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72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
import pytest
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from reasoning_gym.cognition.needle_haystack import NeedleHaystackConfig, NeedleHaystackDataset
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def test_needle_haystack():
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"""Test basic properties and solution of generated items"""
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config = NeedleHaystackConfig(seed=42, size=50, num_statements=50)
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dataset = NeedleHaystackDataset(config)
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for item in dataset:
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assert isinstance(item, dict)
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assert "question" in item
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assert "answer" in item
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assert "metadata" in item
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# Test the scoring
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer="david bowie rules", entry=item) == 0.01
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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config = NeedleHaystackConfig(seed=42, size=1, num_statements=500)
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dataset = NeedleHaystackDataset(config)
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for item in dataset:
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assert isinstance(item, dict)
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assert "question" in item
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assert "answer" in item
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assert "metadata" in item
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# Test the scoring
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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config = NeedleHaystackConfig(seed=42, size=1, num_statements=5000)
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dataset = NeedleHaystackDataset(config)
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for item in dataset:
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assert isinstance(item, dict)
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assert "question" in item
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assert "answer" in item
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assert "metadata" in item
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# Test the scoring
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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config = NeedleHaystackConfig(seed=42, size=1, num_statements=50000)
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dataset = NeedleHaystackDataset(config)
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for item in dataset:
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assert isinstance(item, dict)
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assert "question" in item
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assert "answer" in item
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assert "metadata" in item
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# Test the scoring
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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config = NeedleHaystackConfig(seed=42, size=1, num_statements=500000)
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dataset = NeedleHaystackDataset(config)
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for item in dataset:
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assert isinstance(item, dict)
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assert "question" in item
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assert "answer" in item
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assert "metadata" in item
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# Test the scoring
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assert dataset.score_answer(answer=item["answer"], entry=item) == 1.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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