From f7945d07edd63bc2260c572379b3a022ed1614ad Mon Sep 17 00:00:00 2001
From: Dominic O'Kane <domokane@users.noreply.github.com>
Date: Sat, 9 Dec 2023 19:40:50 +0100
Subject: [PATCH] Notebooks fixed

---
 financepy/__init__.py                         |   2 +-
 financepy/utils/date.py                       |  60 ++++---
 .../products/bonds/FINANNUITY_Valuation.ipynb |   8 +-
 .../FINBONDFUTURES_ExampleContracts.ipynb     |  14 +-
 ...OPTION_All_Models_Valuation_Analysis.ipynb |  60 +++----
 ...NDOPTION_HW_EXAMPLE_MATCH_DERIVA_GEN.ipynb |  83 ++++-----
 ...INBOND_CalculateOptionAdjustedSpread.ipynb |   6 +-
 ...INBOND_CalculatingTheAssetSwapSpread.ipynb |   6 +-
 .../bonds/FINBOND_ExampleAppleCorp.ipynb      |   2 +-
 ...SKET_ValuationModelComparison_REPAIR.ipynb |  14 +-
 .../credit/FINCDS_ForwardAndBackward.ipynb    |  16 +-
 .../fx/FXOptionAnalysisAndDeltas.ipynb        | 169 +++++++-----------
 12 files changed, 194 insertions(+), 246 deletions(-)

diff --git a/financepy/__init__.py b/financepy/__init__.py
index c5f1e777..ad3300a1 100644
--- a/financepy/__init__.py
+++ b/financepy/__init__.py
@@ -1,7 +1,7 @@
 cr = "\n"
 
 s = "####################################################################" + cr
-s += "#  FINANCEPY BETA Version " + str('0.34') + " - This build:  09 Dec 2023 at 18:51 #" + cr
+s += "#  FINANCEPY BETA Version " + str('0.34') + " - This build:  09 Dec 2023 at 18:59 #" + cr
 s += "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #" + cr
 s += "#  Report bugs as issues at https://github.com/domokane/FinancePy  #" + cr
 s += "####################################################################"
diff --git a/financepy/utils/date.py b/financepy/utils/date.py
index cf3c82e3..f8c5bf8d 100644
--- a/financepy/utils/date.py
+++ b/financepy/utils/date.py
@@ -166,6 +166,7 @@ def calculate_list():
 
 @njit(fastmath=True, cache=True)
 def date_index(d, m, y):
+    ''' Calculate the index of a date assuming 31 days in all months '''
     idx = (y-g_start_year) * 12 * 31 + (m-1) * 31 + (d-1)
     return idx
 
@@ -186,8 +187,9 @@ def date_from_index(idx):
 
 @njit(fastmath=True, cache=True)
 def weekday(day_count):
-    weekday = (day_count+5) % 7
-    return weekday
+    ''' Converts day count to a weekday based on Excel date '''
+    week_day = (day_count+5) % 7
+    return week_day
 
 ###############################################################################
 
@@ -448,11 +450,11 @@ def eom(self):
         leap_year = is_leap_year(y)
 
         if leap_year:
-            lastDay = month_days_leap_year[m - 1]
-            return Date(lastDay, m, y)
+            last_day = month_days_leap_year[m - 1]
+            return Date(last_day, m, y)
         else:
-            lastDay = month_days_not_leap_year[m - 1]
-            return Date(lastDay, m, y)
+            last_day = month_days_not_leap_year[m - 1]
+            return Date(last_day, m, y)
 
         return False
 
@@ -470,11 +472,11 @@ def add_hours(self, hours):
         hour = final_hour % 24
 
         # Move forward a specific number of days
-        dt1 = self.add_days(days)
+        dt_1 = self.add_days(days)
 
         # On that date we then move to the correct hour
-        dt2 = Date(dt1._d, dt1._m, dt1._y, hour, dt1._mm, dt1._ss)
-        return dt2
+        dt_2 = Date(dt_1.d(), dt_1.m(), dt_1.y(), hour, dt_1._mm, dt_1._ss)
+        return dt_2
 
     ###########################################################################
 
@@ -518,9 +520,10 @@ def add_weekdays(self,
         num_days = abs(num_days)
 
         # 5 week days make up a week
-        oldLogic = False
+        old_logic = False
+
+        if old_logic is True:
 
-        if oldLogic is True:
             num_weeks = int(num_days / 5)
             remaining_days = num_days % 5
 
@@ -531,14 +534,16 @@ def add_weekdays(self,
             else:
                 weekend_adjust = 2
 
-            if (positive_num_days):
-                if (self._weekday + remaining_days > self.FRI):
+            if positive_num_days is True:
+                if self._weekday + remaining_days > self.FRI:
                     # add weekend
                     remaining_days += weekend_adjust
 
                 return self.add_days(num_weeks * 7 + remaining_days)
+
             else:
-                if (self._weekday - remaining_days < self.MON):
+
+                if self._weekday - remaining_days < self.MON:
                     # add weekend
                     remaining_days += weekend_adjust
 
@@ -556,7 +561,7 @@ def add_weekdays(self,
                 else:
                     end_dt = end_dt.add_days(-1)
 
-                if end_dt._weekday == Date.SAT or end_dt._weekday == Date.SUN:
+                if end_dt.weekday() == Date.SAT or end_dt.weekday() == Date.SUN:
                     pass
                 else:
                     num_days_left -= 1
@@ -673,9 +678,9 @@ def next_cds_date(self,
 
         next_dt = self.add_months(mm)
 
-        y = next_dt._y
-        m = next_dt._m
-        d = next_dt._d
+        y = next_dt.y()
+        m = next_dt.m()
+        d = next_dt.d()
 
         d_cds = 20
         y_cds = y
@@ -699,8 +704,8 @@ def next_cds_date(self,
         elif m == 1 or m == 2 or m == 3:
             m_cds = 3
 
-        cdsDate = Date(d_cds, m_cds, y_cds)
-        return cdsDate
+        cds_date = Date(d_cds, m_cds, y_cds)
+        return cds_date
 
     ##########################################################################
 
@@ -719,7 +724,7 @@ def third_wednesday_of_month(self,
 
         for d in range(d_start, d_end+1):
             imm_date = Date(d, m, y)
-            if imm_date._weekday == self.WED:
+            if imm_date.weekday() == self.WED:
                 return d
 
         # Should never reach this line but just to be defensive
@@ -833,9 +838,9 @@ def add_tenor(self,
                     new_date = new_date.add_months(math.copysign(1, num_periods))
 
                 # in case we landed on a 28th Feb and lost the month day we add this logic
-                y = new_date._y
-                m = new_date._m
-                d = min(self._d, new_date.eom()._d)
+                y = new_date.y()
+                m = new_date.m()
+                d = min(self.d(), new_date.eom()._d)
                 new_date = Date(d, m, y)
 
             elif period_type == YEARS:
@@ -861,7 +866,7 @@ def datetime(self):
     # TODO: Find elegant way to return long and short strings
     ###########################################################################
 
-    def str(self, format):
+    def str(self, format=None):
         """ returns a formatted string of the date """
         date_str = ""
 
@@ -925,8 +930,7 @@ def __repr__(self):
         elif g_date_type_format == DateFormatTypes.US_LONGEST:
 
             sep = " "
-            date_str = day_name_str + " " + long_month_str + sep + day_str
-            + sep + long_year_str
+            date_str = day_name_str + " " + long_month_str + sep + day_str + sep + long_year_str
             return date_str
 
         elif g_date_type_format == DateFormatTypes.US_LONG:
@@ -1015,7 +1019,7 @@ def daily_working_day_schedule(self,
 def datediff(d1: Date,
              d2: Date):
     """ Calculate the number of days between two Findates. """
-    dd = (d2._excel_dt - d1._excel_dt)
+    dd = d2.excel_dt() - d1.excel_dt()
     return int(dd)
 
 ###############################################################################
diff --git a/notebooks/products/bonds/FINANNUITY_Valuation.ipynb b/notebooks/products/bonds/FINANNUITY_Valuation.ipynb
index be92b87f..e34addfd 100644
--- a/notebooks/products/bonds/FINANNUITY_Valuation.ipynb
+++ b/notebooks/products/bonds/FINANNUITY_Valuation.ipynb
@@ -27,7 +27,7 @@
      "output_type": "stream",
      "text": [
       "####################################################################\n",
-      "# FINANCEPY BETA Version 0.33 - This build:  11 Nov 2023 at 07:07 #\n",
+      "#  FINANCEPY BETA Version 0.34 - This build:  09 Dec 2023 at 18:59 #\n",
       "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
       "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
       "####################################################################\n",
@@ -236,7 +236,7 @@
       "\n",
       "PAYMENTS VALUATION:\n",
       "+---------+-------------+----------+------+----------+--------+----------+-----------+\n",
-      "| PAY_NUM |   PAY_dt  | NOTIONAL | RATE |   PMNT   |   DF   |    PV    |   CUM_PV  |\n",
+      "| PAY_NUM |    PAY_dt   | NOTIONAL | RATE |   PMNT   |   DF   |    PV    |   CUM_PV  |\n",
       "+---------+-------------+----------+------+----------+--------+----------+-----------+\n",
       "|    1    | 20-DEC-2018 | 1000000  | 5.0  | 25416.67 | 0.9752 | 24786.65 |  24786.65 |\n",
       "|    2    | 20-JUN-2019 | 1000000  | 5.0  | 25277.78 | 0.9512 | 24043.46 |  48830.11 |\n",
@@ -280,7 +280,7 @@
       "\n",
       "PAYMENTS VALUATION:\n",
       "+---------+-------------+----------+--------+----------+--------+----------+-----------+\n",
-      "| PAY_NUM |   PAY_dt  | NOTIONAL |  IBOR  |   PMNT   |   DF   |    PV    |   CUM_PV  |\n",
+      "| PAY_NUM |    PAY_dt   | NOTIONAL |  IBOR  |   PMNT   |   DF   |    PV    |   CUM_PV  |\n",
       "+---------+-------------+----------+--------+----------+--------+----------+-----------+\n",
       "|    1    | 20-SEP-2018 | 1000000  | 5.0794 | 12698.47 | 0.9875 | 12539.24 |  12539.24 |\n",
       "|    2    | 20-DEC-2018 | 1000000  | 5.0238 | 12559.58 | 0.9752 | 12248.26 |  24787.49 |\n",
@@ -380,7 +380,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/products/bonds/FINBONDFUTURES_ExampleContracts.ipynb b/notebooks/products/bonds/FINBONDFUTURES_ExampleContracts.ipynb
index 37463a39..81d38e93 100644
--- a/notebooks/products/bonds/FINBONDFUTURES_ExampleContracts.ipynb
+++ b/notebooks/products/bonds/FINBONDFUTURES_ExampleContracts.ipynb
@@ -33,7 +33,7 @@
      "output_type": "stream",
      "text": [
       "####################################################################\n",
-      "# FINANCEPY BETA Version 0.33 - This build:  11 Nov 2023 at 07:47 #\n",
+      "#  FINANCEPY BETA Version 0.34 - This build:  09 Dec 2023 at 18:59 #\n",
       "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
       "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
       "####################################################################\n",
@@ -174,7 +174,7 @@
     "for bond, clean_price in zip(bonds, prices):\n",
     "    yld = bond.yield_to_maturity(settle_dt, clean_price)\n",
     "    dt = bond._maturity_dt\n",
-    "    print(\"%18s %9.5f %12.8f\"% (dt, bond._coupon * 100, yld*100))"
+    "    print(\"%18s %9.5f %12.8f\"% (dt, bond._cpn * 100, yld*100))"
    ]
   },
   {
@@ -216,7 +216,7 @@
     "for bond in bonds:\n",
     "    cf = bondFutureContract.conversion_factor(bond)\n",
     "    dt = bond._maturity_dt\n",
-    "    print(\"%18s %9.5f %12.8f\"% (dt, bond._coupon * 100, cf))"
+    "    print(\"%18s %9.5f %12.8f\"% (dt, bond._cpn * 100, cf))"
    ]
   },
   {
@@ -281,7 +281,7 @@
     "\n",
     "for bond in bonds:\n",
     "    pip = bondFutureContract.principal_invoice_price(bond, futures_price)\n",
-    "    print(\"%18s %12.5f %20.4f\"% (str(bond._maturity_dt), bond._coupon*100, pip))"
+    "    print(\"%18s %12.5f %20.4f\"% (str(bond._maturity_dt), bond._cpn*100, pip))"
    ]
   },
   {
@@ -316,7 +316,7 @@
     "\n",
     "for bond, clean_price in zip(bonds, prices):\n",
     "    gainloss, payForBond, receiveOnFuture = bondFutureContract.delivery_gain_loss(bond, clean_price, futures_price)\n",
-    "    print(\"%18s %12.5f %20.4f\"% (str(bond._maturity_dt), bond._coupon*100, gainloss))"
+    "    print(\"%18s %12.5f %20.4f\"% (str(bond._maturity_dt), bond._cpn*100, gainloss))"
    ]
   },
   {
@@ -336,7 +336,7 @@
    "source": [
     "ctd = bondFutureContract.cheapest_to_deliver(bonds, prices, futures_price)\n",
     "print(\"CTD MATURITY\", \"CTD COUPON\")\n",
-    "print(str(ctd._maturity_dt), ctd._coupon*100)"
+    "print(str(ctd._maturity_dt), ctd._cpn*100)"
    ]
   },
   {
@@ -363,7 +363,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/products/bonds/FINBONDOPTION_All_Models_Valuation_Analysis.ipynb b/notebooks/products/bonds/FINBONDOPTION_All_Models_Valuation_Analysis.ipynb
index 586df867..e5ad0516 100644
--- a/notebooks/products/bonds/FINBONDOPTION_All_Models_Valuation_Analysis.ipynb
+++ b/notebooks/products/bonds/FINBONDOPTION_All_Models_Valuation_Analysis.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -132,7 +132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -141,7 +141,7 @@
        "01-DEC-2019"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -152,7 +152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,22 +198,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
-    "europeanCall = BondOption(bond, expiry_dt, strike_price, OptionTypes.EUROPEAN_CALL)\n",
-    "americanCall = BondOption(bond, expiry_dt, strike_price, OptionTypes.AMERICAN_CALL)"
+    "europeanCallBondOption = BondOption(bond, expiry_dt, strike_price, OptionTypes.EUROPEAN_CALL)\n",
+    "americanCallBondOption = BondOption(bond, expiry_dt, strike_price, OptionTypes.AMERICAN_CALL)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
-    "europeanPut = BondOption(bond, expiry_dt, strike_price, OptionTypes.EUROPEAN_PUT)\n",
-    "americanPut = BondOption(bond, expiry_dt, strike_price, OptionTypes.AMERICAN_PUT)"
+    "europeanPutBondOption = BondOption(bond, expiry_dt, strike_price, OptionTypes.EUROPEAN_PUT)\n",
+    "americanPutBondOption = BondOption(bond, expiry_dt, strike_price, OptionTypes.AMERICAN_PUT)"
    ]
   },
   {
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -246,7 +246,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -257,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -266,7 +266,7 @@
        "4.319187992657368"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -277,7 +277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -286,7 +286,7 @@
        "0.0"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -340,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -368,7 +368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -396,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -409,7 +409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -430,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -473,7 +473,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/products/bonds/FINBONDOPTION_HW_EXAMPLE_MATCH_DERIVA_GEN.ipynb b/notebooks/products/bonds/FINBONDOPTION_HW_EXAMPLE_MATCH_DERIVA_GEN.ipynb
index 1de7db00..ad07a1ff 100644
--- a/notebooks/products/bonds/FINBONDOPTION_HW_EXAMPLE_MATCH_DERIVA_GEN.ipynb
+++ b/notebooks/products/bonds/FINBONDOPTION_HW_EXAMPLE_MATCH_DERIVA_GEN.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,22 +27,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "####################################################################\n",
-      "# FINANCEPY BETA Version 0.33 - This build:  11 Nov 2023 at 07:47 #\n",
-      "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
-      "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
-      "####################################################################\n",
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from financepy.utils import *\n",
     "from financepy.market.curves import *\n",
@@ -59,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -87,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -97,7 +84,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -114,7 +101,7 @@
        "       0.61027094])"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -139,7 +126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -160,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -181,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -190,7 +177,7 @@
        "01-DEC-2019"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -201,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -243,7 +230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -254,7 +241,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -264,7 +251,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -281,7 +268,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -309,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -318,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -329,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -350,7 +337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -378,24 +365,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
     "if 1==1:\n",
     "    \n",
-    "    settlementDate = Date(1, 12, 2019)\n",
+    "    settle_dt = Date(1, 12, 2019)\n",
     "    issue_dt = Date(1, 12, 2018)\n",
-    "    expiryDate = settlementDate.add_tenor(\"18m\")\n",
-    "    maturity_dt = settlementDate.add_tenor(\"10Y\")\n",
+    "    expiry_dt = settle_dt.add_tenor(\"18m\")\n",
+    "    maturity_dt = settle_dt.add_tenor(\"10Y\")\n",
     "    coupon = 0.05\n",
     "    freq_type = FrequencyTypes.SEMI_ANNUAL\n",
-    "     accrual_type = DayCountTypes.THIRTY_360_BOND\n",
+    "    accrual_type = DayCountTypes.THIRTY_360_BOND\n",
     "    bond = Bond(issue_dt, maturity_dt, coupon, freq_type,  accrual_type)\n",
     "\n",
     "    couponTimes = []\n",
     "    couponFlows = []\n",
-    "    cpn = bond._coupon/bond._frequency\n",
+    "    cpn = bond._cpn/bond._freq\n",
     "\n",
     "    numFlows = len(bond._cpn_dts)\n",
     "    for i in range(0, numFlows):\n",
@@ -403,14 +390,14 @@
     "        pcd = bond._cpn_dts[i-1]\n",
     "        ncd = bond._cpn_dts[i]\n",
     "\n",
-    "        if ncd > settlementDate:\n",
+    "        if ncd > settle_dt:\n",
     "            \n",
     "            if len(couponTimes) == 0:\n",
-    "                flowTime = (pcd - settlementDate) / gDaysInYear\n",
+    "                flowTime = (pcd - settle_dt) / gDaysInYear\n",
     "                couponTimes.append(flowTime)\n",
     "                couponFlows.append(cpn)\n",
     "                \n",
-    "            flowTime = (ncd - settlementDate) / gDaysInYear\n",
+    "            flowTime = (ncd - settle_dt) / gDaysInYear\n",
     "            couponTimes.append(flowTime)\n",
     "            couponFlows.append(cpn)\n",
     "\n",
@@ -423,8 +410,8 @@
     "    model = HWTree(sigma, a, None)\n",
     "\n",
     "    #  Test convergence\n",
-    "    t_exp = (expiryDate - settlementDate)/gDaysInYear\n",
-    "    t_mat = (maturityDate - settlementDate)/gDaysInYear\n",
+    "    t_exp = (expiry_dt - settle_dt)/gDaysInYear\n",
+    "    t_mat = (maturity_dt - settle_dt)/gDaysInYear\n",
     "\n",
     "    # Jamshidian approach\n",
     "    vJam = model.european_bond_option_jamshidian(t_exp, strikePrice, face,\n",
@@ -440,7 +427,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -460,7 +447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -502,7 +489,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/products/bonds/FINBOND_CalculateOptionAdjustedSpread.ipynb b/notebooks/products/bonds/FINBOND_CalculateOptionAdjustedSpread.ipynb
index 7eacffdd..c1de632a 100644
--- a/notebooks/products/bonds/FINBOND_CalculateOptionAdjustedSpread.ipynb
+++ b/notebooks/products/bonds/FINBOND_CalculateOptionAdjustedSpread.ipynb
@@ -36,7 +36,7 @@
      "output_type": "stream",
      "text": [
       "####################################################################\n",
-      "# FINANCEPY BETA Version 0.33 - This build:  11 Nov 2023 at 07:07 #\n",
+      "#  FINANCEPY BETA Version 0.34 - This build:  09 Dec 2023 at 18:59 #\n",
       "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
       "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
       "####################################################################\n",
@@ -222,7 +222,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -267,7 +267,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/products/bonds/FINBOND_CalculatingTheAssetSwapSpread.ipynb b/notebooks/products/bonds/FINBOND_CalculatingTheAssetSwapSpread.ipynb
index 3c33a44a..856d02d2 100644
--- a/notebooks/products/bonds/FINBOND_CalculatingTheAssetSwapSpread.ipynb
+++ b/notebooks/products/bonds/FINBOND_CalculatingTheAssetSwapSpread.ipynb
@@ -34,7 +34,7 @@
      "output_type": "stream",
      "text": [
       "####################################################################\n",
-      "# FINANCEPY BETA Version 0.33 - This build:  11 Nov 2023 at 07:47 #\n",
+      "#  FINANCEPY BETA Version 0.34 - This build:  09 Dec 2023 at 18:59 #\n",
       "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
       "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
       "####################################################################\n",
@@ -306,7 +306,7 @@
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkcAAAGwCAYAAACjPMHLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABce0lEQVR4nO3dd3gU5eL28e9ueiEJhJAQCL33KiQQEUU6yKGIwFEQsCABRA4KesSKKCBKR2yACiJKEQgoIGACoffeO6GFVEjdff/wZX/kgJBgwmST+3Nde8nOzM7eM67uzTwzsyar1WpFRERERAAwGx1AREREJC9RORIRERG5jcqRiIiIyG1UjkRERERuo3IkIiIichuVIxEREZHbqByJiIiI3MbR6AD2xmKxcOHCBQoVKoTJZDI6joiIiGSB1WolISGBwMBAzOZ7HxtSOcqmCxcuEBQUZHQMEREReQBnz56lZMmS91xG5SibChUqBPy1c728vAxOIyIiIlkRHx9PUFCQ7Xv8XlSOsunWUJqXl5fKkYiIiJ3JyikxOiFbRERE5DYqRyIiIiK3UTkSERERuY3KkYiIiMhtVI5EREREbqNyJCIiInIblSMRERGR26gciYiIiNxG5UhERETkNipHIiIiIrdRORIRERG5jcqRiIiIyG1UjvKQDceuciM13egYIiIiBZrKUR6x73wcz3+7laembODIpQSj44iIiBRYKkd5RHJaBj7uThy9nEjHKZH8tPUsVqvV6FgiIiIFjspRHtGgTBHCh4QSWrEoyWkWXv9lD0Pn7yIpRcNsIiIiD5PKUR5S1NOF2c8/wvBWlXEwm1i86wIdJkdy4EK80dFEREQKDJWjPMZsNjGweQV+fLExAV6unLiaRKdpG/hh82kNs4mIiDwEKkd5VMP/P8z2eJVipKZbeGvRPgbN20lCcprR0URERPI1laM8rIiHM18914A321bB0Wxi2Z6LtJ8cyb7zcUZHExERybdUjvI4s9nEi4+W56eXgynh48bpazfoPG0jszee0jCbiIhILlA5shP1ShUmfHAoT1bzJzXDwju/7mfA9zuIu6lhNhERkZykcmRHvN2dmPlsfUa1r4aTg4mV+6NpNymCXWdjjY4mIiKSb6gc2RmTyUTfpmX5+eUQgoq4ce76TbrN2MhXESc0zCYiIpIDVI7sVO0gH5YPDqVtzQDSMqx8uPwgL8zZRuyNVKOjiYiI2DWVIzvm5erE1J71+OCp6jg7mFl98DJtJ0aw/XSM0dFERETslsqRnTOZTDwbXIaFr4RQxtedC3HJPP3FJmasP47FomE2ERGR7FI5yidqlPBm2eBQOtYOJMNi5eMVh+g7eyvXElOMjiYiImJXVI7yEU8XRyY+U4cxnWvi4mhm3eErtJ0UweYT14yOJiIiYjdUjvIZk8lEj0dKsSSsCeX9PLgUn0KPLzcx5Y+jGmYTERHJApWjfKpKgBe/hjWlc70SWKww/vcj9P52C1cSNMwmIiJyLypH+ZiHiyMTnq7DuK61cHNyIOLoVdpOimDjsatGRxMREcmzVI4KgG4Ngvg1rAmV/D25kpBCr68389mqI2RomE1EROQOKkcFREX/QiwZ2JTuDYKwWmHimqP0+moTl+OTjY4mIiKSp6gcFSBuzg580rUWn3evg7uzA5tOxNBmYgR/HrlidDQREZE8Q+WoAOpUtwRLBzWlSkAhriWl0vvbLYz77RDpGRajo4mIiBhO5aiAKu/nyeKBTejVqBRWK0xde5yeX27mYtxNo6OJiIgYSuWoAHN1cmD0v2oypWddPF0c2XIqhrYTI1h76LLR0URERAxjN+VozJgxNGzYkEKFClGsWDE6derE4cOHMy2TnJzMwIED8fX1xdPTky5dunDp0qVMy5w5c4Z27drh7u5OsWLFGD58OOnp6Q9zU/Kc9rUCWTaoKTVKeHH9RhrPz9rKmPCDpGmYTURECiC7KUfr169n4MCBbNq0iVWrVpGWlkbLli1JSkqyLTN06FCWLl3KggULWL9+PRcuXKBz5862+RkZGbRr147U1FQ2btzI7NmzmTVrFqNGjTJik/KUMkU9+GVACH1CygDwxZ8n6P5FFOdjNcwmIiIFi8lqtdrlzW6uXLlCsWLFWL9+PY8++ihxcXH4+fkxd+5cunbtCsChQ4eoWrUqUVFRNG7cmBUrVtC+fXsuXLiAv78/ADNmzOCNN97gypUrODs73/E+KSkppKT8312l4+PjCQoKIi4uDi8vr4ezsQ/Zyn0XGf7zHhKS0/F2c2J8t9o8Wc3f6FgiIiIPLD4+Hm9v7yx9f9vNkaP/FRcXB0CRIkUA2L59O2lpabRo0cK2TJUqVShVqhRRUVEAREVFUbNmTVsxAmjVqhXx8fHs37//ru8zZswYvL29bY+goKDc2qQ8o3WN4oQPDqV2SW/ibqbxwpxtvL/0AKnpGmYTEZH8zy7LkcVi4dVXX6VJkybUqFEDgOjoaJydnfHx8cm0rL+/P9HR0bZlbi9Gt+bfmnc3I0eOJC4uzvY4e/ZsDm9N3hRUxJ0FL4fQv2lZAL7ZcJJuMzZyNuaGwclERERyl12Wo4EDB7Jv3z5+/PHHXH8vFxcXvLy8Mj0KCmdHM/9tX42vnmuAt5sTu8/F0XZSBCv3XTQ6moiISK6xu3IUFhbGsmXLWLt2LSVLlrRNDwgIIDU1ldjY2EzLX7p0iYCAANsy/3v12q3nt5aRO7Wo5k/4kFDqlfIhITmdl7/fwTtL9pGclmF0NBERkRxnN+XIarUSFhbGokWL+OOPPyhbtmym+fXr18fJyYk1a9bYph0+fJgzZ84QHBwMQHBwMHv37uXy5f+7j8+qVavw8vKiWrVqD2dD7FQJHzfmvxTMS83KATA76jRdpm/k1NWk+7xSRETEvtjN1WqvvPIKc+fOZcmSJVSuXNk23dvbGzc3NwAGDBhAeHg4s2bNwsvLi0GDBgGwceNG4K9L+evUqUNgYCBjx44lOjqaZ599lv79+/PRRx9lKUd2znbPr9Yevsywn3YTk5SKp4sjYzrXpEPtQKNjiYiI/K3sfH/bTTkymUx3nf7tt9/Sp08f4K+bQA4bNox58+aRkpJCq1atmDZtWqYhs9OnTzNgwADWrVuHh4cHvXv35uOPP8bR0TFLOVSO/hIdl8zgeTvZcioGgB6PlOKdDtVwdXIwOJmIiMid8mU5yitUjv5PeoaFiWuOMmXtMaxWqBJQiKm96lHez9PoaCIiIpkUiPscifEcHcwMa1mZOX0foainM4eiE+gwOZJFO88ZHU1EROSBqRzJPxZa0Y/wwaEEl/PlRmoGQ+fvZviC3dxM1dVsIiJif1SOJEcU83Ll+/6NGNqiEmYTLNh+jo5TIjlyKcHoaCIiItmiciQ5xsFsYkiLivzQvzF+hVw4ejmRjlMi+WnbWXRqm4iI2AuVI8lxweV9WTEklNCKRUlOs/D6z3sY9tNuklLSjY4mIiJyXypHkiuKerow+/lHGN6qMg5mEwt3nqfDlEgOXow3OpqIiMg9qRxJrjGbTQxsXoEfX2xMgJcrJ64k0WnqBuZuPqNhNhERybNUjiTXNSxThPAhoTSv7EdKuoU3F+1l8I+7SEhOMzqaiIjIHVSO5KEo4uHM170b8mbbKjiaTSzdfYEOkyPZdz7O6GgiIiKZqBzJQ2M2m3jx0fLMfymYEj5unLp2g87TNjIn6pSG2UREJM9QOZKHrn7pwiwf3JQnq/mTmmFh1JL9DJy7g7ibGmYTERHjqRyJIXzcnZn5bH1Gta+Gk4OJ8L3RtJ8cwe6zsUZHExGRAk7lSAxjMpno27QsP78cQlARN87G3KTrjI18HXlSw2wiImIYlSMxXO0gH5YNCqVNjQDSMqx8sOwAL8zZTuyNVKOjiYhIAaRyJHmCt5sT03rV44OnquPsYGb1wUu0mxTJ9tPXjY4mIiIFjMqR5Bkmk4lng8uw8JUQyvi6cz72Jt2/iOKL9cexWDTMJiIiD4fKkeQ5NUp4s3RQUzrUDiTdYmXMikP0m72VmCQNs4mISO5TOZI8qZCrE5OeqcOYzjVxcTSz9vAV2k6MYMvJGKOjiYhIPqdyJHmWyWSixyOlWDywCeX8PIiOT6bHl5uYuvaYhtlERCTXqBxJnle1uBdLw5rSuW4JMixWxv12mN7fbuFqYorR0UREJB9SORK74OHiyITudRjXtRauTmYijl6lzcQINh6/anQ0ERHJZ1SOxK50axDE0rCmVPL35EpCCv/+ajOfrz5ChobZREQkh6gcid2p6F+IJQOb8nSDklis8Pnqozz79WYuxycbHU1ERPIBlSOxS27ODoztWpvPutfG3dmBjcev0XZSBBFHrxgdTURE7JzKkdi1f9UtydJBTakSUIiriak8980Wxv92mPQMi9HRRETETqkcid0r7+fJ4oFN6NmoFFYrTFl7jJ5fbuZi3E2jo4mIiB1SOZJ8wdXJgY/+VZNJPeri6eLIllMxtJ0YwdrDl42OJiIidkblSPKVjrUDWTaoKdUDvbh+I43nv93KmBUHSdMwm4iIZJHKkeQ7ZYp68MuAEHoHlwbgi/Un6P5FFOdjNcwmIiL3p3Ik+ZKrkwPvPVWD6b3qUcjVkR1nYmk7MYJVBy4ZHU1ERPI4lSPJ19rULM7yQaHULulN3M00XpizjQ+WHSA1XcNsIiJydypHku+V8nVnwcsh9G1SFoCvI0/SbcZGzsbcMDiZiIjkRSpHUiA4O5oZ1aEaXz7XAG83J3afi6PtpAhW7rtodDQREcljVI6kQHmymj/LBzelbikfEpLTefn7HbyzZB8p6RlGRxMRkTxC5UgKnJKF3fnppWBealYOgNlRp+kyfSOnriYZnExERPIClSMpkJwczIxsU5Vv+zSksLsT+87H035yJEt3XzA6moiIGEzlSAq05lWKET4klIZlCpOYks6geTt5c9FektM0zCYiUlCpHEmBV9zbjXkvNGZg8/KYTDB38xk6Td3A8SuJRkcTEREDqByJAI4OZoa3qsLs5x/B18OZQ9EJdJgcyaKd54yOJiIiD5nKkchtHq3kx4ohoTQuV4QbqRkMnb+b13/ezc1UDbOJiBQUKkci/6OYlys/9G/MkCcqYjLBT9vO0XFKJEcvJRgdTUREHgKVI5G7cDCbGPpkJX7o1wi/Qi4cvZxIhymR/LTtLFar1eh4IiKSi1SORO4hpEJRwgeH0rRCUZLTLLz+8x6G/bSbpJR0o6OJiEguUTkSuQ+/Qi7M6fsI/2lZCbMJFu48T8cpkRy8GG90NBERyQUqRyJZYDabCHu8IvNeaIy/lwvHryTRaeoG5m4+o2E2EZF8RuVIJBsalfMlfHAozSr5kZJu4c1Fexn84y4SktOMjiYiIjlE5Ugkm3w9Xfi2T0NGtKmCg9nE0t0X6DA5kn3n44yOJiIiOUDlSOQBmM0mXm5Wnp9eakygtyunrt2g87SNfBd1SsNsIiJ2zq7K0Z9//kmHDh0IDAzEZDKxePHiTPOtViujRo2iePHiuLm50aJFC44ePZppmZiYGHr16oWXlxc+Pj7069ePxET9TIQ8mPqlixA+JJQWVYuRmmHh7SX7GTh3B/EaZhMRsVt2VY6SkpKoXbs2U6dOvev8sWPHMmnSJGbMmMHmzZvx8PCgVatWJCcn25bp1asX+/fvZ9WqVSxbtow///yTF1988WFtguRDPu7OfPlcA/7bripODibC90bTblIEu8/GGh1NREQegMlqp2MAJpOJRYsW0alTJ+Cvo0aBgYEMGzaM//znPwDExcXh7+/PrFmzeOaZZzh48CDVqlVj69atNGjQAICVK1fStm1bzp07R2Bg4H3fNz4+Hm9vb+Li4vDy8sq17RP7tOtsLGFzd3Du+k2cHEyMaFOVvk3KYDKZjI4mIlKgZef7266OHN3LyZMniY6OpkWLFrZp3t7eNGrUiKioKACioqLw8fGxFSOAFi1aYDab2bx5813Xm5KSQnx8fKaHyN+pE+TD8sGhtK4eQFqGlQ+WHeDF77YTeyPV6GgiIpJF/6gcpaSk5FSOfyw6OhoAf3//TNP9/f1t86KjoylWrFim+Y6OjhQpUsS2zP8aM2YM3t7etkdQUFAupJf8xNvNien/rsd7Havj7GBm1YFLtJsUyY4z142OJiIiWZCtcrRixQp69+5NuXLlcHJywt3dHS8vL5o1a8bo0aO5cOFCbuU0zMiRI4mLi7M9zp49a3QksQMmk4neIWX4ZUAIpX3dOR97k6dnRPHF+uNYLHY5ki0iUmBkqRwtWrSISpUq0bdvXxwdHXnjjTdYuHAhv/32G1999RXNmjVj9erVlCtXjpdffpkrV67kdu47BAQEAHDp0qVM0y9dumSbFxAQwOXLlzPNT09PJyYmxrbM/3JxccHLyyvTQySrapb0ZtmgprSvVZx0i5UxKw7Rf842YpI0zCYiklc5ZmWhsWPH8tlnn9GmTRvM5jv71NNPPw3A+fPnmTx5Mt9//z1Dhw7N2aT3UbZsWQICAlizZg116tQB/jr5avPmzQwYMACA4OBgYmNj2b59O/Xr1wfgjz/+wGKx0KhRo4eaVwqOQq5OTO5Rl+Dyvry39AB/HLpM24kRTO5Zl4ZlihgdT0RE/oddXa2WmJjIsWPHAKhbty4TJkygefPmFClShFKlSvHJJ5/w8ccfM3v2bMqWLcvbb7/Nnj17OHDgAK6urgC0adOGS5cuMWPGDNLS0nj++edp0KABc+fOzVIGXa0m/8SBC/GEzd3BiatJOJhNvPZkJQY0K4/ZrKvZRERyU3a+v/9RObr10od1mfK6deto3rz5HdN79+7NrFmzsFqtvPPOO8ycOZPY2FiaNm3KtGnTqFSpkm3ZmJgYwsLCWLp0KWazmS5dujBp0iQ8PT2zlEHlSP6ppJR0/rt4H4t2ngcgtGJRPuteh6KeLgYnExHJv3K9HH399dd89tlntrtPV6xYkVdffZX+/fs/WGI7onIkOcFqtbJg2zlG/bqP5DQLxQq5MPGZv4beREQk5+XqfY5GjRrFkCFD6NChAwsWLGDBggV06NCBoUOHMmrUqAcOLVKQmEwmnm4YxK9hTalQzJPLCSn0+moTn68+QoauZhMRMVS2jxz5+fkxadIkevTokWn6vHnzGDRoEFevXs3RgHmNjhxJTruRms47S/azYPs5AELK+/L5M3UoVsjV4GQiIvlHrh45SktLy3SH6Vvq169Penp6dlcnUuC5OzsyrlttJjxdG3dnBzYev0bbiRFEHs3ff9EQEcmrsl2Onn32WaZPn37H9JkzZ9KrV68cCSVSEHWuV5Jfw5pSJaAQVxNTefabzYz/7TDpGRajo4mIFCjZHlYbNGgQc+bMISgoiMaNGwOwefNmzpw5w3PPPYeTk5Nt2QkTJuRs2jxAw2qS25LTMnhv6QHmbTkDwCNlijCpR10CvDXMJiLyoHL1arW7XUp/1xWbTPzxxx/ZWbVdUDmSh+XX3RcY+cseklIzKOLhzKdP16Z55WL3f6GIiNzhod3nqCBSOZKH6eTVJAb+sIMDF+MBeKlZOf7TsjJODv/oN6NFRAqcXD0h+3Znz57VD7GK5KKyRT1Y+EoIzwWXBuCL9Sd4ZuYmzsfeNDiZiEj+le1ylJ6ezttvv423tzdlypShTJkyeHt789///pe0tLTcyChSoLk6OfD+UzWY1qsehVwc2X76Om0nRrDqwKX7v1hERLIt2+Vo0KBBzJw5k7Fjx7Jz50527tzJ2LFj+frrrxk8eHBuZBQRoG3N4iwfHEqtkt7E3UzjhTnb+GDZAVLTdTWbiEhOyvY5R97e3vz444+0adMm0/Tw8HB69OhBXFxcjgbMa3TOkRgtNd3CxysO8c2GkwDUDvJhSo+6BBVxNziZiEjelavnHLm4uFCmTJk7ppctWxZnZ+fsrk5EssnZ0cyoDtWY+Wx9vFwd2X02lraTIli576LR0URE8oVsl6OwsDA++OADUlJSbNNSUlIYPXo0YWFhORpORP5ey+oBhA8JpW4pHxKS03n5+x28s2QfKekZRkcTEbFrjllZqHPnzpmer169mpIlS1K7dm0Adu/eTWpqKk888UTOJxSRv1WysDs/vRTM+N8O88WfJ5gddZrtZ64zpUc9yhT1MDqeiIhdylI58vb2zvS8S5cumZ4HBQXlXCIRyRYnBzMj21alUbkiDPtpN/vOx9N+ciQfd6lJ+1qBRscTEbE7uglkNumEbMnLLsbdZPC8nWw9dR2Ano1KMap9NVydHAxOJiJirId2E0gRyVuKe7sx74XGDGxeHpMJ5m4+Q6epGzh+JdHoaCIidiNL5ah169Zs2rTpvsslJCTwySefMHXq1H8cTEQejKODmeGtqjD7+Ufw9XDmUHQCHSZHsmjnOaOjiYjYhSydc9StWze6dOmCt7c3HTp0oEGDBgQGBuLq6sr169c5cOAAkZGRhIeH065dO8aNG5fbuUXkPh6t5Ef4kFCG/LiTTSdiGDp/N1HHr/Fexxq4OWuYTUTk72T5nKOUlBQWLFjA/PnziYyMtN3s0WQyUa1aNVq1akW/fv2oWrVqrgY2ms45EnuTYbEyac1RJv1xFKsVKvl7MrVnPSr6FzI6mojIQ5Od7+8HPiE7Li6Omzdv4uvri5OT0wMFtUcqR2KvNh67ypD5u7iSkIKrk5kPnqpBtwa60lRECoaHckK2t7c3AQEBBaoYidizkApFCR8cStMKRUlOszD85z289tMuklLSjY4mIpKn6Go1kQLEr5ALs/s+wn9aVsJsgoU7ztNxSiSHouONjiYikmeoHIkUMA5mE2GPV2TeC43x93Lh+JUknpqygXlbzqDbnomIqByJFFiNyvkSPjiUZpX8SEm3MHLhXgb/uIuE5DSjo4mIGErlSKQA8/V04ds+DXmjdRUczCaW7r5Ah8mR7DsfZ3Q0ERHDqByJFHBms4kBj5Xnp5caE+jtyqlrN+g8bSPfRZ3SMJuIFEhZupS/cOHCmEymLK0wJibmH4fKy3Qpv+Rn15NSGf7zblYfvAxA25oBfNylFl6uuipVROxbdr6/s3SH7M8//9z252vXrvHhhx/SqlUrgoODAYiKiuK3337j7bfffvDUImK4wh7OfPlcA76OPMnHKw4RvjeavefjmNqzHrVK+hgdT0Tkocj2TSC7dOlC8+bNCQsLyzR9ypQprF69msWLF+dkvjxHR46koNh1NpawuTs4d/0mTg4mRrapyvNNymT5KLKISF6Sq3fI9vT0ZNeuXVSoUCHT9GPHjlGnTh0SE/P3r3+rHElBEnczjdd/3s1v+y8B0LKaP+O61sbbXcNsImJfcvUO2b6+vixZsuSO6UuWLMHX1ze7qxORPMzbzYkZ/67Pex2r4+xg5vcDl2g7KYIdZ64bHU1EJNdk6Zyj27333nv079+fdevW0ahRIwA2b97MypUr+fLLL3M8oIgYy2Qy0TukDPVKFSZs3g5OX7vB0zOieL11Zfo3LYfZrGE2EclfHuiHZzdv3sykSZM4ePAgAFWrVmXw4MG2spSfaVhNCrL45DRGLtzL8j0XAXi8SjE+7Vabwh7OBicTEbm3XD3nqKBTOZKCzmq1MnfLGd5beoDUdAvFvV2Z1KMuDcsUMTqaiMjfytVzjm6XnJxMfHx8poeI5G8mk4lejUqz+JUmlCvqwcW4ZJ6ZuYmpa49hsejvWiJi/7Jdjm7cuEFYWBjFihXDw8ODwoULZ3qISMFQLdCLXwc1pVOdQDIsVsb9dpg+s7ZyNTHF6GgiIv9ItsvR8OHD+eOPP5g+fTouLi589dVXvPfeewQGBjJnzpzcyCgieZSniyOfda/D2C61cHUy8+eRK7SdGMGmE9eMjiYi8sCyfc5RqVKlmDNnDo899hheXl7s2LGDChUq8N133zFv3jzCw8NzK2ueoHOORO7ucHQCA+fu4NjlRMwmGPJEJcIer4CDrmYTkTwgV885iomJoVy5cgB4eXnZfkutadOm/Pnnnw8QV0Tyg8oBhfg1rAnd6pfEYoXPVh/huW82czkh2ehoIiLZku1yVK5cOU6ePAlAlSpV+OmnnwBYunQpPj4+ORpOROyLu7Mj47rVZsLTtXFzcmDDsWu0nRjJhmNXjY4mIpJl2S5Hzz//PLt37wZgxIgRTJ06FVdXV4YOHcrw4cNzPKCI2J/O9UqydFBTqgQU4mpiCv/+ejMTfj9Mhq5mExE78I/vc3T69Gm2b99OhQoVqFWrVk7lyrN0zpFI1iWnZfDe0v3M23IWgEZlizCpR138vVwNTiYiBc1DuwlkcnIyrq4F639yKkci2bdk13neXLiXpNQMing481n3OjSr5Gd0LBEpQHL1hOyMjAw++OADSpQogaenJydOnADg7bff5uuvv36wxCKSrz1VpwTLBodSrbgXMUmp9P5mC5+sPER6hsXoaCIid8h2ORo9ejSzZs1i7NixODv/3+8p1ahRg6+++ipHw4lI/lG2qAcLXwnhueDSAExfd5xnZm7iQuxNg5OJiGSW7XI0Z84cZs6cSa9evXBwcLBNr127NocOHcrRcCKSv7g6OfD+UzWY1qsehVwc2Xb6Om0nRbDm4CWjo4mI2GS7HJ0/f54KFSrcMd1isZCWlpYjoUQkf2tbszjLB4dSq6Q3sTfS6Dd7G6OXHyBNw2wikgdkuxxVq1aNiIiIO6b//PPP1K1bN0dCiUj+V8rXnZ9fDqFvk7IAfBlxkm4zojgbc8PgZCJS0GW7HI0aNYqwsDA++eQTLBYLCxcu5IUXXmD06NGMGjUqNzLmiqlTp1KmTBlcXV1p1KgRW7ZsMTqSSIHj7GhmVIdqzHy2Pl6ujuw6G0u7SRH8tj/a6GgiUoBluxw99dRTLF26lNWrV+Ph4cGoUaM4ePAgS5cu5cknn8yNjDlu/vz5vPbaa7zzzjvs2LGD2rVr06pVKy5fvmx0NJECqWX1AMKHhFK3lA/xyem89N123v11PynpGUZHE5ECKFv3OUpPT+ejjz6ib9++lCxZMjdz5apGjRrRsGFDpkyZAvx1vlRQUBCDBg1ixIgRmZZNSUkhJSXF9jw+Pp6goCDd50gkF6RlWBj322Fm/vnXLUJqlvBmSs+6lPb1MDiZiNi7XLvPkaOjI2PHjiU9Pf0fBTRSamoq27dvp0WLFrZpZrOZFi1aEBUVdcfyY8aMwdvb2/YICgp6mHFFChQnBzNvtq3KN30aUNjdib3n42g/KZLley4aHU1ECpBsD6s98cQTrF+/PjeyPBRXr14lIyMDf3//TNP9/f2Jjr7zPIeRI0cSFxdne5w9e/ZhRRUpsB6v4k/4kFAalilMQko6A+fu4L+L95KcpmE2Ecl9jtl9QZs2bRgxYgR79+6lfv36eHhkPtzdsWPHHAuXF7i4uODi4mJ0DJECp7i3G/NeaMyEVUeYtu443286w/bTsUztWZdyfp5GxxORfCzb5eiVV14BYMKECXfMM5lMZGTk7b/ZFS1aFAcHBy5dynzTuUuXLhEQEGBQKhG5G0cHM6+3rkKjcr68Nn8XBy/G02FyJB91rslTdUoYHU9E8qlsD6tZLJa/feT1YgTg7OxM/fr1WbNmjW2axWJhzZo1BAcHG5hMRP5Os0p+hA8JpXG5IiSlZjDkx12M+GUPN1Pz/v9zRMT+ZLsc5QevvfYaX375JbNnz+bgwYMMGDCApKQknn/+eaOjicjf8Pdy5Yf+jRn8REVMJvhx61k6Td3AscsJRkcTkXzmgcrRmjVraN++PeXLl6d8+fK0b9+e1atX53S2XNO9e3fGjx/PqFGjqFOnDrt27WLlypV3nKQtInmLg9nEa09W4od+jSjq6cLhSwl0mLyBn7efMzqaiOQj2brPEcC0adMYMmQIXbt2tQ1Dbdq0iZ9//pnPPvuMgQMH5krQvCI790kQkdxzJSGFofN3EXnsKgBd6pXkg07VcXfO9qmUIlIAZOf7O9vlqGTJkowYMYKwsLBM06dOncpHH33E+fPns5/YjqgcieQdGRYr09Ye47PVR7BYobyfB9N61adyQCGjo4lIHpNrN4EEiI2NpXXr1ndMb9myJXFxcdldnYjIA3Mwmxj0REXmvtAYfy8Xjl9JouOUSH7ccoZs/r1PRMQm2+WoY8eOLFq06I7pS5YsoX379jkSSkQkOxqX8yV8cCjNKvmRkm5hxMK9vDp/F4kp9ns3fxExTraH1T788EPGjx9PkyZNMp1ztGHDBoYNG5bpUNXgwYNzNm0eoGE1kbzLYrHyxZ8nGP/7YTIsVsoV9WByz7pUD/Q2OpqIGCxXzzkqW7ZslpYzmUycOHEiO6u2CypHInnftlMxDJq3k4txyTg7mnm7fTX+3agUJpPJ6GgiYpBcLUcFncqRiH24npTK8J93s/rgZQDa1SzOmC418XJ1MjiZiBghV0/I/l/p6ekkJib+09WIiOSowh7OfPlcA/7briqOZhPL916k/aRI9pyLNTqaiORxWS5HS5cuZdasWZmmjR49Gk9PT3x8fGjZsiXXr1/P6XwiIg/MZDLRP7QcC14OpoSPG2dibtBl+ka+3XBSV7OJyN/KcjmaMGECSUlJtucbN25k1KhRvP322/z000+cPXuWDz74IFdCioj8E3VLFSZ8cCitqvuTlmHlvaUHePn77cTdSDM6mojkQVk+56hYsWL89ttv1K1bF/jr98kOHDjAypUrAQgPD2fIkCEcPXo099LmATrnSMR+Wa1WZm88xUfhh0jNsFDCx40pPetSt1Rho6OJSC7LlXOOEhIS8PX1tT2PjIzkiSeesD2vXr06Fy5ceIC4IiIPh8lkok+TsvwyIIRSRdw5H3uTbjOi+PLPExpmExGbLJejEiVKcPDgQQASExPZvXs3ISEhtvnXrl3D3d095xOKiOSwmiW9WTa4Ke1qFSfdYmV0+EH6z97G9aRUo6OJSB6Q5XLUrVs3Xn31Vb777jteeOEFAgICaNy4sW3+tm3bqFy5cq6EFBHJaV6uTkzpUZcPO9XA2dHMmkOXaTspgm2nYoyOJiIGy3I5GjVqFA0bNmTw4MHs2rWL77//HgcHB9v8efPm0aFDh1wJKSKSG0wmE/9uXJpFr4RQtqgHF+OS6T5zE9PWHcNi0TCbSEGlm0Bmk07IFsmfElPSeWvRXpbs+uvcyWaV/JjwdG18PV0MTiYiOeGh3gRSRCQ/8HRx5PPudfikS01cncysP3KFtpMi2HTimtHRROQhUzkSEfn/TCYT3RuWYsnAplQo5sml+BR6frmJSWuOkqFhNpECQ+VIROR/VA4oxK9hTehavyQWK0xYdYTnvtnM5YRko6OJyEOgciQichfuzo6M71abT7vVxs3JgQ3HrtF2YiQbjl01OpqI5DKVIxGRe+hSvyRLBzWhsn8hriam8O+vNzPh98MaZhPJxx6oHK1Zs4b27dtTvnx5ypcvT/v27Vm9enVOZxMRyRMqFCvEkrAm9HgkCKsVJv1xjJ5fbuJSvIbZRPKjbJejadOm0bp1awoVKsSQIUMYMmQIXl5etG3blqlTp+ZGRhERw7k6OTCmcy0mPlMHD2cHNp+Moc3ECNYfuWJ0NBHJYdm+z1HJkiUZMWIEYWFhmaZPnTqVjz76iPPnz+dowLxG9zkSkRNXEhk4dycHL8YDMOCx8gx7shKODjpTQSSvytX7HMXGxtK6des7prds2ZK4uLjsrk5ExO6U8/Nk0SshPNu4NADT1x3nmZmbuBB70+BkIpITsl2OOnbsyKJFi+6YvmTJEtq3b58joURE8jpXJwc+6FSDqT3rUcjFkW2nr9N2UgR/HLpkdDQR+YeyPaz24YcfMn78eJo0aUJwcDAAmzZtYsOGDQwbNizToarBgwfnbNo8QMNqIvK/Tl9LImzuTvae/+vo+QuhZXm9dRWcNMwmkmdk5/s72+WobNmyWVrOZDJx4sSJ7KzaLqgcicjdpKRn8PGKQ3y74RQAdYJ8mNyjLkFF3I0NJiJALpejgk7lSETu5bf90QxfsJv45HS8XB0Z1602raoHGB1LpMDTD8+KiBikVfUAlg8OpU6QD/HJ6bz03XbeW7qf1HSL0dFEJIse6MjRuXPn+PXXXzlz5gypqamZ5k2YMCHHwuVFOnIkIlmRmm5h3G+H+DLiJAC1SnozpUc9SvlqmE3ECNn5/nbM7srXrFlDx44dKVeuHIcOHaJGjRqcOnUKq9VKvXr1Hji0iEh+4uxo5q121WhczpdhC3az51wc7SZF8EnXWrStWdzoeCJyD9keVhs5ciT/+c9/2Lt3L66urvzyyy+cPXuWZs2a0a1bt9zIKCJit56o6k/44FAalC5MQko6r/ywg7cX7yM5LcPoaCLyN7Jdjg4ePMhzzz0HgKOjIzdv3sTT05P333+fTz75JMcDiojYu0AfN+a92JhXHisPwHebTtN52kZOXk0yOJmI3E22y5GHh4ftPKPixYtz/Phx27yrV6/mXDIRkXzEycHM662rMLvvIxTxcObAxXjaT4pgya78/ZNLIvYo2+WocePGREZGAtC2bVuGDRvG6NGj6du3L40bN87xgCIi+UmzSn6sGBJKo7JFSErNYMiPuxi5cI+G2UTykGxfrXbixAkSExOpVasWSUlJDBs2jI0bN1KxYkUmTJhA6dKlcytrnqCr1UQkJ6RnWJi05iiT1x7DaoUqAYWY0rMeFYp5Gh1NJF/STSBzkcqRiOSkyKNXeXX+Lq4mpuDm5MCHnWrQpX5Jo2OJ5Du5ehPIUaNGsXbtWpKTkx84oIiI/KVpxaKED2lKkwq+3EzLYNiC3fxnwW5upKYbHU2kwMp2OYqKiqJDhw74+PgQGhrKf//7X1avXs3NmzdzI5+ISL5XrJArc/o24rUnK2E2wc/bz/HUlA0cuZRgdDSRAumBhtXS09PZvHkzf/75J+vXr2fjxo2kpKTQsGFD28na+ZWG1UQkN206cY0hP+7kUnwKrk5m3u9Yg24NSmIymYyOJmLXcv231RwdHWnSpAldunThX//6F61atcJisXDo0KEHCiwiIn9pXM6X8MGhPFrJj+Q0C6//soeh83eRmKJhNpGHJdvlaObMmfTs2ZMSJUoQEhLCypUradq0Kdu2bePKlSu5kVFEpEDx9XRhVp+GvN66Mg5mE4t3XaDj5EgOXIg3OppIgZDtYTWz2Yyfnx/Dhg3jlVdewdOzYF12qmE1EXmYtp2KYdC8nVyMS8bZ0cw7HarR85FSGmYTyaZcHVZbuHAhvXr14scff8TPz4+QkBDefPNNfv/9d27cuPHAoUVE5E4NyhQhfHAoT1QpRmq6hbcW7SNs3k4SktOMjiaSb/2j+xzFxcURERHBggULmDdvHmazOd9f4q8jRyJiBKvVylcRJ/lk5SHSLVZK+7ozpUc9apb0NjqaiF3Izve344O8wbVr11i/fj3r1q1j3bp17N+/n8KFCxMaGvpAgUVE5N5MJhMvPFqO+mUKM2juTk5fu0GX6Rt5s20VeoeU0TCbSA7K9pGjmjVrcvDgQQoXLsyjjz7KY489RrNmzahVq1ZuZcxTdORIRIwWdyON4T/v5vcDlwBoXT2AT7rWwtvNyeBkInlXrv58yNSpU2nWrBk1atT4RyHtlcqRiOQFVquVWRtP8VH4QdIyrJQs7MaUnvWoE+RjdDSRPClXT8geOHBgpmKUnp5OYmJi9lNm0+jRowkJCcHd3R0fH5+7LnPmzBnatWuHu7s7xYoVY/jw4aSnZ743yLp166hXrx4uLi5UqFCBWbNm5Xp2EZGcZjKZeL5JWX4ZEEKpIu6cu36TrtM38lXECfSTmSL/TJbL0dKlS+8oEqNHj8bT0xMfHx9atmzJ9evXczqfTWpqKt26dWPAgAF3nZ+RkUG7du1ITU1l48aNzJ49m1mzZjFq1CjbMidPnqRdu3Y0b96cXbt28eqrr9K/f39+++23XMstIpKbapX0YdngprStGUC6xcqHyw/ywpxtxN5INTqaiN3K8rBa8+bN6dq1KwMHDgRg48aNhIaG8v7771O1alXeeust2rRpw4QJE3I18KxZs3j11VeJjY3NNH3FihW0b9+eCxcu4O/vD8CMGTN44403uHLlCs7OzrzxxhssX76cffv22V73zDPPEBsby8qVK7P0/hpWE5G8yGq18v3mM3yw7ACp6RYCvV2Z3LMu9UsXMTqaSJ6QK8Nq+/fvJyQkxPb8559/5sknn+Stt96ic+fOfPrppyxduvTBU/9DUVFR1KxZ01aMAFq1akV8fDz79++3LdOiRYtMr2vVqhVRUVF/u96UlBTi4+MzPURE8hqTycSzjUuz6JUQyhb14EJcMk9/sYnp645jsWiYTSQ7slyOEhIS8PX1tT2PjIzkiSeesD2vXr06Fy5cyNl02RAdHZ2pGAG259HR0fdcJj4+nps3b951vWPGjMHb29v2CAoKyoX0IiI5o3qgN0sHNaVj7UAyLFY+WXmIvrO3ci0xxehoInYjy+WoRIkSHDx4EIDExER2796d6UjStWvXcHd3z9abjxgxApPJdM+H0T9mO3LkSOLi4myPs2fPGppHROR+PF0cmfhMHT7uXBMXRzPrDl+h7aQINp+4ZnQ0EbuQ5ZtAduvWjVdffZU333yT8PBwAgICaNy4sW3+tm3bqFy5crbefNiwYfTp0+eey5QrVy5L6woICGDLli2Zpl26dMk279Y/b027fRkvLy/c3Nzuul4XFxdcXFyylEFEJK8wmUw880gp6pTyYeAPOzh+JYkeX25iaItKvNK8Ag5m3TRS5O9kuRyNGjWK8+fPM3jwYAICAvj+++9xcHCwzZ83bx4dOnTI1pv7+fnh5+eXrdf8neDgYEaPHs3ly5cpVqwYAKtWrcLLy4tq1arZlgkPD8/0ulWrVhEcHJwjGURE8poqAV78GtaUt5fsY+GO83y66gibT8bwWfc6+BXSX/xE7uYf/bbaw3TmzBliYmL49ddfGTduHBEREQBUqFABT09PMjIyqFOnDoGBgYwdO5bo6GieffZZ+vfvz0cffQT8dSl/jRo1GDhwIH379uWPP/5g8ODBLF++nFatWmUph65WExF7tWDbWUYt2c/NtAyKerow6Zk6hFQoanQskYciV++QbZQ+ffowe/bsO6avXbuWxx57DIDTp08zYMAA1q1bh4eHB7179+bjjz/G0fH/DpCtW7eOoUOHcuDAAUqWLMnbb79936G926kciYg9O3opgYFzd3DkUiImEwx6vCJDnqioYTbJ9/JlOcorVI5ExN7dTM3g3V/3M3/bXxeYNC5XhInP1MXfy9XgZCK5J1d/PkREROybm7MDn3Stxefd6+Du7MCmEzG0nRjB+iNXjI4mkieoHImIFFCd6pZg2aCmVC3uxbWkVHp/s4WxKw+RnmExOpqIobJdjubMmUNKyp03E0tNTWXOnDk5EkpERB6Ocn6eLHolhF6NSgEwbd1xeny5iYtxd78xrkhBkO1zjhwcHLh48aLtcvlbrl27RrFixcjIyMjRgHmNzjkSkfxq2Z4LjPhlL4kp6RR2d+LTp2vzeBX/+79QxA7k6jlHVqsVk+nOqxrOnTuHt7d3dlcnIiJ5RPtagSwf3JQaJby4fiONvrO28VH4QdI0zCYFTJZvAlm3bl3bT3o88cQTmS6Pz8jI4OTJk7Ru3TpXQoqIyMNR2teDXwaEMCb8ELM2nmLmnyfYeiqGyT3qUrJw9n4iSsReZbkcderUCYBdu3bRqlUrPD09bfOcnZ0pU6YMXbp0yfGAIiLycLk4OvBux+o0LleE4T/vYeeZWNpOjGB8t9q0rB5gdDyRXJftc45mz55N9+7dcXUtmPfD0DlHIlKQnI25Qdi8new+GwvA803KMLJNVZwddbGz2JdcPeeod+/eJCcn89VXXzFy5EhiYmIA2LFjB+fPn3+wxCIikicFFXFnwUvBvBBaFoBvN5yi64yNnLl2w+BkIrkn2+Voz549VKpUiU8++YTx48cTGxsLwMKFCxk5cmRO5xMREYM5O5p5q101vnquAT7uTuw5F0e7SRGE771odDSRXJHtcjR06FD69OnD0aNHMw2ttW3blj///DNHw4mISN7Ropo/yweHUr90YRJS0nnlhx28vXgfyWn5+xYuUvBkuxxt27aNl1566Y7pJUqUIDo6OkdCiYhI3lTCx40fX2zMy83KA/DdptN0mb6Rk1eTDE4mknOyXY5cXFyIj4+/Y/qRI0fw8/PLkVAiIpJ3OTmYGdGmCrOeb0gRD2f2X4in/aQIft19wehoIjki2+WoY8eOvP/++6SlpQFgMpk4c+YMb7zxhi7lFxEpQB6rXIzwwaE8UrYISakZDJ63k5EL92qYTexetsvRp59+SmJiIsWKFePmzZs0a9aMChUqUKhQIUaPHp0bGUVEJI8K8HZlbv9GDHq8AiYTzNtyhk5TN3DscqLR0UQeWLbvc3TLhg0b2L17N4mJidSrV48WLVrkdLY8Sfc5EhG5u8ijV3l1/i6uJqbg7uzAh51q0LleSaNjiQDZ+/5+4HJ0u9jYWHx8fP7pauyCypGIyN+7nJDMqz/uYuPxawB0rV+S95+qjrtzln+QQSRX5OpNID/55BPmz59ve/7000/j6+tLiRIl2L17d/bTiohIvlGskCvf9WvE0BaVMJvg5+3neGrKBo5cSjA6mkiWZbsczZgxg6CgIABWrVrFqlWrWLFiBW3atGH48OE5HlBEROyLg9nEkBYV+aF/Y4oVcuHo5UQ6Tonkp61nyYHBCpFcl+1yFB0dbStHy5Yt4+mnn6Zly5a8/vrrbN26NccDioiIfQou70v4kFBCKxYlOc3C67/sYej8XSSlpBsdTeSesl2OChcuzNmzZwFYuXKl7URsq9VKRoYu3xQRkf9T1NOF2c8/wuutK+NgNrF41wU6TI7kwIU775cnkldkuxx17tyZnj178uSTT3Lt2jXatGkDwM6dO6lQoUKOBxQREftmNpt45bEK/PhiY4p7u3LiahKdpm3gh82nNcwmeVK2y9Fnn31GWFgY1apVY9WqVXh6egJw8eJFXnnllRwPKCIi+UPDMkVYPjiUx6sUIzXdwluL9hE2bycJyWlGRxPJJEcu5S9IdCm/iMg/Y7FY+SryBGNXHibdYqW0rztTe9ajRglvo6NJPparl/LPnj2b5cuX256//vrr+Pj4EBISwunTp7OfVkREChSz2cSLj5bnp5eDKeHjxulrN+g8bSOzN57SMJvkCdkuRx999BFubm4AREVFMXXqVMaOHUvRokUZOnRojgcUEZH8qV6pwoQPDuXJav6kZlh459f9DPh+B3E3Ncwmxsr2sJq7uzuHDh2iVKlSvPHGG1y8eJE5c+awf/9+HnvsMa5cuZJbWfMEDauJiOQsq9XKtxtOMWbFQdIyrJQs7MaUnvWoE+RjdDTJR3J1WM3T05Nr1/66Lfzvv//Ok08+CYCrqys3b958gLgiIlKQmUwm+jYty88vhxBUxI1z12/SdfpGvoo4oWE2MUS2y9GTTz5J//796d+/P0eOHKFt27YA7N+/n9KlS+d4QBERKRhqB/mwfHAobWsGkG6x8uHyg7wwZxuxN1KNjiYFTLbL0dSpUwkODubKlSv88ssv+Pr6ArB9+3Z69uyZ4wFFRKTg8HJ1YmrPenzwVHWcHcysPniZthMj2H46xuhoUoDk6KX8+/bto0aNGjm1ujxJ5xyJiDwc+87HETZ3B6eu3cDBbGJ4q8q8GFoOs9lkdDSxQ7l6ztH/SkhIYObMmTRq1IjatWv/09WJiIgAUKOEN8sGh9KxdiAZFisfrzhE39lbuZaYYnQ0yeceuBz9+eef9O7dm+LFizN+/HiaN2/Opk2bcjKbiIgUcJ4ujkx8pg5jOtfExdHMusNXaDspgs0nrhkdTfIxx+wsHB0dzaxZs/j666+Jj4/n6aefJiUlhcWLF1OtWrXcyigiIgWYyWSixyOlqFvKh4E/7OD4lSR6fLmJoS0q8UrzCjhomE1yWJaPHHXo0IHKlSuzZ88ePv/8cy5cuMDkyZNzM5uIiIhNlQAvfg1rSud6JbBY4dNVR+j9zRauJGiYTXJWlsvRihUr6NevH++99x7t2rXDwcEhN3OJiIjcwcPFkQlP12Fc11q4OTkQeewqbSdFsPHYVaOjST6S5XIUGRlJQkIC9evXp1GjRkyZMoWrV/VhFBGRh69bgyB+DWtCJX9PriSk0OvrzUxYdYQMi24aKf9clstR48aN+fLLL7l48SIvvfQSP/74I4GBgVgsFlatWkVCQkJu5hQREcmkon8hlgxsSvcGQVitMGnNUXp9tYlL8clGRxM794/uc3T48GG+/vprvvvuO2JjY3nyySf59ddfczJfnqP7HImI5D2Ld57nzUV7uZGaga+HM591r8OjlfyMjiV5yEO7z1HlypUZO3Ys586dY968ef9kVSIiIg+sU90SLB3UlCoBhbiWlErvb7cw7rdDpGdYjI4mdihH75BdEOjIkYhI3pWclsEHyw7ww+YzADQsU5hJPepS3NvN4GRitId6h2wREZG8wtXJgdH/qsmUnnXxdHFk66nrtJ0YwdpDl42OJnZE5UhERPKd9rUCWTaoKTVKeHH9RhrPz9rKmPCDpGmYTbJA5UhERPKlMkU9+GVACH1CygDwxZ8nePqLKM5dv2FsMMnzVI5ERCTfcnF04N2O1Znx73oUcnVk55lY2k2K5Pf90UZHkzxM5UhERPK91jWKEz44lNpBPsTdTOPF77bz/tIDpKZrmE3upHIkIiIFQlARdxa8FEz/pmUB+GbDSbrN2MjZGA2zSWYqRyIiUmA4O5r5b/tqfPVcA7zdnNh9Lo62kyJYue+i0dEkD1E5EhGRAqdFNX/Ch4RSv3RhEpLTefn7HbyzZB/JaRlGR5M8wC7K0alTp+jXrx9ly5bFzc2N8uXL884775CampppuT179hAaGoqrqytBQUGMHTv2jnUtWLCAKlWq4OrqSs2aNQkPD39YmyEiInlICR83fnyxMS83Kw/A7KjTdJm+kVNXkwxOJkazi3J06NAhLBYLX3zxBfv37+ezzz5jxowZvPnmm7Zl4uPjadmyJaVLl2b79u2MGzeOd999l5kzZ9qW2bhxIz169KBfv37s3LmTTp060alTJ/bt22fEZomIiMGcHMyMaFOFWc83pIiHM/svxNN+ciRLd18wOpoYyG5/PmTcuHFMnz6dEydOADB9+nTeeustoqOjcXZ2BmDEiBEsXryYQ4cOAdC9e3eSkpJYtmyZbT2NGzemTp06zJgxI0vvq58PERHJn6Ljkhn84062nIwBoMcjpXinQzVcnRwMTiY5oUD8fEhcXBxFihSxPY+KiuLRRx+1FSOAVq1acfjwYa5fv25bpkWLFpnW06pVK6Kiov72fVJSUoiPj8/0EBGR/CfA25W5/Rsx6PEKmEwwb8sZOk3dwPEriUZHk4fMLsvRsWPHmDx5Mi+99JJtWnR0NP7+/pmWu/U8Ojr6nsvcmn83Y8aMwdvb2/YICgrKqc0QEZE8xtHBzLCWlfmubyOKejpzKDqBDpMjWbTznNHR5CEytByNGDECk8l0z8etIbFbzp8/T+vWrenWrRsvvPBCrmccOXIkcXFxtsfZs2dz/T1FRMRYTSsWJXxwKCHlfbmRmsHQ+bt5/efd3EzV1WwFgaORbz5s2DD69Olzz2XKlStn+/OFCxdo3rw5ISEhmU60BggICODSpUuZpt16HhAQcM9lbs2/GxcXF1xcXO67LSIikr8U83Llu36NmPLHMSauOcJP286x80wsU3vVo5J/IaPjSS4ytBz5+fnh5+eXpWXPnz9P8+bNqV+/Pt9++y1mc+aDXsHBwbz11lukpaXh5OQEwKpVq6hcuTKFCxe2LbNmzRpeffVV2+tWrVpFcHBwzmyQiIjkKw5mE0NaVOSRskUY8uNOjl5OpOOUSN5/qgbd6pfEZDIZHVFygV2cc3T+/Hkee+wxSpUqxfjx47ly5QrR0dGZzhXq2bMnzs7O9OvXj/379zN//nwmTpzIa6+9ZltmyJAhrFy5kk8//ZRDhw7x7rvvsm3bNsLCwozYLBERsRPB5X0JHxJKaMWiJKdZeP3nPQz7aTdJKelGR5NcYBeX8s+aNYvnn3/+rvNuj79nzx4GDhzI1q1bKVq0KIMGDeKNN97ItPyCBQv473//y6lTp6hYsSJjx46lbdu2Wc6iS/lFRAoui8XK9PXHmbDqCBkWK+X8PJjasx5Vi+v7IK/Lzve3XZSjvETlSEREtp6KYdDcnUTHJ+PiaOadDtXp8UiQhtnysAJxnyMRERGjNCxThPAhoTxepRgp6RbeXLSXwT/uIiE5zehokgNUjkRERB5AEQ9nvnquAW+2rYKj2cTS3RfoMDmSfefjjI4m/5DKkYiIyAMym028+Gh5fno5mBI+bpy6doPO0zYyJ+oUOmvFfqkciYiI/EP1ShVm+eCmPFnNn9QMC6OW7OeVH3YQd1PDbPZI5UhERCQH+Lg7M/PZ+oxqXw0nBxMr9kXTfnIEu8/GGh1NsknlSEREJIeYTCb6Ni3Lzy+HEFTEjbMxN+k6YyNfR57UMJsdUTkSERHJYbWDfFg2KJQ2NQJIy7DywbIDvDBnO7E3Uo2OJlmgciQiIpILvN2cmNarHh88VR1nBzOrD16i3aRItp++bnQ0uQ+VIxERkVxiMpl4NrgMC18JoYyvO+djb9L9iyi+WH8ci0XDbHmVypGIiEguq1HCm6WDmtKhdiDpFitjVhyi7+ytxCRpmC0vUjkSERF5CAq5OjHpmTqM6VwTF0cz6w5foe3ECLacjDE6mvwPlSMREZGHxGQy0eORUiwe2IRyfh5ExyfzzMwopvxxVMNseYjKkYiIyENWtbgXS8Oa0rluCSxWGP/7EXp/u4UrCSlGRxNUjkRERAzh4eLIp0/XZmzXWrg6mYk4epW2kyLYePyq0dEKPJUjERERg5hMJp5uEMTSsKZULObJlYQU/v3VZj5ffYQMDbMZRuVIRETEYBX9C/FrWFOeblASixU+X32Uf3+1mcvxyUZHK5BUjkRERPIAN2cHxnatzWfda+Pu7EDUiWu0nRRBxNErRkcrcFSORERE8pB/1S3Jr2FNqRJQiKuJqTz3zRbG/3aY9AyL0dEKDJUjERGRPKZCMU8WD2xCz0alsFphytpj9PxyMxfjbhodrUBQORIREcmDXJ0c+OhfNZnUoy6eLo5sORVD24kRrD182eho+Z7KkYiISB7WsXYgywY1pXqgF9dvpPH8t1sZs+IgaRpmyzUqRyIiInlcmaIe/DIghN7BpQH4Yv0Jun8RxflYDbPlBpUjERERO+Dq5MB7T9Vgeq96FHJ1ZMeZWNpOjGDVgUtGR8t3VI5ERETsSJuaxVk+KJTaJb2Ju5nGC3O28cGyA6Sma5gtp6gciYiI2JlSvu4seDmEvk3KAvB15Em6zdjI2ZgbBifLH1SORERE7JCzo5lRHaox89n6eLk6svtcHG0nRbBy30Wjo9k9lSMRERE71rJ6AOFDQqlbyoeE5HRe/n4H7yzZR0p6htHR7JbKkYiIiJ0rWdidn14K5qVHywEwO+o0XaZv5NTVJIOT2SeVIxERkXzAycHMyLZV+bZPQwq7O7HvfDztJ0eydPcFo6PZHZUjERGRfKR5lWKEDwmlYZnCJKakM2jeTt5ctJfkNA2zZZXKkYiISD5T3NuNeS80ZmDz8phMMHfzGTpN3cDxK4lGR7MLKkciIiL5kKODmeGtqjD7+Ufw9XDmUHQCHSZHsmjnOaOj5XkqRyIiIvnYo5X8WDEklMblinAjNYOh83fz+s+7uZmqYba/o3IkIiKSzxXzcuWH/o0Z8kRFTCb4ads5npoaydFLCUZHy5NUjkRERAoAB7OJoU9W4od+jfAr5MKRS4l0mBLJgm1njY6W56gciYiIFCAhFYoSPjiUphWKkpxmYfjPe3jtp10kpaQbHS3PUDkSEREpYPwKuTCn7yP8p2UlzCZYuOM8HadEcvBivNHR8gSVIxERkQLIbDYR9nhF5r3QGH8vF45fSaLT1A3M3XwGq9VqdDxDqRyJiIgUYI3K+RI+OJTHKvuRkm7hzUV7GfzjLhKS04yOZhiVIxERkQLO19OFb3o3ZESbKjiYTSzdfYEOkyPZdz7O6GiGUDkSERERzGYTLzcrz08vNSbQ25VT127QedpGvos6VeCG2VSORERExKZ+6SKEDwmlRVV/UjMsvL1kPwPn7iC+AA2zqRyJiIhIJj7uznz5XH3+264qTg4mwvdG025SBLvPxhod7aFQORIREZE7mEwm+oeWY8HLIZQs7MbZmJt0nbGRbyJP5vthNpUjERER+Vt1gnxYPjiU1tUDSMuw8v6yA7z43XZib6QaHS3XqByJiIjIPXm7OTH93/V4r2N1nB3MrDpwiXaTItlx5rrR0XKFypGIiIjcl8lkondIGRa+EkJpX3fOx97k6RlRzPzzOBZL/hpmUzkSERGRLKtRwptlg5rSvlZx0i1WPgo/RP8524hJyj/DbHZTjjp27EipUqVwdXWlePHiPPvss1y4cCHTMnv27CE0NBRXV1eCgoIYO3bsHetZsGABVapUwdXVlZo1axIeHv6wNkFERCRfKOTqxOQedfnoXzVxdjTzx6HLtJsUwdZTMUZHyxF2U46aN2/OTz/9xOHDh/nll184fvw4Xbt2tc2Pj4+nZcuWlC5dmu3btzNu3DjeffddZs6caVtm48aN9OjRg379+rFz5046depEp06d2LdvnxGbJCIiYrdMJhM9G5ViycAmlCvqwcW4ZJ6ZuYmpa4/Z/TCbyWqn1+P9+uuvdOrUiZSUFJycnJg+fTpvvfUW0dHRODs7AzBixAgWL17MoUOHAOjevTtJSUksW7bMtp7GjRtTp04dZsyYkaX3jY+Px9vbm7i4OLy8vHJ+w0REROxMUko6/128j0U7zwMQWrEon3WvQ1FPF4OT/Z/sfH/bzZGj28XExPDDDz8QEhKCk5MTAFFRUTz66KO2YgTQqlUrDh8+zPXr123LtGjRItO6WrVqRVRU1N++V0pKCvHx8ZkeIiIi8n88XByZ8HRtxnaphauTmYijV2k7MYKo49eMjvZA7KocvfHGG3h4eODr68uZM2dYsmSJbV50dDT+/v6Zlr/1PDo6+p7L3Jp/N2PGjMHb29v2CAoKyqnNERERyTdMJhNPNwzi17CmVCzmyeWEFHp9tYmJq4+SYWfDbIaWoxEjRmAyme75uDUkBjB8+HB27tzJ77//joODA88991yu36Vz5MiRxMXF2R5nz57N1fcTERGxZ5X8C7EkrAnd6pfEYoXPVh/h2a83czkh2ehoWeZo5JsPGzaMPn363HOZcuXK2f5ctGhRihYtSqVKlahatSpBQUFs2rSJ4OBgAgICuHTpUqbX3noeEBBg++fdlrk1/25cXFxwcck7Y6YiIiJ5nbuzI+O61Sa4vC//XbyPjcev0XZiBJ93r0vTikWNjndfhpYjPz8//Pz8Hui1FosF+OucIIDg4GDeeust0tLSbOchrVq1isqVK1O4cGHbMmvWrOHVV1+1rWfVqlUEBwf/g60QERGRu+lcryS1SvoQNncHh6ITePabzYQ1r8CQJyri6JB3z+zJu8lus3nzZqZMmcKuXbs4ffo0f/zxBz169KB8+fK2YtOzZ0+cnZ3p168f+/fvZ/78+UycOJHXXnvNtp4hQ4awcuVKPv30Uw4dOsS7777Ltm3bCAsLM2rTRERE8rUKxTxZPLAJPR4phdUKk/84Rs+vNhMdl3eH2eyiHLm7u7Nw4UKeeOIJKleuTL9+/ahVqxbr16+3DXl5e3vz+++/c/LkSerXr8+wYcMYNWoUL774om09ISEhzJ07l5kzZ1K7dm1+/vlnFi9eTI0aNYzaNBERkXzP1cmBMZ1rMqlHXTycHdhyMoa2kyJYd/iy0dHuym7vc2QU3edIRETkwZ28mkTY3B3sv/DXrXFeblaeYS0r4ZTLw2z5/j5HIiIiYp/KFvXglwEhPBdcGoAZ64/zzMxNnI+9aXCy/6NyJCIiIg+Vq5MD7z9Vg+m96lHI1ZHtp6/TblIEqw9cuv+LHwKVIxERETFEm5rFWT4olNolvYm9kUb/Odv4cNkBUtMthuZSORIRERHDlPJ1Z8HLIfRtUhaAryJP0u2LKG6mZhiWSeVIREREDOXsaGZUh2rMfLY+Xq6OVCteCDdnB8PyGHoTSBEREZFbWlYPYEUJb3w9nO+/cC5SORIREZE8o4SPm9ERNKwmIiIicjuVIxEREZHbqByJiIiI3EblSEREROQ2KkciIiIit1E5EhEREbmNypGIiIjIbVSORERERG6jciQiIiJyG5UjERERkduoHImIiIjcRuVIRERE5DYqRyIiIiK3cTQ6gL2xWq0AxMfHG5xEREREsurW9/at7/F7UTnKpoSEBACCgoIMTiIiIiLZlZCQgLe39z2XMVmzUqHExmKxcOHCBQoVKoTJZDI6juHi4+MJCgri7NmzeHl5GR0n39J+fji0nx8O7eeHR/v6/1itVhISEggMDMRsvvdZRTpylE1ms5mSJUsaHSPP8fLyKvD/4T0M2s8Ph/bzw6H9/PBoX//lfkeMbtEJ2SIiIiK3UTkSERERuY3KkfwjLi4uvPPOO7i4uBgdJV/Tfn44tJ8fDu3nh0f7+sHohGwRERGR2+jIkYiIiMhtVI5EREREbqNyJCIiInIblSMRERGR26gcyX1lZGTw9ttvU7ZsWdzc3ChfvjwffPBBpt+nsVqtjBo1iuLFi+Pm5kaLFi04evSogantU0JCAq+++iqlS5fGzc2NkJAQtm7dapuv/fxg/vzzTzp06EBgYCAmk4nFixdnmp+V/RoTE0OvXr3w8vLCx8eHfv36kZiY+BC3Iu+7335euHAhLVu2xNfXF5PJxK5du+5YR3JyMgMHDsTX1xdPT0+6dOnCpUuXHs4G2Il77ee0tDTeeOMNatasiYeHB4GBgTz33HNcuHAh0zr0eb43lSO5r08++YTp06czZcoUDh48yCeffMLYsWOZPHmybZmxY8cyadIkZsyYwebNm/Hw8KBVq1YkJycbmNz+9O/fn1WrVvHdd9+xd+9eWrZsSYsWLTh//jyg/fygkpKSqF27NlOnTr3r/Kzs1169erF//35WrVrFsmXL+PPPP3nxxRcf1ibYhfvt56SkJJo2bconn3zyt+sYOnQoS5cuZcGCBaxfv54LFy7QuXPn3Ipsl+61n2/cuMGOHTt4++232bFjBwsXLuTw4cN07Ngx03L6PN+HVeQ+2rVrZ+3bt2+maZ07d7b26tXLarVarRaLxRoQEGAdN26cbX5sbKzVxcXFOm/evIea1Z7duHHD6uDgYF22bFmm6fXq1bO+9dZb2s85BLAuWrTI9jwr+/XAgQNWwLp161bbMitWrLCaTCbr+fPnH1p2e/K/+/l2J0+etALWnTt3ZpoeGxtrdXJysi5YsMA27eDBg1bAGhUVlYtp7de99vMtW7ZssQLW06dPW61WfZ6zQkeO5L5CQkJYs2YNR44cAWD37t1ERkbSpk0bAE6ePEl0dDQtWrSwvcbb25tGjRoRFRVlSGZ7lJ6eTkZGBq6urpmmu7m5ERkZqf2cS7KyX6OiovDx8aFBgwa2ZVq0aIHZbGbz5s0PPXN+tX37dtLS0jL9u6hSpQqlSpXSZ/wfiIuLw2Qy4ePjA+jznBX64Vm5rxEjRhAfH0+VKlVwcHAgIyOD0aNH06tXLwCio6MB8Pf3z/Q6f39/2zy5v0KFChEcHMwHH3xA1apV8ff3Z968eURFRVGhQgXt51ySlf0aHR1NsWLFMs13dHSkSJEi2vc5KDo6GmdnZ9uX+C36jD+45ORk3njjDXr06GH74Vl9nu9PR47kvn766Sd++OEH5s6dy44dO5g9ezbjx49n9uzZRkfLd7777jusVislSpTAxcWFSZMm0aNHD8xm/acqItmTlpbG008/jdVqZfr06UbHsSv6P67c1/DhwxkxYgTPPPMMNWvW5Nlnn2Xo0KGMGTMGgICAAIA7rii5dOmSbZ5kTfny5Vm/fj2JiYmcPXuWLVu2kJaWRrly5bSfc0lW9mtAQACXL1/OND89PZ2YmBjt+xwUEBBAamoqsbGxmabrM559t4rR6dOnWbVqle2oEejznBUqR3JfN27cuOPIhYODAxaLBYCyZcsSEBDAmjVrbPPj4+PZvHkzwcHBDzVrfuHh4UHx4sW5fv06v/32G0899ZT2cy7Jyn4NDg4mNjaW7du325b5448/sFgsNGrU6KFnzq/q16+Pk5NTpn8Xhw8f5syZM/qMZ8OtYnT06FFWr16Nr69vpvn6PN+fzjmS++rQoQOjR4+mVKlSVK9enZ07dzJhwgT69u0LgMlk4tVXX+XDDz+kYsWKlC1blrfffpvAwEA6depkbHg789tvv2G1WqlcuTLHjh1j+PDhVKlSheeff177+R9ITEzk2LFjtucnT55k165dFClShFKlSt13v1atWpXWrVvzwgsvMGPGDNLS0ggLC+OZZ54hMDDQoK3Ke+63n2NiYjhz5oztnjuHDx8G/jqSERAQgLe3N/369eO1116jSJEieHl5MWjQIIKDg2ncuLEh25QX3Ws/Fy9enK5du7Jjxw6WLVtGRkaG7TyiIkWK4OzsrM9zVhh8tZzYgfj4eOuQIUOspUqVsrq6ulrLlStnfeutt6wpKSm2ZSwWi/Xtt9+2+vv7W11cXKxPPPGE9fDhwwamtk/z58+3litXzurs7GwNCAiwDhw40BobG2ubr/38YNauXWsF7nj07t3barVmbb9eu3bN2qNHD6unp6fVy8vL+vzzz1sTEhIM2Jq86377+dtvv73r/Hfeece2jps3b1pfeeUVa+HCha3u7u7Wf/3rX9aLFy8as0F51L32863bJNztsXbtWts69Hm+N5PVetttjkVEREQKOJ1zJCIiInIblSMRERGR26gciYiIiNxG5UhERETkNipHIiIiIrdRORIRERG5jcqRiIiIyG1UjkRERERuo3IkInahTJkyfP7553lmPUax9/wi9kDlSESypE+fPphMJtvD19eX1q1bs2fPHqOj2cTHx/PWW29RpUoVXF1dCQgIoEWLFixcuJC89mMAt+9PZ2dnKlSowPvvv096evo9X7d161ZefPHFh5RSpGBSORKRLGvdujUXL17k4sWLrFmzBkdHR9q3b290LABiY2MJCQlhzpw5jBw5kh07dvDnn3/SvXt3Xn/9deLi4oyOeIdb+/Po0aMMGzaMd999l3Hjxt112dTUVAD8/Pxwd3d/mDFFChyVIxHJMhcXF9svqNepU4cRI0Zw9uxZrly5Yltm7969PP7447i5ueHr68uLL75IYmKibX6fPn3o1KkT48ePp3jx4vj6+jJw4EDS0tJsy1y+fJkOHTrg5uZG2bJl+eGHH+6b7c033+TUqVNs3ryZ3r17U61aNSpVqsQLL7zArl278PT0vOvrYmNj6d+/P35+fnh5efH444+ze/du2/zjx4/z1FNP4e/vj6enJw0bNmT16tWZ1lGmTBk++ugj+vbtS6FChShVqhQzZ87M8v4sXbo0AwYMoEWLFvz666+Z9tPo0aMJDAykcuXKtve6fVgtNjaWl156CX9/f1xdXalRowbLli2zzY+MjCQ0NBQ3NzeCgoIYPHgwSUlJ980mUpCpHInIA0lMTOT777+nQoUK+Pr6ApCUlESrVq0oXLgwW7duZcGCBaxevZqwsLBMr127di3Hjx9n7dq1zJ49m1mzZjFr1izb/D59+nD27FnWrl3Lzz//zLRp07h8+fLfZrFYLPz444/06tWLwMDAO+Z7enri6Oh419d269aNy5cvs2LFCrZv3069evV44okniImJsW1n27ZtWbNmDTt37qR169Z06NCBM2fOZFrPp59+SoMGDdi5cyevvPIKAwYM4PDhw1nal7e4ubnZjhABrFmzhsOHD7Nq1apMhef27W7Tpg0bNmzg+++/58CBA3z88cc4ODgAfxW71q1b06VLF/bs2cP8+fOJjIy849+HiPwPq4hIFvTu3dvq4OBg9fDwsHp4eFgBa/Hixa3bt2+3LTNz5kxr4cKFrYmJibZpy5cvt5rNZmt0dLRtPaVLl7amp6fblunWrZu1e/fuVqvVaj18+LAVsG7ZssU2/+DBg1bA+tlnn90126VLl6yAdcKECffdjtKlS9vWExERYfXy8rImJydnWqZ8+fLWL7744m/XUb16devkyZMzrfPf//637bnFYrEWK1bMOn369L9dR+/eva1PPfWUbflVq1ZZXVxcrP/5z39s8/39/a0pKSl/m/+3336zms1m6+HDh+/6Hv369bO++OKLmaZFRERYzWaz9ebNm3+bTaSgu/tfpURE7qJ58+ZMnz4dgOvXrzNt2jTatGnDli1bKF26NAcPHqR27dp4eHjYXtOkSRMsFguHDx/G398fgOrVq9uObgAUL16cvXv3AnDw4EEcHR2pX7++bX6VKlXw8fH521zWBzzZevfu3SQmJtqOfN1y8+ZNjh8/Dvx15Ojdd99l+fLlXLx4kfT0dG7evHnHkaNatWrZ/mwymQgICLjn0S6AZcuW4enpSVpaGhaLhZ49e/Luu+/a5tesWRNnZ+e/ff2uXbsoWbIklSpV+tvt27NnT6ZhSavVisVi4eTJk1StWvWe+UQKKpUjEckyDw8PKlSoYHv+1Vdf4e3tzZdffsmHH36Y5fU4OTllem4ymbBYLA+cy8/PDx8fHw4dOpSt1yUmJlK8eHHWrVt3x7xbZew///kPq1atYvz48VSoUAE3Nze6du2aafgLHmybbpVNZ2dnAgMD7xj6u71k3o2bm9s95ycmJvLSSy8xePDgO+aVKlXqnq8VKchUjkTkgZlMJsxmMzdv3gSgatWqzJo1i6SkJNsX+4YNGzCbzbYTiu+nSpUqpKens337dho2bAjA4cOHiY2N/dvXmM1mnnnmGb777jveeeedO847SkxMxNXV9Y7yUa9ePaKjo3F0dKRMmTJ3XfeGDRvo06cP//rXv2zrOnXqVJa25X7+t2xmV61atTh37hxHjhy569GjevXqceDAgX/0HiIFkU7IFpEsS0lJITo6mujoaA4ePMigQYNITEykQ4cOAPTq1QtXV1d69+7Nvn37WLt2LYMGDeLZZ5+1DandT+XKlWndujUvvfQSmzdvZvv27fTv3/++R0lGjx5NUFAQjRo1Ys6cORw4cICjR4/yzTffULdu3UxXzN3SokULgoOD6dSpE7///junTp1i48aNvPXWW2zbtg2AihUrsnDhQnbt2sXu3bvp2bPnPzrKlZOaNWvGo48+SpcuXVi1ahUnT55kxYoVrFy5EoA33niDjRs3EhYWxq5duzh69ChLlizRCdki96FyJCJZtnLlSooXL07x4sVp1KiR7Yq0xx57DAB3d3d+++03YmJiaNiwIV27duWJJ55gypQp2Xqfb7/9lsDAQJo1a0bnzp158cUXKVas2D1fU6RIETZt2sS///1vPvzwQ+rWrUtoaCjz5s1j3LhxeHt73/Eak8lEeHg4jz76KM8//zyVKlXimWee4fTp07YyN2HCBAoXLkxISAgdOnSgVatW1KtXL1vbk5t++eUXGjZsSI8ePahWrRqvv/46GRkZwF9HltavX8+RI0cIDQ2lbt26jBo16q5X9InI/zFZH/RMRhEREZF8SEeORERERG6jciQiIiJyG5UjERERkduoHImIiIjcRuVIRERE5DYqRyIiIiK3UTkSERERuY3KkYiIiMhtVI5EREREbqNyJCIiInIblSMRERGR2/w/P4IumWp2RJ0AAAAASUVORK5CYII=",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -352,7 +352,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/products/bonds/FINBOND_ExampleAppleCorp.ipynb b/notebooks/products/bonds/FINBOND_ExampleAppleCorp.ipynb
index c3c570ad..1a587a9d 100644
--- a/notebooks/products/bonds/FINBOND_ExampleAppleCorp.ipynb
+++ b/notebooks/products/bonds/FINBOND_ExampleAppleCorp.ipynb
@@ -34,7 +34,7 @@
      "output_type": "stream",
      "text": [
       "####################################################################\n",
-      "#  FINANCEPY BETA Version 0.33 - This build:  09 Dec 2023 at 17:25 #\n",
+      "#  FINANCEPY BETA Version 0.34 - This build:  09 Dec 2023 at 18:59 #\n",
       "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
       "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
       "####################################################################\n",
diff --git a/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison_REPAIR.ipynb b/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison_REPAIR.ipynb
index b406b81d..504a039c 100644
--- a/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison_REPAIR.ipynb
+++ b/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison_REPAIR.ipynb
@@ -41,7 +41,7 @@
      "output_type": "stream",
      "text": [
       "####################################################################\n",
-      "# FINANCEPY BETA Version 0.33 - This build:  11 Nov 2023 at 07:47 #\n",
+      "#  FINANCEPY BETA Version 0.34 - This build:  09 Dec 2023 at 18:59 #\n",
       "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
       "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
       "####################################################################\n",
@@ -338,12 +338,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "WARNING: THE INTERFACE ON THIS FUNCTION WILL CHANGE SOON! THEY ALSO NEED TO BE ADAPTED TO USE NUMBA."
+    "THERE IS AN ERROR HERE THAT NEEDS TO BE FIXED"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -361,9 +361,9 @@
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[1;31mIndexError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[1;32mc:\\Users\\Dominic\\Dropbox\\Desktop\\RESEARCH_DB\\FinancePy\\Code\\financepy-git\\notebooks\\products\\credit\\FINCDSBASKET_ValuationModelComparison.ipynb Cell 30\u001b[0m line \u001b[0;36m1\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/Dominic/Dropbox/Desktop/RESEARCH_DB/FinancePy/Code/financepy-git/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison.ipynb#X41sZmlsZQ%3D%3D?line=11'>12</a>\u001b[0m corr_matrix \u001b[39m=\u001b[39m corr_matrix_generator(rho, num_credits)\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/Dominic/Dropbox/Desktop/RESEARCH_DB/FinancePy/Code/financepy-git/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison.ipynb#X41sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m \u001b[39mfor\u001b[39;00m num_trials \u001b[39min\u001b[39;00m [\u001b[39m5000\u001b[39m]:\n\u001b[1;32m---> <a href='vscode-notebook-cell:/c%3A/Users/Dominic/Dropbox/Desktop/RESEARCH_DB/FinancePy/Code/financepy-git/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison.ipynb#X41sZmlsZQ%3D%3D?line=13'>14</a>\u001b[0m     v1 \u001b[39m=\u001b[39m basket\u001b[39m.\u001b[39;49mvalue_gaussian_mc(value_dt,ntd,issuer_curves,corr_matrix,libor_curve,num_trials,seed)\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/Dominic/Dropbox/Desktop/RESEARCH_DB/FinancePy/Code/financepy-git/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison.ipynb#X41sZmlsZQ%3D%3D?line=14'>15</a>\u001b[0m     v2 \u001b[39m=\u001b[39m basket\u001b[39m.\u001b[39mvalue_1f_gaussian_homo(value_dt,ntd,issuer_curves,beta_vector,libor_curve)\n\u001b[0;32m     <a href='vscode-notebook-cell:/c%3A/Users/Dominic/Dropbox/Desktop/RESEARCH_DB/FinancePy/Code/financepy-git/notebooks/products/credit/FINCDSBASKET_ValuationModelComparison.ipynb#X41sZmlsZQ%3D%3D?line=15'>16</a>\u001b[0m     v3 \u001b[39m=\u001b[39m basket\u001b[39m.\u001b[39mvalue_student_t_mc(value_dt, ntd, issuer_curves, corr_matrix, doF, libor_curve, num_trials,seed)\n",
-      "File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python310\\site-packages\\financepy\\products\\credit\\cds_basket.py:184\u001b[0m, in \u001b[0;36mCDSBasket.value_gaussian_mc\u001b[1;34m(self, value_dt, n_to_default, issuer_curves, correlationMatrix, libor_curve, num_trials, seed)\u001b[0m\n\u001b[0;32m    177\u001b[0m     \u001b[39mraise\u001b[39;00m FinError(\u001b[39m\"\u001b[39m\u001b[39mn_to_default must be 1 to num_credits\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m    179\u001b[0m default_times \u001b[39m=\u001b[39m default_times_gc(issuer_curves,\n\u001b[0;32m    180\u001b[0m                                  correlationMatrix,\n\u001b[0;32m    181\u001b[0m                                  num_trials,\n\u001b[0;32m    182\u001b[0m                                  seed)\n\u001b[1;32m--> 184\u001b[0m rpv01, prot_pv \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mvalue_legs_mc(value_dt,\n\u001b[0;32m    185\u001b[0m                                     n_to_default,\n\u001b[0;32m    186\u001b[0m                                     default_times,\n\u001b[0;32m    187\u001b[0m                                     issuer_curves,\n\u001b[0;32m    188\u001b[0m                                     libor_curve)\n\u001b[0;32m    190\u001b[0m spd \u001b[39m=\u001b[39m prot_pv \u001b[39m/\u001b[39m rpv01\n\u001b[0;32m    191\u001b[0m value \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_notional \u001b[39m*\u001b[39m (prot_pv \u001b[39m-\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_running_cpn \u001b[39m*\u001b[39m rpv01)\n",
-      "File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python310\\site-packages\\financepy\\products\\credit\\cds_basket.py:134\u001b[0m, in \u001b[0;36mCDSBasket.value_legs_mc\u001b[1;34m(self, value_dt, n_to_default, default_times, issuer_curves, libor_curve)\u001b[0m\n\u001b[0;32m    131\u001b[0m \u001b[39mif\u001b[39;00m minTau \u001b[39m<\u001b[39m tmat:\n\u001b[0;32m    133\u001b[0m     numPaymentsIndex \u001b[39m=\u001b[39m \u001b[39mint\u001b[39m(minTau \u001b[39m/\u001b[39m averageAccrualFactor)\n\u001b[1;32m--> 134\u001b[0m     rpv01Trial \u001b[39m=\u001b[39m rpv01ToTimes[numPaymentsIndex]\n\u001b[0;32m    135\u001b[0m     rpv01Trial \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m (minTau \u001b[39m-\u001b[39m numPaymentsIndex \u001b[39m*\u001b[39m\n\u001b[0;32m    136\u001b[0m                    averageAccrualFactor)\n\u001b[0;32m    138\u001b[0m     \u001b[39m# DETERMINE IDENTITY OF N-TO-DEFAULT CREDIT IF BASKET NOT HOMO\u001b[39;00m\n",
+      "Cell \u001b[1;32mIn[20], line 14\u001b[0m\n\u001b[0;32m     12\u001b[0m corr_matrix \u001b[38;5;241m=\u001b[39m corr_matrix_generator(rho, num_credits)\n\u001b[0;32m     13\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m num_trials \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m5000\u001b[39m]:\n\u001b[1;32m---> 14\u001b[0m     v1 \u001b[38;5;241m=\u001b[39m basket\u001b[38;5;241m.\u001b[39mvalue_gaussian_mc(value_dt,ntd,issuer_curves,corr_matrix,libor_curve,num_trials,seed)\n\u001b[0;32m     15\u001b[0m     v2 \u001b[38;5;241m=\u001b[39m basket\u001b[38;5;241m.\u001b[39mvalue_1f_gaussian_homo(value_dt,ntd,issuer_curves,beta_vector,libor_curve)\n\u001b[0;32m     16\u001b[0m     v3 \u001b[38;5;241m=\u001b[39m basket\u001b[38;5;241m.\u001b[39mvalue_student_t_mc(value_dt, ntd, issuer_curves, corr_matrix, doF, libor_curve, num_trials,seed)\n",
+      "File \u001b[1;32mc:\\Users\\Dominic\\anaconda3\\Lib\\site-packages\\financepy\\products\\credit\\cds_basket.py:183\u001b[0m, in \u001b[0;36mCDSBasket.value_gaussian_mc\u001b[1;34m(self, value_dt, n_to_default, issuer_curves, correlation_matrix, libor_curve, num_trials, seed)\u001b[0m\n\u001b[0;32m    176\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m FinError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mn_to_default must be 1 to num_credits\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    178\u001b[0m default_times \u001b[38;5;241m=\u001b[39m default_times_gc(issuer_curves,\n\u001b[0;32m    179\u001b[0m                                  correlation_matrix,\n\u001b[0;32m    180\u001b[0m                                  num_trials,\n\u001b[0;32m    181\u001b[0m                                  seed)\n\u001b[1;32m--> 183\u001b[0m rpv01, prot_pv \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalue_legs_mc(value_dt,\n\u001b[0;32m    184\u001b[0m                                     n_to_default,\n\u001b[0;32m    185\u001b[0m                                     default_times,\n\u001b[0;32m    186\u001b[0m                                     issuer_curves,\n\u001b[0;32m    187\u001b[0m                                     libor_curve)\n\u001b[0;32m    189\u001b[0m spd \u001b[38;5;241m=\u001b[39m prot_pv \u001b[38;5;241m/\u001b[39m rpv01\n\u001b[0;32m    190\u001b[0m value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_notional \u001b[38;5;241m*\u001b[39m (prot_pv \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_running_cpn \u001b[38;5;241m*\u001b[39m rpv01)\n",
+      "File \u001b[1;32mc:\\Users\\Dominic\\anaconda3\\Lib\\site-packages\\financepy\\products\\credit\\cds_basket.py:134\u001b[0m, in \u001b[0;36mCDSBasket.value_legs_mc\u001b[1;34m(self, value_dt, n_to_default, default_times, issuer_curves, libor_curve)\u001b[0m\n\u001b[0;32m    131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m minTau \u001b[38;5;241m<\u001b[39m t_mat:\n\u001b[0;32m    133\u001b[0m     num_pmnts_index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(minTau \u001b[38;5;241m/\u001b[39m avg_acc_factor)\n\u001b[1;32m--> 134\u001b[0m     rpv01_trial \u001b[38;5;241m=\u001b[39m rpv01ToTimes[num_pmnts_index]\n\u001b[0;32m    135\u001b[0m     rpv01_trial \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m (minTau \u001b[38;5;241m-\u001b[39m num_pmnts_index \u001b[38;5;241m*\u001b[39m avg_acc_factor)\n\u001b[0;32m    137\u001b[0m     \u001b[38;5;66;03m# DETERMINE IDENTITY OF N-TO-DEFAULT CREDIT IF BASKET NOT HOMO\u001b[39;00m\n",
       "\u001b[1;31mIndexError\u001b[0m: index 18 is out of bounds for axis 0 with size 18"
      ]
     }
@@ -413,7 +413,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/products/credit/FINCDS_ForwardAndBackward.ipynb b/notebooks/products/credit/FINCDS_ForwardAndBackward.ipynb
index e988cc66..74174f0d 100644
--- a/notebooks/products/credit/FINCDS_ForwardAndBackward.ipynb
+++ b/notebooks/products/credit/FINCDS_ForwardAndBackward.ipynb
@@ -18,7 +18,7 @@
      "output_type": "stream",
      "text": [
       "####################################################################\n",
-      "# FINANCEPY BETA Version 0.33 - This build:  11 Nov 2023 at 07:47 #\n",
+      "#  FINANCEPY BETA Version 0.34 - This build:  09 Dec 2023 at 18:59 #\n",
       "#     This software is distributed FREE AND WITHOUT ANY WARRANTY   #\n",
       "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
       "####################################################################\n",
@@ -64,14 +64,14 @@
       "STEP-IN DATE: FRI 20 FEB 2009\n",
       "MATURITY: SAT 20 MAR 2010\n",
       "NOTIONAL: 36000000\n",
-      "RUNNING COUPON: 100.0bp\n",
+      "RUN COUPON: 100.0bp\n",
       "DAYCOUNT: DayCountTypes.ACT_360\n",
       "FREQUENCY: FrequencyTypes.QUARTERLY\n",
       "CALENDAR: CalendarTypes.WEEKEND\n",
       "BUSDAYRULE: BusDayAdjustTypes.FOLLOWING\n",
       "DATEGENRULE: DateGenRuleTypes.BACKWARD\n",
       "ACCRUED DAYS: 60.0\n",
-      "PAYMENT_DATE, YEAR_FRAC, ACCRUAL_START, ACCRUAL_END, FLOW\n",
+      "PAYMENT_dt, YEAR_FRAC, ACCRUAL_START, ACCRUAL_END, FLOW\n",
       "FRI 20 MAR 2009,     0.244444, MON 22 DEC 2008, THU 19 MAR 2009, 88000.000000\n",
       "MON 22 JUN 2009,     0.261111, FRI 20 MAR 2009, SUN 21 JUN 2009, 94000.000000\n",
       "MON 21 SEP 2009,     0.252778, MON 22 JUN 2009, SUN 20 SEP 2009, 91000.000000\n",
@@ -82,7 +82,7 @@
    ],
    "source": [
     "# Reference: https://www.cdsmodel.com/assets/cds-model/docs/Standard%20CDS%20Examples.pdf\n",
-    "cds_backward = CDS(effective_dt, maturity_dt, running_cpn, notional=36000000, dg_rule_type=DateGenRuleTypes.BACKWARD)\n",
+    "cds_backward = CDS(effective_dt, maturity_dt, running_cpn, notional=36000000, dg_type=DateGenRuleTypes.BACKWARD)\n",
     "print(cds_backward)"
    ]
   },
@@ -99,14 +99,14 @@
       "STEP-IN DATE: FRI 20 FEB 2009\n",
       "MATURITY: SAT 20 MAR 2010\n",
       "NOTIONAL: 36000000\n",
-      "RUNNING COUPON: 100.0bp\n",
+      "RUN COUPON: 100.0bp\n",
       "DAYCOUNT: DayCountTypes.ACT_360\n",
       "FREQUENCY: FrequencyTypes.QUARTERLY\n",
       "CALENDAR: CalendarTypes.WEEKEND\n",
       "BUSDAYRULE: BusDayAdjustTypes.FOLLOWING\n",
       "DATEGENRULE: DateGenRuleTypes.FORWARD\n",
       "ACCRUED DAYS: 0.0\n",
-      "PAYMENT_DATE, YEAR_FRAC, ACCRUAL_START, ACCRUAL_END, FLOW\n",
+      "PAYMENT_dt, YEAR_FRAC, ACCRUAL_START, ACCRUAL_END, FLOW\n",
       "WED 20 MAY 2009,     0.247222, FRI 20 FEB 2009, TUE 19 MAY 2009, 89000.000000\n",
       "THU 20 AUG 2009,     0.255556, WED 20 MAY 2009, WED 19 AUG 2009, 92000.000000\n",
       "FRI 20 NOV 2009,     0.255556, THU 20 AUG 2009, THU 19 NOV 2009, 92000.000000\n",
@@ -116,7 +116,7 @@
     }
    ],
    "source": [
-    "cds_forward = CDS(effective_dt, maturity_dt, running_cpn, notional=36000000, dg_rule_type=DateGenRuleTypes.FORWARD)\n",
+    "cds_forward = CDS(effective_dt, maturity_dt, running_cpn, notional=36000000, dg_type=DateGenRuleTypes.FORWARD)\n",
     "print(cds_forward)"
    ]
   }
@@ -137,7 +137,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.11.5"
   },
   "orig_nbformat": 4
  },
diff --git a/notebooks/products/fx/FXOptionAnalysisAndDeltas.ipynb b/notebooks/products/fx/FXOptionAnalysisAndDeltas.ipynb
index cf460116..aeac79de 100644
--- a/notebooks/products/fx/FXOptionAnalysisAndDeltas.ipynb
+++ b/notebooks/products/fx/FXOptionAnalysisAndDeltas.ipynb
@@ -26,65 +26,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "####################################################################\n",
-      "# FINANCEPY BETA Version 0.220 - This build:  22 Dec 2021 at 18:22 #\n",
-      "#      This software is distributed FREE & WITHOUT ANY WARRANTY    #\n",
-      "#  Report bugs as issues at https://github.com/domokane/FinancePy  #\n",
-      "####################################################################\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\np\\ufunc\\parallel.py:366: NumbaWarning: \u001b[1mThe TBB threading layer requires TBB version 2021 update 1 or later i.e., TBB_INTERFACE_VERSION >= 12010. Found TBB_INTERFACE_VERSION = 7004. The TBB threading layer is disabled.\u001b[0m\n",
-      "  warnings.warn(problem)\n"
-     ]
-    },
-    {
-     "ename": "TypingError",
-     "evalue": "Failed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1mFailed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1m\u001b[1m\u001b[1mFailed in nopython mode pipeline (step: nopython frontend)\n\u001b[1mNameError: name 'np' is not defined\u001b[0m\n\u001b[0m\u001b[1mDuring: resolving callee type: type(CPUDispatcher(<function N at 0x00000223306D11F0>))\u001b[0m\n\u001b[0m\u001b[1mDuring: typing of call at C:\\Users\\Dominic\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\models\\volatility_fns.py (81)\n\u001b[0m\n\u001b[0m\u001b[1mDuring: resolving callee type: type(CPUDispatcher(<function N at 0x00000223306D11F0>))\u001b[0m\n\u001b[0m\u001b[1mDuring: typing of call at C:\\Users\\Dominic\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\models\\volatility_fns.py (81)\n\u001b[0m\n\u001b[1m\nFile \"..\\..\\..\\..\\..\\..\\..\\..\\..\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\models\\volatility_fns.py\", line 81:\u001b[0m\n\u001b[1mdef vol_function_bloomberg(params, f, k, t):\n    <source elided>\n    d1 = np.log(f/k) / vsqrtt + vsqrtt/2.0\n\u001b[1m    delta = N(d1)\n\u001b[0m    \u001b[1m^\u001b[0m\u001b[0m\n\n\u001b[0m\u001b[1mDuring: resolving callee type: type(CPUDispatcher(<function newton_secant at 0x000002233069EA60>))\u001b[0m\n\u001b[0m\u001b[1mDuring: typing of call at C:\\Users\\Dominic\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\market\\volatility\\equity_vol_surface.py (216)\n\u001b[0m\n\u001b[1m\nFile \"..\\..\\..\\..\\..\\..\\..\\..\\..\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\market\\volatility\\equity_vol_surface.py\", line 216:\u001b[0m\n\u001b[1mdef _solver_for_smile_strike(s, t, r, q,\n    <source elided>\n\n\u001b[1m    K = newton_secant(_delta_fit, x0=initial_guess, args=argtuple,\n\u001b[0m    \u001b[1m^\u001b[0m\u001b[0m\n",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mTypingError\u001b[0m                               Traceback (most recent call last)",
-      "\u001b[1;32m~\\AppData\\Local\\Temp/ipykernel_24672/968758256.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mfinancepy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mproducts\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfx\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mfinancepy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmarket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcurves\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mfinancepy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmarket\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvolatility\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\market\\volatility\\__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mequity_vol_curve\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mequity_vol_surface\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mfx_vol_surface\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mfx_vol_surface_plus\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[1;33m.\u001b[0m\u001b[0mibor_cap_vol_curve\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32m~\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\market\\volatility\\equity_vol_surface.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m    197\u001b[0m @njit(float64(float64, float64, float64, float64, int64, int64, float64,\n\u001b[0;32m    198\u001b[0m               float64, float64[:]), fastmath=True)\n\u001b[1;32m--> 199\u001b[1;33m def _solver_for_smile_strike(s, t, r, q,\n\u001b[0m\u001b[0;32m    200\u001b[0m                              \u001b[0moption_type_value\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    201\u001b[0m                              \u001b[0mvolatilityTypeValue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(func)\u001b[0m\n\u001b[0;32m    224\u001b[0m             \u001b[1;32mwith\u001b[0m \u001b[0mtypeinfer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mregister_dispatcher\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdisp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    225\u001b[0m                 \u001b[1;32mfor\u001b[0m \u001b[0msig\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msigs\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 226\u001b[1;33m                     \u001b[0mdisp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msig\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    227\u001b[0m                 \u001b[0mdisp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdisable_compile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    228\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mdisp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\dispatcher.py\u001b[0m in \u001b[0;36mcompile\u001b[1;34m(self, sig)\u001b[0m\n\u001b[0;32m    977\u001b[0m                 \u001b[1;32mwith\u001b[0m \u001b[0mev\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtrigger_event\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"numba:compile\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mev_details\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    978\u001b[0m                     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 979\u001b[1;33m                         \u001b[0mcres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_compiler\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreturn_type\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    980\u001b[0m                     \u001b[1;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mForceLiteralArg\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    981\u001b[0m                         \u001b[1;32mdef\u001b[0m \u001b[0mfolded\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkws\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\dispatcher.py\u001b[0m in \u001b[0;36mcompile\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    143\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mretval\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    144\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mretval\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    146\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    147\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_compile_cached\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreturn_type\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\dispatcher.py\u001b[0m in \u001b[0;36m_compile_cached\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    153\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    154\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 155\u001b[1;33m             \u001b[0mretval\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_compile_core\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreturn_type\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    156\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTypingError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    157\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_failed_cache\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\dispatcher.py\u001b[0m in \u001b[0;36m_compile_core\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    166\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    167\u001b[0m         \u001b[0mimpl\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_get_implementation\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 168\u001b[1;33m         cres = compiler.compile_extra(self.targetdescr.typing_context,\n\u001b[0m\u001b[0;32m    169\u001b[0m                                       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtargetdescr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtarget_context\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    170\u001b[0m                                       \u001b[0mimpl\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler.py\u001b[0m in \u001b[0;36mcompile_extra\u001b[1;34m(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)\u001b[0m\n\u001b[0;32m    684\u001b[0m     pipeline = pipeline_class(typingctx, targetctx, library,\n\u001b[0;32m    685\u001b[0m                               args, return_type, flags, locals)\n\u001b[1;32m--> 686\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompile_extra\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    687\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    688\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler.py\u001b[0m in \u001b[0;36mcompile_extra\u001b[1;34m(self, func)\u001b[0m\n\u001b[0;32m    426\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlifted\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    427\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlifted_from\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 428\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_compile_bytecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    429\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    430\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mcompile_ir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfunc_ir\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlifted\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlifted_from\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler.py\u001b[0m in \u001b[0;36m_compile_bytecode\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    490\u001b[0m         \"\"\"\n\u001b[0;32m    491\u001b[0m         \u001b[1;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunc_ir\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 492\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_compile_core\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    493\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    494\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_compile_ir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler.py\u001b[0m in \u001b[0;36m_compile_core\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    469\u001b[0m                     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfail_reason\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    470\u001b[0m                     \u001b[1;32mif\u001b[0m \u001b[0mis_final_pipeline\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 471\u001b[1;33m                         \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    472\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    473\u001b[0m                 \u001b[1;32mraise\u001b[0m \u001b[0mCompilerError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"All available pipelines exhausted\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler.py\u001b[0m in \u001b[0;36m_compile_core\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    460\u001b[0m                 \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    461\u001b[0m                 \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 462\u001b[1;33m                     \u001b[0mpm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    463\u001b[0m                     \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcr\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    464\u001b[0m                         \u001b[1;32mbreak\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler_machinery.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m    341\u001b[0m                     \u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpipeline_name\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpass_desc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    342\u001b[0m                 \u001b[0mpatched_exception\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_patch_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 343\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mpatched_exception\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    344\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    345\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mdependency_analysis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler_machinery.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m    332\u001b[0m                 \u001b[0mpass_inst\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_pass_registry\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpss\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpass_inst\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    333\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpass_inst\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mCompilerPass\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 334\u001b[1;33m                     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_runPass\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0midx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpass_inst\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    335\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    336\u001b[0m                     \u001b[1;32mraise\u001b[0m \u001b[0mBaseException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Legacy pass in use\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler_lock.py\u001b[0m in \u001b[0;36m_acquire_compile_lock\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     33\u001b[0m         \u001b[1;32mdef\u001b[0m \u001b[0m_acquire_compile_lock\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     34\u001b[0m             \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 35\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     36\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0m_acquire_compile_lock\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     37\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler_machinery.py\u001b[0m in \u001b[0;36m_runPass\u001b[1;34m(self, index, pss, internal_state)\u001b[0m\n\u001b[0;32m    287\u001b[0m             \u001b[0mmutated\u001b[0m \u001b[1;33m|=\u001b[0m \u001b[0mcheck\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpss\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun_initialization\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minternal_state\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    288\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mSimpleTimer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mpass_time\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 289\u001b[1;33m             \u001b[0mmutated\u001b[0m \u001b[1;33m|=\u001b[0m \u001b[0mcheck\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpss\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun_pass\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minternal_state\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    290\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mSimpleTimer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mfinalize_time\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    291\u001b[0m             \u001b[0mmutated\u001b[0m \u001b[1;33m|=\u001b[0m \u001b[0mcheck\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpss\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun_finalizer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minternal_state\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\compiler_machinery.py\u001b[0m in \u001b[0;36mcheck\u001b[1;34m(func, compiler_state)\u001b[0m\n\u001b[0;32m    260\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    261\u001b[0m         \u001b[1;32mdef\u001b[0m \u001b[0mcheck\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcompiler_state\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 262\u001b[1;33m             \u001b[0mmangled\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcompiler_state\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    263\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mmangled\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    264\u001b[0m                 msg = (\"CompilerPass implementations should return True/False. \"\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\typed_passes.py\u001b[0m in \u001b[0;36mrun_pass\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m    103\u001b[0m                               % (state.func_id.func_name,)):\n\u001b[0;32m    104\u001b[0m             \u001b[1;31m# Type inference\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 105\u001b[1;33m             typemap, return_type, calltypes, errs = type_inference_stage(\n\u001b[0m\u001b[0;32m    106\u001b[0m                 \u001b[0mstate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtypingctx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    107\u001b[0m                 \u001b[0mstate\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtargetctx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\typed_passes.py\u001b[0m in \u001b[0;36mtype_inference_stage\u001b[1;34m(typingctx, targetctx, interp, args, return_type, locals, raise_errors)\u001b[0m\n\u001b[0;32m     81\u001b[0m         \u001b[0minfer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuild_constraint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     82\u001b[0m         \u001b[1;31m# return errors in case of partial typing\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 83\u001b[1;33m         \u001b[0merrs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minfer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpropagate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mraise_errors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mraise_errors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     84\u001b[0m         \u001b[0mtypemap\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrestype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcalltypes\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minfer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munify\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mraise_errors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mraise_errors\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     85\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\numba\\core\\typeinfer.py\u001b[0m in \u001b[0;36mpropagate\u001b[1;34m(self, raise_errors)\u001b[0m\n\u001b[0;32m   1072\u001b[0m                                   if isinstance(e, ForceLiteralArg)]\n\u001b[0;32m   1073\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mforce_lit_args\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1074\u001b[1;33m                     \u001b[1;32mraise\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1075\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1076\u001b[0m                     \u001b[1;32mraise\u001b[0m \u001b[0mreduce\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0moperator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mor_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mforce_lit_args\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;31mTypingError\u001b[0m: Failed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1mFailed in nopython mode pipeline (step: nopython frontend)\n\u001b[1m\u001b[1m\u001b[1m\u001b[1mFailed in nopython mode pipeline (step: nopython frontend)\n\u001b[1mNameError: name 'np' is not defined\u001b[0m\n\u001b[0m\u001b[1mDuring: resolving callee type: type(CPUDispatcher(<function N at 0x00000223306D11F0>))\u001b[0m\n\u001b[0m\u001b[1mDuring: typing of call at C:\\Users\\Dominic\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\models\\volatility_fns.py (81)\n\u001b[0m\n\u001b[0m\u001b[1mDuring: resolving callee type: type(CPUDispatcher(<function N at 0x00000223306D11F0>))\u001b[0m\n\u001b[0m\u001b[1mDuring: typing of call at C:\\Users\\Dominic\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\models\\volatility_fns.py (81)\n\u001b[0m\n\u001b[1m\nFile \"..\\..\\..\\..\\..\\..\\..\\..\\..\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\models\\volatility_fns.py\", line 81:\u001b[0m\n\u001b[1mdef vol_function_bloomberg(params, f, k, t):\n    <source elided>\n    d1 = np.log(f/k) / vsqrtt + vsqrtt/2.0\n\u001b[1m    delta = N(d1)\n\u001b[0m    \u001b[1m^\u001b[0m\u001b[0m\n\n\u001b[0m\u001b[1mDuring: resolving callee type: type(CPUDispatcher(<function newton_secant at 0x000002233069EA60>))\u001b[0m\n\u001b[0m\u001b[1mDuring: typing of call at C:\\Users\\Dominic\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\market\\volatility\\equity_vol_surface.py (216)\n\u001b[0m\n\u001b[1m\nFile \"..\\..\\..\\..\\..\\..\\..\\..\\..\\AppData\\Roaming\\Python\\Python39\\site-packages\\financepy\\market\\volatility\\equity_vol_surface.py\", line 216:\u001b[0m\n\u001b[1mdef _solver_for_smile_strike(s, t, r, q,\n    <source elided>\n\n\u001b[1m    K = newton_secant(_delta_fit, x0=initial_guess, args=argtuple,\n\u001b[0m    \u001b[1m^\u001b[0m\u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from financepy.utils import *\n",
     "from financepy.products.fx import *\n",
-    "from financepy.market.volatility import *"
+    "from financepy.market.volatility import *\n",
+    "from financepy.market.curves import *"
    ]
   },
   {
@@ -103,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -112,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -134,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -144,7 +93,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -153,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -178,7 +127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -216,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -239,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -256,7 +205,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -265,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -274,19 +223,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
+       "<Figure size 1000x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -310,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -319,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -328,19 +275,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA04AAAINCAYAAAAJGy/3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAADEZElEQVR4nOzdd3hUxfrA8e+WbHohhBSSkAQIvffQklBDr4LlJ4IIKGJDRfGqV0BFVLoX9SqIIheko0gvoRqqgVCkJiRAQgik9909vz8WFgIBEkjn/TzPPnt2zpw571lIsu/OnBmVoigKQgghhBBCCCHuS13aAQghhBBCCCFEWSeJkxBCCCGEEEI8hCROQgghhBBCCPEQkjgJIYQQQgghxENI4iSEEEIIIYQQDyGJkxBCCCGEEEI8hCROQgghhBBCCPEQkjgJIYQQQgghxENoSzuAkmY0Grly5Qr29vaoVKrSDkcIIYQQQghRShRFITU1lapVq6JWP7hP6YlLnK5cuYK3t3dphyGEEEIIIYQoI2JiYvDy8npgnScucbK3twdMb46Dg0MpRyOEEEIIIYQoLSkpKXh7e5tzhAd54hKnW8PzHBwcJHESQgghhBBCFOgWHpkcQgghhBBCCCEeQhInIYQQQgghhHgISZyEEEIIIYQQ4iGeuHucCkJRFPR6PQaDobRDEeKJoNFo0Gq1skSAEEIIIcosSZzukpOTQ2xsLBkZGaUdihBPFBsbGzw8PNDpdKUdihBCCCHEPSRxuoPRaCQyMhKNRkPVqlXR6XTyDbgQxUxRFHJycrh27RqRkZH4+/s/dAE6IYQQQoiSJonTHXJycjAajXh7e2NjY1Pa4QjxxLC2tsbCwoKLFy+Sk5ODlZVVaYckhBBCCJGHfK2bD/m2W4iSJz93QgghhCjL5JOKEEIIIYQQQjyEJE5CCCGEEEII8RCSOD0hfH19mTVrVmmHUaaoVCrWrFlT4PrDhw+nf//+xRaPEEIIIYQouyRxekIcPHiQ0aNHl3YYReKTTz6hSZMmpR0GQUFBvPnmm6UdhhBCCCGEKAEyq94TokqVKqUdghBCCCGEEOVWqfY47dq1iz59+lC1atUCD5vauXMnzZs3x8rKiurVq/Pdd98Va4yKopCRoy+Vh6IoBY4zKCiIcePGMW7cOJycnKhcuTIffvihuY27h+qpVCq+/fZbevTogbW1NX5+fixfvty8Pycnh3HjxuHh4YGVlRW+vr5MnTq1QLF88sknVKtWDUtLS6pWrcrrr79u3ufr68uUKVN49tlnsbOzo2rVqsydOzfP8dHR0fTr1w87OzscHBwYMmQIV69eBWDhwoVMmjSJo0ePolKpUKlULFy48KExnT17lo4dO2JlZUW9evXYsmXLPXUuX77M0KFDqVSpEpUrV6Zfv35ERUXl297w4cPZuXMns2fPNscRFRWFwWBg5MiR+Pn5YW1tTe3atZk9e3aB3jchhBBCCFF2lWqPU3p6Oo0bN2bEiBEMGjToofUjIyPp2bMno0aN4tdff2Xv3r2MHTuWKlWqFOj4R5GZa6Dex5uKpe2HOTm5Oza6gv8T/fzzz4wcOZL9+/dz6NAhRo8ejY+PD6NGjcq3/kcffcQXX3zB7NmzWbRoEc888wwNGjSgbt26zJkzh99//51ly5ZRrVo1YmJiiImJeWgMK1asYObMmSxdupT69esTFxfH0aNH89T56quv+OCDD/jkk0/YtGkTb731FnXq1KFr164oikL//v2xtbVl586d6PV6xo4dy9ChQwkNDWXo0KEcP36cjRs3snXrVgAcHR0fGJPRaGTgwIG4uLgQFhZGSkrKPUPsMjIyCA4OpkOHDuzatQutVsunn35KSEgIx44dQ6fT5ak/e/Zszpw5Q4MGDZg8eTJg6tUzGo14eXmxbNkyXFxc2LdvH6NHj8bDw4MhQ4Y89P0TQgghhBBlU6kmTj169KBHjx4Frv/dd99RrVo1c89J3bp1OXToEF9//XWxJU7libe3NzNnzkSlUlG7dm0iIiKYOXPmfROnp556ipdeegmAKVOmsGXLFubOncu8efOIjo7G39+f9u3bo1Kp8PHxKVAM0dHRuLu706VLFywsLKhWrRqtWrXKU6ddu3a8//77ANSqVYu9e/cyc+ZMunbtytatWzl27BiRkZF4e3sDsGjRIurXr8/Bgwdp2bIldnZ2aLVa3N3dCxTT1q1bOXXqFFFRUXh5eQHw+eef5/m/t3TpUtRqNT/++CMqlQqAn376CScnJ0JDQ+nWrVueNh0dHdHpdNjY2OSJQ6PRMGnSJPNrPz8/9u3bx7JlyyRxEkIIIYQox8rVPU5//fXXPR9gu3fvzvz588nNzcXCwqLIz2ltoeHk5O5F3m5Bz10Ybdq0MX/oBwgICGD69OkYDIZ86wcEBNzzOjw8HDANRevatSu1a9cmJCSE3r173/Pe5+epp55i1qxZVK9enZCQEHr27EmfPn3Qam//V8vvvLeS4VOnTuHt7W1OmgDq1auHk5MTp06domXLlg+N4W6nTp2iWrVq5qQpvxgOHz7MuXPnsLe3z1OelZXF+fPnC3W+7777jh9//JGLFy+SmZlJTk5OmZjMQgghhCjXFOXmw/iQRz51UPLuQ7ndHko+5Xds5/tsDurefbdive82+b++e1++9fO8IXfVud+xhdx3twfeOvKQ20oedtuJb3uwcX5wnTKkXCVOcXFxuLm55Slzc3NDr9eTkJCAh4fHPcdkZ2eTnZ1tfp2SklKoc6pUqkINlyvvbiVezZo1IzIykg0bNrB161aGDBlCly5dWLFixQOP9/b25vTp02zZsoWtW7cyduxYvvrqK3bu3PnAxPbWeRVFyZP83XK/8oLI716xu9syGo00b96cxYsX31O3MBNrLFu2jLfeeovp06cTEBCAvb09X331Ffv37y984EIIIURRUBQw5EBupumhz4TcrNvPhmww5Jrq6O/YzvO4z36jAYy5YNTffBhM++98fff+O7cV4+1nxXBz2wDGO1/f3FaMpf1OiqL20jZJnIrT3R94b30ovt+H6qlTp+YZOlWRhYWF3fPa398fjSb/nquwsDCGDRuW53XTpk3Nrx0cHBg6dChDhw5l8ODBhISEcOPGDZydH/wf3Nramr59+9K3b19effVV6tSpQ0REBM2aNbtvnHXq1AFMvUvR0dHExMSYe51OnjxJcnIydevWBUCn0923Fy0/t9q8cuUKVatWBUy9l3dq1qwZv/32G66urjg4OBSo3fzi2L17N23btmXs2LHmssL2WAkhhHiC6XMgJw2yU02PnDTIToOcVNOzueyOfbe2czNBn5X/88N6Bioildr0QAUq1b2vuVVG3jp59t8q495yVHmPNT/fVQb5bJP/67v35dm8u/5Dyswv8/uMnE/ZI9d7yBfbD/riW2f74GPLmHKVOLm7uxMXF5enLD4+Hq1WS+XKlfM9ZuLEiYwfP978OiUlJc8wsIokJiaG8ePHM2bMGI4cOcLcuXOZPn36fesvX76cFi1a0L59exYvXsyBAweYP38+ADNnzsTDw4MmTZqgVqtZvnw57u7uODk5PTCGhQsXYjAYaN26NTY2NixatAhra+s890jt3buXL7/8kv79+7NlyxaWL1/On3/+CUCXLl1o1KgRzz33HLNmzTJPDhEYGEiLFi0A08x8kZGRhIeH4+Xlhb29PZaWlveNqUuXLtSuXZthw4Yxffp0UlJS+Ne//pWnznPPPcdXX31Fv379mDx5Ml5eXkRHR7Nq1SrefffdPMP8bvH19WX//v1ERUVhZ2eHs7MzNWvW5JdffmHTpk34+fmxaNEiDh48iJ+f3wPfNyGEEBWM0QhZSZCZCBk3IPPGvc959iWannMzijculRq01mBhdftZYwlanelZYwEa3c2HBWgtb2+by289tKC2ALXW9NBob2/n97i1X6W5Waa5ua2++ay54/lmkpOn7Ga5Wn17/30fjzZKRYgHKVeJU0BAAH/88Ueess2bN9OiRYv7DgOztLR84IfqimTYsGFkZmbSqlUrNBoNr7322gMXvZ00aRJLly5l7NixuLu7s3jxYurVqweAnZ0d06ZN4+zZs2g0Glq2bMn69etRqx88g72TkxNffPEF48ePx2Aw0LBhQ/744488ie3bb7/N4cOHmTRpEvb29kyfPp3u3U33kd2alv61116jY8eOqNVqQkJC8kxZPmjQIFatWkVwcDBJSUn89NNPDB8+/L4xqdVqVq9ezciRI2nVqhW+vr7MmTOHkJAQcx0bGxt27drFe++9x8CBA0lNTcXT05POnTvftwfqnXfe4YUXXqBevXpkZmYSGRnJyy+/THh4OEOHDkWlUvHMM88wduxYNmzY8MD3TQghRDmhKKaEJzUWUmIh9Ur+zxnXeaxeHq01WNqBzu7msz1Y2t9RZn97361tC2vT4+7E6M5njYUkFUI8IpVSmMWCilhaWhrnzp0DoGnTpsyYMYPg4GCcnZ2pVq0aEydO5PLly/zyyy+AaTryBg0aMGbMGEaNGsVff/3Fyy+/zJIlSwo8q15KSgqOjo4kJyff84E4KyuLyMhI/Pz8sLKyKtqLLWZBQUE0adIkz1pND6JSqVi9ejX9+/cv1rju5uvry5tvvnnPdOBClOefPyFEBWLIhcSLcP0c3LgAKZfzJkmpcabhbwWlswebSmDtbLqXw/rO7Tufb5ZbO5mO0ZSr77aFKLcelBvcrVR/Kg8dOkRwcLD59a0hdS+88AILFy4kNjaW6Oho834/Pz/Wr1/PW2+9xX/+8x+qVq3KnDlzZCpyIYQQQhScopiSoevnbj7O395OjDJNXPAw1s7gUBXsPcDBA+yr5n22dTUlSVrdw9sSQpQLpZo4BQUF5Tvj2S0LFy68pywwMJAjR44UY1TiQRYvXsyYMWPy3efj48OJEydKOKKyGZMQQogywJAL8Sch/tQdSdLNROlB9xJZ2IBzDahcHRy9TcmRvfvtRMnewzT0TQjxRJF+4AoiNDS0UPUfdYRm3759ad26db77CrKOVlRU1COd90EeNyYhhBAVgNEIN87D5SNw5YjpOe7Y/YfVqTRQyRcq17z5qHF7297DNAGBEELcQRInUSj29vb3LBJb2spiTEIIIYqRokDKFbh8+HaSdCUcspPvrWvpCO4NwaXmHUmSP1TyMU2UIIQQBSSJkxBCCCHKttwsiN4Hlw7d7lFKu3pvPa0VuDcCz2ZQtZnp2bmG9B4JIYqEJE5CCCGEKHtuRMK5rXB2C0TuAn1m3v0qDbjWA8+mt5Mk13rSiySEKDaSOAkhhBCi9Omz4eJeOLsVzm6G62fz7revCr7tbidJ7o1AZ1M6sQohnkiSOAkhhBCidCRFm3qUbvUq5abf3qfSQLUA8O8C/t1MvUmycKsQohRJ4iSEEEKIkmHQ3+xV2mwahnftn7z77dxvJ0rVg8DKsVTCFKI8uDVD8p0TJd89Z3J+syjnN69yfpMtK/nUfMRJme9Lp1GjVpefL0QkcXpC+Pr68uabb/Lmm28W+7ni4uJ4/vnn2bdvHxYWFiQlJT12m48bv0qlYvXq1fTv379A9YcPH05SUhJr1qx5pPMJIYS4w40LcGQRhP8P0uJul6s04N0K/LtCza6m2e+kV6lEKYpCrkEh12Ak12Akx2Ak16Cgv/Vaf+++XP3t1wajgt6omJ/1d5cZFAxGY546pmcjBiMYjQpGRcGgKBiNCgYFjLe2b+0zKhhvlSsKRqNpW7mzTDElBMoD6igAN1+b6pqSA6Px9nuhcPu4W3XgztfKHeW3X3PH/psvb9e5efyt8js3biUnt9qHvMnO7bIi+Mcug1aPbUvTapVKO4wCk8TpCXHw4EFsbW1L5FwzZ84kNjaW8PBwHB0rxreFQUFBNGnShFmzZpV2KEIIUT7kZsE/6+DwQojafbvcpjL4dzclSzWCwbr8fGgqDbkGIxnZBtJy9KRn33oYSLu5nZGjJy3bQEaOnswcA1l6A9m5RrL0RrJyDWTlGsjWG8nONZCVa7xj/+19FfVDuRBFTRKnJ0SVKlVK7Fznz5+nefPm+Pv7l9g5hRBClBFXT8CRX+DoUshKulmogppdoNkwqBUCWl1pRliiFEUhK9dIYkYOSRm5JGXmkJyRS+Id20kZuab9mbmkZOaSnnM7OcrRG0s8Zp1WjU6jxkKjwkKjxkKjRqe967VGjVajQqtRo1Wr0KhVeZ7vLTfV16hVaFQ3n28+VCrMZWrzM6hv1lWby0GtUt3xMI0oUakwv1bneZ23jgpTmypudWzesf9mmfpmj6epviqfstvH3uocNZXdbsO0lbfzVHXzPLfq37n/zvrmQ+489o4Xedq8499MdceOvOV5/21V3KeBfOrmPe4B+x7SS/ygvVYWmgceW9ZI4vQwigK5GaVzbgubAg9ZCAoKokGDBgD8+uuvaDQaXnnlFaZMmYJKpbpnqJtKpWLevHn8/vvvhIaG4u7uzpdffslTTz0FQE5ODuPHj2flypUkJibi7u7OmDFjmDhx4gPj8PX15eLFiwD88ssvvPDCC0RERPDss8/y9ttvA9C/f3/WrVvHjRs3cHBwIC4uDg8PD/755x9q165NfHw8I0eOZOvWrbi7u/Ppp58W6m07e/YsI0eO5MCBA1SvXp3Zs2ffU+fy5cuMHz+ezZs3o1arad++PbNnz8bX1/eeusOHD2fnzp3s3LnT3FZkZCTe3t6MHj2a7du3ExcXR7Vq1Rg7dixvvPFGoeIVQohyLzsVjq+CIz+bFqW9xdEbmv4fNHkOnLxLL75ikJVr4GpKFldTsm8+ZxGfenv7RvqtRCm3SJIfnVaNrU6DraUWO0stNnm2tdhaarC20GBpocHKQo2VVoPlzWerW2UWGiy1avNry5t1LDUac2JkSmRkuKQQ+ZHE6WFyM+DzqqVz7g+ugK7gw+t+/vlnRo4cyf79+zl06BCjR4/Gx8eHUaNG5Vv/o48+4osvvmD27NksWrSIZ555hgYNGlC3bl3mzJnD77//zrJly6hWrRoxMTHExMQ8NIaDBw8ybNgwHBwcmD17NtbW1kyePJnQ0FDefvttFEVh9+7dVKpUiT179tCzZ0927NiBu7s7tWvXBkyJSkxMDNu3b0en0/H6668THx9foPfAaDQycOBAXFxcCAsLIyUl5Z77ojIyMggODqZDhw7s2rULrVbLp59+SkhICMeOHUOny/tN6OzZszlz5gwNGjRg8uTJgKkHz2g04uXlxbJly3BxcWHfvn2MHj0aDw8PhgwZUqB4hRCi3FIU04K0R342JU23ZsRTa6FOL1PvUvVgUJevb5QBMnL0RCVkEH0jw5wIXU3JJj7VtB2XnEVKlr5QbWrVKpxsdDjZWOBkbZFnu5KtDkdrC5xsLHC0tjAnRLaWWmx1Gmx0WnRaWcRXiNImiVMF4u3tzcyZM1GpVNSuXZuIiAhmzpx538Tpqaee4qWXXgJgypQpbNmyhblz5zJv3jyio6Px9/enffv2qFQqfHx8ChRDlSpVsLS0xNraGnd3d8DUGzZ//nyMRiMRERFoNBr+7//+j9DQUHr27EloaCiBgYEAnDlzhg0bNhAWFkbr1q0BmD9/PnXr1i3Q+bdu3cqpU6eIiorCy8sLgM8//5wePXqY6yxduhS1Ws2PP/5o/lbtp59+wsnJidDQULp165anTUdHR3Q6HTY2NuZrAtBoNEyaNMn82s/Pj3379rFs2TJJnIQQFZc+2zQU79ACiD95u7yyvylZavwM2JXc8PBHlZljIOp6OlEJ6URdzyAqIZ3I6+lcvJ7O1ZTsArVhZaHGzcEKN3srXB0sTdsOlrjaW+FiZ2lKjGxMSZKtTiM9OUKUc5I4PYyFjannp7TOXQht2rTJ80s5ICCA6dOnYzAY8q0fEBBwz+vw8HDA1OvTtWtXateuTUhICL17974noSiojh07kpqayt9//83evXsJDAwkODjYPAQvNDTU3Ct06tQptFotLVq0MB9fp04dnJycCnSuU6dOUa1aNXPSlN91Hj58mHPnzmFvb5+nPCsri/Pnzxfq2r777jt+/PFHLl68SGZmJjk5OTRp0qRQbQghRLlg0MOxpRD6BSTfHIGgtYb6/U0JU7WAMjcjntGoEHU9nTNX08xJUmRCOhevZxCXkvXAYyvZWOBT2RYPRyvcHG4mRvZWt5MjByscrLSSDAnxBJHE6WFUqkINlyvvbv0BaNasGZGRkWzYsIGtW7cyZMgQunTpwooVKwrdpqOjI02aNCE0NJR9+/bRqVMnOnToQHh4OGfPnuXMmTMEBQUBt6fgfNQ/RPmtV3B3W0ajkebNm7N48eJ76hZmEo1ly5bx1ltvMX36dAICArC3t+err75i//79hQ9cCCHKKkWBU7/D9k8h4YypzN4D2r8FjYaCtVOphneL0ahw8UYGEZeTibiURMTlZE5cTiE1+/5D6hytLfB1scWvsg2+Lrb4Vra9+doWRxuLEoxeCFEeSOJUgYSFhd3z2t/fH40m//HlYWFhDBs2LM/rpk2bml87ODgwdOhQhg4dyuDBgwkJCeHGjRs4OzsXOragoCB27NjB/v37mTx5Mk5OTtSrV49PP/0UV1dX81C8unXrotfrOXToEK1atQLg9OnTBV4Lql69ekRHR3PlyhWqVjXdm/bXX3/lqdOsWTN+++03XF1dcXBwKFC7Op3unp673bt307ZtW8aOHWsuK2yPlRBClFmKAue3w7bJEBtuKrOuBO3HQ6tRYGFdiqEpXLx+M0m6nEzEpWSOX07ON0my1Kqp5WaPn8vNpMjFBt/Ktvi52OJk8+TM7ieEeHySOFUgMTExjB8/njFjxnDkyBHmzp3L9OnT71t/+fLltGjRgvbt27N48WIOHDjA/PnzAdNaTB4eHjRp0gS1Ws3y5ctxd3cv8JC5uwUFBTF79mycnZ2pV6+euWzu3LkMHDjQXO/W0MBRo0bx3//+F61Wy5tvvom1dcH+QHfp0oXatWszbNgwpk+fTkpKCv/617/y1Hnuuef46quv6NevH5MnT8bLy4vo6GhWrVrFu+++m2eY3y2+vr7s37+fqKgo7OzscHZ2pmbNmvzyyy9s2rQJPz8/Fi1axMGDB/Hz83uk90gIIcqMmAOwdRJc3GN6rbODgFdND6uSX58vKSOHv85fJ/xSkjlJym9yBp1WTT0PBxp6OpoeXo7UdLXDQiMTKwghHp8kThXIsGHDyMzMpFWrVmg0Gl577TVGjx593/qTJk1i6dKljB07Fnd3dxYvXmxOauzs7Jg2bRpnz55Fo9HQsmVL1q9fj1r9aH98OnbsCEBgYKB56FxgYCCzZs0yTwxxy08//cRLL71EYGAgbm5ufPrpp3z00UcFOo9arWb16tWMHDmSVq1a4evry5w5cwgJCTHXsbGxYdeuXbz33nsMHDiQ1NRUPD096dy58317oN555x1eeOEF6tWrR2ZmJpGRkbz88suEh4czdOhQVCoVzzzzDGPHjmXDhg2P8hYJIUTpiztuGpJ35ubvMY0ltHwJOowHW5cSC0NvMHL0UhI7zySw68w1jl1KwnjXSGydVk1dd3saet1Mkjyd8HeTJEkIUXxUSn43hVRgKSkpODo6kpycfM+H5KysLCIjI/Hz88PKyqqUInw0QUFBNGnShFmzZhWovkqlYvXq1fTv379Y4xKioMrzz58Q5d6NC7Djc4hYASig0kDT5yDwPXC8txe+OFxOymTXmWvsOnONvecS7ulRquVmR0tfZ3NPUi03e0mShBCP7UG5wd2kx0kIIYR4UqVcgZ1fwt+LwHgzUak/AIL/BS7+xXrqzBwDYZHXzcnS+WvpefY7WlvQ3t+FQP8qdKjlgodj6d1TJYQQIImTKKTFixczZsyYfPf5+Phw4sSJCn1+IYSoEIxGCJsH26eA/ua03DW7QuePwKNxsZ025kYGG4/HsevsNfZH3iBHbzTvU6ugabVKdPSvQsdaLjTyckKjlqm+hRBlhyROFURoaGih6j/qCM2+ffuaF6a9m4VF8U/dWtrnF0KIci8pBta8AlG7Ta+920CXf4NP22I5XUaOng0Rcaw4fIm/LlzPs8/TyZqOtVzo6F+FtjVdcLSW3+NCiLJLEidRKPb29vcsHPsknV8IIcotRYFjy2D9O5CdAha20P0zaD68yBeuVRSFwxcTWX7oEn9GxJJ2c5pwlQoCqlemS103OtaqQo0qtrKArBCi3JDESQghhKjoMm7Aujfh5FrTa6+WMOB7qFyjSE8Tm5zJqiOXWXH4EpEJt+9ZquZsw+DmXgxq7oWnk9yrJIQonyRxEkIIISqys1th7auQFgdqLQS9D+3eAk3RfATIyjWw5eRVlh++xJ6z18zThtvoNPRs6MFTzb1o5ecsPUtCiHJPEichhBCiIspJhy0fw8EfTa9dasHA/0LVpo/dtKIoHLuUzPLDMfwefiXP1OGtfJ0Z3MKLXg09sLWUjxlCiIpDfqMJIYQQFc2lw7B6NFw/Z3rd+mXo8glYPN4wOUVR2HLyKrO3neXElRRzeVVHKwY192JQMy98XWwf6xxCCFFWSeIkhBBCVBSGXNj1Nez6ChQD2FeF/v+BGp0eq1lFUdhxOp4ZW85w/LIpYbLUqule352nWnjRtoaLTB0uhKjwZMltUaEFBQXx5ptvFrj+woULcXJyKrZ4nhR3v4/yvgpRAhLOwvxusPMLU9LUYBCM3fdYSZOiKOw8c43+8/bx4sJDHL+cgo1Ow6vBNQib2Jk5zzSlg38VSZqEEE8ESZwEoaGhqFQqkpKSSjsUs7IS0yeffEKTJk1KNYaKYOjQoZw5c6a0wxCiYlIUOPADfNcBrhwBK0cYNB8GLwDrSo/YpMLecwkM/u4vXlhwgKMxSVhbaBgTWJ3dE4J5t3sdKtnqivhChBCibJOhekKUA7m5ueV6gV9ra2usrWUKYiGKXG4mrHwJ/llneu0XCP2/BUfPR24y7MJ1Zmw5w4HIG4BpSN7zbXwYE1iDKvaWRRG1EEKUS9LjVEEEBQUxbtw4xo0bh5OTE5UrV+bDDz9EUUzzwmZnZzNhwgS8vb2xtLTE39+f+fPnExUVRXBwMACVKlVCpVIxfPjwh55vxYoVNGzYEGtraypXrkyXLl1ITzet2TF8+HD69+/PpEmTcHV1xcHBgTFjxpCTk2M+Pjs7m9dffx1XV1esrKxo3749Bw8eBHjkmNLT0xk2bBh2dnZ4eHgwffr0e+rk5OQwYcIEPD09sbW1pXXr1oSGhubb3sKFC5k0aRJHjx5FpVKhUqlYuHAhADNmzKBhw4bY2tri7e3N2LFjSUtLe2iMt9p1cnJizZo11KpVCysrK7p27UpMTIy5zq2ergULFlC9enUsLS1RFIXk5GRGjx5tfl87derE0aNH8z2uWrVq2NnZ8corr2AwGPjyyy9xd3fH1dWVzz77rECxFvRaFy5cSLVq1bCxsWHAgAFcv34932sWQhShjBvwSz9T0qSxhJBp8PyaR06aDkXd4Nkfwnj6v2EciLyBTqNmeFtfdk8I5sPe9SRpEkI88aTH6SEURSFTn1kq57bWWhdq3Yuff/6ZkSNHsn//fg4dOsTo0aPx8fFh1KhRDBs2jL/++os5c+bQuHFjIiMjSUhIwNvbm5UrVzJo0CBOnz6Ng4PDQ3sGYmNjeeaZZ/jyyy8ZMGAAqamp7N6925ykAWzbtg0rKyt27NhBVFQUI0aMwMXFxfyBfcKECaxcuZKff/4ZHx8fvvzyS7p37865c+ceKSaAd999lx07drB69Wrc3d354IMPOHz4cJ6hdiNGjCAqKoqlS5dStWpVVq9eTUhICBEREfj7++dpb+jQoRw/fpyNGzeydetWABwdHQFQq9XMmTMHX19fIiMjGTt2LBMmTGDevHkF+rfKyMjgs88+4+eff0an0zF27Fiefvpp9u7da65z7tw5li1bxsqVK9FoNAD06tULZ2dn1q9fj6OjI99//z2dO3fmzJkzODs7A3D+/Hk2bNjAxo0bOX/+PIMHDyYyMpJatWqxc+dO9u3bx4svvkjnzp1p06bNQ2N92LXu37+fF198kc8//5yBAweyceNG/v3vfxfofRBCPKLkS/DrILj2j2lo3jNLwaftIzX1d3QiM7eeZdeZawBYaFQ83bIaY4Nr4OEoPcVCCHGLJE4PkanPpPX/WpfKufc/ux8bC5sC1/f29mbmzJmoVCpq165NREQEM2fOJDAwkGXLlrFlyxa6dOkCQPXq1c3H3frA7erqWqBegdjYWPR6PQMHDsTHxweAhg0b5qmj0+lYsGABNjY21K9fn8mTJ/Puu+8yZcoUMjMz+fbbb1m4cCE9evQA4IcffmDLli3Mnz+fd999t9AxpaWlMX/+fH755Re6du0KmBJJLy8vc53z58+zZMkSLl26RNWqVQF455132LhxIz/99BOff/55njatra2xs7NDq9Xi7u6eZ9+dE074+fkxZcoUXnnllQInTrm5uXzzzTe0bt3aHGvdunU5cOAArVq1Aky9Y4sWLaJKlSoAbN++nYiICOLj47G0NH3z+/XXX7NmzRpWrFjB6NGjATAajSxYsAB7e3vq1atHcHAwp0+fZv369ajVamrXrs20adMIDQ0tUOL0sGudPXs23bt35/333wegVq1a7Nu3j40bNxbovRBCFFL8KVPSlHLZNGve/60Et3qFbiYyIZ0p606y/Z94ALRqFU+18ObV4Bp4VSr43x4hhHhSSOJUgbRp0yZPD1VAQADTp0/n77//RqPREBgYWCTnady4MZ07d6Zhw4Z0796dbt26MXjwYCpVqpSnjo3N7T+8AQEBpKWlERMTQ3JyMrm5ubRr186838LCglatWnHq1KlHiun8+fPk5OQQEBBgLnN2dqZ27drm10eOHEFRFGrVqpXn2OzsbCpXrlyo8+3YsYPPP/+ckydPkpKSgl6vJysri/T0dGxtH76GiVarpUWLFubXderUwcnJiVOnTpkTJx8fH3PSBHD48GHS0tLuiTUzM5Pz58+bX/v6+mJvb29+7ebmhkajQa1W5ymLj48vkms9deoUAwYMyHNMQECAJE5CFIfoMPjfEMhKBpfapqTJybtQTRiNCgv3RfHlpn/IyjWiUasY1MyT1zr54+0sCZMQQtyPJE4PYa21Zv+z+0vt3EXBysqqSNq5RaPRsGXLFvbt28fmzZuZO3cu//rXv9i/fz9+fn4PPFalUpmH9N09DFFRlEINTbz72IcxGo1oNBoOHz5sHvp2i52dXYHPdfHiRXr27MnLL7/MlClTcHZ2Zs+ePYwcOZLc3NwCt5Pftd5ZdncCZjQa8fDwyPeerDt75e6eREKlUuVbZjQaHxpjQa61IO+9EKII/PMnrHgR9Fng1Qqe/Q1snAvVxMXr6by74ph54od2NSvzaf+G+MmitUII8VCSOD2ESqUq1HC50hQWFnbPa39/fxo3bozRaGTnzp3moXp30ulMU8oaDIYCn0ulUtGuXTvatWvHxx9/jI+PD6tXr2b8+PEAHD16lMzMTPO9SWFhYdjZ2eHl5UXlypXR6XTs2bOHZ599FjANXTt06JB5WFhhY6pZsyYWFhaEhYVRrVo1ABITEzlz5oy5p61p06YYDAbi4+Pp0KFDgdrV6XT3xHDo0CH0ej3Tp0839+IsW7asQO3dotfrOXTokLl36fTp0yQlJVGnTp37HtOsWTPi4uLQarX4+voW6nyPqiDXWq9evXz/7wkhitDhhbDuLVCMUKuHaapxXcH/NhmNCr/uv8jU9f+QmWvARqfhg551ea51tUf+wkoIIZ40MqteBRITE8P48eM5ffo0S5YsYe7cubzxxhv4+vrywgsv8OKLL7JmzRoiIyMJDQ01fwD28fFBpVKxbt06rl279tDZ4fbv38/nn3/OoUOHiI6OZtWqVVy7do26deua6+Tk5DBy5EhOnjzJhg0b+Pe//824ceNQq9XY2tryyiuv8O6777Jx40ZOnjzJqFGjyMjIYOTIkY8Uk52dHSNHjuTdd99l27ZtHD9+nOHDh+cZnlarVi2ee+45hg0bxqpVq4iMjOTgwYNMmzaN9evX59vurQkRwsPDSUhIIDs7mxo1aqDX65k7dy4XLlxg0aJFfPfddwX6N7rFwsKC1157jf3793PkyBFGjBhBmzZtzIlUfrp06UJAQAD9+/dn06ZNREVFsW/fPj788EMOHTpUqPMXVEGu9fXXX2fjxo18+eWXnDlzhm+++UaG6QlRVBQFQqfBH2+Ykqamz8PQXwuVNMXcyOC5H/fz8doTZOYaaFPdmU1vduT/2vhI0iSEEIUgiVMFMmzYMDIzM2nVqhWvvvoqr732mnnCgG+//ZbBgwczduxY6tSpw6hRo8zTh3t6ejJp0iTef/993NzcGDdu3APP4+DgwK5du+jZsye1atXiww8/ZPr06eaJHgA6d+6Mv78/HTt2ZMiQIfTp04dPPvnEvP+LL75g0KBBPP/88zRr1oxz586xadMm831ShY0J4KuvvqJjx4707duXLl260L59e5o3b56nzk8//cSwYcN4++23qV27Nn379mX//v14e+d/j8CgQYMICQkhODiYKlWqsGTJEpo0acKMGTOYNm0aDRo0YPHixUydOvWh8d3JxsaG9957j2effZaAgACsra1ZunTpA49RqVSsX7+ejh078uKLL1KrVi2efvppoqKicHNzK9T5C6og19qmTRt+/PFH5s6dS5MmTdi8eTMffvhhscQjxBPFaDD1MoXenLim47vQdy5oCjZYRFEUfg27SMisXfx14TrWFhom9a3P/15qI/cyCSHEI1ApT9gNCikpKTg6OpKcnIyDg0OefVlZWURGRuLn51fk9wUVt6CgIJo0acKsWbNKOxSGDx9OUlISa9asKe1QyqSFCxfy5ptvkpSUVNqhlJjvv/+eKVOmcOnSpfvWKc8/f0IUuTwL26qg51fQalSBD7+UmMH7KyPYcy4BgFa+znz1VCN8Ksu9TEIIcacH5QZ3k3uchBDFKiYmhvXr11O/fv3SDkWI8iEzEZY8C9H7QKODQT9CvX4FOlRRFJYejOGzP0+Rlq3HykLNhO51GN7WF7VahuUJIcTjkMRJ3CM6Opp69e6/JsjJkyfNEzCUlLIY0/306NGD3bt357vvgw8+MK8hVRYsXryYMWPG5LvPx8eHEydOPPY5mjVrhqenJwsXLnzstoSo8JIvw+LBEH8SLB3hmf+Bb/sCHXolKZP3V0WYF7Jt7lOJr59qLDPmCSFEEZGheneQoUImer2eqKio++739fVFqy3ZnLssxnQ/ly9fJjMzM999zs7O5sV9y4LU1FSuXr2a7z4LCwvzAsclQX7+xBPv2mlYNBBSLoG9x82FbR/eU6soCssPX2LKHydJzdaj06qZ0L02I9r5oZFeJiGEeCAZqicei1arpWbNmqUdRh5lMab78fT0LO0QCsze3j7PYrlCiFIS/w/8FGIaplfZH55fBU4P70XPzDEwflk4G47HAdDE24mvn2pMTdeCr00nhBCiYCRxEkIIIUpTahwsfsqUNFVtBs+tANvKDz0sIS2bl34+RHhMEjqNmvHdajGqQ3XpZRJCiGIiiZMQQghRWrLT4H9DIDkanGuYhufZPHw47/lraYz46SDRNzJwsrHgh2EtaOlbdoYBCyFERSSJkxBCCFEaDHpYMQJij4KNC/zfigIlTQcibzB60SGSMnKp5mzDTyNaUqOKDM0TQojiJomTEEIIUdIUBTa8C2c3g9Yanv0NnKs/9LA/jl7h7WVHyTEYaeLtxI8vtMDFzrIEAhZCCCGJkxBCCFHS9s6CQwsAlWmdJq8WD6yuKArf7bzAtI3/ANC9vhuzhjbFWqcp/liFEEIAoC7tAET5pCgKo0ePxtnZGZVKRXh4+GO3OXz4cPr37//IxwcFBfHmm28WuP7ChQtxcnJ65PMJk7vfR3lfhXiIiBWw9RPTdsgXULf3A6vrDUY+WH3cnDSNbO/HvOeaS9IkhBAlTBInQWhoKCqViqSkpAIfs3HjRhYuXMi6deuIjY2lQYMGxRdgCfnkk09o0qRJaYdR7g0dOpQzZ86UdhhClE1Re2HNK6btNq9Cm5cfWD0tW8/Inw+x5EA0KhV80qceH/WuJzPnCSFEKZCheuKRnD9/Hg8PD9q2bVvaoVQ4ubm5WFhYlHYYj8za2hpra+vSDkOIsufaaVj6DBhyoG5f6PbpA6tfTclixE8HORmbgpWFmjlPN6VbffcSClYIIcTdpMepgggKCmLcuHGMGzcOJycnKleuzIcffoiiKABkZ2czYcIEvL29sbS0xN/fn/nz5xMVFUVwcDAAlSpVQqVSMXz48Aeea/jw4bz22mtER0ejUqnw9fXl7bffpk+fPuY6s2bNQqVS8eeff5rLateuzffffw+AwWBg/Pjx5lgnTJhgjrUg0tPTGTZsGHZ2dnh4eDB9+vR76uTk5DBhwgQ8PT2xtbWldevWhIaG5tvewoULmTRpEkePHkWlUqFSqVi4cCEAM2bMoGHDhtja2uLt7c3YsWNJS0srUJy3hq2tWbOGWrVqYWVlRdeuXYmJiTHXudXTtWDBAqpXr46lpSWKopCcnMzo0aNxdXXFwcGBTp06cfTo0XyPq1atGnZ2drzyyisYDAa+/PJL3N3dcXV15bPPPivw+1qQa124cCHVqlXDxsaGAQMGcP369XyvWQhxh7R4WDwYspLBqxUM/C+o7/8n+J+4FPr/Zy8nY1NwsdOxdHSAJE1CCFHKJHF6CEVRMGZklMqjMIkEwM8//4xWq2X//v3MmTOHmTNn8uOPPwIwbNgwli5dypw5czh16hTfffcddnZ2eHt7s3LlSgBOnz5NbGwss2fPfuB5Zs+ezeTJk/Hy8iI2NpaDBw8SFBTE7t27MRqNAOzcuRMXFxd27twJQFxcHGfOnCEwMBCA6dOns2DBAubPn8+ePXu4ceMGq1evLvC1vvvuu+zYsYPVq1ezefNmQkNDOXz4cJ46I0aMYO/evSxdupRjx47x1FNPERISwtmzZ+9pb+jQobz99tvUr1+f2NhYYmNjGTp0KABqtZo5c+Zw/Phxfv75Z7Zv386ECRMKHGtGRgafffYZP//8M3v37iUlJYWnn346T51z586xbNkyVq5cab5frFevXsTFxbF+/XoOHz5Ms2bN6Ny5Mzdu3DAfd/78eTZs2MDGjRtZsmQJCxYsoFevXly6dImdO3cybdo0PvzwQ8LCwgoU68Oudf/+/bz44ouMHTuW8PBwgoOD+fTTB39rLsQTLyfdtFZTUrRp5rxnloDF/Xtl95xN4Klv/yI2OYsaVWxZPbYdTbydSi5eIYQQ+ZKheg+hZGZyulnzUjl37SOHUdnYFLi+t7c3M2fORKVSUbt2bSIiIpg5cyaBgYEsW7aMLVu20KVLFwCqV7897a2zs2ndEFdX1wL1FDg6OmJvb49Go8Hd3fQNaMeOHUlNTeXvv/+mWbNm7N69m3feeYdVq1YBsGPHDtzc3KhTpw5g6pGaOHEigwYNAuC7775j06ZNBbrOtLQ05s+fzy+//ELXrl0BU9Lo5eVlrnP+/HmWLFnCpUuXqFq1KgDvvPMOGzdu5KeffuLzzz/P06a1tTV2dnZotVrzNd1y54QTfn5+TJkyhVdeeYV58+YVKN7c3Fy++eYbWrdubY61bt26HDhwgFatWgGm3rFFixZRpUoVALZv305ERATx8fFYWpqmGv76669Zs2YNK1asYPTo0QAYjUYWLFiAvb099erVIzg4mNOnT7N+/XrUajW1a9dm2rRphIaG0qZNm4fG+rBrnT17Nt27d+f9998HoFatWuzbt4+NGzcW6L0Q4olj0MOKF+HK32BTGZ5bAbYu962+/FAME1dFoDcqtPZz5r/Pt8DRpvwO3RVCiIpEepwqkDZt2qBS3b5hOCAggLNnz/L333+j0WjMvT3FwdHRkSZNmhAaGkpERARqtZoxY8Zw9OhRUlNTCQ0NNZ8/OTmZ2NhYAgICzMdrtVpatHjwdLy3nD9/npycnDzHOzs7U7t2bfPrI0eOoCgKtWrVws7OzvzYuXMn58+fL9S17dixg65du+Lp6Ym9vT3Dhg3j+vXrpKenF+j4u6+tTp06ODk5cerUKXOZj4+POWkCOHz4MGlpaVSuXDlP/JGRkXni9/X1xd7e3vzazc2NevXqob5jCJCbmxvx8fFFcq2nTp3K874D97wWQtykKLDxPTizEbRW8MxSqFzjPlUVZm45w7srjqE3KvRrUpVfRraSpEkIIcoQ6XF6CJW1NbWPHH54xWI6d1GwsrIqknYeJigoiNDQUHQ6HYGBgVSqVIn69euzd+9eQkNDCzVV+IMUZAij0WhEo9Fw+PBhNJq8U/ba2dkV+FwXL16kZ8+evPzyy0yZMgVnZ2f27NnDyJEjyc3NLXA7dya0+ZXZ2treE7+Hh0e+92Td2St49yQSKpUq37JbQygfpCDXWtjho0I80fbNhYM/AirTPU3ere5bde72c8zeZhpGPC64Jm93q5Xv7w0hhBClRxKnh1CpVIUaLlea7r6PJSwsDH9/fxo3bozRaGTnzp3moXp30ul0gGnChscRFBTE/Pnz0Wq15vMEBgaydOnSPPc3OTo64uHhQVhYGB07dgRAr9eb7+N5mJo1a2JhYUFYWBjVqlUDIDExMc85mjZtisFgID4+ng4dOhQofp1Od897cOjQIfR6PdOnTzf34ixbtqxA7d2i1+s5dOiQeVje6dOnSUpKMg9bzE+zZs2Ii4tDq9Xi6+tbqPM9qoJca7169fL9fyaEuMvxVbDlI9N298+hXr/7Vl1yIJoZW0xT+P+7Tz1GtPMriQiFEEIUkgzVq0BiYmIYP348p0+fZsmSJcydO5c33ngDX19fXnjhBV588UXWrFlDZGQkoaGh5g/FPj4+qFQq1q1bx7Vr1wo8Y9zdbt3n9McffxAUFASYkqlff/2VKlWqUK9ePXPdN954gy+++ILVq1fzzz//MHbs2AKvI2VnZ8fIkSN599132bZtG8ePH2f48OF5hqfVqlWL5557jmHDhrFq1SoiIyM5ePAg06ZNY/369fm26+vrS2RkJOHh4SQkJJCdnU2NGjXQ6/XMnTuXCxcusGjRIr777rtCvS8WFha89tpr7N+/nyNHjjBixAjatGljTqTy06VLFwICAujfvz+bNm0iKiqKffv28eGHH3Lo0KFCnb+gCnKtr7/+Ohs3buTLL7/kzJkzfPPNN3J/kxB3u7gPVo8xbbd+BQLG3rfqphNx/Gt1BACvdaopSZMQQpRhkjhVIMOGDSMzM5NWrVrx6quv8tprr5knEfj2228ZPHgwY8eOpU6dOowaNcp834qnpyeTJk3i/fffx83NjXHjxj3S+R0dHWnatCnOzs7mJKlDhw4YjcZ77q96++23GTZsGMOHDycgIAB7e3sGDBhQ4HN99dVXdOzYkb59+9KlSxfat29P8+Z5J/H46aefGDZsGG+//Ta1a9emb9++7N+/H29v73zbHDRoECEhIQQHB1OlShWWLFlCkyZNmDFjBtOmTaNBgwYsXryYqVOnFup9sbGx4b333uPZZ58lICAAa2trli5d+sBjVCoV69evp2PHjrz44ovUqlWLp59+mqioKNzc3Ap1/oIqyLW2adOGH3/8kblz59KkSRM2b97Mhx9+WCzxCFEuJZyDJTfXaqrTG7rffzmAA5E3eH3J3xgVeLqlN+O71irBQIUQQhSWSnnCblpISUnB0dGR5ORkHBwc8uzLysoiMjISPz+/ErsvqKgEBQXRpEkTZs2aVdqhiDssXLiQN998s8C9aRXB999/z5QpU7h06VKhjivPP39CAKDPhh86w9UI8GwBL/wBuvyHep+OS+Wp7/aRkqWnS103vvu/Zmg18l2mEEKUtAflBneT39JCiCITExPD+vXrqV+/fmmHIkTJ2/6pKWmyqQxPL75v0nQpMYNhC/aTkqWnpW8lvnm2qSRNQghRDshvanGP6OjoPFNg3/2Ijo6u0OcvjB49etw3zrvXiiptixcvvm+sRZXoNGvWjIsXLzJt2rQiaU+IciNyl2kWPYC+c8HePd9qiek5DFtwgKsp2dRys+PHYS2xstDkW1cIIUTZIkP17iBDhUz0ej1RUVH33e/r64tWW3wTMpb2+Qvj8uXLZGZm5rvP2dnZvLhwWZCamsrVq1fz3WdhYYGPj08JR5SX/PyJciszEb5tBymXodkL0HdOvtUycvQ8+8N+wmOSqOpoxcqxbfFwLJplJ4QQQjyawgzVKxufPkWZotVqqVmz5hN7/sLw9PQs7RAKzN7ePs9iuUKIIqAosG68KWlyrm6aejwfuQYjry4+QnhMEk42FvwyspUkTUIIUc7IUL18PGGdcEKUCfJzJ8qliOVwYhWoNDDwB7C8d4FtRVF4f2UEO05fw8pCzfwXWlLTVb7EEEKI8kYSpztYWFgAkJGRUcqRCPHkufVzd+vnUIgyLyka/nzbtB30Pni1yLfatI2nWXnkEhq1innPNaO5T6USDFIIIURRkaF6d9BoNDg5OREfHw+Y1t9RqVSlHJUQFZuiKGRkZBAfH4+TkxMajdwoL8oBowFWjYHsFPBqBe3H51tt/p5Ivtt5HoCpAxvSqU7xrMMmhBCi+EnidBd3d9NMSLeSJyFEyXBycjL//AlR5u2dDdH7QGcHA78Hzb1/TteGX2bKupMATAipzZAW+S++LYQQonyQxOkuKpUKDw8PXF1dyc3NLe1whHgiWFhYSE+TKD+uhMOOz0zbPaaZJoW4y+6z13hn+VEAhrf15ZXAGiUYoBBCiOIgidN9aDQa+SAnhBAir5wMWDUKjHqo2xeaPHdPlWOXknh50WFyDQq9G3nwce96MuxbCCEqAJkcQgghhCioLR9Bwhmwc4c+s+GuhCgqIZ0RPx0kPcdAu5qVmT6kMWq1JE1CCFERSOIkhBBCFMSZzXDwR9N2/3lgk3eB66xcA68sPsL19BwaeDrw3f81x1IrIxeEEKKiKPXEad68efj5+WFlZUXz5s3ZvXv3A+svXryYxo0bY2Njg4eHByNGjOD69eslFK0QQognUto1WDvWtN36FajZ+Z4qX2z4h1OxKTjb6pj/QkvsrWRqfSGEqEhKNXH67bffePPNN/nXv/7F33//TYcOHejRowfR0dH51t+zZw/Dhg1j5MiRnDhxguXLl3Pw4EFeeumlEo5cCCHEE0NR4I/XIf0aVKkLXT65p8rWk1dZuC8KgOlPNcbNwapkYxRCCFHsSjVxmjFjBiNHjuSll16ibt26zJo1C29vb7799tt864eFheHr68vrr7+On58f7du3Z8yYMRw6dKiEIxdCCPHEOLwQTq8HjQ4G/QAWeZOiuOQs3l1hmkFvZHs/guu4lkKQQgghilupJU45OTkcPnyYbt265Snv1q0b+/bty/eYtm3bcunSJdavX4+iKFy9epUVK1bQq1evkghZCCHEkybhHGz6wLTd+WNwb5hnt8Go8MbSv0nMyKWBpwMTQmqXQpBCCCFKQqklTgkJCRgMBtzc8q6i7ubmRlxcXL7HtG3blsWLFzN06FB0Oh3u7u44OTkxd+7c+54nOzublJSUPA8hhBDioQy5pqnHczPAryO0efWeKvN2nGN/5A1sdBrmPN1UJoMQQogKrNQnh7h7bQtFUe673sXJkyd5/fXX+fjjjzl8+DAbN24kMjKSl19++b7tT506FUdHR/PD21tWbhdCCFEAO7+EK0fAyhH6fwfqvH8yD0XdYNa2swBM6deA6lXsSiNKIYQQJaTUEicXFxc0Gs09vUvx8fH39ELdMnXqVNq1a8e7775Lo0aN6N69O/PmzWPBggXExsbme8zEiRNJTk42P2JiYor8WoQQQlQw0fth99em7d6zwNEzz+7kjFzeWBqOwajQv0lVBjbzvLcNIYQQFUqpJU46nY7mzZuzZcuWPOVbtmyhbdu2+R6TkZGB+q5v/DQa07AIRVHyPcbS0hIHB4c8DyGEEOK+crNg9RhQjNDoaWgwMM9uRVF4f9UxLidl4lPZhk8HNLzvSAkhhBAVR6kO1Rs/fjw//vgjCxYs4NSpU7z11ltER0ebh95NnDiRYcOGmev36dOHVatW8e2333LhwgX27t3L66+/TqtWrahatWppXYYQQoiK5K9vIDES7D2g55f37P7fgWg2HI9Dq1Yx95mm2FlqSyFIIYQQJa1Uf9sPHTqU69evM3nyZGJjY2nQoAHr16/Hx8cHgNjY2DxrOg0fPpzU1FS++eYb3n77bZycnOjUqRPTpk0rrUsQQghRkSRfht3TTdtdJ5vub7rDmaupTP7jJAATQmrTyMuphAMUQghRWlTK/ca4VVApKSk4OjqSnJwsw/aEEELktfIliFgO3q3hxU1wxxC8rFwDfb/Zw5mraXSsVYWFw1uiVssQPSGEKM8KkxuU+qx6QgghRJkQHWZKmlBBj2l5kiaAT/88yZmrabjYWTL9qcaSNAkhxBNGEichhBDCaIANE0zbzZ6Hqk3z7N54PJZfw0xDx2cMaUwVe8uSjlAIIUQpk8RJCCGE+PtXiD0Klo7Q6eM8uy4nZTJhxTEAxgRWp2OtKqURoRBCiFImiZMQQognW2YSbJts2g56D+xuJ0Z6g5E3l/5NSpaexl6OvN21dunEKIQQotRJ4iSEEOLJtvNLyEgAl1rQanSeXXO2n+NgVCJ2llrmPtMMnVb+bAohxJNK/gIIIYR4cl07DQe+N22HTAWNhXlX2IXrfLP9LACfDWhAtco2pRGhEEKIMkISJyGEEE8mRYGN74NRD7V6QM0u5l2J6Tm8uTQcowKDm3vRr4lnKQYqhBCiLJDESQghxJPp9AY4vx00Ouj+mblYURTeX3WMuJQsqrvYMqlv/VIMUgghRFkhiZMQQognjz4bNn1g2g54FSrXMO/acvIqm05cxUKjYs4zTbG11JZSkEIIIcoSSZyEEEI8ef76DyRGgp07dHjbXJyZY2DSHycBGNWhOg08HUsrQiGEEGWMJE5CCCGeLCmxsOtr03bXSWBpb971nx3nuJyUiaeTNeM61SylAIUQQpRFkjgJIYR4smz9BHLTwaslNBxiLr5wLY3/7roAwEe962GjkyF6QgghbpPESQghxJMj5gAcW2ra7jEN1KY/g4qi8O/fT5BjMBJYqwrd67uVYpBCCCHKIkmchBBCPBmMRtgwwbTd5P/As7l518bjcew+m4BOo+aTvvVRqVSlFKQQQoiyShInIYQQT4bwxXDlb9DZQ+ePzcUZOXomrzNNCPFyYHX8XGxLK0IhhBBlmCROQgghKr6sZNg2ybQd9B7Y3x6KN2fbOWKTs/CqZM0rQTIhhBBCiPxJ4iSEEKLi2/klpF+Dyv7Qaoy5+Fx8Kj/uNk0I8Umf+ljrNKUVoRBCiDJOEichhBAVW8JZ2P+daTtkKmh1wO0JIfRGhc51XOlSTyaEEEIIcX+SOAkhhKjYNk4Eox78u4N/V3PxumOx7D13HUutmn/3qV+KAQohhCgPJHESQghRcZ3ZBOe2gNrC1Nt0U1q2nk//NE0IMTaoJtUq25RWhEIIIcoJSZyEEEJUTPpsU28TQJtXoHIN867ZW89wNSUbn8o2jAmsXkoBCiGEKE8kcRJCCFExHf4ZbpwHW1fo+K65+HRcKgv2RgHwSd/6WFnIhBBCCCEeThInIYQQFY8+G/bMNG0HTgArB8A0IcTHa49jMCp0q+dGcG3XUgxSCCFEeSKJkxBCiIrnyC+QegUcPKHZMHPx2vAr7I+8gZWFmo/71CvFAIUQQpQ3kjgJIYSoWO7sbWr/FmgtAUjJyuWz9acAeK2TP16VZEIIIYQQBSeJkxBCiIrl70WQchnsPaDp8+bimVvOcC01m+outrzUwa8UAxRCCFEeSeIkhBCi4tBnw+47epssrAA4eSWFn/dFAaYJISy1MiGEEEKIwpHESQghRMURvhhSLoGdOzR7Abg9IYRRgZ4N3elYq0opBymEEKI8ksRJCCFExaDPgd0zTNt39DatPHKZQxcTsdFp+LCXTAghhBDi0UjiJIQQomI4+j9IjgE7N2hu6m1Kzsxl6s0JIV7v7E9VJ+vSjFAIIUQ5JomTEEKI8k+fA7unm7bbvQkWpgRpxubTXE/PoaarHS+2kwkhhBBCPDpJnIQQQpR/R5dAUjTYukKLEYBpQohFYRcBmNy3Pjqt/MkTQgjx6OSviBBCiPLNkAu7vzZtt3vjdm/TltMYFejV0IO2NV1KMUAhhBAVgSROQgghyrejS2/2NlWBFi8C8Hd0IltPxaNWwdvdapVygEIIISoCSZyEEEKUX3f3NulsAJix5QwAA5t5Ub2KXWlFJ4QQogKRxEkIIUT5dWwZJEaBjYu5t2n/hevsPpuAVq3ijc7+pRufEEKICkMSJyGEEOWTQQ+7vjJtt3sddLYoisL0m71NQ1t64+1sU4oBCiGEqEgkcRJCCFE+RSyDxEiwqQwtXwJg77nrHIi8gU6rZlynmqUcoBBCiIpEEichhBDlz529TW1fM/c2fb35NADPta6Gh6MsdiuEEKLoSOIkhBCi/Dm+Am5cAGtnaDkKgB2n4wmPScLKQs0rQTVKOUAhhBAVjSROQgghyhejIW9vk6UdRqPC9M2me5teaOuLq71VKQYohBCiIpLESQghRPlyfCVcPwfWlaCVqbdp04k4TlxJwc5Sy8sdpbdJCCFE0dOWdgBCCCFEgRkNsPNL03bAOLC0x2BUmLnV1Nv0YjtfKtnqSjHAkqMoCrkxMWQePUpO1EWU7CyMWdm3n7OyMGZnoWTn3NzOzvOsZGej5OaiqVQJrYc7Fu4eWLi7oXX3wMLDHa2bGxYeHmirVEGl0ZT25QohRKmTxEkIIUT5cWI1XD8LVk7QajQA645d4czVNBystIzsUL104ytGxsxMMiMiyAw/SmZ4OJlHj2K4fv2x29XHx6OPjyfr6LH8K2g0aKtUwcLd3ZRgublj4eGOzs8P60aN0Dg5PXYMQghRHkjiJIQQonwwGmDnNNN2wDiwckBvMDJr61kAxgTWwNHaohQDLDqKopB76ZIpQfo7nMzwcLJOnwaDIW9FCwus6tXFqnYd1DY2qKwsUVtZobK0QmWpQ21pladMbalDZWWFyvJmmVaL/vp1cuPi0MfGmZ7j7niOjwe9Hv3N14TfG6vOzw/rxo2xbtIE66ZNsKxZU3qohBAVkiROQgghyocTqyHhjKm3qbWpt2nV35eJTEjH2VbH8La+pRre41AUhayICNL37zf3KOXXm6R1czMlKDcTFav69VBbWj7WuS2qVsW6YcP84zIY0CdcR381jtzYOPRxseTGXSU3Npbsf/4hJyqKnMhIciIjSV6zBgC1jQ1WjRph3aSxOU5tpUqPFaMQQpQFkjgJIYQo+4zG2zPpBbwKVo7k6I3Mvtnb9EpgDWwty9+fNEWvJ3XrVq4v+ImsY3cNlbvZm2TTpIkpWWrSBAsPjxKNT6XRYOHmioWbK9aNGt2zX5+YSNaxY2SE3+wVOxaBMT2djLAwMsLCzPUsfKrdvo6mTbGsVQuVWuanEkKUL+Xvr4wQQognz8k1cO0fsHKE1mMAWHYohstJmVSxt+T/2viUbnyFZMzIIGnlKm78/DO5ly4BoNLpsAsMxLpp0yLrTSpu2kqVsAsMxC4wEDD1UGWfO2++ByszPJycCxfIvRhN8sVoktf+bjquShXsgoKwCw7GNqANamtZrFgIUfZJ4iSEEKJsMxpvz6TXZixYOZKVa+Cb7ecAGBdcE2td+binRn/tGjcWLyZxyVKMyckAaJycqPTss1R67lm0lSuXcoSPR6XRYFW7Fla1a1Fp6BAADElJpkktbt6rlREejv7aNZKWLydp+XJUlpbYtmmDXXAQdkFBWLi7l+5FCCHEfUjiJIQQomw79TtcOwWWjtD6ZQD+tz+auJQsqjpa8XQr71IO8OGyz53j+sKFpKz9HSU3FzANX6s8fDiO/ftX6B4XjZMTdh06YNehAwDGnBwy9h8gbccOUkN3oL8SS9rOnaTt3AlMwrJuXeyDTb1RVvXry5A+IUSZoVIURSntIEpSSkoKjo6OJCcn4+DgUNrhCCGEeBBFgf8GQuxRCHwPgj8gI0dPxy93kJCWw9SBDXmmVbXSjjJfiqKQceAgNxYsuJkUmFg3aYLzyBex79TpiZ99TlEUss+cJS00lLQdO8g8etT0b36TpooLdoGB2AcHYxsQgNrGphSjFUJURIXJDSRxEkIIUXZd3Ac/9QCtFYw/BTbOfBt6nmkb/6Gasw3b3g7EQlO2eiQUvZ7UzZtNEz4cP24qVKmw79IZ5xEvYtOsaYnGY1SM5BhyyDZkmx76bPN2rjEXJ0snXG1csbEo/aREf+MGaTt3kRYaSvqePRjT0837VDodth064Ni7F3ZBQRW6l04IUXIKkxvIUD0hhBBlV9g803Pjp8HGmdSsXL7fdR6AN7v4l7mkKXXrVq5+PpXcK1cAUFla4jhwAJVfeAGdr2+RnSfXmMuZxDNEXIsgIiGC6JTo24nRXQlSjjGnQG066BxwtXHFzdYNdxt33GzczK/dbNxws3XD3sIelUpVZNdxN62zM04D+uM0oD9KTg7pBw+SFrqTtB07yL10ibRt20jbtg21jQ32Xbvg0Ls3tgEBqLTycUYIUfykx0kIIUTZlBgFc5qCYoSx+8G1DrO3nmXm1jPUqGLL5rcC0aiL70N8YRizsrj6xRckLf0NAE2lSlR67jkqPfsMWmfnx2pbURSupF8h4loExxKOEXEtglM3TpFtyC50W2qVGkuNJVYaK3QaHVq1lhtZN8jUZxboeGuttSmJsnGjmkM1Gro0pKFLQ/wc/dCoi2/Y4a0hfSnr15Oybh25ly+b92mcnXEICcGhd2+smzYp1sROCFHxyFC9B5DESQghyolN/4K/voEaneD51SRl5NBh2g5Ss/V882xTejeqWtoRApB15gxX3n6b7LOmWf6cR75IlddeQ21l9UjtpeakcjzhOBEJEeZk6UbWjXvq2evszYmLfyV/bLQ2WGlNCdGtxMj8fLPcQm1xTzuKopCWm8bV9KtczbhKfEY8cRlxxGfE5ylLyk66b8y2FrbUr1zfFE+VhjRyaUQVmyqPdP0PoygKmeHhpKz7k5QNGzDcuP3eWHh64tCrFw69e2FVq1axnF8IUbFI4vQAkjgJIUQ5kJ0KM+pBdgo8twL8u/LVpn/4z47z1HG3Z/3rHVCXcm+ToigkLV3K1S+moWRno3FxoeoXX2DXvl2h2zp94zTLTi/j0NVDRCZHopD3T7NWpaWWcy0aujSkUZVGNHRpiI+DD2pVyQ1VzNJnmZKpjKvEpcdxNuksEdciOHH9RL49Vm42buZYG7o0pF7lekV+H5WSm0t6WBgp69aRumUrxowM8z7LWrVw6N0bx149sfD0LNLzCiEqDkmcHkASJyGEKAf2fw8bJkBlf3j1ANczcunw5Q4ycgz89/nmdKtfumv96BMTif3oI9K2bgPAtmMHqk6dWqh1mIyKkV2XdvHryV/ZH7c/zz5PO09zwtGoSiPqONfBSvtoPVjFzWA0cD75vPl+q4iECM4lncOoGPPUU6vU1HSqSaMqjWhXtR1tPNpgp7MrsjiMmZmkhYaSvO5P0nbtgpvTvgNYN2+O08CBOIR0R21rW2TnFEKUf5I4PYAkTkIIUcYZjTC3GSRGQq/p0PIlPvvzJD/sjqSRlyNrX21XqvexpB84wJV3J6C/ehUsLHB7520qPf98gdcbysjNYM25NSw+tZjo1GjAlFR0qdaF3tV707BKQ1ysXYrzEopdRm4GJ66fICIhguMJxzl27RhXM67mqaNVaWnm1owOnh3o4NWB6o7Vi+zf1ZCcTMrmzaSs+5OMAwfMU5yrbWyw79kDp4GD5H4oIQQgidMDSeIkhBBl3OkNsORpsHKE8ae4mqWh45c7yNYbWTiiJUG1XUslLEWvJ2HePBK+/Q4UBZ2vL1Wnf411/foFOv5y2mWWnFrCqrOrSM1NBcDewp7BtQbzdJ2nqWpXNu7ZKi7xGfFEXIvg0NVD7Lm8h6iUqDz7q9pWpYNXBzp4dqCle8siG9aXGxdH8trfSVq1ktyL0eZyXfXqOA0aiGO/fmhdyneiKoR4dJI4PYAkTkIIUcYt7A1Ru6HdG9B1Mp/8foKF+6Jo4VOJ5S8HlEovQe7ly1x+510y//4bAMeBA3H/1wcPHfalKArh18JZdHIR26K3mYev+Tj48Fzd5+hXo1+ZWD+pNESnRLP78m52X97NwdiDeaZN16l1tHRvaU6kqjk8/iLHiqKQeegQSStXkbJpE0rmzfuyNBrsgoJwGjQIu44dZGpzIZ4wkjg9gCROQghRhsVFwHftQaWBN4+RqHUl4IttZOUaWfxSa9rVLPmegZSNG4n96GOMqamo7exwn/QJjr16PfCYXEMumy5u4teTv3Li+glzeRuPNjxf73nae7Yv0YkdyrpMfSYH4w6y69Iudl/azZX0K3n2+zj40N6zPZ28O9HcrfljT31uSEsjZf16kleuIvPoUXO5pooLTv374zhgIJbV/R7rHEKI8kESpweQxEkIIcqwNa9C+K9QfyA89RNzt51l+pYzNPB04I9x7Uu0t8mYkcHVqVNJWr4CAOvGjak6/Wt0Xl73PSY9N53/nfofS/9ZSnxmPGDqPeldozfP1X2OWpVkiuyHURSFyORIU2/Upd0cjj+M3qg373exdqGrT1dCfENo4trksRPQ7LNnSVq1muS1a/NMbW6eUKJHCGqbJ7NXUIgngSRODyCJkxBClFFp12BmPTDkwMitZLk3o/207SSk5TD76Sb0a1JyU0pn/fMPl8e/Tc6FC6BSUXnMaKq8+ioqi3vXQbrlyNUjfLDnAy6nmRZndbF24enaT/NU7adwtnq8RXCfZGk5aeyP3U/opVC2R28nJSfFvM/Nxo1uvt0I8Q2hoUvDx0qslZwcUnfuJHnlKtOsfEbTsEq1nR2OffvgNHQoVrVrP/b1CCHKFkmcHkASJyGEKKNCp0Ho5+DZAkZtY+mBaN5fFYGnkzWh7wZhoSmZoW2Z4eFEvzgSY0YGWldXqn75JbZtWt+3fq4hl2+Pfsv84/MxKkaq2lZlXNNxhPiGYKG5f6IlCi/XkMtfsX+xKWoT26O3k5abZt7naedpTqLqOtd9rCQq92o8yWvXkrRiBbnRtyeUsG7cGKehQ029UNbWj3UtQoiyQRKnB5DESQghyiB9NsxsAOnxMGg+xvqD6DJzJxeupfNhr7q81KF6iYSRefwE0SNGYExNxaZVKzxnz0JbqdJ9619IvsDE3RM5ef0kAH1r9OX9Vu9jr7MvkXifZNmGbPZe3svGqI2ExoTmWYS3mn01uvt2J8QvBH8n/0dOohSjkYywMBJ/W0bqtm2gNw0ZVDs44Ni3L5WGDsHS378oLkcIUUokcXoASZyEEKIMCl8Ca14G+6rw5jG2nr7BS78cwt5Ky18TO2NnWfwznWX98w8XXxiOMTkZ6xbNqfbf/9733hZFUVh6eikzDs0gy5CFg86Bfwf8m26+3Yo9TnGvTH0muy/tZmPURnZf2k2WIcu8r7pjdUL8QuhTvQ9e9ve/P+1h9NeukbRqNUnLl5N76ZK53LpZMyoNHYJ99+6orcrmIsVCiPuTxOkBJHESQogyRlHg+44Qdww6/xs6jGfI939xIPIGYwKrM7FH3WIPIfvsWS4OewFDYiLWjRvjPX8+Grv8pxpPyEzgo70fsefyHgACPAKY0m4KbrZuxR6neLiM3AxCY0LZGLWRPZf3kGvMNe9r7tacfjX60c23G7YWD55K/n4Uo5H0vftIWvYbqdt3gMEAgNrREaf+/XAaOhTL6iXTQyqEeHySOD2AJE5CCFHGRO2FhT1Baw3jTxJ+XU3//+xFq1ax571OuDsW77f42RciuThsGIaEBKzq16faTwvQ3Ofvw7aL2/jkr09Iyk5Cp9YxvsV4nqnzjEwtXkal5qSyI2YH686vIyw2DAXTRx5rrTWdq3Wmb42+tHJv9cjTm+dejSd51UoSly9HfyXWXG7TogVOQ4di370bap2uSK5FCFE8JHF6AEmchBCijFn6HPyzDpqPgD6zePV/R/jzWCwDm3kyY0iTYj11TnQ0F//vefTx8VjWqYPPwp/QODndUy89N51pB6ax+txqAOo412Fq+6nUrFSzWOMTRScuPY51F9ax9txaolKizOVuNm70qdGHvjX64uf4aGs3KQYD6Xv2kPjbMtJCQ80z8mmcnXEaNBCnoUMfOI29EKL0SOL0AJI4CSFEGXIjEuY0BRQYu58YbTUCv9qBUYENb3Sgrkfx/Z7OvXyZqOefR38lFl3NGvj88gta53unDQ+PD2fi7olcSruEChUjGozg1SavotNIT0J5pCgKEQkR/H7+d9ZHric1J9W8r5FLI/rW6EuIXwiOlo6P1H5uXBxJK1aStHw5+qtXTYUqFbYd2lPp6aexCwxEpXm8BXyFEEVHEqcHkMRJCCHKkI0TIWwe1OgMz6/ik99PsHBfFB38XVg08v5TgD+u3Lg4Lv7f8+ReuoTO1xefRb+grVIlbx1jLt8f/Z4fIn7AqBjxsPXg8/af08K9RbHFJUpWtiGb0JhQfj//O3sv78WgmO5XslBbEOQdRL8a/Wjn2Q6tuvCTkyh6PWmhoSQuWUr63r3mcq2HB5WGPIXjoEFYuLoW1aUIIR6RJE4PIImTEEKUEVkpMKMe5KTCcytJ8uxI2y+2k5FjYNHIVnTwr/LwNh5Bbnw80c8PI+fiRSy8vfH5dREWbnkndohKjmLi7okcv34cgD7V+zCx9USZZrwCS8hM4M8Lf/L7+d85k3jGXF7Fugr9avZjQM0BVHOo9kht51y8SOKyZSSvXIUhKclUqNVi37kzlZ55GpvWrR9r3SkhxKOTxOkBJHESQogyIuxb2Pg+uNSGV/fzn9DzfLXpNHXc7dnwRodi+SCpv3GDi8OGkXPuPNqqHvguWoSFp2eeOieun2DU5lGk5qTioHPgo4CPCPENKfJYRNn1z41/WHtuLX9e+JPE7ERzeQu3Fgz0H0hXn65YaQs/aYkxO5vUTZtIXLKUzL//NpfrfH1xenooTgMGoHF8tCGCQohHU5jcoNSnAZo3bx5+fn5YWVnRvHlzdu/e/cD62dnZ/Otf/8LHxwdLS0tq1KjBggULSihaIYQQRcJogP3fmbbbvEy2wcjCfVEAjO5YvXiSpsREoke8aEqa3Nzw+fnne5Km4wnHzUlToyqNWNl3pSRNT6A6znV4r9V7bHtqGzOCZtDOsx0qVBy6eogP9nxAp2Wd+DTsU/PCxwWltrTEsW9ffJf8D7+1a3B65mnUNjbkREUR/8U0znYM5MrED8g8epQn7HttIcqFUu1x+u2333j++eeZN28e7dq14/vvv+fHH3/k5MmTVKuWf3d4v379uHr1Kp9++ik1a9YkPj4evV5P27ZtC3RO6XESQogy4J8/YemzYOUE40+x7Nh1Jqw4hruDFbvfC8ZCU7Tf6xlSUogePoKskyfRVHHB55dfsPTLO4NaxLUIxmwZQ2puKs1cmzGvy7xHXutHVDyxabGsOb+GNWfXcCX9irm8rnNdBvgPoKdfz0eaUMKQlk7Kuj9IXLKU7NOnzeWW9epS6emncezVC7Wt/D8UoriUm6F6rVu3plmzZnz77bfmsrp169K/f3+mTp16T/2NGzfy9NNPc+HCBZzzmfmoICRxEkKIMmBhb4jaDe3fQun8b7rN3MXZ+DQ+6FmH0R1rFOmpDGlpRI8cSdbRY2icnfH55Wcsa+adRvzYtWOM2TKGtNw0mrk249su32JjYVOkcYiKwagYCYsNY/XZ1WyL3mZeYNdSY0kXny4M8h9EC7cWhe41VRSFzL/DSfptKSkbNqLk5ACgtrPDsW9fnJ4eilWtWkV+PUI86cpF4pSTk4ONjQ3Lly9nwIAB5vI33niD8PBwdu7cec8xY8eO5cyZM7Ro0YJFixZha2tL3759mTJlCtbW1gU6ryROQghRymKPwfcdQKWBNyPYEWfBiJ8OYmepZd/ETjhYWRTZqYzp6USPHkPm4cNoHB2p9svPWNWunafO0WtHeXnLy6TlptHcrTnzOs+TpEkUSFJWEusurGPl2ZWcSzpnLve292ag/0D61ehHFZvCT3KiT0wkefUaEn9bSu7FaHO5dfPmVHp6KPbdu8vCukIUkcLkBoWfX7OIJCQkYDAYcLtrJiM3Nzfi4uLyPebChQvs2bMHKysrVq9eTUJCAmPHjuXGjRv3vc8pOzub7Oxs8+uUlJSiuwghhBCFd+vepvr9wdGTH5aFAfBMK++iTZqys4kZ+yqZhw+jtrfHe8H8e5Km8PhwXt76Mum56bR0b8k3nb6RpEkUmJOVE/9X7/94ru5zHE84zqpzq1h/YT0xqTHMPjKbb/7+hkCvQAbXGkzbqm3RqAu2fpO2UiUqvzgC5+EvkBEWRuLS30jdto3Mw4dNXwJ8PhXHgQOoNHQouvvc2iCEKHqPlDgdPHiQ5cuXEx0dTc7NruRbVq1aVai27u7KVhTlvt3bRqMRlUrF4sWLcbw568yMGTMYPHgw//nPf/LtdZo6dSqTJk0qVExCCCGKSVo8RCw3bbcZy/HLyew7fx2tWsWIdn4PPraQrk6dSsb+/ahtban24w9Y16+fZ394fDhjtowhQ59BK/dWzO00V5Im8UhUKhUNqzSkYZWGvNviXTZFbWLl2ZUcvXaU7THb2R6zHQ9bDwbUHMAA/wG427oXrF21Gtu2bbFt25bcq/EkrVhO0vIV6OPiuDF/ATfmL8C2fXsqPT0Uu6AgVNpS+z5ciCdCoe++Xbp0Ke3atePkyZOsXr2a3NxcTp48yfbt283JTEG4uLig0Wju6V2Kj4+/pxfqFg8PDzw9PfOcp27duiiKwqVLl/I9ZuLEiSQnJ5sfMTExBY5RCCFEETu0AAw54NUSvFrw310XAOjdyIOqTgUbcl0QKRs2kLT0N1Cp8Jw1C+vGjfPs/zv+b3PS1Nq9Nd90lp4mUTRsLGwY4D+AX3v+yqq+q/i/uv+Hg86B2PRY5h2dR/eV3Xl126tsj96O3qgvcLsWbq5UefVVam7dgtd/vsG2QwdQqUjfs4dL417jXOcuXJv7Dbn3GbUjhHh8hU6cPv/8c2bOnMm6devQ6XTMnj2bU6dOMWTIkPvOhJcfnU5H8+bN2bJlS57yLVu23HeGvHbt2nHlyhXS0tLMZWfOnEGtVuPl5ZXvMZaWljg4OOR5CCGEKAX6bDj4o2m7zStcSszgz4hYAF7qUL3ITpMTHU3sRx8DUHn0aOw6tM+z//DVw7eTJo/WzO08F2tt0SVtQtziX8mf91q9x/Yh2/miwxe0cGuBUTGy69Iu3tjxBt1WdGPOkTlcSs3/y9/8qG4unFvth/9SY/MmKo96CY2zM/qrV0n4z38416kzMa+MJTU0FMVgKMarE+LJU+jJIWxtbTlx4gS+vr64uLiwY8cOGjZsyKlTp+jUqROxsbEFbuvWdOTfffcdAQEB/Pe//+WHH37gxIkT+Pj4MHHiRC5fvswvv/wCQFpaGnXr1qVNmzZMmjSJhIQEXnrpJQIDA/nhhx8KdE6ZHEIIIUrJ34th7Vhw8IQ3jjJlw1nm74mkXc3KLH6pTZGcwpiTw8VnniXrxAmsmzfH5+eFeYYvHYo7xNhtY8nUZ9LGow1zO819pIVMhXhUUclRrDq7irXn13Ij64a5PMAjgEG1BtHJuxMWmsLd62fMySF18xaSfvuNjIMHzeXaqh44DR6M06DBWLi5Ftk1CFGRFOvkEM7OzqSmpgLg6enJ8ePHadiwIUlJSWRkZBSqraFDh3L9+nUmT55MbGwsDRo0YP369fj4+AAQGxtLdPTt2WTs7OzYsmULr732Gi1atKBy5coMGTKETz/9tLCXIYQQoiQpCoTdXHqi1SiSc2DpAdPv91FF2NsU//XXZJ04gcbJCc/pX+dJmg7GHeTVba+Sqc8kwCOAOZ3mSNIkSpyvoy/jW4zntaavsT1mOyvPrOSv2L/MD2crZ/rW6Msg/0H4OvoWqE21Todj71449u5F9oULJC1bTvLq1eivxJIwZy4J/5mHXXAQlYYOxbZtW1Sagk1SIYTIq9A9Ts8++ywtWrRg/PjxfPbZZ8yePZt+/fqxZcsWmjVrVujJIUqa9DgJIUQpiA6DBd1Baw3jT/LdwUS+2PAPtd3s2fhmh0KveZOf1K1buTTuNQC8vvsW+6Ag8747k6Z2VdsxK3iWJE2izLiUeolVZ1ex5twarmVeM5c3d2vOIP9BdPXpWuj/r8bsbFI3bybxt9/IPHTYXG5RtSpOQ57CceBALFylF0qIYl3H6caNG2RlZVG1alWMRiNff/01e/bsoWbNmnz00UdUqlTpsYIvbpI4CSFEKVg1Bo4thSb/R07vuXT4cjtXU7L5anAjnmrh/djN516+zIUBAzGmpOA8YgRu700w7zsQe4BXt71KliGLdp7tmB08G0uN5WOfU4iipjfq2X1pNyvPrmT35d0YFSMADjoHelfvzaBag6hVqfCL4GafO0fismUkr1mL8dayLFot9sHBOA0dim3bAFTqQt/2LkSFUC4WwC0tkjgJIUQJy7gB0+uAIRte2sbKq+68vfworvaW7H4vGEvt4w0bUnJzufj8MDLDw7Fq1AjfXxehurk46P7Y/YzbNo4sQxbtPdszK3iWJE2iXIhLj2PNuTWsPruaK+lXzOWNXBoxqNYgQnxDCj0TpDEri5SNG0n6bRmZf/9tLrfw8sJp8CAcBwyUe6HEE6dYEyeNRkNsbCyud3XvXr9+HVdXVwxlfAYXSZyEEKKEhX0LG98Ht4YoY3bRY84e/olLZUJIbcYG1Xzs5uO//prrP85HbW+P3+rV6Lw8AYi4FsGLm14ky5BFB88OzAqehU6je+zzCVGSDEYDYbFhrDy7kh3RO9ArpinMbbQ29Kzek8H+g6lXuV6hh7tmnT5D0rJlJP/+O8ab966jVmMXGIjTU09h17GDrAslngjFmjip1Wri4uLuSZyuXLlCjRo1yMzMLHzEJUgSJyGEKEGKAv9pDQmnoefX7HLqz7AFB7DRafjr/c442hRu9rC7pe3aRczoMQB4zpmNQ7duACRmJTJk3RDi0uNo79me2cGzJWkS5V5CZgK/n/+dlWdWEp16e/KsOs51GOQ/iJ7Ve+KgK9xnG2NmJimbNpG0fAWZh2/fC6V1dcVx4ACcBg1C5/34w2mFKKuKJXGaM2cOAG+99RZTpkzBzs7OvM9gMLBr1y6ioqL4+46u37JIEichhChBF/+Cn0LAwgbe/ofnF//D7rMJjGjny7/71H+spnOvXiWy/wAMiYlUeu453D/6EDB9Q//qtlfZe2UvPg4+LO21FDud3UNaE6L8UBSFQ1cPseLMCrZe3EqOMQcAS40lXX26MtB/IC3cWhS6Fyr7wgWSlq8gec0aDImJ5nLbtgE4DR6MXZcuqHXyBYSoWIolcfLz8wPg4sWLeHl5obljKkudToevry+TJ0+mdevWjxF68ZPESQghStCq0XDsN2j6PCdbfk7PObtRq2Dnu8F4Oxfu/ow7KXo90cNHkHHoEJb16uK7ZAlqS9O9S9+Gf8u8o/Ow0lixuNfiR7qZXojyIikriXUX1rHy7ErOJZ0zl1ezr8YA/wH0q9GPKjZVCtWmkpND6vbtJC1fQfq+faaeY0Dj5IRjv344PTUYy5qPP8xWiLKgWIfqBQcHs2rVqjI/e979SOIkhBAlJM+kENsZv1fDqr8v07uRB9882+yxmr42Zw4J875FbWuL36qV6G6u/7f38l5e2foKCgqftf+MvjX6FsWVCFHmKYpCREIEq86uYkPkBjL0prU1NSoNHTw7MNB/IB28OqBVF+6+pZxLl0letZKklavQX71qLrdu2hSnp57CoXs31La2RXotQpQkmVXvASRxEkKIEvLXPNg0EdwbcvWZLbSbtgO9UeH3ce1o5OX0yM2m//UX0S+OBEWh6vSvcezVC4DYtFiGrBtCUnYSg2sN5t8B/y6iCxGifMnIzWBT1CZWn1vN3/G3b6FwsXahX41+DPAfgI+DT6HaVAwG0nbvJmnFCtJ2hMLNycDUNjbY9wjBadAgrJs2LZI12YQoSUWeOI0fP77AJ58xY0aB65YGSZyEEKIEKAr8pxUknIFeM5iV3IFZW8/SwqcSK15p+8jN6hMSuNB/AIaEBJyeegqPKZMByDXkMnzjcI4lHKOuc10W9Vwk044LAVxIusDqc6v5/fzv3Mi6YS6/tbhuF58uWGutC9Vmbnw8yWvWkrRyBbkXb09SofP1xXHgQBz79ZNpzUW5UeSJU3BwcIFOrFKp2L59e8GiLCWSOAkhRAmI2gsLe4KFLblvnaT9rENcTclm9tNN6NfE85GaVIxGYl56ifR9f2Hp74/vst9QW5s+8H2+/3OW/LMEB50Dv/X+DS97r6K8GiHKvVxDLjsv7WTV2VXsvbLXvLiunYUdPf160r9mfxq4NChUj5GiKGQePkzSqtWkbNyIkmEaHohajW2H9jgNGIhdp2CZUEKUaTJU7wEkcRJCiBKwchRELINmw1jv9wFjFx/BxU7H3vc7PfKCtwnffce1WbNRWVvjt2I5ljVqALAhcgMTdk0A4D+d/0NHr45FdhlCVERx6XGsPbeW1edWczntsrm8plNN+tfsT6/qvXCxdilUm8b0dFI2biJp1ao805prnJxw6NMHp4EDsKpbt8iuQYiiUiKJ07lz5zh//jwdO3bE2toaRVHKxbhWSZyEEKKY3TkpxKgdPPNnDn9duM644Jq80732ozV56BAXh70ARiMeU6fiNKA/AOeTzvPMn8+Qqc9kVMNRvN7s9SK8ECEqNqNi5EDcAdacW8PWi1vJNmQDNyeU8OpA/5r96ejVEQt14dZby46MJHn1GpLXrEEfH28ut6xXF6cBA3Ho3QttOZ1kTFQ8xZo4Xb9+nSFDhrBjxw5UKhVnz56levXqjBw5EicnJ6ZPn/5YwRc3SZyEEKKY7fsGNv8LPBpzbsCfdJmxC7UKdr/XCU+nwt1LAaBPTCSy/wD0V6/i2K8fVad9AZhugH/mz2e4kHyB1u6t+b7r92jUj9abJcSTLiUnhY2RG1l7bi3HEo6Zy52tnOlVvRf9a/Yv9NT+isFA+t69JK1aTeq2bZCbC4DKwgK7Tp1w7NcPuw7tUVk83kLYQjyOYk2chg0bRnx8PD/++CN169bl6NGjVK9enc2bN/PWW29x4sSJxwq+uEniJIQQxUhR4JuWcP0s9J7JJ1das3BfFF3rufHDsBaP1OSl198gdfNmdH5++K1YjtrWFkVReG/Xe2yI2oCrtSvL+iyjsnXlIr4YIZ5M55POs/bcWv648AcJmQnm8nqV69G/Zn96+vXE0dKxUG3qExNJWfcnSatWkX3qlLlc4+yMQ+9eOPbrh1W9euVi9JKoWIo1cXJ3d2fTpk00btwYe3t7c+IUGRlJw4YNSUtLe6zgi5skTkIIUYyi9sDCXqCzI33ccdpMP0Bqtp5fXmxFx1qFW4QTIG33bmJGjQaNBr8Vy833SPzv1P+YemAqWpWWBSELaOratKivRIgnnt6oZ+/lvaw5t4bQS6HojXoALNQWdKrWif41+xPgEVDont6sU6dIXrOW5HXrMFy/bi639K+JY79+OPTpg4WbW5FeixD3U5jcoHCroAHp6enY2Ny72ntCQgKWljL1qxBCPNEO/WR6bjiYNadSSM3W4+diS/uahbvRHMCYnU3clE8BcB42zJw0Hb12lK8OfQXAW83fkqRJiGKiVWsJ9A4k0DuQG1k3WH9hPavPreZM4hk2RW1iU9QmqlhXoXf13vSp0Qf/Sv4Fateqbl2s6tbF9Z23Sd+3j+S1a0nduo3ss+eI/3o68dNnYBsQgOOA/th37ow6n8+dQpSGQvc49erVi2bNmjFlyhTs7e05duwYPj4+PP300xiNRlasWFFcsRYJ6XESQohikn4dZtQBQw7KqFB6LE/ln7hUPuxVl5c6VC90c9e++Q8J33yD1tWV6uvXo7GzJTErkSHrhhCXHkdXn65MD5wuQ3uEKEGKonDqxinWnFvD+sj1JGcnm/fVda5Lnxp96OnXs9BDZw0pKaRs3Ejy2t/zzMqntrHBvnt3HPv1w6ZVS1RqdZFdixBQzEP1Tp48SVBQEM2bN2f79u307duXEydOcOPGDfbu3UuNm9PDllWSOAkhRDHZNxc2fwgeTTjYfTVPffcXVhZq9k/sgqNN4W7+zomO5kLvPig5OXjOnIFDjx4YjAbGbhvLviv78HHwYWmvpdjp7IrpYoQQD5NryGXX5V38cf4Pdl7aaR7Kp1FpaO/Znj41+hDkHVToxahzoqNJ/v0PkteuJTcmxlyureqBY5++OPbpjWXNmkV6LeLJVezTkcfFxTFv3jyOHDmC0WikWbNmvPrqq3h4eDxy0CVFEichhCgGigLftIDr56DPbF4/05jfj15haAtvpg1uVMimFGJefpn0nbuwbRuA9/z5qFQq5oXP49uj32KlsWJxr8WFnuFLCFF8krKS2BC1gT/O/0FEQoS53N7Cnu5+3elboy9NqjQp/AK7R46QvGYtKRs3YkxNNe+zrFsXx969cOjVCwt39yK9FvFkkQVwH0ASJyGEKAaRu+DnPqCz49qYY7SdsZ9cg8K619rTwLNws2+lbt3KpXGvgYUF1deuxbK6H3su72Hs1rEoKHzW/jP61uhbTBcihHhcF5IvsO78Ov648Adx6XHmcm97b/rU6EPv6r3xtvcuVJvGrCzStm8n+Y91pO3eDXpT7xYqFTYtW+LQuxcO3bujcSzc7xshijVxOnv2LGvXriUqKgqVSkX16tXp378/fn5+jxV0SZHESQghisGKF+H4Smg+gm9sX+XrzWdo4u3EmlfbFaoZY0YG53v3Rn8llspjxuD61pvEpsXy1LqnSM5OZnCtwfw74N/FdBFCiKJkVIwcijvE7+d/Z8vFLWToM8z7mro2pZdfL7r7dsfJyqlQ7eoTE0ndtInkdevIPHT7fiiVhQW2gR1x7N0Hu6BA1FZWRXUpogIrtsRp6tSpfPzxxxiNRlxdXVEUhWvXrqHRaPj888955513Hjv44iaJkxBCFLH0BJheB4y56F/aScdF17mSnMWMIY0Z2MyrUE3Fz5jJ9f/+F4uqVan+5zpUVla8uOlFDl09RF3nuizquajQ90sIIUpfRm4G26K38cf5PwiLDUPB9PFTq9LSzrMdvar3Isg7CGtt4RbJzr18meQ/15Oybh3ZZ86Yy9V2dth37Ypjn97YtG6NSiOLY4v8FUvitGPHDrp06cJHH33EG2+8QaVKlQC4ceMGs2bN4vPPP2f79u107Njx8a+gGEniJIQQRWzvbNjyMVRtxuZ2Sxi96DCVbCz4a2JnrCwK/mEl+8IFLvTrD7m5eP3nG+w7d2b12dV8vO9jrDRWrOq7Cm+Hwg3vEUKUPVfTr7IxaiN/XviTUzduL4Zro7Whc7XO9Krei9YerdGqC7dqTtbpM6Ss+4PkdX+ij401l2uquODYsycOvXph1bChzMQp8iiWxGno0KE4OTnx/fff57t/9OjRpKamsmTJksJHXIIkcRJCiCJkNMI3zeHGBegzh+fD67D7bAJjAqszsUfdAjejKArRL75Ixl9h2AUF4fXtPBKzE+m7pi/J2cmMbz6eEQ1GFOOFCCFKw4WkC6y7sI71keu5nHbZXF7ZqjIhfiH08utFA5cGhZtUwmg0TSrxxzpSN27EkHx7ynQLLy8ceoTg0KMHlnXrShIliidx8vPzY9GiRbRv3z7f/bt372bYsGFERkYWPuISJImTEEIUoQs74Ze+oLMn8oXDBM89hEoFu94Nxtu54ItWpqxfz+Xxb6OytKT6n+vQeXkxcfdE1l1YR+1KtVnSewkW6sJNaS6EKD8UReHotaOsu7COzVGbScxONO/zcfChp19PelXvhY+DT+Hazckhbc9eUtatIzU0FCXj9n1WOh8fHHr1NCVR/gVbvFdUPMWSONnY2HDmzBm8vPIfr37p0iX8/f3JzMwsfMQlSBInIYQoQsuHw4nV0GIkU3iJ+Xsi6VTHlQXDWxa4CUNaGhd69ER/7Rour79GlbFj+evKX4zeMhoVKhb3XEzDKg2L7xqEEGVKrjGXv678xboL6wiNCSVTf/uzZYPKDQjxC6G7b3fcbQs3DbkxM5O0nTtJWb+BtJ07UbKzzfss/Wti36OHKYkqJxOeiaJRLImTWq0mLi4OV1fXfPdfvXqVqlWrYjAYCh9xCZLESQghikjaNZhRF4y5ZI3cRav5caRk6flpeEuC6+T/tyI/V6d+wY2ff8bCpxrVf/+dHI3CwN8HEpMawzN1nuGD1h8U40UIIcqyW5NKrI9cz19X/sKg3P6c2cy1Gd19u9PNtxsu1i6FateQlk7aju2mJGrPHsjNNe+zrFcXh5tJlO4+HQai4ii2xOnTTz/Fzi7/VdpTU1P5+OOPJXESQognxZ5ZsPXf4Nmc35os5L2VEXg7W7PznWDU6oLdN5B1+gyRAweCwYD3Dz9g16E9c47M4YeIH3C1cWVtv7XY6fL/uyOEeLJcz7zOlotb2Bi1kSNXj5hn5lOr1LR0a0mIXwhdqnUp9PTmhpQUUrduI2X9etL/+gvu+Cxr1aiRKYnq1hULT8+ivBxRRhRL4uTr61ugG+jkHichhHgCGI0wtxkkRqL0nUvvPX6cuJLCxB51GBNYo0BNKIrCxf97nszDh7Hv1g2vObM5l3iOp/54Cr2iZ1bQLDr7dC7mCxFClEdx6XFsjtrMpqhNHEs4Zi7XqrS0qdqGHn49CPYOxl5nX6h29YmJpG7eQsqGDWQcOGD6XXeTVYMG2HfvhkO3buh8CnevlSi7inUB3PJOEichhCgC53fAov5g6cDRIWH0+yEcnVZN2MTOONvqCtRE0uo1xE6ciMrGhhp/rkPj7sYLG14g/Fo4Qd5BzAmeIzNeCSEe6lLqJTZFbWJj1Eb+ufGPuVyn1tHesz0hfiEEegViY1HwCWsA9NeukbJ5M6mbNpNx6FCeJMqybl0cunfDvls3LKtXL7JrESVPEqcHkMRJCCGKwLIX4OQaaPkS49OeZ9XflxnUzIvpQxoX6HBDcjLne/TEcOMGru+8TeWXXmL5meVM/msy1lprfu//e6Fv/BZCiMjkSDZGbWRD5AYik2+PgrLWWtPesz3dfLvR0bNj4ZOohARSt24jdfMm0vcfyDOcz9K/JvbdumPfvRuW/v7yhU85I4nTA0jiJIQQjykt/uakEHqSXwil5Y9x5BiMrHm1HU28nQrURNzkyST+bwm6GjWovnoV1w0p9F3dl9TcVCa0nMDz9Z4v3msQQlRoiqJwJvEMm6I2sSFyA5fSLpn3WWosTUmUTzcCvQOxtbAtVNv6xETStm8nZdMm0v8KyzOxhM7PD/tu3XDo3k3WiSonJHF6AEmchBDiMe2eAdsmgVdLvvP/ni82/ENDT0d+H9euQB8SMo+fIOqpp0BRqPbzz9i2bsW7O99lY9RG6lWux/96/g+NWlMCFyKEeBIoisLJ6yfZfHEzWy5uISY1xrxPp9bR1rMt3Xy6EeQdVOh7ogzJyaTu2EHqps2k79mDckcSZeHtjX2XLth36Yx1kyaoNPJ7rSySxOkBJHESQojHYDTC3KaQGIWx73/ouKUqlxIz+XJwI4a08H7o4YrRSNTTz5B17BgOffrg+dWX7L60m7HbxqJWqVnSawn1KtcrgQsRQjyJFEXhdOJpNkeZkqiolCjzPgu1BQFVA8xJlKOlY6HaNqSlkRa6k9RNm0jbtSvPOlGaypWx7xSMXefO2AYEoLa0LKpLEo9JEqcHkMRJCCEew/ntsGgAWDoS2mcXw389gaO1BWETO2Ote/i3qYm/LSPu3/9GbWdHjQ3ryXGyZeDvA7mcdpnn6z3PhJYTSuAihBDClESdTTrLlotb2BK1hfPJ5837tCotrau2pptPNzp5dyr0FOfG9HTS9uwlddtW0kJ3YkxJMe9T29hg27Ej9l26YBfYEY194Xq5RNEq9sTJaDRy7tw54uPjMd4xwwhAx44dC9tciZLESQghHsPy4XBiNbQcxYj4Iew4fY2X2vvxYe+H9xLpb9zgfI+eGJOTcfvgA5yHPc+MwzP46fhPeNh6sKbfmkLfsC2EEEXlfNJ583C+s4lnzeUalYZmbs3oXK0znat1LvTENUpuLhkHD5K6dSupW7ehj4+/vdPCAtvWrbHv0hm7Tp2wcC344uGiaBRr4hQWFsazzz7LxYsXuftQlUolC+AKIURFlXEDptcGQw6xT2+h7c/XUBQIfScIX5eH31x95V//InnlKizr1sVv+TLOpJxn6LqhGBQD33T6hkDvwBK4CCGEeLjI5Ei2XtzK5oub80xxDlCvcj1zElXdsXqhJoBQjEayjh83zdC3dSs5Fy7k2W/duDH2Xbtg16kzltX9iuRaxIMVa+LUpEkTatWqxaRJk/Dw8LjnP4ujY+HGg5Y0SZyEEOIR7f8eNkwA90ZMrfZfvt91gY61qvDLi60eemjWqVNEDhgIgM+S/2HZuBHPb3ieiIQIuvp0ZUbQjOKOXgghHsml1Etsj97Otuht/B3/Nwq3Pzr7OvjSqVonOlfrTAOXBqhV6kK1nX3hgimJ2raVrKPH8uzT+fhgFxyMXXAwNs2bodJqi+R6RF7FmjjZ2tpy9OhRatas+VhBlhZJnIQQ4hF91x7iIsjtNo2WW6uTlJHLD8Na0LWe20MPjRnzMmk7d+LQqxee079myT9L+Hz/59ha2PJ7/99xtZHhKUKIsu965nVCY0LZFr2NsNgwco23Z9FztXEl2DuYztU608K9BRZqi0K1nXv1Kmnbt5O6dRvpBw7kmeZc7eiIXYcO2AUHYdehAxr5DFtkijVx6tSpExMmTCAkJOSxgiwtkjgJIcQjuBIO/w0EjSW/d9nO62sv4ulkza4JwWjUDx6mknHkCBeffQ40Gmqs/5NEFyv6re1Hem46H7T+gGfqPFMy1yCEEEUoLSeNPZf3sC16G7sv7yY9N928z0HnQKBXIEHeQbTzbFfotaIMaWmk79lL2o4dpO3ciSEp6fZOrRabFi2wDw7CLjgYXbVqRXNBT6jC5AaF7vN77bXXePvtt4mLi6Nhw4ZYWOTNphs1alTYJoUQQpR1f/9qeq7bm/lHkgF4tnW1hyZNiqJwbcZMAJwGDULn48MXO94iPTedRi6NGFJrSLGGLYQQxcVOZ0eIXwghfiHkGHIIiw1je/R2dsTs4EbWDf648Ad/XPgDC7UFrdxbEegdSJBXEB52Hg9tW2Nnh0NIdxxCuqMYDGSGh5O2YwepO0LJOX+ejLAwMsLCuDr1C3Q1a2AfHIxdcCesGzeS9aKKUaF7nNTqe8duqlQqFEWRySGEEKIiys2C6bUgK5nIkF8JXqNGp1Gzb2InXOwevBZJ2u49xIwahUqno8bmTezJOcXrO15Ho9LwW+/fqO1cu4QuQgghSobBaCD8WjihMaHsiNnBxZSLefbXca5DkHcQQd5B1HOuV6jJJQByLl4kdccO0naEknHoENzx2VtTqRK2Hdpj1zEQu/bt0Dg5FcEVVWzFOlTv4sWLD9zv4+NTmOZKnCROQghRSBErYOVIcPRmovevLDl0mX5NqjL76aYPPExRFKIGDSbr5Emchw/H/u3X6Le2H3HpcYxoMILxzceX0AUIIUTpiUyOJDQmlNCYUMKvhWNUbi/l42rtauqJ8g6itUdrLDWFWxjXkJJC2u7dpG3fQdru3XnWi0KtxrpxY+wC/7+9+w6Pqsz7P/4+k95NSAVC771DQgcJRRFWXFEUcEUUxYJ1wa7Pbx9WdxX0QRAEBBWVBQTZFRREaqjB0CMgvSRAAumQZGbO749gdrMJJEHIZJLP67rmkpxzn5nveK5D/Pg957574tuzBx5NmpQ5pFUFWgD3OhScRETK6LMhcHQdud1eos2G9mTn2lj4aBc616t23cPSf1jFmWeeweLtTf0fV/P+kdl8fuBzavjWYOmQpXi5epXTFxARqRguXbnExjMbWXdqHZvObOKy9XLBPi9XL6IiougV2YvuNbsT7BVcpvc28/Lyb+nbsIHM9RvIOXSo0H7X0FB8enTHt2dPfKKicfEt23NXldUtD05Hjhxh6tSpJCQkYBgGTZs25ZlnnqF+/fo3XHR5UXASESmDSyfgg9aAybc9v+eZHy5SL8SHNc/1vO7/uTRtNo4Ovovco0cJHj+e9JEDuXv53dhNOzNun0G3Gt3K7zuIiFRAObYcdiTtKOhGncs+V2h/82rN6VGzBz1q9qBZtWZlnuo8LzGRzPUbyNywgawtWzAv/zuk4eaGd/v2+PbogW/PHrjXK9t6VJXJLQ1OP/zwA3fddRdt2rSha9eumKbJ5s2b2b17N//85z/p16/f7yr+VlNwEhEpg3V/hXWToW5PBqe/xN4zabx6R1Me6V7vuoelLl1G4qRJuAQEUH/Nj0zYNol1p9fRJ7IPH/T5oJyKFxFxDqZp8svFX/JD1Ol1HEg5UGh/kGcQ3Wp0o0fNHkRXj8bP3a9M72/PySE7Lo7M9evJWr+B3P969MatRo38Z6O6d8e7c5cq1Y26pcGpbdu29O/fn7/+9a+Ftk+cOJFVq1bx888/l73icqTgJCJSSnZ7frcp7SQne31Ij++DcXexsPXlvgT5uF/7sNxcjg4YSN7Zs4S++CLH72zNQ98/hIvhwtIhS6kbULccv4SIiPO5kH2BTWc2sfHMRjaf3VxoqnNXw5U2oW3oUbMH3Wt0p/5t9cs+wcTx42Ru2Ejm+vVkb9+O+R9rRuHqinebNvh0745Pt654Nm2KUczkcJXFLQ1Onp6e7N27l4YNGxbafujQIVq1asWVK1fKXnE5UnASESmlI2vh86HgGcDrDb/hsx3nGNy6Ov93//Unhbi4YAHn/uf/4RoaSr0fvmfU2kfYc2EPf2z0R16Per18ahcRqSTybHnEn49nw+kNbDizgWNpxwrtr+5Tne41u9OjZg86hncs8/Oj9uxssrZty183atNG8k6cLLTfpVo1fLpG49utGz5du+Ja7frPtzqbW7qOU0hICLt27SoSnHbt2kVoqFZ+FxGpNK6u3ZTXbBjf7EwB4P5Okdc9xJ6dTfKMjwEIfuJx1p6PZc+FPXi5evF468dvbb0iIpWQm4sbnSI60SmiEy90fIFTGafYeHojG89sZHvids5mnWXhwYUsPLgQDxcPOoR1ILp6NN1qdKNuQN0Su1EWb2/8evfGr3dvAHJPniRz0yayNsWSvXUrtpQU0pf/k/Tl/wTAs1kzfLp1w6dbV7zbtsX4rzVdK7MyB6exY8fy6KOPcvToUaKjozEMg02bNvHOO+/w/PPP34oaRUSkvF2+BAn5vyTXeseQmWOlTjVvokqYSe/iggXYkpNxi4zEZ+hdfLByOAAjm40kxDvklpctIlLZRfpFMqLpCEY0HcFl62W2J25n45mNbDi9gcSsRGLPxhJ7Npa/xf2NCJ+IghDVOaJzqZ6Ncq9Vi6ARIwgaMQIzN5fs+F1kbdpEZuwmcg4kcOXAAa4cOEDKrFlYfHzw7twZn6gofLpG41635KDmzMp8q55pmkydOpX33nuPs2fPAlC9enVefPFFnn766Qr/L0u36omIlML2T2DFCxDWgiG2d9h9Oo2JA5swrue1Z0+1pafza78Y7GlpVH/3HX5ofIX/2fo/BHoEsuLuFfi6+5bjFxARqVpM0+RY2jE2ndlE7NlY4pLiyLXnFux3MVxoHdKarjW60rVGV5oGNS3zTH3WCxfI2ryZzI2byIqNxXbpUqH9ruHh+SEqOhqfqC64BpdtSnVHKLd1nDIyMgDw8yvbzB6OpOAkIlIKM3tA4m6Sot+iy08NcXMx2DKpL8G+116c8fwHH5Ay42M8GjYgbNGX3PHtYFKupDCx00QeaPpAORYvIiKXrZfZeW4nsWdi2XRmE8fTjxfaH+QZRFT1KLpW70p09WiqeZXt2SXTbufKgQSyNm8ma8tmLu/8GTM3t9AYj8aNC7pR3h06YPGqeOv3aQHc61BwEhEpQeIemNkdXNyZ3GwZM3ekckfLCD56oN01D7EmJ/NrTH/M7GxqTvs/FoT8yke7PqKmb02WD12Om0vVuQdeRKQiOpN5htgzscSeiWVb0rZCM/UBNAlqQpeILkRFRNEurB2erp5len/75ctk//xzfpDavIWchIRC+w03N7zats3vRkVH4dm8OYaLy+/+Xr/XTQ9O7dq1Y82aNQQGBtK2bdvr3o6n6chFRJzcipdg+0ysTYbQNuEBMnKsfDGmM90aXvuWi6T//V8uffY5ni1b4jd/OncsvYNsazbv9niXgXUHlmPxIiJSkjx7HrvP785/HupMLAkXC4ccd4s7bcPaEhURRVT1KJoENSn7bX0XL5K1ZUv+a/NmrGcTC+23+PtT47338O3u2AXRb/qsekOGDMHDw6PgzxX9OSYREblBeVdgz0IANvsPJCPHSmSQF9H1r30LR97Zs6R+9TUAoc9O4IO9s8i2ZtOsWjP61+lfLmWLiEjpuVnc6BDegQ7hHXim3TMkX05me+J2tiRuYcvZLZzLPse2xG1sS9zG1J+nEugRSOeIzkRVjyIqIooI34gSP8M1KIiAO+4g4I47ME2TvBMnyNy8mewtW8jaug17ejrutWuVw7e9eXSrnoiI/Nu+b2Dxn8C/Bn/0nMmOk+m82L8x43s3uOYhZ199lbTFS/Du0gXjw7cYsmwIVtPK7JjZdI7oXI7Fi4jI72WaJsfSj7Hl7Ba2nt3K9qTtZFuzC42p41+nIEh1Cu9Uqtn6Cn2G1cqVhF/watniZpZ+Q27pOk716tVjx44dVPuvxa9SU1Np164dR48eLetbiohIRXF17abkBvewY3M6rhaDP3aoec3hOUePkbZ0GQChE57htfgPsZpWutboqtAkIuKEDMOgXkA96gXU44GmD5Bnz2Pvhb1sTdzKlrNb2Ju8l+PpxzmefpyFBxdiMSw0r9acTuH5a021DW1b4iK8hqtrhQhNZVXm4HT8+HFsNluR7Tk5OZw+ffqmFCUiIg6QegqO/ATAgpyugJW+TUMJ9bv2A8LJ0/4PbDZ8+/ThSE1Xftj9AwYGz7Z7tpyKFhGRW8nN4ka7sHa0C2vHE22eICM3gx1JO/I7UolbOZ5+nL3Je9mbvJc5++bgZnGjdUhrOkV0onN4Z1oGt6w0EwSVOjgtX7684M8//PADAQEBBT/bbDbWrFlD3bp1b251IiJSfnZ/BZjYandjzv78Tfd3uvb951cSEkhfsRIMg+Cnn+LNnX8D4M56d9I4qHE5FCwiIuXNz92PPrX60KdWHwCSspLYkbSDrYlb2Za4jXPZ54g7F0fcuTimMx0vVy/ahbWjc3hnOkV0oklgE1wsjp9N70aUOjgNHToUyG/fjR49utA+Nzc36tSpw3vvvXdTixMRkXJitxfcphdf7U7SD1qpcZsX3RuGXPOQC1M/AMD/jjuI873A9qTtuFnceLLtk+VSsoiIOF64TziD6w9mcP3BmKbJqYxTbEvKn1hie+J2LuVcKpgGHcDf3Z+O4R3pFN6J22vfTqh3qIO/QemVOjjZ7XYA6taty44dOwh2gpWARUSklI5vhNQT4OHP1DNNgGzu6xiJi6X4WVSzf/6ZzPXrwcWFoPFP8NTPzwMwoskIqvtWL8fCRUSkojAMg1r+tajlX4s/NvojdtPOr6m/sj1xO9sStxF3Lo703HTWnFzDmpNrqBNQp3IGp98cO3bsVtQhIiKOdLXblFb/Ljb9nI3FgD92iCx2qGmaXHh/CgC3DRvGKtseDl86jJ+bH2NbjS23kkVEpGKzGBYaBTaiUWAjHmz2IFa7lYSUBLYlbSMuKY62oW0dXWKZlG0lq6vWrFnDnXfeSf369WnQoAF33nknP/74482uTUREysPlVEjIf451sb0XAH2ahBEeUPykEFmbYsmOi8Nwd8f/sTFM2zUNgDEtxxDgEVDsMSIiIq4WV1qGtOSRlo/wcb+PS5x9r6Ipc3CaNm0aAwYMwM/Pj2eeeYann34af39/Bg0axLRp025FjSIicivtWwLWK9hDmjLtYP4aFiM6X6fbNCW/2xQ4YgSLLv1EUlYSYd5hPND0gXIrWUREpLyV+Va9yZMnM2XKFJ588t8P/z799NN07dqVv/zlL4W2i4iIE4j/HID9YXdx6ZSViABPejYq/p7zjNWruXLgABZvb9xGD+eTdflhaXyb8Xi6XnvachEREWdX5o5Teno6AwYMKLI9JiaG9PT0m1KUiIiUk6R9cDYeLK58eCH/XvN7OxQ/KYRpmiR//DEAQQ+NZt6Zb0jPTafBbQ24q/5d5Vq2iIhIeStzcLrrrrtYunRpke3ffvstgwcPvilFiYhIOdm1AICsOjGsPmHHYsC9HYu/TS9r40ZyDiRgeHuTe3cMCxLyj322/bNOuyaHiIhIaZX5Vr2mTZvyl7/8hXXr1hEVFQXA1q1biY2N5fnnn+fDDz8sGPv000/fvEpFROTmsubA7q8B+M71dgB6NQ6lxm1FH9bN7zbNBCDwvvv4v+NfkGvPpX1Ye7rX6F5+NYuIiDiIYZqmWZYD6tatW7o3NgyOHj16Q0XdSunp6QQEBJCWloa/v7+jyxERcZz9y2DRaEy/CDplTeVCto1ZI9sT0zy8yNCs7ds5OWo0hrs7xpKZ/HHzo5iYLBi0gFYhrcq/dhERkZugLNlA6ziJiFRVV9du+jViMBf22Aj186BPk+InhUi52m0KGHY3/3PiM0xM+tXup9AkIiJVxg2t4wSQnJxMSkrKzaxFRETKS9oZOLIGgBlpXQAY3jESV5eivxYu791L1ubN4OLCmbs6svHMRlwNV55p90y5liwiIuJIZQpOqampjB8/nuDgYMLCwggNDSU4OJgnn3yS1NTUW1SiiIjcdLu/BNPOlepd+OaEJ4aRP5tecZJnXu02DR7MtHP/AGBYo2HU9q9dbuWKiIg4Wqlv1bt48SJRUVGcOXOGBx54gKZNm2KaJgkJCcybN481a9awefNmAgMDb2W9IiLye9ntEJ8/I94arxgAujcMITLIu8jQK4cOkfnjGjAMzv6hCzt/eRU3ixuPtHykXEsWERFxtFJ3nN5++23c3d05cuQIM2fOZMKECTz77LPMmjWLX3/9FTc3N95+++0yFzB9+nTq1q2Lp6cn7du3Z+PGjaU6LjY2FldXV9q0aVPmzxQRqdJOxMKlY5jufkw+3hiAEZ2K7zalzPoEAL+YGKanfgvA3Q3vJtyn6AQSIiIilVmpg9OyZcv4+9//TlhYWJF94eHhvPvuu8Wu73Q9CxcuZMKECbzyyivEx8fTvXt3Bg4cyMmTJ697XFpaGqNGjaJv375l+jwREQHiPwfgdI0BnM4yCPb1oG/Ton+35548SfqKFQCcv6cbO5J24GpxZUyLMeVaroiISEVQ6uCUmJhI8+bNr7m/RYsWJCUllenD33//fcaMGcMjjzxC06ZNmTp1KpGRkcyYMeO6xz322GOMGDGiYB0pEREppcupcCC/czQnO3/9pT92qIlbMZNCpHwyG+x2fHr2YHr29wD8ocEfiPCNKLdyRUREKopSB6fg4GCOHz9+zf3Hjh2jWrVqpf7g3Nxcdu7cSUxMTKHtMTExbN68+ZrHffrppxw5coQ33nij1J8lIiJX7VsM1ivkBTVm/sn8v7Pv61j0Nr28pCRSly0D4OIfe7EtaRuuFlc92yQiIlVWqYPTgAEDeOWVV8jNzS2yLycnh9dee40BAwaU+oOTk5Ox2WxFbv0LCwu7Zufq8OHDTJw4kQULFuDqWrp5LXJyckhPTy/0EhGpsq6u3bTJbwCmadCtQTC1q/kUGZYydy7k5eHdsSMf2X8CYGiDoVT3rV6u5YqIiFQUpZ5V76233qJDhw40bNiQ8ePH06RJEwAOHDjA9OnTycnJ4fPPPy9zAYZhFPrZNM0i2wBsNhsjRozgrbfeolGjRqV+/8mTJ/PWW2+VuS4RkUonaR+cjce0uDH5TGsA7itmUgjrxYuk/mMRAKn33c7WxL/haqjbJCIiVVupg1PNmjXZsmULTzzxBJMmTcI0TSA/+PTr149p06YRGVn8rEzFCQ4OxsXFpUh36fz588VOQJGRkUFcXBzx8fE8+eSTANjtdkzTxNXVlVWrVtGnT58ix02aNInnnnuu4Of09PQy1SkiUmlcnRTiXEQfDh3xpJqPOzHNis6Od3H+Z5hXruDZsiVT3TYBMKTBEGr41ijXckVERCqSUgcngLp167Jy5UouXbrE4cOHAWjQoAFBQUFl/mB3d3fat2/P6tWr+cMf/lCwffXq1QwZMqTIeH9/f/bu3Vto2/Tp0/npp59YvHgxdevWLfZzPDw88PDwKHN9IiKVijUH9iwEYEFeDwDu6VATd9fCd2zb0tO5tCB/jaeM+/qxOfFDdZtEREQoY3D6TWBgIJ06dfrdH/7cc88xcuRIOnToQFRUFLNmzeLkyZOMGzcOyO8WnTlzhs8++wyLxUKLFi0KHR8aGoqnp2eR7SIi8l9++RdcvoTVtzrTT9UG4L6OtYoMu/Tll9gzM/Fo2IAPfOMgEwbXH0xNv5rlXbGIiEiFckPB6WYZPnw4KSkpvP322yQmJtKiRQtWrFhB7dr5v9QTExNLXNNJRERK4ef82/R23DYAW7KF6PrVqBtceFIIe3Y2F+fNByDr/oHEJs3AxXBhbKux5V6uiIhIRWOYvz2sVEWkp6cTEBBAWloa/v7+ji5HROTWSz0JU1sBJkNdP2JXZiDTRrTlzlaFZ8i7OH8+5yb/FbfISN5/oS4bkzYzpP4Q/l+3/+eYukVERG6xsmSDUk9HLiIiTmrXl4DJxZDO7MoMLHZSCHtuLilz5gJw5b6BbEzajIvhwqOtHnVAwSIiIhWPgpOISGVmt0N8/mQPi+y9AbinfdFJIdKWLsN6/jyuYWHMrHEIgDvq3UEt/6LPQYmIiFRFCk4iIpXZsXWQdhK7uz9Tzuavv3dfp8JhyLRaSZk9G4Dc4YNYd24TFsOibpOIiMh/UHASEanMrk4KsScohiume7GTQqSvXEneqVO4BAYyu85xAAbVHURt/9rlXa2IiEiFpeAkIlJZZV/Mn4YceD+5MwD3/3e3yW4neeZMAKx/HMiPFzaq2yQiIlIMBScRkcpq7yKw5ZIe0IQNmdWp5uNO/+aFJ4XIWLOG3F+PYPHzY27jswAMqDOAugHFLyouIiJSVSk4iYhURqZZcJvecktfwCgyKYRpmqR8nN9tst/dnx+SN2Fg8FirxxxRsYiISIWm4CQiUhkl7oJzezFdPPh7Umug6KQQWbGbubJ/P4aXF/ObpwAwoO4A6t1Wr7yrFRERqfAUnEREKqOr3aaDgT1JNX2LnRQi5eOPATDvup3vLm3EwGBcq3HlXqqIiIgzUHASEals8i7D3sUATEvtAhSdFCJ7506y4+Iw3NxY0CYTgP51+qvbJCIicg0KTiIilc2B5ZCTxmXvGnyX2YggH3dimocVGvLbTHoM6sO36Rv1bJOIiEgJFJxERCqb+Pzb9H5w74uJhXva18TD1aVg95VffiFrw0awWPi6wxUA+tXuR4PABg4pV0RExBkoOImIVCYXj8LxjZgY/P1cBwDu6xhZaEjK7DkAGH278U32ZgAea61uk4iIyPUoOImIVCbxCwA4cVtnTpvBRNWrRr0Q34LduadPk75iBQBLO5mYmPSr3Y9GgY0cUq6IiIizUHASEaks7DbY9SUAn2R0BeD+zoUnhbg491Ow2zE6t+Ur+1YAPdskIiJSCgpOIiKVxa9rIOMsue63sSirFUE+7vT/j0khrCkppC5ZAsDKrp6YmPSt1ZfGQY0dVbGIiIjTUHASEaks4j8DYL1Hb3JxKzIpxMUvvsDMycHSrBHzPOIAGNda6zaJiIiUhoKTiEhlkJUMB1cCMCWlM1B4Ugh7VhaXvvwKgPU9q2HHpGfNnjQJalL+tYqIiDghBScRkcpg99dgt5Lk25QD9lpFJoW4tGgR9rQ0LLVq8HHAzwCMbTXWUdWKiIg4HQUnERFnZ5oFazfNv9wDKDwphJmby8V58wGI61OTPMNG54jOtA5pXf61ioiIOCkFJxERZ3c6Di78gs3Fky+yOhaZFCLtX99hTUrCElyND8P2APBoy0cdVa2IiIhTUnASEXF2VyeF2ObZjQy8C00KYdrtpMzJX/D2wO31yLbk0SakDR3DOzqsXBEREWek4CQi4sxyMmHfNwD836UuQOFJITLXrSP3yBEMXx+mRiYA+c82GYZR/rWKiIg4MQUnERFnduBbyM0k1bMmW+xN6VIvqGBSCNM0SZn1CQDH+jTmousVmgY1pXuN7o6sWERExCkpOImIOLOrk0J8ndcDMBjRuXbBrss7d3J51y5wd+fD+kcAdZtERERulIKTiIizSj4MJ7dgGhY+zYom0Nut0KQQKZ/MBiCpRxNOe2ZRL6AefWv1dVS1IiIiTk3BSUTEWcXNBWC3ZyfOEVRoUogrBw+RuX49GAYfNT0FwCMtH8Fi6K99ERGRG6HfoCIizig3G3YtAODD9Pxnlu7r9O+1m1Lm5HebLnZpzEHfDGr61mRg3YHlX6eIiEgloeAkIuKM9i2BK2mkeVRnna01XeoFUf/qpBB5Z86Q/t0KAGa3SgZgTMsxuFpcHVauiIiIs1NwEhFxRnH5azN9Ye2DHQv3/2e3ad58sNnIbFWPuKBUQr1Duav+XY6qVEREpFJQcBIRcTZnfoaz8dgtbszJ6nZ1UohwAKyXLpG6eDEAn7fPBODhFg/j7uLusHJFREQqAwUnERFnc7XbtMWjGxfx596OkXi65U8KcemLBZiXL3OlfnXWhqUQ5BnE3Q3vdmS1IiIilYKCk4iIM7l8CfYuAeD91B5YDBjZJX/tJnt2Npe++AKAJZ3tYBiMajYKL1cvh5UrIiJSWSg4iYg4k11fgfUySZ712Wk24vamYdQM9AYgdfESbGlp5EUEszzyAn7ufgxvPNzBBYuIiFQOCk4iIs7CNAvWbpqZ3QsweCi6Tv6uvDxS5n0KwMoubpgWgwebPoivu69jahUREalkFJxERJzFsQ2QcphcF2/+kRtNozBfoupXAyB9xQqsZxOx3+bHwvrn8Xb15oGmDzi4YBERkcpDwUlExFnsyF/UdqXRgyy8GBVVB8MwME2TlNn5E0asi/Yjz81geOPhBHgEOLJaERGRSkXBSUTEGaQnwi/fATAjqxd+nq78oW0NADLXryfn8GFMb08+a3wODxcPRjUf5chqRUREKh0FJxERZ/DzZ2DaOOTRnF/MWtzbIRIfD1cAUmbnd6LiugSR7Wlwd8O7CfYKdmS1IiIilY6Ck4hIRWezws55AHyU0RPDgFFR+VOQZ/8cz+W4nZiuLsxudg5Xiyt/av4nBxYrIiJSOSk4iYhUdIe+h4yzZLnexkp7Z3o3DqV2NR/g392mAx1DueRncFf9u4jwjXBktSIiIpWSgpOISEV3dVKIr/N6kosbo69OQZ7z669k/vQTGAazWp7HYlgY02KMAwsVERGpvBScREQqspQjcHQtJgaf5vamXrAP3RvkP7+UPHMWAMfahJJYzWBAnQHU8q/lyGpFREQqLQUnEZGK7OqCt9td23HaDGVUVG0sFoPckydJ/y5/lr2ZbVIAGNtyrMPKFBERqewUnEREKqq8y7BrAQCzsnvh4+7CsPY1AUj55BOw2zndIoyj4dC3Vl8aBDZwZLUiIiKVmoKTiEhFtX8ZXL5Eiksoa+1tuad9Tfw83chLTCR12bcAzGp3EYCxrdRtEhERuZUUnEREKqqrk0LMzemFHQsjo+oAkDJnLuTlca5xCL/UMOlaoyvNqzV3YKEiIiKVn4KTiEhFlLgbzsRhM1xZaO1N94bBNAj1xZqcTOqiRQB80i4VgMdbP+7AQkVERKoGBScRkYpoxxwAVpudSCaA0Ve7TRfnzcPMySG5XhB7atvpWqMrrUNaO7BQERGRqkHBSUSkormSBnvzu0pzc/oSGeRF7yah2FJTufTlV/nb26eDYajbJCIiUk4UnEREKprdX0NeNscttdhuNmFUlzq4WAwufv4F9uxsLkUGEFffVLdJRESkHCk4iYhUJKZZcJve3JzeeLm5cm+HSGyZmVz8/HMA5nfIUrdJRESknCk4iYhUJCdiIfkgOYYnS23dGdq2BgHeblz66ivs6emkhfuxpZG6TSIiIuVNwUlEpCK52m1aao0mA29GR9fGfvkyFz+dB8CCjpcxLeo2iYiIlDcFJxGRiiLjHCT8E4DPrLfTpV4QTcL9SV20GNvFi2QGe7OxqbpNIiIijqDgJCJSUcR/BvY89tCIA2YdHoqugz03l5Q5+V2orzvkYnNRt0lERMQRFJxERCoCuw12zgdgXm4fqgd4cnvTMNKWLcN67hzZt3nyU0t1m0RERBxFwUlEpCI4vArSTpFu+PGdvQsPRtXGxbST8slsABZ3yMPqqm6TiIiIoyg4iYhUBFcnhfgqrwemqyf3daxF+ooV5J06xRU/D1a3Rt0mERERB1JwEhFxtIvH4NcfAfjS1pchrasT6OVK8sxZACxrbyXHXd0mERERR1JwEhFxtLg5gMlGeytOmOGMjq5DxuofyT1yhFxvN1a2g67V1W0SERFxJAUnERFHupwKcfMA+NQaQ4fagTSv7k/yzI8B+GdbO5c9DMa1Hue4GkVERETBSUTEoeLmQG4GR4hkrb0No6PrkLVhAzkHEsjzcOG7DvndpjahbRxdqYiISJWm4CQi4ih5l2FrfmdpWu6dhPh50b95GMkz8rd93wYyvdVtEhERqQgUnEREHGXXl5B1nnOWEP5pj+LBLrXJi4vj8q5d2FwtLO+kbpOIiEhFoeAkIuIINits/hCAGTkD8XD3YGSX2iR/nN9t+rE1pPmq2yQiIlJRKDiJiDhCwrdw6Tjphj8Lbb14MKo2Hof2k711K3YXg2WdDXWbREREKhAFJxGR8maasGkKALNzY7C7evNIt3qkfDwTgPUtDFIC1G0SERGpSBScRETK25E1kLSXK4YHn9n6cX+nWvidOkLm+vXYDYOlXdRtEhERqWgUnEREytumqQAsyOtDlos/j/WsR/LMWQBsaWaQFKRuk4iISEWj4CQiUp5Ox8HxjVhxYbZ1EPe0jyQo+SwZq1YB8E2Uuk0iIiIVkYKTiEh5uvps01JrV85bgnm8Z32SP5oOpsn2RhZOhajbJCIiUhEpOImIlJcLh+CX7wD42DaYIa2rE5J0jPQVKwBY1E3dJhERkYrK4cFp+vTp1K1bF09PT9q3b8/GjRuvOfabb76hX79+hISE4O/vT1RUFD/88EM5Visi8jts/gAwWWVrz1Fq8ETv+lx4P78Dtam5hRNh6jaJiIhUVA4NTgsXLmTChAm88sorxMfH0717dwYOHMjJkyeLHb9hwwb69evHihUr2LlzJ71792bw4MHEx8eXc+UiImWUdgZ2LwRghvUuBrWIIOLIPrJiY7G5GHzVQ90mERGRiswwTdN01Id37tyZdu3aMWPGjIJtTZs2ZejQoUyePLlU79G8eXOGDx/O66+/Xqrx6enpBAQEkJaWhr+//w3VLSJSZj+8Alumsc3ehOG5r7PiqW54PfMIV/btY2V7C5/GWPhy0Je0DGnp6EpFRESqjLJkA4d1nHJzc9m5cycxMTGFtsfExLB58+ZSvYfdbicjI4OgoKBbUaKIyM1x+RLsnAfkd5tubxpKzb1buLJvH7keFpZ0NRhYd6BCk4iISAXm6qgPTk5OxmazERYWVmh7WFgYSUlJpXqP9957j6ysLO69995rjsnJySEnJ6fg5/T09BsrWETkRu2YDbmZJNhrsc7emqXd63D+8VcBWNYRLvu580y7ZxxcpIiIiFyPwyeHMAyj0M+maRbZVpyvvvqKN998k4ULFxIaGnrNcZMnTyYgIKDgFRkZ+btrFhEptdxs2PoxADOsg+neMIQ629eQd+IkGb4u/KuTwYNNH6SGbw0HFyoiIiLX47DgFBwcjIuLS5Hu0vnz54t0of7bwoULGTNmDP/4xz+4/fbbrzt20qRJpKWlFbxOnTr1u2sXESm1XQsgO5lTZgjf2bswPqoGFz76CIB/RJl4+gfySKtHHFykiIiIlMRhwcnd3Z327duzevXqQttXr15NdHT0NY/76quveOihh/jyyy+54447SvwcDw8P/P39C71ERMqFzQqbPwRgpvVO2tUJpv76f2K7kMyFQAs/ts2fftzfXX8viYiIVHQOe8YJ4LnnnmPkyJF06NCBqKgoZs2axcmTJxk3Ln8dk0mTJnHmzBk+++wzID80jRo1ig8++IAuXboUdKu8vLwICAhw2PcQESnW/qWQepIU059Ftp580iGEi+PmAvBld6gZWId7G137GU0RERGpOBwanIYPH05KSgpvv/02iYmJtGjRghUrVlC7dm0AEhMTC63pNHPmTKxWK+PHj2f8+PEF20ePHs28efPKu3wRkWszTYidCsBc6wAa1wyh0eolXMrM5Hi4hc3NDKa0exY3FzfH1ikiIiKl4tB1nBxB6ziJSLk4vBoW3EOW6UlUzodM6d+YGk+PwszL4/8Nt+DapQPzBswr1WQ4IiIicmuUJRs4tOMkIlJpbZoCwBe2vlQPj6DJ91+TnpfH3toGe+oafNnhBYUmERERJ+Lw6chFRCqdU9vhRCx5uDDXOpBn61tIX74cgC97WRhYb5AWuxUREXEyCk4iIjfbpqkALLF2xyc4kqb/+gJMky1NDE7W1GK3IiIizkjBSUTkZjr/Cxz8DjsGs2x38nx4Nlnr12OzwFc9LVrsVkRExEkpOImI3EyxHwDwg60DOf71aPavzwFY09rgSoQWuxUREXFWCk4iIjdL2mnMvf8A4GPrYCb6n+fKrl3kuMHibhYtdisiIuLEFJxERG6WLR9h2K3E2ppz3qcJTb/7AoB/dTQIqK7FbkVERJyZgpOIyM2QdgYz7lMAPrYN5mWXY+QdPUqGFyzvbOFZLXYrIiLi1BScRERuhjVvYVgvs93emMOuLWm88isAvom20LRWe/rU6uPgAkVEROT30AK4IiK/16kdsGchdgzezhvJq+zHdv48F/xhVTuD+VrsVkRExOmp4yQi8nvY7fD9RAAWW3uQ6hJJgx+XALCwh4XbG2qxWxERkcpAHScRkd9j7yI4E0eW6cnfrMP5W148ZkYGJ0NgW0sPvtVityIiIpWCOk4iIjcqNwt+fBOAadahNLnNj/AfvwVgQS8LI1posVsREZHKQh0nEZEbtWkqZJzlpD2EubYBLD63CTMnhwORcKxZINNaarFbERGRykIdJxGRG5F6EnPzhwD8r/UBHgmz4fr9vwBY0MuFcW0e12K3IiIilYiCk4jIjVj9Bob1ClvtTdnu0pEhqz8F02RdS4PcZlrsVkREpLJRcBIRKasTW2D/NwXTj7+bswvb0aOk+cD8vhaeba/FbkVERCobBScRkbL4j+nHv7b2ItQtiBorFgIwp5+FNvW70SdSi92KiIhUNpocQkSkLHZ/BYm7SDe9eD/vHub9shisVrY3MtjX0o+l0W9qsVsREZFKSB0nEZHSysnAXPMWAP9n/QOPXzmBy8EDZHnAnBgLL3X6M+E+4Q4uUkRERG4FBScRkdLa+D5G5jmO2cNYf7kL0esWAfB5HwstmvRgaIOhjq1PREREbhndqiciUhqXjmNu+QgD+N+8Ebx5dCXk5LCvtsGODv4sjXpDt+iJiIhUYuo4iYiUxqrXMGw5bLI1JzTZjcBfdpPjCjMHWPhz54mE+YQ5ukIRERG5hRScRERKcnwTJCzHZhp8kHk3I35eCsDCHhaatOrFXfXvcnCBIiIicqvpVj0Rkeux2zBX/hkD+NLWl1HH9mDJyuLXcNjY1Z9vol7XLXoiIiJVgDpOIiLXE/85xrl9pJnebD3Tgga/7MBqgY/vcOHPXV4m1DvU0RWKiIhIOVBwEhG5litpmGv+B4Dp2Xcxdt8qAJZFGdRr35s7693pyOpERESkHOlWPRGRa9nwd4zsZI7YIwj7JQePjFROV4Mfe93G4i66RU9ERKQqUcdJRKQ4KUcwt84A4PMzfYk6vA078PEgF17q+goh3iGOrU9ERETKlYKTiEgxzFWvYtjz2JDTkv779gDwQ3uDmlF9GVR3kIOrExERkfKm4CQi8t+OrsM4uAKraeHA3trclpbMBX9YERPEa1Gv6RY9ERGRKkjBSUTkP9ms2FdOBGDp+a70OBIPwKyBFp7v8QrBXsGOrE5EREQcRMFJROQ/bZqC5UICF62+VPs5HcM0Wd/CILR3fwbUGeDo6kRERMRBFJxERH5zZC3m2r8AsHJfByLSLpDqDd8OCuKVzq/oFj0REZEqTMFJRAQg7Qzm4jEYmCxLiaLVoSMAzI2xMKHPa1TzqubgAkVERMSRFJxERKy5mIsewricwn5rLdx+tuNqt7GjoYF///70r9Pf0RWKiIiIgyk4iYisfh3j9HbSTW9+3NOOeimnyPKAxXcF8UrUq46uTkRERCoABScRqdr2fQPb8he6/fRQP2IObQdgdn8LT8W8QZBnkCOrExERkQpCwUlEqq4Lh7B/+yQAX5/pye27dwKwqJuB/5130K92P0dWJyIiIhWIq6MLEBFxiNws7AtHYsnLYvulRjTadgqL3c7G5gYH/9CG2dFvObpCERERqUAUnESk6jFNzH9OwJL8C0mXbyN3kwt+uZkk1ITv7qvLvL4f4eXq5egqRUREpALRrXoiUvXEzcHY+w9y8yzs2ViballpJN0Gs0cEM23AxwR6Bjq6QhEREalgFJxEpGo5sxP7ykmYJqzb1pLIixfI9IQp9/vw7l0ziPSLdHSFIiIiUgEpOIlI1ZF9EevXo7DYc9m2pxGRpy9gtcD7w9x4Ydj7tAhu4egKRUREpIJScBKRqsFux7ZkLK4Zp/n1SDgBCZkAzBxoYdjw1+lRs4eDCxQREZGKTMFJRKoEc+PfcTnyI5fOeXN5pwsAS6INmjz4OPc0usfB1YmIiEhFp+AkIpXfkbWw9n/JSXfheGwwrnaT2KYGVx76A+PbjHd0dSIiIuIENB25iFRuaWfI+8fDGDkG+zfUwCvXyqHqEP9IV6Z2exPDMBxdoYiIiDgBBScRqbysueR+PQrX7Ivs31gdr0wr526DZWObMi1mKm4WN0dXKCIiIk5CwUlEKi3rD6/idjaOo9uDcU2GLA+YOyqC94bMxMfNx9HliYiIiBPRM04iUimZuxfiumMmF/b7knvCHasFPr7XjzcfmE2Id4ijyxMREREno+AkIpXPtpmw9DFSj3uRss8fgHkD3Bk/dib1Auo5uDgRERFxRrpVT0QqD7sd+6pXsWz9iOzz7pzeHogL8G0XCwOe+TttQ9s6ukIRERFxUgpOIlI55F0mb/FY3A7+k9Qj3pzaGYir3WRbY4PIFyfRr3Y/R1coIiIiTkzBSUScX1YKOV8Mx/30Dk7G30bWr964YrKtkcGll0bzbPMHHV2hiIiIODkFJxFxbhePcmXe3bicO8EvsaGQ7IodWNjTQsRj43mm7ThHVygiIiKVgIKTiDivUzvI+fyP2M9mcjg2DNfLBlkeMGeYPw+OeZ+uNbo6ukIRERGpJBScRMQpmQeWY130CJmHXUj8OQRXO5wMgX8+0ozXh00jwjfC0SWKiIhIJaLgJCJOJy/2I4zvX+H0zwFcOeKNC7ClicGFZ4czpdvLuLm4ObpEERERqWQUnETEedhtZP9rEm6bPuHg5mAsyW7YDVjUx53Oz0/m4XqDHF2hiIiIVFIKTiLiHPIuk/Hln7BsW0PCllDcLlvI9ISFI2rwxKOzqHebFrYVERGRW0fBSUQqvqxkUufczeVtv5ISXw03u8HxUNjxdB/eHvI3vN28HV2hiIiIVHIKTiJSoZkpR0j/+C6SYrMxjwbgAsQ2s+D72ou81mY0hmE4ukQRERGpAhScRKRiyskge+M07KuncTTWG89kT+wGLOsfwOCXZ9IqtLWjKxQREZEqRMFJRCqWvMtkx87C9uP7JP9iJ/2QH565BulesPrhlowfO5NAz0BHVykiIiJVjIKTiFQMtjyyts4jb+U7JO3PI++wF65WA3fgSLjBuVdGManvi7hYXBxdqYiIiFRBCk4i4lh2G1k7vyJ76V9I3HcFyxEPXGxuuAJHw2HvoMb0fXASd1bv7OhKRUREpApTcBIRxzBNsnZ9Q9rCN0ncm4XnUXfcTE8AEiINTgztQL97X+SOkJYOLlREREREwUlEyptpkrX/B85/9grnd6fhf8INbzwA2FXPwqXhvbnzDy9xt38tBxcqIiIi8m8KTiJSbjIOruPM7IlcjE8h8LQr/rhhB3Y2ccX24FAG3/EMwV7Bji5TREREpAgFJxG5pcy0M5zbuYLEf80j++cLBCW5EIgrNgO2t/DE5+GRDLv9MXzcfBxdqoiIiMg1KTiJyM2Vk8H5+FWcXbOI9F/2QlIu/kkueOYZeOJCngtsa+tL9ceeYGT0g7i5uDm6YhEREZESKTiJyO9jy+Pi/o0c+f4L0vb/jOvZbG5LsuCRZxAC/PbXTIYn7GoXRJOnXmJMm8FYDIsjqxYREREpEwUnESkb0yT16C72L/+EtN3b8TiTQXCiga/VwBeA/HWW0r3gSKQ76c3qUbN3P1p1uYNHA2o7snIRERGRG+bw4DR9+nT+9re/kZiYSPPmzZk6dSrdu3e/5vj169fz3HPPsX//fqpXr85LL73EuHHjyrFikSrAZiXj3HHO7N1G0uF4MhOPYUu5gJGWgVfyFUITIcgKQQDkd47SveBYpDvpTetR6/Y7aRd1J519wxz5LURERERuGocGp4ULFzJhwgSmT59O165dmTlzJgMHDuTAgQPUqlV0KuJjx44xaNAgxo4dyxdffEFsbCxPPPEEISEhDBs2zAHfQMTJ2G3kZKeTnpzEqV92cOHX3WSfOY4t5QIuaRm4ZebilWnHJ9PEL8vAAoRdff23dC84VsudrMb1qBXzBzp2HUxnr8By/kIiIiIi5cMwTdN01Id37tyZdu3aMWPGjIJtTZs2ZejQoUyePLnI+D//+c8sX76chISEgm3jxo1j9+7dbNmypVSfmZ6eTkBAAGlpafj7+//+L/E77FyziONbv3NoDVIM+w1eElcvpYKj7fbfduRv++1SM00wC7YWjDXtNgybHdO0Xf3Znv8e//kyTYz/+DN2O0auFYvViiXPjiXPhovVjovVxNUKrnn5/3S7+nLPAzdb6b+S1QKpvpDuZyHLz5UrAd7Yw8Kp1e9uOve8Gx93zYQnIiIizqss2cBhHafc3Fx27tzJxIkTC22PiYlh8+bNxR6zZcsWYmJiCm3r378/c+bMIS8vDze3orNz5eTkkJOTU/Bzenr6Taj+5jj83Txarzjq6DKkispxhVQ/yPS1kO3nRm6AD2a1INzDI7mtbnNqNe9IvbrN8PHwdXSpIiIiIg7nsOCUnJyMzWYjLKzwTUBhYWEkJSUVe0xSUlKx461WK8nJyURERBQ5ZvLkybz11ls3r/CbyK1aGCeqH3N0GZWXceOH/t42rFnw2Uahf5j/tfk/x+e/DExL/gDTANOS/08Mo9g/m4YF090F080d090Nw8MDPD2xeHjj4umDm48vbr7+ePgG4ekfiE9gML63heFfLZRqQRG4WFx+5zcVERERqRocPjmEYRT+L0jTNItsK2l8cdt/M2nSJJ577rmCn9PT04mMjLzRcm+qYa/MhVccXYWIiIiIiJTEYcEpODgYFxeXIt2l8+fPF+kq/SY8PLzY8a6urlSrVq3YYzw8PPDw8Lg5RYuIiIiISJXksBUo3d3dad++PatXry60ffXq1URHRxd7TFRUVJHxq1atokOHDsU+3yQiIiIiInIzOCw4ATz33HPMnj2buXPnkpCQwLPPPsvJkycL1mWaNGkSo0aNKhg/btw4Tpw4wXPPPUdCQgJz585lzpw5vPDCC476CiIiIiIiUgU49Bmn4cOHk5KSwttvv01iYiItWrRgxYoV1K5dG4DExEROnjxZML5u3bqsWLGCZ599lo8++ojq1avz4Ycfag0nERERERG5pRy6jpMjVKR1nERERERExHHKkg0cequeiIiIiIiIM1BwEhERERERKYGCk4iIiIiISAkUnEREREREREqg4CQiIiIiIlICBScREREREZESKDiJiIiIiIiUQMFJRERERESkBApOIiIiIiIiJVBwEhERERERKYGCk4iIiIiISAkUnEREREREREqg4CQiIiIiIlICV0cXUN5M0wQgPT3dwZWIiIiIiIgj/ZYJfssI11PlglNGRgYAkZGRDq5EREREREQqgoyMDAICAq47xjBLE68qEbvdztmzZ/Hz88MwjOuOTU9PJzIyklOnTuHv719OFUp503mu/HSOqwad58pP57hq0Hmu/CrSOTZNk4yMDKpXr47Fcv2nmKpcx8lisVCzZs0yHePv7+/wkyq3ns5z5adzXDXoPFd+OsdVg85z5VdRznFJnabfaHIIERERERGREig4iYiIiIiIlEDB6To8PDx444038PDwcHQpcgvpPFd+OsdVg85z5adzXDXoPFd+znqOq9zkECIiIiIiImWljpOIiIiIiEgJFJxERERERERKoOAkIiIiIiJSAgUnERERERGRElT54DR9+nTq1q2Lp6cn7du3Z+PGjdcdv379etq3b4+npyf16tXj448/LqdK5fcoy3let24dhmEUef3yyy/lWLGUxYYNGxg8eDDVq1fHMAyWLVtW4jG6lp1LWc+xrmPnM3nyZDp27Iifnx+hoaEMHTqUgwcPlnicrmXnciPnWdezc5kxYwatWrUqWNw2KiqKlStXXvcYZ7mOq3RwWrhwIRMmTOCVV14hPj6e7t27M3DgQE6ePFns+GPHjjFo0CC6d+9OfHw8L7/8Mk8//TRLliwp58qlLMp6nn9z8OBBEhMTC14NGzYsp4qlrLKysmjdujXTpk0r1Xhdy86nrOf4N7qOncf69esZP348W7duZfXq1VitVmJiYsjKyrrmMbqWnc+NnOff6Hp2DjVr1uSvf/0rcXFxxMXF0adPH4YMGcL+/fuLHe9U17FZhXXq1MkcN25coW1NmjQxJ06cWOz4l156yWzSpEmhbY899pjZpUuXW1aj/H5lPc9r1641AfPSpUvlUJ3cbIC5dOnS647RtezcSnOOdR07v/Pnz5uAuX79+muO0bXs/EpznnU9O7/AwEBz9uzZxe5zpuu4ynaccnNz2blzJzExMYW2x8TEsHnz5mKP2bJlS5Hx/fv3Jy4ujry8vFtWq9y4GznPv2nbti0RERH07duXtWvX3soypZzpWq46dB07r7S0NACCgoKuOUbXsvMrzXn+ja5n52Oz2fj666/JysoiKiqq2DHOdB1X2eCUnJyMzWYjLCys0PawsDCSkpKKPSYpKanY8VarleTk5FtWq9y4GznPERERzJo1iyVLlvDNN9/QuHFj+vbty4YNG8qjZCkHupYrP13Hzs00TZ577jm6detGixYtrjlO17JzK+151vXsfPbu3Yuvry8eHh6MGzeOpUuX0qxZs2LHOtN17OroAhzNMIxCP5umWWRbSeOL2y4VS1nOc+PGjWncuHHBz1FRUZw6dYq///3v9OjR45bWKeVH13LlpuvYuT355JPs2bOHTZs2lThW17LzKu151vXsfBo3bsyuXbtITU1lyZIljB49mvXr118zPDnLdVxlO07BwcG4uLgU6TqcP3++SOr9TXh4eLHjXV1dqVat2i2rVW7cjZzn4nTp0oXDhw/f7PLEQXQtV026jp3DU089xfLly1m7di01a9a87lhdy86rLOe5OLqeKzZ3d3caNGhAhw4dmDx5Mq1bt+aDDz4odqwzXcdVNji5u7vTvn17Vq9eXWj76tWriY6OLvaYqKioIuNXrVpFhw4dcHNzu2W1yo27kfNcnPj4eCIiIm52eeIguparJl3HFZtpmjz55JN88803/PTTT9StW7fEY3QtO58bOc/F0fXsXEzTJCcnp9h9TnUdO2hSigrh66+/Nt3c3Mw5c+aYBw4cMCdMmGD6+PiYx48fN03TNCdOnGiOHDmyYPzRo0dNb29v89lnnzUPHDhgzpkzx3RzczMXL17sqK8gpVDW8zxlyhRz6dKl5qFDh8x9+/aZEydONAFzyZIljvoKUoKMjAwzPj7ejI+PNwHz/fffN+Pj480TJ06YpqlruTIo6znWdex8Hn/8cTMgIMBct26dmZiYWPDKzs4uGKNr2fndyHnW9excJk2aZG7YsME8duyYuWfPHvPll182LRaLuWrVKtM0nfs6rtLByTRN86OPPjJr165turu7m+3atSs0Hebo0aPNnj17Fhq/bt06s23btqa7u7tZp04dc8aMGeVcsdyIspznd955x6xfv77p6elpBgYGmt26dTO/++47B1QtpfXbVLX//Ro9erRpmrqWK4OynmNdx86nuPMLmJ9++mnBGF3Lzu9GzrOuZ+fy8MMPF/w3V0hIiNm3b9+C0GSazn0dG6Z59ekrERERERERKVaVfcZJRERERESktBScRERERERESqDgJCIiIiIiUgIFJxERERERkRIoOImIiIiIiJRAwUlERERERKQECk4iIiIiIiIlUHASEREREREpgYKTiIjcNOfPn+exxx6jVq1aeHh4EB4eTv/+/dmyZctN/ZyHHnqIoUOHlmqcYRhFXr/++is2m43o6GiGDRtW6Ji0tDQiIyN59dVXr/m+vXr1Kngvd3d36tevz6RJk8jJySnT9+jVqxcTJkwo0zEiIuIYro4uQEREKo9hw4aRl5fH/PnzqVevHufOnWPNmjVcvHjRYTUNGDCATz/9tNC2kJAQXFxcmD9/Pm3atGHBggU88MADADz11FMEBQXx+uuvX/d9x44dy9tvv01ubi47duzgT3/6EwCTJ0++NV9EREQcSh0nERG5KVJTU9m0aRPvvPMOvXv3pnbt2nTq1IlJkyZxxx13FIwzDIMZM2YwcOBAvLy8qFu3LosWLSr0Xnv37qVPnz54eXlRrVo1Hn30UTIzMwF48803mT9/Pt9++21B12fdunXXrOu3ztd/vlxcXABo2LAhkydP5qmnnuLs2bN8++23fP3118yfPx93d/frfl9vb2/Cw8OpVasWw4YNo1+/fqxatapgf0pKCvfffz81a9bE29ubli1b8tVXXxXsf+ihh1i/fj0ffPBBwfc4fvw4AAcOHGDQoEH4+voSFhbGyJEjSU5OLtV5EBGRW0PBSUREbgpfX198fX1ZtmxZibesvfbaawwbNozdu3fz4IMPcv/995OQkABAdnY2AwYMIDAwkB07drBo0SJ+/PFHnnzySQBeeOEF7r33XgYMGEBiYiKJiYlER0ffcN1PPfUUrVu3ZtSoUTz66KO8/vrrtGnTpkzvsXv3bmJjY3FzcyvYduXKFdq3b8+//vUv9u3bx6OPPsrIkSPZtm0bAB988AFRUVGMHTu24HtERkaSmJhIz549adOmDXFxcXz//fecO3eOe++994a/o4iI3ASmiIjITbJ48WIzMDDQ9PT0NKOjo81JkyaZu3fvLjQGMMeNG1doW+fOnc3HH3/cNE3TnDVrlhkYGGhmZmYW7P/uu+9Mi8ViJiUlmaZpmqNHjzaHDBlSYj2jR482XVxcTB8fn4LXPffcU2RcQkKCCZgtW7Y08/LySnzfnj17mm5ubqaPj4/p7u5uAqbFYjEXL1583eMGDRpkPv/884Xe55lnnik05rXXXjNjYmIKbTt16pQJmAcPHiyxNhERuTXUcRIRkZtm2LBhnD17luXLl9O/f3/WrVtHu3btmDdvXqFxUVFRRX7+reOUkJBA69at8fHxKdjftWtX7HY7Bw8eLHNNvXv3ZteuXQWvDz/8sMiYuXPn4u3tzbFjxzh9+nSp3veBBx5g165dbNmyhXvvvZeHH3640EQTNpuNv/zlL7Rq1Ypq1arh6+vLqlWrOHny5HXfd+fOnaxdu7agg+fr60uTJk0AOHLkSBm+uYiI3EyaHEJERG4qT09P+vXrR79+/Xj99dd55JFHeOONN3jooYeue5xhGACYplnw52uNKQsfHx8aNGhwzf1btmxhypQprFy5knfffZcxY8bw448/lvhZAQEBBe/7xRdf0Lx5c+bMmcOYMWMAeO+995gyZQpTp06lZcuW+Pj4MGHCBHJzc6/7vna7ncGDB/POO+8U2RcREVHS1xURkVtEHScREbmlmjVrRlZWVqFtW7duLfLzb12VZs2asWvXrkLHxMbGYrFYaNSoEQDu7u7YbLbfXdvly5cZPXo0jz32GLfffjuzZ89mx44dzJw5s0zv4+bmxssvv8yrr75KdnY2ABs3bmTIkCE8+OCDtG7dmnr16nH48OFCxxX3Pdq1a8f+/fupU6cODRo0KPT6zy6ciIiULwUnERG5KVJSUujTpw9ffPEFe/bs4dixYyxatIh3332XIUOGFBq7aNEi5s6dy6FDh3jjjTfYvn17weQPDzzwAJ6enowePZp9+/axdu1annrqKUaOHElYWBgAderUYc+ePRw8eJDk5GTy8vJuqOaJEydit9sLuju1atXivffe48UXXyyY4a60RowYgWEYTJ8+HYAGDRqwevVqNm/eTEJCAo899hhJSUmFjqlTpw7btm3j+PHjJCcnY7fbGT9+PBcvXuT+++9n+/btHD16lFWrVvHwww/flLAoIiI3RsFJRERuCl9fXzp37syUKVPo0aMHLVq04LXXXmPs2LFMmzat0Ni33nqLr7/+mlatWjF//nwWLFhAs2bNgPxpvn/44QcuXrxIx44dueeee+jbt2+h9xg7diyNGzemQ4cOhISEEBsbW+Z6169fz0cffcS8efMKdXLGjh1LdHQ0Y8aMwTTNUr+fu7s7Tz75JO+++y6ZmZm89tprtGvXjv79+9OrVy/Cw8OLLNr7wgsv4OLiQrNmzQgJCeHkyZNUr16d2NhYbDYb/fv3p0WLFjzzzDMEBARgsejXtoiIoxhmWX4riIiI/E6GYbB06dIiIUJERKQi0/+6EhERERERKYGCk4iIiIiISAk0HbmIiJQr3SEuIiLOSB0nERERERGREig4iYiIiIiIlEDBSUREREREpAQKTiIiIiIiIiVQcBIRERERESmBgpOIiIiIiEgJFJxERERERERKoOAkIiIiIiJSAgUnERERERGREvx/zV0mRcJKgJcAAAAASUVORK5CYII=",
       "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
+       "<Figure size 1000x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -378,7 +323,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -387,7 +332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -398,19 +343,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
+       "<Figure size 1000x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -439,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -455,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -478,7 +421,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -487,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -496,19 +439,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmEAAAFzCAYAAAB2A95GAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAABtPElEQVR4nO3dd3xUVdrA8d+ZyaRXkpAKJJQQAgkJhN5BOjZEwRULyrKsZXVdX8vu2tay6mJvLKIoigKKDQUFhEjvCYEQaggQCCQESK8z5/0jgaUESMhMZoDn+/nMm5l7zz33uXN25HnPPfccpbVGCCGEEEI0LoO9AxBCCCGEuBZJEiaEEEIIYQeShAkhhBBC2IEkYUIIIYQQdiBJmBBCCCGEHUgSJoQQQghhB072DqC+AgICdEREhM3PU1xcjIeHh83PI+pO2sTxSJs4JmkXxyNt4pgao102bdp0TGsdWNu+Ky4Ji4iIYOPGjTY/T1JSEv3797f5eUTdSZs4HmkTxyTt4nikTRxTY7SLUmr/hfbJ7UghhBBCCDuQJEwIIYQQwg4kCRNCCCGEsIMrbkyYEEIIIRqmsrKSrKwsysrK7B2KXfn4+JCenm6VulxdXQkPD8dkMtX5GEnChBBCiGtMVlYWXl5eREREoJSydzh2U1hYiJeXV4Pr0VqTl5dHVlYWkZGRdT5ObkcKIYQQ15iysjL8/f2v6QTMmpRS+Pv717tnUZIwIYQQ4hokCZh1Xc73KUmYEEIIIYQdSBImhBBCCGEHkoQJIYQQolE98cQTfPDBB6c/P/fcc7z++ut2jMg+5OlIIYQQ4hr2/Pw0th8usGqdMaHePHt9+wvuHzduHI888gj3338/AHPnzuWXX36xagxXAknCzlFRVkrW9m1UlZXaOxQhhBDiqpSQkEBOTg6HDx8mNzcXPz8/mjdvbu+wGp0kYec4fiiL7159nsjBo+wdihBCCGFzF+uxsqUxY8bwzTffcOTIEcaNG2eXGOxNkrBzNI1oicnFlaLsLHuHIoQQQly1xo0bxx//+EeOHTvG77//bu9w7EIG5p/DYDQSEhVNUfYhe4cihBBCXLXat29PYWEhYWFhhISE2Dscu7BZEqaU+kQplaOU2naRMv2VUilKqTSllMOkweHR7SnNy6WsuMjeoQghhBBXra1bt7Js2TJ7h2E3tuwJ+xQYdqGdSilf4APgBq11e+BWG8ZSL2HRMQBk79ph50iEEEIIcbWyWRKmtV4OHL9IkT8A32qtD9SUz7FVLPUV0rotGAxk7UizdyhCCCGEuErZc2B+FGBSSiUBXsDbWuuZtRVUSk0CJgEEBQWRlJRk8+Bc/QLYvm4N5pAWNj+XqJuioqJGaXtRd9ImjknaxfE4Wpv4+PhQWFho7zDszmw2W/V7KCsrq1c72zMJcwI6A4MAN2CNUmqt1nrXuQW11tOAaQCJiYm6f//+Ng8ua3USx7ZvoXevXjiZTDY/n7i0pKQkGqPtRd1JmzgmaRfH42htkp6ejpeXl73DsLvCwkKrfg+urq4kJCTUubw9n47MAn7RWhdrrY8By4GOdoznLJ4hYZgrKzm6d7e9QxFCCCHEVcieSdgPQB+llJNSyh3oBqTbMZ6zeASHAci4MCGEEELYhM1uRyqlvgL6AwFKqSzgWcAEoLWeqrVOV0r9AqQCFmC61vqC01k0NpObO01Cwzm8c7u9QxFCCCHEVciWT0ferrUO0VqbtNbhWuuPa5KvqWeU+Y/WOkZr3UFr/ZatYrlcYe3ac2jndrTFYu9QhBBCCFEjKSmJUaMub3nBhhxrbTJj/kWEtY2hvLiYY1kH7B2KEEIIIa4ysnbkRYS3q17U9FB6GoHNI+wbjBBCCGELC5+EI1utW2dwLAx/5aJFZs6cyZQpU1BKERcXx2233caLL75IRUUF/v7+zJo1i6CgIH7//XcefvhhAJRSLF++HKie9mPMmDFs27aNzp0788UXX6CUqvVcv/zyC4888ggBAQF06tTp9Pbjx49z5513kpGRgbu7O9OmTSMuLo7nnnuOffv2kZ2dza5du3jjjTdYu3YtCxcuJCwsjPnz52OywswJ0hN2Ed6BQXj6NeGQjAsTQgghrCYtLY2XXnqJpUuXsmXLFt5++2169+7N2rVrSU5OZty4cbz22msATJkyhffff5+UlBRWrFiBm5sbAMnJybz11lts376djIwMVq1aVeu5ysrK+OMf/8j8+fNZsWIFR44cOb3v5ZdfJiEhgdTUVF5++WXuuuuu0/v27t3Lzz//zA8//MD48eMZMGAAW7duxc3NjZ9//tkq34P0hF2EUoqw6PZk7UhDa33BDFsIIYS4Yl2ix8oWli5dypgxYwgICACgSZMmbN26lbFjx5KdnU1FRQWRkZEA9OrVi0cffZQ77riD0aNHEx4eDkDXrl1Pv4+PjyczM5PevXufd64dO3YQGRlJmzZtABg/fjzTpk0DYO3atXz33XcADBw4kLy8PPLz8wEYPnw4JpOJ2NhYzGYzw4ZVr8QYGxtLZmamVb4H6Qm7hLDoGIryjlF4LNfeoQghhBBXhdo6Nh566CEefPBBtm7dyn//+1/KysoAePLJJ5k+fTqlpaV0796dHTuq13V2cXE5fazRaKSqquqC57tQJ4rW+oJlT9VvMBgwmUyntxsMhoueqz4kCbuEsOjqcWEyX5gQQghhHYMGDWLu3Lnk5eUB1WOz8vPzCQurnqPzs88+O1127969xMbG8sQTT5CYmHg6Caur6Oho9u3bx969ewH46quvTu/r2bMns2bNAqqfmgwICMDb27tB11YfkoRdQkDzFji7uXNIkjAhhBDCKtq3b88//vEP+vXrR8eOHXn00Ud57rnnuPXWW+nTp8/p25QAb731Fh06dKBjx464ubkxfPjwep3L1dWVadOmMXLkSHr37k2LFv9bE/qpp55i48aNxMXF8eSTT56V/DUGGRN2CQaDkbC27Ti0QwbnCyGEENZy9913c/fdd5+17cYbbzyv3Lvvvnvetv79+5+1Fud777130XMNGzas1h60Jk2a8MMPP5y3/bnnnjvrc1FR0QX3NYT0hNVBWHR78rIOUFpYYO9QhBBCCHGVkCSsDsKiYwA4tNNhlrYUQgghxDluvvlm4uPjz3r9+uuv9g7rguR2ZB0Et4rC6OTEoR1ptE7sZu9whBBCCFGLU9NNXCmkJ6wOnJydCWoVJYPzhRBCCGE1koTVUVh0DEcz9lJZXmbvUIQQQghxFZAkrI7Co9tjMVdxZM8ue4cihBBCiKuAJGF1FBrVDpSSqSqEEEIIYRWShNWRq6cnAc1ayMz5QgghhJ0lJSUxatSoOpdfsWIF7du3Jz4+ntLSUhtGVj+ShNVDWNsYDu/agcVstncoQgghhKijWbNm8dhjj5GSkoKbm9sly5sb6d95maKiHsLatWfL4gXk7t9HUMvW9g5HCCGEaLBX17/KjuP1W4/xUqKbRPNE1ycuWmbmzJlMmTIFpRRxcXHcdtttvPjii1RUVODv78+sWbMICgri999/5+GHHwaqF9devnw5UD2L/ZgxY9i2bRudO3fmiy++qHWh7unTpzN37lx+/fVXlixZwhdffMHjjz/OwoUL0VrzzDPPMHbsWJKSknj++ecJCQkhJSWF7dttP/xIkrB6CGt7atLW7ZKECSGEEJcpLS2Nl156iVWrVhEQEMDx48dRSrF27VqUUkyfPp3XXnuN119/nSlTpvD+++/Tq1cvioqKcHV1BSA5OZm0tDRCQ0Pp1asXq1atonfv3ueda+LEiaxcuZJRo0YxZswY5s2bR0pKClu2bCEzM5MBAwbQt29fANavX8+2bduIjIxslO9BkrB68A4IxDuwKYfS0+g0/AZ7hyOEEEI02KV6rGxh6dKljBkz5vRC3U2aNGHr1q2MHTuW7OxsKioqTidCvXr14tFHH+WOO+5g9OjRhIeHA9C1a9fT7+Pj48nMzKw1CTvXypUruf322zEajTRt2pR+/fqxYcMGvL296dq1a6MlYCBjwuotrG0Mh3ZuR2tt71CEEEKIK5LW+rxbhw899BAPPvggW7du5b///S9lZdXzcj755JNMnz6d0tJSunfvfnohbhcXl9PHGo1Gqqqq6nzuC/Hw8KjvpTSIJGH1FBbdnuKTJzh5NNveoQghhBBXpEGDBjF37lzy8vIAOH78OPn5+YSFhQHw2WefnS67d+9eYmNjeeKJJ0hMTDydhF2uvn37MmfOHMxmM8eOHWP58uV07dq1QXVeLrkdWU/h7doDcGjHdvyCQ+0cjRBCCHHlad++Pf/4xz/o168fRqORhIQEnnvuOW699VbCwsLo3r07+/btA+Ctt95i2bJlGI1GYmJiGD58OGvWrLnsc998882sWbOGjh07orXmtddeIzg4uMHJ3eVQV9pttcTERL1x40abnycpKYn+/fuft11bLHzwxzto3aU7Qyc/bPM4xP9cqE2E/UibOCZpF8fjaG2Snp5Ou3bt7B2G3RUWFuLl5WW1+mr7XpVSm7TWibWVl9uR9aQMBsKiY2TmfCGEEEI0iNyOvAxhbWPYu3EdxSdP4OHrZ+9whBBCCEH1rcZTtzFPefXVVxk6dKidIro4ScIuQ1h09biwwzvTadOtp52jEUIIIQTAd999Z+8Q6sVmtyOVUp8opXKUUtsuUa6LUsqslBpjq1isLahlK5ycXWQdSSGEEEJcNluOCfsUGHaxAkopI/Aq8KsN47A6o5OJkNZRMi5MCCGEEJfNZkmY1no5cPwSxR4C5gE5torDVsKiY8jJ3EtFmeOsxi6EEEKIK4fdxoQppcKAm4GBQJdLlJ0ETAIICgoiKSnJ5vEVFRVd9DwFFWa0xcIv38zFO7yFzeMRl24T0fikTRyTtIvjcbQ28fHxobCw0N5h2J3ZbLbq91BWVlavdrbnwPy3gCe01ubaVj0/k9Z6GjANqucJa4y5Vi41p0t5SQl7fv4Wf2cnejnQ3C9XM0ebZ0dImzgqaRfH42htkp6ebtX5saxp4sSJPProo8TExFi97oiICDZu3Hh6zUprzxPm6upKQkJCncvbMwlLBGbXJGABwAilVJXW+ns7xlRnLu7uNI1sxcG0LcAd9g5HCCGEuCpMnz7d3iE0GrslYVrr08uUK6U+BX66UhKwUyI6dmL9D19TVlyEq4envcMRQggh6u3Iyy9Tnm7dJXtc2kUT/Pe/X7RMZmYmw4YNo1u3biQnJxMVFcXMmTMZMWIEU6ZMITExEU9PT/70pz+xbNky/Pz8mD17NoGBgbzzzjtMnToVJycnYmJimD17dq3nyMvL4/bbbyc3N5euXbuetXj3G2+8wfTp0zEYDEycOJFHHnnkdEy9e/dm7dq1dOzYkQkTJvDss8+Sk5PDrFmzrLrOpC2nqPgKWAO0VUplKaXuU0pNVkpNttU5G1tkfGe0xcKBrSn2DkUIIYS44uzcuZNJkyaRmpqKt7c3H3zwwVn7i4uL6dSpE5s3b6Zfv348//zzALzyyiskJyeTmprK1KlTL1j/888/T+/evUlOTuaGG27gwIEDAGzatIkZM2awdOlS1q5dy0cffURycjIAe/bs4eGHHyY1NZUdO3bw5ZdfsnLlSqZMmcLLL79s1eu3WU+Y1vr2epS9x1Zx2FJIm7a4eHiwL2UTUd172zscIYQQot4u1WNlS82aNaNXr14AjB8/nnfeeees/QaDgbFjx57eP3r0aADi4uK44447uOmmm7jpppsuWP/y5cv59ttvARg5ciR+ftWr3KxcuZKbb74ZDw8PPD09GT16NCtWrOCGG24gMjKS2NhYoHqh8UGDBqGUIjY2lszMTGtevqwd2RAGo5EWsQlkpmziSlsIXQghhLC3cx/Mu9SDeqf2//zzzzzwwANs2rSJzp07U1VVVedzABf9N9vFxeX0e4PBcPqzwWC46HkuhyRhDRQZ35miE8fJ3b/v0oWFEEIIcdqBAwdYs2YNAF999RW9e599V8lisfDNN98A8OWXX9K7d28sFgsHDx5kwIABvPbaa5w8eZKioqJa6+/bty+zZs0CYOHChZw4ceL09u+//56SkhKKi4v57rvv6NOnj60u84IkCWugiPjOAGRu2WznSIQQQogrS7t27fjss8+Ii4vj+PHj/PnPfz5rv4eHB2lpaXTu3JmlS5fyzDPPYDabGT9+PLGxsSQkJPDXv/4VX1/fWut/9tlnWb58OZ06dWLRokU0b94cgE6dOnHPPfcwYMAAunXrxsSJE+s1tYS1yALeDeTp14TAiJbsS9lI1xuvmOUvhRBCCLszGAznDaw/d7LTF154gRdeeOGsbStXrqxT/f7+/ixatOj05zfffPP0+0cffZQ//vGPZ80TFhERwbZt/1vy+tNPP73gPmuQnjAriIzvzOGd6ZSXlNg7FCGEEEJcISQJs4LIjp2xmM0yVYUQQghRR3XpWbrQWK9zzZgxg/j4+LNeDzzwgDXCtCm5HWkFIVHROLu5sy9lI2269bR3OEIIIcQ1ZcKECUyYMMHeYdSb9IRZgdHJiRZx8eyTqSqEEEIIUUeShFlJZHwiRcfzOHZwv71DEUIIIcQVQJIwK4mI7wRAZsomO0cihBBCiCuBJGFW4tUkgMDmEeyTJEwIIYQQdSBJmBVFxHfm0I7tVJTKVBVCCCHE5Zg4cSLbt2+3Sl3l5eVcd911xMfHM2fOHKvUaU3ydKQVRcZ3ZsOP89i/bQttuvSwdzhCCCHEFWf69OlWqys5OZnKykpSUlLqfIzZbMZoNFothouRJMyKQtvG4OzmRmbyJknChBBCXBFWzN3FsYN1m4+rrgKaedLntqiLlsnMzGTYsGF069aN5ORkoqKimDlzJiNGjGDKlCkkJibi6enJn/70J5YtW4afnx+zZ88mMDCQd955h6lTp+Lk5ERMTAyzZ88+r/6cnBzGjx9Pbm4u8fHxzJs3j8zMTB577DGqqqro0qULr732Gl5eXkRERHDvvfeyaNEiHnzwQcaNG2fV7+NC5HakFRmdnGjeQaaqEEIIIepi586dTJo0idTUVLy9vfnggw/O2l9cXEynTp3YvHkz/fr14/nnnwfglVdeITk5mdTU1POWPTqladOmTJ8+nT59+pCSkkJYWBj33HMPc+bMYevWrVRVVZ3V6+bq6srKlSsbLQED6QmzusiEzuzZsIa8rAMENGth73CEEEKIi7pUj5UtNWvWjF69egEwfvx43nnnnbP2GwwGxo4de3r/6NGjAYiLi+OOO+7gpptu4qabbqrTuXbu3ElkZCRRUdXXe/fdd/P222+f3n/qPI1JesKsLKJjZ0CmqhBCCCEuRSl10c8XKv/zzz/zwAMPsGnTJjp37kxVVdUlz3WpO1QeHh6XrMPaJAmzMu+AQPzDm8tUFUIIIcQlHDhwgDVr1gDw1Vdf0bt377P2WywWvvnmGwC+/PJLevfujcVi4eDBgwwYMIDXXnuNkydP1mmNyejoaDIzM9mzZw8An3/++eleOHuRJMwGIhMSObQjjYqyUnuHIoQQQjisdu3a8dlnnxEXF8fx48f585//fNZ+Dw8P0tLS6Ny5M0uXLuWZZ57BbDYzfvx4YmNjSUhI4K9//Su+vr6XPJerqyszZszg1ltvJTY2FoPBwH333WejK6sbGRNmA5Hxndk4/1sObEuldWI3e4cjhBBCOCSDwXDewPqkpKSzPr/wwgu88MILZ21buXJlnerv378//fv3P/150KBBJCcnn/5cWFgIVD+paQ/SE2YDYdExmFzdyEzZaO9QhBBCCOGgpCfMBoxOJpp36Hh6qopLDTQUQgghrjURERFs27btomXqMtYLYMaMGWc96QjQq1cv3n///cuOrzFIEmYjkfGd2LtxLccPZeEf3sze4QghhBBXrQkTJjBhwgR7h1FvcjvSRiLjEwHI3CJPSQohhBDifJKE2Yh3YFOahDWTqSqEEEIIUStJwmwoMr4zWdu3UllWZu9QhBBCCOFgJAmzocj4RMxVVRxIS7V3KEIIIYRwMDZLwpRSnyilcpRStT76oJS6QymVWvNarZTqaKtY6quy3Iy2NHwB7rB27XFycZFbkkIIIUQDpKSksGDBgnodExERwbFjx2wUkXXYsifsU2DYRfbvA/ppreOAF4BpNoylzo7sy+eTx1ZQnNPwupxMJpq3jyMzZeMl16wSQgghRO0uJwm7Ethsigqt9XKlVMRF9q8+4+NaINxWsdSHf5gnKCjIsk7SFBmfSMbmDZzIPkyT0DCr1CmEEEJYy7JPp5GzP8OqdTZt0ZIB90y6aJnMzEyGDRtGt27dSE5OJioqipkzZ5KWlsbDDz9McXExLi4uLF68mGeeeYbS0lJWrlzJU089xdixY8+rLy8vj9tvv53c3Fy6du16VufHG2+8wSeffALAxIkTeeSRR8jMzGTIkCH07duXtWvX0rFjRyZMmMCzzz5LTk4Os2bNomvXrlb9Xs7lKGPC7gMW2jsIAJOzkebt/SnMwiq3JCMTOgPI7PlCCCHEOXbu3MmkSZNITU3F29ub9957j7Fjx/L222+zZcsWlixZgoeHB//6178YO3YsKSkptSZgAM8//zy9e/cmOTmZG264gQMHDgCwadMmZsyYwbp161i7di0fffTR6aWLMjIyePjhh0lNTWXHjh18+eWXrFy5kilTpvDyyy/b/PrtPlmrUmoA1UlY74uUmQRMAggKCjpvXSlrK3fRVJXBwm+TcA9o+Gz3Lr5N2LR0MQXuPlaI7tpVVFRk87YX9SNt4pikXRyPo7WJj4/P6XUTE2+53SbnOFX/hRQVFREeHk5cXByFhYWMHj2aKVOm0LRpU6KjoyksLEQpRWlpKWVlZVRUVFy0zqSkJL744gsKCwvp27cvvr6+FBUVsWTJEkaMGIHFYgFg5MiRLF68mBEjRtCiRQsiIiIoLi4mKiqKnj17UlRURGRkJBkZGZe8hnOVlZXVq53tmoQppeKA6cBwrXXehcppradRM2YsMTFRn7kYpy2Ul1Qyfd0KfFUzevZv3eD69P7dbFm8gJ7du+Hs6maFCK9NSUlJ2LrtRf1ImzgmaRfH42htkp6ejpeXl11j8PT0xGAwnI7D3d0dPz8/cnNzz4vN1dUVZ2fni8Z8qq5TZZRSeHp64uLigouLy+ntLi4uuLq6nt535nZfX1+8vLzw9vbGYrHU+ztydXUlISGhzuXtdjtSKdUc+Ba4U2u9y15x1MbF3YRHEGSk5FplQH2bLj0wV1aSsWm9FaITQgghrg4HDhxgzZo1AHz11Vd0796dw4cPs2HDBqC6N62qqgovL69L9kr17duXWbNmAbBw4UJOnDhxevv3339PSUkJxcXFfPfdd/Tp08eGV1V3tpyi4itgDdBWKZWllLpPKTVZKTW5psgzgD/wgVIqRSnlUIOmvMMV+bmlHD9c3OC6wqJj8PBrws41K60QmRBCCHF1aNeuHZ999hlxcXEcP36chx56iDlz5vDQQw/RsWNHBg8eTFlZGQMGDGD79u3Ex8czZ86cWut69tlnWb58OZ06dWLRokU0b94cgE6dOnHPPffQtWtXunXrxsSJE+vVW2VLtnw68qI3mbXWE4GJtjp/Q3mFQfam6t4w/zDPBtWlDAaiuvcidckvlJeU4OLubqUohRBCiCuXwWBg6tSpZ23r0qULa9euPa/sqd6xC/H392fRokWnP7/55pun3z/66KM8+uijZ5WPiIhg3bp1pz9/+umnZ+3btq3WaU6tylGejnQ4JjdFSEsf9ibnWqW+tt371NySXHfpwkIIIYS46kkSdhGR8YHkZRWRn1va4LpCo6Lx9A9g51q5JSmEEEJcbm/TjBkziI+PP+v1wAMP2CBC27P7FBWOrGV8IKvn7SEjJZeEwc0bVJcyGGjbvRcpv/5MWXERrh4Nu8UphBBCXIsmTJjAhAkT7B2GVUhP2EX4BLrhH+7JvhTr3JKM6t4Hc1UVezfKLUkhhBDiWidJ2CW0SggkOyOf4vzyBtcV0qYtXgGB7JJbkkIIIcQ1T5KwS2gZHwga9m1p+ErsSina9uhD5pZkyoqKrBCdEEIIIa5UkoRdQpNQD3wC3ax2S7Jtjz5YzFXs2bDGKvUJIYQQ4sokSdglKKVoGR9I1o4TlJdUNri+oJat8WkaJE9JCiGEEHWUkpLCggULLlqmvLyc66677qITujoaScLqoGVCIBaLJnPrBZe3rDOlFFE9+nBgawqlhQVWiE4IIYS4utUlCUtOTqayspKUlBTGjh1bp3rNZrM1wrtsMkVFHQRFeOPu40xGSi5tuwU3uL62Pfqw4Ydv2L1+DXGDhlohQiGEEOLynJy/lworLNF3JudQD3yvb3XRMpmZmQwbNoxu3bqRnJxMVFQUM2fOJC0tjYcffpji4mJcXFxYvHgxzzzzDKWlpaxcuZKnnnrqvCQrJyeH8ePHk5ubS3x8PPPmzSMzM5PHHnuMqqoqunTpwocffoiLiwsRERHce++9LFq0iPvuu8+u011IT1gdKIOiZcdADqTlUVnR8Ky5aURLfIND5ClJIYQQ17SdO3cyadIkUlNT8fb25r333mPs2LG8/fbbbNmyhSVLluDh4cG//vUvxo4de8FerqZNmzJ9+nT69OlDSkoKYWFh3HPPPcyZM4etW7dSVVXFhx9+eLq8q6srK1euZMyYMY15ueeRnrA6apkQyLblhzi4/Xj1E5MNcOopyfU/fENJQT7u3j5WilIIIYSon0v1WNlSs2bN6NWrFwDjx4/npZdeIiQkhC5dugDg7e19WfXu3LmTyMhIoqKiALj77rt5//33eeSRRwDqfLvS1qQnrI5Co3xxcXciw4pPSWqLhd3rVlulPiGEEOJKo5Q667O3t/d52y6H1vqi+z08PBp8DmuQJKyOjEYDEXEBZKYew2y2NLi+gOYR+IWGs2vtCitEJ4QQQlx5Dhw4wJo11VM2ffXVV3Tv3p3Dhw+zYcMGAAoLC6mqqsLLy4vCwsI61xsdHU1mZiZ79uwB4PPPP6dfv37Wv4AGkiSsHlrGB1JeUsXhXScbXFf1LcneHEzbRvHJEw0PTgghhLjCtGvXjs8++4y4uDiOHz/OQw89xJw5c3jooYfo2LEjgwcPpqysjAEDBrB9+/Y6Tz/h6urKjBkzuPXWW4mNjcVgMDB58uRGuKL6kTFh9dAspglOzgYyknNp1q5Jg+tr26MPa+fNZve61cQPHWmFCIUQQogrh8FgYOrUqWdt69KlC2vXrj2v7KnesQvp378//fv3P/150KBBJCcnn1cuMzPzsmK1BekJqweTs5Hm7f3J2JKLtlz8fnNdBDRrgX94c3bKLUkhhBDimiNJWD21jA+kJL+Co5nWmWi1bY8+ZKWnUXS84RPBCiGEEFeKiIgItm3bVu/jZsyYQXx8/FmvBx54wAYR2p7cjqyniFh/DAZFRnIuwS0bPrVEVPferP56FrvWrabT8OutEKEQQghxaVprqzyJ2NgmTJhg1wlWL+RST2TWRnrC6snF3UR4tB97U3Iv6ws/l394MwKaR8hTkkIIIRqNq6sreXl5Vvl3TFQnYHl5ebi6utbrOOkJuwyR8YH8/uVOjh8uxj/Ms8H1te3Rh1VzPqcw7xhe/gFWiFAIIYS4sPDwcLKyssjNtc7cl1eqsrKyeidOF+Lq6kp4eHi9jpEk7DJEdgzg9692kpGSa5UkLKp7b1bN+Zxda1fReeSNVohQCCGEuDCTyURkZKS9w7C7pKQkEhIS7HZ+uR15GTx8XAhp6cPeZOv8fxBNQsMIjGgpT0kKIYQQ1xBJwi5TZHwgeVlF5OeWWqW+tj36kL1rBwXHcqxSnxBCCCEcmyRhl+nUIt5WW0uye28Adq1ZaZX6hBBCCOHYJAm7TD6BbgQ082T3hqNWqc83OISglq3ZuVaSMCGEEOJaIElYA0T3CCH3QCHHsuq+qOjFtO3RhyN7dpGfc8Qq9QkhhBDCcUkS1gBtuwZjcFKkr862Tn09+gCwfcUyq9QnhBBCCMdlsyRMKfWJUipHKVXrmgSq2jtKqT1KqVSlVCdbxWIrrp4mIuMC2bXuKOZKS4Pr8w5sSvMOHdm2bAna0vD6hBBCCOG4bNkT9ikw7CL7hwNtal6TgA9tGIvNtOsVQllxJftSj1mlvthBQynIPcr+rSlWqU8IIYQQjslmSZjWejlw/CJFbgRm6mprAV+lVIit4rGVZu2a4OHrYrVbkq279MDVy5utv/1qlfqEEEII4ZjsOWN+GHDwjM9ZNdvOy2aUUpOo7i0jKCiIpKQkmwdXVFRU5/O4hVo4sL2cxQuWYXJv+GKo3i3bsHvDGhYv+BmTu0eD67ta1KdNROOQNnFM0i6OR9rEMdm7XeyZhNWWrdS6kqjWehowDSAxMVH379/fhmFVS0pKoq7nyW9fwhdPr8VPRZLYP6LB585r3YpP//ZnfKvK6NJ/ZIPru1rUp01E45A2cUzSLo5H2sQx2btd7Pl0ZBbQ7IzP4cBhO8XSID6B7oRF+ZK+OtsqK9L7hzcjLDqGrUsXyQr3QgghxFXKnknYj8BdNU9JdgfytdbWGVhlB+16hlCQW0r2npNWqS924FBOZB8iK73Wh0uFEEIIcYWz5RQVXwFrgLZKqSyl1H1KqclKqck1RRYAGcAe4CPgflvF0hhadmqKydVI+irr5JFR3Xvh4u4hA/SFEEKIq5TNxoRprW+/xH4NPGCr8zc2k7ORNl2C2LXuCH3GRuHs1rCv1uTiSrs+/dm6dBEDJvwJN08vK0UqhBBCCEcgM+ZbUbueIVRVWNizKccq9cUOHIq5spJ0mUFfCCGEuOpIEmZFQRHe+IV4sH2VdZ4vaBrRkuBWbdj6268yQF8IIYS4ykgSZkVKKdr1DOHovgKOHy62Sp2xg4Zy7OB+snfvtEp9QgghhHAMkoRZWdtuwRgMivQ11hmgH92zLyYXV7YulQH6QgghxNVEkjArc/d2JiIugJ1rszGbG74It7ObO9G9+rJj9XLKS0qsEKEQQgghHIEkYTbQrmcIpYWV7N+aZ5X6YgcNpaq8nB2rfrdKfUIIIYSwP0nCbKB5+ya4eztbbVHv4FZRBDaPkFuSQgghxFVEkjAbMBgNRPcIZv+2PIrzyxtcn1KK2EFDOZqxh6P79lohQiGEEELYmyRhNhLdIwRt0excd8Qq9bXrPQAnk7PMoC+EEEJcJSQJsxG/YA9CWvmww0qLert6ehLVvRfpK5OoLCuzQoRCCCGEsCdJwmwoumcIJ46UcHRfgVXqix00lIrSEnauXWmV+oQQQghhP5KE2VDrzk1xcjGSbqUZ9MOi29MkNFxuSQohhBBXAUnCbMjZ1YnWnZuye2MOleXmBtenlCJ24BAO70rn2MH9VohQCCGEEPYiSZiNxfQMobLczN7N1lnUO6bfIAxGJ+kNE0IIIa5wkoTZWHArH3yD3K02Z5i7tw+tu3Rn+4plVFVUWKVOIYQQQjQ+ScJs7NSi3od3n+RYVpFV6owdNJSyokJ2r19tlfqEEEII0fjqnIQppTxsGcjVLKZ3KE4uRrYsOWCV+lp06IhP0yC2LF5glfqEEEII0fgumYQppXoqpbYD6TWfOyqlPrB5ZFcRVw8TMT1D2LXhKEUnrDCDvsFAwrDrObRjO9m7d1ohQiGEEEI0trr0hL0JDAXyALTWW4C+tgzqatRxUDO0RZO67KBV6osdOAQXdw82zv/WKvUJIYQQonHV6Xak1vrczKHh8y1cY7wD3GjVuSlpyw9RUVrV4Pqc3dzpOHg4u9ev4eQR6wz6F0IIIUTjqUsSdlAp1RPQSilnpdRj1NyaFPWTMLg5FWVmtltp8taE4TdgMBrY+PP3VqlPCCGEEI2nLknYZOABIAzIAuJrPot6atrCm9A2vmz57SBms6XB9Xn6NaFdnwGkJS2hpCDfChEKIYQQorFcMgnTWh/TWt+htQ7SWjfVWo/XWuc1RnBXo4QhzSk6Uc7eTdaZvDVx1GiqKspJ+fVnq9QnhBBCiMbhdKkCSqkZgD53u9b6XptEdJVr0d4fv2B3khcfoE2XIJRSDarPP7wZLTt1IeXXn+hyw2hMLq5WilQIIYQQtlSX25E/AT/XvH4DvAHrzDp6DVIGRfzg5hw7WMShnSesUmfi9aMpLSxg+/KlVqlPCCGEELZXl9uR8854zQJuAzrYPrSrV1TXINy8nUlebJ3JW8PbdSC4VRs2/vQdFos8uCqEEEJcCS5n2aI2QHNrB+JIDm+07XJATiYjcQPCOZB2nLxDDe9UVEqReP0tnDySzd4N66wQoRBCCCFsrS4z5hcqpQpO/QXmA0/UpXKl1DCl1E6l1B6l1JO17PdRSs1XSm1RSqUppSbU/xKsK/3Lj8i/616cZvwHi9l2vUod+obh5GwgxUpLGbXp1gOfoGA2zJ+H1ucN4RNCCCGEg6nL7UgvrbX3GX+jtNbzLnWcUsoIvA8MB2KA25VSMecUewDYrrXuCPQHXldKOdf7KqyoxYhbqGrhhf+6DLbeNoDK0hKbnMfVw0S7XqHsWn+U4pMNX8rIYDDSeeRNZO/eyaGd260QoRBCCCFs6YJJmFKq08Vedai7K7BHa52hta4AZgM3nlNGA16q+hFBT+A40PDp5BvA3bcJMT+uJj8uGOe0XHaN6klBdpZNzhVv5aWMOvS/Dlcvb1nKSAghhLgCqAvdulJKLbvIcVprPfCiFSs1BhimtZ5Y8/lOoJvW+sEzyngBPwLRgBcwVmt93oRXSqlJwCSAoKCgzrNnz77oRVlDUVERXj/NpOnvqeBr4OD9j+HcrKXVz3NwlYWiIxB1g8Joath0FQCH168ie9Ma2o+bgKufvxUidBxFRUV4enraOwxxBmkTxyTt4nikTRxTY7TLgAEDNmmtE2vbd8F5wrTWAxp43toyinMzvqFACjAQaAUsVkqt0FoXnBPLNGAaQGJiou7fv38DQ7u0pKQk+k2dS+o7L+I87Quav/kappf+TavhN1v1PEcjCvjmlY0EGFrTsX+zBtdXkhDPRw9swpB7mP4332KFCB1HUlISjdH2ou6kTRyTtIvjkTZxTPZulzo9HamU6qCUuk0pddepVx0OywLOzCrCgXMXTZwAfKur7QH2Ud0r5jDi/vJPjC88jbJA5eNPsW3a61atPyiieimjlN8OYLHCUkbuPr7E9BvI9uVLKT5pnXnIhBBCCGF9dXk68lng3ZrXAOA14IY61L0BaKOUiqwZbD+O6luPZzoADKo5TxDQFsioc/SNpM3Nd+A1/RNwVxjf/Ijkpx+89EH1ED+4OUXHy9m7Odcq9SWOuhlzVRXJv/xklfqEEEIIYX116QkbQ3WidERrPQHoCLhc6iCtdRXwIPArkA7M1VqnKaUmK6Um1xR7AeiplNpK9Wz8T2itj13GddhcaGJPguf9gg52xvXr30i+9warTWER0eF/SxlZY3oJv5AwWid2Z8uin6koK7VChEIIIYSwtrokYWVaawtQpZTyBnKAOo1Q11ovqJnSopXW+qWabVO11lNr3h/WWg/RWsdqrTtorb+43AtpDL7hLWg1fxWVUX64rt7Ntpv7UF5U2OB6lUERf11zcg8UcmjXyYYHCnS5YTRlxUVsW7bYKvUJIYQQwrouNkXFe0qpXsB6pZQv8BGwCdgMrG+c8ByPi6cXHb5bQWmvKEy7TrB3VC9OHNjX4HqjugXh5mUixUpLGYVGtSO0bQybfv7BppPOCiGEEOLyXKwnbDcwBRgFPAWsBQYDd9fclrxmGYxGOn38A2W3DkIdreDorSMavNTRqaWM9m/Ls8pSRgBdrh9NQe5Rdq1bZZX6hBBCCGE9F0zCtNZva617AH2pnkR1BrAQuEkp1aaR4nNoCS+8h/mvf4QSTeHEe9n93awG1dehXzgmVyMbfmp4zxpAq85d8QsNZ+P8b2UpIyGEEMLB1GXZov1a61e11gnAH4CbgR02j+wK0WHS33Ce8goYwPz0C6S+/a/LrsvVw0TC4ObsTc7laGbBpQ+4BGUwkDjqZo5m7GFfysYG1yeEEEII66nLFBUmpdT1SqlZVPeE7QKurllAG6jl0Jvw/exLtLcB09Qv2fzYvZddV8dBzXDzMrH2+71Wia19v0H4BAWzcvbnaEvD5yETQgghhHVcbGD+YKXUJ1RPujoJWAC00lqP1Vp/30jxXTGCYjsR/t0SLGFuuP20hpQ7hmCurKx3Pc6uTnQeHkHWjhMcTD/e4LiMTk70uvUOcjMzZGyYEEII4UAu1hP2d2AN0E5rfb3WepbWuriR4roieQWFEjV/FRUdmuKy6SDbb+hJycn6J1Id+oTh1cSVNd/ttcpYrra9+hLQrAWr5nwhT0oKIYQQDuJiA/MHaK0/0lo3vDvmGmJycyd2zlJKB8bhtK+I/df35fjenfWqw2gy0PWGSHIPFFplFn2DwUivsXdyIvsQact/a3B9QgghhGi4Oq0dKerHYDTS6YM5lN91AyqvipxxN3FwVf2Sn6iuwTQJ9WDdjxlWWVOyVWI3gltHsebrr6i6jNukQgghhLAuScJsKP7vr6KfegTKLRTf/wDps6fX+ViDQdH9xpacPFrCjjVHGhyLUore4+6iMC+X1CULG1yfEEIIIRpGkjAba3fnZNzefRdMoF6YwpbX/l7nYyPiAghu6c36n/ZRVdHwsVwtYuNp3iGOdd/NlTUlhRBCCDuTJKwRtOg3hIAv56H9nHD+5Fs2P/SHOg2QV0rR4+ZWFJ8sZ2vSIavE0mvsXZTknyR54Xyr1CeEEEKIyyNJWCMJiGpPix+TMEd44rY4mdTbr6OqvPySx4W28aN5e382/ZJJeUnDx3KFRkXTKrEbG36cR1mRdZZHEkIIIUT9SRLWiNybBNBu/hrKOzfDJfUIO67vQVHupcd7db+pJeUlVSRbaXHvXreNp7y0hA3z51mlPiGEEELUnyRhjcxoMhE/axGlI7tjPFjCwRsHkZOWctFjApt50aZLEFt+O0hx/qV7zy4lsEUk0T37snnhjxSfPNHg+oQQQghRf5KE2Umn12dQOWkcKt/M8bvGsW/xxcdodb0+EkuVZtOCTKucv+dtd2CurGTdd3OtUp8QQggh6keSMDuK++tzGJ7/O5ih/NH/I23Guxcs69vUnZjeoaStOEx+bsOfbPQLDiV2wBC2LF5IQW5Og+sTQgghRP1IEmZnUWPuwnPqNHBTGP7zPsnPPXLBsokjIzAYFevnZ1jl3N1vGYcyKFZ/86VV6hNCCCFE3UkS5gDCu/claO7P6EBnXGf/yuY/3lzrFBYePi7EDWrGrg1HOZZV2ODzevkHED90FNt/X0reoYMNrk8IIYQQdSdJmIPwi2hJq59XUdXaB7cVO9h6Sz8qis+fQqLTkOa4uDmx9gfr9IZ1vXEMTi4urJ47yyr1CSGEEKJuJAlzIC6eXrT/YRVl3VvhvCOP3df3Iv+cHioXdxOdhrZg/9Y8Du8+2eBzunv7kDjqJnatXcnRjD0Nrk8IIYQQdSNJmIMxGI0kfPoTZaP7Y8guJ/uWoWQnrzurTOyAcDx8nFk1bw8Wi27wOTuPvBlXTy9Wzfm8wXUJIYQQom4kCXNQCS9/iPnhe6HIQv69d7P7x9mn95mcjfQY3ZqczAK2rzzc4HO5uLvT9aZb2Zeyiazt2xpcnxBCCCEuTZIwB9Zh8uOYXnsRBZj//hxb33/l9L6orkGEtfVj7fd7KSmoaPC54oeOxMs/kKWfTcNiafhi4UIIIYS4OEnCHFyrEWPw+WwWeBlweu9Tkp+YBFQv7t3v9igqy82sntfwsVwmZxf633UfuZkZbFm8sMH1CSGEEOLiJAm7AgTHdSb020VYQl1x/WEFyXcNx1xZiV+wBwlDmrNz3RGydjZ8+aE23XrRvENHVs35nJKCfCtELoQQQogLkSTsCuEdEk7UT6upiAnAdX0m22/qTVnBSRKHR+Ad4Mryr3ZirrI06BxKKQZOmExlWRkrvvzUOoELIYQQolY2TcKUUsOUUjuVUnuUUk9eoEx/pVSKUipNKfW7LeO50pnc3In9OonS/u1x2ltAxqg+FB7KoO+4tpw4UkLy4gMNPod/eDM6jbiRbcsWk717pxWiFkIIIURtbJaEKaWMwPvAcCAGuF0pFXNOGV/gA+AGrXV74FZbxVMfZWUNX5vRVgxGI52mfkPZ+BGoY5UcHXsDhvxUWiUEsnFBplXWlexxyzg8/Zrw2ycfyiB9IYQQwkZs2RPWFdijtc7QWlcAs4EbzynzB+BbrfUBAK213VeSPrg/g70vJpG7ay/mWpYOchQJ/3wd/cRDUGah+P7JBLtswmBQrJizC60bNneYs5s7fe+8j6MZe9j62yIrRSyEEEKIM9kyCQsDzpzuPatm25miAD+lVJJSapNS6i4bxlMnRicnjnkX0CMjijWvfktGhuPekou5+wFc33oTTArX/7xCmMcO9m/LIyMlt8F1R/fsS3hMB1bOnklpYYEVohVCCCHEmVRDe00uWLFStwJDtdYTaz7fCXTVWj90Rpn3gERgEOAGrAFGaq13nVPXJGASQFBQUOfZs2djS9qiObxrF50ORuBqcWZT+F78oiMxGo02Pe/lqsg+SPh7r6CPa9b2eZYqj0Baj1AYTapB9Zbm5bL965kEtIujRb/BVor28hUVFeHp6WnvMMQZpE0ck7SL45E2cUyN0S4DBgzYpLVOrG2fkw3PmwU0O+NzOHDu9O5ZwDGtdTFQrJRaDnQEzkrCtNbTgGkAiYmJun///raK+bQkgyLglmi2zkqi+8G2HMrLxWd0K6I7dLT5uS9HydDhZPxhGO1TPmVTwmM454XSZ1x0g+t1LTrJ5oU/MnT8PQS3amOFSC9fUlISjdH2ou6kTRyTtIvjkTZxTPZuF1vejtwAtFFKRSqlnIFxwI/nlPkB6KOUclJKuQPdgHQbxlQvgYHBDHxkHIeGV+Fe6YLbFydZ8slcSkqK7B3aedybBNBu/hpcW1URmr2K1GUHOZCa2eB6e976B9y9fVj6yVS0pWFTYAghhBDif2yWhGmtq4AHgV+pTqzmaq3TlFKTlVKTa8qkA78AqcB6YLrW2uEWL+zWbwDNH+vJ7hbZRO8KYcerS0lZv9beYZ3HaDIR/9ViQlsexFRZwu//WcLRtC0NqtPF3YN+4+8le89OtiUtsVKkQgghhLDpPGFa6wVa6yitdSut9Us126ZqraeeUeY/WusYrXUHrfVbtoynIXx8/Ljuz+M4NtoEQMC3lSz5cDb5+Q2fqd7aur31EZHND1Hg0ZJtj77DvsXzG1Rfuz4DCIuOYcWXn1JaVGilKIUQQohrm8yYX0/xXbsT/cRAdkRl02Z/CAemrGbd78vsHdZ5rnv2z/j5lrOn2U0UPv482z5+87LrOjWTfllREavnfmHFKIUQQohrlyRhl8Hd3ZPr7r2N0vG+lJjKCVvoxNK3ZpObe8TeoZ2mlGLYX/piNnmwp/VojK//l+Rn/3LZ9TWNaEnHISPYsmghOZkZVoxUCCGEuDZJEtYA0R06kvDUSHbG5RB5NIi8t7awcuEvWBxkAHuTUA8ShrYg2787xyI74jpnMZvvuwnLZU5C22vseFy9vPjt4w9lkL4QQgjRQJKENZCzyYVBf7gF/cdQjnkUEPG7ByumfE1WVqa9QwOgy8gImoR6sDvmAYqjw3BbtZNtN/eh/DLGdrl6eNLnD3dzeFc621c43i1YIYQQ4koiSZiVtGzZlh5PjGZPtxOEnmxC6Qd7SPr2B6qqquwal5PJyOB721NeaubokNcp6d0W064T7B3VixMH9tW7vg79riOkTVuSPv+Y4pOO91CCEEIIcaWQJMyKjEYj/W++AY8H2nLIL4/W65uw7tXvyNizw65xBYR70uOmVmSm5uF69/uUjR2Myqng6K0jyFq7vF51KYOBoZMfprKslCXT32/wOpVCCCHEtUqSMBsIDWtO37/dyv4BJTQp8UJ9nM2SWd9QUV5ut5g6DmxGeLQfK7/eTeT9r2D525+hRFM0eRK7vplZr7r8w5vTa+yd7NmwlnS5LSmEEEJcFknCbMRgMNBr6FCaPtqJjOAjRG8NIuWVBWxPTbZLPMqgGHR3DEYnA4s/SSP6nodweeM/YATLsy+zZcrT9aqv88gbCW0bw9IZ/6Uw75iNohZCCCGuXpKE2Zi/f1MGPXw72SMtuFY54/FlAUumz6G4uPEnPfX0c6H/HdHk7C9k48+ZRA6+niafz0X7GnGe/jWbHx5f57oMBiPD7n8Es7mKRf99R25LCiGEEPUkSVgj6dKnH5H/15vdkdlE7wll12vLSF63utHjaN25KdHdg9m0MJPsPSdpGhNH8x+SMLfwwO3XTaTcNoCqOt429QsOpe8dE8jcspmtS3+1ceRCCCHE1UWSsEbk5e3DdX8aR94YZyxKE/idmSXvz+bkybxGjaPP2Ci8/F1Z8ul2Kkqr8AgIJPrH1ZQnhOOSeoQdo3pQePRwneqKHzyC5h3iSJr5Mfk5R20cuRBCCHH1kCTMDjomdiPmicHsiM6mzcFgsqasY+2ypY12fmc3J667J4bCvDJWzN0FgJOLC/FfLaZ0ZHeMWSVk3XQdR1I3XbKu6qclH0Ep+PXDt2QSVyGEEKKOJAmzEzc3d6675zbK7vKnyKWU8F9NLH1jNjlHsxvl/CGtfek8PIIda46wZ1PO6e2dXp9B5Z/Howot5N99B3t++uaSdXkHNqX/XX/k4PatJP/6ky3DFkIIIa4akoTZWduYWDo9OYpd8blE5Dbl+DuprPh5QaMsfZQ4MoKmEd4kzdpB0Yn/jQOL+8s/Mb78HABVT/6Tre/9+5J1dRgwmMiERFZ8+RnHDx+yVchCCCHEVUOSMAfgbHJh4LjRGP7YjFzPfCJXeLHyP19z8IBtF8o2Gg0MnhCDucrCb59tR1v+94RjmxvG4T3jc/Ay4PT+Z2z+v/suWpdSiiGTHsLJZOKXD9/EYrm89SmFEEKIa4UkYQ4komUbej5+C3t75BOc34SKD/ex9Ovvbbr0kW+QO71vbUPWjhNsWXrwrH0h8V0I/XYRljA33OavJuUPgzFXVl6wLs8m/gy8dzLZu3awcf53NotZCCGEuBpIEuZgjEYj/W4chddD0Rz0zyVqkz/rX/2e3bvSbHbOmN6hRHYMYM33ezmWdfb8Zd4h4UTNX0VFbDAum7NIH9Wd4mO5F6wrulc/2nTtyeq5X3Ds4H6bxSyEEEJc6SQJc1AhIc3o++htHBhUhk+pB6ZPclny+TeUl5dZ/VxKKQaMj8bNw8TCqVspKz67t8vk5k7Hr5dROrQzxv3FHLixPzlpKRes67qJ9+Ps7sHC99/AbOcFzIUQQghHJUmYAzMYDPQcPJiQvyayN+wI0WlBpL7yC9tSLj11RH25eTkz7E+xFJ0sZ9H0bVjM5z8Y0OntL6iYeCvqpJkTd45j78Labzm6+/gyeOID5Ozby/rvv7Z6rEIIIcTVQJKwK0AT/0AGPTSOI9eDyWzEe3YRSz6aQ3GRdZc+Cm7pQ79xbTmYfoK139f+UEDHx17A8MI/wQKV//fUBZ+cbNOtJ+1692ftt7M5vCvdqnEKIYQQVwNJwq4gib360PrxfuxqeYSovcHsfi2JTatXWvUcMb1D6dAvjOTFB9i14UitZaJGj8d7xmf/e3Ly0XtqLTfw3sl4+Qcw/61XKSnIt2qcQgghxJVOkrArjKenN9dNGkv+WA+qDGaCftT89u5sThw/ZrVz9L61DSGtfVg2cwe5B2vvbQtJ6EbY90swh7vhtmAdKWMHnrfmpKuHJ9c/+ndKC/JZ8O4UmbZCCCGEOIMkYVeo2IREYp8axo6YI7Q6FMzhNzawevFiq0zyanQyMGxSLC4eJhZ+uJXSoopay3kFhRL901rKE8Jw2ZLNzpHdKcjOOqtMUGQrBk6YzP7UZNZ8M7vBsQkhhBBXC0nCrmAuLq5cd9etVNwTSL5rMc1/c+X3N+aSnX3w0gdfgru3M8Mnx1JSUMGvH9U+UB9OrTm5hNLre2I4VMrhm4dweOPqs8rEDhxC+37Xsfbb2eyzwUMFQgghxJVIkrCrQFR0e7o+eRO7OufRPC+Qwnd38PsPP2E2N+z2X1CEN/3Ht+XQzpOsnrf3omU7/edjzA/fC8UWCibey86vPzu9TynFoPsmE9isBQvenUJBbs5FahJCCCGuDZKEXSWcnJwYeOtNOP85kiM+x2m1xofVr80jM2N3g+qN7h5C3IBwtiw9yM61F19cvMPkx3F5/TUwgn7u36S8+tTpfSYXV65/9CksZjPz3/w3VReZeV8IIYS4FkgSdpVp1rwlvf/vVvb1KSSwyAfLRwdZ+tW3VFSWX/rgC+g5pjVhUb4s+2InOfsLLlo2csgN+M/6Gu3nhMuM79n8p1uw1PTI+YWEMezPj3Bk726SZk6/7HiEEEKIq4EkYVchg8FAn5Ej8H+kI5lNc4jaEsjmV34mPW3LZdVnNBoY+scOuHlXz6hfUlD7QP1TAqNjafHTcqpaeeP2+3a23dybsoKTQPX8YZ1H3cyWRT+TvjLpsuIRQgghrgY2TcKUUsOUUjuVUnuUUk9epFwXpZRZKTXGlvFcawIDgxn413EcGlqJR4UL7p+fZMkncykpKap3XW5ezoyYHEdpUSW/frQN8wUG6p/i7tuE9j+uprR3W0y7TrJvRG9ytqcC0Of2uwmLjmHRtHdlfUkhhBDXLJslYUopI/A+MByIAW5XSsVcoNyrwK+2iuVa123AQJo/1pPdLbKJ3hXCjleXkrx+Tb3rCWzuxYDx0RzefZIVc3ajtb5oeYPRSKfp31N+942oE1WcGH8bu+fPxejkxKiHn8DZ1Y0f3/g3FaUll3tpQgghxBXLlj1hXYE9WusMrXUFMBu4sZZyDwHzAHlkzoZ8fPy47s/jyLvFhEYT+G0VSz6YzcmTefWqp223YBKGNCdt+SE2Lcys0zHxT72C8cWnQYP5qWfYMuVpPJv4M+rhxzmZfZhF/333kgmdEEIIcbVRtvrHr+bW4jCt9cSaz3cC3bTWD55RJgz4EhgIfAz8pLX+ppa6JgGTAIKCgjrPnm37ST+Liorw9PS0+XnsobKygsLtB+ic3ZoCp2J2tMklsEVEnY/XWnNonSY/E0ISFU1aqzodV5G1j2Yf/gfyNMe7RlJx9984umUjh9atoFnvgTSN7XTR46/mNrlSSZs4JmkXxyNt4pgao10GDBiwSWudWNs+Jxuet7Z/mc/N+N4CntBam5W68D/kWutpwDSAxMRE3b9/fyuFeGFJSUk0xnnsZjDs2J5K8bw8eqS3YlfeIdrf0ZegoNA6HW7ua2Hhh1s5sCmPjp3a06pT0zoc1Z+SEdez986RNFm/j6rj/6DrzJ9YVFVO5prl9BoynLC27S549FXfJlcgaRPHJO3ieKRNHJO928WWtyOzgGZnfA4HDp9TJhGYrZTKBMYAHyilbrJhTOIM0TFxdH7yBnYlHKNFbiAn397G8vk/12mS11NPTAZFerPokzSydp6o0zndmwRUD9jvG43TnnwO3NCPxIGD8Q4I5If/vMCJI+f+T0QIIYS4OtkyCdsAtFFKRSqlnIFxwI9nFtBaR2qtI7TWEcA3wP1a6+9tGJM4h8lkYuDYm3H6UwtyvE/ScpU3q1+bx76MXZc+1sXIyAc64hPozoIPU8k9UPti3+cyGI10mvYdFffejDphpuSPE+iUmIgGvv33s5QU5DfwqoQQQgjHZ7MkTGtdBTxI9VOP6cBcrXWaUmqyUmqyrc4rLk+LiNb0enwMGb2rJ3nVH2XxWx0meXX1MHHDXzri4ubE/HdTOJlT9ycdOz7+MsZ/P4dW4Pbqm7QPDqAoL4/v//MClRWXP7msEEIIcSWw6TxhWusFWusorXUrrfVLNdumaq2n1lL2ntoG5YvGYzAY6DuqZpLXoBzabgkk+d8/sz01+aLHefq5csPD8WgLzH8nheL8uidQbW4YR5PPZ6P9nAj6ZjHRlJG9eycL330di6Vha18KIYQQjkxmzBfnCQwMZuAj4zg83IxbpQueXxaw5KM5FBdd+HajX7AHox7sSElhJfPf3UJ5aVWdz9e0fTyRC1ZS0c6f5hv3EV10gt3rV7P8i0+scTlCCCGEQ5IkTFxQ1379ify/3uyMzCZqbzC7X0ti46oVFywfFOnN8D914ER2MQs+SKWqsu49Wa7evsR+8zul1/ek5d5jROSfZNPPP7B5wQ/WuBQhhBDC4UgSJi7Ky9uHwX8aR/5YDyqNZoLnw2/vzObYsaO1lm8e48+ge9pxePdJFk1Pw3KJ5Y3OZDAa6fSfj9FPPkRM9jGCCopY9tlH7F632lqXI4QQQjgMScJEncQmJBL35DB2djhKy+wgct9MYcWChVgs5ydZUV2C6X1bG/ZtOcbvX+6s92z4MXc/gM8nM4gvOIZvcRk/vfEyB7dvtdalCCGEEA5BkjBRZy4urgwaPwZ9Xwh5HgVELvdk5WvfkJmx+7yyHQc2o/PwFmxflV2diFnql4iFdu5By/lJdDSU4lpewXfPPk7xwQwrXYkQQghhf5KEiXpr2TqaHk+MZm/PfIIKfLF8dJDfZs2jovzspyK73dCSTsNakLbiMEtnpmOpZyLm3iSATt8tJzY8AGWBA9/NZtfCb615KUIIIYTdSBImLovRaKTfDaPwezi2ejqLrU3Z8soCtiZvPF1GKUX3G1vS9fpIdqw9wuJP0jDXY4wYVI8T6/3elyT07EaZ0YkVH3xA8pvPW/tyhBBCiEYnSZhokKZBIQx8ZBzZozQmsxN+c0pZMnU2+fnVyxgppegyMpIeo1uxZ2MOv07bhrmyfokYQO+/PUdYpy6cdHNh26/L2HT3KKrKZUJXIYQQVy5JwoRVdOndlzaP92dH68O0yQzh4H/WsOa3JacH7nca0oI+Y6PYt+UYC6Zupaqi/hOxNu0xgD7j7iTHx5P0I0WkD+vKsV1p1r4UIYQQolFIEiasxsPTi+smjqXkTl+KXEppttiF5W/M5VDWfgDiBoQzYHw0B7bn8dP7qVSW1z8R6zp6HAPumcRRX0+2uPiRO/YW0mf919qXIoQQQticJGHC6tq170jnJ29gV+c8wvMCKH1/N0vnfEdFZTkxvUO57p4YDu86wfx3U6iox8z6p3QafgMD7vkTR3082RQajOWlN9n80B+wmGWZIyGEEFcOScKETZhMJgbeehPuD0ZxMOAYUckBpLxcPXC/bbdghkzswNGMAn54O4Wy4sp6199p+PXViZinJ5vbhuOyJJntI7uRf+igDa5GCCGEsD5JwoRNhYY1Z8DfxnFoeBUuZlP1wP0PZuMfaWDYnzpwLKuQH95KprSoot51dxp+PQMn/IkcZ1c2JkahDhSRfdMQ9vwk68ALIYRwfJKEiUbRrd8AWj/ejx1R2bQ5EEz26xvJOrSREZM7cOJICd+/kUxxfv2fdkwYdj0D753MsQozm6/ria7UVD3xT5KfftAGVyGEEEJYjyRhotF4eHpx3b23UX5PICc8Colc7smB+cvoNroJBXllfPPqRvIOFdW73oShoxh472RyjuaQev0oqgKdcf36N7bc3JviY7k2uBIhhBCi4SQJE40uKro93Z8YTUavAgKLfPBdlEer6ONgsTDvtU1kbj1W7zoTho5i0L1/JmvXDnYNvZmSLhE4p+dxcGRfuT0phBDCIUkSJuzCaDTS9/qRBPw1noywo0TvD6CjKZ9gbwsLPkgldVn9B9jHDx3JoHv/zL6UTRyI7UHlQ3dBuabq8X+y+ZG75OlJIYQQDkWSMGFXAQFBDHpwHHljnKlwqqRTpROd/SrZ/PVuln+1E0s9lzmKHzqSQffdT8am9ewtqsD38y8xh7rh9ssG0ocmyuSuQgghHIYkYcIhdEzsRvzfR7A78Th+GOjvbaRqXTY/vbOZ8nrOJRY/ZATXTbyfjM0bWDb3KyK+XkrpsC4YD5eSd9stbPvwVRtdhRBCCFF3koQJh+FscmHAmBvx+2sse8OyiXI1Ep1dwq8vLOdkbnG96uo4eASjHnmSo/v2MPvZx4l4/N84vfYi2kVhfPtTUu4YQnlRoY2uRAghhLg0ScKEwwkMDGbQQ+M4cZsrBa75dLKY2PvaevIyT9arnrY9enPbMy9TXlrCV08/hmuraJr9vJyKDk1x2XSQjCHd2J+00DYXIYQQQlyCJGHCYcV26kLHp4exq8NJ/AwGuqQ34bc3f6S4Hj1YoVHt+MOLr+Pm7cM3L/6TAzvS6PjN71RMHIMqMlP6wF9J/vufZdC+EEKIRidJmHBoJpOJgeOvx/nPrdinSmh71I8DL61j5YJfMNcxcfINCub2F/5DSFQ0C96dwtp5s4n727/wmfkFlkBnXL9NYvuIruRsT7Xx1QghhBD/I0mYuCKER4RjHuzC1hCoqjQRsdyD9S/9wLaUTXU63s3Ti1v+/gLt+gxg1dwv+HXq2zTtEE/UrxsoHRiH08Fijo+7leQXHpVeMSGEEI1CkjBxxTAYFcP+0hvjTa3YXFaFf5E/vrNL+O3t2RzK2n/J451MJoY/8Cg9xtxOWtISvv33s1RVVdLpgzm4vPs62tuE66yFbB/ehaNbNzfCFQkhhLiWSRImrihKKWJ6h9Pr8S5scjexo8xMy+xgyt7fy5LPvr7keDGlFD1vvYNh9/+VrPTtzH7mcfJzjhI5aCRtfttE6XUdcTpUwok7bif5uYelV0wIIYTNSBImrkj+oZ6M+Xs3jInBLMu3cAQz0enBZLy6nBULFl5yvFj7foO45e//ouhEHl/+828c3pWOk4sLnd6bjeu7b6B9TLjOXsT2YV04klq3W55CCCFEfdg0CVNKDVNK7VRK7VFKPVnL/juUUqk1r9VKqY62jEdcXUzORgaMj6b3vTGklTizqqKKEqOZyOWerP/396RuWn/R45t3iOP2f03B5OLCnOeeZMOP89AWCxEDR9BmySZKByfgdLiEk3fcQfLTD0mvmBBCCKuyWRKmlDIC7wPDgRjgdqVUzDnF9gH9tNZxwAvANFvFI65eUV2Cue0fXVABnmw84kla03I8yl1p8nU5y16fzd5d6Rc81j+8GeNfeZtWid1YPmsG3776PCUF+dW9Yu9+idsH76D9TLh+vYT0oYlkp2xoxCsTQghxNbNlT1hXYI/WOkNrXQHMBm48s4DWerXW+kTNx7VAuA3jEVcx36bu3PJ/nYkbEM6eXQZ2uPizMyqPsLwmOH2Sw5L3ZnP40IFaj3X18OT6vz7FoPvu52BaKjMff4iDadXTVbToN4So3zZTOiwRY3Yp+ePvZPNf7qCytKQxL08IIcRVyJZJWBhw8IzPWTXbLuQ+QKYvF5fNaDLQZ2wUwyfHUnC8gr2pfuT3acHu1kdodSiIsvf2sOTjOZw4fuy8Y5VSxA8ZwR9efB1nVzfmvvAPVs2dhcVixmgy0emtz/GY9j7mIFfcFm1m74BEtn/2vh2uUgghxNVCaa1tU7FStwJDtdYTaz7fCXTVWj9US9kBwAdAb611Xi37JwGTAIKCgjrPnj3bJjGfqaioCE9PT5ufR9RdfdqkolhzeJ2mOAfcA8GvfRHGg3nE5bWkzFDO1rADeLdphrOzy3nHmisrOLB8Ccd3bcczNJzIQSNx9vQCQJvNmBd9TfjiJHSJoqylF7l33I9zWIQ1L/WKIb8TxyTt4nikTRxTY7TLgAEDNmmtE2vbZ8skrAfwnNZ6aM3npwC01v8+p1wc8B0wXGu961L1JiYm6o0bN9og4rMlJSXRv39/m59H1F1920RrTfrqbFbP20NlhZkuIyLxiSwha0EqbXLDOOlUyLFEMz1HDsHZdH4ylvb7b/z28Yc4OTsz7IG/0jKhy+l9xcdy2fXYBFzX70EZoWRgIrGvTMPk5m6NS71iyO/EMUm7OB5pE8fUGO2ilLpgEmbL25EbgDZKqUillDMwDvjxnMCaA98Cd9YlAROiPpRSxPQK5fZnuxEZF8i6HzPY9E0hMaNHcHKcOyc8imi91pdtL/7Kyl9+obKy8qzj2/cbxB3/fhNPvyZ898rzJH3+Meaq6jIeAYEkfPoT7h++gznQFbdfN8ktSiGEEPVisyRMa10FPAj8CqQDc7XWaUqpyUqpyTXFngH8gQ+UUilKKdt3cYlrjoePC8MmdWD45FjKiiqZ99pGTu72pusjN5M9SlNprCIiyYPUlxawYsHCs5Ix/7Bm3P7S63QcPIJNP33HV0//H0f37T29v0W/IbRbvInye29BVVhQ/36P1Ot7kJOWYocrFUIIcSWx6TxhWusFWusorXUrrfVLNdumaq2n1ryfqLX201rH17xq7a4Twhpaxgdy+3Pdad8njC2/HWTOixsI8mtP4j9u5NDQSipr5hjb+uJCVvy8gIrKcgBMzi5cN/F+rn/0KQrzjjHr738l6fOPqSgrBcBgNBL/+IuEL1pBWbeWmPae4Pi4cWz+0y0U5R6x5yULIYRwYDJjvrimuLg50e8Pbbn5b50wOhmY/+4Wls3cSVxib7r+4yYODzdTbqokcoUXaS8s4vcff6KivDoZi+rWiwlvTCV2wBA2/fQdn/7tfvaeMSGsR0AgCZ/9jPsHb1IV7I7b79s5NLg/m//vPiqKi+x1yUIIIRyUJGHimhTaxpex/+xC4ogIdm84yhdPryF50QESevSh29+rb1OWupTTarUP6S8t5vfv51NeXoarpyeDJz3IuOdfw9nVje9f+xc/vvEyhWdMe9Gi/3A6LN4M/3gYi7cJt/mryeiXSMqLj2E+Z9yZEEKIa5ckYeKa5WQy0u2Glox9uiuhUX6s/T6DWc+sZefao3Tu2YfuT40m50YDha6ltFrry84Xf2PZvB8oLiokLDqGO199m97j7mLf5o18+uifSf5lPhbL/5Y2anfnZNouS6Fy8u1gVLh88TO7+nVk24evyhJIQgghJAkTokmIByPvj+OmRxPw8HFm6cx05r60gaz0E3Tq0YueT95C7mgn8t2LabOhCVkvr2HJjLnk5B6h2823cfeU9wlpE83SGf/lq38+Rk5mxum6DUYjcY88Q+vlKZSNG4Iqt2B8+1N2DEpg59xP7XfRQggh7E6SMCFqhEX5MebJRIZMbE9leRXz393Cj28nk3eomISuPejz1G3k/8GDQ02P02ZnEOVv7+W3d2aTnZfDLX//FyP+8n8UHMvli6ceIenzjykvKT5dt5OLCwnPvU3EsrWUDuuC4UQ5lmdeZduwRDJ+/d5+Fy2EEMJuJAkT4gxKKdokBvGHZ7vT+9Y25BwoZO7LG1jy6XYKj5fRPq4TAx8Zh/HBFuxpc5RmR/zx+ryAla98TWGV5q4p758euD/9wftY/8M3VJaVna7f1duXTm/NJPSX3yjt1RanrCLKH36KbYM7kf75h3a8ciGEEI1NkjAhamE0Geg4qBl3vtCDhMHN2bMxh1nPrGXVvD0U55cTHh7BdfeNJfjJLuzqnIdXqRuhC43seCMJ56YtGPPsK4RERbPiy0+Z/peJJP8yn6ozBuV7h4TT6ePvafrDD9XJ2NFieOkd0vt0IPWNZ2UAvxBCXAMkCRPiIlzcTfQc3Zo7/tWd1p2bsmXJAWb+YzXLPk/nxJFivL19GXjrTbR/ehgHBpVR7lRJq7W+lM46hFdAOwb86RGahIWzdMZ/+eSRSWxbtvisQflNWrWl08ff02zpSkqHd0UVV2GaNpfdvePY/M8HKC8qtOPVCyGEsCVJwoSoA68mrlw3IYY7/tWdmJ6h7Fx/lC+fX8fCqVs5si8fk8lEz8GD6f730ZwY68bhwBO03tuUpotcCDN1Jn74H3D38uPXqW/z6WMPsHPNCrTFcrp+j4BAOr35GS1XbKRs3FBQCrdvlpLZpwubH7qdguwsO169EEIIW3CydwBCXEl8At3p94e2dBkVSeqyg2z7/RAZKbmEtvElYUhzWnTwJzYhERISOXbsKKm/rcYn3ZmIHcGEGwI42Lkjudnb+OmtVwlsEUnvcXcRmZCIUgoAZw9PEp57C8vTZrZ98ApO38zGbXEKh5OuY29CJIH3P0V49752/haEEEJYgyRhQlwGd29nut/Yik5DW7B95WG2/HaQn99PxT/Mg4QhLWid2JSAgCAGjr0Zi8XC1s0bOLb6EC2zmxHt0pLDUV3Jzk9n/msv06RFcxKGX090z744OTsDNVNbPPQPeOgf7Jj9MVUzPsB1/T4K108iLdSVqmEjaPfA33H28LTzNyGEEOJyye1IIRrA2dWJ+OuaM/6FHgy6px1aw5IZ2/ni6TVs+HkfRSfKMBgMdEzsxqC/jMPv/+LYnXgc5eREZ/cBjIx4gOaVMaR8+j0f3T+BlbM/P2v2fYDocffR4ddN+HzxCWU9o3A6UYbzJ9+R0SuR5LuGc3DVMjtdvRBCiIaQnjAhrMDoZCC6ewhtuwazf1seKb8dZP38fWz4aR/NYvyJ6RVCRFwAfk0CGDDmRiyjLWxPTebIykM0P9ySVsExlOhiDi3fybe/PE2TuBZ0GnEDoW3bnb5VGZrYk9BPfqSytIT0/07BsOB7XDfso2j9/aSFOFM5eBjt/vJPXDy97PxtCCGEqAtJwoSwImVQRMQFEBEXQH5uKemrD7NjzRF+mbYNNy8TUd2CiekZSpNQDzrEd6ZDfGfKykrZsmYNxVtOEmGIpY13J4oPF5D+9kJWenxO+5GDiO71v1uVJjd34h55Bh55huyUDWS//zIem9IxzPyRfXO+p6xDCzzGTaTViFswGI12/kaEEEJciCRhQtiIT6Ab3W9sRdfrW3IgLY/01dlsXZrFliUHCYr0JqZXKK0Tm+Lq6ka3AQNhABQVFbBl9RoqtxTSOq8T0ThR+NNxfpv3NrT3JGHEMJq2iDx9jpD4LoR89B1V5eWkf/QGav43uGw+QNWmZ9n1r2cpjWmJ160TaDn8ZknIhBDCwUgSJoSNGQyKiNgAImIDKCmoYOe6I6SvOsyyL3aw4uvdtOwYQMv4QJq398fT05teQ4bCEDh5Io/UVWsxbC6hXXFXDPsNnHgnjW36ZypbOZNww1CaNmsBVC+LFPvgU/DgUxzblcaB6W/humEdruv3UrnuaXb962lKY1rhfds9RA6VhEwIIRyBJGFCNCJ3b2cSBjcn/rpmHMkoIH31YTJSctm1/ihGk4HmMU1omRBIRGwAvn7+9B01EkZBbu4R0pLWYEwrJrK0HaaDzpS8u4c1lmUUhFcSNbwXkW1jAAiIak/Aax8BkLtjKwc/eRvXDetxXbeHirVPs8tbEjIhhHAEkoQJYQdKKUJa+RDSyof+f2jL4d0nyUg5RkZKLvu2HMNgUIRG+dIqIZDI+EACA4Ppf+vNcCuUlZWS/PvvlKw/RGhBEM2O+MCMPFIs35AbmE/Tvu2I6dQFk8lEYHQsga9NB2oSso/fwnXDhv8lZJ7/pDwiCLr3JfKOP+EdEm7nb0YIIa4dkoQJYWcGo4Hw6CaERzehz21tyNlfSEZKDhkpx/j9q138PnsXwZHeRHYMJDzaj4BmXvQYOgyGgsViYdvaVWQnpRGQ503bY60xfGfmwLdJZLscpay5gdBu7WgT3aE6IfvPxwDkbE8la8bbOKck47LjKHrbNxz6+Guympooa9sazyE30+rG2zGaTHb+doQQ4uolSZgQDkQZFEGR3gRFetP9placyC4hIyWHvcm5rPluLwAu7k6EtvElPNqPsLZ+xPboTVzPPmit2bslmd2L1+CarQiqDMV7jz/sKeKA/p1s96OUR5oIjm9Nm3btaVqTkJUXFbJnzidUJP2C6979uC3fgXn5v9n9r5eobOZDZUIXQsbcQ0h8F3t+NUIIcdWRJEwIB6WUokmoB01CI0kcEUlxfjmHdp3g0I4TZO08wb4t1ZO6unk7Ex7lS1hbP8Kj29HqsQSUUhQdz2P7qhUc3bwHz2MuNK0Mx2d7AGwv5iArOOyRS3mECd+WQUTedDv+9z0MVN+2zJr9McZN63A+eAKnvUs5+c1S8t01lSE+VLZpi2ffIUQMvcmO344QQlz5JAkT4grh4eNCVJdgoroEA1BwrJSsnSc4tLM6Kdu9MQcAzyYuBEf60LSFN2Ft+xE/eBROzoqcjL3sXLuGE1sP4F3oRdOK5vgUBaDSoHT+TrYa1pHrVwjNXPEbMZaIR5/D08OLvQvmUbjoe0x7duN8OB+nvRsw/7KBjKdfJNDfieSIZhgTuhE2ahz+baLt+A0JIcSVRZIwIa5Q3gFuxAS4EdMrFK01J4+WkLXjBId2neTovgL2bKpOylDgF+xBUAsvAlsMom0vL7z84PDONHZt28rJ3YdxOeFEE1MQoeXBeOb5QUoVBWxlrymP4/5mVN/b8Lk9gIDIFpizDnDs1+9gWzIuB7Jx3bAP1meS89855HpBZaAXVeHNMMZ0JKD3dQQndJMnMIUQohaShAlxFVBK4RfsgV+wB7H9q59wLCmoIGd/AbkHCsnJLGD/9uPsWHsEAINR4R/mSUB4X1oO8sC3qQuWqhxOHs1gV/pqSjNP4FXuRROXYJqVBuN+xBs2acxkUqJKKXHvRknfRE4YimjeqhkqIx1j8ipcMvZiOlqAU8Z2WL6d/KlfUWDSWJqYqGwagKVlG9wSuhE+aCSegcH2/MqEEMLuJAkT4irl7u18epJYAK01RSfKydlfQE5mITn7C8jcVj2T/ylOzj74BQ+kSSd3PH3NmKuOcCD/ACcOraXqaAnuFe54OwfgUxJA04IAoo1hkAnQmRK/GI71yafUtwqLqxlDfg6m7H14ZO3B/fBBXNKz0VuPoH9YwcHn/oPyALO3C1UBfpiDQ3FqFY1XbGdCu/WV9S+FENcEScKEuEYopfBq4opXE1daJTQ9vb2suJIT2cUczy7mRHYJx48Uc3jXSYpOlFP9n4iWGAyt8GzigtlHU2g6SaHlOBVl2zh+eD8eFQY8LV74OAfgXRKAf74v7kYvlGoBpi4QCeWRFRx3yafEqRBL+XFMJ4/gmpeNy/EcXDLy0FtTYHEyZXxFhtIo9zMTtBAMIc1xadkG37axBMbE4+TiYq+vUQghrEaSMCGuca4eJkJa+xLS2ves7RWlVZw4UsKJI8WcOFpC4bFSCvLKOHbYh9ICNyAMSOCE0uQ7l5Hnno+T00m0Poil4iSGsnJM5eBh8MLT5Iunky/+Jl88nMIxeSaCJ1C96hJVVFFMIWWWfCwV+RiL83AuyMP15AnU4Xx0+Xos5b9xsrKEk8qCwRUsHk5Ueblh9vXFEtgUQ0gzXMJb4N4sAu+W0fiENZexaEIIhyZJmBCiVs5uTqfnLDtXZYWZouNlrFy6nsiwKAqOlVGQV0ZhXinF+RWUllegtUabNMd1CboyH12Wj8GYg8FQiEmX4awtuFiMuBnccXPyxN3JCzejFx7GcNz82mHydz7vvBZtpsJSQmVVEZaKQpzKCnEtLkDtL4TdJ9EVhymv/I2cyhKOVhWDoQRtLMPiasTs6YbFywuLjx/KtwnK1x+TfyDOTUNwDwrBMywCr+BQSdyEEI3GpkmYUmoY8DZgBKZrrV85Z7+q2T8CKAHu0VpvtmVMQoiGMzkb8Qv2wCtU0aHf+UsdaYumtKiSkoJyik9WUJxfTkl+BSX55RQXVP8tLayksKiCY8XFaHMxurIYLCfR+hDaUoxRl+FuABeDwsVgxMVgwsXojqvBHRejGy4mD1xc/DE0qf58MWZLBeaqMiyVJeiqUiw5pXC4HF1VhqVqB0WVKRRVlnK0qgyLLsNiKMesyjEbqrAYzWgnjcWowMUILs4Y3F1RHl4YPL0xevvi5OuHk5cPzt4+OPs0wcXbF1c/f1x9/CSpE0JckM2SMKWUEXgfGAxkARuUUj9qrbefUWw40Kbm1Q34sOavEOIKpgwKd29n3L2dCbjEcpQWi6a8pJKyokrKiqsoKz71vvpVXlxJRZmZ8tJyCgqLyCkuoqKkkIrSIirLc9GWUrCU46zMmBQ4K42TMuCsDJgMBkzKCWejCWeDCyaDK87OLphc/XBSzjgZal7KhEEZ6nWN5soqzHmVWI6ZsVgqMWszJZZiinQ+2mJGW6rQ2ozFUoXWVVj0qb9mNGa0NqNVzV8sWKj5jAWtLGCwYMECBg0G0EqjDKCNBjAocAKDkwHl5IRycgKjEYOTEWVyoiA/nzVpGzA6mTA4O1e/TM4YTSYMTk4YTabqfSZnjM7OODk7Y3A2YTSaMLm4os4oazA6nfH31DZJLIWwBlv2hHUF9mitMwCUUrOBG4Ezk7AbgZlaaw2sVUr5KqVCtNbZ51cnhLgaGQwKN09n3DzPv/14KVprqiotVJRWUVFaRVWFhcpyM1UVZiorzKc/V5ZXUl5cQllxKQUlxVSWllJZUU5VRTFVFcepKi/DXFUBlVWoqioMFo2yWHDSp3IghRMKg1I4YcBoMGDEgFGdehkxKiMGZcBgMGI0GjEoV4w44aSMGJUTBmU842XAqKzwn18NVNa8zhABcLA+FVVhoQoLpVRSgEVbAI2u/pKr/6I5813NztNbzvxUvVufDvLUu3PLn67mrBJnfz77fKf2qbNq5Zxjzt1z3v7zCtR+RF3rq4smQOoP8+p1zMWcf/0NrvCaVF5+APr3t9v5bZmEhXH2fwayOL+Xq7YyYcBZSZhSahIwCSAoKIikpCRrx3qeoqKiRjmPqDtpE8dzxbSJCfCtfrkALjX/t760rk4GtKX6ZbZAlbnms655mTXaYsFitmCpMqOrLFgsZrS5Cm02YzFXH2w5td1iRpurK9MWDRZLzUujdHVdqma7Mldvw6JRFo2iOklEg6p5QfVfg1LV21Gomm2n3oPCUPOOU/tP7VMKpRWq+kN1HYozjjz1lzOPAlWzTdfsUf8rdeZxZ31Wte+rz7bzttdS5ELHXW65Wk9yoZJ1L1oP1q3UJiFeIczKbNf/htkyCautXc/NtetSBq31NGAaQGJiou7fCFlrUlISjXEeUXfSJo5H2sQxSbs4HmkTx2TvdqnfIIj6yQKanfE5HDh8GWWEEEIIIa46tkzCNgBtlFKRSilnYBzw4zllfgTuUtW6A/kyHkwIIYQQ1wKb3Y7UWlcppR4EfqV6iopPtNZpSqnJNfunAguonp5iD9VTVEywVTxCCCGEEI7EpvOEaa0XUJ1onblt6hnvNfCALWMQQgghhHBEtrwdKYQQQgghLkCSMCGEEEIIO5AkTAghhBDCDiQJE0IIIYSwA0nChBBCCCHsQJIwIYQQQgg7kCRMCCGEEMIOJAkTQgghhLADScKEEEIIIexAVU9af+VQSuUC+xvhVAHAsUY4j6g7aRPHI23imKRdHI+0iWNqjHZpobUOrG3HFZeENRal1EatdaK94xD/I23ieKRNHJO0i+ORNnFM9m4XuR0phBBCCGEHkoQJIYQQQtiBJGEXNs3eAYjzSJs4HmkTxyTt4nikTRyTXdtFxoQJIYQQQtiB9IQJIYQQQtjBNZ2EKaWGKaV2KqX2KKWerGV/f6VUvlIqpeb1jD3ivJYopT5RSuUopbZdYL9SSr1T02apSqlOjR3jtagO7SK/lUamlGqmlFqmlEpXSqUppR6upYz8XhpRHdtEfiuNTCnlqpRar5TaUtMuz9dSxi6/FafGOIkjUkoZgfeBwUAWsEEp9aPWevs5RVdorUc1eoDXrk+B94CZF9g/HGhT8+oGfFjzV9jWp1y8XUB+K42tCvib1nqzUsoL2KSUWnzOf8Pk99K46tImIL+VxlYODNRaFymlTMBKpdRCrfXaM8rY5bdyLfeEdQX2aK0ztNYVwGzgRjvHdM3TWi8Hjl+kyI3ATF1tLeCrlAppnOiuXXVoF9HItNbZWuvNNe8LgXQg7Jxi8ntpRHVsE9HIav73X1Tz0VTzOndAvF1+K9dyEhYGHDzjcxa1/1h61HRhLlRKtW+c0MRF1LXdROOT34qdKKUigARg3Tm75PdiJxdpE5DfSqNTShmVUilADrBYa+0Qv5Vr9nYkoGrZdm5mvJnq5QaKlFIjgO+p7qoU9lOXdhONT34rdqKU8gTmAY9orQvO3V3LIfJ7sbFLtIn8VuxAa20G4pVSvsB3SqkOWuszx7ja5bdyLfeEZQHNzvgcDhw+s4DWuuBUF6bWegFgUkoFNF6IohaXbDfR+OS3Yh8141vmAbO01t/WUkR+L43sUm0ivxX70lqfBJKAYefssstv5VpOwjYAbZRSkUopZ2Ac8OOZBZRSwUopVfO+K9XfV16jRyrO9CNwV82TLN2BfK11tr2DutbJb6Xx1XzfHwPpWus3LlBMfi+NqC5tIr+VxqeUCqzpAUMp5QZcB+w4p5hdfivX7O1IrXWVUupB4FfACHyitU5TSk2u2T8VGAP8WSlVBZQC47TMbmtTSqmvgP5AgFIqC3iW6kGUp9pkATAC2AOUABPsE+m1pQ7tIr+VxtcLuBPYWjPWBeDvQHOQ34ud1KVN5LfS+EKAz2pmRTAAc7XWP53z771dfisyY74QQgghhB1cy7cjhRBCCCHsRpIwIYQQQgg7kCRMCCGEEMIOJAkTQgghhLADScKEEEIIIexAkjAhhMNSSv1DKZWmlEpVSqUopbrVbH9EKeV+keOmK6Viat4XXajcJc7dXymVr5RKVkqlK6WevUC5RKXUO5dzDiHEtU2mqBBCOCSlVA/gDaC/1rq8ZlZxZ631YaVUJpCotT5Wy3HGmiVKTn0u0lp7Xsb5+wOPaa1HKaU8gBSq53TadEYZJ611VX3rFkIIkJ4wIYTjCgGOaa3LAbTWx2oSsL8AocAypdQyqE60lFL/Ukqto3px5CSlVOKZlSmlApRSa5RSI2tm0J6nlNpQ8+p1sUC01sXAJqCVUuo5pdQ0pdQiYGZNj9lPNefwVErNUEptrem9u6Vm+5Cac29WSn1ds7agEOIaJ0mYEMJRLQKaKaV2KaU+UEr1A9Bav0P1mm4DtNYDasp6ANu01t201ivPrUgpFQT8DDyjtf4ZeBt4U2vdBbgFmH6xQJRS/kB3IK1mU2fgRq31H84p+jTVy53Eaq3jgKU1PXj/BK7TWncCNgKP1u+rEEJcja7ZZYuEEI5Na12klOoM9AEGAHOUUk9qrT+tpbiZ6kWTa2MCfgMe0Fr/XrPtOiCmZgk/AG+llJfWuvCcY/sopZIBC/BKzdJmtwI/aq1LaznXdVSvQ3vqGk4opUYBMcCqmvM5A2sudu1CiGuDJGFCCIdVM7YrCUhSSm0F7gY+raVo2ZnjwM5RRfWtxKHAqSTMAPS4QCJ1phVa61G1bC++QHkFnDvQVgGLtda3X+JcQohrjNyOFEI4JKVUW6VUmzM2xQP7a94XAl51rEoD9wLRSqkna7YtAh4841zxDQr2f86t1w9YC/RSSrWu2eaulIqy0vmEEFcwScKEEI7KE/hMKbVdKZVK9S2952r2TQMWnhqYfyk1vWTjgAFKqfuBvwCJNYPntwOTrRTzi4CfUmqbUmoL1ePWcoF7gK9qrmMtEG2l8wkhrmAyRYUQQgghhB1IT5gQQgghhB1IEiaEEEIIYQeShAkhhBBC2IEkYUIIIYQQdiBJmBBCCCGEHUgSJoQQQghhB5KECSGEEELYgSRhQgghhBB28P+kD3MB0CZXgQAAAABJRU5ErkJggg==\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
+       "<Figure size 1000x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -526,7 +467,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -535,7 +476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -544,7 +485,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -553,7 +494,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -562,9 +503,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA04AAAINCAYAAAAJGy/3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAADNwklEQVR4nOzdd1xV5R/A8c+5g71EZYPgwi3ukTNHamWmqWVl5MpZ7mynpbl3meVMTTNNfw00R+Lee+UEQURxMETWXb8/rpIoKiBwAb/v1+u+4J7znPN8zz0OvjzP+T6KyWQyIYQQQgghhBDikVSWDkAIIYQQQgghCjpJnIQQQgghhBDiCSRxEkIIIYQQQognkMRJCCGEEEIIIZ5AEichhBBCCCGEeAJJnIQQQgghhBDiCSRxEkIIIYQQQognkMRJCCGEEEIIIZ5AY+kA8pvRaOTKlSs4OjqiKIqlwxFCCCGEEEJYiMlk4vbt23h5eaFSPX5M6ZlLnK5cuYKvr6+lwxBCCCGEEEIUEJGRkfj4+Dy2zTOXODk6OgLmD8fJyckiMeh0OjZs2EDr1q3RarUWiUHkPrmvRZPc16JJ7mvRJPe16JF7WjQVpPuakJCAr69veo7wOM9c4nRvep6Tk5NFEyc7OzucnJws/odF5B65r0WT3NeiSe5r0ST3teiRe1o0FcT7mpVHeKQ4hBBCCCGEEEI8gSROQgghhBBCCPEEkjgJIYQQQgghxBM8c884CSGEEEJYkslkQq/XYzAYLB1KgafT6dBoNKSkpMjnVYTk933VarWo1eqnPo8kTkIIIYQQ+SQtLY3o6GiSkpIsHUqhYDKZ8PDwIDIyUtbfLELy+74qioKPjw8ODg5PdR5JnIQQQggh8oHRaCQsLAy1Wo2XlxdWVlaSDDyB0WgkMTERBweHJy5OKgqP/LyvJpOJ69evc/nyZcqVK/dUI0+SOAkhhBBC5IO0tDSMRiO+vr7Y2dlZOpxCwWg0kpaWho2NjSRORUh+39eSJUsSHh6OTqd7qsRJ/gQKIYQQQuQjSQCEyF+5NbIrf3OFEEIIIYQQ4gkkcRJCCCGEEEKIJ5DESQghhBBCPBV/f3+mT59u6TAKFEVRWLt2bZbbBwcH06FDhzyLRzw9SZyEEEIIIcRT2b9/P3369LF0GLniyy+/JCgoyNJh0KxZMwYPHmzpMMR9pKqeEEIIIYR4KiVLlrR0CELkOYuOOG3bto2XX34ZLy+vLA9nbt26lVq1amFjY0Pp0qX5/vvv8z5QIYQQQog8YDKZSErTW+RlMpmyHGezZs0YOHAgAwcOxMXFheLFi/Ppp5+mn+PBqXqKojBnzhzatm2Lra0tAQEB/Prrr+n709LSGDhwIJ6entjY2ODv788333yTpVi+/PJL/Pz8sLa2xsvLi/fffz99n7+/P1999RXdunXDwcEBLy8vZs2aleH4iIgIXnnlFRwcHHBycqJLly5cu3YNgEWLFjF69GiOHj2KoigoisKiRYueGNO5c+do0qQJNjY2VKpUiY0bNz7UJioqiq5du1KsWDGKFy/OK6+8Qnh4eKbnCw4OZuvWrcyYMSM9jvDwcAwGAz179iQgIABbW1sCAwOZMWNGlj438fQsOuJ0584dqlevzrvvvkunTp2e2D4sLIx27drRu3dvli5dys6dO+nfvz8lS5bM0vFCCCGEEAVJss5Apc//tkjfp8a8gJ1V1n8UXLx4MT179mTv3r0cOHCAPn36UKpUKXr37p1p+88++4zx48czY8YMlixZwhtvvEGVKlWoWLEiM2fO5Pfff2flypX4+fkRGRlJZGTkE2NYtWoV06ZNY8WKFVSuXJmrV69y9OjRDG0mTZrExx9/zJdffsnff//NkCFDqFChAq1atcJkMtGhQwfs7e3ZunUrer2e/v3707VrV0JDQ+natSsnTpxg/fr1bNq0CQBnZ+fHxmQ0GunYsSMlSpRgz549JCQkPDTFLikpiebNm9O4cWO2bduGRqPh66+/pk2bNhw7dgwrK6sM7WfMmMHZs2epUqUKY8aMAcyjekajER8fH1auXEmJEiXYtWsXffr0wdPTky5dujzx8xNPx6KJU9u2bWnbtm2W23///ff4+fml/0ajYsWKHDhwgMmTJ0viJIQQQgiRh3x9fZk2bRqKohAYGMjx48eZNm3aIxOnzp0706tXLwC++uorNm7cyKxZs/juu++IiIigXLlyNGrUCEVRKFWqVJZiiIiIwMPDg5YtW6LVavHz86Nu3boZ2jz33HOMGjUKgPLly7Nz506mTZtGq1at2LRpE8eOHSMsLAxfX18AlixZQuXKldm/fz916tTBwcEBjUaDh4dHlmLatGkTp0+fJjw8HB8fHwDGjRuX4WfcFStWoFKpmDdvXvqaQgsXLsTFxYXQ0FBat26d4ZzOzs5YWVlhZ2eXIQ61Ws3o0aPT3wcEBLBr1y5WrlwpiVM+KFTPOO3evfuhP1gvvPAC8+fPR6fTodVqLRRZDsWGw43Tlo5C5BLFYMAz7iDKv0bIyarUDy3OlslibZkt4KaozC+Uu99ntk15eJtaA2orUFuDxuru91agsTZ/VWky708IIUSusdWqOTXmBYv1nR3169fPsJBogwYNmDJlCgaDIdP2DRo0eOj9kSNHAPNUtFatWhEYGEibNm146aWXHvoZLzOdO3dm+vTplC5dmjZt2tCuXTtefvllNJr/fqTNrN97v3Q/ffo0vr6+6UkTQKVKlXBxceH06dPUqVPniTE86PTp0/j5+aUnTZnFcPDgQc6fP4+jo2OG7SkpKVy4cCFb/X3//ffMmzePS5cukZycTFpaWoEoZvEsKFSJ09WrV3F3d8+wzd3dHb1ez40bN/D09HzomNTUVFJTU9PfJyQkAKDT6dDpdHkb8CPc69d0bhNsHGWRGETu0wB1AcIsHEguMaHcTaK05uTqXmJlZYfJrjjYFcdkVwIyfO/63zZbV1DlIIEsYO79fbXUvxcib8h9LZoK+n3V6XSYTCaMRiNGozF9u43GMo+cm0ymbD3ndC/2e+59f+9rZvvvf28ymVAUBaPRSFBQEBcuXGDdunVs3ryZLl260KJFiwzPQd075v5ze3t7c/r0aTZu3MjmzZvp378/kyZNYsuWLem/QH8wjvv7NRqN6d9n9lkYjcb0Ph9s8ygPfg73x32vT4PBQK1atViyZMlDx9+bgnd/DPef5/73K1euZMiQIUyePJn69evj6OjI5MmT2bdvX5bjLQgevK957d7nq9PpUD/wy+3s/HtRqBInIMNvOuC/D/7B7fd88803GYY079mwYQN2dna5H2A2HDl/hTL25Swagyj4FO77Ty2T/+DM+00oprtfMYHJ9N/2B97f+15lMqCY9KhNelRGHSqTPkNfCibQp5hf3H6gzyczoZCmtidN40iqxolUrRMJNr7E2QUQZxdAmtYpB5+G5WT2oK8o/OS+Fk0F9b7em/6VmJhIWlqapcPJFr1ez+7du9N/AQ3mIl9lypThzp07GI1GUlJSMuzfvn17hnWJdu3aRdWqVTO0uffYRtu2bXnttde4dOkSxYoVe6j/27cz/j/UrFkzmjVrRvfu3albty579uyhevXqGI1GduzY8VAcZcqUISEhgVKlShEREcGpU6fSR4j+/fdf4uPj8fPzIyEhAaPRSFpaWoZzPM69c545cyb9l/ibN28GIDk5mYSEBCpWrMgvv/yCjY0NTk4P//+XkJCATqdDr9en96tSqdKPv+eff/6hbt26vPnmm+nbzp49i8FgyHK8BcmD9zWvpKWlkZyczLZt29Dr9Rn2JSUlZfk8hSpx8vDw4OrVqxm2xcTEoNFoKF68eKbHfPTRRwwdOjT9fUJCAr6+vrRu3TrTP7j5QafTsXHjRqp0/git9nOLxCBy37372qpVq0I3bdR494VRD/pUMKT999KngkEHhlQUQxqk3YGkGyhJN+HOTZSkG5B0E5Lufp98CyU5FgUT1oZErA2JOKZGA+DN/vQ+Tc6+mDxrYPIMwuQVhMkjCGwKXjJVmO+reDS5r0VTQb+vKSkpREZG4uDggI2NjaXDyRaNRkNUVBSjR4+mT58+HDp0iB9//JFJkybh5OSESqV6KCn4/fffadCgAY0aNeLnn3/m4MGDLFiwACcnJ6ZPn46HhwdBQUGoVCpCQkLw8PDA19cXleq/ETiTycTt27dxdHRMr3BnMBioV68ednZ2rF27FltbWypVqpQex759+5g7dy6vvPIKmzZt4n//+x9//PEHTk5OtG/fnmrVqtG/f3+mTp2KXq9n4MCBNG3alKZNmwIQGBhIREQEFy9exMfHB0dHR6ytrR/52bRv357AwEAGDRrEpEmTSEhISK8QaGtri5OTEz179uTbb7/lnXfe4csvv8THx4eIiAjWrFnD8OHD8fHxQavVotFo0j/DMmXKcOTIEW7duoWDgwOurq5UqlSJX375hd27dxMQEMDSpUs5fPgwAQEBFvu5NicevK95LSUlBVtb2/TKh/fLTsJZqBKnBg0a8Mcff2TYtmHDBmrXrv3IfyCtra0z/cOu1Wot/o9qQYhB5L7CfV+1YG379Kcx6CH5Fty5AUk3zF9vR0P0UbhyGG6cRYmPRImPhH9//++44mXBqyZ41wSvGuBRDawsOzJ8T+G+r+JR5L4WTQX1vhoMBhRFQaVSZUgOCovu3buTkpJC/fr1UavVDBo0iL59+6b/4Hvv2u4ZPXo0K1euZODAgXh4eLBs2TKqVKkCgKOjI5MmTeLcuXOo1Wrq1KlDSEhIhmeV4L/pb/fO7erqyvjx4xk+fDgGg4GqVavyxx9/ZFhHatiwYRw6dIgxY8bg6OjIlClTMhRqWLt2LYMGDaJZs2aoVCratGnDrFmz0mPv3Lkza9eupUWLFsTFxbFw4UKCg4Mf+bmoVCrWrFlDz549qV+/Pv7+/sycOZM2bdqk32sHBwe2bdvGhx9+yGuvvcbt27fx9vamRYsWuLi4oFKp0suO34tjxIgRvPPOO1SpUoXk5GTCwsLo168fR48e5Y033kBRFN544w369+/PunXrCtWfqQfva1679/lm9m9Ddv6tsGjilJiYyPnz59Pfh4WFceTIEVxdXfHz8+Ojjz4iKiqKn376CYC+ffsye/Zshg4dSu/evdm9ezfz589n+fLllroEIURm1BpwcDO/MpOSANFHIOqQOZG6cgjiIuDmefPr+EpzO0UFJStCmeZQpye4ls63SxBCCJGRVqtl+vTpzJkz56F9ma1H5OXlxYYNGzI9V+/evR9Zje9xOnTokGH6X2acnJz45ZdfHrnfz8+P//3vf4/cb21tzapVq7IVV/ny5dm+fXuGbQ8+P+bh4cHixYsfeY4H14sqX748u3fvfqjdwoULWbhwYYZtWV0DSzwdiyZOBw4coHnz5unv702pe+edd1i0aBHR0dFERESk7w8ICCAkJIQhQ4bw7bff4uXlxcyZM6UUuRCFjY0TBDQxv+65cwOuHDEnUVGHzF8Tr0HMSfNr97dQ/gWo2wfKPC8V/4QQQgiRryyaODVr1uyx1VwyW6m5adOmHDp0KA+jEkJYhH0JKNfS/Lon4QpE7oPDS+H8Rji73vwqUd6cQFV/HawdH31OIYQQhcqyZct47733Mt1XqlQpTp48mc8RFcyYhGUUqmechBDPGCcvqNzB/LpxHvb/CIeXwY2zEDIcNo+BoDehbm8oXsbS0QohRJEVGhqarfbZKXN+v/bt21OvXr3090ajkcTERBwcHB5boOGezKYMPq0HY7pfQXyWTuQdSZyEEIVDibLQdgI8/ykcWQ77foCb52DvHPOrbCuo9x6UaQGF6AFZIYQQ/3F0dMywSKzRaCQhISG9Yl5BiEk8u+SnCyFE4WLtCPX6wIB98NZqKPcCoJin8i17DWbXhj3fmwtQCCGEEELkEkmchBCFk0oFZVvCmyth0EGo3x+sneDWBVj/IUytCCEjITnO0pEKIYQQogiQxEkIUfgVLwNtvoGhp6HdZCgRCGmJsG8uzG1iLnkuhBBCCPEUJHESQhQd1g7mQhED9sJbv4GLH8RdgvmtYd+PkMOHlYUQQgghpDiEBekNRgwYLB2GyCU6nYE0A6ToDBhy+XcS9y9ZpJBx/SKVcnfl7btfBeYPrGwLeG8brB0AZ/4yV+G7tAvaz5QS5kIIIYTINkmcLOiXg1F8+cdpS4chcpWGEfs2WzQCRQGVYk6vVIoCyt3kiv+SK0UBrVqFVq2gVauw0qiwuvv13nYrjRortXLfNvN+W60aV3sritlZ4Wp/76XF1d4aZ1stalUBSt5si8Hry8yL5276Ak7+BlePQefF4FHF0tEJIUSR4e/vz+DBgxk8eHCe93X16lXefvttdu3ahVarJS4u7qnP+bTxK4rCmjVr6NChQ5baBwcHExcXx9q1a3PUn7AMSZyEKGJMJjCkT0nL36lpigIutlqK2VtR/L7k6t77QA9Hqno742Jnlb9BNRwIvnXh12C4eR7mtYB2k6DG2xmH84QQQuTI/v37sbe3z5e+pk2bRnR0NEeOHMHZ2Tlf+sxrzZo1IygoiOnTp1s6FPEYkjhZUJda3nSu7WfpMEQu0el0bNiwgdatW2d7QbwH05vMFg7MLAUymcw7jCYTJsxfjSbT3W1gwmT+ajJhMpnb32tjMJpI1RvRGYyk6Y3oDCZ0BuMD24yk3bc/TW8kKU3PrTtpxCalcevOf6+EFD0mE8Qm6YhN0nHx+p1HXq9PMVuqejtT5e6rqrczrvZ5nEz51oX3tsOa98yly38fZJ669+IUsMqf/+yFEKKoKlmyZL71deHCBWrVqkW5cuXyrU8hQBIni9KqVWi1cguKCp3KhLUa7K01z+R91RmMxCalEXtHl55Y3byTRuzdxOpaQgqnohO4dDOJy7HJXI5NZt2Jq+nHe7vYUsXbKUNCVcLhyavEZ4t9cei2EnZOg3++hqPLzRX3uvwEJQNzty8hhMgKkwl0SZbpW2uX5VH3Zs2aUaWKeYrz0qVLUavV9OvXj6+++gpFUR6a6qYoCt999x2///47oaGheHh4MHHiRDp37gxAWloaQ4cOZfXq1cTGxuLh4cF7773HRx999Ng4/P39uXTpEgA//fQT77zzDsePH6dbt24MGzYMgA4dOvDnn39y69YtnJycuHr1Kp6envz7778EBgYSExNDz5492bRpEx4eHnz99dfZ+tjOnTtHz5492bdvH6VLl2bGjBkPtYmKimLo0KFs2LABlUpFo0aNmDFjBv7+/g+1DQ4OZuvWrWzdujX9XGFhYfj6+tKnTx/++ecfrl69ip+fH/379+eDDz7IVrwi9zx7P90JIfKEVq3CzdEGN0ebx7aLT9Zx8ko8J6LiOR6VwImoeMJu3CEqLpmouGT+Pnktva2nsw1VvJ1pVLYEHWp442ybvZG8TKlU0HgY+NaDVT3h+r/wQzN4aTpU7/r05xdCiOzQJcE4L8v0/fGVbI24L168mJ49e7J3714OHDhAnz59KFWqFL179860/Weffcb48eOZMWMGS5Ys4Y033qBKlSpUrFiRmTNn8vvvv7Ny5Ur8/PyIjIwkMjLyiTHs37+f7t274+TkxIwZM7C1tWXMmDGEhoYybNgwTCYT27dvp1ixYuzYsYN27dqxZcsWPDw8CAw0/4IsODiYyMhI/vnnH6ysrHj//feJiYnJ0mdgNBrp2LEjJUqUYM+ePSQkJDz0XFRSUhLNmzencePGbNu2DY1Gw9dff02bNm04duwYVlYZZ1jMmDGDs2fPUqVKFcaMGQOYR/CMRiM+Pj6sXLmSEiVKsGvXLvr06YOnpyddunTJUrwid0niJITIV862WhqWKUHDMiXStyWk6DgZlcDJK/EcjzK/wm7cITo+hej4FDaeusb4df/ySpAXb9UvRRXvXJjT7t8I+m6H1b0gbCus6QOXdkLbCaC1ffrzCyFEEePr68u0adNQFIXAwECOHz/OtGnTHpk4de7cmV69egHw1VdfsXHjRmbNmsV3331HREQE5cqVo1GjRiiKQqlSpbIUQ8mSJbG2tsbW1hYPDw/APBo2f/58jEYjx48fR61W89ZbbxEaGkq7du0IDQ2ladOmAJw9e5Z169axZ88e6tWrB8D8+fOpWLFilvrftGkTp0+fJjw8HB8fHwDGjRtH27Zt09usWLEClUrFvHnz0qvdLly4EBcXF0JDQ2ndunWGczo7O2NlZYWdnV36NQGo1WpGjx6d/j4gIIBdu3axcuVKSZwsRBInIYTFOdloaVCmOA3KFE/flpiq52RUPEci4/jtUBRnrt1mxf5IVuyPpIafC2/VK8WL1Tyx0apz3rGDG7y9BrZOhK0T4NBiiDoEXRabF9UVQoi8prUzj/xYqu9sqF+/foZlLxo0aMCUKVMwGDJfWqVBgwYPvT9y5AhgHvVp1aoVgYGBtGnThpdeeumhhCKrmjRpwu3btzl8+DA7d+6kadOmNG/ePH0KXmhoaPqo0OnTp9FoNNSuXTv9+AoVKuDi4pKlvk6fPo2fn1960pTZdR48eJDz58/j6Jhx6YuUlBQuXLiQrWv7/vvvmTdvHpcuXSI5OZm0tDSCgoKydQ6ReyRxEkIUSA7WGuqVLk690sXp06Q0+8NjWbrnEutORHM4Io7DEXF8/dcputT2pVs9P0oVz2GBB5Uamn8EfvVgdW+4dhzmNoVO8yCwTe5elBBCPEhRnqkCNfcSr5o1axIWFsa6devYtGkTXbp0oWXLlqxatSrb53R2diYoKIjQ0FB27drF888/T+PGjTly5Ajnzp3j7NmzNGvWDPiv+FJO1z3MrHjTg+cyGo3UqlWLZcuWPdQ2O0U0Vq5cyZAhQ5gyZQoNGjTA0dGRSZMmsXfv3uwHLnJF7q7SKYQQeUBRFOoGuDLzjRrsGtWCES8E4u1iS2ySjrnbLtJ0UijvLNjHplPXMBhzWIK9zPPQdwf4NYS02/DrO3D5YO5eiBBCFGJ79ux56H25cuVQqzMf+c+sfYUKFdLfOzk50bVrV3788Ud++eUXVq9eza1bt3IUW7NmzdiyZQvbtm2jWbNmuLi4UKlSJb7++mvc3NzSp+JVrFgRvV7PgQMH0o89c+ZMlteCqlSpEhEREVy58t8o4e7duzO0qVmzJufOncPNzY2yZctmeD2qfLqVldVDI3fbt2+nYcOG9O/fnxo1alC2bNlsj1iJ3CWJkxCiUCnpaM2A5mXZNrI587rXpllgSRQFtp69Tq+fDtBk4ha+3XKe67dTs39yJ0945w8o9wLoU2D56xD/5IeVhRDiWRAZGcnQoUM5c+YMy5cvZ9asWY+t8Pbrr7+yYMECzp49yxdffMG+ffsYOHAgYF6LacWKFfz777+cPXuWX3/9FQ8PjyxPmXtQs2bNWL9+PYqiUKlSpfRty5YtS3++CUifGti7d2/27t3LwYMH6dWrF7a2WXu2tWXLlgQGBtK9e3eOHj3K9u3b+eSTTzK0efPNNylRogSvvPIK27dvJywsjK1bt/LBBx9w+fLlTM/r7+/P3r17CQ8P58aNGxiNRsqWLcuBAwf4+++/OXv2LJ999hn79+/P0ecjcockTkKIQkmtUmhZyZ1F79YldHgz3mtSmmJ2WqLikpn09xkajt/M+8sPczU+JZsn1sBr88G9CtyJQfNLNzSG5Ly5CCGEKES6d+9OcnIydevWZcCAAQwaNIg+ffo8sv3o0aNZsWIF1apVY/HixSxbtiw9qXFwcGDChAnUrl2bOnXqEB4eTkhICCpVzn40bdKkCQBNmzZNnzrXtGlTDAZDhsQJzIUafH19adq0KR07dqRPnz64ubllqR+VSsWaNWtITU2lbt269OrVi7Fjx2ZoY2dnx7Zt2/Dz86Njx45UrFiRHj16kJycjJOTU6bnHT58OGq1mkqVKlGyZEkiIiLo27cvHTt2pGvXrtSrV4+bN2/Sv3//7H40IhcppswmaxZhCQkJODs7Ex8f/8g/vHlNp9MREhJCu3btsr1Qqii45L5aXorOQMjxaJbuucShiDgAitlpmdy5Oi0qumfvZPGX4cfnIfEa1xyr4TpwA1prqbZXVMjf16KpoN/XlJQUwsLCCAgIwMbm8Us3FDTNmjUjKCiI6dOnZ6m9oiisWbOGDh06PFW/RqORhIQEnJyccpxUiYInv+/r4/7uZSc3kD+BQogiw0arpmNNH37r/xx/DmpEFW8nYpN09Fx8gNF/nCRVn3nlp0w5+8AbKzBpbHG/fQzVho/NC1UKIYQQ4pkkiZMQokiq4u3M6n4N6fFcAAALd4bT8btdXLyemPWTeNfE8Mr3mFBQH1wAe+fmUbRCCCEAli1bhoODQ/rLyckJHx8fnJycqFy5cr73f/8rP/oXBZuUIxdCFFnWGjWfv1yJRuWKM/zXY5y8ksBLs3bw1StV6FTL58knAEwVXuSUVxcqX/kF/v4IivlLmXIhxDMnNDQ0W+1z+iRI+/bt0xemBfOUrsTERBwcHLC2ts7ROZ+m//sVxOmfIn9J4iSEKPKer+DOug8aM3jFEXZfvMmwX4+y4/wNvupQBQfrJ/8zeN6tHRXdtKiOLIVVPaDn3+BRNR8iF0KIZ4ujo2OGhWPz+1mYB/sX4n4yVU8I8Uxwd7Jhaa96DG9dHrVKYc3hKF6auZ3jl+OffLCiYGgzCQKagO4O/NwVEqLzPmghhBBCFBiSOAkhnhlqlcLA58vxS5/6eLvYEn4ziY5zdjJv+0WMT1o4V62FLj9BifKQEGVe4yntTv4ELoQQQgiLk8RJCPHMqe3vSsj7jWlbxQOdwcTXf52mx+L93Eh8wqK5tsWg2y9gVxyij8BvfcBozJeYhRBCCGFZkjgJIZ5JznZavnuzJl93qIK1RkXomeu0nbGdnedvPP5A19Lw+s+gtoJ//4RNX+RPwEIIIYSwKEmchBDPLEVReKt+KX4f2Ihybg5cv53KW/P3Munvf9EZHjOS5FcfXvnO/P2umXBwcf4ELIQQQgiLkcRJCPHMC/Rw5PeBjXijrh8mE3y75QJ9lxxE/7jkqVpnaPaR+fu/hsLF0HyJVQghRMHRrFkzBg8enOX2ixYtwsXFJc/ieVY8+Dnm1+cqiZMQQgC2Vmq+6ViVb7vVxEarYvO/MXz2v5OPX4uk6YdQtTMY9fBLd7h+Jv8CFkKIQiI0NBRFUYiLi7N0KOkKSkxffvklQUFBFo2hKOjatStnz57N834kcRJCiPu8WM2TGa/XQFFg+b4Ivt8W9ujGigLtZ4NvfUiNh5+7wJ0nPCMlhBBCFDA6nc7SITwVW1tb3Nzc8rwfSZyEEOIBL1T2YHT7ygBM3XSefdeVRzfW2sDry6CYP8SGw4o3waDPlziFECK/NGvWjIEDBzJw4EBcXFwoXrw4n376afqofGpqKiNHjsTX1xdra2vKlSvH/PnzCQ8Pp3nz5gAUK1YMRVEIDg5+Yn+rVq2iatWq2NvbU7p0aVq3bs2dO+YlIIKDg+nQoQOjR4/Gzc0NJycn3nvvPdLS0tKPT01N5f3338fNzQ0bGxsaNWrE/v37AXIc0507d+jevTsODg54enoyZcqUh9qkpaUxcuRIvL29sbe3p169eoSGhmZ6vkWLFjF69GiOHj2KoigoisKiRYsAmDp1avr1+/r60r9/fxITE58Y473zuri4sHbtWsqXL4+NjQ2tWrUiMjIyvc29ka4FCxZQunRprK2tMZlMxMfH06dPn/TP9fnnn+fo0aOZHufn54eDgwP9+vXDYDAwceJEPDw8cHNzY+zYsVmKNavXumjRIvz8/LCzs+PVV1/l5s2bmV5zXtPkeQ9CCFEIdW/gT1RcMnO3XmT5BRWtLtykWQWPzBvbl4Buv8K8lhC5B/bNhQYD8jdgIUShZDKZSNYnW6RvW40tivKYXww9YPHixfTs2ZO9e/dy4MAB+vTpQ6lSpejduzfdu3dn9+7dzJw5k+rVqxMWFsaNGzfw9fVl9erVdOrUiTNnzuDk5IStre1j+4mOjuaNN95g4sSJvPLKK0RHR3PkyJEMU6c3b96MjY0NW7ZsITw8nHfffZcSJUqk/8A+cuRIVq9ezeLFiylVqhQTJ07khRde4Pz58zmKCWDEiBFs2bKFNWvW4OHhwccff8zBgwczTLV79913CQ8PZ8WKFXh5ebFmzRratGnD8ePHKVeuXIbzde3alRMnTrB+/Xo2bdoEgLOzMwAqlYqZM2fi7+9PWFgY/fv3Z+TIkXz33XdZuldJSUmMHTuWxYsXY2VlRf/+/Xn99dfZuXNnepvz58+zcuVKVq9ejVqtBuDFF1/E1dWVkJAQnJ2dmTt3Li1atODs2bO4uroCcOHCBdatW8f69eu5cOECr732GmFhYZQvX56tW7eya9cuevToQYsWLahfv/4TY33Ste7du5cePXowbtw4OnbsyPr16/niC8tUtJXESQghHuHDFypw+VYSfx2/yoDlR/j1vYZU8nLKvHHJ8tD6K/jjfdgyDip1AGfvfI1XCFH4JOuTqfdzPYv0vbfbXuy0dllu7+vry7Rp01AUhcDAQI4fP860adNo2rQpK1euZOPGjbRs2RKA0qVLpx937wduNze3LI0KREdHo9fr6dixI76+vri6utKgQQNUqv8mSllZWbFgwQLs7OyoXLkyY8aMYcSIEXz11VckJyczZ84cFi1aRNu2bQH48ccf2bhxI/Pnz2fEiBHZjikxMZH58+fz008/0apVK8CcSPr4+KS3uXDhAsuXL+fy5ct4eXkBMHz4cNavX8/ChQsZN25chnPa2tri4OCARqPBwyPjL+buLzgREBDAV199Rb9+/bKcOOl0OmbPnk29evXSY61YsSL79u2jbt26gHl0bMmSJZQsWRKAf/75h+PHjxMTE4O1tTUAkydPZu3ataxatYo+ffoAYDQaWbBgAY6OjlSqVInmzZtz5swZQkJCUKlUBAYGMmHCBEJDQ7OUOD3pWmfMmMELL7zAqFGjAChfvjy7du1i/fr1WfoscpNM1RNCiEdQqRQmdKxCWScTd1INvLtoH1fiHvOb4Rpvg09dSEuEvz/Kv0CFECIf1K9fP8MIVYMGDTh37hyHDx9GrVbTtGnTXOmnevXqtGjRgqpVq9KlSxcWL15MbGzsQ23s7P5L+ho0aEBiYiKRkZFcuHABnU7Hc889l75fq9VSt25dTp8+naOYLly4QFpaGg0aNEjf5urqSmBgYPr7Q4cOYTKZKF++PA4ODumvrVu3cuHChWz1t2XLFlq1aoW3tzeOjo50796dmzdvpk9XfBKNRkPt2rXT31eoUAEXF5cM11+qVKn0pAng4MGDJCYmUrx48Qzxh4WFZYjf398fR0fH9Pfu7u5UqlQpQ2Lr7u5OTExMrlzr6dOnM3zuwEPv84uMOAkhxGNYa1T0DDSw4JIz52LuELxwH7/2bYizrfbhxioVvDQN5jaBU/+Dc5ugXMv8D1oIUWjYamzZ222vxfrODTY2NrlynnvUajUbN25k165d/P333/zwww+MHTuWvXv3EhAQ8NhjFUVJn9L34DREk8mUramJDx77JEajEbVazcGDB9Onvt3j4OCQ5b4uXbpEu3bt6Nu3L1999RWurq7s2LGDnj17ZquIQ2bXev82e3v7h+L39PTM9Jms+0fltNqM//8pipLpNqPxMUt63JWVa83KZ59fZMRJCCGewE4D896uibuTNWevJdJ3yUFS9YbMG3tUgfr9zN+HDAOdZZ5dEEIUDoqiYKe1s8gru0nEnj17Hnpfrlw5qlevjtFoZOvWrZkeZ2VlBYDB8Ih/Nx/xuTz33HN8+eWXbNu2DSsrK9asWZO+/+jRoyQn//fv6549e3BwcMDHx4eyZctiZWXFjh070vfrdDoOHDhAxYoVcxRT2bJl0Wq1GT6D2NjYDCWwa9SogcFgICYmhrJly2Z4PTgV7x4rK6uHYjhw4AB6vZ4pU6ZQv359ypcvz5UrV7IU5z16vZ4DBw6kvz9z5gxxcXFUqFDhkcfUrFmTq1evotFoHoq/RIkS2eo/q7JyrZUqVcr0z54lSOIkhBBZ4OViy4LgOjhYa9h98SYfrjqG0fiI34I1GwWOXuYqe9un5mucQgiRVyIjIxk6dChnzpxh+fLlzJo1iw8++AB/f3/eeecdevTowdq1awkLCyM0NJSVK1cC5ilhiqLw559/cv369SdWh9u7dy/jxo3jwIEDRERE8Mcff3D9+vX0pAfMz+f07NmTU6dOsW7dOr744gsGDhyISqXC3t6efv36MWLECNavX8+pU6fo3bs3SUlJ9OzZM0cxOTg40LNnT0aMGMHmzZs5ceIEwcHBGaanlS9fnjfffJPu3bvz22+/ERYWxv79+5kwYQIhISGZnvdeQYQjR45w48YNUlNTKVOmDHq9nlmzZnHx4kWWLFnC999/n6V7dI9Wq2XQoEHs3buXQ4cO8e6771K/fv3055sy07JlSxo0aECHDh34+++/CQ8PZ9euXXz66acZkrDclJVrff/991m/fj0TJ07k7NmzzJ492yLPN4EkTkIIkWWVvZyZ81ZNNCqFtUeuMGnDIxa8tXaEtuPN3++cDjfO5VuMQgiRV7p3705ycjJ169ZlwIABDBo0KL1gwJw5c3jttdfo378/FSpUoHfv3unPqHh7ezN69GhGjRqFu7s7AwcOfGw/Tk5ObNu2jXbt2lGhQgXGjh3L5MmT0ws9ALRo0YJy5crRpEkTunTpwssvv8yXX36Zvn/8+PF06tSJt99+m5o1a3L+/Hn+/vtvihUrlqOYACZNmkSTJk1o3749LVu2pFGjRtSqVStDm4ULF9K9e3eGDRtGYGAg7du3Z+/evfj6+mZ6zk6dOtGmTRuaN29OyZIlWb58OUFBQUydOpUJEyZQpUoVli1bxjfffPPE+O5nZ2fHhx9+SLdu3WjQoAG2trasWLHisccoikJISAhNmjShR48elC9fntdff53w8HDc3d2z1X9WZeVa69evz7x585g1axZBQUFs2LCBTz/9NE/ieRLFVJAmDuaDhIQEnJ2diY+Px8npEdWx8phOpyMkJIR27do9NCdUFF5yX4umzO7rqoOXGf6reV2LrzpU4e36pR4+0GSCZZ3h/EYIaALdfzcvmCsKBPn7WjQV9PuakpJCWFgYAQEBuf5cUF5r1qwZQUFBTJ8+PV/7NRqNJCQk4OTklD66ExwcTFxcHGvXrs3XWAqLRYsWMXjwYOLi4iwdyiNldl+fxty5c/nqq6+4fPlypvsf93cvO7mBjDgJIUQ2vVbLh2GtygPwxf9OsPHUtYcbKQq0mwQaGwjbBsdX5XOUQgghRNEXGRlJSEgIlStXzvO+JHESQogcGPh8WV6v44vRBIOWH+JwROzDjVwDoPFw8/d/fwzJcfkaoxBCFEQREREZyl0/+IqIiJCYHqNt27aPjPPBtaIsbdmyZZnG6eTklGslxWvWrMmlS5eYMGFCrpzvcaQcuRBC5ICiKHzdoQrXElLYcuY6vRYfYHW/hviXyFjelefeh2O/wM1z8M/X8OJkywQshBBPIbMS1Tnl5eXFkSNHHrv/cRYtWpRrsdzf59PElJ/mzZuXoaLg/VxdXXF1dSU4ODh/g3qE9u3bpy/Cez+j0UhKSkqu9HH9+vVcOU9WSOIkhBA5pFGrmN2tJq//sIfjUfEEL9zH6n4NKe5gfV8ja3hxCvzUHvbPg6Bu4F3TckELIYSF3St3XZAUxJgexdvb29IhZJmjo2OGxXLvufeMU2EjU/WEEOIp2FtrmB9cG59itoTfTKLXTwdI0z+w6F/pplC1M2CCP4eAMetrmQghhBCiYJDESQghnpKbow2Le9TF2VbL4Yg4ftx+8eFGrceCtTNEH4EDC/I9RiGEEEI8HUmchBAiF5Qp6cCX7SsBMGPzOS5ef2AxRUd3aPGZ+fvNY+B2JpX4hBBCCFFgSeIkhBC5pEOQN43LlSBNb+TjNcd5aJm82j3AqwakJsCGTywTpBBCCCFyRBInIYTIJYqiMLZDVWy0KvZcvMWvBx5YiE+lhhenAgoc/xUuhloiTCGEEELkgCROQgiRi/yK2zH07uK4Y0NOc/12asYG3jWhTi/z938NA/0D+4UQQmAymejTpw8lSpSgWLFijy0VnlXBwcF06NAhx8c3a9aMwYMHZ7n9okWLcHFxyXF/wuzBz9GSn6skTkIIkct6PBdAZS8n4pN1jPnz1MMNnv8U7N3g5nnYOTP/AxRCiHwUGhqKoijExcVl+Zj169ezaNEifv/9d/7991+qVKmSdwHmky+//JKgoCBLh1Hode3albNnz1qkb0mchBAil2nUKsZ3rIZKgT+OXmHLvzEZG9i6wAt3V3ffPhluheV7jEIIUZBduHABT09PGjZsiLu7OxqNLD2aW3Q6naVDeCq2tra4ublZpG9JnIQQIg9U9XGmx3MBAHy69gR3UvUPNHgNApqCPgVCRsCDhSSEEKIAadasGQMHDmTgwIG4uLhQvHhxPv300/QiOKmpqYwcORJfX1+sra0pV64c8+fPJzw8nObNmwNQrFgxFEUhODj4sX0FBwczaNAgIiIiUKvVVKtWjeHDh/Pyyy+nt5k+fTqKovDXX3+lbwsMDGTu3LkAGAwGhg4dmh7ryJEjHy7Y8xh37tyhe/fuODg44OnpyZQpUx5qk5aWxsiRI/H29sbe3p569eoRGhqa6fkWLVrE6NGjOXr0KIqioCgKixYtAmDq1KlUrVoVe3t7fH196d+/P4mJiZmeJ7Pzuri4sHbtWsqXL4+NjQ2tWrUiMjIyvc29ka4FCxZQunRprK2tMZlMxMfH06dPH9zc3HBycuL555/n6NGjmR7n5+eHg4MD/fr1w2AwMHHiRDw8PHBzc2Ps2LFZ/lzvXaujoyOVK1dmwIABD13rokWL8PPzw87OjldffZWbN29mes2WIImTEELkkaGty+PtYktUXDJTNz4wrUBR4MUpoLaC8xvh9O+WCVIIYVEmkwljUpJFXtlJJAAWL16MRqNh7969zJw5k2nTpjFv3jwAunfvzooVK5g5cyanT5/m+++/x8HBAV9fX1avXg3AmTNniI6OZsaMGY/tZ8aMGYwZMwYfHx+ioqL4559/aNq0Kdu3b8doNC8wvnXrVkqUKMHWrVsBuHr1KmfPnqVp06YATJkyhQULFjB//nx27NjBrVu3WLNmTZavdcSIEWzZsoU1a9awYcMGQkNDOXjwYIY27777Ljt37mTFihUcO3aMzp0706ZNG86dO/fQ+bp27cqwYcOoXLky0dHRREdH07VrVwBUKhUzZ87kxIkTLF68mH/++YeRI0dmOdakpCTGjh3L4sWL2blzJwkJCbz++usZ2pw/f56VK1eyevXq9OfFXnzxRa5evUpISAgHDx6kZs2atGjRglu3bqUfd+HCBdatW8f69etZvnw5CxYs4MUXX+Ty5cts3bqVCRMm8Omnn7Jnz54sxXrvWo8dO8acOXPYsmVLhmvdu3cvPXr0oH///hw5coTmzZvz9ddfZ/mzyGsy7imEEHnEzkrD2FerELxwPwt3htG+uhfVfV3+a1CiHDz3AWybBOtGQZnnwdrRYvEKIfKfKTmZMzVrWaTvwEMHUezsstze19eXadOmoSgKgYGBHD9+nGnTptG0aVNWrlzJxo0badmyJQClS5dOP87V1RUANze3LI0UODs74+joiFqtxsPDg4SEBJo0acLt27c5fPgwNWvWZPv27QwfPpzffvsNgC1btuDu7k6FChUA84jURx99RKdOnQD4/vvv+fvvv7N0nYmJicyfP5+ffvqJVq1aAeak0cfHJ73NhQsXWL58OZcvX8bLywuA4cOHs379ehYuXMi4ceMynNPW1hYHBwc0Gg0eHh4Z9t1fcCIgIICvvvqKfv368d1332UpXp1Ox+zZs6lXr156rBUrVmTfvn3UrVsXMI+OLVmyhJIlSwLwzz//cPz4cWJiYrC2tgZg8uTJrF27llWrVtGnTx8AjEYjCxYswNHRkUqVKtG8eXPOnDlDSEgIKpWKwMBAJkyYQGhoKPXr139irPeu1Wg0Urx4cUaPHs2AAQPSr3XGjBm88MILjBo1CoDy5cuza9cu1q9fn6XPIq/JiJMQQuShZoFuvBLkhdEEo347js5gzNig8TAo5g+3r0ihCCFEgVa/fn0URUl/36BBA86dO8fhw4dRq9Xpoz15wdnZmaCgIEJDQzl+/DgqlYr33nuPo0ePcvv2bUJDQ9P7j4+PJzo6mgYNGqQfr9FoqF27dpb6unDhAmlpaRmOd3V1JTAwMP39oUOHMJlMlC9fHgcHh/TX1q1buXDhQraubcuWLbRq1Qpvb28cHR3p3r07N2/e5M6dO1k6/sFrq1ChAi4uLpw+fTp9W6lSpdKTJoCDBw+SmJhI8eLFM8QfFhaWIX5/f38cHf/7hZ67uzuVKlVCpVJl2BYT88CzvE+4Vl9fX3x9fQkODs5wradPn87wuQMPvbckGXESQog89tlLldh69jqnoxOYvyOMvk3L/LdTawutxsDK7rB3LjQcCDbOlgtWCJGvFFtbAg8dfHLDPOo7N9jY2OTKeZ6kWbNmhIaGYmVlRdOmTSlWrBiVK1dm586dhIaGZqtU+ONkZQqj0WhErVZz8OBB1Gp1hn0ODg5Z7uvSpUu0a9eOvn378tVXX+Hq6sqOHTvo2bNntoo43J/QZrbN3t7+ofg9PT0zfSbr/lFBrVb70Dkz23ZvCuXj3H+to0ePxsrKiiNHjtC7d+/0a83u9NH8JomTEELksRIO1nzSriIjVh1j+qaztK3iQani9/0nVuFlKFkBrv8L+36AJiMsF6wQIl8pipKt6XKW9OBzLHv27KFcuXJUr14do9HI1q1b06fq3c/KygowF2x4Gs2aNWP+/PloNJr0fpo2bcqKFSsyPN/k7OyMp6cne/bsoUmTJgDo9fr053iepGzZsmi1Wvbs2YOfnx8AsbGxGfqoUaMGBoOBmJgYGjdunKX4raysHvoMDhw4gF6vZ8qUKemjOCtXrszS+e7R6/UcOHAgfVremTNniIuLS5+2mJmaNWty9epVNBoN/v7+2eovp+6/VoCEhATWrVuXoU2lSpUy/XNWUMhUPSGEyAev1fKhYZnipOiMfLLmRMbfqqlU0Hi4+fvd30Fq1qopCSFEfoqMjGTo0KGcOXOG5cuXM2vWLD744AP8/f1555136NGjB2vXriUsLIzQ0ND0BKBUqVIoisKff/7J9evXs1wx7kH3nnP6448/aNasGWBOppYuXUrJkiWpVKlSetsPPviA8ePHs2bNGv7991/69++f5XWkHBwc6NmzJyNGjGDz5s2cOHGC4ODgDNPTypcvz5tvvkn37t357bffCAsLY//+/UyYMIGQkJBMz+vv709YWBhHjhzhxo0bpKamUqZMGfR6PbNmzeLixYssWbKE77//Plufi1arZdCgQezdu5dDhw7x7rvvUr9+/fREKjMtW7akQYMGdOjQgb///pvw8HB27drFp59+yoEDB7LVf1Y9eK0rVqxIr4J4z/vvv8/69euZOHEiZ8+eZfbs2QXm+SaQxEkIIfKFoiiMe7Uq1hoVO87fYM3hqIwNqnQE1zKQfAsOLLBMkEII8Rjdu3cnOTmZunXrMmDAAAYNGpReRGDOnDm89tpr9O/fnwoVKtC7d+/051a8vb0ZPXo0o0aNwt3dnYEDB+aof2dnZ2rUqIGrq2t6ktS4cWOMRuNDz1cNGzaM7t27ExwcTIMGDXB0dOTVV1/Ncl+TJk2iSZMmtG/fnpYtW9KoUSNq1cpYxGPhwoV0796dYcOGERgYSPv27dm7dy++vr6ZnrNTp060adOG5s2bU7JkSZYvX05QUBBTp05lwoQJVKlShWXLlvHNN99k63Oxs7Pjww8/pFu3bjRo0ABbW1tWrFjx2GMURSEkJIQmTZrQo0cPypcvz+uvv054eDju7u7Z6j+r7r/WatWqsWrVqodKmdevX5958+Yxa9YsgoKC2LBhA59++mmexJMTiqmgTybMZQkJCTg7OxMfH4+Tk5NFYtDpdISEhNCuXbuH5omKwkvua9GU2/f1u9DzTFx/hmJ2WjYNbUpxB+v/dh5eCv8bAPZuMPiY+fknkSfk72vRVNDva0pKCmFhYQQEBOTbc0G5pVmzZgQFBTF9+vR87ddoNJKQkICTk1OGER9htmjRIgYPHpzl0bSC4mnu69y5c/nqq6+4fPlylo953N+97OQG8idQCCHyUe/Gpang4Uhsko6xf53OuLNaV3D2gzsxcOgnywQohBBCFFCRkZGEhIRQuXJli/QviZMQQuQjrVrF+E7VUBT47XAU285e/2+nWguNBpu/3zkD9KkWiVEIIfJSREREhhLYD74iIiKKdP/Z0bZt20fG+eBaUZa2bNmyR8aaW4lOzZo1uXTpEhMmTMiV82WXVNUTQoh8FuTrwjsN/Fm0K5xP1h5nw+Cm2FrdLWcb9KZ5QdyEKDjyM9R+17LBCiEEZFq2Oqe8vLw4cuTIY/fnJUv3nx3z5s0jOTk5032urq64uroSHBycv0E9Qvv27dMX4X1Qbk2dvX79+pMb5SFJnIQQwgKGvxDIhpNXibyVzPRNZ/moXUXzDq0NPPcBrB8FO6ZCjbfMI1FCCFFEaDQaypYt+8z2nx3e3t6WDiHLHB0dMyyWWxTJVD0hhLAAB2sNX3WoAsC8HWGciIr/b2fNd8C+JMRFwPFfLRShECKvPGN1uYSwuNz6OyeJkxBCWEiLiu68WM0Tg9HER78dR2+4u/K6lR00uFuud/sUMD7dopFCiILh3nSlpKQkC0cixLMlLS0NALVa/VTnkal6QghhQV+8XIntZ69zPCqen/dF0L2Bv3lHnZ6wczrcPA+n1kKVThaMUgiRG9RqNS4uLsTExADm9XcURbFwVAWb0WgkLS2NlJQUKUdehOTnfTUajVy/fh07Ozs0mqdLfSRxEkIIC3JztGHEC4F89r+TzP7nPF1q+2KjVYO1I9TvD1vGwrbJUOlVkB8ahCj0PDw8ANKTJ/F4JpOJ5ORkbG1tJcksQvL7vqpUKvz8/J66L0mchBDCwrrW8WNO6AWuxKfw894IejQKMO+o2wd2zYKYU3AmBCq+ZNlAhRBPTVEUPD09cXNzQ6fTWTqcAk+n07Ft2zaaNGlSIBc1FjmT3/fVysoqV0a2JHESQggLs9KoGPB8WT5Zc4I5Wy/QrZ6fedTJ1sWcPG2fDNsmQoUXQX7jKkSRoFarn/p5i2eBWq1Gr9djY2MjiVMRUljvq8z7EEKIAqBzLV+8XWy5fjuVpXsu/bejfn/Q2kH0UTi/yXIBCiGEEM84SZyEEKIAsNKoGPi8eV2R77deJDntbiU9++JQu4f5+60TQcoYCyGEEBYhiZMQQhQQr9XywaeYLTcSU1m2975Rp4bvg9oaLu+DsG2WC1AIIYR4hlk8cfruu+8ICAjAxsaGWrVqsX379se2X7ZsGdWrV8fOzg5PT0/effddbt68mU/RCiFE3tGqVQxKH3W6QFKa3rzD0R1qvWP+ftskC0UnhBBCPNssmjj98ssvDB48mE8++YTDhw/TuHFj2rZtS0RERKbtd+zYQffu3enZsycnT57k119/Zf/+/fTq1SufIxdCiLzRsaYPfq523EhMy/is03MfgEoL4dvh0m7LBSiEEEI8oyyaOE2dOpWePXvSq1cvKlasyPTp0/H19WXOnDmZtt+zZw/+/v68//77BAQE0KhRI9577z0OHDiQz5ELIUTe0Kr/e9Zp7taL/406OftAUDfz99snWyg6IYQQ4tllsXLkaWlpHDx4kFGjRmXY3rp1a3bt2pXpMQ0bNuSTTz4hJCSEtm3bEhMTw6pVq3jxxRcf2U9qaiqpqanp7xMSEgBz/XhLrZ9wr19Zv6FokftaNFnivr5UxY1Zm22JjE1m4Y6L9Gl8d12n+oPQHF6Kcn4T+kt7MXnVzLeYihr5+1o0yX0teuSeFk0F6b5mJwbFZLJMiaYrV67g7e3Nzp07adiwYfr2cePGsXjxYs6cOZPpcatWreLdd98lJSUFvV5P+/btWbVq1SNrwH/55ZeMHj36oe0///wzdnZ2uXMxQgiRy/bGKPx8QY29xsQXNQ1Y313upcalufjd2km0c032lR5s0RiFEEKIwi4pKYlu3boRHx+Pk5PTY9tafAFc5YHFHE0m00Pb7jl16hTvv/8+n3/+OS+88ALR0dGMGDGCvn37Mn/+/EyP+eijjxg6dGj6+4SEBHx9fWnduvUTP5y8otPp2LhxI61atSpUi36Jx5P7WjRZ6r62NhjZOXMXl24lEeNckfea3B11ulkO0/cN8Yw/RLtapcC9cr7FVJTI39eiSe5r0SP3tGgqSPf13my0rLBY4lSiRAnUajVXr17NsD0mJgZ3d/dMj/nmm2947rnnGDFiBADVqlXD3t6exo0b8/XXX+Pp6fnQMdbW1lhbWz+0XavVWvxGFYQYRO6T+1o05fd91Wrh/RblGPbrUebvDCe4UWkcrDXgUQkqvwonf0O7ezp0XpRvMRVF8ve1aJL7WvTIPS2aCsJ9zU7/FisOYWVlRa1atdi4cWOG7Rs3bswwde9+SUlJqFQZQ1arzfNXLDTjUAgh8swrQV4ElLAnNknH4l3h/+1oMtz89eRauJ75tGYhhBBC5C6LVtUbOnQo8+bNY8GCBZw+fZohQ4YQERFB3759AfM0u+7du6e3f/nll/ntt9+YM2cOFy9eZOfOnbz//vvUrVsXLy8vS12GEELkCY1axfstzBX2ftx+kdspdx9gda8MFV4CTLB9quUCFEIIIZ4hFk2cunbtyvTp0xkzZgxBQUFs27aNkJAQSpUqBUB0dHSGNZ2Cg4OZOnUqs2fPpkqVKnTu3JnAwEB+++03S12CEELkqfbVvSldwp64R406Hf8Vbl20SGxCCCHEs8SiiRNA//79CQ8PJzU1lYMHD9KkSZP0fYsWLSI0NDRD+0GDBnHy5EmSkpK4cuUKS5cuxdvbO5+jFkKI/KFWKbzfohwAP24P+2/UyasGlG0FJgPsmGbBCIUQQohng8UTJyGEEI/3cnUvypS0Jz5Zx6Kd4f/taGIulMPRX+DOTYvEJoQQQjwrJHESQogCLuOo00US7o06+dUzjzwZUuHwTxaMUAghhCj6JHESQohC4KVqXpR1cyAhRc/CHeH/7ajT2/x1/wIwGiwSmxBCCPEskMRJCCEKAbVK4YO7o07zdlwkPvnuqFOVjmBbDOIj4NwGC0YohBBCFG2SOAkhRCHxYlVPyrs7cDtFz4IdYeaNWluo8bb5+30/Wi44IYQQooiTxEkIIQoJlUrhgxblAViwM+y/Uac6PQEFLmyGmxcsF6AQQghRhEniJIQQhUjbKh4EujtyO0XP/HujTsX8oVxr8/f751ssNiGEEKIok8RJCCEKEZVK4YOW5medFu4IIz7p7qhT3btFIo4shbQkC0UnhBBCFF2SOAkhRCHTprIHFTwcuZ2qZ96Oi+aNZVpAsQBIiYfjv1o2QCGEEKIIksRJCCEKGZVKYfC9Uaed4cQlpYFKdfdZJ2D/j2AyWTBCIYQQouiRxEkIIQqh1pU8qOjpRGKqnh+33x11CnoTNDZw9ThE7rNsgEIIIUQRI4mTEEIUQvePOv20+xJ3UvVg5wpVXzM32C+lyYUQQojcJImTEEIUUq0qulO6hD23U/SsPnTZvLHO3SIRJ9dCYozFYhNCCCGKGkmchBCikFKpFN5p6A/Aop3hGI0m8AoCnzpg1MGhxRaNTwghhChKJHESQohCrFMtHxytNVy8cYdt566bN94bdTqwEAx6ywUnhBBCFCGSOAkhRCHmYK2hSx1fwFxhD4DKHcCuBCREwdl1FotNCCGEKEokcRJCiELunQb+KApsPXud8zGJoLGGmt3NO/dJkQghhBAiN0jiJIQQhZxfcTtaVHAHYPGucPPG2j1AUUHYVrh+1nLBCSGEEEWEJE5CCFEE9HjOH4DVhy4Tn6wDF18o39a8c/88ywUmhBBCFBGSOAkhRBHQoExxAt0dSUoz8OuBSPPGur3MX48uh9TblgtOCCGEKAIkcRJCiCJAURSC7446LdoVjsFogoBmULwspCbAsV8sGZ4QQghR6EniJIQQRUSHIG9c7LRcjk1m8+lroFJBnbujTvvmgclk2QCFEEKIQkwSJyGEKCJsrdS8UdcPuK80efU3QGsH10/DpZ2WC04IIYQo5CRxEkKIIuTt+qVQqxR2X7zJ6egEsHWBal3MO6U0uRBCCJFjkjgJIUQR4uViS5vKHgAsujfqVKe3+eu/f0JCtGUCE0IIIQo5SZyEEKKIefdukYi1R6K4dScNPKqAXwMw6uHgIovGJoQQQhRWkjgJIUQRU6tUMap6O5OqN7J8X4R5470iEQcXgUFnsdiEEEKIwkoSJyGEKGIURUkfdVqy+xI6gxEqtgd7N0i8Cqf/sGyAQgghRCEkiZMQQhRBL1bzpISDNVcTUlh/4iporKBWsHnn/nkWjU0IIYQojCRxEkKIIshao+bNeubS5It2hZs31n4XFLW5LPm1k5YLTgghhCiEJHESQogi6s36fmjVCgcvxXLschw4eUGFF807ZdRJCCGEyBZJnIQQoohyc7Th5WpewH0L4ta9W5r86C+QEm+ZwIQQQohCSBInIYQowoLvFon489gVYhJSwL8xlKwAujtwdIVlgxNCCCEKEUmchBCiCKvm40KtUsXQGUws2xsBivJfafL988BksmyAQgghRCEhiZMQQhRx90qTL9t7iVS9Aap1BSsHuHEWwrdbNjghhBCikJDESQghirgXKnvg6WzDjcQ0/jwaDTZOUPU1887DSy0bnBBCCFFISOIkhBBFnFat4q36pQBYuCsMk8kENbqbd576HyTHWS44IYQQopCQxEkIIZ4B3er6Ya1RcSIqgYOXYsG7JpSsCPoUOLHK0uEJIYQQBZ4kTkII8QwoZm/FqzW8gbulyRUFar5t3inT9YQQQognksRJCCGeEfdKk68/eZUrccnmIhEqLVw5DFdPWDY4IYQQooCTxEkIIZ4RFTycaFC6OAajiSV7LoF9CQhsa955eIllgxNCCCEKOI2lAxBCiILIZDKBXo8xORlVcjKGW7cABZNOB3odJp0Ok15/31fz91ovL6xLB1g6/Ed69zl/dl+8yfJ9Ebz/fDlsa3aH07/DsV+g1RjQWFs6RCGEEKJAksRJCCHuMsTFcXPxYuJW/IIhNjZ9e1kg7MvRWT6PY+vWlBw0EOty5fIgyqfToqI7vq62RN5KZu2RKN6o/Tw4esHtK/DvX1Clo6VDFEIIIQokmaonhHjmGeLiiJkxg/MtWnJzzvcZkqYM1GoUGxtUDg6oXVzQlCyJxssTbSk/rMqUMSdKisLtDRu42P4VokaMJC08PF+v5UnUKoV3GvgDsHBnGCZFBUHdzDtlup4QQgjxSDLiJIR4ZuljY7m1eDGxS5ZivHMHAOvAQEoM6I9dzZooWi164O9Nm2jz0ktYWT95GlvquXNcnzWb2xs2kPDHHySEhOD8agdK9uuH1ts7j68oazrX9mXqxrOcvZbInou3aFDjLdg+GS5sgbhIcPG1dIhCCCFEgSMjTkKIZ44+NpaYadO50KIlN7+fi/HOHawrVMB71kwC1vyGU+vWaEqUQO3sjMrODpNGg6LK2j+X1uXK4TNzBv6rVmHftAkYDMSvWs35Nm25OuYrdNdi8vjqnszZVptemnz5vghwDQD/xoAJjvxs2eCEEEKIAkoSJyHEM0MfG0vM1GnmhGnuXIxJSVhXrIjP7FkE/LYap1atspwgPYltlcr4zZ1LqZ9/xq5+fdDpiP35Zy60bs21CRPR37qVK/3k1Bt1/QBYf+Iqt+6kQY27azodWQpGowUjE0IIIQomSZyEEEWePjaWmClTzQnTDz/8lzB9O5uA31bj2LJlriVMD7KrWYNSixbit2gRtjVqYEpN5dbChZxv2YqY6dMxxMfnSb9PUsXbmWo+zqQZjKw+eBkqtQdrZ4iLgPBtFolJCCGEKMgkcRJCFFn3EqbzLVpy88cfzQlTpYr4fPetOWFq0QJFUfIlFvv69Sj18zJ8f5iLTaVKmJKSuPn9XM63bMWNOXMwJN7Jlzjud2/Uafm+CEwaG6j6mnnHISkSIYQQQjxIEichRJFjMpm49dNP6QmTKSkJm0qVzAnT6tU4Pv98viVM91MUBYcmTfBfvQrvWTOxLlcW4+3bXJ8xkwutWnFn9+58jefl6l7YW6m5eOMOe8NuQc270/VO/wHJj6gsKIQQQjyjJHESQhQpJr2eq2PGcG3cN/clTN/hv3qVxRKmBymKglOrVgSsXYvX5MlYlSqFITaWyH79STpwIN/icLDW0D7oviIRnkHgXgUMqXB8Vb7FIYQQQhQGUo5cCFFkGO/c4fLQodzZug0UBbeRI3ENfidbyZLJZOLUzVPEpsaiN+pJSUvhWNoxjGFGUEBn1KEz6tAb9emv+997OXjRoWwH7LR2T+xLUatxfulFnFq3InLgQO5s207ke33xW7gA22rVnuajyLI36/mxfF8E645f5cuXdRSr8Tas/xAO/QR1e+dLDEIIIURhIImTEKJI0F2LIbJfX1JPnUaxtsZr0kScWrfO8vFGk5HNEZv58diPnL51+qH9K3evzPK5vj/6Pe9Ufoc3KryRtQTKygqfmTOJfK8vSXv3EtG7D6V+WoxNYGCW+8ypKt7OVPV25nhUPKsPXaZXrS6w8TO4egyij4Jn9TyPQQghhCgMJHESQhR6KWfOEvnee+ivXkXt6orvnO+wrZ61H/j1Rj3rwtYx7/g8LsZfBMBWY4u/kz8alQa1oiY+Nh73Eu5YaazQqrRoVBrzS9GgVWvRKJr0tlsitxBxO4Lph6az6OSi9ATKXmv/2DhUNjb4fvctET17kXzkCBHv9qDU0iVYly791J/Pk7xR14/ja47z874IejYKQKnwIpxcA4eXSuIkhBBC3CWJkxCiUEvcsZOoDz7AeOcOVgEB+P4wFytf3ycel2ZI438X/sf84/OJSowCwNHKkTcrvsmbFd7ExcYFAJ1OR0hICO2eb4dWq33ieQfXGsy6sHXMPTaXSwmXmHFoBotPLs5SAqWyt8f3h7lEBL9LyqlTRAS/S6llS7N0PU+jfZAXX/91iovX77Av7Bb1arxtTpyOrYRWX4HWJk/7F0IIIQoDKQ4hhCi0Yn/9lcj33sN45w52dergv/znJyYZSboklpxaQtvf2jJm9xiiEqNwtXHlg5ofsKHTBgYEDUhPmnJCo9LwcpmXWfvKWsY1Goe/kz9xqXHMODSDF1a/wI/HfiQxLfGRx6udnPCdPw/rcmXRx8QQEfwuuujoHMeTFQ7WGl4J8gLuFoko3QycfSElDv79M0/7FkIIIQoLSZyEEIWOyWgkZuo0rn72ORgMOLV/Gd/581C7uDzymNtpt/nx2I+0Wd2GifsnEpMUg5udGx/W+ZD1ndbTq2ovHKwcci3G+xOobxp/g7+TP/Gp8cw8PJM2v7V5bAKlKVYM3/nz0ZbyQxcVRcS7PdBfv55rsWXm3ppOISeuEptsgKBu5h2HZU0nIYQQAiRxEkIUMsbUVK4MH8HNH34AoET/fnhNmIDKyirT9rEpscw6PIsXVr3AzMMziU2NxcfBhy8afMG6jut4q9Jb2Gps8yxetUrNS6VfYu0raxnfeHyGBOqF1S/ww7EfMk2gtG5ulFq4EI2XJ2nh4UT06Ik+Nu/WVqrm40IVbyfS9EZ+OxwFQW8CClwMhdhLedavEEIIUVhI4iSEKDT0sbFE9OhJQkgIaDR4jhtHyfffz7Tc+K2UW0zePzk9Obmtu01p59J80/gb/nj1D14r/xpW6syTrbygVql5sfSLrH1lLRMaTyDAOYCEtARzUrf6BeYenUuqITXDMVovL0otWoSmZElSz50jsldvDLdv51mM90adft57CZOLH5Ruat5xZFme9SmEEEIUFpI4CSEKhbRLl7j0+hskHzyIysEBvx9/wKXjq5m2PX3zNF3+6MLiU4tJ1idT0bUi05pNY80ra3ip9EtoVJari6NWqWlXuh1r2q9hYpOJlHYuTUJaArOPzGbQ5kGk6FMytLfy88Nv4QLUxYqRcvIkkX3Mz3TlhfbVvbCzUnPh+h32h8dCjbfNOw4vA6MhT/oUQgghCgtJnIQQBV7SocOEv/4GaZcuofHyxH/5z9g3aJBp282XNvPO+ne4lnQNfyd/vmvxHb+89AstS7VEpRScf/LUKjVtA9ryW/vfGN94PLYaW3ZH7+aDLR88NPJkXbYsfgvmo3JyIvnwYSIHDMSYkvKIM+eco42W9tXvKxJR4SWwcYGEy+Ype0IIIcQzrOD8FCGEEJlIWL+eiOBgDLGx2FSujP+KFViXK/dQO5PJxLzj8xgcOphkfTINvRqy7MVlNPZpnOlUvoLi3hS+OS3nYKuxZdeVXZkmTzYVK+L34w+o7OxI2rOHyx98gCktLdfjuTdd76/j0cTpVFCti3mHFIkQQgjxjJPESQhRYCVs2EDUkKGY0tJwaN6cUkt+Quvm9lC7VEMqH+/4mBmHZgDQrUI3vm3xLU5WTvkdco7Vcq/Fty2+xVZjy86onQzZMoQ0Q8bEyLZ6dXznfo9iY8OdrduIGj4Ck16fq3FU83GmkufdIhGHoqDGW+Yd//4FSbdytS8hhBCiMJHESQhRIN3Zt48rw0eAyYRzp474zJ6Fys7uoXY3km/Q8++e/HnxT9SKmk/rfcpH9T6y6HNMOVXHow7ftvgWG7UN26O2MyT04eTJrk4dfGbPRtFqub1hA1c+/hiT0ZhrMSiKwhv1zKNOy/dFYPKoBh7VwJBmXhBXCCGEeEZJ4iSEKHBSzpzl8oCB5pGmFi3wHD0aRa1+qN3Z2LN0+6sbR68fxdHKkTkt59C1QlcLRJx76njUYXaL2Virrdl2eRvDQoehM+gytHFo9Bze06eBWk3C739wbdw3uRpDhyAvbLVqzsUkcuBSLNTsbt5xeAmYTLnalxBCCFFYSOIkhChQdFFRRPbujfH2bWxr1cJ7ymQUzcOjR1sjt/J2yNtE34mmlFMplrVbRgOvzAtGFDb1POsx6/lZWKutCb0cyrCtDydPji1a4D1pIigKsUuXkrhtW671n6FIxN4IqPoaqK3h2gmIPpJr/QghhBCFiSROQogCQx8bS0Sv3uhjYrAuVxbf775FZWOToY3JZGLxycUM+mcQSfok6nnUY1m7ZQQ4B1go6rzRwKsBM5+fiZXKii2RWxi+dTg6Y8bkyaldO4q9bX4GKfqzzzEkJORa//em6/15PJo4kz1UfNm845AUiRBCCPFsksRJCFEgGJOSuNy3H2lhYWg8PfH98UfUzs4Z2ugMOr7Y9QWTD0zGhInO5Tszp9UcnK2dH3HWwq2hV8P05OmfyH8YuXXkQ8mT25AhaEv5ob92jWvjJ+Ra39V9nKl4t0jEmsNRUPPumk7HV4EuOdf6EUIIIQoLSZyEEBZn0umIGjKU5KNHUTk74zfvR7QeHhnaxKbE0ntjb9acX4NKUTGq7ig+q/8ZWpXWQlHnj+e8n2N68+loVVo2RWziw20fZkieVLa2eI0bB4pC/G+/kbh1a670qygK3er6AneLRPg3Bhc/SI2H03/kSh9CCCFEYSKJkxDCokwmE9FffEni1q0o1tb4zpmDdZkyGdpciLtAt7+6cfDaQRy0Dnzb4lverPhmgV6fKTc19mmcnjxtvLSRj7Z/hN74Xxlyu1q1cO1uHhHKzSl7r9Twxkar4uy1RA5FxkPQ3dLkh37KlfMLIYQQhYkkTkIIi7o+bTrxv/0GKhXe06ZiV7NGhv07onbwVshbXE68jI+DD0vbLaWRdyMLRWs5TXyaMK3ZNDQqDX+H/83H2z/OkDyVHDwYq1Kl0MfEcO2b8bnSp5ONlpermYtELNsbAUHdAAXCt8Oti7nShxBCCFFYSOIkhLCYW0uWcvOHHwDwGP0ljs8/n2F/aGQoAzcPJFGXSC33Wvz84s+UcSmTyZmeDU19mzK16VQ0Kg3rwtfx8Y7/kieVrS2e39ydsrdmDbdDQ3Olz253i0T8dSyaeCsPKNPcvOPwslw5vxBCCFFYSOIkhLCIhHXruDZuHAAlP3ifYp07Z9i//+p+hoUOw2Ay0DagLT+2+pFiNsUsEWqB0tyvOZObTkajaFgXto5Pd36KwWgAwK5mTVy7m9dcuvr5Fxji45+6vyBfFyp4OJKqN7Lm8GWocbdIxNEVcLdfIYQQ4llg8cTpu+++IyAgABsbG2rVqsX27dsf2z41NZVPPvmEUqVKYW1tTZkyZViwYEE+RSuEyA139uzlysgPwWSiWLduFO/bN8P+kzdOMnDzQNKMaTT3bc64RuPQqot2EYjsaOHXgklNJ6FW1Px18S++2vNV+r6Sgz/I1Sl7iqKkjzot3xeJKbAt2DhDwmUIy51CFEIIIURhYNHE6ZdffmHw4MF88sknHD58mMaNG9O2bVsiIiIeeUyXLl3YvHkz8+fP58yZMyxfvpwKFSrkY9RCiKeRcvo0lwcMwKTT4fjCC7h/8nGGIg8X4i7Qd1Pf9DWaJjWdhEb18AK4z7qWpVoyqekkVIqK1edWsyF8A/DAlL21a3Nlyt4rQeYiEWeu3ebQlRSoend0UKbrCSGEeIZYNHGaOnUqPXv2pFevXlSsWJHp06fj6+vLnDlzMm2/fv16tm7dSkhICC1btsTf35+6devSsGHDfI5cCJETaZcvE9GnD8Y7d7CrUweviRNQ1Or0/VGJUfTZ2Ie41DiqlqjKjOdnYK22tmDEBVurUq3oWaUnAGP2jOF60nXg7pS94GAArn72+VNP2XO21fLS3SIRy/dFQNCb5h3//gnJcU91biGEEKKwsNivcdPS0jh48CCjRo3KsL1169bs2rUr02N+//13ateuzcSJE1myZAn29va0b9+er776Cltb20yPSU1NJTU1Nf19wt0yvTqdDp1Ol+kxee1ev5bqX+QNua+PZ7h1i8s9e2G4fgOr8uVxnzEdg0qF4e7ndSP5Br029iImKYbSzqWZ0XQGVlhZ/PMs6Pe1V6VebL+8nX9j/+WzHZ8xs9lMFEXBpX8/bm/Zgi48nOixY3EfO/ap+ulS04tVBy/z57ErfNS6Ca4lK6Bc/xfDsV8x1gzOnYvJRwX9voqckfta9Mg9LZoK0n3NTgwWS5xu3LiBwWDA3d09w3Z3d3euXr2a6TEXL15kx44d2NjYsGbNGm7cuEH//v25devWI59z+uabbxg9evRD2zds2ICdnd3TX8hT2Lhxo0X7F3lD7uvDlNRUfH/4EZvLl9EVc+FC59c4cd/zjMnGZOYlzuOa8RouKhdeM73Grs2Z/wLFUgryfW1laMV5zrMzeiej146mrnVdAGzatcV3zvfc/v0P/i1WjDuVKuW4D5MJPO3URCcZGbd8M+9qa1CFf4nfOoftV91y61LyXUG+ryLn5L4WPXJPi6aCcF+TkpKy3NbiDw48uIClyWR65KKWRqMRRVFYtmwZzs7OgHm632uvvca3336b6ajTRx99xNChQ9PfJyQk4OvrS+vWrXFycsrFK8k6nU7Hxo0badWqFVqtPPBeVMh9zZzJaOTq0GHcuXwZlYsLZRYvpmJAQPr+ZH0y/f7pxzXjNUrYlGB+q/n4OvpaMOKMCst91Z7WMvXwVDakbaBHyx74OZoLOtxISiJu0WL8Qtbh17sPauec/7t3q3gEY/76lxPJzpR/51NMs1bimnSBdnXLQonyuXUp+aKw3FeRPXJfix65p0VTQbqvCdlYNN5iiVOJEiVQq9UPjS7FxMQ8NAp1j6enJ97e3ulJE0DFihUxmUxcvnyZcuXKPXSMtbU11tYPPyOh1WotfqMKQgwi98l9zejGnDnc2bwZRavFd8532JX/7wfsNEMaw7cP59iNYzhZOTG39VxKFyttwWgfraDf13eqvsP26O3sv7qfL/Z8waI2i9CoNLgPHkzS1m2khYVxa9JEvCZMyHEfnWr7MeHvs5y5lsiJRHtqln8BzoSgPfELtBqTi1eTfwr6fRU5I/e16JF7WjQVhPuanf4tVhzCysqKWrVqPTREt3HjxkcWe3juuee4cuUKiYmJ6dvOnj2LSqXCx8cnT+MVQmTf7X+2cH3mLAA8vvwCuxo10vcZjAZGbR/F7ujd2Gps+a7ld5QvVrhGLQoSlaLi6+e+xkHrwNHrR1l4YqF5u40NXt+MA5WK+P/9zu1//slxH/cXifh5bwQEdTPvOLoCDPqnvgYhhBCiILNoVb2hQ4cyb948FixYwOnTpxkyZAgRERH0vbumy0cffUT3u4s5AnTr1o3ixYvz7rvvcurUKbZt28aIESPo0aPHI4tDCCEsI/XiRa6MHJm+VpNLp07p+0wmE2P2jGHjpY1oVVpmNJ9B9ZLVLRht0eDl4MVH9T4C4Lsj33H65mkAbIOCcH03GIDoL77AEBeX4z7eqGueRvnXsWhu+z0PdsUh8Rpc2PxUsQshhBAFnUUTp65duzJ9+nTGjBlDUFAQ27ZtIyQkhFKlSgEQHR2dYU0nBwcHNm7cSFxcHLVr1+bNN9/k5ZdfZubMmZa6BCFEJgy3b3N5wECMiYnY1a6N+0f/Vc80mUxMOTCF3879hkpRMbHJRBp4NbBgtEXLy6VfpqVfS/QmPR9t/4hUg7mqaMn338eqdGkM129wdey4HJ+/VqlilHVzIFln4I8TN6FaV/OOI7KmkxBCiKLNookTQP/+/QkPDyc1NZWDBw/SpEmT9H2LFi0i9IHFGytUqMDGjRtJSkoiMjKSKVOmyGiTEAWIyWjkyoiRpIWFofHwwHvGdJT75g//ePxHFp9aDMDohqNpWaqlpUItkhRF4fMGn1PcpjgX4i8w85D5F0sqa+v0KXsJf/zB7c05GyFSFIXX65hHnX7Zf990vTPrIOlWrlyDEEIIURBZPHESQhQtN2bPJjE0FMXKCp9Zs9AUL56+b/m/y5l12PzM08g6I+lQtoOFoizaitkUY8xz5mINS04tYV/0PgBsq1eneM8eAER/8SX62Ngcnf/VGt5o1QpHL8dzylgKPKqBIQ2O/5o7FyCEEEIUQJI4CSFyTcKGDdz4bg4AHmNGY1u1Svq+Py/+ybi95ilifav35e1Kb1skxmdFE58mdCrXCRMmPtn5CbfTbgNQYuBArMqWwXDjBtdyOGWvuIM1rSt5AHdHnWq8Zd4h0/WEEEIUYZI4CSFyRcrZs1wZZS5M4PpOd1w6dEjft/3ydj7d8SkA3Sp0o3/1/pYI8Zkzss5IfBx8uHrnKuP3jQfuTtkbd3fK3p9/krhzZ47O3fXudL01h6NIqdARVFqIPgpXT+Ra/EIIIURBIomTEOKpGeLjuTxwEKakJOzq18dtxIj0fedjzzNi2wgMJgMvl36ZD+t++MhFrkXustPaMa7xOFSKit8v/M6mS5sAsK1WDde3zaNEMZMmYzIYsn3uRmVL4O1iS0KKnvUX0yCwrXmHjDoJIYQooiRxEkI8FZPBQNSw4egiItB6eeE9bSqKxry2dmxKLAP/Gcgd3R1qu9dmdMPRqBT5Zyc/1XCrQY8q5ueaRu8ezY3kGwAU79sXlaMjqf/+S/wff2T7vCqVQpfa5lGnFfdP1zv2C+jTcid4IYQQogCRn2CEEE/l+vTp3NmxA8XGBp9vZ6MpVgwAnUHHkNAhRCVG4ePgw9RmU9GqZdV3S+hfvT8VXCsQlxrHF7u+wGQyoSlWjBLv9QHg+oyZGFNSsn3ezrV9UBTYc/EWYS71wcEdkm7CuQ25fQlCCCGExUniJITIsYSQEG7+OA8Az7FfY1OxImBeq+nrvV9z8NpBHLQOzG4xm2I2xSwZ6jNNq9YyrtE4tCot2y5vY/W51QAUe/ttNF6e6KOjubVkSbbP6+ViS9PyJQFYeSha1nQSQghRpEniJITIkZR//+XKx58AULxXT5xffDF935JTSzIscFvGpYylwhR3lStWjg9qfgDAxP0TiUyIRGVtjdsH5m035/6Qo/Lk99Z0WnXwMrpqd9d0Ovs3JMbkTuBCCCFEASGJkxAi2/SxsVweMBBTSgr2zz1HySFD0vdtv7ydKQenADCs1jAa+zS2VJjiAW9Xepva7rVJ1ifzyc5PMBgNOL38MtYVK2JMTOTGnDnZPufzFdwp4WDF9dupbLlZDLxrg8lgftZJCCGEKEIkcRJCZItJrydqyFB0UVFofX3xnjIZRa0G4ELcBUZuG4nRZKRjuY6yVlMBo1JUjG00FnutPYdjDrPw5EIUlQr3EcMBiF2+grSIiGyd00qjolMtHwBW7I+EGm+adxz5GUymXI1fCCGEsCRJnIQQ2RIzaTJJe/ag2NnhM3s2ahcX4G4Fvc0DSdQlUsu9Fp/W+1TKjhdAXg5ejKo7CoBvj3zLhbgL2DdsiH3jxqDTETNtWrbP2fVudb3QMzFc9W0HGhuIOQVXDudq7EIIIYQlSeIkhMiy+N9/59bixQB4ffMNNoHlgf8q6F1OvIy3gzfTmk2TCnoF2CtlXqGZTzP0Rj2TDkwCwG34MFAUbq9bT/LRo9k6X+mSDtQNcMVogl9P3IYKL5l3SJEIIYQQRYgkTkKILEk5c4bozz4HoHjf93B6oTVgrqA3du9YDl47iL3WntnPSwW9gk5RFEbUGYFGpWFn1E62X96OTWAgzq++CsC1SZMwZXOa3b0iEb8ciMRY/e50veOrQJf9MudCCCFEQSSJkxDiiQy3b3P5/fcxpaZi36gRJQcNSt+39PRSVp9bnV5Br2yxshaMVGSVn5Mfb1YwJziTD0xGZ9RR8v1BKDY2JB84SOI//2TrfG2reOJoo+FybDK7jJXByRtS4uBMSB5EL4QQQuQ/SZyEEI9lMpmI/vgTdJci0Hh64jVpYnoxiO2XtzP5wGQAhtYaShOfJpYMVWRTn+p9KGZdjIvxF1l1dhVaDw9c33kHgJjJUzDp9Vk+l62Vmg5B3gCsOBgF1d8w75DpekIIIYoISZyEEI91a/Fibm/cCFotPtOnoSlmnoZ3fwW9V8u+SvdK3S0cqcguJysnBgQNAMyFIuJT4yneqyfqYsVICwsjbtWqbJ2v693pehtOXiMusLN544V/IOFKrsYthBBCWIIkTkKIR0o6dIiYyeY1mdw//BDb6tWBjBX0arrV5LP6n0kFvUKqU/lOlHUpS3xqPHOPzUXt6EiJAeZk6vqs2RgS72T5XFW8nani7USawcjqcGvwawAmIxxdkVfhCyGEEPlGEichRKb0N28SNXgI6PU4tWtHsTe7AeYKekNDh/5XQa+5VNArzDQqDSNqjwBg+enlhMeHU6xLZ7Sl/DDcvMmtBQuydb6udfwA+GV/BKYg858ZjiyTNZ2EEEIUepI4CSEeYjIYiBo+HH1MDFalS+P51RgURUmvoHfg2oH0CnquNq6WDlc8pYbeDWns3Ri9Sc+Ug1NQrKxwGzoMgJsLF6KLicnyuV4J8sJGq+LstUSOODUHrR3cPA+R+/IqfCGEECJfSOIkhHjI9dmzSdq9B8XWFp+ZM1DZ2wOw7PQyVp9bjYIiFfSKmOF1hqNW1IRGhrIneg+OrVthGxSEKTmZG7NmZ/k8TjZaXqzqBcDyI7egUgfzDikSIYQQopCTxEkIkUHitm3cnPM9AJ5jxmBd1pwc7Yvel15Bb1jtYVJBr4gp7VyaroFdAZi0fxJGkxG3keYpfHGrV5N6/nyWz/V6XXORiD+ORpNUqYt544nfIC0pd4MWQggh8lGOEieDwcDkyZOpW7cuHh4euLq6ZngJIQonXVQUV0aMBKBYtzdwfvklAKIToxm+dTgGk4GXS78sFfSKqH7V++Fk5cTZ2LOsOb8Gu5o1cWzVEozG9CIhWVG7VDFKl7QnWWfgf3EB4FIK0m7D6T/yMHohhBAib+UocRo9ejRTp06lS5cuxMfHM3ToUDp27IhKpeLLL7/M5RCFEPnBmJbG5cFDMMTHY1O1Km6jRgGQok9hcOhgYlNjqehakc8bfC4V9IooFxsX+lXvB8Csw7NITEuk5NChoFaTGBrKnb1Ze05JURRev1uafMWBKAgyL7TLkaV5ErcQQgiRH3KUOC1btowff/yR4cOHo9FoeOONN5g3bx6ff/45e/bsye0YhRD5IGb8BFKOH0fl7IzP9GmorKwwmUx8vedrTt08hYu1C9OaT8NGY2PpUEUe6lqhK/5O/txKucWPx3/EOiCAYl3N0+1iJk3CZDRm6Twda/qgUSkcjYzjvJd55JKwbRAXkVehCyGEEHkqR4nT1atXqVq1KgAODg7Ex8cD8NJLL/HXX3/lXnRCiHwR/8efxP78MwDeEyeg9fYG4Jczv/C/C/9DpaiY2GQi3g7elgxT5AOtSsvw2sMBWHJqCZdvX6bEgAGo7OxIOXGChHXrsnSeEg7WtKrkDsDSf4GAu8/EHVmeF2ELIYQQeS5HiZOPjw/R0dEAlC1blg0bNgCwf/9+rK2tcy86IUSeSz1/nugvvgCgeL++ODRtCsCha4eYsG8CAINrDqaBVwOLxSjyVxOfJjTwbIDOqGPqwaloiheneO9eAFyfOg1jWlqWztP17nS9NYejSKt635pOWRy1EkIIIQqSHCVOr776Kps3bwbggw8+4LPPPqNcuXJ0796dHj165GqAQoi8Y7xzh8sfDMaUlIRdg/qUHDgQgJikGIZtHYbepOcF/xcIrhxs2UBFvlIUhRF1RqBSVGy8tJGD1w7iGhyMxs0NXVRU+ujkkzQuVxJvF1vik3VsMNYBayeIuwTh2/P4CoQQQojcl6PEafz48Xz88ccAvPbaa+zYsYN+/frx66+/Mn78+FwNUAiRN0wmE9GffU7ahQto3NzwnjwZRa1GZ9AxNHQoN5JvUNalLGMajpFiEM+gcsXK0alcJwAm7p8INtaUfH8QADfmfI/h7hTtx1GrFDrX9gFg2aEbUPU1845DP+VN0EIIIUQeylHitG3bNvR6ffr7evXqMXToUNq1a8e2bdtyLTghRN6J/flnEkJCQKPBe/o0NMWLAzB+33iOXj+Ko5UjM5rPwE5rZ+FIhaUMCBqAg9aBUzdP8ceFP3B+9VWsy5XFGB/PzR9/zNI5Otf2RVFg98WbXCl9d02n079D0q08jFwIIYTIfTlKnJo3b86tWw//pxcfH0/z5s2fOighRN5KPnaMa+PNzy+5DR+GXc2aAPx27jdWnl2JgsL4xuPxc/KzZJjCworbFqdPtT4AzDw0k2Rjqrk8OXBr2c/oM/l/4EHeLrY0KVcSgKWXXMCjKhjS4NjKPItbCCGEyAs5SpxMJlOmU3du3ryJvb39UwclhMg7+thYLg8eDDodjq1b4/rOOwAcv36cr/d8DZhHGpr4NLFglKKgeLPim/g4+BCTHMOCEwtwaNYMmypVMCUnc2vBgiyd496aTr8eisIQ9LZ546GfwGTKq7CFEEKIXKfJTuOOHTsC5geHg4ODM1TQMxgMHDt2jIYNG+ZuhEKIXGMyGrkyahT6K9FoS/nhOW4siqJwI/kGg0MHozPqaO7bnN7Vels6VFFAWKmtGFZ7GENCh7Do5CI6letEiYEDuNy3H7eW/Yxrjx5oXF0fe44WFd0pbm/F9dupbLNpTnONDcSchCuHwLtWPl2JEEII8XSyNeLk7OyMs7MzJpMJR0fH9PfOzs54eHjQp08fli6VleGFKKhuzp/Pna3bUKyt8ZkxA7WDAzqjjuFbhxOTFIO/kz/jGo1DpeRoMFoUUS38WlDbvTaphlSmH5qOQ9Om2Rp1stKo6FTrbpGIo/FQ6RXzDikSIYQQohDJ1ojTwoULAfD392f48OEyLU+IQiTp4EGuT58BgPsnH2NToQIAUw9M5eC1g9hr7Znx/AwcrBwsGaYogBRFYWSdkXT9syshYSG8WfFNArI56tSlti8/bLvIP//GcPOtrhQ/9gscXwWtx4K1/JkTQghR8OXo18pffPGFJE1CFCL6W7eIGjIUDAac2r+MS+fOAPxx4Q+WnjaPEo9tNJbSzqUtGaYowCoWr0iHsh0AmLB/AvZNmmRr1KmsmwN1A1wxmmDJFR9wLQ1piXBqbd4GLoQQQuSSLI841ahRI8truRw6dCjHAQkhcpfJaOTKiJHoY2KwKl0azy++QFEUTt88zZjdYwDoU60PLfxaWDhSUdANqjGI9eHrOXb9GOvD19M4m6NOb9bzY1/YLVbsv8ygRm+j/me0ebpejbfy6QqEEEKInMty4tShQ4c8DEMIkVduzp3LnZ07UWxs8J4+DZW9PXEpcQwJHUKKIYVG3o3oX72/pcMUhUBJu5L0qtqLWYdnMevwLFp2+B82VaqQcuIEtxYswG348Mce36aKB672VlxNSGGHfWuaKl9D5F6I+RfcKuTTVQghhBA5k+XE6YsvvsjLOIQQeeDOnr1cnzUbAI/PP8emfHkMRgMjt40kKjEKX0dfxjcej1qltnCkorB4q+Jb/Hz6Zy4nXub3C7/zQjZGnaw1ajrX8mHutossPJZE08C28O+fcHgJvDA2H69CCCGEyL4cl86Ki4tj3rx5fPTRR+mL4R46dIioqKhcC04IkXP669eJGjEcjEacO3bEpeOrAMw+Mpvd0bux1dgyvfl0nK2dLRypKEzstHbp5eq/P/o92kb10591ujl//hOPf6OueVHlrWevc71cV/PGo8tBn5pnMQshhBC5IUeJ07FjxyhfvjwTJkxg8uTJxMXFAbBmzRo++uij3IxPCJEDJoOBqOEjMFy/gXW5cnh89ikAmyM2M+/4PABGNxxN+WLlLRmmKKReK/8a7nbuXEu6xupzqykxcAAAsT8vR3/z5mOP9S9hT6OyJTCZYPH10uDoCUk34UxIfoQuhBBC5FiOEqehQ4cSHBzMuXPnsLGxSd/etm1btm3blmvBCSFy5sa335G0dy+KnR3eM6ajsrUlPD6cT3eYE6i3Kr5F24C2Fo5SFFbWamv6Vu8LwA/HfkDVsM5/o05ZqLDXrZ551GnFgasYqnczb5Q1nYQQQhRwOUqc9u/fz3vvvffQdm9vb65evfrUQQkhci5x505uzJkDgOfo0ViXLk2SLokhoUNI1CVS060mQ2sPtXCUorB7pewr+Dr6civlFsvPLM/WqFOrSu6UcLDmRmIq2+zbmDde2AKxl/I6bCGEECLHcpQ42djYkJCQ8ND2M2fOULJkyacOSgiRM7prMVwZMRJMJly6dMH55ZcwmUx8sesLzsedp6RtSaY0m4JWpbV0qKKQ06q09KveD4CFJxZialAzy6NOWrWKrnV8AJh/0gQBTQETHFmW12ELIYQQOZajxOmVV15hzJgx6HQ6wLyqfEREBKNGjaJTp065GqAQImtMej1Rw4ZiuHUL6woVcP/Y/LzhstPLWB++Ho2iYXLTyZSwLWHhSEVR0S6gHWWcy5CQlsCS00uyNer0eh0/FAV2nL/xX5GIw0vBaMjrsIUQQogcyVHiNHnyZK5fv46bmxvJyck0bdqUsmXL4ujoyNixUlJWCEu4PnMWyQcOorK3x2f6NFQ2Nhy8dpApB6YAMLzOcGq617RwlKIoUavUDKhhTpaWnFqCrl41bKpWzdKok6+rHU3Lm2coLLxVGWyLQUIUXPgnz+MWQgghciJHiZOTkxM7duzgt99+Y/z48QwcOJCQkBC2bt2Kvb19bscohHiCxK1bufnDDwB4fv0VVv7+XE+6zvCtw9Gb9LQNaEu3Ct0sHKUoilr4taCia0Xu6O6w6OQiSmZj1Knb3dLkKw5fR1+1i3mjFIkQQghRQGU7cTIajSxYsICXXnqJQYMGsXjxYnbs2MGVK1cwmUx5EaMQ4jF00dFcGfkhAMW6dcOpbVt0Rh3Dtw7nRvINyrqU5csGX6IoioUjFUWRSlExsMZAAJb/u5yk2hWzPOr0fAU3PJxsuHUnjW32d6s8ngmBxOt5HbYQQgiRbdlKnEwmE+3bt6dXr15ERUVRtWpVKleuzKVLlwgODubVV1/NqziFEJkw6XREDRmKIT4em8qVcRtlTqCmHpjKoZhDOGgdmN58OnZaOwtHKoqyxt6NCSoZRIohhXkn5mV51EmjVtG1ji8Ac/+1Ae/aYNSbF8QVQgghCphsJU6LFi1i27ZtbN68mcOHD7N8+XJWrFjB0aNH2bRpE//88w8//STTLITILzFTp5F85AgqR0e8p09DZWVFyMUQlp5eCsDYRmMp5VTKwlGKok5RFAbVGATAr2d/Jb5m2SyPOr1e1xeVAnvDbhFT7r7pejKDQQghRAGTrcRp+fLlfPzxxzRv3vyhfc8//zyjRo1i2TIpJytEfrj9zz/cWrgQAM9xY7Hy9eVc7Dm+3P0lAL2r9uZ5v+ctGKF4ltT1rEs9z3rojXp+OP5DlkedPJ1teb6COwAL4mqC1h5unoOIPfkStxBCCJFV2Uqcjh07Rps2bR65v23bthw9evSpgxJCPF7a5SiujDKXG3d9pztOrVpxO+02Q0KHkKxPpr5nfQYEDbBwlOJZc2/U6X/n/8eNoFJZHnV6s765SMTPR26hr3R3yrcUiRBCCFHAZCtxunXrFu7u7o/c7+7uTmxs7FMHJYR4NFNaGlFDh2JMSMCmWjXchg3DaDLyyY5PuJRwCU97TyY2mYhapbZ0qOIZU71kdZr6NMVgMjDn6Jwsjzo1KVcSbxdbElL0bHdsZ954cg2kxOdH2EIIIUSWZCtxMhgMaDSaR+5Xq9Xo9fqnDkoI8WgxU6aQcuwYKicnfKZNRbGyYsGJBWyJ3IJWpWVas2kUsylm6TDFM+pehb11Yeu4UtUzS6NOapXCG3XNRSJmnXGGkhVBnwzHV+VLzEIIIURWPDoLyoTJZCI4OBhra+tM96empuZKUEKIzN3etIlbi81TmLzGf4PW25vdV3Yz6/AsAD6p9wmVS1S2ZIjiGVfBtQKtS7Vmw6UNfHf0O74eOIDI9/oS+/NyivfogaZ48UyP61Lbl+mbznEoMp5rz3fB/fpo83S9Oj3z+QqEEEKIzGVrxOmdd97Bzc0NZ2fnTF9ubm507949r2IV4pmWdvkyVz76GADXd9/F8fnniU6MZuS2kRhNRjqW60in8p0sHKUQMCBoACpFxeaIzVyqVDxLo05uTja0qmSeCr7wdl1QW0H0EYiW52aFEEIUDNkacVp4t4KXECJ/mdLSiBoyFOPt29hWr47b0CGkGlIZEjqEuNQ4KhWvxMf1PrZ0mEIAUNqlNC+VfonfL/zOrCOzmZzFUac365Vi3YmrLDt2h+GVXkRzeg0cWgIvVs/nKxBCCCEelq0RJyGEZVybNJmU48dROTvjPW0qilbL+H3jOXnzJM7WzkxtNhVrdeZTaIWwhL7V+6JRNOy8spMzgfZZGnVqWKY4pYrbcTtVzw7HuxVcj60EXXI+RS2EEEI8miROQhRwCRs2ELtkCXD3uSYvL9acW8Oqs6tQUJjQeALeDt4WjlKIjHwdfXm1nLm0+KwjsykxoD/w+Ap7KpVCt7rm0uTTLniBsx+kxsOp3/MnaCGEEOIxJHESogBLi4wk+pNPAXDt2QPH5s05ffM0Y/eOBczPkjzn/ZwlQxTikfpU64OVyoqD1w5yvJwWmypVMCUnc2vRokce81otH6zUKo5G3eZa2c7mjbKmkxBCiAJAEichCihjWhpRg4eYn2uqUQO3wYOJT41nSKj5+aamPk3pXa23pcMU4pE87D3oEtgFgFmHZ1O8fz8Abi37Gf0j1vwr7mBNmyoeACy80wAUFVzaATcv5E/QQgghxCNI4iREARUzYSIpJ0+idnHBe+oUTBo1H23/iKjEKHwcfBjbaCwqRf4Ki4KtV9Ve2GpsOXHzBAfLgHXFipiSkri1ePEjj+lWzzxd76dTBvSlnzdvPLwkP8IVQgghHkl+6hKiAEpYv57YZcsA8JowHq2nJ3OPzWV71Has1dZMaz4NZ2tnC0cpxJMVty3OmxXfBGD20W8p3q8vALFLlmKIj8/0mHoBrpQpaU9SmoEdTi+aNx75GQy6fIlZCCGEyIwkTkIUMGmXLqU/11S8dy8cmjZlR9QO5hyZA8Bn9T+jgmsFS4YoRLYEVw7GUevI2diz7Cqjw7p8eYx37nDrp8xHkRRFoVu9UgBMDgvAZF8SEq/B2fX5GbYQQgiRgSROQhQgxtRULg8ZgvHOHWxr1qTkBx8QlRjFqO2jMGGic/nOvFL2FUuHKUS2OFs7072yeXH07459T7G+fQC49dNPGG7fzvSYTjW9sdKoOHE1iWtlXjNv3PdjvsQrhBBCZEYSJyEKkJgJE0g9dRp1sWJ4T51CmmJgaOhQ4lPjqVK8CqPqjrJ0iELkyNuV3sbF2oXwhHC2l9NhVbYMxtu3iV26NNP2LnZWvFTNE4D5yc3NRSLCtsL1M/kZthBCCJFOEichCoiEkBBif14OgNfECWg9PPhm7zecunkKF2sXpjabipXaysJRCpEz9lp73q3yLgBzjs2l2HvmipA3Fy3GkHgn02PevFskYsm/RnRl7y6IK6NOQgghLEQSJyEKgLTwcKI/+xyA4n364NC4Mb+d+43V51abF7ltMgFPB08LRynE03k98HVcbVy5nHiZ0HI6rPz9McbHE/vzz5m2r+lXjAoejqTojGx2vDtF9ehySEnIx6iFEEIIM0mchLAw83NNQ83PNdWuRcn3B3Hy5knG7jEvcjuwxkAaejW0cJRCPD07rR09q/QEYO6JH3G5O+p0a+FCjElJD7U3F4kwjzpNOeeBqUQgpCXC0RX5F7QQQghxlyROQljYtW++IfX0adSurnhPmUKC4Q7DQoeRZkyjmU8zelXtZekQhcg1XQK7UNK2JFfuXGFzYCpaPz8MsbHErvgl0/Ydanhjq1Vz7vodwkt3M2/c9wOYTPkYtRBCCCGJkxAWFf/nX8St+AUUBa+JE1G7lWTU9lH/LXLbWBa5FUWLjcYm/ZcBP5ycj0ufHgDcXLAAY3LyQ+2dbLR0qOEFwMybtcDKEW6eg4uh+RazEEIIAZI4CWExqWFhXP387nNN7/XBodFzzD06lx1RO7BWWzO9+XScrJwsHKUQua9T+U6427lzLekafwemovX2xnDjBnG//ppp++CGAQD871QCtyt2MW+UIhFCCCHymSROQliAMSWFqMFDMCYlYVenDiUHDmT75e3MOWpe5PbzBp8T6Bpo4SiFyBvWamv6VDOv5TTv9EKcet8ddfpxHsbU1IfaB3o40qhsCYwm+NnYyrzx7DqIvZRvMQshhBCSOAlhAdfGfUPqmTOoXV3xmjyZqOSr6YvcdinfhfZl2ls6RCHy1KtlX8XL3osbyTdYXyEFjacn+uvXiVu1KtP2PRr5AzD7uAqDfzMwGeHA/PwLWAghxDPP4onTd999R0BAADY2NtSqVYvt27dn6bidO3ei0WgICgrK2wCFyGXxf/xJ3MqV5ueaJk3EUNyJoaFDSUhLoGqJqnxY90NLhyhEntOqtbxX/T0A5p9ZjFPPd4C7o05paQ+1b1bejYAS9txO0bO12KvmjYd+At3Dz0UJIYQQecGiidMvv/zC4MGD+eSTTzh8+DCNGzembdu2REREPPa4+Ph4unfvTosWLfIpUiFyR+rFMK5+8cX/27vv8CjK9Y3j39nsphcIqUAIvUvvSJEqoCJ6FI+9/uSABRARbICKKE1sFBHEig2xohILRUAUBEFAQHpJCCG9bpvfHws55oAEFNhkc3+uay/Y2Xd27+V1hCcz7zwARP1nCKGdO/P02qfZlr6NygGVmdZtmprcSoVxeZ3LSQhLIL0wnSVNirDGxuJMSSHro8UnjbVYDG7tVBOAiTsSMCMSoCADflt0gVOLiEhF5dXCafr06dxxxx3ceeedNGrUiBkzZpCQkMCsWbNOu9/dd9/N9ddfT8eOHS9QUpF/zrOuabhnXVO7dkQNG8aiHYtY/MdiLIZFTW6lwrFZbAxpPgSA+dvfJOy2mwBIe2UO5inOOv2rdXXCAq3sOlbIrprXeTaunaNbk4uIyAVh9dYH2+121q9fz5gxY0ps79OnD6tXr/7L/V577TV27drFW2+9xVNPPVXq5xQVFVH0p8XG2dmejvMOhwOHw/E30/8zJz7XW58v50dp85r65FMU7diBX2QkMc9MYlPabzy99mkA/tPsP7SJbqP/JsogHa/nV+/qvZkbPpe92Xv5pFE+l0RF4TycTPrixYRfdVWJsf4WuLZ1Neat2sfkI22ZYw3ESNmEc+8azOptz+pzNa++SfPqezSnvqkszevZZPBa4ZSWlobL5SI2NrbE9tjYWFJSUk65z86dOxkzZgwrV67Eaj2z6JMmTWLChAknbV+6dCnBwcFnH/wcSkpK8urny/lxqnkN27CB+EWLMA2DvVdfxfq1y5mZMxO7aaehtSGxe2NZsm+JF9LKmdLxev60dbZlL3t5dfsb1GnfiWpfLOXg8y+w12YDP78SY6sVgoEfS/c6+T22HY2yVpD86RP8UvM/f+uzNa++SfPqezSnvqkszGt+fv4Zj/Va4XSCYRglnpumedI2AJfLxfXXX8+ECROoX7/+Gb//2LFjGTlyZPHz7OxsEhIS6NOnD+Hh3umR43A4SEpKonfv3thsNq9kkHPvr+bVvnsPB8ZPwAQih9xN7SF3c9/y+8jMzqR6aHXmXDqHMP8w7wWX09Lxev71dfdl/Zfr2Z21m+1XJ1JjTST+6elc7HYTfvnlJ41fW7SRr7emsrTKTTTKWkH1rHXEdW0NobGnePdT07z6Js2r79Gc+qayNK8nrkY7E14rnKKiovDz8zvp7FJqaupJZ6EAcnJyWLduHRs2bOCee+4BwO12Y5omVquVpUuX0qNHj5P2CwgIICAg4KTtNpvN6xNVFjLIuffneXUXFHBk1CjMggKC27cn9p57mLl5NmuS1xDoF8iMS2YQGRLp5cRyJnS8nj82bAxrMYwHlj/AW3s/4MpbbiT7uZfInPsqkVdeifE/Vxjc2bUOX29NZeaOMIbWaIvt8M/Yfn0bup/9HSk1r75J8+p7NKe+qSzM69l8vtduDuHv70/r1q1POkWXlJREp06dThofHh7O5s2b2bhxY/FjyJAhNGjQgI0bN9K+ffsLFV3kjKVMnEjRzp34RUVRbeoUViavYvavswE1uRX5s16JvahfuT65jlw+vqgQv0qVsO/bR/aXX540tk1iZS6qFkGR0833EVd6Nq6bDy7vXysvIiK+y6t31Rs5ciSvvvoq8+fPZ9u2bYwYMYL9+/czZIjnLktjx47l5ptv9gS1WGjatGmJR0xMDIGBgTRt2pSQkBBvfhWRk2R98glZHy4Cw6Da1CmkBBYxduVYAAY3GMzldU6+BEmkorIYFoa2GArA63veI+gmz13z0mbNxnS5Sow1DKO4Ie6EP+pghsRAbgps++yCZhYRkYrFq4XT4MGDmTFjBk888QQtWrRgxYoVLFmyhMTERACSk5NL7ekkUhYV7dpF8njPTUmihg3Dr02LEk1uR7cd7eWEImVPj4QeNIpsRIGzgMUXFWCJiMC+ezc5X3990tgBF1UlOiyAQzlutle/2rPxp7kXOLGIiFQkXi2cAIYOHcrevXspKipi/fr1dO3atfi1BQsWsGzZsr/cd/z48WzcuPH8hxQ5C+6CAg4NH+5Z19SxA1WG3M3EtROLm9xO7z5dTW5FTsEwDO5p6VnD+ub+RQRe/y8A0mbNwnS7S4z1t1q4uYPnh2zPpHbEtFhh/2pI2XxhQ4uISIXh9cJJxNccfXoSRTv/wC86impTpvDR7o/5+I+PsRgWJnebTFxInLcjipRZXap1oVlUMwpdhSxqXoAlLIyinX+Qk/TNSWOvb18Df6uFZclWMmr09WzUWScRETlPVDiJnEPh69eT8/HHYLFQbcpUtnOkuMntvS3vpUN8B+8GFCnjDMNgWIthALxz8BMCrvM0wU2bOfOks05VQgMY1KIaAAucfTwbN70PBRkXLrCIiFQYKpxEzhH7rl3ELP4YgKh7huFo0YCRy0bicDvontCd25ve7t2AIuVEx6odaRnTkiJXER+0KMASEkLR9u3kfPvtSWNvO36TiJd2RWGPagzOAtjw9gVOLCIiFYEKJ5FzwJ2fT8oDo7A4HAR16EDlu+5kzMoxHM47TEJYAhMvnojF0OEmciYMw+CeFp61TgsPf4b/dYMASHvxpZPOOjWMC6dTnSq4TYNvQgd6Nv48F9wl78QnIiLyT+lfciLnQMqTT2HftQtnWBixkyYxZ8tcVh1eRaBfIM91f45w/3BvRxQpV9rFt6NtXFscbgfvtjy+1mnHDnK++uqksbd3rgXA+L2NMQMjIGMv/HHymigREZF/QoWTyD+U+dFishYvBouF5H9fx5qirWpyK3IOnFjr9P7hL7Dd4Lnl+NEXX8J0OkuM69EwhsQqwaQW+rE17vhZp59euaBZRUTE96lwEvkHinbuJOWJJwCIHDqUQzUr8+jqRwE1uRX5p1rHtqZjfEecppO3mmbiFxGBfc8esj7/vMQ4i8Xgtk41AZiU2gkTw3PG6dguL6QWERFfpcJJ5G9y5+dzcPgIzMJCQjp1IujWG1iYv5AcRw7Nopqpya3IOTCspees00eHv8Ry0/G+Ti/PxHQ4Soz7V5sEwgKs/JAezrGq3Twbf371gmYVERHfpsJJ5G8wTZOUCU9g37ULa3Q08ZOf5dkNU0h2JVMpoBLTuk9Tk1uRc6B5dHO6VOuCy3Qxv8Fh/KpUwXHgAJmLF5cYFxpgZXDbBADm23t7Nm54G4pyL3RkERHxUSqcRP6GrI8Wk/XJJ2CxUHXaVD5JX8anuz/FwGBS50lqcityDt3X6j4APjuchOtGzxqmtFmzcdvtJcbd0qkmFgNmHUzEHlETirJg8/sXOq6IiPgoFU4iZ6lwxw5SnnwSgOj77mNP7eDiJre9AnvRPq69N+OJ+JyGkQ3pV6sfAC/X3Ik1NhZncjKZ739QYlxCZDB9GsdhYmFp8BWejT/NBdO80JFFRMQHqXASOQvuvDwOnVjX1Lkzlpv/9d8mt9W70yWgi7cjivike1rcg9Wwsjx1DbnXe4qotDmzcRcUlBh3+8XHb01+oDmmLRhSt8LeHy54XhER8T0qnETOkGmaJE+YgH33bqwxMcQ+O4mxqx4mOS+ZGmE1mNBhgprcipwnNcJrcHV9zy3Jp8dvxFatGq6jaWS8s7DEuLY1K9O0WjhpziC2RHkKLNbOvtBxRUTEB+lfeSJnKGvRIrI//QwsFqpNn8bcA++x+vBqAv0Cmd59OmH+Yd6OKOLT7m52N0HWIDZm/MbR6y4B4Nirr+LKzSseYxhGcUPcp9KOnwH+/Qs4uv2C5xUREd+iwknkDBRu30HKk08BEH3//ayLy2fOpjmAmtyKXCjRwdHc2OhGAKZE/oQtMRFXRgYZb71ZYtyAZvFEhwXwY04MyfE9ARN+mHHhA4uIiE9R4SRSCs+6puGYRUWEdOlC/nV9GbNyDKAmtyIX2q1NbyXcP5ydubvZd20HAI7Nfw1XdnbxmACrHzd1SARgWv4Az8bN70Pm/gueV0REfIcKJ5HTME2T5PETsO/ZgzU2lioTx/PAilHk2HNoFt2Mh9o+5O2IIhVKuH84d110FwCTw1Zhq1sHd3Y26QsWlBh3ffsa+FstfHgkjuz4zuB2wuoXvZBYRER8hQonkdPI/PBDsj/7DPz8qDptKpN2zOT39N+JDIxkWrdp2Pxs3o4oUuFc1/A6YoJjOFyQwrarmgOQvuB1nBkZxWOiQgO4skVVAOZbBnk2/vIG5KZe8LwiIuIbVDiJ/IXC7ds58tREAKKH38+S8D18susTLIaFyV0nq8mtiJcEWgMZ2nwoAFOCVmBr2AB3fj7p8+aVGHfHxbUBeH53PAUxLcFZCD/OvOB5RUTEN6hwEjkFV24eh+4/vq6pW1dSBrZn0tpJANzb8l7ax6vJrYg3Daw7kJrhNcmwZ7LuinoApL/1Ns6jR4vHNIgLo2+TWEzT4C3bvzwbf3oVCjK9kFhERMo7FU4i/8M0TVLGjcO+dy/WuDhCxo9h5IpRONwOLkm4hDua3uHtiCIVntVi5b5W9wEw3X8Z1ouaYBYWkvbK3BLj7u3hKaqe2Z1IUWRDsOfAz3NPej8REZHSqHAS+R+Z739A9hdfgJ8f8VMn8/BvzxQ3uZ148UQMw/B2RBEBetXoRZMqTShwFbKin2c9U+a77+JITi4e07RaBL0axeIyLXwQdPys04+zwJHvjcgiIlKOqXAS+ZPC33/nyETPuqaYEcNZ4Le2uMntc5c8pya3ImWIYRgMbz0cgJesK/Br1QzT4SBt9pwS4+7rWReAJ/Y0xBFeA/KPYdn41oWOKyIi5ZwKJ5HjXLm5nnVNdjuh3bqxpU/d4ia34zqNo37l+l5OKCL/q0N8BzrEd8BpuljSMwKAzEWLsB88WDymWfVKXNIgGrvbwqch1wBgWfMShtvplcwiIlI+qXAS4fi6pscfx75vH9a4OMxH72XMqocBuK7BdVxW+zIvJxSRvzK81XAA5lt/hPYtwOkk7eWSd8+7t6dnrdOj+5rhConFyDlMQsaqC5xURETKMxVOIkDme++TveRLsFqJnjKJBzaOL25yO7rtaG/HE5HTaBLVhD6JfTAx+aCrFYCsTz6haPee4jGtalSmS70oCtw2vgr3rHWqd+RzcLu8kllERMofFU5S4RVu3cqRp58GIHrEcKYWfa4mtyLlzL0t78XP8OMD60ZcnVqB203ayy+XGHP/8bNOj+xvjSsggtCiIxjbP/dGXBERKYdUOEmF5srN5eCIEZ51Td27833nUDW5FSmHakbUZFC9QQAs6FQEQPaSJRRu31E8pk3NSDrVqUKmK5BlEZ6xfqtmgGle8LwiIlL+qHCSCss0TZIfewzHvv1Yq8aTNfpmJv38LAD3tbxPTW5FypkhzYYQ4BfA17btFHZtDaZJ2ksvlhhz3/GzTmMOdcJhBGAc2Qx/fOONuCIiUs6ocJIKK/Pdd8n58iuwWgmfNJ6Rv4zD4XbQI6EHtze93dvxROQsxYbEcn2j6wGY3TYDDIOcpG8o+G1L8ZgOtavQrlYkR12hJPn39GxcOc0bcUVEpJxR4SQVkmdd0yQAokYM5/Hst0nOSyYxPJGnLn5KTW5Fyqk7mt5BmH8Yq/33k929JQBHZ8woMebEWqensvtjWvxh/xrYt/pCRxURkXJGhZNUOK6cHA4OH4HpcBB6ySW82zKvuMnt9O7T1eRWpByLCIgoPmP8QssUsFrJ++EHcleuLB7TqU4VWteoxGEzkl8i+3k26qyTiIiUQoWTVCiedU2P49jvWde0557LeGXzXEBNbkV8xQ2NbiA6KJpNAamk9m8DwJFnn8V0ehreGobBsEtqAzDmyCWYhsWzzin5V69lFhGRsk+Fk1QoGe+8Q85XnnVNtqfGMGbTU4Ca3Ir4kiBrEEOaDwHgmcZ/YKkUgf2PXWR++GHxmIvrVCEx1GSnI4Ytkb08G1dO90ZcEREpJ1Q4SYVR8NsWUp/x3DUvcuT9PHhsrprcivioQfUGUSOsBgeNTLYPagHA0RdexJWTA3jOOvWt7gbg4dTenp22fgJpO70RV0REygEVTlIhuHJyODTi+LqmHpfwYr09anIr4sNsFhv3trwXgEnx67HUrIErPZ1jc+YUj2lcyaRp1XA2Oaqxs3IXwIQfZngnsIiIlHkqnMTnmaZJ8iOP4jhwAFvVqvx0Zwc+2f2pmtyK+Li+NfvSIroFuWYhSy+LByD99TewHzgAgGHAPd09a50eP9bHs9OmdyHzgFfyiohI2abCSXxextvvkLN0KdhsFI6/h4lbZgBqcivi6wzDYGz7sRgYvBK6DlebppgOB6nT/ruWqUfDaBrFh7PGXof94a3B7YQ1L3kxtYiIlFUqnMSnFWz+jSPPetY1hd0/lBGpM9XkVqQCaVylMVfVuwoMg9ldi8BiIeerryj45RfAU1zd37MuAE9mHb81+frXIfeotyKLiEgZpcJJfJYrO5tDI0aAw0FIzx48kbCelLwUNbkVqWDua3UfYbYwlgfsIb2Xpylu2pSp4PbcHKJP4zgaxIaRVNSIlNDG4CyAtbO8GVlERMogFU7ik4rXNR08iK1aNb64riZrUn5Uk1uRCigyMJKhLYYC8HSzvRjBwRT99hthGz19mywWg3t71gUMJuX29+z001wozPJSYhERKYtUOIlPynjzLXKSksBm48iYG5m5+w1ATW5FKqrBDQdTJ6IO+21ZbBnQEICor77CXVAAQP+m8dSLCeXTwhYcC64NRdnw86vejCwiImWMCifxOQWbN3NkyhQA/O+9kwePvgLAvxv+W01uRSoom8XG6Haefm3P1PoN4qKxZWWR+brnhyoWi8E9PepiYmF6wfGzTmtmgj3PW5FFRKSMUeEkPsWVnc2h4Z51TcE9L+Gh2OXkOHJoHt2cB9s86O14IuJFnap2okdCDwr93HzWpzIAGfPn4TiSCsBlzapSOyqE9wrakRVYDfLTYLXusCciIh4qnMRneNY1PYLj0CFs1avz2sAQtmfuIDIwkqndpqrJrYgwqu0o/C3+vFl1F+kJUZgFhRx9/nkA/I6fdXJiZVLRtZ4dVj0POSleTCwiImWFCifxGRlvvklO0jdgs7FteH8WJX+lJrciUkJCWAK3Nr0VDIM5PR0AZC1eTMGWLQBc0bwqiVWCebegDUfCm4IjD75/2ouJRUSkrFDhJD6hYNMmjkyZCoB72E2My3gTUJNbETnZHU3vIDY4lg3xeRzpVB9Mk9RnJ2OaJlY/C8Mu8dxh7+G86zw7bHgTjmz1amYREfE+FU5S7rmysorXNQX06s7wKl+rya2I/KVgWzDDWwwH4JlWByHAn/yffiL3228BGNSyGjUig/k2rzY7InuA6Yakx72YWEREygIVTlKumabJ4YcfwXH4MLaE6kzrXUhK/hE1uRWR0+qT2IdEv0QOhdn5tUcNAI5MmYJpt2Pzs/Bwf88ty4elXoFpscIfSbDrO29GFhERL1PhJOVaxhtvkPvttxg2Gyvv7sCKzHUEWYN4rvtzanIrIn/JMAwuC7oMi2FhWqM9uCtH4Ni3n/R33gGgb5M4OtSOZKczhu/DB3p2WvoYuF1eTC0iIt6kwknKrYJffy1e15R191VMz/sYgHEdx1Gvcj0vJhOR8iDeGs+gOoMoDDD4pEcwAGkzZ+HMyMAwDB6/rAkWA0am9MHpHw5HfoNfF3o5tYiIeIsKJymXXJmZHBoxEpxO/Hp0YUTlrwFPk9sBtQd4OZ2IlBdDmw0lzD+Md+umUlAzFnd2NmkvzwSgcdVwBretQSZhLPD7l2eH755SU1wRkQpKhZOUO39e12RNqM6EbkfJceaqya2InLXKgZUZ1mIYpsVgVpd8ADIWLqRo924ARvWpT1iglckZ3cgNqgY5ybDmZW9GFhERL1HhJOVO+oLXyf3uOwybjU9vrcemwj/U5FZE/rbBDQZTt1JdfqxeQHLzauBykTp5CgBVQgO4v2c97NiYeKIp7g8z1BRXRKQCUuEk5UrBxo2kTpsGwMHb+7DAuRKLYWFK1ylqcisif4vVYmVMuzEATO6QCn5+5C5bRt7q1QDc3LEmtaNCWJjfhkMhTdQUV0SkglLhJOWGKzOTgyM965rcPToyuoqn58r9re6nXXw7L6cTkfKsfXx7eif25lCkyfrO0QAceXYyptOJv9XCIwMaAQYPZB0/66SmuCIiFY4KJykXTNPk8NiHcR5Oxi+hGmM67cNhOulZoye3NbnN2/FExAc80OYBAvwCeLnlUVyhwRRt3076G28C0KNhDF3qRfGjsx7rQ7qoKa6ISAWkwknKhfTXFpD7/fcY/v4suC6ava5UEsMTebLzk2pyKyLnRLXQatzW9DZygw3e7xUAwNEXXsC+f//x25M3xs9iMDJ9EG6LTU1xRUQqGBVOUublb9hA6vTpAGy9sQOfWX9Tk1sROS9ub3o7cSFxLG6YTUaT6piFhSQ/9jimaVIvNoybOiSyz4zjY2s/zw5qiisiUmGocJIyzZmRwaGRD4DTSWH31oyLWQXA+I7j1eRWRM65IGsQD7R5AAyDp7odg4AA8teuJfPDDwEY3qselYJtPJE9gCJrmJriiohUICqcpMwy3W6Sx4zFmZyMkVCNB9rvAsPg+obX0792f2/HExEf1TexL+3j23MgwsF3fWMASJ08BceRVCoF+zOiV30yCeNl1yDPDmqKKyJSIahwkjIr/bXXyF2+HPz9eenqAI5aPE1uR7UZ5e1oIuLDDMNgQqcJBFuDeaXRYfLqxOPOySHlyScwTZMb2tegfmwoswt6kuEfr6a4IiIVhAonKZPyf9lA6vTnAFg7uDHLg/YTGRjJtG7T1ORWRM67aqHVeKDNA7gtBk/3yPT0dvrmW3K+XorVz8JjlzXGjo1x+dd4dvhhBuQc8WZkERE5z1Q4SZnjWdc0ElwuMrtexLRqm4ub3MaGxHo7nohUENfUv4b28e3ZGeVgVQ/PJXspTz2FKzOTLvWi6dUohk+d7dnl3/B4U9yJXk4sIiLnkwonKVNMt5vDY8bgTEnBrB7PA+12gmEwvNVwNbkVkQvKMAye6PQEwdZgXm6RSkG1KrjS0jgyeQoAjwxojM3PwuicwZ4d1BRXRMSnqXCSMiV9/nzylq+AAH+eHegix+akV41e3NrkVm9HE5EKqGpoVUa1HYXTajClVx4YBlkffUTuqlXUigrhts61WG82YLm1o5riioj4OBVOUmbk//ILqc/NACBpUA1+CU+nZnhNNbkVEa/6V71/0TG+I79VdfJz5ygAUh4fhzs/n3t61KVKiD+P512Dy7CqKa6IiA9T4SRlgjMjg0MjPOuakjvVY27NPcVNbkP9Q70dT0QqsBN32QuxhfBiu3SKosJxHDrE0eefJzzQxqi+DdhnxvGO2cezg5riioj4JBVO4nWm283hhx7CeeQIzoRYRnfcDYbB+I7jqVu5rrfjiYgQHxrPg20epDDA4IVeRQCkv/EmBb/+yrVtEmgUH860woEU+IV6muJueNPLiUVE5FxT4SRed2zePPJWrIQAf57sn0+Rv5rcikjZc1W9q+hctTM/13KxuXUkmCbJjz6Kxelg3OWNySSMqUXHm+IufQyyDno3sIiInFMqnMSr8tev5+iM5wFYfFkVtkUWqMmtiJRJhmEwvtN4Qm2hzLg4C0d4MEU7/yDtlbl0qF2F/hfF8ZqzLzttjaAoGz69D0zT27FFROQcUeEkXuNMT+fQyAfA5WJ3hwQW1ktVk1sRKdPiQuJ4sO2D5AQbzOnhBCBtzhyKdu5kbL9GWK1W7s69A5clAHZ9C7+84eXEIiJyrqhwEq8w3W4Oj/asayqsFsW4zofxs1iZ2m2qmtyKSJk2qO4gOlfrzIqGLnY0DgeHg8OPPkr1iADu7lqb3WZVXjCP93b6+hHIPODdwCIick54vXCaOXMmtWrVIjAwkNatW7Ny5cq/HPvRRx/Ru3dvoqOjCQ8Pp2PHjnz99dcXMK2cK8fmvkreDz9gBvgzvn8ORf4G97e6n7Zxbb0dTUTktIzjN68J8w9n+iV5OIP8Kfx1Exlvv809PerSMC6MFwv68EdAE7DnwKf36pI9EREf4NXC6b333mP48OE88sgjbNiwgS5dutCvXz/2799/yvErVqygd+/eLFmyhPXr13PJJZdw+eWXs2HDhgucXP6J/HXrOPq8Z13Twv4h7I5yqcmtiJQrJy7ZSw83eKObpyhKfW4GRkoK069tgZ+fH3dl347TEgC7v4f1C7wbWERE/jGvFk7Tp0/njjvu4M4776RRo0bMmDGDhIQEZs2adcrxM2bMYPTo0bRt25Z69erx9NNPU69ePT777LMLnFz+LuexY551TW43W9tG83GDbDW5FZFy6cq6V9KlWhe+buFmX+1QzIICUh5/nEbxYYzs3YA9ZjzTnMcv2Vv6KGSe+oeCIiJSPli99cF2u53169czZsyYEtv79OnD6tWrz+g93G43OTk5REZG/uWYoqIiioqKip9nZ2cD4HA4cDgcfyP5P3fic731+d5iut0cfnA0ztRUcqtWYlLXdAKtQUy5eAoBRkC5//OoqPPq6zSvvulczesjbR/hX6kbmN4rh+de8yNv9WrSFy3itsuv4NttKczZ14crwtbRyL4V9yf34Pr3h6AfEp03Ol59j+bUN5WleT2bDIZpeufC68OHD1OtWjVWrVpFp06dirc//fTTvP7662zfvr3U95gyZQrPPPMM27ZtIyYm5pRjxo8fz4QJE07a/s477xAcHPz3v4Cctcjvvifq669x2vx46BY4EG1wTfA1NPdv7u1oIiJ/2y/2X/go/yMGrTH59zIXrqAg9j4wklRbGM/+6ke8mcLSgLH4Y2djwq3si+rh7cgiInJcfn4+119/PVlZWYSHh592rNfOOJ3wv5dnmaZ5RpdsLVy4kPHjx/PJJ5/8ZdEEMHbsWEaOHFn8PDs7m4SEBPr06VPqH8754nA4SEpKonfv3thsFeO22wU/r+NQUhIAb/Tz50C0g+vqX8foNqO9nOzcqYjzWhFoXn3TuZzXfmY/Upen8mm7lXTfEUj84QKafvc9VWe+TGBiMg9/bDDZdR2P+r1B8yMf0OSK+6BSjXP0TeTPdLz6Hs2pbypL83riarQz4bXCKSoqCj8/P1JSUkpsT01NJTb29Lejfu+997jjjjv44IMP6NWr12nHBgQEEBAQcNJ2m83m9YkqCxkuBOexYxx56CFwu/mldQRfNcmjRXQLRrcb7ZP9mirKvFY0mlffdK7mdULnCVz5yZVM7ZfN5DetFKxeTda8efx76FC+236Medv6MNB/PRfZt2BbMhxu+gQsXr+xrc/S8ep7NKe+qSzM69l8vtf+r+3v70/r1q1JOn4W4oSkpKQSl+79r4ULF3LrrbfyzjvvMGDAgPMdU/6h4n5NR4+SGR/Gc91ziQyMZGq3qT5ZNIlIxRQTHMPYdmM5EGMwt6/nqom0l14mb/Vqnrn6IiJDArkn/w4clgDYswLWz/dyYhEROVte/XHXyJEjefXVV5k/fz7btm1jxIgR7N+/nyFDhgCey+xuvvnm4vELFy7k5ptvZtq0aXTo0IGUlBRSUlLIysry1leQUhybM4e8Vatw+9t4YkA+zgA1uRUR33RZ7cvoXr073zU1Wds2HEyTw6MeJCI3g0lXXcQ+M46JRdd5Bi99HDL2ejWviIicHa8WToMHD2bGjBk88cQTtGjRghUrVrBkyRISExMBSE5OLtHTac6cOTidToYNG0Z8fHzx4/777/fWV5DTyFv7E0dffAmAOX3hYLSa3IqI7zIMgwmdJxAXEscL3fM4mhCGKyODQ8NH0Lt+Fa5pXZ3XXb3ZYGkCjjz45B5wu70dW0REzpDXL7AeOnQoe/fupaioiPXr19O1a9fi1xYsWMCyZcuKny9btgzTNE96LFiw4MIHl9NypqVxaJSnX9OPLYP5vqmpJrci4vMiAyOZ0X0Ghn+A5yx7sD8FGzeSOnUaj1/emGqVQ7iv4E7sRiDsXQnr5nk7soiInCGvF07ie0yXi8OjR+M6mkZafDAv9SxSk1sRqTCaRDXh0Q6PcqSywXP9XACkv/465rLvmH5tCw4Sy1P2441xkx6H9D1eTCsiImdKhZOcc2lz5pC3eg2uACsTLyvCLyiY57o/R6h/qLejiYhcEIPqDWJwg8H8XN/gy46eO7smP/IIzcni/7rU5k1Xb9bRBBz58MkwXbInIlIOqHCScyrvx7WkvfQyALN6uzkUZTC+43jqVq7r5WQiIhfWQ20fokV0C97o4mRPrSDceXkcun84w7sk0CAuguFFd1FoBMK+VfDzXG/HFRGRUqhwknPGefQoh0aNAreblS38WXGRhRsa3UD/2v29HU1E5IKz+dmY1n0alUOjeWaAnYIwf4p27CBj4kSeu7Y5qZY4nrL/2zP4m/GQvtureUVE5PRUOMk5YbpcHHpwNK60NFLiApjTy0WL6BY80PoBb0cTEfGamOAYpnefTk64jcmXOzEtBlkff0z86iRG9qnP266e/Gg29Vyy97Eu2RMRKctUOMk5kTZrNvk//ogjwI9nrnASGlZFTW5FRICWMS15qN1DbEm08G5Xz1+7KU88yU1RRbStGcUo+10UGEGwfzX8NMfLaUVE5K+ocJJ/LO/HH0l72bOuaXYfkyNRanIrIvJngxsMZmCdgXzcATbVs2Ha7SSPGMHUfrXJsP3pkr2kx2H/j94NKyIip6TCSf4Rz7qmB8E0+a6FHyubWtTkVkTkfxiGwWMdH6NRVBOeG+Amo7INx/79GFOeZNxljXnb1ZOv3O3AZYf3boTM/aW/qYiIXFAqnORvM10uDo16EFdaGodirczrhZrcioj8hQC/AGZ0n4F/pUieHejGZbWQ+8239PjtG3o1imOEfQh/WGpB3lFYeD0U5Xo7soiI/IkKJ/nb0l6eSf7atdj9LUweaFKtSi01uRUROY340HimdJvC3qp+zO/p2XZ02nSerOMkPDyCm/NHkGmpDEc2w+K7dbMIEZEyRIWT/C15q1eTNmsWALP7QmasmtyKiJyJ9vHtGdl6JEktDVY1sYDLRe7Y0cy7vDaZ/rHcXnA/TsMGv38O30/0dlwRETlOhZOcNUdqKoceHA2mSVILgx+aWpjQaYKa3IqInKGbG99Mv1r9mX2pweFoP5xHjxI27UlevLYZG6nP6KI7PANXToVNH3g3rIiIACqc5CyZTieHRz2I69gxDsRaWNDL0+S2X61+3o4mIlJuGIbB+E7jqRFbnylXgt3fQv6PP3LR1+/y+GWN+cjdldnOyz2DPxkGB9d7Na+IiKhwkrOUNnMm+T/9RJG/hakDDZpUbakmtyIif0OwLZjnuz9PdtVwZh7/2dOxuXO5Yvcqbu1Uk8nOwXznbg2uInj3esg+7N3AIiIVnAonOWO5P6wibdZsAGZfCkXV1ORWROSfSAhP4Nkuz7KmsR/vX+z5K/nIxInc79rJJQ3juNc+lD+oAbkpnuLJnu/lxCIiFZcKJzkjjiOpHB59fF1TS4Mfm9rU5FZE5BzoUr0Lw1oM48OLDZa09QMg5ZFHeCYmncT4WG4tGkmWEQaHN3gu2zNNLycWEamYVDhJqTzrmkbhSk9nb4zBgp4Whrcaria3IiLnyF3N7uKKugN5vScsa+YHbjfHHnqQOY1dOMNqcFfhcJz4wZaPYMVUb8cVEamQVDhJqY6+9BL5P/9Mob/B9EEWutftwy1NbvF2LBERn2ExLDzR6QkurdWf2f3gp4YWTIeDvIceYF67QH6zNeURx+2ewd8/BVs/9W5gEZEKSIWTnFbuyh84NucVAGb1MwisWYsnOj2hJrciIueYn8WPiV0m0qNmb2ZcbrC5th9mfj7Wh0cyu1M4H7gvYb7zUs/gxXdD8ibvBhYRqWBUOMlfchw5Uryu6euWBhubhajJrYjIeWSz2JjcdTKdanZj8iDYWd2COzubuKce4ul2lZnovIHlrmbgyIeF/4bcVG9HFhGpMFQ4ySmZTieHHngAV0YGe2LhjV5qcisiciHY/GxM7z6dVomdmHiNwf5YC660NNq8+Bj/17gS9zruZbdZFbIPwrs3gLPI25FFRCoEFU5ySkdffImCdesp8IfpV/px7UU3qsmtiMgFEuAXwPM9nqdJzXY8OdggJdKC4/Bh/vXus3RLrMLt9gfIIhQO/gSf3a877YmIXAAqnOQkuStXcmzOHABm97cQ30BNbkVELrQgaxAv9XiJWjVbMuE6g/RwC/bdu7l/6ctUiUxgqP1eXFjg14Ww+gVvxxUR8XkqnKQER0oKh0c/BMDXrQx2tIxmWvdpanIrIuIFwbZgZvaaSXzti5hwnUFOiIFj2zaeWf86BwKbM95xMwBm0jj45U0vpxUR8W0qnKSYZ13TKFwZGeyOhbd72ZjSbQoxwTHejiYiUmGF+Ycxu/dsIuo14slrLeQHGjg3bmD2Hx/wKb14zdkXAxM+vQfWzvF2XBERn6XCSYodff4FCtavJz8Anhvkx7B2I9TkVkSkDIgIiOCV3q9gbViPSddYsNsMjJ/W8NqRr5jovJFXncfXoH45GlZO825YEREfpcJJAMhdsYJjc+cCMKu/hWYt1ORWRKQsqRxYmbl95lLUuBZTBhk4/SDoh+94PXMZE5038LzzKs/Ab5+AbybohhEiIueYCifBkZLCoePrmr5sbXCkXW01uRURKYOigqJ4tc+rHGtegxcut+A2IHLZl7zjWsfL7mt42vFvz8AfpsOXD4Hb7d3AIiI+RIVTBWc6HBwa+QDuzEx2x8GHfdTkVkSkLIsNiWVe33nsa1ONOf08f41X+ux93stbzkLjch513OYZ+NMc+PRecLu8mFZExHeocKrgjr7wAgW//OJZ13SlH491fUJNbkVEyriqoVWZ12ceWzrGMa+P58xT4Nef8u7u91hmuYSR9iGeW5VvfAsW3Qkuh7cji4iUeyqcKrCcZcs4NvdVwLOuqVcnNbkVESkvEsITeLXPq6zrHM2Uqy0U+RtYfvmZuT/N4Q9aMcx+Hw6ssOUjeO9GcBR6O7KISLmmwqmCciQnc/ihMYBnXZO9a2s1uRURKWdqRdTi9X6vk96mDo/eaCE9zIB9e5j83QxczhrcZR9JITbY8RW8cw0U5Xo7sohIuaXCqQIqXteUlcUfcbCkfzRTu01Vk1sRkXIoMTyRt/u/TY1WXRl7i4XdcWBmZjLyy+epkRvErfaHyDMDYc8KeHMQFGR6O7KISLmkwqkCSp0xg4ING8gLgBcH+TOp51Q1uRURKcfC/MN4sceLXNnxdsbd4MdP9Q1wOPj30rlckpLODUVjyTJD4OBP8PrlkJfm7cgiIuWOCqcKJuf770mfNx+AmQMsXN9TTW5FRHyBn8WPka1HMq7HJF78VyCfdPC0lOi6+mNu/WMzNxaMIc0Mh5RN8Fp/yE72cmIRkfJFhVMF4jh8mENjPOualrQxqNSnr5rcioj4mMvrXM78fgtY2j+O2f0suCzQ4LfVPPjrd9yeM4pkMxLStmO+dilk7PN2XBGRckOFUwVhOhwcHDESMyubP+Jh5UA1uRUR8VXNopuxcMBCjvS8iImDLeQFQPS+7Yxbu5j70oayzx2DkbEXc/6lkPq7t+OKiJQLKpwqiNTnZlD466/kBsKsq0OY2muGmtyKiPiw2JBYFly6gBqXXMYjt/iRUgmCjx3h8dXvMf7gTex0V8PIOYw59xLY8BaYprcji4iUaSqcKoCc774nfb5nXdOsARbuHfCkmtyKiFQAgdZAnunyDNf2HsGjt1j5vTpYC/J48Mf3mLujP6tcTTAc+fDJMPjoLijM9nZkEZEyS4WTj3McOsTBMaMB+KKtQYOBN6vJrYhIBWIYBndcdAdPX/YS024OZ0UTA8Pt5raNX7D612ZMtl+D07TA5g8w53SFQ794O7KISJmkwsmHmXY7+0cMh+xcdsbDb9e2YmSbkd6OJSIiXtAtoRuvX/EOn1yfyHtdPH/9X7ZjOU3XpvGf9Ps5aEZhZOzBnNcHVr8EbreXE4uIlC0qnHzYkenTsW/6jdxAWDA4isk9p2OzqMmtiEhFVadSHRZe9i4Hr+nIjIEWCm1Q69B27lv+MS9vG8hXzjYYbgcsfQQWDla/JxGRP1Hh5KNyvv2WjAWvAzD7Mitjr5yuJrciIkJEQASze82m5lU3MuoOP36rYWC1F3Hzpi9xrAzi2fRrKTJtsHMp5qzOsGeFtyOLiJQJKpx8kP3gIQ489BAAn7Uz6HLdA2pyKyIixawWK2Pbj+Wxq1/ilTvimdvXQoE/1D2yi/7freW5LYPY6ayKkZuC+foV8N1EcDm9HVtExKtUOPkY025n3/D7MHLz2FEVUm/uoya3IiJySt0TurN40CdEXX8DD95hZVNNA6vTwcDffuD372vwcXonDExYMRnz9csg84C3I4uIeI0KJx+TMm0azt+2khsIH96YyPiuT6nJrYiI/KVQ/1Aebv8w0/79Jgvvrsfsfhby/aHusf3U+fYg8zf3JtsVhLF/De7ZF8O2z7wdWUTEK1Q4+ZCcb74h8/U3AJg7MIjxV72sJrciInJGWsS04IMrPqThrffw0N0BbKhtYHU56bhlC6u+acSmjJpYCjPhvRvhi1HgKPR2ZBGRC0qFk4+wHzzI/uP9mj5rZ3DVrU9Tp1IdL6cSEZHyxOZn4z/N/8MrN3zE1/e04eUBFvICoGZGCkaSky83t8Z0Az/PxT2nK+z8BkzT27FFRC4IFU4+wLTb2XPfMCy5BeyoCgy5iUtrXertWCIiUk7VrlSb1/otoOv/jeOxoeGsr2tgdbupuSWZZUubkJJeCUvadnj7asw3B0HKZm9HFhE571Q4+YBDk5/BvXUHOYGQdGczRnQY5e1IIiJSzlkMC9c2uJYFN37KzyN68eLlFnIDIS4zg6NJISzd2JKCIivG7u8xZ3eBj4dB9mFvxxYROW9UOJVz2UuTyHlrIQBvXFWJx698UU1uRUTknIkNieX5ni9w1T3P89S90aytb2A1TRJ+P8LWz6uzanMj3HZg41u4n2/puXV5UY63Y4uInHMqnMox+4ED7B/zIACfdfDjlv97QU1uRUTkvOiV2Is3b/qcfWOuZepVFg5EQbDDTuSWLDZ+nsjG32piFhbBism4nm8J615T7ycR8SkqnMopt93OznuH4JdfxO/VIG7ESDW5FRGR8yrcP5xxncZz7/C3WfxYV2YMtHCwCgTb7QT8ZmfjZzXY+VscZKXB58NxzuwEO5bqBhIi4hNUOJVT+59+Esvvu8kJhF+GdeemZrd5O5KIiFQQLWJaMKvvHO4Z9S6fTejJ81dYOBQJwXYHzt8s/Pp5Age2RmJJ2QHvXINzwRWQvMnbsUVE/hGrtwPI2cv46ksK3v0QgA8GxzP+8qlqcisiIhfcRdEX8UKvl9jeajtzN84h/8ulXL3KRdV0J7mbAtm0vTrxDbKIdqzEnNMVd7Pr8Ov5GERU83Z0EZGzpsKpnLEfOMCBsWOwAV909GfIf+YSYgvxdiwREanAGkQ2YGqP6exqtYt5G18h+4svuOoHF/EZLtI3hZKyPYxqDTOJdL6L67ePMJpdg6XtHVCtlbeji4icMRVO5Yjbbmfb0DvxL7Dze3Vo+rCa3IqISNlRp1Idnu7+LPtbDWP+r3NJ/+QTBv3gIC7T5OivERzaHkG1hllULnwbNr5FUUwLAjr+HzS9CmxB3o4vInJaKpzKkV1PPob/zv1kB8H+Uddwf70B3o4kIiJykhrhNRjf5UkOt/wPr/36KkcXL2LgD3biMuHoxghSNkUQVL2Q2Jrb8E8ZimPJWPxa3Yhfuzugin4gKCJlkwqncuLo55/g/OBTAL68qR6P9HnMy4lEREROr2poVR7p/DipLYfw+q/zSVn0Lr1+KqJmKtj3B3JgfyCOYJPoxFwij83Bb+3LFCR0JajT/0H9fuCnf6aISNmh/yOVA0V793L40UfxB766OJihQ15Vk1sRESk3YoJjeLDjGI61uItP//iEz3/4kNqr9nLxFpPwfIPMbWFkbgvDHeWgas11+O9aiT08Blu727G2vRXC4rz9FUREVDiVde6iIn4behvBhU5+r27QZfxMNbkVEZFyqUpQFW676HZuu+h2tg/ezhe/f8yBpR/Tel0WLXaZ+KXZSEmrxKENEQQkFBK/dzqByydTWPdSQi8eAjW7gO4iKyJeosKpjNs6fjTBu1PIDoKCx/9Dm+rtvR1JRETkH2sQ2YAGnR7C2eEB1iav5cMNH+D+ahmdNxZRI83AuTeIA3uDcIS4qVxzBf4bv8IRHY1R/1KCL7rMU0TZAr39NUSkAlHhVIYd+uR9/BYvBWDVnW0Y0eUeLycSERE5t6wWK52rdaZztc7k983nm31JvL1sIVW+28zFW92E5lnI3RJG7pYwiiKdVI77iKjYd7DG+JGf2JWIFpdjqX8phEZ7+6uIiI9T4VRG5e/ZzdHHnyAA+K57Ze7+v9lqcisiIj4t2BbMFXUHckXdgRz59xG+3P4pu754l4ZrkmmxxyQg3Up+eij7t4bitJq449cT9+0PRMQOJy+xCQGN+xNWEAam6e2vIiI+SIVTGeQuKmLzkJsJL3KxvYYffZ9aoCa3IiJSocSGxHJrq7swW97J9oztfLNxERkrlxG9+RDN95hUyjPggD/pB/xJBwrDjuAfP5tWMQXkbn8Rd5N+RLa8AiOxM1j9vf11RMQHqHAqg3555F7C9x0jOwhCnn6UulH1vR1JRETEKwzDoGFkQxr2eAR6PMKxgmP8dPhH1vz0NY7Va6m9I4eGB0wCcyyQE0TyjiDchklBzOdkxn1IVBzkN25HSN1OhNXtiBHfAvyDvf21RKQcUuFUxuxa9AYhn6/EDWwZ1pvb21zn7UgiIiJlRpWgKvSrM4B+dQZgXmeyL3sfa3cv5+CKr/Fft4XGf9ipmmEQcsSK/Ugoh38F+/dbKIraRFDlF4itZMdVrTru+m2p3KAzwbU7QGRt3a1PREqlwqkMyfrjd3ImPEsAsKZ3VW65fZq3I4mIiJRZhmFQM6ImNVvWhJa3UFBUwLzP57EvJIfMVSuo8ut+mu5zE1xk4H/YCoetHCMYyKUo4DsORCURVNlB5coG1KyLtUknohpdjH+NthBUycvfTkTKGhVOZYSrsJDfhtxCpN3NjkQbV0x8S01uRUREzoLVYiXBmkD/nv2xXTqWfEc+6w6tZdOGZeRs/hXb9v1UP1xAYioEFBkEHLLCISt5ACsPUhj4Hnuj3iGwsoOQqBBsdZvi36AllRObElK1EVRKBD/900mkotLRX0asfuhOog5mkxUM1adNIyY83tuRREREyrVgWzBda15C15qXwCDPtqP5R9l2ZDP7f11F1q8bse7YS7VD+SSmQmChQeBBKxy04sZN0febyPX7lYMRJs5wF9YwN9bwYAJj4gmq1ZCQBi2JrNkU/9gGEBjh3S8rIuedCqcyYNM7LxP19XrcQPIDgxnUtLe3I4mIiPik6OBoomv1gFo94ErPtqyiLLalbGL/xh84tuEXrDv2UPVQHjWOgs1lEJFuQLrl+Du4gIPYOUieNYndESbOcDdmuAW/SmEExycQUa85YfWbExFXk4DIBAiuojVUIj5AhZOXHdm2AdczL2MDNvavw/XXj/N2JBERkQolIiCCDold6JDYBQZ6tuU78tmZ9jt7d23i2PYt5OzehfVgMuFHc4jOcBGTCTanQeVjBhw7UVTlAb9j53eO+L3L7hCwB5s4g03cwX6YoYH4hYcTWCWWiKp1CK/diIjEBoTFJmKExIDF8hcJRaQsUOHkRfb8XH4fdicxdpNdtYIYOPFtNbkVEREpA4JtwTSPb0Xz+FZwccnXcuw5HMjYw6Gdv5K87Tfy/tiB7XAy4Wm5RGW4iMkCq8sgIhvI/vPf64XHH6nAZnL5mHSrSV4oFAWb2EMsuIOtuIMCMIKD8QsNIyCiCsGRcYTHJFIpoTYhVWsQWikGIzgSLH4X7M9DRMpA4TRz5kymTJlCcnIyTZo0YcaMGXTp0uUvxy9fvpyRI0eyZcsWqlatyujRoxkyZMgFTHzurHj8/6h5OJ+sEINGL75CaJCujxYRESnrwvzDaBzbjMaxzU4qqgqcBRxI38PRAztI3b+HzP17cBw+iOVYGgFZuQRn2wnPc1EpF0ILwd9p4J8JZJ4osJzHH3nAUWA3ACaQAaRZoCDQpCgAigLBEWjgDPDDHWjFDPCHAH+MwCAsQcFYQ0KxhVYmIDySkEpRhEZWJTymKiHR8QSHR2IJCNNZLpGz4NXC6b333mP48OHMnDmTzp07M2fOHPr168fWrVupUaPGSeP37NlD//79ueuuu3jrrbdYtWoVQ4cOJTo6mquvvtoL3+CfSbj9P+zbOoLA/9xOnbptvB1HRERE/qEgaxD1YxpTP6YxtD71GNM0ybZnczT9ICn7tnNk905y9v+B68hhLJlZ2PIL8S9wEJjvJKjQJLjQJLQA/F3g54bQfIPQ/D+/o+v4o+i02ZxA+vFHkQ3sNhO7PzhsBi4/cFkN3Cd+tVpwWy2YVgtuqxXT5gf+NrDZMGwBGIGBWPwD8fMPwLAF4OcfgF9AELbAIKwBQdgCQ7AFhuAfFIp/cDiBIaEEBkcQHBZBQEgYNv9ADD9/FW5Srni1cJo+fTp33HEHd955JwAzZszg66+/ZtasWUyaNOmk8bNnz6ZGjRrMmDEDgEaNGrFu3TqmTp1aLgunBo27UHfJjwTagrwdRURERC4QwzCICIggIj6CuvFNoMPpx7tNN7mOXLKyUklLOUja4QNkJ++h8Ggyjow0zOwsLLl5WIvs+BU5sdpd2Oxu/O1u/B0mAXYItEOQHSym5z0DHBDgMKBEAWb+6Vf3Ofu+bjwfk4+naANwG+CygNvyP7//88Pw/BpqgeXTx+A2wDQMTAuYxonHn58bUGKbAYbhec3y39cw8GzHAIvndfjTduPEdgPDMDx/KseXUhgnXj/p+Ykxx18zDAwoMfbENv607cRnFCt+7b/7nPic4xuguNYsOeaUY0/8WuIjjOKZNv70mvk/y0VKLh8xSv72T68ZlNzvJMbJT0zTJDMri/11q1KnSdvT71+GeK1wstvtrF+/njFjxpTY3qdPH1avXn3KfdasWUOfPn1KbOvbty/z5s3D4XBgs53c96ioqIiiov/+BCY7OxsAh8OBw+H4p1/jbznxuScyeyuHnFt/nlfxHZpX36R59U2+PK9BRhBBlRKJq5QIDc9+f7fppsBRQF5uBlnpR8k4lkLuscMUpKfiyMnCWZiHuzAfd2EBZlEh2Isw7A4MhwPD7sTidGJxuvBzuvFzuLG4TKxOE4vLxM9N8a9+Ls/Devz31uMPP7NkHosJlhMnys6KWcpzKU92NF5CjfotvJrhbP5/4bXCKS0tDZfLRWxsbIntsbGxpKSknHKflJSUU453Op2kpaURH39y76NJkyYxYcKEk7YvXbqU4ODgf/AN/rmkpCSvfr6cH5pX36R59U2aV9+keT1T8RiR8fhHgv/f2Nt5huPcphuny4HTZcdlL8RpzweXA9Npx3TZcbuc4LRjup2e7S4nuJzgdoDbhelyeZ6bLgyXC9xuDNMNphvcpmf78d8bpgmm2/Or2/2n54B5/HVMcINhmhiYYHJ8nKcIM0yz5PjjtdmJ8zTG8bfgxL4nthW/14lvbhb/3jj+NsXngI5/1n/fu3iXEr//82/+9z1O+O/n/UmJ9y054HTjS4w7xbCTxpxN3XqKsSnpOSxZsuQs3uTcy8/PL33QcV6/OcT/3kXONM3T3lnuVONPtf2EsWPHMnLkyOLn2dnZJCQk0KdPH8LDw/9u7H/E4XCQlJRE7969T3mWTMonzatv0rz6Js2rb9K8+h7NqW86Ma+Dy8C8nrga7Ux4rXCKiorCz8/vpLNLqampJ51VOiEuLu6U461WK1WqVDnlPgEBAQQEBJy03WazeX2iykIGOfc0r75J8+qbNK++SfPqezSnvqkszOvZfL7XbmXi7+9P69atTzqdnpSURKdOnU65T8eOHU8av3TpUtq0aeP1P3QREREREfFdXr0H5MiRI3n11VeZP38+27ZtY8SIEezfv7+4L9PYsWO5+eabi8cPGTKEffv2MXLkSLZt28b8+fOZN28eo0aN8tZXEBERERGRCsCra5wGDx7MsWPHeOKJJ0hOTqZp06YsWbKExMREAJKTk9m/f3/x+Fq1arFkyRJGjBjByy+/TNWqVXnhhRfK5a3IRURERESk/PD6zSGGDh3K0KFDT/naggULTtrWrVs3fvnll/OcSkRERERE5L/UrllERERERKQUKpxERERERERKocJJRERERESkFCqcRERERERESqHCSUREREREpBQqnEREREREREqhwklERERERKQUKpxERERERERKocJJRERERESkFCqcRERERERESqHCSUREREREpBQqnEREREREREqhwklERERERKQUVm8HuNBM0wQgOzvbaxkcDgf5+flkZ2djs9m8lkPOLc2rb9K8+ibNq2/SvPoezalvKkvzeqImOFEjnE6FK5xycnIASEhI8HISEREREREpC3JycoiIiDjtGMM8k/LKh7jdbg4fPkxYWBiGYXglQ3Z2NgkJCRw4cIDw8HCvZJBzT/PqmzSvvknz6ps0r75Hc+qbytK8mqZJTk4OVatWxWI5/SqmCnfGyWKxUL16dW/HACA8PNzr/7HIuad59U2aV9+kefVNmlffozn1TWVlXks703SCbg4hIiIiIiJSChVOIiIiIiIipVDh5AUBAQGMGzeOgIAAb0eRc0jz6ps0r75J8+qbNK++R3Pqm8rrvFa4m0OIiIiIiIicLZ1xEhERERERKYUKJxERERERkVKocBIRERERESmFCicREREREZFSqHA6T2bOnEmtWrUIDAykdevWrFy58rTjly9fTuvWrQkMDKR27drMnj37AiWVs3E287ps2TIMwzjp8fvvv1/AxHI6K1as4PLLL6dq1aoYhsHHH39c6j46Vsu+s51XHatl36RJk2jbti1hYWHExMRw5ZVXsn379lL30/Fatv2dedXxWvbNmjWLZs2aFTe37dixI19++eVp9ykvx6oKp/PgvffeY/jw4TzyyCNs2LCBLl260K9fP/bv33/K8Xv27KF///506dKFDRs28PDDD3PfffexaNGiC5xcTuds5/WE7du3k5ycXPyoV6/eBUospcnLy6N58+a89NJLZzRex2r5cLbzeoKO1bJr+fLlDBs2jB9//JGkpCScTid9+vQhLy/vL/fR8Vr2/Z15PUHHa9lVvXp1nnnmGdatW8e6devo0aMHAwcOZMuWLaccX66OVVPOuXbt2plDhgwpsa1hw4bmmDFjTjl+9OjRZsOGDUtsu/vuu80OHTqct4xy9s52Xr///nsTMDMyMi5AOvmnAHPx4sWnHaNjtfw5k3nVsVr+pKammoC5fPnyvxyj47X8OZN51fFaPlWuXNl89dVXT/laeTpWdcbpHLPb7axfv54+ffqU2N6nTx9Wr159yn3WrFlz0vi+ffuybt06HA7HecsqZ+7vzOsJLVu2JD4+np49e/L999+fz5hynulY9W06VsuPrKwsACIjI/9yjI7X8udM5vUEHa/lg8vl4t133yUvL4+OHTueckx5OlZVOJ1jaWlpuFwuYmNjS2yPjY0lJSXllPukpKSccrzT6SQtLe28ZZUz93fmNT4+nldeeYVFixbx0Ucf0aBBA3r27MmKFSsuRGQ5D3Ss+iYdq+WLaZqMHDmSiy++mKZNm/7lOB2v5cuZzquO1/Jh8+bNhIaGEhAQwJAhQ1i8eDGNGzc+5djydKxavR3AVxmGUeK5aZonbStt/Km2i3edzbw2aNCABg0aFD/v2LEjBw4cYOrUqXTt2vW85pTzR8eq79GxWr7cc889bNq0iR9++KHUsTpey48znVcdr+VDgwYN2LhxI5mZmSxatIhbbrmF5cuX/2XxVF6OVZ1xOseioqLw8/M76SxEamrqSdX0CXFxcaccb7VaqVKlynnLKmfu78zrqXTo0IGdO3ee63hygehYrTh0rJZN9957L59++inff/891atXP+1YHa/lx9nM66noeC17/P39qVu3Lm3atGHSpEk0b96c559//pRjy9OxqsLpHPP396d169YkJSWV2J6UlESnTp1OuU/Hjh1PGr906VLatGmDzWY7b1nlzP2deT2VDRs2EB8ff67jyQWiY7Xi0LFatpimyT333MNHH33Ed999R61atUrdR8dr2fd35vVUdLyWfaZpUlRUdMrXytWx6qWbUvi0d99917TZbOa8efPMrVu3msOHDzdDQkLMvXv3mqZpmmPGjDFvuumm4vG7d+82g4ODzREjRphbt241582bZ9psNvPDDz/01leQUzjbeX3uuefMxYsXmzt27DB/++03c8yYMSZgLlq0yFtfQf5HTk6OuWHDBnPDhg0mYE6fPt3csGGDuW/fPtM0dayWV2c7rzpWy77//Oc/ZkREhLls2TIzOTm5+JGfn188Rsdr+fN35lXHa9k3duxYc8WKFeaePXvMTZs2mQ8//LBpsVjMpUuXmqZZvo9VFU7nycsvv2wmJiaa/v7+ZqtWrUrcWvOWW24xu3XrVmL8smXLzJYtW5r+/v5mzZo1zVmzZl3gxHImzmZen332WbNOnTpmYGCgWblyZfPiiy82v/jiCy+klr9y4ra2//u45ZZbTNPUsVpene286lgt+041n4D52muvFY/R8Vr+/J151fFa9t1+++3F/1aKjo42e/bsWVw0mWb5PlYN0zy++kpEREREREROSWucRERERERESqHCSUREREREpBQqnEREREREREqhwklERERERKQUKpxERERERERKocJJRERERESkFCqcRERERERESqHCSUREyp3u3bszfPjw4uc1a9ZkxowZXstzwoIFC6hUqZK3Y4iIyHmgwklERM671NRU7r77bmrUqEFAQABxcXH07duXNWvWFI8xDIOPP/74jN7vo48+4sknnzxPaWHZsmUYhlH8iI6Opl+/fvz666+n3W/w4MHs2LHjvOUSERHvsXo7gIiI+L6rr74ah8PB66+/Tu3atTly5Ajffvst6enpZ/U+DocDm81GZGTkeUpa0vbt2wkPD2f//v3cd999XHrppfz+++9EREScMltQUBBBQUEXJJuIiFxYOuMkIiLnVWZmJj/88APPPvssl1xyCYmJibRr146xY8cyYMAAwHOpHcCgQYMwDKP4+fjx42nRogXz58+ndu3aBAQEYJrmSZfq/a/XXnuNiIgIkpKSANi6dSv9+/cnNDSU2NhYbrrpJtLS0krNHhMTQ1xcHO3atWPatGmkpKTw448/snfvXgzD4P3336d79+4EBgby1ltvnfJSvU8//ZQ2bdoQGBhIVFQUV111VfFrdrud0aNHU61aNUJCQmjfvj3Lli074z9bERG5cFQ4iYjIeRUaGkpoaCgff/wxRUVFpxzz888/A56CJzk5ufg5wB9//MH777/PokWL2LhxY6mfN3XqVEaNGsXXX39N7969SU5Oplu3brRo0YJ169bx1VdfceTIEa699tqz+h4nziQ5HI7ibQ899BD33Xcf27Zto2/fvift88UXX3DVVVcxYMAANmzYwLfffkubNm2KX7/ttttYtWoV7777Lps2beKaa67h0ksvZefOnWeVTUREzj9dqiciIueV1WplwYIF3HXXXcyePZtWrVrRrVs3rrvuOpo1awZAdHQ0AJUqVSIuLq7E/na7nTfffLN4zOmMHTuW119/nWXLlnHRRRcBMGvWLFq1asXTTz9dPG7+/PkkJCSwY8cO6tevX+r7Hjt2jAkTJhAWFka7du3Iz88HYPjw4SXOIP2viRMnct111zFhwoTibc2bNwdg165dLFy4kIMHD1K1alUARo0axVdffcVrr71WIq+IiHifCicRETnvrr76agYMGMDKlStZs2YNX331FZMnT+bVV1/l1ltvPe2+iYmJZ1Q0TZs2jby8PNatW0ft2rWLt69fv57vv/+e0NDQk/bZtWvXaQun6tWrA5CXl0e9evX44IMPiImJYe/evQAlzh6dysaNG7nrrrtO+dovv/yCaZonfX5RURFVqlQ57fuKiMiFp8JJREQuiMDAQHr37k3v3r15/PHHufPOOxk3blyphVNISMgZvX+XLl344osveP/99xkzZkzxdrfbzeWXX86zzz570j7x8fGnfc+VK1cSHh5OdHQ04eHhZ53tdDeKcLvd+Pn5sX79evz8/Eq8dqoiT0REvEuFk4iIeEXjxo1L3H7cZrPhcrn+9vu1a9eOe++9l759++Ln58eDDz4IQKtWrVi0aBE1a9bEaj27v/Zq1ar1j/oyNWvWjG+//ZbbbrvtpNdatmyJy+UiNTWVLl26/O3PEBGRC0M3hxARkfPq2LFj9OjRg7feeotNmzaxZ88ePvjgAyZPnszAgQOLx9WsWZNvv/2WlJQUMjIy/tZndezYkS+//JInnniC5557DoBhw4aRnp7Ov//9b3766Sd2797N0qVLuf322/9RoXYmxo0bx8KFCxk3bhzbtm1j8+bNTJ48GYD69etzww03cPPNN/PRRx+xZ88efv75Z5599lmWLFlyXnOJiMjZU+EkIiLnVWhoKO3bt+e5556ja9euNG3alMcee4y77rqLl156qXjctGnTSEpKIiEhgZYtW/7tz+vcuTNffPEFjz32GC+88AJVq1Zl1apVuFwu+vbtS9OmTbn//vuJiIjAYjm/fw12796dDz74gE8//ZQWLVrQo0cP1q5dW/z6a6+9xs0338wDDzxAgwYNuOKKK1i7di0JCQnnNZeIiJw9wzRN09shREREREREyjKdcRIRERERESmFCicREREREZFSqHASEREREREphQonERERERGRUqhwEhERERERKYUKJxERERERkVKocBIRERERESmFCicREREREZFSqHASEREREREphQonERERERGRUqhwEhERERERKYUKJxERERERkVL8P83Vlj133xHuAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plt.figure(figsize=(10,6))\n",
     "\n",
@@ -590,6 +542,11 @@
    "source": [
     "Copyright (c) 2020, Dominic O'Kane "
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {
@@ -608,7 +565,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,