microsoft / AzureML-BERT
Metrics

All numeric values measured by Sokrates.

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 46
NUMBER_OF_FILES_MAIN 24
LINES_OF_CODE_MAIN 4,367
NUMBER_OF_FILES_MAIN_EXT_PY 24
LINES_OF_CODE_MAIN_EXT_PY 4,367
NUMBER_OF_FILES_TEST 0
LINES_OF_CODE_TEST 0
TEST_VS_MAIN_LINES_OF_CODE_PERCENTAGE 0
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 10
LINES_OF_CODE_OTHER 1,945
NUMBER_OF_FILES_OTHER_EXT_IPYNB 4
LINES_OF_CODE_OTHER_EXT_IPYNB 1,712
NUMBER_OF_FILES_OTHER_EXT_JSON 4
LINES_OF_CODE_OTHER_EXT_JSON 140
NUMBER_OF_FILES_OTHER_EXT_MD 2
LINES_OF_CODE_OTHER_EXT_MD 93
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_FINETUNE_PYTORCH 2
LINES_OF_CODE_DECOMPOSITION_PRIMARY_FINETUNE_PYTORCH 553
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_FINETUNE_PYTORCH_EXT_PY 2
LINES_OF_CODE_DECOMPOSITION_PRIMARY_FINETUNE_PYTORCH_EXT_PY 553
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_FINETUNE_TENSORFLOW 2
LINES_OF_CODE_DECOMPOSITION_PRIMARY_FINETUNE_TENSORFLOW 689
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_FINETUNE_TENSORFLOW_EXT_PY 2
LINES_OF_CODE_DECOMPOSITION_PRIMARY_FINETUNE_TENSORFLOW_EXT_PY 689
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_FINETUNE 3
LINES_OF_CODE_DECOMPOSITION_PRIMARY_FINETUNE 1,656
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_FINETUNE_EXT_PY 3
LINES_OF_CODE_DECOMPOSITION_PRIMARY_FINETUNE_EXT_PY 1,656
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH 13
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH 1,347
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH_EXT_PY 13
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH_EXT_PY 1,347
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH_DATAPREP 4
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH_DATAPREP 122
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH_DATAPREP_EXT_PY 4
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAIN_PYTORCH_DATAPREP_EXT_PY 122
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_CONCERN_GENERAL_TODOS 4
LINES_OF_CODE_CONCERN_GENERAL_TODOS 781
NUMBER_OF_FILES_CONCERN_GENERAL_TODOS_EXT_PY 4
LINES_OF_CODE_CONCERN_GENERAL_TODOS_EXT_PY 781
NUMBER_OF_FILES_CONCERN_GENERAL_UNCLASSIFIED 20
LINES_OF_CODE_CONCERN_GENERAL_UNCLASSIFIED 3,586
NUMBER_OF_FILES_CONCERN_GENERAL_UNCLASSIFIED_EXT_PY 20
LINES_OF_CODE_CONCERN_GENERAL_UNCLASSIFIED_EXT_PY 3,586
NEGLIGIBLE_RISK_FILE_SIZE_COUNT 14
LOW_RISK_FILE_SIZE_COUNT 4
MEDIUM_RISK_FILE_SIZE_COUNT 3
HIGH_RISK_FILE_SIZE_COUNT 3
VERY_HIGH_RISK_FILE_SIZE_COUNT 0
NEGLIGIBLE_RISK_FILE_SIZE_LOC 438
LOW_RISK_FILE_SIZE_LOC 545
MEDIUM_RISK_FILE_SIZE_LOC 1,168
HIGH_RISK_FILE_SIZE_LOC 2,216
VERY_HIGH_RISK_FILE_SIZE_LOC 0
FILE_CHANGE_HISTORY_TOTAL_AGE_DAYS 1,152
FILE_CHANGE_HISTORY_ACTIVE_DAYS 49
FILE_CHANGE_HISTORY_WEEKS 82
FILE_CHANGE_HISTORY_ESTIMATED_WORKING_DAYS 410
FILE_AGE_NEGLIGIBLE_RISK_COUNT 0
FILE_AGE_LOW_RISK_COUNT 0
FILE_AGE_MEDIUM_RISK_COUNT 0
FILE_AGE_HIGH_RISK_COUNT 0
FILE_AGE_VERY_HIGH_RISK_COUNT 24
FILE_AGE_NEGLIGIBLE_RISK_LOC 0
FILE_AGE_LOW_RISK_LOC 0
FILE_AGE_MEDIUM_RISK_LOC 0
FILE_AGE_HIGH_RISK_LOC 0
FILE_AGE_VERY_HIGH_RISK_LOC 4,367
NUMBER_OF_CONTRIBUTORS 21
NUMBER_OF_UNITS 254
LINES_OF_CODE_IN_UNITS 3,234
LINES_OF_CODE_OUTSIDE_UNITS 1,133
UNIT_SIZE_NEGLIGIBLE_RISK_LOC 710
UNIT_SIZE_NEGLIGIBLE_RISK_PERCENTAGE 21.95
UNIT_SIZE_NEGLIGIBLE_RISK_COUNT 183
UNIT_SIZE_LOW_RISK_LOC 539
UNIT_SIZE_LOW_RISK_PERCENTAGE 16.67
UNIT_SIZE_LOW_RISK_COUNT 39
UNIT_SIZE_MEDIUM_RISK_LOC 540
UNIT_SIZE_MEDIUM_RISK_PERCENTAGE 16.7
UNIT_SIZE_MEDIUM_RISK_COUNT 18
UNIT_SIZE_HIGH_RISK_LOC 571
UNIT_SIZE_HIGH_RISK_PERCENTAGE 17.66
UNIT_SIZE_HIGH_RISK_COUNT 9
UNIT_SIZE_VERY_HIGH_RISK_LOC 874
UNIT_SIZE_VERY_HIGH_RISK_PERCENTAGE 27.03
UNIT_SIZE_VERY_HIGH_RISK_COUNT 5
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_NEGLIGIBLE_RISK_LOC 90
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_NEGLIGIBLE_RISK_PERCENTAGE 17.93
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_NEGLIGIBLE_RISK_COUNT 23
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_LOW_RISK_LOC 83
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_LOW_RISK_PERCENTAGE 16.53
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_LOW_RISK_COUNT 6
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_MEDIUM_RISK_LOC 29
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_MEDIUM_RISK_PERCENTAGE 5.78
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_MEDIUM_RISK_COUNT 1
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_HIGH_RISK_LOC 56
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_HIGH_RISK_PERCENTAGE 11.16
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_HIGH_RISK_COUNT 1
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_VERY_HIGH_RISK_LOC 244
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_VERY_HIGH_RISK_PERCENTAGE 48.61
UNIT_SIZE_COMPONENT_FINETUNE_PYTORCH_VERY_HIGH_RISK_COUNT 1
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_NEGLIGIBLE_RISK_LOC 101
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_NEGLIGIBLE_RISK_PERCENTAGE 18.77
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_NEGLIGIBLE_RISK_COUNT 27
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_LOW_RISK_LOC 96
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_LOW_RISK_PERCENTAGE 17.84
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_LOW_RISK_COUNT 6
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_MEDIUM_RISK_LOC 93
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_MEDIUM_RISK_PERCENTAGE 17.29
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_MEDIUM_RISK_COUNT 3
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_HIGH_RISK_LOC 118
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_HIGH_RISK_PERCENTAGE 21.93
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_HIGH_RISK_COUNT 2
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_VERY_HIGH_RISK_LOC 130
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_VERY_HIGH_RISK_PERCENTAGE 24.16
UNIT_SIZE_COMPONENT_FINETUNE_TENSORFLOW_VERY_HIGH_RISK_COUNT 1
UNIT_SIZE_COMPONENT_FINETUNE_NEGLIGIBLE_RISK_LOC 202
UNIT_SIZE_COMPONENT_FINETUNE_NEGLIGIBLE_RISK_PERCENTAGE 16.75
UNIT_SIZE_COMPONENT_FINETUNE_NEGLIGIBLE_RISK_COUNT 56
UNIT_SIZE_COMPONENT_FINETUNE_LOW_RISK_LOC 224
UNIT_SIZE_COMPONENT_FINETUNE_LOW_RISK_PERCENTAGE 18.57
UNIT_SIZE_COMPONENT_FINETUNE_LOW_RISK_COUNT 17
UNIT_SIZE_COMPONENT_FINETUNE_MEDIUM_RISK_LOC 138
UNIT_SIZE_COMPONENT_FINETUNE_MEDIUM_RISK_PERCENTAGE 11.44
UNIT_SIZE_COMPONENT_FINETUNE_MEDIUM_RISK_COUNT 4
UNIT_SIZE_COMPONENT_FINETUNE_HIGH_RISK_LOC 142
UNIT_SIZE_COMPONENT_FINETUNE_HIGH_RISK_PERCENTAGE 11.77
UNIT_SIZE_COMPONENT_FINETUNE_HIGH_RISK_COUNT 2
UNIT_SIZE_COMPONENT_FINETUNE_VERY_HIGH_RISK_LOC 500
UNIT_SIZE_COMPONENT_FINETUNE_VERY_HIGH_RISK_PERCENTAGE 41.46
UNIT_SIZE_COMPONENT_FINETUNE_VERY_HIGH_RISK_COUNT 3
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_NEGLIGIBLE_RISK_LOC 309
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_NEGLIGIBLE_RISK_PERCENTAGE 31.53
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_NEGLIGIBLE_RISK_COUNT 76
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_LOW_RISK_LOC 136
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_LOW_RISK_PERCENTAGE 13.88
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_LOW_RISK_COUNT 10
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_MEDIUM_RISK_LOC 280
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_MEDIUM_RISK_PERCENTAGE 28.57
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_MEDIUM_RISK_COUNT 10
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_HIGH_RISK_LOC 255
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_HIGH_RISK_PERCENTAGE 26.02
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_HIGH_RISK_COUNT 4
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_NEGLIGIBLE_RISK_LOC 8
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_NEGLIGIBLE_RISK_PERCENTAGE 100
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_NEGLIGIBLE_RISK_COUNT 1
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_LOW_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_LOW_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_LOW_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_MEDIUM_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_MEDIUM_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_MEDIUM_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_EXTENSION_PY_NEGLIGIBLE_RISK_LOC 710
UNIT_SIZE_EXTENSION_PY_NEGLIGIBLE_RISK_PERCENTAGE 21.95
UNIT_SIZE_EXTENSION_PY_NEGLIGIBLE_RISK_COUNT 183
UNIT_SIZE_EXTENSION_PY_LOW_RISK_LOC 539
UNIT_SIZE_EXTENSION_PY_LOW_RISK_PERCENTAGE 16.67
UNIT_SIZE_EXTENSION_PY_LOW_RISK_COUNT 39
UNIT_SIZE_EXTENSION_PY_MEDIUM_RISK_LOC 540
UNIT_SIZE_EXTENSION_PY_MEDIUM_RISK_PERCENTAGE 16.7
UNIT_SIZE_EXTENSION_PY_MEDIUM_RISK_COUNT 18
UNIT_SIZE_EXTENSION_PY_HIGH_RISK_LOC 571
UNIT_SIZE_EXTENSION_PY_HIGH_RISK_PERCENTAGE 17.66
UNIT_SIZE_EXTENSION_PY_HIGH_RISK_COUNT 9
UNIT_SIZE_EXTENSION_PY_VERY_HIGH_RISK_LOC 874
UNIT_SIZE_EXTENSION_PY_VERY_HIGH_RISK_PERCENTAGE 27.03
UNIT_SIZE_EXTENSION_PY_VERY_HIGH_RISK_COUNT 5
CONDITIONAL_COMPLEXITY_NEGLIGIBLE_RISK_LOC 1,236
CONDITIONAL_COMPLEXITY_NEGLIGIBLE_RISK_PERCENTAGE 38.22
CONDITIONAL_COMPLEXITY_NEGLIGIBLE_RISK_COUNT 215
CONDITIONAL_COMPLEXITY_LOW_RISK_LOC 489
CONDITIONAL_COMPLEXITY_LOW_RISK_PERCENTAGE 15.12
CONDITIONAL_COMPLEXITY_LOW_RISK_COUNT 20
CONDITIONAL_COMPLEXITY_MEDIUM_RISK_LOC 629
CONDITIONAL_COMPLEXITY_MEDIUM_RISK_PERCENTAGE 19.45
CONDITIONAL_COMPLEXITY_MEDIUM_RISK_COUNT 12
CONDITIONAL_COMPLEXITY_HIGH_RISK_LOC 602
CONDITIONAL_COMPLEXITY_HIGH_RISK_PERCENTAGE 18.61
CONDITIONAL_COMPLEXITY_HIGH_RISK_COUNT 6
CONDITIONAL_COMPLEXITY_VERY_HIGH_RISK_LOC 278
CONDITIONAL_COMPLEXITY_VERY_HIGH_RISK_PERCENTAGE 8.6
CONDITIONAL_COMPLEXITY_VERY_HIGH_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_HIGH_PLUS_RISK_COUNT 7
CONDITIONAL_COMPLEXITY_HIGH_PLUS_RISK_LOC 880
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_NEGLIGIBLE_RISK_LOC 138
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_NEGLIGIBLE_RISK_PERCENTAGE 27.49
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_NEGLIGIBLE_RISK_COUNT 27
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_LOW_RISK_LOC 64
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_LOW_RISK_PERCENTAGE 12.75
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_LOW_RISK_COUNT 3
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_MEDIUM_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_MEDIUM_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_MEDIUM_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_HIGH_RISK_LOC 300
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_HIGH_RISK_PERCENTAGE 59.76
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_HIGH_RISK_COUNT 2
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_PYTORCH_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_NEGLIGIBLE_RISK_LOC 261
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_NEGLIGIBLE_RISK_PERCENTAGE 48.51
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_NEGLIGIBLE_RISK_COUNT 35
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_LOW_RISK_LOC 93
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_LOW_RISK_PERCENTAGE 17.29
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_LOW_RISK_COUNT 2
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_MEDIUM_RISK_LOC 130
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_MEDIUM_RISK_PERCENTAGE 24.16
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_MEDIUM_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_HIGH_RISK_LOC 54
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_HIGH_RISK_PERCENTAGE 10.04
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_HIGH_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_TENSORFLOW_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_NEGLIGIBLE_RISK_LOC 363
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_NEGLIGIBLE_RISK_PERCENTAGE 30.1
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_NEGLIGIBLE_RISK_COUNT 68
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_LOW_RISK_LOC 70
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_LOW_RISK_PERCENTAGE 5.8
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_LOW_RISK_COUNT 5
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_MEDIUM_RISK_LOC 247
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_MEDIUM_RISK_PERCENTAGE 20.48
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_MEDIUM_RISK_COUNT 5
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_HIGH_RISK_LOC 248
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_HIGH_RISK_PERCENTAGE 20.56
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_HIGH_RISK_COUNT 3
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_VERY_HIGH_RISK_LOC 278
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_VERY_HIGH_RISK_PERCENTAGE 23.05
CONDITIONAL_COMPLEXITY_COMPONENT_FINETUNE_VERY_HIGH_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_NEGLIGIBLE_RISK_LOC 466
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_NEGLIGIBLE_RISK_PERCENTAGE 47.55
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_NEGLIGIBLE_RISK_COUNT 84
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_LOW_RISK_LOC 262
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_LOW_RISK_PERCENTAGE 26.73
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_LOW_RISK_COUNT 10
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_MEDIUM_RISK_LOC 252
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_MEDIUM_RISK_PERCENTAGE 25.71
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_MEDIUM_RISK_COUNT 6
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_NEGLIGIBLE_RISK_LOC 8
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_NEGLIGIBLE_RISK_PERCENTAGE 100
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_NEGLIGIBLE_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_LOW_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_LOW_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_LOW_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_MEDIUM_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_MEDIUM_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_MEDIUM_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAIN_PYTORCH_DATAPREP_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PY_NEGLIGIBLE_RISK_LOC 1,236
CONDITIONAL_COMPLEXITY_COMPONENT_PY_NEGLIGIBLE_RISK_PERCENTAGE 38.22
CONDITIONAL_COMPLEXITY_COMPONENT_PY_NEGLIGIBLE_RISK_COUNT 215
CONDITIONAL_COMPLEXITY_COMPONENT_PY_LOW_RISK_LOC 489
CONDITIONAL_COMPLEXITY_COMPONENT_PY_LOW_RISK_PERCENTAGE 15.12
CONDITIONAL_COMPLEXITY_COMPONENT_PY_LOW_RISK_COUNT 20
CONDITIONAL_COMPLEXITY_COMPONENT_PY_MEDIUM_RISK_LOC 629
CONDITIONAL_COMPLEXITY_COMPONENT_PY_MEDIUM_RISK_PERCENTAGE 19.45
CONDITIONAL_COMPLEXITY_COMPONENT_PY_MEDIUM_RISK_COUNT 12
CONDITIONAL_COMPLEXITY_COMPONENT_PY_HIGH_RISK_LOC 602
CONDITIONAL_COMPLEXITY_COMPONENT_PY_HIGH_RISK_PERCENTAGE 18.61
CONDITIONAL_COMPLEXITY_COMPONENT_PY_HIGH_RISK_COUNT 6
CONDITIONAL_COMPLEXITY_COMPONENT_PY_VERY_HIGH_RISK_LOC 278
CONDITIONAL_COMPLEXITY_COMPONENT_PY_VERY_HIGH_RISK_PERCENTAGE 8.6
CONDITIONAL_COMPLEXITY_COMPONENT_PY_VERY_HIGH_RISK_COUNT 1
DUPLICATION_NUMBER_OF_DUPLICATES 109
DUPLICATION_NUMBER_OF_FILES_WITH_DUPLICATES 9
DUPLICATION_NUMBER_OF_DUPLICATED_LINES 859
DUPLICATION_NUMBER_OF_CLEANED_LINES 4,140
DUPLICATION_PERCENTAGE 20.75
UNIT_DUPLICATES_COUNT 5
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_FINETUNE 418
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_FINETUNE 418
DUPLICATION_PERCENTAGE_PRIMARY_FINETUNE 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_FINETUNE_PYTORCH 208
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_FINETUNE_PYTORCH 208
DUPLICATION_PERCENTAGE_PRIMARY_FINETUNE_PYTORCH 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_FINETUNE_TENSORFLOW 120
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_FINETUNE_TENSORFLOW 120
DUPLICATION_PERCENTAGE_PRIMARY_FINETUNE_TENSORFLOW 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAIN_PYTORCH 113
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAIN_PYTORCH 113
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAIN_PYTORCH 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAIN_PYTORCH_DATAPREP 0
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAIN_PYTORCH_DATAPREP 0
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAIN_PYTORCH_DATAPREP -
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PY 859
DUPLICATION_NUMBER_OF_CLEANED_LINES_PY 4,140
DUPLICATION_PERCENTAGE_PY 20.75
TOTAL_ANALYSIS_TIME_IN_MILLIS 1,471