formatting fix

vision_agent/tools/meta_tools.py

@@ -116,7 +116,9 @@ def show(self, uploaded_file_path: Optional[Union[str, Path]] = None) -> str:
  )
  output_str = "[Artifacts loaded]\n"
  for k in self.artifacts.keys():
- output_str += f"Artifact name: {k}, loaded to path: {str(loaded_path / k)}\n"
+ output_str += (
+ f"Artifact name: {k}, loaded to path: {str(loaded_path / k)}\n"
+ )
  output_str += "[End of artifacts]\n"
  print(output_str)
  return output_str

vision_agent/tools/tool_utils.py

@@ -1,6 +1,6 @@
-import os
 import inspect
 import logging
+import os
 from base64 import b64encode
 from typing import Any, Callable, Dict, List, MutableMapping, Optional, Tuple
 

vision_agent/tools/tools.py

@@ -1808,7 +1808,9 @@ def save_image(image: np.ndarray, file_path: str) -> None:
  """
  from IPython.display import display
 
- if not isinstance(image, np.ndarray) or (image.shape[0] == 0 and image.shape[1] == 0):
+ if not isinstance(image, np.ndarray) or (
+ image.shape[0] == 0 and image.shape[1] == 0
+ ):
  raise ValueError("The image is not a valid NumPy array with shape (H, W, C)")
 
  pil_image = Image.fromarray(image.astype(np.uint8)).convert("RGB")
@@ -1844,7 +1846,9 @@ def save_video(
  if not isinstance(frame, np.ndarray) or (
  frame.shape[0] == 0 and frame.shape[1] == 0
  ):
- raise ValueError("The frame is not a valid NumPy array with shape (H, W, C)")
+ raise ValueError(
+ "The frame is not a valid NumPy array with shape (H, W, C)"
+ )
 
  if output_video_path is None:
  output_video_path = tempfile.NamedTemporaryFile(

vision_agent/tools/tools_types.py

@@ -1,6 +1,6 @@
 from enum import Enum
-from uuid import UUID
 from typing import List, Optional, Tuple, Union
+from uuid import UUID
 
 from pydantic import BaseModel, ConfigDict, Field, SerializationInfo, field_serializer