



"""simple docstring"""






from typing import List, Optional

import numpy as np

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



class      A__  (    __SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      'EncodecFeatureExtractor'
	SCREAMING_SNAKE_CASE        =      ('T5Tokenizer', 'T5TokenizerFast')

	def __init__(	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						Tuple			,     _SCREAMING_SNAKE_CASE:						List[Any])							->			Any:

				"""simple docstring"""

				super().__init__(_SCREAMING_SNAKE_CASE			,     _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Optional[Any]				=			self.feature_extractor
				__lowerCAmelCase :    Dict				=			False

	def 				_SCREAMING_SNAKE_CASE  (	self:						Any			,     _SCREAMING_SNAKE_CASE:						Optional[Any]=None			,     _SCREAMING_SNAKE_CASE:						List[Any]=None			,     _SCREAMING_SNAKE_CASE:						Dict=True)							->			Dict:

				"""simple docstring"""

				return self.tokenizer.get_decoder_prompt_ids(task=_SCREAMING_SNAKE_CASE			,     language=_SCREAMING_SNAKE_CASE			,     no_timestamps=_SCREAMING_SNAKE_CASE)

	def __call__(	self:						Optional[Any]			,     *_SCREAMING_SNAKE_CASE:						Tuple			,     **_SCREAMING_SNAKE_CASE:						int)							->			Dict:

				"""simple docstring"""

				if self._in_target_context_manager:
							return self.current_processor(*_SCREAMING_SNAKE_CASE			,     **_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    str				=			kwargs.pop("audio"			,     _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Dict				=			kwargs.pop("sampling_rate"			,     _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    Union[str, Any]				=			kwargs.pop("text"			,     _SCREAMING_SNAKE_CASE)
				if len(_SCREAMING_SNAKE_CASE) > 0:
							__lowerCAmelCase :    str				=			args[0]
							__lowerCAmelCase :    str				=			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:
							__lowerCAmelCase :    Optional[int]				=			self.tokenizer(_SCREAMING_SNAKE_CASE			,     **_SCREAMING_SNAKE_CASE)

				if audio is not None:
							__lowerCAmelCase :    Tuple				=			self.feature_extractor(_SCREAMING_SNAKE_CASE			,     *_SCREAMING_SNAKE_CASE			,     sampling_rate=_SCREAMING_SNAKE_CASE			,     **_SCREAMING_SNAKE_CASE)

				if audio is None:
							return inputs

				elif text is None:
							return audio_inputs

				else:
							__lowerCAmelCase :    List[str]				=			audio_inputs["input_values"]
							if "padding_mask" in audio_inputs:
										__lowerCAmelCase :    Dict				=			audio_inputs["padding_mask"]
							return inputs

	def 				_SCREAMING_SNAKE_CASE  (	self:						str			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						str)							->			str:

				"""simple docstring"""

				__lowerCAmelCase :    int				=			kwargs.pop("audio"			,     _SCREAMING_SNAKE_CASE)
				__lowerCAmelCase :    int				=			kwargs.pop("padding_mask"			,     _SCREAMING_SNAKE_CASE)

				if len(_SCREAMING_SNAKE_CASE) > 0:
							__lowerCAmelCase :    Union[str, Any]				=			args[0]
							__lowerCAmelCase :    Any				=			args[1:]

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

	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple			,     *_SCREAMING_SNAKE_CASE:						Dict			,     **_SCREAMING_SNAKE_CASE:						Any)							->			List[Any]:

				"""simple docstring"""

				return self.tokenizer.decode(*_SCREAMING_SNAKE_CASE			,     **_SCREAMING_SNAKE_CASE)







	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						Tuple			,     _SCREAMING_SNAKE_CASE:						Optional = None)							->			List[np.ndarray]:

				"""simple docstring"""

				__lowerCAmelCase :    Tuple				=			to_numpy(_SCREAMING_SNAKE_CASE)
				__lowerCAmelCase		,      __lowerCAmelCase		,      __lowerCAmelCase :    Optional[Any]				=			audio_values.shape

				if padding_mask is None:
							return list(_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    List[Any]				=			to_numpy(_SCREAMING_SNAKE_CASE)

				# 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)
				__lowerCAmelCase :    Union[str, Any]				=			seq_len - padding_mask.shape[-1]
				__lowerCAmelCase :    str				=			1 - self.feature_extractor.padding_value
				__lowerCAmelCase :    Optional[Any]				=			np.pad(_SCREAMING_SNAKE_CASE			,     ((0, 0), (0, difference))			,     "constant"			,     constant_values=_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase :    str				=			audio_values.tolist()
				for i in range(_SCREAMING_SNAKE_CASE):
							__lowerCAmelCase :    Optional[Any]				=			np.asarray(audio_values[i])[
							    padding_mask[i][None, :] != self.feature_extractor.padding_value
							]
							__lowerCAmelCase :    int				=			sliced_audio.reshape(_SCREAMING_SNAKE_CASE			,     -1)

				return audio_values




"""simple docstring"""






from ..utils import DummyObject, requires_backends



class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Union[str, Any]			,     *_SCREAMING_SNAKE_CASE:						Any			,     **_SCREAMING_SNAKE_CASE:						int)							->			List[Any]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Union[str, Any]			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						Union[str, Any])							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						int			,     *_SCREAMING_SNAKE_CASE:						Any			,     **_SCREAMING_SNAKE_CASE:						str)							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Tuple			,     *_SCREAMING_SNAKE_CASE:						Optional[Any]			,     **_SCREAMING_SNAKE_CASE:						List[str])							->			Optional[int]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Dict			,     *_SCREAMING_SNAKE_CASE:						Optional[Any]			,     **_SCREAMING_SNAKE_CASE:						int)							->			List[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Optional[Any]			,     *_SCREAMING_SNAKE_CASE:						Dict			,     **_SCREAMING_SNAKE_CASE:						Optional[Any])							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						int			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						int)							->			List[str]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Dict			,     *_SCREAMING_SNAKE_CASE:						Any			,     **_SCREAMING_SNAKE_CASE:						Any)							->			str:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						List[Any]			,     *_SCREAMING_SNAKE_CASE:						List[str]			,     **_SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Tuple			,     *_SCREAMING_SNAKE_CASE:						List[str]			,     **_SCREAMING_SNAKE_CASE:						List[str])							->			Optional[Any]:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						List[str]			,     *_SCREAMING_SNAKE_CASE:						Tuple			,     **_SCREAMING_SNAKE_CASE:						int)							->			int:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Optional[int]			,     *_SCREAMING_SNAKE_CASE:						str			,     **_SCREAMING_SNAKE_CASE:						Any)							->			int:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						Optional[Any]			,     *_SCREAMING_SNAKE_CASE:						Union[str, Any]			,     **_SCREAMING_SNAKE_CASE:						Optional[int])							->			str:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Optional[int]			,     *_SCREAMING_SNAKE_CASE:						List[Any]			,     **_SCREAMING_SNAKE_CASE:						Tuple)							->			Union[str, Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						int			,     *_SCREAMING_SNAKE_CASE:						str			,     **_SCREAMING_SNAKE_CASE:						Any)							->			Optional[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])






class      A__  (    metaclass=__SCREAMING_SNAKE_CASE				):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE        =      ['torch', 'transformers', 'onnx']

	def __init__(	self:						List[Any]			,     *_SCREAMING_SNAKE_CASE:						List[str]			,     **_SCREAMING_SNAKE_CASE:						List[str])							->			int:

				"""simple docstring"""

				requires_backends(self			,     ["torch", "transformers", "onnx"])

	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						Union[str, Any]			,     *_SCREAMING_SNAKE_CASE:						Optional[int]			,     **_SCREAMING_SNAKE_CASE:						Optional[Any])							->			List[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])







	@classmethod
	def 				_SCREAMING_SNAKE_CASE  (	cls:						str			,     *_SCREAMING_SNAKE_CASE:						Optional[int]			,     **_SCREAMING_SNAKE_CASE:						Dict)							->			Optional[Any]:

				"""simple docstring"""

				requires_backends(cls			,     ["torch", "transformers", "onnx"])