'''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       lowerCAmelCase_							(   )       -> None:


     '''simple docstring'''




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





def       lowerCAmelCase_							(   snake_case_			:					int     )       -> tuple[tuple[int, int], tuple[int, int]]:


     '''simple docstring'''




     print("Generating prime p..."     )
     UpperCAmelCase_			       =  rabinMiller.generate_large_prime(_UpperCamelCase     )
     print("Generating prime q..."     )
     UpperCAmelCase_			       =  rabinMiller.generate_large_prime(_UpperCamelCase     )
     UpperCAmelCase_			       =  p * q

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

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

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





def       lowerCAmelCase_							(   snake_case_			:					str   ,       snake_case_			:					int     )       -> None:


     '''simple docstring'''




     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()

     UpperCAmelCase_       ,					UpperCAmelCase_			       =  generate_key(_UpperCamelCase     )
     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()










'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


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

UpperCamelCase_		:     str          =		{
    '''kssteven/ibert-roberta-base''': '''https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large''': '''https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large-mnli''': (
        '''https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'''
    ),
}

class   _a							(		__lowerCAmelCase				):
     SCREAMING_SNAKE_CASE_				:       List[Any]       							=		"""ibert"""






     def __init__(					self   ,_SCREAMING_SNAKE_CASE=30_522   ,_SCREAMING_SNAKE_CASE=768   ,_SCREAMING_SNAKE_CASE=12   ,_SCREAMING_SNAKE_CASE=12   ,_SCREAMING_SNAKE_CASE=3_072   ,_SCREAMING_SNAKE_CASE="gelu"   ,_SCREAMING_SNAKE_CASE=0.1   ,_SCREAMING_SNAKE_CASE=0.1   ,_SCREAMING_SNAKE_CASE=512   ,_SCREAMING_SNAKE_CASE=2   ,_SCREAMING_SNAKE_CASE=0.0_2   ,_SCREAMING_SNAKE_CASE=1e-12   ,_SCREAMING_SNAKE_CASE=1   ,_SCREAMING_SNAKE_CASE=0   ,_SCREAMING_SNAKE_CASE=2   ,_SCREAMING_SNAKE_CASE="absolute"   ,_SCREAMING_SNAKE_CASE=False   ,_SCREAMING_SNAKE_CASE="none"   ,**_SCREAMING_SNAKE_CASE   ,)				->     Dict:
          super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE   ,bos_token_id=_SCREAMING_SNAKE_CASE   ,eos_token_id=_SCREAMING_SNAKE_CASE   ,**_SCREAMING_SNAKE_CASE       )

          _snake_case				= vocab_size
          _snake_case				= hidden_size
          _snake_case				= num_hidden_layers
          _snake_case				= num_attention_heads
          _snake_case				= hidden_act
          _snake_case				= intermediate_size
          _snake_case				= hidden_dropout_prob
          _snake_case				= attention_probs_dropout_prob
          _snake_case				= max_position_embeddings
          _snake_case				= type_vocab_size
          _snake_case				= initializer_range
          _snake_case				= layer_norm_eps
          _snake_case				= position_embedding_type
          _snake_case				= quant_mode
          _snake_case				= force_dequant







class   _a							(		__lowerCAmelCase				):






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


