def grid_search_generator(grid_basis=[], *args, **kwargs):
    r"""
    Iteratively yeilds individual configuration points
    inside a defined basis.

    Args:
        grid_basis (list): a list of 2-component tuple. The named tuple looks
            like this:

    CommandLine:
        python -m utool.util_gridsearch --test-grid_search_generator

    Example:
        >>> # ENABLE_DOCTEST
        >>> from utool.util_gridsearch import *  # NOQA
        >>> import utool as ut
        >>> # build test data
        >>> grid_basis = [
        ...     DimensionBasis('dim1', [.1, .2, .3]),
        ...     DimensionBasis('dim2', [.1, .4, .5]),
        ... ]
        >>> args = tuple()
        >>> kwargs = {}
        >>> # execute function
        >>> point_list = list(grid_search_generator(grid_basis))
        >>> # verify results
        >>> column_lbls = ut.get_list_column(grid_basis, 0)
        >>> column_list  = ut.get_list_column(grid_basis, 1)
        >>> first_vals = ut.get_list_column(ut.get_list_column(grid_basis, 1), 0)
        >>> column_types = list(map(type, first_vals))
        >>> header = 'grid search'
        >>> result = ut.make_csv_table(column_list, column_lbls, header, column_types)
        >>> print(result)
        grid search
        # num_rows=3
        #   dim1,  dim2
            0.10,  0.10
            0.20,  0.40
            0.30,  0.50

    """
    grid_basis_ = grid_basis + list(args) + list(kwargs.items())
    grid_basis_dict = OrderedDict(grid_basis_)
    grid_point_iter = util_dict.iter_all_dict_combinations_ordered(grid_basis_dict)
    for grid_point in grid_point_iter:
        yield grid_point