mirror of
https://github.com/Farama-Foundation/Gymnasium.git
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c364506710
* Ditch most of the seeding.py and replace np_random with the numpy default_rng. Let's see if tests pass * Updated a bunch of RNG calls from the RandomState API to Generator API * black; didn't expect that, did ya? * Undo a typo * blaaack * More typo fixes * Fixed setting/getting state in multidiscrete spaces * Fix typo, fix a test to work with the new sampling * Correctly (?) pass the randomly generated seed if np_random is called with None as seed * Convert the Discrete sample to a python int (as opposed to np.int64) * Remove some redundant imports * First version of the compatibility layer for old-style RNG. Mainly to trigger tests. * Removed redundant f-strings * Style fixes, removing unused imports * Try to make tests pass by removing atari from the dockerfile * Try to make tests pass by removing atari from the setup * Try to make tests pass by removing atari from the setup * Try to make tests pass by removing atari from the setup * First attempt at deprecating `env.seed` and supporting `env.reset(seed=seed)` instead. Tests should hopefully pass but throw up a million warnings. * black; didn't expect that, didya? * Rename the reset parameter in VecEnvs back to `seed` * Updated tests to use the new seeding method * Removed a bunch of old `seed` calls. Fixed a bug in AsyncVectorEnv * Stop Discrete envs from doing part of the setup (and using the randomness) in init (as opposed to reset) * Add explicit seed to wrappers reset * Remove an accidental return * Re-add some legacy functions with a warning. * Use deprecation instead of regular warnings for the newly deprecated methods/functions
21 lines
703 B
Docker
21 lines
703 B
Docker
# A Dockerfile that sets up a full Gym install with test dependencies
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ARG PYTHON_VERSION
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FROM python:$PYTHON_VERSION
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RUN apt-get -y update && apt-get install -y unzip libglu1-mesa-dev libgl1-mesa-dev libosmesa6-dev xvfb patchelf ffmpeg cmake swig
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# Download mujoco
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RUN mkdir /root/.mujoco && \
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cd /root/.mujoco && \
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curl -O https://www.roboti.us/download/mjpro150_linux.zip && \
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unzip mjpro150_linux.zip && \
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echo DUMMY_KEY > /root/.mujoco/mjkey.txt
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ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/root/.mujoco/mjpro150/bin
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COPY . /usr/local/gym/
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WORKDIR /usr/local/gym/
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RUN pip install .[nomujoco] && pip install -r test_requirements.txt
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ENTRYPOINT ["/usr/local/gym/bin/docker_entrypoint"]
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