


"""simple docstring"""


from typing import List, Optional

import numpy as np

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

class 				_SCREAMING_SNAKE_CASE				(							__UpperCAmelCase  ):
   """simple docstring"""



   _a   :       Dict									=    '''EncodecFeatureExtractor'''
   _a   :       Dict									=    ('''T5Tokenizer''', '''T5TokenizerFast''')


   def __init__(						self ,     lowerCamelCase__ ,     lowerCamelCase__						)      ->							Tuple:
    super().__init__(lowerCamelCase__ ,     lowerCamelCase__						)
    lowercase__       :       Optional[Any]				=						self.feature_extractor
    lowercase__       :       Optional[int]				=						False


   def 					UpperCAmelCase__(						self ,     lowerCamelCase__=None ,     lowerCamelCase__=None ,     lowerCamelCase__=True						)      ->							Any:
    return self.tokenizer.get_decoder_prompt_ids(task=lowerCamelCase__ ,     language=lowerCamelCase__ ,     no_timestamps=lowerCamelCase__						)


   def __call__(						self ,     *lowerCamelCase__ ,     **lowerCamelCase__						)      ->							Tuple:
    # For backward compatibility
    if self._in_target_context_manager:
     return self.current_processor(*lowerCamelCase__ ,     **lowerCamelCase__						)

    lowercase__       :       Tuple				=						kwargs.pop("""audio""" ,     lowerCamelCase__						)
    lowercase__       :       Tuple				=						kwargs.pop("""sampling_rate""" ,     lowerCamelCase__						)
    lowercase__       :       Tuple				=						kwargs.pop("""text""" ,     lowerCamelCase__						)
    if len(lowerCamelCase__						) > 0:
     lowercase__       :       Any				=						args[0]
     lowercase__       :       List[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:
     lowercase__       :       List[str]				=						self.tokenizer(lowerCamelCase__ ,     **lowerCamelCase__						)

    if audio is not None:
     lowercase__       :       Any				=						self.feature_extractor(lowerCamelCase__ ,     *lowerCamelCase__ ,     sampling_rate=lowerCamelCase__ ,     **lowerCamelCase__						)

    if audio is None:
     return inputs

    elif text is None:
     return audio_inputs

    else:
     lowercase__       :       Any				=						audio_inputs["""input_values"""]
     if "padding_mask" in audio_inputs:
      lowercase__       :       Optional[int]				=						audio_inputs["""padding_mask"""]
     return inputs


   def 					UpperCAmelCase__(						self ,     *lowerCamelCase__ ,     **lowerCamelCase__						)      ->							Dict:
    lowercase__       :       str				=						kwargs.pop("""audio""" ,     lowerCamelCase__						)
    lowercase__       :       Any				=						kwargs.pop("""padding_mask""" ,     lowerCamelCase__						)

    if len(lowerCamelCase__						) > 0:
     lowercase__       :       Any				=						args[0]
     lowercase__       :       Any				=						args[1:]

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


   def 					UpperCAmelCase__(						self ,     *lowerCamelCase__ ,     **lowerCamelCase__						)      ->							Union[str, Any]:
    return self.tokenizer.decode(*lowerCamelCase__ ,     **lowerCamelCase__						)







   def 					UpperCAmelCase__(						self ,     lowerCamelCase__ ,     lowerCamelCase__ = None						)      ->							List[np.ndarray]:
    lowercase__       :       Any				=						to_numpy(lowerCamelCase__						)
    lowercase__	,       lowercase__	,       lowercase__       :       List[str]				=						audio_values.shape

    if padding_mask is None:
     return list(lowerCamelCase__						)

    lowercase__       :       Any				=						to_numpy(lowerCamelCase__						)

    # 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)
    lowercase__       :       int				=						seq_len - padding_mask.shape[-1]
    lowercase__       :       int				=						1 - self.feature_extractor.padding_value
    lowercase__       :       Tuple				=						np.pad(lowerCamelCase__ ,     ((0, 0), (0, difference)) ,     """constant""" ,     constant_values=lowerCamelCase__						)

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

    return audio_values



"""simple docstring"""


from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							int       ,		lowerCamelCase__	:							float = 1 / sqrt(2  )  ):
 lowercase__       :       str				=						tau * frequency / samplerate
 lowercase__       :       Union[str, Any]				=						sin(lowerCamelCase__  )
 lowercase__       :       int				=						cos(lowerCamelCase__  )
 lowercase__       :       Union[str, Any]				=						_sin / (2 * q_factor)

 lowercase__       :       str				=						(1 - _cos) / 2
 lowercase__       :       Optional[Any]				=						1 - _cos

 lowercase__       :       List[Any]				=						1 + alpha
 lowercase__       :       Dict				=						-2 * _cos
 lowercase__       :       List[str]				=						1 - alpha

 lowercase__       :       int				=						IIRFilter(2  )
 filt.set_coefficients([aa, aa, aa]       ,		[ba, ba, ba]  )
 return filt


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							int       ,		lowerCamelCase__	:							float = 1 / sqrt(2  )  ):
 lowercase__       :       Optional[int]				=						tau * frequency / samplerate
 lowercase__       :       Any				=						sin(lowerCamelCase__  )
 lowercase__       :       Any				=						cos(lowerCamelCase__  )
 lowercase__       :       Tuple				=						_sin / (2 * q_factor)

 lowercase__       :       Tuple				=						(1 + _cos) / 2
 lowercase__       :       str				=						-1 - _cos

 lowercase__       :       Dict				=						1 + alpha
 lowercase__       :       Dict				=						-2 * _cos
 lowercase__       :       int				=						1 - alpha

 lowercase__       :       str				=						IIRFilter(2  )
 filt.set_coefficients([aa, aa, aa]       ,		[ba, ba, ba]  )
 return filt


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							int       ,		lowerCamelCase__	:							float = 1 / sqrt(2  )  ):
 lowercase__       :       Optional[int]				=						tau * frequency / samplerate
 lowercase__       :       str				=						sin(lowerCamelCase__  )
 lowercase__       :       int				=						cos(lowerCamelCase__  )
 lowercase__       :       Dict				=						_sin / (2 * q_factor)

 lowercase__       :       Dict				=						_sin / 2
 lowercase__       :       Union[str, Any]				=						0
 lowercase__       :       int				=						-ba

 lowercase__       :       List[Any]				=						1 + alpha
 lowercase__       :       Tuple				=						-2 * _cos
 lowercase__       :       List[str]				=						1 - alpha

 lowercase__       :       Dict				=						IIRFilter(2  )
 filt.set_coefficients([aa, aa, aa]       ,		[ba, ba, ba]  )
 return filt


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							int       ,		lowerCamelCase__	:							float = 1 / sqrt(2  )  ):
 lowercase__       :       str				=						tau * frequency / samplerate
 lowercase__       :       Dict				=						sin(lowerCamelCase__  )
 lowercase__       :       Union[str, Any]				=						cos(lowerCamelCase__  )
 lowercase__       :       Tuple				=						_sin / (2 * q_factor)

 lowercase__       :       List[Any]				=						1 - alpha
 lowercase__       :       Any				=						-2 * _cos
 lowercase__       :       Optional[Any]				=						1 + alpha

 lowercase__       :       List[Any]				=						IIRFilter(2  )
 filt.set_coefficients([ba, ba, ba]       ,		[ba, ba, ba]  )
 return filt


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							int       ,		lowerCamelCase__	:							float       ,		lowerCamelCase__	:							float = 1 / sqrt(2  )       ,		):
 lowercase__       :       Tuple				=						tau * frequency / samplerate
 lowercase__       :       str				=						sin(lowerCamelCase__  )
 lowercase__       :       List[str]				=						cos(lowerCamelCase__  )
 lowercase__       :       Optional[int]				=						_sin / (2 * q_factor)
 lowercase__       :       Optional[Any]				=						10 ** (gain_db / 40)

 lowercase__       :       Optional[Any]				=						1 + alpha * big_a
 lowercase__       :       Dict				=						-2 * _cos
 lowercase__       :       Tuple				=						1 - alpha * big_a
 lowercase__       :       List[str]				=						1 + alpha / big_a
 lowercase__       :       List[Any]				=						-2 * _cos
 lowercase__       :       Optional[int]				=						1 - alpha / big_a

 lowercase__       :       Union[str, Any]				=						IIRFilter(2  )
 filt.set_coefficients([aa, aa, aa]       ,		[ba, ba, ba]  )
 return filt


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							int       ,		lowerCamelCase__	:							float       ,		lowerCamelCase__	:							float = 1 / sqrt(2  )       ,		):
 lowercase__       :       Optional[int]				=						tau * frequency / samplerate
 lowercase__       :       Dict				=						sin(lowerCamelCase__  )
 lowercase__       :       Union[str, Any]				=						cos(lowerCamelCase__  )
 lowercase__       :       int				=						_sin / (2 * q_factor)
 lowercase__       :       Union[str, Any]				=						10 ** (gain_db / 40)
 lowercase__       :       Dict				=						(big_a + 1) - (big_a - 1) * _cos
 lowercase__       :       Union[str, Any]				=						(big_a + 1) + (big_a - 1) * _cos
 lowercase__       :       List[Any]				=						(big_a - 1) - (big_a + 1) * _cos
 lowercase__       :       Dict				=						(big_a - 1) + (big_a + 1) * _cos
 lowercase__       :       Optional[int]				=						2 * sqrt(lowerCamelCase__  ) * alpha

 lowercase__       :       str				=						big_a * (pmc + aaa)
 lowercase__       :       Optional[Any]				=						2 * big_a * mpc
 lowercase__       :       str				=						big_a * (pmc - aaa)
 lowercase__       :       Dict				=						ppmc + aaa
 lowercase__       :       List[Any]				=						-2 * pmpc
 lowercase__       :       List[Any]				=						ppmc - aaa

 lowercase__       :       Optional[int]				=						IIRFilter(2  )
 filt.set_coefficients([aa, aa, aa]       ,		[ba, ba, ba]  )
 return filt






def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							int       ,		lowerCamelCase__	:							float       ,		lowerCamelCase__	:							float = 1 / sqrt(2  )       ,		):
 lowercase__       :       int				=						tau * frequency / samplerate
 lowercase__       :       List[Any]				=						sin(lowerCamelCase__  )
 lowercase__       :       List[Any]				=						cos(lowerCamelCase__  )
 lowercase__       :       List[str]				=						_sin / (2 * q_factor)
 lowercase__       :       int				=						10 ** (gain_db / 40)
 lowercase__       :       str				=						(big_a + 1) - (big_a - 1) * _cos
 lowercase__       :       Optional[Any]				=						(big_a + 1) + (big_a - 1) * _cos
 lowercase__       :       Optional[int]				=						(big_a - 1) - (big_a + 1) * _cos
 lowercase__       :       int				=						(big_a - 1) + (big_a + 1) * _cos
 lowercase__       :       Optional[Any]				=						2 * sqrt(lowerCamelCase__  ) * alpha

 lowercase__       :       str				=						big_a * (ppmc + aaa)
 lowercase__       :       Union[str, Any]				=						-2 * big_a * pmpc
 lowercase__       :       List[Any]				=						big_a * (ppmc - aaa)
 lowercase__       :       str				=						pmc + aaa
 lowercase__       :       int				=						2 * mpc
 lowercase__       :       Any				=						pmc - aaa

 lowercase__       :       int				=						IIRFilter(2  )
 filt.set_coefficients([aa, aa, aa]       ,		[ba, ba, ba]  )
 return filt