openai / whisper - 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 145 units with 1,719 lines of code in units (43.6% of code).

1 very complex units (201 lines of code)
0 complex units (0 lines of code)
8 medium complex units (477 lines of code)
18 simple units (350 lines of code)
118 very simple units (691 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 process_words() in whisper/normalizers/english.py	201	91	2
def cli() in whisper/transcribe.py	87	20	0
def iterate_subtitles() in whisper/utils.py	48	20	0
def apply() in whisper/decoding.py	41	17	3
def run() in whisper/decoding.py	60	17	2
def __init__() in whisper/normalizers/english.py	136	15	1
def decode_with_fallback() in whisper/transcribe.py	35	14	1
def __init__() in whisper/decoding.py	45	12	3
def median_filter() in whisper/timing.py	25	11	2
def _download() in whisper/__init__.py	35	10	3
def non_speech_tokens() in whisper/tokenizer.py	16	10	1
def finalize() in whisper/decoding.py	19	10	3
def _verify_options() in whisper/decoding.py	13	9	2
def _get_suppress_tokens() in whisper/decoding.py	23	9	1
def _main_loop() in whisper/decoding.py	21	9	3
def pad_or_trim() in whisper/audio.py	18	8	4
def get_encoding() in whisper/tokenizer.py	30	7	2
def is_segment_anomaly() in whisper/transcribe.py	7	7	1
def dtw_cpu() in whisper/timing.py	19	7	1
def merge_punctuations() in whisper/timing.py	27	7	3
def install_kv_cache_hooks() in whisper/model.py	15	7	2
def split_tokens_on_spaces() in whisper/tokenizer.py	15	6	2
def rank() in whisper/decoding.py	12	6	3
def _get_initial_tokens() in whisper/decoding.py	24	6	1
def preprocess() in whisper/normalizers/english.py	20	6	2
def remove_symbols_and_diacritics() in whisper/normalizers/basic.py	17	6	2
def backtrace() in whisper/timing.py	19	6	1
def __post_init__() in whisper/tokenizer.py	15	5	1
def _get_audio_features() in whisper/decoding.py	17	5	2
def _detect_language() in whisper/decoding.py	11	5	3
def load_audio() in whisper/audio.py	17	4	2
def split_tokens_on_unicode() in whisper/tokenizer.py	20	4	2
def logits() in whisper/decoding.py	6	4	3
def median_kernel() in whisper/triton_ops.py	46	4	1
def postprocess() in whisper/normalizers/english.py	18	4	2
def word_anomaly_score() in whisper/transcribe.py	11	4	1
def get_start() in whisper/utils.py	5	4	1
def get_end() in whisper/utils.py	5	4	1
def decode() in whisper/tokenizer.py	3	3	3
def all_language_tokens() in whisper/tokenizer.py	6	3	1
def __init__() in whisper/decoding.py	8	3	3
def rearrange_kv_cache() in whisper/decoding.py	4	3	2
def __call__() in whisper/normalizers/english.py	5	3	2
def remove_symbols() in whisper/normalizers/basic.py	5	3	1
def next_words_segment() in whisper/transcribe.py	2	3	1
def dtw() in whisper/timing.py	10	3	1
def __init__() in whisper/model.py	13	3	4
def forward() in whisper/model.py	14	3	4
def language_token() in whisper/tokenizer.py	4	2	1
def to_language_token() in whisper/tokenizer.py	4	2	2