mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-19 12:58:07 +00:00
5d7fbac0ad
* math prompt improvements * ignore brackets in complex_arithmetic results * improve additional instruction in prompt of polynomial_equations * more strict tests for score_answer in polynomial_equations * simplify special reward handling * fix test_intermediate_integration * fix sokoban dataset * add common dataset score_answer consistency test
87 lines
2.7 KiB
Python
87 lines
2.7 KiB
Python
import pytest
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from reasoning_gym.arc.board_format import format_board
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from reasoning_gym.arc.rearc import ReArcConfig, ReArcDataset
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def test_rearc_config_validation():
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"""Test validation of ReArc configuration parameters"""
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with pytest.raises(AssertionError):
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ReArcConfig(diff_lb=0.5, diff_ub=0.3).validate()
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with pytest.raises(AssertionError):
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ReArcConfig(size=0).validate()
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def test_rearc_deterministic():
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"""Test dataset reproducibility with fixed seed"""
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config = ReArcConfig(seed=42, size=100, diff_lb=0, diff_ub=1)
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ds1 = ReArcDataset(config)
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ds2 = ReArcDataset(config)
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for i in range(len(ds1)):
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assert ds1[i] == ds2[i], "ReArc datasets with same seed should match exactly"
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def test_rearc_items():
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"""Test basic structure and metadata of generated items"""
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config = ReArcConfig(seed=42, size=100, diff_lb=0, diff_ub=1)
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dataset = ReArcDataset(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
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assert "answer" in item
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assert "metadata" in item
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meta = item["metadata"]
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assert "input" in meta
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assert "output" in meta
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assert "task_id" in meta
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assert "rng" in meta["difficulty"]
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assert "pso" in meta["difficulty"]
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# Validate difficulty bounds
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assert config.diff_lb <= meta["difficulty"]["rng"] <= config.diff_ub
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assert config.diff_lb <= meta["difficulty"]["pso"] <= config.diff_ub
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def test_rearc_solution_validation():
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"""Test solution verification and scoring"""
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config = ReArcConfig(size=100, seed=123)
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dataset = ReArcDataset(config)
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for item in dataset:
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# Test correct solution
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correct = format_board(item["metadata"]["output"], dataset.board_format_opts)
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assert dataset.score_answer(correct, entry=item) == 1.0
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# Test invalid format
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invalid_grid = """
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9 9 9
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1 2 1
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7 8 7
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0 0 0
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"""
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assert dataset.score_answer(invalid_grid, entry=item) == 0.05
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# Test empty answer
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assert dataset.score_answer(None, entry=item) == 0.0
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def test_rearc_scoring_edge_cases():
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"""Test scoring for partial and malformed answers"""
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config = ReArcConfig(size=100, seed=456)
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dataset = ReArcDataset(config)
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for item in dataset:
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# Partial match
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partial = format_board([[0, 0], [0, 0]], dataset.board_format_opts)
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assert 0.0 < dataset.score_answer(partial, entry=item) < 1.0
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# Malformed answer
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assert dataset.score_answer("[[invalid", entry=item) == 0.0
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# Case sensitivity
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answer = format_board(item["metadata"]["output"], dataset.board_format_opts).lower()
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assert dataset.score_answer(answer, entry=item) == 1.0
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