

'''simple docstring'''


import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin
from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
from .tokenization_wavaveca import WavaVecaCTCTokenizer



class 					lowercase						(  a_				):
							_lowerCamelCase		:      List[str]=   "Wav2Vec2FeatureExtractor"
							_lowerCamelCase		:      Any=   "AutoTokenizer"


							def __init__(			self    ,			_snake_case    ,			_snake_case)							->				List[str]:
								super().__init__(_snake_case    ,			_snake_case)
								UpperCAmelCase_		:      int       	=					self.feature_extractor
								UpperCAmelCase_		:      str       	=					False


							@classmethod
							def 						_snake_case							(			cls    ,			_snake_case    ,			**_snake_case)							->				List[Any]:
								try:
									return super().from_pretrained(_snake_case    ,			**_snake_case)
								except OSError:
									warnings.warn(
									    F"""Loading a tokenizer inside {cls.__name__} from a config that does not"""
									    ' include a `tokenizer_class` attribute is deprecated and will be '
									    'removed in v5. Please add `\'tokenizer_class\': \'Wav2Vec2CTCTokenizer\'`'
									    ' attribute to either your `config.json` or `tokenizer_config.json` '
									    'file to suppress this warning: '    ,			_snake_case    ,			)

									UpperCAmelCase_		:      Any       	=					WavaVecaFeatureExtractor.from_pretrained(_snake_case    ,			**_snake_case)
									UpperCAmelCase_		:      List[str]       	=					WavaVecaCTCTokenizer.from_pretrained(_snake_case    ,			**_snake_case)

									return cls(feature_extractor=_snake_case    ,			tokenizer=_snake_case)


							def __call__(			self    ,			*_snake_case    ,			**_snake_case)							->				Optional[Any]:
								# For backward compatibility
								if self._in_target_context_manager:
									return self.current_processor(*_snake_case    ,			**_snake_case)

								if "raw_speech" in kwargs:
									warnings.warn('Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead.')
									UpperCAmelCase_		:      List[str]       	=					kwargs.pop('raw_speech')
								else:
									UpperCAmelCase_		:      Dict       	=					kwargs.pop('audio'    ,			_snake_case)
								UpperCAmelCase_		:      str       	=					kwargs.pop('sampling_rate'    ,			_snake_case)
								UpperCAmelCase_		:      List[str]       	=					kwargs.pop('text'    ,			_snake_case)
								if len(_snake_case) > 0:
									UpperCAmelCase_		:      List[str]       	=					args[0]
									UpperCAmelCase_		:      Tuple       	=					args[1:]

								if audio is None and text is None:
									raise ValueError('You need to specify either an `audio` or `text` input to process.')

								if audio is not None:
									UpperCAmelCase_		:      Union[str, Any]       	=					self.feature_extractor(_snake_case    ,			*_snake_case    ,			sampling_rate=_snake_case    ,			**_snake_case)
								if text is not None:
									UpperCAmelCase_		:      Optional[int]       	=					self.tokenizer(_snake_case    ,			**_snake_case)

								if text is None:
									return inputs
								elif audio is None:
									return encodings
								else:
									UpperCAmelCase_		:      List[str]       	=					encodings['input_ids']
									return inputs


							def 						_snake_case							(			self    ,			*_snake_case    ,			**_snake_case)							->				str:
								# For backward compatibility
								if self._in_target_context_manager:
									return self.current_processor.pad(*_snake_case    ,			**_snake_case)

								UpperCAmelCase_		:      Union[str, Any]       	=					kwargs.pop('input_features'    ,			_snake_case)
								UpperCAmelCase_		:      Dict       	=					kwargs.pop('labels'    ,			_snake_case)
								if len(_snake_case) > 0:
									UpperCAmelCase_		:      Optional[Any]       	=					args[0]
									UpperCAmelCase_		:      int       	=					args[1:]

								if input_features is not None:
									UpperCAmelCase_		:      Dict       	=					self.feature_extractor.pad(_snake_case    ,			*_snake_case    ,			**_snake_case)
								if labels is not None:
									UpperCAmelCase_		:      Union[str, Any]       	=					self.tokenizer.pad(_snake_case    ,			**_snake_case)

								if labels is None:
									return input_features
								elif input_features is None:
									return labels
								else:
									UpperCAmelCase_		:      Union[str, Any]       	=					labels['input_ids']
									return input_features


							def 						_snake_case							(			self    ,			*_snake_case    ,			**_snake_case)							->				Dict:
								return self.tokenizer.batch_decode(*_snake_case    ,			**_snake_case)


							def 						_snake_case							(			self    ,			*_snake_case    ,			**_snake_case)							->				Tuple:
								return self.tokenizer.decode(*_snake_case    ,			**_snake_case)





							@contextmanager
							def 						_snake_case							(			self)							->				Tuple:
								warnings.warn(
								    '`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your '
								    'labels by using the argument `text` of the regular `__call__` method (either in the same call as '
								    'your audio inputs, or in a separate call.')
								UpperCAmelCase_		:      Optional[Any]       	=					True
								UpperCAmelCase_		:      Tuple       	=					self.tokenizer
								yield
								UpperCAmelCase_		:      Tuple       	=					self.feature_extractor
								UpperCAmelCase_		:      Tuple       	=					False









'''simple docstring'''


class 					lowercase						:


							def __init__(			self)							->				Dict:
								UpperCAmelCase_		:      List[str]       	=					0
								UpperCAmelCase_		:      str       	=					0
								UpperCAmelCase_		:      Union[str, Any]       	=					{}


							def 						_snake_case							(			self    ,			_snake_case)							->				Tuple:
								if vertex not in self.adjacency:
									UpperCAmelCase_		:      Tuple       	=					{}
									self.num_vertices += 1


							def 						_snake_case							(			self    ,			_snake_case    ,			_snake_case    ,			_snake_case)							->				Any:
								self.add_vertex(_snake_case)
								self.add_vertex(_snake_case)

								if head == tail:
									return

								UpperCAmelCase_		:      str       	=					weight
								UpperCAmelCase_		:      Optional[int]       	=					weight


							def 						_snake_case							(			self)							->				Union[str, Any]:
								UpperCAmelCase_		:      Dict       	=					self.get_edges()
								for edge in edges:
									UpperCAmelCase_	,    UpperCAmelCase_	,    UpperCAmelCase_		:      str       	=					edge
									edges.remove((tail, head, weight))
								for i in range(len(_snake_case)):
									UpperCAmelCase_		:      Union[str, Any]       	=					list(edges[i])

								edges.sort(key=lambda _snake_case: e[2])
								for i in range(len(_snake_case) - 1):
									if edges[i][2] >= edges[i + 1][2]:
										UpperCAmelCase_		:      Tuple       	=					edges[i][2] + 1
								for edge in edges:
									UpperCAmelCase_	,    UpperCAmelCase_	,    UpperCAmelCase_		:      List[Any]       	=					edge
									UpperCAmelCase_		:      Any       	=					weight
									UpperCAmelCase_		:      Union[str, Any]       	=					weight


							def __str__(			self)							->				str:
								UpperCAmelCase_		:      int       	=					''
								for tail in self.adjacency:
									for head in self.adjacency[tail]:
										UpperCAmelCase_		:      Dict       	=					self.adjacency[head][tail]
										string += F"""{head} -> {tail} == {weight}\n"""
								return string.rstrip('\n')


							def 						_snake_case							(			self)							->				str:
								UpperCAmelCase_		:      Optional[int]       	=					[]
								for tail in self.adjacency:
									for head in self.adjacency[tail]:
										output.append((tail, head, self.adjacency[head][tail]))
								return output


							def 						_snake_case							(			self)							->				Any:
								return self.adjacency.keys()


							@staticmethod
							def 						_snake_case							(			_snake_case=None    ,			_snake_case=None)							->				Dict:
								UpperCAmelCase_		:      List[str]       	=					Graph()
								if vertices is None:
									UpperCAmelCase_		:      Optional[Any]       	=					[]
								if edges is None:
									UpperCAmelCase_		:      int       	=					[]
								for vertex in vertices:
									g.add_vertex(_snake_case)
								for edge in edges:
									g.add_edge(*_snake_case)
								return g



							class 					lowercase						:


														def __init__(			self)							->				Dict:
															UpperCAmelCase_		:      Tuple       	=					{}
															UpperCAmelCase_		:      str       	=					{}


														def __len__(			self)							->				List[Any]:
															return len(self.parent)


														def 						_snake_case							(			self    ,			_snake_case)							->				Union[str, Any]:
															if item in self.parent:
																return self.find(_snake_case)

															UpperCAmelCase_		:      Any       	=					item
															UpperCAmelCase_		:      List[str]       	=					0
															return item


														def 						_snake_case							(			self    ,			_snake_case)							->				str:
															if item not in self.parent:
																return self.make_set(_snake_case)
															if item != self.parent[item]:
																UpperCAmelCase_		:      Dict       	=					self.find(self.parent[item])
															return self.parent[item]





														def 						_snake_case							(			self    ,			_snake_case    ,			_snake_case)							->				int:
															UpperCAmelCase_		:      List[str]       	=					self.find(_snake_case)
															UpperCAmelCase_		:      List[str]       	=					self.find(_snake_case)

															if roota == roota:
																return roota

															if self.rank[roota] > self.rank[roota]:
																UpperCAmelCase_		:      int       	=					roota
																return roota

															if self.rank[roota] < self.rank[roota]:
																UpperCAmelCase_		:      Dict       	=					roota
																return roota

															if self.rank[roota] == self.rank[roota]:
																self.rank[roota] += 1
																UpperCAmelCase_		:      Any       	=					roota
																return roota
															return None


							@staticmethod
							def 						_snake_case							(			_snake_case)							->				int:
								UpperCAmelCase_		:      Optional[Any]       	=					graph.num_vertices

								UpperCAmelCase_		:      Optional[int]       	=					Graph.UnionFind()
								UpperCAmelCase_		:      int       	=					[]
								while num_components > 1:
									UpperCAmelCase_		:      Any       	=					{}
									for vertex in graph.get_vertices():
										UpperCAmelCase_		:      Optional[Any]       	=					-1

									UpperCAmelCase_		:      List[str]       	=					graph.get_edges()
									for edge in edges:
										UpperCAmelCase_	,    UpperCAmelCase_	,    UpperCAmelCase_		:      List[str]       	=					edge
										edges.remove((tail, head, weight))
									for edge in edges:
										UpperCAmelCase_	,    UpperCAmelCase_	,    UpperCAmelCase_		:      Union[str, Any]       	=					edge
										UpperCAmelCase_		:      Any       	=					union_find.find(_snake_case)
										UpperCAmelCase_		:      Dict       	=					union_find.find(_snake_case)
										if seta != seta:
											if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
												UpperCAmelCase_		:      List[str]       	=					[head, tail, weight]

											if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
												UpperCAmelCase_		:      str       	=					[head, tail, weight]
									for vertex in cheap_edge:
										if cheap_edge[vertex] != -1:
											UpperCAmelCase_	,    UpperCAmelCase_	,    UpperCAmelCase_		:      Any       	=					cheap_edge[vertex]
											if union_find.find(_snake_case) != union_find.find(_snake_case):
												union_find.union(_snake_case    ,			_snake_case)
												mst_edges.append(cheap_edge[vertex])
												UpperCAmelCase_		:      Tuple       	=					num_components - 1
								UpperCAmelCase_		:      int       	=					Graph.build(edges=_snake_case)
								return mst






