





def  A					(				UpperCAmelCase	,	UpperCAmelCase	,	UpperCAmelCase	,	UpperCAmelCase					):
					if start == end:
										return start if lst[start] > item else start + 1
					if start > end:
										return start

					_snake_case							:       Any												= (start + end) // 2
					if lst[mid] < item:
										return binary_search(lowercase__	,	lowercase__	,	mid + 1	,	lowercase__					)
					elif lst[mid] > item:
										return binary_search(lowercase__	,	lowercase__	,	lowercase__	,	mid - 1					)
					else:
										return mid







def  A					(				UpperCAmelCase					):
					_snake_case							:       Dict												= len(lowercase__					)

					for index in range(1	,	lowercase__					):
										_snake_case							:       Dict												= lst[index]
										_snake_case							:       Optional[Any]												= binary_search(lowercase__	,	lowercase__	,	0	,	index - 1					)
										_snake_case							:       List[Any]												= lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

					return lst







def  A					(				UpperCAmelCase	,	UpperCAmelCase					):
					if not left:
										return right

					if not right:
										return left

					if left[0] < right[0]:
										return [left[0], *merge(left[1:]	,	lowercase__					)]

					return [right[0], *merge(lowercase__	,	right[1:]					)]







def  A					(				UpperCAmelCase					):
					_snake_case							:       Any												= len(lowercase__					)
					_snake_case							,			_snake_case							:       str												= [], []
					_snake_case							:       str												= [lst[0]]
					_snake_case							:       int												= []
					_snake_case							:       Dict												= 1
					while i < length:
										if lst[i] < lst[i - 1]:
															runs.append(lowercase__					)
															_snake_case							:       Any												= [lst[i]]
										else:
															new_run.append(lst[i]					)
										i += 1
					runs.append(lowercase__					)

					for run in runs:
										sorted_runs.append(insertion_sort(lowercase__					)					)
					for run in sorted_runs:
										_snake_case							:       Tuple												= merge(lowercase__	,	lowercase__					)

					return sorted_array







def  A					(				):
					_snake_case							:       Union[str, Any]												= [5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
					_snake_case							:       Optional[int]												= tim_sort(lowercase__					)
					print(lowercase__					)


if __name__ == "__main__":
							main()




# 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__)





