facebookresearch / SpanBERT
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 94
NUMBER_OF_FILES_MAIN 83
LINES_OF_CODE_MAIN 11,541
NUMBER_OF_FILES_MAIN_EXT_PY 83
LINES_OF_CODE_MAIN_EXT_PY 11,541
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 1
LINES_OF_CODE_BUILD_AND_DEPLOYMENT 7
NUMBER_OF_FILES_BUILD_AND_DEPLOYMENT_EXT_SH 1
LINES_OF_CODE_BUILD_AND_DEPLOYMENT_EXT_SH 7
NUMBER_OF_FILES_OTHER 4
LINES_OF_CODE_OTHER 185
NUMBER_OF_FILES_OTHER_EXT_MD 4
LINES_OF_CODE_OTHER_EXT_MD 185
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CODE 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CODE 3,152
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CODE_EXT_PY 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CODE_EXT_PY 3,152
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CODE_PYTORCH_PRETRAINED_BERT 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CODE_PYTORCH_PRETRAINED_BERT 1,173
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_CODE_PYTORCH_PRETRAINED_BERT_EXT_PY 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_CODE_PYTORCH_PRETRAINED_BERT_EXT_PY 1,173
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING 626
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_EXT_PY 5
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_EXT_PY 626
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ 10
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ 1,402
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_EXT_PY 10
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_EXT_PY 1,402
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_TASKS 3
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_TASKS 238
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_TASKS_EXT_PY 3
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_TASKS_EXT_PY 238
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_OPTIM 16
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_OPTIM 741
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_OPTIM_EXT_PY 16
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_OPTIM_EXT_PY 741
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODELS 8
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODELS 1,334
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODELS_EXT_PY 8
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODELS_EXT_PY 1,334
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODULES 13
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODULES 977
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODULES_EXT_PY 13
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_MODULES_EXT_PY 977
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_DATA 9
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_DATA 1,446
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_DATA_EXT_PY 9
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_DATA_EXT_PY 1,446
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_CRITERIONS 9
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_CRITERIONS 452
NUMBER_OF_FILES_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_CRITERIONS_EXT_PY 9
LINES_OF_CODE_DECOMPOSITION_PRIMARY_PRETRAINING_FAIRSEQ_CRITERIONS_EXT_PY 452
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 2
LINES_OF_CODE_CONCERN_GENERAL_TODOS 917
NUMBER_OF_FILES_CONCERN_GENERAL_TODOS_EXT_PY 2
LINES_OF_CODE_CONCERN_GENERAL_TODOS_EXT_PY 917
NUMBER_OF_FILES_CONCERN_GENERAL_UNCLASSIFIED 81
LINES_OF_CODE_CONCERN_GENERAL_UNCLASSIFIED 10,624
NUMBER_OF_FILES_CONCERN_GENERAL_UNCLASSIFIED_EXT_PY 81
LINES_OF_CODE_CONCERN_GENERAL_UNCLASSIFIED_EXT_PY 10,624
NEGLIGIBLE_RISK_FILE_SIZE_COUNT 50
LOW_RISK_FILE_SIZE_COUNT 17
MEDIUM_RISK_FILE_SIZE_COUNT 10
HIGH_RISK_FILE_SIZE_COUNT 6
VERY_HIGH_RISK_FILE_SIZE_COUNT 0
NEGLIGIBLE_RISK_FILE_SIZE_LOC 1,960
LOW_RISK_FILE_SIZE_LOC 2,346
MEDIUM_RISK_FILE_SIZE_LOC 2,975
HIGH_RISK_FILE_SIZE_LOC 4,260
VERY_HIGH_RISK_FILE_SIZE_LOC 0
FILE_CHANGE_HISTORY_TOTAL_AGE_DAYS 870
FILE_CHANGE_HISTORY_ACTIVE_DAYS 7
FILE_CHANGE_HISTORY_WEEKS 97
FILE_CHANGE_HISTORY_ESTIMATED_WORKING_DAYS 485
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 74
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 7,831
NUMBER_OF_CONTRIBUTORS 5
NUMBER_OF_UNITS 889
LINES_OF_CODE_IN_UNITS 9,795
LINES_OF_CODE_OUTSIDE_UNITS 1,746
UNIT_SIZE_NEGLIGIBLE_RISK_LOC 2,771
UNIT_SIZE_NEGLIGIBLE_RISK_PERCENTAGE 28.29
UNIT_SIZE_NEGLIGIBLE_RISK_COUNT 634
UNIT_SIZE_LOW_RISK_LOC 2,284
UNIT_SIZE_LOW_RISK_PERCENTAGE 23.32
UNIT_SIZE_LOW_RISK_COUNT 159
UNIT_SIZE_MEDIUM_RISK_LOC 2,328
UNIT_SIZE_MEDIUM_RISK_PERCENTAGE 23.77
UNIT_SIZE_MEDIUM_RISK_COUNT 75
UNIT_SIZE_HIGH_RISK_LOC 862
UNIT_SIZE_HIGH_RISK_PERCENTAGE 8.8
UNIT_SIZE_HIGH_RISK_COUNT 12
UNIT_SIZE_VERY_HIGH_RISK_LOC 1,550
UNIT_SIZE_VERY_HIGH_RISK_PERCENTAGE 15.82
UNIT_SIZE_VERY_HIGH_RISK_COUNT 9
UNIT_SIZE_COMPONENT_CODE_NEGLIGIBLE_RISK_LOC 274
UNIT_SIZE_COMPONENT_CODE_NEGLIGIBLE_RISK_PERCENTAGE 9.92
UNIT_SIZE_COMPONENT_CODE_NEGLIGIBLE_RISK_COUNT 68
UNIT_SIZE_COMPONENT_CODE_LOW_RISK_LOC 461
UNIT_SIZE_COMPONENT_CODE_LOW_RISK_PERCENTAGE 16.7
UNIT_SIZE_COMPONENT_CODE_LOW_RISK_COUNT 32
UNIT_SIZE_COMPONENT_CODE_MEDIUM_RISK_LOC 349
UNIT_SIZE_COMPONENT_CODE_MEDIUM_RISK_PERCENTAGE 12.64
UNIT_SIZE_COMPONENT_CODE_MEDIUM_RISK_COUNT 10
UNIT_SIZE_COMPONENT_CODE_HIGH_RISK_LOC 275
UNIT_SIZE_COMPONENT_CODE_HIGH_RISK_PERCENTAGE 9.96
UNIT_SIZE_COMPONENT_CODE_HIGH_RISK_COUNT 4
UNIT_SIZE_COMPONENT_CODE_VERY_HIGH_RISK_LOC 1,402
UNIT_SIZE_COMPONENT_CODE_VERY_HIGH_RISK_PERCENTAGE 50.78
UNIT_SIZE_COMPONENT_CODE_VERY_HIGH_RISK_COUNT 8
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_NEGLIGIBLE_RISK_LOC 380
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_NEGLIGIBLE_RISK_PERCENTAGE 36.71
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_NEGLIGIBLE_RISK_COUNT 68
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_LOW_RISK_LOC 294
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_LOW_RISK_PERCENTAGE 28.41
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_LOW_RISK_COUNT 21
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_MEDIUM_RISK_LOC 213
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_MEDIUM_RISK_PERCENTAGE 20.58
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_MEDIUM_RISK_COUNT 6
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_HIGH_RISK_LOC 148
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_HIGH_RISK_PERCENTAGE 14.3
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_HIGH_RISK_COUNT 2
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_NEGLIGIBLE_RISK_LOC 72
UNIT_SIZE_COMPONENT_PRETRAINING_NEGLIGIBLE_RISK_PERCENTAGE 12.7
UNIT_SIZE_COMPONENT_PRETRAINING_NEGLIGIBLE_RISK_COUNT 12
UNIT_SIZE_COMPONENT_PRETRAINING_LOW_RISK_LOC 65
UNIT_SIZE_COMPONENT_PRETRAINING_LOW_RISK_PERCENTAGE 11.46
UNIT_SIZE_COMPONENT_PRETRAINING_LOW_RISK_COUNT 4
UNIT_SIZE_COMPONENT_PRETRAINING_MEDIUM_RISK_LOC 174
UNIT_SIZE_COMPONENT_PRETRAINING_MEDIUM_RISK_PERCENTAGE 30.69
UNIT_SIZE_COMPONENT_PRETRAINING_MEDIUM_RISK_COUNT 6
UNIT_SIZE_COMPONENT_PRETRAINING_HIGH_RISK_LOC 108
UNIT_SIZE_COMPONENT_PRETRAINING_HIGH_RISK_PERCENTAGE 19.05
UNIT_SIZE_COMPONENT_PRETRAINING_HIGH_RISK_COUNT 2
UNIT_SIZE_COMPONENT_PRETRAINING_VERY_HIGH_RISK_LOC 148
UNIT_SIZE_COMPONENT_PRETRAINING_VERY_HIGH_RISK_PERCENTAGE 26.1
UNIT_SIZE_COMPONENT_PRETRAINING_VERY_HIGH_RISK_COUNT 1
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_NEGLIGIBLE_RISK_LOC 430
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_NEGLIGIBLE_RISK_PERCENTAGE 33.2
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_NEGLIGIBLE_RISK_COUNT 95
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_LOW_RISK_LOC 284
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_LOW_RISK_PERCENTAGE 21.93
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_LOW_RISK_COUNT 19
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MEDIUM_RISK_LOC 491
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MEDIUM_RISK_PERCENTAGE 37.92
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MEDIUM_RISK_COUNT 16
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_HIGH_RISK_LOC 90
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_HIGH_RISK_PERCENTAGE 6.95
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_HIGH_RISK_COUNT 1
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_NEGLIGIBLE_RISK_LOC 71
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_NEGLIGIBLE_RISK_PERCENTAGE 44.65
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_NEGLIGIBLE_RISK_COUNT 22
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_LOW_RISK_LOC 12
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_LOW_RISK_PERCENTAGE 7.55
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_LOW_RISK_COUNT 1
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_MEDIUM_RISK_LOC 76
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_MEDIUM_RISK_PERCENTAGE 47.8
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_MEDIUM_RISK_COUNT 2
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_NEGLIGIBLE_RISK_LOC 311
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_NEGLIGIBLE_RISK_PERCENTAGE 48.59
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_NEGLIGIBLE_RISK_COUNT 69
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_LOW_RISK_LOC 188
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_LOW_RISK_PERCENTAGE 29.38
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_LOW_RISK_COUNT 14
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_MEDIUM_RISK_LOC 141
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_MEDIUM_RISK_PERCENTAGE 22.03
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_MEDIUM_RISK_COUNT 5
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_NEGLIGIBLE_RISK_LOC 530
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_NEGLIGIBLE_RISK_PERCENTAGE 44.65
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_NEGLIGIBLE_RISK_COUNT 121
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_LOW_RISK_LOC 370
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_LOW_RISK_PERCENTAGE 31.17
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_LOW_RISK_COUNT 25
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_MEDIUM_RISK_LOC 137
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_MEDIUM_RISK_PERCENTAGE 11.54
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_MEDIUM_RISK_COUNT 4
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_HIGH_RISK_LOC 150
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_HIGH_RISK_PERCENTAGE 12.64
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_HIGH_RISK_COUNT 2
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_NEGLIGIBLE_RISK_LOC 221
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_NEGLIGIBLE_RISK_PERCENTAGE 32.94
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_NEGLIGIBLE_RISK_COUNT 52
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_LOW_RISK_LOC 141
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_LOW_RISK_PERCENTAGE 21.01
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_LOW_RISK_COUNT 11
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_MEDIUM_RISK_LOC 218
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_MEDIUM_RISK_PERCENTAGE 32.49
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_MEDIUM_RISK_COUNT 8
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_HIGH_RISK_LOC 91
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_HIGH_RISK_PERCENTAGE 13.56
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_HIGH_RISK_COUNT 1
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_NEGLIGIBLE_RISK_LOC 420
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_NEGLIGIBLE_RISK_PERCENTAGE 38.5
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_NEGLIGIBLE_RISK_COUNT 106
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_LOW_RISK_LOC 355
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_LOW_RISK_PERCENTAGE 32.54
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_LOW_RISK_COUNT 24
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_MEDIUM_RISK_LOC 316
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_MEDIUM_RISK_PERCENTAGE 28.96
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_MEDIUM_RISK_COUNT 11
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_DATA_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_NEGLIGIBLE_RISK_LOC 62
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_NEGLIGIBLE_RISK_PERCENTAGE 15.94
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_NEGLIGIBLE_RISK_COUNT 21
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_LOW_RISK_LOC 114
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_LOW_RISK_PERCENTAGE 29.31
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_LOW_RISK_COUNT 8
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_MEDIUM_RISK_LOC 213
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_MEDIUM_RISK_PERCENTAGE 54.76
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_MEDIUM_RISK_COUNT 7
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_HIGH_RISK_COUNT 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_VERY_HIGH_RISK_LOC 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_VERY_HIGH_RISK_PERCENTAGE 0
UNIT_SIZE_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_VERY_HIGH_RISK_COUNT 0
UNIT_SIZE_EXTENSION_PY_NEGLIGIBLE_RISK_LOC 2,771
UNIT_SIZE_EXTENSION_PY_NEGLIGIBLE_RISK_PERCENTAGE 28.29
UNIT_SIZE_EXTENSION_PY_NEGLIGIBLE_RISK_COUNT 634
UNIT_SIZE_EXTENSION_PY_LOW_RISK_LOC 2,284
UNIT_SIZE_EXTENSION_PY_LOW_RISK_PERCENTAGE 23.32
UNIT_SIZE_EXTENSION_PY_LOW_RISK_COUNT 159
UNIT_SIZE_EXTENSION_PY_MEDIUM_RISK_LOC 2,328
UNIT_SIZE_EXTENSION_PY_MEDIUM_RISK_PERCENTAGE 23.77
UNIT_SIZE_EXTENSION_PY_MEDIUM_RISK_COUNT 75
UNIT_SIZE_EXTENSION_PY_HIGH_RISK_LOC 862
UNIT_SIZE_EXTENSION_PY_HIGH_RISK_PERCENTAGE 8.8
UNIT_SIZE_EXTENSION_PY_HIGH_RISK_COUNT 12
UNIT_SIZE_EXTENSION_PY_VERY_HIGH_RISK_LOC 1,550
UNIT_SIZE_EXTENSION_PY_VERY_HIGH_RISK_PERCENTAGE 15.82
UNIT_SIZE_EXTENSION_PY_VERY_HIGH_RISK_COUNT 9
CONDITIONAL_COMPLEXITY_NEGLIGIBLE_RISK_LOC 5,172
CONDITIONAL_COMPLEXITY_NEGLIGIBLE_RISK_PERCENTAGE 52.8
CONDITIONAL_COMPLEXITY_NEGLIGIBLE_RISK_COUNT 770
CONDITIONAL_COMPLEXITY_LOW_RISK_LOC 1,530
CONDITIONAL_COMPLEXITY_LOW_RISK_PERCENTAGE 15.62
CONDITIONAL_COMPLEXITY_LOW_RISK_COUNT 78
CONDITIONAL_COMPLEXITY_MEDIUM_RISK_LOC 1,370
CONDITIONAL_COMPLEXITY_MEDIUM_RISK_PERCENTAGE 13.99
CONDITIONAL_COMPLEXITY_MEDIUM_RISK_COUNT 30
CONDITIONAL_COMPLEXITY_HIGH_RISK_LOC 825
CONDITIONAL_COMPLEXITY_HIGH_RISK_PERCENTAGE 8.42
CONDITIONAL_COMPLEXITY_HIGH_RISK_COUNT 7
CONDITIONAL_COMPLEXITY_VERY_HIGH_RISK_LOC 898
CONDITIONAL_COMPLEXITY_VERY_HIGH_RISK_PERCENTAGE 9.17
CONDITIONAL_COMPLEXITY_VERY_HIGH_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_HIGH_PLUS_RISK_COUNT 11
CONDITIONAL_COMPLEXITY_HIGH_PLUS_RISK_LOC 1,723
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_NEGLIGIBLE_RISK_LOC 667
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_NEGLIGIBLE_RISK_PERCENTAGE 24.16
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_NEGLIGIBLE_RISK_COUNT 94
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_LOW_RISK_LOC 221
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_LOW_RISK_PERCENTAGE 8
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_LOW_RISK_COUNT 12
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_MEDIUM_RISK_LOC 478
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_MEDIUM_RISK_PERCENTAGE 17.31
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_MEDIUM_RISK_COUNT 8
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_HIGH_RISK_LOC 497
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_HIGH_RISK_PERCENTAGE 18
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_HIGH_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_VERY_HIGH_RISK_LOC 898
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_VERY_HIGH_RISK_PERCENTAGE 32.52
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_VERY_HIGH_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_NEGLIGIBLE_RISK_LOC 550
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_NEGLIGIBLE_RISK_PERCENTAGE 53.14
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_NEGLIGIBLE_RISK_COUNT 79
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_LOW_RISK_LOC 214
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_LOW_RISK_PERCENTAGE 20.68
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_LOW_RISK_COUNT 11
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_MEDIUM_RISK_LOC 182
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_MEDIUM_RISK_PERCENTAGE 17.58
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_MEDIUM_RISK_COUNT 6
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_HIGH_RISK_LOC 89
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_HIGH_RISK_PERCENTAGE 8.6
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_HIGH_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_CODE_PYTORCH_PRETRAINED_BERT_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_NEGLIGIBLE_RISK_LOC 154
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_NEGLIGIBLE_RISK_PERCENTAGE 27.16
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_NEGLIGIBLE_RISK_COUNT 16
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_LOW_RISK_LOC 167
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_LOW_RISK_PERCENTAGE 29.45
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_LOW_RISK_COUNT 6
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_MEDIUM_RISK_LOC 98
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_MEDIUM_RISK_PERCENTAGE 17.28
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_MEDIUM_RISK_COUNT 2
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_HIGH_RISK_LOC 148
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_HIGH_RISK_PERCENTAGE 26.1
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_HIGH_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_NEGLIGIBLE_RISK_LOC 822
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_NEGLIGIBLE_RISK_PERCENTAGE 63.47
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_NEGLIGIBLE_RISK_COUNT 110
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_LOW_RISK_LOC 273
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_LOW_RISK_PERCENTAGE 21.08
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_LOW_RISK_COUNT 17
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MEDIUM_RISK_LOC 200
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MEDIUM_RISK_PERCENTAGE 15.44
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MEDIUM_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_NEGLIGIBLE_RISK_LOC 110
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_NEGLIGIBLE_RISK_PERCENTAGE 69.18
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_NEGLIGIBLE_RISK_COUNT 24
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_LOW_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_LOW_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_LOW_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_MEDIUM_RISK_LOC 49
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_MEDIUM_RISK_PERCENTAGE 30.82
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_MEDIUM_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_TASKS_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_NEGLIGIBLE_RISK_LOC 510
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_NEGLIGIBLE_RISK_PERCENTAGE 79.69
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_NEGLIGIBLE_RISK_COUNT 83
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_LOW_RISK_LOC 92
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_LOW_RISK_PERCENTAGE 14.38
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_LOW_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_MEDIUM_RISK_LOC 38
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_MEDIUM_RISK_PERCENTAGE 5.94
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_MEDIUM_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_OPTIM_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_NEGLIGIBLE_RISK_LOC 931
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_NEGLIGIBLE_RISK_PERCENTAGE 78.43
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_NEGLIGIBLE_RISK_COUNT 143
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_LOW_RISK_LOC 66
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_LOW_RISK_PERCENTAGE 5.56
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_LOW_RISK_COUNT 5
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_MEDIUM_RISK_LOC 190
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_MEDIUM_RISK_PERCENTAGE 16.01
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_MEDIUM_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODELS_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_NEGLIGIBLE_RISK_LOC 495
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_NEGLIGIBLE_RISK_PERCENTAGE 73.77
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_NEGLIGIBLE_RISK_COUNT 67
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_LOW_RISK_LOC 85
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_LOW_RISK_PERCENTAGE 12.67
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_LOW_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_MEDIUM_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_MEDIUM_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_MEDIUM_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_HIGH_RISK_LOC 91
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_HIGH_RISK_PERCENTAGE 13.56
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_HIGH_RISK_COUNT 1
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_MODULES_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_NEGLIGIBLE_RISK_LOC 687
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_NEGLIGIBLE_RISK_PERCENTAGE 62.97
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_NEGLIGIBLE_RISK_COUNT 124
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_LOW_RISK_LOC 269
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_LOW_RISK_PERCENTAGE 24.66
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_LOW_RISK_COUNT 13
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_MEDIUM_RISK_LOC 135
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_MEDIUM_RISK_PERCENTAGE 12.37
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_MEDIUM_RISK_COUNT 4
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_DATA_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_NEGLIGIBLE_RISK_LOC 246
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_NEGLIGIBLE_RISK_PERCENTAGE 63.24
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_NEGLIGIBLE_RISK_COUNT 30
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_LOW_RISK_LOC 143
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_LOW_RISK_PERCENTAGE 36.76
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_LOW_RISK_COUNT 6
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_MEDIUM_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_MEDIUM_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_MEDIUM_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_VERY_HIGH_RISK_LOC 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_VERY_HIGH_RISK_PERCENTAGE 0
CONDITIONAL_COMPLEXITY_COMPONENT_PRETRAINING_FAIRSEQ_CRITERIONS_VERY_HIGH_RISK_COUNT 0
CONDITIONAL_COMPLEXITY_COMPONENT_PY_NEGLIGIBLE_RISK_LOC 5,172
CONDITIONAL_COMPLEXITY_COMPONENT_PY_NEGLIGIBLE_RISK_PERCENTAGE 52.8
CONDITIONAL_COMPLEXITY_COMPONENT_PY_NEGLIGIBLE_RISK_COUNT 770
CONDITIONAL_COMPLEXITY_COMPONENT_PY_LOW_RISK_LOC 1,530
CONDITIONAL_COMPLEXITY_COMPONENT_PY_LOW_RISK_PERCENTAGE 15.62
CONDITIONAL_COMPLEXITY_COMPONENT_PY_LOW_RISK_COUNT 78
CONDITIONAL_COMPLEXITY_COMPONENT_PY_MEDIUM_RISK_LOC 1,370
CONDITIONAL_COMPLEXITY_COMPONENT_PY_MEDIUM_RISK_PERCENTAGE 13.99
CONDITIONAL_COMPLEXITY_COMPONENT_PY_MEDIUM_RISK_COUNT 30
CONDITIONAL_COMPLEXITY_COMPONENT_PY_HIGH_RISK_LOC 825
CONDITIONAL_COMPLEXITY_COMPONENT_PY_HIGH_RISK_PERCENTAGE 8.42
CONDITIONAL_COMPLEXITY_COMPONENT_PY_HIGH_RISK_COUNT 7
CONDITIONAL_COMPLEXITY_COMPONENT_PY_VERY_HIGH_RISK_LOC 898
CONDITIONAL_COMPLEXITY_COMPONENT_PY_VERY_HIGH_RISK_PERCENTAGE 9.17
CONDITIONAL_COMPLEXITY_COMPONENT_PY_VERY_HIGH_RISK_COUNT 4
DUPLICATION_NUMBER_OF_DUPLICATES 259
DUPLICATION_NUMBER_OF_FILES_WITH_DUPLICATES 30
DUPLICATION_NUMBER_OF_DUPLICATED_LINES 4,148
DUPLICATION_NUMBER_OF_CLEANED_LINES 11,047
DUPLICATION_PERCENTAGE 37.55
UNIT_DUPLICATES_COUNT 31
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CODE 1,887
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CODE 1,887
DUPLICATION_PERCENTAGE_PRIMARY_CODE 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_MODELS 916
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_MODELS 916
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING_FAIRSEQ_MODELS 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_DATA 374
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_DATA 374
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING_FAIRSEQ_DATA 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_CODE_PYTORCH_PRETRAINED_BERT 389
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_CODE_PYTORCH_PRETRAINED_BERT 389
DUPLICATION_PERCENTAGE_PRIMARY_CODE_PYTORCH_PRETRAINED_BERT 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_MODULES 233
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_MODULES 233
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING_FAIRSEQ_MODULES 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_CRITERIONS 194
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_CRITERIONS 194
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING_FAIRSEQ_CRITERIONS 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_OPTIM 155
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_OPTIM 155
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING_FAIRSEQ_OPTIM 100
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING 0
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING 0
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING -
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING_FAIRSEQ 0
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING_FAIRSEQ 0
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING_FAIRSEQ -
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_TASKS 0
DUPLICATION_NUMBER_OF_CLEANED_LINES_PRIMARY_PRETRAINING_FAIRSEQ_TASKS 0
DUPLICATION_PERCENTAGE_PRIMARY_PRETRAINING_FAIRSEQ_TASKS -
DUPLICATION_NUMBER_OF_DUPLICATED_LINES_PY 4,148
DUPLICATION_NUMBER_OF_CLEANED_LINES_PY 11,047
DUPLICATION_PERCENTAGE_PY 37.55
TOTAL_ANALYSIS_TIME_IN_MILLIS 3,137