aws / deep-learning-containers - 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 491 units with 6,404 lines of code in units (76.3% of code).

2 very complex units (351 lines of code)
0 complex units (0 lines of code)
14 medium complex units (690 lines of code)
58 simple units (1,652 lines of code)
417 very simple units (3,711 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 image_builder() in src/image_builder.py	269	76	3
def main() in src/main.py	82	51	0
def is_test_job_enabled() in src/start_testbuilds.py	22	21	1
def main() in src/start_testbuilds.py	34	21	0
def get_safety_ignore_dict() in src/utils.py	44	15	4
def _handle_invocation_post() in tensorflow/inference/docker/build_artifacts/sagemaker/python_service.py	74	14	4
def __init__() in tensorflow/inference/docker/build_artifacts/sagemaker/serve.py	81	14	1
def __init__() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/serve.py	85	14	1
def parse() in web_scraper/web_scraper/spiders/cve_spiders.py	31	13	2
def find_latest_version_path() in src/prepare_dlc_dev_environment.py	36	13	5
def _handle_load_model_post() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/python_service.py	91	12	3
def main() in src/prepare_dlc_dev_environment.py	40	12	0
def parse_pytest_data() in src/send_test_notification.py	42	12	0
def query_status() in scheduler/job_requester/requester.py	38	12	2
def is_test_job_implemented_for_framework() in src/start_testbuilds.py	40	11	2
def fetch_dlc_images_for_test_jobs() in src/utils.py	32	11	2
def _load_model() in tensorflow/inference/docker/build_artifacts/sagemaker/python_service.py	98	10	6
def _setup_gunicorn() in tensorflow/inference/docker/build_artifacts/sagemaker/serve.py	55	10	1
def set_buildspec() in src/prepare_dlc_dev_environment.py	39	10	2
def process_report() in src/safety_report_generator.py	24	10	1
def build_setup() in src/utils.py	23	10	4
def _handle_invocation_post() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/python_service.py	60	9	4
def _setup_gunicorn() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/serve.py	55	9	1
def override() in src/buildspec.py	15	9	2
def create_new_file_with_updated_version() in src/prepare_dlc_dev_environment.py	29	9	3
def parse_args() in src/deep_learning_container.py	35	9	0
def _handle_load_model_post() in tensorflow/inference/docker/build_artifacts/sagemaker/python_service.py	40	8	3
def _monitor() in tensorflow/inference/docker/build_artifacts/sagemaker/serve.py	19	8	1
def _monitor() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/serve.py	19	8	1
def run_test_job() in src/start_testbuilds.py	56	8	3
def is_pr_build_job_flavor_dedicated() in src/config.py	21	8	0
def does_dev_config_enable_any_build_modes() in src/config.py	19	8	0
def requests_helper_imds() in src/deep_learning_container.py	21	8	2
def process_images() in src/image_builder.py	20	8	3
def build() in src/image.py	18	8	1
def docker_build() in src/image.py	41	8	3
def delete_resources() in eks_infrastructure/eks_cleanup/eks_cleanup_job.py	16	7	4
function parse_custom_attributes() in tensorflow/inference/docker/build_artifacts/sagemaker/tensorflowServing.js	27	7	1
function csv_request() in tensorflow/inference/docker/build_artifacts/sagemaker/tensorflowServing.js	33	7	1
def create_batching_config() in tensorflow/inference/docker/build_artifacts/sagemaker/tfs_utils.py	55	7	1
function parse_custom_attributes() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/tensorflowServing.js	27	7	1
function csv_request() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/tensorflowServing.js	33	7	1
def create_batching_config() in tensorflow/inference/docker/build_artifacts/sagemaker_neuron/tfs_utils.py	55	7	1
def run_deep_canary_pr_testbuilds() in src/start_testbuilds.py	21	7	0
def __init__() in src/context.py	9	7	4
def override_existing_buildspec() in src/prepare_dlc_dev_environment.py	24	7	1
function invocations() in tensorflow/inference/docker/build_artifacts/sagemaker/tensorflowServing.js	10	6	1
function json_lines_request() in tensorflow/inference/docker/build_artifacts/sagemaker/tensorflowServing.js	18	6	2
def on_get() in tensorflow/inference/docker/build_artifacts/sagemaker/python_service.py	37	6	4
def _need_python_service() in tensorflow/inference/docker/build_artifacts/sagemaker/serve.py	11	6	1