code: 
  
  from typing import Optional
  
  from ..utils.logging import get_logger
  from .audio_classificiation import AudioClassification
  from .automatic_speech_recognition import AutomaticSpeechRecognition
  from .base import TaskTemplate
  from .image_classification import ImageClassification
  from .language_modeling import LanguageModeling
  from .question_answering import QuestionAnsweringExtractive
  from .summarization import Summarization
  from .text_classification import TextClassification
  
  
  UpperCAmelCase_       :				Any		   =      [
      '''AutomaticSpeechRecognition''',
      '''AudioClassification''',
      '''ImageClassification''',
      '''LanguageModeling''',
      '''QuestionAnsweringExtractive''',
      '''Summarization''',
      '''TaskTemplate''',
      '''TextClassification''',
  ]
  
  UpperCAmelCase_       :				str		   =      get_logger(__name__)
  
  
  UpperCAmelCase_       :				Union[str, Any]		   =      {
      AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
      AudioClassification.task: AudioClassification,
      ImageClassification.task: ImageClassification,
      LanguageModeling.task: LanguageModeling,
      QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
      Summarization.task: Summarization,
      TextClassification.task: TextClassification,
  }
  def        __SCREAMING_SNAKE_CASE    (      a__						:      dict					)				->							Optional[TaskTemplate]:
  	__A   : int								= task_template_dict.get("""task"""					)
  	if task_name is None:
  		logger.warning(f"""Couldn't find template for task '{task_name}'. Available templates: {list(a__					)}"""					)
  		return None
  	__A   : Optional[int]								= NAMEaTEMPLATE.get(a__					)
  	return template.from_dict(a__					)
  
  
  
  
  
  
style_context: 
  
  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	,			_lowercase  ):
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : str								= load_tool("""image-captioning"""       )
  		self.tool.setup()
  		__A   : Dict								= load_tool("""image-captioning"""				,			remote=__A       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Optional[int]       ):
  		__A   : List[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : Optional[Any]								= self.tool(__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Dict       ):
  		__A   : Any								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : List[str]								= self.remote_tool(__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    Union[str, Any]       ):
  		__A   : Optional[Any]								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : str								= self.tool(image=__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    str       ):
  		__A   : Dict								= Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       )
  		__A   : List[Any]								= self.remote_tool(image=__A       )
  		self.assertEqual(__A				,			"""two cats sleeping on a couch"""       )
  
  
  
  
  
  