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": "gitlab.com/cfinan/merit",4 "url": "https://gitlab.com/cfinan/merit",5 "host": "gitlab.com",6 "commit": "0e05762f86400756a0152cb5aa645edb81d8d831",7 "license": "GPL-3.0",8 "license_confirmed_by": "license file LICENCE.txt",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENCE.txt",13 "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",14 "language": "License",15 "lines": 674,16 "truncated": false,17 "block": 1,18 "row": 223519 },20 {21 "path": "README.md",22 "sha256": "81393f3ef552273a60501a1322a6a1c617d03ff35d2e86924583388da17d668d",23 "language": "Text",24 "lines": 54,25 "truncated": false,26 "block": 8,27 "row": 976028 },29 {30 "path": "docs/source/conf.py",31 "sha256": "c7b6477a0aa6749690a5a043d28f890d38181e778f085ea4e10abca24f5cb995",32 "language": "Python",33 "lines": 98,34 "truncated": false,35 "block": 6,36 "row": 3810237 },38 {39 "path": "merit/__init__.py",40 "sha256": "bd30acd2620f9ffd9ef2273970b3c87a3e73bfa529ef4505072618aefee5582d",41 "language": "Python",42 "lines": 16,43 "truncated": false,44 "block": 6,45 "row": 2264946 },47 {48 "path": "merit/coloc/__init__.py",49 "sha256": "f86a7eb5f5ccb65c55e25d5f8d3e7db13a3e37775cba331edf3e52955797a7e1",50 "language": "Python",51 "lines": 17,52 "truncated": false,53 "block": 6,54 "row": 2174955 },56 {57 "path": "merit/coloc/coloc_core.py",58 "sha256": "4ffee5fc84407dc8f76b35b53fdc81577a37368858382d39399fdb5d2b76ab0c",59 "language": "Python",60 "lines": 2566,61 "truncated": false,62 "block": 8,63 "row": 103664 },65 {66 "path": "merit/coloc/coloc_sensitivity.py",67 "sha256": "4488adb363b54688f00ec6c2ab5de78d8625b23cef71476f8710db9fcfb64218",68 "language": "Python",69 "lines": 359,70 "truncated": false,71 "block": 7,72 "row": 496173 },74 {75 "path": "merit/common.py",76 "sha256": "f831ba0f5593c62998137e70b9f71cdb2ed71b660686fc6cd2165e1d3e389389",77 "language": "Python",78 "lines": 24,79 "truncated": false,80 "block": 6,81 "row": 2367482 },83 {84 "path": "merit/constants.py",85 "sha256": "b7897b204ad94c6fbe25883e81ceffb100a066e71112d5f41a712ef022549c15",86 "language": "Python",87 "lines": 794,88 "truncated": false,89 "block": 7,90 "row": 991691 },92 {93 "path": "merit/errors.py",94 "sha256": "c069e08991a532681b24edfc468526fbbdf0283bd00612d2f98538fbedb8f5a6",95 "language": "Python",96 "lines": 1702,97 "truncated": false,98 "block": 8,99 "row": 523100 },101 {102 "path": "merit/example_data/downloads.py",103 "sha256": "70004ddeed066958279bee9a9b406705535772e770810ab9e7c1c0532334d256",104 "language": "Python",105 "lines": 79,106 "truncated": false,107 "block": 6,108 "row": 33544109 },110 {111 "path": "merit/example_data/dummy_ipd_data.py",112 "sha256": "c36ff63769d3cb70b358584b4f3a2d19e7ac0f10f58f24fe0266d9bf41ec0609",113 "language": "Python",114 "lines": 312,115 "truncated": false,116 "block": 7,117 "row": 4015118 },119 {120 "path": "merit/example_data/dummy_summary_data.py",121 "sha256": "dcd64bcff3c61f736354bbc83e336da318d50a5ac17e4c6c6aae5a2f712dbed2",122 "language": "Python",123 "lines": 1126,124 "truncated": false,125 "block": 7,126 "row": 11784127 },128 {129 "path": "merit/example_data/example_datasets/test_file_pools/cohort_c/chr_hint/create_bgen.sh",130 "sha256": "c61486728b1d157095aa75af21db7b554f75845d460e92dda15d15c30f9f600b",131 "language": "Shell",132 "lines": 1,133 "truncated": false,134 "block": 8,135 "row": 6616136 },137 {138 "path": "merit/example_data/examples.py",139 "sha256": "aa2770bd908305576d5df254b7966732438570bb20682adc386e03a667424bd8",140 "language": "Python",141 "lines": 1213,142 "truncated": false,143 "block": 7,144 "row": 11876145 },146 {147 "path": "merit/gwas/__init__.py",148 "sha256": "3f7b469f2c126d0819d28bb7792cba959dce2904a5ac9619c07b4a60eec7104e",149 "language": "Python",150 "lines": 9,151 "truncated": false,152 "block": 6,153 "row": 20979154 },155 {156 "path": "merit/gwas/dataset.py",157 "sha256": "00687cd9526b7cecd50cad46e8195e8aa935895911730f6d84b30ab06f3ae3c1",158 "language": "Python",159 "lines": 2897,160 "truncated": false,161 "block": 8,162 "row": 1081163 },164 {165 "path": "merit/gwas/utils.py",166 "sha256": "a89f575f1ec39e57fef06f3f7726b7af0d9876a3568315de1f093aa85b11d9e7",167 "language": "Python",168 "lines": 3684,169 "truncated": false,170 "block": 8,171 "row": 1140172 },173 {174 "path": "merit/ipd/__init__.py",175 "sha256": "78dfbefbe132431f6a5b3a4cb8e7da9b168330f6d2c1347e8792096b10f3c066",176 "language": "Python",177 "lines": 80,178 "truncated": false,179 "block": 6,180 "row": 32973181 },182 {183 "path": "merit/ipd/admission.py",184 "sha256": "05a9cc93e4037a725c8b8de07b0900aa39a2d9a814c3dedd564c3ef8e8c61d7e",185 "language": "Python",186 "lines": 753,187 "truncated": false,188 "block": 7,189 "row": 10049190 },191 {192 "path": "merit/ipd/common.py",193 "sha256": "26094c5653546fe456d78c5aecfb154c525209a537ad93f2f01db9023ea82c5c",194 "language": "Python",195 "lines": 1766,196 "truncated": false,197 "block": 8,198 "row": 581199 },200 {201 "path": "merit/ipd/corr_factory.py",202 "sha256": "6725c6c1ff1c4a19fd79b6090997395fa2201481d95edb6dafe76ea5d70b150c",203 "language": "Python",204 "lines": 2127,205 "truncated": false,206 "block": 8,207 "row": 774208 },209 {210 "path": "merit/ipd/corr_matrix.py",211 "sha256": "a491289cbce9b186b710bb5db55125e0cca816e19a0693a4026f0d10bcfb4869",212 "language": "Python",213 "lines": 4026,214 "truncated": false,215 "block": 8,216 "row": 1146217 },218 {219 "path": "merit/ipd/dosage_cache.py",220 "sha256": "bdfd645bf7d2b3adbb7baad37ba040046625cf5b6e9825f3c7c098c66ef5920e",221 "language": "Python",222 "lines": 1313,223 "truncated": false,224 "block": 7,225 "row": 11901226 },227 {228 "path": "merit/ipd/files.py",229 "sha256": "39d94bbf9295cfca2f749351330d1f7253d7e17d46b369dd8af9ad00722dff55",230 "language": "Python",231 "lines": 2856,232 "truncated": false,233 "block": 8,234 "row": 1054235 },236 {237 "path": "merit/ipd/manifest.py",238 "sha256": "820a9d55af32b0596fb8cc6dcb68bba26300976df3a97490ee87c7dd65facd56",239 "language": "Python",240 "lines": 346,241 "truncated": false,242 "block": 7,243 "row": 6550244 },245 {246 "path": "merit/ipd/regions.py",247 "sha256": "e1ba28874c57fc33d24d9b3e8f1e97004ddf4a72a07cf81fbc96fcedaf7084ed",248 "language": "Python",249 "lines": 3606,250 "truncated": false,251 "block": 8,252 "row": 1115253 },254 {255 "path": "merit/ld/__init__.py",256 "sha256": "c228969b1af5ec933f809608072b9d57701b8dade181bf90ab03cc50f3766e36",257 "language": "Python",258 "lines": 31,259 "truncated": false,260 "block": 6,261 "row": 24099262 },263 {264 "path": "merit/ld/clumping.py",265 "sha256": "6b82233db64ef02cb36afc80940b901f55eed7f9f5207a5c1ab33e15092ef2d5",266 "language": "Python",267 "lines": 940,268 "truncated": false,269 "block": 7,270 "row": 11175271 },272 {273 "path": "merit/ld/factory_clumping.py",274 "sha256": "d67450cc3084eb04e53451020deb4b9174c27cb0d905a2557a244c9b610815b2",275 "language": "Python",276 "lines": 1022,277 "truncated": false,278 "block": 7,279 "row": 11349280 },281 {282 "path": "merit/ld/handlers.py",283 "sha256": "a544a573f527d70fe521a9fadbd4a8f6875f269b18ab1af307bb0a2dba6b237d",284 "language": "Python",285 "lines": 781,286 "truncated": false,287 "block": 7,288 "row": 10426289 },290 {291 "path": "merit/ld/variants.py",292 "sha256": "6acac3cccd44a76cdadbabb4cd523b94c2a5f9605f01178c7d6c66e9141a69d4",293 "language": "Python",294 "lines": 81,295 "truncated": false,296 "block": 6,297 "row": 34498298 },299 {300 "path": "merit/misc/__init__.py",301 "sha256": "16808efea440e93ca229fda1acc1520abe2a52ea54e424dc65d6161b8741eb5d",302 "language": "Python",303 "lines": 9,304 "truncated": false,305 "block": 6,306 "row": 20956307 },308 {309 "path": "merit/misc/sojo.py",310 "sha256": "d1e1872fa7de5396fc3d8af26381e95a95025b042943437b406d4d024c295bae",311 "language": "Python",312 "lines": 550,313 "truncated": false,314 "block": 7,315 "row": 9582316 },317 {318 "path": "merit/misc/steiger_filtering.py",319 "sha256": "7894a23cb46ee2a7030b11beb34b8df4c225c1941b7aa6724cb666a4fbd07ec1",320 "language": "Python",321 "lines": 1247,322 "truncated": false,323 "block": 8,324 "row": 265325 },326 {327 "path": "merit/mr/__init__.py",328 "sha256": "80400efb073a3328aca3ed223453fbaf331a9bcbd89b8a2b352328da171f80e4",329 "language": "Python",330 "lines": 47,331 "truncated": false,332 "block": 6,333 "row": 26990334 },335 {336 "path": "merit/mr/base.py",337 "sha256": "8e9ec1974bbc6636ab739c2ee8b1a8a42e4e5ea097d72a6b4209ddc88d4ad32b",338 "language": "Python",339 "lines": 282,340 "truncated": false,341 "block": 7,342 "row": 1136343 },344 {345 "path": "merit/mr/conmix.py",346 "sha256": "c6a8943c2e6eb777f9c18f3689779b6a714e5a91cc5267b5fb17dee28597e66b",347 "language": "Python",348 "lines": 229,349 "truncated": false,350 "block": 6,351 "row": 45492352 },353 {354 "path": "merit/mr/egger.py",355 "sha256": "ae966a6e2587f7592571d552fc4cc580cfbaf949ed4c45162c2cb30830a1a654",356 "language": "Python",357 "lines": 226,358 "truncated": false,359 "block": 6,360 "row": 45177361 },362 {363 "path": "merit/mr/ivw.py",364 "sha256": "ed0a8603a00f4f670f2190653cde1760d939f92cbd1eafee900b2c4dc8d7beb7",365 "language": "Python",366 "lines": 207,367 "truncated": false,368 "block": 6,369 "row": 44056370 },371 {372 "path": "merit/mr/median.py",373 "sha256": "3655921dde1cb893ce5c2023561d5269d6f8b10e80ccb70c37504ca66baac6ab",374 "language": "Python",375 "lines": 321,376 "truncated": false,377 "block": 7,378 "row": 3560379 },380 {381 "path": "merit/mr/mendelian_randomization.py",382 "sha256": "1a7cb0e597fee8bdaeaf411b91d6b4ede471d61c588bfac7899b2aca70257c24",383 "language": "Python",384 "lines": 47,385 "truncated": false,386 "block": 6,387 "row": 27172388 },389 {390 "path": "merit/mr/mode.py",391 "sha256": "33d1fc40c4c3cf4f1941c516279f0543a6c3c0b76871e4f4c4824ea86251d3e4",392 "language": "Python",393 "lines": 549,394 "truncated": false,395 "block": 7,396 "row": 8395397 },398 {399 "path": "merit/mr/mvmr.py",400 "sha256": "c77a519c54b478675af5fec5ae41e0e5bd38bef3bcf84f6b9eca9b3617e64f30",401 "language": "Python",402 "lines": 432,403 "truncated": false,404 "block": 7,405 "row": 5956406 },407 {408 "path": "merit/mr/selection.py",409 "sha256": "96d645b474c2051ba31eb50b034a10623722555d4aff5f09de0754c20e7e9b98",410 "language": "Python",411 "lines": 127,412 "truncated": false,413 "block": 6,414 "row": 38159415 },416 {417 "path": "merit/mr/utils.py",418 "sha256": "895e6c6e6745abed1c8dacbc8ea9b27e4e7fa5d65d8be608335ebf39ef680ae3",419 "language": "Python",420 "lines": 71,421 "truncated": false,422 "block": 6,423 "row": 32544424 },425 {426 "path": "merit/mr/wald.py",427 "sha256": "c01c98c07299821f2ae1387f8055292dff4454658607069d928263a50022e7f8",428 "language": "Python",429 "lines": 118,430 "truncated": false,431 "block": 6,432 "row": 37464433 },434 {435 "path": "merit/pipelines/__init__.py",436 "sha256": "f2bf88010ce26018e0e5a7706e6e23a6174da7c3a79d36cf1cf5198e71c8f0f2",437 "language": "Python",438 "lines": 306,439 "truncated": false,440 "block": 7,441 "row": 2854442 },443 {444 "path": "merit/pipelines/_outcome_loader.py",445 "sha256": "45f183c97d6bbe916596ed9cbd370ec670ae9a150772ed07cc2fce80b5fde744",446 "language": "Python",447 "lines": 482,448 "truncated": false,449 "block": 7,450 "row": 6654451 },452 {453 "path": "merit/pipelines/assembly.py",454 "sha256": "ba0d1285665af93a7c0729a0c30c88be222dc5426431a613546a3d17dfb0f09b",455 "language": "Python",456 "lines": 1066,457 "truncated": false,458 "block": 7,459 "row": 11002460 },461 {462 "path": "merit/pipelines/cli/__init__.py",463 "sha256": "0a2a379d579e96dd05b8fbcd0dca62229caca82e7daddb7bd3a70cf9e70fdf60",464 "language": "Python",465 "lines": 10,466 "truncated": false,467 "block": 6,468 "row": 21004469 },470 {471 "path": "merit/pipelines/cli/_args.py",472 "sha256": "dd915b7b0533f8dde19352584ee1ee04d91620cd824cf147a8852f5ec5ae6429",473 "language": "Python",474 "lines": 3107,475 "truncated": false,476 "block": 8,477 "row": 1003478 },479 {480 "path": "merit/pipelines/cli/_log.py",481 "sha256": "4be033622496d0583017cb419ca32b238591110058f457904ca25d7841d8af46",482 "language": "Python",483 "lines": 353,484 "truncated": false,485 "block": 7,486 "row": 2535487 },488 {489 "path": "merit/pipelines/cli/run_coloc.py",490 "sha256": "330fc823f49665773103574d3ce6e32a2daff9650cbc994c399da61a0b3f1ce0",491 "language": "Python",492 "lines": 331,493 "truncated": false,494 "block": 7,495 "row": 3715496 },497 {498 "path": "merit/pipelines/cli/run_extract.py",499 "sha256": "55867094233c6d402983c592dbedd2c84f842669b7b43280701b60fa162e50fb",500 "language": "Python",501 "lines": 562,502 "truncated": false,503 "block": 7,504 "row": 7680505 },506 {507 "path": "merit/pipelines/cli/run_mr.py",508 "sha256": "26fec0b3b26580ae7a1fbf3a49750c8817c9dd2a523efd47f63d34bfbc5db5ac",509 "language": "Python",510 "lines": 741,511 "truncated": false,512 "block": 7,513 "row": 9544514 },515 {516 "path": "merit/pipelines/cli/run_mr_hpc.py",517 "sha256": "0c3873d47b953e299739e9b4eeb1e63a498ae89c83be264e6316425d60e7b15c",518 "language": "Python",519 "lines": 754,520 "truncated": false,521 "block": 7,522 "row": 9657523 },524 {525 "path": "merit/pipelines/cli/run_mr_parallel.py",526 "sha256": "9a5de233703567a48479244a78e759f2022a9580e80fc88a84ca5e57d8d35db1",527 "language": "Python",528 "lines": 779,529 "truncated": false,530 "block": 7,531 "row": 10009532 },533 {534 "path": "merit/pipelines/coloc.py",535 "sha256": "7d3fbeb7f134b89db31bb47c36864dcc83866460e2700d6ac1e3168c3d31e7f9",536 "language": "Python",537 "lines": 1383,538 "truncated": false,539 "block": 8,540 "row": 151541 },542 {543 "path": "merit/pipelines/columns.py",544 "sha256": "1dca110d99a80a703e22a02c8b6d1f891fab09c42966e828603ec135e276f0c1",545 "language": "Python",546 "lines": 61,547 "truncated": false,548 "block": 6,549 "row": 30322550 },551 {552 "path": "merit/pipelines/constants.py",553 "sha256": "70f1ba3cf4a0b453085ae37f80f7766888d167ac598b3c41098e0adf74cfad4a",554 "language": "Python",555 "lines": 370,556 "truncated": false,557 "block": 7,558 "row": 3353559 },560 {561 "path": "merit/pipelines/data/__init__.py",562 "sha256": "7356e6c04cf98a7dc94e131794c2d6f7d21dc115b9db2dbbd5ca9ef31d1010b5",563 "language": "Python",564 "lines": 1,565 "truncated": false,566 "block": 6,567 "row": 20544568 },569 {570 "path": "merit/pipelines/extract.py",571 "sha256": "5e3b05282478f2668ba707a77cf93415a4389a917864d57b5d7d2636ab8e8357",572 "language": "Python",573 "lines": 3557,574 "truncated": false,575 "block": 8,576 "row": 1080577 },578 {579 "path": "merit/pipelines/features.py",580 "sha256": "1f9778769e7e3654ca88655f8bd72d48e4f198bc4e6a1e37c61b65580ed55adb",581 "language": "Python",582 "lines": 1043,583 "truncated": false,584 "block": 7,585 "row": 10849586 },587 {588 "path": "merit/pipelines/filtering.py",589 "sha256": "5f9e3094f2c2163f12eb4a4e17c6fd5abe653916d6fc707f2c5ad0b5f8a43e02",590 "language": "Python",591 "lines": 1690,592 "truncated": false,593 "block": 8,594 "row": 402595 },596 {597 "path": "merit/pipelines/formatting.py",598 "sha256": "a8fbec4e5b03dd03dacb1b76e8709a205ed3f397a40ab17ac622b48eed7c8bfb",599 "language": "Python",600 "lines": 320,601 "truncated": false,602 "block": 7,603 "row": 1792604 },605 {606 "path": "merit/pipelines/hpc/__init__.py",607 "sha256": "c1dc41829bc1758604f5e57d69cefbffcbd8986431a89456f3d69f123fc68595",608 "language": "Python",609 "lines": 27,610 "truncated": false,611 "block": 6,612 "row": 23417613 },614 {615 "path": "merit/pipelines/hpc/jaf.py",616 "sha256": "73ed2167b3aca2dd0404a16a3a95895936711e02bc4d2ffb6b7c6a009bae4ecb",617 "language": "Python",618 "lines": 401,619 "truncated": false,620 "block": 7,621 "row": 4085622 },623 {624 "path": "merit/pipelines/hpc/planner.py",625 "sha256": "32b165cd624de40159720278228bea6cd4e1f4f97bb04fb8973d622afb303342",626 "language": "Python",627 "lines": 1171,628 "truncated": false,629 "block": 7,630 "row": 11570631 },632 {633 "path": "merit/pipelines/hpc/task_script.py",634 "sha256": "72706c0a1b315ea77c601e9872c987f36800a3ed749b7f92658c25bf31bf9513",635 "language": "Python",636 "lines": 512,637 "truncated": false,638 "block": 7,639 "row": 7230640 },641 {642 "path": "merit/pipelines/io.py",643 "sha256": "5877c43b151595dd9375fa154d22a5b5f94279896e08c19c5958dfee220aa045",644 "language": "Python",645 "lines": 766,646 "truncated": false,647 "block": 7,648 "row": 9858649 },650 {651 "path": "merit/pipelines/ld_reference.py",652 "sha256": "c9c1cead75e2d4e3792504fca8b8c818ddcc3600f5fd20081fbd22c247cecc66",653 "language": "Python",654 "lines": 587,655 "truncated": false,656 "block": 7,657 "row": 9244658 },659 {660 "path": "merit/pipelines/maf.py",661 "sha256": "1b57a190deed09abb25f47542864de6bc7a28451dc6b9651342c3072314daba3",662 "language": "Python",663 "lines": 1586,664 "truncated": false,665 "block": 8,666 "row": 255667 },668 {669 "path": "merit/pipelines/methods/__init__.py",670 "sha256": "42faac150c98ddabb7ad9a1ab5c1c7ee6f38fd48d3e283313e6ab3b953c095e2",671 "language": "Python",672 "lines": 25,673 "truncated": false,674 "block": 6,675 "row": 23346676 },677 {678 "path": "merit/pipelines/methods/_config.py",679 "sha256": "dcaf779fe840e05faaa68a32ff4e80eb357f723340e2b8acfc419af31d71bcd0",680 "language": "Python",681 "lines": 267,682 "truncated": false,683 "block": 7,684 "row": 547685 },686 {687 "path": "merit/pipelines/methods/_protocol.py",688 "sha256": "c2a7dc336ae2bdf6a52be1672dfd858f34139d3fb3167a52447e1c24809c232b",689 "language": "Python",690 "lines": 190,691 "truncated": false,692 "block": 6,693 "row": 44426694 },695 {696 "path": "merit/pipelines/methods/_registry.py",697 "sha256": "f8ac63b755b8fd943b97029ad188d603bdc1ae9e07c85607413196d021abe59c",698 "language": "Python",699 "lines": 272,700 "truncated": false,701 "block": 7,702 "row": 435703 },704 {705 "path": "merit/pipelines/methods/_support.py",706 "sha256": "055900b0ea7702731f520f000ac72ebcebbcd227917a9f3ee51f165ad47b2ecb",707 "language": "Python",708 "lines": 170,709 "truncated": false,710 "block": 6,711 "row": 40847712 },713 {714 "path": "merit/pipelines/methods/egger.py",715 "sha256": "700978f70ae8a193253050e3f57d28d689a48fc8e1ef0207e81c510165a4fd37",716 "language": "Python",717 "lines": 198,718 "truncated": false,719 "block": 6,720 "row": 44768721 },722 {723 "path": "merit/pipelines/methods/ivw.py",724 "sha256": "2643e5d96d3cb263b741521b7d6ad697d6e65d89784755dd4d8e1b6b563728d9",725 "language": "Python",726 "lines": 180,727 "truncated": false,728 "block": 6,729 "row": 43261730 },731 {732 "path": "merit/pipelines/methods/median.py",733 "sha256": "94e89f73aabd330aa2ac71cb51eedf1c300ab10399537ac5f5014acdb146a763",734 "language": "Python",735 "lines": 189,736 "truncated": false,737 "block": 6,738 "row": 44937739 },740 {741 "path": "merit/pipelines/methods/mode.py",742 "sha256": "a8c8f24c38b62cddc6e714f7b7f1ade244e37ca01a53a54aa98f3631ae1cebb0",743 "language": "Python",744 "lines": 223,745 "truncated": false,746 "block": 7,747 "row": 1083748 },749 {750 "path": "merit/pipelines/methods/mvmr.py",751 "sha256": "3b74a9c4bcd630db834713d3baea950e9945a5232a4b72962ee9199410a9eb0f",752 "language": "Python",753 "lines": 148,754 "truncated": false,755 "block": 6,756 "row": 42017757 },758 {759 "path": "merit/pipelines/methods/wald.py",760 "sha256": "8eb836de73fc23d5f9afee2ce64bfaa8ebe32a6b6e4c4cc9651b066df2c13636",761 "language": "Python",762 "lines": 111,763 "truncated": false,764 "block": 6,765 "row": 36873766 },767 {768 "path": "merit/pipelines/mr.py",769 "sha256": "3de6b0938d5762ec24658c8d77b5bae4bc073dbdb7a12e8e2d4cedee9b352ae3",770 "language": "Python",771 "lines": 4608,772 "truncated": false,773 "block": 8,774 "row": 1155775 },776 {777 "path": "merit/pipelines/parallel/__init__.py",778 "sha256": "ca86bcd50e3fbba7504ee8b438969dc89050c518adfcf1c14ccdf555c3e0af40",779 "language": "Python",780 "lines": 40,781 "truncated": false,782 "block": 6,783 "row": 26960784 },785 {786 "path": "merit/pipelines/parallel/executor.py",787 "sha256": "6add268dfcb1384a30acfbe5c80bfa0b58ff813091de2f372e5c16a25c232504",788 "language": "Python",789 "lines": 581,790 "truncated": false,791 "block": 7,792 "row": 8499793 },794 {795 "path": "merit/pipelines/parallel/options.py",796 "sha256": "a8ce0b256e05f6ca556c1e6c819763a0aec0c13a49a5a125710fc06ecd50c066",797 "language": "Python",798 "lines": 164,799 "truncated": false,800 "block": 6,801 "row": 42795802 },803 {804 "path": "merit/pipelines/parallel/publish.py",805 "sha256": "d89afc7f69be6dfbec44dc636ea47742504f96c4a1888866b94e9ec1ee99e348",806 "language": "Python",807 "lines": 58,808 "truncated": false,809 "block": 6,810 "row": 29707811 },812 {813 "path": "merit/pipelines/parallel/runtime.py",814 "sha256": "8bc36d5a13b292da9119a8cd11b561fec66e7af75bf3ca8324be0754044074e0",815 "language": "Python",816 "lines": 566,817 "truncated": false,818 "block": 7,819 "row": 7980820 },821 {822 "path": "merit/pipelines/parallel/worker.py",823 "sha256": "8b089df7dec683c774c7763674c7f6c9d823e022cf2a128e3c4a242f29060955",824 "language": "Python",825 "lines": 331,826 "truncated": false,827 "block": 7,828 "row": 4205829 },830 {831 "path": "merit/pipelines/parameters.py",832 "sha256": "6cfc0f803a1e962727334fce02ef9d550b0b0f72539a3eb8f5767c65d6678196",833 "language": "Python",834 "lines": 613,835 "truncated": false,836 "block": 7,837 "row": 7683838 },839 {840 "path": "merit/pipelines/region_plan.py",841 "sha256": "7da145ddc205b76dd689b2a0c72c2aef0cd9743af1de79980360400fc970b107",842 "language": "Python",843 "lines": 167,844 "truncated": false,845 "block": 6,846 "row": 40799847 },848 {849 "path": "merit/pipelines/result.py",850 "sha256": "a3e3a1d8869ef0af056021cacac5ce4b4edf6e18f293c1075d4d9fcdd8a9a576",851 "language": "Python",852 "lines": 57,853 "truncated": false,854 "block": 6,855 "row": 30392856 },857 {858 "path": "merit/pipelines/sample_size.py",859 "sha256": "93c690830a404255961e9f68a1d5abbad6b4deb4c6688e0f2e967507a67ec9b5",860 "language": "Python",861 "lines": 81,862 "truncated": false,863 "block": 6,864 "row": 34937865 },866 {867 "path": "merit/pipelines/validation.py",868 "sha256": "b85ee90f1a4034aaac45eedb181250f5b5b2263fad398cfb4fa72b8c4bb7228f",869 "language": "Python",870 "lines": 283,871 "truncated": false,872 "block": 7,873 "row": 980874 },875 {876 "path": "merit/stats.py",877 "sha256": "ef521b81fac2d66cd04e0f3faf829abdcb0056b971e492b405860dc2ce6c0108",878 "language": "Python",879 "lines": 49,880 "truncated": false,881 "block": 6,882 "row": 27593883 },884 {885 "path": "resources/analysis/fn_12_missingness_failure_prediction/__init__.py",886 "sha256": "34aaf17f114ac58e53ff0c21749f47534d12b16d9dbb15fc90abe3bb011a366c",887 "language": "Python",888 "lines": 14,889 "truncated": false,890 "block": 6,891 "row": 22003892 },893 {894 "path": "resources/analysis/fn_12_missingness_failure_prediction/_paths.py",895 "sha256": "1175dad9dfd95023cd8bcb2af7d70e8dc08c4bf14e0c018cbcfd9148d8c31e51",896 "language": "Python",897 "lines": 52,898 "truncated": false,899 "block": 6,900 "row": 29215901 },902 {903 "path": "resources/analysis/fn_12_missingness_failure_prediction/definedness.py",904 "sha256": "077b1056fdc7dc4f9fd4fc14fc9a3fd17774d946a6809d7f1400f021b443d86a",905 "language": "Python",906 "lines": 154,907 "truncated": false,908 "block": 6,909 "row": 41530910 },911 {912 "path": "resources/analysis/fn_12_missingness_failure_prediction/features.py",913 "sha256": "8071db5775291a8d23d64dd1df4b7070cf03f2724bf78ee10a40417a4e4b66ff",914 "language": "Python",915 "lines": 243,916 "truncated": false,917 "block": 7,918 "row": 617919 },920 {921 "path": "resources/analysis/fn_12_missingness_failure_prediction/index_build.py",922 "sha256": "8f056bd0d0193789c80eb6088da75a2d3eba33811a6d70576b5df64a1ada1bd9",923 "language": "Python",924 "lines": 369,925 "truncated": false,926 "block": 7,927 "row": 3475928 },929 {930 "path": "resources/analysis/fn_12_missingness_failure_prediction/index_parse.py",931 "sha256": "8bfb8ebf00afffea434d6cbaa1fcddc4a96d7b642fee8ec29eef948e37be0099",932 "language": "Python",933 "lines": 102,934 "truncated": false,935 "block": 6,936 "row": 35437937 },938 {939 "path": "resources/analysis/fn_12_missingness_failure_prediction/io_util.py",940 "sha256": "831797881412108e050e406677fd1403effba615a03565aa2f4e1e645bb80a9f",941 "language": "Python",942 "lines": 126,943 "truncated": false,944 "block": 6,945 "row": 36973946 },947 {948 "path": "resources/analysis/fn_12_missingness_failure_prediction/metrics.py",949 "sha256": "4bb730725bdced48f2d83bd563e16480a32d70979ff950b74d5b84fb4763e637",950 "language": "Python",951 "lines": 71,952 "truncated": false,953 "block": 6,954 "row": 30822955 },956 {957 "path": "resources/analysis/fn_12_missingness_failure_prediction/model.py",958 "sha256": "db88ccdb2bd366cc128aafd6717b7031c5fd61bcacb3d8c6deb374609eeb78bb",959 "language": "Python",960 "lines": 388,961 "truncated": false,962 "block": 7,963 "row": 4344964 },965 {966 "path": "resources/analysis/fn_12_missingness_failure_prediction/pipeline.py",967 "sha256": "e7bb45fc625107e00de7fa98227166945e3ee9335b33ca49fe7c07b865fa3bf1",968 "language": "Python",969 "lines": 433,970 "truncated": false,971 "block": 7,972 "row": 5417973 },974 {975 "path": "resources/analysis/fn_12_missingness_failure_prediction/plot_roc.py",976 "sha256": "44dbc9f89674bb6e689080cb93e905c78780ba6107c49ab17b52c64594b0a5e8",977 "language": "Python",978 "lines": 294,979 "truncated": false,980 "block": 7,981 "row": 1765982 },983 {984 "path": "resources/analysis/fn_12_missingness_failure_prediction/predictors.py",985 "sha256": "55a80c92517040495df2aa42d65c3ff7ab007af1958726a8813a799920d78ff5",986 "language": "Python",987 "lines": 201,988 "truncated": false,989 "block": 6,990 "row": 43723991 },992 {993 "path": "resources/analysis/fn_12_missingness_failure_prediction/project.py",994 "sha256": "668cd6ea4001bf0eb23b5783ac3b5b6a4721ddc8775e4347dfb43d9f2e44b603",995 "language": "Python",996 "lines": 212,997 "truncated": false,998 "block": 6,999 "row": 448981000 },1001 {1002 "path": "resources/analysis/fn_12_missingness_failure_prediction/report.py",1003 "sha256": "6c562b6d5c3b3cdbaaf6ceb48b11223220f00583e14f23331b627e0d9d649083",1004 "language": "Python",1005 "lines": 532,1006 "truncated": false,1007 "block": 7,1008 "row": 85931009 },1010 {1011 "path": "resources/analysis/fn_12_missingness_failure_prediction/roc.py",1012 "sha256": "a815af4a9239e95bd45e549773ad6aa548c899ca5bea2b4fbd0849348382a750",1013 "language": "Python",1014 "lines": 171,1015 "truncated": false,1016 "block": 6,1017 "row": 420751018 },1019 {1020 "path": "resources/analysis/fn_12_missingness_failure_prediction/run.py",1021 "sha256": "9237d52535c8f72454db6b0120130997d777fd44e1c62fb2f68b6808e48230ff",1022 "language": "Python",1023 "lines": 714,1024 "truncated": false,1025 "block": 7,1026 "row": 96401027 },1028 {1029 "path": "resources/analysis/fn_12_missingness_failure_prediction/sampling.py",1030 "sha256": "5ee8eb2a9a2ed21e82b7b1af7b0e3308846bafcbe0e147886ab15384b88d85dd",1031 "language": "Python",1032 "lines": 55,1033 "truncated": false,1034 "block": 6,1035 "row": 297691036 },1037 {1038 "path": "resources/analysis/fn_12_missingness_failure_prediction/simulate_production.py",1039 "sha256": "d93cd5e18902ca1882a02d38bfa0e1d8c7052083c59eeb691404082386927bf8",1040 "language": "Python",1041 "lines": 639,1042 "truncated": false,1043 "block": 7,1044 "row": 87861045 },1046 {1047 "path": "resources/analysis/fn_12_missingness_failure_prediction/subsets.py",1048 "sha256": "1473d56604e8b5c392211324df0dde8069cd6fb21ebe904eb2225c50e9c08704",1049 "language": "Python",1050 "lines": 617,1051 "truncated": false,1052 "block": 7,1053 "row": 84131054 },1055 {1056 "path": "resources/analysis/fn_12_missingness_failure_prediction/windows_io.py",1057 "sha256": "09f91acefb52d2721bd61b81eec230d4c8161a7d32ae057da5c04eb12161bf70",1058 "language": "Python",1059 "lines": 126,1060 "truncated": false,1061 "block": 6,1062 "row": 369161063 },1064 {1065 "path": "resources/analysis/fn_51_missingness_vs_d/__init__.py",1066 "sha256": "2b9a27d56cb7e4911c857a6d347751f557a4a84a77264c27550c9a5f11534d9f",1067 "language": "Python",1068 "lines": 14,1069 "truncated": false,1070 "block": 6,1071 "row": 219901072 },1073 {1074 "path": "resources/analysis/fn_51_missingness_vs_d/_paths.py",1075 "sha256": "741a50a65a15d4ab283a9242eb8d0a51f6419d43c407cb5c1480c2f687e3f7b0",1076 "language": "Python",1077 "lines": 53,1078 "truncated": false,1079 "block": 6,1080 "row": 293191081 },1082 {1083 "path": "resources/analysis/fn_51_missingness_vs_d/calibrate.py",1084 "sha256": "e5c6e0c50a039292be09f5c47a87a2bb098dbcfe0026ddfa1bcd490d371bfd31",1085 "language": "Python",1086 "lines": 339,1087 "truncated": false,1088 "block": 7,1089 "row": 35791090 },1091 {1092 "path": "resources/analysis/fn_51_missingness_vs_d/io_util.py",1093 "sha256": "00ca0c8251efbe0f084bd7917b98db3e5671947f0dc7ec9df88395d885bf4097",1094 "language": "Python",1095 "lines": 137,1096 "truncated": false,1097 "block": 6,1098 "row": 377201099 },1100 {1101 "path": "resources/analysis/fn_51_missingness_vs_d/metrics.py",1102 "sha256": "bc82877979087275c803a0eff0a556e9912ebaf3986a488bcd4f7c5e575cde34",1103 "language": "Python",1104 "lines": 233,1105 "truncated": false,1106 "block": 6,1107 "row": 436351108 },1109 {1110 "path": "resources/analysis/fn_51_missingness_vs_d/pairwise.py",1111 "sha256": "f3367e10a0f03db45316837ade8c135d07fe5fb4ba21b3a3e8f6aa4c3d6058f2",1112 "language": "Python",1113 "lines": 121,1114 "truncated": false,1115 "block": 6,1116 "row": 380541117 },1118 {1119 "path": "resources/analysis/fn_51_missingness_vs_d/production_parity.py",1120 "sha256": "ee1ddac1c7eced6e25b9b811f72650cf22d8483c9fca5b868e482d68b3daa0d4",1121 "language": "Python",1122 "lines": 149,1123 "truncated": false,1124 "block": 6,1125 "row": 405331126 },1127 {1128 "path": "resources/analysis/fn_51_missingness_vs_d/sampling.py",1129 "sha256": "76980373d73909063e5b99a7ccd4a4f5b5f44c9084319533fee4903026ee4d9a",1130 "language": "Python",1131 "lines": 55,1132 "truncated": false,1133 "block": 6,1134 "row": 297011135 },1136 {1137 "path": "resources/analysis/fn_51_missingness_vs_d/select_windows.py",1138 "sha256": "9abd37fb25f339f8b0a753c0f9f54c33b199de405f343e3212429feab2ecfe61",1139 "language": "Python",1140 "lines": 292,1141 "truncated": false,1142 "block": 7,1143 "row": 16881144 },1145 {1146 "path": "resources/analysis/fn_51_missingness_vs_d/summarize.py",1147 "sha256": "75bd555cd12acadedec22990931bf2d431d4379e3fd4e9371ba8c7592c770a8a",1148 "language": "Python",1149 "lines": 367,1150 "truncated": false,1151 "block": 7,1152 "row": 53751153 },1154 {1155 "path": "resources/analysis/fn_51_missingness_vs_d/thresholds.py",1156 "sha256": "604188cfd5acf434514ebc5eb8f0ecbe60b548888471f87177b887b599ad35ef",1157 "language": "Python",1158 "lines": 108,1159 "truncated": false,1160 "block": 6,1161 "row": 364891162 },1163 {1164 "path": "resources/analysis/fn_51_missingness_vs_d/vcf_io.py",1165 "sha256": "88c63fcee4e157f785116eca4ab928186579f1358851a58bdd16416f2b44d720",1166 "language": "Python",1167 "lines": 389,1168 "truncated": false,1169 "block": 7,1170 "row": 50111171 },1172 {1173 "path": "resources/analysis/fn_51_missingness_vs_d/verify_pairwise.py",1174 "sha256": "ceb4429e696381ff2d6976b37c64841f57e0bc60e18080b177442702db6dce0e",1175 "language": "Python",1176 "lines": 383,1177 "truncated": false,1178 "block": 7,1179 "row": 48121180 },1181 {1182 "path": "resources/analysis/fn_51_missingness_vs_d/windows.py",1183 "sha256": "ed2a3ec59021772d9f78ed791664dfd025ed5c972b6aa214b228f26b3fa5fa14",1184 "language": "Python",1185 "lines": 453,1186 "truncated": false,1187 "block": 7,1188 "row": 58791189 },1190 {1191 "path": "resources/bin/demo_corr_factory.py",1192 "sha256": "d690079bb632862ee227d7138d3973b5b832e0f5171be1cbe783bda7c6109719",1193 "language": "Python",1194 "lines": 652,1195 "truncated": false,1196 "block": 7,1197 "row": 83801198 },1199 {1200 "path": "resources/bin/demo_dosage_cache.py",