





'''simple docstring'''






from __future__ import annotations

from typing import Any







class 			lowerCamelCase					:


					def __init__(					self	:  List[Any]       ,     __snake_case	:  Any = 6       ):





											'''simple docstring'''





											_snake_case:   Node | None  					=		None
											_snake_case:   Node | None  					=		None
											self.create_linked_list(_lowercase       )


					def    SCREAMING_SNAKE_CASE_		(					self	:  Union[str, Any]       ,     __snake_case	:  Tuple       ):





											'''simple docstring'''





											_snake_case:   Optional[int]  					=		Node()
											_snake_case:   int  					=		current_node
											_snake_case:   List[str]  					=		current_node
											_snake_case:   Union[str, Any]  					=		current_node
											for _ in range(1       ,     _lowercase       ):
																	_snake_case:   List[str]  					=		Node()
																	_snake_case:   Any  					=		current_node
																	_snake_case:   List[Any]  					=		previous_node
																	_snake_case:   Union[str, Any]  					=		current_node
											_snake_case:   Optional[int]  					=		self.front
											_snake_case:   List[str]  					=		previous_node


					def    SCREAMING_SNAKE_CASE_		(					self	:  str       ):





											'''simple docstring'''





											return (
											    self.front == self.rear
											    and self.front is not None
											    and self.front.data is None
											)


					def    SCREAMING_SNAKE_CASE_		(					self	:  List[Any]       ):





											'''simple docstring'''





											self.check_can_perform_operation()
											return self.front.data if self.front else None


					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ,     __snake_case	:  Optional[Any]       ):





											'''simple docstring'''





											if self.rear is None:
																	return

											self.check_is_full()
											if not self.is_empty():
																	_snake_case:   Any  					=		self.rear.next
											if self.rear:
																	_snake_case:   Tuple  					=		data


					def    SCREAMING_SNAKE_CASE_		(					self	:  List[str]       ):





											'''simple docstring'''





											self.check_can_perform_operation()
											if self.rear is None or self.front is None:
																	return None
											if self.front == self.rear:
																	_snake_case:   Dict  					=		self.front.data
																	_snake_case:   Union[str, Any]  					=		None
																	return data

											_snake_case:   Optional[int]  					=		self.front
											_snake_case:   Any  					=		old_front.next
											_snake_case:   Any  					=		old_front.data
											_snake_case:   List[str]  					=		None
											return data


					def    SCREAMING_SNAKE_CASE_		(					self	:  Optional[int]       ):





											'''simple docstring'''





											if self.is_empty():
																	raise Exception('Empty Queue'       )




					def    SCREAMING_SNAKE_CASE_		(					self	:  List[Any]       ):





											'''simple docstring'''





											if self.rear and self.rear.next == self.front:
																	raise Exception('Full Queue'       )







class 			lowerCamelCase					:


					def __init__(					self	:  str       ):





											'''simple docstring'''





											_snake_case:   Any | None  					=		None
											_snake_case:   Node | None  					=		None
											_snake_case:   Node | None  					=		None


if __name__ == "__main__":
	import doctest

	doctest.testmod()












'''simple docstring'''






from typing import TYPE_CHECKING

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


A   : Optional[Any]             =			{'configuration_deit': ['DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DeiTConfig', 'DeiTOnnxConfig']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A   : str             =			['DeiTFeatureExtractor']
		A   : Optional[int]             =			['DeiTImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A   : Optional[Any]             =			[
		    'DEIT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'DeiTForImageClassification',
		    'DeiTForImageClassificationWithTeacher',
		    'DeiTForMaskedImageModeling',
		    'DeiTModel',
		    'DeiTPreTrainedModel',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A   : int             =			[
		    'TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TFDeiTForImageClassification',
		    'TFDeiTForImageClassificationWithTeacher',
		    'TFDeiTForMaskedImageModeling',
		    'TFDeiTModel',
		    'TFDeiTPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_deit import DeiTFeatureExtractor
				from .image_processing_deit import DeiTImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_deit import (
				    DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    DeiTForImageClassification,
				    DeiTForImageClassificationWithTeacher,
				    DeiTForMaskedImageModeling,
				    DeiTModel,
				    DeiTPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_deit import (
				    TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFDeiTForImageClassification,
				    TFDeiTForImageClassificationWithTeacher,
				    TFDeiTForMaskedImageModeling,
				    TFDeiTModel,
				    TFDeiTPreTrainedModel,
				)


else:
		import sys

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





