





import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812






def lowerCamelCase__    (							)      ->				None:
   print('''Making key files...'''       )
   make_key_files('''rsa'''       ,      1024       )
   print('''Key files generation successful.'''       )






def lowerCamelCase__    (							snake_case_	:  int       )      ->				tuple[tuple[int, int], tuple[int, int]]:
   print('''Generating prime p...'''       )
   __snake_case							       =   rabinMiller.generate_large_prime(snake_case_       )
   print('''Generating prime q...'''       )
   __snake_case							       =   rabinMiller.generate_large_prime(snake_case_       )
   __snake_case							       =   p * q

   print('''Generating e that is relatively prime to (p - 1) * (q - 1)...'''       )
   while True:
      __snake_case							       =   random.randrange(2 ** (key_size - 1)       ,      2 ** (key_size)       )
      if cryptoMath.gcd(snake_case_       ,      (p - 1) * (q - 1)       ) == 1:
         break

   print('''Calculating d that is mod inverse of e...'''       )
   __snake_case							       =   cryptoMath.find_mod_inverse(snake_case_       ,      (p - 1) * (q - 1)       )

   __snake_case							       =   (n, e)
   __snake_case							       =   (n, d)
   return (public_key, private_key)






def lowerCamelCase__    (							snake_case_	:  str       ,      snake_case_	:  int       )      ->				None:
   if os.path.exists(f"""{name}_pubkey.txt"""       ) or os.path.exists(f"""{name}_privkey.txt"""       ):
      print('''\nWARNING:'''       )
      print(
          f"""\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"""
          '''Use a different name or delete these files and re-run this program.'''       )
      sys.exit()

   __snake_case       ,	__snake_case							       =   generate_key(snake_case_       )
   print(f"""\nWriting public key to file {name}_pubkey.txt..."""       )
   with open(f"""{name}_pubkey.txt"""       ,      '''w'''       ) as out_file:
      out_file.write(f"""{key_size},{public_key[0]},{public_key[1]}"""       )

   print(f"""Writing private key to file {name}_privkey.txt..."""       )
   with open(f"""{name}_privkey.txt"""       ,      '''w'''       ) as out_file:
      out_file.write(f"""{key_size},{private_key[0]},{private_key[1]}"""       )


if __name__ == "__main__":
    main()








from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case_				=			logging.get_logger(__name__)

snake_case_				=			{
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}

class 		SCREAMING_SNAKE_CASE__				(       _UpperCAmelCase  ):
      A_						:				List[Any]							=    'vit_msn'


      def __init__(self       :      Union[str, Any]				,			a__       :      Optional[Any]=768				,			a__       :      Optional[Any]=12				,			a__       :      Optional[int]=12				,			a__       :      Optional[int]=3072				,			a__       :      Union[str, Any]="gelu"				,			a__       :      str=0.0				,			a__       :      int=0.0				,			a__       :      Optional[Any]=0.0_2				,			a__       :      List[Any]=1E-06				,			a__       :      Optional[int]=224				,			a__       :      str=16				,			a__       :      Optional[Any]=3				,			a__       :      int=True				,			**a__       :      List[Any]				,			):





         """simple docstring"""



         super().__init__(**a__      )

         __snake_case							       =   hidden_size
         __snake_case							       =   num_hidden_layers
         __snake_case							       =   num_attention_heads
         __snake_case							       =   intermediate_size
         __snake_case							       =   hidden_act
         __snake_case							       =   hidden_dropout_prob
         __snake_case							       =   attention_probs_dropout_prob
         __snake_case							       =   initializer_range
         __snake_case							       =   layer_norm_eps
         __snake_case							       =   image_size
         __snake_case							       =   patch_size
         __snake_case							       =   num_channels
         __snake_case							       =   qkv_bias

