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


lowerCamelCase      =logging.get_logger(__name__)

lowerCamelCase      ={
    "vinvino02/glpn-kitti": "https://huggingface.co/vinvino02/glpn-kitti/resolve/main/config.json",
    # See all GLPN models at https://huggingface.co/models?filter=glpn
}




class 				_lowerCamelCase (      UpperCamelCase_ ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		   =  '''glpn'''






     def __init__(							self						,						__SCREAMING_SNAKE_CASE=3						,						__SCREAMING_SNAKE_CASE=4						,						__SCREAMING_SNAKE_CASE=[2, 2, 2, 2]						,						__SCREAMING_SNAKE_CASE=[8, 4, 2, 1]						,						__SCREAMING_SNAKE_CASE=[3_2, 6_4, 1_6_0, 2_5_6]						,						__SCREAMING_SNAKE_CASE=[7, 3, 3, 3]						,						__SCREAMING_SNAKE_CASE=[4, 2, 2, 2]						,						__SCREAMING_SNAKE_CASE=[1, 2, 5, 8]						,						__SCREAMING_SNAKE_CASE=[4, 4, 4, 4]						,						__SCREAMING_SNAKE_CASE="gelu"						,						__SCREAMING_SNAKE_CASE=0.0						,						__SCREAMING_SNAKE_CASE=0.0						,						__SCREAMING_SNAKE_CASE=0.02						,						__SCREAMING_SNAKE_CASE=0.1						,						__SCREAMING_SNAKE_CASE=1e-6						,						__SCREAMING_SNAKE_CASE=6_4						,						__SCREAMING_SNAKE_CASE=1_0						,						__SCREAMING_SNAKE_CASE=-1						,						**__SCREAMING_SNAKE_CASE						,						)  ->   List[str]:




           """simple docstring"""







           super().__init__(**__SCREAMING_SNAKE_CASE  )

           UpperCamelCase__    :   int					=				num_channels
           UpperCamelCase__    :   Any					=				num_encoder_blocks
           UpperCamelCase__    :   Tuple					=				depths
           UpperCamelCase__    :   Union[str, Any]					=				sr_ratios
           UpperCamelCase__    :   Tuple					=				hidden_sizes
           UpperCamelCase__    :   Any					=				patch_sizes
           UpperCamelCase__    :   str					=				strides
           UpperCamelCase__    :   Optional[Any]					=				mlp_ratios
           UpperCamelCase__    :   Union[str, Any]					=				num_attention_heads
           UpperCamelCase__    :   List[Any]					=				hidden_act
           UpperCamelCase__    :   Tuple					=				hidden_dropout_prob
           UpperCamelCase__    :   Optional[int]					=				attention_probs_dropout_prob
           UpperCamelCase__    :   Tuple					=				initializer_range
           UpperCamelCase__    :   Optional[int]					=				drop_path_rate
           UpperCamelCase__    :   List[str]					=				layer_norm_eps
           UpperCamelCase__    :   Optional[int]					=				decoder_hidden_size
           UpperCamelCase__    :   Any					=				max_depth
           UpperCamelCase__    :   str					=				head_in_index




import math


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   List[str]					=				math.loga(math.sqrt(4 * positive_integer + 1		) / 2 + 1 / 2		)

      return exponent == int(UpperCamelCase__		)


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ = 1 / 1_2_3_4_5		):
      UpperCamelCase__    :   Dict					=				0
      UpperCamelCase__    :   Tuple					=				0

      UpperCamelCase__    :   Optional[Any]					=				3
      while True:
            UpperCamelCase__    :   Union[str, Any]					=				(integer**2 - 1) / 4
            # if candidate is an integer, then there is a partition for k
            if partition_candidate == int(UpperCamelCase__		):
                  UpperCamelCase__    :   int					=				int(UpperCamelCase__		)
                  total_partitions += 1
                  if check_partition_perfect(UpperCamelCase__		):
                        perfect_partitions += 1
            if perfect_partitions > 0:
                  if perfect_partitions / total_partitions < max_proportion:
                        return int(UpperCamelCase__		)
            integer += 1


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


