aws / sagemaker-mxnet-inference-toolkit
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 20 units with 127 lines of code in units (34.0% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 1 medium size units (21 lines of code)
    • 3 small units (47 lines of code)
    • 16 very small units (59 lines of code)
0% | 0% | 16% | 37% | 46%
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% | 16% | 37% | 46%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
src/sagemaker_mxnet_serving_container0% | 0% | 16% | 37% | 45%
ROOT0% | 0% | 0% | 0% | 100%
Alternative Visuals
Longest Units
Top 20 longest units
Unit# linesMcCabe index# params
def default_input_fn()
in src/sagemaker_mxnet_serving_container/default_inference_handler.py
 21 5 4
def _user_module_transformer()
in src/sagemaker_mxnet_serving_container/handler_service.py
 18 5 1
def default_model_fn()
in src/sagemaker_mxnet_serving_container/default_inference_handler.py
 16 6 3
def read_data_shapes()
in src/sagemaker_mxnet_serving_container/utils.py
 13 3 2
def initialize()
in src/sagemaker_mxnet_serving_container/handler_service.py
 10 2 2
def _call_input_fn()
in src/sagemaker_mxnet_serving_container/mxnet_module_transformer.py
 8 3 4
def default_input_fn()
in src/sagemaker_mxnet_serving_container/default_inference_handler.py
 6 2 3
def _default_transform_fn()
in src/sagemaker_mxnet_serving_container/mxnet_module_transformer.py
 5 1 5
def default_output_fn()
in src/sagemaker_mxnet_serving_container/default_inference_handler.py
 5 3 3
def _update_mxnet_env_vars()
in src/sagemaker_mxnet_serving_container/serving.py
 4 3 0
def main()
in src/sagemaker_mxnet_serving_container/serving.py
 3 1 0
def __init__()
in src/sagemaker_mxnet_serving_container/handler_service.py
 2 1 1
def _retry_if_error()
in src/sagemaker_mxnet_serving_container/serving.py
 2 2 1
def _start_model_server()
in src/sagemaker_mxnet_serving_container/serving.py
 2 1 0
def __init__()
in src/sagemaker_mxnet_serving_container/mxnet_module_transformer.py
 2 1 1
def get_default_context()
in src/sagemaker_mxnet_serving_container/utils.py
 2 1 0
def parse_accept()
in src/sagemaker_mxnet_serving_container/utils.py
 2 1 1
def default_predict_fn()
in src/sagemaker_mxnet_serving_container/default_inference_handler.py
 2 1 3
def default_predict_fn()
in src/sagemaker_mxnet_serving_container/default_inference_handler.py
 2 1 3
def read()
in setup.py
 2 1 1