






import math
from timeit import timeit






def     A(  snake_case_		):
       """simple docstring"""





       lowercase__:    Optional[Any]        =      0
       lowercase__:    Optional[int]        =      abs(snake_case_		)
       while True:
              lowercase__:    Union[str, Any]        =      n // 10
              digits += 1
              if n == 0:
                     break
       return digits






def     A(  snake_case_		):
       """simple docstring"""





       return 1 if n == 0 else math.floor(math.log(abs(snake_case_		)						,       10		) + 1		)






def     A(  snake_case_		):
       """simple docstring"""





       return len(str(abs(snake_case_		)		)		)






def     A(  ):
       """simple docstring"""





       from collections.abc import Callable

       def benchmark_a_function(snake_case_						,       snake_case_		) -> None:
              lowercase__:    str        =      F"""{func.__name__}({value})"""
              lowercase__:    List[Any]        =      timeit(F"""__main__.{call}"""						,       setup="import __main__"		)
              print(F"""{call}: {func(snake_case_		)} -- {timing} seconds"""		)

       for value in (262144, 1125899906842624, 1267650600228229401496703205376):
              for func in (num_digits, num_digits_fast, num_digits_faster):
                     benchmark_a_function(snake_case_						,       snake_case_		)
              print()


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  benchmark()














"""simple docstring"""





# 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			=      {
    """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			=      ["""DocumentQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageCaptioningTool"""]
  UpperCamelCase			=      ["""ImageQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""ImageSegmentationTool"""]
  UpperCamelCase			=      ["""SpeechToTextTool"""]
  UpperCamelCase			=      ["""TextClassificationTool"""]
  UpperCamelCase			=      ["""TextQuestionAnsweringTool"""]
  UpperCamelCase			=      ["""TextSummarizationTool"""]
  UpperCamelCase			=      ["""TextToSpeechTool"""]
  UpperCamelCase			=      ["""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			=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






