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

Before Change

            // append a missing column after the last column
            index = matrix.shape[1]  // pylint: disable=unsubscriptable-object
            default_val = 0
            matrix = np.insert(matrix, index, default_val, axis=1)
            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

              len(unused_columns))
    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):
        if metric_name in metric_labels_dict:
            index = metric_labels_dict[metric_name]
            matrix[:, i] = metric_matrix[:, index]
    LOG.debug(matrix.shape)
    return matrix, metric_cat

Instances