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test_MultiProcess.py
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test_MultiProcess.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 warnings
from grid2op.tests.helper_path_test import *
import grid2op
from grid2op.Environment import BaseMultiProcessEnvironment
from grid2op.Environment import SingleEnvMultiProcess
from grid2op.Environment import MultiEnvMultiProcess
from grid2op.MakeEnv import make
from grid2op.Observation import CompleteObservation
import pdb
class TestBaseMultiProcessEnvironment(unittest.TestCase):
def test_creation_multienv(self):
nb_env = 2
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
envs = [env for _ in range(nb_env)]
multi_envs = BaseMultiProcessEnvironment(envs)
obss, rewards, dones, infos = multi_envs.step(
[env.action_space() for _ in range(multi_envs.nb_env)]
)
for ob in obss:
assert isinstance(ob, CompleteObservation)
obss = multi_envs.reset()
for ob in obss:
assert isinstance(ob, CompleteObservation)
# test some actions will not throw errors
multi_envs.set_ff(7 * 288)
multi_envs.set_chunk_size(128)
obss = multi_envs.reset()
seeds = multi_envs.get_seeds()
multi_envs.close()
def test_seeding(self):
nb_env = 2
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
envs = [env for _ in range(nb_env)]
env.seed(2)
multi_envs1 = BaseMultiProcessEnvironment(envs)
seeds_1 = multi_envs1.get_seeds()
multi_envs1.close()
multi_envs2 = BaseMultiProcessEnvironment(envs)
seeds_2 = multi_envs2.get_seeds()
multi_envs2.close()
env.seed(2)
multi_envs3 = BaseMultiProcessEnvironment(envs)
seeds_3 = multi_envs3.get_seeds()
multi_envs3.close()
assert np.all(seeds_1 == seeds_3)
assert np.any(seeds_1 != seeds_2)
def test_simulate(self):
env_name = "l2rpn_case14_sandbox"
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env1 = grid2op.make(env_name, test=True)
env2 = grid2op.make(env_name, test=True)
multi_env = BaseMultiProcessEnvironment([env1, env2])
obss = multi_env.reset()
# simulate
actions = [env1.action_space(), env2.action_space()]
sim_obss, sim_rs, sim_ds, sim_is = multi_env.simulate(actions)
multi_env.close()
env1.close()
env2.close()
class TestSingleEnvMultiProcess(unittest.TestCase):
def test_creation_multienv(self):
nb_env = 2
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
multi_envs = SingleEnvMultiProcess(env=env, nb_env=nb_env)
obss, rewards, dones, infos = multi_envs.step(
[env.action_space() for _ in range(multi_envs.nb_env)]
)
for ob in obss:
assert isinstance(ob, CompleteObservation)
obss = multi_envs.reset()
for ob in obss:
assert isinstance(ob, CompleteObservation)
# test some actions will not throw errors
multi_envs.set_ff(7 * 288)
multi_envs.set_chunk_size(128)
obss = multi_envs.reset()
seeds = multi_envs.get_seeds()
multi_envs.close()
def test_seeding(self):
nb_env = 2
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
env.seed(2)
multi_envs1 = SingleEnvMultiProcess(env=env, nb_env=nb_env)
seeds_1 = multi_envs1.get_seeds()
multi_envs1.close()
multi_envs2 = SingleEnvMultiProcess(env=env, nb_env=nb_env)
seeds_2 = multi_envs2.get_seeds()
multi_envs2.close()
env.seed(2)
multi_envs3 = SingleEnvMultiProcess(env=env, nb_env=nb_env)
seeds_3 = multi_envs3.get_seeds()
multi_envs3.close()
assert np.all(seeds_1 == seeds_3)
assert np.any(seeds_1 != seeds_2)
class TestMultiEnvMultiProcess(unittest.TestCase):
def test_creation_multienv(self):
nb_envs = [1, 1]
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
envs = [env for _ in range(len(nb_envs))]
multi_envs = MultiEnvMultiProcess(envs, nb_envs)
obss, rewards, dones, infos = multi_envs.step(
[env.action_space() for _ in range(multi_envs.nb_env)]
)
for ob in obss:
assert isinstance(ob, CompleteObservation)
obss = multi_envs.reset()
for ob in obss:
assert isinstance(ob, CompleteObservation)
# test some actions will not throw errors
multi_envs.set_ff(7 * 288)
multi_envs.set_chunk_size(128)
obss = multi_envs.reset()
seeds = multi_envs.get_seeds()
multi_envs.close()
def test_seeding(self):
nb_envs = [1, 1]
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
with make("rte_case5_example", test=True) as env:
envs = [env for _ in range(len(nb_envs))]
env.seed(2)
multi_envs1 = MultiEnvMultiProcess(envs, nb_envs)
seeds_1 = multi_envs1.get_seeds()
multi_envs1.close()
multi_envs2 = MultiEnvMultiProcess(envs, nb_envs)
seeds_2 = multi_envs2.get_seeds()
multi_envs2.close()
env.seed(2)
multi_envs3 = MultiEnvMultiProcess(envs, nb_envs)
seeds_3 = multi_envs3.get_seeds()
multi_envs3.close()
assert np.all(seeds_1 == seeds_3)
assert np.any(seeds_1 != seeds_2)
if __name__ == "__main__":
unittest.main()