






from collections import OrderedDict
from typing import Mapping

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


lowerCamelCase	:							str				=logging.get_logger(__name__)

lowerCamelCase	:							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__       ):
 _lowerCAmelCase       :       Union[str, Any]        = '''ibert'''







 def __init__(		self					:   Optional[Any]							,   SCREAMING_SNAKE_CASE					:   Optional[Any]=3_05_22							,   SCREAMING_SNAKE_CASE					:   str=7_68							,   SCREAMING_SNAKE_CASE					:   Any=12							,   SCREAMING_SNAKE_CASE					:   Optional[int]=12							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=30_72							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]="gelu"							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=0.1							,   SCREAMING_SNAKE_CASE					:   Any=0.1							,   SCREAMING_SNAKE_CASE					:   str=5_12							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=2							,   SCREAMING_SNAKE_CASE					:   Dict=0.0_2							,   SCREAMING_SNAKE_CASE					:   Dict=1e-1_2							,   SCREAMING_SNAKE_CASE					:   Any=1							,   SCREAMING_SNAKE_CASE					:   Optional[Any]=0							,   SCREAMING_SNAKE_CASE					:   Union[str, Any]=2							,   SCREAMING_SNAKE_CASE					:   Any="absolute"							,   SCREAMING_SNAKE_CASE					:   Dict=False							,   SCREAMING_SNAKE_CASE					:   List[str]="none"							,   **SCREAMING_SNAKE_CASE					:   List[Any]							,   ):


      '''simple docstring'''






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

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







class 			__a  (    UpperCAmelCase__       ):







 @property
 def 					__lowercase					(		self					:   int						):


      '''simple docstring'''






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





import functools


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if not isinstance(_A     ,	_A							) or not all(isinstance(_A     ,	_A							) for day in days							):
		raise ValueError("The parameter days should be a list of integers"							)

	if len(_A							) != 3 or not all(isinstance(_A     ,	_A							) for cost in costs							):
		raise ValueError("The parameter costs should be a list of three integers"							)

	if len(_A							) == 0:
		return 0

	if min(_A							) <= 0:
		raise ValueError("All days elements should be greater than 0"							)

	if max(_A							) >= 366:
		raise ValueError("All days elements should be less than 366"							)

	snake_case_		    =     set(_A							)

	@functools.cache
	def dynamic_programming(_A							) -> int:
		if index > 365:
			return 0

		if index not in days_set:
			return dynamic_programming(index + 1							)

		return min(
		    costs[0] + dynamic_programming(index + 1							)     ,	costs[1] + dynamic_programming(index + 7							)     ,	costs[2] + dynamic_programming(index + 30							)     ,	)

	return dynamic_programming(1							)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
