





'''simple docstring'''

import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel






class        UpperCAmelCase     (	UpperCamelCase__    ):
 __lowercase       		=    """M-CLIP"""
 def __init__(    self				:Optional[Any]						,	lowercase_				:Any=10_24						,	lowercase_				:Optional[Any]=7_68						,	**lowercase_				:Optional[int]							)->							Dict:
     A__    =      transformerDimSize
     A__    =      imageDimSize
     super().__init__(**lowercase_							)






class        UpperCAmelCase     (	UpperCamelCase__    ):
 __lowercase       		=    MCLIPConfig
 def __init__(    self				:Dict						,	lowercase_				:str						,	*lowercase_				:List[Any]						,	**lowercase_				:Dict							)->							Optional[int]:
     super().__init__(lowercase_						,	*lowercase_						,	**lowercase_							)
     A__    =      XLMRobertaModel(lowercase_							)
     A__    =      torch.nn.Linear(
         in_features=config.transformerDimensions						,	out_features=config.numDims							)



 def 					UpperCAmelCase_							(    self				:Union[str, Any]						,	lowercase_				:Dict						,	lowercase_				:Dict							)->							Union[str, Any]:
     A__    =      self.transformer(input_ids=lowercase_						,	attention_mask=lowercase_							)[0]
     A__    =      (embs * attention_mask.unsqueeze(2							)).sum(dim=1							) / attention_mask.sum(dim=1							)[:, None]
     return self.LinearTransformation(lowercase_							), embs










'''simple docstring'''

import os
import random
import sys

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





def 						UpperCamelCase    (							):
    print("Making key files..."	)
    make_key_files("rsa"						,	10_24	)
    print("Key files generation successful."	)





def 						UpperCamelCase    (							_lowerCamelCase : int	):
    print("Generating prime p..."	)
    A__    =      rabinMiller.generate_large_prime(_lowerCamelCase	)
    print("Generating prime q..."	)
    A__    =      rabinMiller.generate_large_prime(_lowerCamelCase	)
    A__    =      p * q

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

    print("Calculating d that is mod inverse of e..."	)
    A__    =      cryptoMath.find_mod_inverse(_lowerCamelCase						,	(p - 1) * (q - 1)	)

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





def 						UpperCamelCase    (							_lowerCamelCase : str						,	_lowerCamelCase : int	):
    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()

    A__,     A__    =      generate_key(_lowerCamelCase	)
    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()



