


"""simple docstring"""


from math import factorial


class 			A__	:


     """simple docstring"""

     def __init__(	self:						Dict     ,		__a:						Tuple     ,		__a:						Optional[Any]	)->    str:
           lowerCamelCase					:					Optional[Any]        =	real
           if isinstance(__a     ,		__a	):
                 lowerCamelCase					:					Tuple        =	[1] * rank
           else:
                 lowerCamelCase					:					Any        =	rank

     def __repr__(	self:						int	)->    Any:
           return (
               f'{self.real}+'
               f'{"+".join(str(__a	)+"E"+str(n+1	)for n,dual in enumerate(self.duals	)	)}'
           )

     def 		a__						(	self:						List[Any]	)->    Union[str, Any]:
           lowerCamelCase					:					Tuple        =	self.duals.copy()
           while cur[-1] == 0:
                 cur.pop(-1	)
           return Dual(self.real     ,		__a	)

     def __add__(	self:						Optional[Any]     ,		__a:						int	)->    Any:
           if not isinstance(__a     ,		__a	):
                 return Dual(self.real + other     ,		self.duals	)
           lowerCamelCase					:					Optional[Any]        =	self.duals.copy()
           lowerCamelCase					:					Any        =	other.duals.copy()
           if len(__a	) > len(__a	):
                 o_dual.extend([1] * (len(__a	) - len(__a	))	)
           elif len(__a	) < len(__a	):
                 s_dual.extend([1] * (len(__a	) - len(__a	))	)
           lowerCamelCase					:					Optional[Any]        =	[]
           for i in range(len(__a	)	):
                 new_duals.append(s_dual[i] + o_dual[i]	)
           return Dual(self.real + other.real     ,		__a	)

     snake_case__	:					List[str]													=__add__

     def __sub__(	self:						str     ,		__a:						List[str]	)->    Any:
           return self + other * -1

     def __mul__(	self:						Optional[int]     ,		__a:						List[Any]	)->    List[Any]:
           if not isinstance(__a     ,		__a	):
                 lowerCamelCase					:					Tuple        =	[]
                 for i in self.duals:
                       new_duals.append(i * other	)
                 return Dual(self.real * other     ,		__a	)
           lowerCamelCase					:					Any        =	[0] * (len(self.duals	) + len(other.duals	) + 1)
           for i, item in enumerate(self.duals	):
                 for j, jtem in enumerate(other.duals	):
                       new_duals[i + j + 1] += item * jtem
           for k in range(len(self.duals	)	):
                 new_duals[k] += self.duals[k] * other.real
           for index in range(len(other.duals	)	):
                 new_duals[index] += other.duals[index] * self.real
           return Dual(self.real * other.real     ,		__a	)

     snake_case__	:					str													=__mul__

     def __truediv__(	self:						Optional[Any]     ,		__a:						Any	)->    List[Any]:
           if not isinstance(__a     ,		__a	):
                 lowerCamelCase					:					List[str]        =	[]
                 for i in self.duals:
                       new_duals.append(i / other	)
                 return Dual(self.real / other     ,		__a	)
           raise ValueError

     def __floordiv__(	self:						List[str]     ,		__a:						Optional[Any]	)->    Tuple:
           if not isinstance(__a     ,		__a	):
                 lowerCamelCase					:					List[Any]        =	[]
                 for i in self.duals:
                       new_duals.append(i // other	)
                 return Dual(self.real // other     ,		__a	)
           raise ValueError







     def __pow__(	self:						List[str]     ,		__a:						Union[str, Any]	)->    List[Any]:
           if n < 0 or isinstance(__a     ,		__a	):
                 raise ValueError("""power must be a positive integer"""	)
           if n == 0:
                 return 1
           if n == 1:
                 return self
           lowerCamelCase					:					int        =	self
           for _ in range(n - 1	):
                 x *= self
           return x




def   snake_case		(     UpperCamelCase__       :						int			,				UpperCamelCase__       :						List[str]			,				UpperCamelCase__       :						Tuple    )   ->      Optional[int]:
      if not callable(UpperCamelCase__    ):
            raise ValueError("""differentiate() requires a function as input for func"""    )
      if not isinstance(UpperCamelCase__			,				(float, int)    ):
            raise ValueError("""differentiate() requires a float as input for position"""    )
      if not isinstance(UpperCamelCase__			,				UpperCamelCase__    ):
            raise ValueError("""differentiate() requires an int as input for order"""    )
      lowerCamelCase					:					Union[str, Any]        =	Dual(UpperCamelCase__			,				1    )
      lowerCamelCase					:					int        =	func(UpperCamelCase__    )
      if order == 0:
            return result.real
      return result.duals[order - 1] * factorial(UpperCamelCase__    )


if __name__ == "__main__":
      import doctest

      doctest.testmod()




      def   snake_case		(     UpperCamelCase__       :						Any    )   ->      Tuple:
            return y**2 * y**4






      print(differentiate(f, 9, 2))








"""simple docstring"""


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


__lowerCamelCase      :Tuple	    =		logging.get_logger(__name__)

__lowerCamelCase      :Any	    =		{
    '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__	(						__lowercase):


     """simple docstring"""
     snake_case__	:					Tuple													='''glpn'''

     def __init__(	self:						Dict     ,		__a:						List[str]=3     ,		__a:						Optional[int]=4     ,		__a:						Dict=[2, 2, 2, 2]     ,		__a:						str=[8, 4, 2, 1]     ,		__a:						Optional[int]=[32, 64, 160, 256]     ,		__a:						Dict=[7, 3, 3, 3]     ,		__a:						Dict=[4, 2, 2, 2]     ,		__a:						Optional[Any]=[1, 2, 5, 8]     ,		__a:						Tuple=[4, 4, 4, 4]     ,		__a:						int="gelu"     ,		__a:						Union[str, Any]=0.0     ,		__a:						str=0.0     ,		__a:						Union[str, Any]=0.02     ,		__a:						str=0.1     ,		__a:						Union[str, Any]=1e-6     ,		__a:						Any=64     ,		__a:						Dict=10     ,		__a:						Union[str, Any]=-1     ,		**__a:						Optional[Any]     ,		)->    Dict:
           super().__init__(**__a	)

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




