






'''simple docstring'''







from collections import deque

from .hash_table import HashTable





class 						SCREAMING_SNAKE_CASE       (       SCREAMING_SNAKE_CASE_							):






			def __init__(			self   :      int	,    *__SCREAMING_SNAKE_CASE   :      int	,    **__SCREAMING_SNAKE_CASE   :      Dict       )      ->      Union[str, Any]:
							super().__init__(*__SCREAMING_SNAKE_CASE	,    **__SCREAMING_SNAKE_CASE       )






			def       SCREAMING_SNAKE_CASE   (			self   :      Optional[int]	,    __SCREAMING_SNAKE_CASE   :      Optional[int]	,    __SCREAMING_SNAKE_CASE   :      Any       )      ->      Optional[int]:
							a_		:	Tuple									=   deque([]       ) if self.values[key] is None else self.values[key]
							self.values[key].appendleft(__SCREAMING_SNAKE_CASE       )
							a_		:	str									=   self.values[key]






			def       SCREAMING_SNAKE_CASE   (			self   :      Optional[int]       )      ->      Union[str, Any]:
							return (
							    sum(self.charge_factor - len(__SCREAMING_SNAKE_CASE       ) for slot in self.values       )
							    / self.size_table
							    * self.charge_factor
							)







			def       SCREAMING_SNAKE_CASE   (			self   :      List[str]	,    __SCREAMING_SNAKE_CASE   :      str	,    __SCREAMING_SNAKE_CASE   :      List[str]=None       )      ->      Optional[Any]:
							if not (
							    len(self.values[key]       ) == self.charge_factor and self.values.count(__SCREAMING_SNAKE_CASE       ) == 0
							):
											return key
							return super()._collision_resolution(__SCREAMING_SNAKE_CASE	,    __SCREAMING_SNAKE_CASE       )












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

			snake_case__	=					["audio"]
			snake_case__	=					["text"]






			def       SCREAMING_SNAKE_CASE   (			self   :      str	,    __SCREAMING_SNAKE_CASE   :      Tuple       )      ->      str:
							return self.pre_processor(__SCREAMING_SNAKE_CASE	,    return_tensors='''pt'''       ).input_features






			def       SCREAMING_SNAKE_CASE   (			self   :      List[Any]	,    __SCREAMING_SNAKE_CASE   :      Optional[Any]       )      ->      List[str]:
							return self.model.generate(inputs=__SCREAMING_SNAKE_CASE       )







			def       SCREAMING_SNAKE_CASE   (			self   :      Dict	,    __SCREAMING_SNAKE_CASE   :      Optional[int]       )      ->      Optional[Any]:
							return self.pre_processor.batch_decode(__SCREAMING_SNAKE_CASE	,    skip_special_tokens=__SCREAMING_SNAKE_CASE       )[0]




