
import os
import random
import sys

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






def 		_UpperCAmelCase   (	):






	"""simple docstring"""


	print("Making key files..."  )
	make_key_files("rsa"			,							1_0_2_4  )
	print("Key files generation successful."  )






def 		_UpperCAmelCase   (	UpperCamelCase:     int  ):






	"""simple docstring"""


	print("Generating prime p..."  )
	__lowerCAmelCase         =							rabinMiller.generate_large_prime(UpperCamelCase  )
	print("Generating prime q..."  )
	__lowerCAmelCase         =							rabinMiller.generate_large_prime(UpperCamelCase  )
	__lowerCAmelCase         =							p * q

	print("Generating e that is relatively prime to (p - 1) * (q - 1)..."  )
	while True:
		__lowerCAmelCase         =							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..."  )
	__lowerCAmelCase         =							cryptoMath.find_mod_inverse(UpperCamelCase			,							(p - 1) * (q - 1)  )

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






def 		_UpperCAmelCase   (	UpperCamelCase:     str			,							UpperCamelCase:     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()

	__lowerCAmelCase   ,						__lowerCAmelCase         =							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()








from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_   	=	logging.get_logger(__name__)

UpperCamelCase_   	=	{
    "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       a		(   __UpperCAmelCase					):
							lowercase_		:						str   							=  'distilbert'
							lowercase_		:						Any   							=  {
							    'hidden_size': 'dim',
							    'num_attention_heads': 'n_heads',
							    'num_hidden_layers': 'n_layers',
							}







							def __init__(						self  :  Optional[int]      ,				snake_case__  :  int=30_522      ,				snake_case__  :  str=512      ,				snake_case__  :  Tuple=False      ,				snake_case__  :  Tuple=6      ,				snake_case__  :  Any=12      ,				snake_case__  :  Dict=768      ,				snake_case__  :  Any=4 * 768      ,				snake_case__  :  Union[str, Any]=0.1      ,				snake_case__  :  str=0.1      ,				snake_case__  :  Tuple="gelu"      ,				snake_case__  :  str=0.0_2      ,				snake_case__  :  Optional[Any]=0.1      ,				snake_case__  :  Optional[Any]=0.2      ,				snake_case__  :  str=0      ,				**snake_case__  :  Dict      ,				):
								"""simple docstring"""







								__lowerCAmelCase         =							vocab_size
								__lowerCAmelCase         =							max_position_embeddings
								__lowerCAmelCase         =							sinusoidal_pos_embds
								__lowerCAmelCase         =							n_layers
								__lowerCAmelCase         =							n_heads
								__lowerCAmelCase         =							dim
								__lowerCAmelCase         =							hidden_dim
								__lowerCAmelCase         =							dropout
								__lowerCAmelCase         =							attention_dropout
								__lowerCAmelCase         =							activation
								__lowerCAmelCase         =							initializer_range
								__lowerCAmelCase         =							qa_dropout
								__lowerCAmelCase         =							seq_classif_dropout
								super().__init__(**snake_case__      ,				pad_token_id=snake_case__ )

class       a		(   __UpperCAmelCase					):







							@property
							def       UpperCAmelCase__					(						self  :  Tuple ):
								"""simple docstring"""







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






