
class 				UpperCAmelCase :




	'''simple docstring'''





	def __init__(			self   :					Tuple				,A   :					Union[str, Any]					):
					__A       =					arr.split(","					)







	def 							UpperCamelCase_    (			self   :					Any					):
					__A       =					[int(self.array[0]					)] * len(self.array					)
					__A       =					[int(self.array[0]					)] * len(self.array					)
					for i in range(1				,len(self.array					)					):
									__A       =					max(
									    int(self.array[i]					) + sum_value[i - 1]				,int(self.array[i]					)					)
									__A       =					max(sum_value[i]				,rear[i - 1]					)
					return rear[len(self.array					) - 1]


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE				:Dict									=							input('please input some numbers:')
					SCREAMING_SNAKE_CASE				:List[Any]									=							SubArray(whole_array)
					SCREAMING_SNAKE_CASE				:List[Any]									=							array.solve_sub_array()
					print(('the results is:', re))



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_      =     {
    'configuration_instructblip': [
        'INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'InstructBlipConfig',
        'InstructBlipQFormerConfig',
        'InstructBlipVisionConfig',
    ],
    'processing_instructblip': ['InstructBlipProcessor'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a_      =     [
			    'INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'InstructBlipQFormerModel',
			    'InstructBlipPreTrainedModel',
			    'InstructBlipForConditionalGeneration',
			    'InstructBlipVisionModel',
			]

if TYPE_CHECKING:
			from .configuration_instructblip import (
			    INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    InstructBlipConfig,
			    InstructBlipQFormerConfig,
			    InstructBlipVisionConfig,
			)
			from .processing_instructblip import InstructBlipProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_instructblip import (
						    INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
						    InstructBlipForConditionalGeneration,
						    InstructBlipPreTrainedModel,
						    InstructBlipQFormerModel,
						    InstructBlipVisionModel,
						)

else:
			import sys

			a_      =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)