
from __future__ import annotations

from collections.abc import Iterator


class     lowercase :



		def __init__(			self    ,				A_	)  -> None:
				"""simple docstring"""
				UpperCamelCase          =					value
				UpperCamelCase          =					None
				UpperCamelCase          =					None






class     lowercase :



		def __init__(			self    ,				A_	)  -> None:
				"""simple docstring"""
				UpperCamelCase          =					tree



		def __UpperCamelCase			(			self    ,				A_	)  -> int:
				"""simple docstring"""
				if node is None:
						return 0
				return node.value + (
				    self.depth_first_search(node.left	) + self.depth_first_search(node.right	)
				)



		def __iter__(			self	)  -> Iterator[int]:
				"""simple docstring"""
				yield self.depth_first_search(self.tree	)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available() and is_transformers_version(">=", "4.25.0")):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
					from .pipeline_unclip import UnCLIPPipeline
					from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
					from .text_proj import UnCLIPTextProjModel
