




import sys







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				List[Any]  =     len(_lowercase )
     UpperCAmelCase_     :				Tuple  =     [[0 for x in range(_lowercase )] for x in range(_lowercase )]
     UpperCAmelCase_     :				Union[str, Any]  =     [[0 for x in range(_lowercase )] for x in range(_lowercase )]

     for chain_length in range(2					,		_lowercase ):
          for a in range(1					,		n - chain_length + 1 ):
               UpperCAmelCase_     :				Union[str, Any]  =     a + chain_length - 1

               UpperCAmelCase_     :				Optional[Any]  =     sys.maxsize
               for c in range(_lowercase					,		_lowercase ):
                    UpperCAmelCase_     :				Tuple  =     (
                        matrix[a][c] + matrix[c + 1][b] + array[a - 1] * array[c] * array[b]
                    )
                    if cost < matrix[a][b]:
                         UpperCAmelCase_     :				Tuple  =     cost
                         UpperCAmelCase_     :				Union[str, Any]  =     c
     return matrix, sol







def lowerCamelCase__  (     _lowercase					,		_lowercase					,		_lowercase ):

     '''simple docstring'''


     if i == j:
          print('''A''' + str(_lowercase )					,		end=''' ''' )
     else:
          print('''('''					,		end=''' ''' )
          print_optiomal_solution(_lowercase					,		_lowercase					,		optimal_solution[i][j] )
          print_optiomal_solution(_lowercase					,		optimal_solution[i][j] + 1					,		_lowercase )
          print(''')'''					,		end=''' ''' )







def lowerCamelCase__  (     ):

     '''simple docstring'''


     UpperCAmelCase_     :				str  =     [30, 35, 15, 5, 10, 20, 25]
     UpperCAmelCase_     :				int  =     len(_lowercase )
     # Size of matrix created from above array will be
     # 30*35 35*15 15*5 5*10 10*20 20*25
     UpperCAmelCase_,       UpperCAmelCase_     :				int  =     matrix_chain_order(_lowercase )

     print('''No. of Operation required: ''' + str(matrix[1][n - 1] ) )
     print_optiomal_solution(_lowercase					,		1					,		n - 1 )


if __name__ == "__main__":
     main()



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__			:      str								={
    'configuration_clipseg': [
        'CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'CLIPSegConfig',
        'CLIPSegTextConfig',
        'CLIPSegVisionConfig',
    ],
    'processing_clipseg': ['CLIPSegProcessor'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__			:      Optional[Any]								=[
				    'CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'CLIPSegModel',
				    'CLIPSegPreTrainedModel',
				    'CLIPSegTextModel',
				    'CLIPSegVisionModel',
				    'CLIPSegForImageSegmentation',
				]

if TYPE_CHECKING:
				from .configuration_clipseg import (
				    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    CLIPSegConfig,
				    CLIPSegTextConfig,
				    CLIPSegVisionConfig,
				)
				from .processing_clipseg import CLIPSegProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_clipseg import (
								    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
								    CLIPSegForImageSegmentation,
								    CLIPSegModel,
								    CLIPSegPreTrainedModel,
								    CLIPSegTextModel,
								    CLIPSegVisionModel,
								)

else:
				import sys

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





