
class  lowercase__:



	"""simple docstring"""




	def __init__(       self  :			Union[str, Any]       ,							SCREAMING_SNAKE_CASE_  :			int       )       ->     None:
					lowercase_       =					size
					lowercase_       =					[0] * size
					lowercase_       =					[0] * size
	@staticmethod
	def 						_lowercase  (       SCREAMING_SNAKE_CASE_  :			int       )       ->     int:
					return index | (index + 1)
	@staticmethod
	def 						_lowercase  (       SCREAMING_SNAKE_CASE_  :			int       )       ->     int:
					return (index & (index + 1)) - 1
	def 						_lowercase  (       self  :			Dict       ,							SCREAMING_SNAKE_CASE_  :			int       ,							SCREAMING_SNAKE_CASE_  :			int       )       ->     None:
					lowercase_       =					value
					while index < self.size:
									lowercase_       =					self.get_prev(SCREAMING_SNAKE_CASE_       ) + 1
									if current_left_border == index:
													lowercase_       =					value
									else:
													lowercase_       =					max(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       )
									lowercase_       =					self.get_next(SCREAMING_SNAKE_CASE_       )




	def 						_lowercase  (       self  :			Any       ,							SCREAMING_SNAKE_CASE_  :			int       ,							SCREAMING_SNAKE_CASE_  :			int       )       ->     int:
					right -= 1  # Because of right is exclusive
					lowercase_       =					0
					while left <= right:
									lowercase_       =					self.get_prev(SCREAMING_SNAKE_CASE_       )
									if left <= current_left:
													lowercase_       =					max(SCREAMING_SNAKE_CASE_       ,							self.tree[right]       )
													lowercase_       =					current_left
									else:
													lowercase_       =					max(SCREAMING_SNAKE_CASE_       ,							self.arr[right]       )
													right -= 1
					return result


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




