




"""simple docstring"""

import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		_lowerCamelCase	:      List[str]   =							None


_lowerCamelCase	:      Optional[Any]   =							logging.get_logger(__name__)


_lowerCamelCase	:      str   =							'▁'

_lowerCamelCase	:      Optional[int]   =							{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

_lowerCamelCase	:      Dict   =							{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

_lowerCamelCase	:      Optional[Any]   =							{
    'google/reformer-crime-and-punishment': 524288,
}

class 							lowercase   (     lowerCAmelCase_):
				__lowerCAmelCase     :     Dict								= VOCAB_FILES_NAMES
				__lowerCAmelCase     :     Tuple								= PRETRAINED_VOCAB_FILES_MAP
				__lowerCAmelCase     :     Union[str, Any]								= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__lowerCAmelCase     :     Union[str, Any]								= ['input_ids', 'attention_mask']
				__lowerCAmelCase     :     str								= ReformerTokenizer







				def __init__(				self :       List[str]   ,  _lowerCamelCase :       int=None   ,  _lowerCamelCase :       Optional[int]=None   ,  _lowerCamelCase :       int="</s>"   ,  _lowerCamelCase :       Optional[int]="<unk>"   ,  _lowerCamelCase :       List[str]=[]   ,  **_lowerCamelCase :       List[str]   ,  ):



					"""simple docstring"""

					super().__init__(
					    lowerCamelCase_   ,  tokenizer_file=lowerCamelCase_   ,  eos_token=lowerCamelCase_   ,  unk_token=lowerCamelCase_   ,  additional_special_tokens=lowerCamelCase_   ,  **lowerCamelCase_   ,  )

					A_	:					Any						 =		vocab_file
					A_	:					Tuple						 =		False if not self.vocab_file else True







				def        a_	(				self :       Union[str, Any]   ,  _lowerCamelCase :       Optional[int]   ,  _lowerCamelCase :       Union[str, Any] = None							):



					"""simple docstring"""

					if not self.can_save_slow_tokenizer:
						raise ValueError(
						    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
						    '''tokenizer.'''							)

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

					if os.path.abspath(self.vocab_file							) != os.path.abspath(lowerCamelCase_							):
						copyfile(self.vocab_file   ,  lowerCamelCase_							)

					return (out_vocab_file,)







"""simple docstring"""







def       __UpperCAmelCase		(		a_      :		list[list[int]]					)  ->							bool:
   # must be
   _UpperCAmelCase 						=       [list(a_					) for row in matrix]
   if matrix and isinstance(a_     ,	a_					):
      if isinstance(matrix[0]     ,	a_					):
         _UpperCAmelCase 						=       0
         for row in matrix:
            if prev_len == 0:
               _UpperCAmelCase 						=       len(a_					)
               _UpperCAmelCase 						=       True
            else:
               _UpperCAmelCase 						=       prev_len == len(a_					)
      else:
         _UpperCAmelCase 						=       True
   else:
      _UpperCAmelCase 						=       False

   return result
def       __UpperCAmelCase		(		a_      :		list[list[int]]					)  ->							None:
   if check_matrix(a_					) and len(a_					) > 0:
      _UpperCAmelCase 						=       [list(a_					) for row in a]
      _UpperCAmelCase 						=       len(a_					)
      if isinstance(a[0]     ,	a_					):
         _UpperCAmelCase 						=       len(a[0]					)
      else:
         for dat in a:
            print(a_					)
         return

      # horizotal printing increasing
      for i in range(0     ,	a_					):
         print(a[0][i]					)
      # vertical printing down
      for i in range(1     ,	a_					):
         print(a[i][mat_col - 1]					)
      # horizotal printing decreasing
      if mat_row > 1:
         for i in range(mat_col - 2     ,	-1     ,	-1					):
            print(a[mat_row - 1][i]					)
        # vertical printing up
      for i in range(mat_row - 2     ,	0     ,	-1					):
         print(a[i][0]					)
      _UpperCAmelCase 						=       [row[1 : mat_col - 1] for row in a[1 : mat_row - 1]]
      if len(a_					) > 0:
         spiral_print_clockwise(a_					)
      else:
         return
   else:
      print("Not a valid matrix"					)
      return
def       __UpperCAmelCase		(		a_      :		list[list]					)  ->							list[int]:
   if matrix:
      return list(matrix.pop(0					)					) + spiral_traversal(list(zip(*a_					)					)[::-1]					)
   else:
      return []


# driver code
if __name__ == "__main__":
  import doctest

  doctest.testmod()

  SCREAMING_SNAKE_CASE_  					= [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]]
  spiral_print_clockwise(a)

