKjGKPBt3wEAzRp6kAk40GPuUo6CAB0XAUANOoIDAJo19CATcKDH3KUc5c7CT39KDmfhDTqCAwCaNfQgE3Cgx9ylHMUAeg+AqowC3/YdANCsoQeZgAM95i7l0Fso0EbugJqCSOInAFqXAwCaNfQgE3Cgx8xQDo87FIYW702kkoCl3DV0d0CnxXRBuBti5Kd5H9evB2GH9kh3AECzhh5kAg70mKvL4aGHItHivZdA0sD6xe7nJTVBzEMn8DNhL/pr6s3lkGiPVAcANGvoQSbgQI+5thwe4SjgLd4L+RmhVsJi9/fzkoogqE0psAdKDk47oj3SHQDQrKEHmYADPebKcnjwoVhEckqkVspi986SchD6baGVcikW+yYAusYBAM0aepAJONBjriuHgov8IjFqpSx2f+8sKQah35aIDN+y+oPHHNEe6Q4AaNbQg0zAgR5zXTkUWOQXiUErZbF7d0kA1KAjOACgWUMPMgEHesxV5VBwUVqEplbKYu4O6MuLFIR+W2JSpYkcPOqI9kh3AECzhh5kAg70mKvKocCitAgNrZTFFvwEQC06gsPZAPq1o+WrEoJDbMxV5RCo+CIvMS+pGphZ7N4HaPKmK4NXpYkcPOqI9qjLQsky7IGe1mFlOSQsavc/c+yBLvmJPVCLjuBwtj3QwqEHmYADPeaqcghUNEg5cHyxewB0Vg1Ta2sHADRr6EEm4ECPua4cEhe10o4bXczn5wqAamNPPwsftUR7pDsAoFlDDzIBB3rMdeVQsFEl7bjRxQBQVzVMra0dANCsoQeZgAM95spyeByIY4kVP2x8wen9+4wAzfxAZWLoqCPaI90BAM0aepAJONBjri2HhwH3JcUmJbKUbJveD/gpBhFzoLaGljZN4chRR7RHugMAmjX0IBNwoMdcXQ6PAs5LCk1KZinZNr1fM0DDpzFFHdEe6Q4AaNbQg0zAgR4zQzlcBrhUoDihZJaSbePbwRG8HETMgdiYiLAHWpUDAJo19CATcKDHzFsOBksv7I1J3oDGxcId0HoASgwddUR7pDsAoFlDDzIBB3rMrOVgqPTC39jpDWhbLDyFVPfDRKKWaI90BwA0a+hBJuBAj5m1HFEojZjQUsu2WMhPANSkIzgAoFlDDzIBB3rMnOWIMmmkBPuhK9tiBEBruYyJHDzqiPZIdwBAs4YeZAIO9Jg5yxGCQSKHQEblYgCopxqm1tYOAGjW0INMwIEeM2c5CDAsGaGGlmkxip8AqEVHcABAs4YeZAIO9Jg5yxGnxSWyAE9G5WIUPwFQi47gAIBmDT3IBBzoMXOWQ0SRGlqWxcgdUADUoiM4AKBZQw8yAQd6zKzlEEmkZZZyue4tmp+1PEyEHj3miPZIdwBAs4YeZAIO9JhZyyGiSAst5XLdWzQ/awEonZKYI9oj3QEAzRp6kAk40GPmLYdIopUEDZeK7ICmXweqDnoFQGN5aqI9rHmyO/QCQHkVDj3IBBzoMTOXQyRRdoBGFkwFqD5oZZpEfra1B5qUKgA0vwqHHmQCDvSYucshtpeSW0qARnZA5UN49YZEpU0TMXi7AE3MFQCaXYVDDzIBB3rM/OUQeisrQKP8TAZo7kN41yh6x+s8ZOXtkZorADS7CoceZAIO9Jhbl0OJLd1iawAaWzHzSaTZi3lkwDxk3e2RnCsANLsKhx5kAg70mFuXQwktHdyIxzBVCdBBAKhBACivwqEHmYADPebG5VBCSwm3OD9ruZB+odYBmp4rADS7CoceZAIO9JjblGNqNiWyANAsRloBoLEhVQJAT+uwTTmcdlMSS8c25ggeALUo6ZJWS64A0OwqHHqQCTjQY25QDrfflE2oYxvDTwDUIpXDmlwBoNlVOPQgE3CgxyxfDgZV0RZULcztgAKgFmkcVuUKAM2uwqEHmYADPWbxcjCkijeganGOn2IQ5k0KBIDiLPxNAOhpHTYoR5xUTAeqFgdAJSOtFA7rcgWAZlfh0INMwIEes3Q54qDiWlC1NANQOQjjBhECQHEn0k0A6GkdypeDg2e8B/mFbz/f33O7kW9vfIvbtoeSIU3DyACoQQAor8KhB5mAAz1mhnKwvRRnHNeD3MLji3t5cPuGGcJWp2kaHAA1CADlVTj0IBNwoMdcXQ6hmxL5Fl92fHE9gFcB1Pg1qz5wbZqIwWOeFbfHymwBoLlVOPQgE3Cgx1xbDqmb0vAWX3b8mTuDpOty29KhlGmiBo9Z1tseGyXLEQDKq3DoQSbgQI+5shxyOyXRLbrw9KOen9bt0oauSxM5eMyx2vZYmysANLsKhx5kAg70mOvKoeinFLjJADXsgAKgomq+ZGFPCyXLANDTOqwtxypSMS3Ir/Ni2wE13Swa3aRAqjSRg4PUq6gAACAASURBVEcdK22P1akCQPOrcOhBJuBAj7mqHLqGcj9XtiCDt16mHVAAVFIqQLM5EAJAeRUOPcgEHOgxV5VD2VHOx9Y1aBn5CYAK4h1WZ0p0oASA8iocepAJONBjriqHuqNkdggDLwWA8ioN0HtTomQHSgAor8KhB5mAAz3mqnLY2aNcg8Fb178AKK/iAL035EnhQAkA5VU49CATcKDHXFUOO3uUazB4e8myA7rZw0TIwWOOdbZHpAAZHSgBoLwKhx5kAg70mOvKYWaPElc8EAFQQVsANKcDJQCUV+HQg0zAgR5zXTnM7FHiiuWh9Qje5qCOXZkmcvCIY5XtQVYAAHUEgJ7WYXU5CBJ4UFi+VABLBGIOfu57L3xLAI0VIJ8DLQCUV+HQg0zAgR5zbTl8EHhY8CkhMouH4a19TQBVbLhiaULqNE2Dfx2845lW2B5kBYyZ4h0iAkB5FQ49yAQc6DFXl2OJAQ8LASUkasVBOLevhp8X6Xmg6wm6Yg805llfezAFyOQQEwDKq3DoQSbgQI+ZoRxOO3lcCDEhUIv+mOxfVoog4qsqlf4daNSzvvYgC2DNFOsQEwDKq3DoQSbgQI+ZtRwS1aRvHvn1x/5V7oEK28xupkbpZ+GjltW1B5//HA5RAaC8CoceZAIO9JhZyyFALb6Ean2/f1kvKQh+MzU6LUDtqQJA86tw6EEm4ECPmbMcItWEA2dpfb9/OaUDFHcizaLyD4D6AkBP65C3HBLUmEVU6/v9ywkANchxWGwPWYCEVAGg+VU49CATcKDHzFkOCWrMIqr1XwzXgAKgBk0Oyy2SC2B3UAsA5VU49CATcKDHzFkOCWrMIqr1XwwPUgZADRodlpukKIDZQS8AlFfh0INMwIEeM2c5JKgxi6jWt9yEBIAaNDgst0lTAKuDQQAor8KhB5mAAz1mznJIUIsvctENYPhLHgCoQTcHTVq9AhgdLAJAeRUOPcgEHOgxc5ZD6r74IhfdAIabONOvAwVA1QWwOlgEgPIqHHqQCTjQY+Ysh9R+0UWmgUztywp7oAb1Dpqspu6AAqCCPr6/6mfemx+u7/3kj5E1CoceZAIO9JhZyyG0X2wJZyS+fQFQnUoBNHkHFADl1aHSp+Vffn1781f0KoVDDzIBB3rMrOUQ+i+yxGIotn19gDL3Y6YDVBt0OkDrfJgIk/mpAEmJmhxMOhNAv+ox+e3n73/65+m977/oeXr96DfkOoVDDzIBB3rMvOVYNhjBCQWytP3LCgC1KAmgdgeTTgTQ675mv5t5JegMy4/vf/z77t8PwZH9bjMEDsSYmcuxaDCCE1pmyf37wu6ApgNUHfQKgFKPaLoNuWN7RDNCFyDBwaQTAfTjeOzuwnL8+St3t9RR4dCDTMCBHjN3OdwGC9mhphbZvpsAdIOHiVy8XzTOkDu2RzwjcwUS0uQ4mHQigH4YGfkVcc4IAK3ZIXs5Fh0WwkMNLal9JdUO0Atpt2t7yEkFQGmtBOj3X4w7nuNhO/mhp8KhB5mAAz1m3nIIVFNTi+zejQCa9Sx89Gjde2zHOOSO7SEnNf0rUACU0ZWRw5n2bz/3ATqcShr03tE6T6hKCQ3IfC4PZPxTcis2tVxSMo+cWVJKFxXYe2Nr0kqAjueQQoB2V4e6B/AA6MElQU0NLal9Za3Y1GJZyT1wZkkpXRRg742tSRkBurxmqb+8Pjiqv6nwznewLw4Hesyc5ZA6cOUhvDT8QtUcwk9mpkPGRKNBOR4mwheghslb3kJJwGJ7oJ0+RAhaOPQgE3Cgx8xZDglqawBK8ZMzrAqgyzRxQ+7bHkxSljugVUze8hZKAhb8DjR+Fqlw6EEm4ECPmbMcbP+9EOflo9Di23daifGq5Sy8q+oByt8HlpQl30GtUwF0OgtP3PoeuY6pcOhBJuBAj5mzHEz7DU2npZbUvtJwAKhJjkM0LUEBUh2UOg9A3etACVYCoBU75C0Hw7Ox5ZTUCrqX5GcRgKqDPiZAY5khKpDsoNKJAErdiTQf13+FQ/h6HfKWg+HZ2HAKbJHtaxvtJR2g+qDX1oOw27k9mHTSX6GYHQw6EUDJe+HHu5LmU0xLFQ49yAQc6DFzloNrwKHjRG7R3Rs5fmScEgFqCHpdPUjHXdsjnkyyArZsAaCcqKcxXcHZ7Xle90RxK2e9DnnLwbbgreOiH1y4IWK3wDBGle+B0o57tkc8l0EFtk7WbhZK/uV9HuiIzCtPw4eE7jlD4ECNmbMcfA+yunAjxE8Ax4er+zvQiOOO7cGXJ3YRrsXBqFMB1H0i/bzP2WOVfhooAFqHQ+Zy8F3IiVvf717HOD6aGISwKbJW1CPmuF97COWJ3cRgcDBu0skAalfh0INMwIEeM2s5hDZkxK1vB6hiDxQAXTjw1YneBWZwMG4SACqocOhBJuBAj5mzHHwXsmLWDx7DNPsy46VfB1r+TqSo427tIVQnehet3gEAzazCoQeZgAM9Zs5yCG3IiVk/fI7yJGY8ANSg1B1QALQXAHpah7zl4NuQFbN+whH8S933wkcdd2sPtjYZ+AmAZlfh0INMwIEeM2c52DbkFV+fOYIHQAUjrQDQ2JAqAaCndchbDrYNecXXj11ELxgCoAYlAtTiAIBmVuHQg0zAgR4zZznYNuQVHYD4Sx6zLzNgzWfho5b7tQdXG+yBCgJAT+uQtxxcF/K6RAfgH2IRHxEANQgAjQ2pEgB6Woe85aCbjOtNvxVV3Tv7MuPJQfBbIutQAGVSyf0pAIuDUQAor8KhB5mAAz1m1nLEO21sOKkTNe07+zJGiiDWIcGSpmHkmgFqeBBoSrYA0NwqHHqQCTjQY2YtB9NqQ7+Jneh3b9oRvC6IeXE7EQxpmgav+E6kcKOYCpC1UDiYBIDyKhx6kAk40GPmLQfTa2nPA408CFSw0wWxDgnqNBGDxzx3bg8qH/zf8rM6GASA8iocepAJONBj5i2H2GyKThTa9xJZ1Fuomu9AycEjjvu2B5kOAFQWAHpah8zl4HqN3QN1xlq2L9+yjFctZ+Ejg9N++7YHlYzpKjLyU6uDRQAor8KhB5mAAz1m1nLEgTa2mwgtr32Flo17VQ7QVp5In2kHFADNrsKhB5mAAz1mznJwvXbrN7EVvfYVOpbxkoJgN1MlVZqYwQmvXduDzAUPUBzC9wJAT+uQtxxsr73YAZq+A9oCQMkhd2wPMhcAqEIA6Gkd8paD7bUX9pr6CzWC+Jd0GS8A1KAoQAV+AqC9ANDTOuQtB99sZoDKf4qc8QJADYpeSC/wEwDtBYCe1iFvOYRuMwNUbFjGCwA1KHYvvLQDCoD2AkBP65C3HGK3iZ0oda9vHB+vEoBGz8JHhtypPSKZyMZPADS7CoceZAIO9Jg5yyG2m9iJQvcGxvEB0y9jOiFAI4nItwMKgGZX4dCDTMCBHjNnOcRuE1tR6F7flxmulutAYzcdRYbcoz2imbhVYH2mLgBofhUOPcgEHOgxc5Yj7DCv26KtSDxQec0OqCqItVjQpskw9B7tEa/J7VfY+kR1AkBzq3DoQSbgQI+ZtRxBh3ntFm/WcHXxFHx8PGUQK7GgTtM0tKFhk4wmGaZWvCQ5+QmAZlfh0INMwIEeM2s5/BbzGy7ercGn8jVMzHi6IFZiwZCmYeQKAcpUZAAok2ODANDcKhx6kAk40GNmLQfTji/8WfjgU+r8ReDLDJZ8CK8OumjDFjYaxRUk101IpWMoaKFk2ckBOk2HcWb0/60Bb+Ud8paDbTgJoJru9X0Zr2pOIjkCQEvEUNBCybJTA7SdGdI8QC0EpZvX92WsAFCF+BIAoEqWnRmg2aYIALrqTiRl83q+zAi1XEhPpIkbctv2SCmBMUvFYyhpoWSZGqDffXZ394NfvD396E/aNeIqHHqQCfr9fHMEALUcoUuKNa/ny4xQP0AJr63bI6UEtiSVj6GkhZJlSoB2+LwB9O7uQQ3KmAqHHmSCfJufI5VdKXwigEb3fjxfZojaAUq6bd0eKSWwJal8DCUtlCzTAfTGzw6gj3cZCFo49CAT5Nv8HAFAjUZSOtWKNq/nywxROUBpu63bQypBfIEaJm95CyXLVAD968/v7n70p28+vQK0I+gPf2eAJaXCoQeZoN5l5o+tl6IOnGqYg3nLIedTp/jej+fLjFE3QCN+m7cHXwLmQtsaJm95CyXLVAB9vbt79/Z2A2h3EP/OAEtKhUMPMkG9yzSRrZeiDpxqmIN5yyHnU6f40aPnyxSu6rPwMcfN24MtAXejQg2Tt7yFkmUqgD7edaeOBoBed0fXnkgqHHqQCerdeP9ZmwkA7SUnVCP1DigAKhlJYkvA3WpQw+Qtb6FkmQagV2R2+5wDQK+7oGuP4QuHHmSCejfef9ZmAkB7+dmTE0x2r74c8QXlILQeMWX8PTMPuU17jKYJJXgBQANpAPrdZ/15oxGgrwCoyoFTDXMwczmC7MkZJppXvQPKQVARxG4Vj5pu0x6zrb0E4+bWMHnLWyhZdlqA4ix83nJI6dTJwE8Ggpog5hW2rXg0sk3aY00Jps2tYfKWt1CyLOEQ/vEQ34ECoHnLoWhNRfOaAEp4qoNYrGOtd7MAXVWCaXNrmLzlLZQsU55E6vY5B4Be90c/0bOSVOHQg0zQ74sTZbVDXDXMwbzlUPSmontN9YguYvwO9LJlPaKBbdAemgoo/pJHDZO3vIWSZdrLmD4ZAdpdE/pggCWlwqEHmYh8IMyTDA5R1TAH85ZD0Zzrujcwji9iPQu/aT1iYW3QHtoSCBfK1jB5y1soWaa7E6m/er4H6NPd3eoj+FoAiqcxZSyHojnl7uU+DIzjiwCgpDQV6AAqNUYNk7e8hZJlpls5b1p9I1I1ACVnypc13qsGgKoupFcGEa53ikN4TQXuFX9+pYbJW95CyTLlw0S6A/ds/KwIoJ2WM+TL+/sKZ8gpAGp7CCWzCABKSlkCblHBgRYA2mlAaAZ81g7QGm/2PQdA+Y89X2YRAJSUogLCEbzkQAsAza3CoQeZYD9eTpEvuylU3ww5A0CND1FjFgFASa0ugehACwDNrcKhB5lgP17OkS+7KVTfDDkFQIXPPV9mEQCUlKIEqtN4NUze8hZKlunuRLpdQT/oIBfSj1rMkX4HFABNMJK7c1XzvuQEKM7CJ9VAdqAFgPoAPcStnKOIGVTfDDkDQIXPA+P4MgAoLbkGAKgzpEp2gH732XEB+uX9l90/9c2Q4wNU3AHVPM9OHYS/1ikO4cUaKS+DqGHylrdQskwA6NMdpRYP4VWNeJtBFc6QagE6ZVRqTrF5xSVob2oJRRCLtejhORnSNAxeA0ClIikvI6th8pa3ULJMAOjiCvpJ7T2RnmvF+f1hB7TCGVIpQOeMCq0pSt4BVTzQzhIEsemGwNVpmgavAqB8mbTX4dYwectbKFkmHcK/FuDn9gDle9GbQTXOkDoByvabTTI/ZYBaglA6xKRNUzh41HST9lhRA6UDoVMDtJN3Emm9CoceZEJqleHN2w5okoNxhSocVpeD7TebFDug8iG8IQitRUzKNBGDRz23aI8VNVA6UAJAGweo3CruDEpxOCVA2W40Kgc/0x8mwphEpEsTOXjMcYP2UNQgtpDSgdTpAZpdhUP3MyF3Sv/Wl/fjR/XNkIMDNMsOKADaKxWg4t+S0ziQAkA9ffff/i5hLUeFQ/ckTwlnBvUf1TdDKgQo241GKfhZ9E6kqElMqjSRg0cdy7cHn179swRrmLzlLZQsUwJ0eS6pretA5Slxm0DTDKpwhhwboJodUABUqUSAqr8BrWPylrdQskz9QOWcAP3a0fJVCdFTIljAmUFWh/IxlHBYWQ62HW1S8dOvCrOIFITeJCZVmsjBo47l24PNLl+DVb7l26OEhZJlKoB+8+kSoA8GWFIq/LvDEz0lggVcgBodsAe6SrodUOyB6pS2B2p5FmsNk7e8hZJlyj8q1/1NpKf+j8k9rucnAFrFHFxZDrbhTNLxEwDVKVp4LremZ1nXMHnLWyhZpvyzxt3Nm8Pfg39a/1DlwqH7mZCmRP/GlwCo0YhtOYvSAJrxYSJxj5gaPAvP5hYAJYZUSXcdqPt34a84fdCzklTh0P1MSFMimEL1zZAjA1R5BK8AqDoItUdM7QGUz63hFFIdk7e8hZJlSoA+zP8Mh/JrVDj0IBPSlHiZLwLtVd8MqRGguQiq5KfiEF4fhNYkpvQ7kSJvlgaoVAPLH5SuYfKWt1CyzADQ665nfxf8N5829zQmYUoEM8juYFQNc3B9OYSu1Em7AyoD1BKE0iQmbZrIkWm7su2hKIL6/tYaJm95CyXLDAB9e7zten7zaVvXgXYO/JTwdkABUK2EtlTJ56f2RnVmCU0QOpOY1GmaBv6aenM5ZMH2kGpw+2OcyoTUMHnLWyhZpjyJ1O96Pt0eBPra2IX0IUCDXvzyHgBNM7qlS+hPqXd1opzpJZK+oSRNYrJ+VbyoB21XtD2kIrxEAUpkpIbJW95CyTLVZUzDiffXu/4s0lN7D1QWZkXQxXYHo2qYgxnLIfSn1Ls6eb7MIiuuxVKut6YeEb+i7SHUQH0bfNyBEQD6zac9Oq//XNH5eneAk0jLaTE8SNncRrODcYUq5mDOcvANKvWuTr5xfJH0Swm0q62oR8yxaHusqIHSgREA2t/K+W6+o/NBz0pShUMPMiFNi3AGWR2Mm1TFHMxZDrZB2eZVLxkYx5cBQH3xNQBAySFV0gH0rz/vqTn8gY+1O6A1XAfqzot/T0wgm8PpAZpKUMMOaJE90NS6p9cj6li0PfgaAKDkkCppH2f3enum8mOOv+hRG0Dv77lrYjQOAGgiQalfXdpOji8CgHria2DkZxWTt7yFkmVnfaCyMzGu/ORO6WocANA0gFK9qwUoswgAupS9CGxCapi85S2ULANA6R1QfS9dANBOfJPGepfKurKVmUUA0IWkIljuQqIdeAGgvv6P36WsNatw6H4mhJkBgOYwErpU27rMSJ4vswgAupBcBNuNWTVM3vIWSpYlAHT945gKhx5kgp8ZMYDqCQqAJgGU5qf2ekRmEZyFdyVVQX/zV8xB0MkB+tSdeJ8vne8ernwogP776CGMwcG4SVXMwbzlENqUbN3wLk5mJN+XWQQAdSUXwXhXVg2Tt7yFkmUSQKeH0d/OvXfXM7UHUPZILf4VkMXBqBrmYN5y8G1Kty59+a22HPFldEHcVti+4hHHUu0hVeElvgeqdJB0ZoAOV36OV8/3e6Or7+TcHqDMjgZ1EeiW7bSfQ95yCH1KtS59BL8KoLelNEGsKvi6etCORdpDVwTjk1VqmLzlLZQsEwD6dCNnt+P5oz/l2f182wOg8R0N5hykzcGkGuZg3nKIrUr3LpVxZTniiymCWFXvtfUgHQu0h6YI3IeKUDQ6MUCHO5Deuivof/CLxxy3cXYqHHqQif4felrk2AEFQC8JAKVugGGH8nyZuslB7F1xwi5/e6iKwH2qCkXWuQE6HK9/8+ndf5HjLs5ehUMPMsF8mGMHdO8YEh3ylkPRrXLvXrixPN/4yHIQ0TW1KtqwmYwSayCno4bJW95CyTIeoN99NiKz/zL0djvnehUOPchE/LMsO6AA6MUO0PgOaGQw35fp+2SAbnEWPj5k3vbQFYH7NDmUILLUGPa0ULLMAtDVJ49GFQ49yET8swyn4AUHWjXMwbzl0PSr1LvjkKqKMGNLQcTX1AZ9IIDS95lwyahh8pa3ULLMANBc+58VATS+A5rLIaIa5mDecmj61e/dWM5VJWHGTgfoFg9Ujg65fT1YgKaHEkSWGMOuFkqWGQCabQe0HoCuv4ZecoiohjmYtxyqhvV6N5ZzVU2YsQHQDABdEYonAPTtoADNcwAPgHZSNeyydaMpV9WEGRwA1R/BRx4VwSWihslb3kLJsjMDNBc/AdCEHVAu5aqiMIMDoEqAvvRn3Kx5qGHylrdQsgwAXdFGokNUNczBnOXQtOuidenb4EepahIfHQBVX8R0oQG6LhRPAOjbyQBa3ww5GEClP0JFrRMYR0cXg4hvmDbo+gGqKAlzG/y6UDydG6CUmnuYCK0YQCucIZUDVG7WsHW5ltW1dGx0XAfaSS5Cwm3wulA8AaDNApSfDxGA1jhDjgVQ7hrQXqqGjo2uCCK+qlJr60G4ZW4PRRVerE9SJkORBYA2ClBhRkT5WeEMORhAhY7V9XNkcFUQ0VWVWlcP0jBre2iKkHQXkh+KRicGaCEVDn2QMCViF9EbHEYBoCaRresOqWroyODKIGKrKrWqHrRlzvZILYIuFzVM3vIWSpYdF6DSnIh+A1rjDDkSQOnEu0OqOjpWPFUQy5VoA05r6hEJK2N7pFchnm4yFJ0A0NwqHHovaVJ8GednhTOkcoCaCCrugOpODDMLWL8D3bQesa3O1x66IiQfwVcxectbKFmmAuhjhocouyocei9hVkR/A+sdZgGgmp5lW3cxpKqnmQUAUEUV2I91oSh1eoDOTwXNpMKhd5KmBbcDWuEMqRygmpZlW3c5pKqpmc/N14FuWI/oZmdrj/QqxFIdCUWr0wN0vpw+kwqH3kmYF7EJZHBwdHCA8j2VA6CUodjV8Y8BUF0VUi4CvdQxectbKFl20j3QyA6oxcHRoQEqtZURoOyDlH1Ly1JsEML4pwPoGn5WMXnLWyhZpvoO9DXPn0KaVDj0TsLM4M8E1zdD9gOo2FhmgMoNq+zr6KcAqFiFl8SL6N1QtAJAu7+IlHMftHDonfiZEbkG1OTg6MAAlTvLBlDNDqj6MvfYhwCoWAWGnwDoMKRKyu9A27sTiZ0YwqWI9c2QvQCqaC3bWXjFN6Cx4QjvyGc4C28vAp9oOhSlANCjAZT/BrTGGQKARvqa/AQAlYuw4pFUNUze8hZKlh0WoMxlLuK9MPXNkJ0Aqukt6yG8ql9T+joWhDj+Zdt6RILK1h6qIqx5pF8Nk7e8hZJlh70TKf6rXr6XsL4Zsi1Ap3zIzXV7V+7ZuXV1Datt7PlDZxlFthbjxoePaVU96JiytYemCqueiVrD5C1voWTZgQEa+1Uv34td3wzZEqA+WZjmknvVb11lvwoFEhbTZGtegd8SWuvqQTpmaw9FFTiA2kLRCADNrcKhz6JmheJWmPpmyIYAdZMidJfcqkHn6vpV2dikx8W6BypsC6mm90A7fiZfw3SpY/KWt1CyTA3Q7ovQH/zi7SnH5UyFQw8ysXgJgE5jUuXge28xgNipYefqOlbZ2NFtNH4HyprEcqdedFBF34HeU8cWhgzUMHnLWyhZpgTo7TxSB9Ac19QXDj3IxOIlADqNSZSDb72LflG6c1U9q/Bm/c1n4RmTaO60S47a7iy8WIX4KSRjKEoBoON5+CtAH+8yELRw6EEmFi8B0GlMohx87130i9Kdq+pahTfrf26ASlWI/BozhF/D5C1voWSZCqB//fnd3Y/+9M2nV4B2BF39cLvCoQeZcF9pjiPrmyFbAVRqPsOi+s71tkvhLfib70SKmsRzp1xw0lZ3IjGx3cReRW8KRSsA9PXu7l13P2cH0O4g/p0BlpQKhx5kwnkRaeOMDirV4ECVQ+o+w6L6zvW2S+Et+J8YoExog1Y8x84LRSsA9LG/E34AaIZnMxUOPcjE/LPuREZ9M+QAAI3v+XjbtXKxlzMDlIls0JoHgXqhaHV6gF6R2e1zDgC97oI2cScS5fAi/0XIlQ5K1eBAlUNqP8Oi+s71tmvlYi8nBigT2Kh1t8EvQtHq9AD97rP+vNEI0NeWAaq6Faa+GdI+QJk/wuNt18rFXs4LUCauUSufI7IIRSsA9CgAfXkhHiOS1UGrGhzIcvDtp1/S0rn+hukWY7zOehaeScmoDPysYvKWt1CyLOEQ/rHZ70CDNs7uoFUNDmQ5+PbTLxl2bm6AMhtwUoDGEzIpxw5oFZO3vIWSZcqTSN0+5wDQDH8hqXDoQSbGn4Id0OwOWtXgQJfDyw+TLkW/up2rB6jyQtD4eCe9E0mqwUueHdAqJm95CyXLtJcxfTICtLsm9GHx6cf3V/3MW+Ur6s21M0QZuqvF1Ah+AedwuBwLoG9eeqLZUrSr27mmy7fTl+qXVGRLuSHx3KkXHUbe4F74dVXQh1/D5C1voQHjm/ZOpP7q+R6gT3d33hH8h/e9fvJH572//Pr25o9/vy9Al7Mj/AZ0vUOvQwHUfwJLLFlyuy4613b/i26x2HCabM2Lc9sRk7oe0+AbPI1JUQbuQ7VPDZO3vEVWgC4eqbw8hXTd1fzV29u3n7//6Z+n977/okfn8s0dALqcH+Ev4PUONx0LoMvnY0bTJber27nm2180i8VGs+2BLuPVSVuP2OYTjhsAdP1NSL1qmLzlLbICtD9wJ/l53df8VffvFZa/md78OOx6Lt7cHqDi/FntMOhoAHUUz5fYritbV14sOpzxO9BLsXoownSGXN0ea4oAgAZD5gTohFD/CqaP47H7B+cbzw/Dnud1T5T8GrRw6IPECbTaYdRxAco0mdCtht6lN09cLD6e9Sx8qXqo4pyHXN0ea4oAgAZDqrT2gcojK6+H8vO3oBNMP9QM0PUOowDQAq0rLhYf76QALVEFSjVM3vIWSgAqL6SPXbg072N+JM4Yjcf3vgqHfpM0gdY7TDosQLkuk9p1kXn2U3rzpMWYAc13IpWphzLQaci17SFWAQA1WCjA2En/VzkfqI+uAB0Q+e3nIUBdqL53pNy2dRLmzybb0LoINMU/S+3cSCmkxcwD6ofOpI1s4n6WMhTetsNKdQj/zaexv2Y872MSAL1+OJ+FrwCgmDA28W0mtauycaOlkBYzD6gfOpM2son7+XWwFwGSpP0OdGCofyjvAtQ/4379bHFx6KzCO983BdNH+w1ojccoexzCU23mLCm1q7Jxo6WQFmMGxCE8WYY8FzHVMXnLWyjBaDiJ9Dr+WY8lJGN7oNePItfR7wRQ/Yypb4bsAFCpz4R2VTZuvBTSFLvQcAAAIABJREFUYsyAAChZB3MJIqph8pa3UFLRdhb+xlDnTqT4d6DdzUjkRaArZogy9EHe9NHvgFY4Q7YHqNhnQrvqGperhbAUM945z8JLZVj9t5BG1TB5y1sokWi+jKm7HnT+MtQ9C784Xr8e0cf2P3cCqGHK1DdDKgSolqDiDigAOgy5sj2kOpgLEFMNk7e8hZKHNoA+BjcjOdeBurdtsvzc404kyw5ohTNkc4AqGk1oWDrxhv4VFmKGO+WdSCvqoLUYVMPkLW+hRKIeoE/krZzknUgdPyPnj1bMEHXog5bzxzJp6pshVQDUH0BoWblxuVKIyzCjWe+FL1cPKcrFkOvaQ6qDtQBx1TB5y1sosagD6Ct9I/xb5F74+Pn3NTNEHfpNy+mj+UseVodJ5wBoOIL7Yaxv0wCasIizpCZby6GL1WOyMTRskpEA0Gyn4C91TN7yFiowWi6k9x9jN4h6GtNX3PF78gxRh97Lmz+meVPfDKkBoIajaGXjRuugKRUzlOEbyuHngvUYbPYGqK0ArGqYvOUtFGDspAVo/M8guc8D/f6LjqPj00Cjz1QuHHqv5fSh5886h1knAWjKE0GTAKoqFTNSk/UoCtCcO6A1JGsDi8wADa4AneU8kf4G0Ovu6O4A9eaPberUN0NaPQuvOYLXfbcabn98oSbrsbI9hDpY8r86FE+nB+jbdPqdviHerMKhd1pOHwCUHJMrh5wvvmWFzHNVUNYqvkyT9VjZHullaDFZG1goWaY/Cz9+E/pOvUZUhUPv5M4Q4m8ZR7tS7+CoyYZNOIQ334mk2gFVfjPgbz6zTJP1WNceQh2Yz5pM1gYWSpal3IlU6V/lnFvInz4AKD0mUw45X3zLipmPF2HFYl4QelVQj3XtkV6GJpO1gYWSZSvvREpTidDnJrJMn8TkempzDrLlkPPFtqymc2NFWLPYMgitqOF5NQZQLvltTt7yFkqW2QA6PJNp7VF8gdC56QOARsZkyiHni21ZReqjRVi3mD1bMQNOlQF0RRUanbzlLZQsMz+Nib4a1Kb8oafOn8TkempzDrLlkPPFN62Y+XgR1i9mylbcgVFd14GuqEKrk7e8hZJlWoA+Re5ESlL20FMnUGpyPbU5B/lyyPni27bPvLwIVQXdYsxwlmyxWxJVVXciSVUAQFMslCxTATTvRUwbA/RLADQ2JlcOOWFC36p3QHMD1HRUKmxKTAlfTcpDJraHlF7hCKzNyVveQsky/YX0GS5fGpU79DXzJym5ntqcg0I55ISJnSstEKuCajFmvGoAahk7uT2k9AKgSRZKlikBmuGLT0e5Q0+dPgAoV45IwpzEpTeuUATVcvERV5x50ax40dbDNHZqe4j5FY7A2py85S2ULFv7d+GTlDt0dvqwkysxuZ7anINiOah8uZnj+zZ9BzQytGaZm1Z8cSivGKRJ7SENmdYeUnqlb7DanLzlLZQsUwN0uBEpy1mk3KGnTZ/4nK5vhtQCUDd1/MdrdkBVAGWGXHHcK64YpknvIQyZ1h5SfqVvsNqcvOUtlCxTAnS8jzMPQnOHnjZ94lO6vhlSyyG8Qbn5mRWgts2hcqdYyDZ4YntI+RVPobY5ectbKFmmA6jDz/hTmfTKHnrK9GGmdH0zpJaTSHqlXQPKWasW6rWCOmLW/DRZXIQhU9pDyq98CrXNyVveQskyFUC72zeHa5hec1xKnz30+PwR5ldicj21OQf5ckidKSnlHiTWWrdUr/MAVMywfA1fm5O3vIWSZSqAvjrQ7GD6oBw8pvyh26cPN6PrmyHNATTpOXastW6pXit228SseWky2QhDJrSHlGHucViWUBaqYfKWt1CyTHkhvfPF5/VwvpKnMbnTIDJ/hPmVmlxPbc5BthxSZ0oqvgNaBqBi0rw02WyEIe3tIWZYcRNJm5O3vIWSZRqAXnc63avon1Yfw2cJ3ZsJ80tu+uguba5vhrQG0KSniFwYa+ViN1UC0PKXMYkZBkCTLZQsU15I/+C8fK3icXbhVJh/js8e3c119c2Q5gCqWoreLuWSzLjJABVz5qfJ5CMNaW8PMcNxgBpDcVXD5C1voWRZqwAVZyY9ey7BnmvUwaA25yBbDrE1hcZVLUVvV7ic8ATYYNhUgIopC9IkyDJ6SntICVbws9HJW95CybJGD+HlmU9On+kjfjrXN0MaA+iaI3jiq8ONACpmLEyTJMPoKe0hZVjzGJ02J295CyXLGj2JJE79fvpEAKpysKjNOciXQ+rNxMbVVCNYLBJLdNgkgIr5ItMkaRq+zOPshDIodkAbnbzlLZQsa/MyJnH20/PH4GBSm3OQLwffmqmNq6pHsFQsltigZoCWrIcQgzNkQnukliEtlEE1TN7yFkqWtXkhvdSK9PyxOJjU5hwUysH2Zmrj6griLxeNJTKm9UL6KuqR0h6pdSgciicAdHkr5/qb4VeHLrVi91bwx4xNDia1OQelcpCNN/+Y0rjaimiXjCwHgAp1KByKJwC0uoeJCA1GTh+bg0ltzkGxHHTjjT8wfZsfoCqCkkHo1qugHintwacXAF1joWRZm4+zE/qre2fFDmiFM6SOPdDF6gl9y1eNH1pelAxCYdG9rKAeKe3BpxcAXWOhZFmjD1Tmu4ucPUYHi9qcg0I5RIrZ+5YdThpYWpgMIq7lehXUI6U92Owq/xZYm5O3vIWSZbrLmPL8Mc5J60Pnm4uaPVYHi9qcg0I5pMaL9+2mAKUu69Vly12vgnoktQeXXeXfUmxz8pa3ULJMeSF9dX8Tie0tavaYHQxqcw7y5RBbL9q3an6aHiZS4D4hRxXUI6k9mORq/xhtk8nawELJMuWtnGsvnV8qR+hMZ1GzJ8FBrzbnIF8OsfWifQuAJjkktQeTXO0f824yWRtYKFnW6h4oc087NXuSHNRqcw7y5RB7L9a3en4CoMshE9ojnlvtDmibydrAQsky7Z1IDwY+isoUOt1W5OxJdFCqzTnIl0PsPXvjCp0sDAyAhmJyq+Vnm8nawELJMt1Z+G8+zboPWjL0SBNndAjV5hzkyyE2X6xxAdA0h5T2iKdWvQPaZrI2sFCyTPkd6FIVPM4uqsjsyegQqs05KJRD6j1z48q9zI5siL3JeqS0Rzyzan62mawNLJQsOxpAY12cz4FQm3NQKIfYfMbG1bVzdGAAlFA0rbpr6EuFsrkDAJot9Nj0yedAqM05KJVD6D5j46obOjY0DuFDRbOq3wFtM1kbWChZ1uidSFHF2jifA6E256BYDr77yL4189NAUH3sTdYjoT2iOTXsgLaZrA0slCw7IkDX8rPCGVIJQKWTSAn81BNUH3uT9bC3Rzylhh3QNpO1gYWSZY3eyhlTbPrkc6DU5hyUyiH0H9W32QAqfX8gRaZf9qYK6mFvj2hGLTugbSZrAwsly9q9kJ5SbPrkcyDV5hwUyiE1INW40ZZmnx9KbJtysWhk+mVvqqAe5vaIJ9SyA9pmsjawULKs2Vs5KcWmTz4HWm3OQb4cYgMSfZsNoNrmj0amX/amCuphbo9oPvXXgBYKZXOHygHayh5obPocYIa0AFD+AB4AFYc0tkcsnVwdtgllc4fKAVrrrZy++ikSPkj5CDNkc4DKDWhqXBtA1c0fjUy/7E0V1MPcHrF02nZA20zWBhZKlh3oVk56+hxjhjQAUOExTACoOKSxPWLpBECzWChZdpgL6Ycp4u+AZnSIq00HthxyBxr6tl+T+ciXvvtjkemXvamCetjbI5JO0zn4RpO1gYWSZUcBaHT2HGOGAKAAaKBIOqOFiPnaAqkiWRtYKFl2EIDGJ88xZkj9AJUepAyAikMa2yOWThs/20zWBhZKlh3jTiRm8hxjhtR/Fl7ip+kxdYb+pyMzLNyrgnpY2yOWTuMOaJvJ2sBCybJjAZS8hv4IM6R6gIo7oACoOKSyPYZsxNJp5GebydrAQsmyQwCUmzzHmCHVH8Jn5ee6GzkbrYeyPdg0c4XYMJTNHVoA6PBFaJa74rOE7swKZvKscVCrTYd4OeLt6Swp9a3/Z/8MfW0CABmZYeFeFdRD1x7x0oyFUJSudCibO9QPUOc8UgaEZgid6k3ql2+6g0FtOsTKwbWns6TXt8TZu+Va+ra2AYCMzLBwrwrqoWoPrjaROkjpazJZG1goWaYD6OI8/A9+YWAlqfWhL2dGfPKkO1jUpkOkHGx/OktKfZu+B6pfMhqZftmbKqiHpj3Y2twKEftgy1A2d6gdoH/9+d14M+fr9afVNyWtDt2bGuPkIfaCUh1MatOBLgffn86Sur6d11N3tnpBJjL9sjdVUA9NewhZTtkBbTNZG1goWaa9F36CZgfTB+XgMa0N3Z8csdmT7mBTmw5kOYQGjSwoPwiUGdrfLu1yXGT6ZW+qoB6K9pCSbD8FXyaUzR1qB+ij+8VnhofbrQ09NnvuyUlzhBlSG0DZxEdWlMaUNkEfe5P1ULSHmOWEHdA2k7WBhZJlysfZvXNePq0+hl8Zumr2rHIwLt+mA1UOqUPpxTQPotffiaRcjI1Mv+xNFdRD0R5ikhP42WayNrBQskx5K+eD8/J171s5NbNnnYNx+TYdqHJIHUoupfpLHgCoOKTYHlKOU3ZA20zWBhZKlu0C0K8dLV+ppJk96xyMatOBKofUouRCqr+ExAztb5hyMS6ytbnZwUHRHlKOY4XYOpTNHcrWg9VxDuHpU/BpDsbl23SgyiG1KLWQ7k/JGR4molyMi0y/7E0V1EPTHnyKk3ZA20zWBhZKlrV4Ekk9e5IdjMu36UCVg+9Q8oJO5Z/iXP00JkPsTdZD0R5Ciu3XgBYKZXOH2gFa+WVMnYK/5DHPnCPMkJrOwvttq9sBtXy3qVyMicywcK8K6qFoDz7FxgcpFwxlc4faAVrbhfT62ZPqYFObDmQ5+B4lACo9hmlekRtzKd1SXGSWpTtVUA9Fe7AZNv4lj5KhbO5QO0CXt3Kuvxl+dejBFKF3QF9wLzw7JlUOtklJgPJrOC3MfLSUbikuMtPilyrqoWgPNsWJO6BtJmsDCyXL2nqYSD8fvHvh+dljdehV3wzZDqDyvfDavg1XjQ7pS7UQF5lt+SrqoWgPNr8AaF4LJctaepxdvBfZw5cjzJANASo+jcnLvBag0YcAE5vmLVFDtoo7aNqDy27aOfhGk7WBhZJlDT1Q2Z0TyrnzAoByY8bKQeV4bkZ16pWitm25QA3ZKu6gaQ8ujbFK7BDK5g4AqEIJc+c2f44wQ7YFaK9YN3qZXw9QiaB1ZKu4g6o94klM3QFtM1kbWChZZgHoN59mOoZPCZ3rQAA0xYEvRyyb+syrRW6d+2kN2SruoGuPaBJT+dlmsjawULJMBujT+Azlx+Es0trL6AHQOhz4ckSyaci8WpHtmz+rIVvFHVTtEc1h8g5om8nawELJMgmg4+n3dz1IMxE0IXS2A/lL4I4wQzYHaCyd+szrlSEWPzLjCjU4aNojmsJ0fraZrA0slCwTANpfQt/rn392u5b+McPf9EgInWtAfgf0EDOkFoAaMq9Xhlj8yIwr1OCgaQ97IXYJZXOHegH6ersF6cbRh/6tp7vFo0VSlBA614A8Pw8xQ2oFqG4xXjli8SMzrlCDg6I94nVIPQVfJpTNHeoF6OOAzY6gwx2c14P6HZ7GxDSgdA/bEWZInQDdaAe0imwVd1C0h70Q+4SyuUO1AL1yc4DlvN85v5eshNCZBpTuAT7CDKkSoFvxs4psFXdQtIe5EpoNazJZG1goWcYDdN7bfJ2fwfS4yxPpzZMHzwMVx2TKoUHfVvysIlvFHRTtEa9E/FE6oppM1gYWSpaJAB1OuVcMUGnaHGGG1AjQbc7A62LxIzOuUIODoj2slVBtWJPJ2sBCybJmAKr8U5zErDnCDKkSoIplBGWLxY/MuEINDpr2sFVCt2FNJmsDCyXL2gFoZPbci5PmCDOkQoBKO6DyEBlj8SMzrlCDg6Y9bJXQbViTydrAQsmyhgBKTh9n8sQzoXYYVN8MqQ+g4gG8Yox8sfiRGVeowUHVHnQpVmW3yWRtYKFkWUsAHZ8H6kySL2V+HmKGbA7Q9D+h69ZDsUieWPzIjCvU4KBrD0MllBvWZLI2sFCyrC2A3kKnJw+TCbODcfk2HfhyCOyTH8OkGCRfLH5kxhVqcFC1B1mKdcltMlkbWChZJgKUUjUA1eyAHmKGVAhQYQEA1OigaQ9LJbQb1mSyNrBQsqxFgF6oycNlwu5gU5sObDkkPKoAqlgkUyx+ZMYVanDQtIehEOoNazJZG1goWdYiQKnJw2bC7GBcvk0HthwC+hQPUpYHAUCXQ4rtQVdiXW7bTNYGFkqWtfNE+jl0Yu7wmTA7GJdv04Eth4A+xUX08iAA6HJIsT0slVBvWJPJ2sBCyTIAlHIwLt+mA1sOnnyav+QhDgKAekOK7UGXYl1u20zWBhZKlgGglINx+TYd2HLw5NPcxSkOAoB6Q4rtYSmFesOaTNYGFkqWHQOgQibMDsbl23Rgy8GTTwlQnIU3OCjaw1AJ/YY1mawNLJQsaxCg1OThM2F1qG+GbAtQEY55AJoxFj8y4wo1OGjag6jE2ty2mawNLJQsaxigbhfzmbA61DdDtgSozEbVc5i60eQlMsXiR2ZcoQYHRXvoK2HYsCaTtYGFkmXtAXSePMoJc4QZsiFAFWxUPYfpko2fVWSruIPcHvpKWDasyWRtYKFkWbsAvQdA1znQ5VCgUfcg0Eu2r0CryFZxB6k9LJWwbFiTydrAQsmy1gDqTB7tjDnCDNkMoBo06h4EKg+WMRY/MuMKNTgI7WGphGnDmkzWBhZKlrUFUHfuaHdADzFDagKo8kn0isHyxeJHZlyhBge+PUyVMG1Yk8nawELJsqYAupg86hlzhBmyFUA1ZFQ+iV4zWrZY/MiMK9TgwLaHqRK2DWsyWRtYKFnWEkAXc0e9A3qIGVIRQLV/Ckk3XKZY/MiMK9TgwLaHqRK2DWsyWRtYKFnWEECXk0c/YY4wQ2oCqGKZsSrKxdbH4kdmXKEGB649bJWwbViTydrAQsmyRgGqvQbU5jCqvhlSD0DVf4tTOR7+Lvw0ZLw9bJWwbViTydrAQsmydgDqTpEvDTugh5ghFQFUwUSnLOoF18XiR2ZcoQYHrj3IQuThZ5vJ2sBCybI2AXqvP4V0jBlSDUD1fwxeOyIAOg4Zbw9TJYwb1mSyNrBQsqxJgHpzR8yE0mFSfTOkHoDKQPSrMrxSLJkeix+ZcYUaHLj2oAoRA2gFoWzuAIAqtJg8lg48wgyp5TpQ/Q5oUBT9kgmx+JEZV6jBgW0PfSVqCGVzBwBUIWbySJlQOkyqb4ZUA1Dhc6Yo+iUTYvEjM65QgwPbHkQl6FJUEcrmDgCoQszkkTKhdJhU3wyp5RA+fQcUABWH5NojKAQNUI1R4GtcoUIHAFQhd/KYOvAIM6QSgBqO4LEHanRg20NbCY1R4GtcoUIHAFQhZ/LYOvAIM6QWgAqf+0Vxq8MvuTIWPzLjCjU4cO1BVAIALWyhZFkzAGXmjpgJncOs+mZIHQC17IC6592FoTPE4kdmXKEGB6491KXQGAW+xhUqdABAZTlzx9iAR5ghlQCU/9iril+h6IIZYvEjM65QgwPTHlQpYl+B1hDK5g4AKC9p6kiZkB2Wqm+GVHEW3rQDGlaI+2xtLH5kxhVqcIi3h74UKqPA17hChQ4AKCd/7lhb8AgzpA6Ach8Kio+dJRY/MuMKNTjE20NdCp1R4GtcoUIHAJSRP3UA0EwOVDk4Bq7YAWUO4vPE4kdmXKEGh2h7qEuhNAp8jStU6ACAxhXMHXMTHmGGVAFQ7kNRkeEzxeJHZlyhBodoe6hLoTQKfI0rVOgAgEYVTB0ANJcDVQ6GgKt2QJcXMy1+yBKLH5lxhRocou2hLoXSKPA1rlChAwAaVTB34r0Zz4SczqXqmyE1AFRkJKuysfiRNegQbQ9tKbRGga9xhQodANCYgqkDgGZzoMoRB+DKHVAAVB4y0h7aUmiNAl/jChU6AKAxaaaOnAk5nUvVN0MqAKielVx7F4rFj6xBh2h7KEuhNgp8jStU6ACAxuRPHfMpeNGBUn0zZHeA5tsBbTRbxR2i7aEshdoo8DWuUKEDABqTPHfkVB1hhuwPUBsvX/yRCsfiR9agQ6w9lKXQGwW+xhUqdGgboB/fX/Uz6v1fRdbQh+7PnXny6E/jHmGG7A1Q+w7ocqjSsfiRNegQaQ9tKfRGga9xhQodmgboh/e9fvJH7/2//DoDQJdt+CX2QDM6UOWI4TDfAXyr2SruEGmPoBICP2sIZXOHlgH61fuOk99+/v6nf168f+VndoAmnUM6xAzZGaAZvwFtNVvFHej2UJbCYhT4Gleo0KFhgI77mVeC/sZ9//o6C0C5B9FT3UlmQlrCV30zZG+AWonJ1ajNbBV3oNsjLAUAuo2FEoBrAfpxPHb/sPga9Hpc/y//TRaAcs+xI7qTzISUK1/1zZDWAYqTSABoQYeGAfphPHT/yv0W9Lr/+avvv8gM0NQ/hH2EGbIvQNcewb8AoLkAGv9bSGqjwNe4QoUO7QL0Sslhx/Pj+x//fnr723/957f8ANV0J5kJMZudnp+nH+ubITsD1IpLtkZtZqu4A90eQSnEr7EqCGVzh6YBOlDy288dgC4/6vXekcVBmjqd1sVw03OnHAM1LTK9GXZA89TofApLQdZi7808sVYCdL5WqRBAnblTtjmfQdC3GECNrCxWo/MpKAVdi70388TKCNDlafhMh/DS1OkVX707Lh8chkP07h/naN1ZspNy995Tm0dBVDmo7GbZAcUhvDxkWA9lLWxGga9xhQod2j2E1++BuuJDv80J57+3qSM3Z8jFZwqgzwDoMGZYDiq7WfgJgMpDhvUIawGAbmWhJOBm34G64kKP9B85c56fF/Mn3McEQNkxw3JoM29W4Vj8yBp0oNpDWQubUeBrXKFCh6YBOp2F927mTANorAHJmfN8I+i4bohIAJQdMyyHNvNmFY7Fj6xBB6o9lLWwGQW+xhUqdGgXoO51oN69nEkAjfUf/av3BtBpZQDU5ECVQ5t5swrH4kfWoAPVHspa2IwCX+MKFTo0DNDInUhvaQCNtd+X9MzpATqvDYCaHKhyhDnOw0+3y9vMVnEHsj1UtTAaBb7GFSp0aBigsXvh8wI08qvXAtBnADQYMyyHNvMaxR4J2ma2ijuQ7aGqhdEo8DWuUKFDwwCNPo0pBaCxVozNHAB0jQNVjjD1LCM5hWMVjMWPrEEHuj0UtbAaBb7GFSp0aBmgi+eBXqE5cXQjgDpDAaAmB6oc2synqVwsfmQNOpDtoaiF2SjwNa5QoUPTAHWfSA+AKlWDA1WOIPMmQIoqFosfWYMOZHsoamE2CnyNK1To0DZA7YqFHus7F6DuUs9LEmoB+gyA3sYMy8EkPotKxeJH1qAD1R6aWpiNAl/jChU6AKA3RbrO/UseXejTCyNAHfnr9D88j5fg1zdD9gJoCiQ5lYrFj6xBB6o9NLUwGwW+xhUqdABAB9FTZLkDeg19fKEC6G2h5yhAn+eVb/9/rnCG7APQ7Dugff3azFZxB6o9NLUwGwW+xhUqdABAB5Ez5MslP/vQby+iAF0erw9cnP4BQIcxw3IsM5+fnwAoM2RYD6cU6qeJVxDK5g4A6ChqitwTAL1JB9A3ADQyZlgOL/MraUn3e5vZKu5AtQfdBH5CjUaBr3GFCh0A0EnhDPF3QDmAPg//cAC9AKDjmGE5Fpk3HcFHzwAG/d5mtoo7kO0h1iLBKPA1rlChAwA6K5giyzNIlzhAnwFQkwNVjmXmdUwcS7N8HV+uzWwVdyDbg+oCP59Wo8DXuEKFDgCoq+UM8Q/g8wN0+RA8AFTqWaccy8rQHwX93ma2ijvQ7QGA7mWhZFmFAO01t3EwW1IAOl+kBIDOY4blWABU4OfLtEKwtj8UAJoK0DeenwBoMQslyyoF6NzFAGgpB6ocLj/lI/jQyG3q2AptZqu4Q6w9bsVgS2AzCnyNK1ToAID6mts4nC1rAequ5l4yCoBeFud9RX4SAL3QYy3q12a2ijvE28O0A1pDKJs7AKC+pi5mALq8HokBaP8XNwHQcMywHA4/1wPUR2jBWJZq0oFrj3vuO2WrUeBrXKFCBwDUF93Fy9AB0HUOVDkcgMr8lAHqjlo0lqWadJDaQ8nPGkLZ3AEA9TR18QYAvYxrAaDKvyJNAzTa0VvEcgAHqT2U/KwhlM0dAFBP+QF6AUDDMcNyzABV8NMFKN/UxWM5gIPUHtECWI0CX+MKFToAoEvNbQyAlnOgyhFJvAhQoamLx3IAB6k9ANBtLZQsqxGg0/z4EgAt6ECVYwKohp8zQMWuLh3LARyE9ogXwGoU+BpXqNABAHU1zw9/P2gZ+kqAPo/LPfs/VThDNgao8i740UjR1oVjOYBDvD2EAliNAl/jChU6AKCupukR/jHjRehrAPo8U/Pi/aRJbpBr4wpVOFDlGAGq4icAmtMh1h5iAaxGga9xhQodAFBH8/Qg9oPc0J91ury9DWAd/+MQNjG5Qa6NK1ThQJVDB04PoKq+LhvLARwi7WHlZw2hbO4AgM6ap0e4AyoA9EL9dIwZUiVARyMANIcD3R6KAliNAl/jChU6AKCTnOnh7IA+P3f/638YQvfvaWczYchrr/pmCABqUZMOZHvY+VlDKJs7AKCjRly+TDug/QsAtEKATkYAaA4Hsj3s/KwhlM0dANBBLw5A70eAPvf/AUBzO1DlsPMTAM3kQLVHAj9rCGVzBwD0phcHoOM3oD5An58B0DwOVDns/MRZ+EwOVHsk8LOGUDZ3AEB7jXOjZ+U9AFrYgSoHALqbA9UeCfysIZTNHQDQTtPk6Fg5nUECQEs5UOWw8xN3ImVyoNoDAN3PQsmyegA6T44eoPMLALQ+gHpGAOh6B6o9EvhZQyibOwCgFw+g9wBocQeqHHZ+4hA+kwPZHnZj9bObAAAd2ElEQVR+1hDK5g4A6GKqPD9/6V4CCoBuBlCRm0T7AqB5HMj2sPOzhlA2dwBAPYDeA6DlHYhySPykjWwN3mi2ijvQ7WHmZw2hbO4AgPoAdV8AoHUANGoEgOZwiLSHlZ81hLK5AwAKgG7vQJQjgZ8AaCaHWHsAoPtYKFkGgKYk9xAORDkA0P0cou1hTG8FoWzuAIBelmfhB4BeANCCDkQ5EvgJgGZyiLYHALqLhZJl1QDUmSAzQK9vLwD6DIDmcyDKwQCUu/fa1OCNZqu4Q7Q9ANBdLJQsqxOg81QBQIs5EOUAQPdziLYHALqLhZJltQDUmR9fzgB9WR7CXwDQjA5EORIBijuRMjhE2wMA3cVCybIKAXofA+gFAM3pQJSDAyj7/EkDPxvNVnGHeHuY+FlDKJs7AKDO/PgyBtALAJrVgSpHAkG/Xq4ob1n2WIJp0GQ94u0BgO5hoWRZHQB158c9ALqNA1UOFqD83+BR4tMQy1TeQgB11tu8HuHUVbaHmOIaptbWDmcHqDs/vrx/AUA3caDKwQM0y5/RBUA972nIWHvYviGpYWpt7QCAujugAOg2DlQ5AFCdNgao5RuSGqbW1g7nBuiiRbvnMAGgmzhQ5RAASvVv6mSXiweAOkZKfNYxtbZ2ODVAPX4CoFs5UOUoD9Dn54oAOq1YP0BTjUQdweHMAF02aP8cOwB0EweqHACoTgBoVQ4nBijBTwB0GweiHBI/AVCbgyMAtKADAJoA0GcAdJ0DUQ4AVCkAtCqH8wLU608XoANG+3uQniPaK7mHcJDLoeEnAKoTAFrQAQAlATo9wM4hphGehZJ7CAe5HMcHqNIhEABalQMAetOXLEDVoQeZMK5wEgexHCp+zka632kA6OAdDhnWo9WptbUDAOrugAKg2zgQ5Ui/F/7CEtH5CAAdvMMhiXo0OrW2dgBAhx3QFw+gt+eBAqBVAHRcZtn78ysAlBMAWtDhvAD17+JcArRbAAAt5SCVgyRo/zW0OwoAqhMAWtABAHV3QAHQbRyEctAEPRZAp1UB0KYdTgxQp2XvAdBNHahy8AB9AUBtDo4A0IIOZwbodC/8tAMKgG7jQJUDANUJAK3K4dQAHQl6D4Bu60CVQwDoCwBqcnAEgBZ0ODdAb20774ACoNs4UOUAQHUCQKtyOBtAv3bUv1rsgM4A7T6fAfp1opZ+JdSmA1UOCaDXcny9rMT8iqmQ81EHUGlxeUB+OWW2uvUSp9XqeoS+THsU1REcSlgoWVbFHuhlsQOKPdBtHKhynG0PdFwXe6BNO5xtDzQIfbEDCoBu40CVAwDVCQCtyuH0AL24/LwB9AKAFnYgyyHwEwA1OTgCQAs6AKA0QLtJBoCWciDLAYCqBIBW5QCAhgB9AUALO9Dl4Pl5OIAOKwOgTTsAoADo9g5kOQJkLvkJgJocHAGgBR0A0H/vNioAuokDWY5wn3PBTwDU5OAIAC3oAIACoNs7UOWgjtoXf5IcALU4OAJACzoAoIvOBUA3caDKQQLUFQBqcXAEgBZ0AEBfAoDiLHxpB6oc5wPo7b8AaNMOACgAur0DVY7VAKWxmALQqf58LPMGzQOaASrD3JOlHuQ+LgCa0+H0AH0JAYpD+NIOVDm2AGjAO1LPIUDDqXABQAPVMLW2dgBAAdDtHchyCPzcAqDPi5I/07o4/GsQoM8AaE4HABQA3d6BLEcWgAZ0iAL0eXqPJqaP0wE9wwfLDQJAL6GRrCM4AKAA6PYOdDl4floBumCbj0Vq9/IyQPV5+Kz/52vfMCdAw5AUWglQdzrPQ0bbw6QaptbWDgBoAFD6qE0XepAJ4woncYiUg+DnYgdSB9CJj5eRglRBQ27OwzsLEgCdV2sQoIvpPA8ZbQ+TaphaWzucHqD+Wfh552P+WR96kAnjCidxiJUj3P+UADqXKLJf6fLOrWiIkefL8zTwNAUCgM4H8gFAo+aRDdoBoM+kI9ceFtUwtbZ2AEBDgK4IPciEcYWTOMTL4R++0wCdOOhByfnH+c88AA/Q5wVAb4be94eXAKDTl5k2fu4D0Gc6cq49LKpham3tAIAGdyKtCT3IhHGFkzhw5ViKBKhPTB+g07F7FKDk78lnd8HBO4xlsRu6BGgsiGhY2wP0AoDmdQBAL9698KtCDzJhXOEkDkw5nN3AxUvyiDkFoJcoQBcLXmIAnbduHj8VoOQpHUErABqkdBqSaw+9aphaWzsAoBeXoMJ0rq9+bTow5SgPUPnSoYMCdPriIBySbQ+1aphaWzsAoL0A0E0dmHJkAehlA4A+ewB9rh2gcSuxPZSqYWpt7QCALgSAbuLAlGMNQBdEex4Z5wyQD6CXGaDP0/7oRZ+t7QHKOKnbQ1ANU2trBwB0IQB0EwemHCkAvQQAvcwAdfQ8f8rKAtBLGkCXThYlApQzUreHoBqm1tYOAOhCAOgmDkw5FAB9VgD0QgFUyysjQJ/TAcpyjVYyQLkhle0hqIaptbUDALoQALqJA1OOdgC6+L513KhaAcraqNtDUA1Ta2sHAHQhAHQTB6Yc6wE6LU4CVBPA8+wdjyUAqBOEXhsBlLdRt4egGqbW1g4A6EIA6CYOTDlWAfSyBGhQz0IAfa4doIKLuj0E1TC1tnYAQBcCQDdxYMoRAHTk4kLzR8/zlfE7AdQ5mq8UoJKJuj0E1TC1tnYAQBcCQDdxYMqxBKgPTgdV7kH6HgC9TJvibpQ5W9sAVBpS2R6Cyk2tsb41TN7yFkqWAaCndWDKEQJ0PqdTKUCdn6oEqGihbg9Ba6bWYmc+qPioGiZveQslywDQ0zow5VgD0MvmAJ1/qhegctDq9hCUNLWepxqz6pbHHuhCAOhpHZhytAPQebSqAaqIWd0egsTCP08Pub44tQ05eVl8xWxx8ASA5pYQOgC6iQNTjhYB6vyUANCi6sY3NOzyXWMowxX7Q1hO7eZNoZ5e4J6Ek8pTw+Qtb6FkGQB6WgemHAqAXqYligF0+ucAALU07PLdhEDo/crl9iwXuK0rs7NXDZO3vIWSZQDoaR2YcpwPoMYVbIfwUgzDkMr2CIanUXnx/l1+4G6cNfoaJm95CyXLANDTOjDlWA1Q51MCoKoAAFDPaPGtiQtGbl9zuR3uBl2IFzrVMHnLWyhZBoCe1oEpRzJALwFAL4UB6j4pbxmERSUBeotkDUDnAji8DAA6eC0/CrZjWCgxlF41TN7yFkqWAaCndWDKYQLoZfju7Pl2O9IlE0Cnp3XWka3iDkx7+Ox8nq85YAG6VyibOwCgCwGgmzgw5ZgOvJ2vNKfjvxGY0+vpx+V/LsTL3sK6u1dFtoo7MO0RHKcDoOUtlCwDQE/rwJTDAeizdNanhsl+BAemPQDQHSyULANAT+vAlMMH6DqjwNe6Rg3ZKu7AtIcAUBeXAGguCyXLANDTOjDlAEC3d2DaQwPQiwdQ9VfNTSZrAwslywDQ0zow5QBAt3dg2kMB0GmF5xGeAOg6CyXLANDTOjDlAEC3d2DaAwDdwULJMgD0tA5MOQDQ7R2Y9gBAd7BQsgwAPa0DUw4AdHsHpj0A0B0slCwDQE/rwJQDAN3egWmPZ18AaHkLJcsA0NM6MOUAQLd3YNrDBtDhRgcAdJ2FkmUA6GkdmHJMV8L47ZlkFPha16ghW8UdmPYgADrd3TD8Rb9JWm4uHUyqIFkbWChZBoCe1iFejrFNAdANHZj2oACabhT4Gleo0AEAXQgA3cQhXg4AdAcHpj0A0B0slCwDQE/rEC8HALqDA9MeS3gCoJtYKFkGgJ7WIV4OAHQHB6Y9ANAdLJQsqwSghkOUCuvXpkO8HEUPGRvNVnEHpj0A0B0slCwDQE/rEC8HALqDA9MeAOgOFkqWVQLQrKEHmYADPWasHADoDg5MewCgO1goWQaAntYhXg4AdAcHpj0cdAKgW1koWQaAntYhXg4AdAcHpj0A0B0slCwDQE/rEC8HALqDA9MeAOgOFkqWZQDox/dX/Uzz5qjCoQeZgAM9ZqwcAOgODkx7AKA7WCjptx6gH973+skfxTcnFQ49yAQc6DFj5QBAd3Bg2gMA3cFCib/VAP3q/ftfvb19+/n7n/5ZeJOZIXlDDzIBB3rMWDkA0B0c2PYAQDe3UPJvLUD/8usOlT0sf8O/6ahw6EEm4ECPGS1H/4Cf6T95L8ttNFvFHdj2AEA3t1ACcC1AP46H6R+cbzzJNx0VDj3IBBzoMXcpR6PZKu7AtgcAurmFEoBrAfphPEr/yvnCk3zTUeHQg0zAgR5zl3I0mq3iDnx7PM9P/sSNeptYKAG4EqDffzHuY358/+Pfc2+6Khx6kAk40GPuUo5Gs1XcAe2R7tA0QH91++nbz12Ahm++d7TOE4IgqA6tBOh4umjBSvJNABSCoKMpI0CnM+7km64K73wH++JwoMfcpRyNZqu4A9oj3aHdQ3j9HqirwqEHmYADPeYu5Wg0W8Ud0B7pDu0CVP8dqKvCoQeZgAM95i7laDRbxR3QHukOTQN0OuE+XbFEvumqcOhBJuBAj7lLORrNVnEHtEe6Q7sAdS/5nG/bJN90VDj0IBNwoMfcpRyNZqu4A9oj3aFhgOJOpGYddipHo9kq7oD2SHdoGKC4F75Zh53K0Wi2ijugPdIdGgYonsbUrMNO5Wg0W8Ud0B7pDi0DdPHoz++/GJCJ54HW77BTORrNVnEHtEe6Q9MAdR8+PwEUT6Sv32GncjSareIOaI90h7YBalfh0INMwIEec5dyNJqt4g5oj3QHADRr6EEm4ECPuUs5Gs1WcQe0R7oDAJo19CATcKDH3KUcjWaruAPaI90BAM0aepAJONBj7lKORrNV3AHtke4AgGYNPcgEHOgxdylHo9kq7oD2SHcAQLOGHmQCDvSYu5Sj0WwVd0B7pDsAoFlDDzIBB3rMXcrRaLaKO6A90h0A0KyhB5mAAz3mLuVoNFvFHdAe6Q4AaNbQg0zAgR5zl3I0mq3iDmiPdAcANGvoQSbgQI+5SzkazVZxB7RHugMAmjX0IBNwoMfcpRyNZqu4A9oj3QEAzRp6kAk40GPuUo5Gs1XcAe2R7gCAZg09yAQc6DF3KUej2SrugPZIdwBAs4YeZAIO9Ji7lKPRbBV3QHukOwCgWUMPMgEHesxdytFotoo7oD3SHQDQrKEHmYADPeYu5Wg0W8Ud0B7pDgBo1tCDTMCBHnOXcjSareIOaI90h7MB1NX793CowWE7oyNk60D1OILDdvUIBIDCYWOjI2TrQPU4ggMACoe9HbYzOkK2DlSPIzgAoHDY22E7oyNk60D1OIIDAAqHvR22MzpCtg5UjyM4AKBw2NthO6MjZOtA9TiCAwAKh70dtjM6QrYOVI8jOACgcNjbYTujI2TrQPU4ggMACoe9HbYzOkK2DlSPIzgAoHDY22E7oyNk60D1OIIDAAqHvR22MzpCtg5UjyM4nBmgEARBrQoAhSAIShQACkEQlCgAFIIgKFEAKARBUKIAUAiCoEQBoBAEQYkCQCEIghIFgEIQBCUKAIUgCErUHgD9+P6qn2nezOrQv/+rkg5fFY/hw/W9n/wxkwNnlLUcqMdqI7SHyqJEPXjtANAuyCBO8s2sDlf95de5ZgjlcB29149/X9oh1zSPGuUtB+qx1gjtYbLIWg9B2wP0qz7Abz9//9M/C29mdXi75TdPbimH77/o50bBGK4O3Xy5fvSb9QacUd5yoB5rjdAeWov89ZC0OUDHX3PX2H/Dv5nV4fY60wwhHT4Ov1vLxTA6fMh3HLRBOVCP1UZoD5NFznqI2hygH8e9bjdM8s2sDv0+/7/8N3lmCOnwYfhleP09WCiG8eev8vwSjxtlLQfqsdoI7aG0yF8PUZsDdEzkNcz5+wvyzawO3e+qX12Ll2WGRGL4mfdDbodROSdI+XKgHquN0B4qi1GHBuj8C+jj/HUy+WZWh+sM+dd/fss0Q/jNzfFVPOuQ53c4Y5S1HKjHaiO0h8kiZz1k7QDQIX/ffu7OkPDNrA7+R6Uc3rJBJ+owfFWeR+XLgXqsNkJ7WCyy1kPW1gCdfwE5oZNvZnW4KdMMYTf3+uH6A4i4Q3f1W8YDlPLlQD1WG6E99BaZ6yFrT4BOJ9DIN7M63FRghvibe/0sw++/uMPHjJfSxYyylgP1WG2E9tBbZK6HLOyBZnW4fpSjenxCPuSbIUffA0U9VA43NVOO7eohC9+B5nTorkXOcREvn5CM35If/DtQ1EPn4H9UyCFXObarh6w9z8JPO/Pkm1kdpo9yn2ZcOFyPJ/L87hMSku86jfLlQD1WG6E91BY3bXkd057Xgc5Rkm9mdehV4EI31yHfBBESknGClC8H6rHaCO2htBh0aIDudqvFW74ZQjtcJ0i26ycoh3nrv8r5TJu97kR6Qz2URmgPlUWReog60b3w+WZILIZ8E4R0GO+6yPfUnF3vhUc9tEZoD5VFiXqIOtPTmLLNENLhq6zn/iiH68TofrNeo8h4hLLj05hQD6UR2kNlUaQeknZ+HugUbLEHHrrpzDZDCIfxWYS5HhpLxdA/MCf3I2PLlwP1WGuE9lBYFKqHoJ2fSD/Xr9Qjt8vMkNBhLF62MMgY+mmT+WmH5cuBeqw2QnuIFp1K1IMX/iYSBEFQogBQCIKgRAGgEARBiQJAIQiCEgWAQhAEJQoAhSAIShQACkEQlCgAFIIgKFEAKARBUKIAUAiCoEQBoFBRPd0t9Qm92Hf/U/ffv/787oe/M1vc1uUW+OzuR3+6/vt6d/fOPDoEMQJAoaLSAfTxRrYkgD6KVARAoVICQKGiUgF0JFsKQBVUBEChUgJAoaK6AvRBXGgN2QBQaEcBoFBRAaDQkQWAQkUFgEJHFgAKFVUEoK/OF6Kvw9ejD+N3oDfgdd+e/uAXwxjuKI/90reP5nXnV/OS14E6Exag/jqv3le1/msIcgSAQkVFAvSbT8dzSh3QSID+h5+PC/QUnBk2n5XqoOgCdBp1PBE1LPqj/y8O0HHwcZ3lloWvIWghABQqKgqgE7Vu5CMB+q+GN3/wP//cWXR5Vv/dAqAz6wYaTov+oyhAnS3p1/G2LHgNQUsBoFBReZcx9SB7GnB15eWSbDNA7+Yf+p86Ona7oN07/aLdD/66t8P617t50WknNQLQx2HX8mlYx9+yYEshaCEAFCoqCqCP4+7ceN0nAdAbrl7vnJ8GGg6H8lekLtZ9nRB3Xb0j6dP4RgdfGqDXT25fpY4/+VsWbCkELQSAQkUV2QNd7s4RAH3oPxhYePtpSbDxjXHdx3HJ4a3rWOMbTzGAPs1nh576z/wtC7YUghYCQKGior4DffW/VAwBOsCS+ultWPJuAdDxTHun6+7kJ+4K19c0QB/njejXCbYs2FIIWggAhYqKPAv/6JwG6mQC6Ou0O+sBdLmn6xA1dhmTs5M6QtbfMv81BC0EgEJFRV8HOh/Yj99fagHqnGtfANR9vwfouNv5xgJ02qsdl/G2LHgNQa4AUKioYnciTXuMw5WgSoCOq/3wd953oA4vJ4OEPVB/y4jXEDQLAIWKiruVs0fTcG5dCdCnO/+j+RCePsn0pvsO9HVxt9G0ZZHXEHQTAAoVFQFQ58h5oJwaoM4+4+vyEL47q7Qwct7QnIV/HM7cL7Ys3FIIWggAhYqK2gN9dA+PEwHa7RMuLmOa902Ht6ZLkIJr7idR14EutizYUghaCACFiip2GVO/59eh7ZO3+SJ4+RD+ccBkf25nvPGoX7c/yu6tHm+fjIjtTy8p7kQa71pytyzYUghaCACFisp/In3PuMf5pXNq/UEB0Fd3qB6g47qLj8Zz+zf9V/NJJEfuOalxQ4It819D0EIAKFRUJED/Oj0g5HYEfXv9TnMZ00S0f/xzd6zllUzz5aWd3KcxeQANnsZEb9n8GoIWAkChoiIBOoHrYViq59Qnqgvpb5h8N583H9adzeZD7eGj7+IAjTxD1HnDfw1BjgBQCIKgRAGgEARBiQJAIQiCEgWAQhAEJQoAhSAIShQACkEQlCgAFIIgKFEAKARBUKIAUAiCoEQBoBAEQYkCQCEIghIFgEIQBCUKAIUgCEoUAApBEJQoABSCIChRACgEQVCiAFAIgqBEAaAQBEGJAkAhCIISBYBCEAQlCgCFIAhKFAAKQRCUKAAUgiAoUQAoBEFQogBQCIKgRAGgEARBiQJAIQiCEgWAQhAEJQoAhSAIShQACkEQlCgAFIIgKFEAKARBUKIAUAiCoEQBoBAEQYkCQCEIghIFgEIQBCUKAIUgCEoUAApBEJQoABSCIChRACgEQVCiAFAIgqBEAaAQBEGJAkAhCIISBYBCEAQlCgCFIAhKFAAKQRCUKAAUgiAoUQAoBEFQogBQKLu+NmjvbYWgNQJAoewCQKGzCACFsgsAhc4iABTKLgAUOosAUCi7AFDoLAJAoewCQKGzCACFsgsAhc4iABTKLgAUOosAUCi7AFDoLAJAoewCQKGzCACFsgsAhc4iABTKLgAUOosAUCi7AFDoLAJAoewCQKGzCACFsmsVQL/59Ae/eHv77rPuv92ru7vrT8M/BTQamdb5tyW2BGpRACiUXfkA+np31Q9/N/xTYlsTAPp491BiS6AWBYBC2ZUBoIMeb9h8LETPJH33GQAKjQJAoezKCdBPnH/qEAAKzQJAoewCQKGzCACFsisRoE933Zki5zvQxztXD8Mid+/6pb/77If/58/Dt1+Hr0wnCneD/OhPjsWw4KDbd6DBWp7DX7t/b5/eNuoTejTobAJAoexKAuh1x67XfxkH6LhI/4XoFW//9Pbz4u0rCv/pDNz+9P10Amqx4GQ7ANRda/xodHgat+ETB6DUaNDZBIBC2XXl4rNGLkC7fbyHG5Wcs/CLQ/jrIreP+j3Kbsnr3t//6739etspvL7qwHb75/rfcP1BI0DdtaaPBocrhd/dXg/rP8RGg84mABTKrhSAvg6HzxOlQoA6izy8jVT0334dDq9v776Ou6W3F+6CgyaAfuKONXw0ODwNjLyC9GFanRwNOpsAUCi7Ug7hp/NETzGAXnf5pkVuR9D914/e2yPXbl+lDuv3kPMWHDQC1F1r+sj7gnMi90NgC51UACiUXQkAvfJogNXiQnoXoPOu3mu3Rzi+9N5+nb/vfHBGDRec3nX2VP2d08W+Zf+d58MSo/5o0NkEgELZlQbQh9tPN6LRAJ10+2Lz4bb84u0FCn0eugu+uXYCQG8n4e88gBKjQWcTAApl19EAejuV311hBYBCSwGgUHaVPoTvFR7C99IcwrvSAHS8k9QDKDEadDYBoFB2JQD0Cqnhm8RX5iSSe05nJJj39hKF46mp7l9vwWkYEaDTm6/OITw9GnQ2AaBQdqUA9LZ351xeGV7G9DQeKz+5J5G8t5cofB0vuu9ot1xwkAGg86WqD4EtdFIBoFB2pQC0u8Pngb+QfrhEdF7yoV9x+fYShVfmXV/e/ustOEgB0Hn10di5rH45GnQ2AaBQdiUBdDzT/d/HvgN1TtwMAHu4rbl420PhcCund77p3c3vdkNTCNDpo8VJpLu7f9wftvcb+ok3GnRSAaBQdiUB9HY/5eJhIuHTmJ7mk97uzqLzdrAv+eieJncWNAD0xsrrW4/TTaT9UbszGnRSAaBQdiUCFIKaEwAKZRcACp1FACiUXQAodBYBoFB2AaDQWQSAQtkFgEJnEQAKZRcACp1FACiUXQAodBYBoFB2AaDQWQSAQtkFgEJnEQAKZRcACp1FACiUXQAodBYBoBAEQYkCQCEIghIFgEIQBCUKAIUgCEoUAApBEJQoABSCIChRACgEQVCiAFAIgqBEAaAQBEGJAkAhCIISBYBCEAQlCgCFIAhKFAAKQRCUKAAUgiAoUQAoBEFQogBQCIKgRAGgEARBiQJAIQiCEgWAQhAEJQoAhSAIShQACkEQlCgAFIIgKFEAKARBUKIAUAiCoEQBoBAEQYkCQCEIghIFgEIQBCUKAIUgCEoUAApBEJQoABSCIChRACgEQVCiAFAIgqBEAaAQBEGJAkAhCIISBYBCEAQlCgCFIAhKFAAKQRCUKAAUgiAoUQAoBEFQogBQCIKgRAGgEARBiQJAIQiCEgWAQhAEJQoAhSAIShQACkEQlCgAFIIgKFEAKARBUKIAUAiCoEQBoBAEQYkCQCEIghIFgEIQBCUKAIUgCEoUAApBEJQoABSCIChRACgEQVCiAFAIgqBEAaAQBEGJAkAhCIISBYBCEAQl6v8HhwoSeMWGZGYAAAAASUVORK5CYII=" title alt width="672" /></p>
+</div>
+</div>
+<div id="number-of-investors-sponsoring-a-loan" class="section level2">
+<h2>Number of investors sponsoring a loan</h2>
+<p><strong>What draws investors to a loan</strong></p>
+<p><img 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" title alt width="2592" /></p>
+<p>From this chart, I can see very good correlation among borrower rate, borrower APR, lender yield, effective yield and estimated return. This is obvious because these rates are calculated from each other. For example, lender’s yield is equal borrower rate less servicing fee. However, what astounds me the most is that these variables have very weak correlation with the investor count. For instance, correlation between lender’s yield and investors is only -0.249. This is beyond my expectation.</p>
+<p>When continuous variables show little effect on investor number, I’ll try to graph the investor number against nominal variables such as prosper rating, income range, although relationship between nominal and continuous variables can be difficult to quantify.</p>
+<p><strong>Prosper Rating on Investor counts</strong>:</p>
+<p><img src="data:image/png;base64,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" 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+<pre><code>## dt$ProsperRating..Alpha.: HR
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    9.00   31.00   35.28   54.00  237.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: E
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    2.00   25.00   35.01   55.00  279.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: D
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    4.00   35.00   56.23   87.00  511.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: C
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    1.00    9.00   51.09   78.00 1024.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: B
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##     1.0     1.0    19.0    69.8   112.0   856.0 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: A
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00    1.00   51.00   97.53  162.00 1189.00 
+## -------------------------------------------------------- 
+## dt$ProsperRating..Alpha.: AA
+##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##    1.00   62.75  150.00  178.40  274.00 1035.00</code></pre>
+<p>The better Prosper Rating, the more investors. For example: for rating AA, 50% of Investor count range from 63 to 274 with mean 150. For rating HR, 50% of Investor count range from 9 to 54 with mean 35 investors.</p>
+<p><strong>Income Range on Investor counts</strong></p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>Investors number get a bit higher with the increase in income range. The same thing can be observed between investor number and debt to income ratio</p>
+<p><strong>Debt to Income Ratio on Investor count</strong></p>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAMAAADDuCPrAAAA0lBMVEUAAAAAADoAAGYAOpAAZmYAZrY6AAA6kLY6kNtmAABmtv9/f39/f5V/f6t/lat/lcF/q9aQOgCQZgCQkNuQ29uQ2/+Vf3+VlcGVweurf3+rlX+r1v+2ZgC225C2///BlX/B6//Wq3/W/9bW///bkDrb/9vb///l5eXrwZXr///yqbTy8vL5i5v5r7r8fI/8jp7+dIn+fZD/bYP/boP/boT/b4T/cIb/cYb/dYn/dor/f5L/kaL/tmb/tsH/1qv/25D/68H//7b//9b//9v//+v///8GDjI7AAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nOy9aZfkxnm2yZn3SMd2W2P5w2jEEc9ItHjepNFoNFhEo9ldTFqW1f//Lw1ieYDAmg/WuCN531q6KivXqyKuikBsX31hGIZhNuWr2G+AYRgm1VCgDMMwG0OBMgzDbAwFyjAMszEUKMMwzMZQoAzDMBtDgTIMw2wMBcowDLMxFCjDMMzGUKAMwzAbQ4EyDMNsDAXKMAyzMRQowzDMxlCgDMMwG0OBMgzDbAwFyjAMszEUKMMwzMZQoAzDMBtDgTIMw2wMBcowDLMxFCjDMMzGUKAMwzAbQ4EyDMNsDAXKMAyzMRQowzDMxlCgDMMwG0OBMgzDbAwFyjAMszEUKMMwzMZQoAzDMBtDgTIMw2wMBcowDLMxFCjDMMzGUKAMwzAbQ4EyDMNsDAXKMAyzMRQowzDMxuAI9LYh2x51dN7GfgME0YYgJBAkEgah1BYFuj8ApYQgfAhCAkEiYRBKbVGg+wNQSgjChyAkECQSBqHUFgW6PwClhCB8CEICQSJhEEptUaD7A1BKCMKHICQQJBIGodQWBbo/AKWEIHwIQgJBImEQSm1RoPsDUEoIwocgJBAkEgah1BYFuj8ApYQgfAhCAkEiYRBKbVGg+wNQSgjChyAkECQSBqHUFgW6PwClhCB8CEICQSJhEEptUaD7A1BKCMKHICQQJBIGodQWBbo/AKWEIHwIQgJBImEQSm1RoPsDUEoIwocgJBAkEgah1BYFuj8ApYQgfAhCAkEiYRBKbVGg+wNQSgjChyAkECQSBqHUFgW6PwClhCB8CEICQSJhEEptUaD7A1BKCMKHICQQJBIGodQWBbo/AKWEIHwIQgJBImEQSm1RoPsDUEoIwocgJBAkEgah1BYFuj8ApYQgfAhCAkEiYRBKbVGg+wNQSgjChyAkECQSBqHUFgW6PwClhCB8CEICQSJhEEptUaD7A1BKCMKHICQQJBIGodQWBbo/AKWEIHwIQgJBImEQSm1RoPsDUEoIwocgJBAkEgah1BYFuj8ApYQgfAhCAkEiYRBKbVGg+wNQSgjChyAkECQSBqHUFgW6PwClhCB8CEICQSJhEEptUaD7A1BKCMKHICQQJBIGodQWBbo/AKWEIHwIQgJBImEQSm1RoPsDUEoIwocgJBAkEgah1BYFuj8ApYQgfAhCAkEiYRBKbT2/QDOTLU+uDkApgagtBCEBAIFBImEQSm09vUCz7HSDApQSiNpCEBIAEBgkEgah1NazCzTLzjcoQCmBqC0EIQEAgUEiYRBKbT25QLPsAoMClBKI2kIQEgAQGCQSBqHUFgW6PwClBKK2EIQEAAQGiYRBKLVFge4PQCmBqC0EIQEAgUEiYRBKbVGg+wNQSiBqC0FIAEBgkEgYhFJbFOj+AJQSiNpCEBIAEBgkEgah1NaTC5Sj8FeGIHwAQGCQSBiEUlvPLlDOA70wBOEDAAKDRMIglNp6eoFyJdJ1IQgfABAYJBIGodTW8wv0/ACUEoLwIQgJBImEQSi1RYHuD0ApIQgfgpBAkEgYhFJbFOj+AJQSgvAhCAkEiYRBKLVFge4PQCkhCB+CkECQSBiEUlsU6P4AlBKC8CEICQSJhEEotUWB7g9AKSEIH4KQQJBIGIRSWxTo/gCUEoLwIQgJBImEQSi1RYHuD0ApIQgfgpBAkEgYhFJbFOj+AJQSgvAhCAkEiYRBKLVFge4PQCkhCB+CkECQSBiEUlsU6P4AlBKC8CEICQSJhEEotUWB7g9AKSEIH4KQQJBIGIRSWxTo/gCUEoLwIQgJBImEQSi1RYHuD0ApIQgfgpBAkEgYhFJbFOj+AJQSgvAhCAkEiYRBKLVFge4PQCkhCB+CkECQSBiEUlsU6P4AlBKC8CEICQSJhEEotUWB7g9AKSEIH4KQQJBIGIRSWxTo/gCUEoLwIQgJBImEQSi1RYHuD0ApIQgfgpBAkEgYhFJbFOj+AJQSgvAhCAkEiYRBKLVFge4PQCkhCB+CkECQSBiEUlsU6P4AlBKC8CEICQSJhEEotUWB7g9AKSEIH4KQQJBIGIRSWxTo/gCUEoLwIQgJBImEQSi1RYHuD0ApIQgfgpBAkEgYhFJbFOj+AJQSgvAhCAkEiYRBKLVFge4PQCkhCB+CkECQSBiEUlsU6P4AlBKC8CEICQSJhEEotUWB7g9AKSEIH4KQQJBIGIRSWxTo/gCUEoLwIQgJBImEQSi1RYHuD0ApIQgfgpBAkEgYhFJbFOj+AJQSgvAhCAkEiYRBKLVFge4PQCkhCB+CkECQSBiEUls4An27Idse9YQhCB+CkJCEz0YQSm3hCPTCPy4HB+DPLEH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqktCnR/AEoJQfgQhASCRMIglNqiQPcHoJQQhA9BSCBIJAxCqS0KdH8ASglB+BCEBIJEwiCU2qJA9weglBCED0FIIEgkDEKpLQp0fwBKCUH4EIQEgkTCIJTaokD3B6CUEIQPQUggSCQMQqmtJxVoZrKJ24YAlBKI2kIQEgAQGCQSBqHU1nMKNMuuNChAKYGoLQQhAQCBQSJhEEptPaVAs+xSgwKUEojaQhASABAYJBIGodTWMwo0y641KEApgagtBCEBAIFBImEQSm1RoPsDUEogagtBSABAYJBIGIRSWxTo/gCUEojaQhASABAYJBIGodQWBbo/AKUEorYQhAQABAaJhEEotUWB7g9AKYGoLQQhAQCBQSJhEEptPaNAh6PwZ6sUoJRA1BaCkACAwCCRMAiltp5SoLexP880KEApgagtBCEBAIFBImEQSm09p0BvY3+eaFCAUgJRWwhCAgACg0TCIJTaelKBdrnggihAKYGoLQQhAQCBQSJhEEptUaD7A1BKIGoLQUgAQGCQSBiEUlsU6P4AlBKI2kIQEgAQGCQSBqHUFgW6PwClBKK2EIQEAAQGiYRBKLVFge4PQCmBqC0EIQEAgUEiYRBKbT2vQMWZHIW/LAThAwACg0TCIJTaelqBdtbkPNCrQhA+ACAwSCQMQqmtZxVo2O7kSqSLQhA+ACAwSCQMQqmtJxXopcvhAUoJRG0hCAkACAwSCYNQausYgf7y5o/dl01+r/lukEPZUKAxQhA+ACAwSCQMQqm+QwT6969bgX77xuZ3f3343TCHsqFAY4QgfABAYJBIGITSfUcItPGnCPR7+9Xf/vDm3/7zwXcU6JGBqC0EIQEAgUEiYRDXCbRRoghUmqLNTX9a/o4CPTQQtYUgJAAgMEgkDOIygTYd8//r//UC/aXrrf9++btxjmVzoT8RSglEbSEICQAIDBIJg1Dqb7dAmwblH//xZy/Qb6V7/r2x5dJ3Zwv0yqPhAUoJRG0hCAkACAwSCYO4TKD/z39+EYE2//rG5S9v/vUvS99NPNHRbC7zJ0IpgagtBCEBAIFBImEQSv8dMgofCNQPJv3tD1aZs9/5B74JcsQbYRiGuTCHCrSbzmQkufSdfyAFyjBMwjlNoG/+tPTdxJNc2Do/OAD9FILwIQgJBImEQSjdF7cFGuZCNgcHoJQQhA9BSCBIJAxC6b6410DDXMjm4ACUEoLwIQgJBImEQSjdd7RA25H23/116buJJ7mQzcEBKCUE4UMQEggSCYNQuu9QgYZzPZsvlr4b50I2BweglBCED0FIIEgkDELpvmMFirMS6coAlBKC8CEICQSJhEEo3XesQGHWwl8agFJCED4EIYEgkTAIpfuOFSjMbkyXBqCUEIQPQUggSCQMIo5AUfYDvTQApYQgfAhCAkEiYRBK9x0tUJAd6S8NQCkhCB+CkECQSBiE0n1PeibSpQEoJQThQxASCBIJg1BqiwLdH4BSQhA+BCGBIJEwCKW2KND9ASglBOFDEBIIEgmDUGqLAt0fgFJCED4EIYEgkTAIpbYo0P0BKCUE4UMQEggSCYNQaosC3R+AUkIQPgQhgSCRMAiltijQ/QEoJQThQxASCBIJg1BqiwLdH4BSQhA+BCGBIJEwCKW2KND9ASglBOFDEBIIEgmDUGqLAt0fgFJCED4EIYEgkTAIpbYo0P0BKCUE4UMQEggSCYNQaosC3R+AUkIQPgQhgSCRMAiltijQ/QEoJQThQxASCBIJg1BqiwLdH4BSQhA+BCGBIJEwCKW2KND9ASglBOFDEBIIEgmDUGqLAt0fgFJCED4EIYEgkTAIpbYo0P0BKCUE4UMQEggSCYNQaosC3R+AUkIQPgQhgSCRMAiltijQ/QEoJQThQxASCBIJg1BqiwLdH4BSQhA+BCGBIJEwCKW2KND9ASglBOFDEBIIEgmDUGqLAt0fgFJCED4EIYEgkTAIpbYo0P0BKCUE4UMQEggSCYNQaosC3R+AUkIQPgQhgSCRMAiltijQ/QEoJQThQxASCBIJg1BqiwLdH4BSQhA+BCGBIJEwCKW2KND9ASglBOFDEBIIEgmDUGqLAt0fgFJCED4EIYEgkTAIpbYo0P0BKCUE4UMQEggSCYNQaosC3R+AUkIQPgQhgSCRMAiltijQ/QEoJQThQxASCBIJg1BqiwLdH4BSQhA+BCGBIJEwCKW2KND9ASglBOFDEBIIEgmDUGqLAt0fgFJCED4EIYEgkTAIpbYo0P0BKCUE4UMQEggSCYNQaosC3R+AUkIQPgQhgSCRMAiltp5RoJnJJmjbAlBKIGoLQUgAQGCQSBiEUltPKNAsu9igAKUEorYQhAQABAaJhEEotfV8As2yCYOeqlSAUgJRWwhCAgACg0TCIJTaejqBenvmTbLhjZtAPg5AKYGoLQQhAQCBQSJhEEptPalAcyvQrHfbaQYFKCUQtYUgJAAgMEgkDEKprecUaO4FmnU3nWhQgFICUVsIQgIAAoNEwiCU2npKgeatQDO5iQK9IAThAwACg0TCIJTaokD3B6CUQNQWgpAAgMAgkTAIpbaeTqC3sAdPgV4agvABAIFBImEQSm09n0Bv7RASBXpxCMIHAAQGiYRBKLX1hAK9ZZ0/B6NIm0g+DEApgagtBCEBAIFBImEQSm09lUDHbc7wB5wHenYIwgcABAaJhEEotfVMAg00OTQmVyJdEYLwAQCBQSJhEEptPZFAe83OU405CEApgagtBCEBAIFBImEQSm09j0B7Q0VX+hOhlEDUFoKQAIDAIJEwCKW2nlOg517zHAaglEDUFoKQAIDAIJEwCKW2nlKgqlH34xQLUEogagtBSABAYJBIGIRSW88o0Fxj0AMbqQClBKK2EIQEAAQGiYRBKLX1xALt72g3yJFTQwFKCURtIQgJAAgMEgmDUGrreQQ67MP3d7QbRNnN1wWglEDUFoKQAIDAIJEwCKW2nkigba+882c+J0gK9IwQhA8ACAwSCYNQauuZBCrjQp0/8zlDUqBnhCB8AEBgkEgYhFJbTyVQSWPOouhtyDQMBXpGCMIHAAQGiYRBKLX1jAI17c/CGHTekBToGSEIHwAQGCQSBqHU1hMK1PbgG4EWS4bkKPwJIQgfABAYJBIGodTW8wm0NwY/r0jOAz0+BOEDAAKDRMIglNp6VoFmi5dA2/ttedFRAEoJRG0hCAkACAwSCYNQausJBeobnwtj8AcHoJRA1BaCkACAwCCRMAiltp5PoO0EpvlZoAcHoJRA1BaCkACAwCCRMAiltp5OoDIDNM8u29YOoJRA1BaCkACAwCCRMAiltp5NoN0c+jw7dKRoIQClBKK2EIQEAAQGiYRBKLWFI9C3GzJ+1Lsm713cNzZbnjupbMP3hCEICUn4bASh1BaOQHf/cRnuI3L6ccYSgD+zEM0NgpAAgMAgkTAIpbaeR6DenYE0KdCLQxA+ACAwSCQMQqmtpxFo2/gMBJo/nAx6SABKCURtIQgJAAgMEgmDUGrrWQQadN/bRueDHZkOC0ApgagtBCEBAIFBImEQSm09nUCzdgFnf0LTiQEoJRC1hSAkACAwSCQMQqmt5xNo68/ehKYzA1BKIGoLQUgAQGCQSBiEUltPKFD/Xd4ZdBNAfQBKCURtIQgJAAgMEgmDUGrrKQXaXQy9ogGKUEogagtBSABAYJBIGIRSW88i0NvQn7KZyOlDSBClBKK2EIQEAAQGiYRBKLX1NAK9DfzZ7WdHgV4VgvABAIFBImEQSm09j0DbjUO6CU2LOyofF4BSAlFbCEICAAKDRMIglNp6IoFKhlNCN+FbE4BSAlFbCEICAAKDRMIglNp6ZoFmF+2oDFBKIGoLQUgAQGCQSBiEUltPLdBLtlOGKCUQtYUgJAAgMEgkDEKpracSaH8U6Sp/IpQSiNpCEBIAEBgkEgah1NYzCXQ4Dr+J24YAlBKI2kIQEgAQGCQSBqHU1hMJdDATtLsAerZNAUoJRG0hCAkACAwSCYNQaut5BNrN/sy7b7PbBe1RgFICUVsIQgIAAoNEwiCU2noKgQbj7oPTkMJtlTdh1ASglEDUFoKQAIDAIJEwCKW2nkGg3ZylYAfQ3lSmcw0KUEogagtBSABAYJBIGIRSW08gUDFlkRdFIWfCU6ARQhA+ACAwSCQMQqmt9AUqPfeysKFA44UgfABAYJBIGIRSW08hUCPNomgN6rQ5aotSoGeHIHwAQGCQSBiEUlvPIFDnz9agrt0pl0Mp0OtCED4AIDBIJAxCqa0nEGguAnUGzYPheDOliaPwl4UgfABAYJBIGIRSW08l0HAMvh2Q5zzQy0IQPgAgMEgkDEKprfQFemsFmueyi3J7olzWruzcBFEXgFICUVsIQgIAAoNEwiCU2noCgco1UDdmZBud1+7IBFBKIGoLQUgAQGCQSBiEUlvPIFBnUOm92x8MBMproJeEIHwAQGCQSBiEUltPIND+IXLuB/2VSCcf7QFQSiBqC0FIAEBgkEgYhFJbzyDQm6xECk4w7vnz5MORAEoJRG0hCAkACAwSCYNQauspBOrGjPqO7PnzXIMClBKI2kIQEgAQGCQSBqHU1nMIdGoXenthtJvQRIGeH4LwAQCBQSJhEEptPYlAx6Pu/rooBXphCMIHAAQGiYRBKLX1rAINBpYo0KtCED4AIDBIJAxCqa0nFWjWCtROrpc9RjaRfBiAUgJRWwhCAgACg0TCIJTa+hUINPPLlHKOwp8cgvABAIFBImEQSm09t0CzVqA5BXp+CMIHAAQGiYRBKLX1JAIdjsJnnUGzYJnSJpIPA1BKIGoLQUgAQGCQSBiEUlvPItB2z6Xg//1M0OCQpE0kHwaglEDUFoKQAIDAIJEwCKW2nkagwbHGPYPObSxyoFABSglEbSEICQAIDBIJg1Bq63kEejP7MsmmTOEuoJMCPbJJClBKIGoLQUgAQGCQSBiEUlvPJNCs3Va568vfpgU61SbdHIBSAlFbCEICAAKDRMIglNp6IoFmfl/6wu8J2v1g3p+HGBSglEDUFoKQAIDAIJEwCKW2nkegWSvQQgQ66MSH96VATwhB+ACAwCCRMAiltp5ZoIPLoLfwvhToCSEIHwAQGCQSBqHU1hMLdMGRFOgpIQgfABAYJBIGodTWcwjUTmDK8u4i6INjkSjQU0IQPgAgMEgkDEKpracQqDVh3hnULtpc3EeZo/BnhCB8AEBgkEgYhFJbzyBQ78Ju4yV72XN5F7sD/YlQSiBqC0FIAEBgkEgYhFJbTyDQtjUp58LfbnJUZ++guX6O8ydCKYGoLQQhAQCBQSJhEEptPZNAs96xxnln0E0A9QEoJRC1hSAkACAwSCQMQqmtpxJof6a882cxmFV/QgBKCURtIQgJAAgMEgmDUGrriQVqDWquiJ7dBgUoJRC1hSAkACAwSCQMQqmtZxNo+I+bGHrgaNFMAEoJRG0hCAkACAwSCYNQausJBDqxdV3/SI+zDQpQSiBqC0FIAEBgkEgYhFJbzyDQ29CfrUFP30vZBqCUQNQWgpAAgMAgkTAIpbaeQqC3oT/FoJ0/KdALQhA+ACAwSCQMQqmt5xCoT9hx75Z3zs8FPSgApQSithCEBAAEBomEQSi19YQC9c60N1wyFxSglEDUFoKQAIDAIJEwCKW2nkygbuJSq8xuNv0mhsoAlBKI2kIQEgAQGCQSBqHU1nMJ1O8mIr32rFvQuYmhMgClBKK2EIQEAAQGiYRBKLX1lAIt8m4gKejQnxWAUgJRWwhCAgACg0TCIJTaeiaBZu2eyoFAzx+ERyglELWFICQAIDBIJAxCqa0nE2iWy470FOj1IQgfABAYJBIGodTW8wjUT5sPtwGlQK8NQfgAgMAgkTAIpbaeRqCNJF3nPZz5eYk/EUoJRG0hCAkACAwSCYNQautZBCq9d29QceYV/kQoJRC1hSAkACAwSCQMQqmtJxFolgUj8OHE+Qv8iVBKIGoLQUgAQGCQSBiEUltPI9BGn2VZ13XZKHQTsO0BKCUQtYUgJAAgMEgkDEKprUMF+o8/v2nzb/8ZfG++afKL+fr3Mw/excZ04MsmVVWbHUBv7c3ntz8hSglEbSEICQAIDBIJg1A671SB/v3rnkC/dd/87q+TD97FJsusP5sWaF10Hfjs/FVIJgClBKK2EIQEAAQGiYRBKJ13Thf++zf/+pfmn7/9wTc9/Y1v/mhuexPe2GUrG7+DiPiz6cNLs/OSdZw3iFICUVsIQgIAAoNEwiCUqjtFoI0k/2j+/SXsrzfN0T/6H/5p6kEb2WQDgZatQNudRM42KEApgagtBCEBAIFBImEQStedItBvfSPze6dMl1+k7/7t9GXQbR9SJnraS6DWn6VMAs27bCKoDkApgagtBCEBAIFBImEQStedIdBf3vg25re2I+8jVm20OnkVdNOHvHcCtYPwjT8LCjRWCMIHAAQGiYRBKGV3gkD/8Wevyr9//bv/+FrG3ZtbfcPzlzehV9ts+pCBQHPXCPUGvVGg14cgfABAYJBIGITSdicItG2A/u0Pb7px90agvj//tz+0An0TZNNr3du8mnz+9OnT5+bfu/nZa5fdn4lhGGacEwT6bTDt035lb5AxpDMEaiV5dwL9/CoCvbf+vO/9SAzDMBM5XqDdKLtc7Gwan3/qCXRyGH5TM/ve7pmcu8XwpVnNKdOYCr+33aYmvD4A/RSI/hpBSABAYJBIGIRSd8cLdGKMyIy7T7ZAw2z7kIE/s1t3goefB2rmNpWcSH9VCMIHAAQGiYRBKHV3uEC7waIu3zd9+MlroGE2ssnaY5Bc7IqkIrPTQF179PSl8QClBKK2EIQEAAQGiYRBKH13uECbluaog+4F2o7CHzeNqXmU86d1ZfM/Pxe06Il1E0B9AEoJRG0hCAkACAwSCYNQ+u5wgU7p0Qg0nAc6uZZzKxvrSdvsLNxaTj+b3m1uV3Al0nUhCB8AEBgkEgah9N3hAu302HXavzVfnLMSyY0U+Sn0ZfVSeYMWfndQd8bxJoLqAJQSiNpCEBIAEBgkEgah9N3hAg30+H07od5c9DxpLbwdKKpcs7OsX15agfpWKQV6XQjCBwAEBomEQSh9d7RAu2anVeXvv3TDSqfsxpTZ7ntlDdo0RKsX34X33fqSAr0wBOEDAAKDRMIglMI7WqC9MaRf/Bx53yY9Yz9QO/ezfHl5qarmq7qq2j2Z3BymspBJTecFoJRA1BaCkACAwCCRMAil8E4VqN9hub3h+B3p7/ZKZ9Nzb/ruZhSpEaj1p9lX2Rv0dH8ilBKI2kIQEgAQGCQSBqEUXuJnIt1ztw1TZc7yaMfhfcszN7fXnAd6WQjCBwAEBomEQSi1lb5A3VbKTdPTzAPN2yuf5uJn4frybIFeFILwAQCBQSJhEEptpS7QzK89avrs7kjjwrc+cytTjsJfGYLwAQCBQSJhEEptJS/QrJvvWRR2W9Bc1sdfNZMeoJRA1BaCkACAwCCRMAilthIXqNlMxGnSStP8n99guV0WT4FeFoLwAQCBQSJhEEptpS5Q2YHJ/eMt6g3qz/igQK8KQfgAgMAgkTAIpbaSF+itbXq6vrsdSrI32JElO5GJAr0mBOEDAAKDRMIglNpKX6A3d25vXP8AACAASURBVDR8LlvayeojMym0qv1U0E0ItQEoJRC1hSAkACAwSCQMQqmtpxDozV4JtcNGuduU3k4PrcWg8zNBM3+C564AlBKI2kIQEgAQGCQSBqHU1nMI1G6fnJtp9JUbNnJL4b1Bi1lF+iM9t7x0EIBSAlFbCEICAAKDRMIglNp6EoFmdv/kuraXPU0/3u0lYgy6MJNezkTeaVCAUgJRWwhCAgACg0TCIJTaehaBujH32q7dLDqB1nZR/Iwgs+wYgwKUEojaQhASABAYJBIGodTWkwjUtT+r2u5n17RB3XZ2dmG8OaRz+tEU6MEhCB8AEBgkEgah1FbqAnX6y/yg0Uv18mKvetqBJHe+RzF7JhIFenAIwgcABAaJhEEotZW4QO9u0nwmmzIZg5o2qD1nrrA7M83vB0qBHhyC8AEAgUEiYRBKbaUt0LsXqD1Crumxv9iYy6CFH4kv3Inxk6FADw5B+ACAwCCRMAiltpIWaNYKNM/sNdBOoP5UznzRjxyFPzYE4QMAAoNEwiCU2noagdqVR+ZkD7c5fbg4fv5geM4DPTQE4QMAAoNEwiCU2noegWbtNVAzF7TIZIFnMT+PiSuRjg1B+ACAwCCRMAiltp5CoH4dZ2nboC+V3UMkt7Pr3ZagB0hyKQClBKK2EIQEAAQGiYRBKLX1FAI128+b8zvqsjL6tC1Qs36z3VL5XIMClBKI2kIQEgAQGCQSBqHUVtIC9aPwuRuFN+vg7VXQyk5jMrNDux2VKdALQhA+ACAwSCQMQqmtdQL9r99+9dX/+t/r5ajJpg95z9rtQO3KI9uFt+cj5dnNH+pBgV4VgvABAIFBImEQSm0pBfrf/2y8afz51Vf/x/+9WZJL2fYh3SxQ78/KXQMtfbc9OBWJAr0iBOEDAAKDRMIglNrSCfTnr776P/+/L//z71/ZNF+ekM1sXC/e7r3kFGoWw9ulSN15cxToFSEIHwAQGCQSBqHUlkqgpuXZtDubfxp3fvfVV/+0w5Oz2czGTVeq7eaftV0Mb0+Dt2fK1e6Q+Kl5TIfMYLIBKCUQtYUgJAAgMEgkDEKpLZVAG2f+xv1j1PmN/ebwbGZj5zHVldtHpH6xGq3shkyNSa1BZ/15jEEBSglEbSEICQAIDBIJg1BqSyPQputuroA2/9jLnz+f04ffzqbxYO0FalqhXqVuP1Br0Hl/HmJQgFICUVsIQgIAAoNEwiCU2tII9L//+at/cf9Yc8IJ9JbZwzxeKqdOty9oZc80nmuAHrWPiA1AKYGoLQQhAQCBQSJhEEptrRDoz64jjylQtwjpRVqhTqC1Oxd+QpIU6BkhCB8AEBgkEgah1NYKgX7zlf3ny3fnTAXdwSbL7W7KI4FWFOilIQgfABAYJBIGodSW8hroP3WXQBud/ma7Juezg40fhHcCrV5qeyFUBDo5Bk+BnhGC8AEAgUEiYRBKbalG4b8x6vzOLUIyU5r+ZYcnZ7ODTW72UpY+vG2ENv8pK7czfTG1nR0FekYIwgcABAaJhEEotaWeB2ryL7Yff9Jizu1sstwsQnppBeoaou5AObcOafxIjsKfEILwAQCBQSJhEEpt6VYifWf9acT53VkLkXbNAzVjSFUoUHdCvKyEn9qNifNAjw9B+ACAwCCRMAiltpRr4X/+qh2CP6X//mW7QO08+rLu+dOs5ixrs5TTHjY3ebAcVyIdHoLwAQCBQSJhEEptpb2dnROoWQhf1YMWqNtRxOxyV/qj5TZh1ASglEDUFoKQAIDAIJEwCKW2dINIJ/Xae9nKJrOb0ZsrnoFATaMzN+fDm6ZpfbJBAUoJRG0hCAkACAwSCYNQamvFUs6Ts5WNvchp+vChQGu/mUhZv7h1nUsHI+0NQCmBqC0EIQEAgUEiYRBKbSkn0v9mhxmV2fYh7bFHxqChPo0yjT+b/774LepLCvT8EIQPAAgMEgmDUGor8Rbo3e2aPBSonUBv/lvJlKbpLZkeRDnOBFBKIGoLQUgAQGCQSBiEUluqa6A/nzR3vpctH/J+zwozzN78ryfQRqH2YI+6FWi9QaDamU4ApQSithCEBAAEBomEQSi1pRuF/6/fnt8G3fAZs/vdbjrvD0PqC9QczelvdgJd/ezaufYApQSithCEBAAEBomEQSi1pbwG2g/KbkzZ/dWd2lG+9KeB2uueZv5SMKtp9ZOrV3sClBKI2kIQEgAQGCQSBqHUVtoCfX11B8eZfUAHTdAXe0y8tEAnN1V+8OQU6NoQhA8ACAwSCYNQait9gZq1RiN7+lboizvnuCrWd+Ap0PUhCB8AEBgkEgah1FbSK5GcQPMZgTqLvriVSBuenAJdG4LwAQCBQSJhEEptJS3QmxNoXrQXOyf8aafRLzzHnCIp0NUhCB8AEBgkEgah1FbaAr17gY5mMbX6tJsqL81gmnckR+HXhiB8AEBgkEgYhFJbaoH6C6HnrYrf9CHvuUtZTBu0dnvSzztwyZKcB7oyBOEDAAKDRMIglNpSCjQYRzpLods+pHOcbYSO/VlX7ly5YrYLv9xP50qkdSEIHwAQGCQSBqHUlk6gvXF4ezLS8dnIxvozm+zEV+5gY7uOc+YJ9Bc6FwJQSiBqC0FIAEBgkEgYhFJbKoH+z79/JYs5f0Y80iMzx3JW46F4sxuTO9lj4likm38oBXpYCMIHAAQGiYRBKLWlXQvfStPIFOtQOdeJL+rxXPqqtMvgy+mD5W43CvTYEIQPAAgMEgmDUGpLeSpncOET7Vhj779iai6oOSnJ7ApqFDppSAr0yBCEDwAIDBIJg1BqS38ufJvvzunDb2XzSKCV9WdRTBvyAH8ilBKI2kIQEgAQGCQSBqHUlnIpZ9hp/xlmKacI1G6oPDmPyW4yYsfh58aR9vsToZRA1BaCkACAwCCRMAiltp5BoHYiaDna0c7OYzI31gt9+CNO5wQoJRC1hSAkACAwSCQMQqmtJ+jC564BOtUCrcrqxR7owSM9rghB+ACAwCCRMAiltp5gEElO5Zzqv9el28yuaYHyVM7TQxA+ACAwSCQMQqmt9KcxuXPhpwRqB5BqdyhnwWONzw9B+ACAwCCRMAilttKfSG9G4O2M+YkuvFmJ5IeQKNDzQxA+ACAwSCQMQqmtDUs5T1oMv5VNZrezK6Z2E6ndWk538PFp/kQoJRC1hSAkACAwSCQMQqmt1DcTud38ENLUUk6/GVNRzK/lPCIApQSithCEBAAEBomEQSi1lfh2dl/aS6Avo2ORKrMZU1W5U5Nm9mPaP4fpBlFKIGoLQUgAQGCQSBiEUltpb6jstrMryokd6Svbgzf70bsO/NJKzk2AuwCUEojaQhASABAYJBIGodTWEwg0n96PvjI9+JdahuCNJYe2PGId5w2ilEDUFoKQAIDAIJEwCKW2dCuReluAfnPOMPzbDfny5d27dz/88MPHDz/+ODLoh4/NzR8+/PTDD+9N3knaR797N74t0WzD94QhCAlJ+GwEodTWJoECLeU0DdCimFrG2TRA7VxQc6SHncZk+vG99uYhWzHdIP7MQjQ3CEICAAKDRMIglNpaL9D//mcogc6c5vHi9hFxI/FuHlM+NCgFenAIwgcABAaJhEEotfVAoN99NRWktfBLhxq3g/HmKmhgUP9oCvTgEIQPAAgMEgmDUGrrgUB7M+jb/NPyg7ZlI5vskUDtivgio0DPD0H4AIDAIJEwCKW2HnXhf77KnzsEOn2kcdgGnRYoR+EPDkH4AIDAIJEwCKW2NgwinZSNbOxKzmV/vtRmHtOEQDkP9NgQhA8ACAwSCYNQait5gd7yBz34JrU1ZyvQ4Am4EunIEIQPAAgMEgmDUGor9Yn0t9vkLPp+CmfOsT+PCUApgagtBCEBAIFBImEQSm2tE+h//faszey2j8KXU3NA+w3Qop3AdIY/EUoJRG0hCAkACAwSCYNQaku9G5PxpvHnV1+d1J/f9iHzvHjYAH0pzlKnC0ApgagtBCEBAIFBImEQSm3pBPqz3YbJ7qt82o5Mmz7kPde0QMuc+4FeEYLwAQCBQSJhEEptqQRqWp5Nu7P5p3Hnd0jzQI1AHzZAq7I41aAApQSithCEBAAEBomEQSi1pRJo48zfuH+MOr8BOlROJdCzDQpQSiBqC0FIAEBgkEgYhFJbymONzRXQ5h97+RPpXPhGoJOHIQ0EWhdnGhSglEDUFoKQAIDAIJEwCKW2dPNA7YlysosIlECzfHInpmFOPRYJoJRA1BaCkACAwCCRMAiltlYI9GfXkYcS6Jcse9wAtZ34sqRAzw5B+ACAwCCRMAiltlYI9Bt/tPF3ULsxKQVqNqanQE8OQfgAgMAgkTAIpbaU10D/qbsE2uj0N9s1OZ+tbB5PY7ICNWcjUaDnhiB8AEBgkEgYhFJbqlH4b4w6v3OLkMyUpn/Z4cnZbGWT65qgFVugp4cgfABAYJBIGIRSW+p5oCb/YvvxJy3m3MpGN4rUtEFnTubcH4BSAlFbCEICAAKDRMIglNrSrUT6rt2I/rvTjobfykYzj8mkoEDPDkH4AIDAIJEwCKW2lGvhzb7Kv3FfnNJ//7JdoNn0kXKjBihH4U8PQfgAgMAgkTAIpbbS384u02wnYkeRKNCTQxA+ACAwSCQMQqmt9AWa58ph+LrYBPL2cNtlgFICUVsIQgIAAoNEwiCU2lIL1BwvZ8biz9oOdPuRHqproFagG1ugjzYSBSglELWFICQAIDBIJAxCqS31fqB+J9DvTprEtH0lknIQyZwsl28i+XArZoBSAlFbCEICAAKDRMIglNrSCdSfbtwI9JuvzjLopg95z/JccaaHiRlF2vIajw8/BiglELWFICQAIDBIJAxCqS2VQM1Oyv/rf//Xb81KpG+wNlQ2AlVsaGdSUKAnhyB8AEBgkEgYhFJbKoH+bDcCdQIF21A5W9iSvnoJf7K1C0+BqkMQPgAgMEgkDEKpLeVSTreI0wrU7w56eDZ9SCvQ2cueZdUZ1CyG3zSIRIGqQxA+ACAwSCQMQqkt/WYiItCmCYqznV0j0GJ2EKkuy3aOfWVm0m8CSYGqQxA+ACAwSCQMQqmtFdvZiUDB9gOd7cGbPnvROLS2Fq32zmLiKPzDEIQPAAgMEgmDUGordYHesvkevJ26JAJ92b4ZE+eBKkMQPgAgMEgkDEKprQ1d+G+AroEubqhs9wAt/Cynuty+kJMrkXQhCB8AEBgkEgah1JZyEMm0Ob1AsTZUzrKFhZy1aX7KNVDXg3/gwk0BKCUQtYUgJAAgMEgkDEKpLe00pt+IQM2cUKANlbOl/ZSbLnw7iFQWRpyPeuObAlBKIGoLQUgAQGCQSBiEUlu6lUh29rwV6HdgGyovCvSlG6A3Bxtnj8eDpvLwAQClBKK2EIQEAAQGiYRBKLW1aimnC9SGyplqLyYzi6kRaG4Ph19p0MfKBSglELWFICQAIDBIJAxCqS3lZiKm436uP09pgYYCzSXrBKpotAKUEojaQhASABAYJBIGodSWejs7r9Cz9Ll5FH5+JWdfoGVehAbVvsLjafQQpQSithCEBAAEBomEQSi1lf6Gytoz5coyCwyqfQUKdEUIwgcABAaJhEEotZW+QHONP92ZSBTouSEIHwAQGCQSBqHUlm4l0inbLw2ylc3SRNBAoEUeClT9ChToihCEDwAIDBIJg1BqS7mU87R96LtsZVOoRpHKnkD1r0CBrghB+ACAwCCRMAilttQCtfvRn5mNbDLNmZxmYxHbhXeXQde8BEfh9SEIHwAQGCQSBqHUlu4a6H/99twpTCbbPmSWFYouvDlRrihWT2Gy4TxQdQjCBwAEBomEQSi1pR5E+tlPAwU7lbMRqO5Ej9LOYxqqUCNUrkTShiB8AEBgkEgYhFJba0bhv/MO/c0GPT7Otg+pa4G6Tnx/BMlocfWypMkAlBKI2kIQEgAQGCQSBqHU1sppTN+d15Pf9iGz+f1AJ9qgxpl+EClzXx9hUIBSAlFbCEICAAKDRMIglNpaPw/0ZyyBFtV8C3Twk1KWw/ttRTYtjZ8IQCmBqC0EIQEAgUEiYRBKba0U6DdoLdBctxDJ+bQsyqLtyGdZ9xUFekgIwgcABAaJhEEotbVGoN/4a6DnTKvf9CHvyiEksxq+SVmGBqVADw5B+ACAwCCRMAilttQCPXcE6cu2T3l/LbQtUCvQ2gi0oEBPCkH4AIDAIJEwCKW2dAL97uw5TF+2fcrX13L2UOMpgzqBFhToOSEIHwAQGCQSBqHU1oqVSGfOov+yXaDqa6CVPRw+EGg3irSJcBuAUgJRWwhCAgACg0TCIJTa0gr05HWcX7YKVLcS3qU2CrVXQWUG6CH+RCglELWFICQAIDBIJAxCqS2dQE/fSeTL5haofhD+paqbJqjpxRtnuulLR/gToZRA1BaCkACAwCCRMAilttLeD/T+usKfdlPl2hwWn8lM+kMWIiGUEojaQhASABAYJBIGodRW2gL9sk6g5gJoaZZ0yuOPMShAKYGoLQQhAQCBQSJhEEptKQUq2zGduCnTpg/5umIe/YsdQCqK1pjZMYPwCKUEorYQhAQABAaJhEEotbVuGhOeQFdcA62cQNsDPTiN6egQhA8ACAwSCYNQaksl0J+/ghWoajtl58+qyMMWqMwD3T+OBFBKIGoLQUgAQGCQuBDEbEMIQKDfnD4J9MsFLdDaXAA1l0BlDGnDGXOTAaguELWFICQAIDBIXAdifjgjvkD/598v8OfpAq2sPu1STg+8E+i+VihAdYGoLQQhAQCBQeIyEAtTauIL9L//+aT9Q3rZ8iHv93JhN7t+Wn8W+bAFmhcrj5rrB6C6QNQWgpAAgMAgcRWIbk7iuBZToPO53wttE7TKy9xdA3WnymWBQWWDpk2gIaoLRG0hCAkACAwSFKhJ04XHFah2LWdVBAcbC3Knz/YHGw06U0oOmaSvDERtQfAGQUggSFCgNt+dug2Tz5YPeb/nyj58VQ9aoJ1B+2LdkOlSctAyJ10gaguCNwhCAkGCArW5pA+/5UM2AtXNpK/qOvezmApZiSTEZX+mYwV62EJRVSBqC4I3CEICQYICdfmv3yrboP/48xuXf/tP+/0v5uvfy0/73w2y6UPelZdA61ran2YuUy4zQW0TtNtk+UCBLv1GTwhEbUHwBkFIIEhwFN7E7weqmUj/9697Av3WffO7v34Zf3eIQLXTmKqykBaomwkarOYsO4NuIk2BSgC8QRASCBKcB7pSoH/7g2962nz/5s0fzW1Op/3vDhHo/VV5KnxV2GudspmIoDb+LMwOTc6gBw4iUaBxQhASCBJcibRSoL+EPfSmOfpH82/jzD8NvztEoFkjUOWhcm6mp1WoG3Y3sDN3gzPosdOYKNA4IQgJBImEQRwo0BX53knS5Zeu7/774XfjbPiMKwRaFpmcg1QUfjq9+6Zpk9aV6eIfOpGeAo0TgpBAkEgYhNJ4Bwv023/9S/CNdNa/N+7sfzfOhs/YCDTXHmvcHiRne/Gm1WluKd36eLvL8ibMJhyF9wGoLgQhgSCRMAil8Y4V6N+//t1/fC0j7f/4szQ1f3nzr3/pfzfx2A2fMbvfc+12TLUXaOvPusyLvJQUxSbKNpwH6gNQXQhCAkEiYRBK5R0r0L/94U030t4o849ysxVo8J2//5sgG17ufr+/fvqoNOjHV3v/z58+ff786ePHDx8+mq8+Nv9v8vn1fgSAwbu7H/6kDMOsyrn18FiB/uLnL9nuuowaOWX2v/P33ynQL40PP3/8oBToZ8vys/Hnpw8//vjhw6fmi08fvT+PFyjDMNFzv59q0GWBjsbfH4zCy+XNprn5p55A3/yp/93EYzc1sz8XRVErV8OXbgWnHXY3+ytXdfNY34HfsxkTQj8For9GEBIAEBgk4oPIsvt907W0KAJtY0baFS3QvQK9v7pZSCqBVnacyFwFtQfENwIti8Kc1FnmflrTxsQvJRi1hSAkACAwSEQHkbUCXVu/4wr0+6YPr7gGepBAdS3QurZNUDt13vqz7nYI3bUrffRSAlJbCEICAAKDRHQQkQW6OV6g7bj77/7a/27iIVvw3E0XXjuRya7ntAPxts1qWqB12T8naVuilxKQ2kIQEgAQGCSig0hZoOHMz9F342zB8/qq3g/UtkFdU9P04W0LtGpukLM5t7y8T/RSAlJbCEICAAKDRHQQaQm066Z/a744fyXS62u+wp92RbxdgGSmgdZGoO7bzduIuEQvJSC1hSAkACAwSEQHkZZA28bl3782lzkvWQu/WqD2CKRC5s8fsV4oeikBqS0EIQEAgUEiPoi4o/Br08jRtC7leufZuzFZgerPNZYtRbLC7w3qrolSoEeFIHwAQGCQAADhBbr6cUrlHXwN9Bc/K9530k/eD9SshV/TAn2RU4zz9nQPCvTAEIQPAAgMEgggrEDXP0xpvKMHkdyW9G0f/dwd6Y1A1zRApQXqR46yrBXohhfvAlBKIGoLQUgAQGCQQACRlkC3ZxOblddASz+K1G6VlB+x4wdAKYGoLQQhAQCBQQIAhBlp3jLLRqmttAX65ZN2Fr2NWXpkp8x3m3XuncJkAlBKIGoLQUgAQGCQiA8iy61A11dypbbSFujr6xqBVnbbT9vezHrZ8tJB4pcSjNpCEBIAEBgkooNoWkhOoKsNqtRW0gJdOQ+0qqu69CCPNGj0UgJSWwhCAgACg0R0EHkr0LVTvZXaSlmgWSNQ/ULOl6pyx2+21pw06AahRi8lILWFICQAIDBIRAdBgS6kEejnFQI1ByMV9ipoN3tpJNAtTdLopQSkthCEBAAEBonoICjQhViBrhlEKu1xcrkbig8H47PuKTcYNHop2VdbjrgM7JI4iOMCAAKDRHQQFOhCsuz+ed0ofN1un+wOmBv6cttl0eilZFdtOWYgzSZtEAcGAAQGieggOIi0BMcIdM1E+rpyBp0W6KRSNYleSvbUlqOmIpgkDeLIAIDAIBEfBKcxLcFZ2QK140hygofrw3d/nOwN/vZ1wOOXku215bCpCCYpgzg0ACAwSACA4ET6hdxfy1WbidhevJ1O75ua3Wag7bciVT1ygFJCgfpAaAMBBAYJBBBcyrnwIVdNpLcCLUu3E72d0iSulClNeZcV0AFKCQXqA6ENBBAYJBIGodRW4gK9q09EagXa/MduRl/XdjumvDenyWzT1N2mfBcApYQC9YHQBgIIDBIJg1BqK3GBfmlakmv68PYkOdfrryrTDB0btOhuUb4LgFJCgfpAaAMBBAaJhEEotZW6QLOyWiFQOwhf+8umzb/lhEGLfO0mdwClhKPwPhDaQACBQSJhEEptJS/QYlUDtGl2Wn/aQ+UqI9R8ZNDVbTKAUsJ5oD4Q2kAAgUEiYRBKbaUv0FrbBK3MScbWm74339zQCnSwu8ivSKBciXR8AEBgkEgYhFJbiQv0nuW1ciJTXb9Uvbuas41FoLegJba6UwtQSiBqC0FIAEBgkEgYhFJbqQs0zwt9D77vWtOLl2ug5slaaa7t1AKUEojaQhASABAYJBIGodTWr0mg5iT4qn+DzFnqP+3KTi1AKYGoLQQhAQCBQSJhEEptJS7Q10I/i8mOH/X68HV5yAgKQCmBqC0EIQEAgUEiYRBKbaUt0PvrmmmgpgUaduKr4pgRaIBSAlFbCEICAAKDBAIILuWcTXa/lys2VLYCFXlWTf89O2YEGqCUQNQWgpAAgMAgAQCCm4nMo2kEmq8QaNX24O34e7n7OE4fgFICUVsIQgIAAoNEfBDczm6BjRFovs6flf/S7Gl30OxHgFKCUVsIQgIAAoNEdBBZnn/+bDe94IbKYzhWoOproIW1p1uHZNufFOjBIQgfABAYJKKDyPPCCrTgkR7jZOuONTar4O0wUvViNlU+bP1N/FICUlsIQgIAAoNEdBB54QVaUKCjmMsbKwaRzCagdvVRLVvSr3/JyUQvJSC1hSAkACAwSEQHUbQCLVY+UqmtxAW65kiPqsxz0watC78l/fpXnE70UgJSWwhCAgACg0R0EI04P30q7e7pKx+p1FbCAs3Mscb1mi58Q7F0MIsiO2gO0w2glIDUFoKQAIDAIBEdRF6UVqAlu/CjZOZUzjUNUOvOsjQj8EV24D5u0UsJSG0hCAkACAwS0UFkrUA5Cj9i0wj0dYVAC9f49FuIHLiTcPRSAlJbCEICAAKDRHQQee678ByFH8UKdMU8+rKo7ZFytbumvHrj+dlELyUgtYUgJAAgMEhEB8F5oAtszDzQFQK1+9cZkbqz4Yu1Rx/NJnopAaktBCEBAIFBIjqIrF2JRIFOwLnfV+wG6hRqVyHZkfi1h2/OJnopAaktBCEBAIFBIjqILPNr4SnQKTqNQNccieSO9TAnGrurIt6gG165l+ilBKS2EIQEAAQGieggbDd1U0dTqa2kBXq73/VL4YNmqPGn30t50z4Dg0QvJSC1hSAkACAwSMQH0Qp07QOV2kpboF++rGyBWoHW7iKocechS5LilxKM2kIQEgAQGCQAQHiBrn6cUluJC/ReKo+U68UaNDP+LI64DApQSiBqC0FIAEBgkEAAwQ2VF9i8FvqJoL1GaNODz3IzveGAqUwApQSithCEBAAEBomEQSi1lbZAX183dOGtQW3b86CpTAClBKK2EIQEAAQGCQQQbIHO53XFSqSePyszhmT96SW65dUlAKUEorYQhAQABAYJABC8BrqQ188bG6B+OZLxpzPolleXAJQSiNpCEBIAEBgk4oPgKPxSPn/c5E+zGsk0PYu8XdW55dUl8UsJRm0hCAkACAwS0UFwHuhiPn/Y1gCt6tKOIBUi0F19+OilBKS2EIQEAAQGieggKNDFvP64sQX68uJ2VfYCbfFuauxHLyUgtYUgJAAgMEhEB0GBLmaHQO25nLnbYLnFu21OU/RSAlJbCEICAAKDRHQQXAu/mM+bBVrVVVlmRdkT6MYtQqOXEpDaQhASABAYJKKD4G5Mi1nZlcGDgwAAIABJREFUApVj4e1V0LpyB3y4E+KzW+DPlbCjlxKQ2kIQEgAQGCTig8i9QFcPEyu1lbZA7+tG4StvUKdR04n3RyTl/QYoBbotBOEDAAKDRHQQbIEu5v55lUCNNSsnUOPSyhx0XHZHnlKgO0MQPgAgMEhEB8FroItZP5G+qoKvapnJlAvsTqBZpv6zFb2UXFNbHv9l+ZWAeBwAEBgkooPgKPwinQ0tUG9P1wZ1B3vIBZJQoNafSoNGLyWX1BZF2/zXAUIRABAYJKKDoEAX6dxfVws0GEiyAi2CK8yZnRhqFnZ6f+oMGr2UXFFbNFc3fhUgNAEAgUEiOggKdJHO64pz4a0z67LqOvF1VXuByjT6vJ1X321X/xh89FJyQW1RXR/+NYBQBQAEBon4ILgWfiH555VdeNNzL+Ugz7qs6zLcSiRrBZpToINQoGsCAAKDBAAI7sY0n2LLWnhpgfrD5YrQnxOhQG0o0DUBAIFBAgEE9wOdTf7xw+pR+NCkTRu0zN2Quw0FOpurBLqptxUEQhsIJQKDRMIglNpKWqDFp9UCDeOORrqJHXIKdD4XCXTLNNxeILSBUCIwSCQMQqmtxAW6dT9QJ1DXhc/yUfuzkylH4X0uGYXXvMhyILSBUCIwSCQMQqmtpAWaf9q2H2gn0Lo02yrnXqBF1+zM2kM7H78NgFLyHPNAVc3c5UBoA6FEYJBIGIRSW0kLNNvTArWXQL1AxaBBs9MOyeuWgAGUkudYiUSBHhgIEgmDUGorbYG+ftp+DdSPwpdF2Z5unAfLj/xSTk1lBiglELWFApUAlAgMEgmDUGoraYHeXlevRAoE6vxZW4EWUnHdBdDApYraDFBKIGoLBSoBKBEYJBIGodRW2gK9f9x4KmflhuAbf7oWqG+C2icd9OYpUHUoUB+AEoFBImEQSm2lLdDPn7adC/8imynbYfjCbmqXD/xZdAZ98C7e7Zt5c0QgagtH4SUJe+PYJAxCqa2kBZq/fiofy3Ki/VnZ45CsQ81y+NoKNNiSKfdD8CqBZu92zl08IBC1hfNAJQl749gkDEKprcQF+nmLQE370wywG4kafzqL5sG5SGsEmnmBRjUoRG3hSiRJwt44NgmDUGoLR6Bv1+f96+cftgj0w4cffnj/zuSnH3744ePHjz/99N5+3zynvfm9yQ/2/92t83nXZcMnOCqb8D1jCEJCEj4bQSi1hSPQDX8k8tfXrYNIpZ39adqZpe3Tl665GbRAlUuRsrYFGrMJCtHcQGhvEIQEgkTCIJTaSlygq3ekb+NnLuVF7bZnKr0ts86gqkM9KNAuANWFICQQJBIGodRW0gK9ff60WaCVuejZOLKW3e1Kd8GzM6jOiRRoF4DqQhASCBIIIOyhcusfptRW0gLN7jsEagbey6LuToq3Czdtu9OtStIpkQLtAlBdCEICQQIAhD/WePXjlNpKWaDZhjORuriZ9FUg0MI3PNcdgspR+DYA1YUgJBAk4oPIvUBXG1SprYQF2jjrvvpY41CgjULrbodl06fXrj3qvw/OA/WJX10Iog0Eieggmgr9+bM7+WzlI5XaSlygrxtXIr343UCDh1fh4s1VOuRKJJ/o1YUgukCQiA4iz4tPn0p7cs/KRyq1lbhAt02kdwKtOoGaZmi9WaDRSwlIbSEICQAIDBLRQeRFaQXaGHTlI5XaSlug25ZyemlWdiVn5Q1aFaE/KdAtIQgfABAYJKKDKEov0LJY+UilttIW6OcdAjUHHBdl7Q1al0Xe7QBKgW4KQfgAgMAgER1E2Qq0XPlIpbYSFmhj0M+f114DrYKvzD52TT++sq3RvPDD79maSUw20UsJSG0hCAkACAwS0UHkrUDZhR8n2zGR/sUc52FaoHVl9qYviu54zixbdyE0eikBqS0EIQEAgUEiOog89wLlINJUPu85VM40QJtOvD3aQ3ZU7vlTa1B1KTlvulP82mI+2rvYbwIBhEl0b9xASEQHkee5FSinMU3mvudY48pspVyUbkJ9d6hH4E+l7bSl5MQFS9Fri/1k7yJP5roBgLCJ7o0bCInoILJ2Iv3asqnUVtoC/bKnBVoVWe72pXfTHFq9ZecIdN2Trkvs2pJ5gUY3aGwQLtG9cQMhER9E5ifSry6ZSm2lLdDXzS1Q03EvM3sN1HblW4FmZwl07bOuSuTakrUCjW1QCG0AeAOEBAAIL9DVj1NqK2mBZq8/bm5/enPW7l9zkYQC3RwKtB8Ab2CQiA8iy2wXfn3BVGorZYFm2aft10Dd0JFtgtqTOSnQHaFA+4nvDRAS0UFkrUB5DXQCzqcd10C9QK1B3RlJ44uguvdBgVKg/UT3xg2ERHQQWeYHkSjQKTifNnfhKzP70139NJMciv4apHWio0Ap0H6ie+MGQiI6CI7CL8HJPm+/Bmok2ho0H079XOU5jsJzFL6f6N64gZCIDoLb2S2kEeiueaCVPQ/eGLQ9yWOTADgPlPNA+4nujRsIiegg8rywAuV2dlPJ7juugVZ2+KgscjeCtGOZEFci3bgSqZfo3riBkIgOIiv8fqAFu/ATed28Fr5pfrpJoG4Efv0lkiDRSwlIbSEICQAIDBLRQeR5+fGjqedsgU5l+7HGdjdQM5DkTojfZdDopQSkthCEBAAEBonoIJr+pRMoN1Seyuvq7ezCJqjdhskeZ7zPoAeXki0dfYjaEr+6EEQXCBLRQXA7u8W8ftom0Mr+z85kqotCL9Bptx1bSjYNNUHUlvjVhSC6QJCIDqJoj/TgjvQTef20/VRO2wp1M5kae6r2G5hx28ZSMu3JbZOdIGpL/OpCEF0gSEQHUbSDSBToRLZtZ9edZGx3UjYCtf8/Ly1ntDm3bSsl08+1cbo9RG2JX10IogsEieggmprtpjHxGujkh9yxI72Jmwhq9wV1WypPv4wT2uw2oZtKycxzUaD7QhASCBLRQXAe6PKH3CnQl6YFahVayJb0U6/ihdat9jxAoHOipED3hSAkECSig8jalUicBzr1IfcKtKoLb9D5Y5BEaLNndlKgPtGrC0F0gSARH0S7mcjaByq19SsXqHTii4Xz4PUCXeE9CvScEIQEggQAiMy2QNfPUVRqK3GBbp5I3zZBq6rO3FKk3QJdI75ZUW7yJ0ZtQaguBCGBIAEAwu8HuvpxSm0lLtA9m4mIQuvazQR9JNAsn2mmvh3cb+qdDn8w39Lc4k+M2oJQXR6B2MB2QwBAYBSJ+CCy7H7f9EtXaittgd53d+GbFuhLXed2JujMlled6mZaqW8Hd5v4XY1/MH/nLb9uiNoCUF0egdj012l9AEBgFInoIJpftuvCc0PlKTq7BeqmhNbLM0E7103XvscCnfrJoXUZorbEry6PQGy7PrI+ACAwikR0EFnmpzFRoFNwtu/G1E+RFQ7yokHn3sdDgU7/6MiaDFFb4leXByAWOwlHBgAERpGIDoLb2S3ByY8S6IOroA9ct1GgRwaitsSvLhRoF4giER0E18IvpBHong2VQ4GWxaJAl0OB+kSvLhRoF4giER1E0e7GRIGOkuV7GqBVHXxZ2iGkXQJ9NCxEgV4RClQCUSSig6BAF5LlOxqgpt3p9rRr/mtXI83PBH2Qh/NAKdDLQoFKIIpEdBDswi9ll0DNmUgvbmPloqztyXI7BTp/qfT0egtRW+JXF47Cd4EoEtFBcDu7xew51bhpdxqDNhrNXRN/aw9eU0rOrrcQtSV+deE80C4QRSI6CI7CL9LZdapxXTYGNf9vLoAWlvF5xxqfXG8hakv86sKVSF0gikR0EFnmu/CcBzpFZ9csJnPSVGn+V5ZmGn25acsBk+ilBKS2EIQEAAQGifgg8twKdPV2oL8Ogb7u6cPXZjv6xqJuT1C7KRMFuisE4QMAAoNEdBBZu50dW6ATdD7vGkWyQ0eNOv2/qmORphK9lIDUFoKQAIDAIBEdRJb53Zgo0Ck6n/aNIrnzohuBmkZouamhbxK9lIDUFoKQAIDAIBEdRNbuxkSBTuTTrhZo9VJXtvPeGLSUkfgN7yJ6KQGpLQQhAQCBQSI6CAp0Ma87/OkkarrudV291G6y7aaroNFLCUhtIQgJAAgMEtFBUKCL2bMW3sac6FGWlR2SL6cPP30MP3opAaktBCEBAIFBIj4Ibqi8lPveFmhjUNP2NPsqV2U5dfipYup1/FKCUVsIQgIAAoMEAAgv0NWPU2rr1y5QM5JUlnXz/+ar/tbVhvvMMUi9AJQSiNpCEBIAEBgkEEDYUfj1D1NqK2mBZruvgVqDlkVtevF2XlPeydL6c+4guTAApQSithCEBAAEBgkAEGyBzqPJDzlTrjLTmEwf3q7rbGWZeYGGJ8lNm/SUUrLuug1EbUGoLgQhgSARHwSvgS6wKQ8QqGl4ltaflbFpu6WIs2benRl/m70eekYpWbnrBURtAaguQxDXLH0fBQAERpGIDoKj8Etwyr2D8C5ND95cAbWN0KJwrU5vMLc+KQ+dOv5VnFBK5l5qLhC1JX51GYJY+WfosACAwCgS0UFwJdISnIMEanvwbn/lym1NL9122wD1my3Pb8d7fCmZfam5QNSW+NVlAGLtn6HDAgACo0hEB8G18Etwyj0rOQOBvhiB2iboSy1j8bm7AloU7fzQiwWar/m1Q9SW+NWlD2L1n6HDAgACo0hEB5G1uzFRoOMcItDK58X9zx+QlBl5GYX5fUYub4HmLhToulCgEogiER1EU4HdfqCrZzIptZW0QPMD/GnP9ChL2393/60MbWNQu8GI2+cuz3rpv40zBJpLdA+AqC3xqwsF2gWiSEQHkbWHyrEFOoZTPdajxp92Z2X7tWuP+uugpvduZobmwUXRQX1035wg0NafyiYoRG2JX10o0C4QRSI6CB4qN58sO8Sfld1YufCXQc0NduDdHfNR+hPj7SjetD+z7IRSkgcG1VR/iNoSv7pQoF0gikR0EDxUbj5ZeYRAS7sUKTdb2rkJobUddS+sOG0jVE6MH82Kkdr5bvVbf/zZegJ9XP8hakv86sJR+C4QRSI6iKYuf/5sJyNSoMPkRwjUTAG11zxNG9ScMdcK1NrLC1Rq4aQ/s3fHV9DgIqjKABC1JX514TzQLhBFIjqIpl5//Gj7mBxEGrE5pAVqroDaQe/Sregsazto5C6D5u60zulrkT2BHlxR3RMHV18f3B+itsSvLlyJ1AWiSEQHkee1FWjNUfgxm/KQQSTDVqbMl6UZg/eXPX28SpcFKk2dwypsK1BdIwqitsSvLgTRBYJEfBBlaQValmsfqNRWwgLNyuqAeaBN695oyo0bmUZo7SYtDQQ64bBAoBJdc1H36TLlXlA2ELUFoLoQRBsIEtFBpDcP9Ps3TX7vvv7Hn9+4/Nt/2u9/CX42ymo22SHTmF6qUubMu0ueVqjdME4wBXT0+iLQduWnssOt/HhZPvvaw0DUlvjVhSC6QJCIDiJvVyKlIdC/f+2M+a9/Cb/zAv3WffO7v04+dD2cQ4bh/cqj3A26B3svtWuBZiU2bIHqe9zaDzj/2oNA1Jb41YUgukCQiA6iqZJuLXwaAm2anEadf/uDU+bf/uCbnjZN2/SP3c9GWQ8nK47ZTMSfLecEGgy5DyfQj9+Ay9uzBKqfhwNRW+JXF4LoAkEiOojEBPqLb3o2lvyT/TborzfN0T8GPxtlPZwsP0qgL37uUiFzPjtjLbYC3c1vvT1b+x438Kt9OojaEr+6EEQXCBLRQTTV0s4DTUSg3/rWZdMSNer83inT5Rfpu387fRl0PZxDdqQXgZYycckrS8SlmEr01rc+gzXz6z/M3GfUPRtEbYlfXQiiCwSJ+CByvxJp9alISuUdLdDfh19869qjcpPvun8/fRV0PZss/3SgQPs7gWatR50YlzaWe+uvl54hUGUgagtAdSGINhAk4oPI/DSmtI70cN31v3/9u//4WsbdfaP0S9fPH2QDm+wwgb7Y1bLZ0J92XpLflX7+fYhA8/EFgKsCUVsAqgtBtIEgER1ElvuVSGntB/qLjCV14+6NQH1//m9/aAX6JsiGl7kf1oX/8dOnz6+vzTP28/r62vzvs8n9vvRG7vZOr+b+98V7MgxzXZp6+cmkqZznvMApAm0aoKa7/oufv2Q77zKGdKRAPx8qUCNJly+BQCWLXgzuSX8yDEwaf340aar3OS9whkAbV9qrnHKxs2l8/qkn0Mlh+PXN8/ywaUymC18WuZ+63g2963aVextsnhRh4bUJRH8tfoeNILpAkIgOoij9Wvgynd2YGlUOLnKaIaXJFmiY1WyyvD5OoJX3Z3/nT61Ag/ut/hiHBKK2xK8uBNEFgkR0EGVdf/hgN/1duxheabvjBWqWHw1amN83ffjJa6BhVrNpBHrMoXIvdl/6dj1nOIbUy5xC367evvPwQNSW+NWFILpAkIgOoqyrH40lqmQE2nTQR370Am1H4Y+ZxtQI9DB/mnmgcgJnfxRe0Qh9u3r7zsMDUVviVxeC6AJBIjqIon6xAn2pE+nCT/nTCjScBzq5lnM1m+yQDUGtP00Lvy7cIXJF14nPh/6cVuPb4BTNA3cTWROI2hK/uhBEFwgS0UEUdeWbSGkItPFn27zsOu3fmi8OX4mUZYe1QF/MeUjmXHh7vEfux5Hy3rZ2/Sny4ddv5Zrp8YvhtYGoLfGrC0F0gSARHURZ+i786g1BlcY7VqAy/u4iTc2/f20apSeshT+qBdpq1F5tLvz2//1roVnPjL1v3sr33V4kOoEep1qI2hK/uhBEFwgS0UEU7SBSEi3Q73v990aVpq0pVz+P343pkP1ABwZ9sQKVqUx+alLgUvfKve/e+lvyYDGo6v0f11iFqC3xqwtBdIEgER1EUXqBJjGNqd3/06/f/CX4+svx+4EeN4jUCfTFHgsvV0FlatJAoINv37rb3FJO/UB838L7AlFb4lcXgugCQSI6iKLwAk3iVM527WawAP5NMKnp2B3pb/nxLVDTBi3bLUEGlz8XBToYSHr87oet2l2BqC3xqwtBdIEgER1E3p6JlMR2dnuyAc7hArUpxZjD8aNxD34g0G4Te8W7p0DPCEFIIEhEB5EX/kwkHms8AecMfVZ1OWyA5t3aJPfCswKVqfiady/3pkCPDEFIIEhEB5G3uzFRoGM4Z7RAW4HeZB+7YHm8f+F5gWb65Zzr2qsPAlFb4lcXgugCQSI6iKzdUDmp7ey2ZAOcEwRq1nS6+Z9ZbtclFRNjQt2ET/ttKFB9l/zQDUggakv86kIQXSBIRAfRCNQOIlGgU3COngdqTokvXZvTrEFyKztFoLZ96Zqm3a4jNr6UrLykSYGeEYKQQJCIDiLPazuRvmYXfpysONqfZkmnXcyZt4ccSR/b98/FoqH4pJSsGxJiF/6MEIQEgkR0EFld2RZoVbMFOoZz9ChSbeNanXln0MCfbnX8oKnZlpJVQ+rTg0gbR+Uhakv86kIQXSBIRAdRtgJNYinnnmygc/RE+sootHI7MuXeoG5MKBiUL7qz4/zb2FZKJq+Zbp3XBFFb4lcXgugCQSI6iKZCS9to5SOV2kpZoMXx10DNUqSyzO35cuGk+E6gfmj+HIEGt6wTKURtiV9dCKILBInoIGppZFGgo2RHC7RyS5Hqoiy7c+IHAi2CuU37BDox6JSNon0uiNoSv7oQRBcIEtFBdIpgF36Yg8eQTOPTbifS2LMOz4m3r+UFWrQCzXcLdNxf78Q5vMz6KBC1JX51IYguECSig+hmOlYrH6nUVsoCPbYBai+A2j1BrUPLwvxHFjAEAm0l2sptcykRRfb+dS+1sg0KUVviVxeC6AJBIjoItkDnc/w00Ko09nyx00EbeZodCGSSkTeobXweJlD5IL3rnhTonhwNYtuYHgAIjCIRHURZtXV75SOV2kpZoOeshXe0TQtUtmVyr5Z1G9ZZge7vwsvnaF1Jge7OwSBWXoqWAIDAKBLRQdStQDmINMqxAg3nRLkWaH97eenFh1s0ufcxVUr09S4cMhpdAqVAV+ZYECt/C20AQGAUieggmh6lO9Kj4jXQUbID9WmORAq/Mw3Qshg2QdtlnL15TBOlZEW9CwW6eRweorbEry4Hg1j9a5AAgMAoEtFBlJWfSM8u/EQO3EykqgKBms0HCj+TyfenWyV264cWBLqm3vVr6VCk3V0WnwSitsSvLhRoF4giER1E0R4ql8KO9Luygc6Bo0h2L3r/dW3ngtYyE9Re+GxPiw+2YpoV6KqKN33nkT+XnwqitsSvLhRoF4giER1EXvjNRLih8kQOnAja77+ba6B1URbttE83aCRt0EG1OkOgQatT81zHe2PLA6NXFwq0CwVqkhX+SI+Cm4mMc8YwvMykb/5n3Gn3YnXj7m1VGtaqfQJ9JEjVkx1ZWzYpwyZ6daFAu1CgJlm7Iz0FOgHneH+amfSlb3qafxqVjncQGVSqnQJ9YKyrBbrRGSbRq4sBsbn9PJGtLABAUKA2WeYFuvp3qNRWygLNT9hQuWr+YyeBul68vRSa+4ZoV5f6lWqvQJf7zBcLdHOr6zYGcaTLlPly39x+nspGEtG9caNAXXikx0KOE2glm165+UtWnKYT78eSrEDLfK4y7RuFf5R0BXocA33u92Nf9Zi/JDFCgZo0jZ/Pn91AxspHKrWVtECP3A/UreCsq6bjbtugbl282R5UDFrMVaZ980AfJVmBHvlXRJusFejFLd9+onvjRoG6NFXXnYlUcBrTGM6B/mwaoebip2lout2Y7MT6ymi0lguiUycQm6r6buK9HViHNSICFOieJ9ocCrQNBWqSF34iPVug4xx/JJLrvdvmp5tX39iz8aptf5ZTpxfZqvru5MqqMAIF6l+UApVQoCZ57SfS1xToMNmhXXgTM12sNAat/UkA9pA5uzmoXZY0fgteoIfV1umq/1gIgKPwFGjcUKAmdStQbiYyTHb0KLxpa+Z2zF0EWttdRWyr1M4EHb6DVqDH9tbXP3AlvsVX2S4gbIFe+Faie+NGgbqU7WYiXAs/zOECfbHnyZk5n74Hby6BmnH48R7K/h0cLNDtxlmH78GrbDZNfIEujMJf+V6ie+NGgbqU7ZlIFOgwWXbgZiIupWyYbAXqJoSWlcxkGhl0WaCr6+uSch482Sp8p4kt/ij8/DzQS99NdG/cKFAXCnQ+WX64QKt2w+TSTmCyw0fufCS/QWj/HZjk+ft8apbu+vq6INBHT7YG33lNQ4B5oHMrka5tD0f3xo0CdeGGygs5XqAvpgfvDVq6/5qJTXZQ3owmtQNJriY6fxqBzo0vraqv85X84ZPN4FuS8fkCjbISaaYcUaBREh1EN1OH80BHOWEpvG9nNk1KsxFo4UbfzbC8uRxqBumdKqUqus1B309McBpVWEXdna3kj2v/NL4HNj5doBFCgUooUBOeC7+Q45fCv9TuKKTcNS9zv5ddWZr9lu0CJdtbl6qYZ/bn7/NxvRxWWE3lPVqgm59ta6JXFwq0CwVqUvpdfjkKP05WHt+FD6crZe0ZSIU77bjuDvlw/vTnHL9/bCld7Z271zaBzj2KAj09ACAoUBu2QOeTHb4S6cUuRmqXzVpFWk3a445rOxrfCbQ9Xu7dQ4Fqq+/MfY4V6FWj8FEyW46u9CcCCArUhufCz+cUgb7YZqa0Gt2RSKYTby+BFqFAu/M5H7dA1e2f6bscLNDThsejV5clbVzoTwQQFKhNULNXPlKprZQFes6G9MagrfR8C9RvaBfsS59l/rCPsUDddz15qQU691EfPXqdQM8aHo9eXRa1cZ0/EUBQoDbdam924Yc5owVaOYV2A0XtsXJuED5ogA4E2r2trGdQf9vgKPnVn/WBfVcK9KREry4g2kAAgUEiOgjOA53PCQK16zetQFt/WksaXdqZTIW1kfyg6Lrw3btqpRWoS/r72132wINrRuHPS/TqAqINBBAYJKKDYAt0Pqd04f2WIn4I3irSTQl1c+r9Ys7Mj7+3Au3e1KjZ17Vj88kVS4dkzTzQ8xK9uoBoAwEEBonoILqJOtXKRyq1lbJAT5gHakm70zvkKDk/jiSrOZ2O5Lh426oMS8lIoD1/XizQq5cCaavLiW8LQhvxvXEDIREdBEfh55MdvR2o02dl1xuJP91Vz9x32QtZcxRcH81uSwLNegI9zWYQtUVbXc5sGCcF4tRAkIgOomqvgbIFOswJh3LaWIEWrUAL04HPi7LVqXntYITptiTQ4H6ndqchaouyupx6aTYlEOcGgkR0EFW7EokCHeacFmgjULd+0x0kZ5RpdFrKYfET85IoUB9VdRlfJT4yCYE4ORAkooOoW4FyEGmY866B+m2V3aiRm0Zvp4eWcrpxvxk1vY9w8B0FGoQCvSYQJKKD4H6g8zlnJdKLXRBvWpy1uxzqTpkzX/uzkbLQoOaNTO4j3PumFejqD6kMRG2hQCXRvXEDIREdRLvlZcVD5UZszhKoOcOjdmfDl376kjvj2LVA88Cg9o1M7SMcfu0MeqY/MWoLBSqJ7o0bCInoIHK/41BVUqDDHH+iRydQs3+dPRy+dHGnxEufflD5l0pJa9BT/YlRW7AEemqL/0Gie+MGUiSig8j90b31xJ7ny1FqK2GBnjOP3m3I1BC32y+JQe0pc5U7F2mVQC+azA5RW6BG4a/hPpPo3riBFInoIPLCjZSUE4eSL0eprYQFelYP3hze0fTXK7coSfrwRqiyenONQK9pCSXV8DrTbQLiVEs/THRv3ChQl0JGmkse6TFic5I/K3PF0+qzsqcg+Taos+nUpiDRS0lqDa8T36IHce51gocBKBEUqA1XIs3nnC58I0+Z+WA3oc/dyUj+dOMcXKC/+oYXBSqhQE24Fn4+52wH2jQ+g8GpujDnHrnpS6U/snM0HhS9lNAbbQhCQoGaUKDzyU4R6Is9P64VaKPLwh0Lbwxql3iOamX0UkJvtCEICQVqEtTtlY9UaosCHUs0EKjZvy7zLVB3BbQYV8rxSqSYOS/eAAAgAElEQVTVn2Vv6A0fgpBsqVGH84oOggKdz0kCrcPppbVdeCT7Ms3Mhp9YC7/6w+zM0Bt79m7enujVhReDu6yvUScQiw6CXfj5nLSf8mCLktqdiVR2A/C34Z/qoJRkwZ2uzECgZy98mkn06pLadIQzs7pGnfE3JzqIThKcBzrP5lCBDr6v3YXPIm83Bx1Vzq6U7D+6Y2P6Da+zty6Zy7nVRfWJkpoQe2rW1qhTrnpEB8F5oPM5ayXSQKB2PxHZG9SeiTQsaF0pOX/n5Jn0Gl6tP69+F6dWF90nunroZPo9RffGjQJ1KdrNRCjQEZuTlNlvg9pt7Oq68vuB5lk2KmltKVl1docX3eqPPXoa8z56Da/On08kUOVHuligM+8pujduFKhL2QqUE+lHbE4SaD9lWRdmO9BaxuHHJW1JoLMFst0ldPXnHjyNTQ/fKVVBkxOri/YzDcvRuRTm3lN0b9woUJe63Q+UGyoPc1YLtJfK7idiGqC120kkWyVQud+oXGbd5dLVH7z3NC53CtRlUI7OxTD7pqJ740aBuvBYYw2bo6UZfFnZ3rvdS7l2e4EuCbQzqNzgMhrTmThobkvRbd/I/T51669eoCdzeCqBPucoPKcxzeasI5GqYCaT2RS0bg/zcBdAb8ERHe6dBAJt25W3wJsyqhOMzo8FuqnwTgs02iTIGAId3HTptYznEuhTzgMNKvbKRyq1RYEO/Wmud7bf2GufdlPQdip9O9Y+MQovBs3kOGPxZ9794+84EOi2mj4j0FiTICMIdHgbBSrhSiQTCnQ2J51qbJQZtPtfysK0QQu7FN7uZ9fJT95JOJHeV6dMzOnOlzea7DVbhwLdWNXnBBppEuT1o/CjWw8QqP7+zybQ4xMdBLvwszntWPiqDC+CugM5zVSm0o0i2bWduRuQd3XonXtDQW3KWoH68+XzrJ1h74V5rkDj5PJ5oGNs+wW65gFzT3+JNx68TQrUJKjYKx+p1BaOQN+uzPsfzhHohw8ff/zRftX88+NPP31s/mPy8eNPP/zw/v37H3549+7de5t3b9+5mPcTfClfmzs3/zOPlkd0934vtwQPaJ9AG3nQfTW+9DJBZ4ytV462UF33iC2/s4Py6KXX16hnTFCxVz5SqS0cga7923LasfDhavjKNjwrN5TkWoxdczL3o0TvguWd/Sua7oB533QNW6DDeaAbW6DT80AvTP8dX97eeNAC3XBlee0vYvqeF4B4+DbZAjVhF342px0L/9KauaoqsxF95c6XK1qBBjFF+H2rRinR8qVfASpb4fVmM/VWIm0W6Gglkv4xB2TwluEEun40bfsvIsz5IB6/TwrUhAKdz2kCbbcDrcwVUTeTyRwqV0wLNH+f9wx6C3dFcu70Q/gLJf5xtT2uubFfEP0nmpiOcFEeCnT13woK9NBQoNdlNZvTjjW2ZxiHPrVHHFf2UCQ51iP3I+xGku/znkHNe2sFmrfN1mLJn4+tdlxtOcIQ/ScaTYi9LKPPslcbTyTQ+zF/JVem/5aiCzSoxysfqdRWwgI97xpoOxG082jTkXcL4suyW4TpJfo+7xnUvjkv0HCw/UG9VPlzfA934wp8xyhi8pkiVJfhJ6FAJff7IX8lV2bwnqILlC3Q+ZzThW/kaWYutQatvFXLorKndDat0FvbeZ8XqBdbFvhzRpGqYj5bX/yNv1qBLq5E2vx8e+EcBmL2nTz8LWZeoNcadPimKNDrsprNWRPpK7kGav5pTdo0PV8qf7RxuMbdCXR2E+PArdOfQldd5+qL3Hj/1Qp0kP1X/o5gcxSIhffyyJ+tQK80KF6JCGr2ykcqtZWuQM+axtR24Kuydscc+2/sYJJfzimlxAvUyjSfLK46fz4q5jPWa29cMZGeAn2QA9AcBGLxF7X8O6RAXSjQ2Zw2D9T4s3IjRy/uS+tVe220dLORulpmBeqKzIwmHzQUdDbr7tZ7lbgCxeuwgYw9HwTiwW9q8VdIgbqwCz+bszYTsR13MxDvGp+VX9lZudmgsqFI8D7MRPrlsrzUUFgp0H47d4tAjxuFxxsy+FUJ9MFjKVATCnQ2Z21n92IF6tfDm5mgbk5TZafV+/mc/Tfybns5DUvcYwsHp3UMHr5qLbyfXrXpDU+9rfa76NWFAu0eS4GaBJV65SOV2qJAJ1LVRS2j78Gsej8RtBiWyXfbi2k2yuI9h7OhtglUrstue8sLiV5dKNDuwReOwk8USP+T6CWCO9LP5zR/vlRFKRc+69qas7L/FxwsF76RHaWkqyIPD9Ls3WnYBJ0ZhZ9+wh3VcjnRqwsF2uW6eaATf9LlR9FLBLvwGjZHp24nMpW2JWrnf9p96eVo417BnCklqvI78mfwkPETjKuU/653rPFwjGnmJR+/u7U1MHp1eS6B7vtLd9lKpP677L/fdSBOMH5Qq1c+UqmthAV65qFyrZxr1/h0AjWrONuTjbs3Ml1K2lK1XCyyUUZPMHnn3k2tN3o/nKl/aoGurr0UqM8F80Af5ioSi8VpFYg9n3YubIHO55JjjauX2u5oZw/lzIs8OBq+fSO9Iz1G9npULNxPx/fM2uNBBvedej6Pr/fTuTtrBTp/r7nHUqA+569EepzkBKr8s74unSR4LvwwJ47Ch6n9kXJyMnzhp823B3SODpXLbuN5R4vFIhsPD7X+nDHo6Lfd+2mWjb6beI5lNc7f7ZDqclKeTKA7kppAtX/X16XrphYrH6nUVsICPe8aaC9Gm16gdmtP2UYkby9cSilpnZd1xWGwS9Nksk6Wk+d2Du878VwHCTS8efZu8+V8WF2Org2KUKASCtSEo/CzyS4SqJ1Lb/zpNNrtBtrK0ZyJZB3YaXCNQP0d3d7LRduDz7sXGt174rfdPdMjgc4bsPeDDf4dVJfjq8PjUKASCtSEAp1NdpU/TRp1OsOZK6F5uze968+/86fABzuFtgk2Up77HCJQd4VA2ptzAp37bQdP9Uigc2bTPVwt0DPqw8Ps08ZRb/fXJNDF33N0gQZ1eOUjldpKWKCXtUBtGzQvfE++FFG6gfm8XcoZbFbfFoXcHyYfFotBGWkfbAXa9tgDgS7sRdL9trunap9/vkAu3HqYQM+pEI+ySxuHvV0kgZ7/G1jARoFel7VoLhSo2VmkzN1YkunEW0+6b43e3uWtQNuz427tTUMFDgtJZ1p5sLt9INDlUjU1Cr9aCDr/Pq9Aj3u/QAK94lcw/wrRR+Ep0NmcuRZ+ZFAj0FJiDzoqy1p2Z5oUaDCMLre4t531v58VaDYQ6GK5mpwHurb1MVTedHl+WoGufcML98QRaIzfQRDOA70uq9lc50+7u4g4sy7sdPq6br9573vprUAz3wfOZcC+u47ZTU7qt0jHAu3tZv+oZE2vRFqZkUGmn2y+Tv6qBLp0VxiBzn2mq34tXIl0XVazubQLb2eB+gM6czPi4/xpZ9e3p3Lm7eHF5v3JELz9qbzp4JCk9iYR6PQPHp+mdDtqxEApkNk7XS7Q8bNfJtDF+6IL9LI/bNFBsAU6n8v8aZYjNaq0JyWZznyRZb4x6rr071tv5kXozyxoPsqbDnr17Qexd3DPYTXa+8HUIvmp3/ZqfFNRVqy5O109Cj/x/FcJdPnO0b1xWxTo+b8ZSXQQnMY0n+sEava3y80GTWZXEXPdM3MtUDOO1Pj0fdDybMtllrVXO8ObigmBSlPT+3OysXCNQHd2onbMA93ywlNgKFDJvEBXfdB9iQ6CLdD5XCjQl7pRW135rnyZZ25Ok/n/Rq3v/WD71OSkYATe3tI2NItiKI3Wn9OthUsEui/bVyJtqc8tl2D91mWj8BSoKtFBUKDzuVKgZj87f6iHGU6ylyzNZqGVmRb6PncGDcuo9Ol7XfrMXyYtisn59dMj7o8Le7Z2Q+WzoqsuEx9mU4Xu/Bn80blqHmgiAp0k+2sSKDcTmc+F+jQ7K5e2/Vmba6CFnffeE+iw/elvcrs3uZt8bZcFTeVoX7yZgv2orJtXer1HmqfSi6q6zH/ClTW682cwUfaqlUipCPQ43JsSHURQi1c+UqmtdAV65VJOe0Rn5bvwtZFmXsgQUiEC7dpB2cQU0K69VHp/+nVMwxmh44L92J/F58/HnHG0L5rqclyTqPNn8JcIYgFjfG/cllYiUaCaKLVFgapiDzWu3K4ibjWnW7luZOinMXW1uK3X4aymtroX7ap6t47psUAX417n8+cCwKCmujx4+5OfMUWBgs4D7d7TAonL/EmBXpi1aC4V6Itvhbpd7czkz7JoYwVadIWyVWW4Dr6r7W7Nu2+9jtckrSvZ/nUagRaaTUfOzdvH1xsOFGiHNHjsdoFue/npH0XzhpLEVf6kQC/MWjRXC/TFrkdy/nRj8DLx6H3oT5nKlBddH10EmuftXKWiFWjgvQ0a8RdVnUBjG/Tt0icI2BwkUGEaPnazQLc5ZeYxsbwRYlwkcZE/jz3bZMsDKdDZRBDoiz2Xs/lvbUaQ/Iwk24UPFCB721lHBj/oLooag04KdEMtxhLoggmzUcIfSkd85Qtmo5VaWwW63eBTj4kk0B5ciJltx56ut+GRFKiKzWVx7U/TEq3MaPxQoG6CfNZeApWBdncKiCyUtwJ180j7E+pn/9Lmw/t1D7hCoNrSuyDQ9s/IgkC3XYPoP99GbbS/vC3zAMaPoUB9Dj7fef1DKdDZxGiB1tZ6djTeHhRvuvS53Q80b6ug2Y5eWpq+f+kFK9/nVqCF3/5TUSp8y3WSQtYKdNuf6Fm8XYEdlN75ojwv0O72qa1RWnttfKcBne0CzVdLfP7PBQXqcwiIec6PQ4HOJo8gUGtQOyLvvjUT64vsnZVluM9SbxJT28tsL9f50z1Hy5fmPqmkvaVnNy/QbX+h5xIU2EHpXSjKGoFO+3NzBTEJm46bBTqGrHgQBfogFOh1WYsmikDNIcdmSfyLOzre9uOLH4puL7pc9gbN/VZ2Wdfo6sY78mD0+PEHzdvn97cMhGYFeoo/2+kDszrtRSXQcQt2p0B7D94q0OAv3voXpkDnQoFel7VoIgnUTKf3/rTTmoqi/ugE1+4F2nk06w8vtduD+tEPXX2V4+ZagQ6Kk3mq1/s5/hyNmy8W5vlR+MWH7RNo/9GHCVTxduAEqh+FvyoU6HVZiyaSQM2lT/+1XRpf1I1Ay1IONMqCnrz0CAODhiMVwUL5rnBMFJN2vqkT78Q4TJa/vh46C3SzQOc6+OgC7S6ThL+HB+/nLIFuJXHrvW0K1CSouisfqdRWugKNMYhkpNn04tuvS7tN6IfKHppUF+1IUtarj0EBaBunt7C5MPJT73N2M/bl8sCgPGVmM5HjR5D6b274puemPz6S5NKrbZnJdJBAuz97Dy9UTLz08Ae7vLHVFd2D7VfPI1COwquyh82VMfuJ+C/tXM7KXRM16zzbZmd7nJz7rWcTmRyYniopgUALr5n+SLb54h6tCx++3aXqslQFhIPyovD8e90zD3Tyb5vOoKPb93hjhy16eSKBch6oJnvYxEthbGqFWpldl/11zcweetxfhjSUUVtjOx8GA1Ddx8xag5ZZ+/OgRGWtQI8zaHAZd1Cjh2rpFe256jKjo8GztNeN132UYwS6/CmXHzW+ed4bD59T/dKP8kwC3X5VI6iqKx+p1BYFuj6uwem/qV9ePvib7S5NtgPvZnkGmhu6qJvqNBLocCw4aw3azYa6RqCD/mz7dsb+9N/NbKg844PB8wwme614s+F70JWjqfcz+bHWMvUPmfXG4yelQA9NUG1XPlKpLQp0Q2o7EC9j8fUHL1O/uNNNbW8XwocX9oLa0Z252RdofyzDP8b133vToVrLjgW6u/ZlA433nnBBNNNHeswIYXhzgGXlBwifJ9hGWPeAwa2jd65/G8ETP2yKP3wKCvSYBLV25SOV2qJAN6SWfrtth4pAbR8+80uDCtmsrtegCvTZ3zHUpZAd8II5S1NXUNsrBW3jNhTo7urXimx6ZH9eNJOHys0cKzoShdw77658rHrD7svwIIvFuy++wkaLtQ+a8YbmaTe+9DgUqElQa1c+UqmtdAUaZxTepi5L14+3O9QHAm2ceev2nG8viXYu6mtw4M+8kK2a+ms8pT51Dyvah40Fur/+6evw4J6TxxoPx7zmXiSAsuP9m3L04N2v0tjDFxx9ApN3B7zyr0GgB3zMBwlq7cpHKrWVrkDjzAO1qcqy8kfMNf8WnUDtiZ15O2je9tFHBr21svCTOzPfrgweOeg1+3/70rVt3CwchT+gAgYiU9yzezG7KcDoZzMCHZnyMIE+IqAitMqfI/RzAg3H5oLHT7+9h6+9nAQEeswHXUxQa1c+UqktCnR1jDkLd76HuRZaFT+5Lr0978O0Dv1GdV6gmd/8MzTooJtsv2nP6/S73E3NiZSHSDXMZaloNw/0GIGKph/fs3uxzAp02G6eEWg3TNW/CBr8cVh4yfl3dJRAlY2j3jM9FGjwx6//+KnnfPjaD7JfoAe8jUWBHvWnYikU6GzitUBNX/3F+7MxaPFDWdfen4U98si3IYvQn2XRG1nvayVrN7uzAm3r2fhD53JhVQacrHWMQNunPkCg7dWFx3cN/OkEOnwjkwLttaTDJ5tprw5fcPYNHSbQ5XSfuf9bXBRoN244PaVh8OQ7s1ugR9hNMTP4XINSoLOJ2wItSu/Pqig/1v7AzrIIzvqwDTgjxtIdP9fc4t95vxvub+ukVRQjtbTpXTkNnqTDJ9LaujmcRdu9xqO7isbtY973P1Fr0Al/Tkw38Dfr5Ne7IbiDTqCzf6CUkadfJdDuM+dDRGcoZO/hJoe8NQr0uqxFE20QydjStDTFn+UPZVH6IzrdUXN5O20zt6at3T6ihe/E53l3h86f7UXTIhwiGn5o79hlgSqbj/Nohy2l/k/dO5N/Apm/H3fJp2tJ1r3L6Z9pG4+jOysEetNeoJjN8JPJS7XfTHpj/JvBFKh7Q9M7X68NBXpd9rC53KCNwrLa+bMqfzKnFHt9mq66G0e36y5zs9TTde5FoK0/wz3ks27Punbf5amC1bZSg468SYBvsm23Lv11jaMf9rzhq5t1+vtxlzwLXDt8jkCgI4POvbF+nRvXQM0ofC6jdEoc8+9iaBn5elag/b4BpEDlo03PPlsZCvS67GFzqT7tuXKNJ0vbuHypmi68aYC6ve1kBMhfnGxusA/qBJqFQ+3tZ8nbVmlQJ8cGkwaoWejUu14Y4gteXx62spAuFe1B/WoHs8xbfz9otc6+7oSCtryxiff5eB6o/wM2bl+r38bEu++1iGe8MX63pypkx+Em/ld6wHujQK/LHjZXxnbIa2vM2o3DfzCbMVVWkrYr3y1pb+7mpzjZ3e68QLtZTkED1Bu0bBeAZhOtUD8L1D84kG3Yhe+2MZnr5z7KQtHuqle4NVQgUO2V0yx4+AZ1LQp0uRE7/gMTPve6dzHz7ilQH47CX5c9bC5N5cePXmRr0B9f7HSmSjryzin28Ln6xS/zrMSXmaz0bMfls2AIviyLoASPLkP2ev/hdf4WXyA3UVlQIR4QHZupf/NtQaC5E2ihW8nefsh1ChkYZ0JAj8pRC3aIdsX7CF92+kHT3hi/xKMX3aMXfIEeNWFrKUG9XflIpbYo0NVxk5cqcyxSFd5uu/CyBt52s+vgQXW7dD33/ixtnz4YFrJ2lDI1NZBjW3qm8Suaakug4BObdVdI+9cbF4GO1TS8eUmg9hpou+PJo19eNorqd96/98Sjtwp0zRvp3XfyIctLORdvWb7/9F0mf7JToFOTJ9aHK5Guy1o0EZdyWofWVTW4saxlClNjSDP7s+ruXwcT6b0/S7vFvOizyMNzkIfn0vmH5t1xyFJ9nRc9vlZuQTc1uG25tPYMMmGp8LspgWb5D+31C6VBNVOOFjrawaeTm3YIVIGo/ybm77q4mciDW1a8zKJi9wp06hLS6nAt/HVZiybiUs6Xl3IsUDvWbtxWuhOLi7K9h9lsuew6wXnrT0nhDBqOIQU/CjTlxvtrv9forS3voUAHq+Xz7skW68OMywY3DwXajSI1//d+aQLBmhcd/Hh0U//n4SdTCHRylsK6uQuPxHbVSRZLd9g5Cp9NnP63PhTodVmLJqZAq/BoJLmtMmvkTdszd8cW1yJQc3W0dyZxMfCnqHPcZnSNUlexC9/+LN2M/bztQDa5hwLNcpkpqhZoNjueM6zG7Uv0qpk7Z/R9twTgYVN3+PSzd1x8ssCf7l4agfY2J5Dbu1b78hOMP8JE1njj8ad/3ESdusferaU3ProfCvS6rEUDJlB7TdQ0EF1r0gq09lvVV+HudLdgImJg0DzvOaybsNSK1k3Qt/Pyu4VOItC7e+b2wV1bViPQnoeWBTq4eikPtmP/7zUt3UEF1fhz0aD99/2wHLVw+88Z/DF78ASarPDG/AeMJdAjr0xSoNdlLZqoXXjTuqzDGyr7vbsIWtr/FHXpNhlphDeolr2Bnq7pE45JZ93MJjGsXF11g1XB9VIv0CwL5uD3nmpi545b//2IVNwX4d3GldR/Pbypefg7jUBnnm5wh+mXnrjT4F7T5Wj0eqNnXNkCfRC9NxYMuKjHx/dIYDemCxJU0ZWPVGqLAl0fM+ezPQpJ4hbDl24qkrOo7W4bfxaDZk1b7MNN77LwBzKo0TVAO4HaUSS/26jcvxFo5saYOjEHzxV8P0EyawXqW6vh/fqVdMFmuVkL3wp09tf2UAuDF5u+a3CzQqD9J5l5wjz4PeyN2htLNCjQAxLU0JWPVGorXYHGWwv/Ek5PkuucfsF77raid/OZ7A3hNiLte/fOKjpFDqcMZTI9vZvnJAJtt7zr+vx2P1Dfz28bt8FzLfmzPzA0uufInzOzf3K7Fn5OQjO+m30z4QXe8V0n3pP/bqocPfLQrcWtHIV/mEME+vh9Lz5aXaMeodkTCvS6rEUTtQsvMVsrVz9af1ZuGbwfHrJj5YXT3FzdcBdB5Xpm8IPeXYKJooXsdtdtNeptd3/trprmfhn+eDXnYNy590r+EWHLdfTQUXX1j5NHv5fpp9Of91Gz8jb48eRduxf0P+jfa6IcPXjFFXdS5xiBPh7OWXqwtkYd96knQoFel7VoAARauZ77x8pe7qxco7Ao/HB5Y7I5n3TD3s61oyaqv4uYqYtd7CnN0a4Jalqgwb3kccNrmeNnD18oC9q04YMn3ReIrH29djemmRdrfzR/sbF3sWHCD+ELDt+W+flWgaqaqeocJNDHjcOFxypr1KGfexQK9LqsRQMgUHcoZ/2T2/BTetWF20LZHKPZLrqcihOJnTO6UH6zQd+6FalruHqVfJkQaDYyYO9pu852cIm0350fPaarbf5OWe/f9+30/v4rTjzQZOrTBu//NuGH9t2FnzC8l1agYyRHeuQogY7uqrzVZMUBz7s/+ezjKdDrshZNEU2bQSozdekntw2TW4ZjG6HdvqB+SvvUBwiGiZbKb5bJUnkp51mweai/bUagvls+riC9MZNw6Kd91MT7zgaRV2pf8H34HMEr9mrp0nDNaMLVlPbCafzBNQh3j243pqm3Pbxt/PHmfgvrcsgo/OQd9e/hQoHOPwEFemh+edPk9zM/XIumnrXahbG70/9UulM73B5zmeuUu9lMhQwSTXwA8efj3SmHo+hZMD3U/7YnBZqLCUcFPJy1k4Uzyzt/FqNWYqDO9m7eoO7md4O7ZaMHmlsGjuy/QPAJpkBMCzRIsB9o70F9ggdIYzGHzAOdupvuHds7XifQhWegQI/Mt29sfvfXyZ+uRQMh0BfTh//ojz1y+y25b9xV0cpNDDUSy0bXBnMRqD8EafaTjgvoaNbily+dBjt/yiuMDTqUbfdc/rt2dlX/ffhHDAQqbdy3/bc7I9DwisH4g843T4Mnyif+JgiIES5ZmNU96AhrLOaQlUijO2nfsbvf/SqBLj0FBXpgvn/z5o9fvvztD2/+7T+nfrwWDY5AfwqakaZ2F2Xpl3F6g+btEfHS7mpV0U5Jmm+CThTQkWecN4KWWaeiYJvm7jnb/e+7B8izZe180pHIsuAokqzXqnNPrxTo8Oftl8Hbnr1sLIRnri3bvyS9p8+yduVX793us8ZyAm8c8ypr3rG/n1+cduATb3gKCvS4/P1r409r0D9N/XwtGhSBvhQ/2YEg3/zLzFL3dp+Ryh/mUUiv2PXnO1PIyqLZRlcg216vtNfRbWpL2PXNsqDV1Qk06DUXfedn4bBR5of6JwTqH5b1H9PeZ06g/UbhhOH8160dy2JyvEeG0wq3kGCK10igWRZeMh4t05oBvnNCaOeNnXIaPM34qcY3yf26g1p1z6y646r3dqNAj8wv0nf/dvoy6Fo0EINIJk0LtN0axK08L7t18n6LpqJbSWSc1uonNys+3R2WBCo2C27qS+L+mod1Ppg72gk0kF3WvRn/NEHz2LVAwwVS3bPKJ+geFdabWYH2PDJhuExeOZPXGMk3ALF01Xgo0O7DqQWazUxCWJHWG2o9PcicpCZuk/spBbryIuyK92ZCgR6Xb6Xr/v30VdC1aGAE+vJTd8XQt0A7gVZ+jzu/E4iMzUu1lp2ZlqYyBQIIbusr6PW1V+czUVEg0FZ7rSKDxuSgg9s5aunCaZYNjm16O/Hmwjc88+a7b7PO0b2PYn8qH6rs7D6GtV+gIY3Zwvcg4o0lt6zKzBPNks70Al15EVb93mwo0MPyjz9Lw/OXN//6l4k7rEWDI9CX4Ch3a6qy9tcXat+H9wuEgslNvl63Q/ZLLdCg+nc39hSUO4HmWSglaUcWcgU2VFF7snLvEkErl6B52r2RwEPTDZK34zc3/YmCn/erX9fGzYd+lVn74bl946dWCXShxj+eCaDJ4QKdFtjk08staoGuevlFg45/RIEelkagf3Rf/e0PrUDfBFn7hJ+juHIqP77eP782ubu8vn7++PHDjz9++PFD8+/H/7+9c+GO2yjDsClsMTYFyrpasG4AAA4/SURBVCU0sBQMhro+OSGHOOEkXrtpi///X0KXb66a0cqj8Xpm53l6erLWSquZ15+e1WUk//dj/2b3/8ePHz587LjtJ8ic/czjxH5SpKe3CnuO4QPUKzPDnX5vaMjQrmF1unndLHdmEesDZKHxn6FNehVeO/rF7rw3HWbfdN+/M/Q/3UoYqrPmXR2vvN/PEv9wtYI7q6+mkw/WHNOlvTRX4HYux0ft//iM61z6odlXlw9rM32aFRxMoOoa0nEK1FTX4K0PnUDfvevt2TlTbY9Tgd7dOtt2rKd38xv0dJPXzrkdxX5r+Ufrw1rn8IPvqVvfn65Ac+FumpbskgXqbM+6M8OX1a21osVpZutchs9a8vFP4M99HSnWn0cq0OBl+MfunJdzCP9WHQjLBZrhsHx48PEbdfpxHJsuF+StqzD20MdoT51LPKG3w4fw13o5Z1pwHOTkSDl0IXoy+tQn5YDNP+K2DrbDDTNDrMKH8N+4Z/V0EOYj9rWnxEP4IJGPl0P4nI+zS+0Ih/DZCO6B2jw2muf8o3Iu71z39dvem/HR8a+tv1z8yv6D7tb1HO25eE/nq3dGoNPr4NZaY2/HVzYZDeCRtLk4q1sgUHVja+wqfPjzx6+fBQbIKtBsV+HDxH5Xw5SszwNFoDGe9xyozaOzeb4Hgt44z1K++bffsOvhKswb7U89tFCPKLKVsb8w98xzHb4K7y3giSry9vzK9qg+bXNxVje5RcA0x3JpvBmxh4k8qjlr/Zl/HGiEud9V3gcqJ34TPLtAjUEfu+BCrz3LVfgsw5gOY1D9lztuxpuLbv7zfvhzHa9fK4e+v55UiWzkgf0C52ZCM3lfYe6ZZzIONLiAJ6rg2/tWNt/UxM3F+dDQTQPyvnF8XOMZtHGdcRzoo/X9SGZ+V5mfSJ/2TfD8AlUGffRyC732LONAg/dyJmTzNAZ986bbVXx/M/4xze6//p72m+HJIGpE56tX/XibYbDnzfvrQJU8ykBLCnPPPMOdSM4coQWWbgHJ23ymv+brffeY5ixoWA5tXGe8E+mpiUeS+096JFVFAQL95u3bFH+WJ9DcdyKNnUxZKjcFVAlBCAShKCKJioNYqLV674VfkU1mCqgSghAIQlFEEhUHsVBr9T6NaUU2mSmgSghCIAhFEUlUHMRCq9X7PNAV2WSmgCohCIEgFEUkUXEQC6VW7xPpV2STmQKqhCAEglAUkUTFQSx0Wr1/E2lFNpkpoEoIQiAIRRFJVBzEQm0h0PUUUCUEIRCEoogkKg5iobYQ6HoKqBKCEAhCUUQSFQexUFsIdD0FVAlBCAShKCKJioNYqC0Eup4CqoQgBIJQFJFExUEs1BYCXU8BVUIQAkEoikii4iAWaguBrqeAKiEIgSAURSRRcRALtYVA11NAlRCEQBCKIpKoOIiF2kKg6ymgSghCIAhFEUlUHMRCbSHQ9RRQJQQhEISiiCQqDmKhthDoegqoEoIQCEJRRBIVB7FQWwh0PQVUCUEIBKEoIomKg1ioLQS6ngKqhCAEglAUkUTFQSzUFgJdTwFVQhACQSiKSKLiIBZqC4Gup4AqIQiBIBRFJFFxEAu1hUDXU0CVEIRAEIoikqg4iIXaQqDrKaBKCEIgCEURSVQcxEJtIdD1FFAlBCEQhKKIJCoOYqG2EOh6CqgSghAIQlFEEhUHsVBbCHQ9BVQJQQgEoSgiiYqDWKgtBLqeAqqEIASCUBSRRMVBLNQWAl1PAVVCEAJBKIpIouIgFmoLga6ngCohCIEgFEUkUXEQC7WFQNdTQJUQhEAQiiKSqDiIhdpCoOspoEoIQiAIRRFJVBzEQm0h0PUUUCUEIRCEoogkKg5iobbKEWgK5+fP3YJCIAiBIBQkITxtEAj0KCAIgSAUJCEg0DgUiUAQAkEoSEJAoHEoEoEgBIJQkISAQONQJAJBCAShIAkBgcahSASCEAhCQRICAo1DkQgEIRCEgiQEBBqHIhEIQiAIBUkICDQORSIQhEAQCpIQEGgcikQgCIEgFCQhINA4FIlAEAJBKEhCQKBxKBKBIASCUJCEgEABAIoEgQIAJIJAAQASQaAAAIkgUACARBAoAEAiCBQAIBEECgCQCAIFAEikOoHen3f8ZsnEI+dq2uf//fV85NffPlOjDk+kz81VhM7BjaK9krg//8q8fHpX1CbQi7EcvvjH3onHzQ8vxz7/8m+Bie1sLbE+t1cREYE2VxJdh5VAD+KKygTa7XZ18Xx64dRDcOJx020uvTq9Pn960U4CimCfG6wIzZXzpdpaSfRfGCLQw7iiLoGqr5cugD/PTzxy7mUrcft839RB60iozy1WhKLr81fWj42VRNd7JdADuaIugd6rXe8Lqy6CE4+cC/kG7fZErT5fOdtOG4T63GJFKC7cfau2SqI7Pv/Vn6THB3JFXQLV1XFlncQITjxy9O/fKYQL54xoG4T63GJFCPfn7q5VUyXR7313uxSjQA/kiqoEava37s2JnuDEVrBOmfc/fPH3l41dfA71ueGK6Lru7IC2VRKf/vjtgxLooVxRm0BFF59e2KFMJ7aCUwfDCaDGLj6H+txwRfg7oO2VhCXQg7iiKoGa/S2r/8GJjdD13drhuJfBKhcNXXwO9bnhivB/9e2VhHLkoVxRrUD1N21wYht0Xbf3LNR5na6Gmskh1Od2K2LS3/ZKIiTQp3RFtQJlD7TvebjDDV58tvvcbkXEL400UxLsgc7AOVCbfsxw+Fv0qpkDNoPV52Yrwh3U5tBMSXAOdAb7Ipr+qg1ObIDuICRWA81sLRauQJusiP4rNXZc2kxJhK7CP6UrqhKoPYzL1ENw4tEz48+2ghCoiFkrNJNEaBzoU1ZGXQLlTiRF509/YzHHJxfN3H4S7nOTFfEQsEKDJaG7zJ1IAbgXXvCuv4+o7eeHl+2c+Qv2ucWK6Jlaob2S0ALlXvgQPI1p5Cp0/N4l0G9AM5cSjo9wnxusiAd7f1PTXkmYEHgaUwj7cX76vrXmnv6on/I43qWngrg3k5rB6XO7FdFjX0NqtiSsb5GDuKI2gdoPlDY3/rb2/HF9h54rUHmqblOHrU6f262InpBAmysJezf8EK6oTqAAAKWAQAEAEkGgAACJIFAAgEQQKABAIggUACARBAoAkAgCBQBIBIECACSCQAEAEkGgAACJIFDIweWJ4bOvo7N99/nJxp/2/e+85UdOA4t//4uTn/4rX6OjuK2ZW+XQ+Icfv5zrNBwxCBRy4CrnJ3+IzBYQ6HZQZckCPZlKXzE2HoG2CwKFHPjKOQvPNhXo7qQCgQYb86Abj0DbBYFCDi4tyWzj+6BRgQqdIedMdECBmkbt4mcldlG1QiMgUMiBo5xOkxHR1SjQfq0RTyLQ5kGgkANXObvYQXyVAu1/3ATnQ6DNg0AhB55ytkY5O/uc6CDQfo9O3t55p0wnAt35bw8CHc85XnqXyHehn9Wy46KX+uzCpXum1l2P15ud6c3WukhmGm+dA3U/CI4dBAo5mCpnNEp/ND+gf9zIpEFCewQ6qNYs7Qj0L5+7y37n/ewt2y/6zy/VJSH15sZbVtYT+zowF5f6ZgQE6jcYjh0ECjnwlNOJZBCkNpMopfv5Z8ox/QzzAtU6si0oAjWMu4NmXv/ncdl+0d+qOX6vlx9W7LfS603/9qlM1pyGBDppMBw7CBRy4Am0N9zZ+I/e09w8iKrU3ls/YfYc6PbEjHHayNuWQM/krVM179mosE1o2cFt/WePkutf9Y3ZPARa6fbm0nLwOLl/MbTDH8Y0aTAcOwgUchAW6E6fk5RdUuWs4ZWSVkygahbzyhaoOdremM+3V+Quq6U3aFK/Epm7rZyOAz2T2Te6ZcPqPYFOGwzHDgKFHIQFujUaGV1jiWU7LjEjUOvit3y8LVBZqvtEkeBGz3oWWLYX6Jlah7RB1jZp5d7bAlQzPYFOGwzHDgKFHAQFao86Ggcwie56RHkzAt0ac8nwJ0ugynnyiZee5SbLmk/2X01b6QnU1+dwAiEk0GmD4dhBoJCDqUA7w1nXVE7G42bLK/IyLlDLkkqTcYFu3UPm6bKzAvVaaXpz6flzp2cLCDTQYDh2ECjkIHgV3rq6HRSoHHvHBapfizkfI1Bv2bhAp620emNO2j44V+sjAvUbDMcOAoUcTMeBjrr0LFLiHmhgZ9Hqze5Ev1a7qp99HT4Hyh5ogyBQyEFw6Pn0xszUc6C7k/RzoLuTvedA/UGbdm/MUfzlif8R8XOgO8YxtQEChRxM7oXvBSfX4i3U+J8HbZtlV+G3k6vwnkCdIUabwLJxgU5b6fRGD5myVroLX0SaNhiOHQQKOZg8jWkjU617xE/tU4q+g0aWjwP1BGrm3Xrjpcw40IhAp60M98astD+WZxwo9CBQyIGlnGGUj3U/5bB3tz3RA+n1QKH+X2sUuywQuRNpmCkuUHUnUv/v5KYgOX0aE+ikld7+9KX30cMgJ3UXgPVwk0CD4dhBoJADb+i5dayr6c1i3wtvP23k8ffC+wK15j0NLTsj0EkrPYGqg3h7NvtWf+6FbxgECjlwBeochttmsp7GJPOMt7UrXS1/GpMvUDPvaXDZOYH6rfQviamD+K2a6+dy2lQ1nqcxNQsChRzYAnUPXsd3NuMP5nmgzkUafe1l+fNAJwKVea3F/eeBxgXqtXJyI6Y6iB9Fe2quWUnjeR5osyBQAIBEECgAQCIIFAAgEQQKAJAIAgUASASBAgAkgkABABJBoAAAiSBQAIBEECgAQCIIFAAgEQQKAJAIAgUASASBAgAkgkABABJBoAAAiSBQAIBEECgAQCIIFAAgEQQKAJAIAgUASASBAgAkgkABABJBoAAAiSBQAIBEECgAQCIIFAAgEQQKAJDI/wER4WiQlmQJ3AAAAABJRU5ErkJggg==" title alt width="672" /></p>
+<p>Borrowers who have debt to income ratio lower than 1 attract most investors (risk averse). However, there’re investors who accept very high debt to income ratio of 10.01 (which is larger than 1000 percent). Also this relationship is not linear, which explains why our correlation coefficient is very poor (0.00176)</p>
+<p><strong>Lender Yield on Investor count</strong></p>
+<p><img 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" title alt width="672" /></p>
+<p>Investors don’t prefer very high lender yield because high lender yield means high borrower rate, means high risk. That’s why we can see the number of investors go down when lender yield increase. Most preferred rate is around 10%</p>
+<p><img 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8K/EQiCoEgVAUCvOso++Tt+wswhAaAQBGVF4QPUzrKbg50s+Hy5DaCuafj4ukKa7dGFV7aHT7zsQ2+6kH+FD1CXHBHl3V0jUKfiexA12wOgyvbwiZd92C0XCqDQAWoni2xdZ3141zFQp+J7EDXbA6DK9vCJl33ILRcKotAByiJNqYNuANTKwqOMyfMDfegTADSAfcgtFwqi0AHqhkcCqLMO1HUuZ3wPomZ7AFTZHj7xsg+76UIBFDpAbTzanfar9AYzkVQ/0Ic+AUAD2IfddKEACh2gDjxetwrqadATc+FVP9CHPgFAA9iH3XShAAoboHbYyVH53J6dVsJqTIof6EOfAKAB7ENuulAQhQ3QthzSrlEjb8SkWA9U7QN96BMANIB9yE0XCqJIAWqssGydwIr0Sh/oQ58AoAHsQ266UBBhTyTt9gCosj184mWvv41CkgBQ7fYAqLI9fOJlr7+NQpIAUO32AKiyPXziZa+/jUKSAFDt9gCosj184mWvv41CkgBQ7fYAqLI9fOJlr7+NQpIAUO32AKiyPXziZa+/jUKSAFDt9gCosj184mWvv41CkgBQ7fYAqLI9fOJlr7+NQpIAUO32AKiyPXziZa+/jUKSAFDt9gCosj184mWvv41CkgBQ7fYAqLI9fOJlr7+NQpKSA9CbHZLPeCvt9vYH4BP5A/CJbK+/jUKSkgPQ+P4l12yPCFTZHj7xstffRiFJAKh2ewBU2R4+8bLX30YhSQCodnsAVNkePvGy199GIUkAqHZ7AFTZHj7xstffRiFJAKh2ewBU2R4+8bLX30YhSQCodnsAVNkePvGy199GIUkAqHZ7AFTZHj7xstffRiFJAKh2ewBU2R4+8bLX30YhSQCodnsAVNkePvGy199GIUkAqHZ7AFTZHj7xstffRiFJAKh2ewBU2R4+8bLX30YhSQCodnsAVNkePvGy199GIUkAqHZ7AFTZHj7xstffRiFJIQP0q9cWhH74AT/epffPmd9tP+pQfA+iZnsAVNkePvGyD7fpQoEUMkC/PN0G0Kvi4Nl39+SjTsX3IGq2B0CV7RPvkyWm2O4n3KYLBVLIAL17wgg9ua4vLJykcwKn7UeSwnuwEm4PgCrbJ9wnS6biuZ9wmy4USCEDdNfZQ2fh6El6Zcx8ufNIVngPVsLtAVBl+4T7xEAnANrHChmg1wUkhXbtvvtznUeywnuwEm4PgCrbJ9snFjjbCAqA9pVCBujVZ153HJid9evEzvYjWeE9WAm3B0CV7ZPtEwAUChmgX55+9renzUz7V6+ZoebuwjOvtx+5fDa8Byvh9gCosn2iffKChU0AtH8VLkDvnliwM+0MmSfN0xygjiPDfsGhUG8EgiLXqVOdb6C+U7gA3TXql3h33cwaCWS2Hxn2ACiUXgGgUMgANYc3Wbj5chtAF15uP3L5bHhdm4TbowuvbJ9wnyALD0U0lZMy7QoRqFPhPVgJtwdAle0T7hPUgUIRAfQ668MrjIE6Fd6DlXB7AFTZPvE+wUykfle0ALXy7s++237k8pHwHqyE2wOgyvbwiZd9NE0X8qUIAeqs/JSOZMX3IGq2B0CV7eETL/tomi7kS6EC1O6mX6U3mIkU7AN96JPUAlTuwwOgfaWws/AiuPzyNA1zYi58sA/0oU9SCtClpXmmJRTS969CL6Sn6NIc78RqTIE+0Ic+SSlABT0ZRWO5n1CbLhRMoa/GJGR00rEeaJAP9KFP0gnQpXmjEHR+Sck+5PsJt+lCgRR2EkksSW/10bEifYAP9KFP0glQK/J0hqAAaF8JeyJptwdAle2T7RM78ARA+1YAqHZ7AFTZPtk+AUAhAFS/PQCqbJ9wn6ALDwGg2u0BUGX7hPsESSQIANVuD4Aq2yfdJyhj6nsBoNrtAVBl+6T7BIX0fS8AVLs9AKpsn3ifEEAxlbOfBYBqtwdAle0T7hN7PVDHlHgAtK8EgGq3B0CV7RPuE5Of886FlQHQvhIAqt0eAFW2T5RPOhdeesFIIS0tVSqOrT0A0L5ScgB6s0PyGW+l3d7+AHwifyB2n7xgyjjN3j399A9+8IOn2Vv6Is51Xt/xgZDv56bTJ1BsSg5Aw/uXOeH2iECV7RPkE2sDORGILs3PP1FhkScFoVYiiZs4rt++ZxIi0CwKANVuD4Aq2yfHJ2bvnYg5P8/QWZl/Ynpqemm+wv5b6g5Qx2cB0CwKANVuD4Aq2yfHJzZAZ6n0szI7M/vEzMwse51fqsxWXAFqDZmKNwBoFgWAarcHQJXtE+MTjkACJ//DNDM9+wSDaaUyO99ifwHQfhUAqt0eAFW2T45PxJwjijxneD9+arryBKPo/NLMDOvGz87ycdH2LLydswdAsysAVLs9AKpsnxyfcIDSqiGzszS0yQA6/0Rldnp25tDU/PzsrAhLO8qYEIH2gQBQ7fYAqLJ9UnzCkCnGOfkIaIt34VknvjI9PXVoigWlM/N2sh0A7SsBoNrtAVBl+2T4hMNxdpby73wMlArnpw7NzrDwk2lqplKZdS+kRxY++wJAtdsDoMr2yfAJcZDiTiN9RC+VQ4dmnphl9KQIdHZ+ZlZMiO+4PupAsy8AVLs9AKpsnwifnOJrhVDRfGW+MjPLiDlfmWKh50xl+hB7na4sVaamK1QNOk+Gp5zXd07/BECzKABUuz0AqmyfCJ+c4gOcFar5nJmeYtDkPXdb00RTqqynXDwD6Kn2KfOh3w8AmiQBoNrtswPQK++/f6XtmCnU+0mCTwiIDKEVhs3pWQ7LToDSQCgNkFJRvejyR3k/AGiiBIBqt88KQBktGUAtZnJ8XjGOMwTQvWOVpdkZTk4i5WwnPGf4mZmZ2fmZmXlxfXeCAqBZVOgAvb7A9Jx4/9VrC0I//IAf7zq+Jym8Byvh9hkCKNnbAL10id6nG6DWoKVdlnSMBZ7TJjE7AGpGoAygM+y10gJA+0whA/TL04KYz7zuPDIAelUcPPuu60fDe7ASbp8RgBIoub1BUMKnFYKmFKBLklgX/tjUdBsr3TRFifopALT/FC5AWchJ6Lx7QiDz7gkj9ORiselJ+3uSwnuwEm6fVYCuGwFougFK76zSI/q697g96Dkz1QWgvIxp9tB0CwDtM4UL0F0j9GSUfJkfOvrrLBw96fiepPAerITbZwOgHJsOgK6vX2F9eApDL6UWoFbvvVIxzrEzpxzQ7BqBHppiMej0oZkWANpnChegV43okkWihM7rAplCu2bf/ar7MGh4D1bC7bMB0M4I9BIRlDN0Pd0AFTVLNGOTT4BvHd4HnRZCKUJFFr7fFDZAn3O+uSriUfOU0XW/7j4KGt6Dpc3+BhMAygHKQk/eg29dWU8tQK3+e8VYHITmbs4+Jti4r6Y5QJeWjh0j9oZxP/vZh9p0oWCKpoxJdNe/PP3sb0+beXcjKN2z+/kdCu/B0mR/w9CHPq+fEYBaWXhKHrV4931tff1SigHaMvbqEMvT0cxN1pevPCYVfnbXDPvQsVP27M0e72cf+0iaLuRP0QB018wl2Xl3BlCjP3/3hAXQBYciuZHIdPv27c9v3xbv4r6XOPT++++/8z7pnXfeEV/f/PkvST8///P34765oDp1au/UscOHn3zy8OFTe4cP08Hjh5XCz0NTU08yw1OnjrFriCtBfaFIAMoCUOqu7xr1S7zzbuaQMgHQ28RPBtB+Jej77xvw5C905p033/zlG0xvvvnzN1MLUMY9xs5jxw4zijJ4njr2OIPpY6rhJxP74DHzSvH+JpAmRQFQxko+ymkOdrLg8+U2gLqm4cPr2kRvT2Of7M/GBo2BfnjD3/Uz0IU3ph9deX/PLKO/sv6GqfPrae3Cs/57hcY/+Rrzlcp8ZWp6dv6YD4DOzkzPHj4lUlFh3I+3fQRNF/KrCADKUNkxyEkpJdcI1KnwHqzI7QmbfPiTCHrjd30HUGvy0fvvi9lHTATQ82tra+feOJdegLYIoPO08BKtkjw7OzNfWfID0Jnp6ZnHn5ytAKB9o/ABStOPOiLM66wP7zoG6lR4D1bk9gTQ1o0Nxs8NFon2H0Atar7zpjH9qHXljTfOnX/j/PkLDKRrqQXoEs8bUfRJ+JydmpqfrxxWY6cYKmUAPXx4enrJ3OjYuZ4dAJpFhQ5Q1kGX+GgA1MrCp7yMifOztbFpRKCfbvi7fioA6lgkpNP+ijlpkwH0Hf6WSufPMYJSB37tjTcupByg8yz0pB2LafmlWbUckt2Hnz22V5kxd4pvW1EZAM2iwgaoGz85QJ11oK5zOcN7sCK3FxHophgC3fg0exGoc2ElyV4Ak/rxV96hLjzVzl86b46AXmAgTS1AW5VZqgKd4VEoY+f+5fPtmmYR6JN7SzOzNkDFS9D78bQPuelCQRQyQBk/rfDS7rRfpTfpnYkk6uU7x0AZPje3tjYzGYGaSSLj65VL77WvuWSeZwBdW1u7RF/esJVegC7xEdBZ9mVmprK0RD3zWcUuvEHQQ1NTj88cmhEAbd9VDgDNosIFqJl/FzJDzS9PU1CaprnwAplCZr387T37PX17Y2tzZ2eLhaEfZw6gjiU+OT4vrf+KT9QU5fI03Z1iUPaVdeHXLpDWLjgA+kZqAcpz8HwMdHZ+aWmer1LnNwZ97PDMoen5eXNW6JJFUgA0iwoXoNfb+u8MlRRrmqOfqVmNyYYkyXhlABV5943NzQ2GzY2tna0tGgLd7AOAXnqPuup8uRC+5hKPQtn7X755YZ133i+JCHRtbf1cegHKJyGx4HOaIMoC0MrUoSm/AD0klgylaaB8IXvHICgAmkWFClBr/U9j/uau4/1eetYDNZAphjh5xSd9+fxzOiaCsleG0J3tDZGM/3jT3/WTC1Bjiw576FMk2NfW19+meHNtXQSe7AvN2lxjAH3njTadY0o3QGlruJlpKmKaqTCA+scn1yxnZ2veTiUFuZ/97MNsulBAhQpQa+6mYwL8gqOoKcEr0jsCzt9tGCd4jp1/IWx+9hmB0wxNNza3tm5sMd3Y+GNGAMpiSpFVd0ag7CQNcr69zr6u8bnulxg6zYHPX/78jQ6dv3IurQB9gaJGFoPyzTanp3nw6S8Hb0Sghw5V+FpO81Yt0zwAmlX1955IJjbtoU1Gyk83bhhh5w0RhvI4dOPzzyn+3Nwwzm8z3aJB0J1/T10X/sqV967IZ1lPnfY4unTJuUvHldb6hbUrV25eWTu/dv48g+f6+oUL5y+cX6O3a2928jNFY6DSih8vLPH4c77Cd4mbnvJZwdQmAVDzR4jlmQDQLKp/AOpMDAl7i5lUE3/D6J9vbn5qHIlqpc3Nlnj32WcUdxJAqRO/s32LtL29sZ02gFJY+V5HnWeLw5IAyqFpb290hYedl361xvB54dz5c+fWLp0/f+4CO7e+fmXtnDtAGXB93I/H/UfmE4o0xTildX7phSUegc7Ozxxi4efsVFB+PsYiV7qu2CaeBIBmV/0C0PbEkLA3Y8sNnhSib/K00O82NsQUI/rCAEqMZW8+/4yd2tqiD2xtbW4LgN66tbVza8ff/SQAoGTfCVDKEfFdNtcviWS7yLdfYNhcO/+Lc+feoD8034j9d+G8CEHd+Zl4gNKSn5WKGPBsWbHoCxR9Vpao/nN2ZnZ2etZvFahDYmG8JePaqAPNrvoIoOLFPHvj9udirJPzkyOSKpOYwYdUomQOf25QoRK92RRjoOwbG5tbOzu3TG2yP/7uJ2aAWrtmthOUgk4Rga5bu8OxN2tvyFHmORZ+ssD0QjeAnm9deU/9frzuPzKAUvBJXHMmyp+mRUSYZmmr4pnp6R74eYhzeb6tDBQAzaT6BKAWOO3aJAbQG9RjZ1Dc2TQGNneIhTcpyc6YSr11doq+yY43P/ucznKebm7ubN+yte3vfhIK0HUzAl1bM79x6ZI7I8+tXVi/8Mb59fNu36Qx0GQDlOfH6a1IlJuzhW5SUEpl9FO0yzuLQXsDKCe0YyISAJpJ9TFAb1OMucmIuMmpSKvT7VBvnAC6tbNFp9j3t7cMzH5+m4o/tyj8pPhzx0FQf/cTL0AFNmWAttbXjBXmBUApAGWRZjdGXuhy/o3zaQCoNdOyNV9ZMrrwSy9UZuf5JCS+LN3UbKUXgM6LrruojAJAs6v+AKjJT0KmeKUuPAstN0V4yeBJ8SbR8saNm60bW9vbO2RpjIpSN3/nk8+Zwdbm5va2M/pMHUA9I1AO0AtrxmT4jhma7UFot28kPwI9xXvuLYHR+YrRiZ+v/IDFnzMV9obWl586FDiJRKqIbZEMfqILn131B0CN5T/Msk5aiu7G7c8IoFsbrRsiCmWR5uYO+3LjQ0ZL1i83OutbxNSt7a2djz7bpLiU5r/v3GqHqL/7SSZAeW38O+8QNtf5/KMWi0AveHIyvREoBZ48PFyiGUc81zNfeboyW6EKenPssyeAGhski/ATAM2u+gigN0Sn3EzH793eYAEodc6JiVuUT9/Z3maQ/COLMXe2dxhNt2iAlBuwo08+p+mb2xSusuP0RqBdsvBXqDLpzTfXL4n9ienM2rkLXXvqnkp4Fp461xVj2+JKxRgNXZp/mkWjs9MzM5VeyNkWgYq6Ui6v+/F7//Y7KHb1CUDFFMwNq46Tdc9pDPTGzg5DKB1vs5CTiSLLf7/FvrD4c+vWDk11pxCVme18ZJQt0Rz4WykHqFsdKI140kwksVgIzUviqyNnEKAtY8tNvm1xRRQyMdo9MT87OzXTokWYekaoAdCKMbeJjxMAoFlUHwF006jvbAmA7t2mHDtBkhDKeuUbfIWQbV7byUJS1lG/tcWJ29pk727ZnfatnY5RUH/3EzdA3WciUcro0i9/uba2vsbLQGmi0YWuQ6DeSvpMJA5QqlhamqcdkHhBU2X2CRZ8Uu6olxlIFkCp025nknimCgDNopID0Jsdks94y9v+ww9/x8Tf3Pzw0999+OGHe7d/9+HvPv3jx7/73cefsje//z0z+fjj333877d+/ziPDKsAACAASURBVOmnH//+j5/+/tat33/88cef/o69YWGprd/zPw4FuB+vD+jySZvee+/tX1z45S9/8avz53/19tu/YvrFhXPBevBvvP127/fT8YFwffLC0y+Yf37wg6efZn+eZvhk3fepmSdmeqn/NDXzg6dfuPnCD55mP+qFm/abMHxi2+tvo5Ck5AA0vH+Z3exF5qjFJ7fzkc8bt2/TKwWfW6xXv0Npd+qqb926tX1jc3uHD3Nub+5I4aaL/N1P/BFoS4yBOjvxV3jK6NzPz69Rgec6Td+8FDD+fOON8+eTHYGaaR3ev55nkSILRGemp/jco+kQ4k8WgYqS0opRIUU9+qUXwvEJItBEqU8AKtYF4XVMPONOdZ2fGxXyW4yWVBpPqNzZEn10GuskgHaOdmYFoO9dMjY2usT/8JT7eb4UHRUonQ849mlq7fzbPu8nFoCKue+cdLSA3RPT4cCTA5QuOzM7z0dBebEpAJpN9QlAOUEp3BTredKf2zQGyqJOPrWdAfQW/bVHOrfo3bYKPtMH0CtXTIBak94vrTlr5v1XL7Xpyrnzvu4nhtWYlsQ8TqoEna/MztACdk/0NPu9XbMcoFOzfLR1CQDNrvoHoDf48p2MltSF39rY/OijTb4zxwafn7lFFUxbBjdJ/DVzABX99itX3r7SEvVKxE7xpducowC69EYaACpq6KkfP8tXkT8UQvbdFM8azU/zLepmZ0UxKACaRfULQFs8105F8ATKjZ2dnT98xGdrbvKhT+LmFn1lr79XGPVMJ0DNNUIutd6jMU5aKnltne+quX6ps9feSxB6ifaVU7iffe8/Sp/QikzGqscVY9pRaPw8JJaym6Up9dNTU9N8MBRZ+CyqbwDKRzu3qE5pZ2dzg7Hyo082W2IpUEIrYyb14G+J3FF2AUovLOCkLjxfQpmWlmdfL3Sd9B5EF6iSSeF+9r3/KCPQeVGdScWgrP8+Ey5AafiTEXpmms8JnZ6mYwA0i+obgDJ67tAC8tu3aAbnre2t7T/QyOcOXzFkiwjKq+gpFBWL1fmgqL/7iQ2gRtadgtBfrbf4EspXLlwQCXebn6GQNOFdeFHezsLDCo1O0hL0s7R6XXgAFaOgM1Nie6VZ2ikZEWgm1S8AZZ32bfHn1ubGjS0GyY8+2djY2d6mBNLWDlXS8+HPzVu3/rjjNwr1dz9xA5TAyQHKItDWuXPUf7/gKJnvMYGUBoDydefnlyosMKxwkB5iIWiY9GSa4bvTzVT4fHtKyGMMNJPqF4BuitVBeC99Y/PWzubmR5+1WCR6a0Msx8QiUB537lCR/HYmAerY6Wj9bd6bZ6HnuXM0833t/IUwu/BvJLoLf8rYvpgRlFb9nKVt5KYCbr/pISornZ6uzE9RhSnrxFcA0CyqTwDKULnDUUl18puMphscoLRc8gZfgH7TBubvszoGesVeKPlX66KGae3c+fVLrfX1K/0FUNrKo8J39ajMzNBW8FOhFTDZoqrSKUFmGgmdAUCzqD4BKKXdxap1rJe+sbXNQs6PPrphAFRU09+y16hTK15KM0B/sUZT3y9dufTGG5SEv7B+qW8AeuqUUVskSuhnaTb8zKEIAEpDqiz2PMQ68rPTh6anfxCOTwDQRKk/AMp66Iyg21t8MyPqsFMW/jM+8LlJefgtAujmptGP394SXFQORP3dT+xZ+CuXrry9trZGyaR1I4nEGBp44mbqAEqrfhI4KzQWWuGrgkaATyslNU1deNaRnwnHJwBootQfAG1tbu/Qep+8SGmLvm7v/OETQU1apGlni4+GstcNKqa/sZXJCLRlzT3iZUyUPeKbFrNz67RpcV8AdOnYKUqMz8xTGej8PK9yn6+ENwfJVqUtL8UQGo5PANBESStAdxeYnuvyzfAeLBd7sd7n5qZFRsbQj3bEOiIMoXwW5yatSE8A3dnYvHVL3rgj/QClRT8p4Fy/xGciXVoXJfR0bu3c+f4AaOvw47NLs7RyyBKNgVIPnn8NnZ9TlY5t6QDQLEonQK8ucD37rut3w3uwXOxvbPMeuYDiNl8o5NYf+Ar0N6i+ngOUdnsXw59bfKQ0gwC9wsc9GTDfNqYkXVnn+Fxfv3D+vMdOcRkC6NLhx6crM7MsOpyemqVyJtaTX6rML4UOUPZTRGp/amp6hlA6HY5PANBESSNAry8snNzbu3ti4YcfuH07vAdLtr9BMWWb6HibZsfTgnU7JkCNZZN5RmlDPQT1dz8xApTwSZOPaEFlMafzitGTX1vvkwi08viTNP7JkTbDV2OiHnxlfibUMnri5nxFRKB8VtIUAJpN6QPol6eJn5ygL7t9P7wHy8VeAiiHKM0/4h142vXoFm18RKf/fYsbKy4kkiaAXhGddqZf8CpQvrAIJyh9I8T4M7kAXaoce2yar19HpUXzxtYeRNRDIZeCzvANkqfZm+lZKtVHFz6T0gfQXbPvftV9GDS8B0u2d41AP9qgKZ200vINWmpke4ey7+zPHzfp/I6PWiZ/9xMfQEUCiZLvNkAFVul1PZxZnMkG6HzlFOvCVxgyp2enZ2ilY2Nhu6lDYc/lNDNT4uvU1BPh+AQATZT0AfSq2XW/7j4KGt6D5WJ/Q/THN3iMSVscUfBJmx1tt8RaoVtbtCES+97W1sebLb7ZXOYAysC53hJR54V1Cj3tqZ30sk7rKK+FNBle5X72v/8oItAnn6TKT5pnSavN0WJMLeLqoUM/CBegrOcuyuhpQtLU9OwMAJpFaQPoV6+ZgefuwjOvuxiE92C52Bs03ORY3KDhzxvsleJSY8/4zS2akLS9c+PGxqc05XPnRit7Y6BX1tZ5OT0D6BrR1ADoJR6AXllfE0uKhNKVV7qffe8/dJ+wcPPw49NiEfqZqVm+Kj0/Px/uckyUo5qZmZqaZ+EnFeszVs/GVUj/5+cHLD0ctPl66k/ft3/CX/5jF5v/7Wf0cmZg4Gs/C/RD7rTff5cL0a3cE+j6AaUToCfFu7snLIAuOBTpT/+cYe6jW7c+/+wP7M1n7M/eZ7f+8Pltdvo2EzP47BP29fYnn+3d/vzzzz7//KOPPv/kD39QBWiktx6i3nzzfdLe3js/Z+/eecc4/f477NTeO+xUeH34OH9NL5069eRjT5568snDjx8+9eThvb1jx4zzT0499lho/Dx27LHHHn/sycPsZzzODtnBk4efPBXTr+wEaFe+9SQnQN35xe7haz0C9Axd++v/5jjsL4CaOaR4AHqbYe4T9ucTg6R/+OSj7U8YNm9tf36bf/+zzwmkDKPs+Pbtz/7w0Weff/JJ1gC69+Yv3yFwvsn+2zNYurdnvr75JoE1pOWY4v09u+vUsWPHHmf8ZC8caaeOGVw79uThxw49FhpAH3/y2LFTp04xYE9NTT325JPHDh+O61duA2hQfHmqHaBuYa6Fu8AAFT/D5n9fA9Q1DR9e18bNXpTG7+yYlfSbm9t/2NjY2N7e2KDdPjZoew+aG7+1tfHhjRtbO7QbPJWC3nAl5lZ7997f/cRYxrS+biTd+WIilsQcz0vrl955hyrqQ+Dne2r3s9/9RzIT6fAsTYGvzFdml6wuPHsz+wQ7STFob5OSeBRLYwQtc+u6JfpxMa5I3w7QgaeCtuDu6gCoC9iCB56m7nSEt30NUP1joK12EG5ubbAe/EaLVzCJXeZafN+krc2tzU+psIk+s9G1ln7TMaeJ4dTf/cQ8E4l4uf4re21l8/XKlbW1X76zTlt79B6DhgSLSAB6jGbAM6TNz3PELRlbHFeerszQsGUIAei8cU3j2kamKk6Aiq4vB10EeHFQ6477MEHvAGVX+Pr/7bhK3wHUdQzUqfAeLFf7tqQ60Y8BlBYCFdt08kRSixi6yQBqHG64Vo8y8WjVLnPyeT+xAtSQtO2wmJj05ptrfEpSUF26RF/ZpZIL0NbesQrPwosdPThAueZfEIszhZBJWnIAVMjrfvQBdO+Lh/hbRrmv/X/PGwQSAao1uHjNEegRjZ5qp+4Zu49uX8VJrTNmkEs/y/gR1+zRUYN7/Mrc1klEdhf0KbcYmc4/fMcRQDsv5LhFcSvXHBd23EcUiiULr7+MySpkIvzRoiI3Nj/7TIDyhkVPYXfjQ/uwSwgq7ARBt7Y+9nk/cQJUILSrPevCX6L0/KULAVLx/MJGTJtkgJ4Su8HPzy+ZvXdBuJtEUfpT6W1m/DFzVMBxba/7iQeg/7tBFRNugopWZ5xHkXT0fzi75QJGxpF9FTeAnnFc1x2g/+dDjjEF4wf/5f/TBaDX6JY6fo55Iect0vH/9Lzjws77iEKx1IG6zuUM78HqYn9jm8mONWlfeIXru9LTEO2T7P9+4gWoqj1Nm1fpy/PdPA0sh34/EfnEQbUu9ktLPhjaatHyTq2WCD71/T9SbHg2QDn/7rHGE51sE0eO4VL6hHNss/2YjuyrdHThiWR3OIPpG+zIHaDOa7WN07oA1PgdztjjA10u1Hncdh9RqD9mIiXKPh0ATYQ9fOJlr9jw5CTSHQtThFRCkvEqetbiE08ZNGIY4q9PiWjuYSvItK/SkUQilp4RId81g3idWXjzyubPN7l7pgtAeQ9emBmRZMeFzFt0HtOFO+4jfPXJXPgk2QOgyvbwiZe9YsNrB6gZO4qY1ArpiFD3mF18U1bgJr5rBpp0wXucV2kHqDPU8wKoOTxqcI7bmejulGHmGI3ovJC4RenCHfcRvvpjNaZE2QOgyvbwiZe9YrtrAyjHjxXI2UAS70wSGv1xq2suvmuEgRxHDFJ2ONgG0A4AdwcoNxRks+/jmitAre/b33ZcyHGLnRfuvI/w1SfrgSbJHgBVtodPvOwVm50DoAZErGy2Y/DyTNtopZ1Eusf+7h0HJg2ACpg5AGqlatrTUW4Avce4FWPo4J72W2uTxWojznS5kHGi48Kd9xG+krMiPQRBEcjR7zXUHaB7NiSf8gfQewxSGx34O4JZXl14HwA9M9D+o10u1AWgHfcRvpKzJxIEQRHIA6CdXXj+3WtWN97qD9td+KdcrtI2OGpXE9EnFQG6Txfebapo51iAowvfQWbnfYQvABSCMi0PgLYnkXhVk9XvdaSyO5JI0lXaBiL5O5O1igDdJ4l0p42f4pdxXMhxi50X7ryP8AWAQlCm5QXQjjImM7FuYIhHfgxTJtaMMqYvHjIL6TsBKipNn7J4TB80ASoA1gWgdxw/yPy8/eIo/3Re0SpjctyiC0Ad99FtnlMPAkAhKNPyAqhzdLG9kN4qqnSEfeZEpAGrKLMToOZceKOayCrrtCaIdgFoZyF9G0Ctbrr5A4xC026F9B1deMd9AKAQBPmTJ0A7pjraIKNDx7xI0QG/42SVK0CNKe0dM5wM9HYHqAnCr/2/LgC9NtCR3TdK7s0LOW+x88Lt9wGAQhDkT94A7Vyp+I49zGjQ6MxA52Iioj/tDlBOwoetBeTPGNcyZ5F2A+ie8WPutPW1+YvVa7fv4KmOC9m3KF247T4AUAiCdEn72nBOoKophltsFwAKQZCr9NHpmmNOk69VPwBQCIKSKX10chYq+Vp3DgC19BvIEHwiCz6RFXmT1Egnuxqgfbh2PwGgluJ+HJMj+EQWfCIr8iapk07miso+y90BUEtxP47JEXwiCz6Rpb+NQpIA0OQJPpEFn8jS30YhSQBo8gSfyIJPZOlvo5AkADR5gk9kwSey9LdRSBIAmjzBJ7LgE1n62ygkCQBNnuATWfCJLP1tFJIEgCZP8Iks+ESWYsO66UOhtui+EACaPMEnsuATWYoNCwCNUgBo8gSfyIJPZCk2LAA0SgGglv7l72gqxF/8Q9z3kRRYCH/AJ5JeGRj4Rtz3QFJsWABolAJADdm4+Kt/ivlWEuIT2yMJAEZCfEL6179PwDNCUmxYAGiUAkCFfv2dgYHv0ZtX4g+4EuITBtDviXevDJjvYlNCfEL69Xf+w3+K3R8kxYYFgEYpAJSLweKv/1l6G5OS4xMTEz+K2yVJ8QnplYFvvBK7P0iKDQsAjVIAKJeTEG/FHW8lxCcOgL4Ve581IT75jXDLr78Tdy+FpNiwANAoBYCSHKygMS5EoCQA1FXki3/9+4G/jfs+ANBECAAlxQ8Ip5LhE3Th3fUjyqi9koQHRrFhAaBRCgAlJWNMy1QyfIIkkquEV379ndg9AoAmQgAo6Ufx1+k4lAyftJUxxU6LhPjEjD1ZHz7+f3IVGxYAGqUAUBIA6iLUgbqIkZP74q3Yi90A0EQIACUBoC6yu/Cswxq3fxLiE6vvzpwTexpJsWEBoFEKACVhDNRFjiRS/EN+CfEJDQcncMaap4IA9M/PO3YXvsZ3ymSnAu6cmWkBoKT2LPxbMccWyfBJW21X7CF6cnySnIFhxYYVAUAHBp7qtblnRQAoqa0ONPainWT4BAB1kT30ybyTnGENT4UHUPPUFw/53n44swJAuZx9eNZfjTcETYhPAFBZjn9bX4k9jaTYsNxA+SFTcIDSbuwP70EkAJQLc+FlYQxUkjN1FPu/s8EB+qGpoAA1TkEAqKm3BrAaU4fasvBxJ9mS4RPnBKR//fu400iKDcsVoOIFAO1ZAKghWs8uIcsHJ8QnzoQJfEIyi0CFErTojKdc+Nn5xjdAzwCghgBQSwKhsaMiIbBoA2jsJY/J8En7SEbsaSTFhhUBQDEGagkATZ7gE1nwiSzFhtWVn94AdaoDoHcGBr72s95bfCYEgCZP8Iks+ESWYsMKGIG6ANQWqphMAaDJE3wiCz6RpdiwwuvCW0L/3RIAmjzBJ7LgE1mKDUsCaG9Z+GsDA/f01tIzJQA0eYJPZMEnshQblitAe6gDvYO58A4BoMkTfCILPpGl2LBkgPY4EwkxqEMAaPIEn8iCT2QpNiw3UHaT+RlPgNJoKBYTMQSAJk/wiSz4RJZiwwodoFQGijImQwBo8gSfyIJPZCk2rPABSsOg6MQLJQegrQ7JZwzddD+dGvt9P9CHPuliD5942Ss2rAgAuncGpUyGAFDt9gCosj184mWv2LCiACjrxKOWngsA1W4PgCrbwyde9ooNKwhAIVUBoNrtAVBle/jEy16xYQGgUQoA1W4PgCrbwyde9ooNCwCNUgCodnsAVNk+Mp+sMvmx93t9LfaKDQsAjVIAqHZ7AFTZPiKfrJpStPd7fU32ig0LAI1SAKh2ewBU2T46gNI7ABQA7VkAqHZ7AFTZPhqfWOBsJ2hKfAKAJkoAqHZ7AFTZHgD1sldsWABolAJAtdsDoMr2kfjksoVNABQA7VUAqHZ7AFTZHhGol71iwwJAoxQAqt0eAFW2B0C97BUbFgAapQBQ7fYAqLI9svBe9vrbKCQJANVuD4Aq20cH0D6qA4WiFACq3R4AVbaPzCeYiYQufDgCQLXbA6DK9vCJl71iwwJAoxQAqt0eAFW2h0+87BUbFgAapQBQ7fYAqLI9fOJlr9iwANAoBYBqtwdAle3hEy97xYYFgEYpAFS7PQCqbA+feNkrNiwANEolB6Dy/0s//+fTb29/AD6RPwCfyPYBG5b3xSF/Sg5A4/uXXLM9IlBle/jEy16xYQGgUQoA1W4PgCrbwyde9ooNCwCNUgCodnsAVNkePvGyV2xYAGiUAkC12wOgyvbwiZe9YsMCQKMUAKrdHgBVtodPvOwVGxYAGqUAUO32AKiyPXziZa/YsADQKAWAarcHQJXt4RMve8WGBYBGKQBUuz0AqmwPn3jZKzasIAD90/cHbP3lP4bUxLMoAFS7PQCqbA+feNkrNiwANEoBoNrtAVBle/jEy16xYQUE6FMhteuMCwDVbg+AKtvDJ172ig3LDZTvMQGgYQgA1W4PgCrbwyde9ooNyx2f77ky1PwMAKqqvgRolQkATYE9fOJlr9iwXAEqXgDQnhUOQHcXTtpvmZ5TOeqQtgexKrS4GNH197MHQJXt4RMve8XG6cLPzjcAaGCFAtAvT1sAvbrA9ey7+x51StuDSOEnEwCafHv4xMtesXUCoFEqDIAyfpoAvc7f3T2x8MMP9jmSpOtBFPhk9ovVSK6/rz0AqmwPn3jZKzbPrvz0Bqith33yoK8UAkAZEk2AmqEoO/Wy95EsXQ8iAJoee/jEy16xfQaMQAFQJfUOUNYx/y//zQDort1bf877SJamB9HkJwCaAnv4xMtesYGiCx+legYoCyhPfvWaAdCrZvf8OtHS60iWrgcREWh67OETL3vFFioBFFn4ENU7QP/rB3smQNmrEVzuLjzzuteRy4V0PYgAaHrs4RMve8UW6gpQ1IGGpFCy8A6AGsmkuyc4MrseGR9ccCiMG1HS4uKieNH2EyEoPskAxUyk8BQqQO1yJoKk15HxwbgAKqTtJ0JQfHIDZTeZnwFAVRUZQBde9jpyuYjGrhBmIqXEHj7xsldsnQBolIo3AnUqvgdRsz0AqmwPn3jZK7ZOADRKxTsG6lR8D6JmewBU2R4+8bJXbJ0BAerQPaog6EOFDVAr0/7su15HLheJ70HUbA+AKtvDJ172iq0TAI1SoQLUWevJ3ngdyYrvQdRsD4Aq28MnXvaKrTMIQCFVhQvQFMxEit8eAFW2h0+87BVbJwAapfwB9IuHBga+/m/SaQugaZgLH7s9AKpsD5942Ss2WgA0SikC9E/fJ24SP932mLITRClYjSl2ewBU2R4+8bJXbOIAaJRSA+idgYGv/Wzvz8+LMWX2tl02QNOwHmjc9gCosj184mWv1HQB0GilBFCKPFncyV4YO6/J61s5AJqCFenjtgdAle3hEy97laa7B4BGKyWAXhOVDAY6z0RT1hDfg6jZHgBVtodPvOwVGxYAGqVUAMq67jQCyl748OcduQ8fhuJ7EDXbA6DK9vCJl71iwwJAo5QKQI15XeyFkxMA7c0eAFW2j8wnq0x+7P1eX4u9YsMCQKOUD4DeMaYkpB6gfC0RADQF9hH5ZNWUor3f62uyV2xYAGiU8gHQMwNigYFrbqWgvUvXg1g1tzUGQBNvHx1A6R0ACoD2LMUx0IftIVCG01QnkYxdjdsAWq1Wq93sQ78fAFTZPhqfWOBsJ2hKfOIboFCUUsrCnyF0XhOTkKikKZKVrjQ9iBYp7X3hzZi0Gsb197cHQJXtAVAv+yhaIeRTynWgpKd4Pz6aHny8AHV+BwBNjH0kPrlsYbM/AIoufJRSm4l0jfOTwHnNZSJSONLzINpddQug1injDQCaGPvIIlCRQQJAAdBepTgX/s6AlYKPaqVqTQ+iHIH2E0DnmPzY+71+yPYRAbRpJOGbACgA2qNCWc4uFGl6ECWA2jFp5gE6Zyr+xq9mH5FPms0mvRNfFez9Xl+TvWLDAkCjlFoSKaJee5vk/5d+/s+r2x89epS/LO5ZJzrf9HT9oPb2ByLzyZEjR8SLor3f64duH41PLp69KHT2op9bUL6+LvuADcv74pA/+ZjKGbF0/UterVbLTHYZU9904UXvnb+JPXpSs8cYqJe9YsMCQKOUYiG9hl1RtD2Igp9VZxa+TIn4zGfhAVBujyw8ABqe+i8CNauWbICWTYVz/f3s4wKoxc8+B2i/1YECoFFKaQz0TkS1823S9SAagWZ1cbJsnUEEGsb1w7cHQL3sFRsWABql1LLwXzwUfQyq60HknKS58JPlqvHe+R0ANPD1w7ePyCeYCw+AhiXFMdB2pXk1JnPWUXVvsdrqL4C2jCLQvi9jwmpMAGhY6juAckzy5ewWxRvUgYZ2/dDtI/MJ1gMFQMMRANpHEShmIjFdviyz08s+aT4BQBOlvpuJJHJGLSML328ATZl9+D5ZXSWAusSfqfEJAJoo9SVAq1YdqJlRarVa2c/Cp88+EoCKLrzyPSTNJ1oAau5gbi6BAXVTHwKUl9JXhb0JUKwHmkj70H3CwCnsXQiaEp/oBqi8iznkkDJAjYHQ6GbFa30QKQu/ZwedWJE+mfYAqJe9YsMKCNCHrXcgqIcUAerII0WFUK0PItWBLoqufCTX97IHQJXtw/YJYRMAZXqBSQ2gtAQw38oHcpUaQNvy8N3d+dVrC5Z++IHjmA6Ydun9c10+rPlBZAAtt3fdw70+ABqCPSJQL3ulpusG0BdMKQGUvcc4aFcpAZSPiIjJnHe8tvToBOiXp9sAelUcPPuu64f1P4gdyaPQr9/FHgBVtgdAvexVmu5eF4CKFyWAsjaPELSrVOfCW9AkmO47Mf76wjOvs5e7J4zQ0zi5cJLOLThP2tL+IC52lC+Jt9VqpgFqFILG3vjV7JGF97JXabp7LgC1wCkT1PxMG0CNbc0hNynuyukY+FRY3I5B8iS97jr76ywcPWl882W3D2l/EGWAig79UZdx0TDvJ0aAWlORYm/8avaRALTv60D9ArTtAGqX+r7wlq7tu7DIVSPIvC6QKbRr9t2vug+D6n4QneuBWm/o3c1MA1S8xN741eyj8Enfz0SysakIUBZAYRC0mxSncjpD+Dv7JeJ3F4wY8yrvyBsyqcqw6joKqv1BlCJQayaSK0EzAFADnxMTxe8q2fu9fuj2GBf2sldouqSeI1AA1EMRAPSr1wxUfnn62d+eNvPu7KwReO4uOLlqSfuD2J8AZfhkAP32xMTc/vZ+rx+6PQDqZa/QdEkAaJSKoAtvBaB3TyzYeXcGUKM/f/eEBdAFh/zfe2AtMokXcWSeNb9jnsmYjh+nL48+epy9O/7o8bhvB9IjCaB+s/AYA/VQBEmkq46yT/6OnzBzSPEDdFGSyc1J43gymwAlggpwWm+g7MsVoD7qQJGF91L4ZUx2lt0c7GTB58ttAHVNw2vrCjn2RBJV9GY9vTEv6aZYrSmy+4m1Cz/Hu+5zR4w34V4/dPsIfNJ89dWm6zfi75L7tVdpunu9z0TaP+nRzwq1kJ7LJUdEeXfXCNQpXQ+iOcDpHAMVBfWZByijZpHzc+5mnwK02SSAMqnfQ9J8EgpAu8nR4jETSUkBpnLum0KSqpSusz686xioU7oeRAmgVsqosb6GTQAAIABJREFUXDLqQLMLUEbQCVEH2rcAJXsA1AdAMRfeS6EvJsIiTamDbgDUysLHWcbEN/GwVqQ3zohXxk3a3Di7WXgmAii370uAEji5vRtBYweiX3u1ptsjQKnlI4XUXaEvZ+eGRwKosw7UdS6nrgexLNYQKU8a2xrbtMx+BNriZUyMnDdd+Zk4WACgXvaKLTcgQLEeqJJCX1DZxqPdab9Kb5IyE4kWU24JgHZsa0wAbWV6DLRl1IFOfLcP60BXVxsN077ZYJ35VW97v9fXbq/YInsEKPDpqdAB6sDjdaugngY9EzIXXqxfx/5OTloL0hvf6guACoQe8WHv9/oh2ofoEz4BvtFYXSX71Xq9UWd/2xgaOxD92iu2yCAAhVSlNhOpbRT5jFca3g47OSqf27PTSslYjcksWCofPFi1CGpn4bPdhTc35Yy/8avZhwtQ6rkbAK2tUAjaqDdWu9kHvmcAtK8UCKAeA6FtOaRdo0beiEmTsB6oIGa5VGYRaNXYn9MqAzWXs8toEsneFj7+xq9mH55PjAVEGDQv77WatZoIPpv1Zhf74PcMgPaV/AP0T99XBqixwrJ1Igkr0luV87yQ3og1zYJ6wz67ABUvCWj8avZRAPSnP63XlpebqxSNUp8+7HsGQPtK+wD02oCb9lvOLpA0PYh8ALRUMpazK5fbvyXsswlQM/qkCqYjbimk5MEiNJ8QP8UqoI2XXloh1Vn3fbVZrwOgAGgv2gegbRX00SbmdD2I5XKZAbRantxrdQA04+uBThQnJqiKnr4eMVlqDoqGcP0I7EOMQJurQs2XXqqtLC+zP4ygACgA2qP268Lf0cVPnQAllQigRhfe3Fgu0yvSEz/nBD8nyJ4mxtuDor1fPwr7cAHKXxsvvkRd+JX6Sq3eaNQdg6CxA9GvvWLDAkCjVIAkUkTS9CDyLjwVLBlJpKqZfDcT8hncE4kzkgGUv6cAlNtb6OwLgDao7pMFoCsrP23UV5Zr7C/7Unfk4WMHol97xYYFgEapfgSooCgDqJiWVBaLiFhxZ9YAKoLMiWJRcJJP5uQAtWrpLYImDRbhjYFS5XyDtLL8Yp2FoCuMn0wrjnL62IHo116xYQGgUSr0QvrA0vMgVq20u5GFt/PvJkEzCNAWcVMEnHM8Eu03gPLwkyF0dbW2/FKt0WrUOD6Xaw2boLED0a+9YsMCQKOUP4B+8VBEKfg9TQAV1Z4tMRPJLP1smcVNvV9fxV4zQM1u+pwYAp0r5g2ATkyYZpkHKE/A80x8s/biiytUBdqkHjxV0wOgAGgPUl6NibhJ/ByIanErDQ+iuWoyRyZ14fmAqPhOxgEqFhERffm5votAbYCyCJQGQCkRX6M+fdNeVyR2IPq1j6QZQv6kBtA7fBkmc4WBaNan1vAgGt11Mf1occ/Rc88uQE04zs0Z64dQX15k4ef6BaAi9mzSGiIryy++yDrvvAdfW643AVCoJykBlCJPFneyF8bOa6mtA7VqlXgUygDaahv/zCZAbYIWi0YVE/sq6kD7JgvP489mvcEizxWRPhKloI1+ACi68FFKCaCMmfeIF0JnRJucyv8v/fyfV7E/etR4feSRo8KezrCjR+iN+d3g1+/N3v5AuD45ckS8P/JdLjo8ckScPGKql+tHaR+WTy5eZF/O/vgnL/7kxz9+adkQOzh79uzFsxfDvWd99gEblvfFIX9S3NaYRkDZCx/+jGiPqcj/Jbfr4/k7bs/XZSqXSyVjZLSX66vax5OFF6HnhBF0mvb9MhOJxkApAq1TDaiher1WQxIJAO1NanWgfEc5cxWRtALUJmgbQHklaKnsYh/R/cRRB8pXUTa673NiDNTXPWcAoKuNGuNnY+XF5eWaCdGVerPRdLPv4Z4B0L6SD4DeER35bAHUnoLU+/UV7XUDlAqWRBX9HC8GbfUhQGkqUq3OYtCV5VcviwQSr6WvNRrNVWOlppT4BABNlHwA9IyxtfG11K7GVLVrliyAWt8K4fpq9jFEoEbkOSEiUXYUe+NXsw8ToKv1WoMmcIox0BrDKaXiG83VFgAKgAaW4hjow/YQKMNpJEkkDQ9itWrPeuf2HcOivV5fzT6OLvyc4OhckVZkmij245YeLPxs1FjnfcUC6Ar7SjX1q2IYNHYg+rVXbFgAaJRSysKfIXReE5OQqKTpqSjuRMuDWLVzRa4RaAYXExF99pYoAC3ybeGL+b4DKIsyGyu1ZTuFZPTiG1ThBIACoEGlXAdKeor34yOazBnLg1gVa4nYmyNlbzk7MQGeobM4PmGsyFQs9tuCyrQaU12UzzsBurxSJ3qKUtDYgejXXrFhAaBRSm0m0jVrIfprUU1E0glQHocKgJZKJb46qDlDnuwzBVDBzzzj5+jw6HjeiEW/22cApR3kaisSQFfqTQAUAO1FinPhaV1lIwUfSf99TyNAjXFQvqVHVVSACoBmc0sP3oXPF/NzE+PDg8O8Dz8x0W8AXW3UVxs1AVBHL36FRaDWdPjYgejXXrFhAaBRqt+Ws2tZuXhzUzkKQMXS9CZAq2W3fY1TC9AJXsU0UcyPDzOCjrNgNN9vEegqA2ijVm8IaJr0pCC01qw3mg2MgQKgAdV/ADXTRYuT5ZYxBYlFoIWy9Y2jxhr1Ud2P7i78BA1/5kdHWRQ6OszwSUsq9xlA+VrKNWfsaXThl2t8dhIACoAGlDJAaXs5ysVHtRyoXoBSF36yVCrQACitqswAWjU3SDrq3OM4gvvRDdDixDjjJws984Pj4ywKHc1P5L/t857TDdDV5qobQGsr9ZV6o7GKCBQADSzl9UCNlUCvRVTEpA2gZi19mQGUuGksS88iUXMg9Garc25SuPejFaA8h5QfH8zni63i+Pjg4PDg6Pjw4LjPe047QGk/j+XlRhtBG7yqqV5vrjYwBuoGUKvRQ92lBlBjd2PmyzMDngT96rUFoR9+wI936f1z5nfbjzqk60Hk4SVj5uLBUrWcK4mB0GqhxFNJxNKbzvlKEdyPdoAW8wyf+YkJDlDWk59goWhfdeEJoLQVZ70tAl1hHXjamnOVhac0V/6iMSOpx3vOCkDtHc0jKrvJhpQASispf/3fvniI/jE64+nQL0+3AfSqOHj23T35qFO6HkQToHs0Bloo8a47sbNKZ+n1aIYAepxvh5QvjhfHJ1pFFn1SQomRdDjfvgxT0OunAqB8JaaVWq29B2/04ykJTzvEN5tn+dbxPd9zRgBqTZi5hiDUS0oAvcMXAhUA9V5Q+e4JI/Tkur6wcJLOCZy2H0nS9iBWRZZ9cpK9L+TKJSoFLZXEsCcR9KZpFtH96I5AOTKLo6P5PIs/J2hTuWJ+ND9n7PDR4/WjtQ8vAl2t11zwyXrwjJnNWo0sLq62Wv0C0KNH3Ze/tT7E4k8z2+F4C0lSnMopJnFygBqrg7pr19lDZ+HoSXplzHy580iWtgeRRjxLlERihGRvKAMvxj+N2DRrAGVdeBaDjg6PDw8OjjN60mz4bxWtFUacDE0aLMJLIq3W6lbxUlsEutpibK3TokwXm64ETZpPQgDoUVPdAXrG0cjvRJb3yIDUFxMxAcpC0O59+OsCkkK7dt/9uc4jWRofROqo8zIm9o4nkMqinJ5HoawLTzYZysLnaR5SfnSYAXRweHg4P0FlTa254kTHhh7Jg0UvPnGMaRJADX529uNpKlJtha9qd7bRRwAVL10BaizAZrZ/RKBd5WM5OxOgXuuBXn3mdceB2Vm/TuxsP5Kl80EkZi4uGivRlws0nZPBVCTheRlTtupAB1n4OT46yvg5ODo4zELQ4uj4RD5vbTfXy/UjtQ/uE5EUMsc0m42G2wCoCEkbtDI9szxbb/YHQC1wygQ1PxPRmr8ZVLgA/fL0s789bWbav3rNDDV3F555vf3I5bNhP4gWA70AynvvBZOkYhz0pgs9Q7gf9Q+E6xMqYqLYk8FzlL0O54tz+dFvzU2MjxbFKKijH580WPQE0Jstg4erq7yIqYtqFICS3cV6AwA1FNGavxlUgC78me7OvXtiwc60M2SeNE9zgDqODPsFh3r5LWQtmnL/7iT9N7l48ODkIj+YpHf03t0+zTp+332D93GA3nvvfffeS6/s5fiB+++778Cjjx4/fvzAAfrKFPedhqjLl603pFdfcglAV17kJ198ceWly9z+pZccH8yOuvLTA6ARbRyZQSkmkSjmNADqtaDyrlG/xLvrZtZIILP9yLCPFKDixf27xEwSw6bALPsrDsK9jfh1/MB9B+67/977779veHD4/vsIoMMHHr3vwIH77nv0wP0HmMWjBx7lhtkF6N5l1777i9bbF7nZSz/NIj8DRaAAqKpUy5juMQFKNaFdc3Lm8CYLN19uA+jCy+1HLp8NtSvkXCjZJYlEkzcPHiybq4kYlqWS8vX93o+vD4Trk/HxYr44LDrxg/Q6PMr+y4+Pj+eLE1TLZO7Uyb4mrbsa1Ce8I86vyRdLXm127cBb46D1xtlavT/qQAHQEKU2E4lXz3OAXlNbUJky7QoRqFOhPoheAOWLh5QIoHwafLVs7shpvMkWQCfG8/nhvMHPwcHxUTEgOl4sMobSAssTE63MAZQT1AHQlc7qJccQKP9ar9caP16pu01FSppPtGThMQaqKl9TOdVndl1nfXiFMVCnwnwQ2/Y6cgFotVQoHJwUE5CslZeMxUSyBtD8KCPl4Ohgu/gKTeOjo+Nikw8yziRA+VKf3TNIfElQ+spXW3adipQ0n2ipA21PFN/pPnOm76W4mAh13P3MjDUAauXdn323/cjlI6E+iF0i0DIDZ4lW/2Qvk5NlvoZIVSC0Ws0mQFvjo+ODsmhxUB6K5vN5KqlvZQugdhae9jyq2YuAdoqFnjULoP1SB7r/TKS2OlCvtHHfS3k5OwOhiuVhBFBn5ad0JCvUB9EVoITPQiE3lisQRhcP8sXsynxBO1pUudW97Knn+/H1gXB9Uhx24efg6PCoURU6Pk7bdbayB1BRB0oT4Rsry24TOUUXXgB0ZaXx4nKj5ULQpPkkFIB2k/UhZx/+i4c8Jm/3u0JdUNnupl+lN3HORHJsAe8EKLGylMuV2NvJg8TPAjtF64JSX77s4/p+78fPB0L1ydycGz9pWbvB4fHRQRZ+jo5OmFt3Jg0WvfjEnIlERaC1WleAmoFonQF0xS0ETZpP9AAUc+EVFe6K9GZw+eVpGuaMcy68Ywt4056vuNQigrIAtFqaPEjfzhWqrRJfT6RsJOEzBtBW0bULT4OitDDoaHFidJjy9HNZA6h5zdVmvb5/Fr7ZbL7IB0GbACjXnQGsxqQitZlIqhE8gyNFl+Z4Z6yrMXXMRBKrzvOVRAq5HAs5JydpN84CnwhPyzFlNInUKtJCIu5B6Pg468LP5Skjn12Atlr1Wn0fgC436sv1nywvr5qr0/dwzxkBqLWXOfjpKcWpnKrrsewaVfFGJz0x64GKxDtxslAqjI0UxsbGHjhY5eCkjj2dpoxS4Ov7sdechS9O0HacrgClSZ604YdVy5Q0WITjk9XOHeFduvAry3UWgfL943u856wA1EQo8OkpZYAqelIsSW/10ZOyIj3f+71AoWehMDY0NJYbGxn5ptFz5yuC0uhoIYsApcXsOmuYrAiU73M8KgCarSRS2zX3wydPxlOUCoBCPqU2BmqG81Eu0RLhg8i32SwXqONOYWhhaGQsNzT2zZFCmQWelEdi5wq0KlPA6/uz15xEonlI7gBlBKUodHh0Yo4Xg2YWoPv24MUWx8vLzUaDVhTp6Z4B0L6SchLpjjEgksZdOSnBXq22CmM5yrfnGEkLuZFvPsBgSptx5sZYDJrLlcu5QsDr+7PXHIHOdenAG6n40eHB8Xw+P8EXWE4aLELqwu+XQ+KqURKJNp/rKKZPmk8A0ETJTxb+msHQaKbJRvcgmuvUlUZGRobY3zFKIo09MEmz32kIdIxIWirnhrIYgbYmurKTa3x8dDxfpBzSRDGjAG3u34VfWak1VpZXGDtZFx4AhZTls4zpWnQ9+egeRFErX2WQzI0NMYKWSmO5MkWg5TLtiZQbyY2w4LQ8llGAjo4Odo9BB/MTRRZ/FnkEOvHo8YC3HJF9GD5hUNw//FwhURa+IS1LD4BCHvJfB3onZQCtPlI20u2MkkxjIwUaDc098ECBHRTKpZEhejNWyA2NVQNcP+EAnRgfHu1SxiQAmh8dHaUJ8awHn1GAdl+N3tGB58uNNBo1aTYSAAp5yCdAz6QvAq0e5UvWUe084yVjJ3Xhc6wLf7BMSGUB6BCLQUvVVmEolzmAHp+bGB7Od6Xn6ODoRJ668UXaao4B9NGJYLcckX0IPuFTOfcHqIhD6/WVegsAhdTlB6BnjDHQaCbGRvQgVqs3xXohPHXEQk1GTNaRL9FgaKE8NsYC0CEGVhoLZRFo1ff1kw7Q4jhTlzomEYIODw7n83mehz+eRYBaG8rtqwZt3tkCQCF1KQM02gzSXqQApXlGZUbPUo4KmMYYMpkoEGXBZ7lEZaFUIFoaGeMbxmcIoMePt+bGRyfGXSdzOiHKYlDa7fjAgaI7QVMLUGLhqkIXftnYJL5exxgo5ENqAL0WdQ3TXlQA5btsUr18mc/fHBsbK4xRMp5R84FyeWSIxZ4sEs2NMa6y/6oZBGh+PO81Bsp78sODFIIWiwfut1YH9XfLEdmH04Vv7J+FF6o36isryMJDPuRjJlLEG51G9CBWy0errWqhVBgp8FlHhdLY0BgPQQmaQ0N8ZhIjKotOh3IlCkGzA9C543tzE3N5rw680PDg+HiesvAHinOtjAG0qVYGytVsrizTuiK93DMA2ldSBWj0M2IjehDL5ZstSsGXC0NjNGOTBaCiD081oewlV2AoHSGcjo3QpPhyhgBKEehE3quIyQ5Cx4vF4txxAqgbQdML0FZTOQBdrq026rVG1iJQKEqpAVRtJZHeJP9j6Oefzq72Rx85evSRRx48+siDuRGKOdkXEYCOPJDjb3K5oRwD6N+wl7955OaDD/q8vt/7UfhAeD45fvzI+Oi+I6Ckb33729/+1nePH/j2kZs3jxzxfcsR2Yfgk4s/OauATmOU9OJPfvzjH1+8ePZiD/esz15Do4T2U7jrgfaiaP4lr1arj9Bk9wLNN+LgzI2MCIKyt7wnz0JTejNC3XmqdspQBLp3nHY+UolAB/PjxQmKQFsZi0BXm0o9eEFQFq3WWRe+0XQEoamPQP3RGfKnrAOUdeGPFnK03JJYh4mS7yMjQ+3iiXlaZbmaNYA+Op6fUAlABwcphzTx6H3j1iadvm45IvsQsvDNpsJMTlP1RoOmcjZXAVBITYoAtVdXTVshfbn8YLkqVqwb46FmLjckiQ+G8pVFCoVsATRfnFBIIhkAzd9/P1UzFYv2FeZEUj61AG01G0pVoGYESgClrTxtggKgkIf8lTGlD6BUxpQrVBk9xwqdgaeQ43SunDGAUlJorqgE0PHxfH783ntpQpJdCzpnKrUAXWVEVCkDFTar9ZVao2NBEQAU8pASQO8MpBag5XL5kVyuxKe/j4hQ0108MKWNkbIE0L3j+fxcXmkMdJB2OR7mc5KKeZOg1o7xaQWo2kR4Zye+3mjWa6sAKKQmJYCeibwIdC8agPKVlB/M5caGaAP47vQcM7rxY4yzWSpj2jvOaOg5kdMZgtJXFoDOFccNgFqDoXNH9rll1fvRC9BV2uNIdR4nx2et0WyuNmqIQCFFqQD0z89r4Gc0AK2WyuUHC2Pd0WmNgfKR0UJpLJepCHRvrvtKIi5B6L2DedrgeDwvPp4BgKosBmr34hlu643VVr0OgEJqUiykj2b9kDZF8CBWKX2Uoynv+4vySyO04Uc5WwBVjD+F7h0cJ2iOj/NP29n4dAKUQ7CpGoHWVpZX6o16rb7aZH+RhYeUlHGAlvkexkNeg59Dju+OUMnoUeXr+70fxQ+E6pMuC9J3DUJZH94EaNojUEZBP134leUajX/Wm82VGgAKqUmxC59KgFZpKfpc4UHCY2HMC6CmcrRY/YNlxev7vR/VD4Tmk7njx4tdd5TrotHRuYlxo44p3QC9SCvZ+ZgIT3sirVIdk1iSKeg9A6B9JaUk0rVIl2EyFOKDWOXJo1arTFOQSn/DY0t7/pEXQAtjY7m/Ie6G+aD7/UBIPqH1PY8rzkNyKm8BNOVZeCqIb62ql9Gzbjzh09jXI+g9A6B9JSWAaunDh/ZgVXnkSSrwfYxH9um/t/XlR4bGHqQF7MN80P1+ICSfMPrtPVqc8A3Q4WJ+zr5EiutA+apK6kuJEEBrjVWxMWfwewZA+0rK+8JHHoOG9mDx9ed5CX0hVyrkxv7GLFJSZOjflCl5H+KD7vcD4fiE0unH7x/3k4U3CTrqvEp6ZyLxCLTupw60VlteoUFQABRSlI/1QNUK6a8vMD0n3n/12oLQDz/gx7uO70kK68Fi4KyKN+XCSK5kdNzVATr0CE2JzwBAJ+bmDhxQm8fZrnxemgyfRoDyMdDaip8ItNGoMX6uMvIGv2cAtK8UMkC/PC2I+czrziMDoFfFwbPvun40rAeLA7TKVRoZ80NO4myBAEoLMIf4oPv9QCg+4T3vvQOjfgE6TLskFfe/vt/7CWTfg09Wm2dpRqbqfnJC9Ua9LubCB7/nTADUbvLRLwScboULUBZyEjrvnhDIvHvCCD25WGx60v6epJAerKqlcmlsJOcv+ORzknKsC58rhPig+/1AOD6hZZWO3zfus4xpdHxwcJyX0/u6ZYX7CWIf2Ce0CNPZRqNZq/mayVlv1FYaq4hA25p8ZLugZULhLme3a4SejJIv80NHf52Foycd35MU1oNVNcZAqQs/ZMww8qWxcrU8lgGAFufmHn00wBDoaFGU0/u5ZYX7CWLfC0BXb7Kvyyt+ZnIuN1YbNcrA9/0YKAOosYj6tYEBHcupp1bhAvSqEV2ySJTQeV0gU2jX7LtfdR8GDevBoiS8eFPy1303NVKtFkZK5sWMAdXUAXRubmJiYu94MICOdq4JmjKA8hDyZqtZW6n5GQJdblIJU6sPAHrkiPu2A+ZnbIDundFRw5hehQ3Q55xvrop41DxldN2vu4+ChvZgUQqoVK6WaMNin0OgQrlyaYRHoNZoQG8Put8PhOMTikCPB4lAWRc+IwBdbaysLPusA633AUCPmFIB6B0dC2GkV9GsSC+661+efva3p828uxGU7tn9/A6F9mCJ1ecLinPg3QBaKgyZABUvvT3ofj8Qjk/4GOhx31WgAqHpBqgYw7y5Srtz+IpA681aP3ThDXQCoCEoGoDumrkkO+/OAGr05++esAC64FBoP3xx8oHJg5PszwP7rsLkrsXFbw4dpAstmldc9Pp5ydRx0t6j9wYC6H3s43H/Ar3o8quX6evlV3/6oh9+Lq+8uLL8IvvYq3H/AmHKhZ+db9CFDyxvgEr5d7UFlVkASt31XaN+iXfezRxSpABd5JqcpLeTBx9Qmv8ua3JxcWRsL+UA3Tv+6PEDB4YH7wsC0PuzANDLl/defcnfcsrLL7E/r776UwAUSSRFRQFQxko+ymkOdrLg8+U2gLqm4Xvv2pjVS7QLPM3jLPjPwHOVW9WxnNlzJ/F3aevCzxUnigcC4XMwI1n41dVVn/ykAdMmX4NE3++ovQtvY9MToJbATy9FAFCGyo5BTkopuUagTvX+YPEhS07OQomWAQ06CFo2kkgWQVMJ0FaxWHz0QJAk0uDgcAYA2vhJvd5YWfa5o8fKSsMcQ9X0O+ofA1WLQFEHqqTwx0Bp+lFHhHmd9eFdx0Cd6vnBWuS8oy3gaRvjsVwpF7ALX6qWxqiMKd0ALeYn8vcPjwbKIo36veWI7IP7ZJUBtNFo1Oq+kkjLdRaEAqDOLvwXD4GgXgodoKyDLvHRAKiVhY+mjIkDtMq3gK+WcyMMoEGz8GWjkD7FWXja2YgvBRpgLjxT2iPQ1upq8+Jqo1H3VUfPtVKnNe30/Y5Jz8IzgqIT311hA9SNnxygzjpQ17mcvT5Yi4v0tVyiXTxYP35kpBRwCHSoVB4bMciZ2jrQuWIxn8/fd6/vufDZACgtxHSRtuT0F4DyIJTmw2ceoOp1oHtnEIJ6KGSAMn5a4aXdab9KbyKfiUQRKK1DR4soF0pDQ0FzSEMFFrsaqzGldSYSA2B+dKL46AGx16ZfDae7DpQDlEWgTaUt4dvCT9aFZ5+qa/wdYwCor5lIAKinwgWomX8XMkPNL09TUBrZXHgDchZAW6VCdWyMBZIBe/BDhfQvJjI3McfCyOKBYHX0qQcoJeFXCaD+A9Dl5UadxkHpKjwbn0mAdpP5GQBUVeEC9Hpb/52hkmJNc/QzmtWYrG62KGNiAK2WSuWCsRJTILGLphygExMT+eHBgPTMAEBbzcYqL2PyCVAesNYayxSBrhq63OcAxRiop0IFqLX+pzF/c9fxfi+i9UCtRI8BUJoHX86NlXJjoQK0WhVjrEEedL8f6NknLADN50d7AGjq58I3mnwqZ8NvF57EtzXmAOWX6nOA6tiMIs0KFaDW3E3HBPgFR1FTBCvS26VGi3u0jkgpx8LPXI514UfGAlYxDVWlLjyheXHRHg/196D7/UCvPqGVmIpzw8MT48EmcqZ+LjyPQJtnGQj9wpOA26Btje3p8JcvR/s7JhWglrCkspeimQsfRMEerDaA8hC0VBgbGqOd5EqBASqtSE/o3NtrpQuggzx/FCgLn/aZSKvNRrN5trYSJABdrtdWas1VANSQhh3N06yUA9Qx3VIAtEUloCMUfpYKAflJhfSFNlRahfSuBE0cQOcYQPPjweqXhEZTDlDqwzcu1moNnxORRBRaW647NjbuS4BCqko5QG2klScXy3wvzjJNQBrJFYLOQ2IqFHISQKkLnxKAiiJQTsKAw6Dj9qXSuSsnJZF+Um80g0SgtZXlGuOvWQsKgEIeyghAGTcZQMu0lgij3xjRc6wclJ+Uv+/xIW9TAAAgAElEQVT4GcYYqNt+8YkE6PjoxOBgoBJQTl1zLnxq94WnOtCz9RV/W8oZojKmVSqEEpcCQCEPpR2gRhaeoY3qQKtlmsopABq0CpTPRGLd+Grbz6AsP61UEuRB9/uBnn0yl+cADapxawxUhJ+t1AGU1x9drC/7n8i5TFORVtjfZlPszdmfWXhIVVkAKEWGRhlTqVAojYyNjJQDD4AO8UL6kbE2gNLgAB8DLbv04ZMH0InxYrBVmEzlRRbeGgmdO+Lzd4w9Al1tNc/WlutBskgrzZUVAihNie/XOlBIVakHqLENJ9mXy+VSbiSXGxkZK4wF2w6Ji11vaKxtvJMAzcuY3AZBEwfQueIE+9MTQOcmUg7QJo9AA6nWoFIm2lO+2bczkSBVZQCgVpa8SmuBjuVYEFouB88g8TrQoRFngr9MSzRPTtIyzWkB6NxE0IWYbIDaqXgvgBppJn+/oqJ9cJ/QvvD1WqAxUA7QRtOYyQmAQl7KBEA57PYWGUBzQyNUhFSg3ZACR6CMlpyi4so0s6nENLmYli48A2hrrpcqpsFx2pJOKQK10kz+fkXP+3f7gE+fUAR6dmUlUBaeSp9sgK5evrzq8gPC+x0B0FQrQwCdZP3sEu2pWcoVeglAhxh/h0ZoXLVl7hBSKFXLNNPJNYuUQIDmJ8aDz+P0C9CW01LxV/S8f7cP+PQJQ9/q2eXlQIuJUBDa5Fl4MRf+cvsWH2H/jgBoqpUNgPIyo0n2pcDYOZYb6SUHzzTG90UyAEov1HlfTEkESmX0o+PBVqI3NTpRNLi4Txb+uIXYSKZ+Bs/Cs79na772hG9TndeBcoDuMYA2AVDIXckBqPz/0sf/+KNHj04efIR9fXCI0XOIJiP1pgePHr159JGjNx958BF688jRRw5OssuzA/Vn0cf9t32gN5/QSo/f+lZP/Bwc/e63jTXLu628a9zP8e67Q3j+iqoK6pOLZy9ePOtvS2NblLr/8cWL7CI/OXvz4uXLF9m1zl70fcuR2wdsWN4Xh/wpOQDt8V/m6uRBFjVWxyh87C3+ZPxlf/isUCorNRbJKz3Art8xFUlk5ZMVgVIoOJEvBi2iNwBKw6jG5bxmIh0/7vyxPn7F7vff5QM+fUJjoDeDrEdvArRGpfhMq81XL7c6dkkK93dEBJpqZQegi3vlcsnIvvcGUEpBjfDtlSjtzpdpLlXLByeNeinrJxo6ut+DrvYLhAnQIs8hBc8jFY0u/L63nNAuPK0mUv9xLegIKP9Sb/Jh0CavA3UbBk0LQKEolX6AmsWZi4tUxRR4EVCHxmg3pTItjVdgX2gktJQrFxhA23NIZp4+OQCl4U/Oz4mJ0Z5C0LwVge5zy0kFaCPw6KfFUGNN0FU+lRMAhdyVcoBWeYzIGUpJpFIhlwu8ip0lvpJogbb3LBlRaIEx9ZtUB1qyI1CrN3/UdZE7/QAV5UQTE3Nz+fHekvCDeZGFV7jlZGbhV4MtZOcEaI3WZKaee+oBii58lEo1QEWREV/ErkplTNTTLhQKvSaQ+Fr2BTH8yZBcoMi2lDu4KEZFTXAmEaAtvhvSRH443xtAi34AmsA60GD1n4aoDLTJB0H55koE0FXHAsth/44AaKqVaoDSoGdVrJFEZUzsqDSWC74OqB2CDvHN4UtUQz/GVyYpiC09jJwSHxe1sJkQgJoMmysWJ3rYzUMAVEzlVLrlJM5E6q0Dv8LoWVuhIVDKI736Kg8/AVDITWkGaLUskjqiYnNvkXhXGOs9AqXl7EYKZRZ7si48AyjDsg1Q/oOrreRFoA6AjvcK0LwPgAb6FRXtA/qkpwCUVK+v1I21RBov/ZTQ6VJKD4BC6QaoSJHzNwRQ6sKXc0M9D4GKCHSElsUby+UYPymHxAFqLQjaFoImA6D2rKGJYk/TOEnjHT34lAE00BT4DjUb9QZdq/7SqxykACjkphQDVASe9I4AWl5kEWgoSfihIb4dHQcxLc5MazyVaMFmPgQqfjR7R/t/8uHXhGThLYJO9Bh+Mo0Wi/5u2e+vqGgfzCd+NzN20coyrWjHu/A//WmziZlIUBdlCKCTtJZIOBox/hJJx/gSzeXSQXZ9sw6UFhcp0d6fBYbXR3w2jMgB2jM/e+jCh7sFSBCf+N8N3kUNms25SnM4V40kkvI9A6B9pRQDtCWSR1Xel6e56jQPKUSNjI1QQegYpeDHCmMPLNp19KUSxaXlXIHy/gkBqDVxvbe1lLnUs/Dtx2FvARIbQGu0PbzIHBllTMr3DID2ldIM0KpRAkq5eL7YR7X3BJKNz1JpZChXYu8YJgsMoGOLVg++XKCfWDKKAB5JxBioTa+eR0D91IG2H4e9BUgAnxDqQolAmwAotL+0AnR3gem5Lt8M8GDRIkl8rU5iKbMv97gKU5uqZVrYib2h0tJyNffNyao5+YjiT4p/OUhbj7htlBQDQI3+c7F3fqrPRGq/n9BXsA8I0N6SSLQG3urKcsPYGx4AhTykE6BXF7iefdf1uwEeLF5Hz6cKtcolmso5Fh4/R8q0Nl5uhCZ1lmhK58FJc/o7zVASNfU0BFp9MDEA5QphCHSwmFqActKt9oDPWq22wiC6UmvW67z+05gLr3zPAGhfSSNAry8snNzbu3ti4YcfuH07yIPFKcbgyZDGs/AGP3vNJRE2h0rVUi5XGCGS8hFPAqgx856X09OP5m8SBtDe1mESGp7IBwCo2hYg+92/+weUfcKXAu0pAhUYXV1t8OVEAFDIS/oA+uVp4icn6Mtu3w/wYPE5nBSClgqFHC32EVYWnlRiHfgxhtIxunyVVmOyfiwNfbaopp4A2nqw5K9hRFUHavIrBICOFvNBsvAJiED5rMveuvA0jb5eb/HV7BhA6frIwkNdpA+gu2bf/ar7MGiAB4tnkWg2PCNa4WBoZUzWasy5anlkqMAXp6dN5eyfWyrTMiPEbobwJESgR+wp6WF04YdT24Xn28n1NhOJAMqnca5iSw9oP+kD6FWz637dfRTU/4NlbAnPgdaqPvDNajkXyiCoKMcfY9diMehIgSeqylRIb/3gEo95mSgb/2ACsvBH7EWRwihjGkxvFp4A2vNMpBofCOj3TeWuDQzc46+N96G0AfSr18zAc3fhmdddDAI8WARPC6AHH2ARKKXNe97OI1coDQ2xi+VGxoz1mGij5EnH/dAa9YUcJeHLiShjsiI+BrAwyph6AGjcdaChdOGbLXsFJn1A9Guv2PKCAvTPzw8MfO1n/lp5/0knQE+Kd3dPWABdcCjANScn6Q/TwYPs4IHJyQceOMgX8+xNI99kl1hkl12cnJxcPHjwgW8enFxcXHT8YHbEvkd/FumgF7+EouPHHW/uH763Z4Aef/S45w/0uJPjAT8Zki5fZl+C7ob0Kn156aWVn14miWulXkEB+sVD//E/DzwV112nRdoAauaQQgToouAYe3Nwkmi6uHhw7JsMoSM9InRs7IGhB8RPmJzknJyUGEk/WZAzSfykd48euO++nmfDBwZo3BLMezUgQH/6IkPv5VdfevXVy9a1Ui83UF5k2g+g1wbuuTbw9X+L67ZTolgA6pqGD9C1qZqVRNSTnqQV6XO0nN1YYainNZlytHqI+SOsBZSl+0nQnkjOLnxrIp/vdTm7wYgWSNZUxuSYi+RvZfpGvU6rKTdWDen4HWPowl805QXQP31/4KkvHvrLf/TZzvtN8UagTgV4sMwyJiJp6SDNVWf0pGWQSz0BlH3epTLJ5X4SsytnO0CLE/miQGhQjo6mHaDNOidnrVb3M62z2WwwgIqrWIn3bAJUvHgB9M7A13725+cHHvbZzvtN8Y6BOhXkwSKAGUlyAijP7vCMz1hObMwRRA/S3KYwH3S/HwjgkyPOrYkmJsaL4/lekvE9/47xLiZCX+u1F1fqLKL0k1BqUAFUZ849ewC1wCkT1PGxM5SCv4Y00j6KJQsfUhmTNbWSglDTns/uZBQdCQxQv3PbEwJQe2uiiYliMZ/vIRk/3vPvGC9AuZoXxcbuDUWEis7+yoru3zGhAKUePCWSkEbyVix1oK5zOYM9WC5jlLRTZ1lM8lSnZsvYSSmKB93vBwL5pG1rIkIoO8zff9/4nEJh/fAw+3ix2I2eAX7HGAFq9b+ta3ohtM4XTeZR58qKTM8A95x4gNrY9AKoiD1ZHx5pJE+leiZSOu0jngufJXv4xMteseEFikAZOXkR/Z0BpJE8leq58Om0B0CV7eETL3vFhhcIoGbfnfXkkUbyUrpXY0qlPQCqbA+feNkrtjsJoCpZ+GsDlpBG8lKq1wNNpz0AqmwPn3jZKzY7V4DuUwfKAk9bSCN5KNUr0qfTHgBVtodPvOwVW50M0P1nItlDnwylWFHEQ8nZEwmCoAjkBspuMj9zxk6+X0MayUsAKARlWgEA6kwdffEQ0kgeAkAhKNMKAFDnBKQ/P480kocAUAjKtPwD1CwCFbqDNJKHAFAIyrT8A7R9AifSSF4CQCEo0wrQhYeUBYBCUKYFgEYpABSCMi0ANEoBoBCUaQGgUSo5AP0NZAg+kRXfc5l6AaBRCgBNnuATWfE9l6kXABqlANDkCT6RFd9zmXoBoFEKAE2e4BNZ8T2XqRcAGqUA0OQJPpEV33OZegGgUQoATZ7gE1nxPZepFwAapQDQ5Ak+kRXfc5l6AaBRCgBNnuATWfE9lxDkIQA0eYJPZMX3XEKQhwDQ5Ak+kRXfc5l6oQsfpQDQ5Ak+kRXfc5l6AaBRCgBNnuATWfE9l6kXABqlANDf/OaVgYFveJ/Qq3h98q9/P/BX/2QevDLw1/9svY3TKfE9l6kXABqlAFAihgMZbic0K16f0G9vkdIGaMxOie+5TL0A0CgFgP7m19/5D/9p4HteJzQrXp8QKa3f3gZozE6J77lMvQDQKAWAMkh8w9FTdTuhWfH6hAPUjDVtP8TslPiey9QLAI1SAOi//N3A9379nb/4h+4ndCtenzCA/s/fMTvxFjPjdkp8z2XqBYBGKQD0LRZuMWj8bfcTuhWvT+hXf8XsxFsAjdsp8T2XqRcAGqUA0B9RtPWKI0EindCteH1CmLQy8RZA43ZKfM9l6gWARqm+Byj1TSlFYiVIpBPaFa9PeJz5a6MTbwI0dqfE91ymXgBolOp7gIqoilHDzpZ0nNCueH0iOupGJ94EaOxOie+5TL0A0CjV7wBlTOCh1lsDRoJEOqFf8fpEANToxBsAjd8p8T2XqRcAGqX6HaBmr5T1Uf/W/YR+xesTI1UkOvEGQON3SnzPZeoFgEapfgco66qaMtMmHSf0K16fmLl23ok3ABq/U+J7LlOvwAC9NjBwj/cJqN8BykIqW99zOxGD4vWJCVDmib/6JwHQBDglvucy9QoK0D8/PzDwtZ95nYD6HqD2oB6DxDfcTsSgeH1iVXu+NUAFoQTQBDglvucy9QoK0C8e+o//eeAprxNQ3wP0R87VhogS0okYFK9P7HL5Hw38xf/C3ZEAp8T3XKZebqD870z7AfTawD3XBr7+bx4noH4HqDMp8uvvsPfSiTgUr09sgPKeO0NnEpwS33OZernj87+7MtTxsT99f+CpLx76y3/sfgLa63eAOqfW8MId6UQcdxWvTxwTNt8SAE2CU+J7LlMvV4CKFy+A3hn42s/+/PzAw91PQHt9DlCzvFGI4eJ/7TwRS8YkVp84Acr67gygkpficEp8z2Xq5cLPzjduAD1DGfdrjqyRdALa63OAtk9NZD3V/6HzRCwZk1h90gZQ5oG//mfJS3E4Jb7nMvUKBlDqsFPeyMoaSScgUl8DNKGCT2TF91ymXl356QlQEWqyLruZNZJOQCQANHmCT2TF91ymXoEiUAZKXjN/Z8DIGkknIC4ANHmCT2TF91ymXoEAanbVWcf9YfcTEBcAmjzBJ7Liey5TLwmgKln4a/bUM5E1kk5AXABo8gSfyIrvuUy9XAG6Tx0oizNtPeV2AhICQJMn+ERWfM9l6iUDdP+ZSPZIJyPnPW4nICEANHmCT2TF91ymXm6g7CbzM2fsXPs1jk7pBCQEgCZP8Ims+J7L1CsAQJ2Zoi8eYu+lE5Ch5AC01SH5jKGb7qdTY7/vB/rQJ13s3XwC+VQAgDrnG/35eXYgndD+WyRVAKh2ewBU2R4ADUH+AWrWfArdGRj4vzpPII1kCgDVbg+AKtsDoCHIP0Db52uy7vv/2HkCaSRTAKh2ewBU2R4ADUEBuvCQsgBQ7fYAqLI9ABqCANAoBYBqtwdAle0B0BAEgEYpAFS7PQCqbA+AhiAANEoBoNrtAVBlewA0BAGgUQoA1W4PgCrbA6AhCACNUgCodnsAVNkeAA1BAGiUAkC12wOgyvYAaAgCQKMUAKrdHgBVtgdAQxAAGqUAUO32AKiyPQAaggDQKAWAarcHQJXtAdAQBIBGKQBUuz0AqmwPgEIJFwCq3R4AVbYHQKGECwDVbg+AKtsDoFDCBYBqtwdAle0BUCjhAkC12wOgyvYAKJRwAaDa7QFQZXsAFEq4AFDt9gCosj0ACiVcAKh2ewBU2R4AhRKu5ABUrun1UwGcfnv7A/CJ/IH4nksI8lByAKo7ukEEmnx7RKBQwgWAarcHQJXtAVAo4QJAtdsDoMr2ACiUcAGg2u0BUGV7ABRKuABQ7fYAqLI9AAolXACodnsAVNkeAIUSLgBUuz0AqmwPgEL/f3vnt9s4kuXpxGIvFo1Fv8jszEPM3T4AK6cSoOmwmVpggZwMQ9c5k1dEYzEwVPUY7qrFDuiCEuCFX4AJliRm2rDbk5tbfpCNExH8H5IoipL45/d1pS1RQVEWmh9OxIk40XEg0KO3h0Brt4dAQceBQI/eHgKt3R4CBR0HAj16ewi0dnsIFHScAQn0aT6f79IeAu18ewgUdJzBCHT+RAI1ObRrsoBAa7eHQEHHGZJA5S8IdEDtIVDQcdoR6LP1PnsoeFPnWYn9brb5XLevGrRrsoBAa7eHQEHHaUWg3z+kAr2xJK9/2fqszH43mxCoGgOFQAfUHgIFHacNgQp/JgK9lY++vbN+/G3Lswp73WzCnXoMNIBAh9MeAgUdpwWBCiUmAk1CUXHo4+ZnVfa72eaBHgOFQAfUHgIFHWd/gYqO+T/9ixboc9Zbf7P5WZX9brYg0O2DoObNCYF2vz0ECjrO3gIVAeX7P37SAr1Juue3ZMtNz6rsd7MhAt3pM/SkPQQKOs7+Av3n314SgYrfOrh8tn74edMzwxvtdbNhDHS3z9CT9hAo6DitZOFzAtXJpG/vpDLXPtMnWjn2+whPT+I/8YMeAADAUWhVoNl0JpLkpmf6xFYFWnoAAAAH5mACtT5uemZ4kz27e1iJtMtn6El7dOFBxzltBJpnz5sNa+F3+Qw9aQ+Bgo5z2jHQPHvfnKjGVP8z9KQ9BAo6TtsCTTPtr3/Z9MzwJse+OSHQ7reHQEHHaVWg+bme4sGmZ1WOfXNCoN1vD4GCjtOuQE+3EqlH7SHQ2u0hUNBx2hXo6dbC96g9BFq7PQQKOk67Aj1ZNaY+tYdAa7eHQEHHaVmgJ6sHiiz8Tp+hJ+0hUNBx2hboqSrSYx6o8S1nnudtbe+ljSBQAHYCeyIdvf3xBOrNSKAmh+baewm7vz8ECsZO7wWqg07siWRACFT+2ibQtBEECsBO9Fyg8wwItIzn6fZVg37KNco9gEAB2In+C1T+CuY+BFqmrkBV/x0CBWBn+i3Q1JbCoBBoCWHE7QJNR0A9DoECsCsQ6Kb3P0j7jkWgXI+BQqAA7EyvBZrJUm7pUTy07eYcukBFTMl1e87LCs3ac557AIECsBO9FijpUmXhsz2RIFCJ6pVPpzS4Sf4sTWZCBApAG/RcoIFOwVMSCSuRcqi80GzKKRDl6oipPcZAAdiDfgvUD9Q28PSzazf/SQWqbfkyE/b0isdK7ZGFB6A53RHopxLVI1XuPt8pPt/Var/r+x+zfXbCft+J5Ppat7++1g/TY+aW6kEfvhMAOkR3BNokWsmNgXYuejplBJqtbVcDoLKrzgsRaDooipVIADSm1wLNZ+E7d/N3ogv/4grkMKjn5XPx19kCeKyFB6AxvRZobh4oBFpAj2zOZiRQzl3KI+UT8de5sBPVmABoCgR69PZHycLLmNObXjKKPJmrw89ElN61blaaH9q17xACBR2n3wJN18KLn5jGlEd12qcT6r97LhP/g0ABaJ3+C1RPn8dE+jyqC8+nM9F397grO/KZQD0vaV9aowSBArATPRdoWg8UBZULSC163svM5b5KH3FejED17HleWKMEgQKwE70XqAb1QPMkkeZs6pIeucspleRlAr3S+nQ93VppFAIFYCcGJNCnZEZovZtzyAJN0uuzFylOjzlMZuOTwiH+lUrL6wOeXiwv2jf8yAdqD4GCjjMQgVIxkccgCOZz+jff2n7X92+z/RHngc5mjAltukKfPC9QFYEKtfKkkEgi3IYf+UDtIVDQcQYiUH8ePj7ScGgYBeVc0hgFqtcXzaacO47owVO2SA6H6levdfipDqRiVXsoNfjIB2oPgYKO02uBpil43w9ClUQKolC90vrN3DuByon0nDOml3NyXsrCex4ECsBe9FigsoxdEIYhxZxaoOJ3oF9s+2bul0CVQkV72YGXqaJ8EulatdDZ+nSVPAQKwE60KtA/frJSfvwt95yeCJ7p8Zs1J+98s1HoGQRq4DMMAjkPNIBAC+1noqcuhz9VMZHSRHpdYAQCBaAhBxXo9w8Fgd6oJ69/MZ68680mU+6BrMfkz8NQZuGDuR9AoLn2M9mTFzEoLwhUr4VPpoFCoAA04zBd+Fvrh5/Fr2/vdOipD1rv6ZiVP5ix681GipS2lA+iQLanGDR9td2buY8CFUIU9mSu+CcCUS+bxpRUY1K17tKSdsjCA7ATBxGokOR7+v2c76+LcPS9fvGj6aQdbzYdgOpHoueux0CDefpyuzdzLwU65S5zHNexHbcg0KQeqJcKFPNAAdidgwj0RgeZt0qZiuek735jHgbd9Wajnnsm0CDQ05jCtLpIyzdzDwVKK5GoioiQKMvNWvITgeZKgWIlEgANOIRAny0dY97IjrwmsarQqnEUdNebrdiFD/RE+iCYYx6ohAumZ6L/7styIum+R5JrvZSztN0cBArAThxAoH/8pFX5/cPrv35I8u7iqA48n628V1N2vtnUbpzzpC+vkkiGikyjFCjpkzviy3eYy5jHHDneyQtJpNyuHju//3HaQ6Cg4xxAoGkA+u2dleXdhUB1f/7bu1SgVo6dr/MkeHi4f3h4FL+entQBSUt/SJ+ZTqez2Zll2eeXl+dnl+eXk8lkNqOD9Gr6M/8UALArBxDoTW7ap3wkDyQ5pPYESsZ8IIRDH8ibj0qdECj5U/y7PLu0bWHQyZn4N51MyJQ5Y9IPCBSAfWhfoFmWPRnsFMHnx4JAjWn4Jt09mjhPHXdKJr08BslRdOFlHWXmXJ4zxxa9eMZsvbWcrl1XXMqJLjwAzWhfoIYcEeXdjRFont1vNll6iRZzqmpMD1Ew9zEGSlByiDOXT84dhznCoZatdpeT6aTyUk4IFICGtC7QLFmUcSv68MYx0Dy732y6dl0ogtAwCB4eQloXryraHeBm7pNAqfgSlRGZTWyLYlDLYh53GKcpTZSP59e6lUtpeGThAWhI6wIVkWalg64FmmbhW5nGpINNikADuRb+kcLRIJ1f3/bN3DuBeoyJCNR2LJty8ZSMd5naG8nzrmX0qWqEcggUgIa0LlCTHkmg+XmgxrWcO99sVEskJIFGYRhHwcuTngPqlzrxYxSoT3sZu+zcEj/VIKjQqHjsuUzujXSlZoEWpjbt9P7HaQ+Bgo7TukAzPWad9ht6cICVSFKgciA0orXwQZgUU4ZAhUBpFqhlM1f84My2bJsCTtfRY6Bqlzkity8nBArATrQu0Jweb9MJ9TTo2fJaeNmFp2J2pNFIRKBPT6HswwcQqE9WZNkMMVv40xI9eKoNKmyqkkipNyFQAJrStkCzsFOq8s1LllZquRqT6sKTL6MoWsXRw6P2p+9DoMKKrkweSWQaXu+NZFs07nmd0yYECkBT2hZoIYf0rG9gHZO2Ww9UlZ+XxejnYRSFsqCyHv4cvUA9j1PO6DwfhVJJO5c7DvXe10Wgs9wm8bt85AO1h0BBxzmoQHWF5fRAuxXpaRpTGFIayZ+HQfj4KJPxFX+OVKAy3z7JBOow23ZpRr3j+9wtCJSna+Jns6Q6044f+UDtIVDQcXq8J5JPo59hRAkkYc7o/j6O44gmhc5HL1C9kYd7aedCUJrN5MjKoC4JNKmizHlW005VpIdAAahJDwV6lxNkEAhrCntG4erhPhI9ehLoYW7mPgmU6tDz/CCo/s0oDKVc0pWXVlHW2Xg5MVS/f9WgECgAJnon0Pn8Ts2fl5GmcCeNfwqLrkQXvjqJvsWbuVcCFY6k/vpZSaA2sxxZmf5KS7NUkf5lygt1l2t/5AO1h0BBx+mjQNUiToLWIIXRSoSe8er+PpIppaB8xhgF6tMuSMzJOu/6kUWz6cVr1/kUko5ERWQ6nco6oi4ECkAt+iZQ0UH/lNVSDoMwCigIjVfRw5eViEXFE3ThBWRJKy/OZDoo9zzXZp+y7eSSwVARl7rTCa1MchkECkAteilQGuaU6XeqHiK68PNgtYweH2k0dB5G5U78GAUqPOg4uQwSjX9atms7jpxNz94mqaN8WXpmT6dycbzDyp14CBQAEz0TKKnzk693jwtUAj4OxZM4fnyStZjU4qQD3My9EqhPY6COlVeo6M/bDqMhUBGDXqS7IWUC5cyeTOQCecYhUADq0DOBkkE/h7Rmk6Yr+UKespaIIJJZeLmSMxh9PVC5J1IpAlWTQeUmndy2VRkRqiSSZuFdh82mlGHymFvOI0GgAJjonUDD4LOuv0TWXNKoZ0xjn6v7+1hm5CuJ+DEKlHJCjlMVqDhIO8RTZSYm00U0XaP0zKIAACAASURBVJSkSZEnYy9T2bN3IVAAatE3gfph+DtZdLVcLeN4sVisJHG0Es9lRWUI1FcCrQagsiKow1xXPhSO5LJAKCOHknFdOZEeAgWgLn0TqOi6f43iRRQLgy6kP8XvOI7i+H4VB2odUkGgNG+0lZu5TwKV+SFmWWc5e9pyPbzj2K7rWI7QJaMF8w6X05qoMy8eTSeemoRfqBLa4G+EQME46I5AP5WoHiE+x78LZy7InvT7qwg+v8aff18u4scvX3//+vnT3ee7u7u0+V1C9Z3M77+eQ7fPTtj1OzFwfXV1dVHqvguBXlyQRh3bvvp0fXFxffX24q344VxcvL26evv24mJ6Lh4LrsT519c7fOSatPGdANAhuiPQWtGKXLpJo57Cn+JBHIfxKl5F0XIV3X9Ra+ELOyLNk3mj+0dDfYpAfe56rNyFt1V1ZZpYz65oNpPcZ07O/3TkeCinLUBoFzqW7TfX8G9EBArGQc8E6sfL4GsYRUG8WIre/IqiUOFSmgx6fx+oyso5W8qHn3yjQQctUJ+xShJehKCUPrJomzlH9OMdKs/E5S5zTO40x6zLCW1FRz16r7igEwIFwETfBLpcBF9F0En5o5hSSUKfy+UqjuKA6oEKj8YhBCrkx9xqDl5AESgNgl54XEailIVnlEYiYTo2LeUUj91kkmjjvxECBeOgZwIN48VqFURRJPNH4ZL0GavpS1QPVG3RmU6kV9oco0BFHGnyZxKL2hcqQHVcuQReBKJ0EnOmUxl7cggUgFr0TKDBciFizEhOYJJQNmkZBeFqeX8v59EXJtKPLwLVhT3TQiLVqUxOUptJdvFldTvHlll7JuuB0uwmCBSAWvRMoP5iMf8aRct4mRqUYtGl+PnwRZhV7idXCkFHJNCkLJ1r2+sEms8qEQ7FqjZTS+CnECgAu9AzgQY06XM+zyLQjC8r2t+jKNCxZeGTIvPudnuKANRxGZNl6i1LTqV33ameSM99H1l4ALbTN4HGC6HQ1WKViXMZrXQ4ugpUCr4oUFWAef+buQcCTZzHN4efTPXdGUWfcl6oZdEkJs/jl5e+mkjP032Smv2NECgYBz0TqL9aRMuk+y4tugzDlXxwTz+ikkDHtRIpqavksqwIvSH0pJdotqejBcodWzzjnu/SNCaq4wSBAlCLngl0HomAMwjzEWhuMHS5WAYjXgufBqCum6tCv74LL/eYUy1tsqnLp5NMnRAoAFvpoUC/hrHBn+RU4dAorGzqMRqB+rqyvFudRF8Dm7kyC895WmG5+d8IgYJx0DOB+iL+/GrIIAkeHik1H0aVbTlHJVCZg9/Rn7TRhyMz8dOZ3KXTw0okAGrRM4HSNnLG+FMI9IGOR+GYN5WTRZKNlexqSNRm9uWLp3blLO/NCYECYKJlgf7xk74hf/xNPn+mx2+SV4vPStS72YJYdOFN/lw93FN2KR63QGX4uGsEqgXqONa5qkivdovnECgAW2hZoN8/FAR6o568/uWl+qxMvZstiMPfI2MEuvpC2fk4HHEXngyqptHvLFCL1nVa9hmTazvljFIIFIBttCzQb+906Cm5taz3dEzptPisQr2bbR6Fv4uuumEYVHXsi9WY2ryZ+yBQGT1yZtjMo0YEasspTeJs14VAAahFywJ9zvfQRTj6nn4LZ34sP6tS72YLovDrsmrPjHi8m8rJ4U8qDSIneu4mUDW5fnLJPV2k3uUQKADbaFmgt0qSiues7/6m/KxKrZuNdi2ONwl0tRq1QOVOm2xtJZFtYej5GRW4kwKVg6GN/0YIFIyDlgV688PPuSdJZ/2W3Fl8VqXezRbQFvDGQVC9Lol2iS/mkcYiUFWGiQrMbyplt9mgtuNSF56m0/seBArAFtoV6PcPr/9KaSQZYv7xUxJqPls//Fx8Zji31s02FwJdE3vK2srRPIqCaMQCdanUfIMA1Jad/rNzl9MSeZmC93KrOSFQAEy0K9Bv7/T9SDGmUOb75LAUaO6Zbp+/hWtd4OnJPAlUO/TL48vDw9P9Q6t/VE+YzV5eptPZdHJ5Zp81msdkWefTl5eJbZ9NxbuJ96O3BACsp12BPuv5S7K7nmSNlDKLz3T7XQX69PRoWgafdOGX9yMWKOlO6FM477y4n/EOXF5OZlPh0cl0MoVAAdhKuwJNhjdFuPmxIFDrY/GZ4dxa3b35amGeBarGQOM4WoXzKDxEd7IHXXg198hrsBDJUnn4yaXDbMtxZBIJXXgAtnGgpZyUaa8RgeapdbOFi2X4dUMaPo5XYRiPcwzUV8uHuFqI1CgRPzmnWncO85RAszw8BAqAiQMJ9Fb04WuMgeapdbOFi0X4dbl+HDSUu8aPVKA0jZ4q1FV2hK/N2aXlurbc68P181kkCBQAE4cVaJp3f/1L8ZnhlFo3WyCCzDX+lGFpHEXzII4KE0FHI1DReedNCtnlBcooiS9+2DIETQuKQKAAmDigQPMzPyvPqtS62cLElOYx0EVM+3JG4WgF6soItOE8ess+o50+5F7HtsXyFZkgUABMtCrQrJt+Qw8OsBIpWNt51xYNw2AeFpfDj0qgVBa5zpZy6wRqMblBp0vFmcQjVxenv/aMl4VAwchpOwuvgsvvH2iYs/218PPQXEw5l0WKaFfOkQqUM0Zz4Jt2423Xtl3XpUSUQxvIUy7JU0Oh1/mUfO3Ps3d7CBR0nNYn0lN0mYx3tl6NKQjXTWJKBSpC0GikAvWoEgithW8agtqyKqgr3saSex4zpnNJ9P4QKAAVWq/GpNCd9Jbrgc6DjYWYpEDn8yjyxylQqsNECSDWdC28jlyFO8VDIVDXsZiKPJOlor5fSM5DoGDktJ1EUiXp0z56yxXp162DzxEFI41AORd9dzvnwaYSdWhPOvHPdiiU5TIXf53ukeQltPqdQKCgn/RqT6T5arltDHQRU0d/fFl4j8qI0ARQ5jSrR5/p07KpB2+LDjxtj+zyZAyUJwJVvzZ/ni1/Ys32ECjoOP0SaLxuDtMind1EY6AjFCin5A8j++0TfpIvHfkWjkOF8bhluWRQOQYqBZr23uUDCBSMnD4JdB7HWwPQVRAEI6wHei1k53su9bn3M6jQJlM7zHGX+5zmhXL9keW80HR1JwQKQL8ESqVEtvbgg4CySAe4mTst0CuXiojQ/KPGk0AVjpuUIhF9eJdZTK6KFx+Zdguh1fGc8ywUhUDByOmVQGvkkJZRGFISKdeJH4FAvSu57pK5fqNqynmBytNlJ54xzmxX9eXf0kYfXP6TNUY8CBSAl54JdL61B79YrlaUQxqtQG1rnxxSHkrCu+IHc7nrvnXVhvE0UqA2T5ZxKAQKRk6fBDrfNoue0OFnzqAjEKh/xX1yWvM6TAVUFGozmldKMSfn12r4U247T7slcZWcn0GgYNz0SqDb59EvFuEoBXpNlUC9xpvJlaB5TDSRnqaCigjU4+5bOcTqK4F6tG2nHAeFQMHI6ZFA50GNMdDFMpRJ+JEJlKYxufuVssvhuA514akkk+jGOzQtlOnxTzmhXuhT5eJns5a+EwgU9JMeCdQPtpYSUQpd+aMT6DVtZix73nxvizqWQwWdbMonURdeRqIul+l4NYlJZpEICBSMnB4JdB7U6cILgS6D8QlU9N9JePae00AJ23I4BZ1SoLS8yaUjPqdCT7LnTlNOIVAAXrok0E8lqkfuvtbx52K1WH26uyueeVc6YHz/zRy6fXbCLt+J4vr66urtxX4TmMo4FxeW/fbq2rGuLmzn7dsr++L66u3V1TVd7FpddzZr+CfufMLp/n8JwAa6I9Dt0UqtLLzcca5QTeTTPGGvaKjLEah3zZndrj8tWUyEU2afOewtZaiY59GB3GZziEDByOmVQLcvRFosItoyqbgWXqtzuAL1vLes8T4e6/wp00cuLewUvfgLWhdvq2vJWfSqogiy8GDk9Eqg2zb0kAJdlQV6lzwrGnRAAvU9h/ZzbysJb8mlSDQLlObQWxZ3nQsRd9pOdj0NBApGTo8EKgLJOgKlPvzYBMrstiYx2XoSvW1R/t2xHaoL6rjXvs9tlruiqgiKlUhg5PRIoPUm0tPunMu8Ked36aPBCpTTTu4t9+EZ92hmlEztO29pmw+Hp5WUt/2NECgYB70SaJ0kErEsnDb8CNSTFZRam0cv5EkF7eRKTtmZt2lOk031mWhdUs6hECgYOX0SqF9LoLGsSp9jDAK9aM2dEkf/s6hPT6GtY1MyyXXlrp8ux55IAEj6JNAaxZhE9BnHi1VhztLgs/DtLYLPO9RWJqXwUx9wXFoGryqCYksPAF4GKNDYDxbLwrzPgc8DpeIeLVVhKhmUeu+U3JcCZa5jc9p6XlYFTfZEmulJTeUtjyFQMA56JdA6xURWcaiTSKlAZQJ/Xn63AQnU423LM3lAYrZJzzbVBhWedB2ua9NTWZHZTBWpLyeXIFAwEnok0HmteaAL0YWPkxPavJk7KlAhLrn52wFiUCv3rrZMKymBkjwTgdIHUFt88LxDIVAwDnok0JpZ+NViXAIloTlWy3OYKji0Z7LDOWOeKq0su/Hi86gCd77a6MNLNAqBgnHQukBv6XZ7ox7/8ZO+/X78TT5/zr1WYfvNVnsak95UbgwClZ1nZre6DCmHrX84ajCUUT/ep3KgVBOUZwLlrss8XbWegEDBOGhZoN8/qBvvh5/zz7RAb9ST178YT61xs9VZCy978ar5GATqy6T4oeNPVaNezmliIgqlDZIYY1x8HhlvugKhUJ4UDIVAwVhoV6Ai5CR1fnunlPntnQ49JSI2fZ+9VmH7zVarmIhEmXM0AmUtzqFfI1AuDcocucZThJ/MYcKhUxWByh0+PFktVFcZud7xO4FAQT9pV6DPOvQUlvwon+b66yIcfZ97rUKNm61OFl4SBkFuGpP6Vc7ED0Ogoi/N+CHmgZZglurCM4fmg7q0JMnnWqBqZj2l6F0IFIyLdgV6o6NLEYmSOm+VMhXPSd/9xjwMWuNmq7cSKRYCjYRChUSzm7M6F3QYAvU9uX271fZKeINCaX8kKkzPXJvJyUvcnUxInA5TuSNKLKndPiBQMBLaFuib/IMbFY8mh3TX/dY8ClrjZqvVhad6oKHwZ7ELX12NNBCBukx24dsuB1pGbTAnrsddRhXu1Oack4mIgB1HDYDSZ0ly8RAoGAeHmcakuuvfP7z+K6WRpFR1UPqS9fNL1LjZanXhqZEONZUuP/k5cWYGHYhAfSZ61J5cNnRIGGWQmMyz035JentjKVAuIlCaxSRl7qp94yFQMA4OI9DnJJekoIhTCFT357+9SwWav0W3v+vTQx2BUpj6JKATntJTn8oPhsLs/HJydnboJJJl0yUm0+lscjmd2GezqWA2m0xndGgym9GD6bl9KR6KJ5PZqb8WAI7CQQQqAlDqrj/r+Uuy857kkPYRaL1NOQ0CNZh0MAh9HtqeBF3Evjyzz86nl2dn08n52aUW6MvLlIw5mVwKl5NjIVAwGg4hUOFKOcqZDHaK4PNjQaDGNPzW7t483GEa02i68HIW/bGgoqC2rBIqcLl9NnUpnUTDsOJoskrJ9/nVjt8JuvCgnxxAoEKVpUFOSikZI9A822+2uguR5BgonTAOgTL34Bl4hcuYRVt0Sn3SfFAhUMrNc+7S3h/ccynL5EGgYDy0L1BaflSKMG9FH944Bppn680WRLUNGgZZAFrIwgfZhscDESgXRjv8NNCkpl1SadmmWNR1LyfclfXtGEvXx1M2CQIFI6F1gYoOesWPWqBpFr7ZNKZ5VKceqEROAp1rW2bzQNVh7dJhCNSjMvHOkUJQtTSelj3R2ieb88m567k0P9QV8SlFw674H/O4iyw8GAdtC9TkTynQ/DxQ41rO7TfbLl34RJWCbCVSkO/ZD0SgNLHdPZY/5WABTduXe4By7/KMBEor4W2LieBTrlWi5UoQKBgHLQtU+DMNL7NO+w092Hsl0jyslYWXAqUtPBNbpjdncSB0GAKlAp3+oWfRZwZNHjiqC2+f07x6x6FiTLTfB+WRRBfeZRAoGAftCjTJvyuSUPP7BwpK918LX6ueso5AfVqKJDFsazwogTJ+rCRSDhFm6njUkfl31xFRqMdsrpYisbc7ficQKOgn7Qr0ttB/F6qkWDMZ/dy3GtM8qNeHX64RaJaAH5BAhawOXorJgE25eJm7Inu6Hqd18lyEolxOY3IhUDAOWhVoWv/TUus3n3OPX/auBzqvtSeSjkDnQRpuDjoCFd3m48efGbbNbOb5nFm0IJ4eSiBQMBJaFWi6dtPKFsBbuUlNe1WkF9arvRJpPF14VdvjVFAlfMeWu86JgNS1bf2pIFAwEnq0J9I8qD0Iao5AiyWZBiFQj3vuEWaBGtVJM0Jtz6MHJHGa0O8kde0wDxSMg14JtHYWPshqf+ay8MWioIMQKKdNhk/Vh3ec83PRcVcPmeeRQZmskM+wpQcYB70SaF1/Lqj7Pi/NA1XvMR/USiS5JefJuvCi/37OKAR1mIhFGZUlpQXxjLsuBArGQY8E6tdeiJTuiZStRNr/Zu6mQLlHi9NPxoTJ7Y6ZjEFpaqht244nuvC5PeLrfCcQKOgnfRJo7VlMuqDy8AVKW8qdNAt/mayCsqmqM61SEgJ1mXMlCy7X/04gUNBPeiTQHbrwctWmqQu/x83cSYHK7eROMA80RRUycVxajiRNrpLylESCQMHw6ZNAa08DlVl4VZHJH7RAj7Aj/BaYrHEnlyOp6QCObbmOdUGfrmpQCBQMjB4JdIdiIqJxEOpsUW4ak3o+oCw85ycc/5SoPelVDCx/2rYsekefDgIFg6c/AhUxZe1pTLRqKdT59qJAs5lMAxAo5753Un3SUvhSDotCURsCBSOhRwKd71TOLkz2ha8IVP0aiED5icSZ4GT7gZJIHYpDKbFEHw8CBYOnNwKdBzuNgVLt+UAVUM4LNLeas/8ClTsJn9KelioOKh+owdikFw+BgnHQHYF+KlE6cvf5rvaecgvZ/PPvv//++bP4eZd7l7v0QfWKmzl0++yE2t/J1dvrq9O5cyPi011fH+Q7AaBDdEegm6MVCifrDYHGCzUPdB5GYUAnfp5n75KraNf/CNTncu5lJ8E8UDAK+iJQP4hqBaCrWApUnBBGeluPu8Bg0EEI1HNPt45zC1iJBEZBXwQ6D1c1V3JGOgINQgEtijcLNHh6mvtG+iTQ05RiyrPmA+z4nUCgoJ/0RaB+/QySFmgYzKsRaG57YyHQrLJIjZu5ewIVUd7pA1AIFIyZvgh0XjuDpAsq+yICVZvDlwWqNjiWXfh+C5TK0R/XlvXZ8TuBQEE/6Y1Aa0efwrRL1YPX80A/BwVNJhVB5fubDNofgZ4+/lwL7S23w3cCgYJ+0heB1i8kIoh8GWOqmfTB71VJDkSgJx8AXQ/tMVd1KAQKBkZfBFp/FRL14qUZ5zKLFIRVgWZ7IvVZoF6HA1CLe75hIhMECgbG8AQquvArX65ckon4ILgrv/MgIlDafb2zI6CW5RkNCoGCgdEXgdauI7JYrmQ1JhKoL38PUKDCTLSbXIe78NzlaoO5DNGnn0KgYFj0Q6DzoP4yzuVyu0Apk9TfLDxFdrSbXJcF6jLO3bxAabM5Pp3S+v36XwkECjpOXwRa359xFoGqGUtrBNrfeaBy52DxX4d78BaVWnZ4UaD0+SFQMCh6IdB5UHsa/WoRR7SUM9sTqVxQOXnP3q5EIitJM526lN1mbNtyM4EqcYrPnzeoKyh/JXJ0Ij0PAgXd5qgCfaYb682aFzcIKIx2SMIvpUBzizbNAm1PiMcTqDebJfKkH90WKO3UmQ9A9Z+YCdRNyH0lcnCCyxlQ3prvBIAOcUyB3qg76/UvxlfXC2gehlHdEDReBdFiNUSBklmEQD1lICnQU+4mV4tSAFoRqPrlFwSaDFBIh0KgoNscUaC3lvX+5eXbO+vH30wvrxdQEAW1pzGFcRwvYrWGc0ibysnQzJ1OOZklOdBhgdqyxHL2+asRaNJ7lw8+JX+lrsIs/kgZhc5mle8EgA5xPIF+/0D+lAb9aHp9vYBqCDRerpIHUbiKtEAHtK0xSUknjRiTGyF1OAUvcG3H3VOg9AACBd3meAJ9TvruN+Zh0LU+CUKqrbRZoFG8lFPoF3E8D+NAnaiz7AMQ6Kl1uDuu/C/315Wz8Kk/cwJN/Sm3y6NHLzOv/J0A0CGOJ9CbpOt+ax4FXS8g2uJ9rvy4jtUqfRCGUbCTr8p0U6CO3jpYrd90uh1/UrRsVwRanAe6MQKFQEE/OJpA//gpCTyfrR9+NjRYLyDa4n1eo5xyvFrEVMOuNLuz/wLV3XbHoU3cOA0wMkvufdllbNtyCn9faSXSJoGqhaA+BAq6zjEF+l49+vYuFWj+httw7uPDw8Pjly+b5Ln6snp4vP/yJFo/PR34Tzk6tn15PrWs83PLujwTD86siWVNLk+lxnqci0+58a+aTCbqV+7YTPIym9JPdeBg3yoA+3M0gSY5pKYC/bLcIND7h4f7B6nZJ+LQf8uRse0J+dMW7rSFliyZ455OpqcRY10ml+eb5TdJyB0T3pwSkykECvrASQRqTMNv7AIHYRzPgyQVX0zJx4tlFMXRw6PawmPnHvOx2zfpwrsOV/utOzS0aMscTae78LbDszTRuu9kw0okPZEeWXjQbU4bgebZJiDaY7MsUDkwGlDiKAgen8xL24cjUMJx+iFQh+23rbFyKOaBgo5z2jHQPNtutoAoDXzSj3kc+TRl6emp7s25683ccvtmWXhd/FNn4Zn8dfpqIuum8l/vv62xh5VIoPucJAu/4zSmhIpAVTgaRTvfnCdtP5x5oLZ96XDHsW3u2I7NcuX1WvoOIVDQcU4yD9S4lrPmzWa2Z4Obs08CVQplSloelyuR3PRHyWrrbLdBhOmjS9txXFaYZerKCUmOnEiVfw8avqRPWKw7T6+09x1CoKDj9GAlUs2brTft29tUrvln6El7CBR0nD6shT/MzQmBdr89BAo6Th+qMR3m5oRAu98eAgUdpw/1QA9zc0Kg3W8PgYKO052K9GU2rk0aYPs6J3TtM3fhOwHghHRnT6QyXbuZuyCLrn3mLnwnAJwQCLQr7SHQNk4A4KhAoF1pD4G2cQIARwUC7Up7CLSNEwA4KhBoV9pDoG2cAMBRgUC70h4CbeMEAI4KBNqV9hBoGycAcFQg0K60h0DbOAGAowKBdqU9BNrGCQAcFQi0K+0h0DZOAOCoQKBdaQ+BtnECAEeluwIFAICOA4ECAEBDIFAAAGgIBAoAAA2BQAEAoCEQKAAANAQCBQCAhkCgAADQEAgUAAAa0imBGjed27AT3bqXntUO9PXa3+74/jfrNxZd+1Fv61/gj5/U3qXJ5s/4TqrfCQBdoUsCNW57vGEv5HUvff9gloWpvWgr+eHn3dqbLrD2o357Z5bFpgtoWeA7eal8JwB0hg4J9FbeguLGyt8mxoObX6LbzXQvm9qL2IY0Ufv9RXu6tcVLH+t9fn3SmhjMcMK3d1v//JF/JwB0h+4INImRxM3zcfPBzS+J50ZZGNs/6zCr7vsn7W+qd//6j3pr7sSaT3jON8V3oq9g7u0DcGq6I9DnpNuWvxGNBze+JLqA//QvJlkY29/oSEcERLXeP3l8W43O1n7U7x9e/6t5VNJ0wm3+s+M70e9sHr8F4NR0R6DJfStul2wAzHhw00sidHkv7nzDDbfm/d+UHmx5f41BFmvb31gfDcHZuhNu8iOP+E7UUdNoLAAdoDMCzeKd5yx7YTy48aVv//zbi1EWG97qxZRj2djeEJytbU/9T5MszCeI0OyvH5LuLb4T/UFy3wkAXaJLAtW367d3eVlUD+7wUr32LyYhbGqv0ya12n//IJ6tkYXhBDlamaSh8Z3ox9a6XD4Ap6UzAs3indy9Yzy49SWjLDa0ly+Wu5/r2z8b59Osa39Dh02yMJ/wrN9b9mXxnSRvnn0nAHSJTgo0zcAaD259aassyilh8dqGiZPl9s/GOZJr2j/Lm36bLLITkrE/8Td8xHeiKHwnAHSJTgr0yNGWeGnTCKCpe3tTOcPc/o+f5OP60VbuCm/wnVSugGFQ0C06I9DTjffRJPNqZLN5fLCaMTG31+sV64/3pVBOG99JEUOeH4CT0iWBpgnYtO9oPFjnpc0Z50J70Vk0zZLZ8P5E5V42tv/2Tj3clnFecwF8J1suAMCJ6YxA81MAs9vEeHDbS1vnPBaXCRpdsfHStT/PrZWxaZLkugvgO9lyAQBOS3cE2tKqm5d1sjC3F65YW0ao2j5752otIVP7jbLYfAGZqcZ38lL5TgDoEN0RqHEZ9PrF1BteMsti3fuvm1xobJ8khKuTzDd9VHP2Y80FlFTkVEl8J/oC+e8EgA7RHYG2VnlojSyM7W/X9FXXtRc3+Bt1hR0+z7r0sekEXeUtGQzEd/JS+U4A6A4dEmihFGR6O9asfZm/fdfIwtD++4esO1m9OU3vn6yK2eXzrJ1/Yzrhufhx8J1UvxMAOkOXBPqSK0ae3Wz1qq/XkUW1fbpI0HwJ4/vLO9w8oXvN51k/gdF0giq//nFTk7F/JwB0hU4JFAAA+gQECgAADYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRDowPjbq1f/0Pzs//uPr/707xtb/Prq1X/+t9zz//i7V6/++8v/+x/FowmV49svAECPgEAHxqEFKlq8+nP2VBiSnkKgYJxAoAPj0AKlC4iQM0EHpBAoGCcQ6MA4uEBf/pLrxKsO/HogUDBsINCBcXiB5jrx1IHfeDUIFAwbCHRgHF6gdIn/9D/lI9GB39wcAgXDBgIdGEaB0rhl2tdWUvuVjmQuo7BSxJU5vxXOEf32P/07HZHm/Is+U7TWJs2J0nAt8wUA6D8Q6MAwCJQGKiXKZSS1/5Uc0qL7VT370/9J/FY602NdTAAAAupJREFUhwT6v18lAiUZ/oM8mFwrFaXhWv9mvAAAQwACHRhVgaZO01ajgcsUFUH+mjz9r9pv5XOEK/+LPPTn5CLixL9lIWwiSsO15O/KBQAYBBDowKgIlHwpNfk37T8lUAo9SWvUmCJK0trfkm595RwKNvPmE0//LBrpDnwqStO16HjlAgAMAwh0YFQEmsWJesiSLKc75r8qzaW5IAogteiK56TDnhoy4n/LXUmL0nQtOl65AADDAAIdGBWB/iWLE9VrublHwmdCZ7lQUpuuck5uuDM9nFehFqXpWuJ49QIADAMIdGCUBZpPewtfqmWXic6UQEWTJIWeHiidQwItTpj/y6tMlokojddSx4sXAGAgQKADwyDQPMWAs+JL9bB6Tj62TE8tLolXoqxeqyhWTGMCgwICHRhlgeby4usEmosKld+q59QTqPFa6jgECgYJBDowDAItGWt7BGroZ9cVaPVaiEDBgIFAB4ahC1+qk1RrDLRcW6luF756LYyBggEDgQ6MskAp515M/1QEmmvy66vSgYRaAjVeq3gcWXgwKCDQgVGZxpQrIZ9OLSoKNLNaMuG9ck49gRqvVZgHmlwAgGEAgQ6MikBlalzGf3rmUVWg1IQ8J5NAyYHCOTUFarpWcrxwAQCGAQQ6MP5WSITr5UEp5NaqQLMmf/+PpQP6nJoCNV2rePzvkUQCQwICHRhVgeZmF0kXGgSanGWoxqTj2ZoCNVxLHa9cAIAhAIEODINAk2JIWRn5ikBVhZFCuc7CObUFWr2WPl69AAD9BwIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEMgUAAAaAgECgAADYFAAQCgIRAoAAA0BAIFAICGQKAAANAQCBQAABoCgQIAQEP+PwuvV1Wf5Ni+AAAAAElFTkSuQmCC" title alt width="672" /></p>
+<p><strong>Estimated return on Investor count</strong></p>
+<p><img 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" title alt width="672" /></p>
+<p>Similar to lender yield, investors prefer estimated return around 10%. When they invest in lower Prosper Rating loans, they expect higher return (10-20%). But there are also investors accept negative estimated returns and invest in HR loans.</p>
+<p><strong>Loans with low and high number of investors:</strong></p>
+<p><img 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" title alt width="672" /></p>
+<p>The popular rating for loans with only 1 investors is C with 8000 loans.The popular rating for loans with more than 100 investors are A with approximately 5500 counts.</p>
+</div>
+<div id="underperformed-loans" class="section level2">
+<h2>Underperformed loans</h2>
+<p>This section we will work with underperformed loans (charged-off loans) and discover their common patterns</p>
+<pre><code>## [1] 11992</code></pre>
+<pre><code>## [1] 0.1052511</code></pre>
+<p>There are 11992 charged off loans (account for 10.5% )</p>
+<p><img 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S1nQ6ApkIhBJxAXCLQiOr2w5WwINAUSMegE4gKBVkSnF7acDYGmQCIGnUBcINCK6PTClrMh0BRIxKATiAsEWhGdXthyNgSaAokYdAJxgUArotMLW86GQFMgEYNOIC4QaEV0emHL2RBoCiRi0AnEBQKtiE4vbDkbAk2BRAw6gbhAoBXR6YUtZ0OgKZCIQScQFwi0Ijq9sOVsCDQFEjHoBOICgVZEpxe2nA2BpkAiBp1AXCDQiuj0wpazIdAUSMSgE4gLBFoRnV7YcjYEmgKJGHQCcYFAK6LTC1vOhkBTIBGDTiAuEGhFdHphy9kQaAokYtAJxAUCrYhOL2w5GwJNgUQMOoG4QKAV0emFLWdDoCmQiEEnEBcItCI6vbDlbAg0BRIx6ATiAoFWRKcXtpwNgaZAIgadQFwg0Iro9MKWsyHQFEjEoBOICwRaEZ1e2HI2BJoCiRh0AnGBQCui0wtbzoZAUyARg04gLhBoRXR6YcvZEGgKJGLQCcQFAq2ITi9sORsCTYFEDDqBuECgFdHphS1nQ6ApkIhBJxAXCLQiOr2w5WwINAUSMegE4gKBVkSnF7acDYGmQCIGnUBcINCK6PTClrMh0BRIxKATiAsEWhGdXthyNgSaAokYdAJxgUArotMLW86GQFMgEYNOIC4QaEV0emHL2RBoCiRi0AnEBQKtiE4vbDkbAk2BRAw6gbhAoBXR6YUtZ0OgKZCIQScQFwi0Ijq9sOVsCDQFEjHoBOICgVZEpxe2nA2BpkAiBp1AXCDQiuj0wpazIdAUSMSgE4gLBFoRnV7YcjYEmgKJGHQCcYFAK6LTC1vOhkBTIBGDTiAuEGhFdHphy9kQaAokYtAJxAUCrYhOL2w5GwJNgUQMOoG4QKAV0emFLWdDoCmQiEEnEBcItCI6vbDlbAg0BRIx6ATiAoFWRKcXtpwNgaZAIgadQFwg0Iro9MKWsyHQFEjEoBOICwRaEZ1e2HI2BJoCiRh0AnGBQCui0wtbzoZAUyARg04gLhBoRXR6YcvZEGgKJGLQCcQFAq2ITi9sORsCTYFEDDqBuCgg0PdvTnwx9frX1y9+/vbNlV99N/X58kteesRcdHphy9kQaAokYtAJxMX9An17leMvf29e//GbKNDTVwi0JQjUQo9YZBLRCcTF3QJ99+bsye+/snY8WzMI9Puvps0ZKL/kpUfMRacXtpwNgaZAIgadQFzcK9C4nXky6G+Gr5++7wT6fmoHv6f8kpceMRedXthyNgSaAokYdAJxca9A38d997cjS5726//mH6NA38Uvpim/5KVHzEWnF7acDYGmQCIGnUBc3CvQt3HX/d3wKOhp+/Prn7+N3nz7i98tDVF+yUuPmItOL2w5GwJNgUQMOoG4uFOgJ0uGDc/3bwaa/P7vv3vqBPrjN7/852+mT9RfKL/kpUfMRacXtpwNgaZAIgadQFzcL9DuTJHZzux+dDkcak7UvxlwXwWgxpJAW9cGUJY7BdpfqzQv0Pfh+qW3gxP1CPT5gkBhPxQU6Pg0fC/QeHT09ML4HYHy296lR8xFZ29ky9nYhU+BRAw6gbjYYAu04+30YdDyS156xFx0emHL2RBoCiRi0AnExQbHQDveTd+KVH7JS4+Yi04vbDlbpkD/ZZ7yNdIjFplEdAJxUfAsvLmZE4EK9cKWsyHQFPbZIwvoBOKi4HWgxo4IVKgXtpwNgaawzx5ZQCcQF5XuRHrqBTq4oH76jqTyS156xFx0emHL2RBoCvvskQV0AnFR61740Vn464bnj99M35FUfslLj5iLTi9sORsCTWGfPbKATiAuqj2NaXQh/RdPw8OlhvJLXnrEXHR6YcvZEGgK++yRBXQCcVH2eaAnSXYe7Xfd34cr5mfu5Sy/5KVHzEWnF7acDYGmsM8eWUAnEBdln0g/LdDwSPrJq+ifEGh9EKiFHrHIJKITiAv+JlJFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwRaEZ1e2HI2BJrCPntkAZ1AXCDQiuj0wpazIdAU9tkjC+gE4gKBVkSnF7acDYGmsM8eWUAnEBcItCI6vbDlbAg0hX32yAI6gbhAoBXR6YUtZ0OgKeyzRxbQCcQFAq2ITi9sORsCTWGfPbKATiAuEGhFdHphy9kQaAr77JEFdAJxgUArotMLW86GQFPYZ48soBOICwGB/rEw5Uf82Nk2kUWBzrMg0PI10iMWEjE47SUg0PL/dJQeMRedf0y3nI0t0BT22SML6ATiAoFWRKcXtpwNgaawzx5ZQCcQFwi0Ijq9sOVsCDSFffbIAjqBuECgFdHphS1nQ6Ap7LNHFtAJxAUCrYhOL2w5GwJNYZ89soBOIC4QaEV0emHL2RBoCvvskQV0AnGBQCui0wtbzoZAU9hnjyygE4gLBFoRnV7YcjYEmsI+e2QBnUBcINCK6PTClrMh0BT22SML6ATiAoFWRKcXtpwNgaawzx5ZQCcQFwi0Ijq9sOVsCDSFffbIAjqBuECgFdHphS1nQ6Ap7LNHFtAJxAUCrYhOL2w5GwJNYZ89soBOIC4QaEV0emHL2RBoCvvskQV0AnGBQCui0wtbzoZAU9hnjyygE4gLBFoRnV7YcjYEmsI+e2QBnUBcINCK6PTClrMh0BT22SML6ATiAoFWRKcXtpwNgaawzx5ZQCcQFwi0Ijq9sOVsCDSFffbIAjqBuECgFdHphS1nQ6Ap7LNHFtAJxAUCrYhOL2w5GwJNYZ89soBOIC4QaEV0emHL2RBoCvvskQV0AnGBQCui0wtbzoZAU9hnjyygE4gLBFoRnV7YcjYEmsI+e2QBnUBcINCK6PTClrMh0BT22SML6ATiAoFWRKcXtpwNgaawzx5ZQCcQFwi0Ijq9sOVsCDSFffbIAjqBuECgFdHphS1nQ6Ap7LNHFtAJxAUCrYhOL2w5GwJNYZ89soBOIC4QaEV0emHL2RBoCvvskQV0AnGBQCui0wtbzoZAU9hnjyygE4gLBFoRnV7YcjYEmsI+e2QBnUBcINCK6PTClrMh0BT22SML6ATiAoFWRKYX/nKe8rMh0BRkekQlEZ1AXCDQisj0AgI10CMWmUR0AnGBQCsi0wsI1ECPWGQS0QnEBQKtiEwvIFADPWKRSUQnEBcItCIyvYBADfSIRSYRnUBcINCKyPQCAjXQIxaZRHQCcYFAKyLTCwjUQI9YZBLRCcQFAq2ITC8gUAM9YpFJRCcQFwi0IjK9gEAN9IhFJhGdQFwg0IrI9AICNdAjFplEdAJxgUArItMLCNRAj1hkEtEJxAUCrYhMLyBQAz1ikUlEJxAXCLQiMr2AQA30iEUmEZ1AXCDQisj0AgI10CMWmUR0AnGBQCsi0wsI1ECPWGQS0QnEBQKtiEwvIFADPWKRSUQnEBcItCIyvYBADfSIRSYRnUBcINCKyPQCAjXQIxaZRHQCceEW6A+fHw6f/Prp8bM/ZHpylvJLXnrEXGR6AYEa6BGLTCI6gbhwCvSsz6tAD4fX2aqcpvySlx4xF5leQKAGesQik4hOIC58Ar368yzQh0Nxg5Zf8tIj5iLTCwjUQI9YZBLRCcSFS6A/fXk4fPaHDy9PAj0b9NPf3qHLW8oveekRc5HpBQRqoEcsMonoBOLCJdDj4fDq6ekq0PNO/Kt8W05QfslLj5iLTC8gUAM9YpFJRCcQFy6BPhzOp46CQE+bo2VPJJVf8tIj5iLTCwjUQI9YZBLRCcSFR6AnZZ63OYNAT5ugZffhyy956RFzkekFBGqgRywyiegE4sIj0B8+v5w3igI9IlAnMr2AQA30iEUmEZ1AXCDQisj0AgI10CMWmUR0AnGRsQv/wDFQJzK9gEAN9IhFJhGdQFw4TyKdtzmDQE/boy/ybTlB+SUvPWIuMr2AQA30iEUmEZ1AXHgvY3oRBXq+JrTslfTll7z0iLnI9AICNdAjFplEdAJx4bsT6XL1/EWgj4dD4T14BFodBGqhRywyiegE4iLpVs4rhW9EQqDVQaAWesQik4hOIC6cDxM577hX8icCrQ4CtdAjFplEdAJx4X6cXVBocX0i0PogUAs9YpFJRCcQFzxQuSIyvYBADfSIRSYRnUBcINCKyPTCgkDLuxWBpiDTIyqJ6ATiAoFWRKYXEKiBHrHIJKITiAsEWhGZXkCgBnrEIpOITiAunPfCW0peClp+yUuPmItMLyBQAz1ikUlEJxAXmQI9FLyds/ySlx4xF5leQKAGesQik4hOIC6yBVrOoOWXvPSIucj0AgI10CMWmUR0AnHhOwb64eXh+iSmi0xfDV+4n/JLXnrEXGR6AYEa6BGLTCI6gbhwCfSky/7PIB0v6iz4TKbyS156xFxkegGBGugRi0wiOoG4cD7O7sXNd4/FTiSVX/LSI+Yi0wsI1ECPWGQS0QnERcIT6SPXJ9L3z6V//+bEF7cfe//m6/7L6bcg0E1AoBZ6xCKTiE4gGwn07ZsLv/y9+dSP33QCnXsLAt0GBGqhRywyiegEUkygP31pduHPO+9RoO/enD35/VdvfvWd9WcU6NxbEOhGIFALPWKRSUQnkGICPT9PeXgS6aLT8JeR4nbmSY+/GX7k9H0U6NxbEOhWIFALPWKRSUQnkHIC/fDyEHfYz5cxnc/CPwanvo875m9HxzhPO+1/849BoDNvQaCbgUAt9IhFJhGdQMoJ9PKHPHpeX4x6vQ70bdwvfzc8xHna2Pz652+DQKffgkC3A4Fa6BGLTCI6gRQU6MWYgbM4T7vx1w3QkyXDVuX7N7/4XS/Qv//uKQp05i0IdDsQqIUesQGOJFUAACAASURBVMgkohNISYF293Ne9+SP8T6kbjPztNFp7DgQ6O1b3gzwVgDZ5Ak0c7IlgS58bEGgmYUAVOfOx9n11yrNCnTyLQh0UxAoQBUKCtScY58S6ORp+PLb3qVHzEVmbyRPoJmzsQufgkyPqCSiE4iLHIH+8FfdX5bL3QIdUn7JS4+Yi0wvIFADPWKRSUQnEBdOgR5Hp+H7P82ZewwUgW4JArXQIxaZRHQCKSjQh8O8QLtT7OYapamz8FzG1AQEaqFHLDKJ6ARSTqCDi5jChaAdg4s8zY2aU9eBTt7LWX7JS4+Yi0wvIFADPWKRSUQnkHICfbjcvfkYbuEcPVlk/jajTqDcidQaBGqhRywyiegEUkygP305fHzI42APfulG906g3AvfGgRqoUcsMonoBFJMoD98frnt6MPLy9XzJ50ON0FnH7XUnzziaUyNQaAWesQik4hOICUF+rr/X9iV7xg+7PMkzU6SvUB5HmhjEKiFHrHIJKITSGmBnjY9L/e/f3g5/mMeg8fNzwiUJ9K3BYFa6BGLTCI6gZQWaPzTSB9eDg+C3k/5JS89Yi4yvYBADfSIRSYRnUBcOE8iXTY9w9+ROx4QqA+ZXkCgBnrEIpOITiAuXJcxhRPv4RlM5f4e55XyS156xFxkegGBGugRi0wiOoG48F5If1bn6X8ndYY/6VGO8kteesRcZHoBgRroEYtMIjqBuPDfyvmqv6Pz9fonEii/5KVHzEWmFxCogR6xyCSiE4gLn0B/+vJizfBQ5bIboAi0OgjUQo9YZBLRCcSF93F2x+sj6B8Owz/QWYbyS156xFxkegGBGugRi0wiOoG4uPOByiUov+SlR8xFphcQqIEescgkohOICwRaEZleQKAGesQik4hOIC58F9KHPyF35YHLmJzI9AICNdAjFplEdAJxkSVQLqT3IdMLCNRAj1hkEtEJxEW6QH/4HIE6kekFBGqgRywyiegE4mJFoI+HKdiF9yHTCwjUQI9YZBLRCcTFikDDlZ+GshcylV/y0iPmItMLCNRAj1hkEtEJxMXaLvyxuj8RaHUQqIUescgkohOIi4yTSKUpv+SlR8xFphcQqIEescgkohOICwRaEZleQKAGesQik4hOIC64kL4iMr2AQA30iEUmEZ1AXCDQisj0AgI10CMWmUR0AnHhFOiHl8OzSFwH6kOmFxCogR6xyCSiE4gLn0DN5aAI1IdMLyBQAz1ikUlEJxAXLoHaa5kQqA+ZXkCgBnrEIpOITiAuXAJ9KO3MEeWXvPSIucj0AgI10CMWmUR0AnHh/KucFf2JQKuDQC30iEUmEZ1AXDj/Lnzpp9APKb/kpUfMRaYXEKiBHrHIJKITiAsEWhGZXkCgBnrEIpOITiAunLvwCDQHmV5AoAZ6xCKTiE4gLlwnkR4LP8BuTPklLz1iLjK9gEAN9IhFJhGdQFy4BFp3H778kpceMReZXkCgBnrEIpOITiAufBfSf3hZcRu0/JKXHjEXmV5AoAZ6xCKTiE4gLpwnkbiQPgeZXkCgBnrEIpOITiAuEGhFZHoBgRroEYtMIjqBuECgFZHpBQRqoEcsMonoBOKCx9lVRKYXEKiBHrHIJKITiAsEWhGZXkCgBnrEIpOITiAuEGhFZHoBgRroEYtMIjqBuHAL9Hwg9JNfPz2Wv5yp/JKXHjEXmV5AoAZ6xCKTiE4gLpwCvZ5HOgv0cHidrcppyi956RFzkekFBGqgRywyiegE4sIn0HAe/iTQh0Nxg5Zf8tIj5iLTCwjUQI9YZBLRCcSFS6A/fXk4fPaHDy/Pf924/MOVyy956RFzkekFBGqgRywyiegE4sL7Jz1ene/nvPx5+MdD4Rvjyy956RFzkekFBGqgRywyiegE4sL5Jz3Op46CQE+bo2VPJJVf8tIj5iLTCwjUQI9YZBLRCcRFwvNAg0BPm6DcieRDphcQqIEescgkohOIC+etnOfzRlGgRwTqRKYXEKiBHrHIJKITiAsEWhGZXkCgBnrEIpOITiAuMnbhHzgG6kSmFxCogR6xyCSiE4gL50mk8zZnEOhpe/RFvi0nKL/kpUfMRaYXEKiBHrHIJKITiAvvZUwvokDP14SWvZK+/JKXHjEXmV5AoAZ6xCKTiE4gLnx3Il2unr8I9PFwKP3XPcoveekRc5HpBQRqoEcsMonoBOIi6VbOGo9TRqD1QaAWesQik4hOIC6cDxM577hX8icCrQ4CtdAjFplEdAJx4X6cXVBocX0i0PogUAs9YpFJRCcQFzxQuSIyvYBADfSIRSYRnUBcINCKyPQCAjXQIxaZRHQCceEV6OP12qUfPi+/D19+yUuPmItMLyBQAz1ikUlEJxAX/rPwF4F+eHkofBk9Aq0PArXQIxaZRHQCceF+oPL1IaDH84mkwgYtv+SlR8xFphcQqIEescgkohOIC5dAHy9/zaP7mjuRnMj0AgI10CMWmUR0AnHhfJjI4MjnaS+ee+F9yPQCAjXQIxaZRHQCceF8nN3wj3g88jQmJzK9gEAN9IhFJhGdQFwkPA80wvNAvcj0AgI10CMWmUR0AnGBQCsi0wsI1ECPWGQS0QnEhfMY6HCnnQcqe5HpBQRqoEcsMonoBOLCexa+Pwh65M8ae5HpBQRqoEcsMonoBOLCJdDzdfThOqbzl4VvRiq/5KVHzOXP59m0DgRq0ekRHV+0riCgE4gL351Ix8OQspeBItDqIFCLTo/o+KJ1BQGdQFw474U/38IZ6C6pL0X5JS89Yi4IFIGuoeOL1hUEdAJx4X4aU3gofXF9ItD6IFCLTo/o+KJ1BQGdQFzwOLuKlBfoX8yz8CkEatHpER1ftK4goBOIC9+fNa7wHPqe8kteesRcECgCXUPHF60rCOgE4iLjOtDSlF/y0iPmgkAR6Bo6vmhdQUAnEBfOO5FKPwN0SPklLz1iLggUga6h44vWFQR0AnHBFmhFECgCXUPHF60rCOgE4sJ1DPRY/NrPIeWXvPSIuSBQBLqGji9aVxDQCcSF7yz8h5cVt0HLL3npEXNBoAh0DR1ftK4goBOIC+cx0DFlT8r/sTDlR8xlQaCZIy4IdOFTmQLNrHFRoPMsCDSzkAV0ekQFEjE47SUg0PL/dJQeMRe2QNkCXUNng6t1BQGdQFwg0IogUAS6ho4vWlcQ0AnEBXciVQSBItA1dHzRuoKATiAuEGhFECgCXUPHF60rCOgE4gKBVgSBItA1dHzRuoKATiAukp7G9Mmvnx7LX85UfslLj5gLAkWga+j4onUFAZ1AXDgFej2PdBZo+Wvqyy956RFzQaAIdA0dX7SuIKATiAufQPuHgT7wRHo/CBSBrqHji9YVBHQCceES6E9fHg6f/eHDy/PTlE8G5W8iOUGgCHQNHV+0riCgE4gL773wr873c14eR//IX+X0gkAR6Bo6vmhdQUAnEBe+Bypf7oQPAi3+bKbyS156xFwQKAJdQ8cXrSsI6ATiwvk4u/M2ZxDoaROUO5F8IFAEuoaOL1pXENAJxIXzVs7zeaMo0CMCdYJAEegaOr5oXUFAJxAXCLQiCBSBrqHji9YVBHQCcZGxC//AMVAnCBSBrqHji9YVBHQCceE8iXTe5gwCLf4XksoveekRc0GgCHQNHV+0riCgE4gL72VML6JAz9eElr2SvvySlx4xFwSKQNfQ8UXrCgI6gbjw3Yl0uXr+ItDHw6H0X/cov+SlR8wFgSLQNXR80bqCgE4gLpJu5azxOGUEmgICLYNOj+j4onUFAZ1AXDgfJnLeca/kTwSaAAItg06P6PiidQUBnUBcuB9nFxRaXJ8INAUEWgadHtHxResKAjqBuOCByhVBoAh0DR1ftK4goBOICwRaEQSKQNfQ8UXrCgI6gbhYF+iHl+dd97IPYBpRfslLj5gLAkWga+j4onUFAZ1AXKwJtDt7dL0LqQbll7z0iLkgUAS6ho4vWlcQ0AnExZpAH7qz79UMWn7JS4+YCwJFoGvo+KJ1BQGdQFysCPR4uNyEdLkQtPyfk7tSfslLj5gLAkWga+j4onUFAZ1AXKwI9CHet3nala+1CVp+yUuPmAsCRaBr6PiidQUBnUBcLAt08PT5Cn+OM1B+yUuPmAsCRaBr6PiidQUBnUBcLAt08OSlDy9rnYkvv+SlR8wFgSLQNXR80bqCgE4gLtwCLf4Uu47yS156xFwQKAJdQ8cXrSsI6ATiAoFWBIEi0DV0fNG6goBOIC4QaEUQKAJdQ8cXrSsI6ATiAoFWBIEi0DV0fNG6goBOIC4QaEUQKAJdQ8cXrSsI6ATiAoFWBIEi0DV0fNG6goBOIC4QaEUQKAJdQ8cXrSsI6ATiYlWgU/B34X0gUAS6ho4vWlcQ0AnEBQKtCAJFoGvo+KJ1BQGdQFwg0IogUAS6ho4vWlcQ0AnEBU+krwgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxEUBgb5/c+KLhRd//vbNlV99N/X58kteesRcECgCXUPHF60rCOgE4uJ+gb69yvGXv5998cdvECgCRaCT6PiidQUBnUBc3C3Qd2/efP309P1XIzuOX/z+q2lzBsoveekRc0GgCHQNHV+0riCgE4iLewV62rr8+ukiyTe/mXvx/c0O/ojyS156xFwQKAJdQ8cXrSsI6ATi4l6Bvo/77m8HljQvvrvqdI7yS156xFwQKAJdQ8cXrSsI6ATi4l6Bvo277u8GR0HNi29/8bulIcoveekRc0GgCHQNHV+0riCgE4iLOwX687dxw/P9m06T5sUfv/nlP38zcaI+Un7JS4+YCwJFoGvo+KJ1BQGdQFzcL9Cwe/79V0OBDl/8/qs3Nyfq3wy4rwJlFgSaOeKCQJc+lifQzBqXBLrwsQWBZhYCUJ07BRpPF40Eal58H65fejs4UY9A80CgAEoUFGh3Gt68GI+OnjZMfzMxBLvwCbALXwadHtHZY21dQUAnEBcbbIF2vJ0+DFp+yUuPmAsCRaBr6PiidQUBnUBcbHAMtOPd9K1I5Ze89Ii5IFAEuoaOL1pXENAJxEXBs/DdOaLJF58QKAJFoDfo+KJ1BQGdQFwUvA60t+PkiwgUgSLQG3R80bqCgE4gLurfidTv0L+dviOp/JKXHjEXBIpA19DxResKAjqBuNjgXvi44fnjN9N3JJVf8tIj5oJAEegaOr5oXUFAJxAXGzyN6fS/88Zpf2QUgSLQWxBoU2QS0QlkG4GOHv15kuTVo6Pngb4PV8zP3MtZfslLj5gLAkWga+j4onUFAZ1ANhLo8OHznUDHj6m/PpJ+8ir6JwSaAgItg06P6PiidQUBnUBc8DeRKoJAEegaOr5oXUFAJxAXCLQiCBSBrqHji9YVBHQCcYFAK4JAEegaOr5oXUFAJxAXCLQiCBSBrqHji9YVBHQCcYFAK4JAEegaOr5oXUFAJxAXCLQiCBSBrqHji9YVBHQCcYFAK4JAEegaOr5oXUFAJxAXCLQiCBSBrqHji9YVBHQCcYFAK7Ig0DwTItBC6PSIji9aVxDQCcQFAq0IAkWga+j4onUFAZ1AXCDQiiBQBLqGji9aVxDQCcQFAq0IAkWga+j4onUFAZ1AXCDQiiBQBLqGji9aVxDQCcQFAq0IAkWga+j4onUFAZ1AXCDQiiBQBLqGji9aVxDQCcQFAq0IAkWga+j4onUFAZ1AXCDQiiBQBLqGji9aVxDQCcQFAq0IAkWga+j4onUFAZ1AXCDQiiBQBLqGji9aVxDQCcQFAq3IpgLNkyQCbYyOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIND6As37mE6P6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINCKIFAEuoaOL1pXENAJxAUCrQgCRaBr6PiidQUBnUBcINDIPyyQWQkCRaBr6PiidQUBnUBcINAIAkWgDdDxResKAjqBuECgEQSKQBug44vWFQR0AnGBQCMIFIE2QMcXrSsI6ATiAoFGECgCbYCOL1pXENAJxAUCjSBQBNoAHV+0riCgE4gLBBpBoAi0ATq+aF1BQCcQFwg0gkARaAN0fNG6goBOIC4QaASBItAG6PiidQUBnUBcINAIAkWgDdDxResKAjqBuECgEQSKQBug44vWFQR0AnGBQCMIFIE2QMcXrSsI6ATiAoFGEGiKQJcsiUAT0PFF6woCOoG4QKARBIpAG6Dji9YVBHQCcYFAIwgUgTZAxxetKwjoBOICgUYQKAJtgI4vWlcQ0AnEBQKNIFAE2gAdX7SuIKATiAsEGkGgCLQBOr5oXUFAJxAXCDSCQBFoA3R80bqCgE4gLhBoBIEi0Abo+KJ1BQGdQFwg0AgCRaAN0PFF6woCOoG4QKARBIpAG6Dji9YVBHQCcYFAIwgUgTZAxxetKwjoBOICgUYQKAJtgI4vWlcQ0AnEBQKNIFAE2gAdX7SuIKATiAsEGkGgCLQBOr5oXUFAJxAXCDSCQBFoA3R80bqCgE4gLhBoZEmgmW5FoAh0DR1ftK4goBOICwQaQaAItAE6vmhdQUAnEBcINIJAEWgDdHzRuoKATiAuEGgEgSLQBuj4onUFAZ1AXCDQCAJFoA3Q8UXrCgI6gbhAoBEEikAboOOL1hUEdAJxISDQPxYmc8RMgS4NmSfQpRE3FehSIbkCnWfBhEuF5H2sfNd97JCIwWkvAYGW/6cj62NsgVqWCmELtBA6G1ytKwjoBOICgUYQKAJtgI4vWlcQ0AnEBQKNIFAE2gAdX7SuIKATiAsEGkGgCLQBOr5oXUFAJxAXCDSCQBFoA3R80bqCgE4gLhBoBIEi0Abo+KJ1BQGdQFwg0AgCRaAN0PFF6woCOoG4QKARBIpAG6Dji9YVBHQCcYFAIwgUgTZAxxetKwjoBOICgUYQKAJtgI4vWlcQ0AnEBQKNIFAE2gAdX7SuIKATiAsEGkGgCLQBOr5oXUFAJxAXCDSCQBFoA3R80bqCgE4gLhBoBIEi0Abo+KJ1BQGdQFwg0AgCRaAN0PFF6woCOoG4QKARBIpAG6Dji9YVBHQCcYFAIwgUgTZAxxetKwjoBOICgUYQKAJtgI4vWlcQ0AnEBQKNIFAE2gAdX7SuIKATiAsEGkGgCLQBOr5oXUFAJxAXCDSCQBFoA3R80bqCgE4gLhBoBIEi0Abo+KJ1BQGdQFwg0AgCRaAN0PFF6woCOoG4QKARBIpAG6Dji9YVBHQCcYFAIwgUgTZAxxetKwjoBOICgUYQKAJtgI4vWlcQ0AnEBQKNIFAE2gAdX7SuIKATiAsEGkGgCLQBOr5oXUFAJxAXCDSCQBFoA3R80bqCgE4gLhBoBIEi0Abo+KJ1BQGdQFwg0EimQBckuQQCtSDQpsgkohOICwQaQaAItAE6vmhdQUAnEBcINIJAEWgDdHzRuoKATiAuEGgEgSLQBuj4onUFAZ1AXCDQCAJFoA3Q8UXrCgI6gbhAoBEEikAboOOL1hUEdAJxgUAjCBSBNkDHF60rCOgE4gKBRhAoAm2Aji9aVxDQCcQFAo0gUATaAB1ftK4goBOICwQaQaAItAE6vmhdQUAnEBcINIJAEWgDdHzRuoKATiAuEGgEgSLQBuj4onUFAZ1AXCDQCAJFoA3Q8UXrCgI6gbhAoBEEikAboOOL1hUEdAJxgUAjCFRWoJkslC+jCyFftK4goBOICwQaQaAItAE6vmhdQUAnEBcINIJAEWgDdHzRuoKATiAuEGhERqCZIFAEegcyiegE4gKBRhAoAm2Aji9aVxDQCcQFAo0gUATaAB1ftK4goBOIi50J9F/nQaAItAE6vmhdQUAnEBcIFIEi0Ibo+KJ1BQGdQFwgUASKQBui44vWFQR0AnGBQBEoAm2Iji9aVxDQCcQFAkWgCLQhOr5oXUFAJxAXCBSBItCG6PiidQUBnUBcIFAEikAbouOL1hUEdAJxgUAR6ByZkkSgKej4onUFAZ1AXCBQBIpAG6Lji9YVBHQCcYFAESgCbYiOL1pXENAJxAUCRaAItCE6vmhdQUAnEBcIFIHuUaB5H6uAji9aVxDQCcQFAkWgCBSBIlCL014IFIEiUASKQC1OeyFQBIpAESgCtTjthUARKAJFoAjU4rQXAkWgCBSBIlCL014IFIEiUASKQC1OeyFQBIpAESgCtTjthUARKAJFoAjU4rQXAkWgCLSyQMvXXx4EanDaC4Ei0Ocq0ExK9yMCTQKBplJ+yed/hkAR6Bql+xGBJoFAUym/5PM/Q6BtBVrUdJUo3Y8INAkEmkr5JZ//GQJFoGuU7kcEesvCUi8JdMuwnPZCoAgUgY4o3Y8I9JaFpd6fQN+/OfHF4ouTb4mUX/L5nyFQBLpG6X5EoLcsLPXuBPr2zYVf/n7+xcm3dJRf8vmfIVAEukbpfkSgtyws9d4E+u7Nm6+fnr7/6s2vvpt7cfItFQW6YEkEikDXKN2PCPSWhaXemUB//OYsx4sefzPz4uRbBhRfcgSKQO+gdD8i0FsWlnpnAn3f76Z/MfPi5FsGFF9yBIpA76B0PyLQWxaWemcCfRv3y98NDnGOX5x8y4DiS45AEegdlO5HBHrLwlLvS6A/fxu3Kt+/+cXvJl+cfMuQ4kuOQBHoHZTuRwR6y8JS706gX1+/+v6roUAHL06+5c2A+yqYAIEi0Dso3o9LTy7ZthAZMpdaMKw7BRpPEI3sOH5x8i1VBQoAsAkFBdqdYx+/OPmWIeW3vUuPmIvObb2tK4iQiIVEDDqBuGi0BTqk/JKXHjEXnV5oXUGERCwkYtAJxEWjY6BDyi956RFz0emF1hVESMRCIgadQFwUPAvfXaM0fnHyLUPKL3npEXPR6YXWFURIxEIiBp1AXBS8DrS/UXP84uRbBpRf8tIj5qLTC60riJCIhUQMOoG4eI53Iqm0glAvtK4gQiIWEjHoBOLiOd4Lr9IKQr3QuoIIiVhIxKATiIvn+DQmlVYQ6oXWFURIxEIiBp1AthHo6GGfP38bJKn6PNBt0emF1hVESMRCIgadQDYS6PBx851AVZ9Ivy06vdC6ggiJWEjEoBOIi539TaRt0emF1hVESMRCIgadQFwg0Iro9ELrCiIkYiERg04gLhBoRXR6oXUFERKxkIhBJxAXCLQiOr3QuoIIiVhIxKATiAsEWhGdXmhdQYRELCRi0AnEBQKtiE4vtK4gQiIWEjHoBOICgVZEpxdaVxAhEQuJGHQCcYFAK6LTC60riJCIhUQMOoG4QKAV0emF1hVESMRCIgadQFwg0Iro9ELrCiIkYiERg04gLhBoRXR6oXUFERKxkIhBJxAXCLQiOr3QuoIIiVhIxKATiAsEWhGdXmhdQYRELCRi0AnEBQKtiE4vtK4gQiIWEjHoBOICgVZEpxdaVxAhEQuJGHQCcYFAK6LTC60riJCIhUQMOoG4QKAV0emF1hVESMRCIgadQFwg0Iro9ELrCiIkYiERg04gLhBoRXR6oXUFERKxkIhBJxAXAgItzZs3rStQg0QsJGIhkTwQ6A4gEQuJWEgkDwS6A0jEQiIWEskDge4AErGQiIVE8kCgO4BELCRiIZE8EOgOIBELiVhIJA8EugNIxEIiFhLJA4HuABKxkIiFRPJAoDuARCwkYiGRPBDoDiARC4lYSCQPBLoDSMRCIhYSyeMZChQAYBsQKABAJggUACATBAoAkAkCBQDIBIECAGSCQAEAMkGgAACZIFAAgEwQKABAJs9DoO/fnPjC8+JemFv492++3r4YCSYTeUePmBffnl775e+b1PNR8iwEev6l3/zeJ1/cC3ML/+M3exXoVCKnNC784nfNymrIUiI7bZIMnoNA311+4d9/9eZX3628uBfmFv68fuxz3ZhK5OdvxyTeVgAAEDdJREFUL+qkR7rXTomcfXr60W8aVvZR8QwEGreqTr3wm+UX98Lcwp++36lAJxN5HzY96ZFITOTtbg9rJPMMBPo+7oUMf+2TL+6FmYU/7bP9zT/uU6CTibwNG1+n7S56ZPT1u11uk2fxDAQa14PTr70/njP54l6YXvjTtsbXJ1fsUqAzPfKF+WJHLK4gCNTNxy/QfvvhfX82YPLFvTCz8N///XdPOxXocjvs8czaYiK73CTP5FkINLT/918NBXr74l5YWPj9CnShHXb4b+xiIuFUEnj4+AXabz8MWmHyxb2wsPA7FehiO5x+uL8d1vlEzleH7i+PbJ6XQLsTipMv7oWFhUegN+1w+tkOt7fmE3m/3ytjc3heAmUL9AxboJaFRE4/2l2DPK2tIG93mUkWH79AOQZq4RioZT6R860Fe9tDObO8gnAWyc2zEGh3PrHbF5t8cS8sLPx+BTqdyGn/dXf/vl5YWUG4jsnLxy/Q4RVt/W998sW9ML/wOxXoXCK79efaCrLHtSaPZyBQ7kSyzC/8XgU6ncjJn7vbPYlMJdJ3x7sdrjV5PAOBci+8ZX7h9yrQuR7ZrT+nE4l3Je3x1oJMnoFAeRrTDbMLv1eBTibybrf772emEjmJ87zleeqSPa41WTwHgY6ebNj98nkeqE3kaccCnUgkPvtyr89UnuqRy/O6drvW5PAsBDp8tnavC55IbxPZs0BvE4my2G2bTPbIRav7O+qVzfMQKABAAxAoAEAmCBQAIBMECgCQCQIFAMgEgQIAZIJAAQAyQaAAAJkgUACATBAoAEAmCBS24PEw5sX02374b+f//vTl4dPfJk9x/ezSGz4/fPaH0/+Ph8Or5NEBpkCgsAU+gT5czZYl0IdVKyJQKA4ChS1wCTSaLUegDisiUCgOAoUtOAn09eqb7jEbAoUWIFDYAgQKzxIECluAQOFZgkBhC2YEehwcED2Gw6Ov4zHQq/DOR08/+XUYYzjKw+Xd1x/1n+2/6995Gug8yaJA7WeO5lCt/R7gDAKFLZgU6IeX8ZzSWWiTAv2/X8Y3XCzYO6w/K3WW4lCg3ajxRFR462f/Z16gcfD4mXFlt98DXEGgsAVTAu2sdTXfpED/Nrz4yX//cvDW8Vn9VyOB9q4LNuze+mezAh1UcvmMqezme4AAAoUtMJcxXUT2GHR18uXYbL1AD/0Xl6/Odjxvgp5fubz1/IX97HW3/uzUF4N3HLt5bwX6EDYtH8NnbGU3lQJcQaCwBVMCfYibc/G6zwmBXnV1PAy+CjYMu/InpY4+e+wUd/r42aSP8YWzfKcFevrJ9VBq/MpWdlMpwBUEClswswU63pybEOjVW8GF16/GBosvxM8+xHeGl05jxRce5wT62J8derz8zFZ2UynAFQQKWzB1DPRoDyreCjTIcuqrp/DOw0ig8Uz7mdPm5IvhB07fTwv0oS/i8pmbym4qBbiCQGELJs/CPwxOA51JEuix25w1Ah1v6Q6MOncZ02AjNUrWVma/B7iCQGELpq8D7Xfs4/FLr0AH59pHAh2+fhFo3Ox8WhRot1Ub32Mqu/ke4AIChS2YuxOp22IMV4I6BRo/9ulvzTHQgS+7CTK2QG1lE98DPCFQ2IalWzkvagrn1p0CfTzYH/W78NMnmZ58x0CPo7uNuspmvofdg0BhCyYEOthzDpZzC3SwzXgc78Kfzyq9NrPEFzxn4R/CmftRZbeVAlxBoLAFU1ugD8Pd40yBnrcJR5cx9dum4aXuEqSba+47pq4DHVV2UynAFQQKWzB3GdNly++sthdP/UXw67vwD0GTl3M78cajy2cve9mXqR6uP4mKvZxectyJFO9aGlZ2UynAFQQKW2CfSH9x3EP/7eDU+muHQI/DoS4CjZ8d/Sie27/y7/qTSAOG56RiITeV2e8BriBQ2IJJgV4ug+8dGL5/5bmMqTPav/9yONb4Sqb+8tIzw6cxGYHePI1purL+e4ArCBS2YFKgnbji3v3FUy9cF9JfNfmqP28ePttP1u9qhx/9MC/QmWeIDl6w3wOcQaAAAJkgUACATBAoAEAmCBQAIBMECgCQCQIFAMgEgQIAZIJAAQAyQaAAAJkgUACATBAoAEAmCBQAIBMECgCQCQIFAMgEgQIAZIJAAQAyQaAAAJkgUACATBAoAEAmCBQAIBMECgCQCQIFAMgEgQIAZIJAAQAyQaAAAJkgUACATBAoAEAmCBQAIBMECgCQCQIFAMgEgQIAZIJAAQAyQaAAAJkgUACATBAoAEAmCBQAIBMECgCQCQIFAMgEgQIAZIJAAQAyQaAAAJkgUACATBAoAEAmCBQAIBMECgCQCQIFAMgEgQIAZIJA4X7+JYn08f8piaWR/jKJlbL+Ionlsf48icWh/iGJxaH+NYmVuJ4lCBTuB4EiUAQKkAkCRaAIFCATBIpAEShAJggUgSJQgEwQKAJFoACZIFAEikABMkGgCBSBAmSCQBEoAgXIBIEiUAQKkAkCRaAIFCATBIpAEShAJggUgSJQgEwQKAJFoACZIFAEikBhiZ++PHS8qjLDD5/3M3zy65n3/NVvz/97OBw+/W3WJMdx/TMDnUt5kTBqlkBPifaFPB4++8M45PP3kRyBDuPs88wS6KCsUSr5Ar0WN/wtZwm0X8bhUPkCfbS/9myB3ox088IzAYE6Ga7bs367i9EaP9ltpxo+vVOgD2M3CQv0cHjd/VRHoKN/PXMF2pfWh3+nQIe/r2yBnpdz3A65Ar0Z6XboZwICdTJet2v0wligU5u5ne6yBWq3fPQEGl/68HJQZqZAewN35Ar0VffVoOhMgZ4W7Vra4+BXkSvQ1zG/fmmzBfrh5Z/+9Ti0XIHejHQ79DMBgToZC7RGLxiBTogtf8MzcjRbK7oCPdfQfS0j0HOhvdfzBHoqLO4CDL68U6Cn32S3X5Et0MfDi8fRoZNsgd6MdDv0MwGBOjkL9NoAF9FVOJ4zsNZx+jDB/QI9jfDZ3w5GERbo02CFExLo6esumTyBDlR3/kWHIu8V6LH/ReYK9Dzah5ejvssU6M1IE0M/ExCok16gl12w05en5v/0f8VDO9cN1G7NeBxs6J1t9Hps3Yd+H70fZWith7iRe54rTPHYH+wK3ruMfHnv0IinKrqdRMP59VfHwQb0cKBBiddSHgcDD+qYYEcCPf3COg9kCXRU109fltoCLSDQ8xCjRc0W6M1IE0M/ExCok2mB/odglSi3a4t0O+OXVe383X8c7pZfZRS+60eZEujDYNxpgf7nl4NjCmHiT/5uRqCXg25mnjjQsMTz9//my8HAwzomqCLQB02BDsbNEuhx+p+hewVaYBf+4dwWj6PyMgV6M9LE0M8EBOqkF+jFfy+644lDt12/GxwuPX9ieGxz/P35u34Uswt/brbjxcHnH5y+mxbocKzRcdoJe4RleOiPD8wMZL8f1TFBDYGKHgMdfpMl0JlDgXcKtMBJpOtgp+4exJYn0JuRpoZ+JiBQJ7cnkY6dps5KPSsp/P+6Z339xOtgo9NKc/n/6+vW3KtuI7MfxZxEOrv04brJF8/W2rPwceQ4f/Tuw4xAL3vw17cFB5iBYonD788DmzpuyBXoECPQ41DWmQLt6fx3v0CvW1MXsgT6MH10OVegE/9gZgr0uoF4WtaB4PMEejPS1NDPBATqZLy6x23Ha0N0m3RnQ72Iu/iRbsPt+tO4oXke8MVwlLFAh5t6SwKNh0eD5y7vi+q2hLcNjkbYga4l3gxs6rihoEB7BlMh0HWB3nsdaDw7dhwGnyXQm5Emh34mIFAno3X7op9uQ64X0vWr2Nahpbtd8+tPw2bgRUcnSfWbg6M13gh4XqCXN17N1tfxOCnQ7uf9jwcDDUq0A9s6bsgV6NKF9MOjrZkCrbILLybQsIynruqGzRNo3MEeHjrJE+jNSJNDPxMQqJPBuh0k0p3NHhy8vArpcfTO/seXnx57R0SBXleCgUCHBwIHI00JNPzTHg8dvBiXNqJzddjOnBgovGAGtnXcUFCg8d+WkWWUBKp5DHR4gDFPoI+jtgxkCfRmpMmhnwkI1MlgvzcwL9CnXpKv0wT6Ipg69Nnx6qylXfgEgT4cxlNPDDQjUFPHDaUFep6wwL3wH8FZ+GMc+F6BDrZsswQ62v/pBs0R6M1I00M/ExCokwWB2l34y0/Dv7ovBjva/S7864lRRgdH+6uJzp90CnRlF37qVlF7LGCwC2/MPKzjhuICNdugSgIdCDBLoOO6uquPWgu0Pz55GrSLPkegNyNND/1MQKBOFgQ6Pon0qrvdL3gnnso2J5FuRhkdiLx8FV3rFOjKSaTjyJ/XhRkMNCjRDmzruKG8QM+LcPfDRDTvRBruw5+SDSO3FujgOtLB3ao5Ar0ZaXroZwICdbIkUHMZUzyxHjR02fI7aSpqLVzG9OFlvJDeCvR6penrzsfnD0aBXvtvRqDHwUTx8/3/Bpd/DkfsLmMalDgh0EEdt/c5lRfouYS7L2Pa073wdx4DHZ7f6a2eI9CbkWaGfiYgUCdLAh0eXRxfSN9dVDnY7Is3Ih26izKtQOO98OFqou6yzu4G0RmB2gvpRwLtdtPjBOFC07kL6c0u/KCOTQR6nrrb1JMR6DmJu5/G1P3KCz6N6fQ7uetOpOFdQqfFjd9kCPRmpJmhnwkI1MmiQM2tjr3Izt8O7ou8Ns9x6KpJgYZb2s0dTkG98wKNIvz0f0wI9PFgzu6HS+7jQMMS7cDjOrYRaLx6/0ymQAfEYHMFOv5FBDIFOvgntN+azRXo4XaoDIEOD0wMH3GSLtCbkf7LzNDPBATqZFmg9knFx0P/7dVGD4O1+Prma8dPC/SyZrzqHiD/EMaKd5HOCfQpTHMc7Wtf/tfttfcVvDYD9SXeDDyqYyOBnoqIBesIdLQDmivQqNCCT6QfFpYh0PFdlv25nnSB3oz0JzNDPxMQaHXMWaMtOM6d7Znh3hKzBJpAjkCnyRLoHPkCvSVLoNNkCHSOdIHuDQRane0E+ji4pynpUBMCRaCTINA1EGh1thPo8EKlpJOdCBSBToJA10Cg1dlwF76/GiDtsTcIFIFOgkDXQKDV2fIYaDirkHq1MgJFoJMg0DUQKNwPAkWgCBQgEwSKQBEoQCYIFIEiUIBMECgCRaAAmSBQBIpAATJBoAgUgQJkgkARKAIFAIAUECgAQCYIFAAgEwQKAJAJAgUAyASBAgBkgkABADJBoAAAmSBQAIBMECgAQCYIFAAgEwQKAJAJAgUAyASBAgBkgkABADJBoAAAmSBQAIBMECgAQCYIFAAgEwQKAJAJAgUAyASBAgBkgkABADJBoAAAmSBQAIBMECgAQCYIFAAgEwQKAJAJAgUAyASBAgBkgkABADJBoAAAmSBQAIBMECgAQCYIFAAgEwQKAJAJAgUAyASBAgBkgkABADJBoAAAmSBQAIBMECgAQCYIFAAgEwQKAJAJAgUAyASBAgBkgkABADJBoAAAmSBQAIBMECgAQCYIFAAgEwQKAJAJAgUAyASBAgBkgkABADJBoAAAmSBQAIBMECgAQCb/H2qUvEg0ek23AAAAAElFTkSuQmCC" title alt width="672" /></p>
+<p>Most borrowers with chargeoff loss have Prosper Rating lower than D and estimated loss larger than 10%.</p>
+<p><strong>Performance of charged off loan</strong></p>
+<p><img src="data:image/png;base64,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" 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" title alt width="672" /></p>
+<pre><code>## 
+##     FALSE      TRUE 
+## 0.1882922 0.8117078</code></pre>
+<p>For both Gross Principal Loss and Net Principal Loss, the thickest area lies from 50% to 100% and under 100 investors. Nearly 81% of Net percentage loss is over 50%.</p>
+<p>Facet the chart using Prosper Rating, we see how Prosper Rating affect the investors number to a loan (a pattern we have discovered earlier). Low investor count usually go with low Prosper rating, and those loans with low ratings tend to have high percentage loss when it comes to charge off loans</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>There are some cases, however, that the investors can recover of their investments. In those cases, Net Principal Loss is smaller than Gross Principal Loss. We can observe the phenomenon more clearly in the chart below where many points lie below the equate line of gross principal loss and net principal loss</p>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+<p>This brings me to a question of how accurate the estimated loss Prosper calculated in comparison to the actual loss investors have to suffer</p>
+<p><img 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" title alt width="672" /></p>
+<p>Sadly, the forecast is not even close. The actual loss is much higer than the estimated loss that Prosper uses to determine Prosper Rating based on such investors may make their decision.</p>
+</div>
+</div>
+<div id="bivariate-and-multivariate-analysis" class="section level1">
+<h1>Bivariate and Multivariate Analysis</h1>
+<div id="talk-about-some-of-the-relationships-you-observed-in-this-part-of-the-investigation.-how-did-the-features-of-interest-vary-with-other-features-in-the-dataset" class="section level3">
+<h3>Talk about some of the relationships you observed in this part of the investigation. How did the feature(s) of interest vary with other features in the dataset?</h3>
+<p>We learn from Loan purpose that most borrowers come to Prosper to find a means to settle their debt. This explains why Bank card utilization of most borrowers is high, and most of them don’t have very good prosper score, credit range as well as prosper rating.</p>
+<p>Prosper uses Prosper Score and Credit Score to determine the Estimated Loss Rate. Estimated Loss Rate is then employed to calculate the Borrower Rate and to determine Prosper Rating. Term affects Borrower APR when Prosper imposes different service fee on different loan terms borrowers apply for.</p>
+<p>Lender yield, Estimated effective yield and Estimated return are all derived from Borrower Rate. That’s why these rates show high correlation to each other. And because they are inter-dependent, it’s not useful to throw them together to predict effect on another variable (for example: investor count). At best, we can only use one of them as the predictor (lender yield or borrower rate, estimated loss rate). However, the correlation between such rate and investor count is negative and weak (~ -0.3%). This can infer that lenders participating to Prosper Loans are quite risk adverse. Still I cannot find any factors which affect investors’ decision strongly. Prosper Rating is a good indicator, but not a dominant factor. Hence, I think investor’s choice to invest in a loan is quite intuitive.</p>
+<p>When investigating charged-off loans, I also realize that the estimated loss rate will not accurately predict the actual loss rate. Therefore, investors should be careful to base their decisions on such information.</p>
+</div>
+<div id="what-was-the-strongest-relationship-you-found" class="section level3">
+<h3>What was the strongest relationship you found?</h3>
+<p>The strongest relationship I’m able to observe in this dataset is between estimated loss rate and borrower rate. Hence, I will build linear model to predict borrower rate based on estimated loss rate</p>
+</div>
+</div>
+<div id="prediction-model" class="section level1">
+<h1>Prediction Model</h1>
+<div id="linear-model-of-borrower-rate" class="section level2">
+<h2>Linear Model of Borrower Rate</h2>
+<p>Now I will build a model to predict the Borrower Rate based on Estimated Loss Rate as they show good correlation to each other. As Estimated Loss was only calculated after July 2009, I will predict based on a sub dataset after July 2009</p>
+<pre><code>## 
+## Calls:
+## m1: lm(formula = BorrowerRate ~ EstimatedLoss, data = dtAfter2009)
+## 
+## ===========================
+## (Intercept)       0.075*** 
+##                  (0.000)   
+## EstimatedLoss     1.509*** 
+##                  (0.002)   
+## ---------------------------
+## R-squared             0.894
+## adj. R-squared        0.894
+## sigma                 0.024
+## F                712518.799
+## p                     0.000
+## Log-likelihood   194862.855
+## Deviance             50.292
+## AIC             -389719.710
+## BIC             -389691.664
+## N                 84853    
+## ===========================</code></pre>
+<p>So let assume a listing has Estimated Loss of 0.0049, what is the estimated value of borrower rate given confidence level of 95%</p>
+<pre><code>##          fit        lwr       upr
+## 1 0.08226263 0.03454436 0.1299809</code></pre>
+<p>Borrower Rate of this listing has mean value of 0.08, and 95% chance that the rate will be from 0.035 to 0.13. 89.4% variability in Borrower Rate can be explained by that in Estimated Loss. This model only uses Estimated Loss as the predictor because (1) it has good correlation coefficient with Investor counts (2) as Estimated loss is derived from many other variables in the dataset (Prosper Score, Credit Range, borrowers’ credit history, Prosper Rating), throwing those variables into the model can cause multicollinearity.</p>
+</div>
+<div id="multilinear-model-of-estimated-loss" class="section level2">
+<h2>Multilinear Model of Estimated Loss</h2>
+<pre><code>## 
+## Calls:
+## l1: lm(formula = EstimatedLoss ~ ProsperScore, data = dtAfter2009)
+## l2: lm(formula = EstimatedLoss ~ ProsperScore + CreditRange, data = dtAfter2009)
+## 
+## =====================================================
+##                                   l1          l2     
+## -----------------------------------------------------
+## (Intercept)                     0.159***    0.191*** 
+##                                (0.000)     (0.001)   
+## ProsperScore                   -0.013***   -0.011*** 
+##                                (0.000)     (0.000)   
+## CreditRange: 620-639/600-619               -0.007*** 
+##                                            (0.001)   
+## CreditRange: 640-659/600-619               -0.020*** 
+##                                            (0.001)   
+## CreditRange: 660-679/600-619               -0.033*** 
+##                                            (0.001)   
+## CreditRange: 680-699/600-619               -0.041*** 
+##                                            (0.001)   
+## CreditRange: 700-719/600-619               -0.049*** 
+##                                            (0.001)   
+## CreditRange: 720-739/600-619               -0.054*** 
+##                                            (0.001)   
+## CreditRange: 740-759/600-619               -0.057*** 
+##                                            (0.001)   
+## CreditRange: 760-779/600-619               -0.060*** 
+##                                            (0.001)   
+## CreditRange: 780-799/600-619               -0.065*** 
+##                                            (0.001)   
+## CreditRange: 800-819/600-619               -0.067*** 
+##                                            (0.001)   
+## CreditRange: 820-839/600-619               -0.066*** 
+##                                            (0.001)   
+## CreditRange: 840-859/600-619               -0.068*** 
+##                                            (0.002)   
+## CreditRange: 860-879/600-619               -0.067*** 
+##                                            (0.003)   
+## CreditRange: 880-899/600-619               -0.065*** 
+##                                            (0.008)   
+## -----------------------------------------------------
+## R-squared                           0.454       0.545
+## adj. R-squared                      0.454       0.545
+## sigma                               0.035       0.032
+## F                               70527.597    6764.427
+## p                                   0.000       0.000
+## Log-likelihood                 165141.180  172849.094
+## Deviance                          101.331      84.497
+## AIC                           -330276.360 -345664.187
+## BIC                           -330248.314 -345505.260
+## N                               84853       84853    
+## =====================================================</code></pre>
+<hr />
+</div>
+</div>
+<div id="final-plots-and-summary" class="section level1">
+<h1>Final Plots and Summary</h1>
+<div id="plot-one-estimated-loss-by-prosper-score-and-credit-range" class="section level3">
+<h3>Plot One: Estimated Loss by Prosper Score and Credit Range</h3>
+<p><img src="data:image/png;base64,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" title alt width="672" /></p>
+</div>
+<div id="description-one" class="section level3">
+<h3>Description One</h3>
+<p>This plot shows the effect of Prosper Score and Credit Range on Mean estimated loss. Estimated loss is higher with lower Prosper Score and Credit Range.</p>
+</div>
+<div id="plot-two" class="section level3">
+<h3>Plot Two:</h3>
+<p>Borrower Rate and Borrower APR by Estimated Loss and Term</p>
+<p><img 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" title alt width="1584" /></p>
+</div>
+<div id="description-two" class="section level3">
+<h3>Description Two</h3>
+<p>The second plot answers the question of what influence the Borrower Rate and Borrower APR. Since we can see the good linear relationship between Estimated Loss and Borrower Rate, as well as how Term affects the difference between Borrower Rate and APR, we have a better idea of what Prosper will look at when determining Borrower Rate and Borrower APR</p>
+</div>
+<div id="plot-three" class="section level3">
+<h3>Plot Three:</h3>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAMAAADDuCPrAAAAzFBMVEUAAAAAADoAAGYAOmYAOpAAZmYAZrY6AAA6OgA6ZmY6kJA6kLY6kNtmAABmAGZmOgBmZgBmZmZmZrZmtv9/f39/f5V/f6t/lat/lcF/q9aQOgCQZgCQkGaQkLaQkNuQ29uQ2/+Vf3+VlcGVweurf3+rlX+r1v+2ZgC2kDq2tv+2/7a2///BlX/B6//Wq3/W/9bW///bkDrb25Db/7bb/9vb///l5eXrwZXr///y8vL/bYP/tmb/1qv/25D/68H//7b//9b//9v//+v///+Xidj4AAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nOy9eZsdudHlV5J72PbzsMf2sNSj7vGiHvaobL8SX5U9uhRZ7LW+/3fyXTKxRgCBLfMgb5w/pLpIrIeIX+eCRD68qlQqlapKD3t3QKVSqWaVAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIKUJVKpaqUAlSlUqkqpQBVqVSqSilAVSqVqlIK0Ix++eYh0rtE9v90+/+fvk5mkzT8n+QdDFs6t/6HvzS1PlJXSwXmSB2wolwf6EXxP/LLbf64/Tkn/fHfenesVL99b+a18+eq9rl8YClAMyoD6NPDm9sfzZPO1CTp4FwAvWIkPzqxA1bQAF3QFEwhBIBexrFw3fnTO6wAZaQAzagIoE8PvQD6JEGM6eBcAH26eJilhtwBK2SAvvhz6Kt/muS9AbqS/dwP508rBWhCCtCMKD6xqgn61pqmA+ilc//jw8PbTLYJAFqiZ+fE7tkhKABAL64tvXH+9I8rQBkpQDNSgPbWGR9f/V9EnAY6FkBfvCuX64ne2/XA3gB9sZfsLw+EWQrQhBSgGSlAO+sCj7eCmDwUQC8dc3txMeH2WwE6txSgGSlAO+saoxeAZMZ3KIA+hXfOX9ZTUAXo3FKAZpQC6PPtjrvz3Mh7mnkt9nI9frs5v1y1xg9R1idVVE02wQ+0lyVDEUCXhwQemfxRcEmmUadi2zRbINbT1YfnKFJvHjj34owDLmO80Qa2FQK01Qv/H/nc8VunqYyXjvq3LC6NX1Nug7uN5E1Yxku8zqRr6jKep8Wwc7t2alBTJTVs4/TDV/+v/dPrq+cq5RrZV9KQgnkyiRSgGfEAfX548CZcAqBPa8Z3ztNYd7Y9eIkBQO1CgDBOLgUKAOqsKDCNh6Ogk9wa7NOflWyJAmQf3oYVuV17GznAADSyrQig7V4EAP3vZpVS/HjshUxdD/3x39z5wQ7uMpNuvlzHY3r21gEoNVXSwy4DKOUa01fCkJJ5MosUoBmxAHVmw20+8AA18XE+5BR7S1R0nYE+QO0Ut2HhzNn/IAaoW9E6g6NRkElWT07Seh2eLBBqPYd98rK6XXsbOkADNLatBKA9vPD+kf+H/9lmjObLE3VlbPz44/8SFaUG93L7t1464uT4nwxAqamSGXYRQCnXuL7GhhTNk1mkAM2IA6h9LOC8WEOsA32x0+XJmdlPZopfJ6WdYfby7I3twO3vZzPvTBrx3shSZxyw10LXNq9NmnPdYBTkwMialzGmCwQyNz9fHsLrwvU/HZEDJEBJ28QA7eJF+I9s/kFCOFwSuYtqOz+couTg1ns2r7/8385T/ReHltRUyQ674B4oWZzva2BI0TyZRgrQjDiAPtuYsE9EOIAu55pPzt/mJuCTE1wWALamJ/9W6Nu1IvdcRQSNJ9v4dVa/o0dBDszITXo250KJAnHPbDB6185vzfHQSxKgpG1igHbxIvhHfmeqDtuLb4FakUXJwb3Y/7y6SLZUI6dKdtgFACWLs30NR1U0T6aRAjQj4k2k68R4pmKCAajz1on5e83g3Qy8LvHxa/KOL4168Ike8L7S0PAKrSFNjIIcmHd4CYO1s5kCXPFnHwdvwgxpgNK2SQHayQvvH3mt7yX+9/CaC0QVpQfn5nQHevn76g81VfLDlgOULJ7v6zqqonkyjRSgGSUAGv8nngGoO9XfOvVG5QmAestczoWWm4J2mkuh4cfGgi9iFOTAvKrtDTHzNCP3WpEzANeht/EQTNczZ6CuigHa2wv3H5noYQ6giaIBlJzHMRZG6zkgNVXCtuJhywHKFOf6Go6qZJ7MIwVoRhxAneehVjRAw5uGpt5wOjmX+E/OlawNlcsEfReEz5LmiYKGfwLg3L8kto7gn3k4PXt+cB9DyNZavpBXoeRaSDlArW1SgHbygvxHLgeocHCBd/FiCGqq5IctByhTPNNXM6qSeTKPFKAZsU/hzaN1J/bzAPWmlYkBl9IxQH29DdeYP8mg4RdamydGQQ3M0YtzwfhOUiDohInBZ3OW8lwJ0Mg2KUA7eeH+I6comLkHKhycM5Po1WTUVBEMWwxQpjjTV/K2tXSezCMFaEbydaCvHEDde+wUQP2J7wPU2wOtBaDBfXtzDlO69tEY4gxMvL7PWwZzkX8u6ykLUMI2IUB7eSEFaOYpvHBwAUBtG8s6UGqqOGlf/ZMbthCgXHGmr+mVZ4e5G6oAzSj1JpJdjRktvZED1Pmv99v4HmgcFW/6ApQYBZnktffmNehEsoCVv2TQ5K4BKGlbI0BLvZAClLpf+Nv/Xjq4coC+2QKgXF9JQ4TzZCIpQDPKvAu/Tp/wybEYoLcp7iwOiS/ho9tn3s2utkt4ahRckq18efnQa5YvYBSHuDnzK72Ep21ru4Qv9kIMUOJNpPUZmnxw7CX8AlBqqngAHXIJz/aVM0QwT2aSAjSjDEAvskuJKwDqLdijARqdnXnAaXqIRI4ilWQ6+cJd0ybcChq9WBA/Pl5FA3Stgrat6SFSehzU0MQAJW6CrielVFF6cMFDJO/0P36IRGnEQyS2rylDMvNkJilAMxIA1P63vAKgHgztbHSfdUdw8aY51UHx0h1yFMmk1yWQnsg1KXSBVU/BWNbHSB7B1pHTAHUWFRK2NS1jyoyDSBID1Hlg5uRyNhPxi9KDczvtsXK1lTyRFwy7aRkT29fsf1GOsaRJAZoRA1BvIYn5UQdQLxRCgHr/hV86E73FU7t4nBgFPbCwpj/+P2aZoaAA1YN1bOtLjG+cTMHZfECO+GzI2NaykL7CCzlAL4luL+yLPAxAicG9BDdmo4X01FTJDvtVDtD86wduX8NRyefJVFKAZsSdgT75p0Vm8bezH5sIoO6UvT5jCa/cn2ysmKe5zppk96U5Iwoa5It4xCjIgUU1/a/e0oNcAdtVr6dmW2HnPwKmNt9Ly9L4bMjaJgVoJy/kAA3euDXv/tNF6cG5qc5z/WtdxrJoqmSHLQcoWZztazQq8TyZSgrQjDiAXm/j3GaT3bnBXgwW3QM1OS1A/ZqcFevXrHaHhtsSEhE0rnfv7VYQtkp/FOTAfN16up5BCAq8rp0OYnr9D4EBivOtC+uAGa2zdQptmxigfbwoAKj3D3X9m/gmkrfkPBqcBx2T5bYyzNmXJpgq2WEXAJR1jeorPSrBPJlLCtCMiDeR7Fmg0TLrXswP+TKmcGmPuaxaq31xj76JevXVfyGhQVTqpVJbuJlFRdHACE8sCzkniCcHwVNi8xjJ7ZoNa8KBN+uaA9I2BqCjvCgBaLjM3dkfIS5KDi66BenIvtLlWEV0ghq2HKB515y+ZkZ1kBNQBWhOLEDd2bpOliXzu6KF9E5kvTW35G1N3rT1biIt8/VJCg13LCa6iFEQSYGeH7z4ZOp4FxcKO2ouOm3X3JuhD/7JzeXgk3caF9gmB2gXL4oA6nfE/EPSRanBBXAzOPrD/2aroKaKJ2bYQoCSxZm+EqPKT6z5pADNiAeomRDuxcjTMncLALo2ccnmzNW1pqVgFBO3Uu+4daC+1i4uTXkVEaMgkqL6vTajAjFAyfcZX2yhW58pLy96Xh16CoPZta0AoD28KAPoq2GNyyimKDG4CG7rXQFvFRg1VTzFwy4AKOka3dfUQvqDXL5fpABVqeYWuYxWtY0UoCrV3DrmRpuTSAGqUk0nl5kH2t59QilAVarp5D6Qox7OqbaSAlSlmk52TSX5FTvVZlKAqlTzyVtTqY+Q9pMCVKWaUEfcnHhGKUBVqim1IFSfH+0qBahKpVJVCgCgpwrVlequT3t34KRWOFIrrDC8mNgKIb0UoC1CmB9qhZFaYYXhxbRWPEjBqABtEcL8UCuM1AorDC9mteJyc1lGLwVoixDmh1phpFZYYXgxpxUXfOol/BZCmB9qhZFaYYXhxZRWXPmpAN1CCPNDrTBSK6wwvJjQihs+FaCbCGF+qBVGaoUVhhfzWbHyUwG6hRDmh1phpFZYYXgxmxUGnwrQTYQwP9QKI7XCCsOLuax4cPipAN1CCPNDrTBSK6wwvJjKChefCtBNhDA/1AojtcIKw4uJrPDxqQDdRAjzQ60wUiusMLyYx4qQnwrQLYQwP9QKI7XCCsOLWayI8KkA3UQI80OtMFIrrDC8mMQKgp8K0C2EMD/UCiO1wgrDiymsoPCpAN1ECPNDrTBSK6wwvJjAigeanwrQLYQwP9QKI7XCCsMLfCsYfCpANxHC/FArjNQKKwwv0K1g8akA3UQI80OtMFIrrDC8ALciwU8F6BZCmB9qhZFaYYXhBbQVKXwqQDcRwvxQK4zUCisML5CtSPNTAbqFEOaHWmGkVlhheIFrRQafCtBNhDA/1AojtcIKwwtUK7i1S14pkRSgLUKYH2qFkVphheEFqBV5fCpANxHC/FArjNQKKwwvIK2Q4FMBuokQ5odaYaRWWGF4gWiFjJ8K0C2EMD/UCiO1wgrDCzwrhPjcGKBfHt9HKWd9R/8K1OzJfkKYH2qFkVphheEFnBVifm4K0F9/DAH64fGqb/9B/ArV6smOQpgfaoWRWmGF4QWYFXJ8bgrQMz8DgH68Jvz8w+Of/xX9itTmya5CmB9qhZFaYYXhBZQVgrVLXimROgD0TMYAoOsZ6fnIX8NfsVo8WfT5ovD/L3+uCUFWUsQhMnuiCr8s15rbQWYAcpWX6Ce3bYRQwYAGhBUgXiBZUYTPDQF6vj7/z//NB+gXe+3+XfgrVoMniwKyRdiKs24hvrWTl4kYgFzlJfrJaxshVDCgAWEFiBc4VhTiczuAns8r3//+Nx+gH9aL9Y8Xdvq/YlV7skrEMmnWjhK1RvZK7EN5iX7y20YIFQxoQFgB4gWMFcX83A6g//VfrwFAzz+XU80vj3/6u/+LqKHWk1VSTAmzbi36NoFM5SX6KWgbIVQwoAFhBYgXIFaU43Pbp/AxQJefP/9wBajza8ny6Ki1dQmlCrJuLbJX5UNvdbFYe7atUhXows9hdfeoJACoXdV0Qab/a8miADVSgKpUAzUSn+MB+vhX/xdRuu6s3P4toZQ44/bSS/huwrhshbACxIv9rShbu+RIyL6dzkBd1Y3O/i3EFCg/FaD9hAENCCtAvNjditvpZ01JIft2ugfqqm50zg8Zp1ogN1D0AKQ+FBfoKL/t3UPlhAINCCtAvNjZitvZ54wANc/dv/2H/4soXTc699cWoKtR6TrQIFWi4gId5bWNQA0MaEBYAeLFvlYsV+/TAdRd+Xn+w/8Vq2503s+u2Oun4jeRglSJigt0lNs2AjUwoAFhBYgXe1phbn7OB9Ct30S6aCAHq8X06xQD1BuFYPxOvh0jxe0tAjUwoAFhBYgXO1phHx7NB9DN34U/TQXQ+BI+GER2+G6+/SLF6y0CNTCgAWEFiBe7WeE+e58PoHvsxjSMgg2S9IscQ2b0Xr7dIsXvLQI1MKABYQWIFztZ4a9dmgig5z9ukNx+P1ACTY34axfdLyJTNITk4P18e0VK0FsEamBAA8IKEC/2sSJY+jkjQDffkV5AMyn2+knWsc/Es/jk4P18ClAjDGhAWAHixR5WRCvn8QHaprrR+b974K6/5D0LB5EcvJ9PAWqEAQ0IK0C82MGK+M0jBSg1uvWvDpwbpoL+BVmTg/fzKUCNMKABYQWIF5tbQb24qQClRrf80U65gSrp4EkB2iwMaEBYAeLF1laQL74rQKnR3f6/mXFDVdLDkxygOzyFpzrldxaBGhjQgLACxIttrWD2DVGAsp60M26oSvroZc0N3822RaTQ3fJSEaiBAQ0IK0C82NIKdt8lBSjrSSfQjdKpoJNu1vz4nWwbREowIKoXENTAgAaEFSBebGgFv22dApT1pCftBmjpbJjG5/XLJeRkGx8p8YjiXkBQAwMaEFaAeLGZFaldPxWgrCe9iddZS2fF2cOCrNxs+wHUS0OgBgY0IKwA8WIrK5K7JitAWU/aGTdU9R1Mj97LthtA/UQEamBAA8IKEC+2sSKz6bwClPekFlDbqL57ycH7+fYCaJCKQA0MaEBYAeLFJlbkPtqhAE140owqTCUH7+dTgBphQAPCChAvNrAi/80jBWjKkzWCt8DadkoO3s+311P4oLcI1MCABoQVIF4Mt0LyzTgFqMSTzdi2iZKD9/PpGagRBjQgrADxYrQVok9uKkAlnmxEto2UHLyfTwFqhAENCCtAvBhrhfCLxQpQiScbkW0jpUfvZVOAGmFAA8IKEC+GWiH94rsCVOLJZmzbQrnhu9l0GZMRBjQgrADxYqAVUnwqQNOemBDeDm/DNNmbSF4aAjUwoAFhBYgX46yQ81MBmvLEBvFGkOshpq/yN5FIK4bJ7WJ8YPkbgRoY0ICwAsSLUVYU4FMBmvLEiewRpBujU9TZYDDCa/jgr2ES9QuBGhjQgLACxIsxVkjWLjlSgLKeDOXcGNH9DlMzw7e5ZPnbJOoXAjUwoAFhBYgXQ6wow6cCNOHJIMj1EtU/pttBcnr0RAM1Jkol6hcCNTCgAWEFiBcDrCjFpwI04Ukr4QaL7B+/nZ3/ixdXfpRErSBQAwMaEFaAeNHfinJ+KkB5T2rJtqsUoKOEAQ0IK0C86G1FBT4VoAlP+lFtd50UoM3CgAaEFSBedLaiip8K0IQnTmT3o9cuOilAm4UBDQgrQLzoakUdPhWgSU+cwB6Ftm10UoA2CwMaEFaAeNHRisK1S44UoClPnLj2eNIbcB0121N4USsI1MCABoQVIF70s6IanwpQuSchgfoxr68mWwcqagWBGhjQgLACxIteVjTgUwFa4EkCSVCa600kUSsI1MCABoQVIF50sqKJnwpQuSchgsYhsFGZTd47WNFVgm4hUAMDGhBWgHjRxYo2fCpACzxxERX83kOi9on+97Cip8i+BkKgBgY0IKwA8aKHFa38VIDKPaki2DiJCE70v4cVHcV01hcCNTCgAWEFiBftVjTjUwFa4MkACLaoFKBUWq0VHUV3NhACNTCgAWEFiBetVtSvXXKkAM16YoK7LwBbVXgJTyaWWjFAon4hUAMDGhBWgHjRaEUPfCpA856U8ApO0TD8xEIrRkjULwRqYEADwgoQL5qs6INPBWjWk62R11fkOGqtGCJRvxCogQENCCtAvGixohc/FaBJT7bmXXfZQZGJBVaMkqhfCNTAgAaEFSBe1FvRDZ8K0KQnW+Ouv+ygyES5FcMk6hcCNTCgAWEFiBfVVnTkpwI04cnWtBsgZ1RUmtiKcaI7GwiBGhjQgLACxItKK3riUwGa8GR73PWXOywiSWrFQDGd9YVADQxoQFgB4kWVFV3WLjlSgLKe7AG83vLGFadIrRgorrOeEKiBAQ0IK0C8qLGiMz4VoAlP9kGeWPoq57bCgAaEFSBelFvRHZ8K0IQnI6jXUZIOuqMiE4VWDJWgWwjUwIAGhBUgXhRbMYCfClDekzHc6yZBF91BMckyK8Yq3ykEamBAA8IKEC8KrRiBTwVoypNh7CsT0w9xD+NdUDJyMukZqBEGNCCsAPGizIox/FSApjyp4l13Jb5TVFthUm4uvQdqhAENCCtAvCixYhA+FaBpT+oARUKrpSxZuL536dG72QTZWyXqFwI1MKABYQWIF3Ireq9dcqQAzXhSS6kYWp1qMjXWl0yJaKHGQ7FE/UKgBgY0IKwA8UJsxTh8KkDznlRzKqRWp4qalR58eYk2iZpBoAYGNCCsAPFCaMVIfCpABZ70wlafepqVGXxNmRaJWkGgBgY0IKwA8UJmxVh+KkBFnnThVodKOig3+KpCDRK1gkANDGhAWAHihcSKwfhUgIo82QZtwyUafH3JSkkaQaAGBjQgrADxQmDFcH4qQCWebEW4sRKOvqFonQRtIFADAxoQVoB4kbViPD4VoCJPNqTcOImHv+avKVulfBMI1MCABoQVIF5krBi4dsmRAlTgyeaw66MVTcsPsdb8TkU7C4EaGNCAsALEi7QVm+BTAZr2xAEQnKhunXzY1wzeVadq2oVADQxoQFgB4kXKio3wqQBNejKegg2iuhf2uWb0Vp2q6SAEamBAA8IKEC8SVmzGTwVowpPRCMwr1Q3qUJTmjStOSYqrZgchUAMDGhBWgHjBWrEdPhWgCU96UbBBp0RHyPQw0R0WkZQUU80eQqAGBjQgrADxgrNiS34qQHlPylBXlFtaaaofzIpNqga/GqkNdDW7CIEaGNCAsALEC9qKTfGpAE14Ugq7svzbVGkHRSYmVV5imBCogQENCCtAvKCs2GbtkiMFKOtJM70a9alDD+ygyMSkyksMEwI1MKABYQWIF4QVW+NTAZrwpB1fTTp96lGJEZmYVnGBYUKgBgY0IKwA8SKyYnt8KkBTnnQAWL36NG8HRSZmVJp/mBCogQENCCtAvAit2IOfCtCUJz0QVq3a73X4v4zIxJwKsw8TAjUwoAFhBYgXvhW74FMBmvakkn1dBHAGihIpENRQK6wwvPCs2ImfCtCMJz0oVqe6pvl19GRiiRXDlO8VAjUwoAFhBYgXjhV74VMBmvOkHoCtyn70nUxMvAtPJhZYMUqCfiFQAwMaEFaAeGGs2HztkiMFaNqTRgo2KNM03bfkpTqZSMjJp581NsKABoQVIF6sVuyITwVozpNOuKtQukaudx12Y3IKN9RS2Fq6IQRqYEADwgoQL25W7IpPBWjGkxYCNqoOoFSuMjmFG2opb04BKhKCFSBeXK3YmZ8K0KQnNeDrpR4ArWBfn1qq2uMzIVADAxoQVoB48Wl/fCpA054UEa+zJAAVdbBs8B2qqG2Pz4RADQxoQFgB4sUnAH4qQJOeiGk3QD5a4sPyHhYNvr2GMolaQaAGBjQgrADxAgCfxwfopwrZUiXA6y23caonBR0sGXxzBaXapJEOqptLxxSCF9e1S3t3otYKIb0AANr2HxU57sY+hWc+3yFfIyBXa/lyCdpAOO3COOuCsALBC4jTz9Pxz0AbPSkAXm/tBNDtvwuvbyKVCMGK/b244nNiK4T0mh+g8VeHpMxq1l4AtWeEdcVHCCFUdofGTQhW7O7F7fRzYiuE9DoAQPc7B82+ylnQubLxh9XXeNhXCKGyNzQWIVixsxfr1fvEVgjpdQSAnvZi6H4ADUZeW7ijEEJFAWq1qxfm7ufEVgjpdQyAtlCwRZlH7AV9cwfSZMVeQggVtcJqRy+ch0cTWyGk1yEA2ojBK7Q61BFXKu6cP5AGK3YTQqioFVb7eeE+fJ/YCiG9jgDQXrDrUk9QZw0/AfcDzQshVNQKq7288NcuTWyFkF4HAGg/2PVGqKhKciCVVuwohFBRK6z28SLc9nNiK4T0UoC6yOpTlVenrOGw9UordhRCqKgVVrt4ES2dn9gKIb3uBqCSJ+YK0HohhIpaYbWDF8SbRxNbIaTX3QBUsH28ArRBCKGiVlht7wX15ubEVgjpdT8ATRO0rCppi5IqyYFUWrGjEEJFrbDa2gv6xfeJrRDS6wAAFZ+CJjKW1SSVqEpyHLVW7CeEUFErrDb2gtk4ZGIrhPQ6AkDb74KWVSSWqEpyGNVW7CaEUFErrDb1gt13aWIrhPQ6BEAbwderHrLiutbrrdhLCKGiVlht6EXik8UTWyGklwJ0coAWZh8mhFBRgFpt50Vq28+JrRDS6xAAldFMwDBRRXKJqiSHITaiNP8wIYSKAtRqKy/SuyZPbIWQXkcAqBBmAoiJapJLVCU1ELEP5SVGCSFUFKBWG3mR2XV+YiuE9DoAQDuRrlNVUbVEKtW0m1dsA1fPDkIIFQWo1SZeZD/aMbEVQnopQF36dKgqrpZIjFv2c2bHv+QihrCXEEJFAWq1hRf5jx5NbIWQXgpQlz4dqiKqjdLihsN8meGvueQlhgshVBSgVuO9kHwzbmIrhPRSgFr6dKiIqDW+YqfyBOnp0aca20sIoaIAtRrtRWLtkqOJrRDSSwH6eTQ/IzDSueQATbe2kxBCRQFqNdgL4SeLJ7ZCSK8DALSZfH1qYarN1kxmSQ4+3dpOQggVBajVUC/EX3yf2AohvY4A0C7r6Nvq4OvN1kxmSQ4+2dpeQggVBajVSC/E/JzZCiG9DgHQavq1lRZVnq2dypIefKq13YQQKgpQq3FeyPE5tRVCeh0DoKdKCtaX7Fd7MT8VoJwUoFbDvCjh58xWCOk1NUBdckiARlJHUFBeYUX1hTdAvTr1TSRPClCrQV4U4XNqK4T0mhmgHjtSVDKkJVCVBVxC/QEqHL7NXVZuoBBCRQFqNcQL2dolRxNbIaTXxAD1qZPkli2Y5VmJdgOoc+5dVGygEEJFAWo1wotSfE5thZBe8wK0CFSmYJZnJdoPoL4VCEIIFbXCqr8X5fic2gohvRSgDTp9sn9yreYradxTSalhpFZYdfeihp8zWyGk150AdNBH4zoA1O1XjRNKDSu1wqqzF1X4nNoKIb3uBaCtz4voOrNNSvcDtX/J5OTfkRpurxFCRQFq1deLSn7ObIWQXocBaJ6gWZBlWVdeJfk0i0gqlFt0P2p4A0AIFQWoVU8vavE5tRVCeh0HoF1e6CyqxH/8w9RJtUI1XCKv7G7U8EeAECoKUKt+XhSvXXI0sRVCeh0IoI0vdFbU4feBqZhqi2tdJr/wXtQIhoAQKgpQq25eNOBzaiuE9JoXoDQw55oAACAASURBVOSz6yL+NZeXnIFmCeqNK04h5BdWgBopQK06edGEz6mtENJrYoCSz67LCOiXLy8peApP1HtiAUokEfILK0CNFKBWfbxo5OfMVgjpNTNAyfO1Ygo23AGQLT6lDsS5vJzpwfuFFaBGClCrHl604nNqK4T0mhqgocoR6OCqpqCk4lxBsvvJwfv5FKBGClCrDl6083NmK4T0OhJAC9Am41y2oKBiWetR/5PysulTeCMFqFWzFx3wObUVQnodCKBFbIsQVpBf3Ahfb+4JWGb4bi5dB2qkALVq9KJl7ZKjia0Q0uswAC2FW0greXanXKY9Sb30EHLjdzLpm0hGClCrNi/64HNqK4T0OgpAK/jn0KqymGQdqKSaeAwtVuwjhFBRK6xavOiFz6mtENLrIACtIqChVV2psz55v8gsonrCURQ4UZp/lBBCRQFq1eBFP37ObIWQXscAaBUBG0S0S3VD1DViHAVGlJcYJIRQUYBaVXvREZ9TWyGklwK0RkS7VD9EXYsHUuADXUt/5dtACBUFqFWtF135ObMVQnopQGtEtEv1RNS3muHz7Y+RoA2EUFGAWtV50RefU1shpNedALT3VvRxu0RPyM5RCdXqVI24mUQehFBRgFrVeNFp7ZKjaa1QgGaw1aywXaInZO+intQMn6i5pZoerSCEigLUqsKL7vic14rTnQG0+p3KBgVVUg1QnSMTatWpmh6tIISKAtSq2IsB+JzViqWUSAcBKAEvKuxpEjKEzOkUoIXMEbbKpdSpUzU9WkEIFQWoVakXQ/g5pxVrKZGOAlBiCRER9XkO+oe4A1ET/JtIZNe6ka9PLdJGwmbcJIRQUYBalXkxBp9TWmFLiXQYgN7kRXoc9hzkOEIy6aZo3X6gxHZ2fjcLFI5whOIREW0jhIoC1KrIi1H8nNAKp5RIBwPoKaKSF/c85VKg5HSZHxQSw2aJA0GmoJslqi5Y2kbUjp+KECoKUKsCL4bhcz4rvFIiHQ2gDlBEKPscnKyWqPoMNMwUFuhkRT9R3QvGiRAqClArsRf91y45msuKoJRIRwKoH+QUyjiCphHHoy+bgW80WaLZit4iOhf0GiFUFKBWUi9G4nMyK8JSIh0IoClqhZn8gwWEKyqYaDNdIisns+5Ib6QAtZJ5MRafU1kRlxLpOAANQMSAqYaDPO4ylfBNsjXK5OZWgBopQK1EXozm50RWEKVEOgxAE2z7vAlAuXWgZTWK5GVXgBopQK0EXgzH5zxWkKVEOipAWTBRB4sYxxSs3lA5KpGVn1+/iWSkALXKe7EBP2exgi4l0t0BNLOoqAx33obKdKtlFYrkF9BvIhkpQK1yXmyBz0ms4EqJdCcATRK0/in8JxcidKNlFYrkl9BvIhkpQK3SXgxdu+RoAiv4UiIdF6DspkcUt0ow55T75EGE5GFRfTL5RZQaRmqFVdKLjfA5gxWJUiIdBqBZUvF57MVoAe0+ZwEq65afWyS/lFLDSK2wSnixGT7xrUiWEul+AMpfqTPvYwpuC6Qv4YX9cjPL5BVSahipFVa8FxvyE92KdCmR7gmgAojxv8js7kMk6risY25mmdwySg0jtcKK82JLfIJbkSsl0h0BVEQx7gedPVdbQb+Khu+WUWoYqRVWjBfb8hPaimwpkRSgPsW4H3T2XG1Et7ielozeK6TUMFIrrEgvNsYnshWCUiIpQH2KlWXP1RZ3i+tpyeD9YkoNI7XCivBiq7VLjlCtEJUS6TgA7UHQ8QBlzkCLBu+XU2oYqRVWsRfb4xPWClkpkY4D0CL08cgryp6vTgbQssH7BZUaRmqFVejFHvgEtUJaSiQFaAZ4yfwV9UVJ5YP3Cys1jNQKq8CLffgJaYW4lEgKUHcdaMMlPHdhTqTFmcrkF1ZqGKkVVp4XO+ET0YqCUiJ1AOiXx7O+cxJ+/9uj0Z//5fy+/BgD0CLuxUxjcZcpGFcSVEy/3xklFMorq9QwUiusXC924yeeFSWlNgLohxscv/0HC9BffxwN0DLuUUyrqqcSoEzjBXLLKjWM1Aor68V++ISzoqzUNgD9+Pj4/vX15x8oOn58/NPfXy8HaXIuavekkHsU56oqqthQOUypGTwMQN0RIISKAtRq9WKHtUuOoKwoLSVSK0DPZ5fvX6+QfPxreOycdj32xbvAj9TsSSH2SMzV1JRddk9VegrvYVbIK677gRopQK0WL3bFJ5YVxaVEagXol/Xa/UNMyQ/LWenHG0c5NXtShj2Oc8U1nYTvwkeX7GTTBfLL6470RgpQq6sXO+MTyYqKUiK1AnSF5JmSzl3Qq748LielH64X8qyaPSnCHk3Cipqy+elaT0cBaDAKhFBRgFpdvNidnzhW1JQSqRGgv/9tPfH88hhg8nzoxtZff/z2338MHtS7avZERjsB6aLL7VyJXJtErpMCdJgUoFbn0N4dnzBW1JUSqR2g729//fxDAFBzAvrzD4/Rg/pHR209OCuJsZuS2cqqckuIMr2GqXTTVeOtM6yLMHqh4nTh5959uAM1erw+QyIAai7uvyzrlz44D+q7ApTkmJeYyZo8mipRnilIIUdSMNxKw3oIoxcqWorPjdQRoP5jePt7vTt6PluNHtRf1HZWzuHLPeIUpLPmKuNKSDKl0/xhkYmxvNJ6CW+kl/CL9l275Gh/K07Yl/D8GWj8UIl6UH9RkycpfElxZ6tNApEoIciUK+iOikyk5GbTp/BGCtCbbqefe/fiot2tuAgZoOw9UPt0yeoj/SpSiyc5xEV/V+OQLJXPkQUoje/c+J1Mug7UCAMae1txO/vE8AJhVqAD1DyF9844z6em0fV6f4Cm2eWHeC5v8WqofJG4VqItOygykZaTSd9EMsKAxs5WLFfvGF4gzAokgP709cPDV/90U5x1oB4dv8RX8BsCdMklYt0pzCyWt5Ceq5pujmi/BKBuLoxIgQgVtcIu/cTwAmFWQAD0l28u3Lzw8+HhD3+hQBnc4LSwtFf5H+g3kho8YckmXtGZ5Gf2DNP9rLGoH5/j02E7KDKRkpcNI1IgQkWtsA+PMLxAmBUIAH15ePjjv73+9v316d7lTyPuXXiHpx/Ngnr6jaQGTziwRUdSqD1xVeUv0QVnoDRBc11IDt7PhxEpEKFy71a4z94xvECYFQAAvZx5ns87z/93Zufzw8Nb5xi9G5M97bwe++6Vfqw0DKBRCptzlagaYa1+7VRyrgvJwfv5MCIFIlTu2wp/7RKGFwizAgCgZ2a+uf3fBZ1P1x9G7n6gzuubzgnpl2XFPPMuZ4MnYrBVATQPyNxxuuqTAnSM7tqKYOknhhcIs2J/gJ4v3S93QM//d739+eJdw3s70tMAXXZYJlfR7wzQxnugueN01ScF6BjdsRXRynkMLxBmxf4A/eWbh3e3/7uSMwRoqxo8yQDMBU2OcuQ1fHWlXtVEMtG+m5oevF8YI1IgQuV+rYjfPMLwAmFWwAD05XYhfzSADl4HSuTyU5xRUWmE/MIYkQIRKvdqBfXiJoYXCLMCBqBPD9f/e30OloK2qsGTAtjlObesC5dXWQ1QsnW9hG/WnVpBvviO4QXCrNgfoL99f3l4tN4CPeP0TbZIiVo8kdMuz7lTWZXhlThfca4WouX06L1s+iaSEQY0NraC2TcEwwuEWbE/QM/nnmd0Pt9eQrosaXrXgMtYTZ5UwY5nmLzGzwGVqYJ0jdwF/HRvInl9RQgVDGhsagW77xKGFwizAgCgtzeQruA8X8d3voLvsZ1dxVvpLK0yNXEoFAOUByXbpVhOJt2NyQgDGltawW9bh+EFwqwAAOjl7HMB5/ND50dIPT5rnF8Gz+RJUyyrGoCeugA0YcVWCnqLECoY0NjOitSunxheIMwKBIBensCvj+D7Xr+/dgEojcWARzwHMzXxBZnmgorDJKZp8VP4pBWbKRgFQqhgQGMzK5K7JmN4gTArIAA6Uh08yYEunYuuRQBT77PG8jPQkOxE+/VWbKagtwihggGNjazIbDqP4QXCrFCA5j3Joi51DkpXIqnWByi9bUiYHqQwo6i3YjMFvUUIFQxobGNF7qMdGF4gzAokgMb7gXZQB09ypPuceA7P1CGpN3eXlao5TKJHUW/FZgp6ixAqGNDYwor8N48wvECYFRAAZfcD7aAOnmRAF9GOQBV1oKRKqhKq6iiJHEW9FdvJ7yxCqGBAY7wVkm/GYXiBMCsQAMrvB9pBPTwJGJUjH8Ep6mC2eFwVVT2RRvaB7lipFdvJ6ytCqGBAY7gVok9uYniBMCsAAJraD7RdXTzJsY4hYLKC/LOpsCq6+nQS1YcmK7aT21eEUMGAxmArhF8sxvACYVYAADS5H2iz+niShSWNwKbyPe6BUo+RGq3YSl5vEUIFAxpjrZB+8R3DC4RZsT9AM/uBtqqrJ4UErC24FPer4qonEuk++Od0rVaMlj8ChFDBgMZIK6T4RPECYVbsD1Dc/UAjVUCwvmjdq5zptfT9rOgqoqfBEBBCBQMaA62Q8xPEC4RZAQNQwP1AI9VQsL5sHUCzb3P2saKn2K7adIRQwYDGMCsK8IniBcKsgAEo4H6gjsrxFxGsvKRXC1szkUw1f4K9B5rq65qMECoY0BhkhWTtkiMMLxBmxf4ABd4P1KgYfiTCSstxP/x6iXSyddSn8JnOKkADDbGiDJ8oXiDMiv0Birwf6KIy8jGgEy7Id84TqeS4WrYGvvUGK/qL7leQihAqGNAYYUUpPlG8QJgVAABF3g/0Kgn4eJkaosc9uXLJvGzvyNX2p9kAqk/hOfW3opyfIF4gzAoAgMLvB5oGXU62gnDFUa5grlpJ78hR1FsxQFy/vDSEUMGARncrKvCJ4gXCrEAAKPh+oBnO5WjnnkwJi0iOC7tHDqPaihFi++UmIYQKBjR6W1HFTxAvEGYFBEBHqtkTiklEGo+w4gOi43z/6GywABU93EIIFQxo9LWiDp8oXiDMCgVoxhOaSfkke6j0gMmQPsp3kMwG+xRetLwKIVQwoNHTisK1S44wvECYFSAA/eWbETsxXVTvCUOxkzmWTjNHOLKlydcfoKjrQCUL/BFCBQMaHa2oxieKFwizAgKgCz6HILTakySRyFQmN1NPGnydnsL74yKSRFbsI7e3CKGCAY1uVjTgE8ULhFmBAFCHnzgbKrNYu4lOJ/MyFTENODmS30Q68T0hMlVLd2MywoBGLyua+AniBcKsAADodSfl29P3F5h1oDzWFpHpsqxCnecHX7foTaSascdW7CN/nAihggGNPla04RPFC4RZAQDQFweaF5hCvImU4NoiKpnOWUnQ4KNyXPVc//pIv4lkhAGNLla08hPEC4RZAQDQJ/fGJ8q78CmwWYWpXEY5Nd3icVVU9XzvekgBaoQBjQ5WNOMTxQuEWbE/QG+biRiB7MaUAptVmMrmFTLTLxvXQ9XNdq6HRtQpaiUYEkKoYECj2Yr6tUuOMLxAmBX7A3TZzm4VyH6gKbBZhals5iwtqZKZahJpvTSmVkkrwZgQQgUDGq1W9MAnihcIs0IByniSIptVkMjmztGSLBe3SfWD6VkPDas430owKoRQwYBGmxV98IniBcKs2B+gmJfwqXczXQVpXPYsL6lycZtUN+iexT0tFzfmvmJa8RMRQgUDGk1W9OIniBcIs2J/gGI+RDqxbyLxi9M5ELKH0grQwvWC7BnZ1VKxY+4qrhUvDSFUMKDRYEU3fKJ4gTArAAAKuYzJiCEiIY6D3MGSd+FlC+njtJrRm/8oCMbcQWwrbhJCqGBAo96KjvwE8QJhVgAAFHIhvRFHxEgsB9l6uBLEcdmrnImkElHtj5OoFYRQwYBGrRU98YniBcKsAACo/yon2obKLBED8RzMZWALpo8S9RItVYw+2Vp/iVpBCBUMaNRZ0WXtkiMMLxBmBQJAMTcTWSSFSZ50qUxkwfRRok6iEZsiHXx2EL0laQQhVDCgUWVFZ3yieIEwKyAAirmd3U1SmORJl8xFlcscpqqMmnByCAefH0RvCdpACBUMaFRY0R2fKF4gzAoQgI5TqydSmGRJl8QhWSx3nKqXAGim46KBVJhYoHwTCKGCAY1yKwbwE8QLhFmhAM14IoVJjnRJGtKlnM1EEkwLk8Nc2Z4LBlJjYlchhAoGNEqtGIFPFC8QZgUcQJ9A3kQyytDEJCVISB9NMvVSxt3OrqhmLxPbc0ZED2s87CuEUMGARqEVY/gJ4gXCrFCAZj1hwOUdofLJKccU9PYDray6DaBdXmjqIYRQwYBGkRWD8IniBcKsUIDmPaHBFSwXYjFIVSHRKb0j/TYABYkUiFCZzorea5ccYXiBMCsUoHlPaHAxNwtpXqUpx7DPr4poi6w6fCxPd4iXnx8jUiBCZTYrxuETxQuEWaEAFXgiAhdJPboGmcKqouOCqr0MwtF7+TEiBSJU5rJiJD5RvECYFQrQvCcV4KrJG5X16xHW3bwO1M+PESkQoTKVFWP5CeIFwqxQgGY9YcglpKA8a1TUq4apWrAOtPxRkJMfI1IgQmUiKwbjE8ULhFmhAM150khFec6opFcL0wvJm0gN6lFHDyGECgY0JFYM5yeIFwizQgGa8aSZitX8zACU6CDR4ZrhR4Nvq0TYTDIHQqhgQCNvxXh8oniBMCsUoBlPmqlYC9CK7ewIgtYMP666qRZpM6ksCKGCAY2cFQPXLjnC8AJhVihAM54Us07MwVzVNa9yRh2uGT5Rc0s14mYSeRBCBQMaGSs2wSeKFwizYk+AevuAjtoRtNWTDOXyN0TZK/E8QO25Gdvw/AAVtYIQKhjQSFqxET5RvECYFQrQjCcZyo0FqLk7yDZ8iq7h6Uw16lRNj1YQQgUDGikrNuMniBcIs0IBmvMkg7k8QP1rVPsjW7EQoMn1ojXDp+sdJVErCKGCAQ3eiu3wieIFwqyAuwfaW82ekOwKoz7FweApCVEFU1B2CR+egjKZKtSpmh6tIIQKBjRYK7bkJ4gXCLNCAZrzhEJXHPQJDp6oc1DJvQF3MxGm4rjp6Z7CizqLECoY0GCs2BSfKF4gzAoFaM4Tglx5jLHHU/UmmpGtAyWy1gw/6mNbJcJG9Cm8TJQV26xdcoThBcKsUICynkQUI8CWABlz9JTOz7TDbiVCHqCylciWrK+jtDldByoUYcXW+ETxAmFWKEA5T0RgE9AsTqezJtvZFKBu0U0iJd9ThFDBgEZsxfb4RPECYVYoQBlPeK4l7kfSiAsPxJijG0o3ylXdfAnvlcWIFIhQAbViD36CeIEwKxSgtCc81lKPxGnEkUVKAcoSNFWsBqB+YYxIgQgVSCt2wSeKFwizQgFKe8Lx7HKYxl18xKkxw0e6wqAqssUch8sH7xfGiBSIUEG0Yid+gniBMCsUoLQnSSIx6Ql4pSmXr4+qhK65eR2oXxgjUiBCBc+KvfCJ4gXCrFCA0p4kyUbfBeUyMwXSCgpRlZAVty+k9wvrQyQjDGhYKzZfu+QIwwuEWaEApT1Jso1M5UF4KgToKS5EVULVGyWVD94vvEWkCLqKECoY0DBW7IhPFC8QZoUClPYkxbcCFlYR9BSXIeqIk6iWKkbvld0gUiR9RQgVDGgsVuyKTxQvEGaFApT2JGQa83c60cUCe5wvFVZCVEs01P4qp1t0fKSIOosQKhjQuFmxMz9BvECYFQpQ2pMEvKi/k+tGT2ENEp0ItMTV5tqpGf3GbyKJeosQKhjQuFixNz5RvECYFbqdHe1JGNbu78/Rj5MAoKUIpdASpRDt0G3XqVM1kjbS7SCECgY0zlbsz08QLxBmhQKU9oQjGfHzpgQIySyChfTubkxRDVEK00qLOlUjbEQBKhIAPlG8QJgVhwfopwqdSzlh7f59/nVWlBAlEsfjYlyJKAdVA90slRB0QDD+JR9XTV9t00oH1c2lzrpGyN6dAPECQ7WIEekQ90A93TLEKSf2jPJEZ+ALmByfonuQ+WZTT+GJJFJrPqaa3pI0gnCugXDWBXH6ecLwAmNW6EMk2hMea1eRbImww+NPCNCwCqraqDmmdfEFOdmXkRK0gRAq+0Pjik8EKwC8uGhiK4T0OiBA42dKoXj28JWSDUnugcp3Y0p1OdF9QYlm5ZtACJXdoXE7/USwYn8vrprYCiG9agD6y39EeIgkf5czLJxiD18p1U5cCVUv0R7ZeqLLyf7nS2wghFDZGRrr1TuCFXt7sWhiK4T0EgL0Be8pfO6xOouWNHvYSql24kqoion2yMa5LmUHkC2xgRBCZV9omLufCFYoQK0AAPoEuIzpxMPulocgSyp7JhNZLq6EqjhVjmk4OXjJIDYXQqjsCQ3n4RGCFQpQq/0B+tPXPkDfNeAyVpsnCZikCJViD5ONKBZWkuiHm8y0nehSvn/FFnYWQqjsBw1v3yUEKxSgVvsD9HwC+ub19fnyP5e/+/JzHEBDJUgoyUaU4n+6FYepbOO5AaQ6WGDeECGEym7Q8NcuIVihALXaHaC/ff/w1T8v90Gvl+7Pna/gBwCUxkkShYJsRAE/jcsXJvKtJ3qf66HcuzFCCJWdoBEu/USwQgFqtTtAf/nm4e3r5UL+D395veIU/RKe5kmeh+lsRIkEF+lcBGjjxnODlw54UyGEyj7QiJbOI1ihALVCAOg7+3/LpXw/tXkiAl0650mWjSjhJbHVhmmJHhD9iSUYxPZCCJU9oEG8eYRghQLUCgWg51PPy4no+Uz0ckHfT42eWIRkwJLFYSYbUcJLSlPRSeMrJDsUSTCI7YUQKjtAg3pzE8EKBagVCkBfn26nnj99jbKM6SYZm4YA1H0TSdQw24Sfnhl9fhDbCyFUNocG/eI7ghUKUKvdAbqeej5fnyWtD5O6qdmTNJryBA3qtulcAQqgsnb5npD5OJlc0gLjhRAqG0PjgeYnhBUKUKvdAbo+eH95uD5FWjjaTT09SeEui8OgEkEJNoNXLZFK5k50KdvDEvOGCCFUtoUGu+8SghUKUKv9AfrT11d0nv/vjM6XB6iHSL4SJBOQzqslVSTZXFQtmUzkTnUpO8oC84YIIVS2hEZi2zoEKxSgVvsD9Poq51v7RifSMiZfPM0kpJPXlsvgVxunk7klXWJbLTBviBBCZUNopLb9RLBCAWoFANDfvr9Sc9mgvu8JaD+AJnEmIt0puCjOlZBWGx6gc3NdEo2zxsWeQgiVzaCR3jUZwQoFqBUAQF9fX663P9dT0a7q5UmSZjLQZd8tCoq5P5P1+ge4TtBdkg20xsVWuQ0jhMpW0MjsOo9ghQLUCgKgA9XJkxTsUuIryZ9hpjIX9c3Plxl8fhjbyGsZIVS2gUb2ox0IVihArRSgEk+yjEqji6wkU6l0Ib2Ynw1vItWY2Ci/bYRQ2QIa3NolRwhWKECtFKAST7KQkmAnPJwr7lXFVl7WB4HiRisqaVUwBIRQ2QAakm/GIVihALXCAOiyJ2jfJaBX9fEkwzoZvKLDmeLM30HlZX2QyClaXUergiEghMpwaMg+uYlghQLUCgGgzic9Om9mNwCgzs804vIAzdwFlZExmasOfrZkfR2NCoaAECqjoSH8ZDGCFQpQKwCAPrv70d+ex/dTH09CJEUEJDL2PANNkDFTSZO6VNLS8to6QqiMhYb4i+8IVihArfYH6OXyfTnxdP7spU6ecEQKUtPwKgFkJ4CS/ZCqvYb2pu8EoGJ+QlihALXaH6DeZzyee68E7eMJjyOTJgFXHnZuaRkVRVVVqb2GBvlNI4TKQGjI8YlhhQLUaneALjvSr3qC3EwkzxIJuASsc8sW78aUqqxCzRU0yWsZIVSGQUOwdskRghUKUCsAgHq3PeG2s7sqSyMJtySoc4t+ciCSqDtMF/REptbyjXIbRgiVUdAowieGFQpQKwWoxJMcjHgKZjPxxT5Fz8PpusPkgwDUFUKojIFGIT4xrFCAWu0O0HUrevJXu/p4ksNRjoXJTAmA8oXpI1w7NS4oQH0NgUYxPyGsUIBa7Q/Qn752boK+gG5nR/IoyayYPBUA5Vuga+WaqXFh16fwgRBCZQA0yvGJYYUC1Gp/gK47Kr/edrTrvB1TJ08oIGWglQJdUmuJT6kWmHq7bAYSNlpWeoQQQqU/NGr4CWGFAtRqd4Au24CG6nUntN4Tjx0Ekci/WXYRBzIlyj8qx9ZaNnynUEXpIUIIld7QqMInhhUKUCsFKONJmn/yvT3p8hzqXGDxdX4uO7MtG71XDCNSIEKlrxVla5ccIVgBMi0mtkJIr4kB6tOHYFIAKJaKdHkJ72RQlNcnk18QI1IgQqWrFbX4xLACZFpMbIWQXvNuZ+dihIZSSKg4OTxYomwh09l8PWXyC2NECkSodLSiHp8YVoBMi4mtENLrEABlwMRQikZYrjqSfLnjTIN0NrH8whiRAhEq/axo4SeEFSDTYmIrhPQ6LEBPYoDSqQJ1AWjF4P3SGJECESq9rGjCJ4YVINNiYiuE9DoqQK+5aErRBCti45qr/Sl8zeD94hiRAhEqnaxo5CeEFSDTYmIrhPRKA/Ty+Ohd/BAJ4lXONNpuIiklwFyUi2nFK8L0IcnmcFxkYiSvOEakQIRKFyta8YlhBci0mNgKIb3mBahkaTwJJI5ffpqAn1UATXRAvizezYcRKRCh0sGK6rVLjhCsAJkWE1shpNfEAJW9nRmLzegljQGooANygjpW7C+EUGm3ogM+MawAmRYTWyGk17z3QE8rRroBlM1WB1CKxUFCVcdIK3YXQqi0WtEFnxhWgEyLia0Q0mtqgN40CKDBlTfFzwxAibsBfkplx3grdhRCqDRa0YmfEFaATIuJrRDS64gATRety0nysxqg9MMiBWijmqzohU8MK0CmxcRWCOklBejzbQ+7X77p/lXj7gBNlyzImn/Q7y5jSpwJl3ct0zFXGJECESotVvTjJ4QVINNiYiuE9JIB9PYw6fX2Uc6+2yl3B2i6YEne/FMqbzu7/ErQuHKuuUzHXGFECkSo1FvRZkHa/AAAIABJREFUEZ8YVoBMi4mtENJLBNDfvn9YdgF9ucy0zgRt9qQEOxThgrIJIobtfPILc/moDrJMLeQnSKRAhEqtFT3WLjlCsAJkWkxshZBeIoA+PzyYryKd/4bbkb4AOwThaNpFeRmAJmrP3QNlCSoZiBFGpECESqUVffGJYQXItJjYCiG9JAA9n4A6dz7PV/Fw30SSYycmXIAy5ycLUOcSPll/nEbkqhyIEUakQIRKlRW98YlhBci0mNgKIb0qvgv/DPldeKEiEHI4pVcu9QEoWVetMCIFIlRqrOjPTwgrQKbFxFYI6SUEqHvRjvlZY6k2BCiRFndBAdpP5VYMwCeGFSDTYmIrhPQ6FEBFVOoM0KA5iowK0I1UbMUQfkJYATItJrZCSC/hPVD3ov0J9RJeiCU/WyNAc7D0E+MOKEA7qtCKMfjEsAJkWkxshZBe0qfw3nfh+37XuJcnCdCx+VoBGqXQjfspXfkJEikQoVJkRee1S44QrACZFhNbIaSXCKCXdfTOd+E7v4zUyZMk6biMJ/70kKsyjUumba5UOz9BIgUiVEqsGIZPDCtApsXEVgjpJXsT6cXbza7vMtChAKUAFR6moZiosxagYYtd+AkSKRChIrdiID4xrACZFhNbIaSX8F34yyuci8yS+l7q4AkHOhJR0dEgn/OzF0DDsv3wiRIpEKEitmIoPyGsAJkWE1shpJd4N6ZlV+Xu+Oz4JlIFQEt2tCsFKPlk6bN337Vm6KEwIgUiVIRWjMUnhhUg02JiK4T0OsB2dvlNk3xlM+RrJo5TJfL9qxl7IIxIgQgVmRWj+QlhBci0mNgKIb0OANAkP/MAla54ooqET+HpbArQjSSxYjg+MawAmRYTWyGklwI0RbEsQP27mUw2BehGylsxbu2SIwQrQKbFxFYI6VX+EAnno3KLCvnZF6DJR075DtaMPRBGpECEStaKLfCJYQXItJjYCiG9ZAB9hvwq5yISSwlA9QVoph+pWhSgnZWxYht8YlgBMi0mtkJILxFA/WWgUwA0sTFcO0DN8TRAuSP6FH6Q0lZsxU8IK0CmxcRWCOklAuhT97ePXDV7woGLYRQLujh/kC3CXhKgfD1dCYoRKRChkrJiM3xiWAEyLSa2Qkiv8g2Vu6vdE5pcHKOS/FzPD6Os9rdTlfAMNLEhU83gfWFECkSoJKzYkJ8QVoBMi4mtENKrYkPl3urgCQUuEmRE7tQSJAFAycxRw1FaP4JiRApEqLBWbIlPDCtApsXEVgjpdQyAXpTgIZuVZqVNdX9S1RV+lZPsXc3wM1bsIYRQYazYZO2SIwQrQKbFxFYI6SW8hJ8AoCV7xkkAmtiOydQj/C78UQHq9h8hVGgrNsYnhhUKUKvdAdr9K0i+ennio4tBWZy1AqDkq5yJbPwt0KkB6g0AIVQoKzbHJ4YVClCr/QE69hq+kycBu1IApTjXCtBUthCgia51sWIb+SNACBXCih34CWGFAtRqf4BeXkQadw7axxMhyoisXPlEpaWNpmqtGX7aim0UDAEhVCIr9sAnhhUKUKvdAbrsZIe6kP4mKcvY3ZiIMtnqatrsfAKqALUKrdiHnxBWKECtFKAST2J+CWD2mTlNJEBHFkrgkz/r7XoHVAHqyLdiJ3xiWKEAtUIH6JfHs77zSvz+t8eb/vwvLstwgEpYlgZrvj7nKby8TT5X6gXUAiu2UTAIhFBxrdh67ZIjBCsUoFa7AzStDzdUfvsPJ+3XHz2AUlms+niSwGfiERJbQbrKtYwUoNK+kf0ttmIbBWNACBXHiv3wiWGFAtQKG6AfHx/fv77+/MN6snnVzz+4v8gsVp08ETKKAyiRmK/RTUo0Gx7gesf1uNSKbeT3FiFUjBV74hPDCgWoFTRAz+ea72/IfPyrTf3iXq/TWaw6eZLHHZGRTJXX6CWxzcYHxF2os2IjeX1FCJXVin35CWGFAtQKGqBf1gvzDy4zP96Qmcpi1cmTGoBmUm2KAKB8s8SBQwAU9E2knfGJYYUC1GpHgF4eH71LPkT6sF6Xf3RvcX74099fM1lmAKg9x8oDNNEskX4MgLpCCJWrFbvzE8IKkGkxsRXbAPT3v61nlV8eLTR//fHbf/9xfe5OZxkKUPF7nLLUU1eA8q0pQBt1tmJ/fGJYATItJrZiM4C+v/318w+Wjj//8Gifu5NZHh0Je5qTgx/37+tvmyHISJXP1e5kSQKULhul0CNQ1eg6O/fuhOqe1Djd1gdEPkC/LOuXrhfvZJbBAKUISh2jKshV3gRQohjVSidL7k2KT9XW6ghQ+4x9vdl5Pvn8K5PFUa+zcoMf78eaZP/0kqMK6Pai6shkOlNyq1JyvWizFTto/4s1hKv3q/a34oQyLSa2QkhA2TeR2Hc36TNQo8tz90yWfgD1FwcFlMoxjhVZfD3o7geaqtxPSfShnJ8gkbJ/qFxPP/fuxFW7W3ERxrSY2AoJGF/FGypzezHR90CNPp6v4TNZxuwHGq0VqgVoupy3I32qci+htA9pYUTK3qFyPf1UK6wwvJjYCgEYLxK+C/+GOeQ+YifWKC0ATWVpAWgCS8E5YS1AM8W8byJxp6mZSmuG7wojUnYOldvlu1phheHFxFZI6PnafAbqLvIkXtS8JqazNADUIxCBuXaA5krF80MBuoPWu59qhRWGFxNbIeOn7B7oy2UxEy3qNSN70f7h8seoN5F8BG0IUO8MNFFCVG3N6D1hRMqeoWKeHqkVVhheTGxFT4AmdqQnX3RfTzV//fFy03PQu/ABhDIAlTyFj8UA1LkHmswvqLVm8HFlzbW0a7dQcR6+Y0BjZmr01sRWdARocj9Qaqul86/LueZ693PMbkx5gJILm3JX2V56IUC5bHytNWOnmmyup1k7hYq37ScGNGamRm9NbMVWAPU2+zwj8wrJL8sa+e/iLFsClLhL6mUlKvaPlAGUzcbXWjN2ssnWipq1T6j4az8xoDEzNXprYis2A6i73fwK0GVL+r8SWUYBlD79C+DCEi7KwBSIAcp3gDjljCutGTw5nraKGppf/t4jVMKl8xjQmJkavTWxFR0BOliVnmQASpViCUdk4IoEAHUS2GzJntaMPtHfLeW1vEOoRK8eYUBjZmr01sRWCOk1L0DTT+GXfB5beBASOfhCLkDdFDZXEqBNbyLtClC/6c1DhXhzEwMaM1Ojtya2QkiviQHKrwM12dgceYDyheiN6hL3B8I0vg+lMEwMZbiCtrcOFerNdwxozEyN3prYCiG98gD96evLXH3bBsmU6j1xyUExKcUtkjrRQaIMc0+1AKDsNXwxDRNDGa6g7W1Dhd44BAMaM1Ojtya2QkivHEB/+355cPSHv7SCklMfTwgmSWBIXEEnmMgSj7qGZ3IxnSXzsYqaFLnWVUFvtwyVB5qfINCYmRq9NbEVQnrlAPpkHr0PI2gfTwgmBSkkDdMEzeVPtsDlYpJKAGpzyfKPUNDbDUOF3bcOAxozU6O3JrZCSK8MQF/Oc/WykchlJRP7PnyjOnmSpRRFwwg+/pGC3HELXC4mqQCgbjZB9jEKertZqCS2/cSAxszU6K2JrRDSKwPQp/Ut+POl/KhT0F6eZMFF0TPFRAqgfpPeU/iCS/g2gPr57uy78KltkzGgMTM1emtiK4T0SgPU2Yfpmd9QpFHdPMkCSQJQr1Quu2w/0IMCdI91oOld5zGgMTM1emtiK4T0yn5Ubt0J9KevRz2JH+dJilscrfwDmfzJN5GoKvmusYmJYe0M0O3fRMp8tQMDGjNTo7cmtkJILzFAE7sqN2qgJySPkgAV8NMp8ClVL3FE2DXZqPYHqKsNQiX70aP7sSIvDC8mtkJIr6kBmqcNlUMKUCprUEIIUBKMZOcl/LxTgHJrlxzdixUSYXgxsRVCes0MUPpML1s2xU8hQNdSskt4cc+k8prAiJThoSL55uadWCEShhcTWyGk18QAjUhFAZEQzcL4IJU1KOU9RGKfwveX2wJGpAwOFdkni+/CCqEwvJjYCiG95gVohCopuToB9CJ/GRO3DnSAnAYwImVsqAg/+X4PVkiF4cXEVgjpdRyAitGVBOiJrTSjOHPNuCqEESkjQ0WIz3uwQi4MLya2QkgvBWjqSbicn8Qj+5pxVQgjUgaGipifx7eiQBheTGyFkF5ZgFLyd6RvVaUn1QDNkc5JKwEogVS+4o7CiJRhoSLH5+GtKBKGFxNbIaTXHQK04EyxAKBCfvYnKEakDAoVwdolR4e2olAYXkxshZBe8wI0fGgkQaIIdJn8tQQVNVghjEgZEypF+Dy2FaXC8GJiK4T0OsyO9KcUvKgsEpwV0DJXs3+gI0kxImVEqBTi88hWlAvDi4mtENJrZoD6GMpzMYdPJkXEzzKAJjpZacXu6h8qxfw8rhUVwvBiYiuE9JoaoJ5IfLmcosEXVZCok6pgLVMCUCbLqerMFCNSuodKOT4Pa0WVMLyY2AohvQ4LUHeHOTpDwKpkWlTK/BW2JQAom6fqzBQjUnqHSg0/D2pFnTC8mNgKIb0ODVCfU2mA5RLD49e/ZPuB5qqK8zRasYe6hkoVPo9pRa0wvJjYCiG9jgPQ+Bo+AFUvgDpNpnakZ7vHrhdIFC60Ygd1DJWytUuOjmdFvTC8mNgKIb0OBNAQYCHN0izMUpUCW7IFpns8KBWgV9Xi84BWNAjDi4mtENLrSABNPPPhjpJl6cRmgFLPm1K1NVmxuXqFSj0+D2dFkzC8mNgKIb0OBdCT4LFPLUBJsiVb4Hsvqq3Zim3VKVRa+HkwK9qE4cXEVgjpdTSAsg9rWLBGBdOVcY3VvCLKd11sBEqk9AmVJnwey4pWYXgxsRVCeh0OoNyZZhag4nWg9PGy3ZjoDDX8BImULqHSyM8jWdEsDC8mtkJIr+MB9KIqgIrfRCKPd9kOtKYoRqR0CJVWfB7Iig7C8GJiK4T0um+AZtvJELQ3QCveRKpvq69aQ6V67ZIjDGjMTI3emtgKIb0kAP3lmz/8xfn59PDVPys4yWqAJ1KA5tmTLpRsoWZcxdqyraQaQ6UDPlGgMTM1emtiK4T0qgIoxnZ2CRUAVERQ7uxyd4BuS+uUmkKlCz5RoDEzNXprYiuE9CoH6C/fYAOUgSQLUBl76CLem0g7AHRjXKfUEiqd+AkCjZmp0VsTWyGkVwagz+SGysiX8Cwj2wjKAFT+LvwQHQKgvfCJAo2ZqdFbE1shpFcGoPSW9G+boemqnydpRsoBGqcyJT65eesA2kS/IwC0Hz9BoDEzNXprYiuE9Mpdwr8M5+ewd+EjvEgBSiTzAGXzFN1cFQ+cHXFlDd1UGSod8YkCjZmp0VsTWyGkV8VDpN7q5UnELxovWYAKCq3Jn+iCEqSV0TZfSV0F/VQVKj3WLjnCgMbM1Oitia0Q0us4AI2xyOAlA1DygAiguc1ECjohFQw/q0KlLz5RoDEzNXprYiuE9DrOQvpqgPL1sGXW5HB+iJEY8bPxIr6ydEeVh0pvfKJAY2Zq9NbEVgjpJQbo5XHS+UT0ue8T+Is6eUIQiaZThlwCgJrk6jPQbgCd902k/vwEgcbM1Oitia0Q0ksI0NvT+AtAHx7eVaOSVidPKCDRcEqjyztiMtAFqu+B9gMoSKSUhsoAfM5qxRhheDGxFUJ6yQC6rGY6A/TpoTtBO3lC8oj+O8ku94CTgcxe/RT+3gE6hJ9zWjFIGF5MbIWQXiKA/vb9ZfH8T19fniWdCdr3RaQhACWKuEdodi0/In46BA3qTAE02f9+/ASJlKJQGYPPKa0YJgwvJrZCSC8RQF+uaz9vAL1cxEMupM/QKDwYZze/In6yfKtfSN+NnyCRUhAqndcuOZrOioHC8GJiK4T0EgH0tv/SAtDz6Sjmq5wyfq6H+YT4VDQBUOd4CqBxJR6lS4YeCiNS5KEyDJ/zWTFSGF5MbIWQXhKAnpF5OedcAHo+BQXdTCQFuyxACfL5SVTd0s1E2JQOD9AxIkUaKgPxOZsVY4XhxcRWCOklW0h/fW60AvQFFaCps7kKgPowJHlH5SDQGCfRnK0SRqQIQ2UoP+eyYrAwvJjYCiG9DgXQhBoByvBOBlAi7T4BOhafU1kxXBheTGyFkF4Vl/AT7EgfqxtAuZeaFKBZjebnRFaMF4YXE1shpJfwIdLlnHMB6Pl89E09LQlt40kCj+HvJa0QoHw+BehFw/E5jxVbCMOLia0Q0ku6jOnNCtDLmtC+K+k38iSHsIh/ZQBNZFSAjly75GgOK7YRhhcTWyGkl+xNpOvq+StAn7tvSL8VQMNHTCmopQjqVuk8hS8D6L09hd8Cn5NYsZEwvJjYCiG9il7lvKnzi0g9AFqFoohgMoK6VcgAStKyFz9BIiUZKtvgcworNhOGFxNbIaSXcDORy4X7IH52AGgljKhCPgBzACUJK6RlJ36CREoqVLbi5wRWbCcMLya2Qkgv8XZ2C0K747MDQEm2VWoMQEduOocRKXyobIZPfCu2FIYXE1shpNcBNlRmmJUSn7kaoOn9Qe4XoBvyE92KTYXhxcRWCOl1lwBN5M4DlHwhM/0mUr8bnoQwIoUJlS3xCW7FxsLwYmIrhPS6R4Ams3sHSYCyKzzz2aKGhMNNCSNSyFDZZO2SI2ArNheGFxNbIaTXkQHKICoD3Cw/nWKfoiQqVwqqZcOmhBEpVKhsjE9kK7YXhhcTWyGkVxqg3vKlUQuZWj3hgMghKgNQy12On7bcp6gRKUDTXSgRRqTEobI5PnGt2EMYXkxshZBeBwAoAyMWUTmAUhl7A5Spr0YYkRKFyg78RLViF2F4MbEVQnodAaD8MksSTz0BmiJjqkGuwgphREoQKnvgE9SKnYThxcRWCOlVeA/0p68voQH3SQ8CQpsANE6qBGgDQTEixQ+VffgJacVewvBiYiuE9CoC6G0xfe8vw4/xRATQNLd6ATS9oXIVQZ0iGJHihspO+ES0Yj9heDGxFUJ6lQD0spHIw21P0J4a40kHgPIE5Ruh6+aRWgdQtwxGpNhQ2XrtkiM0K/YUhhcTWyGklxygt/uhfbcCvWqMJ1AAje8xNAHUK4QRKSZU9sMnnBW7CsOLia0Q0ksM0KdBb8IP286ORZMYXCw/ywGarzw7HrLoCSVSllDZE59gVuwsDC8mtkJILyFAX64XZn03Ul41yhOOTGJy5QEqewovqj0/HqrkCSVSbqGyLz+hrNhbGF5MbIWQXiKADrt6v6qzJxZHDJjE535+LqpInFSIxBp+wgJ0Z3wiWbG/MLyY2AohvSQAHXf1flVfT/JACgHK5o0yRgWaAVr1RicoQHfnJ44VAMLwYmIrhPTKA3TE0k9P/TyRULEDQMkcbIp7gEgo5ycmQPfHJ4wVE1Ojtya2QkivHEDHLP309KlCZCkfc2zZCIjynGH2OJWrNkrLtZ2S10SdgZ11vUW+dycwrACRemFUixiRMgAdtPTTU6//qAScY8tGROSboQlKHmdT/GQ2oUhuWYRTDYTTzxOGFaepT7t6a2IrhPQ6xLvwV9VjUZ4zLCAFaJQqaj0hp+T+kXLFJ0Ko7G/FVQhWgHgxsRVCet0jQAtWEGUIuhtAHe0eKbfTT4RQ2d2KmxCsAPFiYiuE9LpHgBagNnMRrwA1V+8IoYIBDQgrQLyY2AohvQ6wI/0iMRZL+JkBaLyQnr65eVyAmrufCKGCAQ0IK0C8mNgKIb0UoMl2aH4mNlQWbk56EIA6D48QQgUDGhBWgHgxsRVCeh0WoHzZdn46ACXWcVLVRiW78XPHSLnezlkHgBAqGNCAsALEi4mtENLrqABNlC04+8vws2B+RA324ud+kXLFpxkCQqhgQAPCChAvJrZCSK+DAjRVls3GnEzy/KTnB90BP7Xb+edukbLicx0EQqhgQAPCChAvJrZCSK9DAjRTOMXPzK6dQQZqfjB98BLFXRVon0hx+HkbBEKoYEADwgoQLya2QkivwwI0hacUP7nlRyTyiPkhoTNXXZX2iBQPnwrQQAhWgHgxsRVCeh0VoGk8pfiZI6hbKJwfbMaY7b0I2ofCZbo+fFeAckKwAsSLia0Q0us4APUgVY6nNPmYCj9xVfAcjvKJe5jqdlslZVrWLilAOSFYAeLFxFYI6XUggJ5IRElr5IoEVfqFPkU5NwZoJwwXyHwzTgHKCcEKEC8mtkJIryMB1F7OdgRocNxP/BRnIOsZBdBeHJbLWTrvN40QKhjQgLACxIuJrRDS61AANeoPUPrgJyIDVdFRAOpvW+e1jBAqGNCAsALEi4mtENJLARqVKaiwAqAhQcX9K+jWKIXbfroNI4QKBjQgrADxYmIrhPRSgIaFSiqUApQnqLx7Bd0ao/SuyQihggENCCtAvJjYCiG9jrOd3SqOYVEeLpU4eWwGKEtQ0WhZbQnQzK7zCKGCAQ0IK0C8mNgKIb0OB1AxP2UHk1QsACi5zr8jQduqySuDT4xQwYAGhBUgXkxshZBeRwNoAT8lT4syVEw/hU8ANNtHqbbh50OWnxChggENCCtAvJjYCiG9DnUPVADPUwZeLOeyAM2crA4C6CZvIuXxiREqGNCAsALEi4mtENLrSADl6cVmSx2MaswANM7NVizqp1DDI0WCT4xQwYAGhBUgXkxshZBeBwJogl5svtTBuMoMQKNO0EcKdt6TaHSkJPjp9h8hVDCgAWEFiBcTWyGkVw1Af/mPiPdAU6BjM6YOEnWWAZQ+1HkzkcGRkjr99AaAECoY0ICwAsSLia0Q0ksI0Bf8h0hwAKWPRbUKRpvU0EgR8FNf5QyFYAWIFxNbIaSXDKBPEzyFl/JTClCq0jaA0j3lOyrTwEhJ3v0MhoAQKhjQgLACxIuJrRDSSwTQn772AfquAZexOnkixlIBPwvWgQoqL+6pSMMiJbN2SQHKCcEKEC8mtkJILxFAzyegb15fny//c/m7Lz9xvolEHFp/3CFAcw/fFaCcEKwA8WJiK4T0kgD0t+8fvvrn5T7o9dL9ufMV/JANlVMqAKj50RWgMzyFz69dUoByQrACxIuJrRDSSwLQX755ePt6uZD/w19erziFvIQXv5UjB+hnSm7+SoB2fYd9SKQI1n4qQDkhWAHixcRWCOklBOg7+3/LpXw/9fNESCQeXj4USH52AWjPd9gHRIps6bw/BoRQwYAGhBUgXkxshZBeBQA9n3peTkTPZ6KXC/p+6ueJFEn5808eoF4J+Vc5KzIJ1T9SZPzUdaCcEKwA8WJiK4T0KgDo69Pt1POnryGXMQUBneSTiJ/+eieSeAXfhSdbSmWSqnekSPF50jeRGCFYAeLFxFYI6SV8iHQ99Xy+PktaHyZ1Uy9PKPgVVBmfZ/opVH3k/JDzE/AMVLDvEi2EUMGABoQVIF5MbIWQXqJlTMuD95eH61OkhaPd1MkTD0vlhIr5WQtQumqup83qGim1+MQIFQxoQFgB4sXEVgjpJV1If0Hn+f/O6Hx5wHyIFMGuDFFUkc+x/EKi+RGVhAVoPT4xQgUDGhBWgHgxsRVCeslf5Xxr3+iEXMY0AKBZgkrmR5LL0t4l1C9SWvgJESoY0ICwAsSLia0Q0ksG0N++v1Jz2aC+7wnoZADNLGOS1IsJ0CZ8YoQKBjQgrADxYmIrhPSSbmf3cr39uZ6KdlUnT0oAShzZEKB9CdopUhr5CREqGNCAsALEi4mtENLriBsqZwlFHqJKUAB1j1cCFO9NpFZ8YoQKBjQgrADxYmIrhPQ6DkA9KEn4yRCUqZNkXi1AexK0Q6RUr11yhBAqGNCAsALEi4mtENLroABNrQNl4RUn0QC1eY4B0A74xAgVDGhAWAHixcRWCOklfBNprg2VzU+ybAG8GICasnVP4cv6kFNrpHTBJ0aoYEADwgoQLya2QkivwwKUF3M2mc8aE7RuHWhmU/xCNUZKJ35ChAoGNCCsAPFiYiuE9Lp7gEpfuiQJWvcmEtB+oG34dPuPECoY0ICwAsSLia0Q0qv0HuiyuXJP9fJEiiTiTFKaNSxZNz+68rMpUjrwU3djioRgBYgXE1shpFf5Q6Ter8JvvqFyAUHHA7SqAk/1kdJ49e6PASFUMKABYQWIFxNbIaRXOUBxd6Qv3Q80C7EMPzsAtKq8r9pIaV27FIwCIVQwoAFhBYgXE1shpFfFMibQ3Zhi8YiSATTHz6kB2vzwSAHKCcEKEC8mtkJIryqAQj5EipRm1H0DtMOzdwUoJwQrQLyY2AohvY4L0AykKgHqV1y3ofL+O9L3WLukAOWEYAWIFxNbIaRXOUB/+WaKS/gcIInjYWafnPaoLVb5SY+K/fJ5lRvYZ+mnApQTghUgXkxshZBexQC9LAqF3FA5UAxIn1nMcXYvpqjuyx+NH5XLjUGkYgN7LZ33R4oQKhjQgLACxIuJrRDSq2Yh/W1nu24a40nEvhBaDD85gpKNVH7WWARZqQoN7IXPk64D5YRgBYgXE1shpFcNQDtvCDrGk5BkMbQYfpZsOxfOD5e4otVRuVEIVGRg7dolurNuKkKoYEADwgoQLya2QkivcoD2fYL0uhFAKWh5v3oA1OMnIkBrTz8FvUUIFQxoQFgB4sXEVgjpdZzt7EIxJ6BFT+XLAOrzEw+g1Vfvku4ihAoGNCCsAPFiYiuE9DouQP3Tpg0AGvATDqDt/Ez1FyFUMKABYQWIFxNbIaTXgQHqXaK3A5QqmwJopl9bA7Th4ZECtEwIVoB4MbEVQnrJ7oF6z92fYNeBlvKRzkEnkoUTAE31vic/hdOj5eG7ArRMCFaAeDGxFUJ6VQEU9E0k2RlmkJQpHvAzOMwDNN39jvwUTY8u29YpQIVCsALEi4mtENKrHKC/fAMK0EyU0/xMANVNZBjCATTb/378FEyPzvsu0UIIFQxoQFgB4sXEVgjplQHo8wMlyEv4bJjT/Mwsb/wcyc3JPIUvG0ujsga2L52XDAwhVDCgAWEFiBcTWyGkVwag0dc8Bqykr/fEC+qSE8Bkdjc15mcCoF2hEVlDAAAgAElEQVSvzMXKGNjlzSPBwBBCBQMaEFaAeDGxFUJ65S7hX4bzsx6gfliLAZpEon+6RfAzBdCeV+ZipQ3s9OZmfmAIoYIBDQgrQLyY2AohvSoeIvVWrScB0qQATSPRr6YUoHsoZWDHF99zQrdiQyFYAeLFxFYI6TUvQEOmCQGaQWIHgG58GpowcEN+QoQKBjQgrADxYmIrhPSadyF9xLRafnYGqKATNl82V16sgVviEyNUMKABYQWIFxNbIaSXFKDPty/J/fJN971EugG0ZCtjlp9ZgHqZa/cDFXZWJMbA1rVLpUIIFQxoQFgB4sXEVgjpJQPo5WH8FaA/fd17O+X9z0DZDNn7pSX7gQZJUs7mRRu4MT4xQgUDGhBWgHgxsRVCeokA+tv367P360P5zgSt9CREFYsuTwRAE0/h3R9UzXKABmmyzopEGbg5PjFCBQMaEFaAeDGxFUJ6iQD67OxCf1laj/Fd+ABBWSZR7KSyU7Uy3RADNEzsB1Cqjh34CREqGNCAsALEi4mtENJLAtDzCahz5/N8FQ/yTaQyJrH8TJ2BZp71fOIvzb1CUSrXejFSiUr2wCdGqGBAA8IKEC8mtkJIL+GO9O7a+WeYVzk9dmQAyvMz8RQ+p08RwNoAKm44qtgm7cNPiFDBgAaEFSBeTGyFkF5CgLoX7S+Ym4mkyZfgJ32tLQNonDdXa6qzBS1z1eyET4xQwYAGhBUgXkxshZBeHQD65fGs74IyH53E3//2eNOf/zUQoGn8CPmZAShLvJigXK2JziabJhWW2HrtkiOEUMGABoQVIF5MbEVHgP72vXfRHmyo/OEGx2//4aT9+uMt8U9/d38NBmjyAljIzwRAqXQyc7rWRGebAbofPjFCBQMaEFaAeDGxFR0Bennybm+Cvvi7iZxPNd+/vv78g0vH8ynnBZ1r4s8/0OTsDdDUIxghP3mAkgekAKVOOJNN0INIjWpffGKECgY0IKwA8WJiK3oC9LKOflnHdPnTvYI/n12+f71C8vGvJvHLcuq5JH6JLvAHATQhET1PPMTocgmo0vVK+1g+qp35CREqGNCAsALEi4mt6AnQYFM794bol/Xa/YNDyQ/L6ej5TPSS+PHG2CkAmn0IlAMoVzdB2UQfi4e1Mz4xQgUDGhBWgHgxsRVdAXp9hXORvzPTysozJe1dUAPT2x8fbuejcwA0c3PSPxg/hZdBkMlRzE9TZHd+QoQKBjQgrADxYmIr+gLU7E0fbGy3nGO+2st2V7fr+19//PbffyQe1PcHaAI+LtgynCLOFVmAeigU0DmokznAl6Tr2h+fGKGCAQ0IK0C8mNiK3gCldQbo+9tfP/8QA/TL+iwpelD/6KitB44W/KSO3Y6nMvLlvCr8DGRWSZ3kIUm/HF3/w1ZYRqVS9VBF5LnrQNdnSCRAzwcv1/dflvVLH5wH9SMAmiSXD61+/ExklVQq6UNGik+VajeVxt51YyYaoM5j+PXY9ZxzvTt6PlsNctzU6azcwRJVInmQE81Pe/xTKquk1pLOkEK4er8K4WIN47IVwgoQLya2YghAl6fxojPQ86Eg5QN9G7SHJwJ01SArw88kQEW1FvWG0PX0s7WSLkIIFQxoQFgB4sXEVgiRWADQ68lnsB8ofw/08vpRcML5kX4VqYMnInZFh/IIy1ExAVBZrcnWs7qefmJECkSoqBVWGF5MbIWQimKArktB/ffg3afw3suc5yv66J7oMIAWwCsuJcjC1ssDVNJyF36CRApEqKgVVhheTGxFV4Cak89oK2VnHahLR4qfwwCaO0+kVXiuSGasOwOtu50Qar37iREpEKGiVlhheDGxFR0Bat9DijcCJd9EuvDTnI/aq/wP9BtJzZ608VNMUOLwJyarjKCifjKy+y5hRApEqKgVVhheTGxFL4CuJ59f/TPYlOkm8l349fn7TeuJ568/0m8kNXtSw08ZQHOZPjGZ288vM3IevmNECkSoqBVWGF5MbEUfgL44r2+SACV3Y/roXb+fj11OTu3t0rEAFdbQH6B1IK+Rt3YJI1IgQkWtsMLwYmIrugD09v7msnsdDVBvP9AzJM8cNft/Lu9vfnH+HgxQeQ2SQlkcFnzWuKP8tZ8YkQIRKmqFFYYXE1vRC6B2708GoO6O9DeAmnc31/TblvTkKvoeAK16qi0gXf58cg+AhkvnMSIFIlTUCisMLya2ohdA7colDqCt6uBJBbKKAUplTQJ0DEGjV48wIgUiVNQKKwwvJrZCSK/MPdD1EdLbV2iAnnjGcSoFKJmXmB8ygtYClnhzEyNSIEJFrbDC8GJiK4T0yi9jMq9vIgP0qrITvzzmKID6uan5IQFo5Skq+c04jEiBCBW1wgrDi4mtENJL+FE5dh1oB/XypPTSWXaamCRoJUAl56iE6I1DMCIFIlTUCisMLya2Qkgv4auc61r66E2kDurkiejSOS6RSh4EUPaENilu3yWMSIEIFbXCCsOLia0Q0kv8Lvx6Guq/C99DnTypohIht44ygCazcvmk3WL3rcOIFIhQUSusMLyY2AohvUq2s1tPQ9/ks5aokyedAOpXUgJQKT9rFv4ntv3EiBSIUFErrDC8mNgKIb3K9gNdTkP7noV28qQPQP1aSs5AxfysAGhq22SMSIEIFbXCCsOLia0Q0qv4axAvdwRQ+2ceoGnScm2IOpvedR4jUiBCRa2wwvBiYiuE9Kr4nM5v30MCtOQpPJvNIxt1/tkDoGU3Qcm1S44wIgUiVNQKKwwvJrZCSC+A75F186SMn+wD+PEALXkOn/3oEUakQISKWmGF4cXEVgjpdSSASt/v4dnVE6CyLmS6K/hmHEakQISKWmGF4cXEVgjpdSiAypTgnH+AhKmXv3ZHeukNW8k3NzEiBSJU1AorDC8mtkJIr7sHaPyZOZNM0dSvin8KL+9DnL7+kH2yGCNSIEJFrbDC8GJiK4T0UoB+pg95P82PoCpmHWhRH4jk2w/hJ98xIgUiVNQKKwwvJrZCSC8FKE1Q7ydbFbeQvqQPTOtCfKJECkSoqBVWGF5MbIWQXgrQxDlg9rFUX4A6ibm1S44wIgUiVNQKKwwvJrZCSK87BGj6eY8MgIuqAUo+lPL5Ke0DRqRAhIpaYYXhxcRWCOl1jwDt9/W3eoBSdwdq8IkSKRCholZYYXgxsRVCet0lQKu+40llbQAoUV8VP0EiBSJU1AorDC8mtkJIr/sE6EU1/Ex+0qP5nNbgs6iCTSIlPyqEUMGABoQVIF5MbIWQXvcL0LLvatBs7AvQUw0/N4kUwbAQQgUDGhBWgHgxsRVCet0vQMuvt+PsnQF6uuGzrPgGkSIZF0KoYEADwgoQLya2QkivuwUogbsEIzYB6EMNPzeIFNHAEEIFAxoQVoB4MbEVQnrdJ0A/e/ITcwXc5K4ALXx4tEoBaoQBDQgrQLyY2Aohve4SoD4/PweJRF4RQIs/C+qpEp8KUEcY0ICwAsSLia0Q0uueALoiIOBn9PWjqAx1vnpVMD/24KcC1AoDGhBWgHgxsRVCet0RQFcG0EikKZHmZzQ/avlZj08FqCMMaEBYAeLFxFYI6XU/AI1Z6EGBpESGn9QlfHG/Tm381KfwVhjQgLACxIuJrRDS624AyvKzG0DzkKHVhE9dB+oIAxoQVoB4MbEVQnopQFOX8CxuF5EbKpf1q2DfJVr6JpIRBjQgrADxYmIrhPRSgBYCVPBNpJJuteITJVIgQkWtsMLwYmIrhPS6B4Am2LkzQNvxiRIpEKGiVlhheDGxFUJ63QFAYwSKAZq7hm8EaA9+gkQKRKioFVYYXkxshZBexwcoRUAxQOXrQBO5GKp2wSdKpECEilphheHFxFYI6XV4gLIADBK4M8hbSjFA4/sAYcc68RMkUiBCRa2wwvBiYiuE9Lo7gEZH4nzJarxU/rPGLKgX9cInSqRAhIpaYYXhxcRWCOl1TwAlE3NnoEERP5HbTCRXb/PaJUcYkQIRKmqFFYYXE1shpNddApQiHQdQk0KxtRKgHfGJEikQoaJWWGF4MbEVQnrdI0BD0oXPlYjiTOVVAO2KT5RIgQgVtcIKw4uJrRDS6/AAje9Bxvy8HKMBSkLVqgagAT9TfBYJI1IgQkWtsMLwYmIrhPQ6FEBpGIUIpAD6mWYlTVWrcoCGp59JPouEESkQoaJWWGF4MbEVQnodCaAcjIJUEqCfqeIxDgOlABolX34w/GwhKEakQISKWmGF4cXEVgjpdSCASmHEATQ6gSV56CkB0Cj9RNz9zNUvEUakQISKWmGF4cXEVgjpdRyAimHEAjSZkayKB2h0gFy7pADtKrXCCsOLia0Q0ksBKgUolavko3LUw3cFaFepFVYYXkxshZBeClAhQMlscoDSa5cUoF2lVlhheDGxFUJ6KUD5IvmMYoAyaz8VoF2lVlhheDGxFUJ6KUATJbIEFX7WmLn5mSoiF0akQISKWmGF4cXEVgjpdQyASmjIZE6VKASofN8lm7GZnyCRAhEqaoUVhhcTWyGk1yEAKsMhl53NT/IzBVDyQRNx9e7W1cpPkEiBCBW1wgrDi4mtENLrCACVnlByBYTZBACNRe27VNBTgTAiBSJU1AorDC8mtkJIrwMANM04UpsBlHx4pAAdJLXCCsOLia0Q0uvIAI0R5aSUAVSwoTKhgc/erTAiBSJU1AorDC8mtkJIrwMDNGaUm1IIUMGGyqcQ2dy+dQrQQVIrrDC8mNgKIb2OC9AYUrnjkbwsVN7UU3h+208F6CCpFVYYXkxshZBehwVoTCmGsKlmclkS60BT2yZ3JShGpECEilphheHFxFYI6XUAgNJP4fMApXdf8tvJQI59Eymz63xPgmJECkSoqBVWGF5MbIWQXkcAqPAbR7kz0AqiMQDNfzOuI0ExIgUiVNQKKwwvJrZCSK9DAHQ5UYxPL1MAZQ8zTVLHaIAKPnqkAB0htcIKw4uJrRDS6xgAXZQ63wxTmPNRFmnkMeq78KJvxilAR0itsMLwYmIrhPQ6FEA9xYSiT0BlAKUPfoozXPhZtJI/mzcjjEiBCBW1wgrDi4mtENLruABNrQP97Mk9xiCNORoB9IpPARMVoCOkVlhheDGxFUJ6HRig9FP2mJ9pgN5ShACV8lMBOkRqhRWGFxNbIaTXkQEaiONnEqBh3hRAb/hUgO4mtcIKw4uJrRDS61AATQIpRqFPMCE/WYA+rPzcAqBOSYxIgQgVtcIKw4uJrRDS60gATVIpx0/yOXsy/8mbHwafIiI2AtQtihEpEKGiVlhheDGxFUJ6HQigLObio3TGuGCGn3Z+WHxuAVCvLEakQISKWmGF4cXEVgjpdRyApkAXH5bBSwpQl5+FBJVk5nt1QokUiFBRK6wwvJjYCiG9DgvQkEy9AEpcwl+XzhfU6lYtysv36oQSKRCholZYYXgxsRVCet01QLPNiAB6e/WoFKC5fUpkvTqhRApEqKgVVhheTGyFkF53A1D3olkMOgFA1zc3iwFaLwUoI7XCCsOLia0Q0ut+AOpiU8y5LEDNm+8K0P2lVlhheDGxFUJ6HQeguadIdRfNaYA6G4dsCFB9Cs9IrbDC8GJiK4T0AgDopwpRpXzO1dRKaK3Nq3f547p0nmi9U9OCXl1UZ+AhpVZYqRdGtYgRCQCgnf6jkjv/rJKtz6l3+TPYt267E9CTdzKNcaoBca6hVlhheDGxFUJ6HRSgNXUScmsM+HnFJ7mhcqe2pcKIFIhQUSusMLyY2AohvQ4J0JoaSVF1Wn5+Zj4q1615kTAiBSJU1AorDC8mtkJILwVoShxAlzePuK9ybgpRjEiBCBW1wgrDi4mtENJLAZoSA1Czbx33Vc4tCYoRKRCholZYYXgxsRVCeilAUyIB6uy7lADoZgTFiBSIUFErrDC8mNgKIb0UoCkRdT44G4ckAboVQTEiBSJU1AorDC8mtkJIr+MAtGQdkRRwMQ79fesUoEYIoaJWWGF4MbEVQnodCKDFr7gL2glo6O0bclKAOkIIFbXCCsOLia0Q0utIAJWeWJaeqpqs3sYhlz8UoEYIoaJWWGF4MbEVQnodCqAyFTDOyxq8eXRRNUA7EhYjUiBCRa2wwvBiYiuE9FKASrMS/Kx+Ct/zHBUjUiBCRa2wwvBiYiuE9FKAyrJS+EwCVFRtadcpYUQKRKioFVYYXkxshZBe9w3QHMNcfBL8TABU2IHy3kfCiBSIUFErrDC8mNgKIb0OBVAZk8ovtRl8hvNDikUF6CCpFVYYXkxshZBexwDoDUZSKBUS9LZvCKlPcW5BBxSgg6RWWGF4MbEVQnodAqAFRCzMv/JTBtCKU+Bs5qwwIgUiVNQKKwwvJrZCSK8jAPRzqGxxaXa7bwidqW5+lPU1J4xIgQgVtcIKw4uJrRDS6wAAjfhZ+rm4RCZn4xBKlfOjJ0F73QloFUKoYEADwgoQLya2QkgvBWgiu//iO6Ha+dEPoL3OY5uFECoY0ICwAsSLia0Q0ksBymZ3913qDNBuz5F6nce2CyFUMKABYQWIFxNbIaTX3QI0yx4Pn6AA7XYi2y6EUMGABoQVIF5MbIWQXkcEqLCOZO5l6WemTgWoEUKoYEADwgoQLya2QkivAwC0eiv4PD9z9xjr50cf8ClAPWFAA8IKEC8mtkJIryMA1FCugp9kfvfNo2SdDfOjrs90JQrQmzCgAWEFiBcTWyGk1yEAWkUhHj3sm5uRWuaHw89q/ClAPWFAA8IKEC8mtkJIr2MAtEIsewT4NKWa50cr/2D4CREqGNCAsALEi4mtENJLAerDh9t3iSh6YuZHAdDazyBR+AkRKhjQgLACxIuJr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title alt width="672" /></p>
+</div>
+<div id="description-three" class="section level3">
+<h3>Description Three</h3>
+<p>Watch out!!! Forecast is just forecast. The estimated loss rate is much lower than the actual loss rate when it comes to charge-off loans. As Prosper uses estimated loss rate to determine Prosper Rating, borrower rate and consequently lender’s yield as well as estimated return; lenders who merely base their decision on those factors are risking losing more than what they expect.</p>
+<hr />
+</div>
+</div>
+<div id="reflection" class="section level1">
+<h1>Reflection</h1>
+<p>There are 81 variables in this dataset, but the variables used to make lending decisions are boiled down to several ones including Prosper Rating and Estimated Loss Rate; Prosper Score and Credit Range; Lender yield, estimated effective yield and estimated return… I wonder where borrowers’ information such as credit history, bankcard utilizaton, delinquencies,.. go into this process?</p>
+<p>Prosper claims that they use a discrete scorecard built on applications from April 2008 to April 2011 to determine the Prosper Score. The scorecard takes in variables of borrowers’ credit information. However, graphing the Prosper Score against these variables, I see negative correlation but not enough to quantify. Lacking of domain knowledge, I was unable to build and test the effectiveness of this scorecard in determining Prosper Score, which in turn affects Estimated Loss Rate. Keeping in mind that Estimated Loss Rate is then used to decide Borrower Rate and Prosper Rating. The accuracy of the score card is critical to enhance Prosper’s ability to estimate yield and return for investors. However, from the dataset we can see that the accuracy of estimated loss rate is very poor. Investors should be careful when using these factors in their decision making process.</p>
+<p>I didn’t build a model to predict investor number, because the correlation of various factors on investor counts is weak. Building a model with such low R square can be ineffective. Instead, I build a linear model to determine Estimated Loss Rate with good R square of 89.9%.</p>
+</div>
+
+
+</div>
+
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new file mode 100755
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diff --git a/static/images/service/background-shape.svg b/static/images/service/background-shape.svg
new file mode 100755
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diff --git a/static/images/service/branding.svg b/static/images/service/branding.svg
new file mode 100755
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new file mode 100755
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new file mode 100755
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diff --git a/static/images/service/web.svg b/static/images/service/web.svg
new file mode 100755
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+++ b/static/images/skill/skill-background-shape.svg
@@ -0,0 +1,9 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="250.49" height="240.947" viewBox="0 0 250.49 240.947">
+  <defs>
+    <linearGradient id="linear-gradient" x1="0.929" y1="0.111" x2="0.263" y2="0.935" gradientUnits="objectBoundingBox">
+      <stop offset="0" stop-color="#d5a6bd"/>
+      <stop offset="1" stop-color="#d5a6bd" stop-opacity="0"/>
+    </linearGradient>
+  </defs>
+  <path id="Path_1423" data-name="Path 1423" d="M226.445,284.631c-7.363,10.259-10.457,22.867-15.316,34.52s-12.588,23.343-24.611,27.194c-12,3.848-25.153-1.186-35.508-8.377s-19.145-16.548-29.965-23.016c-11.941-7.138-25.731-10.4-39.254-13.665s-27.29-6.755-39-14.256S21.573,267.19,21.1,253.288c-.545-15.931,10.533-29.962,22.923-39.99s26.765-17.8,37.288-29.774c10.755-12.225,16.638-27.842,24.39-42.157S124.345,113,139.951,108.373c9.883-2.93,20.634-1.685,30.385,1.658s18.675,8.677,27.468,14.058c15.131,9.265,30.21,18.867,43.125,31.032s23.666,27.158,28.3,44.284,2.557,36.529-7.914,50.851C251.658,263.468,235.985,271.332,226.445,284.631Z" transform="translate(-21.078 -106.727)" fill="url(#linear-gradient)"/>
+</svg>
diff --git a/static/images/skill/skill-mask-svg.svg b/static/images/skill/skill-mask-svg.svg
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--- /dev/null
+++ b/static/images/skill/skill-mask-svg.svg
@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="570" height="763" viewBox="0 0 570 763">
+  <path id="_3108428" data-name="3108428" d="M30,0H540a30,30,0,0,1,30,30V678a30,30,0,0,1-30,30L30,763A30,30,0,0,1,0,733V30A30,30,0,0,1,30,0Z" fill="#ffffff"/>
+</svg>
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diff --git a/storage.rules b/storage.rules
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index 000000000..9f33d22cb
--- /dev/null
+++ b/storage.rules
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+rules_version = '2';
+service firebase.storage {
+  match /b/{bucket}/o {
+    match /{allPaths=**} {
+      allow read, write: if false;
+    }
+  }
+}