"""simple docstring"""




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


_a      :		List[str]           =   logging.get_logger(__name__)

_a      :		Dict           =   {
    '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 						__A							( SCREAMING_SNAKE_CASE_		):
     _UpperCamelCase							:			str							=		"glpn"






     def __init__(		self				,     a__=3				,     a__=4				,     a__=[2, 2, 2, 2]				,     a__=[8, 4, 2, 1]				,     a__=[32, 64, 160, 256]				,     a__=[7, 3, 3, 3]				,     a__=[4, 2, 2, 2]				,     a__=[1, 2, 5, 8]				,     a__=[4, 4, 4, 4]				,     a__="gelu"				,     a__=0.0				,     a__=0.0				,     a__=0.0_2				,     a__=0.1				,     a__=1e-6				,     a__=64				,     a__=10				,     a__=-1				,     **a__				,     ):
       super().__init__(**a__  )

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





"""simple docstring"""




from __future__ import annotations

_a      :		List[str]           =   10





def 							SCREAMING_SNAKE_CASE     (			_lowerCamelCase						:       list[int]	)       ->      list[int]:
  _lowerCAmelCase						:       Optional[int]  			=     1
  _lowerCAmelCase						:       Union[str, Any]  			=     max(_lowerCamelCase	)
  while placement <= max_digit:
    # declare and initialize empty buckets
    _lowerCAmelCase						:       list[list]  			=     [[] for _ in range(_lowerCamelCase	)]
    # split list_of_ints between the buckets
    for i in list_of_ints:
      _lowerCAmelCase						:       Tuple  			=     int((i / placement) % RADIX	)
      buckets[tmp].append(_lowerCamelCase	)
    # put each buckets' contents into list_of_ints
    _lowerCAmelCase						:       List[str]  			=     0
    for b in range(_lowerCamelCase	):
      for i in buckets[b]:
        _lowerCAmelCase						:       Any  			=     i
        a += 1
        # move to next
    placement *= RADIX
  return list_of_ints


if __name__ == "__main__":
     import doctest

     doctest.testmod()




