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https://github.com/open-thought/reasoning-gym.git
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fa2b04f4de
* advanced geometry curriculum * metadata --------- Co-authored-by: Andreas Köpf <andreas.koepf@xamla.com>
112 lines
4.1 KiB
Python
112 lines
4.1 KiB
Python
import pytest
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from reasoning_gym.geometry.advanced_geometry import (
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AdvancedGeometryConfig,
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AdvancedGeometryCurriculum,
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AdvancedGeometryDataset,
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)
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def test_advanced_geometry_config_validation():
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"""Test that invalid configs raise appropriate errors."""
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# min_coord >= max_coord
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with pytest.raises(AssertionError):
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config = AdvancedGeometryConfig(min_coord=5, max_coord=5)
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config.validate()
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with pytest.raises(AssertionError):
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config = AdvancedGeometryConfig(min_coord=10, max_coord=0)
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config.validate()
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# size <= 0
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with pytest.raises(AssertionError):
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config = AdvancedGeometryConfig(size=0)
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config.validate()
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# Empty task_types
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with pytest.raises(AssertionError):
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config = AdvancedGeometryConfig(task_types=[])
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config.validate()
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def test_advanced_geometry_dataset_deterministic():
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"""Test the dataset generates the same items with the same seed."""
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config = AdvancedGeometryConfig(min_coord=-5, max_coord=5, size=5, seed=42)
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dataset1 = AdvancedGeometryDataset(config)
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dataset2 = AdvancedGeometryDataset(config)
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for i in range(len(dataset1)):
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assert dataset1[i] == dataset2[i], (
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f"Item mismatch at index {i} for same seed. " f"Dataset1: {dataset1[i]} vs Dataset2: {dataset2[i]}"
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)
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def test_advanced_geometry_dataset_items():
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"""Test basic properties of generated items."""
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config = AdvancedGeometryConfig(min_coord=-3, max_coord=3, size=5, seed=123)
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dataset = AdvancedGeometryDataset(config)
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for i in range(len(dataset)):
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item = dataset[i]
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# Check structure
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assert isinstance(item, dict), "Generated item must be a dictionary."
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assert "question" in item, "Item must contain a 'question' key."
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assert "answer" in item, "Item must contain an 'answer' key."
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assert "metadata" in item, "Item must contain a 'metadata' key."
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# Basic metadata checks
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metadata = item["metadata"]
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assert (
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"A" in metadata and "B" in metadata and "C" in metadata
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), "Metadata should contain coordinates for points A, B, and C."
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# Check answer format depending on task type
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# For angle measure tasks, answer should end with '°'
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if "angle_measure" in item["question"].lower() or "angle at" in item["question"].lower():
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assert item["answer"].endswith("°"), f"Expected angle measure in degrees, got {item['answer']}"
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def test_advanced_geometry_dataset_iteration():
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"""Test that iteration respects dataset size and is repeatable."""
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config = AdvancedGeometryConfig(min_coord=-2, max_coord=2, size=3, seed=999)
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dataset = AdvancedGeometryDataset(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 = list(dataset)
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assert len(items_list) == config.size, "List conversion should yield exactly 'size' items."
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# Test multiple iterations produce the same results
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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 the same items."
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def test_advanced_geometry_curriculum():
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curriculum = AdvancedGeometryCurriculum()
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base_value = {"size": 150, "seed": 1}
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base_cfg: AdvancedGeometryConfig = 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_coord == -10
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assert base_cfg.max_coord == 10
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# test incrementing attribute levels
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curriculum.increment_attr_level("min_coord")
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curriculum.increment_attr_level("max_coord")
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increased_cfg = curriculum.generate_configuration(base_value)
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assert increased_cfg.min_coord == -100
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assert increased_cfg.max_coord == 100
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# test decrementing attribute level
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curriculum.decrement_attr_level("min_coord")
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partially_decreased_cfg = curriculum.generate_configuration(base_value)
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assert partially_decreased_cfg.min_coord == -10
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assert partially_decreased_cfg.max_coord == 100
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