



def 		a__			(		_UpperCamelCase			: List[str]							):
			__lowerCamelCase													=    ''''''
			for ch in key:
						if ch == " " or ch not in key_no_dups and ch.isalpha():
									key_no_dups += ch
			return key_no_dups





def 		a__			(		_UpperCamelCase			: Optional[Any]							):
			__lowerCamelCase													=    [chr(i + 65							) for i in range(26							)]
			# Remove duplicate characters from key
			__lowerCamelCase													=    remove_duplicates(key.upper()							)
			__lowerCamelCase													=    len(lowerCamelCase__							)
			# First fill cipher with key characters
			__lowerCamelCase													=    {alphabet[i]: char for i, char in enumerate(lowerCamelCase__							)}
			# Then map remaining characters in alphabet to
			# the alphabet from the beginning
			for i in range(len(lowerCamelCase__							) ,26							):
						__lowerCamelCase													=    alphabet[i - offset]
						# Ensure we are not mapping letters to letters previously mapped
						while char in key:
									offset -= 1
									__lowerCamelCase													=    alphabet[i - offset]
						__lowerCamelCase													=    char
			return cipher_alphabet





def 		a__			(		_UpperCamelCase			: str ,_UpperCamelCase			: Dict							):
			return "".join(cipher_map.get(lowerCamelCase__ ,lowerCamelCase__							) for ch in message.upper()							)





def 		a__			(		_UpperCamelCase			: int ,_UpperCamelCase			: int							):
			__lowerCamelCase													=    {v: k for k, v in cipher_map.items()}
			return "".join(rev_cipher_map.get(lowerCamelCase__ ,lowerCamelCase__							) for ch in message.upper()							)





def 		a__			(		):
			__lowerCamelCase													=    input('''Enter message to encode or decode: '''							).strip()
			__lowerCamelCase													=    input('''Enter keyword: '''							).strip()
			__lowerCamelCase													=    input('''Encipher or decipher? E/D:'''							).strip()[0].lower()
			try:
						__lowerCamelCase													=    {'''e''': encipher, '''d''': decipher}[option]
			except KeyError:
						raise KeyError('''invalid input option'''							)
			__lowerCamelCase													=    create_cipher_map(lowerCamelCase__							)
			print(func(lowerCamelCase__ ,lowerCamelCase__							)							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()











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


a_			=					logging.get_logger(__name__)

a_			=					{
    """uclanlp/visualbert-vqa""": """https://huggingface.co/uclanlp/visualbert-vqa/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-pre""": """https://huggingface.co/uclanlp/visualbert-vqa-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vqa-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vqa-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-vcr""": """https://huggingface.co/uclanlp/visualbert-vcr/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-pre""": """https://huggingface.co/uclanlp/visualbert-vcr-pre/resolve/main/config.json""",
    """uclanlp/visualbert-vcr-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-vcr-coco-pre/resolve/main/config.json"""
    ),
    """uclanlp/visualbert-nlvr2""": """https://huggingface.co/uclanlp/visualbert-nlvr2/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-pre""": """https://huggingface.co/uclanlp/visualbert-nlvr2-pre/resolve/main/config.json""",
    """uclanlp/visualbert-nlvr2-coco-pre""": (
        """https://huggingface.co/uclanlp/visualbert-nlvr2-coco-pre/resolve/main/config.json"""
    )
    # See all VisualBERT models at https://huggingface.co/models?filter=visual_bert
}



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
 lowerCAmelCase__       					=  """visual_bert"""




 def __init__(						self	,				__UpperCAmelCase=30522	,				__UpperCAmelCase=768	,				__UpperCAmelCase=512	,				__UpperCAmelCase=12	,				__UpperCAmelCase=12	,				__UpperCAmelCase=3072	,				__UpperCAmelCase="gelu"	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=512	,				__UpperCAmelCase=2	,				__UpperCAmelCase=0.02	,				__UpperCAmelCase=1E-1_2	,				__UpperCAmelCase=False	,				__UpperCAmelCase=True	,				__UpperCAmelCase=1	,				__UpperCAmelCase=0	,				__UpperCAmelCase=2	,				**__UpperCAmelCase	,				):



    '''simple docstring'''
    super().__init__(pad_token_id=__UpperCAmelCase	,				bos_token_id=__UpperCAmelCase	,				eos_token_id=__UpperCAmelCase	,				**__UpperCAmelCase				)

    __lowerCamelCase													=    vocab_size
    __lowerCamelCase													=    max_position_embeddings
    __lowerCamelCase													=    hidden_size
    __lowerCamelCase													=    visual_embedding_dim
    __lowerCamelCase													=    num_hidden_layers
    __lowerCamelCase													=    num_attention_heads
    __lowerCamelCase													=    intermediate_size
    __lowerCamelCase													=    hidden_act
    __lowerCamelCase													=    hidden_dropout_prob
    __lowerCamelCase													=    attention_probs_dropout_prob
    __lowerCamelCase													=    initializer_range
    __lowerCamelCase													=    type_vocab_size
    __lowerCamelCase													=    layer_norm_eps
    __lowerCamelCase													=    bypass_transformer
    __lowerCamelCase													=    special_visual_initialize






