alibaba / EasyRec - 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 2,027 units with 36,515 lines of code in units (81.7% of code).

5 very complex units (1,211 lines of code)
26 complex units (3,625 lines of code)
117 medium complex units (7,019 lines of code)
297 simple units (8,864 lines of code)
1,582 very simple units (15,796 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 optimize_loss() in easy_rec/python/compat/optimizers.py	232	78	17
def main() in pai_jobs/run.py	301	74	1
def _train_model_fn() in easy_rec/python/model/easy_rec_estimator.py	268	71	4
def load_data_proc() in easy_rec/python/input/load_parquet.py	161	55	15
def _internal_input_layer() in easy_rec/python/compat/feature_column/feature_column.py	249	55	10
def export_big_model_to_oss() in easy_rec/python/utils/export_big_model.py	285	49	7
lua function parseTable() in pai_jobs/easy_rec_flow/easy_rec.lua	217	48	14
lua function parseTable() in pai_jobs/easy_rec_flow_ex/easy_rec_ext.lua	217	48	14
def export_big_model() in easy_rec/python/utils/export_big_model.py	233	45	7
def __init__() in easy_rec/python/input/input.py	126	43	9
def __init__() in easy_rec/python/feature_column/feature_column.py	128	41	5
def build() in easy_rec/python/builders/loss_builder.py	180	39	7
lua function getHyperParams() in pai_jobs/easy_rec_flow/easy_rec.lua	167	38	45
lua function getHyperParams() in pai_jobs/easy_rec_flow_ex/easy_rec_ext.lua	167	38	45
def convert_rtp_fg() in easy_rec/python/utils/convert_rtp_fg.py	192	37	13
def edit_config() in easy_rec/python/utils/config_util.py	120	37	2
def _preprocess() in easy_rec/python/input/input.py	113	34	2
def _build_metric_impl() in easy_rec/python/model/rank_model.py	143	33	6
def _analyze_split_string() in easy_rec/python/layers/keras/einsum_dense.py	84	33	5
def build_kd_loss() in easy_rec/python/builders/loss_builder.py	110	32	4
def set_tf_config_and_get_train_worker_num() in easy_rec/python/utils/distribution_utils.py	164	31	6
def _parse_raw_feature() in easy_rec/python/input/input.py	111	30	4
def __init__() in easy_rec/python/layers/backbone.py	138	30	5
def __init__() in easy_rec/python/layers/uniter.py	100	30	6
def restore() in easy_rec/python/model/easy_rec_model.py	107	28	5
def _parse_features() in easy_rec/python/tools/create_config_from_excel.py	64	27	1
def process_features() in easy_rec/python/utils/convert_rtp_fg.py	125	26	7
def _process_config() in easy_rec/python/tools/feature_selection.py	59	26	2
def main() in easy_rec/python/tools/add_feature_info_to_config.py	102	26	1
def _analyze_quantization_info() in easy_rec/python/layers/keras/einsum_dense.py	104	26	2
def main() in easy_rec/python/export.py	69	26	1
def __init__() in easy_rec/python/layers/cmbf.py	105	25	6
def call() in easy_rec/python/layers/common_layers.py	47	25	3
def build_predict_graph() in easy_rec/python/model/mind.py	156	24	1
def kill_old_proc() in easy_rec/python/utils/hpo_util.py	49	24	2
def _get_restore_vars() in easy_rec/python/model/easy_rec_model.py	55	22	2
def clear_save_assign() in easy_rec/python/utils/meta_graph_editor.py	59	22	1
def embedding_parallel_lookup() in easy_rec/python/compat/feature_column/feature_column.py	95	21	6
def _init_graph() in easy_rec/python/core/sampler.py	74	21	1
def _parse_csv() in easy_rec/python/input/rtp_input.py	64	20	2
def _parse_csv() in easy_rec/python/input/hive_rtp_input.py	60	20	2
def _train_and_evaluate_impl() in easy_rec/python/main.py	88	20	5
def distribute_evaluate() in easy_rec/python/main.py	137	20	4
def _confusion_matrix_at_thresholds() in easy_rec/python/core/easyrec_metrics/distribute_metrics_impl_pai.py	100	20	5
def _confusion_matrix_at_thresholds() in easy_rec/python/core/easyrec_metrics/distribute_metrics_impl_tf.py	100	20	5
def _parse_seq_feature() in easy_rec/python/input/input.py	121	19	4
def call_layer() in easy_rec/python/layers/backbone.py	59	19	6
def _distribute_separated_auc_impl() in easy_rec/python/core/metrics.py	83	19	5
def get_norm_embed_name() in easy_rec/python/utils/proto_util.py	36	18	2
def _send_sparse() in easy_rec/python/utils/estimator_utils.py	54	18	3