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.
05.6k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/project-improv/improv",4 "url": "https://github.com/project-improv/improv",5 "host": "github.com",6 "commit": "e267cc05030c7ac5b470a4cd1d53e3d505f9ec1e",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "230582a01e91fb8c47b4545f2555fbfee83e193349a62e91c7da909f7527010e",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 14,18 "row": 1707819 },20 {21 "path": "README.md",22 "sha256": "2e3b1f42a4ad958d64c2522793351bac7a5dd0713ae9e86bc05d6bbf117e6ce2",23 "language": "Text",24 "lines": 44,25 "truncated": false,26 "block": 16,27 "row": 735828 },29 {30 "path": "demos/1p_caiman/actors/1p_processor.py",31 "sha256": "0352c2d29ee1316a23658b7509f9f08119b89c8b3a76f49e3806d7220a581ddf",32 "language": "Python",33 "lines": 155,34 "truncated": false,35 "block": 15,36 "row": 1780237 },38 {39 "path": "demos/1p_caiman/actors/front_end.py",40 "sha256": "85a9ed127f9de4f475633c890d69cac77ac6da2db1c8c4d56db0a4334dd5124a",41 "language": "Python",42 "lines": 477,43 "truncated": false,44 "block": 15,45 "row": 2427746 },47 {48 "path": "demos/1p_caiman/actors/improv_basic.py",49 "sha256": "6eb5f559ebf310ea7ccdafcd7e93cbfb63626e8dafa008f4979a2ebe42417020",50 "language": "Python",51 "lines": 350,52 "truncated": false,53 "block": 15,54 "row": 2406255 },56 {57 "path": "demos/1p_caiman/actors/visual.py",58 "sha256": "1b8cb6947e89f446c4bb35894c6fd0a19fff52e6be4c8c17d4295fb3e0a18566",59 "language": "Python",60 "lines": 245,61 "truncated": false,62 "block": 15,63 "row": 2079764 },65 {66 "path": "demos/basic/Behavior_demo.py",67 "sha256": "e2dfdd5426d541133afbfa768c42e8a77c98db194a8303576c8575bf22fa6152",68 "language": "Python",69 "lines": 23,70 "truncated": false,71 "block": 15,72 "row": 699273 },74 {75 "path": "demos/basic/actors/basic_processor.py",76 "sha256": "3b71d2b6be0733ff2839d13084136185a3774befbf5685f114e2536b9194cf03",77 "language": "Python",78 "lines": 247,79 "truncated": false,80 "block": 15,81 "row": 2201382 },83 {84 "path": "demos/basic/actors/behavior.py",85 "sha256": "a08c37b1c3e7c91adfcf7d9456b5f330f7fb063313f342f0744e9f7af7f5016c",86 "language": "Python",87 "lines": 126,88 "truncated": false,89 "block": 15,90 "row": 1552891 },92 {93 "path": "demos/basic/actors/front_end.py",94 "sha256": "a709e879cfe78166f0f76f4f7f8045982550656834ef40a066cabbc9f4ac5c49",95 "language": "Python",96 "lines": 481,97 "truncated": false,98 "block": 15,99 "row": 24307100 },101 {102 "path": "demos/basic/actors/improv_basic.py",103 "sha256": "6eb5f559ebf310ea7ccdafcd7e93cbfb63626e8dafa008f4979a2ebe42417020",104 "language": "Python",105 "lines": 350,106 "truncated": false,107 "block": 15,108 "row": 24062109 },110 {111 "path": "demos/basic/actors/visual.py",112 "sha256": "b7599dcfe17b994d04a25bf330e9e109f21c5efe3eee4a1588ec29c7f92790af",113 "language": "Python",114 "lines": 245,115 "truncated": false,116 "block": 15,117 "row": 20809118 },119 {120 "path": "demos/basic/basic_demo.py",121 "sha256": "5cba94ffdf098621a97a70ab76f46b662731dd4403e915726a8a60add76eac9c",122 "language": "Python",123 "lines": 23,124 "truncated": false,125 "block": 15,126 "row": 6985127 },128 {129 "path": "demos/bubblewrap/actors/acquire.py",130 "sha256": "c0ff2c4135a8cf374de105c1ac44fae2d26d2f6e5a822527eeaee36763cae2f4",131 "language": "Python",132 "lines": 96,133 "truncated": false,134 "block": 15,135 "row": 14703136 },137 {138 "path": "demos/bubblewrap/actors/bubble.py",139 "sha256": "0c3a9944f9789d367d13a3234970b620802e5079fad92a8e7d913f534596d4ee",140 "language": "Python",141 "lines": 90,142 "truncated": false,143 "block": 15,144 "row": 13056145 },146 {147 "path": "demos/bubblewrap/actors/dimension_reduction.py",148 "sha256": "7fb51c9f6616d99366b3e48143469ee21c87adc74bbb5baa7e811bb8483f4d1d",149 "language": "Python",150 "lines": 87,151 "truncated": false,152 "block": 15,153 "row": 14060154 },155 {156 "path": "demos/bubblewrap/actors/front_end.py",157 "sha256": "ab137455939e4162a33b9a329d0aafdfa1b05caf6c3aa69eee19b9638dc3217a",158 "language": "Python",159 "lines": 135,160 "truncated": false,161 "block": 15,162 "row": 16602163 },164 {165 "path": "demos/bubblewrap/actors/improv_bubble.py",166 "sha256": "42aebf560b0887fd1e69f1d62597b8e40d340acdd1a8418677cb643e3f919066",167 "language": "Python",168 "lines": 59,169 "truncated": false,170 "block": 15,171 "row": 12231172 },173 {174 "path": "demos/bubblewrap/actors/utils.py",175 "sha256": "8d57accb88bbe4306c23c46f40eb1520f79c2d9cc7c26e855d3d0547dd8fd341",176 "language": "Python",177 "lines": 22,178 "truncated": false,179 "block": 15,180 "row": 7454181 },182 {183 "path": "demos/bubblewrap/actors/visual.py",184 "sha256": "01bf16479fca54b7609296ad4fcb4326d7a354ecf861a9577a731732965c6666",185 "language": "Python",186 "lines": 61,187 "truncated": false,188 "block": 15,189 "row": 10651190 },191 {192 "path": "demos/live/actors/acquire_zmq.py",193 "sha256": "ba093a0d46d6e14eec9cfd4ed38074554092262d8dcbcceb909d3212d9554a8b",194 "language": "Python",195 "lines": 214,196 "truncated": false,197 "block": 15,198 "row": 20277199 },200 {201 "path": "demos/live/live_demo.py",202 "sha256": "e4e6f47062af1c7c94b25044a8781f6181dabd066e1b58ea8c587ca4786d6a58",203 "language": "Python",204 "lines": 23,205 "truncated": false,206 "block": 15,207 "row": 6982208 },209 {210 "path": "demos/minimal/actors/sample_generator.py",211 "sha256": "4a510c56128169fb6173df29a23208e89bec646007fa9d53a243d9621ebbcc08",212 "language": "Python",213 "lines": 68,214 "truncated": false,215 "block": 15,216 "row": 11474217 },218 {219 "path": "demos/minimal/actors/sample_processor.py",220 "sha256": "0e77d9bf6abcf9c4e8d1b364728a7533bacee73068023772244573faec4c4bd7",221 "language": "Python",222 "lines": 63,223 "truncated": false,224 "block": 15,225 "row": 10499226 },227 {228 "path": "demos/minimal/actors/sample_spawn_processor.py",229 "sha256": "09c56c8c9f4a22a59aa0c5895014b1bb471c7a3fd92ded2a62779b3cbf4ea5b2",230 "language": "Python",231 "lines": 78,232 "truncated": false,233 "block": 15,234 "row": 11604235 },236 {237 "path": "demos/naumann/actors/GUI.py",238 "sha256": "f27ca79cf2bd4a15dea183c5d44761696e38c9b2a1228de7d06b64b8f61fcc42",239 "language": "Python",240 "lines": 665,241 "truncated": false,242 "block": 15,243 "row": 25662244 },245 {246 "path": "demos/naumann/actors/acquire_tbif.py",247 "sha256": "6dd15feeeec09e49dc0747f5871cc4731366797afc8e31558e809b68f304e9a6",248 "language": "Python",249 "lines": 109,250 "truncated": false,251 "block": 15,252 "row": 15475253 },254 {255 "path": "demos/naumann/actors/analysis_model.py",256 "sha256": "c3056535af5adda864c5576b8cec3327b205e3f7855efaa2a0e992901726e604",257 "language": "Python",258 "lines": 643,259 "truncated": false,260 "block": 15,261 "row": 25421262 },263 {264 "path": "demos/naumann/actors/analysis_offline.py",265 "sha256": "87805c0ecf8799939747b5f18bcc3100bafa0666808b201487cc5967036eaf5f",266 "language": "Python",267 "lines": 349,268 "truncated": false,269 "block": 15,270 "row": 21389271 },272 {273 "path": "demos/naumann/actors/icon_rc.py",274 "sha256": "26beb846de309e9f47d502fc766bc6ca6f33dfe2d7c7fb3daf77f1c68e08ed92",275 "language": "Python",276 "lines": 2309,277 "truncated": false,278 "block": 16,279 "row": 1770280 },281 {282 "path": "demos/naumann/actors/improv_fit.py",283 "sha256": "a701a90a5b249cafdec2922fc2fe1acb0790091c0d02e486be07c555a5ccc432",284 "language": "Python",285 "lines": 313,286 "truncated": false,287 "block": 15,288 "row": 23653289 },290 {291 "path": "demos/naumann/actors/processor.py",292 "sha256": "66db0be3e8220a2d25778c720b8e9124676d20c5e2b3b00812395fcdf4e35224",293 "language": "Python",294 "lines": 190,295 "truncated": false,296 "block": 15,297 "row": 20068298 },299 {300 "path": "demos/naumann/actors/visual_model.py",301 "sha256": "ebe7786dacbf70defcc02617b9e520c28a13e45e79e7801008cd0616910d7fd0",302 "language": "Python",303 "lines": 358,304 "truncated": false,305 "block": 15,306 "row": 22956307 },308 {309 "path": "demos/neurofinder/actors/acquire_folder.py",310 "sha256": "23690800ec6fd4797add5303fd7672489b844189c1511dc98e12118f3644ab71",311 "language": "Python",312 "lines": 92,313 "truncated": false,314 "block": 15,315 "row": 13009316 },317 {318 "path": "demos/neurofinder/actors/processor.py",319 "sha256": "289abe21cc7c80b22edb973564f0137befe1231ed88ee387b6a6553ac4a18ef9",320 "language": "Python",321 "lines": 240,322 "truncated": false,323 "block": 15,324 "row": 21057325 },326 {327 "path": "demos/neurofinder/neurofind_demo.py",328 "sha256": "4ab7e10724d6d205b5c2af002306f65e79ac8267da7e5c9eb6c946fc1538a7bd",329 "language": "Python",330 "lines": 23,331 "truncated": false,332 "block": 15,333 "row": 6994334 },335 {336 "path": "demos/sample_actors/acquire.py",337 "sha256": "9278a1f3b4c6a65dd83abd237145adf808063c3fd5c17c8a7dc06bf7830cce53",338 "language": "Python",339 "lines": 249,340 "truncated": false,341 "block": 15,342 "row": 20606343 },344 {345 "path": "demos/sample_actors/analysis.py",346 "sha256": "654f1529b85072d56e34272752ac2ba43cff3036143dd08d27a885b4d3a67a7a",347 "language": "Python",348 "lines": 539,349 "truncated": false,350 "block": 15,351 "row": 25060352 },353 {354 "path": "demos/sample_actors/analysis_async.py",355 "sha256": "f41ef85e67c718c66a8ef7d7d9756735fdf16e289843ee5abc27c5a92ef67511",356 "language": "Python",357 "lines": 95,358 "truncated": false,359 "block": 15,360 "row": 12814361 },362 {363 "path": "demos/sample_actors/analysis_julia.py",364 "sha256": "e0ae486da0f6f3eb6a1157ab091090c522508b15573a1f58e6354220a989d6ee",365 "language": "Python",366 "lines": 95,367 "truncated": false,368 "block": 15,369 "row": 13718370 },371 {372 "path": "demos/sample_actors/analysis_utils.py",373 "sha256": "2218d0465c5bfb77cbe04c57777012bc0c7f59bbb137dc6353e21a5742a5eaea",374 "language": "Python",375 "lines": 54,376 "truncated": false,377 "block": 15,378 "row": 9819379 },380 {381 "path": "demos/sample_actors/process.py",382 "sha256": "8e10d0fdedcb29f41927bae4b4e228736afdf3835e8f05db061d2883c15d925a",383 "language": "Python",384 "lines": 301,385 "truncated": false,386 "block": 15,387 "row": 22748388 },389 {390 "path": "demos/sample_actors/simple_analysis.py",391 "sha256": "bdd12ef100ac337afb23bb4d05f762a3f852a4a4f03278c9af443e16a62ace05",392 "language": "Python",393 "lines": 361,394 "truncated": false,395 "block": 15,396 "row": 23655397 },398 {399 "path": "demos/sample_actors/zmqActor.py",400 "sha256": "7acb89cd24cf4a834ae6ded8e7fca64924fe00506bcf0cf07dd3fe2bad624a1e",401 "language": "Python",402 "lines": 191,403 "truncated": false,404 "block": 15,405 "row": 18274406 },407 {408 "path": "demos/spike/actors/front_spike.py",409 "sha256": "3e5fba215303dbe0237f9794ff91256d32df94510f573a186bae5c4d736cbf0a",410 "language": "Python",411 "lines": 456,412 "truncated": false,413 "block": 15,414 "row": 24013415 },416 {417 "path": "demos/spike/actors/improv_basic.py",418 "sha256": "21cb63fbbc5874df6ac5f660da9c4ecc4736bb3d5e9fc17e7aadca34469cee93",419 "language": "Python",420 "lines": 350,421 "truncated": false,422 "block": 15,423 "row": 24061424 },425 {426 "path": "demos/spike/actors/spikeAcq.py",427 "sha256": "c584a7eafeb3f5464f5064d6e0756192b2161e6cb9fd69dd57b4dbd489e0e516",428 "language": "Python",429 "lines": 73,430 "truncated": false,431 "block": 15,432 "row": 11473433 },434 {435 "path": "demos/spike/actors/spikeAnalysis.py",436 "sha256": "688ea43152ad571674fb599685ee0807896c6c3a3c3b21aabf53f3a2bce44925",437 "language": "Python",438 "lines": 524,439 "truncated": false,440 "block": 15,441 "row": 24955442 },443 {444 "path": "demos/spike/actors/visual.py",445 "sha256": "2a6572978f43df2006ae68f23bb85fa1e4bdf3d25ac9590a3838f0a3d853fb36",446 "language": "Python",447 "lines": 225,448 "truncated": false,449 "block": 15,450 "row": 20167451 },452 {453 "path": "demos/spike/spike_demo.py",454 "sha256": "7dd0f795d7aec72aff1f29332966edf66fdd56c7d462669bd85e6fade2e959f6",455 "language": "Python",456 "lines": 23,457 "truncated": false,458 "block": 15,459 "row": 6986460 },461 {462 "path": "demos/zmq/actors/zmq_ps_sample_generator.py",463 "sha256": "60da5dd53c53d46a52d5e75d58a5e868436ac9208f5d6a70a78199ee97f8a2b7",464 "language": "Python",465 "lines": 63,466 "truncated": false,467 "block": 15,468 "row": 11315469 },470 {471 "path": "demos/zmq/actors/zmq_ps_sample_processor.py",472 "sha256": "9aedabd0a2f45f5070d3e63b81892804cba48428c6ca687d2bf04bd7170b550b",473 "language": "Python",474 "lines": 65,475 "truncated": false,476 "block": 15,477 "row": 10974478 },479 {480 "path": "demos/zmq/actors/zmq_rr_sample_generator.py",481 "sha256": "8dbc3f7a5581499ee2e62ccf4aa8918b55856a10447ef56bd2ce89b5b51e22f3",482 "language": "Python",483 "lines": 59,484 "truncated": false,485 "block": 15,486 "row": 11115487 },488 {489 "path": "demos/zmq/actors/zmq_rr_sample_processor.py",490 "sha256": "39e9daf251b1ab54935fa88851590dafc5dc3d1af8cad331394764ac6d37ff4d",491 "language": "Python",492 "lines": 69,493 "truncated": false,494 "block": 15,495 "row": 11090496 },497 {498 "path": "docs/demos.ipynb",499 "sha256": "0a94f7f4eb4e039252bef38c3cbfe641a9c32df945f7af93083fd43eca18949d",500 "language": "Jupyter",501 "lines": 45,502 "truncated": false,503 "block": 14,504 "row": 14984505 },506 {507 "path": "docs/notebooks.ipynb",508 "sha256": "0075ddb6caecf34c6228b7920ec824c7f9f496597dc58ad142c530776e937f4b",509 "language": "Jupyter",510 "lines": 69,511 "truncated": false,512 "block": 14,513 "row": 14911514 },515 {516 "path": "docs/running.ipynb",517 "sha256": "3d257c9ac99c458194a5b6ff1fbea5774df6355169f8a330c31053df97c29c70",518 "language": "Jupyter",519 "lines": 67,520 "truncated": false,521 "block": 14,522 "row": 15007523 },524 {525 "path": "improv/__init__.py",526 "sha256": "6728002245fa35b8da83573359d41afb23fe18cd66044ffdb2cdb55e1fff2457",527 "language": "Python",528 "lines": 1,529 "truncated": false,530 "block": 15,531 "row": 5532532 },533 {534 "path": "improv/actor.py",535 "sha256": "c1ee481815ca3133dedd5cb81517f0d7754136c3fba7c618efcbe3f4d6e520ae",536 "language": "Python",537 "lines": 466,538 "truncated": false,539 "block": 15,540 "row": 23840541 },542 {543 "path": "improv/cli.py",544 "sha256": "4d7ae8047334f02db27e114f4a0482e05cd8acc027e17dda52d2bbb4f85143d0",545 "language": "Python",546 "lines": 395,547 "truncated": false,548 "block": 15,549 "row": 22654550 },551 {552 "path": "improv/config.py",553 "sha256": "1461b93ba57d6c3ec3d8d000d1fb336e3ca0060021b5f4ec2dc621420adf1f9d",554 "language": "Python",555 "lines": 186,556 "truncated": false,557 "block": 15,558 "row": 17616559 },560 {561 "path": "improv/link.py",562 "sha256": "167c413ed9e00c686d99cf96ac04e7902611a5095da7b9cba6ef3e2dd634253b",563 "language": "Python",564 "lines": 287,565 "truncated": false,566 "block": 15,567 "row": 20577568 },569 {570 "path": "improv/nexus.py",571 "sha256": "a447c2a6db7c691b9cf8e194295f0fe634d343c181b5db04f5cf0300b11d551d",572 "language": "Python",573 "lines": 730,574 "truncated": false,575 "block": 16,576 "row": 163577 },578 {579 "path": "improv/replayer.py",580 "sha256": "629c3bad1a6e5ce2b6c20819aba3a2eba6293ed3f2d571f218ea11817d88b83a",581 "language": "Python",582 "lines": 160,583 "truncated": false,584 "block": 15,585 "row": 17532586 },587 {588 "path": "improv/store.py",589 "sha256": "adb05b8abc04edffca133896ceba96125bd0d6b332f0609252a233e2e569e7ab",590 "language": "Python",591 "lines": 587,592 "truncated": false,593 "block": 15,594 "row": 24733595 },596 {597 "path": "improv/tui.py",598 "sha256": "86b59e2a7770ace84519af03fb0704c818f741a3520b975a9540ab63cd149c91",599 "language": "Python",600 "lines": 335,601 "truncated": false,602 "block": 15,603 "row": 22268604 },605 {606 "path": "improv/utils/checks.py",607 "sha256": "dd68b6c49cc9324c8a9a8122a453adc4beb88a0235fa8f38a5dc6fea0c37ed51",608 "language": "Python",609 "lines": 62,610 "truncated": false,611 "block": 15,612 "row": 9304613 },614 {615 "path": "improv/utils/reader.py",616 "sha256": "419e14a917be5ba8e8d0a3d19ce96763d6ef208111714d7f0185be66ede0464c",617 "language": "Python",618 "lines": 104,619 "truncated": false,620 "block": 15,621 "row": 13737622 },623 {624 "path": "improv/utils/utils.py",625 "sha256": "1f62ede2c68d2713f883b8a6249f6a5796c32f9074b7046aecfbf6d637715e03",626 "language": "Python",627 "lines": 51,628 "truncated": false,629 "block": 15,630 "row": 9453631 },632 {633 "path": "improv/watcher.py",634 "sha256": "253d3452ba3dbcf9c93122a4958571462f1447afb20a054cfaa159a41d860666",635 "language": "Python",636 "lines": 175,637 "truncated": false,638 "block": 15,639 "row": 17782640 },641 {642 "path": "test/actors/sample_generator.py",643 "sha256": "89f8990cdb85592a10e902f3ca99649d502e16495bde4e8f75e18974d52bfc77",644 "language": "Python",645 "lines": 76,646 "truncated": false,647 "block": 15,648 "row": 11975649 },650 {651 "path": "test/actors/sample_generator_wrong_import.py",652 "sha256": "ac7ea7a6869ed46eebfb6f851aeb55aab8ac208e754b777f83debee6113287db",653 "language": "Python",654 "lines": 67,655 "truncated": false,656 "block": 15,657 "row": 11349658 },659 {660 "path": "test/actors/sample_generator_wrong_init.py",661 "sha256": "89f8990cdb85592a10e902f3ca99649d502e16495bde4e8f75e18974d52bfc77",662 "language": "Python",663 "lines": 76,664 "truncated": false,665 "block": 15,666 "row": 11975667 },668 {669 "path": "test/actors/sample_processor.py",670 "sha256": "4d000e28f862df11b5371ac98c151eaf21e7eb1946d949732c8d4e6c403613ba",671 "language": "Python",672 "lines": 73,673 "truncated": false,674 "block": 15,675 "row": 11455676 },677 {678 "path": "test/conftest.py",679 "sha256": "2ab888493d453b55b7e2090c81c474a825e2bce04bd77f2dd78d17c14646c907",680 "language": "Python",681 "lines": 10,682 "truncated": false,683 "block": 15,684 "row": 5946685 },686 {687 "path": "test/conftest_with_errors.py",688 "sha256": "90de62e34d4d3da1e12d8ce40515e62a245ed95c1b5139f6ef3bd03615e65aa0",689 "language": "Python",690 "lines": 78,691 "truncated": false,692 "block": 15,693 "row": 11279694 },695 {696 "path": "test/nexus_analog.py",697 "sha256": "b25e7e5a46be0f35e4edbad239d0ab1dd17cb48d13e5cf100421c6934150c3e1",698 "language": "Python",699 "lines": 119,700 "truncated": false,701 "block": 15,702 "row": 13562703 },704 {705 "path": "test/test_actor.py",706 "sha256": "c9856038a6a8613649c5d99fea166bed557d50ae048044632faa65c1b4b7bc52",707 "language": "Python",708 "lines": 315,709 "truncated": false,710 "block": 15,711 "row": 20823712 },713 {714 "path": "test/test_cli.py",715 "sha256": "5cbcb9218213e1ff9c90f81b808a850ac2d5dde72696c8279018b7031fb0a29c",716 "language": "Python",717 "lines": 284,718 "truncated": false,719 "block": 15,720 "row": 20002721 },722 {723 "path": "test/test_config.py",724 "sha256": "c92446744033104b835d11e0b162f6029a7c7532dab129e882547de19ee67878",725 "language": "Python",726 "lines": 193,727 "truncated": false,728 "block": 15,729 "row": 17102730 },731 {732 "path": "test/test_demos.py",733 "sha256": "bb2bf53e3a4e6b34134ef55693839d3618672b80add857ecf6d72f78b56d65fd",734 "language": "Python",735 "lines": 192,736 "truncated": false,737 "block": 15,738 "row": 17305739 },740 {741 "path": "test/test_link.py",742 "sha256": "e3e93ac3e749ee60c32c2670f9eab17e8d04efc80c09a1721dd99ebc10c1f06d",743 "language": "Python",744 "lines": 480,745 "truncated": false,746 "block": 15,747 "row": 22552748 },749 {750 "path": "test/test_nexus.py",751 "sha256": "5e2a3cbaab81edd2617482c926a19015170a81ec5884a29021217997c87d5979",752 "language": "Python",753 "lines": 406,754 "truncated": false,755 "block": 15,756 "row": 21904757 },758 {759 "path": "test/test_store_with_errors.py",760 "sha256": "81eeb389a908a353c1ffc4ec28e063668d1ec7cbc91f5bf065ded4ffe1927bc6",761 "language": "Python",762 "lines": 296,763 "truncated": false,764 "block": 15,765 "row": 22008766 },767 {768 "path": "test/test_tui.py",769 "sha256": "b5e718fdd863b5d243e4bb7e904c6d83ff5951fc9c33d84656ec80230cdf361b",770 "language": "Python",771 "lines": 91,772 "truncated": false,773 "block": 15,774 "row": 12404775 }776 ]777}