






from collections import OrderedDict
from typing import Mapping

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


lowercase  							= logging.get_logger(__name__)

lowercase  							= {
    "flaubert/flaubert_small_cased": "https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json",
    "flaubert/flaubert_base_uncased": "https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json",
    "flaubert/flaubert_base_cased": "https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json",
    "flaubert/flaubert_large_cased": "https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json",
}




class 			UpperCamelCase_				(      snake_case_    ):



	'''simple docstring'''




	lowerCAmelCase													=			'''flaubert'''
	lowerCAmelCase													=			{
	    '''hidden_size''': '''emb_dim''',
	    '''num_attention_heads''': '''n_heads''',
	    '''num_hidden_layers''': '''n_layers''',
	    '''n_words''': '''vocab_size''',  # For backward compatibility
	}




	def __init__(	self	,      a=False	,      a=0.0	,      a=3_01_45	,      a=20_48	,      a=12	,      a=16	,      a=0.1	,      a=0.1	,      a=True	,      a=False	,      a=False	,      a=False	,      a=1	,      a=True	,      a=5_12	,      a=20_48**-0.5	,      a=1E-12	,      a=0.02	,      a=0	,      a=1	,      a=2	,      a=3	,      a=5	,      a=True	,      a="first"	,      a=True	,      a=None	,      a=True	,      a=0.1	,      a=5	,      a=5	,      a=0	,      a=0	,      a=2	,      a=0	,      **a	,      )	->   Optional[int]:
								snake_case_           =							pre_norm
								snake_case_           =							layerdrop
								snake_case_           =							vocab_size
								snake_case_           =							emb_dim
								snake_case_           =							n_layers
								snake_case_           =							n_heads
								snake_case_           =							dropout
								snake_case_           =							attention_dropout
								snake_case_           =							gelu_activation
								snake_case_           =							sinusoidal_embeddings
								snake_case_           =							causal
								snake_case_           =							asm
								snake_case_           =							n_langs
								snake_case_           =							use_lang_emb
								snake_case_           =							layer_norm_eps
								snake_case_           =							bos_index
								snake_case_           =							eos_index
								snake_case_           =							pad_index
								snake_case_           =							unk_index
								snake_case_           =							mask_index
								snake_case_           =							is_encoder
								snake_case_           =							max_position_embeddings
								snake_case_           =							embed_init_std
								snake_case_           =							init_std
								snake_case_           =							summary_type
								snake_case_           =							summary_use_proj
								snake_case_           =							summary_activation
								snake_case_           =							summary_proj_to_labels
								snake_case_           =							summary_first_dropout
								snake_case_           =							start_n_top
								snake_case_           =							end_n_top
								snake_case_           =							mask_token_id
								snake_case_           =							lang_id

								if "n_words" in kwargs:
															snake_case_           =							kwargs['n_words']

								super().__init__(pad_token_id=a	,      bos_token_id=a	,      **a )






class 			UpperCamelCase_				(      snake_case_    ):



	'''simple docstring'''




	@property
	def 							_UpperCamelCase      (	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),
								    ] )













from __future__ import annotations





def 						__UpperCAmelCase      (					a_):
							for r in range(1							,					a_):
														snake_case_           =							[]
														for x in range(n - 1):
																					snake_case_           =							pow(a_							,					a_							,					a_)
																					if val in li:
																												break
																					li.append(a_)
														else:
																					return r
							return None


if __name__ == "__main__":
	lowercase  							= int(input("Enter a prime number q: "))
	lowercase  							= find_primitive(q)
	if a is None:
		print(f'Cannot find the primitive for the value: {a!r}')
	else:
		lowercase  							= int(input("Enter private key of A: "))
		lowercase  							= pow(a, a_private, q)
		lowercase  							= int(input("Enter private key of B: "))
		lowercase  							= pow(a, b_private, q)

		lowercase  							= pow(b_public, a_private, q)
		lowercase  							= pow(a_public, b_private, q)

		print("The key value generated by A is: ", a_secret)
		print("The key value generated by B is: ", b_secret)





