mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2025-10-09 13:40:09 +03:00
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
130 lines
4.1 KiB
Python
130 lines
4.1 KiB
Python
"""Tests for Binary Alternation questions generation"""
|
|
|
|
import pytest
|
|
|
|
from reasoning_gym.algorithmic.binary_alternation import (
|
|
BinaryAlternationConfig,
|
|
BinaryAlternationCurriculum,
|
|
BinaryAlternationDataset,
|
|
)
|
|
|
|
|
|
def test_binary_alternation_config_validation():
|
|
"""Test that invalid configs raise appropriate errors"""
|
|
with pytest.raises(AssertionError):
|
|
config = BinaryAlternationConfig(max_n=-1) # Negative not allowed
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = BinaryAlternationConfig(max_n=0) # Zero not allowed
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = BinaryAlternationConfig(min_n=-1) # Negative not allowed
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = BinaryAlternationConfig(min_n=0) # Zero not allowed
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = BinaryAlternationConfig(p_solvable=-0.01) # < 0 not allowed
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = BinaryAlternationConfig(p_solvable=1.01) # > 0 not allowed
|
|
config.validate()
|
|
|
|
|
|
def test_binary_alternation_dataset_deterministic():
|
|
"""Test that dataset generates same items with same seed"""
|
|
config = BinaryAlternationConfig(seed=42, size=10)
|
|
dataset1 = BinaryAlternationDataset(config)
|
|
dataset2 = BinaryAlternationDataset(config)
|
|
|
|
for i in range(len(dataset1)):
|
|
assert dataset1[i] == dataset2[i]
|
|
|
|
|
|
def test_binary_alternation_dataset_items():
|
|
"""Test basic properties of generated items"""
|
|
config = BinaryAlternationConfig(max_n=10, size=10, seed=42)
|
|
dataset = BinaryAlternationDataset(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 "string" in item["metadata"]
|
|
assert "solution" in item["metadata"]
|
|
assert "solvable" in item["metadata"]
|
|
|
|
solution = item["metadata"]["solution"]
|
|
string = item["metadata"]["string"]
|
|
solvable = item["metadata"]["solvable"]
|
|
|
|
# Verify values
|
|
assert set(string) <= {"0", "1"}
|
|
if solution == -1:
|
|
assert not solvable
|
|
assert abs(string.count("1") - string.count("0")) > 1
|
|
else:
|
|
assert solvable
|
|
assert abs(string.count("1") - string.count("0")) <= 1
|
|
|
|
|
|
def test_binary_alternation_dataset_iteration():
|
|
"""Test that iteration respects dataset size"""
|
|
config = BinaryAlternationConfig(size=5, seed=42)
|
|
dataset = BinaryAlternationDataset(config)
|
|
|
|
items = list(dataset)
|
|
assert len(items) == config.size
|
|
|
|
# Test multiple iterations yield same items
|
|
assert items == list(dataset)
|
|
|
|
|
|
def test_binary_alternation_answer():
|
|
"""Verify the number of 1 bits in the binary representation of a number"""
|
|
config = BinaryAlternationConfig(size=5, seed=42)
|
|
dataset = BinaryAlternationDataset(config)
|
|
|
|
# Impossible
|
|
string = "1110"
|
|
assert dataset._get_answer(string) == -1
|
|
|
|
# Already alternating
|
|
string = "10101"
|
|
assert dataset._get_answer(string) == 0
|
|
|
|
# One shot example
|
|
string = "111000"
|
|
assert dataset._get_answer(string) == 1
|
|
|
|
|
|
def test_binary_alternation_curriculum():
|
|
curriculum = BinaryAlternationCurriculum()
|
|
|
|
base_value = {"size": 150, "seed": 1}
|
|
|
|
base_cfg: BinaryAlternationConfig = curriculum.generate_configuration(base_value)
|
|
assert base_cfg.seed == 1
|
|
assert base_cfg.size == 150
|
|
assert base_cfg.min_n == 10 and base_cfg.max_n == 50
|
|
|
|
# test incrementing attribute levels
|
|
curriculum.increment_attr_level("n")
|
|
increased_cfg = curriculum.generate_configuration(base_value)
|
|
assert increased_cfg.min_n == 10 and increased_cfg.max_n == 500
|
|
|
|
# test decrementing attribute levels
|
|
curriculum.decrement_attr_level("n")
|
|
decreased_cfg = curriculum.generate_configuration(base_value)
|
|
assert decreased_cfg.min_n == 10 and decreased_cfg.max_n == 50
|