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121 lines
4.1 KiB
Python
121 lines
4.1 KiB
Python
"""Tests for Group Anagrams questions generation"""
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import json
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import pytest
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from reasoning_gym.algorithmic.group_anagrams import GroupAnagramsConfig, GroupAnagramsDataset
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def test_group_anagrams_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 = GroupAnagramsConfig(anagram_groups=-1) # Negative not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = GroupAnagramsConfig(anagram_groups=0) # Zero not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = GroupAnagramsConfig(max_words_per_group=-1) # Negative not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = GroupAnagramsConfig(max_words_per_group=0) # Zero not allowed
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config.validate()
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def test_group_anagrams_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = GroupAnagramsConfig(seed=42, size=10)
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dataset1 = GroupAnagramsDataset(config)
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dataset2 = GroupAnagramsDataset(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_group_anagrams_dataset_items():
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"""Test basic properties of generated items"""
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config = GroupAnagramsConfig(anagram_groups=5, max_words_per_group=3, size=10, seed=42)
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dataset = GroupAnagramsDataset(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 "words" in item["metadata"]
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assert "solution" in item["metadata"]
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words = item["metadata"]["words"]
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solution = item["metadata"]["solution"]
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# Verify list dimensions
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assert len(words) > 5
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assert len(solution) == 5
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assert all(len(group) <= 3 for group in solution)
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def test_group_anagrams_dataset_iteration():
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"""Test that iteration respects dataset size"""
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config = GroupAnagramsConfig(size=5, seed=42)
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dataset = GroupAnagramsDataset(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_group_anagrams_answer():
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"""Test the _group_anagrams method"""
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config = GroupAnagramsConfig(seed=42)
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dataset = GroupAnagramsDataset(config)
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# General use case
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words = ["eat", "tea", "tan", "ate", "nat", "bat"]
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correct = [["ate", "eat", "tea"], ["bat"], ["nat", "tan"]]
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assert json.dumps(dataset._group_anagrams(words)) == json.dumps(correct)
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# Single word
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words = ["a"]
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correct = [["a"]]
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assert json.dumps(dataset._group_anagrams(words)) == json.dumps(correct)
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# Empty list
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words = []
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correct = []
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assert json.dumps(dataset._group_anagrams(words)) == json.dumps(correct)
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def test_group_anagrams_score_answer():
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"""Test the score_answer method"""
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config = GroupAnagramsConfig(seed=42)
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dataset = GroupAnagramsDataset(config)
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# Verify the scoring function is permutation invariant
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answer = json.dumps([["bat"], ["nat", "tan"], ["ate", "eat", "tea"]])
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item = {"metadata": {"solution": [["ate", "eat", "tea"], ["bat"], ["nat", "tan"]]}}
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assert dataset.score_answer(answer, item) == 1
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# Verify the score is 0.01 when incorrect
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answer = json.dumps([["ate", "eat"], ["bat", "tea"], ["nat", "tan"]])
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item = {"metadata": {"solution": [["ate", "eat", "tea"], ["bat"], ["nat", "tan"]]}}
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assert dataset.score_answer(answer, item) == 0.01
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# Verify the score is 0 when answer is None
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answer = None
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item = {"metadata": {"solution": [["ate", "eat", "tea"], ["bat"], ["nat", "tan"]]}}
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assert dataset.score_answer(answer, item) == 0
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# Verify the score is 0 when answer is malformed JSON
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answer = '["ate", "eat", "tea"], ["bat"], ["nat", "tan"]'
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item = {"metadata": {"solution": [["ate", "eat", "tea"], ["bat"], ["nat", "tan"]]}}
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assert dataset.score_answer(answer, item) == 0
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