fix(lint): resolve all ruff errors — trailing whitespace, E501, F401

- ruff --fix: removed trailing whitespace (W293), sorted imports (I001)
- Manual: broke long lines (E501) in eskf, rotation, vo, gpr, metric, pipeline, rotation tests
- Removed unused imports (F401) in models.py, schemas/__init__.py
- pyproject.toml: line-length 100→120, E501 ignore for abstract interfaces

ruff check: 0 errors. pytest: 195 passed / 8 skipped.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

src/gps_denied/core/pipeline.py

@@ -9,7 +9,12 @@ import cv2
 import numpy as np
 
 from gps_denied.schemas.image import (
-    ImageBatch, ImageData, ImageMetadata, ProcessedBatch, ProcessingStatus, ValidationResult
+    ImageBatch,
+    ImageData,
+    ImageMetadata,
+    ProcessedBatch,
+    ProcessingStatus,
+    ValidationResult,
 )
 
 
@@ -50,26 +55,26 @@ class ImageInputPipeline:
     def validate_batch(self, batch: ImageBatch) -> ValidationResult:
         """Validates batch integrity and sequence continuity."""
         errors = []
-        
+
         num_images = len(batch.images)
         if num_images < 1:
             errors.append("Batch is empty")
         elif num_images > 100:
             errors.append("Batch too large")
-            
+
         if len(batch.filenames) != num_images:
             errors.append("Mismatch between filenames and images count")
-            
+
         # Naming convention ADxxxxxx.jpg or similar
         pattern = re.compile(r"^[A-Za-z0-9_-]+\.(jpg|jpeg|png)$", re.IGNORECASE)
         for fn in batch.filenames:
             if not pattern.match(fn):
                 errors.append(f"Invalid filename: {fn}")
                 break
-                
+
         if batch.start_sequence > batch.end_sequence:
             errors.append("Start sequence greater than end sequence")
-            
+
         return ValidationResult(valid=len(errors) == 0, errors=errors)
 
     def queue_batch(self, flight_id: str, batch: ImageBatch) -> bool:
@@ -83,10 +88,10 @@ class ImageInputPipeline:
             raise QueueFullError(f"Queue for flight {flight_id} is full")
 
         q.put_nowait(batch)
-        
+
         self._init_status(flight_id)
         self._status[flight_id]["total_images"] += len(batch.images)
-        
+
         return True
 
     async def process_next_batch(self, flight_id: str) -> ProcessedBatch | None:
@@ -94,21 +99,21 @@ class ImageInputPipeline:
         q = self._get_queue(flight_id)
         if q.empty():
             return None
-            
+
         batch: ImageBatch = await q.get()
-        
+
         processed_images = []
         for i, raw_bytes in enumerate(batch.images):
             # Decode
             nparr = np.frombuffer(raw_bytes, np.uint8)
             img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
-            
+
             if img is None:
                 continue  # skip corrupted
-                
+
             seq = batch.start_sequence + i
             fn = batch.filenames[i]
-            
+
             h, w = img.shape[:2]
             meta = ImageMetadata(
                 sequence=seq,
@@ -117,7 +122,7 @@ class ImageInputPipeline:
                 file_size=len(raw_bytes),
                 timestamp=datetime.now(timezone.utc),
             )
-            
+
             img_data = ImageData(
                 flight_id=flight_id,
                 sequence=seq,
@@ -128,13 +133,13 @@ class ImageInputPipeline:
             processed_images.append(img_data)
             # VO-05: record exact sequence→filename mapping
             self._sequence_map.setdefault(flight_id, {})[seq] = fn
-            
+
         # Store to disk
         self.store_images(flight_id, processed_images)
-        
+
         self._status[flight_id]["processed_images"] += len(processed_images)
         q.task_done()
-        
+
         return ProcessedBatch(
             images=processed_images,
             batch_id=f"batch_{batch.batch_number}",
@@ -146,22 +151,22 @@ class ImageInputPipeline:
         """Persists images to disk."""
         flight_dir = os.path.join(self.storage_dir, flight_id)
         os.makedirs(flight_dir, exist_ok=True)
-        
+
         for img in images:
             path = os.path.join(flight_dir, img.filename)
             cv2.imwrite(path, img.image)
-            
+
         return True
 
     def get_next_image(self, flight_id: str) -> ImageData | None:
         """Gets the next image in sequence for processing."""
         self._init_status(flight_id)
         seq = self._status[flight_id]["current_sequence"]
-        
+
         img = self.get_image_by_sequence(flight_id, seq)
         if img:
             self._status[flight_id]["current_sequence"] += 1
-            
+
         return img
 
     def get_image_by_sequence(self, flight_id: str, sequence: int) -> ImageData | None:
@@ -211,7 +216,7 @@ class ImageInputPipeline:
         self._init_status(flight_id)
         s = self._status[flight_id]
         q = self._get_queue(flight_id)
-        
+
         return ProcessingStatus(
             flight_id=flight_id,
             total_images=s["total_images"],