






'''simple docstring'''



import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
 import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__UpperCamelCase   :							Union[str, Any]         =   logging.get_logger(__name__)

__UpperCamelCase   :							Optional[int]         =   {"""vocab_file""": """vocab.txt"""}

__UpperCamelCase   :							Any         =   {
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

__UpperCamelCase   :							Optional[int]         =   {
    """openbmb/cpm-ant-10b""": 1024,
}



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						Tuple     )	->      Optional[int]:

   """simple docstring"""
   __a					  =     collections.OrderedDict()
   with open(SCREAMING_SNAKE_CASE__,       'r',       encoding='utf-8'     ) as reader:
      __a					  =     reader.readlines()
   for index, token in enumerate(SCREAMING_SNAKE_CASE__     ):
      __a					  =     token.rstrip('\n'     )
      __a					  =     index
   return vocab
class 				__SCREAMING_SNAKE_CASE							(				_lowerCAmelCase  ):




      def __init__(	self			, lowerCamelCase			, lowerCamelCase="<unk>"			, lowerCamelCase=200   )				->str:



         '''simple docstring'''
         __a					  =     vocab
         __a					  =     unk_token
         __a					  =     max_input_chars_per_word






      def 			__UpperCamelCase				(	self			, lowerCamelCase   )				->Dict:



         '''simple docstring'''
         __a					  =     list(lowerCamelCase   )
         if len(lowerCamelCase   ) > self.max_input_chars_per_word:
            return [self.unk_token]

         __a					  =     0
         __a					  =     []
         while start < len(lowerCamelCase   ):
            __a					  =     len(lowerCamelCase   )
            __a					  =     None
            while start < end:
               __a					  =     ''.join(chars[start:end]   )
               if substr in self.vocab:
                  __a					  =     substr
                  break
               end -= 1
            if cur_substr is None:
               sub_tokens.append(self.unk_token   )
               start += 1
            else:
               sub_tokens.append(lowerCamelCase   )
               __a					  =     end

         return sub_tokens







class 				__SCREAMING_SNAKE_CASE							(				_lowerCAmelCase  ):
      __a	       =VOCAB_FILES_NAMES
      __a	       =PRETRAINED_VOCAB_FILES_MAP
      __a	       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __a	       =["input_ids", "attention_mask"]
      __a	       =False




      def __init__(	self			, lowerCamelCase			, lowerCamelCase="<d>"			, lowerCamelCase="</d>"			, lowerCamelCase="<s>"			, lowerCamelCase="</s>"			, lowerCamelCase="<pad>"			, lowerCamelCase="<unk>"			, lowerCamelCase="</n>"			, lowerCamelCase="</_>"			, lowerCamelCase="left"			, **lowerCamelCase			, )				->Tuple:



         '''simple docstring'''
         requires_backends(self			, ['jieba']   )
         super().__init__(
             bod_token=lowerCamelCase			, eod_token=lowerCamelCase			, bos_token=lowerCamelCase			, eos_token=lowerCamelCase			, pad_token=lowerCamelCase			, unk_token=lowerCamelCase			, line_token=lowerCamelCase			, space_token=lowerCamelCase			, padding_side=lowerCamelCase			, **lowerCamelCase			, )
         __a					  =     bod_token
         __a					  =     eod_token
         __a					  =     load_vocab(lowerCamelCase   )
         __a					  =     self.encoder[space_token]
         __a					  =     self.encoder[line_token]

         del self.encoder[space_token]
         del self.encoder[line_token]

         __a					  =     collections.OrderedDict(sorted(self.encoder.items()			, key=lambda lowerCamelCase   : x[1]   )   )
         __a					  =     {v: k for k, v in self.encoder.items()}

         __a					  =     WordpieceTokenizer(vocab=self.encoder			, unk_token=self.unk_token   )




      @property
      def 			__UpperCamelCase				(	self   )				->List[str]:



         '''simple docstring'''
         return self.encoder[self.bod_token]




      @property
      def 			__UpperCamelCase				(	self   )				->Any:



         '''simple docstring'''
         return self.encoder[self.eod_token]




      @property
      def 			__UpperCamelCase				(	self   )				->Tuple:



         '''simple docstring'''
         return self.encoder["\n"]




      @property
      def 			__UpperCamelCase				(	self   )				->int:



         '''simple docstring'''
         return len(self.encoder   )




      def 			__UpperCamelCase				(	self   )				->Union[str, Any]:



         '''simple docstring'''
         return dict(self.encoder			, **self.added_tokens_encoder   )




      def 			__UpperCamelCase				(	self			, lowerCamelCase   )				->int:



         '''simple docstring'''
         __a					  =     []
         for x in jieba.cut(lowerCamelCase			, cut_all=lowerCamelCase   ):
            output_tokens.extend(self.wordpiece_tokenizer.tokenize(lowerCamelCase   )   )
         return output_tokens




      def 			__UpperCamelCase				(	self			, lowerCamelCase			, **lowerCamelCase   )				->List[str]:



         '''simple docstring'''
         __a					  =     [i for i in token_ids if i >= 0]
         __a					  =     [
             x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
         ]
         return super()._decode(lowerCamelCase			, **lowerCamelCase   )




      def 			__UpperCamelCase				(	self			, lowerCamelCase   )				->Any:



         '''simple docstring'''
         return token in self.encoder




      def 			__UpperCamelCase				(	self			, lowerCamelCase   )				->str:



         '''simple docstring'''
         return "".join(lowerCamelCase   )




      def 			__UpperCamelCase				(	self			, lowerCamelCase   )				->Optional[Any]:



         '''simple docstring'''
         return self.encoder.get(lowerCamelCase			, self.encoder.get(self.unk_token   )   )




      def 			__UpperCamelCase				(	self			, lowerCamelCase   )				->List[Any]:



         '''simple docstring'''
         return self.decoder.get(lowerCamelCase			, self.unk_token   )




      def 			__UpperCamelCase				(	self			, lowerCamelCase			, lowerCamelCase = None   )				->Tuple[str]:



         '''simple docstring'''
         if os.path.isdir(lowerCamelCase   ):
            __a					  =     os.path.join(
                lowerCamelCase			, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
         else:
            __a					  =     (filename_prefix + '-' if filename_prefix else '') + save_directory
         __a					  =     0
         if " " in self.encoder:
            __a					  =     self.encoder[' ']
            del self.encoder[" "]
         if "\n" in self.encoder:
            __a					  =     self.encoder['\n']
            del self.encoder["\n"]
         __a					  =     collections.OrderedDict(sorted(self.encoder.items()			, key=lambda lowerCamelCase   : x[1]   )   )
         with open(lowerCamelCase			, 'w'			, encoding='utf-8'   ) as writer:
            for token, token_index in self.encoder.items():
               if index != token_index:
                  logger.warning(
                      F"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
                      ' Please check that the vocabulary is not corrupted!'   )
                  __a					  =     token_index
               writer.write(token + '\n'   )
               index += 1
         return (vocab_file,)




      def 			__UpperCamelCase				(	self			, lowerCamelCase			, lowerCamelCase = None   )				->List[int]:



         '''simple docstring'''
         if token_ids_a is None:
            return [self.bos_token_id] + token_ids_a
         return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a






      def 			__UpperCamelCase				(	self			, lowerCamelCase			, lowerCamelCase = None			, lowerCamelCase = False   )				->List[int]:



         '''simple docstring'''

         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 not None:
            return [1] + ([0] * len(lowerCamelCase   )) + [1] + ([0] * len(lowerCamelCase   ))
         return [1] + ([0] * len(lowerCamelCase   ))







'''simple docstring'''



import os



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str = "matrix.txt"     )	->      int:

   """simple docstring"""
   with open(os.path.join(os.path.dirname(SCREAMING_SNAKE_CASE__     ),       SCREAMING_SNAKE_CASE__     )     ) as in_file:
      __a					  =     in_file.read()

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

   __a					  =     [[0 for i in range(SCREAMING_SNAKE_CASE__     )] for j in range(SCREAMING_SNAKE_CASE__     )]
   __a					  =     grid[0][0]
   for i in range(1,       SCREAMING_SNAKE_CASE__     ):
      __a					  =     grid[0][i] + dp[0][i - 1]
   for i in range(1,       SCREAMING_SNAKE_CASE__     ):
      __a					  =     grid[i][0] + dp[i - 1][0]

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

   return dp[-1][-1]


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