{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/oussama123-ai/pandia",
 "url": "https://github.com/oussama123-ai/pandia",
 "host": "github.com",
 "commit": "60bfd153f3c7389f907072ebdf32a88d6322b86d",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "723f76d65620cde5f737dc8bb9f8996fc670f5ecf939c3d16689e97a576c6d7f",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 6,
   "row": 1832
  },
  {
   "path": "README.md",
   "sha256": "b3ff4c47059e02ab5dfd9fffa926afe40b029d800d725ce83283ffd6d879fdbe",
   "language": "Text",
   "lines": 170,
   "truncated": false,
   "block": 8,
   "row": 10481
  },
  {
   "path": "pandia/__init__.py",
   "sha256": "8b9dcb9ec72fabc305556ee2d742331a014309d9f7b28902ff524914c59a8e43",
   "language": "Python",
   "lines": 9,
   "truncated": false,
   "block": 6,
   "row": 21320
  },
  {
   "path": "pandia/deployment/edge_inference.py",
   "sha256": "2f9ed61c87bad505c80c147d979b10bbcfc031f203c1f073369e77e7d43000a3",
   "language": "Python",
   "lines": 119,
   "truncated": false,
   "block": 6,
   "row": 39474
  },
  {
   "path": "pandia/deployment/ehr_interface.py",
   "sha256": "aaa674bae2fd74d09fb72442a5f01cbadc1064fbaa2d129b2e4a1c7b4b752f3c",
   "language": "Python",
   "lines": 116,
   "truncated": false,
   "block": 6,
   "row": 39562
  },
  {
   "path": "pandia/encoders/__init__.py",
   "sha256": "b03a6ac783723f7a36e8947f2a7e910cbb3a3fee55b7dea53fcfd1b01b88d64c",
   "language": "Python",
   "lines": 4,
   "truncated": false,
   "block": 6,
   "row": 21327
  },
  {
   "path": "pandia/encoders/audio_encoder.py",
   "sha256": "db4dd6bbce2b7e71ec60c2b055f387601772823e6cac57b18bba7327de93298d",
   "language": "Python",
   "lines": 27,
   "truncated": false,
   "block": 6,
   "row": 24957
  },
  {
   "path": "pandia/encoders/physio_encoder.py",
   "sha256": "001a9bbb73643843639e9b0c4704380acfd94c8186f122c3aa8bba8f08e2800b",
   "language": "Python",
   "lines": 27,
   "truncated": false,
   "block": 6,
   "row": 24801
  },
  {
   "path": "pandia/encoders/video_encoder.py",
   "sha256": "68dafab35991ec605d0c1fa113c23aad6e159fe551f6733fd91a075097d8f4a7",
   "language": "Python",
   "lines": 69,
   "truncated": false,
   "block": 6,
   "row": 34806
  },
  {
   "path": "pandia/evaluation/metrics.py",
   "sha256": "565b48c8ffe3e9007766b926421b48670a182c57a3d41bad6923756e365c911b",
   "language": "Python",
   "lines": 92,
   "truncated": false,
   "block": 6,
   "row": 36306
  },
  {
   "path": "pandia/models/__init__.py",
   "sha256": "70da2c03c05e07b038bfec59310357f4fcda029fa0b4c201799d40742c507ec0",
   "language": "Python",
   "lines": 10,
   "truncated": false,
   "block": 6,
   "row": 23175
  },
  {
   "path": "pandia/models/concept_bottleneck.py",
   "sha256": "4ed6ac33e912bf28fbea39c9dc79aeeb3ff7136773a14e5ba86a8a04690175a6",
   "language": "Python",
   "lines": 102,
   "truncated": false,
   "block": 6,
   "row": 38468
  },
  {
   "path": "pandia/models/evidential_output.py",
   "sha256": "98ac34116de171ce84a98e61ee4d53c7b42a9ca30982871c4f10c2d3e92263f6",
   "language": "Python",
   "lines": 37,
   "truncated": false,
   "block": 6,
   "row": 27961
  },
  {
   "path": "pandia/models/graph_reasoner.py",
   "sha256": "264da0fe0e1971f2307126e66af35335b937f8b072132d4051e02b96408b17ff",
   "language": "Python",
   "lines": 108,
   "truncated": false,
   "block": 6,
   "row": 38271
  },
  {
   "path": "pandia/models/meta_learner.py",
   "sha256": "ed4f78661e4be3df13648a80c585a0a2f07a17af3246073d606eec29f591c9eb",
   "language": "Python",
   "lines": 79,
   "truncated": false,
   "block": 6,
   "row": 34851
  },
  {
   "path": "pandia/models/pandia.py",
   "sha256": "a90082b75e513958a6eee4d0ea48b2ca1ad2687b30b5c089aa177c64b1f3a6c0",
   "language": "Python",
   "lines": 198,
   "truncated": false,
   "block": 7,
   "row": 1899
  },
  {
   "path": "pandia/models/symbolic_rules.py",
   "sha256": "9bcad4b3a3f9311f45e1960b29d10ecde0fd9cac781fc29acfcd7dc00ab0056a",
   "language": "Python",
   "lines": 220,
   "truncated": false,
   "block": 7,
   "row": 3021
  },
  {
   "path": "pandia/training/__init__.py",
   "sha256": "e3c01f3d354d42aa17db9af10d7417af3778177c58b6e00341daa168f5fcc76f",
   "language": "Python",
   "lines": 1,
   "truncated": false,
   "block": 6,
   "row": 20102
  },
  {
   "path": "pandia/training/federated.py",
   "sha256": "4bc5269bed68b040a8db282fda9c1c59c8e06a80d80856a12cb1e8091a537326",
   "language": "Python",
   "lines": 197,
   "truncated": false,
   "block": 7,
   "row": 1492
  },
  {
   "path": "pandia/training/losses.py",
   "sha256": "0a48949c5431a5842f0bdc64b5eeb135952ff323bac9798f9f7bd389408ea0f0",
   "language": "Python",
   "lines": 150,
   "truncated": false,
   "block": 6,
   "row": 42947
  },
  {
   "path": "pandia/training/trainer.py",
   "sha256": "1bf529b1130d534518ebf979e369c8422023bbd5874be8df2a346150945b8878",
   "language": "Python",
   "lines": 94,
   "truncated": false,
   "block": 6,
   "row": 38902
  },
  {
   "path": "pandia/utils/data_utils.py",
   "sha256": "1c0769b7363e051035ca0903ac5a753421fbb5e078d5441c6a5ab4c6e6421056",
   "language": "Python",
   "lines": 124,
   "truncated": false,
   "block": 6,
   "row": 41304
  },
  {
   "path": "preprocessing/preprocess.py",
   "sha256": "cd42de9f127bab1b579b975e2b23f0b082703a3f58316168c9e2a44e419253a2",
   "language": "Python",
   "lines": 140,
   "truncated": false,
   "block": 6,
   "row": 42699
  },
  {
   "path": "scripts/evaluate.py",
   "sha256": "9a41ac6280cb54e897ed0bce498d005247ae90d0863157b17142a9680cf18a8e",
   "language": "Python",
   "lines": 97,
   "truncated": false,
   "block": 6,
   "row": 38232
  },
  {
   "path": "scripts/export_edge_model.py",
   "sha256": "bf5624ecedd2abba5e5299a07fe0c91c33c48ce67b3a2354efd83ad7c0bd00c8",
   "language": "Python",
   "lines": 87,
   "truncated": false,
   "block": 6,
   "row": 37029
  },
  {
   "path": "scripts/federated_train.py",
   "sha256": "ca9affa76c2f73cccc7aab7b027899c2c645dd79acf1a2fb6bd2add3017e5551",
   "language": "Python",
   "lines": 98,
   "truncated": false,
   "block": 6,
   "row": 37364
  },
  {
   "path": "scripts/train.py",
   "sha256": "47a1a4015db3bcd0dc63cc83acbb153bf122287f0925acf56d1c6298452da140",
   "language": "Python",
   "lines": 84,
   "truncated": false,
   "block": 6,
   "row": 35814
  },
  {
   "path": "setup.py",
   "sha256": "3ceb186c7e76efd468ff326f3c9d10c7c3ea81f1ecb78393b44338fcdbb6dba1",
   "language": "Python",
   "lines": 16,
   "truncated": false,
   "block": 6,
   "row": 23051
  },
  {
   "path": "tests/test_pandia.py",
   "sha256": "75ecfebabfa2b346f59ef507c3b3944b525a6d3ec50c1d6f01e1b9e3afb6286a",
   "language": "Python",
   "lines": 222,
   "truncated": false,
   "block": 7,
   "row": 1372
  }
 ]
}