






"""simple docstring"""





class       __A		:

					def __init__(			self  :      Any     ,		__snake_case  :      int					)			->							List[Any]:
											__magic_name__:	List[str]							=       val
											__magic_name__:	Union[str, Any]							=       None
											__magic_name__:	List[str]							=       None






					def   lowerCamelCase__   (			self  :      List[str]     ,		__snake_case  :      List[str]					)			->							Dict:
											if self.val:
																	if val < self.val:
																							if self.left is None:
																													__magic_name__:	Tuple							=       Node(__snake_case					)
																							else:
																													self.left.insert(__snake_case					)
																	elif val > self.val:
																							if self.right is None:
																													__magic_name__:	List[str]							=       Node(__snake_case					)
																							else:
																													self.right.insert(__snake_case					)
											else:
																	__magic_name__:	Tuple							=       val



def   a    (     __UpperCAmelCase      :    Optional[int]      ,   __UpperCAmelCase      :    List[Any]  )    ->							List[Any]:
						# Recursive traversal
						if root:
												inorder(root.left      ,   __UpperCAmelCase  )
												res.append(root.val  )
												inorder(root.right      ,   __UpperCAmelCase  )



def   a    (     __UpperCAmelCase      :    Tuple  )    ->							Union[str, Any]:
						# Build BST
						if len(__UpperCAmelCase  ) == 0:
												return arr
						__magic_name__:	List[str]							=       Node(arr[0]  )
						for i in range(1      ,   len(__UpperCAmelCase  )  ):
												root.insert(arr[i]  )
						# Traverse BST in order.
						__magic_name__:	Optional[int]							=       []
						inorder(__UpperCAmelCase      ,   __UpperCAmelCase  )
						return res


if __name__ == "__main__":
							print(tree_sort([10, 1, 3, 2, 9, 14, 13]))











"""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 ..models.whisper import WhisperForConditionalGeneration, WhisperProcessor
from .base import PipelineTool



class       __A		(   SCREAMING_SNAKE_CASE_			):
					UpperCAmelCase__								=				"openai/whisper-base"
					UpperCAmelCase__								=				(
					    "This is a tool that transcribes an audio into text. It takes an input named `audio` and returns the "
					    "transcribed text."
					)
					UpperCAmelCase__								=				"transcriber"
					UpperCAmelCase__								=				WhisperProcessor
					UpperCAmelCase__								=				WhisperForConditionalGeneration

					UpperCAmelCase__								=				["audio"]
					UpperCAmelCase__								=				["text"]

					def   lowerCamelCase__   (			self  :      Dict     ,		__snake_case  :      List[str]					)			->							Dict:
											return self.pre_processor(__snake_case     ,		return_tensors="""pt"""					).input_features

					def   lowerCamelCase__   (			self  :      int     ,		__snake_case  :      Union[str, Any]					)			->							List[str]:
											return self.model.generate(inputs=__snake_case					)






					def   lowerCamelCase__   (			self  :      Union[str, Any]     ,		__snake_case  :      List[Any]					)			->							Any:
											return self.pre_processor.batch_decode(__snake_case     ,		skip_special_tokens=__snake_case					)[0]



