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,
  )
  
  
  __a   				=      {
      '''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:
    __a   				=      ['''DocumentQuestionAnsweringTool''']
    __a   				=      ['''ImageCaptioningTool''']
    __a   				=      ['''ImageQuestionAnsweringTool''']
    __a   				=      ['''ImageSegmentationTool''']
    __a   				=      ['''SpeechToTextTool''']
    __a   				=      ['''TextClassificationTool''']
    __a   				=      ['''TextQuestionAnsweringTool''']
    __a   				=      ['''TextSummarizationTool''']
    __a   				=      ['''TextToSpeechTool''']
    __a   				=      ['''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
  
    __a   				=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
style_context: 
  
  
  from __future__ import annotations
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase     )    ->list[int]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        assert (
            isinstance(_UpperCamelCase,    _UpperCamelCase     ) and mask > 0
        ), f"""mask needs to be positive integer, your input {mask}"""
        lowercase			:   Optional[int]					   =		[]
        lowercase			:   Optional[int]					   =		mask
  
        while submask:
              all_submasks.append(_UpperCamelCase     )
              lowercase			:   Dict					   =		(submask - 1) & mask
  
        return all_submasks
  
  
  if __name__ == "__main__":
    import doctest
  
    doctest.testmod()
  
  