uber / bayesmark 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 248 units with 2,698 lines of code in units (68.3% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
14 medium complex units (632 lines of code)
22 simple units (464 lines of code)
212 very simple units (1,602 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 gen_commands() in bayesmark/experiment_launcher.py	46	22	3
def load_rev_number() in bayesmark/cmd_parse.py	25	15	0
def __init__() in bayesmark/space.py	49	14	6
def _csv_loader() in bayesmark/data.py	24	12	4
def build_manipulator() in bayesmark/builtin_opt/opentuner_optimizer.py	31	12	1
def get_hyperopt_dimensions() in bayesmark/builtin_opt/hyperopt_optimizer.py	40	12	1
def build_manipulator() in example_opt_root/opentuner_optimizer.py	31	12	1
def get_hyperopt_dimensions() in example_opt_root/hyperopt_optimizer.py	40	12	1
def compute_aggregates() in bayesmark/experiment_analysis.py	83	11	3
def concat_experiments() in bayesmark/experiment_aggregate.py	37	11	2
def run_study() in bayesmark/experiment.py	61	11	6
def experiment_main() in bayesmark/experiment.py	99	11	2
def get_sk_dimensions() in bayesmark/builtin_opt/scikit_optimizer.py	33	11	2
def get_sk_dimensions() in example_opt_root/scikit_optimizer.py	33	11	2
def main() in bayesmark/experiment_launcher.py	30	10	0
def suggest() in bayesmark/builtin_opt/opentuner_optimizer.py	25	10	2
def suggest() in example_opt_root/opentuner_optimizer.py	25	10	2
def main() in bayesmark/experiment_analysis.py	60	9	0
def min_quantile_CI() in bayesmark/quantiles.py	12	9	4
def is_simple_coords() in bayesmark/xr_util.py	12	9	3
def compute_baseline() in bayesmark/experiment_baseline.py	52	9	1
def max_quantile_CI() in bayesmark/quantiles.py	12	8	4
def get_nvg_dimensions() in bayesmark/builtin_opt/nevergrad_optimizer.py	38	8	1
def get_nvg_dimensions() in example_opt_root/nevergrad_optimizer.py	38	8	1
def unwarp() in bayesmark/space.py	10	7	3
def _check_x_y() in bayesmark/random_search.py	18	7	3
def _get_opt_class() in bayesmark/experiment.py	18	7	1
def observe() in bayesmark/builtin_opt/scikit_optimizer.py	5	7	3
def observe() in example_opt_root/scikit_optimizer.py	5	7	3
def __init__() in bayesmark/sklearn_funcs.py	28	6	6
def snap_to() in bayesmark/np_util.py	8	6	2
def main() in bayesmark/experiment_aggregate.py	23	6	0
def parse_args() in bayesmark/cmd_parse.py	12	6	2
def coord_compat() in bayesmark/xr_util.py	10	6	2
def ds_concat() in bayesmark/xr_util.py	11	6	2
def build_suggest_ds() in bayesmark/experiment.py	12	6	1
def get_problem_type() in bayesmark/data.py	9	5	1
def t_EB() in bayesmark/stats.py	12	5	3
def real_run() in bayesmark/experiment_launcher.py	15	5	4
def encode() in bayesmark/space.py	9	5	5
def __init__() in bayesmark/space.py	13	5	2
def validate() in bayesmark/space.py	7	5	2
def warp() in bayesmark/space.py	17	5	2
def load_experiments() in bayesmark/experiment_aggregate.py	27	5	3
def infer_settings() in bayesmark/cmd_parse.py	11	5	2
def quantile_CI() in bayesmark/quantiles.py	10	5	3
def ds_like() in bayesmark/xr_util.py	6	5	4
def da_concat() in bayesmark/xr_util.py	20	5	2
def _check_bounds() in bayesmark/random_search.py	9	5	2
def do_baseline() in bayesmark/experiment_baseline.py	13	5	1