






'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_A	:			str         =logging.get_logger(__name__)

_A	:			int         ={
    '''YituTech/conv-bert-base''': '''https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json''',
    '''YituTech/conv-bert-medium-small''': (
        '''https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'''
    ),
    '''YituTech/conv-bert-small''': '''https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json''',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}

class _lowercase	(				_lowercase		):
							a				      =       """convbert"""




							def __init__(							self:				Tuple			,							UpperCamelCase__:				List[str]=30_522			,							UpperCamelCase__:				List[Any]=768			,							UpperCamelCase__:				Union[str, Any]=12			,							UpperCamelCase__:				Optional[int]=12			,							UpperCamelCase__:				Optional[int]=3_072			,							UpperCamelCase__:				Tuple="gelu"			,							UpperCamelCase__:				Any=0.1			,							UpperCamelCase__:				Tuple=0.1			,							UpperCamelCase__:				Dict=512			,							UpperCamelCase__:				Optional[int]=2			,							UpperCamelCase__:				Dict=0.02			,							UpperCamelCase__:				Tuple=1e-12			,							UpperCamelCase__:				Tuple=1			,							UpperCamelCase__:				Optional[Any]=0			,							UpperCamelCase__:				Optional[Any]=2			,							UpperCamelCase__:				str=768			,							UpperCamelCase__:				Union[str, Any]=2			,							UpperCamelCase__:				Any=9			,							UpperCamelCase__:				Optional[Any]=1			,							UpperCamelCase__:				Any=None			,							**UpperCamelCase__:				List[Any]			,							):
														super().__init__(
														    pad_token_id=UpperCamelCase__			,							bos_token_id=UpperCamelCase__			,							eos_token_id=UpperCamelCase__			,							**UpperCamelCase__			,							)

														lowerCamelCase__					:	Any         =       vocab_size
														lowerCamelCase__					:	List[Any]         =       hidden_size
														lowerCamelCase__					:	Union[str, Any]         =       num_hidden_layers
														lowerCamelCase__					:	List[Any]         =       num_attention_heads
														lowerCamelCase__					:	Tuple         =       intermediate_size
														lowerCamelCase__					:	Optional[Any]         =       hidden_act
														lowerCamelCase__					:	Optional[int]         =       hidden_dropout_prob
														lowerCamelCase__					:	str         =       attention_probs_dropout_prob
														lowerCamelCase__					:	Optional[Any]         =       max_position_embeddings
														lowerCamelCase__					:	Optional[Any]         =       type_vocab_size
														lowerCamelCase__					:	List[Any]         =       initializer_range
														lowerCamelCase__					:	List[str]         =       layer_norm_eps
														lowerCamelCase__					:	List[str]         =       embedding_size
														lowerCamelCase__					:	Optional[Any]         =       head_ratio
														lowerCamelCase__					:	int         =       conv_kernel_size
														lowerCamelCase__					:	Optional[int]         =       num_groups
														lowerCamelCase__					:	Optional[int]         =       classifier_dropout



class _lowercase	(				_lowercase		):




							@property
							def 		lowerCamelCase_				(							self:				Dict     ):
														if self.task == "multiple-choice":
																					lowerCamelCase__					:	Tuple         =       {0: """batch""", 1: """choice""", 2: """sequence"""}
														else:
																					lowerCamelCase__					:	Any         =       {0: """batch""", 1: """sequence"""}
														return OrderedDict(
														    [
														        ("""input_ids""", dynamic_axis),
														        ("""attention_mask""", dynamic_axis),
														        ("""token_type_ids""", dynamic_axis),
														    ]     )







import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
__A        =    {
    "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,
}
__A        =    "ETAOINSHRDLCUMWFGYPBVKJXQZ"
__A        =    "ABCDEFGHIJKLMNOPQRSTUVWXYZ"







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       dict[str, int]:





				"""simple docstring"""


				__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 			lowerCamelCase_		(       UpperCamelCase__				:      tuple      )     ->       str:





				"""simple docstring"""


				return x[0]







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       str:





				"""simple docstring"""


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

				__lowerCamelCase		       =    {}

				for freq in freq_to_letter:
								freq_to_letter[freq].sort(key=ETAOIN.find ,     reverse=UpperCamelCase__      )
								__lowerCamelCase		       =    ''.join(freq_to_letter[freq]      )

				__lowerCamelCase		       =    list(freq_to_letter_str.items()      )
				freq_pairs.sort(key=UpperCamelCase__ ,     reverse=UpperCamelCase__      )

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

				return "".join(UpperCamelCase__      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       int:





				"""simple docstring"""


				__lowerCamelCase		       =    get_frequency_order(UpperCamelCase__      )
				__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()


