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19
.travis.yml
19
.travis.yml
@@ -1,9 +1,12 @@
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language: python
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python:
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- "2.7"
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- "3.4"
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dist: trusty
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sudo: required
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cache:
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apt: true
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pip: true
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language: python
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addons:
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apt:
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sources:
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@@ -24,14 +27,14 @@ addons:
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- libblas-dev
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- liblapack-dev
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- gfortran
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python:
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- "2.7"
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- "3.4"
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before_install:
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# Start an X server so rendering works.
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- Xvfb :12 -screen 0 800x600x24 +extension RANDR &
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# In a pull request, there are no secrets, and hence no MuJoCo:
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# https://docs.travis-ci.com/user/pull-requests#Security-Restrictions-when-testing-Pull-Requests.
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# In a pull request, there are no secrets, and hence no MuJoCo:
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# https://docs.travis-ci.com/user/pull-requests#Security-Restrictions-when-testing-Pull-Requests.
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- '[ -z ${MUJOCO_KEY_BUNDLE+x} ] || ( mkdir -p ~/.mujoco && curl https://openai-public.s3-us-west-2.amazonaws.com/mujoco/$MUJOCO_KEY_BUNDLE.tar.gz | tar xz -C ~/.mujoco )'
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# Without this line, Travis has fork()s fail with an out of memory
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# error. (These fork()s are for spawning the subprocess for video
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# recording.) We should debug the memory usage at some stage, but
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@@ -39,8 +42,8 @@ before_install:
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- sudo sysctl -w vm.overcommit_memory=1
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env:
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- DISPLAY=:12
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install: pip install tox-travis
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script: tox
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install: travis_wait pip install -r requirements_dev.txt
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script: nose2
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notifications:
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slack:
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@@ -2,3 +2,4 @@ numpy>=1.10.4
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requests>=2.0
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six
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pyglet>=1.2.0
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scipy==0.17.1
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36
setup.py
36
setup.py
@@ -5,6 +5,23 @@ import sys, os.path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'gym'))
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from version import VERSION
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# Environment-specific dependencies.
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extras = {
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'atari': ['atari_py>=0.0.17', 'Pillow', 'PyOpenGL'],
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'board_game' : ['pachi-py>=0.0.19'],
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'box2d': ['box2d-py'],
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'classic_control': ['PyOpenGL'],
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'doom': ['doom_py>=0.0.11'],
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'mujoco': ['mujoco_py>=0.4.3', 'imageio'],
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'parameter_tuning': ['keras', 'theano'],
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}
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# Meta dependency groups.
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all_deps = []
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for group_name in extras:
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all_deps += extras[group_name]
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extras['all'] = all_deps
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setup(name='gym',
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version=VERSION,
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description='The OpenAI Gym: A toolkit for developing and comparing your reinforcement learning agents.',
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@@ -18,24 +35,7 @@ setup(name='gym',
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install_requires=[
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'numpy>=1.10.4', 'requests>=2.0', 'six', 'pyglet>=1.2.0',
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],
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extras_require={
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'all': ['atari_py>=0.0.17', 'Pillow', 'PyOpenGL',
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'pachi-py>=0.0.19',
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'box2d-py',
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'doom_py>=0.0.11',
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'mujoco_py>=0.5.2', 'imageio',
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'keras', 'theano'],
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# Environment-specific dependencies. Keep these in sync with
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# 'all'!
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'atari': ['atari_py>=0.0.17', 'Pillow', 'PyOpenGL'],
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'board_game' : ['pachi-py>=0.0.19'],
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'box2d': ['box2d-py'],
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'classic_control': ['PyOpenGL'],
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'doom': ['doom_py>=0.0.11'],
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'mujoco': ['mujoco_py>=0.4.3', 'imageio'],
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'parameter_tuning': ['keras', 'theano'],
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},
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extras_require=extras,
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package_data={'gym': ['envs/mujoco/assets/*.xml', 'envs/classic_control/assets/*.png', 'envs/doom/assets/*.cfg']},
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tests_require=['nose2', 'mock'],
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)
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