


import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
__snake_case            =   {
    "E": 1_2.7_0,
    "T": 9.0_6,
    "A": 8.1_7,
    "O": 7.5_1,
    "I": 6.9_7,
    "N": 6.7_5,
    "S": 6.3_3,
    "H": 6.0_9,
    "R": 5.9_9,
    "D": 4.2_5,
    "L": 4.0_3,
    "C": 2.7_8,
    "U": 2.7_6,
    "M": 2.4_1,
    "W": 2.3_6,
    "F": 2.2_3,
    "G": 2.0_2,
    "Y": 1.9_7,
    "P": 1.9_3,
    "B": 1.2_9,
    "V": 0.9_8,
    "K": 0.7_7,
    "J": 0.1_5,
    "X": 0.1_5,
    "Q": 0.1_0,
    "Z": 0.0_7,
}
__snake_case            =   "ETAOINSHRDLCUMWFGYPBVKJXQZ"
__snake_case            =   "ABCDEFGHIJKLMNOPQRSTUVWXYZ"






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		str	):





			"""simple docstring"""




			UpperCamelCase         =					{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 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		tuple	):





			"""simple docstring"""




			return x[0]






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		str	):





			"""simple docstring"""




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

			UpperCamelCase         =					{}

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

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

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

			return "".join(SCREAMING_SNAKE_CASE_	)






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		str	):





			"""simple docstring"""




			UpperCamelCase         =					get_frequency_order(SCREAMING_SNAKE_CASE_	)
			UpperCamelCase         =					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()








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


__snake_case            =   logging.get_logger(__name__)

__snake_case            =   {
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}




class    UpperCAmelCase					(       __snake_case    ):
			lowercase						= """lilt"""




			def __init__(						self							:		Tuple       ,       __magic_name__							:		Tuple=3_0_5_2_2       ,       __magic_name__							:		List[str]=7_6_8       ,       __magic_name__							:		Optional[Any]=1_2       ,       __magic_name__							:		str=1_2       ,       __magic_name__							:		Tuple=3_0_7_2       ,       __magic_name__							:		List[Any]="gelu"       ,       __magic_name__							:		Dict=0.1       ,       __magic_name__							:		str=0.1       ,       __magic_name__							:		Dict=5_1_2       ,       __magic_name__							:		Any=2       ,       __magic_name__							:		Optional[int]=0.02       ,       __magic_name__							:		Optional[int]=1e-12       ,       __magic_name__							:		Optional[int]=0       ,       __magic_name__							:		List[str]="absolute"       ,       __magic_name__							:		List[Any]=None       ,       __magic_name__							:		str=4       ,       __magic_name__							:		Any=1_0_2_4       ,       **__magic_name__							:		List[str]       ,       ):







						"""simple docstring"""







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

						UpperCamelCase         =					vocab_size
						UpperCamelCase         =					hidden_size
						UpperCamelCase         =					num_hidden_layers
						UpperCamelCase         =					num_attention_heads
						UpperCamelCase         =					hidden_act
						UpperCamelCase         =					intermediate_size
						UpperCamelCase         =					hidden_dropout_prob
						UpperCamelCase         =					attention_probs_dropout_prob
						UpperCamelCase         =					max_position_embeddings
						UpperCamelCase         =					type_vocab_size
						UpperCamelCase         =					initializer_range
						UpperCamelCase         =					layer_norm_eps
						UpperCamelCase         =					position_embedding_type
						UpperCamelCase         =					classifier_dropout
						UpperCamelCase         =					channel_shrink_ratio
						UpperCamelCase         =					max_ad_position_embeddings




