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https://github.com/open-thought/reasoning-gym.git
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a7dd5f6680
* added power function exponent * register PowerFunctionCurriculum --------- Co-authored-by: Andreas Koepf <andreas.koepf@provisio.com>
84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
"""Tests for Power Function questions generation"""
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import pytest
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from reasoning_gym.arithmetic import PowerFunctionConfig, PowerFunctionDataset
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def test_power_function_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = PowerFunctionConfig(seed=42, size=10)
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dataset1 = PowerFunctionDataset(config)
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dataset2 = PowerFunctionDataset(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_power_function_dataset_items():
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"""Test basic properties of generated items"""
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config = PowerFunctionConfig(min_base=-100, max_base=-100, min_exponent=-10, max_exponent=10, size=10, seed=42)
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dataset = PowerFunctionDataset(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 "base" in item["metadata"]
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assert "exponent" in item["metadata"]
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base = item["metadata"]["base"]
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exponent = item["metadata"]["exponent"]
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solution = item["metadata"]["solution"]
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# Verify values
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assert config.min_base <= base <= config.max_base
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assert config.min_exponent <= exponent <= config.max_exponent
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assert solution == pow(base, exponent)
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def test_power_function_dataset_iteration():
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"""Test that iteration respects dataset size"""
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config = PowerFunctionConfig(size=5, seed=42)
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dataset = PowerFunctionDataset(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_power_function_score_function():
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"""Test score function"""
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config = PowerFunctionConfig(seed=42)
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dataset = PowerFunctionDataset(config)
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for item in dataset:
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answer = item["answer"]
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assert dataset.score_answer(answer, item) == 1.0
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def test_power_function_curriculum():
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"""Test PowerFunctionCurriculum configuration generation and attribute manipulation"""
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from reasoning_gym.arithmetic import PowerFunctionCurriculum
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curriculum = PowerFunctionCurriculum()
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base_value = {"size": 150, "seed": 1}
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base_cfg = curriculum.generate_configuration(base_value)
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assert base_cfg.seed == 1
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assert base_cfg.size == 150
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assert base_cfg.min_exponent == 2 and base_cfg.max_exponent == 2
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# Test incrementing attribute levels for exponent & base attributes
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curriculum.increment_attr_level("exponent")
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increased_cfg = curriculum.generate_configuration(base_value)
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assert increased_cfg.min_exponent == 2 and increased_cfg.max_exponent == 4
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