




'''simple docstring'''





from __future__ import annotations

from typing import Generic, TypeVar

_SCREAMING_SNAKE_CASE							:     List[Any]   	=				TypeVar("T")




class 				_snake_case	(			Generic[T]							):




			def __init__(      self       ,							a__							)       ->       Dict:

										'''simple docstring'''




										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:

										'''simple docstring'''




										snake_case_			      =   None




			def      lowerCAmelCase__       (      self       ,							a__							)       ->       None:

										'''simple docstring'''




										if self.head is None:
																	snake_case_			      =   Node(a__							)
										else:
																	snake_case_			      =   Node(a__							)
																	snake_case_			      =   new_node
																	snake_case_			      =   self.head
																	snake_case_			      =   None
																	snake_case_			      =   new_node




			def      lowerCAmelCase__       (      self							)       ->       T | None:

										'''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      lowerCAmelCase__       (      self							)       ->       T | None:

										'''simple docstring'''




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




			def __len__(      self							)       ->       int:

										'''simple docstring'''




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




			def      lowerCAmelCase__       (      self							)       ->       bool:

										'''simple docstring'''




										return self.head is None




			def      lowerCAmelCase__       (      self							)       ->       None:

										'''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
		_SCREAMING_SNAKE_CASE							:     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 typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


_SCREAMING_SNAKE_CASE							:     Dict   	=				{
    "configuration_mobilevitv2": [
        "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "MobileViTV2Config",
        "MobileViTV2OnnxConfig",
    ],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_SCREAMING_SNAKE_CASE							:     Optional[Any]   	=				[
		    "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "MobileViTV2ForImageClassification",
		    "MobileViTV2ForSemanticSegmentation",
		    "MobileViTV2Model",
		    "MobileViTV2PreTrainedModel",
		]

if TYPE_CHECKING:
		from .configuration_mobilevitva import (
		    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    MobileViTVaConfig,
		    MobileViTVaOnnxConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mobilevitva import (
				    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MobileViTVaForImageClassification,
				    MobileViTVaForSemanticSegmentation,
				    MobileViTVaModel,
				    MobileViTVaPreTrainedModel,
				)

else:
		import sys

		_SCREAMING_SNAKE_CASE							:     Any   	=				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




