

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


__lowercase  :   Optional[Any]						      =logging.get_logger(__name__)

__lowercase  :   Union[str, Any]						      ={
    'google/switch-base-8': 'https://huggingface.co/google/switch-base-8/blob/main/config.json',
}

class      A       (	lowerCAmelCase__						):
      _snake_case							     ="switch_transformers"
      _snake_case							     =["past_key_values"]
      _snake_case							     ={"hidden_size": "d_model", "num_attention_heads": "num_heads", "num_hidden_layers": "num_layers"}



      def __init__(	self:						Dict		,  _lowerCAmelCase:						Union[str, Any]=3_2128		,  _lowerCAmelCase:						Tuple=768		,  _lowerCAmelCase:						Optional[Any]=64		,  _lowerCAmelCase:						str=2048		,  _lowerCAmelCase:						Tuple=64		,  _lowerCAmelCase:						Optional[Any]=12		,  _lowerCAmelCase:						Union[str, Any]=3		,  _lowerCAmelCase:						Union[str, Any]=12		,  _lowerCAmelCase:						Dict=3		,  _lowerCAmelCase:						Any=12		,  _lowerCAmelCase:						Any=8		,  _lowerCAmelCase:						int=False		,  _lowerCAmelCase:						str=0.01		,  _lowerCAmelCase:						str="float32"		,  _lowerCAmelCase:						Optional[int]=False		,  _lowerCAmelCase:						Union[str, Any]=32		,  _lowerCAmelCase:						List[str]=128		,  _lowerCAmelCase:						List[str]=0.1		,  _lowerCAmelCase:						Tuple=1e-6		,  _lowerCAmelCase:						Optional[int]=0.0_01		,  _lowerCAmelCase:						Dict=0.0_01		,  _lowerCAmelCase:						int=1.0		,  _lowerCAmelCase:						str="relu"		,  _lowerCAmelCase:						List[str]=True		,  _lowerCAmelCase:						str=False		,  _lowerCAmelCase:						Optional[Any]=True		,  _lowerCAmelCase:						List[Any]=0		,  _lowerCAmelCase:						Any=1		,  **_lowerCAmelCase:						List[Any]		,  )						->    List[str]:
         '''simple docstring'''

         UpperCAmelCase_											=vocab_size
         UpperCAmelCase_											=d_model
         UpperCAmelCase_											=d_kv
         UpperCAmelCase_											=d_ff

         UpperCAmelCase_											=num_sparse_encoder_layers

         UpperCAmelCase_											=num_layers
         UpperCAmelCase_											=(
             num_decoder_layers if num_decoder_layers is not None else self.num_layers
         )  # default = symmetry
         UpperCAmelCase_											=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:
            UpperCAmelCase_											=self.num_layers // self.num_sparse_encoder_layers
         else:
            UpperCAmelCase_											=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:
            UpperCAmelCase_											=self.num_decoder_layers // self.num_sparse_decoder_layers
         else:
            UpperCAmelCase_											=self.num_decoder_layers  # HACK: this will create 0 sparse layers

         UpperCAmelCase_											=num_heads
         UpperCAmelCase_											=num_experts
         UpperCAmelCase_											=expert_capacity
         UpperCAmelCase_											=router_bias
         UpperCAmelCase_											=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}'       )
         UpperCAmelCase_											=router_dtype

         UpperCAmelCase_											=router_ignore_padding_tokens
         UpperCAmelCase_											=relative_attention_num_buckets
         UpperCAmelCase_											=relative_attention_max_distance

         UpperCAmelCase_											=dropout_rate
         UpperCAmelCase_											=layer_norm_epsilon
         UpperCAmelCase_											=initializer_factor
         UpperCAmelCase_											=feed_forward_proj
         UpperCAmelCase_											=use_cache
         UpperCAmelCase_											=add_router_probs

         UpperCAmelCase_											=router_z_loss_coef
         UpperCAmelCase_											=router_aux_loss_coef

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

         if len(_SCREAMING_SNAKE_CASE       ) > 1 and act_info[0] != "gated" or len(_SCREAMING_SNAKE_CASE       ) > 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":
            UpperCAmelCase_											="gelu_new"

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











import sys
import turtle




def     a__ (					lowercase__  ,    lowercase__  ):






   '''simple docstring'''






   return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2




def     a__ (					lowercase__  ,    lowercase__  ,    lowercase__  ,    lowercase__  ,    ):






   '''simple docstring'''






   my_pen.up()
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )
   my_pen.down()
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )

   if depth == 0:
      return

   triangle(lowercase__  ,    get_mid(lowercase__  ,    lowercase__  )  ,    get_mid(lowercase__  ,    lowercase__  )  ,    depth - 1  )
   triangle(lowercase__  ,    get_mid(lowercase__  ,    lowercase__  )  ,    get_mid(lowercase__  ,    lowercase__  )  ,    depth - 1  )
   triangle(lowercase__  ,    get_mid(lowercase__  ,    lowercase__  )  ,    get_mid(lowercase__  ,    lowercase__  )  ,    depth - 1  )


if __name__ == "__main__":
     if len(sys.argv) != 2:
          raise ValueError(
              """Correct format for using this script: """
              """python fractals.py <int:depth_for_fractal>"""
          )
     __lowercase  :   Any						      =turtle.Turtle()
     my_pen.ht()
     my_pen.speed(5)
     my_pen.pencolor("""red""")

     __lowercase  :   str						      =[(-175, -125), (0, 175), (175, -125)]  # vertices of triangle
     triangle(vertices[0], vertices[1], vertices[2], int(sys.argv[1]))




