
class 		UpperCamelCase__  :
   def __init__(self			: Optional[int] ,    snake_case_			: int       ):
    __a			:  List[Any]		    =  n
    __a			:  Tuple		    =  [None] * self.n
    __a			:  List[Any]		    =  0  # index of the first element
    __a			:  List[str]		    =  0
    __a			:  Tuple		    =  0
   def __len__(self			: List[Any]       ):
    return self.size
   def 				lowerCAmelCase      (self			: Tuple       ):
    return self.size == 0
   def 				lowerCAmelCase      (self			: Dict       ):
    return False if self.is_empty() else self.array[self.front]
   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: int       ):
    if self.size >= self.n:
     raise Exception('''QUEUE IS FULL'''       )

    __a			:  Tuple		    =  data
    __a			:  str		    =  (self.rear + 1) % self.n
    self.size += 1
    return self







   def 				lowerCAmelCase      (self			: Optional[int]       ):
    if self.size == 0:
     raise Exception('''UNDERFLOW'''       )

    __a			:  str		    =  self.array[self.front]
    __a			:  Union[str, Any]		    =  None
    __a			:  Tuple		    =  (self.front + 1) % self.n
    self.size -= 1
    return temp


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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


lowercase__          =logging.get_logger(__name__)


lowercase__          ={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all LED models at https://huggingface.co/models?filter=LED
lowercase__          ={
    'vocab_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json',
    },
    'merges_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json',
    },
}

lowercase__          ={
    'allenai/led-base-16384': 16384,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def        __UpperCamelCase					(    ):
 __a			:  Tuple		    =  (
     list(range(ord('''!'''  )  ,       ord('''~'''  ) + 1  )  ) + list(range(ord('''¡'''  )  ,       ord('''¬'''  ) + 1  )  ) + list(range(ord('''®'''  )  ,       ord('''ÿ'''  ) + 1  )  )
 )
 __a			:  List[str]		    =  bs[:]
 __a			:  Tuple		    =  0
 for b in range(2**8  ):
  if b not in bs:
   bs.append(lowerCAmelCase__  )
   cs.append(2**8 + n  )
   n += 1
 __a			:  Union[str, Any]		    =  [chr(lowerCAmelCase__  ) for n in cs]
 return dict(zip(lowerCAmelCase__  ,       lowerCAmelCase__  )  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[Any]  ):
 __a			:  Any		    =  set()
 __a			:  List[str]		    =  word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)  )
  __a			:  Tuple		    =  char
 return pairs



class 		UpperCamelCase__  (	__lowercase   ):
   _SCREAMING_SNAKE_CASE				:							List[str]     	=				VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE				:							Optional[Any]     	=				PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE				:							Tuple     	=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _SCREAMING_SNAKE_CASE				:							Union[str, Any]     	=				["input_ids", "attention_mask"]
   def __init__(self			: Any ,    snake_case_			: int ,    snake_case_			: Dict ,    snake_case_			: Union[str, Any]="replace" ,    snake_case_			: Any="<s>" ,    snake_case_			: Any="</s>" ,    snake_case_			: Tuple="</s>" ,    snake_case_			: Dict="<s>" ,    snake_case_			: Any="<unk>" ,    snake_case_			: List[Any]="<pad>" ,    snake_case_			: Dict="<mask>" ,    snake_case_			: Dict=False ,    **snake_case_			: Tuple ,    ):
    __a			:  List[str]		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else bos_token
    __a			:  Tuple		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else eos_token
    __a			:  Union[str, Any]		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else sep_token
    __a			:  Dict		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else cls_token
    __a			:  List[str]		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else unk_token
    __a			:  str		    =  AddedToken(snake_case_ ,    lstrip=snake_case_ ,    rstrip=snake_case_       ) if isinstance(snake_case_ ,    snake_case_       ) else pad_token

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

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

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

    # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
    __a			:  str		    =  re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''       )
   @property
   # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
   def 				lowerCAmelCase      (self			: int       ):
    return len(self.encoder       )
   def 				lowerCAmelCase      (self			: str       ):
    return dict(self.encoder ,    **self.added_tokens_encoder       )
   def 				lowerCAmelCase      (self			: Dict ,    snake_case_			: Optional[Any]       ):
    if token in self.cache:
     return self.cache[token]
    __a			:  str		    =  tuple(snake_case_       )
    __a			:  Optional[Any]		    =  get_pairs(snake_case_       )

    if not pairs:
     return token

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

      if word[i] == first and i < len(snake_case_       ) - 1 and word[i + 1] == second:
       new_word.append(first + second       )
       i += 2
      else:
       new_word.append(word[i]       )
       i += 1
     __a			:  Tuple		    =  tuple(snake_case_       )
     __a			:  List[Any]		    =  new_word
     if len(snake_case_       ) == 1:
      break
     else:
      __a			:  Tuple		    =  get_pairs(snake_case_       )
    __a			:  Optional[int]		    =  ''' '''.join(snake_case_       )
    __a			:  Union[str, Any]		    =  word
    return word
   def 				lowerCAmelCase      (self			: Dict ,    snake_case_			: str       ):
    __a			:  Optional[Any]		    =  []
    for token in re.findall(self.pat ,    snake_case_       ):
     __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(snake_case_       ).split(''' '''       )       )
    return bpe_tokens
   def 				lowerCAmelCase      (self			: Optional[Any] ,    snake_case_			: int       ):
    return self.encoder.get(snake_case_ ,    self.encoder.get(self.unk_token       )       )
   def 				lowerCAmelCase      (self			: Union[str, Any] ,    snake_case_			: List[str]       ):
    return self.decoder.get(snake_case_       )
   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: str       ):
    __a			:  Any		    =  ''''''.join(snake_case_       )
    __a			:  Union[str, Any]		    =  bytearray([self.byte_decoder[c] for c in text]       ).decode('''utf-8''' ,    errors=self.errors       )
    return text
   def 				lowerCAmelCase      (self			: List[Any] ,    snake_case_			: str ,    snake_case_			: Optional[str] = None       ):
    if not os.path.isdir(snake_case_       ):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
     return
    __a			:  Any		    =  os.path.join(
        snake_case_ ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )
    __a			:  str		    =  os.path.join(
        snake_case_ ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']       )

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

    __a			:  Optional[int]		    =  0
    with open(snake_case_ ,    '''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 snake_case_       : 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			:  Union[str, Any]		    =  token_index
      writer.write(''' '''.join(snake_case_       ) + '''\n'''       )
      index += 1

    return vocab_file, merge_file
   def 				lowerCAmelCase      (self			: int ,    snake_case_			: List[int] ,    snake_case_			: Optional[List[int]] = None       ):
    if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
    __a			:  Union[str, Any]		    =  [self.cls_token_id]
    __a			:  Union[str, Any]		    =  [self.sep_token_id]
    return cls + token_ids_a + sep + sep + token_ids_a + sep
   def 				lowerCAmelCase      (self			: str ,    snake_case_			: List[int] ,    snake_case_			: Optional[List[int]] = None ,    snake_case_			: bool = False       ):
    if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=snake_case_ ,    token_ids_a=snake_case_ ,    already_has_special_tokens=snake_case_       )

    if token_ids_a is None:
     return [1] + ([0] * len(snake_case_       )) + [1]
    return [1] + ([0] * len(snake_case_       )) + [1, 1] + ([0] * len(snake_case_       )) + [1]
   def 				lowerCAmelCase      (self			: str ,    snake_case_			: List[int] ,    snake_case_			: Optional[List[int]] = None       ):
    __a			:  Union[str, Any]		    =  [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 				lowerCAmelCase      (self			: str ,    snake_case_			: int ,    snake_case_			: Union[str, Any]=False ,    **snake_case_			: str       ):
    __a			:  List[str]		    =  kwargs.pop('''add_prefix_space''' ,    self.add_prefix_space       )
    if (is_split_into_words or add_prefix_space) and (len(snake_case_       ) > 0 and not text[0].isspace()):
     __a			:  str		    =  ''' ''' + text
    return (text, kwargs)







   def 				lowerCAmelCase      (self			: Optional[int] ,    snake_case_			: Union[Dict[str, EncodedInput], BatchEncoding] ,    snake_case_			: Optional[int] = None ,    snake_case_			: PaddingStrategy = PaddingStrategy.DO_NOT_PAD ,    snake_case_			: Optional[int] = None ,    snake_case_			: Optional[bool] = None ,    ):
    __a			:  int		    =  super()._pad(
        encoded_inputs=snake_case_ ,    max_length=snake_case_ ,    padding_strategy=snake_case_ ,    pad_to_multiple_of=snake_case_ ,    return_attention_mask=snake_case_ ,    )

    # Load from model defaults
    if return_attention_mask is None:
     __a			:  Optional[Any]		    =  '''attention_mask''' in self.model_input_names

    if return_attention_mask and "global_attention_mask" in encoded_inputs:
     __a			:  List[Any]		    =  encoded_inputs[self.model_input_names[0]]
     # `global_attention_mask` need to have the same length as other (sequential) inputs.
     __a			:  List[Any]		    =  len(encoded_inputs['''global_attention_mask''']       ) != len(snake_case_       )

     if needs_to_be_padded:
      __a			:  int		    =  len(snake_case_       ) - len(encoded_inputs['''global_attention_mask''']       )

      if self.padding_side == "right":
       # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
       __a			:  List[str]		    =  (
           encoded_inputs['''global_attention_mask'''] + [-1] * difference
       )
      elif self.padding_side == "left":
       __a			:  List[str]		    =  [-1] * difference + encoded_inputs[
           '''global_attention_mask'''
       ]
      else:
       raise ValueError('''Invalid padding strategy:''' + str(self.padding_side       )       )

    return encoded_inputs
