


from typing import Callable, Optional, Union

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


UpperCAmelCase__            =							logging.get_logger(__name__)

UpperCAmelCase__            =							{
    '''microsoft/prophetnet-large-uncased''': (
        '''https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'''
    ),
}







class 				lowerCamelCase__       (	lowerCAmelCase):
     SCREAMING_SNAKE_CASE__				      =      '''prophetnet'''
     SCREAMING_SNAKE_CASE__				      =      ['''past_key_values''']
     SCREAMING_SNAKE_CASE__				      =      {
         '''num_attention_heads''': '''num_encoder_attention_heads''',
     }





     def __init__(self		,					UpperCAmelCase = 0.1		,					UpperCAmelCase = "gelu"		,					UpperCAmelCase = 3_0_5_2_2		,					UpperCAmelCase = 1_0_2_4		,					UpperCAmelCase = 4_0_9_6		,					UpperCAmelCase = 1_2		,					UpperCAmelCase = 1_6		,					UpperCAmelCase = 4_0_9_6		,					UpperCAmelCase = 1_2		,					UpperCAmelCase = 1_6		,					UpperCAmelCase = 0.1		,					UpperCAmelCase = 0.1		,					UpperCAmelCase = 5_1_2		,					UpperCAmelCase = 0.02		,					UpperCAmelCase = True		,					UpperCAmelCase = True		,					UpperCAmelCase = 0		,					UpperCAmelCase = 2		,					UpperCAmelCase = 3_2		,					UpperCAmelCase = 1_2_8		,					UpperCAmelCase = False		,					UpperCAmelCase = 0.0		,					UpperCAmelCase = True		,					UpperCAmelCase = 0		,					UpperCAmelCase = 1		,					UpperCAmelCase = 2		,					**UpperCAmelCase		,					)					->       Any:
      _lowercase											=vocab_size
      _lowercase											=hidden_size
      _lowercase											=encoder_ffn_dim
      _lowercase											=num_encoder_layers
      _lowercase											=num_encoder_attention_heads
      _lowercase											=decoder_ffn_dim
      _lowercase											=num_decoder_layers
      _lowercase											=num_decoder_attention_heads
      _lowercase											=max_position_embeddings
      _lowercase											=init_std  # Normal(0, this parameter)
      _lowercase											=activation_function

      # parameters for prophetnet
      _lowercase											=ngram
      _lowercase											=num_buckets
      _lowercase											=relative_max_distance
      _lowercase											=disable_ngram_loss
      _lowercase											=eps

      # 3 Types of Dropout
      _lowercase											=attention_dropout
      _lowercase											=activation_dropout
      _lowercase											=dropout

      _lowercase											=use_cache

      super().__init__(
          pad_token_id=UpperCAmelCase		,					bos_token_id=UpperCAmelCase		,					eos_token_id=UpperCAmelCase		,					is_encoder_decoder=UpperCAmelCase		,					add_cross_attention=UpperCAmelCase		,					decoder_start_token_id=UpperCAmelCase		,					**UpperCAmelCase		,					)





     @property
     def 					__A (self	)					->       int:
      return self.num_encoder_layers + self.num_decoder_layers





     @num_hidden_layers.setter
     def 					__A (self		,					UpperCAmelCase	)					->       int:
      raise NotImplementedError(
          '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
          ''' `num_decoder_layers`.'''	)





from math import sqrt
def     UpperCAmelCase_ (							__snake_case						)					->      list[int]:







 """simple docstring"""


 _lowercase											=[1]
 for i in range(2					,						int(sqrt(__snake_case						)						) + 1					,						1						):
  if number % i == 0:
   values.append(__snake_case						)
   if int(number // i						) != i:
    values.append(int(number // i						)						)
 return sorted(__snake_case						)
def     UpperCAmelCase_ (							__snake_case						)					->      bool:







 """simple docstring"""


 return sum(factors(__snake_case						)						) > n
def     UpperCAmelCase_ (							__snake_case						)					->      bool:







 """simple docstring"""


 _lowercase											=factors(__snake_case						)
 _lowercase											=len(__snake_case						)
 _lowercase											=[[0 for i in range(number + 1						)] for j in range(r + 1						)]
 for i in range(r + 1						):
  _lowercase											=True

 for i in range(1					,						number + 1						):
  _lowercase											=False

 for i in range(1					,						r + 1						):
  for j in range(1					,						number + 1						):
   if j < values[i - 1]:
    _lowercase											=subset[i - 1][j]
   else:
    _lowercase											=subset[i - 1][j] or subset[i - 1][j - values[i - 1]]

 return subset[r][number] != 0
def     UpperCAmelCase_ (							__snake_case						)					->      bool:







 """simple docstring"""


 return abundant(__snake_case						) and not semi_perfect(__snake_case						)


if __name__ == "__main__":
  import doctest

  doctest.testmod(verbose=True)
  for number in (69, 70, 71):
    print(f'''{number} is {'' if weird(number) else 'not '}weird.''')

