mirror of
https://github.com/jantic/DeOldify.git
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Updating requirements (very simple now!)
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@@ -494,3 +494,4 @@ ColorizeTrainingNew2.ipynb
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ColorizeTrainingNew3.ipynb
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ColorizeTrainingNew4.ipynb
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.ipynb_checkpoints/ColorizeTraining1-checkpoint.ipynb
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.ipynb_checkpoints/ColorizeVisualization2-checkpoint.ipynb
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+2
-102
@@ -1,105 +1,5 @@
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name: deoldify
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channels:
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- fastai
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- pytorch
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- defaults
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- peterjc123
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dependencies:
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- scipy
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- cuda90
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- cudnn
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- numpy
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- pillow
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- jpeg
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- spacy
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- zlib
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- freetype
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- libtiff
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- bleach
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- certifi
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- cffi
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- cycler
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- decorator
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- entrypoints
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- expat
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- html5lib
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- icu
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- ipykernel
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- ipython
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- ipython_genutils
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- ipywidgets
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- jedi
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- jinja2
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- jsonschema
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- libiconv
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- libpng
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- libsodium
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- lxml==4.2.1
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- libxml2
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- markupsafe
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- matplotlib
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- mistune
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- mkl
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- nbconvert
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- nbformat
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- notebook
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- numpy
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- olefile
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- openssl
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- pandas
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- pandocfilters
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- path.py
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- patsy
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- pcre
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- pexpect
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- pickleshare
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- pillow
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- pip
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- prompt_toolkit
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- pycparser
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- pygments
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- pyparsing
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- pyqt
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- python>=3.6.0
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- python-dateutil
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- pytz
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- pyzmq
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- qt
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- qtconsole
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- scipy
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- seaborn
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- setuptools
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- simplegeneric
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- sip
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- six
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- sqlite
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- statsmodels
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- testpath
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- tk
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- tornado<5
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- tqdm
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- traitlets
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- wcwidth
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- wheel
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- widgetsnbextension
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- xz
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- zeromq
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- pytorch==0.4.1
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- bcolz
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- prompt_toolkit
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- pytest
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- fastai>=1.0.42
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- pip:
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- tensorflow-gpu
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- torchvision>=0.2.0
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- opencv-python
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- isoweek
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- pandas_summary==0.0.5
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- torchtext
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- graphviz
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- sklearn_pandas
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- feather-format
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- plotnine
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- kaggle-cli
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- ipywidgets
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- jupyterlab>=0.34.3
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- tensorboardX
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- tensorboardX>=1.4
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+1
-55
@@ -1,56 +1,2 @@
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bcolz>=1.1.2
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bleach>=2.0.0
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certifi>=2016.2.28
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cycler>=0.10.0
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decorator>=4.1.2
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entrypoints>=0.2.3
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graphviz>=0.8.2
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html5lib>=0.999999999
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ipykernel>=4.6.1
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ipython>=6.2.0
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ipython-genutils>=0.2.0
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ipywidgets>=7.0.1
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isoweek>=1.3.3
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jedi>=0.10.2
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Jinja2>=2.9.6
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jsonschema>=2.6.0
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jupyterlab>=0.34.3
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MarkupSafe>=1.0
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matplotlib>=2.0.2
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mistune>=0.7.4
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nbconvert>=5.3.1
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nbformat>=4.4.0
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notebook>=5.1.0
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numpy>=1.13.1
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olefile>=0.44
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opencv-python>=3.3.0.10
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pandas>=0.20.3
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pexpect>=4.2.1
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pickleshare>=0.7.4
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Pillow==4.1.1
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prompt-toolkit==2.0.0
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Pygments>=2.2.0
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pyparsing>=2.2.0
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pytest>=3.5.0
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python-dateutil>=2.6.1
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pytz>=2017.2
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PyYAML>=3.12
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pyzmq>=16.0.2
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qtconsole>=4.3.1
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scipy>=0.19.1
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seaborn>=0.8.1
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simplegeneric>=0.8.1
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six>=1.11.0
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sklearn_pandas>=1.6.0
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fastai>=1.0.42
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tensorboardX>=1.4
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terminado>=0.6
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testpath>=0.3.1
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torchtext==0.2.3
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torchvision>=0.2.0
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tornado>=4.5.2,<5
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tqdm>=4.15.0
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traitlets>=4.3.2
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wcwidth>=0.1.7
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webencodings>=0.5.1
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widgetsnbextension>=3.0.3
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spacy>=2.0.11
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@@ -1,33 +0,0 @@
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# coding: utf-8
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""" Setup script for installing fastai """
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#from distutils.core import setup
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from setuptools import setup
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setup(
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name = "fastai",
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packages = ['fastai', 'fastai/models', 'fastai/models/cifar10'],
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version = '0.7.0',
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description = "The fastai deep learning and machine learning library.",
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author = "Jeremy Howard and contributors",
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author_email = "info@fast.ai",
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license = "Apache License 2.0",
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url = "https://github.com/fastai/fastai",
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download_url = 'https://github.com/fastai/fastai/archive/0.7.0.tar.gz',
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install_requires =
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['bcolz', 'bleach', 'certifi', 'cycler', 'decorator', 'entrypoints', 'feather-format', 'graphviz', 'html5lib',
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'ipykernel', 'ipython', 'ipython-genutils', 'ipywidgets', 'isoweek', 'jedi', 'Jinja2', 'jsonschema', 'jupyter',
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'MarkupSafe', 'matplotlib', 'numpy', 'opencv-python', 'pandas',
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'pandas_summary', 'pickleshare', 'Pillow', 'plotnine',
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'Pygments', 'pyparsing', 'python-dateutil', 'pytz', 'PyYAML', 'pyzmq', 'scipy',
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'seaborn', 'simplegeneric', 'sklearn_pandas', 'testpath', 'tensorboardX', 'torchtext', 'torchvision', 'tornado', 'tqdm',
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'traitlets', 'wcwidth', 'webencodings', 'widgetsnbextension'],
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keywords = ['deeplearning', 'pytorch', 'machinelearning'],
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classifiers = ['Development Status :: 3 - Alpha',
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'Programming Language :: Python',
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'Programming Language :: Python :: 3.6',
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'Topic :: Scientific/Engineering :: Artificial Intelligence']
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)
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