aws / selective-search-with-mutual-information-cotraining

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 29 units with 764 lines of code in units (87.1% of code).

1 very complex units (206 lines of code)
0 complex units (0 lines of code)
1 medium complex units (95 lines of code)
5 simple units (174 lines of code)
22 very simple units (289 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 29 most complex units

Unit	# lines	McCabe index	# params
def train_mico() in mico/model/train.py	206	67	2
def infer_on_test() in mico/evaluate/evaluate.py	95	18	2
def forward() in mico/model/mico.py	51	9	6
def __init__() in mico/utils/net_utils.py	23	9	9
def __init__() in mico/dataloader/query_doc_pair.py	44	9	6
def load() in mico/model/mico.py	18	7	3
def monitor_metrics() in mico/utils/utils.py	38	6	2
def generate_json_for_csv_line_offset() in mico/dataloader/query_doc_pair.py	21	5	2
def __getitem__() in mico/dataloader/query_doc_pair.py	24	5	2
def get_init_function() in mico/utils/net_utils.py	8	4	1
def setup_primary_logging() in mico/utils/multiprocess_logging.py	13	3	1
def forward() in mico/utils/net_utils.py	4	3	2
def model_predict() in mico/utils/utils.py	15	3	7
def evaluate() in mico/evaluate/evaluate.py	17	3	4
def __init__() in mico/model/mico.py	25	2	2
def filter() in mico/utils/multiprocess_logging.py	4	2	2
def cross_entropy_p_q() in mico/utils/net_utils.py	4	2	2
def __init__() in mico/dataloader/query_doc_pair.py	18	2	6
def get_loaders() in mico/dataloader/query_doc_pair.py	12	2	7
def __init__() in mico/utils/multiprocess_logging.py	3	1	2
def setup_worker_logging() in mico/utils/multiprocess_logging.py	8	1	2
def __init__() in mico/utils/net_utils.py	6	1	5
def forward() in mico/utils/net_utils.py	4	1	2
def __init__() in mico/utils/net_utils.py	4	1	2
def forward() in mico/utils/net_utils.py	4	1	1
def assign_gpu() in mico/utils/utils.py	8	1	2
def get_model_specific_argparser() in mico/utils/utils.py	75	1	0
def __len__() in mico/dataloader/query_doc_pair.py	2	1	1
def run_experiment_worker() in main.py	10	1	5