mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-19 12:58:07 +00:00
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
111 lines
3.9 KiB
Python
111 lines
3.9 KiB
Python
"""Tests for leg counting task generation"""
|
|
|
|
import pytest
|
|
|
|
from reasoning_gym.arithmetic.leg_counting import ANIMALS, LegCountingConfig, LegCountingCurriculum, LegCountingDataset
|
|
|
|
|
|
def test_leg_counting_config_validation():
|
|
"""Test that invalid configs raise appropriate errors"""
|
|
with pytest.raises(AssertionError):
|
|
config = LegCountingConfig(min_animals=0)
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = LegCountingConfig(min_animals=10, max_animals=5)
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = LegCountingConfig(max_instances=0)
|
|
config.validate()
|
|
|
|
|
|
def test_leg_counting_dataset_deterministic():
|
|
"""Test that dataset generates same items with same seed"""
|
|
config = LegCountingConfig(seed=42, size=10)
|
|
dataset1 = LegCountingDataset(config)
|
|
dataset2 = LegCountingDataset(config)
|
|
|
|
for i in range(len(dataset1)):
|
|
assert dataset1[i] == dataset2[i]
|
|
|
|
|
|
def test_leg_counting_dataset_items():
|
|
"""Test basic properties of generated items"""
|
|
config = LegCountingConfig(min_animals=2, max_animals=4, max_instances=2, size=10, seed=42)
|
|
dataset = LegCountingDataset(config)
|
|
|
|
for i in range(len(dataset)):
|
|
item = dataset[i]
|
|
# Check item structure
|
|
assert isinstance(item, dict)
|
|
assert "question" in item
|
|
assert "answer" in item
|
|
assert "metadata" in item
|
|
|
|
# Check metadata
|
|
assert "animals" in item["metadata"]
|
|
assert "total_legs" in item["metadata"]
|
|
|
|
# Verify animal count constraints
|
|
animals = item["metadata"]["animals"]
|
|
assert len(animals) >= config.min_animals
|
|
assert len(animals) <= config.max_animals
|
|
|
|
# Verify instance count constraints
|
|
assert all(1 <= count <= config.max_instances for count in animals.values())
|
|
|
|
# Verify leg counting is correct
|
|
total_legs = sum(count * ANIMALS[animal] for animal, count in animals.items())
|
|
assert str(total_legs) == item["answer"]
|
|
assert total_legs == item["metadata"]["total_legs"]
|
|
|
|
|
|
def test_leg_counting_dataset_iteration():
|
|
"""Test that iteration respects dataset size"""
|
|
config = LegCountingConfig(size=5, seed=42)
|
|
dataset = LegCountingDataset(config)
|
|
|
|
items = list(dataset)
|
|
assert len(items) == config.size
|
|
|
|
# Test multiple iterations yield same items
|
|
assert items == list(dataset)
|
|
|
|
|
|
def test_leg_counting_animal_validation():
|
|
"""Test that all animals have valid leg counts"""
|
|
# Verify all animals have non-negative leg counts
|
|
assert all(legs >= 0 for legs in ANIMALS.values())
|
|
|
|
# Verify common animals have expected leg counts
|
|
assert ANIMALS["spider"] == 8
|
|
assert ANIMALS["insect"] == 6
|
|
assert ANIMALS["dog"] == 4
|
|
assert ANIMALS["chicken"] == 2
|
|
assert ANIMALS["snake"] == 0
|
|
|
|
|
|
def test_leg_counting_curriculum():
|
|
curriculum = LegCountingCurriculum()
|
|
|
|
base_value = {"size": 150, "seed": 1}
|
|
|
|
base_cfg: LegCountingConfig = curriculum.generate_configuration(base_value)
|
|
assert base_cfg.seed == 1
|
|
assert base_cfg.size == 150
|
|
assert base_cfg.min_animals == 1 and base_cfg.max_animals == 1
|
|
assert base_cfg.min_instances == 2 and base_cfg.max_instances == 4
|
|
|
|
# test incrementing attribute levels
|
|
curriculum.increment_attr_level("num_animals")
|
|
curriculum.increment_attr_level("num_instances")
|
|
increased_cfg = curriculum.generate_configuration(base_value)
|
|
assert increased_cfg.min_animals == 1 and increased_cfg.max_animals == 2
|
|
assert increased_cfg.min_instances == 2 and increased_cfg.max_instances == 8
|
|
|
|
# test decrementing attribute level for num_animals again
|
|
curriculum.decrement_attr_level("num_animals")
|
|
partially_decreased_cfg = curriculum.generate_configuration(base_value)
|
|
assert partially_decreased_cfg.min_animals == 1 and partially_decreased_cfg.max_animals == 1
|
|
assert partially_decreased_cfg.min_instances == 2 and partially_decreased_cfg.max_instances == 8
|