




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


lowerCamelCase__					:  List[Any]      							=				logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
lowerCamelCase__					:  int      							=				{
    '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',
    },
}

lowerCamelCase__					:  List[Any]      							=				{
    'allenai/led-base-16384': 16_384,
}

@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def    UpperCAmelCase_				( )   ->					int:
      SCREAMING_SNAKE_CASE_      		=     (
          list(range(ord('!'				)     ,     ord('~'				) + 1				)				) + list(range(ord('¡'				)     ,     ord('¬'				) + 1				)				) + list(range(ord('®'				)     ,     ord('ÿ'				) + 1				)				)
      )
      SCREAMING_SNAKE_CASE_      		=     bs[:]
      SCREAMING_SNAKE_CASE_      		=     0
      for b in range(2**8				):
            if b not in bs:
                  bs.append(__UpperCAmelCase				)
                  cs.append(2**8 + n				)
                  n += 1
      SCREAMING_SNAKE_CASE_      		=     [chr(__UpperCAmelCase				) for n in cs]
      return dict(zip(__UpperCAmelCase     ,     __UpperCAmelCase				)				)

def    UpperCAmelCase_				( __UpperCAmelCase		:      Optional[Any]				)   ->					Optional[Any]:
      SCREAMING_SNAKE_CASE_      		=     set()
      SCREAMING_SNAKE_CASE_      		=     word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)				)
            SCREAMING_SNAKE_CASE_      		=     char
      return pairs





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 lowercase_							       =       VOCAB_FILES_NAMES
 lowercase_							       =       PRETRAINED_VOCAB_FILES_MAP
 lowercase_							       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_							       =       ["input_ids", "attention_mask"]



 def __init__(				self    :						Union[str, Any]							,							_lowerCAmelCase    :						Optional[Any]							,							_lowerCAmelCase    :						List[Any]							,							_lowerCAmelCase    :						Dict="replace"							,							_lowerCAmelCase    :						List[str]="<s>"							,							_lowerCAmelCase    :						Union[str, Any]="</s>"							,							_lowerCAmelCase    :						Dict="</s>"							,							_lowerCAmelCase    :						Tuple="<s>"							,							_lowerCAmelCase    :						Any="<unk>"							,							_lowerCAmelCase    :						Optional[Any]="<pad>"							,							_lowerCAmelCase    :						List[str]="<mask>"							,							_lowerCAmelCase    :						Optional[Any]=False							,							**_lowerCAmelCase    :						Union[str, Any]							,							):
       SCREAMING_SNAKE_CASE_      		=     AddedToken(_lowerCAmelCase							,							lstrip=_lowerCAmelCase							,							rstrip=_lowerCAmelCase		) if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		) else bos_token
       SCREAMING_SNAKE_CASE_      		=     AddedToken(_lowerCAmelCase							,							lstrip=_lowerCAmelCase							,							rstrip=_lowerCAmelCase		) if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		) else eos_token
       SCREAMING_SNAKE_CASE_      		=     AddedToken(_lowerCAmelCase							,							lstrip=_lowerCAmelCase							,							rstrip=_lowerCAmelCase		) if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		) else sep_token
       SCREAMING_SNAKE_CASE_      		=     AddedToken(_lowerCAmelCase							,							lstrip=_lowerCAmelCase							,							rstrip=_lowerCAmelCase		) if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		) else cls_token
       SCREAMING_SNAKE_CASE_      		=     AddedToken(_lowerCAmelCase							,							lstrip=_lowerCAmelCase							,							rstrip=_lowerCAmelCase		) if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		) else unk_token
       SCREAMING_SNAKE_CASE_      		=     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
       SCREAMING_SNAKE_CASE_      		=     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:
             SCREAMING_SNAKE_CASE_      		=     json.load(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     {v: k for k, v in self.encoder.items()}
       SCREAMING_SNAKE_CASE_      		=     errors  # how to handle errors in decoding
       SCREAMING_SNAKE_CASE_      		=     bytes_to_unicode()
       SCREAMING_SNAKE_CASE_      		=     {v: k for k, v in self.byte_encoder.items()}
       with open(_lowerCAmelCase							,							encoding='utf-8'		) as merges_handle:
             SCREAMING_SNAKE_CASE_      		=     merges_handle.read().split('\n'		)[1:-1]
       SCREAMING_SNAKE_CASE_      		=     [tuple(merge.split()		) for merge in bpe_merges]
       SCREAMING_SNAKE_CASE_      		=     dict(zip(_lowerCAmelCase							,							range(len(_lowerCAmelCase		)		)		)		)
       SCREAMING_SNAKE_CASE_      		=     {}
       SCREAMING_SNAKE_CASE_      		=     add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       SCREAMING_SNAKE_CASE_      		=     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    :						Optional[int]		):
       return dict(self.encoder							,							**self.added_tokens_encoder		)



 def  lowerCAmelCase_    (				self    :						Dict							,							_lowerCAmelCase    :						Optional[int]		):
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE_      		=     tuple(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     get_pairs(_lowerCAmelCase		)

       if not pairs:
             return token

       while True:
             SCREAMING_SNAKE_CASE_      		=     min(_lowerCAmelCase							,							key=lambda _lowerCAmelCase		: self.bpe_ranks.get(_lowerCAmelCase							,							float('inf'		)		)		)
             if bigram not in self.bpe_ranks:
                   break
             SCREAMING_SNAKE_CASE_		,					SCREAMING_SNAKE_CASE_      		=     bigram
             SCREAMING_SNAKE_CASE_      		=     []
             SCREAMING_SNAKE_CASE_      		=     0
             while i < len(_lowerCAmelCase		):
                   try:
                         SCREAMING_SNAKE_CASE_      		=     word.index(_lowerCAmelCase							,							_lowerCAmelCase		)
                   except ValueError:
                         new_word.extend(word[i:]		)
                         break
                   else:
                         new_word.extend(word[i:j]		)
                         SCREAMING_SNAKE_CASE_      		=     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
             SCREAMING_SNAKE_CASE_      		=     tuple(_lowerCAmelCase		)
             SCREAMING_SNAKE_CASE_      		=     new_word
             if len(_lowerCAmelCase		) == 1:
                   break
             else:
                   SCREAMING_SNAKE_CASE_      		=     get_pairs(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     ' '.join(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     word
       return word



 def  lowerCAmelCase_    (				self    :						str							,							_lowerCAmelCase    :						Dict		):
       SCREAMING_SNAKE_CASE_      		=     []
       for token in re.findall(self.pat							,							_lowerCAmelCase		):
             SCREAMING_SNAKE_CASE_      		=     ''.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  lowerCAmelCase_    (				self    :						List[str]							,							_lowerCAmelCase    :						Union[str, Any]		):
       return self.encoder.get(_lowerCAmelCase							,							self.encoder.get(self.unk_token		)		)



 def  lowerCAmelCase_    (				self    :						Any							,							_lowerCAmelCase    :						Optional[Any]		):
       return self.decoder.get(_lowerCAmelCase		)



 def  lowerCAmelCase_    (				self    :						int							,							_lowerCAmelCase    :						Optional[int]		):
       SCREAMING_SNAKE_CASE_      		=     ''.join(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     bytearray([self.byte_decoder[c] for c in text]		).decode('utf-8'							,							errors=self.errors		)
       return text



 def  lowerCAmelCase_    (				self    :						Union[str, Any]							,							_lowerCAmelCase    :						str							,							_lowerCAmelCase    :						Optional[str] = None		):
       if not os.path.isdir(_lowerCAmelCase		):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"		)
             return
       SCREAMING_SNAKE_CASE_      		=     os.path.join(
           _lowerCAmelCase							,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
       SCREAMING_SNAKE_CASE_      		=     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'		)

       SCREAMING_SNAKE_CASE_      		=     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!'		)
                         SCREAMING_SNAKE_CASE_      		=     token_index
                   writer.write(' '.join(_lowerCAmelCase		) + '\n'		)
                   index += 1

       return vocab_file, merge_file



 def  lowerCAmelCase_    (				self    :						int							,							_lowerCAmelCase    :						List[int]							,							_lowerCAmelCase    :						Optional[List[int]] = None		):
       if token_ids_a is None:
             return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       SCREAMING_SNAKE_CASE_      		=     [self.cls_token_id]
       SCREAMING_SNAKE_CASE_      		=     [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep



 def  lowerCAmelCase_    (				self    :						Optional[int]							,							_lowerCAmelCase    :						List[int]							,							_lowerCAmelCase    :						Optional[List[int]] = None							,							_lowerCAmelCase    :						bool = False		):
       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  lowerCAmelCase_    (				self    :						str							,							_lowerCAmelCase    :						List[int]							,							_lowerCAmelCase    :						Optional[List[int]] = None		):
       SCREAMING_SNAKE_CASE_      		=     [self.sep_token_id]
       SCREAMING_SNAKE_CASE_      		=     [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							,							_lowerCAmelCase    :						List[str]							,							_lowerCAmelCase    :						Any=False							,							**_lowerCAmelCase    :						Any		):
       SCREAMING_SNAKE_CASE_      		=     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()):
             SCREAMING_SNAKE_CASE_      		=     ' ' + text
       return (text, kwargs)




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

       # Load from model defaults
       if return_attention_mask is None:
             SCREAMING_SNAKE_CASE_      		=     'attention_mask' in self.model_input_names

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

             if needs_to_be_padded:
                   SCREAMING_SNAKE_CASE_      		=     len(_lowerCAmelCase		) - 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`
                         SCREAMING_SNAKE_CASE_      		=     (
                             encoded_inputs['global_attention_mask'] + [-1] * difference
                         )
                   elif self.padding_side == "left":
                         SCREAMING_SNAKE_CASE_      		=     [-1] * difference + encoded_inputs[
                             'global_attention_mask'
                         ]
                   else:
                         raise ValueError('Invalid padding strategy:' + str(self.padding_side		)		)

       return encoded_inputs





def    UpperCAmelCase_				( __UpperCAmelCase		:      list     ,     __UpperCAmelCase		:      int     ,     __UpperCAmelCase		:      int = 0     ,     __UpperCAmelCase		:      int = 0				)   ->					int:
      SCREAMING_SNAKE_CASE_      		=     right or len(__UpperCAmelCase				) - 1
      if left > right:
            return -1
      elif list_data[left] == key:
            return left
      elif list_data[right] == key:
            return right
      else:
            return search(__UpperCAmelCase     ,     __UpperCAmelCase     ,     left + 1     ,     right - 1				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()