Fix: test/test_replanning_sequencing.py still referenced old fancy_gym.make
(No longer exists as we now just use gym.make)
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@ -5,7 +5,7 @@ from typing import Tuple, Type, Union, Optional
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import gymnasium as gym
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import gymnasium as gym
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import numpy as np
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import numpy as np
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import pytest
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import pytest
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from gymnasium import register
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from gymnasium import register, make
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from gymnasium.core import ActType, ObsType
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from gymnasium.core import ActType, ObsType
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from gymnasium import spaces
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from gymnasium import spaces
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@ -68,7 +68,7 @@ def setup():
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def test_learn_sub_trajectories(mp_type: str, env_wrap: Tuple[str, Type[RawInterfaceWrapper]],
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def test_learn_sub_trajectories(mp_type: str, env_wrap: Tuple[str, Type[RawInterfaceWrapper]],
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add_time_aware_wrapper_before: bool):
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add_time_aware_wrapper_before: bool):
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env_id, wrapper_class = env_wrap
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env_id, wrapper_class = env_wrap
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env_step = TimeAwareObservation(ensure_finite_time(fancy_gym.make(env_id, SEED), MAX_STEPS_FALLBACK))
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env_step = TimeAwareObservation(ensure_finite_time(make(env_id, SEED), MAX_STEPS_FALLBACK))
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wrappers = [wrapper_class]
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wrappers = [wrapper_class]
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# has time aware wrapper
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# has time aware wrapper
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@ -117,7 +117,7 @@ def test_learn_sub_trajectories(mp_type: str, env_wrap: Tuple[str, Type[RawInter
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def test_replanning_time(mp_type: str, env_wrap: Tuple[str, Type[RawInterfaceWrapper]],
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def test_replanning_time(mp_type: str, env_wrap: Tuple[str, Type[RawInterfaceWrapper]],
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add_time_aware_wrapper_before: bool, replanning_time: int):
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add_time_aware_wrapper_before: bool, replanning_time: int):
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env_id, wrapper_class = env_wrap
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env_id, wrapper_class = env_wrap
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env_step = TimeAwareObservation(ensure_finite_time(fancy_gym.make(env_id, SEED), MAX_STEPS_FALLBACK))
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env_step = TimeAwareObservation(ensure_finite_time(make(env_id, SEED), MAX_STEPS_FALLBACK))
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wrappers = [wrapper_class]
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wrappers = [wrapper_class]
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# has time aware wrapper
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# has time aware wrapper
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