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test_issue_196.py
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test_issue_196.py
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# Copyright (c) 2019-2020, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# This Source Code Form is subject to the terms of the Mozilla Public License, version 2.0.
# If a copy of the Mozilla Public License, version 2.0 was not distributed with this file,
# you can obtain one at http://mozilla.org/MPL/2.0/.
# SPDX-License-Identifier: MPL-2.0
# This file is part of Grid2Op, Grid2Op a testbed platform to model sequential decision making in power systems.
import unittest
import warnings
import numpy as np
import grid2op
from grid2op.gym_compat import GymEnv
from grid2op.gym_compat import ScalerAttrConverter
class Issue196Tester(unittest.TestCase):
def setUp(self) -> None:
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = grid2op.make("l2rpn_neurips_2020_track1", test=True)
env_gym = GymEnv(env)
ob_space = env_gym.observation_space
ob_space = ob_space.keep_only_attr(["rho", "gen_p", "load_p", "topo_vect", "actual_dispatch"])
ob_space = ob_space.reencode_space("actual_dispatch",
ScalerAttrConverter(substract=0.,
divide=env.gen_pmax
)
)
ob_space = ob_space.reencode_space("gen_p",
ScalerAttrConverter(substract=0.,
divide=env.gen_pmax
)
)
ob_space = ob_space.reencode_space("load_p",
ScalerAttrConverter(substract=0.,
divide=-1.0
)
)
env_gym.observation_space = ob_space
self.env_gym = env_gym
def test_issue_196_loadp(self):
assert np.all(self.env_gym.observation_space["load_p"].low <= self.env_gym.observation_space["load_p"].high)
def test_issue_196_genp(self):
# not great test as it passes with the bug... but just in the case... cannot hurt
obs = self.env_gym.reset()
assert obs in self.env_gym.observation_space