* 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
* 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
See also space.Box.contains(), it already has this change
Reproduce Error with following lines:
from gym import spaces
import numpy as np
space_Multidiscrete = spaces.MultiDiscrete(np.ones((10,3)))
sample_test = np.ones((9,3))
space_Multidiscrete.contains(sample_test) #errors: ValueError: operands could not be broadcast together with shapes (9,3) (10,3)
`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
