code: 
  # Copyright 2023 The HuggingFace Inc. team. All rights reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  from typing import TYPE_CHECKING
  
  from ..utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  UpperCamelCase_	:    Any  					=       {
      """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:
  			UpperCamelCase_	:    Dict  					=       ["""DocumentQuestionAnsweringTool"""]
  			UpperCamelCase_	:    Tuple  					=       ["""ImageCaptioningTool"""]
  			UpperCamelCase_	:    Tuple  					=       ["""ImageQuestionAnsweringTool"""]
  			UpperCamelCase_	:    int  					=       ["""ImageSegmentationTool"""]
  			UpperCamelCase_	:    List[str]  					=       ["""SpeechToTextTool"""]
  			UpperCamelCase_	:    Optional[Any]  					=       ["""TextClassificationTool"""]
  			UpperCamelCase_	:    Any  					=       ["""TextQuestionAnsweringTool"""]
  			UpperCamelCase_	:    Optional[Any]  					=       ["""TextSummarizationTool"""]
  			UpperCamelCase_	:    Dict  					=       ["""TextToSpeechTool"""]
  			UpperCamelCase_	:    str  					=       ["""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
  
  			UpperCamelCase_	:    int  					=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  
  
  
  
  
style_context: 
  from __future__ import annotations
  
  
  
  def 		UpperCamelCase    (					_UpperCAmelCase     :      list[int]   , _UpperCAmelCase     :      int     )      -> int:
  
  
  
  
  
  
  						'''simple docstring'''
  
  						_lowercase			,						_lowercase					:  Any    			=      0, len(_UpperCAmelCase     ) - 1
  						while start_ind <= end_ind:
  												if array[start_ind] == search_item:
  																		return start_ind
  												elif array[end_ind] == search_item:
  																		return end_ind
  												else:
  																		start_ind += 1
  																		end_ind -= 1
      # returns -1 if search_item is not found in array
  						return -1
  
  
  if __name__ == "__main__":
  							print(double_linear_search(list(range(100)), 40))
  
  
  
  
  