
from __future__ import annotations




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    list[int])      ->					list[int]:  # This function is recursive






							'''simple docstring'''





							__UpperCamelCase			:     Any         =      len(_lowerCamelCase)
							# If the array contains only one element, we return it (it's the stop condition of
							# recursion)
							if array_length <= 1:
														return array
														# Else
							__UpperCamelCase			:     str         =      array[0]
							__UpperCamelCase			:     int         =      False
							__UpperCamelCase			:     int         =      1
							__UpperCamelCase			:     list[int]         =      []
							while not is_found and i < array_length:
														if array[i] < pivot:
																					__UpperCamelCase			:     Optional[Any]         =      True
																					__UpperCamelCase			:     Tuple         =      [element for element in array[i:] if element >= array[i]]
																					__UpperCamelCase			:     List[str]         =      longest_subsequence(_lowerCamelCase)
																					if len(_lowerCamelCase) > len(_lowerCamelCase):
																												__UpperCamelCase			:     Optional[Any]         =      temp_array
														else:
																					i += 1

							__UpperCamelCase			:     Any         =      [element for element in array[1:] if element >= pivot]
							__UpperCamelCase			:     str         =      [pivot, *longest_subsequence(_lowerCamelCase)]
							if len(_lowerCamelCase) > len(_lowerCamelCase):
														return temp_array
							else:
														return longest_subseq


if __name__ == "__main__":
		import doctest

		doctest.testmod()

from typing import TYPE_CHECKING

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


lowercase						:      List[Any]									= {'configuration_swin': ['SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SwinConfig', 'SwinOnnxConfig']}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      Dict									= [
		    'SWIN_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'SwinForImageClassification',
		    'SwinForMaskedImageModeling',
		    'SwinModel',
		    'SwinPreTrainedModel',
		    'SwinBackbone',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      Optional[int]									= [
		    'TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TFSwinForImageClassification',
		    'TFSwinForMaskedImageModeling',
		    'TFSwinModel',
		    'TFSwinPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_swin import (
				    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SwinBackbone,
				    SwinForImageClassification,
				    SwinForMaskedImageModeling,
				    SwinModel,
				    SwinPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_swin import (
				    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFSwinForImageClassification,
				    TFSwinForMaskedImageModeling,
				    TFSwinModel,
				    TFSwinPreTrainedModel,
				)

else:
		import sys

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