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.

Unit Size Overall

Legend:

101+

51-100

21-50

11-20

1-10

Unit Size per Extension

101+

51-100

21-50

11-20

1-10

Unit Size per Logical Component

primary logical decomposition

101+

51-100

21-50

11-20

1-10

Alternative Visuals

Longest Units

Top 20 longest units

Unit	# lines	McCabe index	# params
def main() in run.py	210	67	0
def evaluate_dataset() in datasets.py	115	10	6
def parse_output_sentence() in output_formats.py	93	42	3
def read_file() in preprocess_multiwoz/extract_examples.py	90	51	11
def load_data_single_split() in datasets.py	64	17	3
def evaluate_dataset() in datasets.py	61	5	6
def load_data_single_split() in datasets.py	60	24	3
def evaluate_dataset() in datasets.py	60	5	6
def evaluate_example() in datasets.py	58	23	5
def evaluate_example() in datasets.py	55	10	6
def run_inference() in output_formats.py	52	20	7
def load_data_single_split() in datasets.py	51	8	3
def evaluate_example() in datasets.py	50	17	5
def load_data_single_split() in datasets.py	47	7	3
def load_data_single_split() in datasets.py	44	21	3
def load_data_by_relation_type() in datasets.py	38	5	2
def load_data_single_split() in datasets.py	37	5	3
def compute_features() in datasets.py	36	4	4
def load_data_single_split() in datasets.py	35	10	3
def evaluate_dataset() in datasets.py	33	2	6