Gymnasium/gym/__init__.py

import distutils.version
import os
import sys
import warnings

from gym import error
from gym.version import VERSION as __version__

from gym.core import Env, GoalEnv, Wrapper, ObservationWrapper, ActionWrapper, RewardWrapper
from gym.spaces import Space
from gym.envs import make, spec, register
from gym import logger
from gym import vector

__all__ = ["Env", "Space", "Wrapper", "make", "spec", "register"]
Sanity check that all dependencies are satisfied on __init__ 2016-04-30 22:38:09 -07:00			`import distutils.version`
Add GYM_NO_LOGGER_SETUP to disable logging config This is useful for frameworks which are often used with Gym but don't have a direct dependency on it 2017-05-07 17:32:09 -07:00			`import os`
Initial release. Hello world :). 2016-04-27 08:00:58 -07:00			`import sys`
Cleanup, removal of unmaintained code (#836) * 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 2018-01-25 18:20:14 -08:00			`import warnings`
Initial release. Hello world :). 2016-04-27 08:00:58 -07:00
Merge pull request #44 from lukemetz/lm/errors added missing import 2016-05-01 23:09:16 -04:00			`from gym import error`
Add __version__ (#490) 2017-02-03 16:51:00 -08:00			`from gym.version import VERSION as __version__`
Sanity check that all dependencies are satisfied on __init__ 2016-04-30 22:38:09 -07:00
fix KellyCoinFlipGeneralizedTest (sample from action_space after seed and reset, as action dimensions in it are also random) 2019-01-30 14:50:18 -08:00			`from gym.core import Env, GoalEnv, Wrapper, ObservationWrapper, ActionWrapper, RewardWrapper`
			`from gym.spaces import Space`
Support kwargs in gym.make and export register (#1301) * Support kwargs in gym.make We avoided adding kwargs for a long time in order to encourage people to statically register their environment definitions. However, over time we've found a few important use-cases for kwargs, such as: - Runtime-specific objects, such as which GPU to run the environment on - Parametrized environments, which can have an infinite number of meaningful variants The latter breaks the invariant that the environment ID alone determines the semantics of the environment, but it's an advanced use-case and such users should be able to manage this on their own. * Export the register method so it's easier for external users to register environments * Improve kwargs test 2019-01-29 13:37:43 -08:00			`from gym.envs import make, spec, register`
Speed up time for `import gym` (#1020) * Improve default import time from 750ms -> 73ms on 2016 Macbook pro * Support code which expects gym.spaces.foo to work without a direct import of gym.spaces 2018-05-04 09:24:30 -07:00			`from gym import logger`
Vectorized environments (#1513) * Initial version of vectorized environments * Raise an exception in the main process if child process raises an exception * Add list of exposed functions in vector module * Use deepcopy instead of np.copy * Add documentation for vector utils * Add tests for copy in AsyncVectorEnv * Add example in documentation for batch_space * Add cloudpickle dependency in setup.py * Fix __del__ in VectorEnv * Check if all observation spaces are equal in AsyncVectorEnv * Check if all observation spaces are equal in SyncVectorEnv * Fix spaces non equality in SyncVectorEnv for Python 2 * Handle None parameter in create_empty_array * Fix check_observation_space with spaces equality * Raise an exception when operations are out of order in AsyncVectorEnv * Add version requirement for cloudpickle * Use a state instead of binary flags in AsyncVectorEnv * Use numpy.zeros when initializing observations in vectorized environments * Remove poll from public API in AsyncVectorEnv * Remove close_extras from VectorEnv * Add test between AsyncVectorEnv and SyncVectorEnv * Remove close in check_observation_space * Add documentation for seed and close * Refactor exceptions for AsyncVectorEnv * Close pipes if the environment raises an error * Add tests for out of order operations * Change default argument in create_empty_array to np.zeros * Add get_attr and set_attr methods to VectorEnv * Improve consistency in SyncVectorEnv 2019-06-21 17:29:44 -04:00			`from gym import vector`
Cleanup, removal of unmaintained code (#836) * 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 2018-01-25 18:20:14 -08:00
Support kwargs in gym.make and export register (#1301) * Support kwargs in gym.make We avoided adding kwargs for a long time in order to encourage people to statically register their environment definitions. However, over time we've found a few important use-cases for kwargs, such as: - Runtime-specific objects, such as which GPU to run the environment on - Parametrized environments, which can have an infinite number of meaningful variants The latter breaks the invariant that the environment ID alone determines the semantics of the environment, but it's an advanced use-case and such users should be able to manage this on their own. * Export the register method so it's easier for external users to register environments * Improve kwargs test 2019-01-29 13:37:43 -08:00			`__all__ = ["Env", "Space", "Wrapper", "make", "spec", "register"]`