


"""simple docstring"""







class 				UpperCamelCase_			:

	"""simple docstring"""





	def __init__(				self    :       int    ,    UpperCAmelCase__    :       Dict     ) ->			Tuple:
						__SCREAMING_SNAKE_CASE		     =       arr.split(","     )




	def 						UpperCAmelCase_   (				self    :       Tuple     ) ->			Optional[Any]:
						__SCREAMING_SNAKE_CASE		     =       [int(self.array[0]     )] * len(self.array     )
						__SCREAMING_SNAKE_CASE		     =       [int(self.array[0]     )] * len(self.array     )
						for i in range(1    ,    len(self.array     )     ):
											__SCREAMING_SNAKE_CASE		     =       max(
											    int(self.array[i]     ) + sum_value[i - 1]    ,    int(self.array[i]     )     )
											__SCREAMING_SNAKE_CASE		     =       max(sum_value[i]    ,    rear[i - 1]     )
						return rear[len(self.array     ) - 1]


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










"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__       :							Optional[Any]        =  {
    '''configuration_jukebox''': [
        '''JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''JukeboxConfig''',
        '''JukeboxPriorConfig''',
        '''JukeboxVQVAEConfig''',
    ],
    '''tokenization_jukebox''': ['''JukeboxTokenizer'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a__       :							int        =  [
		    '''JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''JukeboxModel''',
		    '''JukeboxPreTrainedModel''',
		    '''JukeboxVQVAE''',
		    '''JukeboxPrior''',
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

		a__       :							Union[str, Any]        =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
