

'''simple docstring'''





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_							=					{
    """facebook/data2vec-text-base""": """https://huggingface.co/data2vec/resolve/main/config.json""",
}





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):
				lowerCamelCase_							=						'data2vec-text'







				def __init__(					self    :		str		,				UpperCAmelCase__    :		Any=30522		,				UpperCAmelCase__    :		Union[str, Any]=768		,				UpperCAmelCase__    :		Tuple=12		,				UpperCAmelCase__    :		Optional[int]=12		,				UpperCAmelCase__    :		Tuple=3072		,				UpperCAmelCase__    :		Optional[int]="gelu"		,				UpperCAmelCase__    :		int=0.1		,				UpperCAmelCase__    :		Union[str, Any]=0.1		,				UpperCAmelCase__    :		Any=512		,				UpperCAmelCase__    :		Union[str, Any]=2		,				UpperCAmelCase__    :		str=0.02		,				UpperCAmelCase__    :		str=1E-12		,				UpperCAmelCase__    :		Any=1		,				UpperCAmelCase__    :		Dict=0		,				UpperCAmelCase__    :		Any=2		,				UpperCAmelCase__    :		Optional[Any]="absolute"		,				UpperCAmelCase__    :		str=True		,				UpperCAmelCase__    :		Any=None		,				**UpperCAmelCase__    :		List[str]		,				):
										'''simple docstring'''
										super().__init__(pad_token_id=UpperCAmelCase__		,				bos_token_id=UpperCAmelCase__		,				eos_token_id=UpperCAmelCase__		,				**UpperCAmelCase__      )

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





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):







				@property
				def    lowerCamelCase_  (					self    :		str      ):
										'''simple docstring'''
										if self.task == "multiple-choice":
																lowercase   :       Dict								={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
										else:
																lowercase   :       Union[str, Any]								={0: '''batch''', 1: '''sequence'''}
										return OrderedDict(
										    [
										        ('''input_ids''', dynamic_axis),
										        ('''attention_mask''', dynamic_axis),
										    ]      )








'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    int      ,   __magic_name__	:    Optional[Any]	)							->     str:
						lowercase   :       Optional[Any]								=[0 for i in range(r + 1	)]
						# nc0 = 1
						lowercase   :       Optional[Any]								=1
						for i in range(1      ,   n + 1	):
												# to compute current row from previous row.
												lowercase   :       str								=min(__magic_name__      ,   __magic_name__	)
												while j > 0:
																		c[j] += c[j - 1]
																		j -= 1
						return c[r]







print(binomial_coefficient(n=10, r=5))





