GoogleCloudPlatform / container-engine-accelerators

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 137 units with 2,238 lines of code in units (35.4% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
13 medium complex units (744 lines of code)
20 simple units (496 lines of code)
104 very simple units (998 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
func() in pkg/gpu/nvidia/mig/mig.go	112	22	1
func() in pkg/gpu/nvidia/manager.go	88	19	1
def find_schedulable_nodes() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	60	16	3
func main() in partition_gpu/partition_gpu.go	64	15	0
def calculate_pods_assignment() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	29	14	2
func() in pkg/gpu/nvidia/health_check/health_checker.go	58	14	1
func main() in cmd/nvidia_gpu/nvidia_gpu.go	67	14	0
def run_scheduling_loop() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	48	13	0
func() in pkg/gpu/nvidia/health_check/health_checker.go	39	12	1
def run_scheduling_loop() in gke-topology-scheduler/schedule-daemon.py	41	11	0
def find_schedulable_pods() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	61	11	2
func GetDevicesForAllContainers() in pkg/gpu/nvidia/metrics/devices.go	46	11	0
def file_passes() in build/boilerplate/boilerplate.py	31	11	3
func() in pkg/gpu/nvidia/manager.go	31	9	1
def get_files() in build/boilerplate/boilerplate.py	19	9	1
func numaNode() in pkg/gpu/nvidia/nvmlutil/nvmlutil.go	31	8	2
func() in pkg/gpu/nvidia/manager.go	25	8	1
func() in pkg/gpu/nvidia/beta_plugin.go	31	8	1
func() in nri_device_injector/nri_device_injector.go	41	8	1
func checkGpuType() in partition_gpu/partition_gpu.go	21	8	0
def can_schedule() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	12	7	2
func() in pkg/gpu/nvidia/metrics/metrics.go	31	7	1
func() in pkg/gpu/nvidia/manager.go	27	7	1
func cleanupAllGPUPartitions() in partition_gpu/partition_gpu.go	19	7	0
def can_schedule() in gke-topology-scheduler/schedule-daemon.py	11	6	4
def schedule_pod_on_node() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	27	6	5
func() in pkg/gpu/nvidia/manager.go	26	6	1
func ValidateRequest() in pkg/gpu/nvidia/gpusharing/gpusharing.go	10	6	2
def normalize_files() in build/boilerplate/boilerplate.py	10	6	1
int main() in example/cuda-mps/cuda_mem_and_sm_count.c	37	6	2
func() in nri_device_injector/nri_device_injector.go	34	6	1
func getDevices() in nri_device_injector/nri_device_injector.go	27	6	2
func main() in nvidia-persistenced-installer/nvidia_persistenced_installer.go	26	6	0
def pod_sorting_key() in gke-topology-scheduler/schedule-daemon.py	18	5	2
def pod_sorting_key() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	11	5	1
def node_topology_key() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	15	5	1
def get_pod_used_resources() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	14	5	1
def find_pod_gates() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	8	5	2
func getGpuMetricsInfo() in pkg/gpu/nvidia/metrics/metrics.go	24	5	2
func DiscoverGPUDevices() in pkg/gpu/nvidia/metrics/devices.go	22	5	0
func() in pkg/gpu/nvidia/manager.go	17	5	1
func totalMemPerGPU() in pkg/gpu/nvidia/manager.go	18	5	0
func() in pkg/gpu/nvidia/health_check/health_checker.go	21	5	1
func() in pkg/gpu/nvidia/mig/mig.go	17	5	1
func() in pkg/gpu/nvidia/beta_plugin.go	16	5	1
func nvidiaVersionMajor() in nvidia-persistenced-installer/nvidia_persistenced_installer.go	15	5	1
def get_pods_taint_toleration() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	9	4	1
def schedule_pod_with_gate() in gpudirect-tcpxo/topology-scheduler/schedule-daemon.py	30	4	3
func AverageGPUUtilization() in pkg/gpu/nvidia/metrics/util.go	17	4	2
func() in pkg/gpu/nvidia/metrics/metrics.go	21	4	1