alibaba / sreworks-ext - 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 908 units with 10,608 lines of code in units (56.8% of code).

0 very complex units (0 lines of code)
2 complex units (160 lines of code)
31 medium complex units (1,334 lines of code)
62 simple units (1,661 lines of code)
813 very simple units (7,453 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 generate_positive_samples() in aiops/ContrastiveLearningLogClustering/utils/datasets.py	55	28	2
def test() in aiops/ContraAD/solver.py	105	27	1
def evaluate() in aiops/MicroAgents/utils/evaluate.py	72	22	3
def cal_metric() in aiops/ContraAD/model/PointAttention.py	61	21	6
def ksigma_anomaly_detection() in aiops/MicroAgents/layers/data_layer/anomaly_detection.py	50	20	6
def adjust_learning_rate() in aiops/Pathformer_ICLR2024/utils/tools.py	31	19	5
def train() in aiops/Pathformer_ICLR2024/exp/exp_main.py	89	17	2
def generate_neutral_samples() in aiops/ContrastiveLearningLogClustering/utils/datasets.py	43	17	3
def load_event_log() in aiops/ContrastiveLearningLogClustering/utils/datasets.py	40	17	3
def analyze() in aiops/MicroAgents/agentnn/agentnn.py	90	17	16
def directional_analyze() in aiops/MicroAgents/layers/system/system_analyzer.py	49	17	10
def anomaly_detection() in aiops/MicroAgents/layers/data_layer/log.py	49	17	9
def generate_negetive_samples() in aiops/ContrastiveLearningLogClustering/utils/datasets.py	43	14	4
def industry_positive_samples() in aiops/ContrastiveLearningLogClustering/utils/datasets.py	33	14	2
def create_signal() in aiops/ContraLSP/switchstate/switchgenerator.py	53	14	4
def analyze() in aiops/MicroAgents/layers/data_layer/datanalyzer.py	29	14	5
def make_worker_request() in runnable-hub/python/runnable_workers/processWorker/worker.py	37	13	6
def tools() in aibond/aibond/core.py	23	13	3
def positional_encoding() in aiops/Pathformer_ICLR2024/layers/Embedding.py	25	13	4
def get_loader_segment() in aiops/ContraAD/data_factory/data_loader.py	36	13	7
def load_metric() in aiops/MicroAgents/loader/nezha.py	28	13	5
def parse_partial_json() in aiops/MicroAgents/utils/json.py	44	13	3
def adjust_predicts() in aiops/AnomalyDetection/model/eval_methods.py	35	13	5
def step() in aiops/ContraLSP/attribution/gatemasknn.py	47	11	4
def _triplet_loss() in aiops/ContraLSP/attribution/gatemasknn.py	54	11	2
def step() in aiops/ContraLSP/abstudy/gatemasknn_no_smooth.py	47	11	4
def _triplet_loss() in aiops/ContraLSP/abstudy/gatemasknn_no_smooth.py	54	11	2
def encode_filters() in aiops/RCRank/model/modules/QueryFormer/utils.py	26	11	3
def load() in aiops/MicroAgents/loader/nezha.py	63	11	1
def load_label() in aiops/MicroAgents/loader/nezha.py	28	11	3
def get_data_at_time() in aiops/MicroAgents/utils/process.py	12	11	6
def analyze() in aiops/MicroAgents/layers/system/system_analyzer.py	25	11	11
def rule_detection() in aiops/MicroAgents/layers/data_layer/anomaly_detection.py	18	11	3
def test() in aiops/Pathformer_ICLR2024/exp/exp_main.py	62	10	3
def step() in aiops/ContraLSP/abstudy/gatemasknn_no_both.py	44	10	4
def step() in aiops/ContraLSP/abstudy/gatemasknn_no_counterf.py	44	10	4
def get_job_table_sample() in aiops/RCRank/model/modules/QueryFormer/utils.py	36	10	2
def add_ano_col() in aiops/MicroAgents/loader/base.py	7	10	1
def get_k_order_neighbors_with_direction() in aiops/MicroAgents/layers/utils.py	21	10	6
def detectAnomaly() in aiops/AnomalyDetection/model/Model.py	64	10	6
def insertAnomaly() in aiops/AnomalyDetection/utils/utils.py	31	10	7
def insertAnomaly() in aiops/AnomalyDetection/datas/GenerateSyncData.py	31	10	7
def exec_command() in aibond/cases/hdfs-analyse/hdfscluster.py	30	9	4
def __read_data__() in aiops/Pathformer_ICLR2024/data_provider/data_loader.py	49	9	1
def clustering_evaluate() in aiops/ContrastiveLearningLogClustering/utils/evaluation.py	58	9	3
def get_hist_file() in aiops/RCRank/model/modules/QueryFormer/utils.py	21	9	2
def filterDict2Hist() in aiops/RCRank/model/modules/QueryFormer/utils.py	34	9	3
def formatJoin() in aiops/RCRank/model/modules/QueryFormer/utils.py	14	9	1
def to_message_text() in aiops/MicroAgents/logger/logger.py	16	9	2
def complexRender() in runnable-hub/python/runnable_workers/processWorker/worker.py	15	8	3