alibaba / clusterdata - Conditional Complexity

Intro

Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
Conditional complexity is measured at the unit level (methods, functions...).
Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).

Learn more...

Conditional Complexity Overall

There are 107 units with 1,284 lines of code in units (77.4% of code).

0 very complex units (0 lines of code)
1 complex units (63 lines of code)
6 medium complex units (188 lines of code)
15 simple units (327 lines of code)
85 very simple units (706 lines of code)

Legend:

51+

26-50

11-25

6-10

1-5

Alternative Visuals

3D view of all units

Conditional Complexity per Extension

51+

26-50

11-25

6-10

1-5

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 50 most complex units

Unit	# lines	McCabe index	# params
def try_allocate_job_to_cluster() in cluster-trace-gpu-v2020/simulator/scheduler.py	63	27	3
def output_pod() in cluster-trace-gpu-v2023/pod_csv_to_yaml.py	46	23	3
def _add_job() in cluster-trace-gpu-v2020/simulator/utils.py	43	18	3
def plot_data_cdfs() in cluster-trace-gpu-v2020/analysis/utils.py	26	16	10
def alloc_job() in cluster-trace-gpu-v2020/simulator/scheduler.py	32	16	2
def preempt_job() in cluster-trace-gpu-v2020/simulator/scheduler.py	21	14	2
def plot_data_cdf() in cluster-trace-gpu-v2020/analysis/utils.py	20	12	11
def generate_pod_yaml() in cluster-trace-gpu-v2023/pod_csv_to_yaml.py	32	9	9
def __init__() in cluster-trace-gpu-v2020/simulator/cluster.py	45	8	11
def get_hourly_task_resource_request() in cluster-trace-gpu-v2020/analysis/utils.py	18	7	2
def get_capacity() in cluster-trace-gpu-v2020/simulator/cluster.py	20	7	3
def get_cap_ratio() in cluster-trace-gpu-v2020/simulator/cluster.py	22	7	4
def alloc_job_sort() in cluster-trace-gpu-v2020/simulator/scheduler.py	15	7	3
def preempt_job_node() in cluster-trace-gpu-v2020/simulator/scheduler.py	19	7	3
def alloc_res() in cluster-trace-gpu-v2020/simulator/node.py	12	7	3
def init_go() in cluster-trace-gpu-v2020/simulator/simulator.py	25	7	2
def _add_describe() in cluster-trace-gpu-v2020/simulator/utils.py	16	7	1
def large_job_pruning() in cluster-trace-gpu-v2020/simulator/utils.py	13	7	3
def add_hour_date() in cluster-trace-gpu-v2020/analysis/utils.py	15	6	1
def tic_svc() in cluster-trace-gpu-v2020/simulator/cluster.py	12	6	2
def init_node_list_hetero() in cluster-trace-gpu-v2020/simulator/simulator.py	19	6	1
def exp_summary() in cluster-trace-gpu-v2020/simulator/simulator.py	44	6	2
def sorted_node_list() in cluster-trace-gpu-v2020/simulator/scheduler.py	13	5	2
def set_job_list_arrival_time() in cluster-trace-gpu-v2020/simulator/simulator.py	12	5	4
def print_fn() in cluster-trace-gpu-v2020/simulator/utils.py	14	5	2
def get_hourly_task_request() in cluster-trace-gpu-v2020/analysis/utils.py	10	4	1
def preempt_job_sort_node() in cluster-trace-gpu-v2020/simulator/scheduler.py	7	4	3
def __init__() in cluster-trace-gpu-v2020/simulator/node.py	24	4	7
def init_node() in cluster-trace-gpu-v2020/simulator/node.py	10	4	4
def stats_add_done_job() in cluster-trace-gpu-v2020/simulator/job_history.py	30	4	2
def predict() in cluster-trace-gpu-v2020/simulator/job_history.py	10	4	3
def add_job() in cluster-trace-gpu-v2020/simulator/simulator.py	10	4	3
def tic() in cluster-trace-gpu-v2020/simulator/simulator.py	15	4	2
def get_dfa() in cluster-trace-gpu-v2020/analysis/utils.py	16	3	4
def retrieve_job_from_full_list() in cluster-trace-gpu-v2020/simulator/cluster.py	8	3	1
def replace_svc() in cluster-trace-gpu-v2020/simulator/cluster.py	2	3	1
def release_res() in cluster-trace-gpu-v2020/simulator/node.py	4	3	3
def __init__() in cluster-trace-gpu-v2020/simulator/job_history.py	8	3	3
def get_job_metrics() in cluster-trace-gpu-v2020/simulator/job_history.py	8	3	3
def job_done_list_add_job() in cluster-trace-gpu-v2020/simulator/job_history.py	7	3	2
def simulator_go() in cluster-trace-gpu-v2020/simulator/simulator.py	9	3	3
def plot_multi_job_stats() in cluster-trace-gpu-v2020/simulator/utils.py	21	3	2
def plot_multi_cluster_util() in cluster-trace-gpu-v2020/simulator/utils.py	19	3	2
def get_df() in cluster-trace-gpu-v2020/analysis/utils.py	4	2	2
def get_dfia() in cluster-trace-gpu-v2020/analysis/utils.py	11	2	1
def get_cdf() in cluster-trace-gpu-v2020/analysis/utils.py	5	2	2
def draw_bar_plot() in cluster-trace-gpu-v2020/analysis/utils.py	11	2	4
def get_inst_task_num_ratio() in cluster-trace-gpu-v2020/analysis/utils.py	11	2	8
def plan_minus_usg_over_cap_task() in cluster-trace-gpu-v2020/analysis/utils.py	17	2	1
def tic_job() in cluster-trace-gpu-v2020/simulator/cluster.py	36	2	2