


# 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__)




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()

