



from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers
class       _lowerCAmelCase :






			"""simple docstring"""





			def __init__(					self						:							Dict      ,  lowercase						:							Optional[int] )    ->       None:
									"""simple docstring"""







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





			def 		snake_case__      (					self						:							List[Any]      ,  lowercase						:							int      ,  lowercase						:							NormalizedString )    ->       List[NormalizedString]:
									"""simple docstring"""







									__lowercase											=					[]

									# this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
									for token, start, end in self.jieba.tokenize(str(lowercase )      ,  hmm=lowercase ):
															if token in self.vocab:
																					splits.append(normalized_string[start:end] )
															else:
																					__lowercase											=					self.normalizers.normalize_str(lowercase ).split()
																					for token in token_list:
																											if token:
																																	__lowercase											=					start + len(lowercase )
																																	splits.append(normalized_string[start:end] )
																																	__lowercase											=					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 		snake_case__      (					self						:							Any      ,  lowercase						:							PreTokenizedString )    ->       Optional[Any]:
									"""simple docstring"""







									pretok.split(self.jieba_split )










from __future__ import annotations

from typing import Generic, TypeVar

UpperCamelCase__			=    TypeVar("T")
class       _lowerCAmelCase (			Generic[T]      ):






			"""simple docstring"""





			def __init__(					self						:							int      ,  lowercase						:							T )    ->       Union[str, Any]:
									"""simple docstring"""







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





class       _lowerCAmelCase (			Generic[T]      ):






			"""simple docstring"""





			def __init__(					self						:							Any )    ->       None:
									"""simple docstring"""







									__lowercase											=					None





			def 		snake_case__      (					self						:							str      ,  lowercase						:							T )    ->       None:
									"""simple docstring"""







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





			def 		snake_case__      (					self						:							Optional[Any] )    ->       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						:							Optional[Any] )    ->       T | None:
									"""simple docstring"""







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





			def __len__(					self						:							List[str] )    ->       int:
									"""simple docstring"""







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





			def 		snake_case__      (					self						:							Optional[Any] )    ->       bool:
									"""simple docstring"""







									return self.head is None







			def 		snake_case__      (					self						:							Optional[Any] )    ->       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
			UpperCamelCase__			=    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())





