





"""simple docstring"""



def 						__lowercase	(  snake_case_    :    str		)  ->str:



    '''simple docstring'''







    __A       :		List[Any]							=	''''''
    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 						__lowercase	(  snake_case_    :    str		)  ->dict[str, str]:



    '''simple docstring'''







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







def 						__lowercase	(  snake_case_    :    str							,snake_case_    :    dict[str, str]		)  ->str:



    '''simple docstring'''







    return "".join(cipher_map.get(snake_case_							,snake_case_		) for ch in message.upper()		)







def 						__lowercase	(  snake_case_    :    str							,snake_case_    :    dict[str, str]		)  ->str:



    '''simple docstring'''







    __A       :		Optional[Any]							=	{v: k for k, v in cipher_map.items()}
    return "".join(rev_cipher_map.get(snake_case_							,snake_case_		) for ch in message.upper()		)







def 						__lowercase	(  )  ->None:



    '''simple docstring'''







    __A       :		Dict							=	input('''Enter message to encode or decode: '''		).strip()
    __A       :		Optional[int]							=	input('''Enter keyword: '''		).strip()
    __A       :		Union[str, Any]							=	input('''Encipher or decipher? E/D:'''		).strip()[0].lower()
    try:
        __A       :		Any							=	{'''e''': encipher, '''d''': decipher}[option]
    except KeyError:
        raise KeyError('''invalid input option'''		)
    __A       :		Union[str, Any]							=	create_cipher_map(snake_case_		)
    print(func(snake_case_							,snake_case_		)		)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()











"""simple docstring"""



import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
       from transformers import AutoModelForSeqaSeqLM, AutoTokenizer






@require_torch
@require_sentencepiece
@require_tokenizers
class 						__snake_case   (						unittest.TestCase	):





 """simple docstring"""


 @slow
 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     __A       :		Any							=	AutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small'''   ,		return_dict=__lowerCamelCase    ).to(__lowerCamelCase    )
     __A       :		Optional[Any]							=	AutoTokenizer.from_pretrained('''google/mt5-small'''    )

     __A       :		Optional[int]							=	tokenizer('''Hello there'''   ,		return_tensors='''pt'''    ).input_ids
     __A       :		str							=	tokenizer('''Hi I am'''   ,		return_tensors='''pt'''    ).input_ids

     __A       :		Any							=	model(input_ids.to(__lowerCamelCase    )   ,		labels=labels.to(__lowerCamelCase    )    ).loss
     __A       :		Tuple							=	-(labels.shape[-1] * loss.item())

     __A       :		int							=	-8_4.9_1_2_7
     self.assertTrue(abs(mtf_score - EXPECTED_SCORE    ) < 1e-4    )




