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

import regex as re

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


if TYPE_CHECKING:
      from transformers.pipelines.conversational import Conversation

lowercase_     :   str 				=				logging.get_logger(__name__)


lowercase_     :   List[str] 				=				{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

lowercase_     :   Optional[int] 				=				{
    'vocab_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'},
    'merges_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'},
    'tokenizer_config_file': {
        'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'
    },
}

lowercase_     :   Any 				=				{'facebook/blenderbot-3B': 1_2_8}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 			A__      (	):
 SCREAMING_SNAKE_CASE__:   List[Any]=      (
     list(range(ord('''!'''      )       ,				ord('''~'''      ) + 1      )      ) + list(range(ord('''¡'''      )       ,				ord('''¬'''      ) + 1      )      ) + list(range(ord('''®'''      )       ,				ord('''ÿ'''      ) + 1      )      )
 )
 SCREAMING_SNAKE_CASE__:   List[Any]=      bs[:]
 SCREAMING_SNAKE_CASE__:   Optional[int]=      0
 for b in range(2**8      ):
  if b not in bs:
   bs.append(snake_case_      )
   cs.append(2**8 + n      )
   n += 1
 SCREAMING_SNAKE_CASE__:   Tuple=      [chr(snake_case_      ) for n in cs]
 return dict(zip(snake_case_       ,				snake_case_      )      )







def 			A__      (	snake_case_ :		str      ):
 SCREAMING_SNAKE_CASE__:   List[str]=      set()
 SCREAMING_SNAKE_CASE__:   Dict=      word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)      )
  SCREAMING_SNAKE_CASE__:   Dict=      char
 return pairs






class 		_lowerCamelCase		(   UpperCamelCase_    ):
    __a  =      VOCAB_FILES_NAMES
    __a  =      PRETRAINED_VOCAB_FILES_MAP
    __a  =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __a  =      ["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 , )       ->					List[str]:
     SCREAMING_SNAKE_CASE__:   Optional[int]=      AddedToken(lowerCAmelCase , lstrip=lowerCAmelCase , rstrip=lowerCAmelCase   ) if isinstance(lowerCAmelCase , lowerCAmelCase   ) else bos_token
     SCREAMING_SNAKE_CASE__:   List[str]=      AddedToken(lowerCAmelCase , lstrip=lowerCAmelCase , rstrip=lowerCAmelCase   ) if isinstance(lowerCAmelCase , lowerCAmelCase   ) else eos_token
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      AddedToken(lowerCAmelCase , lstrip=lowerCAmelCase , rstrip=lowerCAmelCase   ) if isinstance(lowerCAmelCase , lowerCAmelCase   ) else sep_token
     SCREAMING_SNAKE_CASE__:   Tuple=      AddedToken(lowerCAmelCase , lstrip=lowerCAmelCase , rstrip=lowerCAmelCase   ) if isinstance(lowerCAmelCase , lowerCAmelCase   ) else cls_token
     SCREAMING_SNAKE_CASE__:   Optional[int]=      AddedToken(lowerCAmelCase , lstrip=lowerCAmelCase , rstrip=lowerCAmelCase   ) if isinstance(lowerCAmelCase , lowerCAmelCase   ) else unk_token
     SCREAMING_SNAKE_CASE__:   Optional[int]=      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__:   List[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:
      SCREAMING_SNAKE_CASE__:   int=      json.load(lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   Tuple=      {v: k for k, v in self.encoder.items()}
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      errors  # how to handle errors in decoding
     SCREAMING_SNAKE_CASE__:   Tuple=      bytes_to_unicode()
     SCREAMING_SNAKE_CASE__:   int=      {v: k for k, v in self.byte_encoder.items()}
     with open(lowerCAmelCase , encoding='''utf-8'''   ) as merges_handle:
      SCREAMING_SNAKE_CASE__:   List[Any]=      merges_handle.read().split('''\n'''   )[1:-1]
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      [tuple(merge.split()   ) for merge in bpe_merges]
     SCREAMING_SNAKE_CASE__:   List[Any]=      dict(zip(lowerCAmelCase , range(len(lowerCAmelCase   )   )   )   )
     SCREAMING_SNAKE_CASE__:   int=      {}
     SCREAMING_SNAKE_CASE__:   Optional[int]=      add_prefix_space

     # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      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.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
    def 						UpperCamelCase_				(  self   )       ->					List[Any]:
     return len(self.encoder   )
    def 						UpperCamelCase_				(  self   )       ->					Any:
     return dict(self.encoder , **self.added_tokens_encoder   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					Tuple:
     if token in self.cache:
      return self.cache[token]
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      tuple(lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   Union[str, Any]=      get_pairs(lowerCAmelCase   )

     if not pairs:
      return token

     while True:
      SCREAMING_SNAKE_CASE__:   Union[str, Any]=      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__:   Optional[Any]=      bigram
      SCREAMING_SNAKE_CASE__:   List[str]=      []
      SCREAMING_SNAKE_CASE__:   Optional[int]=      0
      while i < len(lowerCAmelCase   ):
       try:
        SCREAMING_SNAKE_CASE__:   Union[str, Any]=      word.index(lowerCAmelCase , lowerCAmelCase   )
       except ValueError:
        new_word.extend(word[i:]   )
        break
       else:
        new_word.extend(word[i:j]   )
        SCREAMING_SNAKE_CASE__:   Optional[int]=      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__:   List[Any]=      tuple(lowerCAmelCase   )
      SCREAMING_SNAKE_CASE__:   Optional[Any]=      new_word
      if len(lowerCAmelCase   ) == 1:
       break
      else:
       SCREAMING_SNAKE_CASE__:   Dict=      get_pairs(lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   List[str]=      ''' '''.join(lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   int=      word
     return word
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					List[Any]:
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      []
     for token in re.findall(self.pat , lowerCAmelCase   ):
      SCREAMING_SNAKE_CASE__:   List[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   )       ->					Dict:
     return self.encoder.get(lowerCAmelCase , self.encoder.get(self.unk_token   )   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					Dict:
     return self.decoder.get(lowerCAmelCase   )
    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					List[str]:
     SCREAMING_SNAKE_CASE__:   int=      ''''''.join(lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   List[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
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      os.path.join(
         lowerCAmelCase , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      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__:   Optional[int]=      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__:   int=      token_index
       writer.write(''' '''.join(lowerCAmelCase   ) + '''\n'''   )
       index += 1

     return vocab_file, merge_file
    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]:
     SCREAMING_SNAKE_CASE__:   Tuple=      [self.sep_token_id]
     SCREAMING_SNAKE_CASE__:   Optional[Any]=      [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   )       ->					Dict:
     SCREAMING_SNAKE_CASE__:   int=      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__:   Dict=      ''' ''' + text
     return (text, kwargs)
    def 						UpperCamelCase_				(  self , lowerCAmelCase , lowerCAmelCase = None   )       ->					Dict:
     return token_ids_a + [self.eos_token_id]



    def 						UpperCamelCase_				(  self , lowerCAmelCase   )       ->					List[int]:
     SCREAMING_SNAKE_CASE__:   int=      []
     for is_user, text in conversation.iter_texts():
      if is_user:
       # We need to space prefix as it's being done within blenderbot
       inputs.append(''' ''' + text   )
      else:
       # Generated responses should contain them already.
       inputs.append(lowerCAmelCase   )

     SCREAMING_SNAKE_CASE__:   List[Any]=      '''  '''.join(lowerCAmelCase   )
     SCREAMING_SNAKE_CASE__:   Tuple=      self.encode(lowerCAmelCase   )
     if len(lowerCAmelCase   ) > self.model_max_length:
      SCREAMING_SNAKE_CASE__:   Optional[Any]=      input_ids[-self.model_max_length :]
      logger.warning(f'Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'   )
     return input_ids


import os







def 			A__      (	snake_case_ :		str = "matrix.txt"      ):
 with open(os.path.join(os.path.dirname(snake_case_      )       ,				snake_case_      )      ) as in_file:
  SCREAMING_SNAKE_CASE__:   Dict=      in_file.read()

 SCREAMING_SNAKE_CASE__:   Optional[int]=      [[int(snake_case_      ) for cell in row.split(''','''      )] for row in data.strip().splitlines()]
 SCREAMING_SNAKE_CASE__:   int=      [[0 for cell in row] for row in grid]
 SCREAMING_SNAKE_CASE__:   Dict=      len(grid[0]      )

 SCREAMING_SNAKE_CASE__:   Dict=      [[0 for i in range(snake_case_      )] for j in range(snake_case_      )]
 SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][0]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   Optional[int]=      grid[0][i] + dp[0][i - 1]
 for i in range(1       ,				snake_case_      ):
  SCREAMING_SNAKE_CASE__:   List[Any]=      grid[i][0] + dp[i - 1][0]

 for i in range(1       ,				snake_case_      ):
  for j in range(1       ,				snake_case_      ):
   SCREAMING_SNAKE_CASE__:   Dict=      grid[i][j] + min(dp[i - 1][j]       ,				dp[i][j - 1]      )

 return dp[-1][-1]


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

