


"""simple docstring"""




from __future__ import annotations





def       a_ (	lowercase__ :list[int]     ):  # This function is recursive
			__lowerCamelCase          =      len(lowercase__     )
			# If the array contains only one element, we return it (it's the stop condition of
			# recursion)
			if array_length <= 1:
						return array
						# Else
			__lowerCamelCase          =      array[0]
			__lowerCamelCase          =      False
			__lowerCamelCase          =      1
			__lowerCamelCase          =      []
			while not is_found and i < array_length:
						if array[i] < pivot:
									__lowerCamelCase          =      True
									__lowerCamelCase          =      [element for element in array[i:] if element >= array[i]]
									__lowerCamelCase          =      longest_subsequence(lowercase__     )
									if len(lowercase__     ) > len(lowercase__     ):
												__lowerCamelCase          =      temp_array
						else:
									i += 1

			__lowerCamelCase          =      [element for element in array[1:] if element >= pivot]
			__lowerCamelCase          =      [pivot, *longest_subsequence(lowercase__     )]
			if len(lowercase__     ) > len(lowercase__     ):
						return temp_array
			else:
						return longest_subseq


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


__magic_name__						: Any    =				{'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__magic_name__						: Dict    =				['GLPNFeatureExtractor']
					__magic_name__						: Union[str, Any]    =				['GLPNImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__magic_name__						: int    =				[
					    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GLPNForDepthEstimation',
					    'GLPNLayer',
					    'GLPNModel',
					    'GLPNPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_glpn import GLPNFeatureExtractor
										from .image_processing_glpn import GLPNImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_glpn import (
										    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GLPNForDepthEstimation,
										    GLPNLayer,
										    GLPNModel,
										    GLPNPreTrainedModel,
										)


else:
					import sys

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




