




'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

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


_lowerCamelCase							:						Any							     =  logging.get_logger(__name__)

_lowerCamelCase							:						List[str]							     =  {
    'mnaylor/mega-base-wikitext': 'https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json',
}





class 					lowerCamelCase_							(	UpperCAmelCase_							):




					'''simple docstring'''






					lowercase__   =			"""mega"""






					def __init__(   self,  __UpperCamelCase=30_522,  __UpperCamelCase=128,  __UpperCamelCase=4,  __UpperCamelCase=256,  __UpperCamelCase=16,  __UpperCamelCase=True,  __UpperCamelCase=64,  __UpperCamelCase=False,  __UpperCamelCase=-1,  __UpperCamelCase=None,  __UpperCamelCase=True,  __UpperCamelCase="scalenorm",  __UpperCamelCase=True,  __UpperCamelCase="silu",  __UpperCamelCase="softmax",  __UpperCamelCase=0.1,  __UpperCamelCase=0.1,  __UpperCamelCase=0.1,  __UpperCamelCase=False,  __UpperCamelCase=True,  __UpperCamelCase=256,  __UpperCamelCase=True,  __UpperCamelCase=0.1,  __UpperCamelCase=2_048,  __UpperCamelCase=False,  __UpperCamelCase=2,  __UpperCamelCase=0.02,  __UpperCamelCase=0.2,  __UpperCamelCase=0.02,  __UpperCamelCase=1.0,  __UpperCamelCase=1,  __UpperCamelCase=0,  __UpperCamelCase=2,  __UpperCamelCase="rotary",  __UpperCamelCase=None,  __UpperCamelCase=True,  __UpperCamelCase=True,  **__UpperCamelCase,  ):
							super().__init__(pad_token_id=__UpperCamelCase,  bos_token_id=__UpperCamelCase,  eos_token_id=__UpperCamelCase,  **__UpperCamelCase			)

							_snake_case     	=	vocab_size
							_snake_case     	=	hidden_size
							_snake_case     	=	num_hidden_layers
							_snake_case     	=	activation
							_snake_case     	=	attention_activation
							_snake_case     	=	intermediate_size
							_snake_case     	=	ema_projection_size
							_snake_case     	=	bidirectional
							_snake_case     	=	shared_representation_size
							_snake_case     	=	use_chunking
							_snake_case     	=	chunk_size
							_snake_case     	=	truncation
							_snake_case     	=	normalize_before_mega
							_snake_case     	=	normalization_type
							_snake_case     	=	norm_affine
							_snake_case     	=	dropout_prob
							_snake_case     	=	hidden_dropout_prob
							_snake_case     	=	attention_probs_dropout_prob
							_snake_case     	=	use_feature_dropout
							_snake_case     	=	use_normalized_ffn
							_snake_case     	=	nffn_hidden_size
							_snake_case     	=	normalize_before_ffn
							_snake_case     	=	nffn_activation_dropout_prob
							_snake_case     	=	max_positions
							_snake_case     	=	add_token_type_embeddings
							_snake_case     	=	type_vocab_size
							_snake_case     	=	initializer_range
							_snake_case     	=	ema_delta_alpha_range
							_snake_case     	=	ema_beta_range
							_snake_case     	=	ema_gamma_omega_range
							_snake_case     	=	relative_positional_bias
							_snake_case     	=	use_cache
							_snake_case     	=	classifier_dropout
							_snake_case     	=	add_lm_hidden_dense_layer
							_snake_case     	=	1  # not used but required by Hugging Face





class 					lowerCamelCase_							(	UpperCAmelCase_							):




					'''simple docstring'''






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











'''simple docstring'''







import math





class 					lowerCamelCase_							:




					'''simple docstring'''






					def __init__(   self,  __UpperCamelCase,  __UpperCamelCase,  __UpperCamelCase			):
							_snake_case     	=	x
							_snake_case     	=	y
							_snake_case     	=	z






					def __repr__(   self			):
							return f'''Point({self.x}, {self.y}, {self.z})'''






def 		_lowercase		(     lowercase_						,							lowercase_  ):



		'''simple docstring'''







		return math.sqrt(abs((b.x - a.x) ** 2 + (b.y - a.y) ** 2 + (b.z - a.z) ** 2  )  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()





