Files
Gymnasium/gym/spaces/multi_discrete.py
John Schulman 4c460ba6c8 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

22 lines
759 B
Python

import gym
from gym import spaces, Space
import numpy as np
class MultiDiscrete(Space):
def __init__(self, nvec):
"""
nvec: vector of counts of each categorical variable
"""
self.nvec = np.asarray(nvec, dtype=np.int32)
assert self.nvec.ndim == 1, 'nvec should be a 1d array (or list) of ints'
Space.__init__(self, (self.nvec.size,), np.int8)
def sample(self):
return (spaces.np_random.rand(self.nvec.size) * self.nvec).astype(self.dtype)
def contains(self, x):
return (x < self.nvec).all() and x.dtype.kind in 'ui'
def to_jsonable(self, sample_n):
return [sample.tolist() for sample in sample_n]
def from_jsonable(self, sample_n):
return np.array(sample_n)