epam / AIRUN-Evaluation-FrameworkConditional 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 41 units with 293 lines of code in units (17.7% 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)
5 simple units (116 lines of code)
36 very simple units (177 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 41 most complex units

Unit	# lines	McCabe index	# params
def validate_report_path() in evaluate.py	14	9	1
def _parse_evaluation_steps() in src/epam/auto_llm_eval/evaluation_report.py	19	9	2
def validate_data_path() in evaluate.py	9	8	1
def main() in evaluate.py	63	7	0
def get_weighted_score() in src/epam/auto_llm_eval/evaluation_report.py	11	6	1
def _parse_summary_section() in src/epam/auto_llm_eval/evaluation_report.py	9	5	2
def set_probabilities() in src/epam/auto_llm_eval/evaluator.py	14	5	2
def _parse_summary() in src/epam/auto_llm_eval/evaluation_report.py	7	4	2
def get_gpt4_model() in evaluate.py	15	3	0
def __init__() in src/epam/auto_llm_eval/evaluation_report.py	11	3	3
def get_o1_mini_model() in evaluate.py	10	2	0
def parse_scenarios_ranges() in evaluate.py	6	2	1
def _split_report_sections() in src/epam/auto_llm_eval/evaluation_report.py	7	2	2
def get_weighted_score() in src/epam/auto_llm_eval/evaluator.py	6	2	1
def to_data_frame() in src/epam/auto_llm_eval/evaluator.py	16	2	2
def write_file() in src/epam/auto_llm_eval/evaluator.py	9	2	2
def get_scenario_file() in src/epam/auto_llm_eval/evaluator.py	5	2	3
def save_grading_report() in evaluate.py	3	1	2
def is_valid_scenario() in evaluate.py	4	1	0
def from_text() in src/epam/auto_llm_eval/evaluation_report.py	2	1	0
def _find_matching_step() in src/epam/auto_llm_eval/evaluation_report.py	2	1	0
def _enrich_with_weights() in src/epam/auto_llm_eval/evaluation_report.py	2	1	0
def _parse_report() in src/epam/auto_llm_eval/evaluation_report.py	4	1	2
def get_text() in src/epam/auto_llm_eval/evaluation_report.py	2	1	1
def get_total_steps() in src/epam/auto_llm_eval/evaluation_report.py	2	1	1
def get_passed_steps() in src/epam/auto_llm_eval/evaluation_report.py	2	1	1
def get_failed_steps() in src/epam/auto_llm_eval/evaluation_report.py	2	1	1
def get_pass_rate() in src/epam/auto_llm_eval/evaluation_report.py	2	1	1
def get_steps() in src/epam/auto_llm_eval/evaluation_report.py	2	1	1
def sum_integers() in src/epam/auto_llm_eval/evaluator.py	2	1	2
def sum_integers() in src/epam/auto_llm_eval/evaluator.py	1	1	2
def sum_integers() in src/epam/auto_llm_eval/evaluator.py	1	1	2
def __init__() in src/epam/auto_llm_eval/evaluator.py	3	1	1
def get_probabilities() in src/epam/auto_llm_eval/evaluator.py	2	1	1
def get_score() in src/epam/auto_llm_eval/evaluator.py	3	1	1
def is_confident() in src/epam/auto_llm_eval/evaluator.py	3	1	2
def set_metadata() in src/epam/auto_llm_eval/evaluator.py	2	1	3
def read_file() in src/epam/auto_llm_eval/evaluator.py	4	1	1
def evaluate_metric() in src/epam/auto_llm_eval/evaluator.py	4	1	0
def grade_metric() in src/epam/auto_llm_eval/evaluator.py	3	1	0
def evaluate_scenario() in src/epam/auto_llm_eval/evaluator.py	5	1	0