GoogleCloudPlatform / fraudfinder

Duplication

Places in code with 6 or more lines that are exactly the same.

Longest Duplicates

The list of 50 longest duplicates.

See data for all 13,451 duplicates...

Size	#	Folders	Files	Lines	Code
46	x 2	vertex_ai vertex_ai	04_experimentation.ipynb 05_model_training_xgboost_formalizati...	105:150 (4%) 84:129 (4%)	view
36	x 2	vertex_ai vertex_ai	04_experimentation.ipynb 06_formalization.ipynb	83:118 (3%) 83:118 (4%)	view
33	x 2	ROOT vertex_ai	00_environment_setup.ipynb 05_model_training_xgboost_formalizati...	315:347 (5%) 280:312 (3%)	view
31	x 2	ROOT bqml	03_feature_engineering_streaming.ipynb 06_model_deployment.ipynb	1:31 (3%) 1:31 (4%)	view
31	x 2	ROOT ROOT	02_feature_engineering_batch.ipynb 03_feature_engineering_streaming.ipynb	1:31 (2%) 1:31 (3%)	view
31	x 2	ROOT bqml	02_feature_engineering_batch.ipynb 06_model_deployment.ipynb	1:31 (2%) 1:31 (4%)	view
30	x 2	vertex_ai vertex_ai	04_experimentation.ipynb 05_model_training_xgboost_formalizati...	231:260 (3%) 210:239 (2%)	view
29	x 2	ROOT ROOT	02_feature_engineering_batch.ipynb 03_feature_engineering_streaming.ipynb	1443:1471 (1%) 764:792 (3%)	view
29	x 2	ROOT ROOT	00_environment_setup.ipynb 02_feature_engineering_batch.ipynb	572:600 (4%) 1443:1471 (1%)	view
29	x 2	bqml bqml	05_model_training_pipeline_formalizat... 06_model_deployment.ipynb	580:608 (4%) 643:671 (4%)	view
29	x 2	ROOT ROOT	00_environment_setup.ipynb 03_feature_engineering_streaming.ipynb	572:600 (4%) 764:792 (3%)	view
28	x 2	vertex_ai vertex_ai	04_experimentation.ipynb 05_model_training_xgboost_formalizati...	349:376 (2%) 322:349 (2%)	view
27	x 2	ROOT vertex_ai	02_feature_engineering_batch.ipynb 05_model_training_xgboost_formalizati...	1:27 (1%) 1:27 (2%)	view
27	x 2	ROOT vertex_ai	03_feature_engineering_streaming.ipynb 05_model_training_xgboost_formalizati...	1:27 (3%) 1:27 (2%)	view
27	x 2	bqml vertex_ai	06_model_deployment.ipynb 05_model_training_xgboost_formalizati...	1:27 (4%) 1:27 (2%)	view
24	x 2	ROOT vertex_ai	02_feature_engineering_batch.ipynb 06_formalization.ipynb	8:31 (1%) 9:32 (3%)	view
24	x 2	bqml vertex_ai	06_model_deployment.ipynb 06_formalization.ipynb	8:31 (3%) 9:32 (3%)	view
24	x 2	ROOT ROOT	00_environment_setup.ipynb 01_exploratory_data_analysis.ipynb	9:32 (4%) 10:33 (3%)	view
24	x 2	ROOT vertex_ai	03_feature_engineering_streaming.ipynb 06_formalization.ipynb	8:31 (3%) 9:32 (3%)	view
23	x 2	ROOT vertex_ai	02_feature_engineering_batch.ipynb 04_experimentation.ipynb	135:157 (1%) 120:142 (2%)	view
23	x 2	ROOT vertex_ai	01_exploratory_data_analysis.ipynb 06_formalization.ipynb	8:30 (3%) 7:29 (3%)	view
23	x 2	ROOT vertex_ai	02_feature_engineering_batch.ipynb 05_model_training_xgboost_formalizati...	135:157 (1%) 99:121 (2%)	view
23	x 2	bqml vertex_ai	07_model_inference.ipynb 06_formalization.ipynb	7:29 (4%) 6:28 (3%)	view
22	x 2	ROOT ROOT	01_exploratory_data_analysis.ipynb 02_feature_engineering_batch.ipynb	599:620 (3%) 1450:1471 (1%)	view
22	x 2	ROOT ROOT	00_environment_setup.ipynb 01_exploratory_data_analysis.ipynb	579:600 (3%) 599:620 (3%)	view
22	x 2	ROOT bqml	00_environment_setup.ipynb 06_model_deployment.ipynb	8:29 (3%) 7:28 (3%)	view
22	x 2	ROOT bqml	01_exploratory_data_analysis.ipynb 07_model_inference.ipynb	8:29 (3%) 8:29 (4%)	view
22	x 2	ROOT ROOT	01_exploratory_data_analysis.ipynb 03_feature_engineering_streaming.ipynb	599:620 (3%) 771:792 (2%)	view
22	x 2	ROOT ROOT	00_environment_setup.ipynb 03_feature_engineering_streaming.ipynb	8:29 (3%) 7:28 (2%)	view
22	x 2	bqml vertex_ai	06_model_deployment.ipynb 05_model_training_xgboost_formalizati...	650:671 (3%) 1076:1097 (2%)	view
22	x 2	ROOT ROOT	02_feature_engineering_batch.ipynb 02_feature_engineering_batch.ipynb	368:389 (1%) 495:516 (1%)	view
22	x 2	bqml vertex_ai	05_model_training_pipeline_formalizat... 05_model_training_xgboost_formalizati...	587:608 (3%) 1076:1097 (2%)	view
22	x 2	ROOT ROOT	00_environment_setup.ipynb 02_feature_engineering_batch.ipynb	8:29 (3%) 7:28 (1%)	view
21	x 2	ROOT vertex_ai	00_environment_setup.ipynb 06_formalization.ipynb	9:29 (3%) 9:29 (2%)	view
21	x 2	ROOT ROOT	01_exploratory_data_analysis.ipynb 03_feature_engineering_streaming.ipynb	10:30 (3%) 8:28 (2%)	view
21	x 2	ROOT bqml	02_feature_engineering_batch.ipynb 05_model_training_pipeline_formalizat...	8:28 (1%) 8:28 (3%)	view
21	x 2	ROOT bqml	03_feature_engineering_streaming.ipynb 05_model_training_pipeline_formalizat...	8:28 (2%) 8:28 (3%)	view
21	x 2	ROOT bqml	01_exploratory_data_analysis.ipynb 05_model_training_pipeline_formalizat...	10:30 (3%) 8:28 (3%)	view
21	x 2	ROOT vertex_ai	00_environment_setup.ipynb 05_model_training_xgboost_formalizati...	8:28 (3%) 7:27 (1%)	view
21	x 2	ROOT bqml	01_exploratory_data_analysis.ipynb 06_model_deployment.ipynb	10:30 (3%) 8:28 (3%)	view
21	x 2	bqml vertex_ai	05_model_training_pipeline_formalizat... 06_formalization.ipynb	8:28 (3%) 9:29 (2%)	view
21	x 2	bqml bqml	05_model_training_pipeline_formalizat... 06_model_deployment.ipynb	8:28 (3%) 8:28 (3%)	view
21	x 2	ROOT ROOT	01_exploratory_data_analysis.ipynb 02_feature_engineering_batch.ipynb	10:30 (3%) 8:28 (1%)	view
21	x 2	ROOT ROOT	02_feature_engineering_batch.ipynb 03_feature_engineering_streaming.ipynb	47:67 (1%) 47:67 (2%)	view
21	x 2	ROOT bqml	00_environment_setup.ipynb 05_model_training_pipeline_formalizat...	9:29 (3%) 8:28 (3%)	view
21	x 2	ROOT ROOT	00_environment_setup.ipynb 01_exploratory_data_analysis.ipynb	91:111 (3%) 91:111 (3%)	view
20	x 2	vertex_ai vertex_ai	04_experimentation.ipynb 06_formalization.ipynb	12:31 (2%) 13:32 (2%)	view
20	x 2	ROOT bqml	02_feature_engineering_batch.ipynb 07_model_inference.ipynb	8:27 (1%) 10:29 (3%)	view
20	x 2	vertex_ai vertex_ai	05_model_training_xgboost_formalizati... 06_formalization.ipynb	8:27 (1%) 9:28 (2%)	view
20	x 2	bqml vertex_ai	07_model_inference.ipynb 05_model_training_xgboost_formalizati...	10:29 (3%) 8:27 (1%)	view