
class UpperCAmelCase  :





   '''simple docstring'''


   def __init__(   self	:				Optional[int]     ,     lowerCAmelCase_	:				List[str]	):

      """simple docstring"""
      _A:    Tuple						     =			data
      _A:    Any						     =			None
      _A:    str						     =			None


   def __str__(   self	:				Optional[int]	):

      """simple docstring"""
      return F"""{self.data}"""






class UpperCAmelCase  :





   '''simple docstring'''


   def __init__(   self	:				int	):

      """simple docstring"""
      _A:    Dict						     =			None
      _A:    int						     =			None


   def __iter__(   self	:				List[str]	):

      """simple docstring"""
      _A:    int						     =			self.head
      while node:
         yield node.data
         _A:    int						     =			node.next


   def __str__(   self	:				Union[str, Any]	):

      """simple docstring"""
      return "->".join([str(lowerCAmelCase_	) for item in self]	)


   def __len__(   self	:				Optional[int]	):

      """simple docstring"""
      return sum(1 for _ in self	)


   def 					__magic_name__							(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				Union[str, Any]	):

      """simple docstring"""
      self.insert_at_nth(0     ,     lowerCAmelCase_	)


   def 					__magic_name__							(   self	:				Dict     ,     lowerCAmelCase_	:				str	):

      """simple docstring"""
      self.insert_at_nth(len(self	)     ,     lowerCAmelCase_	)


   def 					__magic_name__							(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				int     ,     lowerCAmelCase_	:				List[Any]	):

      """simple docstring"""
      _A:    Optional[Any]						     =			len(self	)

      if not 0 <= index <= length:
         raise IndexError('''list index out of range'''	)
      _A:    int						     =			Node(lowerCAmelCase_	)
      if self.head is None:
         _A:    Union[str, Any]						     =			new_node
      elif index == 0:
         _A:    Dict						     =			new_node
         _A:    Tuple						     =			self.head
         _A:    Optional[Any]						     =			new_node
      elif index == length:
         _A:    int						     =			new_node
         _A:    List[Any]						     =			self.tail
         _A:    Tuple						     =			new_node
      else:
         _A:    Any						     =			self.head
         for _ in range(0     ,     lowerCAmelCase_	):
            _A:    Optional[int]						     =			temp.next
         _A:    Union[str, Any]						     =			new_node
         _A:    List[str]						     =			temp.previous
         _A:    Dict						     =			temp
         _A:    Optional[int]						     =			new_node


   def 					__magic_name__							(   self	:				str	):

      """simple docstring"""
      return self.delete_at_nth(0	)


   def 					__magic_name__							(   self	:				Optional[Any]	):

      """simple docstring"""
      return self.delete_at_nth(len(self	) - 1	)


   def 					__magic_name__							(   self	:				str     ,     lowerCAmelCase_	:				int	):

      """simple docstring"""
      _A:    Optional[Any]						     =			len(self	)

      if not 0 <= index <= length - 1:
         raise IndexError('''list index out of range'''	)
      _A:    int						     =			self.head  # default first node
      if length == 1:
         _A:    Optional[int]						     =			None
      elif index == 0:
         _A:    int						     =			self.head.next
         _A:    Tuple						     =			None
      elif index == length - 1:
         _A:    Optional[Any]						     =			self.tail
         _A:    Any						     =			self.tail.previous
         _A:    Union[str, Any]						     =			None
      else:
         _A:    Optional[Any]						     =			self.head
         for _ in range(0     ,     lowerCAmelCase_	):
            _A:    Any						     =			temp.next
         _A:    str						     =			temp
         _A:    int						     =			temp.previous
         _A:    List[Any]						     =			temp.next
      return delete_node.data


   def 					__magic_name__							(   self	:				Tuple     ,     lowerCAmelCase_	:				Tuple	):

      """simple docstring"""
      _A:    int						     =			self.head

      while current.data != data:  # Find the position to delete
         if current.next:
            _A:    Tuple						     =			current.next
         else:  # We have reached the end an no value matches
            raise ValueError('''No data matching given value'''	)

      if current == self.head:
         self.delete_head()

      elif current == self.tail:
         self.delete_tail()

      else:  # Before: 1 <--> 2(current) <--> 3
         _A:    str						     =			current.next  # 1 --> 3
         _A:    int						     =			current.previous  # 1 <--> 3
      return data


   def 					__magic_name__							(   self	:				str	):

      """simple docstring"""
      return len(self	) == 0






def     lowerCamelCase__				(   ) ->  None:
   _A:    Any						     =			DoublyLinkedList()
   assert linked_list.is_empty() is True
   assert str(a ) == ""

   try:
      linked_list.delete_head()
      raise AssertionError  # This should not happen.
   except IndexError:
      assert True  # This should happen.

   try:
      linked_list.delete_tail()
      raise AssertionError  # This should not happen.
   except IndexError:
      assert True  # This should happen.

   for i in range(10 ):
      assert len(a ) == i
      linked_list.insert_at_nth(a						,						i + 1 )
   assert str(a ) == "->".join(str(a ) for i in range(1						,						11 ) )

   linked_list.insert_at_head(0 )
   linked_list.insert_at_tail(11 )
   assert str(a ) == "->".join(str(a ) for i in range(0						,						12 ) )

   assert linked_list.delete_head() == 0
   assert linked_list.delete_at_nth(9 ) == 10
   assert linked_list.delete_tail() == 11
   assert len(a ) == 9
   assert str(a ) == "->".join(str(a ) for i in range(1						,						10 ) )


if __name__ == "__main__":
   from doctest import testmod

   testmod()





import math
from collections import OrderedDict

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

from .utils import logging


UpperCAmelCase__						:	Any	     = logging.get_logger(__name__)






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def __init__(   self	:				List[str]	):

      """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 					__magic_name__							(   self	:				Any     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return nn.functional.gelu(lowerCAmelCase_     ,     approximate='''tanh'''	)






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def 					__magic_name__							(   self	:				Tuple     ,     lowerCAmelCase_	:				Tensor	):

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






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def __init__(   self	:				Tuple     ,     lowerCAmelCase_	:				bool = False	):

      """simple docstring"""
      super().__init__()
      if use_gelu_python:
         _A:    Union[str, Any]						     =			self._gelu_python
      else:
         _A:    Union[str, Any]						     =			nn.functional.gelu


   def 					__magic_name__							(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				Tensor	):

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


   def 					__magic_name__							(   self	:				Any     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return self.act(lowerCAmelCase_	)






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def 					__magic_name__							(   self	:				Optional[int]     ,     lowerCAmelCase_	:				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 					__magic_name__							(   self	:				Optional[int]     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return input * torch.sigmoid(1.702 * input	)






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def __init__(   self	:				str     ,     lowerCAmelCase_	:				float     ,     lowerCAmelCase_	:				float	):

      """simple docstring"""
      if min > max:
         raise ValueError(F"""min should be < max (got min: {min}, max: {max})"""	)

      super().__init__()
      _A:    Tuple						     =			min
      _A:    str						     =			max


   def 					__magic_name__							(   self	:				int     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return torch.clip(gelu(lowerCAmelCase_	)     ,     self.min     ,     self.max	)






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def __init__(   self	:				Optional[Any]	):

      """simple docstring"""
      super().__init__()
      _A:    Any						     =			math.sqrt(2 / math.pi	)


   def 					__magic_name__							(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return 0.5 * input * (1 + torch.tanh(self.precomputed_constant * (input + 0.044715 * torch.pow(lowerCAmelCase_     ,     3	))	))






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def 					__magic_name__							(   self	:				str     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return nn.functional.silu(lowerCAmelCase_	)






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def __init__(   self	:				Union[str, Any]	):

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


   def 					__magic_name__							(   self	:				Optional[int]     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return input * torch.tanh(nn.functional.softplus(lowerCAmelCase_	)	)


   def 					__magic_name__							(   self	:				Any     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return self.act(lowerCAmelCase_	)






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def 					__magic_name__							(   self	:				Tuple     ,     lowerCAmelCase_	:				Tensor	):

      """simple docstring"""
      return input






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def 					__magic_name__							(   self	:				Dict     ,     lowerCAmelCase_	:				List[str]     ,     lowerCAmelCase_	:				Tuple=0.707107     ,     lowerCAmelCase_	:				Union[str, Any]=0.282095	):

      """simple docstring"""
      _A:    Any						     =			(input - mu).div(sigma * math.sqrt(2.0	)	)
      return 0.5 * (1.0 + torch.erf(lowerCAmelCase_	))






class UpperCAmelCase  (		nn.Module  ):





   '''simple docstring'''


   def 					__magic_name__							(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				List[Any]	):

      """simple docstring"""
      _A:    Optional[int]						     =			nn.functional.relu(lowerCAmelCase_	)
      _A:    Any						     =			torch.square(lowerCAmelCase_	)
      return squared






class UpperCAmelCase  (		SCREAMING_SNAKE_CASE__  ):





   '''simple docstring'''


   def __getitem__(   self	:				List[Any]     ,     lowerCAmelCase_	:				Tuple	):

      """simple docstring"""
      _A:    Any						     =			super().__getitem__(lowerCAmelCase_	)
      _A     ,    _A:    List[str]						     =			content if isinstance(lowerCAmelCase_     ,     lowerCAmelCase_	) else (content, {})
      return cls(**lowerCAmelCase_	)

UpperCAmelCase__						:	List[str]	     = {
    '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,
}
UpperCAmelCase__						:	List[str]	     = ClassInstantier(ACTaCLS)






def     lowerCamelCase__				(   a ) ->  List[str]:
   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
UpperCAmelCase__						:	Any	     = get_activation('gelu_python')
UpperCAmelCase__						:	Dict	     = get_activation('gelu_new')
UpperCAmelCase__						:	List[Any]	     = get_activation('gelu')
UpperCAmelCase__						:	Dict	     = get_activation('gelu_fast')
UpperCAmelCase__						:	str	     = get_activation('quick_gelu')
UpperCAmelCase__						:	Union[str, Any]	     = get_activation('silu')
UpperCAmelCase__						:	List[Any]	     = get_activation('mish')





UpperCAmelCase__						:	int	     = get_activation('linear')



