



"""simple docstring"""





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


lowerCamelCase      =		logging.get_logger(__name__)

lowerCamelCase      =		{'''vocab_file''': '''spiece.model'''}

lowerCamelCase      =		{
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    }
}
class    lowercase__     (					_UpperCAmelCase   ):







       '''simple docstring'''


       def __init__(							self    :						Optional[Any]	,       _UpperCAmelCase    :						Tuple	,       _UpperCAmelCase    :						int=False	,       _UpperCAmelCase    :						str=True	,       _UpperCAmelCase    :						Optional[int]=False	,       _UpperCAmelCase    :						Optional[Any]="<s>"	,       _UpperCAmelCase    :						Union[str, Any]="</s>"	,       _UpperCAmelCase    :						int="<unk>"	,       _UpperCAmelCase    :						List[Any]="<sep>"	,       _UpperCAmelCase    :						Optional[int]="<pad>"	,       _UpperCAmelCase    :						List[str]="<cls>"	,       _UpperCAmelCase    :						Optional[int]="<mask>"	,       _UpperCAmelCase    :						List[Any]=["<eop>", "<eod>"]	,       _UpperCAmelCase    :						Optional[Dict[str, Any]] = None	,       **_UpperCAmelCase    :						Any	,       )				->		None:


             '''simple docstring'''




             UpperCAmelCase_    				=							AddedToken(__UpperCamelCase	,       lstrip=__UpperCamelCase	,       rstrip=__UpperCamelCase					) if isinstance(__UpperCamelCase	,       __UpperCamelCase					) else mask_token

             UpperCAmelCase_    				=							{} if sp_model_kwargs is None else sp_model_kwargs

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

             UpperCAmelCase_    				=							3

             UpperCAmelCase_    				=							do_lower_case
             UpperCAmelCase_    				=							remove_space
             UpperCAmelCase_    				=							keep_accents
             UpperCAmelCase_    				=							vocab_file

             UpperCAmelCase_    				=							spm.SentencePieceProcessor(**self.sp_model_kwargs					)
             self.sp_model.Load(__UpperCamelCase					)

             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."					)
             UpperCAmelCase_    				=							jieba
             UpperCAmelCase_    				=							str.maketrans(" \n"	,       "\u2582\u2583"					)



       @property
       # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
       def   lowercase__       (							self    :						Any					)				->		List[str]:


             '''simple docstring'''




             return len(self.sp_model					)



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


             '''simple docstring'''




             UpperCAmelCase_    				=							{self.convert_ids_to_tokens(__UpperCamelCase					): i for i in range(self.vocab_size					)}
             vocab.update(self.added_tokens_encoder					)
             return vocab



       def __getstate__(							self    :						Optional[int]					)				->		Union[str, Any]:


             '''simple docstring'''




             UpperCAmelCase_    				=							self.__dict__.copy()
             UpperCAmelCase_    				=							None
             return state



       def __setstate__(							self    :						Optional[Any]	,       _UpperCAmelCase    :						Union[str, Any]					)				->		Any:


             '''simple docstring'''




             UpperCAmelCase_    				=							d

             # for backward compatibility
             if not hasattr(self	,       "sp_model_kwargs"					):
                   UpperCAmelCase_    				=							{}

             UpperCAmelCase_    				=							spm.SentencePieceProcessor(**self.sp_model_kwargs					)
             self.sp_model.Load(self.vocab_file					)



       def   lowercase__       (							self    :						Optional[Any]	,       _UpperCAmelCase    :						List[str]					)				->		int:


             '''simple docstring'''




             if self.remove_space:
                   UpperCAmelCase_    				=							" ".join(inputs.strip().split()					)
             else:
                   UpperCAmelCase_    				=							inputs
             UpperCAmelCase_    				=							outputs.replace("``"	,       "\""					).replace("''"	,       "\""					)

             if not self.keep_accents:
                   UpperCAmelCase_    				=							unicodedata.normalize("NFKD"	,       __UpperCamelCase					)
                   UpperCAmelCase_    				=							"".join([c for c in outputs if not unicodedata.combining(__UpperCamelCase					)]					)
             if self.do_lower_case:
                   UpperCAmelCase_    				=							outputs.lower()

             return outputs



       def   lowercase__       (							self    :						Union[str, Any]	,       _UpperCAmelCase    :						str					)				->		List[str]:


             '''simple docstring'''




             UpperCAmelCase_    				=							self.preprocess_text(__UpperCamelCase					)
             UpperCAmelCase_    				=							self.sp_model.encode(__UpperCamelCase	,       out_type=__UpperCamelCase					)
             UpperCAmelCase_    				=							[]
             for piece in pieces:
                   if len(__UpperCamelCase					) > 1 and piece[-1] == str(","					) and piece[-2].isdigit():
                         UpperCAmelCase_    				=							self.sp_model.EncodeAsPieces(piece[:-1].replace(__UpperCamelCase	,       ""					)					)
                         if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                               if len(cur_pieces[0]					) == 1:
                                     UpperCAmelCase_    				=							cur_pieces[1:]
                               else:
                                     UpperCAmelCase_    				=							cur_pieces[0][1:]
                         cur_pieces.append(piece[-1]					)
                         new_pieces.extend(__UpperCamelCase					)
                   else:
                         new_pieces.append(__UpperCamelCase					)

             return new_pieces



       def   lowercase__       (							self    :						int	,       _UpperCAmelCase    :						str					)				->		str:


             '''simple docstring'''




             return self.sp_model.PieceToId(__UpperCamelCase					)



       def   lowercase__       (							self    :						str	,       _UpperCAmelCase    :						Optional[int]					)				->		Optional[Any]:


             '''simple docstring'''




             return self.sp_model.IdToPiece(__UpperCamelCase					)



       def   lowercase__       (							self    :						Tuple	,       _UpperCAmelCase    :						Union[str, Any]					)				->		Any:


             '''simple docstring'''




             UpperCAmelCase_    				=							"".join(__UpperCamelCase					).replace(__UpperCamelCase	,       " "					).strip()
             return out_string



       def   lowercase__       (							self    :						int	,       _UpperCAmelCase    :						List[int]	,       _UpperCAmelCase    :						Optional[List[int]] = None					)				->		List[int]:


             '''simple docstring'''




             UpperCAmelCase_    				=							[self.sep_token_id]
             UpperCAmelCase_    				=							[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   lowercase__       (							self    :						Optional[Any]	,       _UpperCAmelCase    :						List[int]	,       _UpperCAmelCase    :						Optional[List[int]] = None	,       _UpperCAmelCase    :						bool = False					)				->		List[int]:


             '''simple docstring'''




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

             if token_ids_a is not None:
                   return ([0] * len(__UpperCamelCase					)) + [1] + ([0] * len(__UpperCamelCase					)) + [1, 1]
             return ([0] * len(__UpperCamelCase					)) + [1, 1]



       def   lowercase__       (							self    :						Any	,       _UpperCAmelCase    :						List[int]	,       _UpperCAmelCase    :						Optional[List[int]] = None					)				->		List[int]:


             '''simple docstring'''




             UpperCAmelCase_    				=							[self.sep_token_id]
             UpperCAmelCase_    				=							[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   lowercase__       (							self    :						Optional[int]	,       _UpperCAmelCase    :						str	,       _UpperCAmelCase    :						Optional[str] = None					)				->		Tuple[str]:


             '''simple docstring'''




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

             if os.path.abspath(self.vocab_file					) != os.path.abspath(__UpperCamelCase					) and os.path.isfile(self.vocab_file					):
                   copyfile(self.vocab_file	,       __UpperCamelCase					)
             elif not os.path.isfile(self.vocab_file					):
                   with open(__UpperCamelCase	,       "wb"					) as fi:
                         UpperCAmelCase_    				=							self.sp_model.serialized_model_proto()
                         fi.write(__UpperCamelCase					)

             return (out_vocab_file,)







       def   lowercase__       (							self    :						Union[str, Any]	,       *_UpperCAmelCase    :						int	,       **_UpperCAmelCase    :						Optional[int]					)				->		Optional[int]:


             '''simple docstring'''




             UpperCAmelCase_    				=							super()._decode(*__UpperCamelCase	,       **__UpperCamelCase					)
             UpperCAmelCase_    				=							text.replace(" "	,       ""					).replace("\u2582"	,       " "					).replace("\u2583"	,       "\n"					)
             return text









"""simple docstring"""





from heapq import heappop, heappush

import numpy as np
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__			,    ):
      UpperCAmelCase_				,					UpperCAmelCase_    				=							grid.shape
      UpperCAmelCase_    				=							[-1, 1, 0, 0]
      UpperCAmelCase_    				=							[0, 0, -1, 1]
      if allow_diagonal:
            dx += [-1, -1, 1, 1]
            dy += [-1, 1, -1, 1]

      UpperCAmelCase_				,					UpperCAmelCase_    				=							[(0, source)], set()
      UpperCAmelCase_    				=							np.full((rows, cols)			,    np.inf   )
      UpperCAmelCase_    				=							0
      UpperCAmelCase_    				=							np.empty((rows, cols)			,    dtype=lowerCAmelCase__   )
      UpperCAmelCase_    				=							None

      while queue:
            ((UpperCAmelCase_)				,					(UpperCAmelCase_))    				=							heappop(lowerCAmelCase__   )
            if (x, y) in visited:
                  continue
            visited.add((x, y)   )

            if (x, y) == destination:
                  UpperCAmelCase_    				=							[]
                  while (x, y) != source:
                        path.append((x, y)   )
                        UpperCAmelCase_				,					UpperCAmelCase_    				=							predecessors[x, y]
                  path.append(lowerCAmelCase__   )  # add the source manually
                  path.reverse()
                  return matrix[destination], path

            for i in range(len(lowerCAmelCase__   )   ):
                  UpperCAmelCase_				,					UpperCAmelCase_    				=							x + dx[i], y + dy[i]
                  if 0 <= nx < rows and 0 <= ny < cols:
                        UpperCAmelCase_    				=							grid[nx][ny]
                        if next_node == 1 and matrix[nx, ny] > dist + 1:
                              heappush(lowerCAmelCase__			,    (dist + 1, (nx, ny))   )
                              UpperCAmelCase_    				=							dist + 1
                              UpperCAmelCase_    				=							(x, y)

      return np.inf, []


if __name__ == "__main__":
  import doctest

  doctest.testmod()




