21971e673fabe25d3e7da6712f80222760516113,server/website/website/tasks/async_tasks.py,,clean_metric_data,#Any#Any#Any#,149

Before Change

            metric_labels.append(metric)
    LOG.debug(matrix.shape)
    // If they are useless columns in the matrix
    if unused_columns:
        indexes = [i for i, n in enumerate(metric_labels) if n in unused_columns]
        // Delete unused columns
        matrix = np.delete(matrix, indexes, 1)
        for i in sorted(indexes, reverse=True):
            del metric_labels[i]
    return matrix, metric_labels


def save_execution_time(start_ts, fn, result):

After Change

    default_val = 0
    metric_cat_size = len(metric_cat)
    matrix = np.ones((len(metric_matrix), metric_cat_size)) * default_val
    metric_labels_dict = {n: i for i, n in enumerate(metric_labels)}
    // column labels in matrix has the same order as ones in metric catalog
    // missing values are filled with default_val
    for i, metric_name in enumerate(metric_cat):

Instances