mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-19 12:58:07 +00:00
100 lines
3.5 KiB
Python
100 lines
3.5 KiB
Python
import pytest
|
|
|
|
from reasoning_gym.algorithmic.word_sequence_reversal import (
|
|
WordSequenceReversalConfig,
|
|
WordSequenceReversalCurriculum,
|
|
WordSequenceReversalDataset,
|
|
)
|
|
|
|
|
|
def test_word_sequence_reversal_config_validation():
|
|
"""Test that invalid configs raise appropriate errors"""
|
|
with pytest.raises(AssertionError):
|
|
config = WordSequenceReversalConfig(min_words=0)
|
|
config.validate()
|
|
|
|
with pytest.raises(AssertionError):
|
|
config = WordSequenceReversalConfig(min_words=10, max_words=5)
|
|
config.validate()
|
|
|
|
|
|
def test_word_sequence_reversal_dataset_deterministic():
|
|
"""Test that dataset generates same items with same seed"""
|
|
config = WordSequenceReversalConfig(seed=42, size=10)
|
|
dataset1 = WordSequenceReversalDataset(config)
|
|
dataset2 = WordSequenceReversalDataset(config)
|
|
|
|
for i in range(len(dataset1)):
|
|
assert dataset1[i] == dataset2[i]
|
|
|
|
|
|
def test_word_sequence_reversal_dataset_items():
|
|
"""Test basic properties of generated items"""
|
|
config = WordSequenceReversalConfig(min_words=3, max_words=6, size=10, seed=42)
|
|
dataset = WordSequenceReversalDataset(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 "num_words" in item["metadata"]
|
|
assert "words" in item["metadata"]
|
|
|
|
# Verify word count constraints
|
|
words = item["metadata"]["words"]
|
|
assert len(words) >= config.min_words
|
|
assert len(words) <= config.max_words
|
|
|
|
# Verify reversal is correct
|
|
question_words = [w.strip() for w in item["question"].split(":")[1].strip().split(",")]
|
|
answer_words = item["answer"].split(", ")
|
|
assert answer_words == list(reversed(question_words))
|
|
|
|
|
|
def test_word_sequence_reversal_dataset_iteration():
|
|
"""Test that iteration respects dataset size"""
|
|
config = WordSequenceReversalConfig(size=5, seed=42)
|
|
dataset = WordSequenceReversalDataset(config)
|
|
|
|
items = list(dataset)
|
|
assert len(items) == config.size
|
|
|
|
# Test multiple iterations yield same items
|
|
assert items == list(dataset)
|
|
|
|
|
|
def test_word_sequence_reversal_text_preprocessing():
|
|
"""Test that text preprocessing handles edge cases"""
|
|
config = WordSequenceReversalConfig(size=1, seed=42)
|
|
dataset = WordSequenceReversalDataset(config)
|
|
|
|
# Verify words were extracted from text
|
|
assert len(dataset.words) > 0
|
|
# Verify words contain only alphanumeric characters
|
|
assert all(word.isalnum() for word in dataset.words)
|
|
|
|
|
|
def test_word_sequence_reversal_curriculum():
|
|
curriculum = WordSequenceReversalCurriculum()
|
|
|
|
base_value = {"size": 150, "seed": 1}
|
|
|
|
base_cfg: WordSequenceReversalConfig = curriculum.generate_configuration(base_value)
|
|
assert base_cfg.seed == 1
|
|
assert base_cfg.size == 150
|
|
assert base_cfg.min_words == 10 and base_cfg.max_words == 50
|
|
|
|
# test incrementing attribute levels
|
|
curriculum.increment_attr_level("words")
|
|
increased_cfg = curriculum.generate_configuration(base_value)
|
|
assert increased_cfg.min_words == 10 and increased_cfg.max_words == 100
|
|
|
|
# test decrementing attribute level for words again
|
|
curriculum.decrement_attr_level("words")
|
|
partially_decreased_cfg = curriculum.generate_configuration(base_value)
|
|
assert partially_decreased_cfg.min_words == 10 and partially_decreased_cfg.max_words == 50
|