style(gpu): ruff — split as-import, dict(rows) over comprehension

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

backend/app/api/gpu.py

@@ -76,7 +76,7 @@ async def status():
                 select(GpuJob.status, func.count()).group_by(GpuJob.status)
             )
         ).all()
-    counts = {s: c for s, c in rows}
+    counts = dict(rows)
     return jsonify({
         "pending": counts.get("pending", 0),
         "leased": counts.get("leased", 0),

backend/app/tasks/ml.py

@@ -745,7 +745,8 @@ def enqueue_gpu_backfill(task_name: str) -> int:
     """Enqueue a gpu_job for every image that doesn't already have one for
     `task_name` (one INSERT…SELECT, so it scales to a full library). The desktop
     agent drains the queue over HTTP. Returns the number enqueued."""
-    from sqlalchemy import exists, insert, literal, select as sa_select
+    from sqlalchemy import exists, insert, literal
+    from sqlalchemy import select as sa_select
 
     from ..models import GpuJob, ImageRecord