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https://github.com/open-thought/reasoning-gym.git
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84 lines
2.5 KiB
Python
84 lines
2.5 KiB
Python
from random import Random
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import pytest
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from reasoning_gym.induction.list_functions import ListFunctionsDataset, ListFunctionsDatasetConfig
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def test_list_functions_config_validation():
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"""Test that config validation works"""
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config = ListFunctionsDatasetConfig(size=-1)
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with pytest.raises(AssertionError):
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config.validate()
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def test_list_functions_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = ListFunctionsDatasetConfig(seed=42, size=10)
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dataset1 = ListFunctionsDataset(config)
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dataset2 = ListFunctionsDataset(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_list_functions_items():
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"""Test basic properties of generated items"""
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config = ListFunctionsDatasetConfig(size=50, seed=42)
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dataset = ListFunctionsDataset(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_list_functions_iteration():
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"""Test that iteration respects dataset size"""
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config = ListFunctionsDatasetConfig(size=5, seed=42) # Small size for testing
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dataset = ListFunctionsDataset(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_list_functions_generators():
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"""Test generator loading and access"""
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config = ListFunctionsDatasetConfig()
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dataset = ListFunctionsDataset(config)
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# Test lazy loading
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assert dataset._generators is None
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_ = dataset.generators # Access to trigger loading
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assert dataset._generators is not None
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# Test generator mapping
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assert isinstance(dataset.generators, dict)
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assert len(dataset.generators) > 0
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i = 0
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rng = Random(18)
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for key in sorted(dataset.generators.keys()):
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generator = dataset.generators[key]
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assert callable(generator)
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print(i, key)
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for _ in range(10):
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x = generator(rng)
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assert isinstance(x, dict)
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i += 1
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