





'''simple docstring'''

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


__lowerCAmelCase							:     List[str]		     =logging.get_logger(__name__)

__lowerCAmelCase							:     int		     ={
    "google/switch-base-8": "https://huggingface.co/google/switch-base-8/blob/main/config.json",
}






class        UpperCAmelCase     (	UpperCamelCase__    ):
 __lowercase       		=    """switch_transformers"""
 __lowercase       		=    ["""past_key_values"""]
 __lowercase       		=    {"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}
 def __init__(    self				:str						,	lowercase_				:int=3_21_28						,	lowercase_				:List[str]=7_68						,	lowercase_				:str=64						,	lowercase_				:int=20_48						,	lowercase_				:Union[str, Any]=64						,	lowercase_				:Any=12						,	lowercase_				:int=3						,	lowercase_				:int=12						,	lowercase_				:int=3						,	lowercase_				:int=12						,	lowercase_				:Optional[Any]=8						,	lowercase_				:Dict=False						,	lowercase_				:Optional[int]=0.0_1						,	lowercase_				:Any="float32"						,	lowercase_				:Optional[int]=False						,	lowercase_				:Any=32						,	lowercase_				:Tuple=1_28						,	lowercase_				:Optional[int]=0.1						,	lowercase_				:Tuple=1E-6						,	lowercase_				:List[Any]=0.0_0_1						,	lowercase_				:Any=0.0_0_1						,	lowercase_				:int=1.0						,	lowercase_				:int="relu"						,	lowercase_				:List[str]=True						,	lowercase_				:List[str]=False						,	lowercase_				:int=True						,	lowercase_				:Any=0						,	lowercase_				:Optional[Any]=1						,	**lowercase_				:Union[str, Any]						,	)->							Optional[int]:
     A__    =      vocab_size
     A__    =      d_model
     A__    =      d_kv
     A__    =      d_ff

     A__    =      num_sparse_encoder_layers

     A__    =      num_layers
     A__    =      (
         num_decoder_layers if num_decoder_layers is not None else self.num_layers
     )  # default = symmetry
     A__    =      num_sparse_decoder_layers

     # This tells us, each how many encoder layer we'll have to set a sparse layer.
     if self.num_sparse_encoder_layers > 0:
         A__    =      self.num_layers // self.num_sparse_encoder_layers
     else:
         A__    =      self.num_layers  # HACK: this will create 0 sparse layers

     # This tells us, each how many encoder layer we'll have to set a sparse layer.
     if self.num_sparse_decoder_layers > 0:
         A__    =      self.num_decoder_layers // self.num_sparse_decoder_layers
     else:
         A__    =      self.num_decoder_layers  # HACK: this will create 0 sparse layers

     A__    =      num_heads
     A__    =      num_experts
     A__    =      expert_capacity
     A__    =      router_bias
     A__    =      router_jitter_noise
     if router_dtype not in ["float32", "float16", "bfloat16"]:
         raise ValueError(F"`router_dtype` must be one of 'float32', 'float16' or 'bfloat16', got {router_dtype}"							)
     A__    =      router_dtype

     A__    =      router_ignore_padding_tokens
     A__    =      relative_attention_num_buckets
     A__    =      relative_attention_max_distance

     A__    =      dropout_rate
     A__    =      layer_norm_epsilon
     A__    =      initializer_factor
     A__    =      feed_forward_proj
     A__    =      use_cache
     A__    =      add_router_probs

     A__    =      router_z_loss_coef
     A__    =      router_aux_loss_coef

     A__    =      self.feed_forward_proj.split("-"							)
     A__    =      act_info[-1]
     A__    =      act_info[0] == "gated"

     if len(lowercase_							) > 1 and act_info[0] != "gated" or len(lowercase_							) > 2:
         raise ValueError(
             F"`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."
             "Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. "
             "'gated-gelu' or 'relu'"							)

     # for backwards compatibility
     if feed_forward_proj == "gated-gelu":
         A__    =      "gelu_new"

     super().__init__(
         pad_token_id=lowercase_						,	eos_token_id=lowercase_						,	is_encoder_decoder=lowercase_						,	**lowercase_						,	)










'''simple docstring'''

def 						UpperCamelCase    (							_lowerCamelCase : int	):

    if not isinstance(_lowerCamelCase						,	_lowerCamelCase	):
        A__    =      F"Input value of [number={number}] must be an integer"
        raise TypeError(_lowerCamelCase	)

    if number < 1:
        A__    =      F"Input value of [number={number}] must be > 0"
        raise ValueError(_lowerCamelCase	)

    A__    =      1

    for i in range(1						,	_lowerCamelCase	):
        current_number *= 4 * i - 2
        current_number //= i + 1

    return current_number


if __name__ == "__main__":
  import doctest

  doctest.testmod()



