




'''simple docstring'''






from typing import List, Union

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


A_ 			=		logging.get_logger(__name__)

A_ 			=		{
    "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/config.json",
    # See all LED models at https://huggingface.co/models?filter=led
}






class 					lowercase_			(	lowerCAmelCase_       ):
     A_       							= "led"
     A_       							= {
         "num_attention_heads": "encoder_attention_heads",
         "hidden_size": "d_model",
         "attention_probs_dropout_prob": "attention_dropout",
         "initializer_range": "init_std",
     }





     def __init__(    self    :				List[Any]    ,       __lowerCamelCase    :				int=50265    ,       __lowerCamelCase    :				Union[str, Any]=16384    ,       __lowerCamelCase    :				Union[str, Any]=1024    ,       __lowerCamelCase    :				Any=12    ,       __lowerCamelCase    :				Dict=4096    ,       __lowerCamelCase    :				List[Any]=16    ,       __lowerCamelCase    :				Optional[int]=12    ,       __lowerCamelCase    :				List[Any]=4096    ,       __lowerCamelCase    :				Tuple=16    ,       __lowerCamelCase    :				Optional[Any]=0.0    ,       __lowerCamelCase    :				List[Any]=0.0    ,       __lowerCamelCase    :				int=True    ,       __lowerCamelCase    :				List[Any]=True    ,       __lowerCamelCase    :				List[Any]="gelu"    ,       __lowerCamelCase    :				Any=1024    ,       __lowerCamelCase    :				List[str]=0.1    ,       __lowerCamelCase    :				Any=0.0    ,       __lowerCamelCase    :				str=0.0    ,       __lowerCamelCase    :				List[str]=0.0_2    ,       __lowerCamelCase    :				Union[str, Any]=2    ,       __lowerCamelCase    :				Union[str, Any]=0.0    ,       __lowerCamelCase    :				Dict=1    ,       __lowerCamelCase    :				Tuple=0    ,       __lowerCamelCase    :				Union[str, Any]=2    ,       __lowerCamelCase    :				Union[List[int], int] = 512    ,       **__lowerCamelCase    :				Union[str, Any]    ,       ):
           snake_case__					:      int  			=						vocab_size
           snake_case__					:      List[str]  			=						max_encoder_position_embeddings
           snake_case__					:      str  			=						max_decoder_position_embeddings
           snake_case__					:      Dict  			=						d_model
           snake_case__					:      Optional[Any]  			=						encoder_ffn_dim
           snake_case__					:      Any  			=						encoder_layers
           snake_case__					:      Tuple  			=						encoder_attention_heads
           snake_case__					:      Optional[int]  			=						decoder_ffn_dim
           snake_case__					:      Union[str, Any]  			=						decoder_layers
           snake_case__					:      List[Any]  			=						decoder_attention_heads
           snake_case__					:      Optional[int]  			=						dropout
           snake_case__					:      List[str]  			=						attention_dropout
           snake_case__					:      List[str]  			=						activation_dropout
           snake_case__					:      List[str]  			=						activation_function
           snake_case__					:      Dict  			=						init_std
           snake_case__					:      int  			=						encoder_layerdrop
           snake_case__					:      Dict  			=						decoder_layerdrop
           snake_case__					:      Any  			=						classifier_dropout
           snake_case__					:      Tuple  			=						use_cache
           snake_case__					:      Tuple  			=						encoder_layers
           snake_case__					:      str  			=						attention_window

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







'''simple docstring'''






def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE = 1000		)						->      int:
      snake_case__					:      List[str]  			=						0
      snake_case__					:      int  			=						(n - 1) // 3
      total += ((terms) * (6 + (terms - 1) * 3)) // 2  # total of an A.P.
      snake_case__					:      Optional[Any]  			=						(n - 1) // 5
      total += ((terms) * (10 + (terms - 1) * 5)) // 2
      snake_case__					:      Tuple  			=						(n - 1) // 15
      total -= ((terms) * (30 + (terms - 1) * 15)) // 2
      return total


if __name__ == "__main__":
      print(F'{solution() = }')
