mirror of
https://github.com/Farama-Foundation/Gymnasium.git
synced 2025-08-15 19:31:27 +00:00
40 lines
2.0 KiB
Python
40 lines
2.0 KiB
Python
|
import pytest
|
||
|
|
import numpy as np
|
||
|
|
|
||
|
|
from gym.spaces import Box, MultiDiscrete, Tuple, Dict
|
||
|
|
from gym.vector.tests.utils import spaces
|
||
|
|
|
||
|
|
from gym.vector.utils.spaces import _BaseGymSpaces, batch_space
|
||
|
|
|
||
|
|
expected_batch_spaces_4 = [
|
||
|
|
Box(low=-1., high=1., shape=(4,), dtype=np.float64),
|
||
|
|
Box(low=0., high=10., shape=(4, 1), dtype=np.float32),
|
||
|
|
Box(low=np.array([[-1., 0., 0.], [-1., 0., 0.], [-1., 0., 0.], [-1., 0., 0.]]),
|
||
|
|
high=np.array([[1., 1., 1.], [1., 1., 1.], [1., 1., 1.], [1., 1., 1.]]), dtype=np.float32),
|
||
|
|
Box(low=np.array([[[-1., 0.], [0., -1.]], [[-1., 0.], [0., -1.]], [[-1., 0.], [0., -1]],
|
||
|
|
[[-1., 0.], [0., -1.]]]), high=np.ones((4, 2, 2)), dtype=np.float32),
|
||
|
|
Box(low=0, high=255, shape=(4,), dtype=np.uint8),
|
||
|
|
Box(low=0, high=255, shape=(4, 32, 32, 3), dtype=np.uint8),
|
||
|
|
MultiDiscrete([2, 2, 2, 2]),
|
||
|
|
Tuple((MultiDiscrete([3, 3, 3, 3]), MultiDiscrete([5, 5, 5, 5]))),
|
||
|
|
Tuple((MultiDiscrete([7, 7, 7, 7]), Box(low=np.array([[0., -1.], [0., -1.], [0., -1.], [0., -1]]),
|
||
|
|
high=np.array([[1., 1.], [1., 1.], [1., 1.], [1., 1.]]), dtype=np.float32))),
|
||
|
|
Box(low=np.array([[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]]),
|
||
|
|
high=np.array([[10, 12, 16], [10, 12, 16], [10, 12, 16], [10, 12, 16]]), dtype=np.int64),
|
||
|
|
Box(low=0, high=1, shape=(4, 19), dtype=np.int8),
|
||
|
|
Dict({
|
||
|
|
'position': MultiDiscrete([23, 23, 23, 23]),
|
||
|
|
'velocity': Box(low=0., high=1., shape=(4, 1), dtype=np.float32)
|
||
|
|
}),
|
||
|
|
Dict({
|
||
|
|
'position': Dict({'x': MultiDiscrete([29, 29, 29, 29]), 'y': MultiDiscrete([31, 31, 31, 31])}),
|
||
|
|
'velocity': Tuple((MultiDiscrete([37, 37, 37, 37]), Box(low=0, high=255, shape=(4,), dtype=np.uint8)))
|
||
|
|
})
|
||
|
|
]
|
||
|
|
|
||
|
|
@pytest.mark.parametrize('space,expected_batch_space_4', list(zip(spaces,
|
||
|
|
expected_batch_spaces_4)), ids=[space.__class__.__name__ for space in spaces])
|
||
|
|
def test_batch_space(space, expected_batch_space_4):
|
||
|
|
batch_space_4 = batch_space(space, n=4)
|
||
|
|
assert batch_space_4 == expected_batch_space_4
|