mirror of
https://github.com/open-thought/reasoning-gym.git
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* init * fix tests * unify codeio * filtered for libraries not present in reasoning-gym * fix more bounds * puzzle24 * knight swap curriculum * fix number sorting * fix attributes * add validation of config in creation of dataset * dry run for instantiating and validating the datasets * remove unused imports * fix curriculum tests to reference newly updated attribute names
51 lines
1.9 KiB
Python
51 lines
1.9 KiB
Python
import pytest
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from reasoning_gym.cognition.modulo_grid import ModuloGridConfig, ModuloGridCurriculum, ModuloGridDataset
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def test_modulo_grid():
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"""Test basic properties and solution of generated items"""
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# Easy
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config = ModuloGridConfig(seed=42, size=50, size_x=10, size_y=10, max_divisor=10, max_target=10, max_holes=1)
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dataset = ModuloGridDataset(config)
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for item in dataset:
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assert isinstance(item, dict)
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assert "question" in item and isinstance(item["question"], str)
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assert "answer" in item and isinstance(item["answer"], str)
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assert "metadata" in item
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# Test the scoring
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assert item["question"] != item["answer"]
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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# Hard
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config = ModuloGridConfig(seed=42, size=50, size_x=25, size_y=25, max_divisor=25, max_target=25, max_holes=15)
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dataset = ModuloGridDataset(config)
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for item in dataset:
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assert isinstance(item, dict)
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assert "question" in item and isinstance(item["question"], str)
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assert "answer" in item and isinstance(item["answer"], str)
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assert "metadata" in item
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# Test the scoring
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assert item["question"] != item["answer"]
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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def test_mg_curriculum():
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curriculum = ModuloGridCurriculum()
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base_value = {"size": 150, "seed": 1}
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base_cfg: ModuloGridConfig = curriculum.generate_configuration(base_value)
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assert base_cfg.seed == 1
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assert base_cfg.size == 150
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assert base_cfg.size_x == 20
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curriculum.increment_attr_level("size_x")
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increased_cfg = curriculum.generate_configuration(base_value)
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assert increased_cfg.size_x == 40
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