"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE								=logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE								={
    "google/bigbird-roberta-base": "https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json",
    "google/bigbird-roberta-large": "https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json",
    "google/bigbird-base-trivia-itc": "https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}







class  UpperCamelCase	(    lowercase_						):
   lowercase							=						'big_bird'
   def __init__(    self  ,__UpperCamelCase=5_0358  ,__UpperCamelCase=768  ,__UpperCamelCase=12  ,__UpperCamelCase=12  ,__UpperCamelCase=3072  ,__UpperCamelCase="gelu_new"  ,__UpperCamelCase=0.1  ,__UpperCamelCase=0.1  ,__UpperCamelCase=4096  ,__UpperCamelCase=2  ,__UpperCamelCase=0.02  ,__UpperCamelCase=1e-12  ,__UpperCamelCase=True  ,__UpperCamelCase=0  ,__UpperCamelCase=1  ,__UpperCamelCase=2  ,__UpperCamelCase=66  ,__UpperCamelCase="block_sparse"  ,__UpperCamelCase=True  ,__UpperCamelCase=False  ,__UpperCamelCase=64  ,__UpperCamelCase=3  ,__UpperCamelCase=None  ,**__UpperCamelCase  ,)			->   str:


        '''simple docstring'''


        super().__init__(
            pad_token_id=__UpperCamelCase  ,bos_token_id=__UpperCamelCase  ,eos_token_id=__UpperCamelCase  ,sep_token_id=__UpperCamelCase  ,**__UpperCamelCase  ,)

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

        lowercase_			:       Optional[int]									=			rescale_embeddings
        lowercase_			:       Optional[int]									=			attention_type
        lowercase_			:       Dict									=			use_bias
        lowercase_			:       str									=			block_size
        lowercase_			:       List[Any]									=			num_random_blocks
        lowercase_			:       Optional[int]									=			classifier_dropout







class  UpperCamelCase	(    lowercase_						):
   @property
   def     _UpperCAmelCase     (    self    )			->   Mapping[str, Mapping[int, str]]:


        '''simple docstring'''


        if self.task == "multiple-choice":
             lowercase_			:       Any									=			{0: 'batch', 1: 'choice', 2: 'sequence'}
        else:
             lowercase_			:       Optional[int]									=			{0: 'batch', 1: 'sequence'}
        return OrderedDict(
            [
                ('input_ids', dynamic_axis),
                ('attention_mask', dynamic_axis),
            ]    )


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



def     lowercase__( __SCREAMING_SNAKE_CASE							:  int   ):
     print('Generating prime p...'   )
     lowercase_			:       List[str]									=			rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE   )
     print('Generating prime q...'   )
     lowercase_			:       int									=			rabinMiller.generate_large_prime(__SCREAMING_SNAKE_CASE   )
     lowercase_			:       Union[str, Any]									=			p * q

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

     print('Calculating d that is mod inverse of e...'   )
     lowercase_			:       List[str]									=			cryptoMath.find_mod_inverse(__SCREAMING_SNAKE_CASE  ,    (p - 1) * (q - 1)   )

     lowercase_			:       Any									=			(n, e)
     lowercase_			:       int									=			(n, d)
     return (public_key, private_key)



def     lowercase__( __SCREAMING_SNAKE_CASE							:  str  ,    __SCREAMING_SNAKE_CASE							:  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()

     lowercase_							,						lowercase_			:       int									=			generate_key(__SCREAMING_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()

