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
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
import pytest
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from reasoning_gym.games.sokoban import SokobanConfig, SokobanDataset
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def test_sokoban():
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"""Test basic properties and solution of generated items"""
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dataset = SokobanDataset(SokobanConfig(size=10, seed=1234))
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for i, item in enumerate(dataset):
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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# Easy
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config = SokobanConfig(seed=42, size=20)
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dataset = SokobanDataset(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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# Test the scoring
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer="RU", entry=item) == 0.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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# Hard
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config = SokobanConfig(
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seed=42, min_h=15, max_h=20, min_w=15, max_w=20, min_boxes=10, max_boxes=15, size=3, max_depth=90
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)
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dataset = SokobanDataset(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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# Test the scoring
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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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# min == max ranges
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config = SokobanConfig(
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seed=42, min_h=11, max_h=11, min_w=11, max_w=11, min_boxes=11, max_boxes=11, size=3, max_depth=60
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)
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dataset = SokobanDataset(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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# Test the scoring
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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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