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Add missing seaborn dependency
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dccastro committed Mar 7, 2022
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Expand Up @@ -34,6 +34,7 @@ dependencies:
- runstats==1.8.0
- scikit-image==0.17.2
- scipy==1.5.2
- seaborn==0.10.1
- simpleitk==1.2.4
- six==1.15.0
- stopit==1.1.2
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Filename Stmts Miss Cover Missing
/home/runner/work/hi-ml/hi-ml/hi-ml-azure/src/health_azure/datasets.py 149 35 76.51% 128-158,282,311-315,342-348
/home/runner/work/hi-ml/hi-ml/hi-ml-azure/src/health_azure/himl.py 181 2 98.90% 143,538
/home/runner/work/hi-ml/hi-ml/hi-ml-azure/src/health_azure/himl_download.py 27 10 62.96% 42-56
/home/runner/work/hi-ml/hi-ml/hi-ml-azure/src/health_azure/himl_tensorboard.py 56 4 92.86% 87-89,101
/home/runner/work/hi-ml/hi-ml/hi-ml-azure/src/health_azure/paths.py 20 3 85.00% 24,31,46
/home/runner/work/hi-ml/hi-ml/hi-ml-azure/src/health_azure/utils.py 691 75 89.15% 121-136,142,211,297,317,325-326,389,421,438,441,448,492,507-514,533,539,554-557,559,592-597,602-604,608,612,619-629,652,720,905,1028,1299,1449,1496-1511,1556,1669,1678,1688,1740
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/encoders.py 37 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_metrics.py 101 27 73.27% 44-45,53,58-59,67,72-73,81,95,120,134-135,143,153-165
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/ssl_augmentation_config.py 43 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/utils.py 66 10 84.85% 55,59,90,111-121
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/configs/CIFAR_SSL_configs.py 11 1 90.91% 33
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/configs/CIFAR_classifier_configs.py 5 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/configs/CXR_SSL_configs.py 19 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/configs/CovidContainers.py 8 1 87.50% 20
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/cifar_datasets.py 10 1 90.00% 30
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/cxr_datasets.py 97 32 67.01% 42,49-51,70,141-143,163-164,167-179,190-197,201,210-218
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/datamodules.py 75 3 96.00% 83-85,133
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/dataset_cls_utils.py 15 1 93.33% 32
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/image_transforms.py 54 2 96.30% 33,53
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/io_util.py 29 6 79.31% 62-68
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/transform_pipeline.py 60 8 86.67% 71-74,79-82,123
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/data/transforms_utils.py 29 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_containers/ssl_container.py 120 6 95.00% 127,190,275-286
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_containers/ssl_image_classifier.py 29 1 96.55% 39
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_modules/simclr_module.py 47 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_modules/ssl_classifier_module.py 55 3 94.55% 50-51,58
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_modules/ssl_online_evaluator.py 98 4 95.92% 62,100,105,111
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_modules/byol/byol_models.py 26 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_modules/byol/byol_module.py 71 1 98.59% 143
/home/runner/work/hi-ml/hi-ml/hi-ml-histopathology/src/SSL/lightning_modules/byol/byol_moving_average.py 24 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/deep_learning_config.py 177 18 89.83% 91,105-109,165,324,329-334,342-344,408
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/experiment_config.py 6 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/lightning_container.py 80 10 87.50% 67,93,108,148,157-158,178,220-223
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/model_trainer.py 104 15 85.58% 64-73,85-86,111,114-115,124,133,227-228
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/run_ml.py 89 14 84.27% 37-41,80-85,132-133,175,179,193
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/runner.py 140 12 91.43% 51,164-166,215-216,227,245,248,315-316,320,324
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/configs/hello_world.py 109 14 87.16% 41-51,93-95
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/networks/layers/attention_layers.py 46 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/bag_utils.py 87 15 82.76% 117,143-144,147,150-155,166,169-175
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/box_utils.py 50 20 60.00% 24,26,35-37,48,59,67,75,88-95,104,114-115
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/checkpoint_utils.py 186 73 60.75% 44,47,50-52,55-58,82,125,130-141,152-154,170-175,184-203,210,217-227,231-232,242,262-280,294-302,314-315,329-330,345-346,362
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/common_utils.py 154 22 85.71% 66-67,92,145,147,174-176,230-232,235,239-241,254,260,321-324,334
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/config_loader.py 83 4 95.18% 80,112,119-120
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/data_augmentations.py 74 1 98.65% 76
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/diagnostics.py 123 0 100.00%
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/fixed_paths.py 15 5 66.67% 21,38,45-47
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/lightning_loggers.py 61 24 60.66% 34-35,40,45-50,58,61,64,67,74,87-98,110
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/logging.py 182 6 96.70% 77-79,111,149,274
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/lr_scheduler.py 80 60 25.00% 19,28-33,36-40,43,48-51,54-55,65-78,85-116,125-130,138-141,149-160,163
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/model_util.py 13 7 46.15% 16-36
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/reports.py 219 11 94.98% 79,81,254,288,343,345,420,454,466-467,475
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/split_dataset.py 94 19 79.79% 48,56,64-65,86-87,97-104,124,128,132,140-141,273
/home/runner/work/hi-ml/hi-ml/hi-ml/src/health_ml/utils/type_annotations.py 8 0 100.00%
/opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/health_azure/datasets.py 149 33 77.85% 30-32,36,48,53-61,107,115,210,262-291
/opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/health_azure/himl.py 181 44 75.69% 130,143,147,150,154,159,164-168,195-201,225-226,230-231,233,238-242,277-285,303,512,532,538,551,565-569,591,600,629-640
/opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/health_azure/himl_download.py 27 27 0.00% 6-58
/opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/health_azure/himl_tensorboard.py 56 56 0.00% 6-107
/opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/health_azure/paths.py 20 20 0.00% 6-47
/opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/health_azure/utils.py 691 362 47.61% 102-106,121-136,142,155-162,195-200,211,215,219,221-222,229,243-257,263,296-297,317,325-331,338,383,387,389,419,421,434-452,465-471,482,492,507-514,530-539,555,558-560,570-571,592-597,602-604,608,612,619-629,652,656,691,712,725,732,755-765,778-785,796-801,822-824,839,852,864-872,886-914,921-925,935,948-960,975-1032,1060-1061,1072,1099,1137-1151,1158-1174,1190-1191,1223-1224,1269-1271,1299,1351,1366-1367,1415-1420,1448-1457,1496-1511,1531-1532,1556,1570-1571,1590,1635-1648,1668-1693,1724-1728,1738-1746,1761,1768-1770
TOTAL 5557 1128 79.70%

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