def       A	(    _lowercase						):
						stooge(_lowercase		,  0		,  len(_lowercase						) - 1						)
						return arr
def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						if i >= h:
												return

						# If first element is smaller than the last then swap them
						if arr[i] > arr[h]:
												SCREAMING_SNAKE_CASE				,  SCREAMING_SNAKE_CASE							:    Optional[Any]							=							arr[h], arr[i]

						# If there are more than 2 elements in the array
						if h - i + 1 > 2:
												SCREAMING_SNAKE_CASE							:    Optional[Any]							=							(int)((h - i + 1) / 3						)

												# Recursively sort first 2/3 elements
												stooge(_lowercase		,  _lowercase		,  (h - t)						)

												# Recursively sort last 2/3 elements
												stooge(_lowercase		,  i + t		,  (_lowercase)						)

												# Recursively sort first 2/3 elements
												stooge(_lowercase		,  _lowercase		,  (h - t)						)


if __name__ == "__main__":
					__UpperCamelCase		:       Any									=     input('Enter numbers separated by a comma:\n').strip()
					__UpperCamelCase		:       List[str]									=     [int(item) for item in user_input.split(',')]
					print(stooge_sort(unsorted))






from typing import TYPE_CHECKING

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


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

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       Optional[Any]									=     ['GLPNFeatureExtractor']
					__UpperCamelCase		:       List[str]									=     ['GLPNImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    '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

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





