pypet/utils/helpful_functions.py
def result_sort(result_list, start_index=0):
    """Sorts a list of results in O(n) in place (since every run is unique)

    :param result_list: List of tuples [(run_idx, res), ...]
    :param start_index: Index with which to start, every entry before `start_index` is ignored

    """
    if len(result_list) < 2:
        return result_list
    to_sort = result_list[start_index:]
    minmax = [x[0] for x in to_sort]
    minimum = min(minmax)
    maximum = max(minmax)
    #print minimum, maximum
    sorted_list = [None for _ in range(minimum, maximum + 1)]
    for elem in to_sort:
        key = elem[0] - minimum
        sorted_list[key] = elem
    idx_count = start_index
    for elem in sorted_list:
        if elem is not None:
            result_list[idx_count] = elem
            idx_count += 1
    return result_list
def result_sort(result_list, start_index=0):
    """Sorts a list of results in O(n) in place (since every run is unique)

    :param result_list: List of tuples [(run_idx, res), ...]
    :param start_index: Index with which to start, every entry before `start_index` is ignored

    """
    if len(result_list) < 2:
        return result_list
    to_sort = result_list[start_index:]
    minmax = [x[0] for x in to_sort]
    minimum = min(minmax)
    maximum = max(minmax)
    #print minimum, maximum
    sorted_list = [None for _ in range(minimum, maximum + 1)]
    for elem in to_sort:
        key = elem[0] - minimum
        sorted_list[key] = elem
    idx_count = start_index
    for elem in sorted_list:
        if elem is not None:
            result_list[idx_count] = elem
            idx_count += 1
    return result_list
Sorts a list of results in O(n) in place (since every run is unique)

    :param result_list: List of tuples [(run_idx, res), ...]
    :param start_index: Index with which to start, every entry before `start_index` is ignored