

import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

snake_case_			  = 3

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    int			):



     '''simple docstring'''





     print('Generating primitive root of p'			)
     while True:
          lowercase__    :   str      =       random.randrange(3	,     SCREAMING_SNAKE_CASE_			)
          if pow(SCREAMING_SNAKE_CASE_	,     2	,     SCREAMING_SNAKE_CASE_			) == 1:
               continue
          if pow(SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			) == 1:
               continue
          return g

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    int			):



     '''simple docstring'''





     print('Generating prime p...'			)
     lowercase__    :   List[str]      =       rabin_miller.generate_large_prime(SCREAMING_SNAKE_CASE_			)  # select large prime number.
     lowercase__    :   Tuple      =       primitive_root(SCREAMING_SNAKE_CASE_			)  # one primitive root on modulo p.
     lowercase__    :   Tuple      =       random.randrange(3	,     SCREAMING_SNAKE_CASE_			)  # private_key -> have to be greater than 2 for safety.
     lowercase__    :   Optional[Any]      =       cryptomath.find_mod_inverse(pow(SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			)	,     SCREAMING_SNAKE_CASE_			)

     lowercase__    :   List[Any]      =       (key_size, e_a, e_a, p)
     lowercase__    :   List[Any]      =       (key_size, d)

     return public_key, private_key

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    str	,     SCREAMING_SNAKE_CASE_		:    int			):



     '''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()

     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 fo:
          fo.write(f"""{public_key[0]},{public_key[1]},{public_key[2]},{public_key[3]}"""			)

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

def 	snake_case__			(    ):



     '''simple docstring'''





     print('Making key files...'			)
     make_key_files('elgamal'	,     2_048			)
     print('Key files generation successful'			)


if __name__ == "__main__":
       main()




from collections import OrderedDict
from typing import Mapping

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


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):
    __lowerCamelCase						:       Any														=     """distilbert"""
    __lowerCamelCase						:       List[Any]														=     {
        """hidden_size""": """dim""",
        """num_attention_heads""": """n_heads""",
        """num_hidden_layers""": """n_layers""",
    }





    def __init__(      self						,   a=3_0522						,   a=512						,   a=False						,   a=6						,   a=12						,   a=768						,   a=4 * 768						,   a=0.1						,   a=0.1						,   a="gelu"						,   a=0.02						,   a=0.1						,   a=0.2						,   a=0						,   **a						,   ):
         lowercase__    :   int      =       vocab_size
         lowercase__    :   int      =       max_position_embeddings
         lowercase__    :   List[str]      =       sinusoidal_pos_embds
         lowercase__    :   Tuple      =       n_layers
         lowercase__    :   Optional[int]      =       n_heads
         lowercase__    :   List[Any]      =       dim
         lowercase__    :   Any      =       hidden_dim
         lowercase__    :   Union[str, Any]      =       dropout
         lowercase__    :   Optional[int]      =       attention_dropout
         lowercase__    :   List[Any]      =       activation
         lowercase__    :   Union[str, Any]      =       initializer_range
         lowercase__    :   Dict      =       qa_dropout
         lowercase__    :   Tuple      =       seq_classif_dropout
         super().__init__(**a						,   pad_token_id=a)



class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





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

