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97 lines
3.6 KiB
Python
97 lines
3.6 KiB
Python
import pytest
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from reasoning_gym.cognition.needle_haystack import (
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NeedleHaystackConfig,
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NeedleHaystackCurriculum,
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NeedleHaystackDataset,
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)
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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, min_num_statements=50, max_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) == 0.0
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assert dataset.score_answer(answer=None, entry=item) == 0.0
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config = NeedleHaystackConfig(seed=42, size=1, min_num_statements=500, max_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, min_num_statements=5000, max_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, min_num_statements=50000, max_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, min_num_statements=500000, max_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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def test_needle_haystack_curriculum():
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curriculum = NeedleHaystackCurriculum()
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base_value = {"size": 150, "seed": 1}
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base_cfg: NeedleHaystackConfig = curriculum.generate_configuration(base_value)
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assert base_cfg.seed == 1
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assert base_cfg.size == 150
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assert base_cfg.min_num_statements == 10 and base_cfg.max_num_statements == 100
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# test incrementing attribute levels
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curriculum.increment_attr_level("num_statements")
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increased_cfg = curriculum.generate_configuration(base_value)
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assert increased_cfg.min_num_statements == 10 and increased_cfg.max_num_statements == 500
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# test decrementing attribute level for num_statements again
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curriculum.decrement_attr_level("num_statements")
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partially_decreased_cfg = curriculum.generate_configuration(base_value)
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assert partially_decreased_cfg.min_num_statements == 10 and partially_decreased_cfg.max_num_statements == 100
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