mirror of
https://github.com/Farama-Foundation/Gymnasium.git
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58e6aa95e5
* 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
27 lines
769 B
Python
27 lines
769 B
Python
import numpy as np
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from gym import Space
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class Discrete(Space):
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"""
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{0,1,...,n-1}
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"""
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def __init__(self, n, np_random=None):
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if np_random is None:
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np_random = np.random
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self.np_random = np_random
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self.n = n
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def sample(self):
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return self.np_random.randint(self.n)
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def contains(self, x):
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if isinstance(x, int):
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as_int = x
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elif isinstance(x, (np.generic, np.ndarray)) and (x.dtype.kind in np.typecodes['AllInteger'] and x.shape == ()):
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as_int = int(x)
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else:
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return False
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return as_int >= 0 and as_int < self.n
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def __repr__(self):
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return "Discrete(%d)" % self.n
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def __eq__(self, other):
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return self.n == other.n
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