openai / lm-human-preferences - 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 223 units with 2,384 lines of code in units (85.1% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
3 medium complex units (150 lines of code)
21 simple units (648 lines of code)
199 very simple units (1,586 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 override_from_dict() in lm_human_preferences/utils/hyperparams.py	36	16	3
def train() in lm_human_preferences/train_policy.py	81	14	1
def _parse_typed_value() in lm_human_preferences/utils/hyperparams.py	33	14	2
def __init__() in lm_human_preferences/train_policy.py	109	10	8
def bpe() in lm_human_preferences/language/encodings.py	37	10	2
def get_art_abs() in lm_human_preferences/datasets/cnndm.py	17	9	1
def _can_distinguish_unambiguously() in lm_human_preferences/utils/hyperparams.py	12	9	1
def launch_trials() in lm_human_preferences/utils/launch.py	26	9	9
def init_op() in lm_human_preferences/language/trained_models.py	23	9	3
def __init__() in lm_human_preferences/train_reward.py	85	9	7
def __call__() in lm_human_preferences/language/model.py	69	8	9
def sample_sequence() in lm_human_preferences/language/sample.py	59	8	11
def _set_initializers() in lm_human_preferences/rewards.py	20	8	1
def _type_map() in lm_human_preferences/utils/hyperparams.py	15	7	2
def map_flat_bits() in lm_human_preferences/utils/core.py	11	7	2
def cnndm_generator() in lm_human_preferences/datasets/cnndm.py	17	6	4
def exponential_backoff() in lm_human_preferences/utils/gcs.py	21	6	8
def add() in lm_human_preferences/utils/core.py	23	6	2
def map_flat() in lm_human_preferences/utils/core.py	9	6	2
def record_stats() in lm_human_preferences/utils/core.py	12	6	7
def get_encoder() in lm_human_preferences/language/encodings.py	20	6	1
def _generator() in lm_human_preferences/language/datasets.py	22	6	0
def download_labels() in lm_human_preferences/train_reward.py	17	6	5
def train() in lm_human_preferences/train_reward.py	24	6	1
def get_path_of_url() in lm_human_preferences/datasets/cnndm.py	8	5	1
def download_directory_cached() in lm_human_preferences/utils/gcs.py	17	5	2
def download_file_cached() in lm_human_preferences/utils/gcs.py	17	5	2
def where() in lm_human_preferences/utils/core.py	15	5	4
def map_flat_chunked() in lm_human_preferences/utils/core.py	8	5	4
def parallel() in lm_human_preferences/utils/launch.py	10	5	2
def __init__() in lm_human_preferences/language/encodings.py	12	5	5
def dropout() in lm_human_preferences/language/model.py	16	5	7
def attn() in lm_human_preferences/language/model.py	47	5	10
def train() in lm_human_preferences/train_reward.py	58	5	1
def print_samples() in lm_human_preferences/train_policy.py	13	4	6
def loss() in lm_human_preferences/train_policy.py	45	4	2
def books_generator() in lm_human_preferences/datasets/books.py	10	4	4
def fix_missing_period() in lm_human_preferences/datasets/cnndm.py	8	4	1
def override_from_nested_dict() in lm_human_preferences/utils/hyperparams.py	9	4	2
def _get_field() in lm_human_preferences/utils/hyperparams.py	5	4	2
def combos() in lm_human_preferences/utils/combos.py	5	4	1
def foreach() in lm_human_preferences/utils/combos.py	2	4	2
def bind_nested() in lm_human_preferences/utils/combos.py	5	4	2
def flatten_dict() in lm_human_preferences/utils/core.py	12	4	2
def chunk_tensors() in lm_human_preferences/utils/core.py	11	4	3
def variable_synchronizer() in lm_human_preferences/utils/core.py	13	4	4
def from_dict() in lm_human_preferences/utils/core.py	7	4	1
def graph_function() in lm_human_preferences/utils/core.py	24	4	1
def bytes_to_unicode() in lm_human_preferences/language/encodings.py	11	4	0
def encode() in lm_human_preferences/language/encodings.py	6	4	2