Fix: Many tests still tried to seed during make
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6787b02bbd
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0fb0506e49
@ -79,7 +79,8 @@ def test_learn_sub_trajectories(mp_type: str, env_wrap: Tuple[str, Type[RawInter
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{'trajectory_generator_type': mp_type},
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{'controller_type': 'motor'},
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{'phase_generator_type': 'exp'},
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{'basis_generator_type': 'rbf'}, seed=SEED, fallback_max_steps=MAX_STEPS_FALLBACK)
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{'basis_generator_type': 'rbf'}, fallback_max_steps=MAX_STEPS_FALLBACK)
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env.reset(seed=SEED)
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assert env.learn_sub_trajectories
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assert env.spec.max_episode_steps
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@ -132,7 +133,8 @@ def test_replanning_time(mp_type: str, env_wrap: Tuple[str, Type[RawInterfaceWra
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{'trajectory_generator_type': mp_type},
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{'controller_type': 'motor'},
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{'phase_generator_type': phase_generator_type},
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{'basis_generator_type': basis_generator_type}, seed=SEED, fallback_max_steps=MAX_STEPS_FALLBACK)
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{'basis_generator_type': basis_generator_type}, fallback_max_steps=MAX_STEPS_FALLBACK)
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env.reset(seed=SEED)
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assert env.do_replanning
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assert env.spec.max_episode_steps
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@ -181,7 +183,8 @@ def test_max_planning_times(mp_type: str, max_planning_times: int, sub_segment_s
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},
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{'basis_generator_type': basis_generator_type,
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},
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seed=SEED, fallback_max_steps=MAX_STEPS_FALLBACK)
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fallback_max_steps=MAX_STEPS_FALLBACK)
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_ = env.reset(seed=SEED)
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done = False
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planning_times = 0
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@ -213,7 +216,8 @@ def test_replanning_with_learn_tau(mp_type: str, max_planning_times: int, sub_se
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},
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{'basis_generator_type': basis_generator_type,
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},
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seed=SEED, fallback_max_steps=MAX_STEPS_FALLBACK)
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fallback_max_steps=MAX_STEPS_FALLBACK)
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_ = env.reset(seed=SEED)
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done = False
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planning_times = 0
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@ -246,7 +250,8 @@ def test_replanning_with_learn_delay(mp_type: str, max_planning_times: int, sub_
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},
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{'basis_generator_type': basis_generator_type,
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},
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seed=SEED, fallback_max_steps=MAX_STEPS_FALLBACK)
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fallback_max_steps=MAX_STEPS_FALLBACK)
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_ = env.reset(seed=SEED)
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done = False
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planning_times = 0
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@ -301,7 +306,8 @@ def test_replanning_with_learn_delay_and_tau(mp_type: str, max_planning_times: i
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},
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{'basis_generator_type': basis_generator_type,
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},
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seed=SEED, fallback_max_steps=MAX_STEPS_FALLBACK)
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fallback_max_steps=MAX_STEPS_FALLBACK)
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_ = env.reset(seed=SEED)
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done = False
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planning_times = 0
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@ -350,7 +356,8 @@ def test_replanning_schedule(mp_type: str, max_planning_times: int, sub_segment_
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},
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{'basis_generator_type': basis_generator_type,
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},
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seed=SEED, fallback_max_steps=MAX_STEPS_FALLBACK)
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fallback_max_steps=MAX_STEPS_FALLBACK)
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_ = env.reset(seed=SEED)
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for i in range(max_planning_times):
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action = env.action_space.sample()
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@ -22,7 +22,7 @@ def run_env(env_id: str, iterations: int = None, seed: int = 0, wrappers: List[T
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Returns: observations, rewards, terminations, truncations, actions
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"""
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env: gym.Env = make(env_id, seed=seed)
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env: gym.Env = make(env_id)
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for w in wrappers:
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env = w(env)
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rewards = []
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