






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     							=						{
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}



class   lowerCamelCase				(_snake_case      ):







		'''simple docstring'''



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



		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=7_6_8    ,		_UpperCamelCase=2    ,		_UpperCamelCase=9    ,		_UpperCamelCase=1    ,		_UpperCamelCase=None    ,		**_UpperCamelCase    ,		)     ->							Any:
							super().__init__(
							    pad_token_id=_UpperCamelCase    ,		bos_token_id=_UpperCamelCase    ,		eos_token_id=_UpperCamelCase    ,		**_UpperCamelCase    ,		)

							UpperCAmelCase_   :				Dict						=						vocab_size
							UpperCAmelCase_   :				List[str]						=						hidden_size
							UpperCAmelCase_   :				int						=						num_hidden_layers
							UpperCAmelCase_   :				Union[str, Any]						=						num_attention_heads
							UpperCAmelCase_   :				Dict						=						intermediate_size
							UpperCAmelCase_   :				List[str]						=						hidden_act
							UpperCAmelCase_   :				Any						=						hidden_dropout_prob
							UpperCAmelCase_   :				Dict						=						attention_probs_dropout_prob
							UpperCAmelCase_   :				str						=						max_position_embeddings
							UpperCAmelCase_   :				Dict						=						type_vocab_size
							UpperCAmelCase_   :				Dict						=						initializer_range
							UpperCAmelCase_   :				Optional[int]						=						layer_norm_eps
							UpperCAmelCase_   :				Any						=						embedding_size
							UpperCAmelCase_   :				List[Any]						=						head_ratio
							UpperCAmelCase_   :				int						=						conv_kernel_size
							UpperCAmelCase_   :				Optional[Any]						=						num_groups
							UpperCAmelCase_   :				str						=						classifier_dropout





class   lowerCamelCase				(_snake_case      ):







		'''simple docstring'''



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














def 					lowercase__				(					__snake_case   :							List[str]					,	__snake_case   :							List[str]					,	__snake_case   :							Union[str, Any]					,	__snake_case   :							Optional[int]					,	__snake_case   :							str					,	__snake_case   :							Optional[Any]  ):


					'''simple docstring'''


					if index == r:
										for j in range(__snake_case  ):
															print(data[j]					,	end=' '  )
										print(' '  )
										return
					#  When no more elements are there to put in data[]
					if i >= n:
										return
					# current is included, put next at next location
					UpperCAmelCase_   :				int						=						arr[i]
					combination_util(__snake_case					,	__snake_case					,	__snake_case					,	index + 1					,	__snake_case					,	i + 1  )
					# current is excluded, replace it with
					# next (Note that i+1 is passed, but
					# index is not changed)
					combination_util(__snake_case					,	__snake_case					,	__snake_case					,	__snake_case					,	__snake_case					,	i + 1  )
					# The main function that prints all combinations
					# of size r in arr[] of size n. This function
					# mainly uses combinationUtil()




def 					lowercase__				(					__snake_case   :							List[Any]					,	__snake_case   :							List[Any]					,	__snake_case   :							str  ):


					'''simple docstring'''


					UpperCAmelCase_   :				Union[str, Any]						=						[0] * r
					# Print all combination using temporary array 'data[]'
					combination_util(__snake_case					,	__snake_case					,	__snake_case					,	0					,	__snake_case					,	0  )


if __name__ == "__main__":
		# Driver code to check the function above
		__UpperCAmelCase     							=						[10, 20, 30, 40, 50]
		print_combination(arr, len(arr), 3)
		# This code is contributed by Ambuj sahu






