huggingface / data-measurements-tool 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 208 units with 2,630 lines of code in units (78.1% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
7 medium complex units (303 lines of code)
16 simple units (399 lines of code)
185 very simple units (1,928 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 find_cluster_beam() in data_measurements/embeddings/embeddings.py	58	15	3
def get_typed_features() in utils/dataset_utils.py	26	13	3
def merge_nodes() in data_measurements/embeddings/embeddings.py	53	13	5
def get_label_features() in utils/dataset_utils.py	24	11	2
def extract_field() in utils/dataset_utils.py	23	11	3
def sidebar_selection() in utils/gradio_utils.py	47	11	2
def make_tree_plot() in data_measurements/embeddings/embeddings.py	72	11	4
def load_or_prepare_zipf() in data_measurements/dataset_statistics.py	21	8	2
def run_DMT_processing() in data_measurements/lengths/lengths.py	17	8	1
def update_dataset() in utils/gradio_utils.py	15	7	2
def finalize_node() in data_measurements/embeddings/embeddings.py	18	7	3
def run_DMT_processing() in data_measurements/labels/labels.py	18	7	1
def load_or_prepare_general_stats() in data_measurements/dataset_statistics.py	21	7	2
def _prepare_identity_terms() in data_measurements/npmi/npmi.py	13	7	1
def calc_cooccurrences() in data_measurements/npmi/npmi.py	31	7	3
def load_or_prepare() in run_data_measurements.py	73	7	3
def calc_cooccurrences() in npmi/npmi.py	27	7	3
def load_or_prepare_widgets() in app.py	28	6	5
def create_demo() in app.py	65	6	2
def run_DMT_processing() in data_measurements/text_duplicates/text_duplicates.py	10	6	2
def load_or_prepare_text_dataset() in data_measurements/dataset_statistics.py	11	6	2
def load_or_prepare_vocab() in data_measurements/dataset_statistics.py	20	6	2
def load_or_prepare_dataset() in data_measurements/dataset_statistics.py	11	6	2
def get_dataset_info_dicts() in utils/dataset_utils.py	17	5	1
def update_config() in utils/gradio_utils.py	9	5	3
def make_label_fig() in data_measurements/labels/labels.py	25	5	2
def prepare_labels() in data_measurements/labels/labels.py	19	5	3
def load_or_prepare_labels() in data_measurements/dataset_statistics.py	10	5	2
def load_or_prepare_dset_peek() in data_measurements/dataset_statistics.py	9	5	2
def load_or_prepare_tokenized_df() in data_measurements/dataset_statistics.py	11	5	2
def run_DMT_processing() in data_measurements/perplexity/perplexity.py	7	5	1
def load_or_prepare_dmt_results() in data_measurements/npmi/npmi.py	11	5	1
def _write_debug_msg() in data_measurements/npmi/npmi.py	16	5	5
def set_defaults() in run_data_measurements.py	14	5	1
def show_column() in app.py	14	4	4
def update() in widgets/npmi.py	26	4	2
def pull_cache_from_hub() in utils/dataset_utils.py	16	4	2
def expander_text_lengths() in utils/gradio_utils.py	45	4	2
def expander_zipf() in utils/gradio_utils.py	55	4	2
def npmi_widget() in utils/gradio_utils.py	28	4	2
def prepare_merges() in data_measurements/embeddings/embeddings.py	32	4	4
def _load_label_cache() in data_measurements/labels/labels.py	8	4	1
def _prepare_labels() in data_measurements/labels/labels.py	15	4	1
def do_tokenization() in data_measurements/tokenize.py	18	4	1
def calc_fit() in data_measurements/zipf/zipf.py	9	4	1
def _set_xmax() in data_measurements/zipf/zipf.py	7	4	1
def make_unique_rank_word_list() in data_measurements/zipf/zipf.py	13	4	1
def load_lengths_cache() in data_measurements/lengths/lengths.py	7	4	1
def _write_lengths_cache() in data_measurements/lengths/lengths.py	8	4	1
def pair_terms() in data_measurements/npmi/npmi.py	9	4	1