



"""simple docstring"""
from collections import OrderedDict
from typing import Mapping

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


__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE  :						Any    							=      {
    '''andreasmadsen/efficient_mlm_m0.40''': (
        '''https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'''
    ),
}


class 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					lowercase__   :       List[str]										= 'roberta-prelayernorm'

					def __init__(    self				,       lowerCamelCase__=5_0_2_6_5				,       lowerCamelCase__=7_6_8				,       lowerCamelCase__=1_2				,       lowerCamelCase__=1_2				,       lowerCamelCase__=3_0_7_2				,       lowerCamelCase__="gelu"				,       lowerCamelCase__=0.1				,       lowerCamelCase__=0.1				,       lowerCamelCase__=5_1_2				,       lowerCamelCase__=2				,       lowerCamelCase__=0.0_2				,       lowerCamelCase__=1e-12				,       lowerCamelCase__=1				,       lowerCamelCase__=0				,       lowerCamelCase__=2				,       lowerCamelCase__="absolute"				,       lowerCamelCase__=True				,       lowerCamelCase__=None				,       **lowerCamelCase__				,       ):
									super().__init__(pad_token_id=lowerCamelCase__				,       bos_token_id=lowerCamelCase__				,       eos_token_id=lowerCamelCase__				,       **lowerCamelCase__   )

									_lowerCamelCase        =				vocab_size
									_lowerCamelCase        =				hidden_size
									_lowerCamelCase        =				num_hidden_layers
									_lowerCamelCase        =				num_attention_heads
									_lowerCamelCase        =				hidden_act
									_lowerCamelCase        =				intermediate_size
									_lowerCamelCase        =				hidden_dropout_prob
									_lowerCamelCase        =				attention_probs_dropout_prob
									_lowerCamelCase        =				max_position_embeddings
									_lowerCamelCase        =				type_vocab_size
									_lowerCamelCase        =				initializer_range
									_lowerCamelCase        =				layer_norm_eps
									_lowerCamelCase        =				position_embedding_type
									_lowerCamelCase        =				use_cache
									_lowerCamelCase        =				classifier_dropout


class 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					@property
					def 			snake_case__      (    self   ):
									if self.task == "multiple-choice":
													_lowerCamelCase        =				{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
									else:
													_lowerCamelCase        =				{0: '''batch''', 1: '''sequence'''}
									return OrderedDict(
									    [
									        ('''input_ids''', dynamic_axis),
									        ('''attention_mask''', dynamic_axis),
									    ]   )





"""simple docstring"""
def        lowerCAmelCase_(   lowercase_     :							str						,   lowercase_     :							str							)	->       bool:
				_lowerCamelCase        =				len(lowercase_							)
				_lowerCamelCase        =				len(lowercase_							)
				_lowerCamelCase        =				[[False for _ in range(m + 1							)] for _ in range(n + 1							)]
				_lowerCamelCase        =				True
				for i in range(lowercase_							):
								for j in range(m + 1							):
												if dp[i][j]:
																if j < m and a[i].upper() == b[j]:
																				_lowerCamelCase        =				True
																if a[i].islower():
																				_lowerCamelCase        =				True
				return dp[n][m]


if __name__ == "__main__":
			import doctest

			doctest.testmod()
