





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:	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       __lowerCAmelCase					(       __a      ):


	'''simple docstring'''





	_A													=				"ibert"

	def __init__(						self:						Optional[Any],					lowerCamelCase_:						int=30522,					lowerCamelCase_:						int=768,					lowerCamelCase_:						Optional[int]=12,					lowerCamelCase_:						List[str]=12,					lowerCamelCase_:						Optional[int]=3072,					lowerCamelCase_:						List[str]="gelu",					lowerCamelCase_:						Any=0.1,					lowerCamelCase_:						Optional[Any]=0.1,					lowerCamelCase_:						Optional[int]=512,					lowerCamelCase_:						str=2,					lowerCamelCase_:						Union[str, Any]=0.0_2,					lowerCamelCase_:						List[Any]=1E-12,					lowerCamelCase_:						Dict=1,					lowerCamelCase_:						List[Any]=0,					lowerCamelCase_:						Any=2,					lowerCamelCase_:						int="absolute",					lowerCamelCase_:						Dict=False,					lowerCamelCase_:						Union[str, Any]="none",					**lowerCamelCase_:						List[Any],					):
			super().__init__(pad_token_id=lowercase_,					bos_token_id=lowercase_,					eos_token_id=lowercase_,					**lowercase_			)

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


class       __lowerCAmelCase					(       __a      ):


	'''simple docstring'''





	@property
	def    snake_case__(						self:						Union[str, Any]			):


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



'''simple docstring'''


import math
import sys

def   A_      (       SCREAMING_SNAKE_CASE_						)			->int:
  if number != int(SCREAMING_SNAKE_CASE_						):
    raise ValueError("""the value of input must be a natural number"""						)
  if number < 0:
    raise ValueError("""the value of input must not be a negative number"""						)
  if number == 0:
    return 1
  lowercase_     =       [-1] * (number + 1)
  lowercase_     =       0
  for i in range(1 ,	number + 1						):
    lowercase_     =       sys.maxsize
    lowercase_     =       int(math.sqrt(SCREAMING_SNAKE_CASE_						)						)
    for j in range(1 ,	root + 1						):
      lowercase_     =       1 + answers[i - (j**2)]
      lowercase_     =       min(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
    lowercase_     =       answer
  return answers[number]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

