
from typing import List, Optional

import numpy as np

from ...processing_utils import ProcessorMixin
from ...utils import to_numpy





class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_    =					"EncodecFeatureExtractor"
	snake_case_    =					("T5Tokenizer", "T5TokenizerFast")






	def __init__(	self :			Optional[Any]							,A :			Tuple							,A :			Dict			):
					super().__init__(A							,A			)
					__A             =			self.feature_extractor
					__A             =			False






	def     UpperCamelCase_  (	self :			int							,A :			Tuple=None							,A :			int=None							,A :			List[str]=True			):
					return self.tokenizer.get_decoder_prompt_ids(task=A							,language=A							,no_timestamps=A			)






	def __call__(	self :			Optional[Any]							,*A :			Tuple							,**A :			int			):
					# For backward compatibility
					if self._in_target_context_manager:
									return self.current_processor(*A							,**A			)

					__A             =			kwargs.pop("audio"							,A			)
					__A             =			kwargs.pop("sampling_rate"							,A			)
					__A             =			kwargs.pop("text"							,A			)
					if len(A			) > 0:
									__A             =			args[0]
									__A             =			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 text is not None:
									__A             =			self.tokenizer(A							,**A			)

					if audio is not None:
									__A             =			self.feature_extractor(A							,*A							,sampling_rate=A							,**A			)

					if audio is None:
									return inputs

					elif text is None:
									return audio_inputs

					else:
									__A             =			audio_inputs["input_values"]
									if "padding_mask" in audio_inputs:
													__A             =			audio_inputs["padding_mask"]
									return inputs






	def     UpperCamelCase_  (	self :			Optional[int]							,*A :			List[str]							,**A :			Optional[int]			):
					__A             =			kwargs.pop("audio"							,A			)
					__A             =			kwargs.pop("padding_mask"							,A			)

					if len(A			) > 0:
									__A             =			args[0]
									__A             =			args[1:]

					if audio_values is not None:
									return self._decode_audio(A							,padding_mask=A			)
					else:
									return self.tokenizer.batch_decode(*A							,**A			)






	def     UpperCamelCase_  (	self :			List[Any]							,*A :			Dict							,**A :			List[Any]			):
					return self.tokenizer.decode(*A							,**A			)







	def     UpperCamelCase_  (	self :			Dict							,A :			List[str]							,A :			Optional = None			):
					__A             =			to_numpy(A			)
					__A      ,							__A      ,							__A             =			audio_values.shape

					if padding_mask is None:
									return list(A			)

					__A             =			to_numpy(A			)

					# match the sequence length of the padding mask to the generated audio arrays by padding with the **non-padding**
					# token (so that the generated audio values are **not** treated as padded tokens)
					__A             =			seq_len - padding_mask.shape[-1]
					__A             =			1 - self.feature_extractor.padding_value
					__A             =			np.pad(A							,((0, 0), (0, difference))							,"constant"							,constant_values=A			)

					__A             =			audio_values.tolist()
					for i in range(A			):
									__A             =			np.asarray(audio_values[i]			)[
									    padding_mask[i][None, :] != self.feature_extractor.padding_value
									]
									__A             =			sliced_audio.reshape(A							,-1			)

					return audio_values


import copy
import re





class 							UpperCAmelCase				:




	'''simple docstring'''





	snake_case_    =					"hp"
	snake_case_    =					{}
	snake_case_    =					None






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict							,A :			Dict							,A :			Any			):
					__A             =			prefix
					__A             =			defaults
					cls.build_naming_info()






	@staticmethod
	def     UpperCamelCase_  (	A :			Dict							,A :			int			):
					if len(A			) == 0:
									return ""
					__A             =			None
					if any(char.isdigit() for char in word			):
									raise Exception(f'''Parameters should not contain numbers: \'{word}\' contains a number'''			)
					if word in info["short_word"]:
									return info["short_word"][word]
					for prefix_len in range(1							,len(A			) + 1			):
									__A             =			word[:prefix_len]
									if prefix in info["reverse_short_word"]:
													continue
									else:
													__A             =			prefix
													break

					if short_word is None:
									# Paranoid fallback
									def int_to_alphabetic(A :			str			):
													__A             =			""
													while integer != 0:
																	__A             =			chr(ord("A"			) + integer % 10			) + s
																	integer //= 10
													return s

									__A             =			0
									while True:
													__A             =			word + "#" + int_to_alphabetic(A			)
													if sword in info["reverse_short_word"]:
																	continue
													else:
																	__A             =			sword
																	break

					__A             =			short_word
					__A             =			word
					return short_word






	@staticmethod
	def     UpperCamelCase_  (	A :			int							,A :			Tuple			):
					__A             =			param_name.split("_"			)

					__A             =			[TrialShortNamer.shortname_for_word(A							,A			) for word in words]

					# We try to create a separatorless short name, but if there is a collision we have to fallback
					# to a separated short name
					__A             =			["", "_"]

					for separator in separators:
									__A             =			separator.join(A			)
									if shortname not in info["reverse_short_param"]:
													__A             =			shortname
													__A             =			param_name
													return shortname

					return param_name






	@staticmethod
	def     UpperCamelCase_  (	A :			Optional[Any]							,A :			Tuple			):
					__A             =			TrialShortNamer.shortname_for_key(A							,A			)
					__A             =			short_name
					__A             =			param_name






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict			):
					if cls.NAMING_INFO is not None:
									return

					__A             =			{
					    "short_word": {},
					    "reverse_short_word": {},
					    "short_param": {},
					    "reverse_short_param": {},
					}

					__A             =			list(cls.DEFAULTS.keys()			)

					for k in field_keys:
									cls.add_new_param_name(A							,A			)

					__A             =			info






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict							,A :			List[str]			):
					cls.build_naming_info()
					assert cls.PREFIX is not None
					__A             =			[copy.copy(cls.PREFIX			)]

					for k, v in params.items():
									if k not in cls.DEFAULTS:
													raise Exception(f'''You should provide a default value for the param name {k} with value {v}'''			)
									if v == cls.DEFAULTS[k]:
													# The default value is not added to the name
													continue

									__A             =			cls.NAMING_INFO["short_param"][k]

									if isinstance(A							,A			):
													__A             =			1 if v else 0

									__A             =			"" if isinstance(A							,(int, float)			) else "-"
									__A             =			f'''{key}{sep}{v}'''
									name.append(A			)

					return "_".join(A			)







	@classmethod
	def     UpperCamelCase_  (	cls :			Tuple							,A :			Tuple			):
					__A             =			repr[len(cls.PREFIX			) + 1 :]
					if repr == "":
									__A             =			[]
					else:
									__A             =			repr.split("_"			)

					__A             =			{}

					for value in values:
									if "-" in value:
													__A      ,							__A             =			value.split("-"			)
									else:
													__A             =			re.sub("[0-9.]"							,""							,A			)
													__A             =			float(re.sub("[^0-9.]"							,""							,A			)			)

									__A             =			cls.NAMING_INFO["reverse_short_param"][p_k]

									__A             =			p_v

					for k in cls.DEFAULTS:
									if k not in parameters:
													__A             =			cls.DEFAULTS[k]

					return parameters
