Files
nucleic-purpose-classifier/tests/test_purpose_data.py
T

141 lines
5.1 KiB
Python

import sys
import unittest
from pathlib import Path
MODULE_DIR = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(MODULE_DIR))
import purpose_data
def example(index: int, **overrides):
value = {
"prompt": f"Implement sample endpoint number {index} with stable pagination",
"purpose": purpose_data.LABELS[index % len(purpose_data.LABELS)],
"secondary": None,
"mixed": False,
"difficulty": 0.4,
"slice": "core",
"lang": "en",
}
value.update(overrides)
return value
def source(value, line=1):
return purpose_data.SourceRecord(value, Path("source.jsonl"), line)
class NormalizationTests(unittest.TestCase):
def test_normalization_matches_runtime_whitespace_contract(self):
self.assertEqual(
"Café deploy now",
purpose_data.normalize_prompt(" Cafe\u0301\tdeploy\nnow "),
)
self.assertEqual(
purpose_data.normalized_key("FIX spacing"),
purpose_data.normalized_key(" fix spacing "),
)
class CurationTests(unittest.TestCase):
def test_excludes_exact_fixture_overlap(self):
record = source(example(0, prompt="Make the toolbar nicer", purpose="frontendImpl"))
result = purpose_data.curate_records(
[record],
[{"prompt": " make the toolbar nicer ", "purpose": "frontendImpl"}],
)
self.assertEqual([], result.records)
self.assertEqual("exact", result.duplicates[0].kind)
def test_excludes_high_overlap_generated_template(self):
words = [f"token{index}" for index in range(100)]
first = " ".join(words)
words[50] = "replacement"
second = " ".join(words)
result = purpose_data.curate_records(
[
source(example(0, prompt=first, purpose="backendImpl"), 1),
source(example(1, prompt=second, purpose="backendImpl"), 2),
],
[],
near_duplicate_threshold=0.92,
)
self.assertEqual(1, len(result.records))
self.assertEqual(1, len(result.duplicates))
self.assertEqual("near", result.duplicates[0].kind)
self.assertGreaterEqual(result.duplicates[0].similarity, 0.92)
def test_near_duplicate_label_conflict_requires_review(self):
words = [f"token{index}" for index in range(100)]
first = " ".join(words)
words[50] = "replacement"
second = " ".join(words)
with self.assertRaisesRegex(
purpose_data.DataError, "label conflicts require review"
):
purpose_data.curate_records(
[
source(example(0, prompt=first, purpose="backendImpl"), 1),
source(example(1, prompt=second, purpose="writing"), 2),
],
[],
near_duplicate_threshold=0.92,
)
def test_reviewed_semantic_exclusions_fail_closed_on_corpus_drift(self):
first = source(example(0, prompt="Plan the cache migration", purpose="planning"), 1)
second = source(
example(1, prompt="Propose a cache migration plan", purpose="planning"), 2
)
decision = {
"droppedPromptHash": purpose_data.prompt_hash(second.value["prompt"]),
"matchedPromptHash": purpose_data.prompt_hash(first.value["prompt"]),
"similarity": 0.98,
}
result = purpose_data.exclude_reviewed_duplicates(
[first, second], [decision]
)
self.assertEqual([first], result.records)
self.assertEqual("semantic-reviewed", result.duplicates[0].kind)
with self.assertRaisesRegex(
purpose_data.DataError, "no longer matches the curated corpus"
):
purpose_data.exclude_reviewed_duplicates([first], [decision])
class SplitTests(unittest.TestCase):
def test_split_is_deterministic_stratified_and_keeps_vague_out_of_train(self):
records = []
for index in range(1_000):
slice_name = "vague-eval" if index < 50 else (
"boundary" if index % 5 == 0 else "core"
)
records.append(source(example(index, slice=slice_name), index + 1))
first = purpose_data.split_records(records, fixture_count=10, seed=17)
second = purpose_data.split_records(records, fixture_count=10, seed=17)
self.assertEqual(
[row.value["prompt"] for row in first.train],
[row.value["prompt"] for row in second.train],
)
self.assertEqual(808, len(first.train))
self.assertEqual(101, len(first.validation))
self.assertEqual(101, first.logical_test_count)
self.assertFalse(
any(row.value["slice"] == "vague-eval" for row in first.train)
)
split_prompts = [
{row.value["prompt"] for row in split}
for split in (first.train, first.validation, first.test)
]
self.assertFalse(split_prompts[0] & split_prompts[1])
self.assertFalse(split_prompts[0] & split_prompts[2])
self.assertFalse(split_prompts[1] & split_prompts[2])
if __name__ == "__main__":
unittest.main()