



"""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__      =    None


lowerCAmelCase__      =    logging.get_logger(__name__)

lowerCAmelCase__      =    {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase__      =    {
    '''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__      =    {
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

lowerCAmelCase__      =    '''▁'''

# Segments (not really needed)
lowerCAmelCase__      =    0
lowerCAmelCase__      =    1
lowerCAmelCase__      =    2
lowerCAmelCase__      =    3
lowerCAmelCase__      =    4






class 	__snake_case	(     _lowercase):
  snake_case__    :       Tuple        =						VOCAB_FILES_NAMES
  snake_case__    :       Union[str, Any]        =						PRETRAINED_VOCAB_FILES_MAP
  snake_case__    :       Any        =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  snake_case__    :       Union[str, Any]        =						"left"
  snake_case__    :       Any        =						XLNetTokenizer




  def __init__(			self					:						Tuple						, __lowerCAmelCase					:						str=None						, __lowerCAmelCase					:						str=None						, __lowerCAmelCase					:						List[str]=False						, __lowerCAmelCase					:						int=True						, __lowerCAmelCase					:						List[Any]=False						, __lowerCAmelCase					:						Optional[int]="<s>"						, __lowerCAmelCase					:						Tuple="</s>"						, __lowerCAmelCase					:						str="<unk>"						, __lowerCAmelCase					:						Tuple="<sep>"						, __lowerCAmelCase					:						Union[str, Any]="<pad>"						, __lowerCAmelCase					:						List[Any]="<cls>"						, __lowerCAmelCase					:						Optional[int]="<mask>"						, __lowerCAmelCase					:						Tuple=["<eop>", "<eod>"]						, **__lowerCAmelCase					:						Dict						, ):






         """simple docstring"""






         _lowerCamelCase						:    List[str]         =			AddedToken(__lowerCAmelCase						, lstrip=__lowerCAmelCase						, rstrip=__lowerCAmelCase		) if isinstance(__lowerCAmelCase						, __lowerCAmelCase		) else mask_token

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

         _lowerCamelCase						:    Optional[Any]         =			3
         _lowerCamelCase						:    Dict         =			do_lower_case
         _lowerCamelCase						:    str         =			remove_space
         _lowerCamelCase						:    str         =			keep_accents
         _lowerCamelCase						:    List[Any]         =			vocab_file
         _lowerCamelCase						:    str         =			False if not self.vocab_file else True




  def 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]						, __lowerCAmelCase					:						List[int]						, __lowerCAmelCase					:						Optional[List[int]] = None		):






         """simple docstring"""






         _lowerCamelCase						:    Tuple         =			[self.sep_token_id]
         _lowerCamelCase						:    Tuple         =			[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 						SCREAMING_SNAKE_CASE    (			self					:						Optional[int]						, __lowerCAmelCase					:						List[int]						, __lowerCAmelCase					:						Optional[List[int]] = None		):






         """simple docstring"""






         _lowerCamelCase						:    List[str]         =			[self.sep_token_id]
         _lowerCamelCase						:    Any         =			[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 						SCREAMING_SNAKE_CASE    (			self					:						Tuple						, __lowerCAmelCase					:						str						, __lowerCAmelCase					:						Optional[str] = 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
         _lowerCamelCase						:    Union[str, 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"""






from __future__ import annotations

from itertools import permutations
from random import randint
from timeit import repeat






def 	snake_case_  (				):


       '''simple docstring'''





       _lowerCamelCase						:    Optional[Any]         =			[randint(-10_00,    10_00						) for i in range(10						)]
       _lowerCamelCase						:    Tuple         =			randint(-50_00,    50_00						)
       return (arr, r)


lowerCAmelCase__      =    make_dataset()






def 	snake_case_  (				A_ :		list[int],    A_ :		int						):


       '''simple docstring'''





       for triplet in permutations(A_,    3						):
              if sum(A_						) == target:
                     return tuple(sorted(A_						)						)
       return (0, 0, 0)






def 	snake_case_  (				A_ :		list[int],    A_ :		int						):


       '''simple docstring'''





       arr.sort()
       _lowerCamelCase						:    Optional[Any]         =			len(A_						)
       for i in range(n - 1						):
              _lowerCamelCase      ,   _lowerCamelCase						:    int         =			i + 1, n - 1
              while left < right:
                     if arr[i] + arr[left] + arr[right] == target:
                            return (arr[i], arr[left], arr[right])
                     elif arr[i] + arr[left] + arr[right] < target:
                            left += 1
                     elif arr[i] + arr[left] + arr[right] > target:
                            right -= 1
       return (0, 0, 0)






def 	snake_case_  (				):


       '''simple docstring'''





       _lowerCamelCase						:    Tuple         =			'''
from __main__ import dataset, triplet_sum1, triplet_sum2
'''
       _lowerCamelCase						:    List[Any]         =			'''
triplet_sum1(*dataset)
'''
       _lowerCamelCase						:    str         =			'''
triplet_sum2(*dataset)
'''
       _lowerCamelCase						:    Optional[int]         =			repeat(setup=A_,    stmt=A_,    repeat=5,    number=1_00_00						)
       _lowerCamelCase						:    Union[str, Any]         =			repeat(setup=A_,    stmt=A_,    repeat=5,    number=1_00_00						)
       return (min(A_						), min(A_						))


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

   testmod()
   lowerCAmelCase__      =    solution_times()
   print(F"""The time for naive implementation is {times[0]}.""")
   print(F"""The time for optimized implementation is {times[1]}.""")


