






"""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,
)


_snake_case       :      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:
						_snake_case       :      Union[str, Any]       =					["DocumentQuestionAnsweringTool"]
						_snake_case       :      Any       =					["ImageCaptioningTool"]
						_snake_case       :      str       =					["ImageQuestionAnsweringTool"]
						_snake_case       :      Any       =					["ImageSegmentationTool"]
						_snake_case       :      Optional[int]       =					["SpeechToTextTool"]
						_snake_case       :      str       =					["TextClassificationTool"]
						_snake_case       :      Optional[int]       =					["TextQuestionAnsweringTool"]
						_snake_case       :      int       =					["TextSummarizationTool"]
						_snake_case       :      Optional[int]       =					["TextToSpeechTool"]
						_snake_case       :      Any       =					["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       :      Any       =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)







"""simple docstring"""



from doctest import testmod
from math import sqrt




def 						lowerCamelCase_				(  __A  :		int			):
					lowerCamelCase__				=[]
					if num < 1:
										return facs
					facs.append(1			)
					if num == 1:
										return facs
					facs.append(__A			)
					for i in range(2			,	int(sqrt(__A			)			) + 1			):
										if num % i == 0:  # If i is a factor of num
															facs.append(__A			)
															lowerCamelCase__				=num // i  # num//i is the other factor of num
															if d != i:  # If d and i are distinct
																				facs.append(__A			)  # we have found another factor
					facs.sort()
					return facs


if __name__ == "__main__":
						testmod(name="factors_of_a_number", verbose=True)