
"""simple docstring"""







import math
from collections import OrderedDict

import torch
from packaging import version
from torch import Tensor, nn

from .utils import logging


lowercase_						    =					logging.get_logger(__name__)



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def __init__( self       : Optional[int] )->					int:



      """simple docstring"""

      super().__init__()
      if version.parse(torch.__version__ ) < version.parse("""1.12.0""" ):
           raise ImportError(
               f'''You are using torch=={torch.__version__}, but torch>=1.12.0 is required to use '''
               """PytorchGELUTanh. Please upgrade torch.""" )






 def   a      ( self       : List[Any]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return nn.functional.gelu(a_     ,   approximate="""tanh""" )



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def   a      ( self       : Union[str, Any]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi ) * (input + 0.044715 * torch.pow(a_     ,   3.0 )) ))



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def __init__( self       : Dict     ,   a_       : bool = False )->					Dict:



      """simple docstring"""

      super().__init__()
      if use_gelu_python:
           UpperCAmelCase_						:    List[Any]    					=  self._gelu_python
      else:
           UpperCAmelCase_						:    str    					=  nn.functional.gelu




 def   a      ( self       : Optional[int]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return input * 0.5 * (1.0 + torch.erf(input / math.sqrt(2.0 ) ))






 def   a      ( self       : Any     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return self.act(a_ )



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def   a      ( self       : List[Any]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return 0.5 * input * (1.0 + torch.tanh(input * 0.7978845608 * (1.0 + 0.044715 * input * input) ))



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def   a      ( self       : Optional[Any]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return input * torch.sigmoid(1.702 * input )



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def __init__( self       : str     ,   a_       : float     ,   a_       : float )->					int:



      """simple docstring"""

      if min > max:
           raise ValueError(f'''min should be < max (got min: {min}, max: {max})''' )

      super().__init__()
      UpperCAmelCase_						:    int    					=  min
      UpperCAmelCase_						:    Tuple    					=  max






 def   a      ( self       : Any     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return torch.clip(gelu(a_ )     ,   self.min     ,   self.max )



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def __init__( self       : List[Any] )->					List[str]:



      """simple docstring"""

      super().__init__()
      UpperCAmelCase_						:    Optional[int]    					=  math.sqrt(2 / math.pi )






 def   a      ( self       : Optional[int]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return 0.5 * input * (1 + torch.tanh(self.precomputed_constant * (input + 0.044715 * torch.pow(a_     ,   3 )) ))



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def   a      ( self       : Optional[Any]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return nn.functional.silu(a_ )



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def __init__( self       : int )->					Any:



      """simple docstring"""

      super().__init__()
      if version.parse(torch.__version__ ) < version.parse("""1.9.0""" ):
           UpperCAmelCase_						:    Optional[int]    					=  self._mish_python
      else:
           UpperCAmelCase_						:    int    					=  nn.functional.mish




 def   a      ( self       : Union[str, Any]     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return input * torch.tanh(nn.functional.softplus(a_ ) )






 def   a      ( self       : Any     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return self.act(a_ )



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def   a      ( self       : str     ,   a_       : Tensor )->					Tensor:



      """simple docstring"""

      return input



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def   a      ( self       : Optional[int]     ,   a_       : List[Any]     ,   a_       : Optional[Any]=0.707107     ,   a_       : Any=0.282095 )->					Optional[int]:



      """simple docstring"""

      UpperCAmelCase_						:    Optional[int]    					=  (input - mu).div(sigma * math.sqrt(2.0 ) )
      return 0.5 * (1.0 + torch.erf(a_ ))



class 				UpperCAmelCase_	(nn.Module						):
 """simple docstring"""




 def   a      ( self       : Tuple     ,   a_       : Union[str, Any] )->					Dict:



      """simple docstring"""

      UpperCAmelCase_						:    Any    					=  nn.functional.relu(a_ )
      UpperCAmelCase_						:    Union[str, Any]    					=  torch.square(a_ )
      return squared



class 				UpperCAmelCase_	(lowerCamelCase_						):
 """simple docstring"""




 def __getitem__( self       : Dict     ,   a_       : int )->					Optional[Any]:



      """simple docstring"""

      UpperCAmelCase_						:    Union[str, Any]    					=  super().__getitem__(a_ )
      UpperCAmelCase_						:    Union[str, Any]    					=  content if isinstance(a_     ,   a_ ) else (content, {})
      return cls(**a_ )

lowercase_						    =					{
    "gelu": GELUActivation,
    "gelu_10": (ClippedGELUActivation, {"min": -10, "max": 10}),
    "gelu_fast": FastGELUActivation,
    "gelu_new": NewGELUActivation,
    "gelu_python": (GELUActivation, {"use_gelu_python": True}),
    "gelu_pytorch_tanh": PytorchGELUTanh,
    "gelu_accurate": AccurateGELUActivation,
    "laplace": LaplaceActivation,
    "linear": LinearActivation,
    "mish": MishActivation,
    "quick_gelu": QuickGELUActivation,
    "relu": nn.ReLU,
    "relu2": ReLUSquaredActivation,
    "relu6": nn.ReLUa,
    "sigmoid": nn.Sigmoid,
    "silu": SiLUActivation,
    "swish": SiLUActivation,
    "tanh": nn.Tanh,
}
lowercase_						    =					ClassInstantier(ACTaCLS)




def 			A_			(					lowercase      )     ->							str:


     """simple docstring"""







     if activation_string in ACTaFN:
          return ACTaFN[activation_string]
     else:
          raise KeyError(f'''function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys()      )}'''      )


# For backwards compatibility with: from activations import gelu_python
lowercase_						    =					get_activation("gelu_python")
lowercase_						    =					get_activation("gelu_new")
lowercase_						    =					get_activation("gelu")
lowercase_						    =					get_activation("gelu_fast")
lowercase_						    =					get_activation("quick_gelu")
lowercase_						    =					get_activation("silu")
lowercase_						    =					get_activation("mish")


lowercase_						    =					get_activation("linear")



"""simple docstring"""







from __future__ import annotations



class 		UpperCAmelCase_	:
 """simple docstring"""




 def __init__( self       : Any     ,   a_       : int = 0 )->					None:



      """simple docstring"""

      UpperCAmelCase_						:    Tuple    					=  value
      UpperCAmelCase_						:    Node | None    					=  None
      UpperCAmelCase_						:    Node | None    					=  None




def 			A_			(					lowercase						, lowercase      )     ->							Node | None:


     """simple docstring"""







     if treea is None:
          return treea
     if treea is None:
          return treea

     UpperCAmelCase_						:    int    					=  treea.value + treea.value
     UpperCAmelCase_						:    List[str]    					=  merge_two_binary_trees(treea.left						, treea.left      )
     UpperCAmelCase_						:    List[str]    					=  merge_two_binary_trees(treea.right						, treea.right      )
     return treea




def 			A_			(					lowercase      )     ->							None:


     """simple docstring"""







     if root:
          print(root.value      )
          print_preorder(root.left      )
          print_preorder(root.right      )


if __name__ == "__main__":
       lowercase_						    =					Node(1)
       lowercase_						    =					Node(2)
       lowercase_						    =					Node(3)
       lowercase_						    =					Node(4)

       lowercase_						    =					Node(2)
       lowercase_						    =					Node(4)
       lowercase_						    =					Node(6)
       lowercase_						    =					Node(9)
       lowercase_						    =					Node(5)

       print("Tree1 is: ")
       print_preorder(treea)
       print("Tree2 is: ")
       print_preorder(treea)
       lowercase_						    =					merge_two_binary_trees(treea, treea)
       print("Merged Tree is: ")
       print_preorder(merged_tree)

