





"""simple docstring"""
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_layoutlm import LayoutLMTokenizer


lowerCamelCase_          =	logging.get_logger(__name__)

lowerCamelCase_          =	{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

lowerCamelCase_          =	{
    "vocab_file": {
        "microsoft/layoutlm-base-uncased": (
            "https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/vocab.txt"
        ),
        "microsoft/layoutlm-large-uncased": (
            "https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "microsoft/layoutlm-base-uncased": (
            "https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer.json"
        ),
        "microsoft/layoutlm-large-uncased": (
            "https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/tokenizer.json"
        ),
    },
}

lowerCamelCase_          =	{
    "microsoft/layoutlm-base-uncased": 5_1_2,
    "microsoft/layoutlm-large-uncased": 5_1_2,
}

lowerCamelCase_          =	{
    "microsoft/layoutlm-base-uncased": {"do_lower_case": True},
    "microsoft/layoutlm-large-uncased": {"do_lower_case": True},
}






class       _SCREAMING_SNAKE_CASE(     A						):
       SCREAMING_SNAKE_CASE_     :   Optional[Any]					=						VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE_     :   Dict					=						PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE_     :   Optional[Any]					=						PRETRAINED_INIT_CONFIGURATION
       SCREAMING_SNAKE_CASE_     :   List[str]					=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       SCREAMING_SNAKE_CASE_     :   Any					=						LayoutLMTokenizer




       def __init__(		self	,SCREAMING_SNAKE_CASE__=None	,SCREAMING_SNAKE_CASE__=None	,SCREAMING_SNAKE_CASE__=True	,SCREAMING_SNAKE_CASE__="[UNK]"	,SCREAMING_SNAKE_CASE__="[SEP]"	,SCREAMING_SNAKE_CASE__="[PAD]"	,SCREAMING_SNAKE_CASE__="[CLS]"	,SCREAMING_SNAKE_CASE__="[MASK]"	,SCREAMING_SNAKE_CASE__=True	,SCREAMING_SNAKE_CASE__=None	,**SCREAMING_SNAKE_CASE__	,)    ->   Optional[int]:





             """simple docstring"""






             super().__init__(
                 SCREAMING_SNAKE_CASE__	,tokenizer_file=SCREAMING_SNAKE_CASE__	,do_lower_case=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__	,tokenize_chinese_chars=SCREAMING_SNAKE_CASE__	,strip_accents=SCREAMING_SNAKE_CASE__	,**SCREAMING_SNAKE_CASE__	,)

             __SCREAMING_SNAKE_CASE     :Optional[int]	       =						json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
             if (
                 normalizer_state.get('''lowercase'''	,SCREAMING_SNAKE_CASE__							) != do_lower_case
                 or normalizer_state.get('''strip_accents'''	,SCREAMING_SNAKE_CASE__							) != strip_accents
                 or normalizer_state.get('''handle_chinese_chars'''	,SCREAMING_SNAKE_CASE__							) != tokenize_chinese_chars
             ):
                   __SCREAMING_SNAKE_CASE     :Any	       =						getattr(SCREAMING_SNAKE_CASE__	,normalizer_state.pop('''type'''							)							)
                   __SCREAMING_SNAKE_CASE     :Any	       =						do_lower_case
                   __SCREAMING_SNAKE_CASE     :Optional[Any]	       =						strip_accents
                   __SCREAMING_SNAKE_CASE     :Dict	       =						tokenize_chinese_chars
                   __SCREAMING_SNAKE_CASE     :Tuple	       =						normalizer_class(**SCREAMING_SNAKE_CASE__							)

             __SCREAMING_SNAKE_CASE     :str	       =						do_lower_case




       def 					_UpperCamelCase  (		self	,SCREAMING_SNAKE_CASE__	,SCREAMING_SNAKE_CASE__=None							)    ->   Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE     :int	       =						[self.cls_token_id] + token_ids_a + [self.sep_token_id]

             if token_ids_a:
                   output += token_ids_a + [self.sep_token_id]

             return output




       def 					_UpperCamelCase  (		self	,SCREAMING_SNAKE_CASE__	,SCREAMING_SNAKE_CASE__ = None							)    ->   List[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE     :int	       =						[self.sep_token_id]
             __SCREAMING_SNAKE_CASE     :int	       =						[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 					_UpperCamelCase  (		self	,SCREAMING_SNAKE_CASE__	,SCREAMING_SNAKE_CASE__ = None							)    ->   Tuple[str]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE     :int	       =						self._tokenizer.model.save(SCREAMING_SNAKE_CASE__	,name=SCREAMING_SNAKE_CASE__							)
             return tuple(SCREAMING_SNAKE_CASE__							)






"""simple docstring"""
import math
from collections.abc import Generator



def   __lowerCamelCase     (							a_  :	int							)    ->   Generator[int, None, None]:
      __SCREAMING_SNAKE_CASE     :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				,     a_							):
                  if (i % j) == 0:
                        break
            else:
                  yield i



def   __lowerCamelCase     (							a_  :	int							)    ->   Generator[int, None, None]:
      __SCREAMING_SNAKE_CASE     :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)
            __SCREAMING_SNAKE_CASE     :Tuple	       =						int(math.sqrt(a_							)							) + 1
            for j in range(2				,     a_							):
                  if (i % j) == 0:
                        break
            else:
                  yield i



def   __lowerCamelCase     (							a_  :	int							)    ->   Generator[int, None, None]:
      __SCREAMING_SNAKE_CASE     :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):
            __SCREAMING_SNAKE_CASE     :int	       =						int(math.sqrt(a_							)							) + 1
            for j in range(3				,     a_				,     2							):
                  # As we removed the even numbers, we don't need them now
                  if (i % j) == 0:
                        break
            else:
                  yield i



def   __lowerCamelCase     (							)    ->   Union[str, Any]:
      from timeit import timeit

      __SCREAMING_SNAKE_CASE     :Optional[Any]	       =						'''from __main__ import slow_primes, primes, fast_primes'''
      print(timeit('''slow_primes(1_000_000_000_000)'''				,     setup=a_				,     number=1_00_00_00							)							)
      print(timeit('''primes(1_000_000_000_000)'''				,     setup=a_				,     number=1_00_00_00							)							)
      print(timeit('''fast_primes(1_000_000_000_000)'''				,     setup=a_				,     number=1_00_00_00							)							)


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