




"""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


_SCREAMING_SNAKE_CASE						 =     logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE						 =     {
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
}

_SCREAMING_SNAKE_CASE						 =     {
    '''roberta-base''': 5_1_2,
    '''roberta-large''': 5_1_2,
    '''roberta-large-mnli''': 5_1_2,
    '''distilroberta-base''': 5_1_2,
    '''roberta-base-openai-detector''': 5_1_2,
    '''roberta-large-openai-detector''': 5_1_2,
}






@lru_cache()
def 				__lowerCAmelCase					(					)    ->       Union[str, Any]:
 _UpperCamelCase      :	Any					      =  (
     list(range(ord("!"						)  ,	ord("~"						) + 1						)						) + list(range(ord("¡"						)  ,	ord("¬"						) + 1						)						) + list(range(ord("®"						)  ,	ord("ÿ"						) + 1						)						)
 )
 _UpperCamelCase      :	int					      =  bs[:]
 _UpperCamelCase      :	Dict					      =  0
 for b in range(2**8						):
  if b not in bs:
   bs.append(lowerCamelCase_						)
   cs.append(2**8 + n						)
   n += 1
 _UpperCamelCase      :	Dict					      =  [chr(lowerCamelCase_						) for n in cs]
 return dict(zip(lowerCamelCase_  ,	lowerCamelCase_						)						)






def 				__lowerCAmelCase					(					__lowerCAmelCase			:		Union[str, Any]						)    ->       List[Any]:
 _UpperCamelCase      :	Any					      =  set()
 _UpperCamelCase      :	Any					      =  word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)						)
  _UpperCamelCase      :	Any					      =  char
 return pairs







class  _SCREAMING_SNAKE_CASE       (     _lowercase				):



 '''simple docstring'''





 __UpperCAmelCase		   =							VOCAB_FILES_NAMES
 __UpperCAmelCase		   =							PRETRAINED_VOCAB_FILES_MAP
 __UpperCAmelCase		   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __UpperCAmelCase		   =							["""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__					,     ):

  '''simple docstring'''







  _UpperCamelCase      :	Any					      =  AddedToken(__SCREAMING_SNAKE_CASE					,     lstrip=__SCREAMING_SNAKE_CASE					,     rstrip=__SCREAMING_SNAKE_CASE   ) if isinstance(__SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE   ) else bos_token
  _UpperCamelCase      :	List[Any]					      =  AddedToken(__SCREAMING_SNAKE_CASE					,     lstrip=__SCREAMING_SNAKE_CASE					,     rstrip=__SCREAMING_SNAKE_CASE   ) if isinstance(__SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE   ) else eos_token
  _UpperCamelCase      :	int					      =  AddedToken(__SCREAMING_SNAKE_CASE					,     lstrip=__SCREAMING_SNAKE_CASE					,     rstrip=__SCREAMING_SNAKE_CASE   ) if isinstance(__SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE   ) else sep_token
  _UpperCamelCase      :	List[Any]					      =  AddedToken(__SCREAMING_SNAKE_CASE					,     lstrip=__SCREAMING_SNAKE_CASE					,     rstrip=__SCREAMING_SNAKE_CASE   ) if isinstance(__SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE   ) else cls_token
  _UpperCamelCase      :	int					      =  AddedToken(__SCREAMING_SNAKE_CASE					,     lstrip=__SCREAMING_SNAKE_CASE					,     rstrip=__SCREAMING_SNAKE_CASE   ) if isinstance(__SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE   ) else unk_token
  _UpperCamelCase      :	List[str]					      =  AddedToken(__SCREAMING_SNAKE_CASE					,     lstrip=__SCREAMING_SNAKE_CASE					,     rstrip=__SCREAMING_SNAKE_CASE   ) if isinstance(__SCREAMING_SNAKE_CASE					,     __SCREAMING_SNAKE_CASE   ) else pad_token

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

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

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

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






 @property
 def lowercase_      (self   ):

  '''simple docstring'''







  return len(self.encoder   )






 def lowercase_      (self   ):

  '''simple docstring'''







  return dict(self.encoder					,     **self.added_tokens_encoder   )






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  if token in self.cache:
   return self.cache[token]
  _UpperCamelCase      :	Any					      =  tuple(__SCREAMING_SNAKE_CASE   )
  _UpperCamelCase      :	Optional[int]					      =  get_pairs(__SCREAMING_SNAKE_CASE   )

  if not pairs:
   return token

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

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






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	Any					      =  []
  for token in re.findall(self.pat					,     __SCREAMING_SNAKE_CASE   ):
   _UpperCamelCase      :	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(__SCREAMING_SNAKE_CASE   ).split(" "   )   )
  return bpe_tokens






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  return self.encoder.get(__SCREAMING_SNAKE_CASE					,     self.encoder.get(self.unk_token   )   )






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  return self.decoder.get(__SCREAMING_SNAKE_CASE   )






 def lowercase_      (self					,     lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	List[str]					      =  "".join(__SCREAMING_SNAKE_CASE   )
  _UpperCamelCase      :	Optional[Any]					      =  bytearray([self.byte_decoder[c] for c in text]   ).decode("utf-8"					,     errors=self.errors   )
  return text






 def lowercase_      (self					,     lowerCAmelCase__					,     lowerCAmelCase__ = None   ):

  '''simple docstring'''







  if not os.path.isdir(__SCREAMING_SNAKE_CASE   ):
   logger.error(F"Vocabulary path ({save_directory}) should be a directory"   )
   return
  _UpperCamelCase      :	Optional[int]					      =  os.path.join(
      __SCREAMING_SNAKE_CASE					,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )
  _UpperCamelCase      :	Tuple					      =  os.path.join(
      __SCREAMING_SNAKE_CASE					,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]   )

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

  _UpperCamelCase      :	int					      =  0
  with open(__SCREAMING_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 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!"   )
     _UpperCamelCase      :	Union[str, Any]					      =  token_index
    writer.write(" ".join(__SCREAMING_SNAKE_CASE   ) + "\n"   )
    index += 1

  return vocab_file, merge_file






 def lowercase_      (self					,     lowerCAmelCase__					,     lowerCAmelCase__ = None   ):

  '''simple docstring'''







  if token_ids_a is None:
   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  _UpperCamelCase      :	Any					      =  [self.cls_token_id]
  _UpperCamelCase      :	Dict					      =  [self.sep_token_id]
  return cls + token_ids_a + sep + sep + token_ids_a + sep






 def lowercase_      (self					,     lowerCAmelCase__					,     lowerCAmelCase__ = None					,     lowerCAmelCase__ = False   ):

  '''simple docstring'''







  if already_has_special_tokens:
   return super().get_special_tokens_mask(
       token_ids_a=__SCREAMING_SNAKE_CASE					,     token_ids_a=__SCREAMING_SNAKE_CASE					,     already_has_special_tokens=__SCREAMING_SNAKE_CASE   )

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






 def lowercase_      (self					,     lowerCAmelCase__					,     lowerCAmelCase__ = None   ):

  '''simple docstring'''







  _UpperCamelCase      :	str					      =  [self.sep_token_id]
  _UpperCamelCase      :	Dict					      =  [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 lowercase_      (self					,     lowerCAmelCase__					,     lowerCAmelCase__=False					,     **lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	List[str]					      =  kwargs.pop("add_prefix_space"					,     self.add_prefix_space   )
  if (is_split_into_words or add_prefix_space) and (len(__SCREAMING_SNAKE_CASE   ) > 0 and not text[0].isspace()):
   _UpperCamelCase      :	Dict					      =  " " + text
  return (text, kwargs)




def  UpperCAmelCase__(    lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   len(lowerCamelCase_	)
			_snake_case														=   [0] * length
			_snake_case														=   [[False for i in range(lowerCamelCase_	)] for j in range(lowerCamelCase_	)]
			for i, c in enumerate(lowerCamelCase_	):
						_snake_case														=   i
						for j in range(i + 1	):
									if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
												_snake_case														=   True
												_snake_case														=   min(lowerCamelCase_				,						0 if j == 0 else (cut[j - 1] + 1)	)
						_snake_case														=   mincut
			return cut[length - 1]


if __name__ == "__main__":
			_SCREAMING_SNAKE_CASE:    Dict     						=							input('''Enter the string: ''').strip()
			_SCREAMING_SNAKE_CASE:    str     						=							find_minimum_partitions(s)
			print(F"Minimum number of partitions required for the '{s}' is {ans}")

