





'''simple docstring'''


from __future__ import annotations

from collections.abc import Iterable, Iterator
from typing import Any, Generic, TypeVar

_lowerCamelCase					:						str					     =							TypeVar('T', bound=bool)



class 				__UpperCAmelCase	(							Generic[T]    ):







		'''simple docstring'''







		def __init__(self    :   List[Any]   ,   _lowerCAmelCase    :   T   ):
			A					=   value
			A					=   None
			A					=   None







		@property
		def 							A  (self    :   List[str]   ):
			return self._value







		@staticmethod
		def 							A  (_lowerCAmelCase    :   SkewNode[T] | None   ,   _lowerCAmelCase    :   SkewNode[T] | None   ):
			if not roota:
				return roota

			if not roota:
				return roota

			if roota.value > roota.value:
				A	,     A					=   roota, roota

			A					=   roota
			A					=   roota.right
			A					=   roota.left
			A					=   SkewNode.merge(_lowerCAmelCase   ,   _lowerCAmelCase   )

			return result






class 				__UpperCAmelCase	(							Generic[T]    ):







		'''simple docstring'''







		def __init__(self    :   Dict   ,   _lowerCAmelCase    :   Iterable[T] | None = ()   ):
			A					=   None
			if data:
				for item in data:
					self.insert(_lowerCAmelCase   )







		def __bool__(self    :   List[Any]   ):
			return self._root is not None







		def __iter__(self    :   Union[str, Any]   ):
			A					=   []
			while self:
				result.append(self.pop()   )

			# Pushing items back to the heap not to clear it.
			for item in result:
				self.insert(_lowerCAmelCase   )

			return iter(_lowerCAmelCase   )







		def 							A  (self    :   Dict   ,   _lowerCAmelCase    :   T   ):
			A					=   SkewNode.merge(self._root   ,   SkewNode(_lowerCAmelCase   )   )







		def 							A  (self    :   str   ):
			A					=   self.top()
			A					=   (
			    SkewNode.merge(self._root.left   ,   self._root.right   ) if self._root else None
			)

			return result







		def 							A  (self    :   List[Any]   ):
			if not self._root:
				raise IndexError("""Can't get top element for the empty heap."""   )
			return self._root.value







		def 							A  (self    :   List[str]   ):
			A					=   None


if __name__ == "__main__":
				import doctest

				doctest.testmod()








'''simple docstring'''


from typing import TYPE_CHECKING

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


_lowerCamelCase					:						Dict					     =							{
    'configuration_donut_swin': ['DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DonutSwinConfig'],
    'processing_donut': ['DonutProcessor'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCamelCase					:						List[str]					     =							[
				    'DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'DonutSwinModel',
				    'DonutSwinPreTrainedModel',
				]

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCamelCase					:						Any					     =							['DonutFeatureExtractor']
				_lowerCamelCase					:						Union[str, Any]					     =							['DonutImageProcessor']


if TYPE_CHECKING:
				from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
				from .processing_donut import DonutProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_donut_swin import (
								    DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    DonutSwinModel,
								    DonutSwinPreTrainedModel,
								)

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_donut import DonutFeatureExtractor
								from .image_processing_donut import DonutImageProcessor

else:
				import sys

				_lowerCamelCase					:						Optional[int]					     =							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

