b39db6e2bf0c806554578b5c9895d9b7ef6bd48c,Orange/statistics/util.py,,countnans,#Any#Any#Any#Any#Any#,57

Before Change

        if weights is not None and weights.shape != X.shape:
            counts = counts * weights
    else:
        if any(attr is not None for attr in [axis, dtype]) or \
                        keepdims is not False:
            raise ValueError("Arguments axis, dtype and keepdims"
                             "are not yet supported on sparse data!")

        counts = _count_nans_per_row_sparse(X, weights)
    return counts

After Change

        // actually a vector (e.g. [[1 2 3]]), but has `ndim=2` due to scipy
        // implementation
        if axis is None or X.shape[0] == 1:
            counts = counts.sum()

    return counts

Instances