






"""simple docstring"""





def   a    (     __UpperCAmelCase      :    str      ,   __UpperCAmelCase      :    int  )    ->							list:
						__magic_name__:	List[str]							=       word.split()

						def justify(__UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    int  ) -> str:
												__magic_name__:	Dict							=       max_width - width
												__magic_name__:	Dict							=       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:
																		__magic_name__:	List[Any]							=       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]
																		__magic_name__:	Tuple							=       spaces_to_insert_between_words * [
																		    overall_spaces_count // spaces_to_insert_between_words
																		]
																		__magic_name__:	List[Any]							=       (
																		    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
																		__magic_name__:	Dict							=       []
																		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  )

						__magic_name__:	Any							=       []
						__magic_name__:	list[str]							=       []
						__magic_name__:	List[str]							=       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
																		__magic_name__,			__magic_name__:	List[Any]							=       [word], len(__UpperCAmelCase  )
						__magic_name__:	Dict							=       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


lowerCamelCase  =logging.get_logger(__name__)

lowerCamelCase  ={
    "abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json",
}




class 					_lowerCamelCase			(   UpperCamelCase_			):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		 =	'''gpt_neox_japanese'''






     def __init__(				self    ,    __SCREAMING_SNAKE_CASE=3_2_0_0_0    ,    __SCREAMING_SNAKE_CASE=2_5_6_0    ,    __SCREAMING_SNAKE_CASE=3_2    ,    __SCREAMING_SNAKE_CASE=3_2    ,    __SCREAMING_SNAKE_CASE=4    ,    __SCREAMING_SNAKE_CASE="gelu"    ,    __SCREAMING_SNAKE_CASE=1.00    ,    __SCREAMING_SNAKE_CASE=1_0_0_0_0    ,    __SCREAMING_SNAKE_CASE=2_0_4_8    ,    __SCREAMING_SNAKE_CASE=0.02    ,    __SCREAMING_SNAKE_CASE=1e-5    ,    __SCREAMING_SNAKE_CASE=True    ,    __SCREAMING_SNAKE_CASE=3_1_9_9_6    ,    __SCREAMING_SNAKE_CASE=3_1_9_9_9    ,    __SCREAMING_SNAKE_CASE=0.1    ,    __SCREAMING_SNAKE_CASE=0.0    ,    **__SCREAMING_SNAKE_CASE    ,    )	-> List[str]:




           """simple docstring"""







           super().__init__(bos_token_id=__SCREAMING_SNAKE_CASE    ,    eos_token_id=__SCREAMING_SNAKE_CASE    ,    **__SCREAMING_SNAKE_CASE	)
           UpperCamelCase__     : List[str]											=					vocab_size
           UpperCamelCase__     : int											=					max_position_embeddings
           UpperCamelCase__     : Union[str, Any]											=					hidden_size
           UpperCamelCase__     : Any											=					num_hidden_layers
           UpperCamelCase__     : List[Any]											=					num_attention_heads
           UpperCamelCase__     : int											=					intermediate_multiple_size
           UpperCamelCase__     : List[Any]											=					hidden_act
           UpperCamelCase__     : Tuple											=					rotary_pct
           UpperCamelCase__     : Optional[int]											=					rotary_emb_base
           UpperCamelCase__     : Optional[Any]											=					initializer_range
           UpperCamelCase__     : Optional[int]											=					layer_norm_eps
           UpperCamelCase__     : Optional[Any]											=					use_cache
           UpperCamelCase__     : List[str]											=					attention_dropout
           UpperCamelCase__     : Optional[int]											=					hidden_dropout


