mirror of
https://github.com/open-thought/reasoning-gym.git
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dced3bfc45
* init * fix tests * unify codeio * filtered for libraries not present in reasoning-gym * fix more bounds * puzzle24 * knight swap curriculum * fix number sorting * fix attributes * add validation of config in creation of dataset * dry run for instantiating and validating the datasets * remove unused imports * fix curriculum tests to reference newly updated attribute names
119 lines
3.6 KiB
Python
119 lines
3.6 KiB
Python
"""Tests for Count Primes questions generation"""
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import pytest
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from reasoning_gym.algorithmic.count_primes import CountPrimesConfig, CountPrimesCurriculum, CountPrimesDataset
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def test_count_primes_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 = CountPrimesConfig(max_n=-1) # Negative not allowed
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config.validate()
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with pytest.raises(AssertionError):
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config = CountPrimesConfig(max_n=0) # Zero not allowed
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config.validate()
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def test_count_primes_dataset_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = CountPrimesConfig(seed=42, size=10)
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dataset1 = CountPrimesDataset(config)
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dataset2 = CountPrimesDataset(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_count_primes_dataset_items():
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"""Test basic properties of generated items"""
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config = CountPrimesConfig(max_n=10, size=10, seed=42)
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dataset = CountPrimesDataset(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 "start" in item["metadata"]
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assert "end" in item["metadata"]
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assert "primes" in item["metadata"]
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assert "solution" in item["metadata"]
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start = item["metadata"]["start"]
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end = item["metadata"]["end"]
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primes = item["metadata"]["primes"]
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assert start <= end
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assert len(primes) <= end - start + 1
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def test_count_primes_dataset_iteration():
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"""Test that iteration respects dataset size"""
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config = CountPrimesConfig(size=5, seed=42)
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dataset = CountPrimesDataset(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_count_primes_answer():
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"""Test the _get_primes method"""
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config = CountPrimesConfig(seed=42)
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dataset = CountPrimesDataset(config)
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# Base cases
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assert dataset._get_primes(n=0) == []
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assert dataset._get_primes(n=1) == []
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assert dataset._get_primes(n=2) == [False, False]
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# Test primes up to 10
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primes = dataset._get_primes(n=11)
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assert primes[2] == True
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assert primes[3] == True
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assert primes[4] == False
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assert primes[5] == True
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assert primes[6] == False
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assert primes[7] == True
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assert primes[8] == False
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assert primes[9] == False
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assert primes[10] == False
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def test_count_primes_list():
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"""Test that list of primes was correctly generated"""
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config = CountPrimesConfig(max_n=100, size=100, seed=42)
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dataset = CountPrimesDataset(config)
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for item in dataset:
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start = item["metadata"]["start"]
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end = item["metadata"]["end"]
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primes = item["metadata"]["primes"]
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for p in primes:
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assert p >= start
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assert p <= end
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assert dataset.primes[p] == True
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def test_color_cube_curriculum():
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curriculum = CountPrimesCurriculum()
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base_value = {"size": 150, "seed": 1}
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base_cfg: CountPrimesConfig = 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_n == 10 and base_cfg.max_n == 1000
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# test incrementing attribute levels
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curriculum.increment_attr_level("n")
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increased_cfg = curriculum.generate_configuration(base_value)
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assert increased_cfg.min_n == 10 and increased_cfg.max_n == 10000
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