The source code and dockerfile for the GSW2024 AI Lab.
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"""Finds all the specs that we can test with""" from __future__ import annotations
import gymnasium as gym import numpy as np
all_testing_env_specs = [ env_spec for env_spec in gym.envs.registry.values() if ( isinstance(env_spec.entry_point, str) and env_spec.entry_point.startswith("minigrid.envs") ) ]
minigrid_testing_env_specs = [ env_spec for env_spec in all_testing_env_specs if not env_spec.entry_point.startswith("minigrid.envs.babyai") ]
def assert_equals(a, b, prefix=None): """Assert equality of data structures `a` and `b`.
Args: a: first data structure b: second data structure prefix: prefix for failed assertion message for types and dicts """
assert type(a) == type(b), f"{prefix}Differing types: {a} and {b}" if isinstance(a, dict): assert list(a.keys()) == list(b.keys()), f"{prefix}Key sets differ: {a} and {b}"
for k in a.keys(): v_a = a[k] v_b = b[k] assert_equals(v_a, v_b) elif isinstance(a, np.ndarray): np.testing.assert_array_equal(a, b) elif isinstance(a, tuple): for elem_from_a, elem_from_b in zip(a, b): assert_equals(elem_from_a, elem_from_b) else: assert a == b
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