
from collections.abc import Callable





class 			_lowerCAmelCase      :




				def __init__(      self       ,       _UpperCamelCase = None  )       ->   None:
							# Stores actual heap items.
							lowerCAmelCase_      			=			[]
							# Stores indexes of each item for supporting updates and deletion.
							lowerCAmelCase_      			=			{}
							# Stores current size of heap.
							lowerCAmelCase_      			=			0
							# Stores function used to evaluate the score of an item on which basis ordering
							# will be done.
							lowerCAmelCase_      			=			key or (lambda _UpperCamelCase  : x)




				def   __a		(      self       ,       _UpperCamelCase  )       ->   int | None:
							return int((i - 1) / 2  ) if i > 0 else None




				def   __a		(      self       ,       _UpperCamelCase  )       ->   int | None:
							lowerCAmelCase_      			=			int(2 * i + 1  )
							return left if 0 < left < self.size else None




				def   __a		(      self       ,       _UpperCamelCase  )       ->   int | None:
							lowerCAmelCase_      			=			int(2 * i + 2  )
							return right if 0 < right < self.size else None




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   None:
							lowerCAmelCase_			,						lowerCAmelCase_      			=			(
							    self.pos_map[self.arr[j][0]],
							    self.pos_map[self.arr[i][0]],
							)
							# Then swap the items in the list.
							lowerCAmelCase_			,						lowerCAmelCase_      			=			self.arr[j], self.arr[i]




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   bool:
							return self.arr[i][1] < self.arr[j][1]




				def   __a		(      self       ,       _UpperCamelCase  )       ->   int:
							lowerCAmelCase_      			=			self._left(_UpperCamelCase  )
							lowerCAmelCase_      			=			self._right(_UpperCamelCase  )
							lowerCAmelCase_      			=			i

							if left is not None and not self._cmp(_UpperCamelCase       ,       _UpperCamelCase  ):
										lowerCAmelCase_      			=			left
							if right is not None and not self._cmp(_UpperCamelCase       ,       _UpperCamelCase  ):
										lowerCAmelCase_      			=			right

							return valid_parent




				def   __a		(      self       ,       _UpperCamelCase  )       ->   None:
							lowerCAmelCase_      			=			self._parent(_UpperCamelCase  )
							while parent is not None and not self._cmp(_UpperCamelCase       ,       _UpperCamelCase  ):
										self._swap(_UpperCamelCase       ,       _UpperCamelCase  )
										lowerCAmelCase_			,						lowerCAmelCase_      			=			parent, self._parent(_UpperCamelCase  )




				def   __a		(      self       ,       _UpperCamelCase  )       ->   None:
							lowerCAmelCase_      			=			self._get_valid_parent(_UpperCamelCase  )
							while valid_parent != index:
										self._swap(_UpperCamelCase       ,       _UpperCamelCase  )
										lowerCAmelCase_			,						lowerCAmelCase_      			=			valid_parent, self._get_valid_parent(_UpperCamelCase  )




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   None:
							if item not in self.pos_map:
										return
							lowerCAmelCase_      			=			self.pos_map[item]
							lowerCAmelCase_      			=			[item, self.key(_UpperCamelCase  )]
							# Make sure heap is right in both up and down direction.
							# Ideally only one of them will make any change.
							self._heapify_up(_UpperCamelCase  )
							self._heapify_down(_UpperCamelCase  )




				def   __a		(      self       ,       _UpperCamelCase  )       ->   None:
							if item not in self.pos_map:
										return
							lowerCAmelCase_      			=			self.pos_map[item]
							del self.pos_map[item]
							lowerCAmelCase_      			=			self.arr[self.size - 1]
							lowerCAmelCase_      			=			index
							self.size -= 1
							# Make sure heap is right in both up and down direction. Ideally only one
							# of them will make any change- so no performance loss in calling both.
							if self.size > index:
										self._heapify_up(_UpperCamelCase  )
										self._heapify_down(_UpperCamelCase  )




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   None:
							lowerCAmelCase_      			=			len(self.arr  )
							if arr_len == self.size:
										self.arr.append([item, self.key(_UpperCamelCase  )]  )
							else:
										lowerCAmelCase_      			=			[item, self.key(_UpperCamelCase  )]
							lowerCAmelCase_      			=			self.size
							self.size += 1
							self._heapify_up(self.size - 1  )




				def   __a		(      self  )       ->   tuple | None:
							return self.arr[0] if self.size else None




				def   __a		(      self  )       ->   tuple | None:
							lowerCAmelCase_      			=			self.get_top()
							if top_item_tuple:
										self.delete_item(top_item_tuple[0]  )
							return top_item_tuple






def      lowerCamelCase__       (       ):




			"""simple docstring"""




if __name__ == "__main__":
			import doctest

			doctest.testmod()





from ...processing_utils import ProcessorMixin





class 			_lowerCAmelCase      (			__a ):
				_lowercase    	='''SpeechT5FeatureExtractor'''
				_lowercase    	='''SpeechT5Tokenizer'''




				def __init__(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   int:
							super().__init__(_UpperCamelCase       ,       _UpperCamelCase  )




				def __call__(      self       ,       *_UpperCamelCase       ,       **_UpperCamelCase  )       ->   Optional[int]:
							lowerCAmelCase_      			=			kwargs.pop("audio"       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			kwargs.pop("text"       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			kwargs.pop("text_target"       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			kwargs.pop("audio_target"       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			kwargs.pop("sampling_rate"       ,       _UpperCamelCase  )

							if audio is not None and text is not None:
										raise ValueError(
										    "Cannot process both `audio` and `text` inputs. Did you mean `audio_target` or `text_target`?"  )
							if audio_target is not None and text_target is not None:
										raise ValueError(
										    "Cannot process both `audio_target` and `text_target` inputs. Did you mean `audio` or `text`?"  )
							if audio is None and audio_target is None and text is None and text_target is None:
										raise ValueError(
										    "You need to specify either an `audio`, `audio_target`, `text`, or `text_target` input to process."  )

							if audio is not None:
										lowerCAmelCase_      			=			self.feature_extractor(_UpperCamelCase       ,       *_UpperCamelCase       ,       sampling_rate=_UpperCamelCase       ,       **_UpperCamelCase  )
							elif text is not None:
										lowerCAmelCase_      			=			self.tokenizer(_UpperCamelCase       ,       **_UpperCamelCase  )
							else:
										lowerCAmelCase_      			=			None

							if audio_target is not None:
										lowerCAmelCase_      			=			self.feature_extractor(audio_target=_UpperCamelCase       ,       *_UpperCamelCase       ,       sampling_rate=_UpperCamelCase       ,       **_UpperCamelCase  )
										lowerCAmelCase_      			=			targets["input_values"]
							elif text_target is not None:
										lowerCAmelCase_      			=			self.tokenizer(_UpperCamelCase       ,       **_UpperCamelCase  )
										lowerCAmelCase_      			=			targets["input_ids"]
							else:
										lowerCAmelCase_      			=			None

							if inputs is None:
										return targets

							if targets is not None:
										lowerCAmelCase_      			=			labels

										lowerCAmelCase_      			=			targets.get("attention_mask"  )
										if decoder_attention_mask is not None:
													lowerCAmelCase_      			=			decoder_attention_mask

							return inputs




				def   __a		(      self       ,       *_UpperCamelCase       ,       **_UpperCamelCase  )       ->   str:
							lowerCAmelCase_      			=			kwargs.pop("input_values"       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			kwargs.pop("input_ids"       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			kwargs.pop("labels"       ,       _UpperCamelCase  )

							if input_values is not None and input_ids is not None:
										raise ValueError("Cannot process both `input_values` and `input_ids` inputs."  )
							if input_values is None and input_ids is None and labels is None:
										raise ValueError(
										    "You need to specify either an `input_values`, `input_ids`, or `labels` input to be padded."  )

							if input_values is not None:
										lowerCAmelCase_      			=			self.feature_extractor.pad(_UpperCamelCase       ,       *_UpperCamelCase       ,       **_UpperCamelCase  )
							elif input_ids is not None:
										lowerCAmelCase_      			=			self.tokenizer.pad(_UpperCamelCase       ,       **_UpperCamelCase  )
							else:
										lowerCAmelCase_      			=			None

							if labels is not None:
										if "input_ids" in labels or (isinstance(_UpperCamelCase       ,       _UpperCamelCase  ) and "input_ids" in labels[0]):
													lowerCAmelCase_      			=			self.tokenizer.pad(_UpperCamelCase       ,       **_UpperCamelCase  )
													lowerCAmelCase_      			=			targets["input_ids"]
										else:
													lowerCAmelCase_      			=			self.feature_extractor.feature_size
													lowerCAmelCase_      			=			self.feature_extractor.num_mel_bins
													lowerCAmelCase_      			=			self.feature_extractor.pad(_UpperCamelCase       ,       *_UpperCamelCase       ,       **_UpperCamelCase  )
													lowerCAmelCase_      			=			feature_size_hack
													lowerCAmelCase_      			=			targets["input_values"]
							else:
										lowerCAmelCase_      			=			None

							if inputs is None:
										return targets

							if targets is not None:
										lowerCAmelCase_      			=			labels

										lowerCAmelCase_      			=			targets.get("attention_mask"  )
										if decoder_attention_mask is not None:
													lowerCAmelCase_      			=			decoder_attention_mask

							return inputs




				def   __a		(      self       ,       *_UpperCamelCase       ,       **_UpperCamelCase  )       ->   List[Any]:
							return self.tokenizer.batch_decode(*_UpperCamelCase       ,       **_UpperCamelCase  )




				def   __a		(      self       ,       *_UpperCamelCase       ,       **_UpperCamelCase  )       ->   Optional[Any]:
							return self.tokenizer.decode(*_UpperCamelCase       ,       **_UpperCamelCase  )



