


"""simple docstring"""







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


__lowercase    					=      logging.get_logger(__name__)

__lowercase    					=      {
    """unc-nlp/lxmert-base-uncased""": """https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/config.json""",
}






class 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							Optional[Any]	=       """lxmert"""
    UpperCAmelCase       :							str	=       {}






    def __init__(					self				:    int				, __UpperCAmelCase				:    List[str]=30522				, __UpperCAmelCase				:    Optional[Any]=768				, __UpperCAmelCase				:    str=12				, __UpperCAmelCase				:    List[Any]=9500				, __UpperCAmelCase				:    Dict=1600				, __UpperCAmelCase				:    Tuple=400				, __UpperCAmelCase				:    List[str]=3072				, __UpperCAmelCase				:    Tuple="gelu"				, __UpperCAmelCase				:    str=0.1				, __UpperCAmelCase				:    Any=0.1				, __UpperCAmelCase				:    Union[str, Any]=512				, __UpperCAmelCase				:    Dict=2				, __UpperCAmelCase				:    List[str]=0.02				, __UpperCAmelCase				:    List[str]=1e-12				, __UpperCAmelCase				:    Optional[int]=9				, __UpperCAmelCase				:    List[str]=5				, __UpperCAmelCase				:    Dict=5				, __UpperCAmelCase				:    List[str]=2048				, __UpperCAmelCase				:    List[Any]=4				, __UpperCAmelCase				:    Tuple=6.67				, __UpperCAmelCase				:    Optional[int]=True				, __UpperCAmelCase				:    int=True				, __UpperCAmelCase				:    Optional[int]=True				, __UpperCAmelCase				:    Optional[Any]=True				, __UpperCAmelCase				:    List[Any]=True				, __UpperCAmelCase				:    Optional[Any]=True				, __UpperCAmelCase				:    Optional[int]=True				, **__UpperCAmelCase				:    str				, ):
      a						:		Tuple      							=			vocab_size
      a						:		Optional[Any]      							=			hidden_size
      a						:		List[str]      							=			num_attention_heads
      a						:		int      							=			hidden_act
      a						:		Dict      							=			intermediate_size
      a						:		Optional[Any]      							=			hidden_dropout_prob
      a						:		Tuple      							=			attention_probs_dropout_prob
      a						:		str      							=			max_position_embeddings
      a						:		Optional[int]      							=			type_vocab_size
      a						:		str      							=			initializer_range
      a						:		Tuple      							=			layer_norm_eps
      a						:		Any      							=			num_qa_labels
      a						:		str      							=			num_object_labels
      a						:		Any      							=			num_attr_labels
      a						:		Union[str, Any]      							=			l_layers
      a						:		int      							=			x_layers
      a						:		str      							=			r_layers
      a						:		Dict      							=			visual_feat_dim
      a						:		int      							=			visual_pos_dim
      a						:		Optional[int]      							=			visual_loss_normalizer
      a						:		Any      							=			task_matched
      a						:		Optional[int]      							=			task_mask_lm
      a						:		Union[str, Any]      							=			task_obj_predict
      a						:		List[str]      							=			task_qa
      a						:		Any      							=			visual_obj_loss
      a						:		Union[str, Any]      							=			visual_attr_loss
      a						:		int      							=			visual_feat_loss
      a						:		int      							=			{"vision": r_layers, "cross_encoder": x_layers, "language": l_layers}
      super().__init__(**__UpperCAmelCase)













from itertools import count


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase = 50 )			->     int:
    lowerCamelCase__    :      Optional[Any]					 =		[1] * min_block_length

    for n in count(_UpperCAmelCase ):
        fill_count_functions.append(1 )

        for block_length in range(_UpperCAmelCase						,	n + 1 ):
            for block_start in range(n - block_length ):
                fill_count_functions[n] += fill_count_functions[
                    n - block_start - block_length - 1
                ]

            fill_count_functions[n] += 1

        if fill_count_functions[n] > 100_0000:
            break

    return n


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





