

from collections import OrderedDict
from typing import Mapping

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


snake_case_        =			logging.get_logger(__name__)

snake_case_        =			{
    '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json''',
    '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json''',
    '''junnyu/roformer_chinese_char_small''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'''
    ),
    '''junnyu/roformer_chinese_char_base''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_discriminator''': (
        '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_generator''': (
        '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'''
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}


class 				SCREAMING_SNAKE_CASE__ (__snake_case					):
    __lowerCamelCase						:	Dict														=					"""roformer"""





    def __init__(				self						,       a=5_0000						,       a=None						,       a=768						,       a=12						,       a=12						,       a=3072						,       a="gelu"						,       a=0.1						,       a=0.1						,       a=1536						,       a=2						,       a=0.02						,       a=1e-12						,       a=0						,       a=False						,       a=True						,       **a						,       ):
         super().__init__(pad_token_id=a						,       **a)

         lowercase__   :       Optional[int]				=	vocab_size
         lowercase__   :       Tuple				=	hidden_size if embedding_size is None else embedding_size
         lowercase__   :       Optional[int]				=	hidden_size
         lowercase__   :       Optional[Any]				=	num_hidden_layers
         lowercase__   :       Optional[int]				=	num_attention_heads
         lowercase__   :       int				=	hidden_act
         lowercase__   :       str				=	intermediate_size
         lowercase__   :       List[Any]				=	hidden_dropout_prob
         lowercase__   :       Any				=	attention_probs_dropout_prob
         lowercase__   :       List[str]				=	max_position_embeddings
         lowercase__   :       Union[str, Any]				=	type_vocab_size
         lowercase__   :       Dict				=	initializer_range
         lowercase__   :       Tuple				=	layer_norm_eps
         lowercase__   :       Optional[int]				=	rotary_value
         lowercase__   :       Optional[int]				=	use_cache



class 				SCREAMING_SNAKE_CASE__ (__snake_case					):





    @property
    def 				snake_case_    (				self):
         if self.task == "multiple-choice":
              lowercase__   :       List[Any]				=	{0: 'batch', 1: 'choice', 2: 'sequence'}
         else:
              lowercase__   :       Dict				=	{0: 'batch', 1: 'sequence'}
         lowercase__   :       Optional[int]				=	{0: 'batch', 1: 'sequence'}
         return OrderedDict(
             [
                 ('input_ids', dynamic_axis),
                 ('attention_mask', dynamic_axis),
                 ('token_type_ids', dynamic_axis),
             ])




import math
import sys

def      snake_case__      (   SCREAMING_SNAKE_CASE_		:   int      ):



     '''simple docstring'''





     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__   :       Tuple				=	[-1] * (number + 1)
     lowercase__   :       Tuple				=	0
     for i in range(1     ,					number + 1      ):
          lowercase__   :       Tuple				=	sys.maxsize
          lowercase__   :       str				=	int(math.sqrt(SCREAMING_SNAKE_CASE_      )      )
          for j in range(1     ,					root + 1      ):
               lowercase__   :       List[Any]				=	1 + answers[i - (j**2)]
               lowercase__   :       str				=	min(SCREAMING_SNAKE_CASE_     ,					SCREAMING_SNAKE_CASE_      )
          lowercase__   :       List[str]				=	answer
     return answers[number]


if __name__ == "__main__":
       import doctest

       doctest.testmod()

