def canberra_distance_numpy(object1, object2):
with numpy.errstate(divide='<STR_LIT:ignore>', invalid='<STR_LIT:ignore>'):<EOL><INDENT>result = numpy.divide(numpy.abs(object1 - object2), numpy.abs(object1) + numpy.abs(object2))<EOL><DEDENT>if len(result.shape) > <NUM_LIT:1>:<EOL><INDENT>return numpy.sum(numpy.nan_to_num(result), axis=<NUM_LIT:1>).T<EOL><DEDENT>else:<EOL><INDENT>return numpy.sum(numpy.nan_to_num(result))<EOL><DEDENT>
!
    @brief Calculate Canberra distance between two objects using numpy.

    @param[in] object1 (array_like): The first vector.
    @param[in] object2 (array_like): The second vector.

    @return (float) Canberra distance between two objects.