code: 
  
  
  
  
  
  import unittest
  from pathlib import Path
  
  from transformers import is_vision_available, load_tool
  from transformers.testing_utils import get_tests_dir
  
  from .test_tools_common import ToolTesterMixin
  
  
  if is_vision_available():
       from PIL import Image
  
  class 				A    (unittest.TestCase       ,A_				):
  
  
  
        def    __a (					self					)      ->   Tuple:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Tuple     				=						load_tool('''image-segmentation'''					)
               self.tool.setup()
               _snake_case      :							List[Any]     				=						load_tool('''image-segmentation'''     ,  remote=lowercase_					)
  
  
  
        def    __a (					self					)      ->   Any:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							List[Any]     				=						Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
               _snake_case      :							Union[str, Any]     				=						self.tool(lowercase_     ,  '''cat'''					)
               self.assertTrue(isinstance(lowercase_     ,  Image.Image					)					)
  
  
  
        def    __a (					self					)      ->   Dict:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							List[str]     				=						Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
               _snake_case      :							Optional[int]     				=						self.remote_tool(lowercase_     ,  '''cat'''					)
               self.assertTrue(isinstance(lowercase_     ,  Image.Image					)					)
  
  
  
        def    __a (					self					)      ->   int:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							str     				=						Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
               _snake_case      :							Union[str, Any]     				=						self.tool(image=lowercase_     ,  label='''cat'''					)
               self.assertTrue(isinstance(lowercase_     ,  Image.Image					)					)
  
  
  
        def    __a (					self					)      ->   Any:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Dict     				=						Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
               _snake_case      :							str     				=						self.remote_tool(image=lowercase_     ,  label='''cat'''					)
               self.assertTrue(isinstance(lowercase_     ,  Image.Image					)					)
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  def 						A_			(  lowercase_  )			->						list:
         if len(lowercase_  ) <= 1:
                return data
         else:
                return [
                    *quick_sort([e for e in data[1:] if e <= data[0]]  ),
                    data[0],
                    *quick_sort([e for e in data[1:] if e > data[0]]  ),
                ]
  
  
  if __name__ == "__main__":
     import doctest
  
     doctest.testmod()
  
  
  
  
  
  
  