
from collections import OrderedDict
from typing import Mapping

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


lowercase__		:Tuple   =    logging.get_logger(__name__)

lowercase__		:Optional[int]   =    {
    "andreasmadsen/efficient_mlm_m0.40": (
        "https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"
    ),
}







class 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							lowercase_       :       str       					='''roberta-prelayernorm'''




							def __init__(				self   ,A__=5_0_2_6_5   ,A__=7_6_8   ,A__=1_2   ,A__=1_2   ,A__=3_0_7_2   ,A__="gelu"   ,A__=0.1   ,A__=0.1   ,A__=5_1_2   ,A__=2   ,A__=0.02   ,A__=1E-12   ,A__=1   ,A__=0   ,A__=2   ,A__="absolute"   ,A__=True   ,A__=None   ,**A__   ,):
												super().__init__(pad_token_id=A__   ,bos_token_id=A__   ,eos_token_id=A__   ,**A__)

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







class 				lowercase		(					SCREAMING_SNAKE_CASE__		):




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






def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''

					if edge <= 0 or not isinstance(lowerCAmelCase__ ,			lowerCAmelCase__		):
										raise ValueError('''Length must be a positive.'''		)
					return 3 * ((25 + 10 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''

					if edge <= 0 or not isinstance(lowerCAmelCase__ ,			lowerCAmelCase__		):
										raise ValueError('''Length must be a positive.'''		)
					return ((15 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




