mirror of
https://github.com/open-thought/reasoning-gym.git
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d1e505a8e9
* notebook for prepping first set of raw code files * updated codeio processing notebook for repo-level processing * fix for edge case in codeio scoring * Add reformat notebook * filtering pass * add non-determinism filtering * Tweak CodeIODataset & include first real data * add basic codeio test, metadata
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import pytest
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from reasoning_gym.code.codeio import CodeIOConfig, CodeIODataset
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def test_codeio_dataset():
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# Create a small CodeI/O reasoning dataset
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config = CodeIOConfig(size=10, seed=42)
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dataset = CodeIODataset(config)
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for i in range(10):
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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 "metadata" in item
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assert "input_data" in item["metadata"]
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assert "output_data" in item["metadata"]
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# Score some correct and incorrect answers
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score = dataset.score_answer(answer=item["answer"], entry=item)
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assert score == 1.0
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# Incorrect answer (None)
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score = dataset.score_answer(answer=None, entry=item)
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assert score == 0.00
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# Incorrect answer (empty dict)
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score = dataset.score_answer(answer="{}", entry=item)
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assert score == 0.01
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def test_codeio_config():
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# Test constraints on input probability
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with pytest.raises(AssertionError):
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CodeIOConfig(size=10, seed=42, input_prediction_probability=1.1).validate()
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with pytest.raises(AssertionError):
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CodeIOConfig(size=10, seed=42, input_prediction_probability=-0.1).validate()
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CodeIOConfig(size=10, seed=42, input_prediction_probability=0.1).validate()
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CodeIOConfig(size=10, seed=42, input_prediction_probability=0.9).validate()
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