
'''simple docstring'''


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

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
	from .tokenization_deberta_va import DebertaVaTokenizer
else:
	__SCREAMING_SNAKE_CASE						=      None

__SCREAMING_SNAKE_CASE						=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE						=      {"vocab_file": "spm.model", "tokenizer_file": "tokenizer.json"}

__SCREAMING_SNAKE_CASE						=      {
    "vocab_file": {
        "microsoft/deberta-v2-xlarge": "https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model",
        "microsoft/deberta-v2-xxlarge": "https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model",
        "microsoft/deberta-v2-xlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model"
        ),
        "microsoft/deberta-v2-xxlarge-mnli": (
            "https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model"
        ),
    }
}

__SCREAMING_SNAKE_CASE						=      {
    "microsoft/deberta-v2-xlarge": 512,
    "microsoft/deberta-v2-xxlarge": 512,
    "microsoft/deberta-v2-xlarge-mnli": 512,
    "microsoft/deberta-v2-xxlarge-mnli": 512,
}

__SCREAMING_SNAKE_CASE						=      {
    "microsoft/deberta-v2-xlarge": {"do_lower_case": False},
    "microsoft/deberta-v2-xxlarge": {"do_lower_case": False},
    "microsoft/deberta-v2-xlarge-mnli": {"do_lower_case": False},
    "microsoft/deberta-v2-xxlarge-mnli": {"do_lower_case": False},
}




class     __snake_case			(    _a	):
		a_          =					VOCAB_FILES_NAMES
		a_          =					PRETRAINED_VOCAB_FILES_MAP
		a_          =					PRETRAINED_INIT_CONFIGURATION
		a_          =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a_          =					DebertaVaTokenizer




		def __init__(  self					:Any			,    _SCREAMING_SNAKE_CASE					:Tuple=None			,    _SCREAMING_SNAKE_CASE					:Tuple=None			,    _SCREAMING_SNAKE_CASE					:Union[str, Any]=False			,    _SCREAMING_SNAKE_CASE					:List[str]=False			,    _SCREAMING_SNAKE_CASE					:Optional[Any]="[CLS]"			,    _SCREAMING_SNAKE_CASE					:Union[str, Any]="[SEP]"			,    _SCREAMING_SNAKE_CASE					:int="[UNK]"			,    _SCREAMING_SNAKE_CASE					:List[str]="[SEP]"			,    _SCREAMING_SNAKE_CASE					:List[Any]="[PAD]"			,    _SCREAMING_SNAKE_CASE					:List[Any]="[CLS]"			,    _SCREAMING_SNAKE_CASE					:Tuple="[MASK]"			,    **_SCREAMING_SNAKE_CASE					:List[Any]			,    )					->			None:






								'''simple docstring'''






								super().__init__(
								    _SCREAMING_SNAKE_CASE			,    tokenizer_file=_SCREAMING_SNAKE_CASE			,    do_lower_case=_SCREAMING_SNAKE_CASE			,    bos_token=_SCREAMING_SNAKE_CASE			,    eos_token=_SCREAMING_SNAKE_CASE			,    unk_token=_SCREAMING_SNAKE_CASE			,    sep_token=_SCREAMING_SNAKE_CASE			,    pad_token=_SCREAMING_SNAKE_CASE			,    cls_token=_SCREAMING_SNAKE_CASE			,    mask_token=_SCREAMING_SNAKE_CASE			,    split_by_punct=_SCREAMING_SNAKE_CASE			,    **_SCREAMING_SNAKE_CASE			,    )

								UpperCamelCase_     :	Optional[int]					     =     do_lower_case
								UpperCamelCase_     :	Union[str, Any]					     =     split_by_punct
								UpperCamelCase_     :	List[str]					     =     vocab_file
								UpperCamelCase_     :	List[Any]					     =     False if not self.vocab_file else True




		def 	_snake_case	(  self					:Tuple			,    _SCREAMING_SNAKE_CASE					:str			,    _SCREAMING_SNAKE_CASE					:int=None)					->			int:






								'''simple docstring'''






								if token_ids_a is None:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								UpperCamelCase_     :	int					     =     [self.cls_token_id]
								UpperCamelCase_     :	Optional[Any]					     =     [self.sep_token_id]
								return cls + token_ids_a + sep + token_ids_a + sep




		def 	_snake_case	(  self					:List[str]			,    _SCREAMING_SNAKE_CASE					:Optional[int]			,    _SCREAMING_SNAKE_CASE					:Union[str, Any]=None			,    _SCREAMING_SNAKE_CASE					:str=False)					->			Optional[Any]:






								'''simple docstring'''






								if already_has_special_tokens:
														return super().get_special_tokens_mask(
														    token_ids_a=_SCREAMING_SNAKE_CASE			,    token_ids_a=_SCREAMING_SNAKE_CASE			,    already_has_special_tokens=_SCREAMING_SNAKE_CASE)

								if token_ids_a is not None:
														return [1] + ([0] * len(_SCREAMING_SNAKE_CASE)) + [1] + ([0] * len(_SCREAMING_SNAKE_CASE)) + [1]
								return [1] + ([0] * len(_SCREAMING_SNAKE_CASE)) + [1]




		def 	_snake_case	(  self					:Tuple			,    _SCREAMING_SNAKE_CASE					:Tuple			,    _SCREAMING_SNAKE_CASE					:Any=None)					->			Optional[Any]:






								'''simple docstring'''






								UpperCamelCase_     :	Union[str, Any]					     =     [self.sep_token_id]
								UpperCamelCase_     :	str					     =     [self.cls_token_id]
								if token_ids_a is None:
														return len(cls + token_ids_a + sep) * [0]
								return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]





		def 	_snake_case	(  self					:List[str]			,    _SCREAMING_SNAKE_CASE					:str			,    _SCREAMING_SNAKE_CASE					:Optional[str] = None)					->			Tuple[str]:






								'''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(_SCREAMING_SNAKE_CASE):
														logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
														return
								UpperCamelCase_     :	Optional[Any]					     =     os.path.join(
								    _SCREAMING_SNAKE_CASE			,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

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

								return (out_vocab_file,)






'''simple docstring'''


import math
from collections.abc import Generator
def 					__magic_name__(       UpperCAmelCase__ :       int	):
						UpperCamelCase_     :	Generator					     =     (i for i in range(1							,				(max_n + 1)	))
						for i in (n for n in numbers if n > 1):
												for j in range(2							,				UpperCAmelCase__	):
																		if (i % j) == 0:
																								break
												else:
																		yield i
def 					__magic_name__(       UpperCAmelCase__ :       int	):
						UpperCamelCase_     :	Generator					     =     (i for i in range(1							,				(max_n + 1)	))
						for i in (n for n in numbers if n > 1):
												# only need to check for factors up to sqrt(i)
												UpperCamelCase_     :	List[Any]					     =     int(math.sqrt(UpperCAmelCase__	)	) + 1
												for j in range(2							,				UpperCAmelCase__	):
																		if (i % j) == 0:
																								break
												else:
																		yield i
def 					__magic_name__(       UpperCAmelCase__ :       int	):
						UpperCamelCase_     :	Generator					     =     (i for i in range(1							,				(max_n + 1)							,				2	))
						# It's useless to test even numbers as they will not be prime
						if max_n > 2:
												yield 2  # Because 2 will not be tested, it's necessary to yield it now
						for i in (n for n in numbers if n > 1):
												UpperCamelCase_     :	Optional[int]					     =     int(math.sqrt(UpperCAmelCase__	)	) + 1
												for j in range(3							,				UpperCAmelCase__							,				2	):
																		# As we removed the even numbers, we don't need them now
																		if (i % j) == 0:
																								break
												else:
																		yield i
def 					__magic_name__(       ):
						from timeit import timeit

						UpperCamelCase_     :	int					     =     """from __main__ import slow_primes, primes, fast_primes"""
						print(timeit("""slow_primes(1_000_000_000_000)"""							,				setup=UpperCAmelCase__							,				number=1000000	)	)
						print(timeit("""primes(1_000_000_000_000)"""							,				setup=UpperCAmelCase__							,				number=1000000	)	)
						print(timeit("""fast_primes(1_000_000_000_000)"""							,				setup=UpperCAmelCase__							,				number=1000000	)	)


if __name__ == "__main__":
	__SCREAMING_SNAKE_CASE						=      int(input("Calculate primes up to:\n>> ").strip())
	for ret in primes(number):
		print(ret)
	benchmark()




