




import sys



def       UpperCAmelCase__  (     lowerCamelCase   ):
		lowercase    :str      	=						len(lowerCamelCase   )
		lowercase    :List[Any]      	=						[[0 for x in range(lowerCamelCase   )] for x in range(lowerCamelCase   )]
		lowercase    :Tuple      	=						[[0 for x in range(lowerCamelCase   )] for x in range(lowerCamelCase   )]

		for chain_length in range(2,			lowerCamelCase   ):
				for a in range(1,			n - chain_length + 1   ):
						lowercase    :List[str]      	=						a + chain_length - 1

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



def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase,			lowerCamelCase   ):
		if i == j:
				print("A" + str(lowerCamelCase   ),			end=" "   )
		else:
				print("(",			end=" "   )
				print_optiomal_solution(lowerCamelCase,			lowerCamelCase,			optimal_solution[i][j]   )
				print_optiomal_solution(lowerCamelCase,			optimal_solution[i][j] + 1,			lowerCamelCase   )
				print(")",			end=" "   )



def       UpperCAmelCase__  (     ):
		lowercase    :Any      	=						[30, 35, 15, 5, 10, 20, 25]
		lowercase    :Optional[Any]      	=						len(lowerCamelCase   )
		# Size of matrix created from above array will be
		# 30*35 35*15 15*5 5*10 10*20 20*25
		lowercase    :Optional[int]      	=						matrix_chain_order(lowerCamelCase   )

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


if __name__ == "__main__":
					main()









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase	:						List[Any]			=     {
    "configuration_swinv2": ["SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Swinv2Config"],
}


try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase	:						Union[str, Any]			=     [
         "SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST",
         "Swinv2ForImageClassification",
         "Swinv2ForMaskedImageModeling",
         "Swinv2Model",
         "Swinv2PreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_swinva import (
              SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
              SwinvaForImageClassification,
              SwinvaForMaskedImageModeling,
              SwinvaModel,
              SwinvaPreTrainedModel,
          )


else:
     import sys

     _UpperCAmelCase	:						Tuple			=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



