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


_lowerCamelCase           =logging.get_logger(__name__)

_lowerCamelCase           ={
    """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/config.json""",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}





class 							A__	(			__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase       :					Tuple					 =    """qdqbert"""
      def __init__(   self					,						__magic_name__=3_0_5_2_2					,						__magic_name__=7_6_8					,						__magic_name__=1_2					,						__magic_name__=1_2					,						__magic_name__=3_0_7_2					,						__magic_name__="gelu"					,						__magic_name__=0.1					,						__magic_name__=0.1					,						__magic_name__=5_1_2					,						__magic_name__=2					,						__magic_name__=0.02					,						__magic_name__=1e-12					,						__magic_name__=True					,						__magic_name__=1					,						__magic_name__=0					,						__magic_name__=2					,						**__magic_name__					,						):
       super().__init__(pad_token_id=__magic_name__					,						bos_token_id=__magic_name__					,						eos_token_id=__magic_name__					,						**__magic_name__   )

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






def 					_a      (		lowerCamelCase,			lowerCamelCase							):
 if n < 0:
  return 0
 # table[i] represents the number of ways to get to amount i
 lowerCamelCase	:			int           =   [0] * (n + 1)

 # There is exactly 1 way to get to zero(You pick no coins).
 lowerCamelCase	:			Any           =   1

 # Pick all coins one by one and update table[] values
 # after the index greater than or equal to the value of the
 # picked coin
 for coin_val in s:
  for j in range(lowerCamelCase,			n + 1							):
   table[j] += table[j - coin_val]

 return table[n]


if __name__ == "__main__":
      import doctest

      doctest.testmod()




