


'''simple docstring'''







from __future__ import annotations


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	tuple[int, int]    ,_UpperCAmelCase	:	int  )  ->			Union[str, Any]:
       _a    : Tuple     					=position
       _a    : str     					=[
           (y + 1, x + 2),
           (y - 1, x + 2),
           (y + 1, x - 2),
           (y - 1, x - 2),
           (y + 2, x + 1),
           (y + 2, x - 1),
           (y - 2, x + 1),
           (y - 2, x - 1),
       ]
       _a    : Optional[Any]     					=[]

       for position in positions:
              _a    : Tuple     					=position
              if 0 <= y_test < n and 0 <= x_test < n:
                     permissible_positions.append(__snake_case  )

       return permissible_positions


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	list[list[int]]  )  ->			Optional[Any]:
       return not any(elem == 0 for row in board for elem in row  )


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	list[list[int]]    ,_UpperCAmelCase	:	tuple[int, int]    ,_UpperCAmelCase	:	int  )  ->			Tuple:


       if is_complete(__snake_case  ):
              return True

       for position in get_valid_pos(__snake_case    ,len(__snake_case  )  ):
              _a    : Any     					=position

              if board[y][x] == 0:
                     _a    : Optional[Any]     					=curr + 1
                     if open_knight_tour_helper(__snake_case    ,__snake_case    ,curr + 1  ):
                            return True
                     _a    : List[Any]     					=0

       return False


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int  )  ->			Dict:
       _a    : str     					=[[0 for i in range(__snake_case  )] for j in range(__snake_case  )]

       for i in range(__snake_case  ):
              for j in range(__snake_case  ):
                     _a    : Optional[Any]     					=1
                     if open_knight_tour_helper(__snake_case    ,(i, j)    ,1  ):
                            return board
                     _a    : List[Any]     					=0

       _a    : List[str]     					=F"Open Kight Tour cannot be performed on a board of size {n}"
       raise ValueError(__snake_case  )


if __name__ == "__main__":
   import doctest

   doctest.testmod()










import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


__UpperCAmelCase								=						logging.get_logger(__name__)

__UpperCAmelCase								=						{'vocab_file': 'vocab.txt'}

__UpperCAmelCase								=						{
    'vocab_file': {
        'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt',
        'YituTech/conv-bert-medium-small': (
            'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt'
        ),
        'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt',
    }
}

__UpperCAmelCase								=						{
    'YituTech/conv-bert-base': 512,
    'YituTech/conv-bert-medium-small': 512,
    'YituTech/conv-bert-small': 512,
}


__UpperCAmelCase								=						{
    'YituTech/conv-bert-base': {'do_lower_case': True},
    'YituTech/conv-bert-medium-small': {'do_lower_case': True},
    'YituTech/conv-bert-small': {'do_lower_case': True},
}



class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		_snake_case    :    Optional[int]       						=  VOCAB_FILES_NAMES
		_snake_case    :    int       						=  PRETRAINED_VOCAB_FILES_MAP
		_snake_case    :    Dict       						=  PRETRAINED_INIT_CONFIGURATION
		_snake_case    :    List[str]       						=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_snake_case    :    Any       						=  ConvBertTokenizer



		def __init__(							self				,		_UpperCamelCase=None				,		_UpperCamelCase=None				,		_UpperCamelCase=True				,		_UpperCamelCase="[UNK]"				,		_UpperCamelCase="[SEP]"				,		_UpperCamelCase="[PAD]"				,		_UpperCamelCase="[CLS]"				,		_UpperCamelCase="[MASK]"				,		_UpperCamelCase=True				,		_UpperCamelCase=None				,		**_UpperCamelCase				,		)	->							Dict:
							super().__init__(
							    _UpperCamelCase				,		tokenizer_file=_UpperCamelCase				,		do_lower_case=_UpperCamelCase				,		unk_token=_UpperCamelCase				,		sep_token=_UpperCamelCase				,		pad_token=_UpperCamelCase				,		cls_token=_UpperCamelCase				,		mask_token=_UpperCamelCase				,		tokenize_chinese_chars=_UpperCamelCase				,		strip_accents=_UpperCamelCase				,		**_UpperCamelCase				,		)

							UpperCAmelCase_    :      Optional[int]            =						json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
							if (
							    normalizer_state.get('lowercase'				,		_UpperCamelCase   ) != do_lower_case
							    or normalizer_state.get('strip_accents'				,		_UpperCamelCase   ) != strip_accents
							    or normalizer_state.get('handle_chinese_chars'				,		_UpperCamelCase   ) != tokenize_chinese_chars
							):
												UpperCAmelCase_    :      Any            =						getattr(_UpperCamelCase				,		normalizer_state.pop('type'   )   )
												UpperCAmelCase_    :      str            =						do_lower_case
												UpperCAmelCase_    :      List[Any]            =						strip_accents
												UpperCAmelCase_    :      str            =						tokenize_chinese_chars
												UpperCAmelCase_    :      Tuple            =						normalizer_class(**_UpperCamelCase   )

							UpperCAmelCase_    :      Any            =						do_lower_case



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase=None   )	->							List[str]:
							UpperCAmelCase_    :      int            =						[self.cls_token_id] + token_ids_a + [self.sep_token_id]

							if token_ids_a:
												output += token_ids_a + [self.sep_token_id]

							return output



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None   )	->							List[int]:
							UpperCAmelCase_    :      Union[str, Any]            =						[self.sep_token_id]
							UpperCAmelCase_    :      int            =						[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   ) * [0] + len(token_ids_a + sep   ) * [1]



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None   )	->							Tuple[str]:
							UpperCAmelCase_    :      Any            =						self._tokenizer.model.save(_UpperCamelCase				,		name=_UpperCamelCase   )
							return tuple(_UpperCamelCase   )






