
'''simple docstring'''
import os
from typing import Dict, List, Union

import tensorflow as tf
from keras_nlp.tokenizers import BytePairTokenizer
from tensorflow_text import pad_model_inputs

from .tokenization_gpta import GPTaTokenizer







class  __A				( tf.keras.layers.Layer			):
 def __init__(   self			:    Optional[int]				,   lowerCamelCase			:    Dict[str, int]				,   lowerCamelCase			:    List[str]				,   lowerCamelCase			:    int = None				,   lowerCamelCase			:    int = None       ):



   """simple docstring"""





   super().__init__()
   __A		:     int												=		pad_token_id
   __A		:     Tuple												=		max_length
   __A		:     Dict												=		vocab
   __A		:     int												=		merges
   __A		:     str												=		BytePairTokenizer(lowerCamelCase				,   lowerCamelCase				,   sequence_length=lowerCamelCase       )
 @classmethod
 def 		lowercase_(   cls			:    Dict				,   lowerCamelCase			:    GPTaTokenizer				,   *lowerCamelCase			:    Union[str, Any]				,   **lowerCamelCase			:    Dict       ):



   """simple docstring"""





   __A		:     Optional[Any]												=		[""" """.join(lowerCamelCase       ) for m in tokenizer.bpe_ranks.keys()]
   __A		:     str												=		tokenizer.get_vocab()
   return cls(lowerCamelCase				,   lowerCamelCase				,   *lowerCamelCase				,   **lowerCamelCase       )
 @classmethod
 def 		lowercase_(   cls			:    int				,   lowerCamelCase			:    Union[str, os.PathLike]				,   *lowerCamelCase			:    int				,   **lowerCamelCase			:    int       ):



   """simple docstring"""





   __A		:     List[str]												=		GPTaTokenizer.from_pretrained(lowerCamelCase				,   *lowerCamelCase				,   **lowerCamelCase       )
   return cls.from_tokenizer(lowerCamelCase				,   *lowerCamelCase				,   **lowerCamelCase       )
 @classmethod
 def 		lowercase_(   cls			:    Tuple				,   lowerCamelCase			:    str       ):



   """simple docstring"""





   return cls(**lowerCamelCase       )
 def 		lowercase_(   self			:    str       ):



   """simple docstring"""





   return {
       "vocab": self.vocab,
       "merges": self.merges,
       "max_length": self.max_length,
       "pad_token_id": self.pad_token_id,
   }






 def 		lowercase_(   self			:    Dict				,   lowerCamelCase			:    Tuple				,   lowerCamelCase			:    int = None       ):



   """simple docstring"""





   __A		:     Optional[int]												=		self.tf_tokenizer(lowerCamelCase       )
   __A		:     List[str]												=		tf.ones_like(lowerCamelCase       )

   if self.pad_token_id is not None:
     # pad the tokens up to max length
     __A		:     str												=		max_length if max_length is not None else self.max_length

     if max_length is not None:
       __A							,					__A		:     List[str]												=		pad_model_inputs(
           lowerCamelCase				,   max_seq_length=lowerCamelCase				,   pad_value=self.pad_token_id       )

   return {"attention_mask": attention_mask, "input_ids": input_ids}





'''simple docstring'''
def        A_     (						__SCREAMING_SNAKE_CASE						:  int			,     __SCREAMING_SNAKE_CASE						:  bool = False )				->       bool:





  """simple docstring"""

  if n == 2:
    return True
  if not n % 2 or n < 2:
    return False
  if n > 5 and n % 10 not in (1, 3, 7, 9):  # can quickly check last digit
    return False
  if n > 3_3170_4406_4679_8873_8596_1981 and not allow_probable:
    raise ValueError(
        """Warning: upper bound of deterministic test is exceeded. """
        """Pass allow_probable=True to allow probabilistic test. """
        """A return value of True indicates a probable prime.""" )
  # array bounds provided by analysis
  __A		:     Optional[int]												=		[
      2047,
      137_3653,
      2532_6001,
      32_1503_1751,
      2_1523_0289_8747,
      3_4747_4966_0383,
      341_5500_7172_8321,
      1,
      382_5123_0565_4641_3051,
      1,
      1,
      3186_6585_7834_0311_5116_7461,
      3_3170_4406_4679_8873_8596_1981,
  ]

  __A		:     Optional[int]												=		[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41]
  for idx, _p in enumerate(__SCREAMING_SNAKE_CASE			,     1 ):
    if n < _p:
      # then we have our last prime to check
      __A		:     Union[str, Any]												=		primes[:idx]
      break
  __A							,					__A		:     int												=		n - 1, 0
  # break up n -1 into a power of 2 (s) and
  # remaining odd component
  # essentially, solve for d * 2 ** s == n - 1
  while d % 2 == 0:
    d //= 2
    s += 1
  for prime in plist:
    __A		:     int												=		False
    for r in range(__SCREAMING_SNAKE_CASE ):
      __A		:     Optional[Any]												=		pow(__SCREAMING_SNAKE_CASE			,     d * 2**r			,     __SCREAMING_SNAKE_CASE )
      # see article for analysis explanation for m
      if (r == 0 and m == 1) or ((m + 1) % n == 0):
        __A		:     Optional[int]												=		True
        # this loop will not determine compositeness
        break
    if pr:
      continue
    # if pr is False, then the above loop never evaluated to true,
    # and the n MUST be composite
    return False
  return True







def        A_     (						)				->       None:





  """simple docstring"""

  assert not miller_rabin(561 )
  assert miller_rabin(563 )
  # 2047

  assert not miller_rabin(83_8201 )
  assert miller_rabin(83_8207 )
  # 1_373_653

  assert not miller_rabin(1731_6001 )
  assert miller_rabin(1731_6017 )
  # 25_326_001

  assert not miller_rabin(30_7838_6641 )
  assert miller_rabin(30_7838_6653 )
  # 3_215_031_751

  assert not miller_rabin(1_7130_4557_4801 )
  assert miller_rabin(1_7130_4557_4819 )
  # 2_152_302_898_747

  assert not miller_rabin(2_7797_9972_8307 )
  assert miller_rabin(2_7797_9972_8327 )
  # 3_474_749_660_383

  assert not miller_rabin(113_8500_2390_9441 )
  assert miller_rabin(113_8500_2390_9527 )
  # 341_550_071_728_321

  assert not miller_rabin(127_5041_0188_4880_4351 )
  assert miller_rabin(127_5041_0188_4880_4391 )
  # 3_825_123_056_546_413_051

  assert not miller_rabin(796_6646_4458_5077_8779_1867 )
  assert miller_rabin(796_6646_4458_5077_8779_1951 )
  # 318_665_857_834_031_151_167_461

  assert not miller_rabin(5528_4067_7446_6478_9766_0333 )
  assert miller_rabin(5528_4067_7446_6478_9766_0359 )
  # 3_317_044_064_679_887_385_961_981
  # upper limit for probabilistic test


if __name__ == "__main__":
     test_miller_rabin()



