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https://github.com/open-thought/reasoning-gym.git
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91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
import pytest
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from reasoning_gym.algorithmic.palindrome_generation import PalindromeConfig, PalindromeDataset
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def test_palindrome_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 = PalindromeConfig(min_length=0) # Too short
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config.validate()
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with pytest.raises(AssertionError):
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config = PalindromeConfig(min_length=5, max_length=3) # Invalid range
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config.validate()
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def test_palindrome_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = PalindromeConfig(seed=42, size=10)
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dataset1 = PalindromeDataset(config)
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dataset2 = PalindromeDataset(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_palindrome_items():
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"""Test basic properties of generated items"""
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config = PalindromeConfig(min_length=3, max_length=7, size=10, seed=42)
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dataset = PalindromeDataset(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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# Check metadata contains required fields
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assert "letters" in item["metadata"]
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assert "generated_palindrome" in item["metadata"]
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# Verify answer is a palindrome
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palindrome = item["answer"]
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assert palindrome == palindrome[::-1], f"{palindrome} is not a palindrome"
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def test_palindrome_randomization():
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"""Test letter randomization in the question"""
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config = PalindromeConfig(min_length=4, max_length=4, size=10, seed=42)
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dataset = PalindromeDataset(config)
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for item in dataset:
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letters = item["metadata"]["letters"]
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palindrome = item["metadata"]["generated_palindrome"]
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# Ensure the same letters are present but in different order
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assert sorted(letters) == sorted(palindrome)
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def test_score_answer():
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"""Test the scoring mechanism for palindrome answers.
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Expected behavior:
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- Correct answer (palindrome with only correct letters in the correct quantities) gives 1.0
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- An answer that is a palindrome, but not with the same letters as provided, gives 0.05
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- An answer that is a string, but not a palindrome gives 0.02
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- An empty string gives 0.01.
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- None gives 0.0.
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"""
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config = PalindromeConfig(min_length=4, max_length=6, size=10, seed=42)
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dataset = PalindromeDataset(config)
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for item in dataset:
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correct_answer = item["answer"]
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# Correct answer should score 1.0
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assert dataset.score_answer(correct_answer, entry=item) == 1.0
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# Incorrect answer (palindrome, but not correct one) should score 0.05
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pal_letters = "racecar" if "racecar" != correct_answer else "aba"
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assert dataset.score_answer(pal_letters, entry=item) == 0.05
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# Incorrect answer (not palindrome) should score 0.02
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wrong_letters = "abcd" if "abcd" != correct_answer else "efgh"
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assert dataset.score_answer(wrong_letters, entry=item) == 0.02
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# Empty String input should score 0.01
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assert dataset.score_answer("", entry=item) == 0.01
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# Empty input should score 0.0
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assert dataset.score_answer(None, entry=item) == 0.0
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