




'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


a  :				Optional[int]									=  logging.get_logger(__name__)

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






class 						a				(   _lowerCamelCase     ):
				snake_case_      =		"roberta-prelayernorm"


				def __init__(		self    :					List[str]       ,				lowercase_    :					Union[str, Any]=5_0265       ,				lowercase_    :					Any=768       ,				lowercase_    :					Tuple=12       ,				lowercase_    :					int=12       ,				lowercase_    :					Dict=3072       ,				lowercase_    :					Any="gelu"       ,				lowercase_    :					Dict=0.1       ,				lowercase_    :					int=0.1       ,				lowercase_    :					List[Any]=512       ,				lowercase_    :					Any=2       ,				lowercase_    :					str=0.02       ,				lowercase_    :					Union[str, Any]=1e-12       ,				lowercase_    :					Tuple=1       ,				lowercase_    :					Optional[int]=0       ,				lowercase_    :					List[str]=2       ,				lowercase_    :					str="absolute"       ,				lowercase_    :					Tuple=True       ,				lowercase_    :					Any=None       ,				**lowercase_    :					Union[str, Any]       ,				):
									super().__init__(pad_token_id=lowercase_       ,				bos_token_id=lowercase_       ,				eos_token_id=lowercase_       ,				**lowercase_					)

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







class 						a				(   _lowerCamelCase     ):


				@property
				def   A_ (		self    :					Optional[int]					):
									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 re


def 		__magic_name__    (	__UpperCAmelCase	)		->					bool:

					'''simple docstring'''

					snake_case_									=				re.compile(
					    r'''^(?:0|94|\+94|0{2}94)''' r'''7(0|1|2|4|5|6|7|8)''' r'''(-| |)''' r'''\d{7}$'''	)

					return bool(re.search(__UpperCAmelCase,      __UpperCAmelCase	)	)


if __name__ == "__main__":
							a  :				Any									=  '0094702343221'

							print(is_sri_lankan_phone_number(phone))

