


'''simple docstring'''




import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase_      :		Union[str, Any]          =		logging.get_logger(__name__)


UpperCAmelCase_      :		List[Any]          =		{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

UpperCAmelCase_      :		List[str]          =		{
    "vocab_file": {
        "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json",
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "allenai/longformer-base-4096": "https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt",
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"
        ),
    },
}

UpperCAmelCase_      :		int          =		{
    "allenai/longformer-base-4096": 4096,
    "allenai/longformer-large-4096": 4096,
    "allenai/longformer-large-4096-finetuned-triviaqa": 4096,
    "allenai/longformer-base-4096-extra.pos.embd.only": 4096,
    "allenai/longformer-large-4096-extra.pos.embd.only": 4096,
}


@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def    UpperCAmelCase_  (       ):
   '''simple docstring'''





   _a					:  Any						=  (
       list(range(ord('!'      )		,	ord('~'      ) + 1      )      ) + list(range(ord('¡'      )		,	ord('¬'      ) + 1      )      ) + list(range(ord('®'      )		,	ord('ÿ'      ) + 1      )      )
   )
   _a					:  Dict						=  bs[:]
   _a					:  Union[str, Any]						=  0
   for b in range(2**8      ):
      if b not in bs:
         bs.append(A      )
         cs.append(2**8 + n      )
         n += 1
   _a					:  Tuple						=  [chr(A      ) for n in cs]
   return dict(zip(A		,	A      )      )


def    UpperCAmelCase_  (       A      ):
   '''simple docstring'''





   _a					:  int						=  set()
   _a					:  List[str]						=  word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)      )
      _a					:  Tuple						=  char
   return pairs







class 					a			(				snake_case__  ):
 '''simple docstring'''




 __lowerCAmelCase						: Optional[int]							  =		VOCAB_FILES_NAMES
 __lowerCAmelCase						: Optional[Any]							  =		PRETRAINED_VOCAB_FILES_MAP
 __lowerCAmelCase						: Optional[int]							  =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCAmelCase						: Union[str, Any]							  =		["""input_ids""", """attention_mask"""]




 def __init__(    self		,      lowerCamelCase_		,      lowerCamelCase_		,      lowerCamelCase_="replace"		,      lowerCamelCase_="<s>"		,      lowerCamelCase_="</s>"		,      lowerCamelCase_="</s>"		,      lowerCamelCase_="<s>"		,      lowerCamelCase_="<unk>"		,      lowerCamelCase_="<pad>"		,      lowerCamelCase_="<mask>"		,      lowerCamelCase_=False		,      **lowerCamelCase_		,      )      ->    Union[str, Any]:
    _a					:  Dict						=  AddedToken(lowerCamelCase_		,      lstrip=lowerCamelCase_		,      rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_		,      lowerCamelCase_      ) else bos_token
    _a					:  List[str]						=  AddedToken(lowerCamelCase_		,      lstrip=lowerCamelCase_		,      rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_		,      lowerCamelCase_      ) else eos_token
    _a					:  str						=  AddedToken(lowerCamelCase_		,      lstrip=lowerCamelCase_		,      rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_		,      lowerCamelCase_      ) else sep_token
    _a					:  Tuple						=  AddedToken(lowerCamelCase_		,      lstrip=lowerCamelCase_		,      rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_		,      lowerCamelCase_      ) else cls_token
    _a					:  List[str]						=  AddedToken(lowerCamelCase_		,      lstrip=lowerCamelCase_		,      rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_		,      lowerCamelCase_      ) else unk_token
    _a					:  List[Any]						=  AddedToken(lowerCamelCase_		,      lstrip=lowerCamelCase_		,      rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_		,      lowerCamelCase_      ) else pad_token

    # Mask token behave like a normal word, i.e. include the space before it
    _a					:  str						=  AddedToken(lowerCamelCase_		,      lstrip=lowerCamelCase_		,      rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_		,      lowerCamelCase_      ) else mask_token

    super().__init__(
        errors=lowerCamelCase_		,      bos_token=lowerCamelCase_		,      eos_token=lowerCamelCase_		,      unk_token=lowerCamelCase_		,      sep_token=lowerCamelCase_		,      cls_token=lowerCamelCase_		,      pad_token=lowerCamelCase_		,      mask_token=lowerCamelCase_		,      add_prefix_space=lowerCamelCase_		,      **lowerCamelCase_		,      )

    with open(lowerCamelCase_		,      encoding='utf-8'      ) as vocab_handle:
       _a					:  Optional[Any]						=  json.load(lowerCamelCase_      )
    _a					:  str						=  {v: k for k, v in self.encoder.items()}
    _a					:  str						=  errors  # how to handle errors in decoding
    _a					:  str						=  bytes_to_unicode()
    _a					:  List[Any]						=  {v: k for k, v in self.byte_encoder.items()}
    with open(lowerCamelCase_		,      encoding='utf-8'      ) as merges_handle:
       _a					:  Optional[Any]						=  merges_handle.read().split('\n'      )[1:-1]
    _a					:  Optional[int]						=  [tuple(merge.split()      ) for merge in bpe_merges]
    _a					:  List[Any]						=  dict(zip(lowerCamelCase_		,      range(len(lowerCamelCase_      )      )      )      )
    _a					:  Tuple						=  {}
    _a					:  Union[str, Any]						=  add_prefix_space

    # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
    _a					:  Dict						=  re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'      )




 @property
 def   __UpperCamelCase   (    self      )      ->    List[str]:
    return len(self.encoder      )




 def   __UpperCamelCase   (    self      )      ->    int:
    return dict(self.encoder		,      **self.added_tokens_encoder      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    str:
    if token in self.cache:
       return self.cache[token]
    _a					:  Tuple						=  tuple(lowerCamelCase_      )
    _a					:  Optional[int]						=  get_pairs(lowerCamelCase_      )

    if not pairs:
       return token

    while True:
       _a					:  Union[str, Any]						=  min(lowerCamelCase_		,      key=lambda lowerCamelCase_      : self.bpe_ranks.get(lowerCamelCase_		,      float('inf'      )      )      )
       if bigram not in self.bpe_ranks:
          break
       _a		,						_a					:  Dict						=  bigram
       _a					:  Optional[Any]						=  []
       _a					:  Optional[int]						=  0
       while i < len(lowerCamelCase_      ):
          try:
             _a					:  Union[str, Any]						=  word.index(lowerCamelCase_		,      lowerCamelCase_      )
          except ValueError:
             new_word.extend(word[i:]      )
             break
          else:
             new_word.extend(word[i:j]      )
             _a					:  Union[str, Any]						=  j

          if word[i] == first and i < len(lowerCamelCase_      ) - 1 and word[i + 1] == second:
             new_word.append(first + second      )
             i += 2
          else:
             new_word.append(word[i]      )
             i += 1
       _a					:  int						=  tuple(lowerCamelCase_      )
       _a					:  int						=  new_word
       if len(lowerCamelCase_      ) == 1:
          break
       else:
          _a					:  int						=  get_pairs(lowerCamelCase_      )
    _a					:  str						=  ' '.join(lowerCamelCase_      )
    _a					:  Dict						=  word
    return word




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    Any:
    _a					:  str						=  []
    for token in re.findall(self.pat		,      lowerCamelCase_      ):
       _a					:  str						=  ''.join(
           self.byte_encoder[b] for b in token.encode('utf-8'      )      )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
       bpe_tokens.extend(bpe_token for bpe_token in self.bpe(lowerCamelCase_      ).split(' '      )      )
    return bpe_tokens




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    Any:
    return self.encoder.get(lowerCamelCase_		,      self.encoder.get(self.unk_token      )      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    Any:
    return self.decoder.get(lowerCamelCase_      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    List[str]:
    _a					:  Tuple						=  ''.join(lowerCamelCase_      )
    _a					:  Any						=  bytearray([self.byte_decoder[c] for c in text]      ).decode('utf-8'		,      errors=self.errors      )
    return text




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_ = None      )      ->    Tuple[str]:
    if not os.path.isdir(lowerCamelCase_      ):
       logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
       return
    _a					:  int						=  os.path.join(
        lowerCamelCase_		,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
    _a					:  Optional[int]						=  os.path.join(
        lowerCamelCase_		,      (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

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

    _a					:  Optional[Any]						=  0
    with open(lowerCamelCase_		,      'w'		,      encoding='utf-8'      ) as writer:
       writer.write('#version: 0.2\n'      )
       for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,      key=lambda lowerCamelCase_      : kv[1]      ):
          if index != token_index:
             logger.warning(
                 F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                 ' Please check that the tokenizer is not corrupted!'      )
             _a					:  Any						=  token_index
          writer.write(' '.join(lowerCamelCase_      ) + '\n'      )
          index += 1

    return vocab_file, merge_file




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_ = None      )      ->    List[int]:
    if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    _a					:  Dict						=  [self.cls_token_id]
    _a					:  Dict						=  [self.sep_token_id]
    return cls + token_ids_a + sep + sep + token_ids_a + sep




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_ = None		,      lowerCamelCase_ = False      )      ->    List[int]:
    if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=lowerCamelCase_		,      token_ids_a=lowerCamelCase_		,      already_has_special_tokens=lowerCamelCase_      )

    if token_ids_a is None:
       return [1] + ([0] * len(lowerCamelCase_      )) + [1]
    return [1] + ([0] * len(lowerCamelCase_      )) + [1, 1] + ([0] * len(lowerCamelCase_      )) + [1]




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_ = None      )      ->    List[int]:
    _a					:  int						=  [self.sep_token_id]
    _a					:  Optional[int]						=  [self.cls_token_id]

    if token_ids_a is None:
       return len(cls + token_ids_a + sep      ) * [0]
    return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_=False		,      **lowerCamelCase_      )      ->    List[str]:
    _a					:  Any						=  kwargs.pop('add_prefix_space'		,      self.add_prefix_space      )
    if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase_      ) > 0 and not text[0].isspace()):
       _a					:  List[str]						=  ' ' + text
    return (text, kwargs)






'''simple docstring'''




from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter


def    UpperCAmelCase_  (       A		,	A		,	A = 1 / sqrt(2      )      ):
   '''simple docstring'''





   _a					:  List[Any]						=  tau * frequency / samplerate
   _a					:  Tuple						=  sin(A      )
   _a					:  List[Any]						=  cos(A      )
   _a					:  Union[str, Any]						=  _sin / (2 * q_factor)

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

   _a					:  Any						=  1 + alpha
   _a					:  int						=  -2 * _cos
   _a					:  str						=  1 - alpha

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


def    UpperCAmelCase_  (       A		,	A		,	A = 1 / sqrt(2      )      ):
   '''simple docstring'''





   _a					:  int						=  tau * frequency / samplerate
   _a					:  int						=  sin(A      )
   _a					:  Union[str, Any]						=  cos(A      )
   _a					:  int						=  _sin / (2 * q_factor)

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

   _a					:  Optional[int]						=  1 + alpha
   _a					:  str						=  -2 * _cos
   _a					:  Dict						=  1 - alpha

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


def    UpperCAmelCase_  (       A		,	A		,	A = 1 / sqrt(2      )      ):
   '''simple docstring'''





   _a					:  str						=  tau * frequency / samplerate
   _a					:  Dict						=  sin(A      )
   _a					:  int						=  cos(A      )
   _a					:  Dict						=  _sin / (2 * q_factor)

   _a					:  List[Any]						=  _sin / 2
   _a					:  List[str]						=  0
   _a					:  Dict						=  -ba

   _a					:  List[Any]						=  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    UpperCAmelCase_  (       A		,	A		,	A = 1 / sqrt(2      )      ):
   '''simple docstring'''





   _a					:  Optional[Any]						=  tau * frequency / samplerate
   _a					:  Tuple						=  sin(A      )
   _a					:  Tuple						=  cos(A      )
   _a					:  Dict						=  _sin / (2 * q_factor)

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

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


def    UpperCAmelCase_  (       A		,	A		,	A		,	A = 1 / sqrt(2      )		,	):
   '''simple docstring'''





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

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

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


def    UpperCAmelCase_  (       A		,	A		,	A		,	A = 1 / sqrt(2      )		,	):
   '''simple docstring'''





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

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

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







def    UpperCAmelCase_  (       A		,	A		,	A		,	A = 1 / sqrt(2      )		,	):
   '''simple docstring'''





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

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

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


