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     ,						lowerCamelCase_    ):
  
  
  
  
  
  	def 	A_(       self			)     ->				int:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	load_tool('image-question-answering'			)
  				self.tool.setup()
  				SCREAMING_SNAKE_CASE_			=	load_tool('image-question-answering'			,    remote=SCREAMING_SNAKE_CASE			)
  
  
  
  
  
  	def 	A_(       self			)     ->				Optional[Any]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'			)			) / '000000039769.png'			)
  				SCREAMING_SNAKE_CASE_			=	self.tool(SCREAMING_SNAKE_CASE			,    'How many cats are sleeping on the couch?'			)
  				self.assertEqual(SCREAMING_SNAKE_CASE			,    '2'			)
  
  
  
  
  
  	def 	A_(       self			)     ->				Tuple:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'			)			) / '000000039769.png'			)
  				SCREAMING_SNAKE_CASE_			=	self.remote_tool(SCREAMING_SNAKE_CASE			,    'How many cats are sleeping on the couch?'			)
  				self.assertEqual(SCREAMING_SNAKE_CASE			,    '2'			)
  
  
  
  
  
  	def 	A_(       self			)     ->				Union[str, Any]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'			)			) / '000000039769.png'			)
  				SCREAMING_SNAKE_CASE_			=	self.tool(image=SCREAMING_SNAKE_CASE			,    question='How many cats are sleeping on the couch?'			)
  				self.assertEqual(SCREAMING_SNAKE_CASE			,    '2'			)
  
  
  
  
  
  	def 	A_(       self			)     ->				List[Any]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'			)			) / '000000039769.png'			)
  				SCREAMING_SNAKE_CASE_			=	self.remote_tool(image=SCREAMING_SNAKE_CASE			,    question='How many cats are sleeping on the couch?'			)
  				self.assertEqual(SCREAMING_SNAKE_CASE			,    '2'			)
  
style_context: 
  
  
  
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					[{"type": "code", "content": INSTALL_CONTENT}]
  SCREAMING_SNAKE_CASE__    :    List[Any]								=					{
      "{processor_class}": "FakeProcessorClass",
      "{model_class}": "FakeModelClass",
      "{object_class}": "FakeObjectClass",
  }
  