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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

315 lines
11 KiB
Python

"""Tests for structure mask system."""
import pytest
from headroom.compression.masks import (
EntropyScore,
MaskSpan,
StructureMask,
apply_mask_to_text,
compute_entropy_mask,
compute_entropy_mask_for_content,
mask_to_spans,
)
class TestStructureMask:
"""Tests for StructureMask class."""
def test_create_mask(self):
"""Test basic mask creation."""
tokens = ["a", "b", "c", "d"]
mask = [True, False, False, True]
sm = StructureMask(tokens=tokens, mask=mask)
assert len(sm.tokens) == 4
assert len(sm.mask) == 4
assert sm.structural_count == 2
assert sm.compressible_count == 2
def test_mask_length_mismatch_raises(self):
"""Test that mismatched lengths raise ValueError."""
tokens = ["a", "b", "c"]
mask = [True, False] # Wrong length
with pytest.raises(ValueError, match="must match"):
StructureMask(tokens=tokens, mask=mask)
def test_preservation_ratio(self):
"""Test preservation ratio calculation."""
tokens = list("abcdefghij") # 10 tokens
mask = [True, True, False, False, False, False, False, False, False, False]
sm = StructureMask(tokens=tokens, mask=mask)
assert sm.preservation_ratio == 0.2 # 2/10
def test_empty_mask(self):
"""Test creating empty mask (all compressible)."""
tokens = list("hello")
sm = StructureMask.empty(tokens)
assert all(not m for m in sm.mask)
assert sm.preservation_ratio == 0.0
def test_full_mask(self):
"""Test creating full mask (all preserved)."""
tokens = list("hello")
sm = StructureMask.full(tokens)
assert all(m for m in sm.mask)
assert sm.preservation_ratio == 1.0
def test_get_structural_tokens(self):
"""Test extracting structural tokens."""
tokens = ["def", " ", "foo", "(", ")", ":"]
mask = [True, False, True, True, True, True]
sm = StructureMask(tokens=tokens, mask=mask)
structural = sm.get_structural_tokens()
assert structural == ["def", "foo", "(", ")", ":"]
def test_get_compressible_tokens(self):
"""Test extracting compressible tokens."""
tokens = ["def", " ", "foo", "(", ")", ":"]
mask = [True, False, True, True, True, True]
sm = StructureMask(tokens=tokens, mask=mask)
compressible = sm.get_compressible_tokens()
assert compressible == [" "]
def test_union_masks(self):
"""Test union of two masks."""
tokens = list("abcd")
mask1 = StructureMask(tokens=tokens, mask=[True, False, False, False])
mask2 = StructureMask(tokens=tokens, mask=[False, False, True, False])
result = mask1.union(mask2)
assert result.mask == [True, False, True, False]
def test_union_different_lengths_raises(self):
"""Test that union of different length masks raises."""
mask1 = StructureMask(tokens=["a", "b"], mask=[True, False])
mask2 = StructureMask(tokens=["a", "b", "c"], mask=[True, False, True])
with pytest.raises(ValueError, match="different lengths"):
mask1.union(mask2)
def test_intersection_masks(self):
"""Test intersection of two masks."""
tokens = list("abcd")
mask1 = StructureMask(tokens=tokens, mask=[True, True, False, False])
mask2 = StructureMask(tokens=tokens, mask=[True, False, True, False])
result = mask1.intersection(mask2)
assert result.mask == [True, False, False, False]
class TestMaskToSpans:
"""Tests for mask_to_spans function."""
def test_simple_spans(self):
"""Test converting mask to spans."""
tokens = list("abcdef")
mask = StructureMask(
tokens=tokens,
mask=[True, True, True, False, False, False],
)
spans = mask_to_spans(mask)
assert len(spans) == 2
assert spans[0] == MaskSpan(start=0, end=3, is_structural=True)
assert spans[1] == MaskSpan(start=3, end=6, is_structural=False)
def test_alternating_spans(self):
"""Test mask with alternating regions."""
tokens = list("abcdef")
mask = StructureMask(
tokens=tokens,
mask=[True, False, True, False, True, False],
)
spans = mask_to_spans(mask)
assert len(spans) == 6 # Each token is its own span
def test_empty_mask(self):
"""Test empty mask produces no spans."""
mask = StructureMask(tokens=[], mask=[])
spans = mask_to_spans(mask)
assert spans == []
def test_span_length(self):
"""Test span length property."""
span = MaskSpan(start=5, end=15, is_structural=True)
assert span.length == 10
class TestEntropyScore:
"""Tests for entropy-based preservation."""
def test_high_entropy_uuid(self):
"""Test that UUIDs have high entropy."""
uuid = "8f14e45f-ceea-4123-8f14-e45fceea4123"
score = EntropyScore.compute(uuid, threshold=0.8)
assert score.value > 0.8
assert score.should_preserve is True
def test_low_entropy_repeated(self):
"""Test that repeated text has low entropy."""
text = "aaaaaaaaaaaaaaaa"
score = EntropyScore.compute(text, threshold=0.5)
assert score.value < 0.3
assert score.should_preserve is False
def test_normal_text_entropy(self):
"""Test normal text entropy."""
text = "The quick brown fox"
score = EntropyScore.compute(text, threshold=0.85)
# Normal diverse text has high entropy (no repetition)
assert 0.5 < score.value <= 1.0
def test_empty_text(self):
"""Test empty text."""
score = EntropyScore.compute("", threshold=0.5)
assert score.value == 0.0
assert score.should_preserve is False
def test_custom_threshold(self):
"""Test custom threshold."""
text = "abc123xyz" # Moderate entropy
high_threshold = EntropyScore.compute(text, threshold=0.95)
low_threshold = EntropyScore.compute(text, threshold=0.5)
# Same value, different preservation decisions
assert high_threshold.value == low_threshold.value
assert (
high_threshold.should_preserve != low_threshold.should_preserve
or high_threshold.value >= 0.95
or high_threshold.value < 0.5
)
class TestComputeEntropyMask:
"""Tests for compute_entropy_mask function."""
def test_preserves_uuids(self):
"""Test that UUIDs are preserved."""
tokens = ["user", ":", " ", "8f14e45f-ceea-4123-8f14-e45fceea4123"]
mask = compute_entropy_mask(tokens, threshold=0.8)
# Only the UUID token should be preserved
assert mask.mask[0] is False # "user"
assert mask.mask[1] is False # ":"
assert mask.mask[2] is False # " "
assert mask.mask[3] is True # UUID
def test_short_tokens_not_checked(self):
"""Test that short tokens are not checked for entropy."""
tokens = ["ab", "cd", "ef"]
mask = compute_entropy_mask(tokens, min_token_length=10)
# All tokens too short to check
assert all(not m for m in mask.mask)
def test_metadata_contains_threshold(self):
"""Test that metadata contains threshold."""
tokens = ["test"]
mask = compute_entropy_mask(tokens, threshold=0.9)
assert mask.metadata["source"] == "entropy"
assert mask.metadata["threshold"] == 0.9
class TestComputeEntropyMaskForContent:
"""Tests for compute_entropy_mask_for_content (SEC-01 regression).
The character-level path (`compute_entropy_mask(list(content))`) is a silent
no-op on plain text because every single-character token is below
min_token_length. The content-level helper must restore preservation by
scoring whole words and mapping them back to character positions.
"""
def test_char_level_tokenization_is_inert(self):
"""Regression: char tokens never reach min length -> nothing preserved."""
secret = "Zx9Kq3Wm7Pv2Lr8Nt4Bc6Df1Gh5Jy" # gitleaks:allow synthetic test fixture
char_mask = compute_entropy_mask(list(f"k={secret}"), threshold=0.85)
# This is the bug the fix routes around: zero preservation.
assert sum(char_mask.mask) == 0
def test_high_entropy_word_char_range_preserved(self):
"""The full character span of a high-entropy word is marked True."""
secret = "Zx9Kq3Wm7Pv2Lr8Nt4Bc6Df1Gh5Jy" # gitleaks:allow synthetic test fixture
content = f"prefix {secret} suffix"
mask = compute_entropy_mask_for_content(content, threshold=0.85)
start = content.index(secret)
end = start + len(secret)
assert all(mask.mask[start:end]) # secret preserved
assert not any(mask.mask[:start]) # ordinary words not preserved
assert not any(mask.mask[end:]) # trailing words not preserved
assert len(mask.mask) == len(content) # char-aligned
def test_short_words_not_preserved(self):
"""Short words are not scored regardless of entropy."""
mask = compute_entropy_mask_for_content("a b cd ef", threshold=0.5)
assert sum(mask.mask) == 0
def test_metadata_marks_word_granularity(self):
mask = compute_entropy_mask_for_content("plain words only", threshold=0.9)
assert mask.metadata["source"] == "entropy"
assert mask.metadata["threshold"] == 0.9
assert mask.metadata["granularity"] == "word"
class TestApplyMaskToText:
"""Tests for apply_mask_to_text function."""
def test_preserves_structural(self):
"""Test that structural regions are preserved."""
text = "def foo(): pass"
tokens = list(text)
mask = StructureMask(
tokens=tokens,
# Preserve "def foo():" (first 10 chars)
mask=[True] * 10 + [False] * 5,
)
def mock_compress(s: str) -> str:
return "[C]"
result = apply_mask_to_text(text, mask, mock_compress)
assert result.startswith("def foo():")
assert "[C]" in result
def test_compresses_non_structural(self):
"""Test that non-structural regions are compressed."""
text = "aaa bbb ccc"
tokens = list(text)
mask = StructureMask(
tokens=tokens,
mask=[True, True, True, False, False, False, False, True, True, True, True],
)
def mock_compress(s: str) -> str:
return "X"
result = apply_mask_to_text(text, mask, mock_compress)
# "aaa" preserved, " bbb " compressed to "X", "ccc" preserved
assert "aaa" in result
assert "ccc" in result