





"""simple docstring"""
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 					_SCREAMING_SNAKE_CASE(   A  ):
       SCREAMING_SNAKE_CASE_   :      Any							=  '''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__=[32, 64, 1_60, 2_56]		,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__=0.0_2		,SCREAMING_SNAKE_CASE__=0.1		,SCREAMING_SNAKE_CASE__=1E-6		,SCREAMING_SNAKE_CASE__=64		,SCREAMING_SNAKE_CASE__=10		,SCREAMING_SNAKE_CASE__=-1		,**SCREAMING_SNAKE_CASE__		,)			->      Any:





             """simple docstring"""






             super().__init__(**SCREAMING_SNAKE_CASE__							)

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






"""simple docstring"""
from collections.abc import Callable

import numpy as np



def      __lowerCamelCase   (							a_     :		Callable ,   a_     :		float ,   a_     :		float ,   a_     :		float ,   a_     :		float							)			->      np.ndarray:
      __SCREAMING_SNAKE_CASE   :List[Any]						=  int(np.ceil((x_end - xa) / step_size							)							)
      __SCREAMING_SNAKE_CASE   :Optional[Any]						=  np.zeros((n + 1,)							)
      __SCREAMING_SNAKE_CASE   :int						=  ya
      __SCREAMING_SNAKE_CASE   :str						=  xa

      for k in range(a_							):
            __SCREAMING_SNAKE_CASE   :Optional[int]						=  y[k] + step_size * ode_func(a_ ,   y[k]							)
            x += step_size

      return y


if __name__ == "__main__":
  import doctest

  doctest.testmod()