



'''simple docstring'''





from heapq import heappop, heappush

import numpy as np




def 							lowerCamelCase	(					_snake_case	:    np.ndarray  ,_snake_case	:    tuple[int, int]  ,_snake_case	:    tuple[int, int]  ,_snake_case	:    bool  ,):





    '''simple docstring'''


    lowercase__							,							lowercase__									=    grid.shape
    lowercase__									=    [-1, 1, 0, 0]
    lowercase__									=    [0, 0, -1, 1]
    if allow_diagonal:
        dx += [-1, -1, 1, 1]
        dy += [-1, 1, -1, 1]

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

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

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

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

    return np.inf, []


if __name__ == "__main__":
 import doctest

 doctest.testmod()









'''simple docstring'''





import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing


class 					snake_case			(UpperCamelCase ):



       def __init__(					self  ,UpperCAmelCase_ = "▁"  ,UpperCAmelCase_ = True  ,UpperCAmelCase_ = "<unk>"  ,UpperCAmelCase_ = "</s>"  ,UpperCAmelCase_ = "<pad>"  ,)	->				Optional[int]:
           lowercase__									=    {
               "pad": {"id": 0, "token": pad_token},
               "eos": {"id": 1, "token": eos_token},
               "unk": {"id": 2, "token": unk_token},
           }

           lowercase__									=    [None] * len(self.special_tokens   )
           for token_dict in self.special_tokens.values():
               lowercase__									=    token_dict["token"]

           lowercase__									=    Tokenizer(Unigram()   )

           lowercase__									=    normalizers.Sequence(
               [
                   normalizers.Nmt(),
                   normalizers.NFKC(),
                   normalizers.Replace(Regex(" {2,}"   )  ," "   ),
                   normalizers.Lowercase(),
               ]   )
           lowercase__									=    pre_tokenizers.Sequence(
               [
                   pre_tokenizers.Metaspace(replacement=UpperCAmelCase_  ,add_prefix_space=UpperCAmelCase_   ),
                   pre_tokenizers.Digits(individual_digits=UpperCAmelCase_   ),
                   pre_tokenizers.Punctuation(),
               ]   )
           lowercase__									=    decoders.Metaspace(replacement=UpperCAmelCase_  ,add_prefix_space=UpperCAmelCase_   )

           lowercase__									=    TemplateProcessing(
               single=F'''$A {self.special_tokens['eos']['token']}'''  ,special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]  ,)

           lowercase__									=    {
               "model": "SentencePieceUnigram",
               "replacement": replacement,
               "add_prefix_space": add_prefix_space,
           }

           super().__init__(UpperCAmelCase_  ,UpperCAmelCase_   )



       def 				_a   (					self  ,UpperCAmelCase_  ,UpperCAmelCase_ = 8_000  ,UpperCAmelCase_ = True  ,)	->				List[str]:
           lowercase__									=    trainers.UnigramTrainer(
               vocab_size=UpperCAmelCase_  ,special_tokens=self.special_tokens_list  ,show_progress=UpperCAmelCase_  ,)

           if isinstance(UpperCAmelCase_  ,UpperCAmelCase_   ):
               lowercase__									=    [files]
           self._tokenizer.train(UpperCAmelCase_  ,trainer=UpperCAmelCase_   )

           self.add_unk_id()



       def 				_a   (					self  ,UpperCAmelCase_  ,UpperCAmelCase_ = 8_000  ,UpperCAmelCase_ = True  ,)	->				Union[str, Any]:
           lowercase__									=    trainers.UnigramTrainer(
               vocab_size=UpperCAmelCase_  ,special_tokens=self.special_tokens_list  ,show_progress=UpperCAmelCase_  ,)

           self._tokenizer.train_from_iterator(UpperCAmelCase_  ,trainer=UpperCAmelCase_   )

           self.add_unk_id()







       def 				_a   (					self   )	->				str:
           lowercase__									=    json.loads(self._tokenizer.to_str()   )

           lowercase__									=    self.special_tokens["unk"]["id"]

           lowercase__									=    Tokenizer.from_str(json.dumps(UpperCAmelCase_   )   )




