GoogleCloudPlatform / google-cloud-ai-demos

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 220 units with 1,341 lines of code in units (22.1% 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)
3 simple units (162 lines of code)
217 very simple units (1,179 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
export default() in frontend-vite/src/common/components/Alert.tsx	36	8	5
async function getResponse() in frontend/public/mockServiceWorker.js	48	7	3
def register_services() in backend/matching-engine/register_services.py	78	7	0
export default() in frontend/src/common/components/EvaluationDataGrid.tsx	32	5	1
def get_suggestions() in backend/matching-engine/services/multimodal_text_to_image_match_service.py	19	5	2
def _evaluate() in backend/time-series-forecasting/training_methods/automl_training_method.py	32	5	2
def search() in backend/unified-cloud-search/services/unified_cloud_search_service.py	36	5	3
async function handleRequest() in frontend/public/mockServiceWorker.js	24	4	2
def get_by_ids() in backend/matching-engine/services/sentence_transformer_service.py	3	4	2
def load_image_bytes() in backend/matching-engine/services/multimodal_embedding_client.py	8	4	1
def get_access_token() in backend/matching-engine/services/multimodal_text_to_image_match_service.py	8	4	0
def extract_bucket_and_prefix_from_gcs_path() in backend/matching-engine/storage_helper.py	9	4	1
def get_dataset() in backend/time-series-forecasting/services/dataset_service.py	11	4	1
def register_services() in backend/unified-cloud-search/register_services.py	22	4	0
function sendToClient() in frontend/public/mockServiceWorker.js	12	3	2
def get_by_id() in backend/matching-engine/services/palm_text_match_service.py	6	3	2
def get_by_id() in backend/matching-engine/services/multimodal_text_to_image_match_service.py	6	3	2
def get_evaluation() in backend/time-series-forecasting/services/forecast_job_coordinator.py	6	3	2
def get_prediction() in backend/time-series-forecasting/services/forecast_job_coordinator.py	6	3	2
def get_forecast_job() in backend/time-series-forecasting/main.py	13	3	1
def jobs() in backend/time-series-forecasting/main.py	13	3	0
def download_bq_table() in backend/time-series-forecasting/utils.py	8	3	1
Image classification is a supervised learning problem: define a set of target classes() in frontend-vite/src/DemoInfo.tsx	12	2	1
async function resolveMainClient() in frontend/public/mockServiceWorker.js	16	2	1
export default() in frontend/src/common/components/prediction-plots/PlotlyPredictionPlot.tsx	92	2	2
export default() in frontend/src/common/components/prediction-plots/RechartsPredictionPlot.tsx	37	2	3
Image classification is a supervised learning problem: define a set of target classes() in frontend/src/DemoInfo.tsx	12	2	1
def get_suggestions() in backend/matching-engine/services/text_to_image_match_service.py	5	2	2
def convert_text_to_embeddings() in backend/matching-engine/services/text_to_image_match_service.py	8	2	2
def get_suggestions() in backend/matching-engine/services/sentence_transformer_service.py	5	2	2
def get_by_id() in backend/matching-engine/services/sentence_transformer_service.py	3	2	2
def convert_text_to_embeddings() in backend/matching-engine/services/sentence_transformer_service.py	6	2	2
def get_suggestions() in backend/matching-engine/services/palm_text_match_service.py	5	2	2
def encode_texts_to_embeddings() in backend/matching-engine/services/palm_text_match_service.py	3	2	2
def match_by_text() in backend/matching-engine/services/match_service.py	8	2	3
def get_total_index_count() in backend/matching-engine/services/match_service.py	9	2	1
def encode_image_to_embeddings() in backend/matching-engine/services/multimodal_text_to_image_match_service.py	7	2	2
def encode_text_to_embeddings() in backend/matching-engine/services/multimodal_text_to_image_match_service.py	5	2	2
def get_suggestions() in backend/matching-engine/services/spacy_match_service.py	5	2	2
def convert_text_to_embeddings() in backend/matching-engine/services/spacy_match_service.py	6	2	2
def instance() in backend/matching-engine/tracer_helper.py	4	2	1
def upload_blob() in backend/matching-engine/storage_helper.py	10	2	3
def _append_completed_result() in backend/time-series-forecasting/services/forecast_job_coordinator.py	8	2	2
def date_cutoff() in backend/time-series-forecasting/models/dataset.py	7	2	1
def evaluate() in backend/time-series-forecasting/training_methods/bqml_training_method.py	4	2	2
def get_dataset() in backend/time-series-forecasting/main.py	8	2	1
def preview_dataset() in backend/time-series-forecasting/main.py	8	2	1
def get_suggestions() in backend/unified-cloud-search/services/unified_cloud_search_service.py	5	2	2
export default() in frontend-vite/src/App.tsx	7	1	0
export default defineConfig() in frontend-vite/vite.config.ts	15	1	1