






from collections import OrderedDict
from typing import Mapping

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


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

__magic_name__:					Optional[int]							=     {
    "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 	snake_case__ (							_lowerCAmelCase				):
	lowercase__						:					str											=   '''ibert'''
	def __init__(    self      ,       lowerCAmelCase__=3_05_22      ,       lowerCAmelCase__=7_68      ,       lowerCAmelCase__=12      ,       lowerCAmelCase__=12      ,       lowerCAmelCase__=30_72      ,       lowerCAmelCase__="gelu"      ,       lowerCAmelCase__=0.1      ,       lowerCAmelCase__=0.1      ,       lowerCAmelCase__=5_12      ,       lowerCAmelCase__=2      ,       lowerCAmelCase__=0.0_2      ,       lowerCAmelCase__=1e-1_2      ,       lowerCAmelCase__=1      ,       lowerCAmelCase__=0      ,       lowerCAmelCase__=2      ,       lowerCAmelCase__="absolute"      ,       lowerCAmelCase__=False      ,       lowerCAmelCase__="none"      ,       **lowerCAmelCase__      ,       )							->				Union[str, Any]:
							super().__init__(pad_token_id=lowerCAmelCase__      ,       bos_token_id=lowerCAmelCase__      ,       eos_token_id=lowerCAmelCase__      ,       **lowerCAmelCase__			)

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





class 	snake_case__ (							_lowerCAmelCase				):
	@property
	def       __magic_name__    (    self			)							->				Mapping[str, Mapping[int, str]]:
							if self.task == "multiple-choice":
													__magic_name__      :       List[str]       						= {0: """batch""", 1: """choice""", 2: """sequence"""}
							else:
													__magic_name__      :       Dict       						= {0: """batch""", 1: """sequence"""}
							return OrderedDict(
							    [
							        ("""input_ids""", dynamic_axis),
							        ("""attention_mask""", dynamic_axis),
							    ]			)








def    UpperCamelCase						(	_A			):






						"""simple docstring"""







						if not isinstance(_A,   _A			) or number < 0:
												raise ValueError("""Input must be a non-negative integer"""			)

						__magic_name__      :       str       						= 0
						while number:
												# This way we arrive at next set bit (next 1) instead of looping
												# through each bit and checking for 1s hence the
												# loop won't run 32 times it will only run the number of `1` times
												number &= number - 1
												count += 1
						return count


if __name__ == "__main__":
		import doctest

		doctest.testmod()
