openai / deeptype - 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 341 units with 9,427 lines of code in units (86.3% of code).

0 very complex units (0 lines of code)
3 complex units (260 lines of code)
34 medium complex units (3,379 lines of code)
55 simple units (1,953 lines of code)
249 very simple units (3,835 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 extend_relations_worker() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/successor_mask.pyx	115	32	16
def generate_batch() in learning/batchifier.py	57	28	2
def main() in extraction/project_graph.py	88	26	0
def produce_window_dataset() in extraction/produce_windowed_h5_tsv.py	81	24	3
def learnability() in learning/evaluate_learnability.py	116	23	16
def accuracy() in learning/train_type.py	94	22	10
def cem_project() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/fast_disambiguate.pyx	118	21	10
def main() in extraction/evolve_type_system.py	102	21	0
def get_wikidata_mapping() in extraction/get_wikiname_to_wikidata.py	75	21	5
def restore_session() in learning/train_type.py	52	20	7
def convert_lines_to_examples() in learning/dataset.py	38	20	7
def beam_project() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/fast_disambiguate.pyx	123	20	9
def main() in extraction/get_wikiname_to_wikidata.py	117	18	0
def get_feature_vocabs() in learning/batchifier.py	43	17	3
def main() in extraction/compress_wikidata_msgpack.py	34	17	0
def tag_sentences() in learning/train_type.py	42	15	2
def related_promote_highest() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/successor_mask.pyx	43	15	9
def iterate_anchor_lines() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/successor_mask.pyx	84	15	4
def obtain_tags() in extraction/evaluate_type_system.py	50	15	12
def predict_topk_sentences() in learning/train_type.py	43	14	3
def count_examples() in learning/dataset.py	25	14	4
def is_member_with_path() in wikidata_linker_utils_src/src/python/wikidata_linker_utils/type_collection.py	22	14	5
def main() in learning/train_type.py	107	13	0
def beam_project_worker() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/fast_disambiguate.pyx	91	13	12
def reduce_values() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/successor_mask.pyx	90	13	6
def annotate_document() in extraction/produce_wikidata_tsv.py	73	13	9
def build_loss() in learning/train_type.py	164	12	8
def build_model() in learning/train_type.py	78	12	21
def satisfy() in wikidata_linker_utils_src/src/python/wikidata_linker_utils/type_collection.py	34	12	4
def construct_mapping() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/successor_mask.pyx	78	12	5
def can_disambiguate() in extraction/evaluate_type_system.py	36	12	7
def summarize_ambiguities() in extraction/evaluate_type_system.py	33	12	3
def classify() in extraction/classifiers/type_classifier.py	1201	12	1
def extract_feat() in learning/batchifier.py	39	11	1
def get_vocabs() in learning/batchifier.py	23	11	3
def clean_up_trie_source() in wikidata_linker_utils_src/src/python/wikidata_linker_utils/anchor_filtering.py	17	11	2
def merge_tags() in extraction/produce_wikidata_tsv.py	13	11	3
def decompose_layer_params() in learning/train_type.py	39	10	7
def __init__() in learning/train_type.py	76	10	24
def load_dataset_separate() in learning/train_type.py	39	10	2
def present_outcome() in learning/train_type.py	38	10	3
def __init__() in learning/batchifier.py	46	10	16
def iter_batches() in learning/batchifier.py	21	10	2
def ga_project() in wikidata_linker_utils_src/src/cython/wikidata_linker_utils/fast_disambiguate.pyx	77	10	11
def main() in extraction/evaluate_type_system.py	59	10	0
def cpu_cudnn_params() in learning/train_type.py	42	9	6
def build_inputs() in learning/train_type.py	132	9	5
def recover_graph_variables() in learning/train_type.py	40	9	1
def load() in learning/train_type.py	41	9	10
def set_bad_node() in wikidata_linker_utils_src/src/python/wikidata_linker_utils/type_collection.py	22	9	3