aws / sagemaker-scikit-learn-container
Unit Size

The distribution of size of units (measured in lines of code).

Intro
  • Unit size measurements show the distribution of size of units of code (methods, functions...).
  • Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
  • You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
Unit Size Overall
  • There are 42 units with 249 lines of code in units (54.8% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 2 medium size units (51 lines of code)
    • 4 small units (52 lines of code)
    • 36 very small units (146 lines of code)
0% | 0% | 20% | 20% | 58%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
py0% | 0% | 24% | 17% | 58%
java0% | 0% | 0% | 39% | 60%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
src/sagemaker_sklearn_container0% | 0% | 25% | 9% | 65%
src/sagemaker_sklearn_container/mms_patch0% | 0% | 23% | 28% | 47%
docker/0.23-1/resources/mms0% | 0% | 0% | 39% | 60%
ROOT0% | 0% | 0% | 0% | 100%
Alternative Visuals
Longest Units
Top 20 longest units
Unit# linesMcCabe index# params
def _set_mms_configs()
in src/sagemaker_sklearn_container/serving_mms.py
 30 7 2
def start_model_server()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 21 4 3
public void doGet()
in docker/0.23-1/resources/mms/ExecutionParameters.java
 15 1 3
def _generate_mms_config_properties()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 14 3 0
def _adapt_to_mms_format()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 12 2 1
def import_module()
in src/sagemaker_sklearn_container/serving.py
 11 6 2
def _retrieve_mms_server_process()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 10 5 0
def main()
in src/sagemaker_sklearn_container/serving.py
 10 2 2
def _install_requirements()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 8 2 0
def _add_sigterm_handler()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 7 2 1
def _reap_children()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 7 3 2
def _user_module_transformer()
in src/sagemaker_sklearn_container/serving.py
 7 1 1
def train()
in src/sagemaker_sklearn_container/training.py
 7 1 1
def _start_model_server()
in src/sagemaker_sklearn_container/serving_mms.py
 6 1 2
def _set_python_path()
in src/sagemaker_sklearn_container/mms_patch/model_server.py
 6 2 0
def start_model_server()
in src/sagemaker_sklearn_container/serving_mms.py
 5 1 0
def default_input_fn()
in src/sagemaker_sklearn_container/handler_service.py
 5 3 2
def serving_entrypoint()
in src/sagemaker_sklearn_container/serving.py
 5 2 0
public SagemakerXgboostResponse()
in docker/0.23-1/resources/mms/ExecutionParameters.java
 5 1 0
def _set_default_if_not_exist()
in src/sagemaker_sklearn_container/serving_mms.py
 3 2 2