



def 		a__      (		_UpperCamelCase      :			str			,_UpperCamelCase      :			int				):
   __lowerCamelCase    				=     word.split()

   def justify(_UpperCamelCase      :			list			,_UpperCamelCase      :			int			,_UpperCamelCase      :			int				) -> str:
      __lowerCamelCase    				=     max_width - width
      __lowerCamelCase    				=     len(_UpperCamelCase				)
      if len(_UpperCamelCase				) == 1:
         # if there is only word in line
         # just insert overall_spaces_count for the remainder of line
         return line[0] + " " * overall_spaces_count
      else:
         __lowerCamelCase    				=     words_count - 1
         # num_spaces_between_words_list[i] : tells you to insert
         # num_spaces_between_words_list[i] spaces
         # after word on line[i]
         __lowerCamelCase    				=     spaces_to_insert_between_words * [
             overall_spaces_count // spaces_to_insert_between_words
         ]
         __lowerCamelCase    				=     (
             overall_spaces_count % spaces_to_insert_between_words
         )
         # distribute spaces via round robin to the left words
         for i in range(_UpperCamelCase				):
            num_spaces_between_words_list[i] += 1
         __lowerCamelCase    				=     []
         for i in range(_UpperCamelCase				):
            # add the word
            aligned_words_list.append(line[i]				)
            # add the spaces to insert
            aligned_words_list.append(num_spaces_between_words_list[i] * ''' '''				)
         # just add the last word to the sentence
         aligned_words_list.append(line[-1]				)
         # join the aligned words list to form a justified line
         return "".join(_UpperCamelCase				)

   __lowerCamelCase    				=     []
   __lowerCamelCase    				=     []
   __lowerCamelCase    				=     0
   for word in words:
      if width + len(_UpperCamelCase				) + len(_UpperCamelCase				) <= max_width:
         # keep adding words until we can fill out max_width
         # width = sum of length of all words (without overall_spaces_count)
         # len(word) = length of current word
         # len(line) = number of overall_spaces_count to insert between words
         line.append(_UpperCamelCase				)
         width += len(_UpperCamelCase				)
      else:
         # justify the line and add it to result
         answer.append(justify(_UpperCamelCase			,_UpperCamelCase			,_UpperCamelCase				)				)
         # reset new line and new width
         __lowerCamelCase				,__lowerCamelCase    				=     [word], len(_UpperCamelCase				)
   __lowerCamelCase    				=     max_width - width - len(_UpperCamelCase				)
   answer.append(''' '''.join(_UpperCamelCase				) + (remaining_spaces + 1) * ''' '''				)
   return answer


if __name__ == "__main__":
  from doctest import testmod

  testmod()











from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_								=       logging.get_logger(__name__)

a_								=       {
    """google/canine-s""": """https://huggingface.co/google/canine-s/resolve/main/config.json""",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}



class 			__lowerCAmelCase  (						lowerCAmelCase__ ):
 lowerCAmelCase__							       =	"""canine"""




 def __init__(    self						,					__UpperCAmelCase=768						,					__UpperCAmelCase=12						,					__UpperCAmelCase=12						,					__UpperCAmelCase=3072						,					__UpperCAmelCase="gelu"						,					__UpperCAmelCase=0.1						,					__UpperCAmelCase=0.1						,					__UpperCAmelCase=16384						,					__UpperCAmelCase=16						,					__UpperCAmelCase=0.02						,					__UpperCAmelCase=1E-1_2						,					__UpperCAmelCase=0						,					__UpperCAmelCase=0Xe_000						,					__UpperCAmelCase=0Xe_001						,					__UpperCAmelCase=4						,					__UpperCAmelCase=4						,					__UpperCAmelCase=8						,					__UpperCAmelCase=16384						,					__UpperCAmelCase=128						,					**__UpperCAmelCase						,					):



    '''simple docstring'''
    super().__init__(pad_token_id=__UpperCAmelCase						,					bos_token_id=__UpperCAmelCase						,					eos_token_id=__UpperCAmelCase						,					**__UpperCAmelCase					)

    __lowerCamelCase    				=     max_position_embeddings
    __lowerCamelCase    				=     hidden_size
    __lowerCamelCase    				=     num_hidden_layers
    __lowerCamelCase    				=     num_attention_heads
    __lowerCamelCase    				=     intermediate_size
    __lowerCamelCase    				=     hidden_act
    __lowerCamelCase    				=     hidden_dropout_prob
    __lowerCamelCase    				=     attention_probs_dropout_prob
    __lowerCamelCase    				=     initializer_range
    __lowerCamelCase    				=     type_vocab_size
    __lowerCamelCase    				=     layer_norm_eps

    # Character config:
    __lowerCamelCase    				=     downsampling_rate
    __lowerCamelCase    				=     upsampling_kernel_size
    __lowerCamelCase    				=     num_hash_functions
    __lowerCamelCase    				=     num_hash_buckets
    __lowerCamelCase    				=     local_transformer_stride






