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https://github.com/open-thought/reasoning-gym.git
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116 lines
3.9 KiB
Python
116 lines
3.9 KiB
Python
"""Tests for Ransom Note questions generation"""
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import json
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import pytest
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from reasoning_gym.algorithmic.ransom_note import RansomNoteConfig, RansomNoteDataset
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def test_ransom_note_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 = RansomNoteConfig(max_note_length=-1) # Negative not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = RansomNoteConfig(max_note_length=0) # Zero not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = RansomNoteConfig(max_magazine_length=-1) # Negative not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = RansomNoteConfig(max_magazine_length=0) # Zero not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = RansomNoteConfig(max_magazine_length=1) # One not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = RansomNoteConfig(
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max_note_length=3, max_magazine_length=2
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) # max_note_length must be less than max_magazine_length
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config.validate()
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with pytest.raises(AssertionError):
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config = RansomNoteConfig(p_solvable=-0.01) # p_solvable must be between 0 and 1
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config.validate()
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with pytest.raises(AssertionError):
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config = RansomNoteConfig(p_solvable=1.01) # p_solvable must be between 0 and 1
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config.validate()
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def test_ransom_note_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = RansomNoteConfig(seed=42, size=10)
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dataset1 = RansomNoteDataset(config)
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dataset2 = RansomNoteDataset(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 = RansomNoteConfig(max_note_length=10, max_magazine_length=30, size=10, seed=42)
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dataset = RansomNoteDataset(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 "ransom_note" in item["metadata"]
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assert "magazine" in item["metadata"]
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assert "solution" in item["metadata"]
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assert "solvable" in item["metadata"]
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ransom_note = item["metadata"]["ransom_note"]
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magazine = item["metadata"]["magazine"]
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solution = item["metadata"]["solution"]
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solvable = item["metadata"]["solvable"]
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# Verify dimensions
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assert len(ransom_note) <= config.max_note_length
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assert len(ransom_note) <= len(magazine)
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assert len(magazine) <= config.max_magazine_length
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assert solution == solvable
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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="gibberish", entry=item) == 0.01
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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def test_ransom_note_dataset_iteration():
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"""Test that iteration respects dataset size"""
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config = RansomNoteConfig(size=5, seed=42)
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dataset = RansomNoteDataset(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_ransom_note_answer():
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"""Test the _can_construct method"""
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config = RansomNoteConfig(seed=42)
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dataset = RansomNoteDataset(config)
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# Correct solution
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ransom_note, magazine = "ab", "badhergh"
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assert dataset._can_construct(ransom_note, magazine) == True
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# Inorrect solution
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ransom_note, magazine = "az", "badhergh"
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assert dataset._can_construct(ransom_note, magazine) == False
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