689 lines
32 KiB
TOML
689 lines
32 KiB
TOML
[[package]]
|
|
category = "main"
|
|
description = "Disable App Nap on OS X 10.9"
|
|
marker = "python_version >= \"3.3\" and sys_platform == \"darwin\" or sys_platform == \"darwin\""
|
|
name = "appnope"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.1.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Classes Without Boilerplate"
|
|
name = "attrs"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
|
version = "19.2.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Specifications for callback functions passed in to an API"
|
|
name = "backcall"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.1.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "An easy safelist-based HTML-sanitizing tool."
|
|
name = "bleach"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
|
version = "3.1.0"
|
|
|
|
[package.dependencies]
|
|
six = ">=1.9.0"
|
|
webencodings = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Cross-platform colored terminal text."
|
|
marker = "python_version >= \"3.3\" and sys_platform == \"win32\" or 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 = "Composable style cycles"
|
|
name = "cycler"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.10.0"
|
|
|
|
[package.dependencies]
|
|
six = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Better living through Python with decorators"
|
|
name = "decorator"
|
|
optional = false
|
|
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
|
|
version = "4.4.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "XML bomb protection for Python stdlib modules"
|
|
name = "defusedxml"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
|
version = "0.6.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Discover and load entry points from installed packages."
|
|
name = "entrypoints"
|
|
optional = false
|
|
python-versions = ">=2.7"
|
|
version = "0.3"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "IPython Kernel for Jupyter"
|
|
name = "ipykernel"
|
|
optional = false
|
|
python-versions = ">=3.4"
|
|
version = "5.1.2"
|
|
|
|
[package.dependencies]
|
|
ipython = ">=5.0.0"
|
|
jupyter-client = "*"
|
|
tornado = ">=4.2"
|
|
traitlets = ">=4.1.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "IPython: Productive Interactive Computing"
|
|
name = "ipython"
|
|
optional = false
|
|
python-versions = ">=3.5"
|
|
version = "7.8.0"
|
|
|
|
[package.dependencies]
|
|
appnope = "*"
|
|
backcall = "*"
|
|
colorama = "*"
|
|
decorator = "*"
|
|
jedi = ">=0.10"
|
|
pexpect = "*"
|
|
pickleshare = "*"
|
|
prompt-toolkit = ">=2.0.0,<2.1.0"
|
|
pygments = "*"
|
|
setuptools = ">=18.5"
|
|
traitlets = ">=4.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Vestigial utilities from IPython"
|
|
name = "ipython-genutils"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.2.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "IPython HTML widgets for Jupyter"
|
|
name = "ipywidgets"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "7.5.1"
|
|
|
|
[package.dependencies]
|
|
ipykernel = ">=4.5.1"
|
|
nbformat = ">=4.2.0"
|
|
traitlets = ">=4.3.1"
|
|
widgetsnbextension = ">=3.5.0,<3.6.0"
|
|
|
|
[package.dependencies.ipython]
|
|
python = ">=3.3"
|
|
version = ">=4.0.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "An autocompletion tool for Python that can be used for text editors."
|
|
name = "jedi"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
|
version = "0.15.1"
|
|
|
|
[package.dependencies]
|
|
parso = ">=0.5.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "A small but fast and easy to use stand-alone template engine written in pure python."
|
|
name = "jinja2"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "2.10.1"
|
|
|
|
[package.dependencies]
|
|
MarkupSafe = ">=0.23"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Lightweight pipelining: using Python functions as pipeline jobs."
|
|
name = "joblib"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.14.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "An implementation of JSON Schema validation for Python"
|
|
name = "jsonschema"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "3.0.2"
|
|
|
|
[package.dependencies]
|
|
attrs = ">=17.4.0"
|
|
pyrsistent = ">=0.14.0"
|
|
setuptools = "*"
|
|
six = ">=1.11.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Jupyter metapackage. Install all the Jupyter components in one go."
|
|
name = "jupyter"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "1.0.0"
|
|
|
|
[package.dependencies]
|
|
ipykernel = "*"
|
|
ipywidgets = "*"
|
|
jupyter-console = "*"
|
|
nbconvert = "*"
|
|
notebook = "*"
|
|
qtconsole = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Jupyter protocol implementation and client libraries"
|
|
name = "jupyter-client"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
|
version = "5.3.3"
|
|
|
|
[package.dependencies]
|
|
jupyter-core = "*"
|
|
python-dateutil = ">=2.1"
|
|
pywin32 = ">=1.0"
|
|
pyzmq = ">=13"
|
|
tornado = ">=4.1"
|
|
traitlets = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Jupyter terminal console"
|
|
name = "jupyter-console"
|
|
optional = false
|
|
python-versions = ">=3.5"
|
|
version = "6.0.0"
|
|
|
|
[package.dependencies]
|
|
ipykernel = "*"
|
|
ipython = "*"
|
|
jupyter-client = "*"
|
|
prompt-toolkit = ">=2.0.0,<2.1.0"
|
|
pygments = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Jupyter core package. A base package on which Jupyter projects rely."
|
|
name = "jupyter-core"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0, !=3.1, !=3.2"
|
|
version = "4.5.0"
|
|
|
|
[package.dependencies]
|
|
traitlets = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "A fast implementation of the Cassowary constraint solver"
|
|
name = "kiwisolver"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
|
version = "1.1.0"
|
|
|
|
[package.dependencies]
|
|
setuptools = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Safely add untrusted strings to HTML/XML markup."
|
|
name = "markupsafe"
|
|
optional = false
|
|
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
|
|
version = "1.1.1"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Python plotting package"
|
|
name = "matplotlib"
|
|
optional = false
|
|
python-versions = ">=3.6"
|
|
version = "3.1.1"
|
|
|
|
[package.dependencies]
|
|
cycler = ">=0.10"
|
|
kiwisolver = ">=1.0.1"
|
|
numpy = ">=1.11"
|
|
pyparsing = ">=2.0.1,<2.0.4 || >2.0.4,<2.1.2 || >2.1.2,<2.1.6 || >2.1.6"
|
|
python-dateutil = ">=2.1"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "The fastest markdown parser in pure Python"
|
|
name = "mistune"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.8.4"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Converting Jupyter Notebooks"
|
|
name = "nbconvert"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
|
version = "5.6.0"
|
|
|
|
[package.dependencies]
|
|
bleach = "*"
|
|
defusedxml = "*"
|
|
entrypoints = ">=0.2.2"
|
|
jinja2 = ">=2.4"
|
|
jupyter-core = "*"
|
|
mistune = ">=0.8.1,<2"
|
|
nbformat = ">=4.4"
|
|
pandocfilters = ">=1.4.1"
|
|
pygments = "*"
|
|
testpath = "*"
|
|
traitlets = ">=4.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "The Jupyter Notebook format"
|
|
name = "nbformat"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "4.4.0"
|
|
|
|
[package.dependencies]
|
|
ipython-genutils = "*"
|
|
jsonschema = ">=2.4,<2.5.0 || >2.5.0"
|
|
jupyter-core = "*"
|
|
traitlets = ">=4.1"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "A web-based notebook environment for interactive computing"
|
|
name = "notebook"
|
|
optional = false
|
|
python-versions = ">=3.5"
|
|
version = "6.0.1"
|
|
|
|
[package.dependencies]
|
|
Send2Trash = "*"
|
|
ipykernel = "*"
|
|
ipython-genutils = "*"
|
|
jinja2 = "*"
|
|
jupyter-client = ">=5.3.1"
|
|
jupyter-core = ">=4.4.0"
|
|
nbconvert = "*"
|
|
nbformat = "*"
|
|
prometheus-client = "*"
|
|
pyzmq = ">=17"
|
|
terminado = ">=0.8.1"
|
|
tornado = ">=5.0"
|
|
traitlets = ">=4.2.1"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "NumPy is the fundamental package for array computing with Python."
|
|
name = "numpy"
|
|
optional = false
|
|
python-versions = ">=3.5"
|
|
version = "1.17.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Powerful data structures for data analysis, time series, and statistics"
|
|
name = "pandas"
|
|
optional = false
|
|
python-versions = ">=3.5.3"
|
|
version = "0.25.1"
|
|
|
|
[package.dependencies]
|
|
numpy = ">=1.13.3"
|
|
python-dateutil = ">=2.6.1"
|
|
pytz = ">=2017.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Utilities for writing pandoc filters in python"
|
|
name = "pandocfilters"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "1.4.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "A Python Parser"
|
|
name = "parso"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.5.1"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Pexpect allows easy control of interactive console applications."
|
|
marker = "python_version >= \"3.3\" and sys_platform != \"win32\" or sys_platform != \"win32\""
|
|
name = "pexpect"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "4.7.0"
|
|
|
|
[package.dependencies]
|
|
ptyprocess = ">=0.5"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Tiny 'shelve'-like database with concurrency support"
|
|
name = "pickleshare"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.7.5"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Python client for the Prometheus monitoring system."
|
|
name = "prometheus-client"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.7.1"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Library for building powerful interactive command lines in Python"
|
|
name = "prompt-toolkit"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "2.0.9"
|
|
|
|
[package.dependencies]
|
|
six = ">=1.9.0"
|
|
wcwidth = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Run a subprocess in a pseudo terminal"
|
|
marker = "sys_platform != \"win32\" or os_name != \"nt\" or python_version >= \"3.3\" and sys_platform != \"win32\""
|
|
name = "ptyprocess"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.6.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Pygments is a syntax highlighting package written in Python."
|
|
name = "pygments"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
|
version = "2.4.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Python parsing module"
|
|
name = "pyparsing"
|
|
optional = false
|
|
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
|
|
version = "2.4.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Persistent/Functional/Immutable data structures"
|
|
name = "pyrsistent"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.15.4"
|
|
|
|
[package.dependencies]
|
|
six = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Extensions to the standard Python datetime module"
|
|
name = "python-dateutil"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
|
version = "2.8.0"
|
|
|
|
[package.dependencies]
|
|
six = ">=1.5"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "World timezone definitions, modern and historical"
|
|
name = "pytz"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "2019.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Python for Window Extensions"
|
|
marker = "sys_platform == \"win32\""
|
|
name = "pywin32"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "225"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Python bindings for the winpty library"
|
|
marker = "os_name == \"nt\""
|
|
name = "pywinpty"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.5.5"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Python bindings for 0MQ"
|
|
name = "pyzmq"
|
|
optional = false
|
|
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*"
|
|
version = "18.1.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Jupyter Qt console"
|
|
name = "qtconsole"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "4.5.5"
|
|
|
|
[package.dependencies]
|
|
ipykernel = ">=4.1"
|
|
ipython-genutils = "*"
|
|
jupyter-client = ">=4.1"
|
|
jupyter-core = "*"
|
|
pygments = "*"
|
|
traitlets = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "A set of python modules for machine learning and data mining"
|
|
name = "scikit-learn"
|
|
optional = false
|
|
python-versions = ">=3.5"
|
|
version = "0.21.3"
|
|
|
|
[package.dependencies]
|
|
joblib = ">=0.11"
|
|
numpy = ">=1.11.0"
|
|
scipy = ">=0.17.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "SciPy: Scientific Library for Python"
|
|
name = "scipy"
|
|
optional = false
|
|
python-versions = ">=3.5"
|
|
version = "1.3.1"
|
|
|
|
[package.dependencies]
|
|
numpy = ">=1.13.3"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Send file to trash natively under Mac OS X, Windows and Linux."
|
|
name = "send2trash"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "1.5.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Python 2 and 3 compatibility utilities"
|
|
name = "six"
|
|
optional = false
|
|
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
|
|
version = "1.12.0"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Terminals served to xterm.js using Tornado websockets"
|
|
name = "terminado"
|
|
optional = false
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
|
version = "0.8.2"
|
|
|
|
[package.dependencies]
|
|
ptyprocess = "*"
|
|
pywinpty = ">=0.5"
|
|
tornado = ">=4"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Test utilities for code working with files and commands"
|
|
name = "testpath"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.4.2"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
|
|
name = "tornado"
|
|
optional = false
|
|
python-versions = ">= 3.5"
|
|
version = "6.0.3"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Traitlets Python config system"
|
|
name = "traitlets"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "4.3.2"
|
|
|
|
[package.dependencies]
|
|
decorator = "*"
|
|
ipython-genutils = "*"
|
|
six = "*"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Measures number of Terminal column cells of wide-character codes"
|
|
name = "wcwidth"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.1.7"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "Character encoding aliases for legacy web content"
|
|
name = "webencodings"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "0.5.1"
|
|
|
|
[[package]]
|
|
category = "main"
|
|
description = "IPython HTML widgets for Jupyter"
|
|
name = "widgetsnbextension"
|
|
optional = false
|
|
python-versions = "*"
|
|
version = "3.5.1"
|
|
|
|
[package.dependencies]
|
|
notebook = ">=4.4.1"
|
|
|
|
[metadata]
|
|
content-hash = "a3ff172975371433ae31a3594786d5fdff6d2a065f91dad939a4ab8b919ac29f"
|
|
python-versions = "^3.6"
|
|
|
|
[metadata.hashes]
|
|
appnope = ["5b26757dc6f79a3b7dc9fab95359328d5747fcb2409d331ea66d0272b90ab2a0", "8b995ffe925347a2138d7ac0fe77155e4311a0ea6d6da4f5128fe4b3cbe5ed71"]
|
|
attrs = ["ec20e7a4825331c1b5ebf261d111e16fa9612c1f7a5e1f884f12bd53a664dfd2", "f913492e1663d3c36f502e5e9ba6cd13cf19d7fab50aa13239e420fef95e1396"]
|
|
backcall = ["38ecd85be2c1e78f77fd91700c76e14667dc21e2713b63876c0eb901196e01e4", "bbbf4b1e5cd2bdb08f915895b51081c041bac22394fdfcfdfbe9f14b77c08bf2"]
|
|
bleach = ["213336e49e102af26d9cde77dd2d0397afabc5a6bf2fed985dc35b5d1e285a16", "3fdf7f77adcf649c9911387df51254b813185e32b2c6619f690b593a617e19fa"]
|
|
colorama = ["05eed71e2e327246ad6b38c540c4a3117230b19679b875190486ddd2d721422d", "f8ac84de7840f5b9c4e3347b3c1eaa50f7e49c2b07596221daec5edaabbd7c48"]
|
|
cycler = ["1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d", "cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"]
|
|
decorator = ["86156361c50488b84a3f148056ea716ca587df2f0de1d34750d35c21312725de", "f069f3a01830ca754ba5258fde2278454a0b5b79e0d7f5c13b3b97e57d4acff6"]
|
|
defusedxml = ["6687150770438374ab581bb7a1b327a847dd9c5749e396102de3fad4e8a3ef93", "f684034d135af4c6cbb949b8a4d2ed61634515257a67299e5f940fbaa34377f5"]
|
|
entrypoints = ["589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19", "c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"]
|
|
ipykernel = ["167c3ef08450f5e060b76c749905acb0e0fbef9365899377a4a1eae728864383", "b503913e0b4cce7ed2de965457dfb2edd633e8234161a60e23f2fe2161345d12"]
|
|
ipython = ["c4ab005921641e40a68e405e286e7a1fcc464497e14d81b6914b4fd95e5dee9b", "dd76831f065f17bddd7eaa5c781f5ea32de5ef217592cf019e34043b56895aa1"]
|
|
ipython-genutils = ["72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8", "eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"]
|
|
ipywidgets = ["13ffeca438e0c0f91ae583dc22f50379b9d6b28390ac7be8b757140e9a771516", "e945f6e02854a74994c596d9db83444a1850c01648f1574adf144fbbabe05c97"]
|
|
jedi = ["786b6c3d80e2f06fd77162a07fed81b8baa22dde5d62896a790a331d6ac21a27", "ba859c74fa3c966a22f2aeebe1b74ee27e2a462f56d3f5f7ca4a59af61bfe42e"]
|
|
jinja2 = ["065c4f02ebe7f7cf559e49ee5a95fb800a9e4528727aec6f24402a5374c65013", "14dd6caf1527abb21f08f86c784eac40853ba93edb79552aa1e4b8aef1b61c7b"]
|
|
joblib = ["006108c7576b3eb6c5b27761ddbf188eb6e6347696325ab2027ea1ee9a4b922d", "6fcc57aacb4e89451fd449e9412687c51817c3f48662c3d8f38ba3f8a0a193ff"]
|
|
jsonschema = ["5f9c0a719ca2ce14c5de2fd350a64fd2d13e8539db29836a86adc990bb1a068f", "8d4a2b7b6c2237e0199c8ea1a6d3e05bf118e289ae2b9d7ba444182a2959560d"]
|
|
jupyter = ["3e1f86076bbb7c8c207829390305a2b1fe836d471ed54be66a3b8c41e7f46cc7", "5b290f93b98ffbc21c0c7e749f054b3267782166d72fa5e3ed1ed4eaf34a2b78", "d9dc4b3318f310e34c82951ea5d6683f67bed7def4b259fafbfe4f1beb1d8e5f"]
|
|
jupyter-client = ["6a6d415c62179728f6d9295b37356d8f6833e9e01c2b6e1901dc555571f57b21", "f406f214f9daa92be110d5b83d62f3451ffc73d3522db7350f0554683533ab18"]
|
|
jupyter-console = ["308ce876354924fb6c540b41d5d6d08acfc946984bf0c97777c1ddcb42e0b2f5", "cc80a97a5c389cbd30252ffb5ce7cefd4b66bde98219edd16bf5cb6f84bb3568"]
|
|
jupyter-core = ["2c6e7c1e9f2ac45b5c2ceea5730bc9008d92fe59d0725eac57b04c0edfba24f7", "f4fa22d6cf25f34807c995f22d2923693575c70f02557bcbfbe59bd5ec8d8b84"]
|
|
kiwisolver = ["05b5b061e09f60f56244adc885c4a7867da25ca387376b02c1efc29cc16bcd0f", "26f4fbd6f5e1dabff70a9ba0d2c4bd30761086454aa30dddc5b52764ee4852b7", "3b2378ad387f49cbb328205bda569b9f87288d6bc1bf4cd683c34523a2341efe", "400599c0fe58d21522cae0e8b22318e09d9729451b17ee61ba8e1e7c0346565c", "47b8cb81a7d18dbaf4fed6a61c3cecdb5adec7b4ac292bddb0d016d57e8507d5", "53eaed412477c836e1b9522c19858a8557d6e595077830146182225613b11a75", "58e626e1f7dfbb620d08d457325a4cdac65d1809680009f46bf41eaf74ad0187", "5a52e1b006bfa5be04fe4debbcdd2688432a9af4b207a3f429c74ad625022641", "5c7ca4e449ac9f99b3b9d4693debb1d6d237d1542dd6a56b3305fe8a9620f883", "682e54f0ce8f45981878756d7203fd01e188cc6c8b2c5e2cf03675390b4534d5", "79bfb2f0bd7cbf9ea256612c9523367e5ec51d7cd616ae20ca2c90f575d839a2", "7f4dd50874177d2bb060d74769210f3bce1af87a8c7cf5b37d032ebf94f0aca3", "8944a16020c07b682df861207b7e0efcd2f46c7488619cb55f65882279119389", "8aa7009437640beb2768bfd06da049bad0df85f47ff18426261acecd1cf00897", "939f36f21a8c571686eb491acfffa9c7f1ac345087281b412d63ea39ca14ec4a", "9733b7f64bd9f807832d673355f79703f81f0b3e52bfce420fc00d8cb28c6a6c", "a02f6c3e229d0b7220bd74600e9351e18bc0c361b05f29adae0d10599ae0e326", "a0c0a9f06872330d0dd31b45607197caab3c22777600e88031bfe66799e70bb0", "acc4df99308111585121db217681f1ce0eecb48d3a828a2f9bbf9773f4937e9e", "b64916959e4ae0ac78af7c3e8cef4becee0c0e9694ad477b4c6b3a536de6a544", "d3fcf0819dc3fea58be1fd1ca390851bdb719a549850e708ed858503ff25d995", "d52e3b1868a4e8fd18b5cb15055c76820df514e26aa84cc02f593d99fef6707f", "db1a5d3cc4ae943d674718d6c47d2d82488ddd94b93b9e12d24aabdbfe48caee", "e3a21a720791712ed721c7b95d433e036134de6f18c77dbe96119eaf7aa08004", "e8bf074363ce2babeb4764d94f8e65efd22e6a7c74860a4f05a6947afc020ff2", "f16814a4a96dc04bf1da7d53ee8d5b1d6decfc1a92a63349bb15d37b6a263dd9", "f2b22153870ca5cf2ab9c940d7bc38e8e9089fa0f7e5856ea195e1cf4ff43d5a", "f790f8b3dff3d53453de6a7b7ddd173d2e020fb160baff578d578065b108a05f"]
|
|
markupsafe = ["00bc623926325b26bb9605ae9eae8a215691f33cae5df11ca5424f06f2d1f473", "09027a7803a62ca78792ad89403b1b7a73a01c8cb65909cd876f7fcebd79b161", "09c4b7f37d6c648cb13f9230d847adf22f8171b1ccc4d5682398e77f40309235", "1027c282dad077d0bae18be6794e6b6b8c91d58ed8a8d89a89d59693b9131db5", "24982cc2533820871eba85ba648cd53d8623687ff11cbb805be4ff7b4c971aff", "29872e92839765e546828bb7754a68c418d927cd064fd4708fab9fe9c8bb116b", "43a55c2930bbc139570ac2452adf3d70cdbb3cfe5912c71cdce1c2c6bbd9c5d1", "46c99d2de99945ec5cb54f23c8cd5689f6d7177305ebff350a58ce5f8de1669e", "500d4957e52ddc3351cabf489e79c91c17f6e0899158447047588650b5e69183", "535f6fc4d397c1563d08b88e485c3496cf5784e927af890fb3c3aac7f933ec66", "62fe6c95e3ec8a7fad637b7f3d372c15ec1caa01ab47926cfdf7a75b40e0eac1", "6dd73240d2af64df90aa7c4e7481e23825ea70af4b4922f8ede5b9e35f78a3b1", "717ba8fe3ae9cc0006d7c451f0bb265ee07739daf76355d06366154ee68d221e", "79855e1c5b8da654cf486b830bd42c06e8780cea587384cf6545b7d9ac013a0b", "7c1699dfe0cf8ff607dbdcc1e9b9af1755371f92a68f706051cc8c37d447c905", "88e5fcfb52ee7b911e8bb6d6aa2fd21fbecc674eadd44118a9cc3863f938e735", "8defac2f2ccd6805ebf65f5eeb132adcf2ab57aa11fdf4c0dd5169a004710e7d", "98c7086708b163d425c67c7a91bad6e466bb99d797aa64f965e9d25c12111a5e", "9add70b36c5666a2ed02b43b335fe19002ee5235efd4b8a89bfcf9005bebac0d", "9bf40443012702a1d2070043cb6291650a0841ece432556f784f004937f0f32c", "ade5e387d2ad0d7ebf59146cc00c8044acbd863725f887353a10df825fc8ae21", "b00c1de48212e4cc9603895652c5c410df699856a2853135b3967591e4beebc2", "b1282f8c00509d99fef04d8ba936b156d419be841854fe901d8ae224c59f0be5", "b2051432115498d3562c084a49bba65d97cf251f5a331c64a12ee7e04dacc51b", "ba59edeaa2fc6114428f1637ffff42da1e311e29382d81b339c1817d37ec93c6", "c8716a48d94b06bb3b2524c2b77e055fb313aeb4ea620c8dd03a105574ba704f", "cd5df75523866410809ca100dc9681e301e3c27567cf498077e8551b6d20e42f", "e249096428b3ae81b08327a63a485ad0878de3fb939049038579ac0ef61e17e7"]
|
|
matplotlib = ["1febd22afe1489b13c6749ea059d392c03261b2950d1d45c17e3aed812080c93", "31a30d03f39528c79f3a592857be62a08595dec4ac034978ecd0f814fa0eec2d", "4442ce720907f67a79d45de9ada47be81ce17e6c2f448b3c64765af93f6829c9", "796edbd1182cbffa7e1e7a97f1e141f875a8501ba8dd834269ae3cd45a8c976f", "934e6243df7165aad097572abf5b6003c77c9b6c480c3c4de6f2ef1b5fdd4ec0", "bab9d848dbf1517bc58d1f486772e99919b19efef5dd8596d4b26f9f5ee08b6b", "c1fe1e6cdaa53f11f088b7470c2056c0df7d80ee4858dadf6cbe433fcba4323b", "e5b8aeca9276a3a988caebe9f08366ed519fff98f77c6df5b64d7603d0e42e36", "ec6bd0a6a58df3628ff269978f4a4b924a0d371ad8ce1f8e2b635b99e482877a"]
|
|
mistune = ["59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e", "88a1051873018da288eee8538d476dffe1262495144b33ecb586c4ab266bb8d4"]
|
|
nbconvert = ["427a468ec26e7d68a529b95f578d5cbf018cb4c1f889e897681c2b6d11897695", "48d3c342057a2cf21e8df820d49ff27ab9f25fc72b8f15606bd47967333b2709"]
|
|
nbformat = ["b9a0dbdbd45bb034f4f8893cafd6f652ea08c8c1674ba83f2dc55d3955743b0b", "f7494ef0df60766b7cabe0a3651556345a963b74dbc16bc7c18479041170d402"]
|
|
notebook = ["660976fe4fe45c7aa55e04bf4bccb9f9566749ff637e9020af3422f9921f9a5d", "b0a290f5cc7792d50a21bec62b3c221dd820bf00efa916ce9aeec4b5354bde20"]
|
|
numpy = ["05dbfe72684cc14b92568de1bc1f41e5f62b00f714afc9adee42f6311738091f", "0d82cb7271a577529d07bbb05cb58675f2deb09772175fab96dc8de025d8ac05", "10132aa1fef99adc85a905d82e8497a580f83739837d7cbd234649f2e9b9dc58", "12322df2e21f033a60c80319c25011194cd2a21294cc66fee0908aeae2c27832", "16f19b3aa775dddc9814e02a46b8e6ae6a54ed8cf143962b4e53f0471dbd7b16", "3d0b0989dd2d066db006158de7220802899a1e5c8cf622abe2d0bd158fd01c2c", "438a3f0e7b681642898fd7993d38e2bf140a2d1eafaf3e89bb626db7f50db355", "5fd214f482ab53f2cea57414c5fb3e58895b17df6e6f5bca5be6a0bb6aea23bb", "73615d3edc84dd7c4aeb212fa3748fb83217e00d201875a47327f55363cef2df", "7bd355ad7496f4ce1d235e9814ec81ee3d28308d591c067ce92e49f745ba2c2f", "7d077f2976b8f3de08a0dcf5d72083f4af5411e8fddacd662aae27baa2601196", "a4092682778dc48093e8bda8d26ee8360153e2047826f95a3f5eae09f0ae3abf", "b458de8624c9f6034af492372eb2fee41a8e605f03f4732f43fc099e227858b2", "e70fc8ff03a961f13363c2c95ef8285e0cf6a720f8271836f852cc0fa64e97c8", "ee8e9d7cad5fe6dde50ede0d2e978d81eafeaa6233fb0b8719f60214cf226578", "f4a4f6aba148858a5a5d546a99280f71f5ee6ec8182a7d195af1a914195b21a2"]
|
|
pandas = ["18d91a9199d1dfaa01ad645f7540370ba630bdcef09daaf9edf45b4b1bca0232", "3f26e5da310a0c0b83ea50da1fd397de2640b02b424aa69be7e0784228f656c9", "4182e32f4456d2c64619e97c58571fa5ca0993d1e8c2d9ca44916185e1726e15", "426e590e2eb0e60f765271d668a30cf38b582eaae5ec9b31229c8c3c10c5bc21", "5eb934a8f0dc358f0e0cdf314072286bbac74e4c124b64371395e94644d5d919", "717928808043d3ea55b9bcde636d4a52d2236c246f6df464163a66ff59980ad8", "8145f97c5ed71827a6ec98ceaef35afed1377e2d19c4078f324d209ff253ecb5", "8744c84c914dcc59cbbb2943b32b7664df1039d99e834e1034a3372acb89ea4d", "c1ac1d9590d0c9314ebf01591bd40d4c03d710bfc84a3889e5263c97d7891dee", "cb2e197b7b0687becb026b84d3c242482f20cbb29a9981e43604eb67576da9f6", "d4001b71ad2c9b84ff18b182cea22b7b6cbf624216da3ea06fb7af28d1f93165", "d8930772adccb2882989ab1493fa74bd87d47c8ac7417f5dd3dd834ba8c24dc9", "dfbb0173ee2399bc4ed3caf2d236e5c0092f948aafd0a15fbe4a0e77ee61a958", "eebfbba048f4fa8ac711b22c78516e16ff8117d05a580e7eeef6b0c2be554c18", "f1b21bc5cf3dbea53d33615d1ead892dfdae9d7052fa8898083bec88be20dcd2"]
|
|
pandocfilters = ["b3dd70e169bb5449e6bc6ff96aea89c5eea8c5f6ab5e207fc2f521a2cf4a0da9"]
|
|
parso = ["63854233e1fadb5da97f2744b6b24346d2750b85965e7e399bec1620232797dc", "666b0ee4a7a1220f65d367617f2cd3ffddff3e205f3f16a0284df30e774c2a9c"]
|
|
pexpect = ["2094eefdfcf37a1fdbfb9aa090862c1a4878e5c7e0e7e7088bdb511c558e5cd1", "9e2c1fd0e6ee3a49b28f95d4b33bc389c89b20af6a1255906e90ff1262ce62eb"]
|
|
pickleshare = ["87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca", "9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"]
|
|
prometheus-client = ["71cd24a2b3eb335cb800c7159f423df1bd4dcd5171b234be15e3f31ec9f622da"]
|
|
prompt-toolkit = ["11adf3389a996a6d45cc277580d0d53e8a5afd281d0c9ec71b28e6f121463780", "2519ad1d8038fd5fc8e770362237ad0364d16a7650fb5724af6997ed5515e3c1", "977c6583ae813a37dc1c2e1b715892461fcbdaa57f6fc62f33a528c4886c8f55"]
|
|
ptyprocess = ["923f299cc5ad920c68f2bc0bc98b75b9f838b93b599941a6b63ddbc2476394c0", "d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f"]
|
|
pygments = ["71e430bc85c88a430f000ac1d9b331d2407f681d6f6aec95e8bcfbc3df5b0127", "881c4c157e45f30af185c1ffe8d549d48ac9127433f2c380c24b84572ad66297"]
|
|
pyparsing = ["6f98a7b9397e206d78cc01df10131398f1c8b8510a2f4d97d9abd82e1aacdd80", "d9338df12903bbf5d65a0e4e87c2161968b10d2e489652bb47001d82a9b028b4"]
|
|
pyrsistent = ["34b47fa169d6006b32e99d4b3c4031f155e6e68ebcc107d6454852e8e0ee6533"]
|
|
python-dateutil = ["7e6584c74aeed623791615e26efd690f29817a27c73085b78e4bad02493df2fb", "c89805f6f4d64db21ed966fda138f8a5ed7a4fdbc1a8ee329ce1b74e3c74da9e"]
|
|
pytz = ["26c0b32e437e54a18161324a2fca3c4b9846b74a8dccddd843113109e1116b32", "c894d57500a4cd2d5c71114aaab77dbab5eabd9022308ce5ac9bb93a60a6f0c7"]
|
|
pywin32 = ["0443e9bb196e72480f50cbddc2cf98fbb858a77d02e281ba79489ea3287b36e9", "09bbe7cdb29eb40ab2e83f7a232eeeedde864be7a0622b70a90f456aad07a234", "0d8e0f47808798d320c983574c36c49db642678902933a210edd40157d206fd0", "0db7c9f4b93528afd080d35912a60be2f86a1d6c49c0a9cf9cedd106eed81ea3", "749e590875051661ecefbd9dfa957a485016de0f25e43f5e70f888ef1e29587b", "779d3e9d4b934f2445d2920c3941416d99af72eb7f7fd57a63576cc8aa540ad6", "7c89d2c11a31c7aaa16dc4d25054d7e0e99d6f6b24193cf62c83850484658c87", "81f7732b662c46274d7d8c411c905d53e71999cba95457a0686467c3ebc745ca", "9db1fb8830bfa99c5bfd335d4482c14db5c6f5028db3b006787ef4200206242b", "bd8d04835db28646d9e07fd0ab7c7b18bd90e89dfdc559e60389179495ef30da", "fc6822a68afd79e97b015985dd455767c72009b81bcd18957068626c43f11e75", "fe6cfc2045931866417740b575231c7e12d69d481643be1493487ad53b089959"]
|
|
pywinpty = ["0e01321e53a230233358a6d608a1a8bc86c3882cf82769ba3c62ca387dc9cc51", "333e0bc5fca8ad9e9a1516ebedb2a65da38dc1f399f8b2ea57d6cccec1ff2cc8", "3ca3123aa6340ab31bbf9bd012b92e72f9ec905e4c9ee152cc997403e1778cd3", "44a6dddcf2abf402e22f87e2c9a341f7d0b296afbec3d28184c8de4d7f514ee4", "53d94d574c3d4da2df5b1c3ae728b8d90e4d33502b0388576bbd4ddeb4de0f77", "c3955f162c53dde968f3fc11361658f1d83b683bfe601d4b6f94bb01ea4300bc", "cec9894ecb34de3d7b1ca121dd98433035b9f8949b5095e84b103b349231509c", "dcd45912e2fe2e6f72cee997a4da6ed1ad2056165a277ce5ec7f7ac98dcdf667", "f2bcdd9a2ffd8b223752a971b3d377fb7bfed85f140ec9710f1218d760f2ccb7"]
|
|
pyzmq = ["01636e95a88d60118479041c6aaaaf5419c6485b7b1d37c9c4dd424b7b9f1121", "021dba0d1436516092c624359e5da51472b11ba8edffa334218912f7e8b65467", "0463bd941b6aead494d4035f7eebd70035293dd6caf8425993e85ad41de13fa3", "05fd51edd81eed798fccafdd49c936b6c166ffae7b32482e4d6d6a2e196af4e6", "1fadc8fbdf3d22753c36d4172169d184ee6654f8d6539e7af25029643363c490", "22efa0596cf245a78a99060fe5682c4cd00c58bb7614271129215c889062db80", "260c70b7c018905ec3659d0f04db735ac830fe27236e43b9dc0532cf7c9873ef", "2762c45e289732d4450406cedca35a9d4d71e449131ba2f491e0bf473e3d2ff2", "2fc6cada8dc53521c1189596f1898d45c5f68603194d3a6453d6db4b27f4e12e", "343b9710a61f2b167673bea1974e70b5dccfe64b5ed10626798f08c1f7227e72", "41bf96d5f554598a0632c3ec28e3026f1d6591a50f580df38eff0b8067efb9e7", "856b2cdf7a1e2cbb84928e1e8db0ea4018709b39804103d3a409e5584f553f57", "85b869abc894672de9aecdf032158ea8ad01e2f0c3b09ef60e3687fb79418096", "93f44739db69234c013a16990e43db1aa0af3cf5a4b8b377d028ff24515fbeb3", "98fa3e75ccb22c0dc99654e3dd9ff693b956861459e8c8e8734dd6247b89eb29", "9a22c94d2e93af8bebd4fcf5fa38830f5e3b1ff0d4424e2912b07651eb1bafb4", "a7d3f4b4bbb5d7866ae727763268b5c15797cbd7b63ea17f3b0ec1067da8994b", "b645a49376547b3816433a7e2d2a99135c8e651e50497e7ecac3bd126e4bea16", "cf0765822e78cf9e45451647a346d443f66792aba906bc340f4e0ac7870c169c", "dc398e1e047efb18bfab7a8989346c6921a847feae2cad69fedf6ca12fb99e2c", "dd5995ae2e80044e33b5077fb4bc2b0c1788ac6feaf15a6b87a00c14b4bdd682", "e03fe5e07e70f245dc9013a9d48ae8cc4b10c33a1968039c5a3b64b5d01d083d", "ea09a306144dff2795e48439883349819bef2c53c0ee62a3c2fae429451843bb", "f4e37f33da282c3c319849877e34f97f0a3acec09622ec61b7333205bdd13b52", "fa4bad0d1d173dee3e8ef3c3eb6b2bb6c723fc7a661eeecc1ecb2fa99860dd45"]
|
|
qtconsole = ["40d5d8e00d070ea266dbf6f0da74c4b9597b8b8d67cd8233c3ffd8debf923703", "b91e7412587e6cfe1644696538f73baf5611e837be5406633218443b2827c6d9"]
|
|
scikit-learn = ["1ac81293d261747c25ea5a0ee8cd2bb1f3b5ba9ec05421a7f9f0feb4eb7c4116", "289361cf003d90b007f5066b27fcddc2d71324c82f1c88e316fedacb0dfdd516", "3a14d0abd4281fc3fd2149c486c3ec7cedad848b8d5f7b6f61522029d65a29f8", "5083a5e50d9d54548e4ada829598ae63a05651dd2bb319f821ffd9e8388384a6", "777cdd5c077b7ca9cb381396c81990cf41d2fa8350760d3cad3b4c460a7db644", "8bf2ff63da820d09b96b18e88f9625228457bff8df4618f6b087e12442ef9e15", "8d319b71c449627d178f21c57614e21747e54bb3fc9602b6f42906c3931aa320", "928050b65781fea9542dfe9bfe02d8c4f5530baa8472ec60782ea77347d2c836", "92c903613ff50e22aa95d589f9fff5deb6f34e79f7f21f609680087f137bb524", "ae322235def5ce8fae645b439e332e6f25d34bb90d6a6c8e261f17eb476457b7", "c1cd6b29eb1fd1cc672ac5e4a8be5f6ea936d094a3dc659ada0746d6fac750b1", "c41a6e2685d06bcdb0d26533af2540f54884d40db7e48baed6a5bcbf1a7cc642", "d07fcb0c0acbc043faa0e7cf4d2037f71193de3fb04fb8ed5c259b089af1cf5c", "d146d5443cda0a41f74276e42faf8c7f283fef49e8a853b832885239ef544e05", "eb2b7bed0a26ba5ce3700e15938b28a4f4513578d3e54a2156c29df19ac5fd01", "eb9b8ebf59eddd8b96366428238ab27d05a19e89c5516ce294abc35cea75d003"]
|
|
scipy = ["0baa64bf42592032f6f6445a07144e355ca876b177f47ad8d0612901c9375bef", "243b04730d7223d2b844bda9500310eecc9eda0cba9ceaf0cde1839f8287dfa8", "2643cfb46d97b7797d1dbdb6f3c23fe3402904e3c90e6facfe6a9b98d808c1b5", "396eb4cdad421f846a1498299474f0a3752921229388f91f60dc3eda55a00488", "3ae3692616975d3c10aca6d574d6b4ff95568768d4525f76222fb60f142075b9", "435d19f80b4dcf67dc090cc04fde2c5c8a70b3372e64f6a9c58c5b806abfa5a8", "46a5e55850cfe02332998b3aef481d33f1efee1960fe6cfee0202c7dd6fc21ab", "75b513c462e58eeca82b22fc00f0d1875a37b12913eee9d979233349fce5c8b2", "7ccfa44a08226825126c4ef0027aa46a38c928a10f0a8a8483c80dd9f9a0ad44", "89dd6a6d329e3f693d1204d5562dd63af0fd7a17854ced17f9cbc37d5b853c8d", "a81da2fe32f4eab8b60d56ad43e44d93d392da228a77e229e59b51508a00299c", "a9d606d11eb2eec7ef893eb825017fbb6eef1e1d0b98a5b7fc11446ebeb2b9b1", "ac37eb652248e2d7cbbfd89619dce5ecfd27d657e714ed049d82f19b162e8d45", "cbc0611699e420774e945f6a4e2830f7ca2b3ee3483fca1aa659100049487dd5", "d02d813ec9958ed63b390ded463163685af6025cb2e9a226ec2c477df90c6957", "dd3b52e00f93fd1c86f2d78243dfb0d02743c94dd1d34ffea10055438e63b99d"]
|
|
send2trash = ["60001cc07d707fe247c94f74ca6ac0d3255aabcb930529690897ca2a39db28b2", "f1691922577b6fa12821234aeb57599d887c4900b9ca537948d2dac34aea888b"]
|
|
six = ["3350809f0555b11f552448330d0b52d5f24c91a322ea4a15ef22629740f3761c", "d16a0141ec1a18405cd4ce8b4613101da75da0e9a7aec5bdd4fa804d0e0eba73"]
|
|
terminado = ["d9d012de63acb8223ac969c17c3043337c2fcfd28f3aea1ee429b345d01ef460", "de08e141f83c3a0798b050ecb097ab6259c3f0331b2f7b7750c9075ced2c20c2"]
|
|
testpath = ["46c89ebb683f473ffe2aab0ed9f12581d4d078308a3cb3765d79c6b2317b0109", "b694b3d9288dbd81685c5d2e7140b81365d46c29f5db4bc659de5aa6b98780f8"]
|
|
tornado = ["349884248c36801afa19e342a77cc4458caca694b0eda633f5878e458a44cb2c", "398e0d35e086ba38a0427c3b37f4337327231942e731edaa6e9fd1865bbd6f60", "4e73ef678b1a859f0cb29e1d895526a20ea64b5ffd510a2307b5998c7df24281", "559bce3d31484b665259f50cd94c5c28b961b09315ccd838f284687245f416e5", "abbe53a39734ef4aba061fca54e30c6b4639d3e1f59653f0da37a0003de148c7", "c845db36ba616912074c5b1ee897f8e0124df269468f25e4fe21fe72f6edd7a9", "c9399267c926a4e7c418baa5cbe91c7d1cf362d505a1ef898fde44a07c9dd8a5"]
|
|
traitlets = ["9c4bd2d267b7153df9152698efb1050a5d84982d3384a37b2c1f7723ba3e7835", "c6cb5e6f57c5a9bdaa40fa71ce7b4af30298fbab9ece9815b5d995ab6217c7d9"]
|
|
wcwidth = ["3df37372226d6e63e1b1e1eda15c594bca98a22d33a23832a90998faa96bc65e", "f4ebe71925af7b40a864553f761ed559b43544f8f71746c2d756c7fe788ade7c"]
|
|
webencodings = ["a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", "b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"]
|
|
widgetsnbextension = ["079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7", "bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"]
|