neo-ai / neo-loader
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 139 units with 1,048 lines of code in units (78.9% of code).
    • 0 very long units (0 lines of code)
    • 0 long units (0 lines of code)
    • 6 medium size units (165 lines of code)
    • 28 small units (406 lines of code)
    • 105 very small units (477 lines of code)
0% | 0% | 15% | 38% | 45%
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% | 15% | 38% | 45%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
src/neo_loader0% | 0% | 17% | 37% | 45%
src/neo_loader/helpers0% | 0% | 10% | 45% | 43%
Alternative Visuals
Longest Units
Top 20 longest units
Unit# linesMcCabe index# params
def load_model()
in src/neo_loader/sklearn_model_loader.py
 36 17 1
def load_model()
in src/neo_loader/mxnet_model_loader.py
 28 9 1
def load_model()
in src/neo_loader/pytorch_model_loader.py
 27 5 1
def __update_input_data_from_data_shape()
in src/neo_loader/abstract_model_loader.py
 26 13 1
def __extract_input_and_output_tensors_from_frozen_graph()
in src/neo_loader/helpers/tf_model_helper.py
 24 13 1
def __get_param_file_from_model_artifact()
in src/neo_loader/mxnet_model_loader.py
 24 6 1
def extract_model_artifacts()
in src/neo_loader/__init__.py
 19 4 3
def __extract_input_and_output_tensors_from_saved_model_v2()
in src/neo_loader/helpers/tf_model_helper.py
 19 6 1
def load_model()
in src/neo_loader/xgboost_model_loader.py
 19 3 1
def __extract_tf_graph()
in src/neo_loader/tensorflow_model_loader.py
 19 6 1
18 4 1
def __extract_input_and_output_tensors_from_saved_model()
in src/neo_loader/helpers/tf_model_helper.py
 17 4 1
def __extract_metadata_and_output_tensor_names_from_model()
in src/neo_loader/tensorflow_model_loader.py
 17 5 1
def load_model()
in src/neo_loader/tensorflow_model_loader.py
 17 3 1
def load_model()
in src/neo_loader/tflite_model_loader.py
 17 3 1
def get_tf_graph_from_graph_model_v2()
in src/neo_loader/helpers/tf_model_helper.py
 16 4 1
def __get_model_dir_from_model_artifacts()
in src/neo_loader/tensorflow_model_loader.py
 15 7 1
def __get_outputs_from_relay()
in src/neo_loader/abstract_model_loader.py
 15 5 1
def __get_symbol_file_from_model_artifact()
in src/neo_loader/mxnet_model_loader.py
 15 5 1
def __validata_data_shape_with_input_layer()
in src/neo_loader/keras_model_loader.py
 14 7 2