




'''simple docstring'''





import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
UpperCamelCase__					    =    {
    """E""": 12.70,
    """T""": 9.06,
    """A""": 8.17,
    """O""": 7.51,
    """I""": 6.97,
    """N""": 6.75,
    """S""": 6.33,
    """H""": 6.09,
    """R""": 5.99,
    """D""": 4.25,
    """L""": 4.03,
    """C""": 2.78,
    """U""": 2.76,
    """M""": 2.41,
    """W""": 2.36,
    """F""": 2.23,
    """G""": 2.02,
    """Y""": 1.97,
    """P""": 1.93,
    """B""": 1.29,
    """V""": 0.98,
    """K""": 0.77,
    """J""": 0.15,
    """X""": 0.15,
    """Q""": 0.10,
    """Z""": 0.07,
}
UpperCamelCase__					    =    """ETAOINSHRDLCUMWFGYPBVKJXQZ"""
UpperCamelCase__					    =    """ABCDEFGHIJKLMNOPQRSTUVWXYZ"""







def 			_a   (		SCREAMING_SNAKE_CASE_							:       str  ):
					__lowerCAmelCase            = {letter: 0 for letter in string.ascii_uppercase}
					for letter in message.upper():
										if letter in LETTERS:
															letter_count[letter] += 1

					return letter_count







def 			_a   (		SCREAMING_SNAKE_CASE_							:       tuple  ):
					return x[0]







def 			_a   (		SCREAMING_SNAKE_CASE_							:       str  ):
					__lowerCAmelCase            = get_letter_count(SCREAMING_SNAKE_CASE_  )
					__lowerCAmelCase            = {
					    freq: [] for letter, freq in letter_to_freq.items()
					}
					for letter in LETTERS:
										freq_to_letter[letter_to_freq[letter]].append(SCREAMING_SNAKE_CASE_  )

					__lowerCAmelCase            = {}

					for freq in freq_to_letter:
										freq_to_letter[freq].sort(key=ETAOIN.find   ,   reverse=SCREAMING_SNAKE_CASE_  )
										__lowerCAmelCase            = "".join(freq_to_letter[freq]  )

					__lowerCAmelCase            = list(freq_to_letter_str.items()  )
					freq_pairs.sort(key=SCREAMING_SNAKE_CASE_   ,   reverse=SCREAMING_SNAKE_CASE_  )

					__lowerCAmelCase            = [freq_pair[1] for freq_pair in freq_pairs]

					return "".join(SCREAMING_SNAKE_CASE_  )







def 			_a   (		SCREAMING_SNAKE_CASE_							:       str  ):
					__lowerCAmelCase            = get_frequency_order(SCREAMING_SNAKE_CASE_  )
					__lowerCAmelCase            = 0
					for common_letter in ETAOIN[:6]:
										if common_letter in freq_order[:6]:
															match_score += 1

					for uncommon_letter in ETAOIN[-6:]:
										if uncommon_letter in freq_order[-6:]:
															match_score += 1

					return match_score


if __name__ == "__main__":
					import doctest

					doctest.testmod()










import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel
class     a__					(      snake_case__   ):
						_a							:					Optional[Any]      =					"""M-CLIP"""






						def __init__(     self	,    _A=1_0_2_4	,    _A=7_6_8	,    **_A    ):




											"""simple docstring"""



											__lowerCAmelCase            = transformerDimSize
											__lowerCAmelCase            = imageDimSize
											super().__init__(**_A    )






class     a__					(      snake_case__   ):
						_a							:					Tuple      =					MCLIPConfig






						def __init__(     self	,    _A	,    *_A	,    **_A    ):




											"""simple docstring"""



											super().__init__(_A	,    *_A	,    **_A    )
											__lowerCAmelCase            = XLMRobertaModel(_A    )
											__lowerCAmelCase            = torch.nn.Linear(
											    in_features=config.transformerDimensions	,    out_features=config.numDims    )






						def        __SCREAMING_SNAKE_CASE(     self	,    _A	,    _A    ):




											"""simple docstring"""



											__lowerCAmelCase            = self.transformer(input_ids=_A	,    attention_mask=_A    )[0]
											__lowerCAmelCase            = (embs * attention_mask.unsqueeze(2    )).sum(dim=1    ) / attention_mask.sum(dim=1    )[:, None]
											return self.LinearTransformation(_A    ), embs




