mirror of
https://github.com/open-thought/reasoning-gym.git
synced 2026-04-19 12:58:07 +00:00
50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
import json
|
|
|
|
import pytest
|
|
|
|
from reasoning_gym.algorithmic.jugs import JugsConfig, JugsDataset
|
|
|
|
|
|
def test_jugs():
|
|
"""Test basic properties and solution of generated items"""
|
|
config = JugsConfig(seed=42, size=1000, num_jugs=3, difficulty=5)
|
|
dataset = JugsDataset(config)
|
|
|
|
# easy
|
|
for item in dataset:
|
|
assert isinstance(item, dict)
|
|
assert "question" in item
|
|
assert "answer" in item
|
|
assert "metadata" in item
|
|
|
|
# Test the scoring
|
|
assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
|
|
assert dataset.score_answer(answer=None, entry=item) == 0.0
|
|
|
|
config = JugsConfig(seed=42, size=1, num_jugs=3, difficulty=50)
|
|
dataset = JugsDataset(config)
|
|
|
|
# med
|
|
for item in dataset:
|
|
assert isinstance(item, dict)
|
|
assert "question" in item
|
|
assert "answer" in item
|
|
assert "metadata" in item
|
|
|
|
# Test the scoring
|
|
assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
|
|
assert dataset.score_answer(answer=None, entry=item) == 0.0
|
|
|
|
config = JugsConfig(seed=42, size=1, num_jugs=3, difficulty=99)
|
|
dataset = JugsDataset(config)
|
|
|
|
# hard
|
|
for item in dataset:
|
|
assert isinstance(item, dict)
|
|
assert "question" in item
|
|
assert "answer" in item
|
|
assert "metadata" in item
|
|
|
|
# Test the scoring
|
|
assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
|
|
assert dataset.score_answer(answer=None, entry=item) == 0.0
|