

import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


a		=logging.get_logger(__name__)

a		={"""vocab_file""": """spiece.model"""}

a		={
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    }
}






class        A_		(       SCREAMING_SNAKE_CASE				):
							def __init__(		self		:			Any   ,SCREAMING_SNAKE_CASE__		:			Optional[Any]   ,SCREAMING_SNAKE_CASE__		:			Any=False   ,SCREAMING_SNAKE_CASE__		:			Tuple=True   ,SCREAMING_SNAKE_CASE__		:			Optional[int]=False   ,SCREAMING_SNAKE_CASE__		:			Tuple="<s>"   ,SCREAMING_SNAKE_CASE__		:			Optional[Any]="</s>"   ,SCREAMING_SNAKE_CASE__		:			Any="<unk>"   ,SCREAMING_SNAKE_CASE__		:			Union[str, Any]="<sep>"   ,SCREAMING_SNAKE_CASE__		:			Optional[int]="<pad>"   ,SCREAMING_SNAKE_CASE__		:			List[Any]="<cls>"   ,SCREAMING_SNAKE_CASE__		:			Optional[Any]="<mask>"   ,SCREAMING_SNAKE_CASE__		:			Dict=["<eop>", "<eod>"]   ,SCREAMING_SNAKE_CASE__		:			Optional[Dict[str, Any]] = None   ,**SCREAMING_SNAKE_CASE__		:			List[Any]   ,):
								__lowerCamelCase				:				List[Any]					       = AddedToken(SCREAMING_SNAKE_CASE__   ,lstrip=SCREAMING_SNAKE_CASE__   ,rstrip=SCREAMING_SNAKE_CASE__) if isinstance(SCREAMING_SNAKE_CASE__   ,SCREAMING_SNAKE_CASE__) else mask_token

								__lowerCamelCase				:				List[str]					       = {} if sp_model_kwargs is None else sp_model_kwargs

								super().__init__(
								    do_lower_case=SCREAMING_SNAKE_CASE__   ,remove_space=SCREAMING_SNAKE_CASE__   ,keep_accents=SCREAMING_SNAKE_CASE__   ,bos_token=SCREAMING_SNAKE_CASE__   ,eos_token=SCREAMING_SNAKE_CASE__   ,unk_token=SCREAMING_SNAKE_CASE__   ,sep_token=SCREAMING_SNAKE_CASE__   ,pad_token=SCREAMING_SNAKE_CASE__   ,cls_token=SCREAMING_SNAKE_CASE__   ,mask_token=SCREAMING_SNAKE_CASE__   ,additional_special_tokens=SCREAMING_SNAKE_CASE__   ,sp_model_kwargs=self.sp_model_kwargs   ,**SCREAMING_SNAKE_CASE__   ,)

								__lowerCamelCase				:				Optional[int]					       = 3

								__lowerCamelCase				:				str					       = do_lower_case
								__lowerCamelCase				:				Optional[int]					       = remove_space
								__lowerCamelCase				:				List[Any]					       = keep_accents
								__lowerCamelCase				:				Any					       = vocab_file

								__lowerCamelCase				:				Optional[Any]					       = spm.SentencePieceProcessor(**self.sp_model_kwargs)
								self.sp_model.Load(SCREAMING_SNAKE_CASE__)

								try:
									import jieba
								except ModuleNotFoundError as error:
									raise error.__class__(
									    'You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '
									    'See https://pypi.org/project/jieba/ for installation.')
								__lowerCamelCase				:				Optional[int]					       = jieba
								__lowerCamelCase				:				str					       = str.maketrans(' \n'   ,'\u2582\u2583')
							@property
							# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
							def     lowerCAmelCase     (		self		:			Dict):
								return len(self.sp_model)
							def     lowerCAmelCase     (		self		:			Dict):
								__lowerCamelCase				:				Dict					       = {self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__): i for i in range(self.vocab_size)}
								vocab.update(self.added_tokens_encoder)
								return vocab
							def __getstate__(		self		:			Optional[Any]):
								__lowerCamelCase				:				List[str]					       = self.__dict__.copy()
								__lowerCamelCase				:				Optional[int]					       = None
								return state
							def __setstate__(		self		:			List[str]   ,SCREAMING_SNAKE_CASE__		:			Optional[int]):
								__lowerCamelCase				:				int					       = d

								# for backward compatibility
								if not hasattr(self   ,'sp_model_kwargs'):
									__lowerCamelCase				:				List[Any]					       = {}

								__lowerCamelCase				:				str					       = spm.SentencePieceProcessor(**self.sp_model_kwargs)
								self.sp_model.Load(self.vocab_file)
							def     lowerCAmelCase     (		self		:			int   ,SCREAMING_SNAKE_CASE__		:			int):
								if self.remove_space:
									__lowerCamelCase				:				List[Any]					       = ' '.join(inputs.strip().split())
								else:
									__lowerCamelCase				:				Dict					       = inputs
								__lowerCamelCase				:				List[str]					       = outputs.replace('``'   ,'"').replace('\'\''   ,'"')

								if not self.keep_accents:
									__lowerCamelCase				:				List[str]					       = unicodedata.normalize('NFKD'   ,SCREAMING_SNAKE_CASE__)
									__lowerCamelCase				:				int					       = ''.join([c for c in outputs if not unicodedata.combining(SCREAMING_SNAKE_CASE__)])
								if self.do_lower_case:
									__lowerCamelCase				:				str					       = outputs.lower()

								return outputs
							def     lowerCAmelCase     (		self		:			Optional[int]   ,SCREAMING_SNAKE_CASE__		:			str):
								__lowerCamelCase				:				Any					       = self.preprocess_text(SCREAMING_SNAKE_CASE__)
								__lowerCamelCase				:				List[Any]					       = self.sp_model.encode(SCREAMING_SNAKE_CASE__   ,out_type=SCREAMING_SNAKE_CASE__)
								__lowerCamelCase				:				Any					       = []
								for piece in pieces:
									if len(SCREAMING_SNAKE_CASE__) > 1 and piece[-1] == str(',') and piece[-2].isdigit():
										__lowerCamelCase				:				Optional[int]					       = self.sp_model.EncodeAsPieces(piece[:-1].replace(SCREAMING_SNAKE_CASE__   ,''))
										if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
											if len(cur_pieces[0]) == 1:
												__lowerCamelCase				:				Dict					       = cur_pieces[1:]
											else:
												__lowerCamelCase				:				Union[str, Any]					       = cur_pieces[0][1:]
										cur_pieces.append(piece[-1])
										new_pieces.extend(SCREAMING_SNAKE_CASE__)
									else:
										new_pieces.append(SCREAMING_SNAKE_CASE__)

								return new_pieces
							def     lowerCAmelCase     (		self		:			Optional[int]   ,SCREAMING_SNAKE_CASE__		:			Union[str, Any]):
								return self.sp_model.PieceToId(SCREAMING_SNAKE_CASE__)
							def     lowerCAmelCase     (		self		:			str   ,SCREAMING_SNAKE_CASE__		:			str):
								return self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE__)
							def     lowerCAmelCase     (		self		:			Dict   ,SCREAMING_SNAKE_CASE__		:			Optional[Any]):
								__lowerCamelCase				:				Optional[int]					       = ''.join(SCREAMING_SNAKE_CASE__).replace(SCREAMING_SNAKE_CASE__   ,' ').strip()
								return out_string
							def     lowerCAmelCase     (		self		:			str   ,SCREAMING_SNAKE_CASE__		:			List[int]   ,SCREAMING_SNAKE_CASE__		:			Optional[List[int]] = None):
								__lowerCamelCase				:				List[str]					       = [self.sep_token_id]
								__lowerCamelCase				:				List[Any]					       = [self.cls_token_id]
								if token_ids_a is None:
									return token_ids_a + sep + cls
								return token_ids_a + sep + token_ids_a + sep + cls
							def     lowerCAmelCase     (		self		:			str   ,SCREAMING_SNAKE_CASE__		:			List[int]   ,SCREAMING_SNAKE_CASE__		:			Optional[List[int]] = None   ,SCREAMING_SNAKE_CASE__		:			bool = False):

								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 not None:
									return ([0] * len(SCREAMING_SNAKE_CASE__)) + [1] + ([0] * len(SCREAMING_SNAKE_CASE__)) + [1, 1]
								return ([0] * len(SCREAMING_SNAKE_CASE__)) + [1, 1]
							def     lowerCAmelCase     (		self		:			List[str]   ,SCREAMING_SNAKE_CASE__		:			List[int]   ,SCREAMING_SNAKE_CASE__		:			Optional[List[int]] = None):
								__lowerCamelCase				:				Any					       = [self.sep_token_id]
								__lowerCamelCase				:				Tuple					       = [2]

								if token_ids_a is None:
									return len(token_ids_a + sep) * [0] + cls_segment_id
								return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1] + cls_segment_id
							def     lowerCAmelCase     (		self		:			Optional[int]   ,SCREAMING_SNAKE_CASE__		:			str   ,SCREAMING_SNAKE_CASE__		:			Optional[str] = None):
								if not os.path.isdir(SCREAMING_SNAKE_CASE__):
									logger.error(F"Vocabulary path ({save_directory}) should be a directory")
									return
								__lowerCamelCase				:				Any					       = os.path.join(
								    SCREAMING_SNAKE_CASE__   ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

								if os.path.abspath(self.vocab_file) != os.path.abspath(SCREAMING_SNAKE_CASE__) and os.path.isfile(self.vocab_file):
									copyfile(self.vocab_file   ,SCREAMING_SNAKE_CASE__)
								elif not os.path.isfile(self.vocab_file):
									with open(SCREAMING_SNAKE_CASE__   ,'wb') as fi:
										__lowerCamelCase				:				Dict					       = self.sp_model.serialized_model_proto()
										fi.write(SCREAMING_SNAKE_CASE__)

								return (out_vocab_file,)


							def     lowerCAmelCase     (		self		:			List[Any]   ,*SCREAMING_SNAKE_CASE__		:			Any   ,**SCREAMING_SNAKE_CASE__		:			List[Any]):
								__lowerCamelCase				:				List[Any]					       = super()._decode(*SCREAMING_SNAKE_CASE__   ,**SCREAMING_SNAKE_CASE__)
								__lowerCamelCase				:				Optional[int]					       = text.replace(' '   ,'').replace('\u2582'   ,' ').replace('\u2583'   ,'\n')
								return text








'''simple docstring'''

import os





def __snake_case					(      UpperCAmelCase_						:						str = "matrix.txt"		):
 with open(os.path.join(os.path.dirname(UpperCAmelCase_		)					,				UpperCAmelCase_		)		) as in_file:
  lowerCamelCase_      =  in_file.read()

 lowerCamelCase_      =  [[int(UpperCAmelCase_		) for cell in row.split(","		)] for row in data.strip().splitlines()]
 lowerCamelCase_      =  [[0 for cell in row] for row in grid]
 lowerCamelCase_      =  len(grid[0]		)

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

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

 return dp[-1][-1]


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



