






import random







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int       ):
	snake_case__			:				str       =  num - 1
	snake_case__			:				Tuple       =  0

	while s % 2 == 0:
		snake_case__			:				int       =  s // 2
		t += 1

	for _ in range(5       ):
		snake_case__			:				Dict       =  random.randrange(2					,  num - 1       )
		snake_case__			:				Optional[Any]       =  pow(snake_case_					,  snake_case_					,  snake_case_       )
		if v != 1:
			snake_case__			:				str       =  0
			while v != (num - 1):
				if i == t - 1:
					return False
				else:
					snake_case__			:				int       =  i + 1
					snake_case__			:				Optional[Any]       =  (v**2) % num
	return True







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int       ):
	if num < 2:
		return False

	snake_case__			:				Optional[Any]       =  [
	    2,
	    3,
	    5,
	    7,
	    11,
	    13,
	    17,
	    19,
	    23,
	    29,
	    31,
	    37,
	    41,
	    43,
	    47,
	    53,
	    59,
	    61,
	    67,
	    71,
	    73,
	    79,
	    83,
	    89,
	    97,
	    101,
	    103,
	    107,
	    109,
	    113,
	    127,
	    131,
	    137,
	    139,
	    149,
	    151,
	    157,
	    163,
	    167,
	    173,
	    179,
	    181,
	    191,
	    193,
	    197,
	    199,
	    211,
	    223,
	    227,
	    229,
	    233,
	    239,
	    241,
	    251,
	    257,
	    263,
	    269,
	    271,
	    277,
	    281,
	    283,
	    293,
	    307,
	    311,
	    313,
	    317,
	    331,
	    337,
	    347,
	    349,
	    353,
	    359,
	    367,
	    373,
	    379,
	    383,
	    389,
	    397,
	    401,
	    409,
	    419,
	    421,
	    431,
	    433,
	    439,
	    443,
	    449,
	    457,
	    461,
	    463,
	    467,
	    479,
	    487,
	    491,
	    499,
	    503,
	    509,
	    521,
	    523,
	    541,
	    547,
	    557,
	    563,
	    569,
	    571,
	    577,
	    587,
	    593,
	    599,
	    601,
	    607,
	    613,
	    617,
	    619,
	    631,
	    641,
	    643,
	    647,
	    653,
	    659,
	    661,
	    673,
	    677,
	    683,
	    691,
	    701,
	    709,
	    719,
	    727,
	    733,
	    739,
	    743,
	    751,
	    757,
	    761,
	    769,
	    773,
	    787,
	    797,
	    809,
	    811,
	    821,
	    823,
	    827,
	    829,
	    839,
	    853,
	    857,
	    859,
	    863,
	    877,
	    881,
	    883,
	    887,
	    907,
	    911,
	    919,
	    929,
	    937,
	    941,
	    947,
	    953,
	    967,
	    971,
	    977,
	    983,
	    991,
	    997,
	]

	if num in low_primes:
		return True

	for prime in low_primes:
		if (num % prime) == 0:
			return False

	return rabin_miller(snake_case_       )







def 					SCREAMING_SNAKE_CASE    (			snake_case_ :							int = 1024       ):
	while True:
		snake_case__			:				Tuple       =  random.randrange(2 ** (keysize - 1)					,  2 ** (keysize)       )
		if is_prime_low_num(snake_case_       ):
			return num


if __name__ == "__main__":
	__lowerCamelCase :      Union[str, Any]										=				generate_large_prime()
	print(("""Prime number:""", num))
	print(("""is_prime_low_num:""", is_prime_low_num(num)))











from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase :      Optional[int]										=				logging.get_logger(__name__)

__lowerCamelCase :      str										=				{
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}



class 							SCREAMING_SNAKE_CASE__						(    UpperCamelCase_						):





					"""simple docstring"""






					a_     =		"roberta-prelayernorm"



					def __init__( self					:  Tuple							,		__A					:  Any=5_0_2_6_5							,		__A					:  Optional[int]=7_6_8							,		__A					:  Dict=1_2							,		__A					:  Union[str, Any]=1_2							,		__A					:  List[Any]=3_0_7_2							,		__A					:  Optional[Any]="gelu"							,		__A					:  Optional[int]=0.1							,		__A					:  Tuple=0.1							,		__A					:  Optional[Any]=5_1_2							,		__A					:  List[str]=2							,		__A					:  Optional[int]=0.0_2							,		__A					:  Tuple=1e-1_2							,		__A					:  Any=1							,		__A					:  str=0							,		__A					:  int=2							,		__A					:  List[str]="absolute"							,		__A					:  Optional[Any]=True							,		__A					:  List[Any]=None							,		**__A					:  Optional[Any]							,		):
						super().__init__(pad_token_id=__A							,		bos_token_id=__A							,		eos_token_id=__A							,		**__A	)

						snake_case__			:				Tuple       =  vocab_size
						snake_case__			:				Optional[Any]       =  hidden_size
						snake_case__			:				List[Any]       =  num_hidden_layers
						snake_case__			:				List[Any]       =  num_attention_heads
						snake_case__			:				Dict       =  hidden_act
						snake_case__			:				Union[str, Any]       =  intermediate_size
						snake_case__			:				List[Any]       =  hidden_dropout_prob
						snake_case__			:				Any       =  attention_probs_dropout_prob
						snake_case__			:				int       =  max_position_embeddings
						snake_case__			:				Tuple       =  type_vocab_size
						snake_case__			:				Optional[int]       =  initializer_range
						snake_case__			:				int       =  layer_norm_eps
						snake_case__			:				Dict       =  position_embedding_type
						snake_case__			:				int       =  use_cache
						snake_case__			:				Dict       =  classifier_dropout



class 							SCREAMING_SNAKE_CASE__						(    UpperCamelCase_						):





					"""simple docstring"""






					@property
					def 	_lowercase					( self					:  Optional[int]	):
						if self.task == "multiple-choice":
							snake_case__			:				List[str]       =  {0: "batch", 1: "choice", 2: "sequence"}
						else:
							snake_case__			:				Tuple       =  {0: "batch", 1: "sequence"}
						return OrderedDict(
						    [
						        ("input_ids", dynamic_axis),
						        ("attention_mask", dynamic_axis),
						    ]	)



