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


_lowerCamelCase :    Union[str, Any]  							= logging.get_logger(__name__)

_lowerCamelCase :    Optional[int]  							= {
    '''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       (__lowerCamelCase      ):







							"""simple docstring"""




							UpperCAmelCase_      						=   "glpn"






							def __init__( self     :					List[Any],			_UpperCAmelCase     :					Union[str, Any]=3,			_UpperCAmelCase     :					Optional[Any]=4,			_UpperCAmelCase     :					List[Any]=[2, 2, 2, 2],			_UpperCAmelCase     :					Dict=[8, 4, 2, 1],			_UpperCAmelCase     :					int=[3_2, 6_4, 1_6_0, 2_5_6],			_UpperCAmelCase     :					int=[7, 3, 3, 3],			_UpperCAmelCase     :					int=[4, 2, 2, 2],			_UpperCAmelCase     :					Optional[int]=[1, 2, 5, 8],			_UpperCAmelCase     :					List[Any]=[4, 4, 4, 4],			_UpperCAmelCase     :					Optional[Any]="gelu",			_UpperCAmelCase     :					Any=0.0,			_UpperCAmelCase     :					Any=0.0,			_UpperCAmelCase     :					Union[str, Any]=0.02,			_UpperCAmelCase     :					Optional[int]=0.1,			_UpperCAmelCase     :					List[str]=1E-6,			_UpperCAmelCase     :					str=6_4,			_UpperCAmelCase     :					Any=1_0,			_UpperCAmelCase     :					Union[str, Any]=-1,			**_UpperCAmelCase     :					Union[str, Any],			)				->			Dict:





														"""simple docstring"""
														super().__init__(**_UpperCAmelCase						)

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













def _a (  SCREAMING_SNAKE_CASE__      :  str			,				SCREAMING_SNAKE_CASE__      :  str       )	->    int:

							'''simple docstring'''






							if len(SCREAMING_SNAKE_CASE__       ) != len(SCREAMING_SNAKE_CASE__       ):
														raise ValueError("String lengths must match!"       )

							SCREAMING_SNAKE_CASE__       :      Dict     =						0

							for chara, chara in zip(SCREAMING_SNAKE_CASE__			,				SCREAMING_SNAKE_CASE__       ):
														if chara != chara:
																					count += 1

							return count


if __name__ == "__main__":
		import doctest

		doctest.testmod()






