From bbf4108e2fd021f53ecaa2fc34bd1510ae3c758c Mon Sep 17 00:00:00 2001 From: CI Bot Date: Sat, 25 Jul 2026 11:05:53 +0800 Subject: [PATCH] style: fix black formatting for wave70 dedup tests --- tests/unit/test_dedup_pure.py | 22 ++++++---------------- 1 file changed, 6 insertions(+), 16 deletions(-) diff --git a/tests/unit/test_dedup_pure.py b/tests/unit/test_dedup_pure.py index 49264c5c7..9c82021b8 100755 --- a/tests/unit/test_dedup_pure.py +++ b/tests/unit/test_dedup_pure.py @@ -106,16 +106,12 @@ class TestAverageHistogramSimilarity: def test_empty_first_list(self): """第一组为空返回0.""" - sim = VideoDeduplicator._average_histogram_similarity( - [], [[0.5, 0.5]] - ) + sim = VideoDeduplicator._average_histogram_similarity([], [[0.5, 0.5]]) assert sim == 0.0 def test_empty_second_list(self): """第二组为空返回0.""" - sim = VideoDeduplicator._average_histogram_similarity( - [[0.5, 0.5]], [] - ) + sim = VideoDeduplicator._average_histogram_similarity([[0.5, 0.5]], []) assert sim == 0.0 def test_both_empty(self): @@ -126,18 +122,14 @@ class TestAverageHistogramSimilarity: def test_orthogonal_histograms(self): """正交直方图相似度为0.""" # [1, 0] 和 [0, 1] 正交 - sim = VideoDeduplicator._average_histogram_similarity( - [[1.0, 0.0]], [[0.0, 1.0]] - ) + sim = VideoDeduplicator._average_histogram_similarity([[1.0, 0.0]], [[0.0, 1.0]]) assert sim == pytest.approx(0.0) def test_partial_similarity(self): """部分相似.""" # [1, 1] 和 [1, 0] 的余弦相似度 = 1/√2 ≈ 0.707 - sim = VideoDeduplicator._average_histogram_similarity( - [[1.0, 1.0]], [[1.0, 0.0]] - ) - assert sim == pytest.approx(1.0 / (2 ** 0.5), rel=0.01) + sim = VideoDeduplicator._average_histogram_similarity([[1.0, 1.0]], [[1.0, 0.0]]) + assert sim == pytest.approx(1.0 / (2**0.5), rel=0.01) def test_multiple_frames_best_match(self): """多帧时取最佳匹配.""" @@ -151,9 +143,7 @@ class TestAverageHistogramSimilarity: def test_zero_norm_histogram_skipped(self): """零范数直方图被跳过.""" - sim = VideoDeduplicator._average_histogram_similarity( - [[0.0, 0.0]], [[1.0, 1.0]] - ) + sim = VideoDeduplicator._average_histogram_similarity([[0.0, 0.0]], [[1.0, 1.0]]) # 第一组的零范数被跳过,similarities为空,返回0 assert sim == 0.0