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c8c3930797
* Add acre python generators * acre: improved prompt & formatting of examples, support arbitrary sizes --------- Co-authored-by: Andreas Koepf <andreas.koepf@provisio.com>
65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
import pytest
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from reasoning_gym.induction.acre.acre import ACREDataset, ACREDatasetConfig
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def test_acre_config_validation():
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"""Test that config validation works"""
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config = ACREDatasetConfig(size=-1)
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with pytest.raises(AssertionError):
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config.validate()
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def test_acre_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = ACREDatasetConfig(seed=42, size=10)
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dataset1 = ACREDataset(config)
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dataset2 = ACREDataset(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_acre_items():
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"""Test basic properties of generated items"""
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config = ACREDatasetConfig(size=50, seed=42)
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dataset = ACREDataset(config)
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for i in range(len(dataset)):
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item = dataset[i]
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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 isinstance(item["question"], str)
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assert isinstance(item["answer"], str)
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def test_acre_iteration():
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"""Test that iteration respects dataset size"""
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config = ACREDatasetConfig(size=10, seed=42) # Small size for testing
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dataset = ACREDataset(config)
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# Test manual iteration
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items = []
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for item in dataset:
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items.append(item)
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assert len(items) == config.size, "Iterator should yield exactly size items"
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# Test list conversion
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items = list(dataset)
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assert len(items) == config.size, "Iterator should yield exactly size items"
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# Test multiple iterations
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first_items = list(dataset)
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second_items = list(dataset)
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assert first_items == second_items, "Multiple iterations should yield same items"
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def test_acre_questions_generator():
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"""Test question generator loading and access"""
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config = ACREDatasetConfig(size=10, seed=42)
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dataset = ACREDataset(config)
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# Test properties of questions
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assert isinstance(dataset.questions, list)
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assert len(dataset.questions) > 0
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