




'''simple docstring'''
from __future__ import annotations

from typing import Generic, TypeVar

A							:      Union[str, Any] 	=       TypeVar("""T""")






class        SCREAMING_SNAKE_CASE(				Generic[T]     ):

       def __init__(    self					,		lowerCamelCase__     )    ->					str:

           """simple docstring"""



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






class        SCREAMING_SNAKE_CASE(				Generic[T]     ):

       def __init__(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						None

       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					None:

           """simple docstring"""



           if self.head is None:
               __lowercase							=						Node(_a     )
           else:
               __lowercase							=						Node(_a     )
               __lowercase							=						new_node
               __lowercase							=						self.head
               __lowercase							=						None
               __lowercase							=						new_node

       def     snake_case__			(    self     )    ->					T | None:

           """simple docstring"""



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

       def     snake_case__			(    self     )    ->					T | None:

           """simple docstring"""



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

       def __len__(    self     )    ->					int:

           """simple docstring"""



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

       def     snake_case__			(    self     )    ->					bool:

           """simple docstring"""



           return self.head is None




       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



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








from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers

class   A__							:




						def __init__(				self    :					List[Any] ,			_a    :					List[Any]     )							->   None:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE	     =vocab
										_SCREAMING_SNAKE_CASE	     =normalizers.BertNormalizer(
										    clean_text=_a ,			handle_chinese_chars=_a ,			strip_accents=_a ,			lowercase=_a ,			)
										try:
														import rjieba
										except ImportError:
														raise ImportError(
														    '''You need to install rjieba to use RoFormerTokenizer. '''
														    '''See https://pypi.org/project/rjieba/ for installation.'''     )
										_SCREAMING_SNAKE_CASE	     =rjieba




						def 							__UpperCamelCase (				self    :					List[Any] ,			_a    :					int ,			_a    :					NormalizedString     )							->   List[NormalizedString]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE	     =[]

										# this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
										for token, start, end in self.jieba.tokenize(str(_a     ) ,			hmm=_a     ):
														if token in self.vocab:
																		splits.append(normalized_string[start:end]     )
														else:
																		_SCREAMING_SNAKE_CASE	     =self.normalizers.normalize_str(_a     ).split()
																		for token in token_list:
																						if token:
																										_SCREAMING_SNAKE_CASE	     =start + len(_a     )
																										splits.append(normalized_string[start:end]     )
																										_SCREAMING_SNAKE_CASE	     =end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

										return splits




						def 							__UpperCamelCase (				self    :					List[Any] ,			_a    :					PreTokenizedString     )							->   int:


										"""simple docstring"""





										pretok.split(self.jieba_split     )