





from typing import TYPE_CHECKING

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


__lowerCAmelCase			:Any	 =     {
    'configuration_segformer': ['SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SegformerConfig', 'SegformerOnnxConfig']
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase			:Optional[int]	 =     ['SegformerFeatureExtractor']
							__lowerCAmelCase			:Tuple	 =     ['SegformerImageProcessor']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase			:Any	 =     [
							    'SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'SegformerDecodeHead',
							    'SegformerForImageClassification',
							    'SegformerForSemanticSegmentation',
							    'SegformerLayer',
							    'SegformerModel',
							    'SegformerPreTrainedModel',
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase			:Tuple	 =     [
							    'TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'TFSegformerDecodeHead',
							    'TFSegformerForImageClassification',
							    'TFSegformerForSemanticSegmentation',
							    'TFSegformerModel',
							    'TFSegformerPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_segformer import SEGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, SegformerConfig, SegformerOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_segformer import SegformerFeatureExtractor
														from .image_processing_segformer import SegformerImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_segformer import (
														    SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    SegformerDecodeHead,
														    SegformerForImageClassification,
														    SegformerForSemanticSegmentation,
														    SegformerLayer,
														    SegformerModel,
														    SegformerPreTrainedModel,
														)
							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_segformer import (
														    TF_SEGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFSegformerDecodeHead,
														    TFSegformerForImageClassification,
														    TFSegformerForSemanticSegmentation,
														    TFSegformerModel,
														    TFSegformerPreTrainedModel,
														)

else:
							import sys

							__lowerCAmelCase			:Union[str, Any]	 =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




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())





