





'''simple docstring'''
def 				lowercase__   (   __lowercase						:  str				,  __lowercase						:  int     ) ->      list:



       """simple docstring"""






       __UpperCamelCase       =  word.split()

       def justify(__lowercase						:  list				,  __lowercase						:  int				,  __lowercase						:  int     ) -> str:
              __UpperCamelCase       =  max_width - width
              __UpperCamelCase       =  len(__lowercase     )
              if len(__lowercase     ) == 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:
                     __UpperCamelCase       =  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]
                     __UpperCamelCase       =  spaces_to_insert_between_words * [
                         overall_spaces_count // spaces_to_insert_between_words
                     ]
                     __UpperCamelCase       =  (
                         overall_spaces_count % spaces_to_insert_between_words
                     )
                     # distribute spaces via round robin to the left words
                     for i in range(__lowercase     ):
                            num_spaces_between_words_list[i] += 1
                     __UpperCamelCase       =  []
                     for i in range(__lowercase     ):
                            # 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(__lowercase     )

       __UpperCamelCase       =  []
       __UpperCamelCase       =  []
       __UpperCamelCase       =  0
       for word in words:
              if width + len(__lowercase     ) + len(__lowercase     ) <= 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(__lowercase     )
                     width += len(__lowercase     )
              else:
                     # justify the line and add it to result
                     answer.append(justify(__lowercase				,  __lowercase				,  __lowercase     )     )
                     # reset new line and new width
                     __UpperCamelCase       ,						__UpperCamelCase       =  [word], len(__lowercase     )
       __UpperCamelCase       =  max_width - width - len(__lowercase     )
       answer.append(' '.join(__lowercase     ) + (remaining_spaces + 1) * ' '     )
       return answer


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

    testmod()






"""simple docstring"""




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

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


if is_sentencepiece_available():
					from .tokenization_xlnet import XLNetTokenizer
else:
					lowerCAmelCase							:			int     							=							None


lowerCAmelCase							:			Tuple     							=							logging.get_logger(__name__)

lowerCAmelCase							:			Tuple     							=							{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase							:			Union[str, Any]     							=							{
    """vocab_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """xlnet-base-cased""": """https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json""",
        """xlnet-large-cased""": """https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json""",
    },
}

lowerCAmelCase							:			Optional[int]     							=							{
    """xlnet-base-cased""": None,
    """xlnet-large-cased""": None,
}

lowerCAmelCase							:			Union[str, Any]     							=							"""▁"""

# Segments (not really needed)
lowerCAmelCase							:			str     							=							0
lowerCAmelCase							:			Optional[int]     							=							1
lowerCAmelCase							:			Tuple     							=							2
lowerCAmelCase							:			Optional[Any]     							=							3
lowerCAmelCase							:			List[Any]     							=							4






class     __magic_name__							(       UpperCAmelCase__				):






				'''simple docstring'''
				__UpperCamelCase			  =						VOCAB_FILES_NAMES
				__UpperCamelCase			  =						PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase			  =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase			  =						"left"
				__UpperCamelCase			  =						XLNetTokenizer





				def __init__(       self		, _a=None		, _a=None		, _a=False		, _a=True		, _a=False		, _a="<s>"		, _a="</s>"		, _a="<unk>"		, _a="<sep>"		, _a="<pad>"		, _a="<cls>"		, _a="<mask>"		, _a=["<eop>", "<eod>"]		, **_a		, ):





							"""simple docstring"""
							# Mask token behave like a normal word, i.e. include the space before it
							lowerCamelCase			      =					AddedToken(_a		, lstrip=_a		, rstrip=_a ) if isinstance(_a		, _a ) else mask_token

							super().__init__(
							    vocab_file=_a		, tokenizer_file=_a		, do_lower_case=_a		, remove_space=_a		, keep_accents=_a		, bos_token=_a		, eos_token=_a		, unk_token=_a		, sep_token=_a		, pad_token=_a		, cls_token=_a		, mask_token=_a		, additional_special_tokens=_a		, **_a		, )

							lowerCamelCase			      =					3
							lowerCamelCase			      =					do_lower_case
							lowerCamelCase			      =					remove_space
							lowerCamelCase			      =					keep_accents
							lowerCamelCase			      =					vocab_file
							lowerCamelCase			      =					False if not self.vocab_file else True





				def    _lowerCAmelCase				(       self		, _a		, _a = None ):





							"""simple docstring"""
							lowerCamelCase			      =					[self.sep_token_id]
							lowerCamelCase			      =					[self.cls_token_id]
							if token_ids_a is None:
										return token_ids_a + sep + cls
							return token_ids_a + sep + token_ids_a + sep + cls





				def    _lowerCAmelCase				(       self		, _a		, _a = None ):





							"""simple docstring"""
							lowerCamelCase			      =					[self.sep_token_id]
							lowerCamelCase			      =					[2]

							if token_ids_a is None:
										return len(token_ids_a + sep ) * [0] + cls_segment_id
							return len(token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1] + cls_segment_id





				def    _lowerCAmelCase				(       self		, _a		, _a = 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(_a ):
										logger.error(f'Vocabulary path ({save_directory}) should be a directory' )
										return
							lowerCamelCase			      =					os.path.join(
							    _a		, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )

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

							return (out_vocab_file,)



