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75 lines
2.6 KiB
Python
75 lines
2.6 KiB
Python
import pytest
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from reasoning_gym.algorithmic.word_sequence_reversal import WordSequenceReversalConfig, WordSequenceReversalDataset
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def test_word_sequence_reversal_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 = WordSequenceReversalConfig(min_words=0)
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config.validate()
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with pytest.raises(AssertionError):
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config = WordSequenceReversalConfig(min_words=10, max_words=5)
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config.validate()
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def test_word_sequence_reversal_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = WordSequenceReversalConfig(seed=42, size=10)
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dataset1 = WordSequenceReversalDataset(config)
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dataset2 = WordSequenceReversalDataset(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_word_sequence_reversal_dataset_items():
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"""Test basic properties of generated items"""
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config = WordSequenceReversalConfig(min_words=3, max_words=6, size=10, seed=42)
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dataset = WordSequenceReversalDataset(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 "num_words" in item["metadata"]
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assert "words" in item["metadata"]
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# Verify word count constraints
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words = item["metadata"]["words"]
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assert len(words) >= config.min_words
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assert len(words) <= config.max_words
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# Verify reversal is correct
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question_words = [w.strip() for w in item["question"].split(":")[1].strip().split(",")]
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answer_words = item["answer"].split(", ")
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assert answer_words == list(reversed(question_words))
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def test_word_sequence_reversal_dataset_iteration():
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"""Test that iteration respects dataset size"""
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config = WordSequenceReversalConfig(size=5, seed=42)
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dataset = WordSequenceReversalDataset(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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def test_word_sequence_reversal_text_preprocessing():
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"""Test that text preprocessing handles edge cases"""
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config = WordSequenceReversalConfig(size=1, seed=42)
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dataset = WordSequenceReversalDataset(config)
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# Verify words were extracted from text
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assert len(dataset.words) > 0
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# Verify words contain only alphanumeric characters
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assert all(word.isalnum() for word in dataset.words)
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