




from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase_		:					Union[str, Any]          =  logging.get_logger(__name__)

UpperCAmelCase_		:					List[Any]          =  {
    "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 		__A   (      UpperCamelCase__      ):
						UpperCamelCase      =       """ibert"""

						def __init__(		self :str     ,			__snake_case :Optional[Any]=3_05_22     ,			__snake_case :int=7_68     ,			__snake_case :List[Any]=12     ,			__snake_case :str=12     ,			__snake_case :Optional[Any]=30_72     ,			__snake_case :List[Any]="gelu"     ,			__snake_case :Tuple=0.1     ,			__snake_case :List[str]=0.1     ,			__snake_case :Optional[Any]=5_12     ,			__snake_case :Optional[Any]=2     ,			__snake_case :List[Any]=0.02     ,			__snake_case :int=1E-12     ,			__snake_case :int=1     ,			__snake_case :Optional[int]=0     ,			__snake_case :List[Any]=2     ,			__snake_case :Optional[Any]="absolute"     ,			__snake_case :Optional[int]=False     ,			__snake_case :int="none"     ,			**__snake_case :Union[str, Any]     ,			):
										'''simple docstring'''

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

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




class 		__A   (      UpperCamelCase__      ):

						@property
						def      A__    (		self :Dict			):
										'''simple docstring'''

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






from __future__ import annotations

def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				if len(__magic_name__						) == 0:
								return []
				lowercase     ,	lowercase         =      min(__magic_name__						), max(__magic_name__						)
				lowercase         =      int(max_value - min_value						) + 1
				lowercase         =      [[] for _ in range(__magic_name__						)]

				for i in my_list:
								buckets[int(i - min_value						)].append(__magic_name__						)

				return [v for bucket in buckets for v in sorted(__magic_name__						)]


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

						testmod()
						assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
						assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]
