





'''simple docstring'''




from __future__ import annotations

from typing import Generic, TypeVar

a__				: Optional[Any]									=    TypeVar('''T''')






class 							__snake_case    (				Generic[T]       ):





	def __init__(		self			,					UpperCamelCase_		)			->		str:
		snake_case__  					=      data  # Assign data
		snake_case__  					=      None  # Initialize next as null
		snake_case__  					=      None  # Initialize prev as null






class 							__snake_case    (				Generic[T]       ):





	def __init__(		self		)			->		None:
		snake_case__  					=      None





	def      _snake_case      (		self			,					UpperCamelCase_		)			->		None:
		if self.head is None:
			snake_case__  					=      Node(UpperCamelCase_		)
		else:
			snake_case__  					=      Node(UpperCamelCase_		)
			snake_case__  					=      new_node
			snake_case__  					=      self.head
			snake_case__  					=      None
			snake_case__  					=      new_node





	def      _snake_case      (		self		)			->		T | None:
		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      _snake_case      (		self		)			->		T | None:
		return self.head.data if self.head is not None else None





	def __len__(		self		)			->		int:
		snake_case__  					=      self.head
		snake_case__  					=      0
		while temp is not None:
			count += 1
			snake_case__  					=      temp.next
		return count





	def      _snake_case      (		self		)			->		bool:
		return self.head is None





	def      _snake_case      (		self		)			->		None:
		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'''




import sys

from transformers import AutoTokenizer


a__				: Optional[int]									=    sys.argv[1]
a__				: Any									=    sys.argv[2]
a__				: str									=    int(sys.argv[3])

a__				: str									=    0

a__				: int									=    AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, '''rt''') as f_p:
			for line in f_p:
						a__				: Tuple									=    line.rstrip()

						if not line:
									print(line)
									a__				: List[str]									=    0
									continue

						a__				: Optional[int]									=    line.split()[0]

						a__				: Tuple									=    len(tokenizer.tokenize(token))

						# Token contains strange control characters like \x96 or \x95
						# Just filter out the complete line
						if current_subwords_len == 0:
									continue

						if (subword_len_counter + current_subwords_len) > max_len:
									print('''''')
									print(line)
									a__				: List[str]									=    current_subwords_len
									continue

						subword_len_counter += current_subwords_len

						print(line)



