


from __future__ import annotations

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


def        _UpperCamelCase							(      ):
						__SCREAMING_SNAKE_CASE						:     List[Any]					=		[randint(-1000    ,       1000      ) for i in range(10      )]
						__SCREAMING_SNAKE_CASE						:     Tuple					=		randint(-5000    ,       5000      )
						return (arr, r)


__lowerCAmelCase	: List[Any]  				=make_dataset()


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


def        _UpperCamelCase							(      lowercase__    ,       lowercase__      ):
						arr.sort()
						__SCREAMING_SNAKE_CASE						:     Any					=		len(lowercase__      )
						for i in range(n - 1      ):
												__SCREAMING_SNAKE_CASE			,			__SCREAMING_SNAKE_CASE						:     Tuple					=		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        _UpperCamelCase							(      ):
						__SCREAMING_SNAKE_CASE						:     Optional[int]					=		'''
from __main__ import dataset, triplet_sum1, triplet_sum2
'''
						__SCREAMING_SNAKE_CASE						:     List[str]					=		'''
triplet_sum1(*dataset)
'''
						__SCREAMING_SNAKE_CASE						:     Any					=		'''
triplet_sum2(*dataset)
'''
						__SCREAMING_SNAKE_CASE						:     Any					=		repeat(setup=lowercase__    ,       stmt=lowercase__    ,       repeat=5    ,       number=10000      )
						__SCREAMING_SNAKE_CASE						:     List[str]					=		repeat(setup=lowercase__    ,       stmt=lowercase__    ,       repeat=5    ,       number=10000      )
						return (min(lowercase__      ), min(lowercase__      ))


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

						testmod()
						__lowerCAmelCase	: List[Any]  				=solution_times()
						print(f"""The time for naive implementation is {times[0]}.""")
						print(f"""The time for optimized implementation is {times[1]}.""")






"""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,)



