




from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase__						:      Dict								=					logging.get_logger(__name__)

UpperCamelCase__						:      Union[str, Any]								=					{
    'google/mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'
}







class 				lowerCamelCase_     (	a_     ):
							SCREAMING_SNAKE_CASE_						     =			MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
							SCREAMING_SNAKE_CASE_						     =			'mobilebert'
							def __init__(						self		:					List[str]							,__lowerCamelCase		:					Union[str, Any]=3_05_22							,__lowerCamelCase		:					Optional[int]=5_12							,__lowerCamelCase		:					Optional[int]=24							,__lowerCamelCase		:					Dict=4							,__lowerCamelCase		:					Dict=5_12							,__lowerCamelCase		:					Optional[int]="relu"							,__lowerCamelCase		:					Dict=0.0							,__lowerCamelCase		:					str=0.1							,__lowerCamelCase		:					List[str]=5_12							,__lowerCamelCase		:					Union[str, Any]=2							,__lowerCamelCase		:					Optional[int]=0.02							,__lowerCamelCase		:					List[str]=1e-12							,__lowerCamelCase		:					str=0							,__lowerCamelCase		:					Optional[int]=1_28							,__lowerCamelCase		:					int=True							,__lowerCamelCase		:					List[str]=True							,__lowerCamelCase		:					int=1_28							,__lowerCamelCase		:					Any=False							,__lowerCamelCase		:					List[str]=True							,__lowerCamelCase		:					Any=4							,__lowerCamelCase		:					str="no_norm"							,__lowerCamelCase		:					int=True							,__lowerCamelCase		:					int=None							,**__lowerCamelCase		:					Tuple							,):





								'''simple docstring'''



								super().__init__(pad_token_id=__lowerCamelCase							,**__lowerCamelCase					)

								a		=			vocab_size
								a		=			hidden_size
								a		=			num_hidden_layers
								a		=			num_attention_heads
								a		=			hidden_act
								a		=			intermediate_size
								a		=			hidden_dropout_prob
								a		=			attention_probs_dropout_prob
								a		=			max_position_embeddings
								a		=			type_vocab_size
								a		=			initializer_range
								a		=			layer_norm_eps
								a		=			embedding_size
								a		=			trigram_input
								a		=			use_bottleneck
								a		=			intra_bottleneck_size
								a		=			use_bottleneck_attention
								a		=			key_query_shared_bottleneck
								a		=			num_feedforward_networks
								a		=			normalization_type
								a		=			classifier_activation

								if self.use_bottleneck:
									a		=			intra_bottleneck_size
								else:
									a		=			hidden_size

								a		=			classifier_dropout







class 				lowerCamelCase_     (	a_     ):
							@property
							def  SCREAMING_SNAKE_CASE_ (						self		:					List[str]					):





								'''simple docstring'''



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













import random
import sys

UpperCamelCase__						:      List[str]								=					"""ABCDEFGHIJKLMNOPQRSTUVWXYZ"""





def   SCREAMING_SNAKE_CASE__						(   )   ->  None:


	"""simple docstring"""



	a		=			input('''Enter message: '''  )
	a		=			'''LFWOAYUISVKMNXPBDCRJTQEGHZ'''
	a		=			input('''Encrypt/Decrypt [e/d]: '''  )

	check_valid_key(snake_case_  )

	if resp.lower().startswith('''e'''  ):
		a		=			'''encrypt'''
		a		=			encrypt_message(snake_case_,  snake_case_  )
	elif resp.lower().startswith('''d'''  ):
		a		=			'''decrypt'''
		a		=			decrypt_message(snake_case_,  snake_case_  )

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





def   SCREAMING_SNAKE_CASE__						(   snake_case_  )   ->  None:


	"""simple docstring"""



	a		=			list(snake_case_  )
	a		=			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_,  snake_case_  )   ->  str:


	"""simple docstring"""



	return translate_message(snake_case_,  snake_case_,  '''encrypt'''  )





def   SCREAMING_SNAKE_CASE__						(   snake_case_,  snake_case_  )   ->  str:


	"""simple docstring"""



	return translate_message(snake_case_,  snake_case_,  '''decrypt'''  )





def   SCREAMING_SNAKE_CASE__						(   snake_case_,  snake_case_,  snake_case_  )   ->  str:


	"""simple docstring"""



	a		=			''''''
	a		=			LETTERS
	a		=			key

	if mode == "decrypt":
		a	, a		=			chars_b, chars_a

	for symbol in message:
		if symbol.upper() in chars_a:
			a		=			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:


	"""simple docstring"""



	a		=			list(snake_case_  )
	random.shuffle(snake_case_  )
	return "".join(snake_case_  )


if __name__ == "__main__":
				main()





