huggingface / torchMoji 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 109 units with 1,472 lines of code in units (71.3% of code).

0 very complex units (0 lines of code)
1 complex units (50 lines of code)
9 medium complex units (329 lines of code)
24 simple units (532 lines of code)
75 very simple units (561 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 finetune() in torchmoji/finetuning.py	50	27	11
def train_by_chain_thaw() in torchmoji/finetuning.py	35	25	11
def forward() in torchmoji/model_def.py	53	21	2
def class_avg_finetune() in torchmoji/class_avg_finetuning.py	60	20	10
def populate_master_vocab() in torchmoji/create_vocab.py	45	19	4
def split_train_val_test() in torchmoji/sentence_tokenizer.py	30	17	7
def tokenize_sentences() in torchmoji/sentence_tokenizer.py	36	16	4
def load_specific_weights() in torchmoji/model_def.py	34	16	5
def validated_tweet() in torchmoji/word_generator.py	23	14	2
def init_weights() in torchmoji/model_def.py	13	11	1
def fit_model() in torchmoji/finetuning.py	35	10	8
def get_words() in torchmoji/word_generator.py	20	10	2
def mostly_english() in torchmoji/filter_utils.py	22	10	6
def tune_trainable() in torchmoji/finetuning.py	19	9	11
def __init__() in torchmoji/lstm.py	33	9	8
def __setstate__() in torchmoji/lstm.py	19	9	2
def VariableRecurrent() in torchmoji/lstm.py	31	9	2
def freeze_layers() in torchmoji/finetuning.py	7	8	3
def correct_length() in torchmoji/filter_utils.py	14	8	4
def shorten_word() in torchmoji/filter_utils.py	15	8	1
def forward() in torchmoji/lstm.py	38	8	3
def VariableRecurrentReverse() in torchmoji/lstm.py	30	8	2
def class_avg_tune_trainable() in torchmoji/class_avg_finetuning.py	34	8	14
def change_trainable() in torchmoji/finetuning.py	8	7	3
def AutogradRNN() in torchmoji/lstm.py	25	7	10
def StackedRNN() in torchmoji/lstm.py	29	7	5
def __init__() in torchmoji/model_def.py	27	7	8
def all_words_in_sentences() in torchmoji/create_vocab.py	9	6	1
def load_benchmark() in torchmoji/finetuning.py	24	6	3
def find_f1_threshold() in torchmoji/finetuning.py	16	6	4
def convert_unicode_punctuation() in torchmoji/word_generator.py	15	6	2
def __repr__() in torchmoji/lstm.py	14	6	1
def class_avg_chainthaw() in torchmoji/class_avg_finetuning.py	37	6	15
def read_english() in torchmoji/filter_input.py	11	6	2
def count_words_in_sentence() in torchmoji/create_vocab.py	7	5	2
def extend_vocab() in torchmoji/create_vocab.py	16	5	3
def __iter__() in torchmoji/word_generator.py	9	5	1
def __init__() in torchmoji/sentence_tokenizer.py	23	5	7
def to_sentence() in torchmoji/sentence_tokenizer.py	5	5	2
def Recurrent() in torchmoji/lstm.py	12	5	2
def chain_thaw() in torchmoji/finetuning.py	10	4	13
def __init__() in torchmoji/finetuning.py	7	4	3
def extract_valid_sentence_words() in torchmoji/word_generator.py	18	4	2
def forward() in torchmoji/attlayer.py	12	4	3
def detect_special_tokens() in torchmoji/filter_utils.py	10	4	1
def save_vocab() in torchmoji/create_vocab.py	16	3	4
def calculate_batchsize_maxlen() in torchmoji/finetuning.py	7	3	1
def evaluate_using_acc() in torchmoji/finetuning.py	14	3	2
def __init__() in torchmoji/finetuning.py	24	3	6
def data_postprocess_filtering() in torchmoji/word_generator.py	12	3	3