

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


snake_case_			  = logging.get_logger(__name__)


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

snake_case_			  = {
    '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'
        ),
    },
}

snake_case_			  = {
    'allenai/longformer-base-4096': 4_096,
    'allenai/longformer-large-4096': 4_096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4_096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4_096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4_096,
}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	snake_case__			(    ):



     '''simple docstring'''





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

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Union[str, Any]			):



     '''simple docstring'''





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


class       SCREAMING_SNAKE_CASE__					(SCREAMING_SNAKE_CASE_     ):
    __lowerCamelCase						:       Any														=     VOCAB_FILES_NAMES
    __lowerCamelCase						:       List[str]														=     PRETRAINED_VOCAB_FILES_MAP
    __lowerCamelCase						:       Dict														=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowerCamelCase						:       List[str]														=     ["input_ids", "attention_mask"]





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

         # Mask token behave like a normal word, i.e. include the space before it
         lowercase__    :   Optional[Any]      =       AddedToken(a__						,   lstrip=a__						,   rstrip=a__) if isinstance(a__						,   a__) else mask_token

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

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

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





    @property
    def       snake_case_				(      self):
         return len(self.encoder)





    def       snake_case_				(      self):
         return dict(self.encoder						,   **self.added_tokens_encoder)





    def       snake_case_				(      self						,   a):
         if token in self.cache:
              return self.cache[token]
         lowercase__    :   Any      =       tuple(a__)
         lowercase__    :   Tuple      =       get_pairs(a__)

         if not pairs:
              return token

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

                   if word[i] == first and i < len(a__) - 1 and word[i + 1] == second:
                        new_word.append(first + second)
                        i += 2
                   else:
                        new_word.append(word[i])
                        i += 1
              lowercase__    :   List[Any]      =       tuple(a__)
              lowercase__    :   Optional[int]      =       new_word
              if len(a__) == 1:
                   break
              else:
                   lowercase__    :   Any      =       get_pairs(a__)
         lowercase__    :   str      =       """ """.join(a__)
         lowercase__    :   str      =       word
         return word





    def       snake_case_				(      self						,   a):
         lowercase__    :   Tuple      =       []
         for token in re.findall(self.pat						,   a__):
              lowercase__    :   List[Any]      =       """""".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(a__).split(' '))
         return bpe_tokens





    def       snake_case_				(      self						,   a):
         return self.encoder.get(a__						,   self.encoder.get(self.unk_token))





    def       snake_case_				(      self						,   a):
         return self.decoder.get(a__)





    def       snake_case_				(      self						,   a):
         lowercase__    :   Optional[int]      =       """""".join(a__)
         lowercase__    :   int      =       bytearray([self.byte_decoder[c] for c in text]).decode('utf-8'						,   errors=self.errors)
         return text





    def       snake_case_				(      self						,   a						,   a = None):
         if not os.path.isdir(a__):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
              return
         lowercase__    :   Tuple      =       os.path.join(
             a__						,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
         lowercase__    :   List[str]      =       os.path.join(
             a__						,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

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

         lowercase__    :   Optional[int]      =       0
         with open(a__						,   '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 a: 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!')
                        lowercase__    :   List[str]      =       token_index
                   writer.write(' '.join(a__) + '\n')
                   index += 1

         return vocab_file, merge_file





    def       snake_case_				(      self						,   a						,   a = None):
         if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         lowercase__    :   Union[str, Any]      =       [self.cls_token_id]
         lowercase__    :   Optional[Any]      =       [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep





    def       snake_case_				(      self						,   a						,   a = None						,   a = False):
         if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=a__						,   token_ids_a=a__						,   already_has_special_tokens=a__)

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





    def       snake_case_				(      self						,   a						,   a = None):
         lowercase__    :   Dict      =       [self.sep_token_id]
         lowercase__    :   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       snake_case_				(      self						,   a						,   a=False						,   **a):
         lowercase__    :   int      =       kwargs.pop('add_prefix_space'						,   self.add_prefix_space)
         if (is_split_into_words or add_prefix_space) and (len(a__) > 0 and not text[0].isspace()):
              lowercase__    :   int      =       """ """ + text
         return (text, kwargs)


"""simple docstring"""




def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       int = 50	)       ->      int:
  _lowerCAmelCase						:       int  			=     [1] * (length + 1)

  for row_length in range(3			,length + 1	):
    for block_length in range(3			,row_length + 1	):
      for block_start in range(row_length - block_length	):
        ways_number[row_length] += ways_number[
            row_length - block_start - block_length - 1
        ]

      ways_number[row_length] += 1

  return ways_number[length]


if __name__ == "__main__":
     print(F"""{solution() = }""")




