






from collections import OrderedDict
from typing import Mapping

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


__UpperCAmelCase     							=						logging.get_logger(__name__)

__UpperCAmelCase     							=						{
    'kssteven/ibert-roberta-base': 'https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json',
    'kssteven/ibert-roberta-large': 'https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json',
    'kssteven/ibert-roberta-large-mnli': (
        'https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'
    ),
}



class   lowerCamelCase				(_snake_case      ):







		'''simple docstring'''



		_snake_case   :   List[Any]							=  '''ibert'''



		def __init__(							self    ,		_UpperCamelCase=3_0_5_2_2    ,		_UpperCamelCase=7_6_8    ,		_UpperCamelCase=1_2    ,		_UpperCamelCase=1_2    ,		_UpperCamelCase=3_0_7_2    ,		_UpperCamelCase="gelu"    ,		_UpperCamelCase=0.1    ,		_UpperCamelCase=0.1    ,		_UpperCamelCase=5_1_2    ,		_UpperCamelCase=2    ,		_UpperCamelCase=0.02    ,		_UpperCamelCase=1E-12    ,		_UpperCamelCase=1    ,		_UpperCamelCase=0    ,		_UpperCamelCase=2    ,		_UpperCamelCase="absolute"    ,		_UpperCamelCase=False    ,		_UpperCamelCase="none"    ,		**_UpperCamelCase    ,		)     ->							List[Any]:
							super().__init__(pad_token_id=_UpperCamelCase    ,		bos_token_id=_UpperCamelCase    ,		eos_token_id=_UpperCamelCase    ,		**_UpperCamelCase       )

							UpperCAmelCase_   :				str						=						vocab_size
							UpperCAmelCase_   :				Union[str, Any]						=						hidden_size
							UpperCAmelCase_   :				Tuple						=						num_hidden_layers
							UpperCAmelCase_   :				Any						=						num_attention_heads
							UpperCAmelCase_   :				int						=						hidden_act
							UpperCAmelCase_   :				Optional[int]						=						intermediate_size
							UpperCAmelCase_   :				List[Any]						=						hidden_dropout_prob
							UpperCAmelCase_   :				Union[str, Any]						=						attention_probs_dropout_prob
							UpperCAmelCase_   :				Optional[int]						=						max_position_embeddings
							UpperCAmelCase_   :				List[Any]						=						type_vocab_size
							UpperCAmelCase_   :				Optional[Any]						=						initializer_range
							UpperCAmelCase_   :				Tuple						=						layer_norm_eps
							UpperCAmelCase_   :				Tuple						=						position_embedding_type
							UpperCAmelCase_   :				str						=						quant_mode
							UpperCAmelCase_   :				Tuple						=						force_dequant





class   lowerCamelCase				(_snake_case      ):







		'''simple docstring'''



		@property
		def  __UpperCAmelCase      (							self       )     ->							Mapping[str, Mapping[int, str]]:
							if self.task == "multiple-choice":
												UpperCAmelCase_   :				List[str]						=						{0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
												UpperCAmelCase_   :				Optional[Any]						=						{0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ('input_ids', dynamic_axis),
							        ('attention_mask', dynamic_axis),
							    ]       )











def 					lowercase__				(					__snake_case   :							int  ):


					'''simple docstring'''


					UpperCAmelCase_   :				Tuple						=						[1]

					UpperCAmelCase_	,  UpperCAmelCase_	,  UpperCAmelCase_   :				Tuple						=						0, 0, 0
					UpperCAmelCase_   :				Union[str, Any]						=						ugly_nums[ia] * 2
					UpperCAmelCase_   :				Tuple						=						ugly_nums[ia] * 3
					UpperCAmelCase_   :				Union[str, Any]						=						ugly_nums[ia] * 5

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


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

		testmod(verbose=True)
		print(F'{ugly_numbers(200) = }')






