CasualML
Metrics

Intro
  • Metrics are all numeric values measured by Sokrates.
  • You can use these metrics to define goals and controls.
Metrics
Metric Value
TOTAL_NUMBER_OF_FILES 105
NUMBER_OF_FILES_MAIN 40
LINES_OF_CODE_MAIN 5,393
NUMBER_OF_FILES_MAIN_EXT_PY 40
LINES_OF_CODE_MAIN_EXT_PY 5,393
NUMBER_OF_FILES_TEST 12
LINES_OF_CODE_TEST 845
NUMBER_OF_FILES_TEST_EXT_PY 12
LINES_OF_CODE_TEST_EXT_PY 845
TEST_VS_MAIN_LINES_OF_CODE_PERCENTAGE 15.66
NUMBER_OF_FILES_GENERATED 0
LINES_OF_CODE_GENERATED 0
NUMBER_OF_FILES_BUILD_AND_DEPLOYMENT 0
LINES_OF_CODE_BUILD_AND_DEPLOYMENT 0
NUMBER_OF_FILES_OTHER 0
LINES_OF_CODE_OTHER 0
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_ROOT 1
LINES_OF_CODE_DECOMPOSITION_PRIMARY_ROOT 50
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_ROOT_EXT_PY 1
LINES_OF_CODE_DECOMPOSITION_PRIMARY_ROOT_EXT_PY 50
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_METRICS 6
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_METRICS 719
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_METRICS_EXT_PY 6
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_METRICS_EXT_PY 719
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_OPTIMIZE 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_OPTIMIZE 409
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_OPTIMIZE_EXT_PY 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_OPTIMIZE_EXT_PY 409
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML 4
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML 433
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_EXT_PY 4
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_EXT_PY 433
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_DATASET 4
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_DATASET 567
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_DATASET_EXT_PY 4
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_DATASET_EXT_PY 567
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_FEATURE_SELECTION 2
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_FEATURE_SELECTION 199
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_FEATURE_SELECTION_EXT_PY 2
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_FEATURE_SELECTION_EXT_PY 199
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_INFERENCE 18
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_INFERENCE 3,016
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CAUSALML_INFERENCE_EXT_PY 18
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CAUSALML_INFERENCE_EXT_PY 3,016
NUMBER_OF_DEPENDENCY_LINKS_DECOMPOSITION_PRIMARY 0
NUMBER_OF_DEPENDENCIES_DECOMPOSITION_PRIMARY 0
NUMBER_OF_PLACES_WITH_CYCLIC_DEPENDENCIES_DECOMPOSITION_PRIMARY 0
NUMBER_OF_FILES_FILE_SIZE_0_200 9
NUMBER_OF_FILES_FILE_SIZE_201_500 8
NUMBER_OF_FILES_FILE_SIZE_501_1000 1
NUMBER_OF_FILES_FILE_SIZE_1001_PLUS 0
LINES_OF_CODE_FILE_SIZE_FILES_0_200 9
LINES_OF_CODE_FILE_SIZE_201_500 8
LINES_OF_CODE_FILE_SIZE_501_1000 1
LINES_OF_CODE_FILE_SIZE_1001_PLUS 0
FILE_CHANGE_HISTORY_TOTAL_AGE_DAYS 431
FILE_CHANGE_HISTORY_ACTIVE_DAYS 103
FILE_CHANGE_HISTORY_WEEKS 61
FILE_CHANGE_HISTORY_ESTIMATED_WORKING_DAYS 305
AGE_OF_FILES_IN_DAYS_0_30 14
AGE_OF_FILES_IN_DAYS_31_90 2
AGE_OF_FILES_IN_DAYS_91_180 21
AGE_OF_FILES_IN_DAYS_181_PLUS 2
LINES_OF_CODE_IN_FILES_AGE_0_30 14
LINES_OF_CODE_AGE_31_90 2
LINES_OF_CODE_AGE_91_180 21
LINES_OF_CODE_AGE_181_PLUS 2
NUMBER_OF_CONTRIBUTORS 23
NUMBER_OF_UNITS 285
LINES_OF_CODE_IN_UNITS 4,927
LINES_OF_CODE_OUTSIDE_UNITS 466
UNIT_SIZE_DISTRIBUTION_1_20_LOC 869
UNIT_SIZE_DISTRIBUTION_1_20_PERCENTAGE 17.64
UNIT_SIZE_DISTRIBUTION_1_20_COUNT 60
UNIT_SIZE_DISTRIBUTION_21_50_LOC 2,337
UNIT_SIZE_DISTRIBUTION_21_50_PERCENTAGE 47.43
UNIT_SIZE_DISTRIBUTION_21_50_COUNT 73
UNIT_SIZE_DISTRIBUTION_51_100_LOC 512
UNIT_SIZE_DISTRIBUTION_51_100_PERCENTAGE 10.39
UNIT_SIZE_DISTRIBUTION_51_100_COUNT 7
UNIT_SIZE_DISTRIBUTION_101_PLUS_LOC 410
UNIT_SIZE_DISTRIBUTION_101_PLUS_PERCENTAGE 8.32
UNIT_SIZE_DISTRIBUTION_101_PLUS_COUNT 3
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_1_20_LOC 147
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_1_20_PERCENTAGE 21.78
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_1_20_COUNT 11
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_21_50_LOC 379
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_21_50_PERCENTAGE 56.15
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_21_50_COUNT 11
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_51_100_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_51_100_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_51_100_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_101_PLUS_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_101_PLUS_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_METRICS_101_PLUS_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_1_20_LOC 86
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_1_20_PERCENTAGE 26.46
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_1_20_COUNT 6
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_21_50_LOC 72
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_21_50_PERCENTAGE 22.15
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_21_50_COUNT 2
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_51_100_LOC 72
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_51_100_PERCENTAGE 22.15
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_51_100_COUNT 1
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_101_PLUS_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_101_PLUS_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_OPTIMIZE_101_PLUS_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_1_20_LOC 104
UNIT_SIZE_COMPONENT_CAUSALML_1_20_PERCENTAGE 30.06
UNIT_SIZE_COMPONENT_CAUSALML_1_20_COUNT 7
UNIT_SIZE_COMPONENT_CAUSALML_21_50_LOC 128
UNIT_SIZE_COMPONENT_CAUSALML_21_50_PERCENTAGE 36.99
UNIT_SIZE_COMPONENT_CAUSALML_21_50_COUNT 4
UNIT_SIZE_COMPONENT_CAUSALML_51_100_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_51_100_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_51_100_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_101_PLUS_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_101_PLUS_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_101_PLUS_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_1_20_LOC 44
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_1_20_PERCENTAGE 8.4
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_1_20_COUNT 3
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_21_50_LOC 374
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_21_50_PERCENTAGE 71.37
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_21_50_COUNT 13
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_51_100_LOC 100
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_51_100_PERCENTAGE 19.08
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_51_100_COUNT 1
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_101_PLUS_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_101_PLUS_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_DATASET_101_PLUS_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_1_20_LOC 61
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_1_20_PERCENTAGE 31.61
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_1_20_COUNT 4
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_21_50_LOC 85
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_21_50_PERCENTAGE 44.04
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_21_50_COUNT 3
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_51_100_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_51_100_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_51_100_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_101_PLUS_LOC 0
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_101_PLUS_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CAUSALML_FEATURE_SELECTION_101_PLUS_COUNT 0
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_1_20_LOC 427
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_1_20_PERCENTAGE 14.91
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_1_20_COUNT 29
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_21_50_LOC 1,299
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_21_50_PERCENTAGE 45.36
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_21_50_COUNT 40
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_51_100_LOC 340
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_51_100_PERCENTAGE 11.87
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_51_100_COUNT 5
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_101_PLUS_LOC 410
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_101_PLUS_PERCENTAGE 14.32
UNIT_SIZE_COMPONENT_CAUSALML_INFERENCE_101_PLUS_COUNT 3
UNIT_SIZE_EXTENSION_PY_1_20_LOC 869
UNIT_SIZE_EXTENSION_PY_1_20_PERCENTAGE 17.64
UNIT_SIZE_EXTENSION_PY_1_20_COUNT 60
UNIT_SIZE_EXTENSION_PY_21_50_LOC 2,337
UNIT_SIZE_EXTENSION_PY_21_50_PERCENTAGE 47.43
UNIT_SIZE_EXTENSION_PY_21_50_COUNT 73
UNIT_SIZE_EXTENSION_PY_51_100_LOC 512
UNIT_SIZE_EXTENSION_PY_51_100_PERCENTAGE 10.39
UNIT_SIZE_EXTENSION_PY_51_100_COUNT 7
UNIT_SIZE_EXTENSION_PY_101_PLUS_LOC 410
UNIT_SIZE_EXTENSION_PY_101_PLUS_PERCENTAGE 8.32
UNIT_SIZE_EXTENSION_PY_101_PLUS_COUNT 3
CONDITIONAL_COMPLEXITY_DISTRIBUTION_1_5_LOC 1,014
CONDITIONAL_COMPLEXITY_DISTRIBUTION_1_5_PERCENTAGE 20.58
CONDITIONAL_COMPLEXITY_DISTRIBUTION_1_5_COUNT 32
CONDITIONAL_COMPLEXITY_DISTRIBUTION_6_10_LOC 897
CONDITIONAL_COMPLEXITY_DISTRIBUTION_6_10_PERCENTAGE 18.21
CONDITIONAL_COMPLEXITY_DISTRIBUTION_6_10_COUNT 16
CONDITIONAL_COMPLEXITY_DISTRIBUTION_10_25_LOC 364
CONDITIONAL_COMPLEXITY_DISTRIBUTION_10_25_PERCENTAGE 7.39
CONDITIONAL_COMPLEXITY_DISTRIBUTION_10_25_COUNT 3
CONDITIONAL_COMPLEXITY_DISTRIBUTION_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_DISTRIBUTION_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_DISTRIBUTION_26_PLUS_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_1_5_LOC 159
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_1_5_PERCENTAGE 23.56
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_1_5_COUNT 5
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_6_10_LOC 138
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_6_10_PERCENTAGE 20.44
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_6_10_COUNT 3
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_10_25_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_10_25_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_10_25_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_METRICS_26_PLUS_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_1_5_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_1_5_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_1_5_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_6_10_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_6_10_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_6_10_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_10_25_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_10_25_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_10_25_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_OPTIMIZE_26_PLUS_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_1_5_LOC 61
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_1_5_PERCENTAGE 17.63
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_1_5_COUNT 2
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_6_10_LOC 55
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_6_10_PERCENTAGE 15.9
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_6_10_COUNT 2
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_10_25_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_10_25_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_10_25_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_26_PLUS_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_1_5_LOC 120
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_1_5_PERCENTAGE 22.9
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_1_5_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_6_10_LOC 100
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_6_10_PERCENTAGE 19.08
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_6_10_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_10_25_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_10_25_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_10_25_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_DATASET_26_PLUS_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_1_5_LOC 55
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_1_5_PERCENTAGE 28.5
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_1_5_COUNT 2
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_6_10_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_6_10_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_6_10_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_10_25_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_10_25_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_10_25_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_FEATURE_SELECTION_26_PLUS_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_1_5_LOC 619
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_1_5_PERCENTAGE 21.61
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_1_5_COUNT 19
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_6_10_LOC 604
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_6_10_PERCENTAGE 21.09
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_6_10_COUNT 10
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_10_25_LOC 364
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_10_25_PERCENTAGE 12.71
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_10_25_COUNT 3
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CAUSALML_INFERENCE_26_PLUS_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PY_1_5_LOC 1,014
CONDITIONAL_COMPLEXITY_COMPONENT_PY_1_5_PERCENTAGE 20.58
CONDITIONAL_COMPLEXITY_COMPONENT_PY_1_5_COUNT 32
CONDITIONAL_COMPLEXITY_COMPONENT_PY_6_10_LOC 897
CONDITIONAL_COMPLEXITY_COMPONENT_PY_6_10_PERCENTAGE 18.21
CONDITIONAL_COMPLEXITY_COMPONENT_PY_6_10_COUNT 16
CONDITIONAL_COMPLEXITY_COMPONENT_PY_10_25_LOC 364
CONDITIONAL_COMPLEXITY_COMPONENT_PY_10_25_PERCENTAGE 7.39
CONDITIONAL_COMPLEXITY_COMPONENT_PY_10_25_COUNT 3
CONDITIONAL_COMPLEXITY_COMPONENT_PY_26_PLUS_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PY_26_PLUS_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PY_26_PLUS_COUNT 0
DUPLICATION_NUMBER_OF_DUPLICATES 59
DUPLICATION_NUMBER_OF_FILES_WITH_DUPLICATES 13
DUPLICATION_NUMBER_OF_DUPLICATED_LINES 1,323
DUPLICATION_NUMBER_OF_CLEANED_LINES 5,175
DUPLICATION_PERCENTAGE 25.57
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CAUSALML_INFERENCE 1,108
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CAUSALML_INFERENCE 1,108
DUPLICATION_PERCENTAGE_PRIMARY_CAUSALML_INFERENCE 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CAUSALML_METRICS 122
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CAUSALML_METRICS 122
DUPLICATION_PERCENTAGE_PRIMARY_CAUSALML_METRICS 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CAUSALML_DATASET 63
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CAUSALML_DATASET 63
DUPLICATION_PERCENTAGE_PRIMARY_CAUSALML_DATASET 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CAUSALML 12
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CAUSALML 12
DUPLICATION_PERCENTAGE_PRIMARY_CAUSALML 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CAUSALML_FEATURE_SELECTION 18
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CAUSALML_FEATURE_SELECTION 18
DUPLICATION_PERCENTAGE_PRIMARY_CAUSALML_FEATURE_SELECTION 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_ROOT 0
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_ROOT 0
DUPLICATION_PERCENTAGE_PRIMARY_ROOT -
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CAUSALML_OPTIMIZE 0
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CAUSALML_OPTIMIZE 0
DUPLICATION_PERCENTAGE_PRIMARY_CAUSALML_OPTIMIZE -
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PY 1,323
DUPLICATION_NUMBER_OF_CLEANED_LINES_PY 5,175
DUPLICATION_PERCENTAGE_PY 25.57
TOTAL_ANALYSIS_TIME_IN_MILLIS 1,157