{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/bhartl/condevo",
 "url": "https://github.com/bhartl/CondEvo",
 "host": "github.com",
 "commit": "ae76bf0462de63fa6bf3bde97df7cc00237b8d1d",
 "license": "Apache-2.0",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "1a536e490a5cd75908cd58ea28575f8a6b9e4b22c1aecfd58f8bb74c6ee94917",
   "language": "License",
   "lines": 243,
   "truncated": false,
   "block": 6,
   "row": 2084
  },
  {
   "path": "README.md",
   "sha256": "bace3b9f97b3791352e5270d614d4be9ae0d793ea546e109f2ef0dc0b5a510fb",
   "language": "Text",
   "lines": 77,
   "truncated": false,
   "block": 8,
   "row": 10488
  },
  {
   "path": "condevo/__init__.py",
   "sha256": "5b38fa9776ec2c281b3b127875beab402e5b0d424e2397bae7980efcadf3ff40",
   "language": "Python",
   "lines": 8,
   "truncated": false,
   "block": 6,
   "row": 21537
  },
  {
   "path": "condevo/diffusion/__init__.py",
   "sha256": "b2eb78600ff8f33d36a6e96987e8c016026af2c7fbbb187cf51f863d5af88fc5",
   "language": "Python",
   "lines": 30,
   "truncated": false,
   "block": 6,
   "row": 24414
  },
  {
   "path": "condevo/diffusion/ddim.py",
   "sha256": "093d7d1e935df2f69e17adc6e3c87e46cc54f9f040cf373f1441f603546192f2",
   "language": "Python",
   "lines": 198,
   "truncated": false,
   "block": 7,
   "row": 1819
  },
  {
   "path": "condevo/diffusion/diffusion_model.py",
   "sha256": "8b1f1154fcd756c911f88ecd32d5e9cb9b0397a5446155c954aeb01216e5eb44",
   "language": "Python",
   "lines": 452,
   "truncated": false,
   "block": 7,
   "row": 8710
  },
  {
   "path": "condevo/diffusion/rectified_flow.py",
   "sha256": "b757d8fa3ddd642431824ebfc4318335aafe70005fa818ffeb6183987da5e2ee",
   "language": "Python",
   "lines": 134,
   "truncated": false,
   "block": 6,
   "row": 43708
  },
  {
   "path": "condevo/diffusion/v_prediction.py",
   "sha256": "ee3aa3aec9a4ba7c95ee45fddf75b5c703a9633c009f5cf86692c377f493716a",
   "language": "Python",
   "lines": 83,
   "truncated": false,
   "block": 6,
   "row": 36134
  },
  {
   "path": "condevo/diffusion/x_prediction.py",
   "sha256": "3b96e653578465d1db0592815e6833a37fcb8cf215b6c8579e7d707fddc7f529",
   "language": "Python",
   "lines": 130,
   "truncated": false,
   "block": 6,
   "row": 43866
  },
  {
   "path": "condevo/es/__init__.py",
   "sha256": "73e20bd0af2b2298d11ae0bee3668434b138054afc7122adca5ac5e9b2e4398b",
   "language": "Python",
   "lines": 15,
   "truncated": false,
   "block": 6,
   "row": 21866
  },
  {
   "path": "condevo/es/conditional_diffusion_es.py",
   "sha256": "a68e21e9807584ce88f144ba7bf3b54e52517d51a325b9d60980945fb6e3738f",
   "language": "Python",
   "lines": 273,
   "truncated": false,
   "block": 7,
   "row": 6397
  },
  {
   "path": "condevo/es/data/__init__.py",
   "sha256": "0e6058c51cc2d0c51db4c5c48e2e36c9d7938fdd2c71205b66d3a871aaf1eb79",
   "language": "Python",
   "lines": 6,
   "truncated": false,
   "block": 6,
   "row": 20512
  },
  {
   "path": "condevo/es/data/data_buffer.py",
   "sha256": "44488c60d3b36bb8a096d729ec12fec371da85c714d63e576b67976a2b0c2683",
   "language": "Python",
   "lines": 257,
   "truncated": false,
   "block": 7,
   "row": 2114
  },
  {
   "path": "condevo/es/guidance/__init__.py",
   "sha256": "d394b5529636ab9c0e2e8e01648dc76149075df060250ba16ade95b005e8adf0",
   "language": "Python",
   "lines": 10,
   "truncated": false,
   "block": 6,
   "row": 21650
  },
  {
   "path": "condevo/es/guidance/condition.py",
   "sha256": "922a19996e4b06bc055175ed4fe563daf9003aa7f6587e910bf222f2c2c8d7b7",
   "language": "Python",
   "lines": 51,
   "truncated": false,
   "block": 6,
   "row": 31744
  },
  {
   "path": "condevo/es/guidance/fitness_condition.py",
   "sha256": "ef4918e7baf7c457701e7d5900f093531059591b0c1c7242b8efecae036960b7",
   "language": "Python",
   "lines": 63,
   "truncated": false,
   "block": 6,
   "row": 35418
  },
  {
   "path": "condevo/es/guidance/knn_novelty_condition.py",
   "sha256": "176aa4176b4d395d45e43533a353aaea6c44ce4a3d7c0037ed47677e66fdf65b",
   "language": "Python",
   "lines": 113,
   "truncated": false,
   "block": 6,
   "row": 39337
  },
  {
   "path": "condevo/es/heuristical_diffusion_es.py",
   "sha256": "bec6307de2e536f6ec176b618e46853dcaa2bfa028000f65d310dc238c721463",
   "language": "Python",
   "lines": 617,
   "truncated": false,
   "block": 7,
   "row": 10576
  },
  {
   "path": "condevo/es/selection.py",
   "sha256": "b7af28c2dda6efc9b59c485affbd6f4c00a9e9f8bb9f78571a0ad403aa7964a1",
   "language": "Python",
   "lines": 205,
   "truncated": false,
   "block": 7,
   "row": 1990
  },
  {
   "path": "condevo/es/traditional_es.py",
   "sha256": "3af9366281f911835ce7d73a640ed99b10cd00de1196a159661acaaa9eb69385",
   "language": "Python",
   "lines": 660,
   "truncated": false,
   "block": 7,
   "row": 9799
  },
  {
   "path": "condevo/es/utils.py",
   "sha256": "1162aa238bdb52637f9b9649cf30efe415955c4ccd4c3d8789adc050909b4452",
   "language": "Python",
   "lines": 149,
   "truncated": false,
   "block": 6,
   "row": 41342
  },
  {
   "path": "condevo/logger.py",
   "sha256": "05e0f31b33e4234c9e539466cb5c150d9c0c11cc23c949d6ffadb1480ca157ce",
   "language": "Python",
   "lines": 89,
   "truncated": false,
   "block": 6,
   "row": 34913
  },
  {
   "path": "condevo/nn/__init__.py",
   "sha256": "da389f07c643dfd097494c92f867d1565540a837b1d7d2de5f07df6395e5a461",
   "language": "Python",
   "lines": 6,
   "truncated": false,
   "block": 6,
   "row": 21166
  },
  {
   "path": "condevo/nn/embeddings.py",
   "sha256": "0c4618829b936feb04b3366cac30514f6d0807de111104cdbb758da433bc6a43",
   "language": "Python",
   "lines": 27,
   "truncated": false,
   "block": 6,
   "row": 24442
  },
  {
   "path": "condevo/nn/multi_layer_perceptron.py",
   "sha256": "528136f40b58fe6dae02afe6dcf2107779947b6e7ac9701fc5fdf7fd7dfd2509",
   "language": "Python",
   "lines": 89,
   "truncated": false,
   "block": 6,
   "row": 39469
  },
  {
   "path": "condevo/nn/self_attention.py",
   "sha256": "867ab64ebe139d9aa0d85dc94a8c4cb7b0f2d922391569cf8a3f748d3041355c",
   "language": "Python",
   "lines": 146,
   "truncated": false,
   "block": 6,
   "row": 45149
  },
  {
   "path": "condevo/nn/unet.py",
   "sha256": "f3b56e65f92badfcc0dcf47a3c806f9e7a9593a443c9209b18bd523572582b9c",
   "language": "Python",
   "lines": 208,
   "truncated": false,
   "block": 6,
   "row": 45426
  },
  {
   "path": "condevo/preprocessing/__init__.py",
   "sha256": "e080c3a4a5fe7c7794e3e65a0748eb5786f2be287eeb91ea4c74d30ddce02fc8",
   "language": "Python",
   "lines": 10,
   "truncated": false,
   "block": 6,
   "row": 21099
  },
  {
   "path": "condevo/preprocessing/min_max_scaler.py",
   "sha256": "98fb491f50e865d0bd3506610fb225f012038f92a27457de1f9af9281b3ec6d9",
   "language": "Python",
   "lines": 91,
   "truncated": false,
   "block": 6,
   "row": 35654
  },
  {
   "path": "condevo/preprocessing/scaler.py",
   "sha256": "9459c6475db8eaba5fb838e5c4c8ccde6698706bea79a516fa47ea165923a56c",
   "language": "Python",
   "lines": 115,
   "truncated": false,
   "block": 6,
   "row": 40278
  },
  {
   "path": "condevo/preprocessing/standard_scaler.py",
   "sha256": "199a8b562afa85b4539408342649c65a785c329d3e2e6d5120b09e492bbd088b",
   "language": "Python",
   "lines": 70,
   "truncated": false,
   "block": 6,
   "row": 33219
  },
  {
   "path": "condevo/stats.py",
   "sha256": "4e9af708d2bf04c73825952eccf33b0b4dd68155442cb235772d694330010454",
   "language": "Python",
   "lines": 237,
   "truncated": false,
   "block": 6,
   "row": 45461
  },
  {
   "path": "condevo/utils.py",
   "sha256": "fc3b3be1ba28819236dc50304874294608c53551c3a9f0088a9e4bcb00c0f2f7",
   "language": "Python",
   "lines": 40,
   "truncated": false,
   "block": 6,
   "row": 25670
  },
  {
   "path": "examples/conditional/analysis.py",
   "sha256": "5cc09179d550ac66a3c199286fe29f332dd8a30c6337d01e04428f3326cdd78e",
   "language": "Python",
   "lines": 105,
   "truncated": false,
   "block": 6,
   "row": 37591
  },
  {
   "path": "examples/conditional/benchmark.py",
   "sha256": "6b8e6b00aa4c070d356b0a493a89069f4dded8b4c6a2780d71037dd9262d1771",
   "language": "Python",
   "lines": 427,
   "truncated": false,
   "block": 7,
   "row": 7721
  },
  {
   "path": "examples/conditional/conditional_evolution_examples.ipynb",
   "sha256": "7c95a343a448780868788792803d3209a20e1a3addbb874d7e9bcb569a79d9a9",
   "language": "Jupyter",
   "lines": 379,
   "truncated": false,
   "block": 6,
   "row": 344
  },
  {
   "path": "examples/conditional/conditional_evolution_examples_oscillatory-condition.ipynb",
   "sha256": "7170b1489c18b24a3feb0148e85e0dfe3dcb76cac5bb4ceb1a8fb7d57b9c4a2a",
   "language": "Jupyter",
   "lines": 275,
   "truncated": false,
   "block": 5,
   "row": 17741
  },
  {
   "path": "examples/conditional/configs.py",
   "sha256": "d404c57f916d4142a55cf85798b9ed11d691fe5096344a321c42b0ca25c54c65",
   "language": "Python",
   "lines": 109,
   "truncated": false,
   "block": 6,
   "row": 40973
  },
  {
   "path": "examples/conditional/dynamic-environment-examples.ipynb",
   "sha256": "a9cb54ba02bc2aae8429103df81766d71c72bac7c40a86e75d3f00178547247a",
   "language": "Jupyter",
   "lines": 244,
   "truncated": false,
   "block": 5,
   "row": 17470
  },
  {
   "path": "examples/conditional/fitness_conditional_sampling.py",
   "sha256": "02a658c033bb54496c1e9df5febcb073ab2efb88a74665d396508ffc478a921e",
   "language": "Python",
   "lines": 149,
   "truncated": false,
   "block": 6,
   "row": 42539
  },
  {
   "path": "examples/conditional/novelty_conditional_evolution-double_peak.ipynb",
   "sha256": "e2be2eaad1777c0bfd67346b1f7b3c18dca71806456ccf04aaba97643221ae7c",
   "language": "Jupyter",
   "lines": 428,
   "truncated": false,
   "block": 6,
   "row": 580
  },
  {
   "path": "examples/conditional/novelty_conditional_evolution-helixrastrigin.ipynb",
   "sha256": "f6ef719ffdd254ce70cf66386b315c05d0fb7acdfda984f685225b4e84b0b5ea",
   "language": "Jupyter",
   "lines": 441,
   "truncated": false,
   "block": 6,
   "row": 653
  },
  {
   "path": "examples/conditional/novelty_conditional_evolution-helixrastrigin_model-vs-buffer-sampling.ipynb",
   "sha256": "34eeb0e4ca6ccff449b2cacaac2fd17cd6751b5d98ab94157ecd56990e32e706",
   "language": "Jupyter",
   "lines": 492,
   "truncated": false,
   "block": 6,
   "row": 779
  },
  {
   "path": "examples/conditional/novelty_conditional_evolution-rastrigin.ipynb",
   "sha256": "133a01d03e8f425c11a5ba3b4a0aa8b33b95246ab0d409e7a3263cda3ce51a29",
   "language": "Jupyter",
   "lines": 449,
   "truncated": false,
   "block": 6,
   "row": 656
  },
  {
   "path": "examples/conditional/novelty_conditional_evolution-rastrigin_model-vs-buffer-sampling.ipynb",
   "sha256": "752421a57be07463b58bb28a7f842a27cf81aa6489c6e8042f2a7deec809e566",
   "language": "Jupyter",
   "lines": 484,
   "truncated": false,
   "block": 6,
   "row": 766
  },
  {
   "path": "examples/conditional/run_novelty.py",
   "sha256": "cfcb10df5f6d04f82df2f6f5631f2ac38d494a28a72ad955b946d8b7d4c10224",
   "language": "Python",
   "lines": 131,
   "truncated": false,
   "block": 6,
   "row": 39990
  },
  {
   "path": "examples/conditional/utils.py",
   "sha256": "7ed9a8858fb96e80a41546a77a70880e332541560f1b95aa4e9574c3d6c1121d",
   "language": "Python",
   "lines": 135,
   "truncated": false,
   "block": 6,
   "row": 41190
  },
  {
   "path": "examples/diffusion_evolution/parameter_diffusion.ipynb",
   "sha256": "5dd97349c4b21338f884b1267fde9b00305c54b590f99a4d65a95d95ff135f9e",
   "language": "Jupyter",
   "lines": 901,
   "truncated": false,
   "block": 6,
   "row": 928
  }
 ]
}