aws / fmeval - 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 315 units with 2,271 lines of code in units (38.8% of code).

0 very complex units (0 lines of code)
0 complex units (0 lines of code)
0 medium complex units (0 lines of code)
17 simple units (356 lines of code)
298 very simple units (1,915 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 __init__() in src/fmeval/reporting/eval_output_cells.py	46	9	4
def _validate_jmespath_result() in src/fmeval/data_loaders/json_parser.py	49	9	4
def create_content_composer() in src/fmeval/model_runners/composers/__init__.py	23	9	3
def to_dict() in src/fmeval/eval_algorithms/util.py	11	7	1
def from_row() in src/fmeval/eval_algorithms/util.py	18	7	5
def __post_init__() in src/fmeval/eval_algorithms/__init__.py	11	7	1
def __eq__() in src/fmeval/eval_algorithms/__init__.py	21	7	2
def perturb() in src/fmeval/transforms/semantic_perturbations.py	20	7	2
def perturb() in src/fmeval/transforms/semantic_perturbations.py	15	7	2
def get_user_agent_extra() in src/fmeval/model_runners/util.py	7	7	0
def get_dataset_configs() in src/fmeval/eval_algorithms/util.py	9	6	3
def normalize_text_quac_protocol() in src/fmeval/eval_algorithms/util.py	4	6	1
def convert_model_output_to_label() in src/fmeval/eval_algorithms/classification_accuracy.py	6	6	2
def get_perturbation_transform() in src/fmeval/eval_algorithms/semantic_robustness_utils.py	32	6	1
def __init__() in src/fmeval/reporting/eval_output_cells.py	34	6	6
def get_dataset() in src/fmeval/data_loaders/util.py	20	6	2
def __init__() in src/fmeval/transforms/transform_pipeline.py	30	6	2
def __post_init__() in src/fmeval/eval_algorithms/factual_knowledge.py	17	5	1
def whitespace() in src/fmeval/eval_algorithms/semantic_perturbation_utils.py	7	5	4
def truncate_samples() in src/fmeval/reporting/eval_output_cells.py	10	5	1
def _get_data_loader_config() in src/fmeval/data_loaders/util.py	29	5	2
def _read_stream() in src/fmeval/data_loaders/json_data_loader.py	23	5	3
def __call__() in src/fmeval/transforms/summarization_accuracy_metrics.py	10	5	3
def __call__() in src/fmeval/transforms/common.py	12	5	3
def predict() in src/fmeval/model_runners/bedrock_model_runner.py	25	5	2
def predict() in src/fmeval/model_runners/sm_model_runner.py	25	5	2
def save() in src/fmeval/eval_algorithms/save_strategy.py	14	4	2
def __post_init__() in src/fmeval/eval_algorithms/classification_accuracy.py	6	4	1
def __eq__() in src/fmeval/eval_algorithms/__init__.py	12	4	2
def __post_init__() in src/fmeval/eval_algorithms/classification_accuracy_semantic_robustness.py	7	4	1
def __init__() in src/fmeval/reporting/cells.py	6	4	3
def _create_table_row() in src/fmeval/reporting/cells.py	8	4	3
def get_s3_client() in src/fmeval/data_loaders/data_sources.py	16	4	1
def register_input_output_keys() in src/fmeval/transforms/transform.py	17	4	4
def perturb() in src/fmeval/transforms/semantic_perturbations.py	10	4	2
def execute() in src/fmeval/transforms/transform_pipeline.py	18	4	2
def __init__() in src/fmeval/transforms/semantic_robustness_metrics.py	9	4	4
def compose() in src/fmeval/model_runners/composers/jumpstart_composer.py	17	4	2
def extract_log_probability() in src/fmeval/model_runners/extractors/json_extractor.py	17	4	4
def extract_log_probability() in src/fmeval/model_runners/extractors/jumpstart_extractor.py	19	4	4
def extract_output() in src/fmeval/model_runners/extractors/jumpstart_extractor.py	12	4	4
def extract_embedding() in src/fmeval/model_runners/extractors/jumpstart_extractor.py	10	4	4
def project_root() in src/fmeval/util.py	10	3	1
def get_num_actors() in src/fmeval/util.py	8	3	0
def __call__() in src/fmeval/eval_algorithms/util.py	7	3	3
def save() in src/fmeval/eval_algorithms/save_strategy.py	6	3	2
def _get_score() in src/fmeval/eval_algorithms/classification_accuracy.py	4	3	5
def _normalize_and_strip_text() in src/fmeval/eval_algorithms/qa_accuracy.py	6	3	4
def random_upper() in src/fmeval/eval_algorithms/semantic_perturbation_utils.py	8	3	2
def evaluate_sample() in src/fmeval/eval_algorithms/summarization_accuracy.py	12	3	3