code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  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   lowerCamelCase_							( unittest.TestCase, __SCREAMING_SNAKE_CASE	):
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							_snake_case			 = load_tool("image-segmentation"				)
  							self.tool.setup()
  							_snake_case			 = load_tool("image-segmentation",						remote=UpperCamelCase__				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							_snake_case			 = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
  							_snake_case			 = self.tool(UpperCamelCase__,						"cat"				)
  							self.assertTrue(isinstance(UpperCamelCase__,						Image.Image				)				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							_snake_case			 = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
  							_snake_case			 = self.remote_tool(UpperCamelCase__,						"cat"				)
  							self.assertTrue(isinstance(UpperCamelCase__,						Image.Image				)				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							_snake_case			 = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
  							_snake_case			 = self.tool(image=UpperCamelCase__,						label="cat"				)
  							self.assertTrue(isinstance(UpperCamelCase__,						Image.Image				)				)
  
  
  
  
  
  
  					def        __SCREAMING_SNAKE_CASE			(					self				):
  							_snake_case			 = Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
  							_snake_case			 = self.remote_tool(image=UpperCamelCase__,						label="cat"				)
  							self.assertTrue(isinstance(UpperCamelCase__,						Image.Image				)				)
  
  
  
  
  
  
style_context: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vilt import ViltImageProcessor
  
  
  _lowerCamelCase							:		Optional[Any]										=						logging.get_logger(__name__)
  
  
  
  
  
  class   lowerCamelCase_							( UpperCAmelCase_							):
  
  
  
  
  					'''simple docstring'''
  
  
  
  
  
  
  					def __init__(					self,						*__UpperCamelCase,						**__UpperCamelCase				):
  							warnings.warn(
  							    "The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
  							    " use ViltImageProcessor instead.",						__UpperCamelCase,						)
  							super().__init__(*__UpperCamelCase,						**__UpperCamelCase				)
  
  
  
  
  
  