Team Ai
Datasetpublic

OpenScientificCodeRegistry/Database

Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.

sourceHugging Faceotherupdated 2d agoView on Hugging Face
0likes5.4kdownloads
github.com__mouseland__facemap.json777 linesDownload Raw Back to eb
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/mouseland/facemap",4 "url": "https://github.com/MouseLand/facemap",5 "host": "github.com",6 "commit": "f8b5b518efcde8b4aae7727283bf017b23641c7f",7 "license": "GPL-3.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "7fa7e56c0db71105f4b59a6a0ac40225eb059876f85cd380383f7d7a066e68be",14   "language": "License",15   "lines": 674,16   "truncated": false,17   "block": 9,18   "row": 291219  },20  {21   "path": "MovieGUI.m",22   "sha256": "f10c5dd2ba8e3d49442c8f267b1fb95d5ef829fa054509e1e59bfc0191969eaa",23   "language": "MATLAB",24   "lines": 652,25   "truncated": false,26   "block": 9,27   "row": 573928  },29  {30   "path": "README.md",31   "sha256": "473b921e6f027757ca71029f85cf21496bf8cd4ad0685484d79008ec1a4aeff7",32   "language": "Text",33   "lines": 161,34   "truncated": false,35   "block": 9,36   "row": 1472537  },38  {39   "path": "docs/conf.py",40   "sha256": "57d90d5ac6748a06716cbdf151ebc9bd8c13d0953110fb648d80b4ab71f83c34",41   "language": "Python",42   "lines": 104,43   "truncated": false,44   "block": 9,45   "row": 866146  },47  {48   "path": "docs/notebooks/archive.ipynb",49   "sha256": "7a83ea9a0dc22a4e410abf29289b12b9dde7367800ce61e60920ffd32bd0830a",50   "language": "Jupyter",51   "lines": 229,52   "truncated": false,53   "block": 9,54   "row": 238955  },56  {57   "path": "docs/notebooks/load_visualize_keypoints.ipynb",58   "sha256": "d322ea8e1ce93388b4958542fde81400287543a531a7a2b0744e9eb8c9d733fc",59   "language": "Jupyter",60   "lines": 102,61   "truncated": false,62   "block": 9,63   "row": 230164  },65  {66   "path": "docs/notebooks/process_keypoints.ipynb",67   "sha256": "24d255c8ca70cb3d03902b51191b0eadf127eec56209078ac4053feb3650e821",68   "language": "Jupyter",69   "lines": 165,70   "truncated": false,71   "block": 9,72   "row": 274273  },74  {75   "path": "docs/notebooks/process_svd.ipynb",76   "sha256": "23055fe2ef2b3c4a18f02fc3b49f0ddd8424a1986046744e7c25405998e67f7c",77   "language": "Jupyter",78   "lines": 114,79   "truncated": false,80   "block": 9,81   "row": 235882  },83  {84   "path": "docs/notebooks/refine_keypoints_model.ipynb",85   "sha256": "64803950f92e8493e56bb78302dcaa16081b4862ef614dbeb7d85b7e39801bb7",86   "language": "Jupyter",87   "lines": 140,88   "truncated": false,89   "block": 9,90   "row": 274491  },92  {93   "path": "facemap/__init__.py",94   "sha256": "df60de449743ac7ba21e899087959acc585e2c5eeaaf6cf8a047273e00251eb1",95   "language": "Python",96   "lines": 5,97   "truncated": false,98   "block": 9,99   "row": 6403100  },101  {102   "path": "facemap/__main__.py",103   "sha256": "e058b38c86196fe91cc01967fe44b4209c9ea21495b39a032b12fd5804cb55aa",104   "language": "Python",105   "lines": 113,106   "truncated": false,107   "block": 9,108   "row": 8547109  },110  {111   "path": "facemap/gui/cluster.py",112   "sha256": "cce6c301734ce4a0cf0bfc7efa949fa92f3f8c85c9c2b08e5a619837c0834c3c",113   "language": "Python",114   "lines": 786,115   "truncated": false,116   "block": 9,117   "row": 12301118  },119  {120   "path": "facemap/gui/gui.py",121   "sha256": "21312b48831408f58916734849d83ceb4e0d7d0e2295d378df67392535ee233b",122   "language": "Python",123   "lines": 2386,124   "truncated": false,125   "block": 9,126   "row": 12655127  },128  {129   "path": "facemap/gui/guiparts.py",130   "sha256": "bec33ef99ce9688fb73875cadea31ea6e54d4b4448593fda2f82b417cfb9ef5b",131   "language": "Python",132   "lines": 606,133   "truncated": false,134   "block": 9,135   "row": 11928136  },137  {138   "path": "facemap/gui/help_windows.py",139   "sha256": "f7bdf1f72c23f79ff02b0fdafdeba7b48b5cde2df062ea6b87c34ee9215ab4a8",140   "language": "Python",141   "lines": 546,142   "truncated": false,143   "block": 9,144   "row": 12006145  },146  {147   "path": "facemap/gui/io.py",148   "sha256": "c5647e5aa8f3214f0248a75fc6207b7926dd4b31db0d62b20d49f485c8326990",149   "language": "Python",150   "lines": 518,151   "truncated": false,152   "block": 9,153   "row": 11771154  },155  {156   "path": "facemap/gui/menus.py",157   "sha256": "d4d26042ddef7eb081ff545b19a6e235421e1b9cd9b3df5a59b758423b3dd89b",158   "language": "Python",159   "lines": 130,160   "truncated": false,161   "block": 9,162   "row": 9339163  },164  {165   "path": "facemap/gui/neural_activity_window.py",166   "sha256": "6a3b8dcc96dd5256b4cc7c69de7326519bb5e70f20398ec589d6bf7dec3e8bf2",167   "language": "Python",168   "lines": 1052,169   "truncated": false,170   "block": 9,171   "row": 12487172  },173  {174   "path": "facemap/keypoints.py",175   "sha256": "25a85c06de11a1f845e658ade0c32f543d9229d0a64ed68bdf49ea5f2d2cfa36",176   "language": "Python",177   "lines": 196,178   "truncated": false,179   "block": 9,180   "row": 10122181  },182  {183   "path": "facemap/neural_prediction/keypoints_utils.py",184   "sha256": "db144d053668630afb3ad34743d2f5eb5590372cb3bb7d6effbe7fe1a252fce7",185   "language": "Python",186   "lines": 98,187   "truncated": false,188   "block": 9,189   "row": 8607190  },191  {192   "path": "facemap/neural_prediction/neural_activity.py",193   "sha256": "9dffef726f895444c5f87cbae72ac80990b789fff664d95f0a7430fe735cab33",194   "language": "Python",195   "lines": 191,196   "truncated": false,197   "block": 9,198   "row": 10092199  },200  {201   "path": "facemap/neural_prediction/neural_model.py",202   "sha256": "c4e6e483278df9146904be2b1a922374049ec718ed861604cf22c516cc0c21b0",203   "language": "Python",204   "lines": 462,205   "truncated": false,206   "block": 9,207   "row": 11547208  },209  {210   "path": "facemap/neural_prediction/prediction_utils.py",211   "sha256": "f8ba4277663418a6cf703dd1939d402506a9e866e0638ee14883af0afcb53f3a",212   "language": "Python",213   "lines": 745,214   "truncated": false,215   "block": 9,216   "row": 11984217  },218  {219   "path": "facemap/pose/datasets.py",220   "sha256": "18dd1eb94ec9cebfd726624bc647367f356ee1beef2ffea64ae659997670cadf",221   "language": "Python",222   "lines": 342,223   "truncated": false,224   "block": 9,225   "row": 11158226  },227  {228   "path": "facemap/pose/facemap_network.py",229   "sha256": "a3a0f5f2723d75da8845b05c5ec2008bbe0bdd3c9b92981df7255ba724cf236d",230   "language": "Python",231   "lines": 166,232   "truncated": false,233   "block": 9,234   "row": 9683235  },236  {237   "path": "facemap/pose/model_loader.py",238   "sha256": "fcd827b84e2762da741bb12e8361c66082f7524e6ea8701459fb9817da1c7bd5",239   "language": "Python",240   "lines": 163,241   "truncated": false,242   "block": 9,243   "row": 9530244  },245  {246   "path": "facemap/pose/model_training.py",247   "sha256": "8b69c0c0dbcfac618f79a4703738fb96ef3835aae2a476cb79945542a3bfdd97",248   "language": "Python",249   "lines": 281,250   "truncated": false,251   "block": 9,252   "row": 10781253  },254  {255   "path": "facemap/pose/pose.py",256   "sha256": "85a7b9a05d92bcd7e451e55a63b615db2132ffa103df57f055394a728b6ca146",257   "language": "Python",258   "lines": 532,259   "truncated": false,260   "block": 9,261   "row": 11829262  },263  {264   "path": "facemap/pose/pose_gui.py",265   "sha256": "f1f8ddb224e1b9dd7ae4c9976e89ec58f4b20fbdc7a4a13ea5987c21c31e4153",266   "language": "Python",267   "lines": 344,268   "truncated": false,269   "block": 9,270   "row": 11250271  },272  {273   "path": "facemap/pose/pose_helper_functions.py",274   "sha256": "e478010f9f2251109695759808b7066641dae904c052c91f1f77af790cd78c0e",275   "language": "Python",276   "lines": 274,277   "truncated": false,278   "block": 9,279   "row": 10617280  },281  {282   "path": "facemap/pose/refine_pose.py",283   "sha256": "1cee6e2726e4d0c19dc144253eff2641440f9ae813dec4596a5be273e2389cb8",284   "language": "Python",285   "lines": 1648,286   "truncated": false,287   "block": 9,288   "row": 12585289  },290  {291   "path": "facemap/pose/transforms.py",292   "sha256": "ef71e0db2f837c6c6eea35da7dcdcdea92c995db0f79c3eb55ff8b83d650d52d",293   "language": "Python",294   "lines": 551,295   "truncated": false,296   "block": 9,297   "row": 11580298  },299  {300   "path": "facemap/process.py",301   "sha256": "97ecd68de392b7182559417ae28f90f5351e303a2c89f937d4aadf5a0b806a0d",302   "language": "Python",303   "lines": 903,304   "truncated": false,305   "block": 9,306   "row": 12288307  },308  {309   "path": "facemap/pupil.py",310   "sha256": "ccf378e47b0f3ef3b0a929ee37c10366afea9e64a4282550c8aecc6a175462f8",311   "language": "Python",312   "lines": 166,313   "truncated": false,314   "block": 9,315   "row": 9721316  },317  {318   "path": "facemap/roi.py",319   "sha256": "d62e9af287d87db00b7780aa7e3d63e1e1291dc6622f767cb673fa8d04e332d4",320   "language": "Python",321   "lines": 450,322   "truncated": false,323   "block": 9,324   "row": 11669325  },326  {327   "path": "facemap/running.py",328   "sha256": "5f0973739e0e373f7899aef37844a5ce52c28b1db1612296d12aa68f4a184ff5",329   "language": "Python",330   "lines": 133,331   "truncated": false,332   "block": 9,333   "row": 9139334  },335  {336   "path": "facemap/utils.py",337   "sha256": "66682955ba71d1757207c790accb0ef7ec4ba29fefda59b946812dab9eca6cd5",338   "language": "Python",339   "lines": 776,340   "truncated": false,341   "block": 9,342   "row": 12059343  },344  {345   "path": "facemap/version.py",346   "sha256": "e5599af2bc298e3c7bfd922ec163a2c85c3b4355b48922c8d6a01e035dbed81e",347   "language": "Python",348   "lines": 23,349   "truncated": false,350   "block": 9,351   "row": 6678352  },353  {354   "path": "linter.sh",355   "sha256": "354543e49c723d12ee290acc81a5ae5c82d91beffc0da4a7ec72cdaf97b979a5",356   "language": "Shell",357   "lines": 9,358   "truncated": false,359   "block": 9,360   "row": 13905361  },362  {363   "path": "matlab/BatchProcess_standalone.m",364   "sha256": "e403dee58f9e762f7bbc3150f1be5c58356c1b31f200fd44c56c6ec1e33597de",365   "language": "MATLAB",366   "lines": 37,367   "truncated": false,368   "block": 9,369   "row": 3640370  },371  {372   "path": "matlab/computeSVDmotion.m",373   "sha256": "04a52a58bf42e65d0b61adb80ee670abbbe13231e39f52521c47145e55138dfb",374   "language": "MATLAB",375   "lines": 119,376   "truncated": false,377   "block": 9,378   "row": 4656379  },380  {381   "path": "matlab/figs/PlotFrame.m",382   "sha256": "dbfc37f2df1b4925463f39c052b020539707da26615bd1afd36e8a5996297030",383   "language": "MATLAB",384   "lines": 117,385   "truncated": false,386   "block": 9,387   "row": 4466388  },389  {390   "path": "matlab/figs/PlotROI.m",391   "sha256": "5ef4e9c2f75af0b6f70662d61a77b8094a60ada60f94420ec5c6199987795a1e",392   "language": "MATLAB",393   "lines": 102,394   "truncated": false,395   "block": 9,396   "row": 4505397  },398  {399   "path": "matlab/figs/plotSVDmasks.m",400   "sha256": "3d64ce993929c7d7ca6fb72c171e21f917a3f5e42cfa24bce65b108e6150b467",401   "language": "MATLAB",402   "lines": 24,403   "truncated": false,404   "block": 9,405   "row": 3256406  },407  {408   "path": "matlab/getfiles/MFquestdlg.m",409   "sha256": "cb5831c2778914a62fd934b8276710802e7c1abbf30d437ec62fc48083441ed0",410   "language": "MATLAB",411   "lines": 438,412   "truncated": false,413   "block": 9,414   "row": 5664415  },416  {417   "path": "matlab/getfiles/chooseFiles.m",418   "sha256": "cac2f68701f3e402c9ec710f1631e97b3eb143cad0da9716a92523e10f8bf17f",419   "language": "MATLAB",420   "lines": 113,421   "truncated": false,422   "block": 9,423   "row": 4667424  },425  {426   "path": "matlab/getfiles/findMovieFolders.m",427   "sha256": "92a1d6561a2bdd5c83bed67fdf042b99f7afb5686f96eb0b8249ecb005ff0889",428   "language": "MATLAB",429   "lines": 51,430   "truncated": false,431   "block": 9,432   "row": 3966433  },434  {435   "path": "matlab/getfiles/findallmov.m",436   "sha256": "c0c826a9da836bc97c8981fd5d5620aaff3c1c15d85304e33b0b48cea1264238",437   "language": "MATLAB",438   "lines": 23,439   "truncated": false,440   "block": 9,441   "row": 3349442  },443  {444   "path": "matlab/processROIs.m",445   "sha256": "0b708b48f83c5b47ae97cdcafc3e765f3935e52fc76a64bd3045ae8c9311dcfa",446   "language": "MATLAB",447   "lines": 45,448   "truncated": false,449   "block": 9,450   "row": 3659451  },452  {453   "path": "matlab/projectMasks.m",454   "sha256": "e56790257ac2e39eebf14ea7a11aba3894c29cb50cd2a106a982a0ae41bffecf",455   "language": "MATLAB",456   "lines": 180,457   "truncated": false,458   "block": 9,459   "row": 5061460  },461  {462   "path": "matlab/pupil/findGaussianContour.m",463   "sha256": "80abd28bad3168ffca9c67bef220a9706f40c762258806d97d2c4635bcde9e05",464   "language": "MATLAB",465   "lines": 69,466   "truncated": false,467   "block": 9,468   "row": 4252469  },470  {471   "path": "matlab/pupil/fitMVGaus.m",472   "sha256": "6238519378558162f76a52dd3d77b44b256924f9f69a1b60d5e41d08a1dc1c88",473   "language": "MATLAB",474   "lines": 40,475   "truncated": false,476   "block": 9,477   "row": 3730478  },479  {480   "path": "matlab/pupil/processPupil.m",481   "sha256": "48a2daf9a4cba952a6f589af82b3276287b4a1adc9fa5e7eb8e1048ddcbd897f",482   "language": "MATLAB",483   "lines": 10,484   "truncated": false,485   "block": 9,486   "row": 3046487  },488  {489   "path": "matlab/pupil/pupilplot.m",490   "sha256": "80c0a6469f9063a75e69ef94f47b79509888f6a665f42faab2727f23eb3820b1",491   "language": "MATLAB",492   "lines": 13,493   "truncated": false,494   "block": 9,495   "row": 3177496  },497  {498   "path": "matlab/pupil/smoothPupil.m",499   "sha256": "4264782b0c4ae551303f34c8151bccaaaffe69af7d425eb2729bf0574b01e4d9",500   "language": "MATLAB",501   "lines": 29,502   "truncated": false,503   "block": 9,504   "row": 3275505  },506  {507   "path": "matlab/running/processRunning.m",508   "sha256": "faae3b11272d38b80c92ccb302f23d49be4a6a790af2164c633d1f372646265d",509   "language": "MATLAB",510   "lines": 57,511   "truncated": false,512   "block": 9,513   "row": 3822514  },515  {516   "path": "matlab/running/runningFilters.m",517   "sha256": "1c53956945469c9dc13b87c55c9f9adade02981e91403e7a2416ee81e22e0896",518   "language": "MATLAB",519   "lines": 29,520   "truncated": false,521   "block": 9,522   "row": 3495523  },524  {525   "path": "matlab/saveROI.m",526   "sha256": "3dfdae3e5bed90cbd4b3697a61e6eb1ad2db3417731816bf6887607d76e9cd23",527   "language": "MATLAB",528   "lines": 77,529   "truncated": false,530   "block": 9,531   "row": 4104532  },533  {534   "path": "matlab/setROIs/drawROI.m",535   "sha256": "4979e386c355dc45d6088fac8328d48e3e7239e6e00f60403fe9f51542f9deba",536   "language": "MATLAB",537   "lines": 11,538   "truncated": false,539   "block": 9,540   "row": 3104541  },542  {543   "path": "matlab/setROIs/drawSmallROI.m",544   "sha256": "47face8c6c744f8b978851f61c084b6521ba6f8a13a4e230fe2d33b3a31fcd78",545   "language": "MATLAB",546   "lines": 25,547   "truncated": false,548   "block": 9,549   "row": 3352550  },551  {552   "path": "matlab/setROIs/onScreenROI.m",553   "sha256": "4f9c1b03b01a325afcd73ce5c0a8805d6fafeef82d563585d249b376181ed617",554   "language": "MATLAB",555   "lines": 7,556   "truncated": false,557   "block": 9,558   "row": 3017559  },560  {561   "path": "matlab/setROIs/resetROIs.m",562   "sha256": "41bdad67b6a2d04b83d5fd13803a4b4148e4e4b62bd0fc2eccb8c66ee06f1dff",563   "language": "MATLAB",564   "lines": 8,565   "truncated": false,566   "block": 9,567   "row": 2986568  },569  {570   "path": "matlab/setROIs/resizeROIs.m",571   "sha256": "594bfcbd27c0dd370de2a1581c8397a902cdf5fea56ffaa7331ea6a0519fcca5",572   "language": "MATLAB",573   "lines": 30,574   "truncated": false,575   "block": 9,576   "row": 3552577  },578  {579   "path": "matlab/subsampledMean.m",580   "sha256": "c6e5f3e209b6086ce82411ea79ee0c741ffd8a2a005e8616262f0e4b3b9aba52",581   "language": "MATLAB",582   "lines": 105,583   "truncated": false,584   "block": 9,585   "row": 4491586  },587  {588   "path": "matlab/utils/gather_try.m",589   "sha256": "6d974a2a5366c7bc8abcdcde455e01ff28c4169ae7b1613677f277248db27939",590   "language": "MATLAB",591   "lines": 6,592   "truncated": false,593   "block": 3,594   "row": 8195595  },596  {597   "path": "matlab/utils/kern.m",598   "sha256": "9c6efc788da3657970181d54d71975ce22f839a98541adf08a8fcac86b949af2",599   "language": "MATLAB",600   "lines": 9,601   "truncated": false,602   "block": 9,603   "row": 2932604  },605  {606   "path": "matlab/utils/my_conv2.m",607   "sha256": "ca2296d2541e55fc61eca572a083bb9708a838864f741fd5c712237ccb55504e",608   "language": "MATLAB",609   "lines": 52,610   "truncated": false,611   "block": 9,612   "row": 3881613  },614  {615   "path": "matlab/utils/my_subplot.m",616   "sha256": "e1b51402b2e0aace1e130b2fe3bb57dc353eb1f1924064ac67077ba6454c0ebf",617   "language": "MATLAB",618   "lines": 13,619   "truncated": false,620   "block": 9,621   "row": 3056622  },623  {624   "path": "matlab/utils/normc.m",625   "sha256": "2d2aafda4320115432a3d4321fa8ec1f2fd65062aa23de9f4efc1a6f55184070",626   "language": "MATLAB",627   "lines": 4,628   "truncated": false,629   "block": 9,630   "row": 2940631  },632  {633   "path": "matlab/utils/redblue.m",634   "sha256": "e75c5fcb7a3dafe7178e44d2acaf83deae17fce723f49732cbf5905185d9e8df",635   "language": "MATLAB",636   "lines": 39,637   "truncated": false,638   "block": 6,639   "row": 6790640  },641  {642   "path": "matlab/utils/svdecon.m",643   "sha256": "924b9c29a78369a80a3a3f08ba0acb3d96be39c78188f8311c3bc1260526dc80",644   "language": "MATLAB",645   "lines": 43,646   "truncated": false,647   "block": 9,648   "row": 3496649  },650  {651   "path": "paper/fig1.py",652   "sha256": "4e6b3d3bbee6f5b5a4ed0806fb9786dd471a100b6cafdc74d04eafc5256afb40",653   "language": "Python",654   "lines": 412,655   "truncated": false,656   "block": 9,657   "row": 11786658  },659  {660   "path": "paper/fig3.py",661   "sha256": "8488ffa685781b6c2ea20da36e3621a4b9c184fd813334f6027ff506ba9239ab",662   "language": "Python",663   "lines": 434,664   "truncated": false,665   "block": 9,666   "row": 11587667  },668  {669   "path": "paper/fig4.py",670   "sha256": "5e1bfd39276f99eb1c8e6dcc27c3dbaafeab62f96e3ccefc37750e502b8f2e58",671   "language": "Python",672   "lines": 307,673   "truncated": false,674   "block": 9,675   "row": 10902676  },677  {678   "path": "paper/fig_utils.py",679   "sha256": "b0467c46d7cbf08b5cc35859b9d3cce049dd85d5bd3c4aeebc91ba0baa792ad1",680   "language": "Python",681   "lines": 119,682   "truncated": false,683   "block": 9,684   "row": 8468685  },686  {687   "path": "paper/kpsproc.py",688   "sha256": "2d51a615bdfe0fd03c9eba5fea3dace790a4e6903c89ae0d1553f0a2ce0a3402",689   "language": "Python",690   "lines": 82,691   "truncated": false,692   "block": 9,693   "row": 8319694  },695  {696   "path": "paper/neuralpred.py",697   "sha256": "638d50ced23c97285047bd307459dbabc100ac4a22e6d4029aabdbfb604114bc",698   "language": "Python",699   "lines": 786,700   "truncated": false,701   "block": 9,702   "row": 12149703  },704  {705   "path": "paper/suppfigs.py",706   "sha256": "13400757eae432fcb2d56a4cdb63fd4261f6d0378c09f84a2a078446fd2c51c6",707   "language": "Python",708   "lines": 387,709   "truncated": false,710   "block": 9,711   "row": 11289712  },713  {714   "path": "setup.py",715   "sha256": "f1148bfdf610b1d04517ae155b8a45ec3de0851023f38fc7be8b06c2f4abb45f",716   "language": "Python",717   "lines": 72,718   "truncated": false,719   "block": 9,720   "row": 7729721  },722  {723   "path": "tests/conftest.py",724   "sha256": "b4f4d96950f6b1b54b105059881e8897e55227ccd0eb1b9d8a222d677ea3261a",725   "language": "Python",726   "lines": 126,727   "truncated": false,728   "block": 9,729   "row": 8886730  },731  {732   "path": "tests/test_import.py",733   "sha256": "b16ac42b5937d6b0e1d89b564276001e032b75b66bc5dd0a3debd47ae8331c15",734   "language": "Python",735   "lines": 27,736   "truncated": false,737   "block": 9,738   "row": 6739739  },740  {741   "path": "tests/test_neural_prediction_output.py",742   "sha256": "432a455a2cc37aa0943fe9aa4c736656f935fb760ffa87f3bd2b146610822f4b",743   "language": "Python",744   "lines": 6,745   "truncated": false,746   "block": 9,747   "row": 6430748  },749  {750   "path": "tests/test_pose_estimation_output.py",751   "sha256": "0ae0db51a4385def9778f277e518d65002342e203f609b910b3d57cc40daaeab",752   "language": "Python",753   "lines": 49,754   "truncated": false,755   "block": 9,756   "row": 7513757  },758  {759   "path": "tests/test_svd_output.py",760   "sha256": "e58b286352765ec6182b026cb361a8f08880aee80a0a2f9e4d8a4ff7f3baf0eb",761   "language": "Python",762   "lines": 156,763   "truncated": false,764   "block": 9,765   "row": 9957766  },767  {768   "path": "tooldproc.m",769   "sha256": "9375a05528c1720dcd6fd18237515f17e71826919b16ae719aa168576b5b22f9",770   "language": "MATLAB",771   "lines": 19,772   "truncated": false,773   "block": 9,774   "row": 3366775  }776 ]777}