
"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


UpperCAmelCase__          = logging.get_logger(__name__)

UpperCAmelCase__          = {
    'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/config.json',
    'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/config.json',
    'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/config.json',
    'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/config.json',
    'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json',
    'roberta-large-openai-detector': 'https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json',
}

class       lowerCAmelCase__				(						A_	):
     __a						=					"""roberta"""







     def __init__(							self			:			Tuple    ,      _lowerCamelCase			:			str=50265    ,      _lowerCamelCase			:			Tuple=768    ,      _lowerCamelCase			:			List[Any]=12    ,      _lowerCamelCase			:			Optional[Any]=12    ,      _lowerCamelCase			:			int=3072    ,      _lowerCamelCase			:			Optional[int]="gelu"    ,      _lowerCamelCase			:			Dict=0.1    ,      _lowerCamelCase			:			List[Any]=0.1    ,      _lowerCamelCase			:			Dict=512    ,      _lowerCamelCase			:			Optional[Any]=2    ,      _lowerCamelCase			:			Union[str, Any]=0.0_2    ,      _lowerCamelCase			:			str=1e-12    ,      _lowerCamelCase			:			Optional[int]=1    ,      _lowerCamelCase			:			int=0    ,      _lowerCamelCase			:			Dict=2    ,      _lowerCamelCase			:			Tuple="absolute"    ,      _lowerCamelCase			:			str=True    ,      _lowerCamelCase			:			str=None    ,      **_lowerCamelCase			:			Dict    ,      ):
       super().__init__(pad_token_id=_lowerCamelCase    ,      bos_token_id=_lowerCamelCase    ,      eos_token_id=_lowerCamelCase    ,      **_lowerCamelCase			)

       _snake_case					     =       vocab_size
       _snake_case					     =       hidden_size
       _snake_case					     =       num_hidden_layers
       _snake_case					     =       num_attention_heads
       _snake_case					     =       hidden_act
       _snake_case					     =       intermediate_size
       _snake_case					     =       hidden_dropout_prob
       _snake_case					     =       attention_probs_dropout_prob
       _snake_case					     =       max_position_embeddings
       _snake_case					     =       type_vocab_size
       _snake_case					     =       initializer_range
       _snake_case					     =       layer_norm_eps
       _snake_case					     =       position_embedding_type
       _snake_case					     =       use_cache
       _snake_case					     =       classifier_dropout






class       lowerCAmelCase__				(						A_	):







     @property
     def      lowercase	(							self			:			Union[str, Any]			):
       if self.task == "multiple-choice":
         _snake_case					     =       {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
       else:
         _snake_case					     =       {0: '''batch''', 1: '''sequence'''}
       return OrderedDict(
           [
               ('''input_ids''', dynamic_axis),
               ('''attention_mask''', dynamic_axis),
           ]			)





"""simple docstring"""



from math import pow
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int ,					__lowerCamelCase   :       int ,					__lowerCamelCase   :       int ,					__lowerCamelCase   :       int ,					__lowerCamelCase   :       int ,					)     ->					tuple[int, int]:
  if current_sum == needed_sum:
    # If the sum of the powers is equal to needed_sum, then we have a solution.
    solutions_count += 1
    return current_sum, solutions_count

  _snake_case					     =       int(pow(__lowerCamelCase ,					__lowerCamelCase		)		)
  if current_sum + i_to_n <= needed_sum:
    # If the sum of the powers is less than needed_sum, then continue adding powers.
    current_sum += i_to_n
    _snake_case     ,					_snake_case					     =       backtrack(
        __lowerCamelCase ,					__lowerCamelCase ,					current_number + 1 ,					__lowerCamelCase ,					__lowerCamelCase		)
    current_sum -= i_to_n
  if i_to_n < needed_sum:
    # If the power of i is less than needed_sum, then try with the next power.
    _snake_case     ,					_snake_case					     =       backtrack(
        __lowerCamelCase ,					__lowerCamelCase ,					current_number + 1 ,					__lowerCamelCase ,					__lowerCamelCase		)
  return current_sum, solutions_count
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int ,					__lowerCamelCase   :       int		)     ->					int:
  if not (1 <= needed_sum <= 10_00 and 2 <= power <= 10):
    raise ValueError(
        '''Invalid input\n'''
        '''needed_sum must be between 1 and 1000, power between 2 and 10.'''		)

  return backtrack(__lowerCamelCase ,					__lowerCamelCase ,					1 ,					0 ,					0		)[1]  # Return the solutions_count


if __name__ == "__main__":
 import doctest

 doctest.testmod()



