




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

from tokenizers import processors

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


if is_sentencepiece_available():
 from .tokenization_mbartaa import MBartaaTokenizer
else:
 a_ 		=  None


a_ 		=  logging.get_logger(__name__)

a_ 		=  {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

a_ 		=  {
    "vocab_file": {
        "facebook/mbart-large-50-one-to-many-mmt": (
            "https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "facebook/mbart-large-50-one-to-many-mmt": (
            "https://huggingface.co/facebook/mbart-large-50-one-to-many-mmt/resolve/main/tokenizer.json"
        ),
    },
}

a_ 		=  {
    "facebook/mbart-large-50-one-to-many-mmt": 1024,
}

# fmt: off
a_ 		=  ["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN", "af_ZA", "az_AZ", "bn_IN", "fa_IR", "he_IL", "hr_HR", "id_ID", "ka_GE", "km_KH", "mk_MK", "ml_IN", "mn_MN", "mr_IN", "pl_PL", "ps_AF", "pt_XX", "sv_SE", "sw_KE", "ta_IN", "te_IN", "th_TH", "tl_XX", "uk_UA", "ur_PK", "xh_ZA", "gl_ES", "sl_SI"]

class 			_lowerCamelCase    (      _SCREAMING_SNAKE_CASE ):

      """simple docstring"""

      lowerCAmelCase__      :			Dict     =       VOCAB_FILES_NAMES
      lowerCAmelCase__      :			Tuple     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__      :			str     =       PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__      :			Dict     =       ["input_ids", "attention_mask"]
      lowerCAmelCase__      :			Union[str, Any]     =       MBartaaTokenizer

      lowerCAmelCase__      :			List[int]     =       []
      lowerCAmelCase__      :			List[int]     =       []







      def __init__(  self       :			List[Any]			,							snake_case       :			int=None			,							snake_case       :			List[Any]=None			,							snake_case       :			Optional[Any]=None			,							snake_case       :			int=None			,							snake_case       :			List[Any]="</s>"			,							snake_case       :			Tuple="</s>"			,							snake_case       :			List[str]="<s>"			,							snake_case       :			Tuple="<unk>"			,							snake_case       :			List[Any]="<pad>"			,							snake_case       :			List[str]="<mask>"			,							**snake_case       :			Union[str, Any]			,							):
          # Mask token behave like a normal word, i.e. include the space before it
          __UpperCamelCase			=    AddedToken(snake_case			,							lstrip=snake_case			,							rstrip=snake_case					) if isinstance(snake_case			,							snake_case					) else mask_token

          __UpperCamelCase			=    kwargs.get('''additional_special_tokens'''			,							[]					)
          kwargs["additional_special_tokens"] += [
              code for code in FAIRSEQ_LANGUAGE_CODES if code not in kwargs["additional_special_tokens"]
          ]

          super().__init__(
              snake_case			,							src_lang=snake_case			,							tgt_lang=snake_case			,							tokenizer_file=snake_case			,							eos_token=snake_case			,							sep_token=snake_case			,							cls_token=snake_case			,							unk_token=snake_case			,							pad_token=snake_case			,							mask_token=snake_case			,							**snake_case			,							)

          __UpperCamelCase			=    vocab_file
          __UpperCamelCase			=    False if not self.vocab_file else True

          __UpperCamelCase			=    {
              lang_code: self.convert_tokens_to_ids(snake_case					) for lang_code in FAIRSEQ_LANGUAGE_CODES
          }

          __UpperCamelCase			=    src_lang if src_lang is not None else '''en_XX'''
          __UpperCamelCase			=    tgt_lang
          __UpperCamelCase			=    self.lang_code_to_id[self._src_lang]
          self.set_src_lang_special_tokens(self._src_lang					)







      @property
      def    snake_case						(  self       :			Optional[Any]					):
          return self._src_lang







      @src_lang.setter
      def    snake_case						(  self       :			Union[str, Any]			,							snake_case       :			str					):
          __UpperCamelCase			=    new_src_lang
          self.set_src_lang_special_tokens(self._src_lang					)







      def    snake_case						(  self       :			int			,							snake_case       :			List[int]			,							snake_case       :			Optional[List[int]] = None					):
          if token_ids_a is None:
              return self.prefix_tokens + token_ids_a + self.suffix_tokens
          # We don't expect to process pairs, but leave the pair logic for API consistency
          return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens







      def    snake_case						(  self       :			str			,							snake_case       :			List[str]			,							snake_case       :			str = "en_XX"			,							snake_case       :			Optional[List[str]] = None			,							snake_case       :			str = "ro_RO"			,							**snake_case       :			Union[str, Any]			,							):
          __UpperCamelCase			=    src_lang
          __UpperCamelCase			=    tgt_lang
          return super().prepare_seqaseq_batch(snake_case			,							snake_case			,							**snake_case					)







      def    snake_case						(  self       :			Optional[int]					):
          return self.set_src_lang_special_tokens(self.src_lang					)







      def    snake_case						(  self       :			List[Any]					):
          return self.set_tgt_lang_special_tokens(self.tgt_lang					)







      def    snake_case						(  self       :			Optional[Any]			,							snake_case       :			str					):
          __UpperCamelCase			=    self.convert_tokens_to_ids(snake_case					)
          __UpperCamelCase			=    [self.cur_lang_code_id]
          __UpperCamelCase			=    [self.eos_token_id]

          __UpperCamelCase			=    self.convert_ids_to_tokens(self.prefix_tokens					)
          __UpperCamelCase			=    self.convert_ids_to_tokens(self.suffix_tokens					)

          __UpperCamelCase			=    processors.TemplateProcessing(
              single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str			,							pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str			,							special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str			,							self.prefix_tokens + self.suffix_tokens					)					)			,							)







      def    snake_case						(  self       :			Any			,							snake_case       :			str					):
          __UpperCamelCase			=    self.convert_tokens_to_ids(snake_case					)
          __UpperCamelCase			=    [self.cur_lang_code_id]
          __UpperCamelCase			=    [self.eos_token_id]

          __UpperCamelCase			=    self.convert_ids_to_tokens(self.prefix_tokens					)
          __UpperCamelCase			=    self.convert_ids_to_tokens(self.suffix_tokens					)

          __UpperCamelCase			=    processors.TemplateProcessing(
              single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str			,							pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str			,							special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str			,							self.prefix_tokens + self.suffix_tokens					)					)			,							)







      def    snake_case						(  self       :			List[Any]			,							snake_case       :			List[Any]			,							snake_case       :			str			,							snake_case       :			Optional[str]			,							snake_case       :			Optional[str]			,							**snake_case       :			Any					):
          if src_lang is None or tgt_lang is None:
              raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''					)
          __UpperCamelCase			=    src_lang
          __UpperCamelCase			=    self(snake_case			,							add_special_tokens=snake_case			,							return_tensors=snake_case			,							**snake_case					)
          __UpperCamelCase			=    self.convert_tokens_to_ids(snake_case					)
          __UpperCamelCase			=    tgt_lang_id
          return inputs







      def    snake_case						(  self       :			List[Any]			,							snake_case       :			str			,							snake_case       :			Optional[str] = None					):
          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(snake_case					):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory"					)
              return
          __UpperCamelCase			=    os.path.join(
              snake_case			,							(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']					)

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

          return (out_vocab_file,)









import math
from collections.abc import Generator




def        __UpperCamelCase     (      _A					:							int		)				->Generator[int, None, None]:



							"""simple docstring"""
							lowerCamelCase_								=(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        __UpperCamelCase     (      _A					:							int		)				->Generator[int, None, None]:



							"""simple docstring"""
							lowerCamelCase_								=(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)
														lowerCamelCase_								=int(math.sqrt(_A		)		) + 1
														for j in range(2      ,  _A		):
																					if (i % j) == 0:
																												break
														else:
																					yield i




def        __UpperCamelCase     (      _A					:							int		)				->Generator[int, None, None]:



							"""simple docstring"""
							lowerCamelCase_								=(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):
														lowerCamelCase_								=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        __UpperCamelCase     (      )				->Dict:



							"""simple docstring"""
							from timeit import timeit

							lowerCamelCase_								="""from __main__ import slow_primes, primes, fast_primes"""
							print(timeit("""slow_primes(1_000_000_000_000)"""      ,  setup=_A      ,  number=1000000		)		)
							print(timeit("""primes(1_000_000_000_000)"""      ,  setup=_A      ,  number=1000000		)		)
							print(timeit("""fast_primes(1_000_000_000_000)"""      ,  setup=_A      ,  number=1000000		)		)


if __name__ == "__main__":
	__A	:   Union[str, Any]	=					int(input('Calculate primes up to:\n>> ').strip())
	for ret in primes(number):
		print(ret)
	benchmark()
