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| 1 | +# Copyright (c) 2024, RTE (https://www.rte-france.com) |
| 2 | +# See AUTHORS.txt |
| 3 | +# This Source Code Form is subject to the terms of the Mozilla Public License, version 2.0. |
| 4 | +# If a copy of the Mozilla Public License, version 2.0 was not distributed with this file, |
| 5 | +# you can obtain one at http://mozilla.org/MPL/2.0/. |
| 6 | +# SPDX-License-Identifier: MPL-2.0 |
| 7 | +# This file is part of Grid2Op, Grid2Op a testbed platform to model sequential decision making in power systems. |
| 8 | + |
| 9 | +import os |
| 10 | +import warnings |
| 11 | +import unittest |
| 12 | +import grid2op |
| 13 | +from grid2op.utils import ScoreL2RPN2020 |
| 14 | +from grid2op.Agent import DoNothingAgent |
| 15 | + |
| 16 | + |
| 17 | +class Issue591Tester(unittest.TestCase): |
| 18 | + def setUp(self) -> None: |
| 19 | + self.max_iter = 10 |
| 20 | + return super().setUp() |
| 21 | + |
| 22 | + def test_issue_591(self): |
| 23 | + with warnings.catch_warnings(): |
| 24 | + warnings.filterwarnings("ignore") |
| 25 | + env = grid2op.make("rte_case5_example", test=True) |
| 26 | + |
| 27 | + ch_patterns = env.chronics_handler.reset() |
| 28 | + ch_patterns = ch_patterns.tolist() |
| 29 | + ch_patterns = ch_patterns[17:19] |
| 30 | + |
| 31 | + nb_scenario = len(ch_patterns) |
| 32 | + agent = DoNothingAgent(env.action_space) |
| 33 | + handler = env.chronics_handler |
| 34 | + handler.set_filter(lambda path: path in ch_patterns) |
| 35 | + chronics = handler.reset() |
| 36 | + |
| 37 | + |
| 38 | + scorer_2020 = ScoreL2RPN2020( |
| 39 | + env, |
| 40 | + max_step=1, |
| 41 | + nb_scenario=1, |
| 42 | + env_seeds=[0 for _ in range(1)], |
| 43 | + agent_seeds=[0 for _ in range(1)], |
| 44 | + ) |
| 45 | + scorer_2020.clear_all() |
| 46 | + scorer_2020 = ScoreL2RPN2020( |
| 47 | + env, |
| 48 | + max_step=self.max_iter, |
| 49 | + nb_scenario=nb_scenario, |
| 50 | + env_seeds=[0 for _ in range(nb_scenario)], |
| 51 | + agent_seeds=[0 for _ in range(nb_scenario)], |
| 52 | + ) |
| 53 | + try: |
| 54 | + score_2020 = scorer_2020.get(agent) |
| 55 | + finally: |
| 56 | + scorer_2020.clear_all() |
| 57 | + for scen_path, score, ts_survived, total_ts in zip(ch_patterns, *score_2020): |
| 58 | + assert total_ts == self.max_iter, f"wrong number of ts {total_ts} vs {self.max_iter}" |
| 59 | + |
| 60 | + |
| 61 | +if __name__ == "__main__": |
| 62 | + unittest.main() |
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