


"""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					:       Any							   =							logging.get_logger(__name__)

SCREAMING_SNAKE_CASE					:       Optional[Any]							   =							{
    """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/config.json""",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}



class      _UpperCAmelCase					(				__snake_case							):






		'''simple docstring'''

		lowerCamelCase__           ='rembert'



		def __init__(self							,			a_=25_03_00							,			a_=11_52							,			a_=32							,			a_=18							,			a_=2_56							,			a_=16_64							,			a_=46_08							,			a_="gelu"							,			a_=0.0							,			a_=0.0							,			a_=0.1							,			a_=5_12							,			a_=2							,			a_=0.02							,			a_=1E-12							,			a_=True							,			a_=0							,			a_=3_12							,			a_=3_13							,			**a_							,			):





			'''simple docstring'''

			super().__init__(pad_token_id=a_							,			bos_token_id=a_							,			eos_token_id=a_							,			**a_   )

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



class      _UpperCAmelCase					(				__snake_case							):






		'''simple docstring'''

		@property
		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

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



		@property
		def 							SCREAMING_SNAKE_CASE    (self   ):





			'''simple docstring'''

			return 1E-4







'''simple docstring'''

import random
import sys

__UpperCAmelCase												=   'ABCDEFGHIJKLMNOPQRSTUVWXYZ'



def        SCREAMING_SNAKE_CASE_  (	)       ->	None:
 SCREAMING_SNAKE_CASE  :  Dict								=		input('Enter message: '							)
 SCREAMING_SNAKE_CASE  :  Dict								=		'LFWOAYUISVKMNXPBDCRJTQEGHZ'
 SCREAMING_SNAKE_CASE  :  Tuple								=		input('Encrypt/Decrypt [e/d]: '							)

 check_valid_key(snake_case_							)

 if resp.lower().startswith('e'							):
  SCREAMING_SNAKE_CASE  :  str								=		'encrypt'
  SCREAMING_SNAKE_CASE  :  Optional[Any]								=		encrypt_message(snake_case_   ,     snake_case_							)
 elif resp.lower().startswith('d'							):
  SCREAMING_SNAKE_CASE  :  List[Any]								=		'decrypt'
  SCREAMING_SNAKE_CASE  :  List[str]								=		decrypt_message(snake_case_   ,     snake_case_							)

 print(f"""\n{mode.title()}ion: \n{translated}"""							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str							)       ->	None:
 SCREAMING_SNAKE_CASE  :  int								=		list(snake_case_							)
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		list(snake_case_							)
 key_list.sort()
 letters_list.sort()

 if key_list != letters_list:
  sys.exit('Error in the key or symbol set.'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 return translate_message(snake_case_   ,     snake_case_   ,     'encrypt'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 return translate_message(snake_case_   ,     snake_case_   ,     'decrypt'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 SCREAMING_SNAKE_CASE  :  Any								=		''
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		LETTERS
 SCREAMING_SNAKE_CASE  :  List[Any]								=		key

 if mode == "decrypt":
  SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE  :  List[Any]								=		chars_b, chars_a

 for symbol in message:
  if symbol.upper() in chars_a:
   SCREAMING_SNAKE_CASE  :  Optional[Any]								=		chars_a.find(symbol.upper()							)
   if symbol.isupper():
    translated += chars_b[sym_index].upper()
   else:
    translated += chars_b[sym_index].lower()
  else:
   translated += symbol

 return translated



def        SCREAMING_SNAKE_CASE_  (	)       ->	str:
 SCREAMING_SNAKE_CASE  :  Dict								=		list(snake_case_							)
 random.shuffle(snake_case_							)
 return "".join(snake_case_							)


if __name__ == "__main__":
   main()


