manifests/16/github.com__llliphys__nanopore-ml-optical.json

{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/llliphys/nanopore-ml-optical",
 "url": "https://github.com/llliphys/Nanopore-ML-Optical",
 "host": "github.com",
 "commit": "b321bcb9d0d660a12adcab71e0eef3b7bb1d2b4f",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "b10c50e266fd3c62ccee3b6078d9fc457cef3736d1e61e1bae6560d2ad1ea973",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 6,
   "row": 1849
  },
  {
   "path": "README.md",
   "sha256": "1931312523ee15c8daefcd90ecf61ca8a7d5ab415f8dbbb55ade65e05f690529",
   "language": "Text",
   "lines": 81,
   "truncated": false,
   "block": 8,
   "row": 9916
  },
  {
   "path": "dataload/loader.py",
   "sha256": "f1f9070c750d5b7b716fbfeed2a1a883b2a4f95b671033c65b6f5ffb009a7a18",
   "language": "Python",
   "lines": 113,
   "truncated": false,
   "block": 6,
   "row": 38927
  },
  {
   "path": "evaluation/metrics.py",
   "sha256": "9a779b3eba8f81068ce0874069cbcf78636840b260fa6fb3b50c73016967f8d8",
   "language": "Python",
   "lines": 65,
   "truncated": false,
   "block": 6,
   "row": 32191
  },
  {
   "path": "evaluation/shap_analysis.py",
   "sha256": "3c0d1d17c0f0b8e04854f3e8c41aa98013a226fc38615a37611259837c51a2d0",
   "language": "Python",
   "lines": 115,
   "truncated": false,
   "block": 6,
   "row": 38654
  },
  {
   "path": "features/preprocess.py",
   "sha256": "27e485f3d4140c6bde73baf3db171e4e9b6a695083def60ce00858073e8f005c",
   "language": "Python",
   "lines": 197,
   "truncated": false,
   "block": 6,
   "row": 43614
  },
  {
   "path": "inference/predict.py",
   "sha256": "30ae67d254d684ae5040054cbe470af50fce9265328c1846af722c566c013122",
   "language": "Python",
   "lines": 74,
   "truncated": false,
   "block": 6,
   "row": 32548
  },
  {
   "path": "main.py",
   "sha256": "1ffeb5a98151aee6ad949b20f0073a8b850390de3c74c6e2979aa450af88e9c2",
   "language": "Python",
   "lines": 431,
   "truncated": false,
   "block": 7,
   "row": 5826
  },
  {
   "path": "models/models.py",
   "sha256": "d9807d45940342ce530fcfa898fbba2bd5416f2e28ba4ad18c351d7978c3bbbe",
   "language": "Python",
   "lines": 63,
   "truncated": false,
   "block": 6,
   "row": 32154
  },
  {
   "path": "tests/conftest.py",
   "sha256": "a8ffc07128fbeede223546ecc3b63c5a4fd1082739f0bce7e4e91edfef6fc415",
   "language": "Python",
   "lines": 8,
   "truncated": false,
   "block": 6,
   "row": 21028
  },
  {
   "path": "tests/test_loader.py",
   "sha256": "83013ef428ad1d7a961ded73c043b05dedcf9bfc900843363cca76d0210206cb",
   "language": "Python",
   "lines": 74,
   "truncated": false,
   "block": 6,
   "row": 34983
  },
  {
   "path": "tests/test_metrics.py",
   "sha256": "cc1be6975ee1943c6ffdf9c6468dd1c1ade85198799a8aaaeff8542e723c90a7",
   "language": "Python",
   "lines": 37,
   "truncated": false,
   "block": 6,
   "row": 27484
  },
  {
   "path": "tests/test_models.py",
   "sha256": "97d3475a96bb49d4257cd6fc6b61f913b77b39321f4f3e1d5cf07999471860ba",
   "language": "Python",
   "lines": 23,
   "truncated": false,
   "block": 6,
   "row": 23074
  },
  {
   "path": "tests/test_predict.py",
   "sha256": "5a4de7dc44bd568c00314fbb9fb9fd8c952aef655decf6d5c9a725865baabd36",
   "language": "Python",
   "lines": 57,
   "truncated": false,
   "block": 6,
   "row": 29857
  },
  {
   "path": "tests/test_preprocess.py",
   "sha256": "c77e5457ad3269a122355e96685eb31d9de6ca2b3e68dee4e863ed30ae6d8f52",
   "language": "Python",
   "lines": 108,
   "truncated": false,
   "block": 6,
   "row": 36926
  },
  {
   "path": "tests/test_train.py",
   "sha256": "9992151c97a60a8969e420dab37d7a2bd42af47d331471534b959954ff0effbd",
   "language": "Python",
   "lines": 96,
   "truncated": false,
   "block": 6,
   "row": 36810
  },
  {
   "path": "training/train.py",
   "sha256": "6f62d9c6c3750ff0a11b0bdc4c117bb729279c62c1106bc6382c8d3429289a9a",
   "language": "Python",
   "lines": 122,
   "truncated": false,
   "block": 6,
   "row": 38136
  },
  {
   "path": "training/tune.py",
   "sha256": "70d60768c9c62d39aebfc0e90150a325a3b4d7a50967ca59740fa3a7e05c65cc",
   "language": "Python",
   "lines": 185,
   "truncated": false,
   "block": 6,
   "row": 43175
  },
  {
   "path": "visualiz/plot.py",
   "sha256": "d2163c3e9a7f1fda984017071322ba317da74ad663efce01a276ccaccfd25a98",
   "language": "Python",
   "lines": 441,
   "truncated": false,
   "block": 7,
   "row": 6495
  }
 ]
}