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setup configuration files
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aamini committed Dec 31, 2019
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133 changes: 131 additions & 2 deletions .gitignore
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.ipynb_checkpoints


lab1/*.pyc
lab2/*.pyc
*.pyc
*.h5
lab2/logs/*


# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/
17 changes: 17 additions & 0 deletions LICENSE.txt
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MIT License
Copyright (c) 2018 YOUR NAME
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
2 changes: 1 addition & 1 deletion mitdeeplearning/lab1.py
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def func():
print("hi")
print("test package")
3 changes: 3 additions & 0 deletions setup.cfg
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# Inside of setup.cfg
[metadata]
description-file = README.md
36 changes: 36 additions & 0 deletions setup.py
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from pkg_resources import DistributionNotFound, get_distribution
from distutils.core import setup


def get_dist(pkgname):
try:
return get_distribution(pkgname)
except DistributionNotFound:
return None

install_deps = [
'numpy',
'regex',
]
if get_dist('tensorflow>=2.0.0') is None and get_dist('tensorflow_gpu>=2.0.0') is None:
install_deps.append('tensorflow>=2.0.0a')

setup(
name = 'mitdeeplearning', # How you named your package folder (MyLib)
packages = ['mitdeeplearning'], # Chose the same as "name"
version = '0.1', # Start with a small number and increase it with every change you make
license='MIT', # Chose a license from here: https://help.github.com/articles/licensing-a-repository
description = 'Official software labs for MIT Introduction to Deep Learning (http://introtodeeplearning.com)', # Give a short description about your library
author = 'Alexander Amini', # Type in your name
author_email = '[email protected]', # Type in your E-Mail
url = 'http://introtodeeplearning.com', # Provide either the link to your github or to your website
download_url = 'https://github.com/aamini/introtodeeplearning_labs/archive/v0.1.tar.gz', # I explain this later on
keywords = ['deep learning', 'neural networks', 'tensorflow', 'introduction'], # Keywords that define your package best
install_requires=install_deps,
classifiers=[
'Development Status :: 3 - Alpha', # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
'License :: OSI Approved :: MIT License', # Again, pick a license
'Programming Language :: Python :: 3', #Specify which pyhton versions that you want to support',
'Programming Language :: Python :: 3.6',
],
)

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