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 	lowercase__ (	self			:    Dict    ):
          lowerCAmelCase				:			Any    			=      load_tool('image-segmentation'    )
          self.tool.setup()
          lowerCAmelCase				:			Any    			=      load_tool('image-segmentation'    ,				remote=UpperCAmelCase_    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Optional[int]    ):
          lowerCAmelCase				:			Tuple    			=      Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
          lowerCAmelCase				:			str    			=      self.tool(UpperCAmelCase_    ,				'cat'    )
          self.assertTrue(isinstance(UpperCAmelCase_    ,				Image.Image    )    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Optional[Any]    ):
          lowerCAmelCase				:			List[Any]    			=      Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
          lowerCAmelCase				:			List[Any]    			=      self.remote_tool(UpperCAmelCase_    ,				'cat'    )
          self.assertTrue(isinstance(UpperCAmelCase_    ,				Image.Image    )    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Dict    ):
          lowerCAmelCase				:			Any    			=      Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
          lowerCAmelCase				:			str    			=      self.tool(image=UpperCAmelCase_    ,				label='cat'    )
          self.assertTrue(isinstance(UpperCAmelCase_    ,				Image.Image    )    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Dict    ):
          lowerCAmelCase				:			List[Any]    			=      Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
          lowerCAmelCase				:			Union[str, Any]    			=      self.remote_tool(image=UpperCAmelCase_    ,				label='cat'    )
          self.assertTrue(isinstance(UpperCAmelCase_    ,				Image.Image    )    )
  
  
  
  
  
  
style_context: 
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  __A   :     List[Any]      =			{'''configuration_umt5''': ['''UMT5Config''', '''UMT5OnnxConfig''']}
  
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   __A   :     Tuple      =			[
       '''UMT5EncoderModel''',
       '''UMT5ForConditionalGeneration''',
       '''UMT5ForQuestionAnswering''',
       '''UMT5Model''',
       '''UMT5PreTrainedModel''',
   ]
  
  if TYPE_CHECKING:
   from .configuration_umta import UMTaConfig, UMTaOnnxConfig
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_umta import (
        UMTaEncoderModel,
        UMTaForConditionalGeneration,
        UMTaForQuestionAnswering,
        UMTaModel,
        UMTaPreTrainedModel,
    )
  else:
   import sys
  
   __A   :     Any      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  