code: 
  
  
  
  
  
  '''simple docstring'''
  
  from typing import TYPE_CHECKING
  
  from ..utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  lowercase_       =				{
      """agents""": ["""Agent""", """AzureOpenAiAgent""", """HfAgent""", """LocalAgent""", """OpenAiAgent"""],
      """base""": ["""PipelineTool""", """RemoteTool""", """Tool""", """launch_gradio_demo""", """load_tool"""],
  }
  
  try:
        if not is_torch_available():
              raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
        pass
  else:
        lowercase_       =				["""DocumentQuestionAnsweringTool"""]
        lowercase_       =				["""ImageCaptioningTool"""]
        lowercase_       =				["""ImageQuestionAnsweringTool"""]
        lowercase_       =				["""ImageSegmentationTool"""]
        lowercase_       =				["""SpeechToTextTool"""]
        lowercase_       =				["""TextClassificationTool"""]
        lowercase_       =				["""TextQuestionAnsweringTool"""]
        lowercase_       =				["""TextSummarizationTool"""]
        lowercase_       =				["""TextToSpeechTool"""]
        lowercase_       =				["""TranslationTool"""]
  
  if TYPE_CHECKING:
        from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
        from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool
  
        try:
              if not is_torch_available():
                    raise OptionalDependencyNotAvailable()
        except OptionalDependencyNotAvailable:
              pass
        else:
              from .document_question_answering import DocumentQuestionAnsweringTool
              from .image_captioning import ImageCaptioningTool
              from .image_question_answering import ImageQuestionAnsweringTool
              from .image_segmentation import ImageSegmentationTool
              from .speech_to_text import SpeechToTextTool
              from .text_classification import TextClassificationTool
              from .text_question_answering import TextQuestionAnsweringTool
              from .text_summarization import TextSummarizationTool
              from .text_to_speech import TextToSpeechTool
              from .translation import TranslationTool
  else:
        import sys
  
        lowercase_       =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  import safs
  
  
  class       a_  (       safs.SaFileSystem ):
  
      '''simple docstring'''
  
  
  
  