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
0likes5.6kdownloads
github.com__arcascope__pisces2.json813 linesDownload Raw Back to e7
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/arcascope/pisces2",4 "url": "https://www.github.com/arcascope/pisces2",5 "host": "github.com",6 "commit": "f6b70fe17e1e2b8a818762fd9eac3e2a40e40260",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "2c96eb4d8b93c6c8b92553eed8d42af1d471c746ae934d11b7364bf7e51a6c29",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 6,18   "row": 161519  },20  {21   "path": "README.md",22   "sha256": "919a2128a412e20add90c24818275e2a46f8502b14e79e4ccade1d9e7847404d",23   "language": "Text",24   "lines": 194,25   "truncated": false,26   "block": 8,27   "row": 1054528  },29  {30   "path": "build_docker.sh",31   "sha256": "a1ccc434c3df4ebe04ae354e8f1a399646b9978d316b8301410bd99a1a434d91",32   "language": "Shell",33   "lines": 19,34   "truncated": false,35   "block": 8,36   "row": 675937  },38  {39   "path": "build_jax.sh",40   "sha256": "4fd2cf000961641b1026703b4a4a602565978320724c20badb1bc70453027dbf",41   "language": "Shell",42   "lines": 19,43   "truncated": false,44   "block": 8,45   "row": 677046  },47  {48   "path": "combine_shards.py",49   "sha256": "a135234458632a43b3683686b131bf77a632ed15fb8641d0424ba6b99ea04646",50   "language": "Python",51   "lines": 212,52   "truncated": false,53   "block": 6,54   "row": 4392455  },56  {57   "path": "deep_kernel_analysis.py",58   "sha256": "a52261f1bf49a4a2bbcc7adb39cd65c9455bc93aa21373b31aa5848564716f9b",59   "language": "Python",60   "lines": 667,61   "truncated": false,62   "block": 7,63   "row": 955664  },65  {66   "path": "feature_cache_plot.py",67   "sha256": "9283a4039410dce4288036113e7319317e54aa70ba9af77537d54ecb39971009",68   "language": "Python",69   "lines": 430,70   "truncated": false,71   "block": 7,72   "row": 617473  },74  {75   "path": "feature_stats.py",76   "sha256": "665a18898853e01e873009cb16740f58fabea997abed51c24cc966a1bb0c6c6f",77   "language": "Python",78   "lines": 191,79   "truncated": false,80   "block": 6,81   "row": 4304082  },83  {84   "path": "final_figures/etc_demo.py",85   "sha256": "b1e023f924aabb13934099b36258db33d567589a3b2d1ab0ce74bb4be1db394d",86   "language": "Python",87   "lines": 234,88   "truncated": false,89   "block": 6,90   "row": 4561491  },92  {93   "path": "final_figures/high_etc_example.py",94   "sha256": "119bb6250acfea59205031f3558df79b6189479488c6e20b0e96ac63b1d3e542",95   "language": "Python",96   "lines": 156,97   "truncated": false,98   "block": 6,99   "row": 40955100  },101  {102   "path": "fresh_start.sh",103   "sha256": "c45a6e17ce21a0d6dbcf5c82a48d33c92a1c008efb4e59a61ef1f3e0a91407ea",104   "language": "Shell",105   "lines": 16,106   "truncated": false,107   "block": 8,108   "row": 6667109  },110  {111   "path": "hard_reset.sh",112   "sha256": "6289431b18d25f70477993a959aa28c37b39ab28c7a4c243823b8d709da2f184",113   "language": "Shell",114   "lines": 15,115   "truncated": false,116   "block": 8,117   "row": 6881118  },119  {120   "path": "local_run.sh",121   "sha256": "051b56712c4420b75f6654446ffec4586e90685c8b0c813444f21817b071f8d6",122   "language": "Shell",123   "lines": 18,124   "truncated": false,125   "block": 8,126   "row": 6911127  },128  {129   "path": "lp.py",130   "sha256": "f7b0defdeeb73b03a027923a91da9eb1259837d73b01f4b44fa20892a279908d",131   "language": "Python",132   "lines": 5,133   "truncated": false,134   "block": 6,135   "row": 20575136  },137  {138   "path": "make_all_plots.sh",139   "sha256": "f356288df080d2e784154f711187fcb97eb57bb52378a03cda520a4cf740894c",140   "language": "Shell",141   "lines": 81,142   "truncated": false,143   "block": 8,144   "row": 8728145  },146  {147   "path": "make_mape.sh",148   "sha256": "a1e553a22b62f9ae047c7c3fab6471eac23000dd49ca305129f9aef2ca11da91",149   "language": "Shell",150   "lines": 14,151   "truncated": false,152   "block": 8,153   "row": 7075154  },155  {156   "path": "mape_plots.py",157   "sha256": "8164ee7be800563ab6eace723b39ca34bd077a707cae2830c62851ae5e14edfc",158   "language": "Python",159   "lines": 576,160   "truncated": false,161   "block": 7,162   "row": 9118163  },164  {165   "path": "notebooks/combine_multiple_experiments.ipynb",166   "sha256": "cd1648391d1b120aa460090dd7df432fe3f8e96430fb532621603d5940cc2cce",167   "language": "Jupyter",168   "lines": 189,169   "truncated": false,170   "block": 5,171   "row": 16891172  },173  {174   "path": "notebooks/dreamt_eda.ipynb",175   "sha256": "c17ecbee3c84dc7907832b3ce8a6e5a6f616346033621bd601108d65f292a606",176   "language": "Jupyter",177   "lines": 75,178   "truncated": false,179   "block": 5,180   "row": 16185181  },182  {183   "path": "notebooks/easy_wake_vs_auroc.ipynb",184   "sha256": "03793b31c49b5281fa99c737191f71f51a27eb042f166596ee9b85f3e70d4f18",185   "language": "Jupyter",186   "lines": 469,187   "truncated": false,188   "block": 6,189   "row": 661190  },191  {192   "path": "notebooks/inter_run_variance.ipynb",193   "sha256": "a8d6c63b86f64c9175536953d3e2068ae7dd423be931d0c34e093bb6a39dd6d3",194   "language": "Jupyter",195   "lines": 73,196   "truncated": false,197   "block": 5,198   "row": 16395199  },200  {201   "path": "notebooks/scratch.ipynb",202   "sha256": "346e1f3e2cc38c509c9ccf91bd7ce618f9334c3f50307c20ff93a7f57edae0cd",203   "language": "Jupyter",204   "lines": 56,205   "truncated": false,206   "block": 5,207   "row": 16046208  },209  {210   "path": "notebooks/seed.ipynb",211   "sha256": "799e7d6dd1c36be0fe1fda90ec0e8a017865e0d2f82bfa7155fca0f39a41bb74",212   "language": "Jupyter",213   "lines": 31,214   "truncated": false,215   "block": 5,216   "row": 16003217  },218  {219   "path": "notebooks/senpy.ipynb",220   "sha256": "daabd404751004abdff73a7987e82ff0ca5f3fca28820c598ff0d5825d65b2fe",221   "language": "Jupyter",222   "lines": 813,223   "truncated": false,224   "block": 6,225   "row": 839226  },227  {228   "path": "run_config.py",229   "sha256": "3ecd2e8d07bc84bd3b8d1618f2f39f4700c6517ab7f81ed54b9457124210625b",230   "language": "Python",231   "lines": 544,232   "truncated": false,233   "block": 7,234   "row": 7732235  },236  {237   "path": "run_cpu.sh",238   "sha256": "551f7d7e394ffbf09959dd9e761a9c82366db0b7fe688897d71c4720552d0a0d",239   "language": "Shell",240   "lines": 61,241   "truncated": false,242   "block": 8,243   "row": 8363244  },245  {246   "path": "run_lstm.sh",247   "sha256": "f766daae5bcbbb7a8fb2bc5d999c4a7796ba68e306c8e623e136f580126c6349",248   "language": "Shell",249   "lines": 15,250   "truncated": false,251   "block": 8,252   "row": 6928253  },254  {255   "path": "scripts/accelerometer_report.py",256   "sha256": "9f2322ea3d557c855117de027069f0260494dc1238745b3d040792f16dcc6d47",257   "language": "Python",258   "lines": 163,259   "truncated": false,260   "block": 6,261   "row": 42007262  },263  {264   "path": "scripts/convert_timestamps.py",265   "sha256": "e48d8bbd196df97e4c0deffcc0de31ee70c63a427916b66a42a8aef528655090",266   "language": "Python",267   "lines": 183,268   "truncated": false,269   "block": 6,270   "row": 44115271  },272  {273   "path": "src/pisces2/__about__.py",274   "sha256": "5f26eddac90165a98630d94bb8e5f5206fa1e2e231a940c600ef0c2065ab25a7",275   "language": "Python",276   "lines": 1,277   "truncated": false,278   "block": 6,279   "row": 20154280  },281  {282   "path": "src/pisces2/arcana.py",283   "sha256": "99e550f2115dabf56b054251966b0aedfde51229e975ea16a9aa300a48f65c52",284   "language": "Python",285   "lines": 257,286   "truncated": false,287   "block": 7,288   "row": 3712289  },290  {291   "path": "src/pisces2/configuration/__init__.py",292   "sha256": "0de8e0b6599697481f89a5e46c1529760e61769f9d684c18c98a462d8193c994",293   "language": "Python",294   "lines": 50,295   "truncated": false,296   "block": 6,297   "row": 33257298  },299  {300   "path": "src/pisces2/configuration/config_loader.py",301   "sha256": "139d5ff1c4caa203f7acccad04a7cc0e4651e29a34c07ba8d3fe9bd4463f26e7",302   "language": "Python",303   "lines": 252,304   "truncated": false,305   "block": 7,306   "row": 636307  },308  {309   "path": "src/pisces2/configuration/cv_configuration.py",310   "sha256": "39b837c8e1727ebe9c2496bbb52bb2f44466b3de5111bd28291b372ad4b2f28f",311   "language": "Python",312   "lines": 111,313   "truncated": false,314   "block": 6,315   "row": 38967316  },317  {318   "path": "src/pisces2/configuration/model_configuration.py",319   "sha256": "a7a0fbe6814e188af102eef1fbd7bddc47d435ae976c2bf725d8d425c33eb133",320   "language": "Python",321   "lines": 50,322   "truncated": false,323   "block": 6,324   "row": 28968325  },326  {327   "path": "src/pisces2/configuration/processing_configuration.py",328   "sha256": "f8e7d431604bfab13333b1df102907f92f1cf81ce7b958a7b6feb4da0bb8b7f0",329   "language": "Python",330   "lines": 382,331   "truncated": false,332   "block": 7,333   "row": 6416334  },335  {336   "path": "src/pisces2/configuration/training_configuration.py",337   "sha256": "eb7c7a46af14d861ebc011257dac47c376a30e5d93fe6904fe2a8bb77962add5",338   "language": "Python",339   "lines": 31,340   "truncated": false,341   "block": 6,342   "row": 25061343  },344  {345   "path": "src/pisces2/constants.py",346   "sha256": "f54faf8b8248b735d2477d7691ec11eef7c97725f7da74db16d914f40eff9b49",347   "language": "Python",348   "lines": 137,349   "truncated": false,350   "block": 6,351   "row": 37034352  },353  {354   "path": "src/pisces2/cross_validation.py",355   "sha256": "a9a5b42a93c69fea71297a5f24192d5388b2f55a33ef79807dd8c7df2e20c3e8",356   "language": "Python",357   "lines": 913,358   "truncated": false,359   "block": 7,360   "row": 11011361  },362  {363   "path": "src/pisces2/csv_analysis.py",364   "sha256": "d328338885bc33a4c01b58fe3cb2f0a3472da4c2927ca45404c30611ed509c56",365   "language": "Python",366   "lines": 155,367   "truncated": false,368   "block": 6,369   "row": 39873370  },371  {372   "path": "src/pisces2/cv_orchestrator.py",373   "sha256": "a9acccab1eb08a2eb2a6b02bc9676a5419ba866bb92f725cee4378c3b6741092",374   "language": "Python",375   "lines": 394,376   "truncated": false,377   "block": 7,378   "row": 6777379  },380  {381   "path": "src/pisces2/cv_scorer.py",382   "sha256": "56e11776642b217c17139befaf6833b6940a7ab037e41261c650ca8840f6220f",383   "language": "Python",384   "lines": 717,385   "truncated": false,386   "block": 7,387   "row": 10290388  },389  {390   "path": "src/pisces2/data_pipeline.py",391   "sha256": "c3876b3131dc58f5842983d83f0e99920f140b054d7d5f57a1cbc5612d82e5c2",392   "language": "Python",393   "lines": 230,394   "truncated": false,395   "block": 7,396   "row": 564397  },398  {399   "path": "src/pisces2/data_sets/__init__.py",400   "sha256": "8ccc5928b22d1aa3b2421a8f8b8090282b15b825f8b935adc0da4160e2a74a29",401   "language": "Python",402   "lines": 87,403   "truncated": false,404   "block": 6,405   "row": 31757406  },407  {408   "path": "src/pisces2/data_sets/data_loading.py",409   "sha256": "1a1f93d30897ae128e24c4066406ff8175b347ae80dded7e7616bbf04e33e5ec",410   "language": "Python",411   "lines": 66,412   "truncated": false,413   "block": 6,414   "row": 32629415  },416  {417   "path": "src/pisces2/data_sets/data_processing.py",418   "sha256": "2498b891e85653ce9df9567ee6bd3b9f67fbd7d14abb96d5dcef67ba2a6e9a5f",419   "language": "Python",420   "lines": 240,421   "truncated": false,422   "block": 7,423   "row": 1972424  },425  {426   "path": "src/pisces2/data_sets/data_set_object.py",427   "sha256": "02db2a87762abd77b4372bd132884512447013409b66f494683d1b09a306c048",428   "language": "Python",429   "lines": 422,430   "truncated": false,431   "block": 7,432   "row": 7325433  },434  {435   "path": "src/pisces2/features.py",436   "sha256": "3629f36370efb345c451745cc650e94bcd198416caa57d57fedf8b116d6a1d32",437   "language": "Python",438   "lines": 381,439   "truncated": false,440   "block": 7,441   "row": 5406442  },443  {444   "path": "src/pisces2/kernel_analysis.py",445   "sha256": "3e8ef677ca33da747cf48bb0aa5283045c486ec27f788c48569ac1b8d277beb4",446   "language": "Python",447   "lines": 1920,448   "truncated": false,449   "block": 8,450   "row": 705451  },452  {453   "path": "src/pisces2/live_plotting.py",454   "sha256": "a3aa287f7c44104cbd78fd0ef29bc5671688cecb97cfed86254610313bbbe0aa",455   "language": "Python",456   "lines": 3063,457   "truncated": false,458   "block": 8,459   "row": 1075460  },461  {462   "path": "src/pisces2/masked_metrics.py",463   "sha256": "69e096739eaaa8c49a9d31e1f933dd2f45dffa81422f425464d28a7ae566935b",464   "language": "Python",465   "lines": 173,466   "truncated": false,467   "block": 6,468   "row": 43183469  },470  {471   "path": "src/pisces2/model_io.py",472   "sha256": "a30de04f82026cba685d35bd377ef7781f24243e6d3238fbeb80e21de7c916e4",473   "language": "Python",474   "lines": 277,475   "truncated": false,476   "block": 7,477   "row": 4988478  },479  {480   "path": "src/pisces2/models/__init__.py",481   "sha256": "dd1ac988f6762292a5f49073156888bc81697aa3d9fc7d0499c7e54259ece3ab",482   "language": "Python",483   "lines": 116,484   "truncated": false,485   "block": 6,486   "row": 39137487  },488  {489   "path": "src/pisces2/models/conv_models.py",490   "sha256": "7bee1672cde47de95ef321f30af2822b00ba7c27aa5ac3ed62bf8ef81edaaeea",491   "language": "Python",492   "lines": 624,493   "truncated": false,494   "block": 7,495   "row": 9252496  },497  {498   "path": "src/pisces2/models/cv_keras_wrapper.py",499   "sha256": "91d009e720c0f85377a89fa9acede1a8dba58760953955f7eb5b25458f0b70a0",500   "language": "Python",501   "lines": 114,502   "truncated": false,503   "block": 6,504   "row": 39182505  },506  {507   "path": "src/pisces2/models/cv_model.py",508   "sha256": "03f431dc56e88f2a288c3ac60469ed0f2a960e56d53cde0298f6cfc58fac622e",509   "language": "Python",510   "lines": 136,511   "truncated": false,512   "block": 6,513   "row": 40196514  },515  {516   "path": "src/pisces2/models/easy_to_classify_wake.py",517   "sha256": "e1dc33e19904d1dbd820ad10906d92e9f0af6055a67877820d2b72f102fadc5a",518   "language": "Python",519   "lines": 492,520   "truncated": false,521   "block": 7,522   "row": 7808523  },524  {525   "path": "src/pisces2/models/gp_kl.py",526   "sha256": "3637e433580cd98e5fb32adbe02d4597dc48e16bb64e1f903cc5497c3b4a2346",527   "language": "Python",528   "lines": 443,529   "truncated": false,530   "block": 7,531   "row": 7043532  },533  {534   "path": "src/pisces2/models/logistic_regression.py",535   "sha256": "8b9d7a42f62c175c2fd38e13cda11769532a72efddaf5ae2d62af6ce118d777b",536   "language": "Python",537   "lines": 279,538   "truncated": false,539   "block": 7,540   "row": 1458541  },542  {543   "path": "src/pisces2/models/model_analyzer.py",544   "sha256": "793cddc5a5cc899a710678923cf5ff7ec0e37abf58c884e1448272e365b1da86",545   "language": "Python",546   "lines": 47,547   "truncated": false,548   "block": 6,549   "row": 30276550  },551  {552   "path": "src/pisces2/models/random_forests.py",553   "sha256": "6a1b58c947929aad050e42e319fc9a324379d20e755b4e225c66bbfba0a0b2c8",554   "language": "Python",555   "lines": 295,556   "truncated": false,557   "block": 7,558   "row": 2845559  },560  {561   "path": "src/pisces2/models/regularizers.py",562   "sha256": "0797ae12fb3be94742c24ab79b63a3a81035046789c8b4e20f200a5bcaa51421",563   "language": "Python",564   "lines": 130,565   "truncated": false,566   "block": 6,567   "row": 40814568  },569  {570   "path": "src/pisces2/models/spectral_unet_transformer.py",571   "sha256": "bd997f9929289d0ebd2909489afe16ee3ad5305f8579efe886e54cc0a4c8dee1",572   "language": "Python",573   "lines": 784,574   "truncated": false,575   "block": 7,576   "row": 10299577  },578  {579   "path": "src/pisces2/models/transformer_model.py",580   "sha256": "a4bb16bebc82f1b73820a9a206beaff42b4f19afcc8d3c9ab40fbcb63739e569",581   "language": "Python",582   "lines": 685,583   "truncated": false,584   "block": 7,585   "row": 9695586  },587  {588   "path": "src/pisces2/models/weaver_lstm.py",589   "sha256": "65588590965490956ecb353a1aabfc34a6fbb59f684ff6ffdd3c0a45af42bad2",590   "language": "Python",591   "lines": 274,592   "truncated": false,593   "block": 7,594   "row": 2204595  },596  {597   "path": "src/pisces2/plotting.py",598   "sha256": "fa09a8e8cf6b1d9d4bed8aca509660b4d2f400e6c75f28ca8bbf88cae095f3c1",599   "language": "Python",600   "lines": 2228,601   "truncated": false,602   "block": 8,603   "row": 785604  },605  {606   "path": "src/pisces2/processing.py",607   "sha256": "16b5d52d2556ce567833588b579d6cb7577a8d2a5931adc35311f9bf8032b6d6",608   "language": "Python",609   "lines": 665,610   "truncated": false,611   "block": 7,612   "row": 9440613  },614  {615   "path": "src/pisces2/roc_analysis.py",616   "sha256": "ea448f6b0bb6b12d2785d610fb6f2d464f6da5440c9dbd72a6916d673c10b60d",617   "language": "Python",618   "lines": 263,619   "truncated": false,620   "block": 7,621   "row": 524622  },623  {624   "path": "src/pisces2/saving/__init__.py",625   "sha256": "ec5f4df552d1ca7753b14145e206541536ad6df97ee41cfb2c38651d8d211a17",626   "language": "Python",627   "lines": 3,628   "truncated": false,629   "block": 6,630   "row": 20606631  },632  {633   "path": "src/pisces2/saving/pisces_archive.py",634   "sha256": "3153e4072a325d610db3cb261551fa2745f8aba51a5ea1c4852c1f9f44ec9d9b",635   "language": "Python",636   "lines": 110,637   "truncated": false,638   "block": 6,639   "row": 37473640  },641  {642   "path": "src/pisces2/scoring.py",643   "sha256": "5ba808c0f29159dbe6d53836c15e28e321ee24ff6e6937b4efc4f9cbf858cf1e",644   "language": "Python",645   "lines": 859,646   "truncated": false,647   "block": 7,648   "row": 10693649  },650  {651   "path": "src/pisces2/stats.py",652   "sha256": "43c193b44c1b9689b234a1038eac0fff3a9a1117e65ce53c1442c17c954cd961",653   "language": "Python",654   "lines": 8,655   "truncated": false,656   "block": 6,657   "row": 21486658  },659  {660   "path": "src/pisces2/utils.py",661   "sha256": "28e70c71a075338d15d543517676caa92db97468c8d3773dc3a4706c1bb3491f",662   "language": "Python",663   "lines": 208,664   "truncated": false,665   "block": 6,666   "row": 44962667  },668  {669   "path": "tests/conftest.py",670   "sha256": "2f7bb8b89d815831419030a819c639ee57b3453d010865fdac02a0db268c4599",671   "language": "Python",672   "lines": 36,673   "truncated": false,674   "block": 6,675   "row": 26058676  },677  {678   "path": "tests/test_configuration.py",679   "sha256": "e10383d4c30478642d7528b86c8a5e8eb11541b8ae262cba9ae1d0e36efaa596",680   "language": "Python",681   "lines": 110,682   "truncated": false,683   "block": 6,684   "row": 38644685  },686  {687   "path": "tests/test_cv_scorer.py",688   "sha256": "a28753e51501f8ae3ecf805909b4202d502fee72df9b460b3d77c82d4ee2755f",689   "language": "Python",690   "lines": 365,691   "truncated": false,692   "block": 7,693   "row": 4733694  },695  {696   "path": "tests/test_features.py",697   "sha256": "8f226a6674de3f0781123cbafcd430315df87d4db6564c83ee692cf6202bc986",698   "language": "Python",699   "lines": 70,700   "truncated": false,701   "block": 6,702   "row": 33012703  },704  {705   "path": "tests/test_integration.py",706   "sha256": "d07db643102577e9b78a773cb1d84827306c98f73f6a75349cf4453d6015d3bf",707   "language": "Python",708   "lines": 177,709   "truncated": false,710   "block": 6,711   "row": 41842712  },713  {714   "path": "tests/test_kernel_analysis_simple.py",715   "sha256": "545f0fbf9927e487e6986bcc3ada265beebee0f87493bed1f2db7fc6c1516f8a",716   "language": "Python",717   "lines": 70,718   "truncated": false,719   "block": 6,720   "row": 31652721  },722  {723   "path": "tests/test_model_io.py",724   "sha256": "fed5cc107c27e8064f8552bebf2d0d76c23217382f4ae28bba0e2e26de247b26",725   "language": "Python",726   "lines": 188,727   "truncated": false,728   "block": 6,729   "row": 44205730  },731  {732   "path": "tests/test_model_serialization.py",733   "sha256": "3368ac9fe8feed51ee73ba7a1f29b1cc08286484ea6a9ba12e243cebd884354e",734   "language": "Python",735   "lines": 443,736   "truncated": false,737   "block": 7,738   "row": 7326739  },740  {741   "path": "tests/test_processing.py",742   "sha256": "9573efba0b65a63735a594710074d90243bd181d4f25b90b01b18aa72bdd4a82",743   "language": "Python",744   "lines": 174,745   "truncated": false,746   "block": 6,747   "row": 43789748  },749  {750   "path": "tests/test_processing_configuration.py",751   "sha256": "fde689f6e1f9cfcc9740c119ba83f2269a0fa04e9a714eda6946a4e3aee56666",752   "language": "Python",753   "lines": 47,754   "truncated": false,755   "block": 6,756   "row": 27358757  },758  {759   "path": "tests/test_regularizers.py",760   "sha256": "924814a65984b8952f3b349cc6b8b2cdd613130003ecefa000d1d1613fb3328d",761   "language": "Python",762   "lines": 68,763   "truncated": false,764   "block": 6,765   "row": 35095766  },767  {768   "path": "tests/test_scoring.py",769   "sha256": "ce236a9c7c8a641b1d4647f7867c21c387cd2676c32933fc56300b275d4cad21",770   "language": "Python",771   "lines": 515,772   "truncated": false,773   "block": 7,774   "row": 7988775  },776  {777   "path": "tests/test_spectral_unet_transformer.py",778   "sha256": "0279b83b85b0d61ba04b1d943ce8fae9eefb36af64205c722e2721f629a6edc7",779   "language": "Python",780   "lines": 176,781   "truncated": false,782   "block": 6,783   "row": 41211784  },785  {786   "path": "tests/test_trunet_savez_roundtrip.py",787   "sha256": "2e5d009419eda0d465238cee43f9d11941b5352e18479e52cbfcf84ebb0e448c",788   "language": "Python",789   "lines": 346,790   "truncated": false,791   "block": 7,792   "row": 4726793  },794  {795   "path": "tests/test_utils.py",796   "sha256": "c50bbde294b61520d1a284a630f619f0f6039201fae6b40e38819ab41e41dbe4",797   "language": "Python",798   "lines": 105,799   "truncated": false,800   "block": 6,801   "row": 37560802  },803  {804   "path": "warning_grep.sh",805   "sha256": "80b0d8846e7beac1c2610733545c47cf512f0776cf55d896f4c18b3884e4b093",806   "language": "Shell",807   "lines": 2,808   "truncated": false,809   "block": 8,810   "row": 6429811  }812 ]813}