





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase_					     =	logging.get_logger(__name__)

lowercase_					     =	{
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}
class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):
   _UpperCamelCase					:	Optional[int]				      = 'roberta-prelayernorm'


   def __init__(					self    :       List[Any]    ,  a    :       int=50_265    ,  a    :       Any=768    ,  a    :       str=12    ,  a    :       List[str]=12    ,  a    :       Any=3_072    ,  a    :       List[Any]="gelu"    ,  a    :       Tuple=0.1    ,  a    :       int=0.1    ,  a    :       Dict=512    ,  a    :       List[Any]=2    ,  a    :       str=0.02    ,  a    :       str=1E-1_2    ,  a    :       List[Any]=1    ,  a    :       Optional[int]=0    ,  a    :       Optional[Any]=2    ,  a    :       Any="absolute"    ,  a    :       Optional[Any]=True    ,  a    :       Any=None    ,  **a    :       Union[str, Any]    ,  )->     List[Any]:





     """simple docstring"""







     super().__init__(pad_token_id=a    ,  bos_token_id=a    ,  eos_token_id=a    ,  **a )

     lowercase__			    =						vocab_size
     lowercase__			    =						hidden_size
     lowercase__			    =						num_hidden_layers
     lowercase__			    =						num_attention_heads
     lowercase__			    =						hidden_act
     lowercase__			    =						intermediate_size
     lowercase__			    =						hidden_dropout_prob
     lowercase__			    =						attention_probs_dropout_prob
     lowercase__			    =						max_position_embeddings
     lowercase__			    =						type_vocab_size
     lowercase__			    =						initializer_range
     lowercase__			    =						layer_norm_eps
     lowercase__			    =						position_embedding_type
     lowercase__			    =						use_cache
     lowercase__			    =						classifier_dropout






class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):


   @property
   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict )->     Mapping[str, Mapping[int, str]]:





     """simple docstring"""







     if self.task == "multiple-choice":
       lowercase__			    =						{0: 'batch', 1: 'choice', 2: 'sequence'}
     else:
       lowercase__			    =						{0: 'batch', 1: 'sequence'}
     return OrderedDict(
         [
             ('input_ids', dynamic_axis),
             ('attention_mask', dynamic_axis),
         ] )









def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE = 50	)       ->     int:
  lowercase__			    =						[[0] * 3 for _ in range(length + 1	)]

  for row_length in range(length + 1	):
    for tile_length in range(2	,		5	):
      for tile_start in range(row_length - tile_length + 1	):
        different_colour_ways_number[row_length][tile_length - 2] += (
            different_colour_ways_number[row_length - tile_start - tile_length][
                tile_length - 2
            ]
            + 1
        )

  return sum(different_colour_ways_number[length]	)


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


