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pfrl/tests/wrappers_tests/test_monitor.py fails in pfn-public-ci/pfrl.cpu #158

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muupan opened this issue Sep 7, 2021 · 0 comments · Fixed by #159
Closed

pfrl/tests/wrappers_tests/test_monitor.py fails in pfn-public-ci/pfrl.cpu #158

muupan opened this issue Sep 7, 2021 · 0 comments · Fixed by #159
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@muupan

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@muupan
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muupan commented Sep 7, 2021 •
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I haven't checked it yet but it seems like the issue is related to gym, perhaps the new version of it.

https://ci.preferred.jp/pfrl.cpu/78451/#L2308

00:06:15.994491 STDOUT 2254] | [FAILED] /pfrl/tests/wrappers_tests/test_monitor.py (4 failed in 2.70 seconds * 2 trials) |  
-- | -- | --
00:06:15.994594 STDOUT 2254] | ============================= test session starts ============================== |  
00:06:15.994597 STDOUT 2254] | platform linux -- Python 3.7.7, pytest-4.1.1, py-1.10.0, pluggy-1.0.0 |  
00:06:15.994602 STDOUT 2254] | rootdir: /pfrl, inifile: pytest.ini |  
00:06:15.994747 STDOUT 2254] | plugins: xdist-1.26.1, forked-1.3.0 |  
00:06:15.994753 STDOUT 2254] | collected 4 items |  
00:06:15.994765 STDOUT 2254] |   |  
00:06:15.994832 STDOUT 2254] | pfrl/tests/wrappers_tests/test_monitor.py FFFF                           [100%] |  
00:06:15.994835 STDOUT 2254] |   |  
00:06:15.994839 STDOUT 2254] | =================================== FAILURES =================================== |  
00:06:15.994866 STDOUT 2254] | _______________________________ test_monitor[1] ________________________________ |  
00:06:15.994868 STDOUT 2254] |   |  
00:06:15.994871 STDOUT 2254] | """ |  
00:06:15.994901 STDOUT 2254] | import os |  
00:06:15.994904 STDOUT 2254] | import sys |  
00:06:15.994910 STDOUT 2254] |   |  
00:06:15.994941 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:15.994943 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:15.994948 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:15.994993 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:15.994996 STDOUT 2254] |   |  
00:06:15.995001 STDOUT 2254] | from gym import error |  
00:06:15.995070 STDOUT 2254] |   |  
00:06:15.995073 STDOUT 2254] | try: |  
00:06:15.995108 STDOUT 2254] | >       import pyglet |  
00:06:15.995112 STDOUT 2254] | E       ModuleNotFoundError: No module named 'pyglet' |  
00:06:15.995120 STDOUT 2254] |   |  
00:06:15.995167 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:15: ModuleNotFoundError |  
00:06:15.995170 STDOUT 2254] |   |  
00:06:15.995173 STDOUT 2254] | During handling of the above exception, another exception occurred: |  
00:06:15.995194 STDOUT 2254] |   |  
00:06:15.995195 STDOUT 2254] | n_episodes = 1 |  
00:06:15.995199 STDOUT 2254] |   |  
00:06:15.995211 STDOUT 2254] | @pytest.mark.parametrize("n_episodes", [1, 2, 3, 4]) |  
00:06:15.995212 STDOUT 2254] | def test_monitor(n_episodes): |  
00:06:15.995215 STDOUT 2254] | steps = 15 |  
00:06:15.995243 STDOUT 2254] |   |  
00:06:15.995246 STDOUT 2254] | env = gym.make("CartPole-v1") |  
00:06:15.995251 STDOUT 2254] | # unwrap default TimeLimit and wrap with new one to simulate done=True |  
00:06:15.995303 STDOUT 2254] | # at step 5 |  
00:06:15.995307 STDOUT 2254] | assert isinstance(env, TimeLimit) |  
00:06:15.995313 STDOUT 2254] | env = env.env  # unwrap |  
00:06:15.995377 STDOUT 2254] | env = TimeLimit(env, max_episode_steps=5)  # wrap |  
00:06:15.995381 STDOUT 2254] |   |  
00:06:15.995386 STDOUT 2254] | tmpdir = tempfile.mkdtemp() |  
00:06:15.995425 STDOUT 2254] | try: |  
00:06:15.995428 STDOUT 2254] | env = pfrl.wrappers.Monitor( |  
00:06:15.995433 STDOUT 2254] | env, directory=tmpdir, video_callable=lambda episode_id: True |  
00:06:15.995512 STDOUT 2254] | ) |  
00:06:15.995514 STDOUT 2254] | episode_idx = 0 |  
00:06:16.330165 STDOUT 2254] | episode_len = 0 |  
00:06:16.330255 STDOUT 2254] | t = 0 |  
00:06:16.330259 STDOUT 2254] | >           _ = env.reset() |  
00:06:16.330265 STDOUT 2254] |   |  
00:06:16.330351 STDOUT 2254] | pfrl/tests/wrappers_tests/test_monitor.py:31: |  
00:06:16.330354 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:16.330358 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:54: in reset |  
00:06:16.330390 STDOUT 2254] | self._after_reset(observation) |  
00:06:16.330393 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:239: in _after_reset |  
00:06:16.330400 STDOUT 2254] | self.reset_video_recorder() |  
00:06:16.330507 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:265: in reset_video_recorder |  
00:06:16.330511 STDOUT 2254] | self.video_recorder.capture_frame() |  
00:06:16.330517 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/video_recorder.py:125: in capture_frame |  
00:06:16.330570 STDOUT 2254] | frame = self.env.render(mode=render_mode) |  
00:06:16.330573 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/core.py:254: in render |  
00:06:16.330580 STDOUT 2254] | return self.env.render(mode, **kwargs) |  
00:06:16.330611 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/cartpole.py:179: in render |  
00:06:16.330616 STDOUT 2254] | from gym.envs.classic_control import rendering |  
00:06:16.330622 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:16.330668 STDOUT 2254] |   |  
00:06:16.330671 STDOUT 2254] | """ |  
00:06:16.330676 STDOUT 2254] | import os |  
00:06:16.330707 STDOUT 2254] | import sys |  
00:06:16.330710 STDOUT 2254] |   |  
00:06:16.330715 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:16.330784 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:16.330787 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:16.330793 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:16.330824 STDOUT 2254] |   |  
00:06:16.330826 STDOUT 2254] | from gym import error |  
00:06:16.330830 STDOUT 2254] |   |  
00:06:16.330852 STDOUT 2254] | try: |  
00:06:16.330854 STDOUT 2254] | import pyglet |  
00:06:16.330859 STDOUT 2254] | except ImportError as e: |  
00:06:16.330876 STDOUT 2254] | raise ImportError( |  
00:06:16.330879 STDOUT 2254] | """ |  
00:06:16.330885 STDOUT 2254] | Cannot import pyglet. |  
00:06:16.330925 STDOUT 2254] | HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:16.330927 STDOUT 2254] | But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:16.330932 STDOUT 2254] | 'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:16.330977 STDOUT 2254] | >       """ |  
00:06:16.667513 STDOUT 2254] | ) |  
00:06:16.667634 STDOUT 2254] | E       ImportError: |  
00:06:16.667637 STDOUT 2254] | E           Cannot import pyglet. |  
00:06:16.667643 STDOUT 2254] | E           HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:16.667691 STDOUT 2254] | E           But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:16.667696 STDOUT 2254] | E           'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:16.667703 STDOUT 2254] |   |  
00:06:16.667760 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:23: ImportError |  
00:06:16.667762 STDOUT 2254] | _______________________________ test_monitor[2] ________________________________ |  
00:06:16.667766 STDOUT 2254] |   |  
00:06:16.667785 STDOUT 2254] | """ |  
00:06:16.667787 STDOUT 2254] | import os |  
00:06:16.667790 STDOUT 2254] | import sys |  
00:06:16.667815 STDOUT 2254] |   |  
00:06:16.667817 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:16.667821 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:16.667843 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:16.667846 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:16.667849 STDOUT 2254] |   |  
00:06:16.667876 STDOUT 2254] | from gym import error |  
00:06:16.667877 STDOUT 2254] |   |  
00:06:16.667881 STDOUT 2254] | try: |  
00:06:16.667921 STDOUT 2254] | >       import pyglet |  
00:06:16.667925 STDOUT 2254] | E       ModuleNotFoundError: No module named 'pyglet' |  
00:06:16.667932 STDOUT 2254] |   |  
00:06:16.667974 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:15: ModuleNotFoundError |  
00:06:16.667977 STDOUT 2254] |   |  
00:06:16.667982 STDOUT 2254] | During handling of the above exception, another exception occurred: |  
00:06:16.668028 STDOUT 2254] |   |  
00:06:16.668030 STDOUT 2254] | n_episodes = 2 |  
00:06:16.668035 STDOUT 2254] |   |  
00:06:16.668058 STDOUT 2254] | @pytest.mark.parametrize("n_episodes", [1, 2, 3, 4]) |  
00:06:16.668060 STDOUT 2254] | def test_monitor(n_episodes): |  
00:06:16.668063 STDOUT 2254] | steps = 15 |  
00:06:16.668093 STDOUT 2254] |   |  
00:06:16.668094 STDOUT 2254] | env = gym.make("CartPole-v1") |  
00:06:16.668098 STDOUT 2254] | # unwrap default TimeLimit and wrap with new one to simulate done=True |  
00:06:16.668122 STDOUT 2254] | # at step 5 |  
00:06:16.668123 STDOUT 2254] | assert isinstance(env, TimeLimit) |  
00:06:16.668126 STDOUT 2254] | env = env.env  # unwrap |  
00:06:16.668149 STDOUT 2254] | env = TimeLimit(env, max_episode_steps=5)  # wrap |  
00:06:16.668150 STDOUT 2254] |   |  
00:06:16.668153 STDOUT 2254] | tmpdir = tempfile.mkdtemp() |  
00:06:16.668225 STDOUT 2254] | try: |  
00:06:16.668229 STDOUT 2254] | env = pfrl.wrappers.Monitor( |  
00:06:16.668234 STDOUT 2254] | env, directory=tmpdir, video_callable=lambda episode_id: True |  
00:06:16.668298 STDOUT 2254] | ) |  
00:06:17.001995 STDOUT 2254] | episode_idx = 0 |  
00:06:17.001999 STDOUT 2254] | episode_len = 0 |  
00:06:17.002005 STDOUT 2254] | t = 0 |  
00:06:17.002064 STDOUT 2254] | >           _ = env.reset() |  
00:06:17.002066 STDOUT 2254] |   |  
00:06:17.002071 STDOUT 2254] | pfrl/tests/wrappers_tests/test_monitor.py:31: |  
00:06:17.002099 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:17.002101 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:54: in reset |  
00:06:17.002107 STDOUT 2254] | self._after_reset(observation) |  
00:06:17.002153 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:239: in _after_reset |  
00:06:17.002156 STDOUT 2254] | self.reset_video_recorder() |  
00:06:17.002161 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:265: in reset_video_recorder |  
00:06:17.002202 STDOUT 2254] | self.video_recorder.capture_frame() |  
00:06:17.002204 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/video_recorder.py:125: in capture_frame |  
00:06:17.002210 STDOUT 2254] | frame = self.env.render(mode=render_mode) |  
00:06:17.002272 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/core.py:254: in render |  
00:06:17.002277 STDOUT 2254] | return self.env.render(mode, **kwargs) |  
00:06:17.002283 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/cartpole.py:179: in render |  
00:06:17.002338 STDOUT 2254] | from gym.envs.classic_control import rendering |  
00:06:17.002341 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:17.002356 STDOUT 2254] |   |  
00:06:17.002400 STDOUT 2254] | """ |  
00:06:17.002403 STDOUT 2254] | import os |  
00:06:17.002409 STDOUT 2254] | import sys |  
00:06:17.002445 STDOUT 2254] |   |  
00:06:17.002448 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:17.002468 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:17.002470 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:17.002474 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:17.002501 STDOUT 2254] |   |  
00:06:17.002503 STDOUT 2254] | from gym import error |  
00:06:17.002507 STDOUT 2254] |   |  
00:06:17.002530 STDOUT 2254] | try: |  
00:06:17.002531 STDOUT 2254] | import pyglet |  
00:06:17.002544 STDOUT 2254] | except ImportError as e: |  
00:06:17.002588 STDOUT 2254] | raise ImportError( |  
00:06:17.002590 STDOUT 2254] | """ |  
00:06:17.002592 STDOUT 2254] | Cannot import pyglet. |  
00:06:17.002625 STDOUT 2254] | HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:17.002628 STDOUT 2254] | But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:17.002709 STDOUT 2254] | 'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:17.002711 STDOUT 2254] | >       """ |  
00:06:17.336380 STDOUT 2254] | ) |  
00:06:17.336434 STDOUT 2254] | E       ImportError: |  
00:06:17.336438 STDOUT 2254] | E           Cannot import pyglet. |  
00:06:17.336443 STDOUT 2254] | E           HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:17.336500 STDOUT 2254] | E           But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:17.336503 STDOUT 2254] | E           'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:17.336508 STDOUT 2254] |   |  
00:06:17.336532 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:23: ImportError |  
00:06:17.336538 STDOUT 2254] | _______________________________ test_monitor[3] ________________________________ |  
00:06:17.336547 STDOUT 2254] |   |  
00:06:17.336572 STDOUT 2254] | """ |  
00:06:17.336574 STDOUT 2254] | import os |  
00:06:17.336578 STDOUT 2254] | import sys |  
00:06:17.336628 STDOUT 2254] |   |  
00:06:17.336631 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:17.336635 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:17.336687 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:17.336690 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:17.336695 STDOUT 2254] |   |  
00:06:17.336815 STDOUT 2254] | from gym import error |  
00:06:17.336819 STDOUT 2254] |   |  
00:06:17.336825 STDOUT 2254] | try: |  
00:06:17.336879 STDOUT 2254] | >       import pyglet |  
00:06:17.336881 STDOUT 2254] | E       ModuleNotFoundError: No module named 'pyglet' |  
00:06:17.336885 STDOUT 2254] |   |  
00:06:17.336907 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:15: ModuleNotFoundError |  
00:06:17.336910 STDOUT 2254] |   |  
00:06:17.336913 STDOUT 2254] | During handling of the above exception, another exception occurred: |  
00:06:17.336931 STDOUT 2254] |   |  
00:06:17.336933 STDOUT 2254] | n_episodes = 3 |  
00:06:17.336936 STDOUT 2254] |   |  
00:06:17.336960 STDOUT 2254] | @pytest.mark.parametrize("n_episodes", [1, 2, 3, 4]) |  
00:06:17.336963 STDOUT 2254] | def test_monitor(n_episodes): |  
00:06:17.336968 STDOUT 2254] | steps = 15 |  
00:06:17.337014 STDOUT 2254] |   |  
00:06:17.337017 STDOUT 2254] | env = gym.make("CartPole-v1") |  
00:06:17.337022 STDOUT 2254] | # unwrap default TimeLimit and wrap with new one to simulate done=True |  
00:06:17.337071 STDOUT 2254] | # at step 5 |  
00:06:17.337073 STDOUT 2254] | assert isinstance(env, TimeLimit) |  
00:06:17.337080 STDOUT 2254] | env = env.env  # unwrap |  
00:06:17.337119 STDOUT 2254] | env = TimeLimit(env, max_episode_steps=5)  # wrap |  
00:06:17.337122 STDOUT 2254] |   |  
00:06:17.337128 STDOUT 2254] | tmpdir = tempfile.mkdtemp() |  
00:06:17.337165 STDOUT 2254] | try: |  
00:06:17.337167 STDOUT 2254] | env = pfrl.wrappers.Monitor( |  
00:06:17.337172 STDOUT 2254] | env, directory=tmpdir, video_callable=lambda episode_id: True |  
00:06:17.670338 STDOUT 2254] | ) |  
00:06:17.670342 STDOUT 2254] | episode_idx = 0 |  
00:06:17.670348 STDOUT 2254] | episode_len = 0 |  
00:06:17.670404 STDOUT 2254] | t = 0 |  
00:06:17.670409 STDOUT 2254] | >           _ = env.reset() |  
00:06:17.670414 STDOUT 2254] |   |  
00:06:17.670472 STDOUT 2254] | pfrl/tests/wrappers_tests/test_monitor.py:31: |  
00:06:17.670474 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:17.670480 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:54: in reset |  
00:06:17.670572 STDOUT 2254] | self._after_reset(observation) |  
00:06:17.670575 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:239: in _after_reset |  
00:06:17.670581 STDOUT 2254] | self.reset_video_recorder() |  
00:06:17.670682 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:265: in reset_video_recorder |  
00:06:17.670686 STDOUT 2254] | self.video_recorder.capture_frame() |  
00:06:17.670691 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/video_recorder.py:125: in capture_frame |  
00:06:17.670731 STDOUT 2254] | frame = self.env.render(mode=render_mode) |  
00:06:17.670748 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/core.py:254: in render |  
00:06:17.670754 STDOUT 2254] | return self.env.render(mode, **kwargs) |  
00:06:17.670790 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/cartpole.py:179: in render |  
00:06:17.670793 STDOUT 2254] | from gym.envs.classic_control import rendering |  
00:06:17.670797 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:17.670831 STDOUT 2254] |   |  
00:06:17.670834 STDOUT 2254] | """ |  
00:06:17.670838 STDOUT 2254] | import os |  
00:06:17.670867 STDOUT 2254] | import sys |  
00:06:17.670870 STDOUT 2254] |   |  
00:06:17.670875 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:17.670906 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:17.670909 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:17.670913 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:17.670948 STDOUT 2254] |   |  
00:06:17.670951 STDOUT 2254] | from gym import error |  
00:06:17.670957 STDOUT 2254] |   |  
00:06:17.670978 STDOUT 2254] | try: |  
00:06:17.671008 STDOUT 2254] | import pyglet |  
00:06:17.671011 STDOUT 2254] | except ImportError as e: |  
00:06:17.671017 STDOUT 2254] | raise ImportError( |  
00:06:17.671047 STDOUT 2254] | """ |  
00:06:17.671050 STDOUT 2254] | Cannot import pyglet. |  
00:06:17.671056 STDOUT 2254] | HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:17.671127 STDOUT 2254] | But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:17.671130 STDOUT 2254] | 'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:18.003967 STDOUT 2254] | >       """ |  
00:06:18.004058 STDOUT 2254] | ) |  
00:06:18.004065 STDOUT 2254] | E       ImportError: |  
00:06:18.004071 STDOUT 2254] | E           Cannot import pyglet. |  
00:06:18.004112 STDOUT 2254] | E           HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:18.004115 STDOUT 2254] | E           But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:18.004121 STDOUT 2254] | E           'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:18.004180 STDOUT 2254] |   |  
00:06:18.004183 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:23: ImportError |  
00:06:18.004251 STDOUT 2254] | _______________________________ test_monitor[4] ________________________________ |  
00:06:18.004255 STDOUT 2254] |   |  
00:06:18.004261 STDOUT 2254] | """ |  
00:06:18.004289 STDOUT 2254] | import os |  
00:06:18.004292 STDOUT 2254] | import sys |  
00:06:18.004297 STDOUT 2254] |   |  
00:06:18.004333 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:18.004336 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:18.004342 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:18.004394 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:18.004399 STDOUT 2254] |   |  
00:06:18.004404 STDOUT 2254] | from gym import error |  
00:06:18.004453 STDOUT 2254] |   |  
00:06:18.004455 STDOUT 2254] | try: |  
00:06:18.004459 STDOUT 2254] | >       import pyglet |  
00:06:18.004492 STDOUT 2254] | E       ModuleNotFoundError: No module named 'pyglet' |  
00:06:18.004494 STDOUT 2254] |   |  
00:06:18.004521 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:15: ModuleNotFoundError |  
00:06:18.004524 STDOUT 2254] |   |  
00:06:18.004529 STDOUT 2254] | During handling of the above exception, another exception occurred: |  
00:06:18.004561 STDOUT 2254] |   |  
00:06:18.004564 STDOUT 2254] | n_episodes = 4 |  
00:06:18.004568 STDOUT 2254] |   |  
00:06:18.004574 STDOUT 2254] | @pytest.mark.parametrize("n_episodes", [1, 2, 3, 4]) |  
00:06:18.004592 STDOUT 2254] | def test_monitor(n_episodes): |  
00:06:18.004595 STDOUT 2254] | steps = 15 |  
00:06:18.004601 STDOUT 2254] |   |  
00:06:18.004635 STDOUT 2254] | env = gym.make("CartPole-v1") |  
00:06:18.004637 STDOUT 2254] | # unwrap default TimeLimit and wrap with new one to simulate done=True |  
00:06:18.004640 STDOUT 2254] | # at step 5 |  
00:06:18.004699 STDOUT 2254] | assert isinstance(env, TimeLimit) |  
00:06:18.004703 STDOUT 2254] | env = env.env  # unwrap |  
00:06:18.004709 STDOUT 2254] | env = TimeLimit(env, max_episode_steps=5)  # wrap |  
00:06:18.004746 STDOUT 2254] |   |  
00:06:18.004749 STDOUT 2254] | tmpdir = tempfile.mkdtemp() |  
00:06:18.004753 STDOUT 2254] | try: |  
00:06:18.004848 STDOUT 2254] | env = pfrl.wrappers.Monitor( |  
00:06:18.344241 STDOUT 2254] | env, directory=tmpdir, video_callable=lambda episode_id: True |  
00:06:18.344247 STDOUT 2254] | ) |  
00:06:18.344253 STDOUT 2254] | episode_idx = 0 |  
00:06:18.344342 STDOUT 2254] | episode_len = 0 |  
00:06:18.344345 STDOUT 2254] | t = 0 |  
00:06:18.344350 STDOUT 2254] | >           _ = env.reset() |  
00:06:18.344453 STDOUT 2254] |   |  
00:06:18.344455 STDOUT 2254] | pfrl/tests/wrappers_tests/test_monitor.py:31: |  
00:06:18.344459 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:18.344480 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:54: in reset |  
00:06:18.344483 STDOUT 2254] | self._after_reset(observation) |  
00:06:18.344486 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:239: in _after_reset |  
00:06:18.344515 STDOUT 2254] | self.reset_video_recorder() |  
00:06:18.344517 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py:265: in reset_video_recorder |  
00:06:18.344520 STDOUT 2254] | self.video_recorder.capture_frame() |  
00:06:18.344543 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/video_recorder.py:125: in capture_frame |  
00:06:18.344544 STDOUT 2254] | frame = self.env.render(mode=render_mode) |  
00:06:18.344547 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/core.py:254: in render |  
00:06:18.344568 STDOUT 2254] | return self.env.render(mode, **kwargs) |  
00:06:18.344570 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/cartpole.py:179: in render |  
00:06:18.344572 STDOUT 2254] | from gym.envs.classic_control import rendering |  
00:06:18.344594 STDOUT 2254] | _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |  
00:06:18.344596 STDOUT 2254] |   |  
00:06:18.344598 STDOUT 2254] | """ |  
00:06:18.344651 STDOUT 2254] | import os |  
00:06:18.344653 STDOUT 2254] | import sys |  
00:06:18.344657 STDOUT 2254] |   |  
00:06:18.344688 STDOUT 2254] | if "Apple" in sys.version: |  
00:06:18.344690 STDOUT 2254] | if "DYLD_FALLBACK_LIBRARY_PATH" in os.environ: |  
00:06:18.344693 STDOUT 2254] | os.environ["DYLD_FALLBACK_LIBRARY_PATH"] += ":/usr/lib" |  
00:06:18.344719 STDOUT 2254] | # (JDS 2016/04/15): avoid bug on Anaconda 2.3.0 / Yosemite |  
00:06:18.344721 STDOUT 2254] |   |  
00:06:18.344725 STDOUT 2254] | from gym import error |  
00:06:18.344748 STDOUT 2254] |   |  
00:06:18.344750 STDOUT 2254] | try: |  
00:06:18.344753 STDOUT 2254] | import pyglet |  
00:06:18.344790 STDOUT 2254] | except ImportError as e: |  
00:06:18.344791 STDOUT 2254] | raise ImportError( |  
00:06:18.344797 STDOUT 2254] | """ |  
00:06:18.344819 STDOUT 2254] | Cannot import pyglet. |  
00:06:18.344820 STDOUT 2254] | HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:18.344823 STDOUT 2254] | But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:18.344868 STDOUT 2254] | 'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:18.678537 STDOUT 2254] | >       """ |  
00:06:18.678604 STDOUT 2254] | ) |  
00:06:18.678606 STDOUT 2254] | E       ImportError: |  
00:06:18.678610 STDOUT 2254] | E           Cannot import pyglet. |  
00:06:18.678635 STDOUT 2254] | E           HINT: you can install pyglet directly via 'pip install pyglet'. |  
00:06:18.678636 STDOUT 2254] | E           But if you really just want to install all Gym dependencies and not have to think about it, |  
00:06:18.678640 STDOUT 2254] | E           'pip install -e .[all]' or 'pip install gym[all]' will do it. |  
00:06:18.678665 STDOUT 2254] |   |  
00:06:18.678667 STDOUT 2254] | opt/conda/lib/python3.7/site-packages/gym/envs/classic_control/rendering.py:23: ImportError |  
00:06:18.678670 STDOUT 2254] | =========================== 4 failed in 2.70 seconds =========================== |  
00:06:18.678692 STDOUT 2254] |   |  
00:06:18.678693 STDOUT 2254] | Exception ignored in: <function Monitor.__del__ at 0x7f068a825a70> |  
00:06:18.678696 STDOUT 2254] | Traceback (most recent call last): |  
00:06:18.678716 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 287, in __del__ |  
00:06:18.678718 STDOUT 2254] | self.close() |  
00:06:18.678721 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 180, in close |  
00:06:18.678838 STDOUT 2254] | self.stats_recorder.close() |  
00:06:18.678843 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/pfrl/wrappers/monitor.py", line 99, in close |  
00:06:18.678851 STDOUT 2254] | super().close() |  
00:06:18.678889 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 105, in close |  
00:06:18.678891 STDOUT 2254] | self.flush() |  
00:06:18.678894 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 112, in flush |  
00:06:18.678917 STDOUT 2254] | with atomic_write.atomic_write(self.path) as f: |  
00:06:18.678918 STDOUT 2254] | File "/opt/conda/lib/python3.7/contextlib.py", line 112, in __enter__ |  
00:06:18.678921 STDOUT 2254] | return next(self.gen) |  
00:06:18.678946 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/utils/atomic_write.py", line 50, in atomic_write |  
00:06:18.678949 STDOUT 2254] | with open(tmppath, "wb" if binary else "w") as file: |  
00:06:18.678952 STDOUT 2254] | FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpsn3811ro/openaigym.episode_batch.0.7695.stats.json~' |  
00:06:18.679025 STDOUT 2254] | Exception ignored in: <function Monitor.__del__ at 0x7f068a825a70> |  
00:06:18.679029 STDOUT 2254] | Traceback (most recent call last): |  
00:06:18.679035 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 287, in __del__ |  
00:06:18.679086 STDOUT 2254] | self.close() |  
00:06:18.679089 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 180, in close |  
00:06:18.679094 STDOUT 2254] | self.stats_recorder.close() |  
00:06:18.679193 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/pfrl/wrappers/monitor.py", line 99, in close |  
00:06:19.013708 STDOUT 2254] | super().close() |  
00:06:19.013712 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 105, in close |  
00:06:19.013719 STDOUT 2254] | self.flush() |  
00:06:19.013810 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 112, in flush |  
00:06:19.013814 STDOUT 2254] | with atomic_write.atomic_write(self.path) as f: |  
00:06:19.013820 STDOUT 2254] | File "/opt/conda/lib/python3.7/contextlib.py", line 112, in __enter__ |  
00:06:19.013865 STDOUT 2254] | return next(self.gen) |  
00:06:19.013867 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/utils/atomic_write.py", line 50, in atomic_write |  
00:06:19.013871 STDOUT 2254] | with open(tmppath, "wb" if binary else "w") as file: |  
00:06:19.013919 STDOUT 2254] | FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpi_11hhxg/openaigym.episode_batch.1.7695.stats.json~' |  
00:06:19.013922 STDOUT 2254] | Error in atexit._run_exitfuncs: |  
00:06:19.013925 STDOUT 2254] | Traceback (most recent call last): |  
00:06:19.013968 STDOUT 2254] | File "/opt/conda/lib/python3.7/contextlib.py", line 112, in __enter__ |  
00:06:19.013971 STDOUT 2254] | return next(self.gen) |  
00:06:19.013976 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/utils/atomic_write.py", line 50, in atomic_write |  
00:06:19.014031 STDOUT 2254] | with open(tmppath, "wb" if binary else "w") as file: |  
00:06:19.014034 STDOUT 2254] | FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpu9hvcsn1/openaigym.episode_batch.2.7695.stats.json~' |  
00:06:19.014038 STDOUT 2254] | Exception ignored in: <function Monitor.__del__ at 0x7f068a825a70> |  
00:06:19.014067 STDOUT 2254] | Traceback (most recent call last): |  
00:06:19.014069 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 287, in __del__ |  
00:06:19.014072 STDOUT 2254] | self.close() |  
00:06:19.014096 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 180, in close |  
00:06:19.014098 STDOUT 2254] | self.stats_recorder.close() |  
00:06:19.014101 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/pfrl/wrappers/monitor.py", line 99, in close |  
00:06:19.014158 STDOUT 2254] | super().close() |  
00:06:19.014160 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 105, in close |  
00:06:19.014166 STDOUT 2254] | self.flush() |  
00:06:19.014219 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 112, in flush |  
00:06:19.014222 STDOUT 2254] | with atomic_write.atomic_write(self.path) as f: |  
00:06:19.014227 STDOUT 2254] | File "/opt/conda/lib/python3.7/contextlib.py", line 112, in __enter__ |  
00:06:19.014344 STDOUT 2254] | return next(self.gen) |  
00:06:19.014351 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/utils/atomic_write.py", line 50, in atomic_write |  
00:06:19.348248 STDOUT 2254] | with open(tmppath, "wb" if binary else "w") as file: |  
00:06:19.348312 STDOUT 2254] | FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpu9hvcsn1/openaigym.episode_batch.2.7695.stats.json~' |  
00:06:19.348337 STDOUT 2254] | Exception ignored in: <function Monitor.__del__ at 0x7f068a825a70> |  
00:06:19.348344 STDOUT 2254] | Traceback (most recent call last): |  
00:06:19.348401 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 287, in __del__ |  
00:06:19.348403 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitor.py", line 180, in close |  
00:06:19.348407 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/pfrl/wrappers/monitor.py", line 99, in close |  
00:06:19.348467 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 105, in close |  
00:06:19.348475 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/wrappers/monitoring/stats_recorder.py", line 112, in flush |  
00:06:19.348484 STDOUT 2254] | File "/opt/conda/lib/python3.7/contextlib.py", line 112, in __enter__ |  
00:06:19.348571 STDOUT 2254] | File "/opt/conda/lib/python3.7/site-packages/gym/utils/atomic_write.py", line 50, in atomic_write |  
00:06:19.348576 STDOUT 2254] | NameError: name 'open' is not defined
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Fix CI error due to gym's version muupan/pfrl
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@muupan