aws / sagemaker-tensorflow-serving-container
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

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 84 units with 1,047 lines of code in units (87.8% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 2 medium complex units (141 lines of code)
    • 12 simple units (332 lines of code)
    • 70 very simple units (574 lines of code)
0% | 0% | 13% | 31% | 54%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
py0% | 0% | 16% | 28% | 55%
js0% | 0% | 0% | 48% | 51%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
docker/build_artifacts/sagemaker0% | 0% | 14% | 33% | 52%
docker/build_artifacts0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def __init__()
in docker/build_artifacts/sagemaker/serve.py
 60 13 1
def _handle_load_model_post()
in docker/build_artifacts/sagemaker/python_service.py
 81 12 3
def _setup_gunicorn()
in docker/build_artifacts/sagemaker/serve.py
 42 9 1
def _monitor()
in docker/build_artifacts/sagemaker/serve.py
 19 8 1
function parse_custom_attributes()
in docker/build_artifacts/sagemaker/tensorflow-serving.js
 27 7 1
function csv_request()
in docker/build_artifacts/sagemaker/tensorflow-serving.js
 33 7 1
def create_batching_config()
in docker/build_artifacts/sagemaker/tfs_utils.py
 40 7 1
def _handle_invocation_post()
in docker/build_artifacts/sagemaker/python_service.py
 38 6 4
def on_get()
in docker/build_artifacts/sagemaker/python_service.py
 37 6 4
function invocations()
in docker/build_artifacts/sagemaker/tensorflow-serving.js
 10 6 1
function json_lines_request()
in docker/build_artifacts/sagemaker/tensorflow-serving.js
 18 6 2
def _create_tfs_config()
in docker/build_artifacts/sagemaker/serve.py
 28 6 1
def _stop()
in docker/build_artifacts/sagemaker/serve.py
 19 6 2
def wait_for_model()
in docker/build_artifacts/sagemaker/tfs_utils.py
 21 6 4
def __init__()
in docker/build_artifacts/sagemaker/python_service.py
 23 5 1
def validate_model_dir()
in docker/build_artifacts/sagemaker/python_service.py
 9 5 2
def validate_model_versions()
in docker/build_artifacts/sagemaker/python_service.py
 7 5 2
function callback()
in docker/build_artifacts/sagemaker/tensorflow-serving.js
 14 5 1
def _download_scripts()
in docker/build_artifacts/sagemaker/serve.py
 16 5 3
def find_models()
in docker/build_artifacts/sagemaker/tfs_utils.py
 10 5 0