





from __future__ import annotations

from typing import Any





class 					A__       (				UpperCamelCase__      ):




   """simple docstring"""



   pass





class 					A__       :




   """simple docstring"""



   def __init__(   self   ,    lowercase)     ->		None:







          '''simple docstring'''

          a__		:      str					=							data
          a__		:      str					=							None

   def __iter__(   self)     ->		str:







          '''simple docstring'''

          a__		:      Union[str, Any]					=							self
          a__		:      Optional[Any]					=							[]
          while node:
                 if node in visited:
                        raise ContainsLoopError
                 visited.append(lowercase_)
                 yield node.data
                 a__		:      List[str]					=							node.next_node

   @property
   def 				__lowercase						(   self)     ->		bool:







          '''simple docstring'''

          try:
                 list(self)
                 return False
          except ContainsLoopError:
                 return True


if __name__ == "__main__":
    lowercase :			List[str]     		=    Node(1)
    lowercase :			List[str]     		=    Node(2)
    lowercase :			Tuple     		=    Node(3)
    lowercase :			Any     		=    Node(4)
    print(root_node.has_loop)  # False
    lowercase :			str     		=    root_node.next_node
    print(root_node.has_loop)  # True

    lowercase :			List[str]     		=    Node(5)
    lowercase :			Any     		=    Node(6)
    lowercase :			Optional[int]     		=    Node(5)
    lowercase :			Optional[Any]     		=    Node(6)
    print(root_node.has_loop)  # False

    lowercase :			Dict     		=    Node(1)
    print(root_node.has_loop)  # False









'''simple docstring'''

from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin






class   UpperCAmelCase      (			UpperCamelCase__     ,			UpperCamelCase__							):
 @register_to_config
 def __init__(							self :List[str]		,			lowercase_ :int = 7_68		,			)->				str:
     super().__init__()

     A__							=     nn.Parameter(torch.zeros(1		,			lowercase_				)				)
     A__							=     nn.Parameter(torch.ones(1		,			lowercase_				)				)
 def 	UpperCAmelCase_				(							self :List[Any]		,			lowercase_ :Optional[Union[str, torch.device]] = None		,			lowercase_ :Optional[torch.dtype] = None		,			)->				Tuple:
     A__							=     nn.Parameter(self.mean.to(lowercase_				).to(lowercase_				)				)
     A__							=     nn.Parameter(self.std.to(lowercase_				).to(lowercase_				)				)
     return self
 def 	UpperCAmelCase_				(							self :Optional[int]		,			lowercase_ :str				)->				Union[str, Any]:
     A__							=     (embeds - self.mean) * 1.0 / self.std
     return embeds



 def 	UpperCAmelCase_				(							self :Any		,			lowercase_ :List[Any]				)->				Tuple:
     A__							=     (embeds * self.std) + self.mean
     return embeds



