



'''simple docstring'''


from string import ascii_uppercase

lowercase_      :				List[Any]   					=    {char: i for i, char in enumerate(ascii_uppercase)}
lowercase_      :				List[Any]   					=    dict(enumerate(ascii_uppercase))







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str ,  lowercase_    :      str						):
						lowercase        =							len(lowercase_						)
						lowercase        =							0
						while True:
												if x == i:
																		lowercase        =							0
												if len(lowercase_						) == len(lowercase_						):
																		break
												key += key[i]
												i += 1
						return key







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str ,  lowercase_    :      str						):
						lowercase        =							""""""
						lowercase        =							0
						for letter in message:
												if letter == " ":
																		cipher_text += " "
												else:
																		lowercase        =							(dicta[letter] - dicta[key_new[i]]) % 26
																		i += 1
																		cipher_text += dicta[x]
						return cipher_text







def      SCREAMING_SNAKE_CASE				(				lowercase_    :      str ,  lowercase_    :      str						):
						lowercase        =							""""""
						lowercase        =							0
						for letter in cipher_text:
												if letter == " ":
																		or_txt += " "
												else:
																		lowercase        =							(dicta[letter] + dicta[key_new[i]] + 26) % 26
																		i += 1
																		or_txt += dicta[x]
						return or_txt







def      SCREAMING_SNAKE_CASE				(				):
						lowercase        =							"""THE GERMAN ATTACK"""
						lowercase        =							"""SECRET"""
						lowercase        =							generate_key(lowercase_ ,  lowercase_						)
						lowercase        =							cipher_text(lowercase_ ,  lowercase_						)
						print(F"""Encrypted Text = {s}"""						)
						print(F"""Original Text = {original_text(lowercase_ ,  lowercase_						)}"""						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()







'''simple docstring'''


from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_      :				Optional[Any]   					=    logging.get_logger(__name__)

lowercase_      :				int   					=    {
    '''bigcode/gpt_bigcode-santacoder''': '''https://huggingface.co/bigcode/gpt_bigcode-santacoder/resolve/main/config.json''',
}




class      __UpperCamelCase       (_UpperCAmelCase			):
	__A			  =					'''gpt_bigcode'''
	__A			  =					['''past_key_values''']
	__A			  =					{
	    '''hidden_size''': '''n_embd''',
	    '''max_position_embeddings''': '''n_positions''',
	    '''num_attention_heads''': '''n_head''',
	    '''num_hidden_layers''': '''n_layer''',
	}







	def __init__(    self ,				_lowerCAmelCase=5_0257 ,				_lowerCAmelCase=1024 ,				_lowerCAmelCase=768 ,				_lowerCAmelCase=12 ,				_lowerCAmelCase=12 ,				_lowerCAmelCase=None ,				_lowerCAmelCase="gelu_pytorch_tanh" ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=0.1 ,				_lowerCAmelCase=1E-5 ,				_lowerCAmelCase=0.02 ,				_lowerCAmelCase=True ,				_lowerCAmelCase=True ,				_lowerCAmelCase=5_0256 ,				_lowerCAmelCase=5_0256 ,				_lowerCAmelCase=True ,				_lowerCAmelCase=True ,				_lowerCAmelCase=True ,				**_lowerCAmelCase ,				)    ->    Optional[int]:
							'''simple docstring'''






							lowercase        =							vocab_size
							lowercase        =							n_positions
							lowercase        =							n_embd
							lowercase        =							n_layer
							lowercase        =							n_head
							lowercase        =							n_inner
							lowercase        =							activation_function
							lowercase        =							resid_pdrop
							lowercase        =							embd_pdrop
							lowercase        =							attn_pdrop
							lowercase        =							layer_norm_epsilon
							lowercase        =							initializer_range
							lowercase        =							scale_attn_weights
							lowercase        =							use_cache
							lowercase        =							attention_softmax_in_fpaa
							lowercase        =							scale_attention_softmax_in_fpaa
							lowercase        =							multi_query

							lowercase        =							bos_token_id
							lowercase        =							eos_token_id

							super().__init__(bos_token_id=_lowerCAmelCase ,				eos_token_id=_lowerCAmelCase ,				**_lowerCAmelCase						)


