poetry.lock

[[package]]
category = "dev"
description = "Atomic file writes."
name = "atomicwrites"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
version = "1.3.0"

[[package]]
category = "dev"
description = "Classes Without Boilerplate"
name = "attrs"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
version = "19.3.0"

[package.extras]
azure-pipelines = ["coverage", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "pytest-azurepipelines"]
dev = ["coverage", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "sphinx", "pre-commit"]
docs = ["sphinx", "zope.interface"]
tests = ["coverage", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]

[[package]]
category = "main"
description = "Extended pickling support for Python objects"
name = "cloudpickle"
optional = false
python-versions = "*"
version = "1.2.2"

[[package]]
category = "dev"
description = "Cross-platform colored terminal text."
marker = "sys_platform == \"win32\""
name = "colorama"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
version = "0.4.1"

[[package]]
category = "main"
description = "Clean single-source support for Python 3 and 2"
name = "future"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
version = "0.18.2"

[[package]]
category = "main"
description = "The OpenAI Gym: A toolkit for developing and comparing your reinforcement learning agents."
name = "gym"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
version = "0.15.4"

[package.dependencies]
cloudpickle = ">=1.2.0,<1.3.0"
numpy = ">=1.10.4"
opencv-python = "*"
pyglet = ">=1.2.0,<=1.3.2"
scipy = "*"
six = "*"

[package.extras]
all = ["atari_py (>=0.2.0,<0.3.0)", "pillow", "opencv-python", "box2d-py (>=2.3.5,<2.4.0)", "mujoco_py (>=1.50,<2.0)", "imageio", "mujoco_py (>=1.50,<2.0)", "imageio"]
atari = ["atari_py (>=0.2.0,<0.3.0)", "pillow", "opencv-python"]
box2d = ["box2d-py (>=2.3.5,<2.4.0)"]
mujoco = ["mujoco_py (>=1.50,<2.0)", "imageio"]
robotics = ["mujoco_py (>=1.50,<2.0)", "imageio"]

[[package]]
category = "main"
description = "Read and write HDF5 files from Python"
name = "h5py"
optional = false
python-versions = "*"
version = "2.10.0"

[package.dependencies]
numpy = ">=1.7"
six = "*"

[[package]]
category = "dev"
description = "Read metadata from Python packages"
marker = "python_version < \"3.8\""
name = "importlib-metadata"
optional = false
python-versions = ">=2.7,!=3.0,!=3.1,!=3.2,!=3.3,!=3.4"
version = "1.1.0"

[package.dependencies]
zipp = ">=0.5"

[package.extras]
docs = ["sphinx", "rst.linker"]
testing = ["packaging", "importlib-resources"]

[[package]]
category = "main"
description = "Deep Learning for humans"
name = "keras"
optional = false
python-versions = "*"
version = "2.3.1"

[package.dependencies]
h5py = "*"
keras-applications = ">=1.0.6"
keras-preprocessing = ">=1.0.5"
numpy = ">=1.9.1"
pyyaml = "*"
scipy = ">=0.14"
six = ">=1.9.0"

[package.extras]
tests = ["pytest", "pytest-pep8", "pytest-xdist", "flaky", "pytest-cov", "pandas", "requests", "markdown"]
visualize = ["pydot (>=1.2.4)"]

[[package]]
category = "main"
description = "Reference implementations of popular deep learning models"
name = "keras-applications"
optional = false
python-versions = "*"
version = "1.0.8"

[package.dependencies]
h5py = "*"
numpy = ">=1.9.1"

[package.extras]
tests = ["pytest", "pytest-pep8", "pytest-xdist", "pytest-cov"]

[[package]]
category = "main"
description = "Easy data preprocessing and data augmentation for deep learning models"
name = "keras-preprocessing"
optional = false
python-versions = "*"
version = "1.1.0"

[package.dependencies]
numpy = ">=1.9.1"
six = ">=1.9.0"

[package.extras]
image = ["scipy (>=0.14)", "Pillow (>=5.2.0)"]
pep8 = ["flake8"]
tests = ["pandas", "pillow", "tensorflow (1.7)", "keras", "pytest", "pytest-xdist", "pytest-cov"]

[[package]]
category = "main"
description = "Deep Reinforcement Learning for Keras"
name = "keras-rl"
optional = false
python-versions = "*"
version = "0.4.2"

[package.dependencies]
keras = ">=2.0.7"

[package.extras]
gym = ["gym"]

[[package]]
category = "dev"
description = "More routines for operating on iterables, beyond itertools"
name = "more-itertools"
optional = false
python-versions = ">=3.5"
version = "8.0.0"

[[package]]
category = "main"
description = "NumPy is the fundamental package for array computing with Python."
name = "numpy"
optional = false
python-versions = ">=3.5"
version = "1.17.4"

[[package]]
category = "main"
description = "Wrapper package for OpenCV python bindings."
name = "opencv-python"
optional = false
python-versions = "*"
version = "3.4.4.19"

[package.dependencies]
numpy = ">=1.11.1"

[[package]]
category = "main"
description = "Powerful data structures for data analysis, time series, and statistics"
name = "pandas"
optional = false
python-versions = ">=3.5.3"
version = "0.25.3"

[package.dependencies]
numpy = ">=1.13.3"
python-dateutil = ">=2.6.1"
pytz = ">=2017.2"

[package.extras]
test = ["pytest (>=4.0.2)", "pytest-xdist", "hypothesis (>=3.58)"]

[[package]]
category = "dev"
description = "plugin and hook calling mechanisms for python"
name = "pluggy"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
version = "0.13.1"

[package.dependencies]
[package.dependencies.importlib-metadata]
python = "<3.8"
version = ">=0.12"

[package.extras]
dev = ["pre-commit", "tox"]

[[package]]
category = "dev"
description = "library with cross-python path, ini-parsing, io, code, log facilities"
name = "py"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
version = "1.8.0"

[[package]]
category = "main"
description = "Cross-platform windowing and multimedia library"
name = "pyglet"
optional = false
python-versions = "*"
version = "1.3.2"

[package.dependencies]
future = "*"

[[package]]
category = "main"
description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
name = "pysocks"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
version = "1.7.1"

[[package]]
category = "dev"
description = "pytest: simple powerful testing with Python"
name = "pytest"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
version = "3.10.1"

[package.dependencies]
atomicwrites = ">=1.0"
attrs = ">=17.4.0"
colorama = "*"
more-itertools = ">=4.0.0"
pluggy = ">=0.7"
py = ">=1.5.0"
setuptools = "*"
six = ">=1.10.0"

[[package]]
category = "main"
description = "Extensions to the standard Python datetime module"
name = "python-dateutil"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
version = "2.8.1"

[package.dependencies]
six = ">=1.5"

[[package]]
category = "main"
description = "World timezone definitions, modern and historical"
name = "pytz"
optional = false
python-versions = "*"
version = "2019.3"

[[package]]
category = "main"
description = "YAML parser and emitter for Python"
name = "pyyaml"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
version = "5.3"

[[package]]
category = "main"
description = "SciPy: Scientific Library for Python"
name = "scipy"
optional = false
python-versions = ">=3.5"
version = "1.3.2"

[package.dependencies]
numpy = ">=1.13.3"

[[package]]
category = "main"
description = "Python 2 and 3 compatibility utilities"
name = "six"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
version = "1.13.0"

[[package]]
category = "dev"
description = "Backport of pathlib-compatible object wrapper for zip files"
marker = "python_version < \"3.8\""
name = "zipp"
optional = false
python-versions = ">=2.7"
version = "0.6.0"

[package.dependencies]
more-itertools = "*"

[package.extras]
docs = ["sphinx", "jaraco.packaging (>=3.2)", "rst.linker (>=1.9)"]
testing = ["pathlib2", "contextlib2", "unittest2"]

[metadata]
content-hash = "58bb85e6d7bc8ea88deecb2986980448eed8ffe8cc33ecb8e6a1740b637f9603"
python-versions = "^3.7"

[metadata.files]
atomicwrites = [
    {file = "atomicwrites-1.3.0-py2.py3-none-any.whl", hash = "sha256:03472c30eb2c5d1ba9227e4c2ca66ab8287fbfbbda3888aa93dc2e28fc6811b4"},
    {file = "atomicwrites-1.3.0.tar.gz", hash = "sha256:75a9445bac02d8d058d5e1fe689654ba5a6556a1dfd8ce6ec55a0ed79866cfa6"},
]
attrs = [
    {file = "attrs-19.3.0-py2.py3-none-any.whl", hash = "sha256:08a96c641c3a74e44eb59afb61a24f2cb9f4d7188748e76ba4bb5edfa3cb7d1c"},
    {file = "attrs-19.3.0.tar.gz", hash = "sha256:f7b7ce16570fe9965acd6d30101a28f62fb4a7f9e926b3bbc9b61f8b04247e72"},
]
cloudpickle = [
    {file = "cloudpickle-1.2.2-py2.py3-none-any.whl", hash = "sha256:f3ef2c9d438f1553ce7795afb18c1f190d8146132496169ef6aa9b7b65caa4c3"},
    {file = "cloudpickle-1.2.2.tar.gz", hash = "sha256:922401d7140e133253ff5fab4faa4a1166416066453a783b00b507dca93f8859"},
]
colorama = [
    {file = "colorama-0.4.1-py2.py3-none-any.whl", hash = "sha256:f8ac84de7840f5b9c4e3347b3c1eaa50f7e49c2b07596221daec5edaabbd7c48"},
    {file = "colorama-0.4.1.tar.gz", hash = "sha256:05eed71e2e327246ad6b38c540c4a3117230b19679b875190486ddd2d721422d"},
]
future = [
    {file = "future-0.18.2.tar.gz", hash = "sha256:b1bead90b70cf6ec3f0710ae53a525360fa360d306a86583adc6bf83a4db537d"},
]
gym = [
    {file = "gym-0.15.4.tar.gz", hash = "sha256:3b930cbe1c76bbd30455b5e82ba723dea94159a5f988e927f443324bf7cc7ddd"},
]
h5py = [
    {file = "h5py-2.10.0-cp27-cp27m-macosx_10_6_intel.whl", hash = "sha256:ecf4d0b56ee394a0984de15bceeb97cbe1fe485f1ac205121293fc44dcf3f31f"},
    {file = "h5py-2.10.0-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:86868dc07b9cc8cb7627372a2e6636cdc7a53b7e2854ad020c9e9d8a4d3fd0f5"},
    {file = "h5py-2.10.0-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:aac4b57097ac29089f179bbc2a6e14102dd210618e94d77ee4831c65f82f17c0"},
    {file = "h5py-2.10.0-cp27-cp27m-win32.whl", hash = "sha256:7be5754a159236e95bd196419485343e2b5875e806fe68919e087b6351f40a70"},
    {file = "h5py-2.10.0-cp27-cp27m-win_amd64.whl", hash = "sha256:13c87efa24768a5e24e360a40e0bc4c49bcb7ce1bb13a3a7f9902cec302ccd36"},
    {file = "h5py-2.10.0-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:79b23f47c6524d61f899254f5cd5e486e19868f1823298bc0c29d345c2447172"},
    {file = "h5py-2.10.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:cbf28ae4b5af0f05aa6e7551cee304f1d317dbed1eb7ac1d827cee2f1ef97a99"},
    {file = "h5py-2.10.0-cp34-cp34m-manylinux1_i686.whl", hash = "sha256:c0d4b04bbf96c47b6d360cd06939e72def512b20a18a8547fa4af810258355d5"},
    {file = "h5py-2.10.0-cp34-cp34m-manylinux1_x86_64.whl", hash = "sha256:549ad124df27c056b2e255ea1c44d30fb7a17d17676d03096ad5cd85edb32dc1"},
    {file = "h5py-2.10.0-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:a5f82cd4938ff8761d9760af3274acf55afc3c91c649c50ab18fcff5510a14a5"},
    {file = "h5py-2.10.0-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:3dad1730b6470fad853ef56d755d06bb916ee68a3d8272b3bab0c1ddf83bb99e"},
    {file = "h5py-2.10.0-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:063947eaed5f271679ed4ffa36bb96f57bc14f44dd4336a827d9a02702e6ce6b"},
    {file = "h5py-2.10.0-cp35-cp35m-win32.whl", hash = "sha256:c54a2c0dd4957776ace7f95879d81582298c5daf89e77fb8bee7378f132951de"},
    {file = "h5py-2.10.0-cp35-cp35m-win_amd64.whl", hash = "sha256:6998be619c695910cb0effe5eb15d3a511d3d1a5d217d4bd0bebad1151ec2262"},
    {file = "h5py-2.10.0-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:ff7d241f866b718e4584fa95f520cb19405220c501bd3a53ee11871ba5166ea2"},
    {file = "h5py-2.10.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:54817b696e87eb9e403e42643305f142cd8b940fe9b3b490bbf98c3b8a894cf4"},
    {file = "h5py-2.10.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:d3c59549f90a891691991c17f8e58c8544060fdf3ccdea267100fa5f561ff62f"},
    {file = "h5py-2.10.0-cp36-cp36m-win32.whl", hash = "sha256:d7ae7a0576b06cb8e8a1c265a8bc4b73d05fdee6429bffc9a26a6eb531e79d72"},
    {file = "h5py-2.10.0-cp36-cp36m-win_amd64.whl", hash = "sha256:bffbc48331b4a801d2f4b7dac8a72609f0b10e6e516e5c480a3e3241e091c878"},
    {file = "h5py-2.10.0-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:51ae56894c6c93159086ffa2c94b5b3388c0400548ab26555c143e7cfa05b8e5"},
    {file = "h5py-2.10.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:16ead3c57141101e3296ebeed79c9c143c32bdd0e82a61a2fc67e8e6d493e9d1"},
    {file = "h5py-2.10.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:f0e25bb91e7a02efccb50aba6591d3fe2c725479e34769802fcdd4076abfa917"},
    {file = "h5py-2.10.0-cp37-cp37m-win32.whl", hash = "sha256:f23951a53d18398ef1344c186fb04b26163ca6ce449ebd23404b153fd111ded9"},
    {file = "h5py-2.10.0-cp37-cp37m-win_amd64.whl", hash = "sha256:8bb1d2de101f39743f91512a9750fb6c351c032e5cd3204b4487383e34da7f75"},
    {file = "h5py-2.10.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:64f74da4a1dd0d2042e7d04cf8294e04ddad686f8eba9bb79e517ae582f6668d"},
    {file = "h5py-2.10.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:d35f7a3a6cefec82bfdad2785e78359a0e6a5fbb3f605dd5623ce88082ccd681"},
    {file = "h5py-2.10.0-cp38-cp38-win32.whl", hash = "sha256:6ef7ab1089e3ef53ca099038f3c0a94d03e3560e6aff0e9d6c64c55fb13fc681"},
    {file = "h5py-2.10.0-cp38-cp38-win_amd64.whl", hash = "sha256:769e141512b54dee14ec76ed354fcacfc7d97fea5a7646b709f7400cf1838630"},
    {file = "h5py-2.10.0.tar.gz", hash = "sha256:84412798925dc870ffd7107f045d7659e60f5d46d1c70c700375248bf6bf512d"},
]
importlib-metadata = [
    {file = "importlib_metadata-1.1.0-py2.py3-none-any.whl", hash = "sha256:e6ac600a142cf2db707b1998382cc7fc3b02befb7273876e01b8ad10b9652742"},
    {file = "importlib_metadata-1.1.0.tar.gz", hash = "sha256:b044f07694ef14a6683b097ba56bd081dbc7cdc7c7fe46011e499dfecc082f21"},
]
keras = [
    {file = "Keras-2.3.1-py2.py3-none-any.whl", hash = "sha256:d08a57bd63546175f8f19232ba05906514d419da3e0af8ef7437fa1c11442e20"},
    {file = "Keras-2.3.1.tar.gz", hash = "sha256:321d43772006a25a1d58eea17401ef2a34d388b588c9f7646c34796151ebc8cc"},
]
keras-applications = [
    {file = "Keras_Applications-1.0.8-py3-none-any.whl", hash = "sha256:df4323692b8c1174af821bf906f1e442e63fa7589bf0f1230a0b6bdc5a810c95"},
    {file = "Keras_Applications-1.0.8.tar.gz", hash = "sha256:5579f9a12bcde9748f4a12233925a59b93b73ae6947409ff34aa2ba258189fe5"},
]
keras-preprocessing = [
    {file = "Keras_Preprocessing-1.1.0-py2.py3-none-any.whl", hash = "sha256:44aee5f2c4d80c3b29f208359fcb336df80f293a0bb6b1c738da43ca206656fb"},
    {file = "Keras_Preprocessing-1.1.0.tar.gz", hash = "sha256:5a8debe01d840de93d49e05ccf1c9b81ae30e210d34dacbcc47aeb3049b528e5"},
]
keras-rl = [
    {file = "keras-rl-0.4.2.tar.gz", hash = "sha256:7bbbb24c8f4560a03f59fb062a5003da102de033bc8cd7d06b69b4c1b48ec054"},
]
more-itertools = [
    {file = "more-itertools-8.0.0.tar.gz", hash = "sha256:53ff73f186307d9c8ef17a9600309154a6ae27f25579e80af4db8f047ba14bc2"},
    {file = "more_itertools-8.0.0-py3-none-any.whl", hash = "sha256:a0ea684c39bc4315ba7aae406596ef191fd84f873d2d2751f84d64e81a7a2d45"},
]
numpy = [
    {file = "numpy-1.17.4-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:ede47b98de79565fcd7f2decb475e2dcc85ee4097743e551fe26cfc7eb3ff143"},
    {file = "numpy-1.17.4-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:43bb4b70585f1c2d153e45323a886839f98af8bfa810f7014b20be714c37c447"},
    {file = "numpy-1.17.4-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:c7354e8f0eca5c110b7e978034cd86ed98a7a5ffcf69ca97535445a595e07b8e"},
    {file = "numpy-1.17.4-cp35-cp35m-win32.whl", hash = "sha256:64874913367f18eb3013b16123c9fed113962e75d809fca5b78ebfbb73ed93ba"},
    {file = "numpy-1.17.4-cp35-cp35m-win_amd64.whl", hash = "sha256:6ca4000c4a6f95a78c33c7dadbb9495c10880be9c89316aa536eac359ab820ae"},
    {file = "numpy-1.17.4-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:75fd817b7061f6378e4659dd792c84c0b60533e867f83e0d1e52d5d8e53df88c"},
    {file = "numpy-1.17.4-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:7d81d784bdbed30137aca242ab307f3e65c8d93f4c7b7d8f322110b2e90177f9"},
    {file = "numpy-1.17.4-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:fe39f5fd4103ec4ca3cb8600b19216cd1ff316b4990f4c0b6057ad982c0a34d5"},
    {file = "numpy-1.17.4-cp36-cp36m-win32.whl", hash = "sha256:e467c57121fe1b78a8f68dd9255fbb3bb3f4f7547c6b9e109f31d14569f490c3"},
    {file = "numpy-1.17.4-cp36-cp36m-win_amd64.whl", hash = "sha256:8d0af8d3664f142414fd5b15cabfd3b6cc3ef242a3c7a7493257025be5a6955f"},
    {file = "numpy-1.17.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:9679831005fb16c6df3dd35d17aa31dc0d4d7573d84f0b44cc481490a65c7725"},
    {file = "numpy-1.17.4-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:acbf5c52db4adb366c064d0b7c7899e3e778d89db585feadd23b06b587d64761"},
    {file = "numpy-1.17.4-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:3d52298d0be333583739f1aec9026f3b09fdfe3ddf7c7028cb16d9d2af1cca7e"},
    {file = "numpy-1.17.4-cp37-cp37m-win32.whl", hash = "sha256:475963c5b9e116c38ad7347e154e5651d05a2286d86455671f5b1eebba5feb76"},
    {file = "numpy-1.17.4-cp37-cp37m-win_amd64.whl", hash = "sha256:0c0763787133dfeec19904c22c7e358b231c87ba3206b211652f8cbe1241deb6"},
    {file = "numpy-1.17.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:683828e50c339fc9e68720396f2de14253992c495fdddef77a1e17de55f1decc"},
    {file = "numpy-1.17.4-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e2e9d8c87120ba2c591f60e32736b82b67f72c37ba88a4c23c81b5b8fa49c018"},
    {file = "numpy-1.17.4-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:a8f67ebfae9f575d85fa859b54d3bdecaeece74e3274b0b5c5f804d7ca789fe1"},
    {file = "numpy-1.17.4-cp38-cp38-win32.whl", hash = "sha256:0a7a1dd123aecc9f0076934288ceed7fd9a81ba3919f11a855a7887cbe82a02f"},
    {file = "numpy-1.17.4-cp38-cp38-win_amd64.whl", hash = "sha256:ada4805ed51f5bcaa3a06d3dd94939351869c095e30a2b54264f5a5004b52170"},
    {file = "numpy-1.17.4.zip", hash = "sha256:f58913e9227400f1395c7b800503ebfdb0772f1c33ff8cb4d6451c06cabdf316"},
]
opencv-python = [
    {file = "opencv_python-3.4.4.19-cp27-cp27m-macosx_10_6_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:72f3c9dc4b0016a6e1135fb1549da8445851cb790e0020a217fe28ad8dad76e0"},
    {file = "opencv_python-3.4.4.19-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:33e021aad18f40bfae2efb3431708bb29ddcba7c6a9199297f5832468e6bc772"},
    {file = "opencv_python-3.4.4.19-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:518b7b81df7ef0731714ad0363968649c60071b9072cdbc64efc1672d4f574e8"},
    {file = "opencv_python-3.4.4.19-cp27-cp27m-win32.whl", hash = "sha256:526c9b23b649184f2b0a2c8f8000ecfbe3d7da354ed74c8aec87d6878656361e"},
    {file = "opencv_python-3.4.4.19-cp27-cp27m-win_amd64.whl", hash = "sha256:a4de364e46d68f4eb392219a5135d3b8470926fddd264415b3524566bbf50782"},
    {file = "opencv_python-3.4.4.19-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:18bc3a32995215f77740dbe491990ea91772b1afa585431fd6e916e0a5f759b2"},
    {file = "opencv_python-3.4.4.19-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:f6952b0ccce36c4f6a25441164e6ff89298c716547ff23c4862b7e91300714a6"},
    {file = "opencv_python-3.4.4.19-cp34-cp34m-macosx_10_6_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:4f83451dc1857c4bfa0096bc5e720530f71e99787e66a315fe6901c0d15331cf"},
    {file = "opencv_python-3.4.4.19-cp34-cp34m-manylinux1_i686.whl", hash = "sha256:8d945a9544287949c70bcf23ce8a09724f50adc365f22ff28a77d9427ef74238"},
    {file = "opencv_python-3.4.4.19-cp34-cp34m-manylinux1_x86_64.whl", hash = "sha256:b43e3079a85efbff04ced76445b75dd3ee220b4251ac83cb1750fad9cf445f3d"},
    {file = "opencv_python-3.4.4.19-cp34-cp34m-win32.whl", hash = "sha256:9adfc5ad89cb4ea4afa445494138cef79316adf7e45cea467ee1ea09571bd31c"},
    {file = "opencv_python-3.4.4.19-cp34-cp34m-win_amd64.whl", hash = "sha256:2ff1900511bbb948418a20d20501eee33eed035fde3c5aad5e305123f1e98fbe"},
    {file = "opencv_python-3.4.4.19-cp35-cp35m-macosx_10_6_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:1baac6bdf28c817e1446ad1cab938d685456053708fb64722b95c0108e126fe1"},
    {file = "opencv_python-3.4.4.19-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:e20c771adcd8867aeca7df8605f26bdabbab41895efdac8fe602a3203438b025"},
    {file = "opencv_python-3.4.4.19-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:3b59036967f015b6fe381b9e8c3836ac4056045988f83d09e8644a71908ceca9"},
    {file = "opencv_python-3.4.4.19-cp35-cp35m-win32.whl", hash = "sha256:4cb787d796fcbff36c40d4bff9d7ee00ec1bb4c059b907aee6ad0d61b4633808"},
    {file = "opencv_python-3.4.4.19-cp35-cp35m-win_amd64.whl", hash = "sha256:9f7754a877ec0de3e8dcaf7d99e23b2d3114b057087100424d5772b6e7564abe"},
    {file = "opencv_python-3.4.4.19-cp36-cp36m-macosx_10_6_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:6f36ab695bc43c62a11276b6de4253898afa064a2a13d569bd7939c63b0eed4d"},
    {file = "opencv_python-3.4.4.19-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:9d3e53880d9ef9f7838fb2a54fa576466329fbc67d27a4c99aac7971e290ab26"},
    {file = "opencv_python-3.4.4.19-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:d48ca719e8ab5c41238da398830cbe3e482cce0dc0f0b9ade033f86d595ecc98"},
    {file = "opencv_python-3.4.4.19-cp36-cp36m-win32.whl", hash = "sha256:19a1cbeaef79592c74c5051fa54933dd36bdd4d690df9f69a3da9fa0053bb49a"},
    {file = "opencv_python-3.4.4.19-cp36-cp36m-win_amd64.whl", hash = "sha256:2a7d93fcd61294b014f653084295920edf1fb1c36d7a68a287cc2b4a4b2399e1"},
    {file = "opencv_python-3.4.4.19-cp37-cp37m-macosx_10_6_x86_64.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:26efbd00b17fcdd9eef9ba79ac6f280694b519cfdacbd7965f521f521c83a74f"},
    {file = "opencv_python-3.4.4.19-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:7383c413a96e64a301b3906ffddd6bc2105c81966ad52f8aaa2835446ad4ed4f"},
    {file = "opencv_python-3.4.4.19-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:80f2feab5e9ba3f0ba3788a7162c7733ba4524e2ac001c20fd63af1cb9626625"},
    {file = "opencv_python-3.4.4.19-cp37-cp37m-win32.whl", hash = "sha256:a4e1c9df81c9d13ea7711141d1cee96def112a199ccc76212a8e7a65b7a4e658"},
    {file = "opencv_python-3.4.4.19-cp37-cp37m-win_amd64.whl", hash = "sha256:d1df5005261ae44597d9bccf5317fcdccfdc1083525ef24884bb5c066d1ab4ba"},
]
pandas = [
    {file = "pandas-0.25.3-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:df8864824b1fe488cf778c3650ee59c3a0d8f42e53707de167ba6b4f7d35f133"},
    {file = "pandas-0.25.3-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:7458c48e3d15b8aaa7d575be60e1e4dd70348efcd9376656b72fecd55c59a4c3"},
    {file = "pandas-0.25.3-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:61741f5aeb252f39c3031d11405305b6d10ce663c53bc3112705d7ad66c013d0"},
    {file = "pandas-0.25.3-cp35-cp35m-win32.whl", hash = "sha256:adc3d3a3f9e59a38d923e90e20c4922fc62d1e5a03d083440468c6d8f3f1ae0a"},
    {file = "pandas-0.25.3-cp35-cp35m-win_amd64.whl", hash = "sha256:975c461accd14e89d71772e89108a050fa824c0b87a67d34cedf245f6681fc17"},
    {file = "pandas-0.25.3-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:ee50c2142cdcf41995655d499a157d0a812fce55c97d9aad13bc1eef837ed36c"},
    {file = "pandas-0.25.3-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:4545467a637e0e1393f7d05d61dace89689ad6d6f66f267f86fff737b702cce9"},
    {file = "pandas-0.25.3-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:bbe3eb765a0b1e578833d243e2814b60c825b7fdbf4cdfe8e8aae8a08ed56ecf"},
    {file = "pandas-0.25.3-cp36-cp36m-win32.whl", hash = "sha256:8153705d6545fd9eb6dd2bc79301bff08825d2e2f716d5dced48daafc2d0b81f"},
    {file = "pandas-0.25.3-cp36-cp36m-win_amd64.whl", hash = "sha256:26382aab9c119735908d94d2c5c08020a4a0a82969b7e5eefb92f902b3b30ad7"},
    {file = "pandas-0.25.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:00dff3a8e337f5ed7ad295d98a31821d3d0fe7792da82d78d7fd79b89c03ea9d"},
    {file = "pandas-0.25.3-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:e45055c30a608076e31a9fcd780a956ed3b1fa20db61561b8d88b79259f526f7"},
    {file = "pandas-0.25.3-cp37-cp37m-win32.whl", hash = "sha256:255920e63850dc512ce356233081098554d641ba99c3767dde9e9f35630f994b"},
    {file = "pandas-0.25.3-cp37-cp37m-win_amd64.whl", hash = "sha256:22361b1597c8c2ffd697aa9bf85423afa9e1fcfa6b1ea821054a244d5f24d75e"},
    {file = "pandas-0.25.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9962957a27bfb70ab64103d0a7b42fa59c642fb4ed4cb75d0227b7bb9228535d"},
    {file = "pandas-0.25.3-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:78bf638993219311377ce9836b3dc05f627a666d0dbc8cec37c0ff3c9ada673b"},
    {file = "pandas-0.25.3-cp38-cp38-win32.whl", hash = "sha256:6a3ac2c87e4e32a969921d1428525f09462770c349147aa8e9ab95f88c71ec71"},
    {file = "pandas-0.25.3-cp38-cp38-win_amd64.whl", hash = "sha256:33970f4cacdd9a0ddb8f21e151bfb9f178afb7c36eb7c25b9094c02876f385c2"},
    {file = "pandas-0.25.3.tar.gz", hash = "sha256:52da74df8a9c9a103af0a72c9d5fdc8e0183a90884278db7f386b5692a2220a4"},
]
pluggy = [
    {file = "pluggy-0.13.1-py2.py3-none-any.whl", hash = "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"},
    {file = "pluggy-0.13.1.tar.gz", hash = "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0"},
]
py = [
    {file = "py-1.8.0-py2.py3-none-any.whl", hash = "sha256:64f65755aee5b381cea27766a3a147c3f15b9b6b9ac88676de66ba2ae36793fa"},
    {file = "py-1.8.0.tar.gz", hash = "sha256:dc639b046a6e2cff5bbe40194ad65936d6ba360b52b3c3fe1d08a82dd50b5e53"},
]
pyglet = [
    {file = "pyglet-1.3.2-py2.py3-none-any.whl", hash = "sha256:8b07aea16f34ac861cffd06a0c17723ca944d172e577b57b21859b7990709a66"},
    {file = "pyglet-1.3.2.tar.gz", hash = "sha256:b00570e7cdf6971af8953b6ece50d83d13272afa5d1f1197c58c0f478dd17743"},
]
pysocks = [
    {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
    {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
    {file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"},
]
pytest = [
    {file = "pytest-3.10.1-py2.py3-none-any.whl", hash = "sha256:3f193df1cfe1d1609d4c583838bea3d532b18d6160fd3f55c9447fdca30848ec"},
    {file = "pytest-3.10.1.tar.gz", hash = "sha256:e246cf173c01169b9617fc07264b7b1316e78d7a650055235d6d897bc80d9660"},
]
python-dateutil = [
    {file = "python-dateutil-2.8.1.tar.gz", hash = "sha256:73ebfe9dbf22e832286dafa60473e4cd239f8592f699aa5adaf10050e6e1823c"},
    {file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
]
pytz = [
    {file = "pytz-2019.3-py2.py3-none-any.whl", hash = "sha256:1c557d7d0e871de1f5ccd5833f60fb2550652da6be2693c1e02300743d21500d"},
    {file = "pytz-2019.3.tar.gz", hash = "sha256:b02c06db6cf09c12dd25137e563b31700d3b80fcc4ad23abb7a315f2789819be"},
]
pyyaml = [
    {file = "PyYAML-5.3-cp27-cp27m-win32.whl", hash = "sha256:940532b111b1952befd7db542c370887a8611660d2b9becff75d39355303d82d"},
    {file = "PyYAML-5.3-cp27-cp27m-win_amd64.whl", hash = "sha256:059b2ee3194d718896c0ad077dd8c043e5e909d9180f387ce42012662a4946d6"},
    {file = "PyYAML-5.3-cp35-cp35m-win32.whl", hash = "sha256:4fee71aa5bc6ed9d5f116327c04273e25ae31a3020386916905767ec4fc5317e"},
    {file = "PyYAML-5.3-cp35-cp35m-win_amd64.whl", hash = "sha256:dbbb2379c19ed6042e8f11f2a2c66d39cceb8aeace421bfc29d085d93eda3689"},
    {file = "PyYAML-5.3-cp36-cp36m-win32.whl", hash = "sha256:e3a057b7a64f1222b56e47bcff5e4b94c4f61faac04c7c4ecb1985e18caa3994"},
    {file = "PyYAML-5.3-cp36-cp36m-win_amd64.whl", hash = "sha256:74782fbd4d4f87ff04159e986886931456a1894c61229be9eaf4de6f6e44b99e"},
    {file = "PyYAML-5.3-cp37-cp37m-win32.whl", hash = "sha256:24521fa2890642614558b492b473bee0ac1f8057a7263156b02e8b14c88ce6f5"},
    {file = "PyYAML-5.3-cp37-cp37m-win_amd64.whl", hash = "sha256:1cf708e2ac57f3aabc87405f04b86354f66799c8e62c28c5fc5f88b5521b2dbf"},
    {file = "PyYAML-5.3-cp38-cp38-win32.whl", hash = "sha256:70024e02197337533eef7b85b068212420f950319cc8c580261963aefc75f811"},
    {file = "PyYAML-5.3-cp38-cp38-win_amd64.whl", hash = "sha256:cb1f2f5e426dc9f07a7681419fe39cee823bb74f723f36f70399123f439e9b20"},
    {file = "PyYAML-5.3.tar.gz", hash = "sha256:e9f45bd5b92c7974e59bcd2dcc8631a6b6cc380a904725fce7bc08872e691615"},
]
scipy = [
    {file = "scipy-1.3.2-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:7a0477929e6f9d5928fe81fe75d00b7da9545a49109e66028d85848b18aeef99"},
    {file = "scipy-1.3.2-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:0f81e71149539ac09053a3f9165659367b060eceef3bbde11e6600e1c341f1f2"},
    {file = "scipy-1.3.2-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:ecfd45ca0ce1d6c13bef17794b4052cc9a9574f4be8d44c9bcfd7e34294bd2d7"},
    {file = "scipy-1.3.2-cp35-cp35m-win32.whl", hash = "sha256:ee5888c62cd83c9bf9927ffcee08434e7d5c81a8f31e5b85af5470e511022c08"},
    {file = "scipy-1.3.2-cp35-cp35m-win_amd64.whl", hash = "sha256:07673b5b96dbe28c88f3a53ca9af67f802aa853de7402e31f473b4dd6501c799"},
    {file = "scipy-1.3.2-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:2e4b5fdb635dd425bf46fbd6381612692d3c795f1eb6fe62410305a440691d46"},
    {file = "scipy-1.3.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:4ad7a3ae9831d2085d6f50b81bfcd76368293eafdf31f4ac9f109c6061309c24"},
    {file = "scipy-1.3.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:df4dbd3d40db3f667e0145dba5f50954bf28b2dd5b8b400c79d5e3fe8cb67ce2"},
    {file = "scipy-1.3.2-cp36-cp36m-win32.whl", hash = "sha256:470d8fc76ccab6cfff60a9de4ce316a23ee7f63615d948c7446dc7c1bb45042d"},
    {file = "scipy-1.3.2-cp36-cp36m-win_amd64.whl", hash = "sha256:f018892621b787b9abf76d51d1f0c21611c71752ebb1891ccf7992e0bf973708"},
    {file = "scipy-1.3.2-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:34c48d922760782732d6f8f4532e320984d1280763c6787c6582021d34c8ad79"},
    {file = "scipy-1.3.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:33ac3213ee617bbc0eac84d02b130d69093ed7738afb281dfdeb12a9dbdf1530"},
    {file = "scipy-1.3.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:9c3221039da50f3b60da70b65d6b020ea26cefbb097116cfec696010432d1f6c"},
    {file = "scipy-1.3.2-cp37-cp37m-win32.whl", hash = "sha256:2dc26e5b3eb86b7adad506b6b04020f6a87e1102c9acd039e937d28bdcee7fa6"},
    {file = "scipy-1.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:0359576d8cc058bd615999cf985e2423dc6cc824666d60e8b8d4810569a04655"},
    {file = "scipy-1.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e837c8068bd1929a533e9d51562faf6584ddb5303d9e218d8c11aa4719dcd617"},
    {file = "scipy-1.3.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:61812a7db0d9bc3f13653e52b8ddb1935cf444ec55f39160fc2778aeb2719057"},
    {file = "scipy-1.3.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:3f556f63e070e9596624e42e99d23b259d8f0fc63ec093bef97a9f1c579565b2"},
    {file = "scipy-1.3.2-cp38-cp38-win32.whl", hash = "sha256:125aa82f7b3d4bd7f77fed6c3c6e31be47e33f129d829799569389ae59f913e7"},
    {file = "scipy-1.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:f2d5db81d90d14a32d4aff920f52fca5639bcaaaf87b4f61bce83a1d238f49fc"},
    {file = "scipy-1.3.2.tar.gz", hash = "sha256:a03939b431994289f39373c57bbe452974a7da724ae7f9620a1beee575434da4"},
]
six = [
    {file = "six-1.13.0-py2.py3-none-any.whl", hash = "sha256:1f1b7d42e254082a9db6279deae68afb421ceba6158efa6131de7b3003ee93fd"},
    {file = "six-1.13.0.tar.gz", hash = "sha256:30f610279e8b2578cab6db20741130331735c781b56053c59c4076da27f06b66"},
]
zipp = [
    {file = "zipp-0.6.0-py2.py3-none-any.whl", hash = "sha256:f06903e9f1f43b12d371004b4ac7b06ab39a44adc747266928ae6debfa7b3335"},
    {file = "zipp-0.6.0.tar.gz", hash = "sha256:3718b1cbcd963c7d4c5511a8240812904164b7f381b647143a89d3b98f9bcd8e"},
]