





"""simple docstring"""


from __future__ import annotations

from typing import Generic, TypeVar

a__       :  str       		=					TypeVar("""T""")



class   lowercase_					(  Generic[T]				):

       def __init__(      self ,       __SCREAMING_SNAKE_CASE  ):






        '''simple docstring'''

        snake_case__     				=					data  # Assign data
        snake_case__     				=					None  # Initialize next as null
        snake_case__     				=					None  # Initialize prev as null



class   lowercase_					(  Generic[T]				):

       def __init__(      self  ):






        '''simple docstring'''

        snake_case__     				=					None

       def 		_SCREAMING_SNAKE_CASE(      self ,       __SCREAMING_SNAKE_CASE  ):






        '''simple docstring'''

        if self.head is None:
         snake_case__     				=					Node(__SCREAMING_SNAKE_CASE  )
        else:
         snake_case__     				=					Node(__SCREAMING_SNAKE_CASE  )
         snake_case__     				=					new_node
         snake_case__     				=					self.head
         snake_case__     				=					None
         snake_case__     				=					new_node

       def 		_SCREAMING_SNAKE_CASE(      self  ):






        '''simple docstring'''

        if self.head is None:
         return None
        else:
         assert self.head is not None
         snake_case__     				=					self.head.data
         snake_case__     				=					self.head.next
         if self.head is not None:
          snake_case__     				=					None
         return temp

       def 		_SCREAMING_SNAKE_CASE(      self  ):






        '''simple docstring'''

        return self.head.data if self.head is not None else None

       def __len__(      self  ):






        '''simple docstring'''

        snake_case__     				=					self.head
        snake_case__     				=					0
        while temp is not None:
         count += 1
         snake_case__     				=					temp.next
        return count

       def 		_SCREAMING_SNAKE_CASE(      self  ):






        '''simple docstring'''

        return self.head is None

       def 		_SCREAMING_SNAKE_CASE(      self  ):






        '''simple docstring'''

        print("stack elements are:"  )
        snake_case__     				=					self.head
        while temp is not None:
         print(temp.data ,       end="->"  )
         snake_case__     				=					temp.next


# Code execution starts here
if __name__ == "__main__":
   # Start with the empty stack
   a__       :  Stack[int]       		=					Stack()

   # Insert 4 at the beginning. So stack becomes 4->None
   print("""Stack operations using Doubly LinkedList""")
   stack.push(4)

   # Insert 5 at the beginning. So stack becomes 4->5->None
   stack.push(5)

   # Insert 6 at the beginning. So stack becomes 4->5->6->None
   stack.push(6)

   # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
   stack.push(7)

   # Print the stack
   stack.print_stack()

   # Print the top element
   print("""\nTop element is """, stack.top())

   # Print the stack size
   print("""Size of the stack is """, len(stack))

   # pop the top element
   stack.pop()

   # pop the top element
   stack.pop()

   # two elements have now been popped off
   stack.print_stack()

   # Print True if the stack is empty else False
   print("""\nstack is empty:""", stack.is_empty())








"""simple docstring"""


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


a__       :  List[Any]       		=					logging.get_logger(__name__)

a__       :  int       		=					{
    """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json""",
}



class   lowercase_					(  __lowerCAmelCase				):
       snake_case__					:				int									=  """mpnet"""

       def __init__(      self ,       __SCREAMING_SNAKE_CASE=3_0527 ,       __SCREAMING_SNAKE_CASE=768 ,       __SCREAMING_SNAKE_CASE=12 ,       __SCREAMING_SNAKE_CASE=12 ,       __SCREAMING_SNAKE_CASE=3072 ,       __SCREAMING_SNAKE_CASE="gelu" ,       __SCREAMING_SNAKE_CASE=0.1 ,       __SCREAMING_SNAKE_CASE=0.1 ,       __SCREAMING_SNAKE_CASE=512 ,       __SCREAMING_SNAKE_CASE=0.02 ,       __SCREAMING_SNAKE_CASE=1e-12 ,       __SCREAMING_SNAKE_CASE=32 ,       __SCREAMING_SNAKE_CASE=1 ,       __SCREAMING_SNAKE_CASE=0 ,       __SCREAMING_SNAKE_CASE=2 ,       **__SCREAMING_SNAKE_CASE ,       ):






        '''simple docstring'''

        super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE ,       bos_token_id=__SCREAMING_SNAKE_CASE ,       eos_token_id=__SCREAMING_SNAKE_CASE ,       **__SCREAMING_SNAKE_CASE  )

        snake_case__     				=					vocab_size
        snake_case__     				=					hidden_size
        snake_case__     				=					num_hidden_layers
        snake_case__     				=					num_attention_heads
        snake_case__     				=					hidden_act
        snake_case__     				=					intermediate_size
        snake_case__     				=					hidden_dropout_prob
        snake_case__     				=					attention_probs_dropout_prob
        snake_case__     				=					max_position_embeddings
        snake_case__     				=					initializer_range
        snake_case__     				=					layer_norm_eps
        snake_case__     				=					relative_attention_num_buckets

