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Seeding update (#2422)
* 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
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@@ -1,5 +1,6 @@
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import sys
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import math
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from typing import Optional
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import numpy as np
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import Box2D
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@@ -122,7 +123,6 @@ class BipedalWalker(gym.Env, EzPickle):
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def __init__(self):
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EzPickle.__init__(self)
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self.seed()
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self.viewer = None
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self.world = Box2D.b2World()
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@@ -149,10 +149,6 @@ class BipedalWalker(gym.Env, EzPickle):
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)
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self.observation_space = spaces.Box(-high, high)
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def seed(self, seed=None):
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self.np_random, seed = seeding.np_random(seed)
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return [seed]
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def _destroy(self):
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if not self.terrain:
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return
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@@ -188,7 +184,7 @@ class BipedalWalker(gym.Env, EzPickle):
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y += velocity
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elif state == PIT and oneshot:
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counter = self.np_random.randint(3, 5)
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counter = self.np_random.integers(3, 5)
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poly = [
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(x, y),
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(x + TERRAIN_STEP, y),
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@@ -215,7 +211,7 @@ class BipedalWalker(gym.Env, EzPickle):
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y -= 4 * TERRAIN_STEP
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elif state == STUMP and oneshot:
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counter = self.np_random.randint(1, 3)
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counter = self.np_random.integers(1, 3)
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poly = [
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(x, y),
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(x + counter * TERRAIN_STEP, y),
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@@ -228,9 +224,9 @@ class BipedalWalker(gym.Env, EzPickle):
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self.terrain.append(t)
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elif state == STAIRS and oneshot:
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stair_height = +1 if self.np_random.rand() > 0.5 else -1
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stair_width = self.np_random.randint(4, 5)
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stair_steps = self.np_random.randint(3, 5)
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stair_height = +1 if self.np_random.random() > 0.5 else -1
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stair_width = self.np_random.integers(4, 5)
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stair_steps = self.np_random.integers(3, 5)
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original_y = y
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for s in range(stair_steps):
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poly = [
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@@ -266,9 +262,9 @@ class BipedalWalker(gym.Env, EzPickle):
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self.terrain_y.append(y)
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counter -= 1
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if counter == 0:
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counter = self.np_random.randint(TERRAIN_GRASS / 2, TERRAIN_GRASS)
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counter = self.np_random.integers(TERRAIN_GRASS / 2, TERRAIN_GRASS)
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if state == GRASS and hardcore:
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state = self.np_random.randint(1, _STATES_)
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state = self.np_random.integers(1, _STATES_)
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oneshot = True
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else:
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state = GRASS
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@@ -312,7 +308,8 @@ class BipedalWalker(gym.Env, EzPickle):
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x2 = max(p[0] for p in poly)
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self.cloud_poly.append((poly, x1, x2))
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def reset(self):
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def reset(self, seed: Optional[int] = None):
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super().reset(seed=seed)
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self._destroy()
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self.world.contactListener_bug_workaround = ContactDetector(self)
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self.world.contactListener = self.world.contactListener_bug_workaround
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