import sys






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       lowerCAmelCase__					     = len(lowerCAmelCase__     )
       lowerCAmelCase__					     = [[0 for x in range(lowerCAmelCase__     )] for x in range(lowerCAmelCase__     )]
       lowerCAmelCase__					     = [[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     ):
                     lowerCAmelCase__					     = a + chain_length - 1

                     lowerCAmelCase__					     = sys.maxsize
                     for c in range(lowerCAmelCase__     ,  lowerCAmelCase__     ):
                            lowerCAmelCase__					     = (
                                matrix[a][c] + matrix[c + 1][b] + array[a - 1] * array[c] * array[b]
                            )
                            if cost < matrix[a][b]:
                                   lowerCAmelCase__					     = cost
                                   lowerCAmelCase__					     = c
       return matrix, sol






def 				__lowerCamelCase		(						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 				__lowerCamelCase		(						):
       lowerCAmelCase__					     = [3_0, 3_5, 1_5, 5, 1_0, 2_0, 2_5]
       lowerCAmelCase__					     = len(lowerCAmelCase__     )
       # Size of matrix created from above array will be
       # 30*35 35*15 15*5 5*10 10*20 20*25
       lowerCAmelCase__     , lowerCAmelCase__					     = 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


lowerCAmelCase__     						=			{
    'configuration_x_clip': [
        'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XCLIPConfig',
        'XCLIPTextConfig',
        'XCLIPVisionConfig',
    ],
    'processing_x_clip': ['XCLIPProcessor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
        'XCLIPModel',
        'XCLIPPreTrainedModel',
        'XCLIPTextModel',
        'XCLIPVisionModel',
    ]

if TYPE_CHECKING:
    from .configuration_x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
    from .processing_x_clip import XCLIPProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )

else:
    import sys

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