
"""simple docstring"""


from __future__ import annotations

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

A_						       =				TypeVar("""T""", bound=bool)




class    __lowerCamelCase     (   Generic[T]):




				def __init__(							self       ,	UpperCAmelCase      ):
							lowerCamelCase_ 		=     value
							lowerCamelCase_ 		=     None
							lowerCamelCase_ 		=     None




				@property
				def 					UpperCAmelCase__	(							self      ):
							return self._value





				@staticmethod
				def 					UpperCAmelCase__	(							UpperCAmelCase       ,	UpperCAmelCase      ):
							if not roota:
										return roota

							if not roota:
										return roota

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

							lowerCamelCase_ 		=     roota
							lowerCamelCase_ 		=     roota.right
							lowerCamelCase_ 		=     roota.left
							lowerCamelCase_ 		=     SkewNode.merge(__UpperCamelCase       ,	__UpperCamelCase      )

							return result




class    __lowerCamelCase     (   Generic[T]):




				def __init__(							self       ,	UpperCAmelCase = ()      ):
							lowerCamelCase_ 		=     None
							if data:
										for item in data:
													self.insert(__UpperCamelCase      )




				def __bool__(							self      ):
							return self._root is not None




				def __iter__(							self      ):
							lowerCamelCase_ 		=     []
							while self:
										result.append(self.pop()      )

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

							return iter(__UpperCamelCase      )




				def 					UpperCAmelCase__	(							self       ,	UpperCAmelCase      ):
							lowerCamelCase_ 		=     SkewNode.merge(self._root       ,	SkewNode(__UpperCamelCase      )      )




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

							return result




				def 					UpperCAmelCase__	(							self      ):
							if not self._root:
										raise IndexError('''Can\'t get top element for the empty heap.'''      )
							return self._root.value





				def 					UpperCAmelCase__	(							self      ):
							lowerCamelCase_ 		=     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


A_						       =				{
    """configuration_flava""": [
        """FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """FlavaConfig""",
        """FlavaImageCodebookConfig""",
        """FlavaImageConfig""",
        """FlavaMultimodalConfig""",
        """FlavaTextConfig""",
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_						       =				["""FlavaFeatureExtractor"""]
						A_						       =				["""FlavaImageProcessor"""]
						A_						       =				["""FlavaProcessor"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A_						       =				[
						    """FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """FlavaForPreTraining""",
						    """FlavaImageCodebook""",
						    """FlavaImageModel""",
						    """FlavaModel""",
						    """FlavaMultimodalModel""",
						    """FlavaPreTrainedModel""",
						    """FlavaTextModel""",
						]

if TYPE_CHECKING:
						from .configuration_flava import (
						    FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    FlavaConfig,
						    FlavaImageCodebookConfig,
						    FlavaImageConfig,
						    FlavaMultimodalConfig,
						    FlavaTextConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_flava import FlavaFeatureExtractor
												from .image_processing_flava import FlavaImageProcessor
												from .processing_flava import FlavaProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flava import (
												    FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    FlavaForPreTraining,
												    FlavaImageCodebook,
												    FlavaImageModel,
												    FlavaModel,
												    FlavaMultimodalModel,
												    FlavaPreTrainedModel,
												    FlavaTextModel,
												)

else:
						import sys

						A_						       =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



