






"""simple docstring"""




from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = 1 / sqrt(2				)				):



  '''simple docstring'''
  _a  :       int             =	tau * frequency / samplerate
  _a  :       Optional[int]             =	sin(UpperCamelCase__				)
  _a  :       Any             =	cos(UpperCamelCase__				)
  _a  :       Any             =	_sin / (2 * q_factor)

  _a  :       Dict             =	(1 - _cos) / 2
  _a  :       int             =	1 - _cos

  _a  :       int             =	1 + alpha
  _a  :       List[Any]             =	-2 * _cos
  _a  :       Any             =	1 - alpha

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

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = 1 / sqrt(2				)				):



  '''simple docstring'''
  _a  :       str             =	tau * frequency / samplerate
  _a  :       Tuple             =	sin(UpperCamelCase__				)
  _a  :       Tuple             =	cos(UpperCamelCase__				)
  _a  :       Dict             =	_sin / (2 * q_factor)

  _a  :       Tuple             =	(1 + _cos) / 2
  _a  :       List[str]             =	-1 - _cos

  _a  :       Optional[int]             =	1 + alpha
  _a  :       Union[str, Any]             =	-2 * _cos
  _a  :       List[Any]             =	1 - alpha

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

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = 1 / sqrt(2				)				):



  '''simple docstring'''
  _a  :       List[str]             =	tau * frequency / samplerate
  _a  :       str             =	sin(UpperCamelCase__				)
  _a  :       Optional[int]             =	cos(UpperCamelCase__				)
  _a  :       Optional[Any]             =	_sin / (2 * q_factor)

  _a  :       str             =	_sin / 2
  _a  :       Any             =	0
  _a  :       int             =	-ba

  _a  :       Tuple             =	1 + alpha
  _a  :       Dict             =	-2 * _cos
  _a  :       str             =	1 - alpha

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

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = 1 / sqrt(2				)				):



  '''simple docstring'''
  _a  :       Union[str, Any]             =	tau * frequency / samplerate
  _a  :       Optional[int]             =	sin(UpperCamelCase__				)
  _a  :       str             =	cos(UpperCamelCase__				)
  _a  :       Optional[int]             =	_sin / (2 * q_factor)

  _a  :       Dict             =	1 - alpha
  _a  :       int             =	-2 * _cos
  _a  :       List[Any]             =	1 + alpha

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

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = 1 / sqrt(2				)     ,   ):



  '''simple docstring'''
  _a  :       Optional[int]             =	tau * frequency / samplerate
  _a  :       str             =	sin(UpperCamelCase__				)
  _a  :       Any             =	cos(UpperCamelCase__				)
  _a  :       Union[str, Any]             =	_sin / (2 * q_factor)
  _a  :       List[str]             =	1_0 ** (gain_db / 4_0)

  _a  :       Tuple             =	1 + alpha * big_a
  _a  :       Tuple             =	-2 * _cos
  _a  :       Union[str, Any]             =	1 - alpha * big_a
  _a  :       Optional[int]             =	1 + alpha / big_a
  _a  :       int             =	-2 * _cos
  _a  :       Any             =	1 - alpha / big_a

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

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = 1 / sqrt(2				)     ,   ):



  '''simple docstring'''
  _a  :       Union[str, Any]             =	tau * frequency / samplerate
  _a  :       List[str]             =	sin(UpperCamelCase__				)
  _a  :       List[Any]             =	cos(UpperCamelCase__				)
  _a  :       str             =	_sin / (2 * q_factor)
  _a  :       Optional[Any]             =	1_0 ** (gain_db / 4_0)
  _a  :       Tuple             =	(big_a + 1) - (big_a - 1) * _cos
  _a  :       str             =	(big_a + 1) + (big_a - 1) * _cos
  _a  :       str             =	(big_a - 1) - (big_a + 1) * _cos
  _a  :       Dict             =	(big_a - 1) + (big_a + 1) * _cos
  _a  :       Optional[int]             =	2 * sqrt(UpperCamelCase__				) * alpha

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

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



def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = 1 / sqrt(2				)     ,   ):



  '''simple docstring'''
  _a  :       str             =	tau * frequency / samplerate
  _a  :       List[Any]             =	sin(UpperCamelCase__				)
  _a  :       List[Any]             =	cos(UpperCamelCase__				)
  _a  :       int             =	_sin / (2 * q_factor)
  _a  :       int             =	1_0 ** (gain_db / 4_0)
  _a  :       Tuple             =	(big_a + 1) - (big_a - 1) * _cos
  _a  :       str             =	(big_a + 1) + (big_a - 1) * _cos
  _a  :       int             =	(big_a - 1) - (big_a + 1) * _cos
  _a  :       Dict             =	(big_a - 1) + (big_a + 1) * _cos
  _a  :       Optional[int]             =	2 * sqrt(UpperCamelCase__				) * alpha

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

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









"""simple docstring"""




import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_snake_case          =   logging.get_logger(__name__)

_snake_case          =   {'vocab_file': 'vocab.json'}

_snake_case          =   {
    'vocab_file': {
        'mgp-str': 'https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json',
    }
}

_snake_case          =   {'mgp-str': 27}






class        UpperCamelCase			(	snake_case_      ):
 UpperCamelCase					:       List[str]			=					VOCAB_FILES_NAMES
 UpperCamelCase					:       Union[str, Any]			=					PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase					:       Optional[int]			=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


 def __init__(     self		:						Optional[int]							,						UpperCAmelCase__		:						List[str]							,						UpperCAmelCase__		:						List[Any]="[GO]"							,						UpperCAmelCase__		:						Tuple="[GO]"							,						UpperCAmelCase__		:						Optional[int]="[s]"							,						UpperCAmelCase__		:						int="[GO]"							,						**UpperCAmelCase__		:						Dict							)					->       int:
   super().__init__(
       unk_token=UpperCAmelCase__							,						bos_token=UpperCAmelCase__							,						eos_token=UpperCAmelCase__							,						pad_token=UpperCAmelCase__							,						**UpperCAmelCase__							,						)

   with open(UpperCAmelCase__							,						encoding="""utf-8"""							) as vocab_handle:
     _a  :       int             =	json.load(UpperCAmelCase__							)
   _a  :       Optional[int]             =	{v: k for k, v in self.vocab.items()}


 @property
 def _lowercase	(     self		:						Dict							)					->       Union[str, Any]:
   return len(self.vocab							)


 def _lowercase	(     self		:						Union[str, Any]							)					->       str:
   return dict(self.vocab							,						**self.added_tokens_encoder							)


 def _lowercase	(     self		:						Dict							,						UpperCAmelCase__		:						str							)					->       Union[str, Any]:
   _a  :       Tuple             =	[]
   for s in text:
     char_tokens.extend(UpperCAmelCase__							)
   return char_tokens


 def _lowercase	(     self		:						List[Any]							,						UpperCAmelCase__		:						str							)					->       Dict:
   return self.vocab.get(UpperCAmelCase__							,						self.vocab.get(self.unk_token							)							)


 def _lowercase	(     self		:						Optional[int]							,						UpperCAmelCase__		:						Tuple							)					->       List[Any]:
   return self.decoder.get(UpperCAmelCase__							)







 def _lowercase	(     self		:						Optional[int]							,						UpperCAmelCase__		:						str							,						UpperCAmelCase__		:						Optional[str] = None							)					->       Tuple[str]:
   if not os.path.isdir(UpperCAmelCase__							):
     logger.error("""Vocabulary path ({}) should be a directory""".format(UpperCAmelCase__							)							)
     return
   _a  :       Tuple             =	os.path.join(
       UpperCAmelCase__							,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)

   with open(UpperCAmelCase__							,						"""w"""							,						encoding="""utf-8"""							) as f:
     f.write(json.dumps(self.vocab							,						indent=2							,						sort_keys=UpperCAmelCase__							,						ensure_ascii=UpperCAmelCase__							) + """\n"""							)

   return (vocab_file,)

