Database / manifests /30 /github.com__pmckenz1__simcat.json
opsecsystems's picture
Scripts of 2026-09-29: 4 new block(s), 1817 manifest(s), 0 removed (part 2)
4c3c07f verified
Raw History Blame Contribute Delete
8.83 kB
{
"format": "oscr-script-manifest/1",
"repository": "github.com/pmckenz1/simcat",
"url": "https://github.com/pmckenz1/simcat",
"host": "github.com",
"commit": "c950cf10b4a496aed9bdedce0d57c6944dfaf771",
"license": "GPL-3.0",
"license_confirmed_by": "license file LICENSE",
"redistribution": "yes",
"files": [
{
"path": "LICENSE",
"sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",
"language": "License",
"lines": 674,
"truncated": false,
"block": 1,
"row": 2235
},
{
"path": "README.md",
"sha256": "123d8523675fbbcd1287ac88c8ce15309f41155f731afa4b38305c2f85a0abc0",
"language": "Text",
"lines": 160,
"truncated": false,
"block": 8,
"row": 10437
},
{
"path": "deprecated/source/conf.py",
"sha256": "2750cfb9a04c2b23529cc02477fad54edd3bd07e211ecb893289ebded8292258",
"language": "Python",
"lines": 172,
"truncated": false,
"block": 6,
"row": 41789
},
{
"path": "deprecated/source/docs/notebooks/Tutorial.ipynb",
"sha256": "b26d011a7895e79a7fe18dc61e3649eae4cd4c1b15b229346d84b722fd384584",
"language": "Jupyter",
"lines": 60,
"truncated": false,
"block": 5,
"row": 16195
},
{
"path": "deprecated/source/docs/notebooks/batch_training_example.ipynb",
"sha256": "6f1f6f62b2962837458f13eae9ac224e9bb0e2c349fab02c0d21b592b3935515",
"language": "Jupyter",
"lines": 62,
"truncated": false,
"block": 5,
"row": 16273
},
{
"path": "deprecated/source/docs/notebooks/simcat_slurm.ipynb",
"sha256": "eb9177e2e78c2b0cc4069aa7a7d1755f35f71e3f2722a940e3e967cda3de9318",
"language": "Jupyter",
"lines": 174,
"truncated": false,
"block": 5,
"row": 16956
},
{
"path": "deprecated/tests/ML-1-PCA.ipynb",
"sha256": "419a4701ef52d8399942ed11d5fed0ed110cc7d74704502bf3cdd7b4d9312640",
"language": "Jupyter",
"lines": 532,
"truncated": false,
"block": 6,
"row": 517
},
{
"path": "deprecated/tests/ML-2-Support-vector-machines.ipynb",
"sha256": "24bb9a1f987e96e0456ae8cf31615a0e78f9a061bf9b07ed4bdb7a5bc7caa5cd",
"language": "Jupyter",
"lines": 192,
"truncated": false,
"block": 5,
"row": 16784
},
{
"path": "deprecated/tests/ML-3-Clustering.ipynb",
"sha256": "c79905d75362c0395028b7de6a3afd3954f7aaee570a574249f6f5696c5bded7",
"language": "Jupyter",
"lines": 407,
"truncated": false,
"block": 6,
"row": 53
},
{
"path": "deprecated/tests/ML-class.ipynb",
"sha256": "4fec263e9f5581bd01898fcc9378971b82a1c459d6f44a7a788ed79b8e732b5f",
"language": "Jupyter",
"lines": 251,
"truncated": false,
"block": 5,
"row": 17001
},
{
"path": "deprecated/tests/matrix-figures-demo.ipynb",
"sha256": "3fe8d0c292689b5dd234e33b08c4e60ebef97cca85f884bb296ff362942f5a4c",
"language": "Jupyter",
"lines": 134,
"truncated": false,
"block": 5,
"row": 16940
},
{
"path": "deprecated/tests/matrix-figures-functions.ipynb",
"sha256": "6a7bead4b4de37f2ec4def8b7cb8608a9c97807864f9f0c03b0004cb4e1284a3",
"language": "Jupyter",
"lines": 180,
"truncated": false,
"block": 5,
"row": 16679
},
{
"path": "deprecated/tests/matrix-figures.ipynb",
"sha256": "38bdbd720ead1f29d6cada640a8a0d200f92936a75ec52cc3dcf11b10d7d8235",
"language": "Jupyter",
"lines": 213,
"truncated": false,
"block": 5,
"row": 16885
},
{
"path": "deprecated/tests/simcat-Analysis.ipynb",
"sha256": "d607eee9c86922dee87b63d7e5e165ad903bc7c180761f126fc52dd7bfc663b4",
"language": "Jupyter",
"lines": 204,
"truncated": false,
"block": 5,
"row": 16678
},
{
"path": "deprecated/tests/simcat-Database-1.ipynb",
"sha256": "1101b5c148219384e5ff88e7105574bc83ac48e464e58493bf5b9aa9fecc0682",
"language": "Jupyter",
"lines": 110,
"truncated": false,
"block": 5,
"row": 16461
},
{
"path": "deprecated/tests/simcat-Database-ipcoal.ipynb",
"sha256": "c53c4b225906f832bd0384b38d6f253489ae40b380c6bc3384a16bc1c2090d3d",
"language": "Jupyter",
"lines": 385,
"truncated": false,
"block": 5,
"row": 17304
},
{
"path": "deprecated/tests/simcat-Database.ipynb",
"sha256": "0be54d46ad1c04d2d1fc2aadf3c513b22ea9884f78f456746ec62e7247dde301",
"language": "Jupyter",
"lines": 58,
"truncated": false,
"block": 5,
"row": 16125
},
{
"path": "deprecated/tests/simcat-Model.ipynb",
"sha256": "341cf2198b6f3f01abba0e178a007981a8d2c8668d3213f5d05a10062fbb2eba",
"language": "Jupyter",
"lines": 409,
"truncated": false,
"block": 5,
"row": 17737
},
{
"path": "deprecated/tests/simcat-tuba.ipynb",
"sha256": "16e44285d5d8ef93149fe23f5bd9f55a6b2d6175b9446af3ecbd3f68de5d2b71",
"language": "Jupyter",
"lines": 185,
"truncated": false,
"block": 5,
"row": 16621
},
{
"path": "notebooks/HPC_slurm_demo.ipynb",
"sha256": "2528cbbaf4f7fa71268fa20be1b98ca341c46a7d314e6e02f97f0175836dcb75",
"language": "Jupyter",
"lines": 139,
"truncated": false,
"block": 5,
"row": 16801
},
{
"path": "notebooks/simcat_demo.ipynb",
"sha256": "34abffb2d054f67e38fa986b4c0dc4e01465c2511d8e47fc42a69ddd2c38c477",
"language": "Jupyter",
"lines": 155,
"truncated": false,
"block": 5,
"row": 16624
},
{
"path": "setup.py",
"sha256": "12b3741f68ac7d7dd86c3f433d198208b50adb229c1c316956e43f0601ad1eeb",
"language": "Python",
"lines": 53,
"truncated": false,
"block": 6,
"row": 29437
},
{
"path": "simcat/BatchTrain.py",
"sha256": "f11ed4c330fdd8b1bc2d6c8cbba4029e10322cecadb27f6bd71f4d8f2989595c",
"language": "Python",
"lines": 586,
"truncated": false,
"block": 7,
"row": 9637
},
{
"path": "simcat/Database.py",
"sha256": "85640a27ed76ea5f450372e6877605ac9ee2adf57ffc0c2a9f8bc1811f99cb0c",
"language": "Python",
"lines": 505,
"truncated": false,
"block": 7,
"row": 8585
},
{
"path": "simcat/Simulator.py",
"sha256": "c927cb49fc00cab8793985e555215be955867a12b64e61af2f18743f4abaf2c2",
"language": "Python",
"lines": 525,
"truncated": false,
"block": 7,
"row": 7628
},
{
"path": "simcat/__init__.py",
"sha256": "e70f34cc0db582d1dc4d6e78f8a3a4334621f716f86806e7edf2ea3692bf822a",
"language": "Python",
"lines": 26,
"truncated": false,
"block": 6,
"row": 24585
},
{
"path": "simcat/jitted.py",
"sha256": "be588a94d82fc4f370e017fc799e3b0a20e91fa3e23098b40445f4b1189975a1",
"language": "Python",
"lines": 93,
"truncated": false,
"block": 6,
"row": 34905
},
{
"path": "simcat/parallel.py",
"sha256": "eb7bfed114d83bb30e139099c1e6c3587d7aaceae4a5a96695fe00904a265378",
"language": "Python",
"lines": 399,
"truncated": false,
"block": 7,
"row": 5709
},
{
"path": "simcat/plot.py",
"sha256": "2d0dcce7a1a5d5809725fc3d84098a9836e6c72cc967cff243fdeb9136a88ed6",
"language": "Python",
"lines": 502,
"truncated": false,
"block": 7,
"row": 6143
},
{
"path": "simcat/utils.py",
"sha256": "c2668d5b43661d4bcf9891a3436c7172113147102094d7554255d5965b39cc05",
"language": "Python",
"lines": 417,
"truncated": false,
"block": 7,
"row": 4842
},
{
"path": "tests/test_database.py",
"sha256": "529e1416a407eb5c8f0ef8a2ae9e9804e150872802ddb11fed8cce5dfc311d89",
"language": "Python",
"lines": 110,
"truncated": false,
"block": 6,
"row": 37396
},
{
"path": "tests/test_documentation.py",
"sha256": "e91fbdcc6f4cef3d78c1e9376d84fbe140f07c436540dd3b0e74426db9a58521",
"language": "Python",
"lines": 32,
"truncated": false,
"block": 6,
"row": 25881
},
{
"path": "tests/test_features.py",
"sha256": "c1d0fdcecb1bc255741e8f4bbcc7a8743f687cc1053ccd687b13ef74aa35c61a",
"language": "Python",
"lines": 35,
"truncated": false,
"block": 6,
"row": 26223
},
{
"path": "tests/test_integration.py",
"sha256": "196f2d8e3b1d6363f6bbccbf10c6f214342d7a5e0f012cfd28fcc9b1962feb13",
"language": "Python",
"lines": 89,
"truncated": false,
"block": 6,
"row": 33822
},
{
"path": "tests/test_parallel.py",
"sha256": "eb4914a561ef11d8a7ead236b3526193f084cd92246518d8b97f6863d5d2bbfc",
"language": "Python",
"lines": 32,
"truncated": false,
"block": 6,
"row": 24170
},
{
"path": "tests/test_public_api.py",
"sha256": "24f9d415862ed692c8ee2a2be1f9ce503bd7a69d0a9e67517ad37ae7590b3688",
"language": "Python",
"lines": 61,
"truncated": false,
"block": 6,
"row": 28646
},
{
"path": "tests/test_simulator.py",
"sha256": "6f6f6d81aac2b8a98ce70e3ec335564c044902f6f1899ae14bc53a734e973e53",
"language": "Python",
"lines": 76,
"truncated": false,
"block": 6,
"row": 30865
}
]
}