from typing import TYPE_CHECKING

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__snake_case			      =    {
    '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:
     __snake_case			      =    ['DocumentQuestionAnsweringTool']
     __snake_case			      =    ['ImageCaptioningTool']
     __snake_case			      =    ['ImageQuestionAnsweringTool']
     __snake_case			      =    ['ImageSegmentationTool']
     __snake_case			      =    ['SpeechToTextTool']
     __snake_case			      =    ['TextClassificationTool']
     __snake_case			      =    ['TextQuestionAnsweringTool']
     __snake_case			      =    ['TextSummarizationTool']
     __snake_case			      =    ['TextToSpeechTool']
     __snake_case			      =    ['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

     __snake_case			      =    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

import math





def   lowerCAmelCase_ (				__lowerCAmelCase						)->  list[int]:






      '''simple docstring'''





      if not isinstance(__lowerCAmelCase		,					__lowerCAmelCase						):
            UpperCAmelCase    : Union[str, Any]      =f'''Input value of [number={number}] must be an integer'''
            raise TypeError(__lowerCAmelCase						)
      if number < 1:
            UpperCAmelCase    : Dict      =f'''Input value of [number={number}] must be a positive integer'''
            raise ValueError(__lowerCAmelCase						)
      UpperCAmelCase    : Dict      =[number]
      while number != 1:
            if number % 2 == 0:
                  UpperCAmelCase    : Optional[Any]      =math.floor(math.sqrt(__lowerCAmelCase						)						)
            else:
                  UpperCAmelCase    : List[str]      =math.floor(
                      math.sqrt(__lowerCAmelCase						) * math.sqrt(__lowerCAmelCase						) * math.sqrt(__lowerCAmelCase						)						)
            sequence.append(__lowerCAmelCase						)
      return sequence


if __name__ == "__main__":
     import doctest

     doctest.testmod()
