alibaba / imood - 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).

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Conditional Complexity Overall

There are 164 units with 1,962 lines of code in units (77.4% of code).

0 very complex units (0 lines of code)
1 complex units (158 lines of code)
9 medium complex units (447 lines of code)
13 simple units (386 lines of code)
141 very simple units (971 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 train() in train.py	158	32	3
def build_dataset() in utils/common.py	116	25	3
def get_ood_scores() in models/base.py	45	19	4
def __init__() in datasets/ClassPrioritySampler.py	86	19	16
def __init__() in datasets/MixedPrioritizedSampler.py	70	15	14
def parse_ada_ood_logits() in models/base.py	18	13	4
def build_model() in utils/common.py	26	12	6
def shot_acc() in utils/ltr_metrics.py	35	11	4
def parse_logits() in models/base.py	31	11	5
def reset_weights() in datasets/ClassPrioritySampler.py	20	11	2
def reset_weights() in datasets/MixedPrioritizedSampler.py	19	10	2
def calc_loss() in models/base.py	61	9	7
def calc_aux_loss() in models/base.py	57	9	4
def my_cl_loss_fn3() in utils/loss_fn.py	49	8	8
def forward() in models/base.py	17	8	4
def create_save_path() in train.py	28	8	2
def shot_ood() in utils/ltr_metrics.py	21	7	2
def build_plain_train_loader() in utils/common.py	47	7	1
def __getitem__() in models/feat_pool.py	35	7	2
def update_whole() in datasets/ClassPrioritySampler.py	11	7	2
def update_whole() in datasets/MixedPrioritizedSampler.py	9	6	2
def update_weights() in datasets/ClassPrioritySampler.py	16	6	4
def get_img_num_per_cls() in datasets/ImbalanceCIFAR.py	16	6	4
def build_prior() in utils/common.py	14	5	6
def get_balanced_weights() in datasets/MixedPrioritizedSampler.py	16	5	2
def update_delta() in datasets/ClassPrioritySampler.py	15	5	3
def __init__() in datasets/ImbalanceImageNet.py	13	5	5
def __init__() in datasets/ClassAwareSampler.py	9	5	3
def shot_ood2() in utils/ltr_metrics.py	13	4	2
def set_random_seed() in utils/utils.py	10	4	1
def de_parallel() in utils/utils.py	2	4	1
def initialize() in datasets/MixedPrioritizedSampler.py	7	4	2
def get_leaf() in datasets/MixedPrioritizedSampler.py	17	4	2
def get_manual_weights() in datasets/MixedPrioritizedSampler.py	8	4	2
def download_imagenet_whole() in datasets/ImageNet_LT/download.py	22	4	1
def initialize() in datasets/ClassPrioritySampler.py	9	4	2
def get_leaf() in datasets/ClassPrioritySampler.py	17	4	2
def get_manual_weights() in datasets/ClassPrioritySampler.py	8	4	2
def get_balanced_weights() in datasets/ClassPrioritySampler.py	14	4	2
def class_aware_sample_generator() in datasets/ClassAwareSampler.py	13	4	4
def is_parallel() in utils/utils.py	2	3	1
def calc_maha_score() in models/base.py	5	3	2
def __init__() in models/resnet.py	12	3	6
def __init__() in models/resnet.py	22	3	8
def __init__() in models/feat_pool.py	24	3	6
def update() in models/feat_pool.py	9	3	3
def calc_maha_score() in models/feat_pool.py	19	3	3
def __init__() in datasets/MixedPrioritizedSampler.py	11	3	5
def reset_fixed_weights() in datasets/MixedPrioritizedSampler.py	9	3	3
def update_weights() in datasets/MixedPrioritizedSampler.py	6	3	3