






"""simple docstring"""





def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    list  )    ->							str:
						_enforce_args(__UpperCAmelCase      ,   __UpperCAmelCase  )
						if n == 0:
												return 0
						__magic_name__:	int							=       float("""-inf"""  )
						for i in range(1      ,   n + 1  ):
												__magic_name__:	List[str]							=       max(
												    __UpperCAmelCase      ,   prices[i - 1] + naive_cut_rod_recursive(n - i      ,   __UpperCAmelCase  )  )

						return max_revue



def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    list  )    ->							Optional[int]:
						_enforce_args(__UpperCAmelCase      ,   __UpperCAmelCase  )
						__magic_name__:	Optional[int]							=       [float("""-inf"""  ) for _ in range(n + 1  )]
						return _top_down_cut_rod_recursive(__UpperCAmelCase      ,   __UpperCAmelCase      ,   __UpperCAmelCase  )



def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    list      ,   __UpperCAmelCase      :    list  )    ->							int:




						if max_rev[n] >= 0:
												return max_rev[n]
						elif n == 0:
												return 0
						else:
												__magic_name__:	int							=       float("""-inf"""  )
												for i in range(1      ,   n + 1  ):
																		__magic_name__:	List[Any]							=       max(
																		    __UpperCAmelCase      ,   prices[i - 1] + _top_down_cut_rod_recursive(n - i      ,   __UpperCAmelCase      ,   __UpperCAmelCase  )      ,   )

												__magic_name__:	Optional[Any]							=       max_revenue

						return max_rev[n]



def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    list  )    ->							Tuple:
						_enforce_args(__UpperCAmelCase      ,   __UpperCAmelCase  )

						# length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
						# length 0.
						__magic_name__:	Any							=       [float("""-inf"""  ) for _ in range(n + 1  )]
						__magic_name__:	Union[str, Any]							=       0

						for i in range(1      ,   n + 1  ):
												__magic_name__:	Dict							=       max_rev[i]
												for j in range(1      ,   i + 1  ):
																		__magic_name__:	Optional[int]							=       max(__UpperCAmelCase      ,   prices[j - 1] + max_rev[i - j]  )

												__magic_name__:	List[str]							=       max_revenue_i

						return max_rev[n]



def   a    (     __UpperCAmelCase      :    int      ,   __UpperCAmelCase      :    list  )    ->							Union[str, Any]:




						if n < 0:
												__magic_name__:	Tuple							=       f'n must be greater than or equal to 0. Got n = {n}'
												raise ValueError(__UpperCAmelCase  )

						if n > len(__UpperCAmelCase  ):
												__magic_name__:	List[Any]							=       (
												    """Each integral piece of rod must have a corresponding price. """
												    f'Got n = {n} but length of prices = {len(__UpperCAmelCase  )}'
												)
												raise ValueError(__UpperCAmelCase  )



def   a    (     )    ->							List[Any]:
						__magic_name__:	Optional[Any]							=       [6, 1_0, 1_2, 1_5, 2_0, 2_3]
						__magic_name__:	Tuple							=       len(__UpperCAmelCase  )

						# the best revenue comes from cutting the rod into 6 pieces, each
						# of length 1 resulting in a revenue of 6 * 6 = 36.
						__magic_name__:	Union[str, Any]							=       3_6

						__magic_name__:	str							=       top_down_cut_rod(__UpperCAmelCase      ,   __UpperCAmelCase  )
						__magic_name__:	Tuple							=       bottom_up_cut_rod(__UpperCAmelCase      ,   __UpperCAmelCase  )
						__magic_name__:	Tuple							=       naive_cut_rod_recursive(__UpperCAmelCase      ,   __UpperCAmelCase  )

						assert expected_max_revenue == max_rev_top_down
						assert max_rev_top_down == max_rev_bottom_up
						assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
							main()







from collections import OrderedDict
from typing import Mapping

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


A			:						List[str]        =  logging.get_logger(__name__)

A			:						Tuple        =  {
    '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__				):
					'''simple docstring'''






					A__     =					'''ibert'''

					def __init__(self       :		int ,   _UpperCAmelCase       :		Union[str, Any]=3_0522 ,   _UpperCAmelCase       :		Any=768 ,   _UpperCAmelCase       :		Optional[Any]=12 ,   _UpperCAmelCase       :		Union[str, Any]=12 ,   _UpperCAmelCase       :		List[Any]=3072 ,   _UpperCAmelCase       :		List[Any]="gelu" ,   _UpperCAmelCase       :		List[str]=0.1 ,   _UpperCAmelCase       :		Union[str, Any]=0.1 ,   _UpperCAmelCase       :		Optional[int]=512 ,   _UpperCAmelCase       :		str=2 ,   _UpperCAmelCase       :		Union[str, Any]=0.02 ,   _UpperCAmelCase       :		Dict=1E-1_2 ,   _UpperCAmelCase       :		int=1 ,   _UpperCAmelCase       :		str=0 ,   _UpperCAmelCase       :		Tuple=2 ,   _UpperCAmelCase       :		int="absolute" ,   _UpperCAmelCase       :		Any=False ,   _UpperCAmelCase       :		List[Any]="none" ,   **_UpperCAmelCase       :		List[Any] ,   )		->  Any:




							"""simple docstring"""


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

							lowercase__	     =						vocab_size
							lowercase__	     =						hidden_size
							lowercase__	     =						num_hidden_layers
							lowercase__	     =						num_attention_heads
							lowercase__	     =						hidden_act
							lowercase__	     =						intermediate_size
							lowercase__	     =						hidden_dropout_prob
							lowercase__	     =						attention_probs_dropout_prob
							lowercase__	     =						max_position_embeddings
							lowercase__	     =						type_vocab_size
							lowercase__	     =						initializer_range
							lowercase__	     =						layer_norm_eps
							lowercase__	     =						position_embedding_type
							lowercase__	     =						quant_mode
							lowercase__	     =						force_dequant






class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					@property
					def     lowerCamelCase__	(self       :		Dict						)		->  Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


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

