reasoning-gym/tests/test_time_intervals.py
Oliver Stanley c0e98f93b4
make task entries json serializable (#443)
* make sympy-based task entries json serializable

* remove datetime objs from time_intervals metadata

* make adv geometry json serializable

* make futoshiki metadata json serializable

* fixes

* futoshiki tweaks

* fix adv geometry

* deal with fractions in str representations

* fix

* restore start_time, end_time as str
2025-06-02 08:57:15 +02:00

131 lines
4.3 KiB
Python

from datetime import date, datetime
import pytest
from reasoning_gym.arithmetic import TimeIntervalsConfig, TimeIntervalsCurriculum, TimeIntervalsDataset
def test_time_intervals_config_validation():
"""Test that invalid configs raise appropriate errors"""
with pytest.raises(AssertionError):
config = TimeIntervalsConfig(size=0)
config.validate()
with pytest.raises(AssertionError):
config = TimeIntervalsConfig(max_time_difference_seconds=0)
config.validate()
with pytest.raises(AssertionError):
config = TimeIntervalsConfig(max_date_difference_days=0)
config.validate()
with pytest.raises(AssertionError):
config = TimeIntervalsConfig(min_date=date(2024, 1, 1), max_date=date(2023, 1, 1))
config.validate()
def test_time_intervals_deterministic():
"""Test that dataset generates same items with same seed"""
config = TimeIntervalsConfig(seed=42, size=10)
dataset1 = TimeIntervalsDataset(config)
dataset2 = TimeIntervalsDataset(config)
for i in range(len(dataset1)):
assert dataset1[i] == dataset2[i]
def test_time_intervals_items():
"""Test basic properties of generated items"""
config = TimeIntervalsConfig(
size=100,
seed=42,
max_time_difference_seconds=3600, # 1 hour max
max_date_difference_days=10,
)
dataset = TimeIntervalsDataset(config)
for i in range(len(dataset)):
item = dataset[i]
assert isinstance(item, dict)
assert "question" in item
assert "answer" in item
assert "metadata" in item
assert "task_type" in item["metadata"]
def test_time_intervals_scoring():
"""Test the answer scoring functionality"""
config = TimeIntervalsConfig(seed=42)
dataset = TimeIntervalsDataset(config)
# Generate a sample item
item = dataset[0]
# Test exact match
assert dataset.score_answer(item["answer"], item) == 1.0
# Test empty/None answers
assert dataset.score_answer(None, item) == 0.0
assert dataset.score_answer("", item) == 0.0
# Test invalid format
assert dataset.score_answer("invalid", item) == 0.0
# Test close but not exact answers
task_type = item["metadata"]["task_type"]
if task_type == "date":
expected = int(item["answer"])
# Test answer off by 1 day
score = dataset.score_answer(str(expected + 1), item)
assert 0 < score < 1
elif task_type.startswith("time"):
# Test answer off by a few minutes
if ":" in item["answer"]:
parts = item["answer"].split(":")
hours = int(parts[0])
minutes = (int(parts[1]) + 5) % 60 # Add 5 minutes
modified = f"{hours:02d}:{minutes:02d}"
if len(parts) > 2:
modified += ":" + parts[2]
score = dataset.score_answer(modified, item)
assert 0 < score < 1
def test_oracle_answer():
"""Test that generated answer is marked correct"""
config = TimeIntervalsConfig(seed=42, size=500)
dataset = TimeIntervalsDataset(config)
for i in range(len(dataset)):
item = dataset[i]
metadata = item["metadata"]
assert "start_time" in metadata
assert "end_time" in metadata
assert dataset.score_answer(item["answer"], item) == 1.0
def test_time_intervals_curriculum():
curriculum = TimeIntervalsCurriculum()
base_value = {"size": 150, "seed": 1}
base_cfg: TimeIntervalsConfig = curriculum.generate_configuration(base_value)
assert base_cfg.seed == 1
assert base_cfg.size == 150
assert base_cfg.max_time_difference_seconds == 60
assert base_cfg.max_date_difference_days == 1
# test incrementing attribute levels
curriculum.increment_attr_level("max_time_difference_seconds")
curriculum.increment_attr_level("max_date_difference_days")
increased_cfg = curriculum.generate_configuration(base_value)
assert increased_cfg.max_time_difference_seconds == 60 * 60
assert increased_cfg.max_date_difference_days == 7
# test decrementing attribute level
curriculum.decrement_attr_level("max_time_difference_seconds")
partially_decreased_cfg = curriculum.generate_configuration(base_value)
assert partially_decreased_cfg.max_time_difference_seconds == 60
assert partially_decreased_cfg.max_date_difference_days == 7