diff --git a/apps/api/app/api/routes/assets.py b/apps/api/app/api/routes/assets.py
index 7ce5b67e4..3a407e81b 100755
--- a/apps/api/app/api/routes/assets.py
+++ b/apps/api/app/api/routes/assets.py
@@ -26,9 +26,9 @@ from app.schemas.asset import (
     UpdateAssetReviewRequest,
 )
 from app.schemas.tag import TagAssetsRequest
+from app.services.asset_segment_tracker import compute_asset_availability
 from fastapi import APIRouter, Depends, HTTPException, Query, Response
 
-from app.services.asset_segment_tracker import compute_asset_availability
 from packages.domain.smart_match import smart_select_assets
 
 logger = logging.getLogger(__name__)
diff --git a/apps/api/app/schemas/asset.py b/apps/api/app/schemas/asset.py
index aadb840af..1f9d2927c 100755
--- a/apps/api/app/schemas/asset.py
+++ b/apps/api/app/schemas/asset.py
@@ -54,19 +54,12 @@ class AssetResponse(BaseModel):
     uploaded_by_user_id: str
     tag_ids: list[str] = Field(default_factory=list)
     # 片段级余量信息（仅视频素材返回，非视频/无时长记录为 None，前端按可用处理）
-    used_duration: float | None = Field(
-        default=None, description="已使用片段时长（秒，历史区间合并去重后）"
-    )
-    available_duration: float | None = Field(
-        default=None, description="剩余可用时长（秒）= 素材总时长 - 已用时长"
-    )
-    used_ratio: float | None = Field(
-        default=None, description="已用时长占比（0~1）"
-    )
+    used_duration: float | None = Field(default=None, description="已使用片段时长（秒，历史区间合并去重后）")
+    available_duration: float | None = Field(default=None, description="剩余可用时长（秒）= 素材总时长 - 已用时长")
+    used_ratio: float | None = Field(default=None, description="已用时长占比（0~1）")
     usable: bool = Field(
         default=True,
-        description="是否仍可用于新片段：零重复可切区间耗尽且所有历史区间复用次数"
-        "（use_count）均达上限时为 false",
+        description="是否仍可用于新片段：零重复可切区间耗尽且所有历史区间复用次数" "（use_count）均达上限时为 false",
     )
 
 
diff --git a/apps/api/app/services/asset_segment_tracker.py b/apps/api/app/services/asset_segment_tracker.py
index 04041ce0e..3e351bc2f 100644
--- a/apps/api/app/services/asset_segment_tracker.py
+++ b/apps/api/app/services/asset_segment_tracker.py
@@ -181,8 +181,7 @@ def remove_used_segment(
     for r in ranges:
         try:
             match = (
-                abs(float(r["start"]) - float(start)) <= tolerance
-                and abs(float(r["end"]) - float(end)) <= tolerance
+                abs(float(r["start"]) - float(start)) <= tolerance and abs(float(r["end"]) - float(end)) <= tolerance
             )
         except (KeyError, TypeError, ValueError):
             remaining.append(r)
@@ -239,17 +238,12 @@ def _merge_intervals(intervals: list[tuple[float, float]]) -> list[tuple[float,
     return merged
 
 
-def _has_free_gap(
-    used: list[tuple[float, float]], total: float, min_free: float = _MIN_FREE_CLIP_DURATION
-) -> bool:
+def _has_free_gap(used: list[tuple[float, float]], total: float, min_free: float = _MIN_FREE_CLIP_DURATION) -> bool:
     """素材 [0, total] 中是否存在长度 ≥ min_free 的空闲段（考虑边缘间隙）。"""
     if total <= 0:
         return False
     # 历史区间按边缘间隙扩边后判定空闲（与选片冲突检测同一口径）
-    expanded = [
-        (max(0.0, s - SEGMENT_EDGE_GAP), min(total, e + SEGMENT_EDGE_GAP))
-        for s, e in used
-    ]
+    expanded = [(max(0.0, s - SEGMENT_EDGE_GAP), min(total, e + SEGMENT_EDGE_GAP)) for s, e in used]
     merged = _merge_intervals(expanded)
     cursor = 0.0
     for start, end in merged:
@@ -349,11 +343,7 @@ def find_reusable_range(
     if model is None:
         return None
     meta = _read_meta(model)
-    ranges = [
-        r
-        for r in (meta.get(USED_RANGES_KEY) or [])
-        if int(r.get("use_count", 1)) < max_use_count
-    ]
+    ranges = [r for r in (meta.get(USED_RANGES_KEY) or []) if int(r.get("use_count", 1)) < max_use_count]
     if not ranges:
         return None
 
@@ -423,9 +413,7 @@ def make_reuse_callback(
                     return None
             result = find_reusable_range(db, asset_id, clip_duration, total)
         except Exception:
-            logger.warning(
-                "[片段追踪] 受控复用查询异常: asset_id=%s", asset_id, exc_info=True
-            )
+            logger.warning("[片段追踪] 受控复用查询异常: asset_id=%s", asset_id, exc_info=True)
             return None
         if result is not None and reused_tracker is not None:
             reused_tracker[asset_id] = reused_tracker.get(asset_id, 0.0) + clip_duration
diff --git a/apps/api/app/services/edit_plan_service.py b/apps/api/app/services/edit_plan_service.py
index d451a592f..5ed03ae07 100755
--- a/apps/api/app/services/edit_plan_service.py
+++ b/apps/api/app/services/edit_plan_service.py
@@ -9,6 +9,12 @@ from __future__ import annotations
 import logging
 from typing import Any, Dict, List, Optional
 
+from app.services.asset_segment_tracker import (
+    REUSE_RATIO_LIMIT,
+    get_used_segments,
+    make_reuse_callback,
+    record_used_segments,
+)
 from sqlalchemy.orm import Session
 
 from packages.adapters.sqlalchemy_impl import (
@@ -24,13 +30,6 @@ from packages.domain.clip_operations import validate_split_time as _validate_spl
 from packages.domain.edit_plan import EditPlan, EditPlanStatus
 from packages.domain.edit_plan_clip import EditPlanClip, EditPlanClipStatus
 
-from app.services.asset_segment_tracker import (
-    REUSE_RATIO_LIMIT,
-    get_used_segments,
-    make_reuse_callback,
-    record_used_segments,
-)
-
 logger = logging.getLogger(__name__)
 
 
@@ -460,7 +459,6 @@ class EditPlanService:
             logger.exception("事务性替换片段失败: plan_id=%s", plan_id)
             raise
 
-
     def clone_plan_for_variant(
         self,
         source_plan_id: str,
@@ -525,9 +523,7 @@ class EditPlanService:
         reused: dict[str, float] = reuse_tracker if reuse_tracker is not None else {}
         asset_assigned: dict[str, float] = {}
         # 回调内部预判复用后占比超 15% 则拒绝复用（calc 返回 None → 保留原起点）
-        reuse_cb = make_reuse_callback(
-            db, durations, reused, assigned_tracker=asset_assigned
-        )
+        reuse_cb = make_reuse_callback(db, durations, reused, assigned_tracker=asset_assigned)
 
         clips_data: list[dict] = []
         for i, c in enumerate(clips):
@@ -541,14 +537,10 @@ class EditPlanService:
                 assigned = asset_assigned.get(aid, 0.0)
                 eff_dur = min(dur, total)
                 reused_amt = reused.get(aid, 0.0)
-                ratio_blocked = (
-                    assigned > 0 and reused_amt / assigned > REUSE_RATIO_LIMIT
-                )
+                ratio_blocked = assigned > 0 and reused_amt / assigned > REUSE_RATIO_LIMIT
                 start = None
                 if not ratio_blocked:
-                    start = _calc_random_start_time(
-                        aid, eff_dur, durations, used_segments, on_exhausted=reuse_cb
-                    )
+                    start = _calc_random_start_time(aid, eff_dur, durations, used_segments, on_exhausted=reuse_cb)
                 if start is None:
                     start = float(c.start_time or 0.0)
                 asset_assigned[aid] = assigned + eff_dur
diff --git a/tests/unit/test_asset_availability.py b/tests/unit/test_asset_availability.py
index a6a3e0b67..40e62f53c 100755
--- a/tests/unit/test_asset_availability.py
+++ b/tests/unit/test_asset_availability.py
@@ -8,8 +8,8 @@
 """
 
 import json
-import sys
 import os
+import sys
 from pathlib import Path
 from types import SimpleNamespace
 from unittest.mock import MagicMock
@@ -114,9 +114,7 @@ class TestComputeAssetAvailability:
 
     def test_overlapping_ranges_merged(self):
         """重叠区间合并后计算 used_duration，不重复计时。"""
-        info = compute_asset_availability(
-            _make_asset(ranges=[_range(0.0, 10.0), _range(5.0, 20.0)])
-        )
+        info = compute_asset_availability(_make_asset(ranges=[_range(0.0, 10.0), _range(5.0, 20.0)]))
         # 合并后 [0,20] → 20s
         assert info["used_duration"] == pytest.approx(20.0, abs=0.01)
         assert info["used_ratio"] == pytest.approx(20.0 / 60.0, abs=0.001)
@@ -220,9 +218,7 @@ class TestComputeAssetAvailability:
 
     def test_broken_classification_json_treated_as_unused(self):
         """classification_result 是非法 JSON 时按无历史区间处理。"""
-        info = compute_asset_availability(
-            _make_asset(classification_result="not-json{{{")
-        )
+        info = compute_asset_availability(_make_asset(classification_result="not-json{{{"))
         assert info is not None
         assert info["used_duration"] == 0.0
         assert info["usable"] is True
diff --git a/tests/unit/test_asset_segment_tracker.py b/tests/unit/test_asset_segment_tracker.py
index 759cfb9a4..b4a3671f9 100644
--- a/tests/unit/test_asset_segment_tracker.py
+++ b/tests/unit/test_asset_segment_tracker.py
@@ -132,10 +132,12 @@ def test_get_used_segments_aggregates_ranges(patched_model):
     models = {
         "a1": FakeModel(
             "a1",
-            {"used_time_ranges": [
-                {"start": 1.0, "end": 5.0, "plan_id": "p1", "use_count": 2},
-                {"start": 9.0, "end": 12.0, "plan_id": "p2"},
-            ]},
+            {
+                "used_time_ranges": [
+                    {"start": 1.0, "end": 5.0, "plan_id": "p1", "use_count": 2},
+                    {"start": 9.0, "end": 12.0, "plan_id": "p2"},
+                ]
+            },
         ),
         "a2": FakeModel("a2", {"other": 1}),
         "a3": FakeModel("a3"),
@@ -169,10 +171,23 @@ def test_record_appends_new_range_with_use_count_one(patched_model):
 
 def test_record_reuse_same_range_increments_use_count(patched_model):
     """新片段与历史区间高度重叠（复用）→ 累加 use_count，不新增记录。"""
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 10.0, "end": 20.0, "plan_id": "p1", "use_count": 1,
-         "created_at": "2026-01-01T00:00:00+00:00", "last_used_at": "2026-01-01T00:00:00+00:00"},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {
+                        "start": 10.0,
+                        "end": 20.0,
+                        "plan_id": "p1",
+                        "use_count": 1,
+                        "created_at": "2026-01-01T00:00:00+00:00",
+                        "last_used_at": "2026-01-01T00:00:00+00:00",
+                    },
+                ]
+            },
+        )
+    }
     db = _db(models)
     # 同一起点复用（find_reusable_range 返回的就是历史区间起点）
     record_used_segments(db, "a1", 10.0, 20.0, "p2")
@@ -183,9 +198,16 @@ def test_record_reuse_same_range_increments_use_count(patched_model):
 
 
 def test_record_distinct_range_appends(patched_model):
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 10.0, "end": 20.0, "plan_id": "p1", "use_count": 1},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 10.0, "end": 20.0, "plan_id": "p1", "use_count": 1},
+                ]
+            },
+        )
+    }
     db = _db(models)
     record_used_segments(db, "a1", 25.0, 35.0, "p2")
     ranges = _ranges(db)
@@ -202,10 +224,17 @@ def test_record_missing_asset_no_raise(patched_model):
 
 
 def test_remove_matching_range(patched_model):
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 1.0, "end": 5.0, "plan_id": "p1"},
-        {"start": 9.0, "end": 12.0, "plan_id": "p2"},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 1.0, "end": 5.0, "plan_id": "p1"},
+                    {"start": 9.0, "end": 12.0, "plan_id": "p2"},
+                ]
+            },
+        )
+    }
     db = _db(models)
     assert remove_used_segment(db, "a1", 1.0, 5.0, plan_id="p1") is True
     assert len(_ranges(db)) == 1
@@ -221,9 +250,16 @@ def test_remove_plan_mismatch_keeps_range(patched_model):
 
 def test_remove_legacy_range_without_plan_id(patched_model):
     """旧数据记录缺 plan_id → 按时间匹配可删除。"""
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 2.0, "end": 12.0, "created_at": "2026-01-01T00:00:00"},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 2.0, "end": 12.0, "created_at": "2026-01-01T00:00:00"},
+                ]
+            },
+        )
+    }
     db = _db(models)
     assert remove_used_segment(db, "a1", 2.0, 12.0, plan_id="plan-new") is True
     assert _ranges(db) == []
@@ -233,9 +269,17 @@ def test_remove_legacy_range_without_plan_id(patched_model):
 
 
 def test_reset_clears_ranges_keeps_other_fields(patched_model):
-    models = {"a1": FakeModel("a1", {"generation_use_count": 3, "used_time_ranges": [
-        {"start": 1.0, "end": 5.0},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "generation_use_count": 3,
+                "used_time_ranges": [
+                    {"start": 1.0, "end": 5.0},
+                ],
+            },
+        )
+    }
     db = _db(models)
     reset_used_segments(db, "a1")
     meta = json.loads(models["a1"].classification_result)
@@ -248,12 +292,22 @@ def test_reset_clears_ranges_keeps_other_fields(patched_model):
 
 def test_find_reusable_prefers_oldest_unused(patched_model):
     """选 last_used_at 最老、use_count 未达上限的区间；能容纳 clip_duration。"""
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 0.0, "end": 8.0, "use_count": 1,
-         "last_used_at": "2026-08-01T00:00:00+00:00"},
-        {"start": 10.0, "end": 20.0, "use_count": 1,
-         "last_used_at": "2026-01-01T00:00:00+00:00"},  # 最久未用
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 0.0, "end": 8.0, "use_count": 1, "last_used_at": "2026-08-01T00:00:00+00:00"},
+                    {
+                        "start": 10.0,
+                        "end": 20.0,
+                        "use_count": 1,
+                        "last_used_at": "2026-01-01T00:00:00+00:00",
+                    },  # 最久未用
+                ]
+            },
+        )
+    }
     db = _db(models)
     result = find_reusable_range(db, "a1", clip_duration=5.0, asset_total=30.0)
     assert result is not None
@@ -263,19 +317,33 @@ def test_find_reusable_prefers_oldest_unused(patched_model):
 
 def test_find_reusable_excludes_max_use_count(patched_model):
     """use_count 达到上限（3）的区间不再参与复用；全部达上限返回 None。"""
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 0.0, "end": 10.0, "use_count": 3, "last_used_at": "2026-01-01T00:00:00"},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 0.0, "end": 10.0, "use_count": 3, "last_used_at": "2026-01-01T00:00:00"},
+                ]
+            },
+        )
+    }
     db = _db(models)
     assert find_reusable_range(db, "a1", 5.0, 30.0) is None
 
 
 def test_find_reusable_fourth_use_rejected(patched_model):
     """同区间复用第 4 次被拒绝：use_count=2 的可复用，use_count=3 的不可复用。"""
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 0.0, "end": 10.0, "use_count": 2, "last_used_at": "2026-03-01T00:00:00"},
-        {"start": 10.0, "end": 20.0, "use_count": 3, "last_used_at": "2026-01-01T00:00:00"},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 0.0, "end": 10.0, "use_count": 2, "last_used_at": "2026-03-01T00:00:00"},
+                    {"start": 10.0, "end": 20.0, "use_count": 3, "last_used_at": "2026-01-01T00:00:00"},
+                ]
+            },
+        )
+    }
     db = _db(models)
     result = find_reusable_range(db, "a1", 5.0, 30.0)
     # 只能选 use_count=2 的区间（start=0），不能选 use_count=3 的（虽然它更老）
@@ -284,9 +352,16 @@ def test_find_reusable_fourth_use_rejected(patched_model):
 
 def test_find_reusable_clamps_to_asset_bounds(patched_model):
     """历史区间起点 + clip_duration 会越素材末尾时，起点钳制到 max_start。"""
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 25.0, "end": 30.0, "use_count": 1, "last_used_at": "2026-01-01T00:00:00"},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 25.0, "end": 30.0, "use_count": 1, "last_used_at": "2026-01-01T00:00:00"},
+                ]
+            },
+        )
+    }
     db = _db(models)
     result = find_reusable_range(db, "a1", clip_duration=10.0, asset_total=30.0)
     assert result is not None
@@ -304,9 +379,16 @@ def test_find_reusable_no_ranges_returns_none(patched_model):
 
 
 def test_reuse_callback_returns_range_and_tracks_duration(patched_model):
-    models = {"a1": FakeModel("a1", {"used_time_ranges": [
-        {"start": 10.0, "end": 20.0, "use_count": 1, "last_used_at": "2026-01-01T00:00:00"},
-    ]})}
+    models = {
+        "a1": FakeModel(
+            "a1",
+            {
+                "used_time_ranges": [
+                    {"start": 10.0, "end": 20.0, "use_count": 1, "last_used_at": "2026-01-01T00:00:00"},
+                ]
+            },
+        )
+    }
     db = _db(models)
     reused: dict[str, float] = {}
     cb = make_reuse_callback(db, {"a1": 30.0}, reused)
@@ -332,6 +414,7 @@ def test_reuse_callback_db_error_returns_none(patched_model):
 def test_calc_random_start_uses_reuse_callback_when_exhausted(monkeypatch):
     """素材区间被占满、100 次随机找不到空位时，调用复用回调返回历史区间。"""
     import packages.domain.plan_generator_utils as pgu
+
     monkeypatch.setattr(pgu.random, "uniform", lambda a, b: 0.5)  # 固定候选点必撞区间
 
     durations = {"a1": 30.0}
@@ -354,6 +437,7 @@ def test_calc_random_start_reuse_callback_none_returns_none(monkeypatch):
     由调用方轮询下一个素材或报 400；历史记录不被清空。
     """
     import packages.domain.plan_generator_utils as pgu
+
     monkeypatch.setattr(pgu.random, "uniform", lambda a, b: 0.5)
 
     durations = {"a1": 30.0}
@@ -367,6 +451,7 @@ def test_calc_random_start_reuse_callback_none_returns_none(monkeypatch):
 def test_calc_random_start_no_callback_backward_compatible(monkeypatch):
     """不传 on_exhausted 时行为与旧版兼容（100 次失败走降级）。"""
     import packages.domain.plan_generator_utils as pgu
+
     monkeypatch.setattr(pgu.random, "uniform", lambda a, b: 0.5)
     result = _calc_random_start_time("a1", 8.0, {"a1": 30.0}, {"a1": [(0.0, 30.0)]})
     assert result is not None
diff --git a/tests/unit/test_clone_plan_variant.py b/tests/unit/test_clone_plan_variant.py
index f3c8e2512..d39f21ca1 100755
--- a/tests/unit/test_clone_plan_variant.py
+++ b/tests/unit/test_clone_plan_variant.py
@@ -7,6 +7,7 @@
 - 复用占比闸门触发时保留原起点（不重复抽取）
 - 源 plan 无片段时抛出 ValueError
 """
+
 from __future__ import annotations
 
 import os
@@ -22,8 +23,6 @@ import pytest
 sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "apps" / "api"))
 sys.path.insert(0, str(Path(__file__).resolve().parent))  # tests/unit，便于复用同目录 stub
 
-from packages.domain.edit_plan_clip import EditPlanClip
-
 # 复用 test_edit_plan_service 里的内存 stub 仓储
 from test_edit_plan_service import (  # noqa: E402
     StubEditPlanClipRepository,
@@ -31,6 +30,8 @@ from test_edit_plan_service import (  # noqa: E402
     _make_service,
 )
 
+from packages.domain.edit_plan_clip import EditPlanClip
+
 
 @pytest.fixture
 def svc_with_source():
@@ -64,9 +65,7 @@ def _clone_with_fake_calc(svc, source, starts, *, used=None):
 
     def fake_calc(asset_id, clip_duration, durations, used_segments, on_exhausted=None):
         idx = len(calc_calls)
-        calc_calls.append(
-            {"asset_id": asset_id, "clip_duration": clip_duration, "on_exhausted": on_exhausted}
-        )
+        calc_calls.append({"asset_id": asset_id, "clip_duration": clip_duration, "on_exhausted": on_exhausted})
         return starts[idx]
 
     with (
@@ -93,12 +92,12 @@ def _clone_with_fake_calc(svc, source, starts, *, used=None):
         ) as mock_asset_model,
     ):
         # db.query(AssetModel).filter(...).all() → 返回带 duration 的 mock 素材
-        m1 = MagicMock(id="a1"); m1.duration = 60.0
-        m2 = MagicMock(id="a2"); m2.duration = 60.0
+        m1 = MagicMock(id="a1")
+        m1.duration = 60.0
+        m2 = MagicMock(id="a2")
+        m2.duration = 60.0
         svc._clip_repo.session.query.return_value.filter.return_value.all.return_value = [m1, m2]
-        new_plan = svc.clone_plan_for_variant(
-            source.id, created_by_user_id="u1", name_suffix="变体"
-        )
+        new_plan = svc.clone_plan_for_variant(source.id, created_by_user_id="u1", name_suffix="变体")
         clips_data = mock_replace.call_args.args[1]
     return new_plan, clips_data, calc_calls
 
@@ -179,9 +178,7 @@ class TestClonePlanForVariant:
         """复用占比闸门触发（calc 返回 None）时保留源片段原起点。"""
         svc, source = svc_with_source
         # 第 3 个片段 calc 返回 None（模拟复用占比超 15% 拒绝复用）
-        new_plan, clips_data, _ = _clone_with_fake_calc(
-            svc, source, [10.0, 20.0, None]  # type: ignore[list-item]
-        )
+        new_plan, clips_data, _ = _clone_with_fake_calc(svc, source, [10.0, 20.0, None])  # type: ignore[list-item]
         starts = [c["start_time"] for c in clips_data]
         assert starts[0] == 10.0
         assert starts[1] == 20.0
diff --git a/tests/unit/test_mediakit_conflicts.py b/tests/unit/test_mediakit_conflicts.py
index 07c68df36..5c5a7cf96 100755
--- a/tests/unit/test_mediakit_conflicts.py
+++ b/tests/unit/test_mediakit_conflicts.py
@@ -5,6 +5,7 @@
 - 不冲突场景（间隔大于边缘间隙）
 - 边缘间隙可配置
 """
+
 from __future__ import annotations
 
 import os
diff --git a/tests/unit/test_mediakit_smart_clips.py b/tests/unit/test_mediakit_smart_clips.py
index 4486586f9..61f114d28 100644
--- a/tests/unit/test_mediakit_smart_clips.py
+++ b/tests/unit/test_mediakit_smart_clips.py
@@ -73,9 +73,7 @@ class TestRecommendedTimeConflicts:
         # 落在扩边范围内 → 判为冲突（避免观感重复）
         assert _recommended_time_conflicts(10.0, 5.0, [(0.0, 10.0)]) is True
         # 显式 edge_gap=0 时退回纯区间重叠判定：相接不算重叠
-        assert (
-            _recommended_time_conflicts(10.0, 5.0, [(0.0, 10.0)], edge_gap=0.0) is False
-        )
+        assert _recommended_time_conflicts(10.0, 5.0, [(0.0, 10.0)], edge_gap=0.0) is False
         # 间隙大于边缘间隙（0.5 > 0.3）→ 不冲突
         assert _recommended_time_conflicts(10.5, 5.0, [(0.0, 10.0)]) is False