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135 行
4.3 KiB
135 行
4.3 KiB
import pytest
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from unittest.mock import patch, call
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from mlagents.trainers.meta_curriculum import MetaCurriculum
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from mlagents.trainers.exception import MetaCurriculumError
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class MetaCurriculumTest(MetaCurriculum):
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"""This class allows us to test MetaCurriculum objects without calling
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MetaCurriculum's __init__ function.
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"""
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def __init__(self, brains_to_curriculums):
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self._brains_to_curriculums = brains_to_curriculums
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@pytest.fixture
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def default_reset_parameters():
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return {"param1": 1, "param2": 2, "param3": 3}
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@pytest.fixture
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def more_reset_parameters():
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return {"param4": 4, "param5": 5, "param6": 6}
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@pytest.fixture
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def measure_vals():
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return {"Brain1": 0.2, "Brain2": 0.3}
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@pytest.fixture
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def reward_buff_sizes():
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return {"Brain1": 7, "Brain2": 8}
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@patch("mlagents.trainers.curriculum.Curriculum.get_config", return_value={})
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@patch("mlagents.trainers.curriculum.Curriculum.__init__", return_value=None)
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@patch("os.listdir", return_value=["Brain1.json", "Brain2.json"])
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def test_init_meta_curriculum_happy_path(
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listdir, mock_curriculum_init, mock_curriculum_get_config, default_reset_parameters
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):
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meta_curriculum = MetaCurriculum("test/")
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assert len(meta_curriculum.brains_to_curriculums) == 2
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assert "Brain1" in meta_curriculum.brains_to_curriculums
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assert "Brain2" in meta_curriculum.brains_to_curriculums
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calls = [call("test/Brain1.json"), call("test/Brain2.json")]
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mock_curriculum_init.assert_has_calls(calls)
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@patch("os.listdir", side_effect=NotADirectoryError())
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def test_init_meta_curriculum_bad_curriculum_folder_raises_error(listdir):
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with pytest.raises(MetaCurriculumError):
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MetaCurriculum("test/")
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@patch("mlagents.trainers.curriculum.Curriculum")
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@patch("mlagents.trainers.curriculum.Curriculum")
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def test_set_lesson_nums(curriculum_a, curriculum_b):
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meta_curriculum = MetaCurriculumTest(
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{"Brain1": curriculum_a, "Brain2": curriculum_b}
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)
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meta_curriculum.lesson_nums = {"Brain1": 1, "Brain2": 3}
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assert curriculum_a.lesson_num == 1
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assert curriculum_b.lesson_num == 3
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@patch("mlagents.trainers.curriculum.Curriculum")
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@patch("mlagents.trainers.curriculum.Curriculum")
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def test_increment_lessons(curriculum_a, curriculum_b, measure_vals):
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meta_curriculum = MetaCurriculumTest(
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{"Brain1": curriculum_a, "Brain2": curriculum_b}
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)
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meta_curriculum.increment_lessons(measure_vals)
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curriculum_a.increment_lesson.assert_called_with(0.2)
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curriculum_b.increment_lesson.assert_called_with(0.3)
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@patch("mlagents.trainers.curriculum.Curriculum")
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@patch("mlagents.trainers.curriculum.Curriculum")
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def test_increment_lessons_with_reward_buff_sizes(
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curriculum_a, curriculum_b, measure_vals, reward_buff_sizes
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):
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curriculum_a.min_lesson_length = 5
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curriculum_b.min_lesson_length = 10
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meta_curriculum = MetaCurriculumTest(
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{"Brain1": curriculum_a, "Brain2": curriculum_b}
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)
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meta_curriculum.increment_lessons(measure_vals, reward_buff_sizes=reward_buff_sizes)
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curriculum_a.increment_lesson.assert_called_with(0.2)
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curriculum_b.increment_lesson.assert_not_called()
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@patch("mlagents.trainers.curriculum.Curriculum")
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@patch("mlagents.trainers.curriculum.Curriculum")
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def test_set_all_curriculums_to_lesson_num(curriculum_a, curriculum_b):
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meta_curriculum = MetaCurriculumTest(
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{"Brain1": curriculum_a, "Brain2": curriculum_b}
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)
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meta_curriculum.set_all_curriculums_to_lesson_num(2)
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assert curriculum_a.lesson_num == 2
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assert curriculum_b.lesson_num == 2
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@patch("mlagents.trainers.curriculum.Curriculum")
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@patch("mlagents.trainers.curriculum.Curriculum")
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def test_get_config(
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curriculum_a, curriculum_b, default_reset_parameters, more_reset_parameters
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):
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curriculum_a.get_config.return_value = default_reset_parameters
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curriculum_b.get_config.return_value = default_reset_parameters
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meta_curriculum = MetaCurriculumTest(
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{"Brain1": curriculum_a, "Brain2": curriculum_b}
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)
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assert meta_curriculum.get_config() == default_reset_parameters
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curriculum_b.get_config.return_value = more_reset_parameters
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new_reset_parameters = dict(default_reset_parameters)
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new_reset_parameters.update(more_reset_parameters)
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assert meta_curriculum.get_config() == new_reset_parameters
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