


"""simple docstring"""

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__  							=logging.get_logger(__name__)

UpperCAmelCase__  							={
    "weiweishi/roc-bert-base-zh": "https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json",
}





class    lowerCamelCase__						(		_a    ):
      a :     str											=		"""roc_bert"""
      def __init__(		self	:	Any      ,       A_	:	Any=3_0_5_2_2      ,       A_	:	int=7_6_8      ,       A_	:	List[Any]=1_2      ,       A_	:	str=1_2      ,       A_	:	int=3_0_7_2      ,       A_	:	Union[str, Any]="gelu"      ,       A_	:	Optional[int]=0.1      ,       A_	:	str=0.1      ,       A_	:	Optional[Any]=5_1_2      ,       A_	:	Optional[Any]=2      ,       A_	:	Dict=0.02      ,       A_	:	Dict=1e-1_2      ,       A_	:	List[Any]=True      ,       A_	:	List[str]=0      ,       A_	:	Optional[Any]="absolute"      ,       A_	:	Union[str, Any]=None      ,       A_	:	Optional[Any]=True      ,       A_	:	Union[str, Any]=True      ,       A_	:	List[Any]=7_6_8      ,       A_	:	Optional[int]=9_1_0      ,       A_	:	Optional[Any]=5_1_2      ,       A_	:	Optional[int]=2_4_8_5_8      ,       A_	:	List[Any]=True      ,       **A_	:	Optional[Any]      ,       ):






       '''simple docstring'''


       __lowercase									=	vocab_size
       __lowercase									=	max_position_embeddings
       __lowercase									=	hidden_size
       __lowercase									=	num_hidden_layers
       __lowercase									=	num_attention_heads
       __lowercase									=	intermediate_size
       __lowercase									=	hidden_act
       __lowercase									=	hidden_dropout_prob
       __lowercase									=	attention_probs_dropout_prob
       __lowercase									=	initializer_range
       __lowercase									=	type_vocab_size
       __lowercase									=	layer_norm_eps
       __lowercase									=	use_cache
       __lowercase									=	enable_pronunciation
       __lowercase									=	enable_shape
       __lowercase									=	pronunciation_embed_dim
       __lowercase									=	pronunciation_vocab_size
       __lowercase									=	shape_embed_dim
       __lowercase									=	shape_vocab_size
       __lowercase									=	concat_input
       __lowercase									=	position_embedding_type
       __lowercase									=	classifier_dropout
       super().__init__(pad_token_id=A_      ,       **A_							)




"""simple docstring"""

def lowerCAmelCase_      (				UpperCamelCase__	: int				,   UpperCamelCase__	: list ):






 """simple docstring"""







 _enforce_args(UpperCamelCase__				,   UpperCamelCase__ )
 if n == 0:
  return 0
 __lowercase									=	float("""-inf""" )
 for i in range(1				,   n + 1 ):
  __lowercase									=	max(
      UpperCamelCase__				,   prices[i - 1] + naive_cut_rod_recursive(n - i				,   UpperCamelCase__ ) )

 return max_revue


def lowerCAmelCase_      (				UpperCamelCase__	: int				,   UpperCamelCase__	: list ):






 """simple docstring"""







 _enforce_args(UpperCamelCase__				,   UpperCamelCase__ )
 __lowercase									=	[float("""-inf""" ) for _ in range(n + 1 )]
 return _top_down_cut_rod_recursive(UpperCamelCase__				,   UpperCamelCase__				,   UpperCamelCase__ )


def lowerCAmelCase_      (				UpperCamelCase__	: int				,   UpperCamelCase__	: list				,   UpperCamelCase__	: list ):






 """simple docstring"""







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

  __lowercase									=	max_revenue

 return max_rev[n]


def lowerCAmelCase_      (				UpperCamelCase__	: int				,   UpperCamelCase__	: list ):






 """simple docstring"""







 _enforce_args(UpperCamelCase__				,   UpperCamelCase__ )

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

 for i in range(1				,   n + 1 ):
  __lowercase									=	max_rev[i]
  for j in range(1				,   i + 1 ):
   __lowercase									=	max(UpperCamelCase__				,   prices[j - 1] + max_rev[i - j] )

  __lowercase									=	max_revenue_i

 return max_rev[n]


def lowerCAmelCase_      (				UpperCamelCase__	: int				,   UpperCamelCase__	: list ):






 """simple docstring"""







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

 if n > len(UpperCamelCase__ ):
  __lowercase									=	(
      """Each integral piece of rod must have a corresponding price. """
      f'''Got n = {n} but length of prices = {len(UpperCamelCase__ )}'''
  )
  raise ValueError(UpperCamelCase__ )


def lowerCAmelCase_      (				):






 """simple docstring"""







 __lowercase									=	[6, 10, 12, 15, 20, 23]
 __lowercase									=	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.
 __lowercase									=	36

 __lowercase									=	top_down_cut_rod(UpperCamelCase__				,   UpperCamelCase__ )
 __lowercase									=	bottom_up_cut_rod(UpperCamelCase__				,   UpperCamelCase__ )
 __lowercase									=	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()
