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59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
"""Tests for spell backward task generation"""
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import pytest
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from reasoning_gym.algorithmic.spell_backward import SpellBackwardConfig, SpellBackwardDataset
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def test_spell_backward_config_validation():
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"""Test that invalid configs raise appropriate errors"""
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with pytest.raises(AssertionError):
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config = SpellBackwardConfig(min_word_len=0)
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config.validate()
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def test_spell_backward_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = SpellBackwardConfig(seed=42, size=10)
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dataset1 = SpellBackwardDataset(config)
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dataset2 = SpellBackwardDataset(config)
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for i in range(len(dataset1)):
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assert dataset1[i] == dataset2[i]
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def test_spell_backward_dataset_items():
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"""Test basic properties of generated items"""
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config = SpellBackwardConfig(min_word_len=3, size=10, seed=42)
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dataset = SpellBackwardDataset(config)
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for i in range(len(dataset)):
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item = dataset[i]
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# Check item structure
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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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# Check metadata
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assert "word" in item["metadata"]
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assert "word_len" in item["metadata"]
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# Verify word length constraint
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word = item["metadata"]["word"]
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assert len(word) >= config.min_word_len
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# Verify answer is correct
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assert item["answer"] == word[::-1]
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def test_spell_backward_dataset_iteration():
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"""Test that iteration respects dataset size"""
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config = SpellBackwardConfig(size=5, seed=42)
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dataset = SpellBackwardDataset(config)
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items = list(dataset)
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assert len(items) == config.size
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# Test multiple iterations yield same items
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assert items == list(dataset)
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