


from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase           =		logging.get_logger(__name__)

lowerCAmelCase           =		{
    "andreasmadsen/efficient_mlm_m0.40": (
        "https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"
    ),
}





class       A    (   _a ):
							UpperCamelCase_   :							str       ='''roberta-prelayernorm'''


							def __init__(self      ,				lowerCAmelCase=5_0_2_6_5      ,				lowerCAmelCase=7_6_8      ,				lowerCAmelCase=1_2      ,				lowerCAmelCase=1_2      ,				lowerCAmelCase=3_0_7_2      ,				lowerCAmelCase="gelu"      ,				lowerCAmelCase=0.1      ,				lowerCAmelCase=0.1      ,				lowerCAmelCase=5_1_2      ,				lowerCAmelCase=2      ,				lowerCAmelCase=0.02      ,				lowerCAmelCase=1E-12      ,				lowerCAmelCase=1      ,				lowerCAmelCase=0      ,				lowerCAmelCase=2      ,				lowerCAmelCase="absolute"      ,				lowerCAmelCase=True      ,				lowerCAmelCase=None      ,				**lowerCAmelCase      ,				):
									super().__init__(pad_token_id=UpperCamelCase__      ,				bos_token_id=UpperCamelCase__      ,				eos_token_id=UpperCamelCase__      ,				**UpperCamelCase__					)

									__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       A    (   _a ):


							@property
							def 			_A       (self					):







									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),
									    ]					)











'''simple docstring'''


def 				__lowerCamelCase				(   A__ = 50    )       ->	int:






   """simple docstring"""
   UpperCamelCase					=  [1] * (length + 1)

   for row_length in range(3    ,						length + 1    ):
      for block_length in range(3    ,						row_length + 1    ):
         for block_start in range(row_length - block_length    ):
            ways_number[row_length] += ways_number[
                row_length - block_start - block_length - 1
            ]

         ways_number[row_length] += 1

   return ways_number[length]


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

