* Add a case for the Box shape where the low and high values are both scalars
* Add seeding.RandomNumberGenerator parameter to Dict seed. Modify __repr__ for the dictionary space string looks similar to an actual dictionary
* Add seeding.RandomNumberGenerator parameter to Multi Binary seed
* Add seeding.RandomNumberGenerator parameter to Multi Binary seed. Modify nvec typing to include np.ndarray
* Space seed typing can be a seeding.RandomNumberGenerator. If a seeding.RNG is provided then it is assigned to _np_random and .seed is not run
* Fixed the tuple seeding type as List[int] is not a valid Space seed type
* Added typing to batch_space. The batch_space seed is equal to the space's seeding
* Fixed the seeding type
* Add test for batch space seeds are identical to the original space's seeding
* Add equivalence function for RandomNumberGenerator comparing the bit_generator.state
* The batch_space functions uses a copy of the seed for the original space
* Set the action space seed for sync_vector_env seed testing
* Add test for the seeding of the sync vector environment
* Update the test_batch_space_seed to check the resulting sampling are equivalent for testing
* Revert representation back to the original version
* Remove additional Box shape initialisation
* Remove additional typing of MultiDiscrete
* Fixed bug of Space batch space where the original space's np_random is not a complete copy of the original space
* Add CustomSpace to the batched space seed test
* Modify the CustomSpace sample to produce a random number not a static value
* Fix CustomSpace to reflect the sample function
* Copy the space.np_random for the batched_space seed to ensure that the original space doesn't sampling doesn't effect the batched_space
* Parameterized the batch_space_seed, added testing for rng_different_at_each_index and test_deterministic
* Black and isort pre-commit changes
* Pre-commit fix
* MacOS, test_read_from_shared_memory throws an error that the inner _process_write function was unpicklable. Making the function a top-level function solves this error
* Fixed typing of seed where a space's seed function differs from Space.seed's typing
* Added check that the sample lengths are equal and explicitly provided the number of batched spaces n=1
* Removed relative imports for absolute imports
* Use deepcopy instead of copy
* Replaces `from numpy.testing._private.utils import assert_array_equal` with `from numpy.testing import assert_array_equal`
* Using the seeding `__eq__` function, replace `np_random.bit_generator.state` with `np_random`
* Added docstrings and comments to the tests to explain their purpose
* Remove __eq__ from RandomNumberGenerator and add to tests/vector/utils
* Add sync vector determinism test for issue #2680
* Fixed bug for 462101d384 (r850740825)
* Made the new seeds a list of integers
* Updated cartpole-v0 to v1 to prevent warning and added pytest.mark.filterwarnings for tests where warnings are unavoidable
* Change np.bool to bool as numpy raises a warning and bool is the suggested solution
* Seeding randint is deprecated in the future, integers is new solution
* Fixed errors thrown when the video recorder is deleted but not closed
* spaces.Box expects a floating array, updated all cases where this was not true and modified float32 to float64 as float array default to float64. Otherwise space.Box raises warning that dtype precision (float32) is lower than array precision (float64).
* Added pytest.mark.filterwarnings to preventing the raising of an intended warning
* Added comment to explain why a warning is raised that can't be prevented without version update to the environment
* Added comment to explain why warning is raised
* Changed values to float as expected by the box which default to float64
* Removed --forked from pytest as the pytest-forked project is no being maintained and was not raising warnings as expected
* When AsyncVectorEnv has shared_memory=True then a ValueError is raised before _state is initialised. Therefore, on the destruction on the env an error is thrown in .close_extra as _state does not exist
* Possible fix that was causing an error in test_call_async_vector_env by ensuring that pygame resources are released
* Pygame throws an error with ALSA when closed, using a fix from PettingZoo (https://github.com/Farama-Foundation/PettingZoo/blob/master/pettingzoo/__init__.py). We use the dsp audiodriver to prevent this issue
* Modification due to running pre-commit locally
* Updated cartpole-v0 to v1 to prevent warning and added pytest.mark.filterwarnings for tests where warnings are unavoidable
* Change np.bool to bool as numpy raises a warning and bool is the suggested solution
* Seeding randint is deprecated in the future, integers is new solution
* Fixed errors thrown when the video recorder is deleted but not closed
* spaces.Box expects a floating array, updated all cases where this was not true and modified float32 to float64 as float array default to float64. Otherwise space.Box raises warning that dtype precision (float32) is lower than array precision (float64).
* Added pytest.mark.filterwarnings to preventing the raising of an intended warning
* Added comment to explain why a warning is raised that can't be prevented without version update to the environment
* Added comment to explain why warning is raised
* Changed values to float as expected by the box which default to float64
* Removed --forked from pytest as the pytest-forked project is no being maintained and was not raising warnings as expected
* When AsyncVectorEnv has shared_memory=True then a ValueError is raised before _state is initialised. Therefore, on the destruction on the env an error is thrown in .close_extra as _state does not exist
* Possible fix that was causing an error in test_call_async_vector_env by ensuring that pygame resources are released
* Pygame throws an error with ALSA when closed, using a fix from PettingZoo (https://github.com/Farama-Foundation/PettingZoo/blob/master/pettingzoo/__init__.py). We use the dsp audiodriver to prevent this issue
* Modification due to running pre-commit locally
* typing in spaces.Box and spaces.Discrete
* adds typing to dict and tuple spaces
* Typecheck all spaces
* Explicit regex to include all files under space folder
* Style: use native types and __future__ annotations
* Allow only specific strings for Box.is_bounded args
* Add typing to changes from #2517
* Remove Literal as it's not supported by py3.7
* Use more recent version of pyright
* Avoid name clash for type checker
* Revert "Avoid name clash for type checker"
This reverts commit 1aaf3e0e0328171623a17a997b65fe734bc0afb1.
* Ignore the error. It's reported as probable bug at https://github.com/microsoft/pyright/issues/2852
* rebase and add typing for `_short_repr`
* Type cast for `spaces.Dict`
* Type cast for `spaces.Tuple`
* Type cast for `spaces.Discrete`
* Type cast for `spaces.MultiDiscrete`
* Type cast for `spaces.MultiBinary`
* Make the seed in default initialization controllable
Since seed() is being called in default initialization of Space, it should be controllable for reproducibility.
* Updated derived classes of Space to have their seeds controllable at initialization.
* Allow Tuple's spaces to each have their own seed
* Added dict based seeding for Dict space; test cases for Tuple and Dict seeding
* Update discrete.py
* Update test_spaces.py
* Add seed to __init__()
* blacked
* Fix black
* Fix failing tests
```
np.uint8(0).dtype.kind in np.typecodes['AllInteger'] == False
np.uint8(0).dtype.char in np.typecodes['AllInteger'] == True
```
```
dtype.kind A character code (one of ‘biufcmMOSUV’) identifying the general kind of data.
dtype.char A unique character code for each of the 21 different built-in types.
```
`contains` really should not exist when it does exactly what the builtin
magic method `__contains__` was meant for, but that would break backward
compatibility.
* add dtype to Box
* remove board_game, debugging, safety, parameter_tuning environments
* massive set of breaking changes
- remove python logging module
- _step, _reset, _seed, _close => non underscored method
- remove benchmark and scoring folder
* Improve render("human"), now resizable, closable window.
* get rid of default step and reset in wrappers, so it doesn’t silently fail for people with underscore methods
* CubeCrash unit test environment
* followup fixes
* MemorizeDigits unit test envrionment
* refactored spaces a bit
fixed indentation
disabled test_env_semantics
* fix unit tests
* fixes
* CubeCrash, MemorizeDigits tested
* gym backwards compatibility patch
* gym backwards compatibility, followup fixes
* changelist, add spaces to main namespaces
* undo_logger_setup for backwards compat
* remove configuration.py
* Doom - Added reward_threshold and timestep_limit for all environments
* Doom - Returning all available game variables
* Doom - Moved _seed to doom_env to avoid repetition in every environment
* Doom - Added ALT_ATTACK and made all action_space equivalent (same controls between environments).
* Doom - Actions can either be a short list of allowed actions or the full list of 41 commands
* Doom - Returning black observation space on error or is_finished, rather than empty list (which was triggering an error)
* Doom - HighLow.sample() returns the small list.
* Doom - Updated difficulty for some missions
* Doom - Fixed inconsistency between controls.md and deathmatch.cfg
* Doom - Issue #168 - Remove sleep statement from DoomEnv render
* Doom - Only using full action space (43 keys)
- Added 'normal', 'fast' and 'human' mode
- Set non-deterministic to True
- Set video.frames_per_second to 35
- Properly returning game variables
* Replaced warnings.warn by logger.warn
* Doom - Added NUM_ACTIONS and action_idx instead of x
* Doom - Added NUM_ACTIONS and action_idx instead of x
* Doom - reset() only calls game.new_episode() after first call
* Doom is now deterministic
* Doom - Partial fix for issue #167 - DoomDeathmatch environment crashes sporadically
* Doom - Standardized envs, simplified _reset
* Doom - Removed temporary fix for issue #167
* Doom - Added scoreboard summary and description
* Make environments seedable
* Fix monitor bugs
- Set monitor_id before setting the infix. This was a bug that would yield incorrect results with multiple monitors.
- Remove extra pid from stats recorder filename. This should be purely cosmetic.
* Start uploading seeds in episode_batch
* Fix _bigint_from_bytes for python3
* Set seed explicitly in random_agent
* Pass through seed argument
* Also pass through random state to spaces
* Pass random state into the observation/action spaces
* Make all _seed methods return the list of used seeds
* Switch over to np.random where possible
* Start hashing seeds, and also seed doom engine
* Fixup seeding determinism in many cases
* Seed before loading the ROM
* Make seeding more Python3 friendly
* Make the MuJoCo skipping a bit more forgiving
* Remove debugging PDB calls
* Make setInt argument into raw bytes
* Validate and upload seeds
* Skip box2d
* Make seeds smaller, and change representation of seeds in upload
* Handle long seeds
* Fix RandomAgent example to be deterministic
* Handle integer types correctly in Python2 and Python3
* Try caching pip
* Try adding swap
* Add df and free calls
* Bump swap
* Bump swap size
* Try setting overcommit
* Try other sysctls
* Try fixing overcommit
* Try just setting overcommit_memory=1
* Add explanatory comment
* Add what's new section to readme
* BUG: Mark ElevatorAction-ram-v0 as non-deterministic for now
* Document seed
* Move nondetermistic check into spec
