Gymnasium/gym/vector/tests/test_spaces.py

import pytest
import numpy as np

from gym.spaces import Box, MultiDiscrete, Tuple, Dict
from gym.vector.tests.utils import spaces, custom_spaces, CustomSpace

from gym.vector.utils.spaces import _BaseGymSpaces, batch_space

expected_batch_spaces_4 = [
    Box(low=-1.0, high=1.0, shape=(4,), dtype=np.float64),
    Box(low=0.0, high=10.0, shape=(4, 1), dtype=np.float32),
    Box(
        low=np.array(
            [[-1.0, 0.0, 0.0], [-1.0, 0.0, 0.0], [-1.0, 0.0, 0.0], [-1.0, 0.0, 0.0]]
        ),
        high=np.array(
            [[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0]]
        ),
        dtype=np.float32,
    ),
    Box(
        low=np.array(
            [
                [[-1.0, 0.0], [0.0, -1.0]],
                [[-1.0, 0.0], [0.0, -1.0]],
                [[-1.0, 0.0], [0.0, -1]],
                [[-1.0, 0.0], [0.0, -1.0]],
            ]
        ),
        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([[0.0, -1.0], [0.0, -1.0], [0.0, -1.0], [0.0, -1]]),
                high=np.array([[1.0, 1.0], [1.0, 1.0], [1.0, 1.0], [1.0, 1.0]]),
                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=0.0, high=1.0, 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),
                )
            ),
        }
    ),
]

expected_custom_batch_spaces_4 = [
    Tuple((CustomSpace(), CustomSpace(), CustomSpace(), CustomSpace())),
    Tuple(
        (
            Tuple((CustomSpace(), CustomSpace(), CustomSpace(), CustomSpace())),
            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


@pytest.mark.parametrize(
    "space,expected_batch_space_4",
    list(zip(custom_spaces, expected_custom_batch_spaces_4)),
    ids=[space.__class__.__name__ for space in custom_spaces],
)
def test_batch_space_custom_space(space, expected_batch_space_4):
    batch_space_4 = batch_space(space, n=4)
    assert batch_space_4 == expected_batch_space_4