Download manifests/07/github.com__computationalpsychiatry__pyhgf.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 44 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/07/github.com__computationalpsychiatry__pyhgf.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/07/github.com__computationalpsychiatry__pyhgf.json
-
curl -L -o github.com__computationalpsychiatry__pyhgf.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/07/github.com__computationalpsychiatry__pyhgf.json
44 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/computationalpsychiatry/pyhgf", | |
| "url": "https://github.com/ComputationalPsychiatry/pyhgf", | |
| "host": "github.com", | |
| "commit": "2b4bf6772f990b0595a63b8fc740d07cbfe71e44", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "5b01dbc0a7aa586f93721ea9fb90a36bcb10e4921bef4b6cb7b699339d2f5cae", | |
| "language": "License", | |
| "lines": 11, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 1622 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "d63c5d8ca04804c68e3593a300c886cd508b2855079f80d023abe6ed7344cfea", | |
| "language": "Text", | |
| "lines": 210, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 10834 | |
| }, | |
| { | |
| "path": "build.rs", | |
| "sha256": "b06689062cfb202cc5c6efec7434edfe9cb302462b9403e1e705f97940e02d18", | |
| "language": "Rust", | |
| "lines": 6, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5287 | |
| }, | |
| { | |
| "path": "docs/paper.ipynb", | |
| "sha256": "24856469001a063a36b64d7247409e65716d60b70815b85ab324b872cf9da1db", | |
| "language": "Jupyter", | |
| "lines": 715, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 752 | |
| }, | |
| { | |
| "path": "docs/readme.ipynb", | |
| "sha256": "4a5feddcfdda320b106fe396b31fa091b0925cc1f344a7e8cc9785dd23e359ef", | |
| "language": "Jupyter", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16053 | |
| }, | |
| { | |
| "path": "docs/source/conf.py", | |
| "sha256": "d2585d5794e6e7a30ac7ee94f5f0310d34c6e869616c1cf61417146c0fb7f7ac", | |
| "language": "Python", | |
| "lines": 150, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 40159 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.1-Theory.ipynb", | |
| "sha256": "b8e9e1116d1430eab3dfa6de499e56ec604fc98ac11da1c386c1c9e481030bcd", | |
| "language": "Jupyter", | |
| "lines": 391, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 821 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.2-Creating_networks.ipynb", | |
| "sha256": "346a0f6b8810cc10809bc0ac9442ceacb536e3f281cbd1214eaf9d885029de47", | |
| "language": "Jupyter", | |
| "lines": 445, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 764 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.3-Generalised_filtering.ipynb", | |
| "sha256": "6e0b1addeff9fe62c1477a8fc69a58483e52bd53287010e63adc18ecea805390", | |
| "language": "Jupyter", | |
| "lines": 509, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 750 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.4-Planning_and_acting.ipynb", | |
| "sha256": "25703f4d8faa54b793cdc610bd745b9f11aaf38c4a3d225d3e0409a4b44a5994", | |
| "language": "Jupyter", | |
| "lines": 217, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 17692 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.5-Deep_networks_theory.ipynb", | |
| "sha256": "4c0c16d1792731b84df09cc920e2c56a17b0ae6d8b5a5bc6936f04c7ffd7dc68", | |
| "language": "Jupyter", | |
| "lines": 400, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 920 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.6-Prospective_configuration.ipynb", | |
| "sha256": "8e247bfaecc6efc44474bb4f48ae53eafc2347352d0e91f8d730805162724779", | |
| "language": "Jupyter", | |
| "lines": 875, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 1099 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.7-Deep_networks_implementation.ipynb", | |
| "sha256": "fa01ae5408a33a2576e6f97bd00f5a3e54a2a960eae43ad3b4b94b96c6cf2f89", | |
| "language": "Jupyter", | |
| "lines": 192, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 17610 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.8-Convolutional_networks.ipynb", | |
| "sha256": "a713702d0a21e34cce22ea45b340972b1178919d1cd7c984ca3768f72700a3dd", | |
| "language": "Jupyter", | |
| "lines": 504, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 807 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/0.9-Transformers.ipynb", | |
| "sha256": "d9c477c3ebd13d8f41d1cf750a3dc741f4d4c61559d073d451d814fadd9e40c5", | |
| "language": "Jupyter", | |
| "lines": 526, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 774 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/1.1-Binary_HGF.ipynb", | |
| "sha256": "f320e5786c751f4ca7eb37d2524664a42fafd49f70ada69e6e6b05934d19123d", | |
| "language": "Jupyter", | |
| "lines": 305, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 220 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/1.2-Categorical_HGF.ipynb", | |
| "sha256": "53f2e9e33e35e24f93ada871268d68dba12a87b627e07b60fef517720d926bb4", | |
| "language": "Jupyter", | |
| "lines": 269, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 49 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/1.3-Continuous_HGF.ipynb", | |
| "sha256": "264e9a94078602fb7486ceb266a9b4784dfbad910789e5f3d97dcecb80707f37", | |
| "language": "Jupyter", | |
| "lines": 406, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 639 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/2-Using_custom_response_functions.ipynb", | |
| "sha256": "5438c732307d27503e502aa05d687f5f5e884d3b6047de36e14d24930500acd7", | |
| "language": "Jupyter", | |
| "lines": 262, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 733 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/3-Multilevel_HGF.ipynb", | |
| "sha256": "416fc881b9e39faa88ebb66ab0838535fdcd403107660b2a0a631d8cdc28e181", | |
| "language": "Jupyter", | |
| "lines": 297, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 536 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/4-Parameter_recovery.ipynb", | |
| "sha256": "5f4170b5f26e7e855e02c9027e34232a6dce24534c7ff364efc8afa03d48e413", | |
| "language": "Jupyter", | |
| "lines": 200, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 17402 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/5-Non_linear_value_coupling.ipynb", | |
| "sha256": "b6c1b4dcd5c8182e2cfc3167bebc76f7a04d78a274016a8466b9c7f74ca62221", | |
| "language": "Jupyter", | |
| "lines": 357, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 435 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/Example_1_Heart_rate_variability.ipynb", | |
| "sha256": "80c4e97f32513bef71d905a02034a8f23ec1ba8d172148d4b9396b0c98e213f4", | |
| "language": "Jupyter", | |
| "lines": 119, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16711 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/Example_2_Input_node_volatility_coupling.ipynb", | |
| "sha256": "4dc5f1a42993fc04cacb8aff0d4ac17faf9857f8cb05a750f43498ebc9c5533d", | |
| "language": "Jupyter", | |
| "lines": 128, | |
| "truncated": false, | |
| "block": 5, | |
| "row": 16726 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/Example_3_Multi_armed_bandit.ipynb", | |
| "sha256": "ea5663b22d52b2e9d8f9168085f9a5aaf3e9399ae3fc8619a164e0915bdd83e8", | |
| "language": "Jupyter", | |
| "lines": 461, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 740 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/Example_4_Causal_discovery.ipynb", | |
| "sha256": "955d0d4ace581a612a51a0985bfb584d5e1b318950d897764200f9051f670298", | |
| "language": "Jupyter", | |
| "lines": 485, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 546 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/Example_5_Iowa_Gambling_Task.ipynb", | |
| "sha256": "f86a7a3ad35a1bb9f74cfad712130ea0ca3cebe4daa6c3242c6e1cdad9c0c867", | |
| "language": "Jupyter", | |
| "lines": 741, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 879 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/Exercise_1_Introduction_to_the_generalised_hierarchical_gaussian_filter.ipynb", | |
| "sha256": "e59928269fdaa3812a55e8886a1f67d18c5ee57cf921c3c7b0305d74b6c226b0", | |
| "language": "Jupyter", | |
| "lines": 373, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 603 | |
| }, | |
| { | |
| "path": "docs/source/notebooks/Exercise_2_Bayesian_reinforcement_learning.ipynb", | |
| "sha256": "a95230ab58896201d558eaec4a0d1631c24812fce40f36950690c80236c31293", | |
| "language": "Jupyter", | |
| "lines": 607, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 906 | |
| }, | |
| { | |
| "path": "pyhgf/__init__.py", | |
| "sha256": "91ce805ccecb77c3a4e5623306f5778aa395ebab8ee9d0a91d4fd1d52bfa29c9", | |
| "language": "Python", | |
| "lines": 179, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 43404 | |
| }, | |
| { | |
| "path": "pyhgf/distribution.py", | |
| "sha256": "07e0b720ad9e5c8f4a7b3fef0fac032f97bda423d29185e71831fca80f0dbe16", | |
| "language": "Python", | |
| "lines": 66, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 30531 | |
| }, | |
| { | |
| "path": "pyhgf/math.py", | |
| "sha256": "9560d7061feec73db3fcbf31512dc2ffa703bdc23d7aa80ea7e85da3b9d71d4a", | |
| "language": "Python", | |
| "lines": 498, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6318 | |
| }, | |
| { | |
| "path": "pyhgf/model/__init__.py", | |
| "sha256": "5b308d7b0c9c3fdef3b11dec3e7c94e520cb17957b6c5ed7ab10948b5fd1437d", | |
| "language": "Python", | |
| "lines": 87, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 33228 | |
| }, | |
| { | |
| "path": "pyhgf/model/add_nodes.py", | |
| "sha256": "ebabca64a7caa9c0a906ccffcb8b53b318f6402b042aafd3a9cd31b32190f1aa", | |
| "language": "Python", | |
| "lines": 720, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9622 | |
| }, | |
| { | |
| "path": "pyhgf/model/builder.py", | |
| "sha256": "ae626c5150c7a1a8c6ba5317e88f8a4af8d3142d291fb1c72714450172dc169f", | |
| "language": "Python", | |
| "lines": 173, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 42515 | |
| }, | |
| { | |
| "path": "pyhgf/model/conv.py", | |
| "sha256": "fd3e7cff70e33cf8074aea94380df5031c0d7733b58195a4c7b38d7ec595bb83", | |
| "language": "Python", | |
| "lines": 476, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8304 | |
| }, | |
| { | |
| "path": "pyhgf/model/deep_network.py", | |
| "sha256": "ccb93da19a85fa2c59132f6588983c52b8cd54b6f7071adf02396dfefccbc4d6", | |
| "language": "Python", | |
| "lines": 2068, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 931 | |
| }, | |
| { | |
| "path": "pyhgf/model/error_types.py", | |
| "sha256": "2c1e8115edcf6e6ba4f36fb751bd2bdad73c999d2027c4950920fb3816e8c02c", | |
| "language": "Python", | |
| "lines": 186, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44818 | |
| }, | |
| { | |
| "path": "pyhgf/model/fused.py", | |
| "sha256": "a4df1fb6fd06668ab14ea24905decd598f63ddd9d1afc475a9e8592119d04053", | |
| "language": "Python", | |
| "lines": 591, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9510 | |
| }, | |
| { | |
| "path": "pyhgf/model/hgf.py", | |
| "sha256": "484c1d5d80fc03c2c51ccf66f897db2dc06054e3807925960f273a7000b3202f", | |
| "language": "Python", | |
| "lines": 30, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25447 | |
| }, | |
| { | |
| "path": "pyhgf/model/hybrid.py", | |
| "sha256": "fa426ef2c9eb167eb7d804a38652c9ffaa0bf3a745e0507fa53e7e22c33e2b08", | |
| "language": "Python", | |
| "lines": 407, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 7456 | |
| }, | |
| { | |
| "path": "pyhgf/model/network.py", | |
| "sha256": "c98a710851dbd0e069a8b6efe4135b734a9815df5f9b57ff650febb2ee7e9a38", | |
| "language": "Python", | |
| "lines": 774, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10815 | |
| }, | |
| { | |
| "path": "pyhgf/model/transformer.py", | |
| "sha256": "4e40d5f085dcccaea3ce5a94fbaf4380aebd53a0bdb7f283ebeceb9e8ee91146", | |
| "language": "Python", | |
| "lines": 312, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5018 | |
| }, | |
| { | |
| "path": "pyhgf/model/transplant.py", | |
| "sha256": "2739dc6dffafdab3420c193dde2cc9e989f05b4e2030eb37b4d5fbd7cf528549", | |
| "language": "Python", | |
| "lines": 333, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5209 | |
| }, | |
| { | |
| "path": "pyhgf/plots/graphviz/__init__.py", | |
| "sha256": "1fb05eeceadc40821d726440a2c33f275bf0be5e96864d083633ab78c91cd91b", | |
| "language": "Python", | |
| "lines": 10, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 21229 | |
| }, | |
| { | |
| "path": "pyhgf/plots/graphviz/plot_network.py", | |
| "sha256": "35a12055843ca740eba53d4a0de0f5c770b17665708cf8fd85a0658a7382cc0e", | |
| "language": "Python", | |
| "lines": 223, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 45055 | |
| }, | |
| { | |
| "path": "pyhgf/plots/matplotlib/__init__.py", | |
| "sha256": "793c6320d17d3aa7b79fe63ce487df90ac3fd98fce50e9348cf9b25d2bf45721", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 21881 | |
| }, | |
| { | |
| "path": "pyhgf/plots/matplotlib/plot_correlations.py", | |
| "sha256": "524bdd6e646f6541574bad0b5473eaddb5afb648bb8feca9d770355bead75e91", | |
| "language": "Python", | |
| "lines": 57, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 28926 | |
| }, | |
| { | |
| "path": "pyhgf/plots/matplotlib/plot_layers.py", | |
| "sha256": "123e679b2df35cce45e059e3c2f07a399068354971d278c9356bfc8923a24692", | |
| "language": "Python", | |
| "lines": 228, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 2455 | |
| }, | |
| { | |
| "path": "pyhgf/plots/matplotlib/plot_nodes.py", | |
| "sha256": "1af0b71bd539d376fc46e310e89dc1f5f00445c0ab601f4a4e8450edf71f546e", | |
| "language": "Python", | |
| "lines": 285, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 3131 | |
| }, | |
| { | |
| "path": "pyhgf/plots/matplotlib/plot_samples.py", | |
| "sha256": "60d10367205892ae752fe4082e68a50f6fd9e52fe56b00d9394a313e415ba061", | |
| "language": "Python", | |
| "lines": 87, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 34569 | |
| }, | |
| { | |
| "path": "pyhgf/plots/matplotlib/plot_trajectories.py", | |
| "sha256": "c3a42395ba2822ee3f22079e1124627174f0deec4d8495bc3f80a8185548f413", | |
| "language": "Python", | |
| "lines": 175, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 41753 | |
| }, | |
| { | |
| "path": "pyhgf/plots/networkx/__init__.py", | |
| "sha256": "7ea442065c1c66d4568559d0e8b56edf4bdfd234813d24cd3c31cf38edb1241e", | |
| "language": "Python", | |
| "lines": 5, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 20540 | |
| }, | |
| { | |
| "path": "pyhgf/plots/networkx/plot_network.py", | |
| "sha256": "1c034556892cd41395147609cc3cb0c936dbfcc339e467848cd1ecbdea63c6c1", | |
| "language": "Python", | |
| "lines": 202, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44195 | |
| }, | |
| { | |
| "path": "pyhgf/response.py", | |
| "sha256": "5d4ca038820fecf5c19a94d2ae3d2544a550c485b1d45078e7f10e59bd85da39", | |
| "language": "Python", | |
| "lines": 215, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44805 | |
| }, | |
| { | |
| "path": "pyhgf/typing/__init__.py", | |
| "sha256": "2aee334408bebc07bd06f23516dce5060be043699f9a6cd76ad02388c27db315", | |
| "language": "Python", | |
| "lines": 47, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 26114 | |
| }, | |
| { | |
| "path": "pyhgf/typing/typing.py", | |
| "sha256": "d2ba441961d27efb5a33862143b83b8811020641c17fd5ea4bf6a28a62da8e7f", | |
| "language": "Python", | |
| "lines": 91, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 35517 | |
| }, | |
| { | |
| "path": "pyhgf/typing/vectorised.py", | |
| "sha256": "85bd0e72a23132300eed8aa9cfc47584cfb39ac146271ea57fd8a99d7fc4abd2", | |
| "language": "Python", | |
| "lines": 542, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9203 | |
| }, | |
| { | |
| "path": "pyhgf/updates/observation.py", | |
| "sha256": "cc95b3e4bdc914751438da998a6588daeb7b7b6c28bb3cc2ca9571815caa97c6", | |
| "language": "Python", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 24816 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/categorical.py", | |
| "sha256": "a2cf05c110df7d59b1b14d7629f032fbe56bcc7bf5478e5b21bb19853daeabb4", | |
| "language": "Python", | |
| "lines": 87, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 36040 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/continuous/__init__.py", | |
| "sha256": "115fe2a11294af6723c0ff3730d7a18a19cc42a5e03de4f44f0f78e9b52f256b", | |
| "language": "Python", | |
| "lines": 19, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 23619 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/continuous/continuous_node_posterior_update.py", | |
| "sha256": "eea2840e343de4f5848df7f35993f5e8d36b07b783d6aae2530e9c30b24cab0a", | |
| "language": "Python", | |
| "lines": 128, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 39961 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/continuous/continuous_node_posterior_update_ehgf.py", | |
| "sha256": "e01b1447f077e7073b74d5d8981a07f4e16568e8ceebbeb2e51766eca599c352", | |
| "language": "Python", | |
| "lines": 155, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 42006 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/continuous/continuous_node_posterior_update_unbounded.py", | |
| "sha256": "3eeca2a3812f2e3a6d3204be4ed1eaa215d948cd9b4e0d075579ccaf77a7621b", | |
| "language": "Python", | |
| "lines": 220, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 2446 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/continuous/posterior_update_mean_continuous_node.py", | |
| "sha256": "2aa4c1c31e027bc638364a298af6a59fd151640b8dcee185ca0499b99816038b", | |
| "language": "Python", | |
| "lines": 359, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 6331 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/continuous/posterior_update_precision_continuous_node.py", | |
| "sha256": "82fb65e806b197902530e21afb0b0ab14ce8a5f7fa68015f2c0c19f0dcc5f386", | |
| "language": "Python", | |
| "lines": 769, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10597 | |
| }, | |
| { | |
| "path": "pyhgf/updates/posterior/exponential.py", | |
| "sha256": "9da7bc792468d2a06e82069131f070ca42fd6cd30c102c7e41932da892e118c9", | |
| "language": "Python", | |
| "lines": 81, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 35959 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction/binary.py", | |
| "sha256": "16d97c1163e5ded4c01328e175f49a721f5625d03eac62cfc9e22d412ccf2f6a", | |
| "language": "Python", | |
| "lines": 93, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37704 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction/continuous.py", | |
| "sha256": "e8e498fcfa2fa4f5c4cf4de14fe2eed7d24c1481cc3be2945d942b29421d9450", | |
| "language": "Python", | |
| "lines": 570, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9271 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction/dirichlet.py", | |
| "sha256": "c530ca7e8ff16cca54bb7af29147e2fc0c56233ff981832ad348e7d178e4c57e", | |
| "language": "Python", | |
| "lines": 52, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 29762 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction_error/binary.py", | |
| "sha256": "3a44935ee4772083f407e6c0aac13bc2718b827e2e7a8ea9d14e4d6b74310d34", | |
| "language": "Python", | |
| "lines": 106, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37810 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction_error/categorical.py", | |
| "sha256": "14f25747c71a4d96475b16457ae7b89859a7ceaac8895e238127d02c1432b2bf", | |
| "language": "Python", | |
| "lines": 47, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 28236 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction_error/continuous.py", | |
| "sha256": "255752b4a252502f49901fd7ca5c2f6fe1744d9516bbcac64af1922ab7f9e469", | |
| "language": "Python", | |
| "lines": 176, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 41737 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction_error/dirichlet.py", | |
| "sha256": "76f32580f58083142c73928d2a8098c0cba7d18ad88447b0e3c97dab584b887f", | |
| "language": "Python", | |
| "lines": 393, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5113 | |
| }, | |
| { | |
| "path": "pyhgf/updates/prediction_error/exponential.py", | |
| "sha256": "460d264da56c98a32f585dcceaaa3b4724e86a8a15b17c8137ff429f59f1760a", | |
| "language": "Python", | |
| "lines": 120, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 40395 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/binary/__init__.py", | |
| "sha256": "710b2350e4b916695ad47a8015b0136294aac5088b6b09779c7751f9cf15f64d", | |
| "language": "Python", | |
| "lines": 12, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 22141 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/binary/prediction.py", | |
| "sha256": "bd7528cc32c5a93de7a81b57f874ac3cf34fea322b8971f8bac987a3ddde5a87", | |
| "language": "Python", | |
| "lines": 99, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 38734 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/binary/prediction_error.py", | |
| "sha256": "0ce72cf5958e560fadcc73d08565f64d3e80518585329d3cfa81501f41d6c93b", | |
| "language": "Python", | |
| "lines": 51, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 29735 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/categorical/__init__.py", | |
| "sha256": "a91d37a81ceda879ec161a4f2605dd0076b39ef7ab229143a1c4177a8a56df94", | |
| "language": "Python", | |
| "lines": 11, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 22019 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/categorical/prediction.py", | |
| "sha256": "9cc9ea4fe259494084ea886289061993fb4ac953d0a7a21372a1c28b7dd7dbe5", | |
| "language": "Python", | |
| "lines": 83, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 36939 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/categorical/prediction_error.py", | |
| "sha256": "41120faea2220bc083b8666ad7ccc1fc568da2a8462488db72ef274b0b0b4dd8", | |
| "language": "Python", | |
| "lines": 44, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 29258 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/continuous/__init__.py", | |
| "sha256": "2624643c1985a09fabaf03c5e698b7b87bc31cb5d9f53f2f1c04d00d77a912c1", | |
| "language": "Python", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 28594 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/continuous/posterior.py", | |
| "sha256": "7518bd1c15d1e9a4dce94d9d701471e3c4cd4c381e484e053cab5169b99d5fe2", | |
| "language": "Python", | |
| "lines": 657, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9786 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/continuous/prediction.py", | |
| "sha256": "9a7fd3788347729708351d2f02b0293776f833c8c13a980dca091fcd65415205", | |
| "language": "Python", | |
| "lines": 192, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 1521 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/continuous/prediction_error.py", | |
| "sha256": "5e7b9aa4c9588b0366123e5c76cdd6dd92149e42f9d0c0df3d1a346e967c09fd", | |
| "language": "Python", | |
| "lines": 95, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 35952 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/learning.py", | |
| "sha256": "465a13a9457b3879e8dffa085d6914d7fecb02261fc6b471fb644fd8f9430e76", | |
| "language": "Python", | |
| "lines": 566, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10076 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/volatile/__init__.py", | |
| "sha256": "9bb7447742567eae6f4bd76aeec1596b8a2065cabee312ad9b6e4bbf4ffe4853", | |
| "language": "Python", | |
| "lines": 37, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 28587 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/volatile/posterior.py", | |
| "sha256": "944b7592d55879a7de3e1a043da7db1b143ce8a9416beb30c8ac904722389a42", | |
| "language": "Python", | |
| "lines": 325, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5782 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/volatile/prediction.py", | |
| "sha256": "76b80a48617fffde3b63bfd4c4ee54ea6d74b48c14f1b759b3d695158b47a181", | |
| "language": "Python", | |
| "lines": 413, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8541 | |
| }, | |
| { | |
| "path": "pyhgf/updates/vectorised/volatile/prediction_error.py", | |
| "sha256": "a73ed807d0356840115e748d183f19b29c0688b03e7d71bdf69549f9cdccea4c", | |
| "language": "Python", | |
| "lines": 503, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 8787 | |
| }, | |
| { | |
| "path": "pyhgf/utils/__init__.py", | |
| "sha256": "5a71698ba15dc98a6b2c134367080394d6ef0cbd4fd3b2595c817145c7ff32e4", | |
| "language": "Python", | |
| "lines": 26, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 24633 | |
| }, | |
| { | |
| "path": "pyhgf/utils/add_edges.py", | |
| "sha256": "6ae34bf51af5fe0e9e093648756632ffbefda2689823f3ab21d53031475ddcab", | |
| "language": "Python", | |
| "lines": 176, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 43985 | |
| }, | |
| { | |
| "path": "pyhgf/utils/add_parent.py", | |
| "sha256": "68dac5c38ca11320158f824101f0c2129b6ada2ef377f8438736f5108bdecdad", | |
| "language": "Python", | |
| "lines": 78, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 33349 | |
| }, | |
| { | |
| "path": "pyhgf/utils/beliefs_propagation.py", | |
| "sha256": "b041c82de2c7d27bcffe767a2bfd682e28e29fb4b8a74503b1d14c7f835e25eb", | |
| "language": "Python", | |
| "lines": 159, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44247 | |
| }, | |
| { | |
| "path": "pyhgf/utils/fill_categorical_state_node.py", | |
| "sha256": "ee2508036d54a952499906090c649153c9909042fc85b9a32e24d084f8d065c7", | |
| "language": "Python", | |
| "lines": 81, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 34126 | |
| }, | |
| { | |
| "path": "pyhgf/utils/get_input_idxs.py", | |
| "sha256": "d90d580f861dc9ed20f4de8392d2b647259deb6876bfb5d77066c14c99c2bae1", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 23793 | |
| }, | |
| { | |
| "path": "pyhgf/utils/get_update_sequence.py", | |
| "sha256": "d3da6b21ffe6bf546f613b9a9d0fd9698cddb305e07f1af3f70f3b249c6d255e", | |
| "language": "Python", | |
| "lines": 317, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5707 | |
| }, | |
| { | |
| "path": "pyhgf/utils/list_branches.py", | |
| "sha256": "02c9b6adf6fc7e4e0d1a8fed2bd4a0b73cea43fc68ef6b6edfe7a26bed33b831", | |
| "language": "Python", | |
| "lines": 55, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 30745 | |
| }, | |
| { | |
| "path": "pyhgf/utils/remove_node.py", | |
| "sha256": "4eb0f54179d4d96a2a1d2ee4b1af655509b998643eb580193374934d81302299", | |
| "language": "Python", | |
| "lines": 265, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 1464 | |
| }, | |
| { | |
| "path": "pyhgf/utils/sample.py", | |
| "sha256": "92a7cfe1b9d0da37bfba3a4c3c27fccf9f76d5c28d1ac2b2e270b0baa11be1c8", | |
| "language": "Python", | |
| "lines": 116, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37824 | |
| }, | |
| { | |
| "path": "pyhgf/utils/sample_node_distribution.py", | |
| "sha256": "9e4b543ef684953900810048d270ebeab6d09005006b380e96a906e6e2c6febe", | |
| "language": "Python", | |
| "lines": 42, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 27007 | |
| }, | |
| { | |
| "path": "pyhgf/utils/to_pandas.py", | |
| "sha256": "ec0682e9004237e74b9a029791b8db22ebe90589d35f72922886b08af5c436bb", | |
| "language": "Python", | |
| "lines": 114, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 40228 | |
| }, | |
| { | |
| "path": "pyhgf/utils/vectorised_belief_propagation.py", | |
| "sha256": "6a52384509da439408f87bbbeb0aa35caf269ac431742b0740372481207cafe7", | |
| "language": "Python", | |
| "lines": 2035, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 871 | |
| }, | |
| { | |
| "path": "pyhgf/utils/weight_initialisation.py", | |
| "sha256": "6f959d8b07235085afb0b000f37d3cb9412109c3fdbda1637841a069dc88e0dc", | |
| "language": "Python", | |
| "lines": 214, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 45002 | |
| }, | |
| { | |
| "path": "src/lib.rs", | |
| "sha256": "d9033b997ea24d9fe744c9e7b27e80e478bcdf808e6261e0d99ecd2d62c9be35", | |
| "language": "Rust", | |
| "lines": 23, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5365 | |
| }, | |
| { | |
| "path": "src/math.rs", | |
| "sha256": "1a424207e5aa98c3f7026bab98d3a2aaa02958de0a8d9280cbf0fc3c222de576", | |
| "language": "Rust", | |
| "lines": 735, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6201 | |
| }, | |
| { | |
| "path": "src/model/deep_network.rs", | |
| "sha256": "b5a02294a1abe59abf9f4d3ac35e9be5c740f36ef3dbe2fc1a30bdeee51bb23b", | |
| "language": "Rust", | |
| "lines": 795, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6242 | |
| }, | |
| { | |
| "path": "src/model/mod.rs", | |
| "sha256": "85592ae630d45745954b98728ea1bbc2ef66c0111058790fc1ee2842057aeb28", | |
| "language": "Rust", | |
| "lines": 5, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5283 | |
| }, | |
| { | |
| "path": "src/model/network.rs", | |
| "sha256": "8a25de47018c4a840178f26656a778aa5b9b40f748a96cd66d901769dcedeabd", | |
| "language": "Rust", | |
| "lines": 918, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6255 | |
| }, | |
| { | |
| "path": "src/optimiser.rs", | |
| "sha256": "b904c5cc9c931fb0a6a6ba9dd51536b61fad717f285fd1848b04b35bf2a5b998", | |
| "language": "Rust", | |
| "lines": 105, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5647 | |
| }, | |
| { | |
| "path": "src/updates/mod.rs", | |
| "sha256": "aab5810008f4010c5f98828b1d0fe87e48b6d63066f4d949460b8adc25431d84", | |
| "language": "Rust", | |
| "lines": 6, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5294 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/mod.rs", | |
| "sha256": "c2111434f790025bc2cdacb64486a86497d4fe194cde6acc2dd44d5d9d091462", | |
| "language": "Rust", | |
| "lines": 4, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5263 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/observations.rs", | |
| "sha256": "ec429a51f019f48c7be671800c545a3f1a5f9b67adbd11d20217608c5fa5a529", | |
| "language": "Rust", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5333 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/posterior/continuous.rs", | |
| "sha256": "8e6114fdc9daa5ad3cbbb237e19ad843afc533c40c852a2c3dd5d9a30c703b2b", | |
| "language": "Rust", | |
| "lines": 652, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6229 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/posterior/mod.rs", | |
| "sha256": "d3a5392f2ccab493496ad361dda8a94c47b02ffbdbf13d702233c71acfea5a2f", | |
| "language": "Rust", | |
| "lines": 1, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5245 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/prediction/binary.rs", | |
| "sha256": "f0cb3b0a543d18232f55c9a51aa6cd187c89ecc8a38a8ba01086feff9d966dbd", | |
| "language": "Rust", | |
| "lines": 26, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5427 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/prediction/continuous.rs", | |
| "sha256": "65fba20f61d82f00781ac085f7cf0f43e5e814eb9ffba93379f8c0261c92a714", | |
| "language": "Rust", | |
| "lines": 243, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6001 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/prediction/mod.rs", | |
| "sha256": "3a6976899eef062fa8f3330d0baf316a2d079ad882f5bb55715938ce2b2accbd", | |
| "language": "Rust", | |
| "lines": 2, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5251 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/prediction_error/binary.rs", | |
| "sha256": "24d9de2faf7b00c00b087b01d030d0fb55eb4aa27817d3b8d63cf45ff101447e", | |
| "language": "Rust", | |
| "lines": 15, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5370 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/prediction_error/continuous.rs", | |
| "sha256": "d62963e9bad2629164a8b46000bf3d33c882aeb16cbe3fc4a1f10f16aa7a0adb", | |
| "language": "Rust", | |
| "lines": 33, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5437 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/prediction_error/exponential.rs", | |
| "sha256": "e52167371a5128eed8605f2743e931265aa11ed4ca17eeca949be725117c2274", | |
| "language": "Rust", | |
| "lines": 18, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5349 | |
| }, | |
| { | |
| "path": "src/updates/nodalised/prediction_error/mod.rs", | |
| "sha256": "145174d7df5ade1dff684eecc9ee50364b43e08382fd2b48c92e3767edebc134", | |
| "language": "Rust", | |
| "lines": 3, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5255 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/binary/mod.rs", | |
| "sha256": "51c8f7ca6d1656c1cb5b66fb90e45620503d4e1e05a6a8e67e80c48ea99b0984", | |
| "language": "Rust", | |
| "lines": 5, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5276 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/binary/prediction.rs", | |
| "sha256": "d07a858811b602940f93d2a7dfc0b4a33b4a276f750f9456cd6172576e8d806e", | |
| "language": "Rust", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5470 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/binary/prediction_error.rs", | |
| "sha256": "dc350facabc12747aca7684de7260bd48855639e6b6e75023a6ecced849cd31d", | |
| "language": "Rust", | |
| "lines": 14, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5353 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/categorical/mod.rs", | |
| "sha256": "618c478b87d3c3de1df96498b6e1f0cee1c8b73aaaac0ced90ae81f14d4951f6", | |
| "language": "Rust", | |
| "lines": 5, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5278 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/categorical/prediction.rs", | |
| "sha256": "50b174a275cb655feceefeb8deca8ab7e770ddb254cc907a1992ae751433e66b", | |
| "language": "Rust", | |
| "lines": 35, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5438 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/categorical/prediction_error.rs", | |
| "sha256": "fbc24ba699cafcc7326dc5fbb6aa7a0e422afcb0652850bed268ae22265af852", | |
| "language": "Rust", | |
| "lines": 14, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5356 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/learning.rs", | |
| "sha256": "b34b66a5e627986065852b286d648f35b24012e2b08b30dc12900e93581b586b", | |
| "language": "Rust", | |
| "lines": 136, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5745 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/mod.rs", | |
| "sha256": "13dd5937f1cbe9fb3e29a843611faff25964812bbeb12a2e7a748bd484186053", | |
| "language": "Rust", | |
| "lines": 42, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5490 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/volatile/mod.rs", | |
| "sha256": "92ee39b48cff964b61bd996040cdd60552f3e4e1bb33f91ba6237ec3e8cf0f0f", | |
| "language": "Rust", | |
| "lines": 30, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5432 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/volatile/posterior.rs", | |
| "sha256": "f15ef640c9ff0cd00627612a2a3ab4c38811d47e268463b599074439173f7972", | |
| "language": "Rust", | |
| "lines": 135, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5754 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/volatile/prediction.rs", | |
| "sha256": "e304bfe9eefd893e4d69a6301596b0c3d0e4e929efb9b29c1b7c1dc0bb03ffab", | |
| "language": "Rust", | |
| "lines": 353, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6060 | |
| }, | |
| { | |
| "path": "src/updates/vectorised/volatile/prediction_error.rs", | |
| "sha256": "84a606ec135f6470f4e1c720b96db8bedbedfefd8cff5d94b3d768cb9ec6534d", | |
| "language": "Rust", | |
| "lines": 397, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6067 | |
| }, | |
| { | |
| "path": "src/utils/beliefs_propagation.rs", | |
| "sha256": "3c0f5823b07da0c8aecd69724c752a064650fbe1f43e53e51fd0bec9d48d7bbf", | |
| "language": "Rust", | |
| "lines": 30, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5378 | |
| }, | |
| { | |
| "path": "src/utils/function_pointer.rs", | |
| "sha256": "1c1bc5051c0a4cab7908918eecdd78bb8a2f78fb82e2e25b08be700a3d642e53", | |
| "language": "Rust", | |
| "lines": 99, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5697 | |
| }, | |
| { | |
| "path": "src/utils/mod.rs", | |
| "sha256": "95cda49e4756459d15520884a28b5bbfc7fb8b784fa1dbb3f884363bdd763a18", | |
| "language": "Rust", | |
| "lines": 4, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5266 | |
| }, | |
| { | |
| "path": "src/utils/set_sequence.rs", | |
| "sha256": "ae6094ed7b48fafa2238a38c357bb09ac861a6279fb42bf45c05810dfb952877", | |
| "language": "Rust", | |
| "lines": 242, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5895 | |
| }, | |
| { | |
| "path": "src/utils/weight_initialisation.rs", | |
| "sha256": "98b1a05de78699c82a7e81eced398c8f69b3b69d2d6ab30bbc9bfd21788350bf", | |
| "language": "Rust", | |
| "lines": 294, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5944 | |
| }, | |
| { | |
| "path": "src/vectorised/batched.rs", | |
| "sha256": "ebc6ffe96a252b93191d8d6e7eb72514ad2a5d0c668a17aced5d420e633ca2ac", | |
| "language": "Rust", | |
| "lines": 824, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6246 | |
| }, | |
| { | |
| "path": "src/vectorised/layer.rs", | |
| "sha256": "8530ef7c7e62dbafa95d2e70e3ea6d53fe942857a5a2f584b8d16ab58235235f", | |
| "language": "Rust", | |
| "lines": 749, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6234 | |
| }, | |
| { | |
| "path": "src/vectorised/mat.rs", | |
| "sha256": "dae060ed0ff7c02e984638b108d67b473716fa03c2e5319c3837dba8ad120bc3", | |
| "language": "Rust", | |
| "lines": 60, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5508 | |
| }, | |
| { | |
| "path": "src/vectorised/mod.rs", | |
| "sha256": "ffa584fc4c8904e21af7f537f685db0bdc60cf48414362a6df642bedb5112a7c", | |
| "language": "Rust", | |
| "lines": 12, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5335 | |
| }, | |
| { | |
| "path": "src/vectorised/network.rs", | |
| "sha256": "1d5f1c994dabd35143cf27c61392d660cac9161bdf83efaf7d2f98306055f984", | |
| "language": "Rust", | |
| "lines": 1237, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 6309 | |
| }, | |
| { | |
| "path": "src/vectorised/optimiser.rs", | |
| "sha256": "874735388a6bafdf512d9081b7e5455e66bcfae9af0f3c3c317de38ee9b7f3e6", | |
| "language": "Rust", | |
| "lines": 283, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5963 | |
| }, | |
| { | |
| "path": "tests/conftest.py", | |
| "sha256": "6aed1750fd33e2fc52f8eb03db8c7f126ed48e54c47cd5dc454ad45b4be1bd16", | |
| "language": "Python", | |
| "lines": 8, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 21908 | |
| }, | |
| { | |
| "path": "tests/test_binary.py", | |
| "sha256": "ebcdc09fa5c495a3cf949d75b2e96a8ff4ab27c1890bd44679415abeed9adabf", | |
| "language": "Python", | |
| "lines": 124, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 39227 | |
| }, | |
| { | |
| "path": "tests/test_binary.rs", | |
| "sha256": "8bca66e1fed909927d70f25c204385d87fb1195fc9ff0d768c36b6facc73a46a", | |
| "language": "Rust", | |
| "lines": 252, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5897 | |
| }, | |
| { | |
| "path": "tests/test_builder.py", | |
| "sha256": "bd20bee5fd828a3efb3ce05ff1e5725bff78328ee46dbbee372b59e2c0413bf3", | |
| "language": "Python", | |
| "lines": 376, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 5033 | |
| }, | |
| { | |
| "path": "tests/test_categorical.py", | |
| "sha256": "550d6ad48c0fc2092aaabfacfaa452bd41b9f092ab210fa55a6e8e8b099bb48a", | |
| "language": "Python", | |
| "lines": 86, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37717 | |
| }, | |
| { | |
| "path": "tests/test_continuous.py", | |
| "sha256": "ba3a2fa2e9115dbc2583a74be7e43dd5f95c97c146df04cf99070be0c45cf296", | |
| "language": "Python", | |
| "lines": 172, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 43395 | |
| }, | |
| { | |
| "path": "tests/test_continuous.rs", | |
| "sha256": "befd9cf31c40eb296260434ae725eed4e130aeaf3e66145788124bdb471fff3f", | |
| "language": "Rust", | |
| "lines": 133, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 5686 | |
| }, | |
| { | |
| "path": "tests/test_conv.py", | |
| "sha256": "06950a9871867a9e880f4dbce60cb571b4d27b877c3d8f6a6f1cc928377ffd77", | |
| "language": "Python", | |
| "lines": 609, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9366 | |
| }, | |
| { | |
| "path": "tests/test_deepnetwork.py", | |
| "sha256": "0c07198bb442a5987ae813a847c677befde1fdd99fc678e80bc353d0e26f071a", | |
| "language": "Python", | |
| "lines": 1759, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 695 | |
| }, | |
| { | |
| "path": "tests/test_distribution.py", | |
| "sha256": "d36e2819a17882c47f165c1cae5a58ec33e4bc694df1f663e650a6b0e076c1ac", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 22012 | |
| }, | |
| { | |
| "path": "tests/test_eqx_types.py", | |
| "sha256": "cc6ddb4f6c098c61733d956fbd6b1f8785c1cf768792374de304180787c0b424", | |
| "language": "Python", | |
| "lines": 703, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9991 | |
| }, | |
| { | |
| "path": "tests/test_error_types.py", | |
| "sha256": "d2193ceac9dbac1a22c1ebb4bb625381297316ae253a3f3384cdae9dc4f402d7", | |
| "language": "Python", | |
| "lines": 276, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 2512 | |
| }, | |
| { | |
| "path": "tests/test_fused.py", | |
| "sha256": "27f50b7db0af9f240cd302dcc9bb615638ff0a588812d1a803e4e5ad567d9e5e", | |
| "language": "Python", | |
| "lines": 277, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 2814 | |
| }, | |
| { | |
| "path": "tests/test_hybrid.py", | |
| "sha256": "4bb4aae88288cca68e6840c2a2bd0edf010f055803e3b59b7cd02cbc74f9af94", | |
| "language": "Python", | |
| "lines": 205, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 45542 | |
| }, | |
| { | |
| "path": "tests/test_math.py", | |
| "sha256": "9d69f46b14a7991c2059a2c3431b59e2d4870e71b3a49f1753993b2819e8f4f7", | |
| "language": "Python", | |
| "lines": 106, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 37490 | |
| }, | |
| { | |
| "path": "tests/test_model.py", | |
| "sha256": "631e47b0e50fa0dfcc0777d081f43781fa725b7d9f3400b886354e3e42098b60", | |
| "language": "Python", | |
| "lines": 360, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 4199 | |
| }, | |
| { | |
| "path": "tests/test_nodes/test_binary.py", | |
| "sha256": "15f2a390487a1d2aab5046c8ea9562d4fb131cfcfa6df6c9289d9885421863eb", | |
| "language": "Python", | |
| "lines": 150, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 41718 | |
| }, | |
| { | |
| "path": "tests/test_nodes/test_continuous.py", | |
| "sha256": "f0b8c5da5b98949304335c37c1824599faff61b74b35f985484946bb94eda83d", | |
| "language": "Python", | |
| "lines": 114, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 40451 | |
| }, | |
| { | |
| "path": "tests/test_nodes/test_exponential_family.py", | |
| "sha256": "03ed58c34b87e404ec115b5025f031bcf8b7990688f8e6f4ed3ed4c65814ad92", | |
| "language": "Python", | |
| "lines": 94, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 35398 | |
| }, | |
| { | |
| "path": "tests/test_pcmodule_state.py", | |
| "sha256": "47ad6cfeb93a69e266e67307e1313bb08f153138f8b64866cb038dc6a1ab754c", | |
| "language": "Python", | |
| "lines": 247, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 1824 | |
| }, | |
| { | |
| "path": "tests/test_plots/conftest.py", | |
| "sha256": "c87db88b253b056372a5dc877cecf6041381083fa4aeacb8f344dd4dd09fbd3c", | |
| "language": "Python", | |
| "lines": 225, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44306 | |
| }, | |
| { | |
| "path": "tests/test_plots/test_plot_correlations.py", | |
| "sha256": "d3dfec14ca15bfee20e2330a6d5a25c8fde8470d9e7e9b2aac9fde878fb9e1de", | |
| "language": "Python", | |
| "lines": 29, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25442 | |
| }, | |
| { | |
| "path": "tests/test_plots/test_plot_deep_network.py", | |
| "sha256": "29d3ddd0a872fcf93dc26c59ed220afe59721bd1b481167252105fd3a0d12787", | |
| "language": "Python", | |
| "lines": 9, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 22215 | |
| }, | |
| { | |
| "path": "tests/test_plots/test_plot_layers.py", | |
| "sha256": "fb448a6109f73a50a36319b70d10449a33ea0a00efc235baf118eebc7ea84ec0", | |
| "language": "Python", | |
| "lines": 177, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44945 | |
| }, | |
| { | |
| "path": "tests/test_plots/test_plot_network.py", | |
| "sha256": "cb44987811b31ec019951c21c0e9df70fd56a4b8e9bafc703d40bda95ab2ca79", | |
| "language": "Python", | |
| "lines": 36, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 27099 | |
| }, | |
| { | |
| "path": "tests/test_plots/test_plot_nodes.py", | |
| "sha256": "04977c500449874de69e2bb8d2266e54fb69acff5ac8e5ac4631d7a6ef64f4ed", | |
| "language": "Python", | |
| "lines": 29, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25537 | |
| }, | |
| { | |
| "path": "tests/test_plots/test_plot_samples.py", | |
| "sha256": "04b927946f0fc8dbcb521ec98420e96e78d6fd8062a16642daae6d02957182ef", | |
| "language": "Python", | |
| "lines": 31, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25661 | |
| }, | |
| { | |
| "path": "tests/test_plots/test_plot_trajectories.py", | |
| "sha256": "2de221a39a40535aefdf96f03efa8baa08e573b06b29ec96c8e3c4f394e8cb54", | |
| "language": "Python", | |
| "lines": 29, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 25766 | |
| }, | |
| { | |
| "path": "tests/test_responses.py", | |
| "sha256": "722e6226b6dbb0f4f1db0fc42682101c0d54e87f204f9c2d8ac21b292bdb2b3e", | |
| "language": "Python", | |
| "lines": 50, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 28803 | |
| }, | |
| { | |
| "path": "tests/test_rs_deepnetwork.py", | |
| "sha256": "3969006759f4c419060a5ea2fe1f8071f773d5b087f16c4ea118c23b55f59623", | |
| "language": "Python", | |
| "lines": 671, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10238 | |
| }, | |
| { | |
| "path": "tests/test_transformer.py", | |
| "sha256": "36664f1b915e218cc9c91439ba6c074a75e202b16616a5989ce63a645f4a0727", | |
| "language": "Python", | |
| "lines": 737, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10496 | |
| }, | |
| { | |
| "path": "tests/test_transplant.py", | |
| "sha256": "39be1cd3a5d18962142410a78d0227ac5806f81365089beea2fe7d17c8c910e9", | |
| "language": "Python", | |
| "lines": 172, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 44375 | |
| }, | |
| { | |
| "path": "tests/test_updates/posterior/test_posterior_update_continuous.py", | |
| "sha256": "4ac7a9d75f3890d41de695a3d5942c7da609b42022910b763e6b767305de07f5", | |
| "language": "Python", | |
| "lines": 99, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 39085 | |
| }, | |
| { | |
| "path": "tests/test_updates/prediction/test_autoconnection_strength.py", | |
| "sha256": "2a3648d4a09435f340c41d512d4da3372f334bc5724e864c7c66b492900c4702", | |
| "language": "Python", | |
| "lines": 205, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 45393 | |
| }, | |
| { | |
| "path": "tests/test_updates/prediction_errors/test_dirichlet.py", | |
| "sha256": "975e900c1f20a4c018eada286afc19320c25cdeb04a0081a4c8fada97fd72811", | |
| "language": "Python", | |
| "lines": 54, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 27790 | |
| }, | |
| { | |
| "path": "tests/test_utils.py", | |
| "sha256": "cc70729a4bc0de1f9775e658373ac0295211c3924994c748d9096daa2e756fda", | |
| "language": "Python", | |
| "lines": 262, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 1138 | |
| }, | |
| { | |
| "path": "tests/test_vectorised_continuous.py", | |
| "sha256": "db589efd63ba3b03359a750690a2e787d600eb500d1c182535336baa58843b37", | |
| "language": "Python", | |
| "lines": 705, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 9964 | |
| }, | |
| { | |
| "path": "tests/test_weight_belief.py", | |
| "sha256": "17bef7faf379d3bc24f4d884a5a0e1bf4417db0c6db59834d956864628d7bba6", | |
| "language": "Python", | |
| "lines": 733, | |
| "truncated": false, | |
| "block": 7, | |
| "row": 10584 | |
| }, | |
| { | |
| "path": "tests/test_weight_gradient.py", | |
| "sha256": "01650e293627d4b34c548ebcc43dce9ca888d819c477ae7b548b0b4463d72edd", | |
| "language": "Python", | |
| "lines": 69, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 34558 | |
| }, | |
| { | |
| "path": "tests/test_xla_runtime.py", | |
| "sha256": "cdd329f48748f80b29e156163e81f608bbce9c2686d7b1df28b988e1e045fbc5", | |
| "language": "Python", | |
| "lines": 126, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 41018 | |
| } | |
| ] | |
| } |