{ "format": "oscr-script-manifest/1", "repository": "github.com/amarquand/pcntoolkit", "url": "https://github.com/amarquand/PCNtoolkit", "host": "github.com", "commit": "73b19a0f900138281d3a29b9514f2cfc631662af", "license": "GPL-3.0", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "LICENSE", "sha256": "6323e4f7949aece19b6ae14e62f0e42a1de8d66e6ace79133e1dfa06ccf9994f", "language": "License", "lines": 674, "truncated": false, "block": 6, "row": 2134 }, { "path": "README.md", "sha256": "d3d4d2b920be708ac5a322e643301e89bf82aff26f78c77d1cce5a969f2b7a80", "language": "Text", "lines": 74, "truncated": false, "block": 8, "row": 10071 }, { "path": "doc/conf.py", "sha256": "ca790d22761c455db2e9ef7dc81886c25331be409fbf9abd8b5dc4692f726d8c", "language": "Python", "lines": 141, "truncated": false, "block": 6, "row": 40294 }, { "path": "doc/convert_notebooks.py", "sha256": "743308d35296675b807bfa738b74d55f201373584075dd4b6545e1f56468ecc3", "language": "Python", "lines": 228, "truncated": false, "block": 7, "row": 301 }, { "path": "doc/tutorials/notebooks/00_getting_started.ipynb", "sha256": "87d6f0be1810deaefcfc71139da3084f153ff2a37640a57fde8197d3dcb74de1", "language": "Jupyter", "lines": 126, "truncated": false, "block": 5, "row": 16603 }, { "path": "doc/tutorials/notebooks/01_loading_data.ipynb", "sha256": "3e5a3ad3e316b2a69d2e8489f6a44c6cf3d02e65c38086492c30745fa1d318c7", "language": "Jupyter", "lines": 253, "truncated": false, "block": 5, "row": 17503 }, { "path": "doc/tutorials/notebooks/02_BLR.ipynb", "sha256": "1cde637e3480e4eb76b7c7f2a35c0a80fc60cbfdc8533dde32e38f97bdd393bb", "language": "Jupyter", "lines": 508, "truncated": false, "block": 6, "row": 782 }, { "path": "doc/tutorials/notebooks/03_HBR_Normal.ipynb", "sha256": "680389152ab8c436ba541b76edfab693200a298fc258f03c85fe1ea19abee399", "language": "Jupyter", "lines": 443, "truncated": false, "block": 6, "row": 670 }, { "path": "doc/tutorials/notebooks/04_HBR_SHASH.ipynb", "sha256": "bc2d2e7e3e34afbf5dd82b8abbd3c1ff059f7b0c4afe85af63e0b7f4698c0a28", "language": "Jupyter", "lines": 515, "truncated": false, "block": 6, "row": 769 }, { "path": "doc/tutorials/notebooks/05_HBR_Beta.ipynb", "sha256": "8c0e13a6c512fd2a96699be74e219af40d693324b82a7229a27aa91e24962409", "language": "Jupyter", "lines": 485, "truncated": false, "block": 6, "row": 667 }, { "path": "doc/tutorials/notebooks/06_transfer_extend.ipynb", "sha256": "7aaea1dabd8d608a98dbc7d72be0d9f519c1099468b3e7759f6c8f812e2f9850", "language": "Jupyter", "lines": 269, "truncated": false, "block": 5, "row": 17517 }, { "path": "doc/tutorials/notebooks/07_model_comparison.ipynb", "sha256": "ca73740045d073e382cb7f2bb0dffa3ebbf6b24a5af0ba461d60e487fd2726e8", "language": "Jupyter", "lines": 220, "truncated": false, "block": 5, "row": 17542 }, { "path": "doc/tutorials/notebooks/08_cluster.ipynb", "sha256": "98b5942e1f0fe759bd44b985bb93ab7a5c2b629d0dfa083188d2662ed74f17bb", "language": "Jupyter", "lines": 215, "truncated": false, "block": 5, "row": 17417 }, { "path": "doc/tutorials/notebooks/09_command_line_interface.ipynb", "sha256": "13733540aaa54a09c10b9839e788ab0008a4c388ce6601a39730a939d57cef13", "language": "Jupyter", "lines": 224, "truncated": false, "block": 5, "row": 17240 }, { "path": "doc/tutorials/notebooks/10_merge.ipynb", "sha256": "774dca2b64cd3b68dfdda89a02319fd7f568163ba7e0a1b5dde89ed94d99088c", "language": "Jupyter", "lines": 209, "truncated": false, "block": 5, "row": 17411 }, { "path": "doc/tutorials/notebooks/11_composite_basis_function.ipynb", "sha256": "c6c66f431c039785051c2706f341dd7d852bdefc631ad4047e35f45442097ee1", "language": "Jupyter", "lines": 248, "truncated": false, "block": 5, "row": 17459 }, { "path": "doc/tutorials/notebooks/12_transfer_pretrained.ipynb", "sha256": "ac13bf716b061d4f8d0e7b22c1b435dea9c07ba90ca6bf65d852e5cf492689bb", "language": "Jupyter", "lines": 259, "truncated": false, "block": 5, "row": 17675 }, { "path": "doc/tutorials/notebooks/13_evaluation_metrics.ipynb", "sha256": "b81bd2379638f3b78dcb816bc31ba02dfe3721f70fc1e38c91749c344f14dbff", "language": "Jupyter", "lines": 288, "truncated": false, "block": 6, "row": 425 }, { "path": "doc/tutorials/notebooks/15_HBR_ZINB.ipynb", "sha256": "8594c08d7d0a19544b9353c96c031811eb84721567933eea54a7a3f0bd8b6b60", "language": "Jupyter", "lines": 300, "truncated": false, "block": 5, "row": 17647 }, { "path": "doc/tutorials/notebooks/15_longitudinal_modelling_loading_precomputed_matrix.ipynb", "sha256": "cbf260f4a628682090cae5f07e39b5add8e2ab8af96baadaea6531c918ece549", "language": "Jupyter", "lines": 175, "truncated": false, "block": 5, "row": 17172 }, { "path": "examples/00_getting_started.ipynb", "sha256": "87d6f0be1810deaefcfc71139da3084f153ff2a37640a57fde8197d3dcb74de1", "language": "Jupyter", "lines": 126, "truncated": false, "block": 5, "row": 16603 }, { "path": "examples/01_loading_data.ipynb", "sha256": "3e5a3ad3e316b2a69d2e8489f6a44c6cf3d02e65c38086492c30745fa1d318c7", "language": "Jupyter", "lines": 253, "truncated": false, "block": 5, "row": 17503 }, { "path": "examples/02_BLR.ipynb", "sha256": "1cde637e3480e4eb76b7c7f2a35c0a80fc60cbfdc8533dde32e38f97bdd393bb", "language": "Jupyter", "lines": 508, "truncated": false, "block": 6, "row": 782 }, { "path": "examples/03_HBR_Normal.ipynb", "sha256": "680389152ab8c436ba541b76edfab693200a298fc258f03c85fe1ea19abee399", "language": "Jupyter", "lines": 443, "truncated": false, "block": 6, "row": 670 }, { "path": "examples/04_HBR_SHASH.ipynb", "sha256": "bc2d2e7e3e34afbf5dd82b8abbd3c1ff059f7b0c4afe85af63e0b7f4698c0a28", "language": "Jupyter", "lines": 515, "truncated": false, "block": 6, "row": 769 }, { "path": "examples/05_HBR_Beta.ipynb", "sha256": "8c0e13a6c512fd2a96699be74e219af40d693324b82a7229a27aa91e24962409", "language": "Jupyter", "lines": 485, "truncated": false, "block": 6, "row": 667 }, { "path": "examples/06_transfer_extend.ipynb", "sha256": "7aaea1dabd8d608a98dbc7d72be0d9f519c1099468b3e7759f6c8f812e2f9850", "language": "Jupyter", "lines": 269, "truncated": false, "block": 5, "row": 17517 }, { "path": "examples/07_model_comparison.ipynb", "sha256": "ca73740045d073e382cb7f2bb0dffa3ebbf6b24a5af0ba461d60e487fd2726e8", "language": "Jupyter", "lines": 220, "truncated": false, "block": 5, "row": 17542 }, { "path": "examples/08_cluster.ipynb", "sha256": "98b5942e1f0fe759bd44b985bb93ab7a5c2b629d0dfa083188d2662ed74f17bb", "language": "Jupyter", "lines": 215, "truncated": false, "block": 5, "row": 17417 }, { "path": "examples/09_command_line_interface.ipynb", "sha256": "13733540aaa54a09c10b9839e788ab0008a4c388ce6601a39730a939d57cef13", "language": "Jupyter", "lines": 224, "truncated": false, "block": 5, "row": 17240 }, { "path": "examples/10_merge.ipynb", "sha256": "774dca2b64cd3b68dfdda89a02319fd7f568163ba7e0a1b5dde89ed94d99088c", "language": "Jupyter", "lines": 209, "truncated": false, "block": 5, "row": 17411 }, { "path": "examples/11_composite_basis_function.ipynb", "sha256": "c6c66f431c039785051c2706f341dd7d852bdefc631ad4047e35f45442097ee1", "language": "Jupyter", "lines": 248, "truncated": false, "block": 5, "row": 17459 }, { "path": "examples/12_transfer_pretrained.ipynb", "sha256": "ac13bf716b061d4f8d0e7b22c1b435dea9c07ba90ca6bf65d852e5cf492689bb", "language": "Jupyter", "lines": 259, "truncated": false, "block": 5, "row": 17675 }, { "path": "examples/13_evaluation_metrics.ipynb", "sha256": "b81bd2379638f3b78dcb816bc31ba02dfe3721f70fc1e38c91749c344f14dbff", "language": "Jupyter", "lines": 288, "truncated": false, "block": 6, "row": 425 }, { "path": "examples/14_longitudinal_modelling.ipynb", "sha256": "c9a09ea54dad518b23a609338802fca0e84e3a36fa30285d457c01b34b63e07c", "language": "Jupyter", "lines": 514, "truncated": false, "block": 6, "row": 597 }, { "path": "examples/15_HBR_ZINB.ipynb", "sha256": "8594c08d7d0a19544b9353c96c031811eb84721567933eea54a7a3f0bd8b6b60", "language": "Jupyter", "lines": 300, "truncated": false, "block": 5, "row": 17647 }, { "path": "examples/15_longitudinal_modelling_loading_precomputed_matrix.ipynb", "sha256": "cbf260f4a628682090cae5f07e39b5add8e2ab8af96baadaea6531c918ece549", "language": "Jupyter", "lines": 175, "truncated": false, "block": 5, "row": 17172 }, { "path": "pcntoolkit/__init__.py", "sha256": "b32ebdb372396760d56e9eab166945a8361f3d0991ad85d4f24c42a5c9dfb28f", "language": "Python", "lines": 59, "truncated": false, "block": 6, "row": 29569 }, { "path": "pcntoolkit/dataio/data_factory.py", "sha256": "7e39eebf9fe20b54275d361b1fa66204bce0240da3d09f82c120f229c495f80e", "language": "Python", "lines": 368, "truncated": false, "block": 7, "row": 5268 }, { "path": "pcntoolkit/dataio/fileio.py", "sha256": "70d2fec2098f224bff52043c2c3017552d16662a477c2c2c64867fb72e28acbd", "language": "Python", "lines": 560, "truncated": false, "block": 7, "row": 6863 }, { "path": "pcntoolkit/dataio/norm_data.py", "sha256": "d342cd1cbd998ec515b46b9cd8c5d646bc4fcafe88596e82c8d2d66267b99331", "language": "Python", "lines": 1723, "truncated": false, "block": 8, "row": 740 }, { "path": "pcntoolkit/longitudinal_score/__init__.py", "sha256": "425cc9e0d476312e5297ecc04bfa4f915d9020961e4fb0c4687429f83c7151d0", "language": "Python", "lines": 9, "truncated": false, "block": 6, "row": 21170 }, { "path": "pcntoolkit/longitudinal_score/longitudinal_score.py", "sha256": "670e794ef9484523bcecb3e3e09b13bcbca97f96f5cbcda635bde655d27448b0", "language": "Python", "lines": 121, "truncated": false, "block": 6, "row": 40018 }, { "path": "pcntoolkit/longitudinal_score/zdiff_score.py", "sha256": "51a0461d31a05020b1ff754a96514d7012d76408aa373b7b8940fb8ac343ab43", "language": "Python", "lines": 253, "truncated": false, "block": 7, "row": 3511 }, { "path": "pcntoolkit/longitudinal_score/zgain_score.py", "sha256": "9e15e8e61d1caf606e865021ba562cec82554d89a23b8b694f0d865133c0ff64", "language": "Python", "lines": 252, "truncated": false, "block": 7, "row": 3665 }, { "path": "pcntoolkit/math_functions/basis_function.py", "sha256": "aafb13a2ceba34e12e234a83b949068161029983e9032d8ad74911c557b9914d", "language": "Python", "lines": 528, "truncated": false, "block": 7, "row": 7658 }, { "path": "pcntoolkit/math_functions/correlation_matrix.py", "sha256": "fd66708c392a78a2dc53acf6d58ee63f1b9565c05c86effd433a23815986ef70", "language": "Python", "lines": 327, "truncated": false, "block": 7, "row": 4671 }, { "path": "pcntoolkit/math_functions/factorize.py", "sha256": "aeef5f91fd34a41eac01830ef1fe437954ed406471835c2b2c7a278adee686a2", "language": "Python", "lines": 49, "truncated": false, "block": 6, "row": 28359 }, { "path": "pcntoolkit/math_functions/likelihood.py", "sha256": "78e2b0419d4fdcd43dce28cfd901a55a72fdb50229bc1c2215266dc536ea0421", "language": "Python", "lines": 982, "truncated": false, "block": 7, "row": 11237 }, { "path": "pcntoolkit/math_functions/prior.py", "sha256": "465f6cf087c9d91fda66524b8411640cbcef5ac8800cfa5271c12d64ee3e9473", "language": "Python", "lines": 617, "truncated": false, "block": 7, "row": 9524 }, { "path": "pcntoolkit/math_functions/scaler.py", "sha256": "24a71d5a0bf1f93a98ed5f7050f97b8ce6d9a19450655782d535825454608c44", "language": "Python", "lines": 530, "truncated": false, "block": 7, "row": 7692 }, { "path": "pcntoolkit/math_functions/shash.py", "sha256": "e8ab4cda82219bb62921b977b3cf02fb8940af4ab3ed2baf8bc3711a142a89f0", "language": "Python", "lines": 401, "truncated": false, "block": 7, "row": 4888 }, { "path": "pcntoolkit/math_functions/velocity.py", "sha256": "2c58bf69887fc6ae4af9d72d8c60ca3f5e85465a1abb49c68e42856bff687b61", "language": "Python", "lines": 973, "truncated": false, "block": 7, "row": 11651 }, { "path": "pcntoolkit/math_functions/warp.py", "sha256": "7b55869c837895cade350275360eaf1e89d6fba570b6daafaf60262aa36981e1", "language": "Python", "lines": 688, "truncated": false, "block": 7, "row": 8619 }, { "path": "pcntoolkit/normative.py", "sha256": "5e5b2769542fb47d5e8e3c8b5f67d3564837e0bd7af5bb4285cf6f92f1a6559e", "language": "Python", "lines": 259, "truncated": false, "block": 7, "row": 1218 }, { "path": "pcntoolkit/normative_model.py", "sha256": "a57111c6944a8ff185d403df2ee6decbc83222b13f411f53ff152d7f10b12874", "language": "Python", "lines": 1320, "truncated": false, "block": 8, "row": 478 }, { "path": "pcntoolkit/regression_model/blr.py", "sha256": "e7723273d3c1055e09cccb22a590162209e02451f477479814e4e29e9a30b393", "language": "Python", "lines": 1161, "truncated": false, "block": 7, "row": 11858 }, { "path": "pcntoolkit/regression_model/factory.py", "sha256": "3483960c503520addba5610293739f274f558e24891596720b7d9f3f12d8c2e7", "language": "Python", "lines": 188, "truncated": false, "block": 6, "row": 42396 }, { "path": "pcntoolkit/regression_model/hbr.py", "sha256": "afe7c9d4e47cd3c4cd83d148b9b2811a8e34ad8ecb25c4ef4b4189317935316f", "language": "Python", "lines": 697, "truncated": false, "block": 7, "row": 9805 }, { "path": "pcntoolkit/regression_model/regression_model.py", "sha256": "af405ff9c096ff28ae60d358260999c0e2adc600bcb92d77b33014655b692780", "language": "Python", "lines": 294, "truncated": false, "block": 7, "row": 1137 }, { "path": "pcntoolkit/regression_model/test_model.py", "sha256": "447a87ce2836f49867e9cd7416ec5fa65ecf02a1b17dba95c3ecae0a04763b5e", "language": "Python", "lines": 61, "truncated": false, "block": 6, "row": 33030 }, { "path": "pcntoolkit/util/autoscale_plot.py", "sha256": "fbd0435b3c0a843d166552ac1a01afd8877be87240ac979933798bc57c79dd8e", "language": "Python", "lines": 66, "truncated": false, "block": 6, "row": 32817 }, { "path": "pcntoolkit/util/data_utils.py", "sha256": "c26e92c29f635282b7120cf715521de833a28863642499fcf72bb89431b141e3", "language": "Python", "lines": 80, "truncated": false, "block": 6, "row": 35338 }, { "path": "pcntoolkit/util/evaluator.py", "sha256": "53e40b2471f72ca68e13bbe36395afc0e9ab7c4cda5ffa08222a9fb615310a57", "language": "Python", "lines": 769, "truncated": false, "block": 7, "row": 10156 }, { "path": "pcntoolkit/util/job_observer.py", "sha256": "263b16fa3d4ea9fff7e058bb8847493bde9fd5fb3094b4adc180644672b30d72", "language": "Python", "lines": 203, "truncated": false, "block": 7, "row": 738 }, { "path": "pcntoolkit/util/migration.py", "sha256": "8c807d795141903cace4a59d08dd57e4d6115c5f75d3a95791c56543dc607099", "language": "Python", "lines": 374, "truncated": false, "block": 7, "row": 5261 }, { "path": "pcntoolkit/util/model_comparison.py", "sha256": "592093ff15e3c3a6838ec03eb7b6bf4069cfb4a4787b77e408803a931e649ef2", "language": "Python", "lines": 42, "truncated": false, "block": 6, "row": 28698 }, { "path": "pcntoolkit/util/output.py", "sha256": "f919faa18021b40a00d39145203c9fdbc44fc1a5a961030cff5726fc203c7e85", "language": "Python", "lines": 351, "truncated": false, "block": 7, "row": 8296 }, { "path": "pcntoolkit/util/paths.py", "sha256": "f462ca96bd9da96d0a03a7010e8ca95b4710061dedb6a4477cc2ca9f69e57236", "language": "Python", "lines": 127, "truncated": false, "block": 6, "row": 36380 }, { "path": "pcntoolkit/util/plotter.py", "sha256": "8ba2890a6e2575a2328b2b95884a362f42cf7b5032774bd3f5d959b87a713536", "language": "Python", "lines": 1441, "truncated": false, "block": 8, "row": 272 }, { "path": "pcntoolkit/util/runner.py", "sha256": "b1e264b9c63de955361af1c99274d2c86557ab854071ecbc211940ac38f65bc6", "language": "Python", "lines": 1028, "truncated": false, "block": 8, "row": 44 }, { "path": "render_citation.py", "sha256": "e86ece40f6951f67d1c2c5bcb2465d1e46037bee1b078a1e97bb9e4463694d65", "language": "Python", "lines": 395, "truncated": false, "block": 7, "row": 4299 }, { "path": "test/conftest.py", "sha256": "08466c88c1edf28619a6d6aa19ffe17828ea0098990524e9ab160929b7a972c7", "language": "Python", "lines": 132, "truncated": false, "block": 6, "row": 37996 }, { "path": "test/fixtures/blr_model_fixtures.py", "sha256": "af10bbd34d322147603aa1ffbdf21060ed760966a45bff8dad7192ccbf3bc4c4", "language": "Python", "lines": 184, "truncated": false, "block": 6, "row": 41746 }, { "path": "test/fixtures/data_fixtures.py", "sha256": "3f3368b3d1d8ee99b5a7a9a4be55f2759e35b292dc41afe0dc684f17c0490337", "language": "Python", "lines": 163, "truncated": false, "block": 6, "row": 40827 }, { "path": "test/fixtures/evaluator_fixtures.py", "sha256": "104ec20f029a50f4d289b438257ebad11751696535fd21792e1e7108e020da51", "language": "Python", "lines": 117, "truncated": false, "block": 6, "row": 36773 }, { "path": "test/fixtures/hbr_model_fixtures.py", "sha256": "183e3d17d7d2126391a7738a2655fe22959fdfa88483fcb0d2aead6dcc5f2d05", "language": "Python", "lines": 108, "truncated": false, "block": 6, "row": 36534 }, { "path": "test/fixtures/norm_data_fixtures.py", "sha256": "9cc9ea244fa921896f77af30d7822c77c28b96c2e716d05e51434475e39afe69", "language": "Python", "lines": 57, "truncated": false, "block": 6, "row": 30783 }, { "path": "test/fixtures/path_fixtures.py", "sha256": "f76f8311ba93d88d45fa89735ed086eb3831fd09f34b2686af554df0d1f2dbb5", "language": "Python", "lines": 117, "truncated": false, "block": 6, "row": 39003 }, { "path": "test/fixtures/plotter_fixtures.py", "sha256": "470a293bb664a05fae061750b152739f4d1ae0c51dfefea2c94c47d0c173c01b", "language": "Python", "lines": 63, "truncated": false, "block": 6, "row": 30678 }, { "path": "test/fixtures/test_model_fixtures.py", "sha256": "2040ea63c5688b030fb8a099e513b10aa700af5b629556e29fc6fc45438c308f", "language": "Python", "lines": 48, "truncated": false, "block": 6, "row": 28475 }, { "path": "test/test_cli/__init__.py", "sha256": "716cfb56927e1d6146da3e20b81de2f504a97db394ed0b71a836b5e3c8aeb2fe", "language": "Python", "lines": 1, "truncated": false, "block": 6, "row": 20177 }, { "path": "test/test_cli/test_basic_commands.py", "sha256": "2add6de98c99448bcb190517a70bfda29098711d290b90cc65fbd62efcc1b14b", "language": "Python", "lines": 142, "truncated": false, "block": 6, "row": 45298 }, { "path": "test/test_cli/test_error_handling.py", "sha256": "044961320ea559666ef89c894e5fdb2df5bf3355a5d0c4aa8dc4cf28c0d06b4a", "language": "Python", "lines": 65, "truncated": false, "block": 6, "row": 35180 }, { "path": "test/test_core/__init__.py", "sha256": "21b0eb6acf92c7f4ae4691a4874708dba9397ba3e0b43e907a4b99567f8883ec", "language": "Python", "lines": 1, "truncated": false, "block": 6, "row": 20295 }, { "path": "test/test_core/test_data_io.py", "sha256": "a23ccbf8757de8247b72612a1fc5265cd9bd4be0aaf52bb975e56bb5dc0c5e82", "language": "Python", "lines": 133, "truncated": false, "block": 6, "row": 43834 }, { "path": "test/test_core/test_norm_factory.py", "sha256": "be6ed57b54fcc4736df7f000528297bda5971f7ff754379e91cc04b149c59f9d", "language": "Python", "lines": 64, "truncated": false, "block": 6, "row": 32470 }, { "path": "test/test_core/test_normative_model_main.py", "sha256": "088d68a6e93cfad6d9262465ddd4ca070c147a58f366334d42f7e7c5d60fe39b", "language": "Python", "lines": 124, "truncated": false, "block": 6, "row": 39445 }, { "path": "test/test_core/test_pretrained_model.py", "sha256": "2179701360af30abd41605a53ccf7634cb008bdc69e0af0b87dc450248df98e5", "language": "Python", "lines": 184, "truncated": false, "block": 6, "row": 43937 }, { "path": "test/test_core/test_regression_models.py", "sha256": "508dfcfed2bb701fc72a9c3d033eb39a2cd1e4b688cc55c62938dee1de2e32b2", "language": "Python", "lines": 275, "truncated": false, "block": 7, "row": 4079 }, { "path": "test/test_core/test_utils.py", "sha256": "e21e9bdf0374b32e2eecf8ebd9cd018c469c6996729fc54b2c57be01a62b15fa", "language": "Python", "lines": 180, "truncated": false, "block": 7, "row": 386 }, { "path": "test/test_dataio/test_normdata.py", "sha256": "0c239aa69594db0ce346eec18c441139fdc3539dec7fafa8d50ec2075a087462", "language": "Python", "lines": 261, "truncated": false, "block": 7, "row": 3921 }, { "path": "test/test_longitudinal/conftest.py", "sha256": "b35078ab68749dc5d45eebba2a4886e82f63cddcbcba4dbd655f22e9831375a5", "language": "Python", "lines": 428, "truncated": false, "block": 7, "row": 5946 }, { "path": "test/test_longitudinal/test_scoring.py", "sha256": "9bbeb109b944b9bc5379ad81a816c136605146faf6617b4479c25be8d10e6629", "language": "Python", "lines": 438, "truncated": false, "block": 7, "row": 6969 }, { "path": "test/test_longitudinal/test_thrivelines.py", "sha256": "2f2846d974299cfeaec8c58f474e6854e8036c4055a8e803babedbb008238552", "language": "Python", "lines": 324, "truncated": false, "block": 7, "row": 3578 }, { "path": "test/test_longitudinal/test_validation.py", "sha256": "8cb0baaf0caf8ee1d17f862e62e5b401f2277bf25b40622ee0a7e672e13962f8", "language": "Python", "lines": 65, "truncated": false, "block": 6, "row": 32633 }, { "path": "test/test_math/test_basis_functions.py", "sha256": "5eaf45981faf43f30f463ee9d1a5aa0416357023437fbe75ad19134c2911b52c", "language": "Python", "lines": 107, "truncated": false, "block": 6, "row": 37545 }, { "path": "test/test_math/test_factorize.py", "sha256": "385c1e2779e2cb1fa36898e8db58001b9036f89e73557795303ba70dd13c2f14", "language": "Python", "lines": 165, "truncated": false, "block": 7, "row": 1000 }, { "path": "test/test_math/test_likelihood.py", "sha256": "3867da14b65599d9f649c851f39ab5575ebe101f6d925212b7b9a199c2275ba9", "language": "Python", "lines": 261, "truncated": false, "block": 7, "row": 1225 }, { "path": "test/test_math/test_prior.py", "sha256": "1000f32851f051b988fbe07ad96f441428c23b8bc991a1b69a62473d6a25511e", "language": "Python", "lines": 93, "truncated": false, "block": 6, "row": 37256 }, { "path": "test/test_math/test_velocity.py", "sha256": "c8f19096bd91fa87945b12de8b437d6912af3c1e41e5df61b3bd1a3baf00c724", "language": "Python", "lines": 211, "truncated": false, "block": 6, "row": 44666 }, { "path": "test/test_math/test_warp.py", "sha256": "52ec29b25fd8016e220e6a041e87e23b6ea032e50aacefdc3052eca21483355a", "language": "Python", "lines": 101, "truncated": false, "block": 6, "row": 37050 }, { "path": "test/test_norm/test_norm_factory.py", "sha256": "4ba3700b584f5cc93c3be825c5db96f9177537909e565f80dadcd0707dab40ff", "language": "Python", "lines": 37, "truncated": false, "block": 6, "row": 29245 }, { "path": "test/test_norm/test_normative_model_helper.py", "sha256": "8bc18ba591180c3628a19ed78bcc74415319c2262523b8965485c12e9eb76266", "language": "Python", "lines": 371, "truncated": false, "block": 7, "row": 5851 }, { "path": "test/test_norm/test_normative_model_transfer.py", "sha256": "db83387fc6726743ad644bdc5a27fd3096961c33c2ed7f985caf45a698daf7c5", "language": "Python", "lines": 195, "truncated": false, "block": 6, "row": 42937 }, { "path": "test/test_normative.py", "sha256": "9385d174e60bc54add18a4ae6fe4a7e47862dc26cd88fbdb44fba1d799ba7f43", "language": "Python", "lines": 22, "truncated": false, "block": 6, "row": 26971 }, { "path": "test/test_regression_models/test_blr.py", "sha256": "0c5c12884d1947c25fb5a993ac37d9336efdfe3cce55ca397776192d156962ba", "language": "Python", "lines": 204, "truncated": false, "block": 6, "row": 45265 }, { "path": "test/test_regression_models/test_hbr.py", "sha256": "68eb0a8b775b6d0d4c55aa9eb9594922324c70f5f907a5af9cd335101821e1ed", "language": "Python", "lines": 561, "truncated": false, "block": 7, "row": 9518 }, { "path": "test/test_util/test_mace.py", "sha256": "e01f9e2c57cac41d3d7e8ebed97167965573455632fad2d8ca5c18bba84900db", "language": "Python", "lines": 119, "truncated": false, "block": 6, "row": 37729 }, { "path": "test/test_util/test_migration.py", "sha256": "b5c3faa284ea2591aac896c48bc37510db23eb99adda7b732d21ef9fb78929aa", "language": "Python", "lines": 191, "truncated": false, "block": 6, "row": 44217 }, { "path": "test/test_util/test_msll.py", "sha256": "c84157806d83d67381fb4c65826e5506c2849ff8455d1fec4caf8555c8c6bae6", "language": "Python", "lines": 60, "truncated": false, "block": 6, "row": 32404 }, { "path": "test/test_util/test_plotter.py", "sha256": "f8accc6aff093463b33599ca0d9e2762d17754ba979b156e81626100a0cb5518", "language": "Python", "lines": 86, "truncated": false, "block": 6, "row": 34799 }, { "path": "test/test_util/test_runner.py", "sha256": "904d061785de6d4ffac3457e16323de608c8f2f6c8a9ccbca3ac5381b09f6192", "language": "Python", "lines": 260, "truncated": false, "block": 7, "row": 3652 }, { "path": "test/test_util/test_skewness_kurtosis.py", "sha256": "dae5bbef38cc8cfb0b6dcd8c0f0c413eb72d8ae2a884f90f759edf58c794fbef", "language": "Python", "lines": 214, "truncated": false, "block": 6, "row": 43791 } ] }