"""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    	=logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE    	={
    'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/config.json',
    'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/config.json',
    'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/config.json',
    'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/config.json',
    'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json',
    'roberta-large-openai-detector': 'https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json',
}







class        UpperCamelCase		(			a__  ):
   lowercase							=  '''roberta'''
   def __init__(			self     ,__UpperCamelCase=5_0265     ,__UpperCamelCase=768     ,__UpperCamelCase=12     ,__UpperCamelCase=12     ,__UpperCamelCase=3072     ,__UpperCamelCase="gelu"     ,__UpperCamelCase=0.1     ,__UpperCamelCase=0.1     ,__UpperCamelCase=512     ,__UpperCamelCase=2     ,__UpperCamelCase=0.02     ,__UpperCamelCase=1e-12     ,__UpperCamelCase=1     ,__UpperCamelCase=0     ,__UpperCamelCase=2     ,__UpperCamelCase="absolute"     ,__UpperCamelCase=True     ,__UpperCamelCase=None     ,**__UpperCamelCase     ,)	->      Tuple:


        '''simple docstring'''


        super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__     ,bos_token_id=SCREAMING_SNAKE_CASE__     ,eos_token_id=SCREAMING_SNAKE_CASE__     ,**SCREAMING_SNAKE_CASE__			)

        lowercase_	:				Dict													=	vocab_size
        lowercase_	:				Union[str, Any]													=	hidden_size
        lowercase_	:				Union[str, Any]													=	num_hidden_layers
        lowercase_	:				Dict													=	num_attention_heads
        lowercase_	:				List[Any]													=	hidden_act
        lowercase_	:				List[str]													=	intermediate_size
        lowercase_	:				str													=	hidden_dropout_prob
        lowercase_	:				List[Any]													=	attention_probs_dropout_prob
        lowercase_	:				Union[str, Any]													=	max_position_embeddings
        lowercase_	:				Tuple													=	type_vocab_size
        lowercase_	:				Any													=	initializer_range
        lowercase_	:				Optional[int]													=	layer_norm_eps
        lowercase_	:				List[str]													=	position_embedding_type
        lowercase_	:				str													=	use_cache
        lowercase_	:				List[Any]													=	classifier_dropout







class        UpperCamelCase		(			a__  ):
   @property
   def 			_UpperCAmelCase   (			self			)	->      Mapping[str, Mapping[int, str]]:


        '''simple docstring'''


        if self.task == "multiple-choice":
             lowercase_	:				Any													=	{0: """batch""", 1: """choice""", 2: """sequence"""}
        else:
             lowercase_	:				Optional[Any]													=	{0: """batch""", 1: """sequence"""}
        return OrderedDict(
            [
                ('input_ids', dynamic_axis),
                ('attention_mask', dynamic_axis),
            ]			)



"""simple docstring"""




def lowercase_  (   _snake_case						):
							SCREAMING_SNAKE_CASE__						:       Optional[int]           =   [1]

							SCREAMING_SNAKE_CASE__      ,      SCREAMING_SNAKE_CASE__      ,      SCREAMING_SNAKE_CASE__						:       str           =   0, 0, 0
							SCREAMING_SNAKE_CASE__						:       List[str]           =   ugly_nums[ia] * 2
							SCREAMING_SNAKE_CASE__						:       int           =   ugly_nums[ia] * 3
							SCREAMING_SNAKE_CASE__						:       Any           =   ugly_nums[ia] * 5

							for _ in range(1   ,_snake_case						):
														SCREAMING_SNAKE_CASE__						:       Union[str, Any]           =   min(_snake_case   ,_snake_case   ,_snake_case						)
														ugly_nums.append(_snake_case						)
														if next_num == next_a:
																					ia += 1
																					SCREAMING_SNAKE_CASE__						:       Optional[int]           =   ugly_nums[ia] * 2
														if next_num == next_a:
																					ia += 1
																					SCREAMING_SNAKE_CASE__						:       List[str]           =   ugly_nums[ia] * 3
														if next_num == next_a:
																					ia += 1
																					SCREAMING_SNAKE_CASE__						:       Tuple           =   ugly_nums[ia] * 5
							return ugly_nums[-1]


if __name__ == "__main__":
					from doctest import testmod

					testmod(verbose=True)
					print(f"""{ugly_numbers(2_0_0) = }""")




