{ "format": "oscr-script-manifest/1", "repository": "zenodo:19595192", "url": "https://doi.org/10.5281/zenodo.19595192", "host": "zenodo.org", "commit": "", "license": "GPL-2.0", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "LICENSE", "sha256": "b8bf98aba2de002710674b51f19aa1f346c11708919f7e12e66b9db944750e5e", "language": "License", "lines": 361, "truncated": false, "block": 14, "row": 17240 }, { "path": "README.md", "sha256": "479622a456bd73f6ca28794eb986da471521aa4662cbe2f0347ccc75a79f6bc5", "language": "Text", "lines": 115, "truncated": false, "block": 16, "row": 7571 }, { "path": "docs/examples/example_script.py", "sha256": "d8d5444dca94b751d551a8a110ddcba820ccfcf01e87076235c5cf705cd49a98", "language": "Python", "lines": 63, "truncated": false, "block": 15, "row": 10351 }, { "path": "docs/examples/example_script_3d.py", "sha256": "89beec5b21945b3211e9f0e34bebe500b3f92e7e90c584be38c6e224fb1a1c48", "language": "Python", "lines": 125, "truncated": false, "block": 15, "row": 15324 }, { "path": "docs/examples/example_script_fiber_shift.py", "sha256": "15ba84c36628749c3f5e719771559787a2dbf3bd8ecdda103a257e41f657f524", "language": "Python", "lines": 71, "truncated": false, "block": 15, "row": 10338 }, { "path": "docs/examples/example_script_intra.py", "sha256": "4baf6a408585b5e4315fff372dad6ee6ce6228dbce7ac49b70847e1a9be760f6", "language": "Python", "lines": 55, "truncated": false, "block": 15, "row": 9576 }, { "path": "docs/examples/example_script_multiwf.py", "sha256": "4aae901e1fb34c577c07e84a2e081ba02276951c75481e2ccca0efffc767b1d5", "language": "Python", "lines": 58, "truncated": false, "block": 15, "row": 9928 }, { "path": "docs/examples/example_script_recording.py", "sha256": "dcd676c784605eef5230efcae52b7e73d66532c7db5f7af4a364704723555bd0", "language": "Python", "lines": 116, "truncated": false, "block": 15, "row": 13506 }, { "path": "docs/examples/example_script_thio.py", "sha256": "3cdf29d9b2c8ef7f8e09f6e5f1dab82c3c969bf16a7ea92671ce5e9a6b6eb921", "language": "Python", "lines": 62, "truncated": false, "block": 15, "row": 10507 }, { "path": "docs/source/conf.py", "sha256": "b5d39b83b3fd40e00f91df5bae7f49f0004e9335104113ebfb33c0396e9ee2cd", "language": "Python", "lines": 147, "truncated": false, "block": 15, "row": 16914 }, { "path": "docs/source/tutorials/1_create_fiber.ipynb", "sha256": "0c981b8d6c025fe280a5ecc4f3ebdd0f713a7ce040299d7df4a73e46c74c1847", "language": "Jupyter", "lines": 122, "truncated": false, "block": 14, "row": 15473 }, { "path": "docs/source/tutorials/2_sim_and_activation.ipynb", "sha256": "b0ce81ed38c2d208e3c4d9f4e0df10101dc5747f3044ef046384aef01f07e6a2", "language": "Jupyter", "lines": 140, "truncated": false, "block": 14, "row": 15519 }, { "path": "docs/source/tutorials/3_analysis.ipynb", "sha256": "78708fe1d3f4bcd45508915ced1b76afc3c5da110a34bd34d3d3cc9ba5b486fe", "language": "Jupyter", "lines": 366, "truncated": false, "block": 14, "row": 15961 }, { "path": "docs/source/tutorials/4_resampling_potentials.ipynb", "sha256": "4e7f24da8b33a73206e2430ce8859d2efa62bf6679eadb8a2fbacca42b152cc7", "language": "Jupyter", "lines": 407, "truncated": false, "block": 14, "row": 16249 }, { "path": "docs/source/tutorials/5_block_threshold.ipynb", "sha256": "602599fe25504c7e03f6ea46d96552d06f5b013d4fbf3c20d112b2a632dfcd24", "language": "Jupyter", "lines": 247, "truncated": false, "block": 14, "row": 15896 }, { "path": "docs/source/tutorials/6_parallelism.ipynb", "sha256": "512d2c325ca15bf0d29b911163db2305bdb91e1cbd74d2eee5c208453d2ce283", "language": "Jupyter", "lines": 118, "truncated": false, "block": 14, "row": 15400 }, { "path": "docs/source/tutorials/7_recording.ipynb", "sha256": "1999c8f0552cd03e912bd7ec2957aae9c3b13c2a3f1541bae1be83096eb8f064", "language": "Jupyter", "lines": 200, "truncated": false, "block": 14, "row": 15635 }, { "path": "docs/source/tutorials/8_fiber_paths_3d.ipynb", "sha256": "2bba338caeedbe4fcecb418f115df0dcf124bb6cb8da99a0caa8a061eb46df09", "language": "Jupyter", "lines": 314, "truncated": false, "block": 14, "row": 16035 }, { "path": "docs/source/tutorials/9_multiple_sources.ipynb", "sha256": "302d06c4478be04ef8612c461cb22e6567f5a1fccf3ed9d2f887e3be05494dae", "language": "Jupyter", "lines": 170, "truncated": false, "block": 14, "row": 15675 }, { "path": "src/__init__.py", "sha256": "7f495dba7735aa62286abb731b3931f8776c32a0b91f1f737754e7bd44dc26bb", "language": "Python", "lines": 3, "truncated": false, "block": 15, "row": 5620 }, { "path": "src/pyfibers/MOD/AXNODE_myel.mod", "sha256": "ab9b83f39646593849ff0948b6398300fdb3212e470eafed11261e12a45101fa", "language": "NEURON", "lines": 247, "truncated": false, "block": 10, "row": 9478 }, { "path": "src/pyfibers/MOD/BK.mod", "sha256": "1dee52506724913629c28ca242370cbcb5a881732ba850744b059c0045166e1f", "language": "NEURON", "lines": 90, "truncated": false, "block": 15, "row": 5117 }, { "path": "src/pyfibers/MOD/CaPump.mod", "sha256": "e620ca2f831e2ff604e4f4c424da785fbeb3143b9142dd75008b33c6cb47bd6e", "language": "NEURON", "lines": 57, "truncated": false, "block": 10, "row": 9447 }, { "path": "src/pyfibers/MOD/CaV12.mod", "sha256": "75e1c5e4250e84e69807f8eb5c7affa52af7836f2da86385d75eac66069aa09f", "language": "NEURON", "lines": 89, "truncated": false, "block": 15, "row": 5101 }, { "path": "src/pyfibers/MOD/CaV22.mod", "sha256": "5d7aac3abe78ce2f2674fd248a8f9a8d58310ed5247ee27ffa19f2d045835bee", "language": "NEURON", "lines": 97, "truncated": false, "block": 15, "row": 5129 }, { "path": "src/pyfibers/MOD/DNav18.mod", "sha256": "9d00321917f398ed60328c0356c0fd66bb38a32a3bc5ee8f5ade1861df169a12", "language": "NEURON", "lines": 107, "truncated": false, "block": 15, "row": 5138 }, { "path": "src/pyfibers/MOD/HCN.mod", "sha256": "52224488c5c1bd2b57141fa1733fd17a86645cd08c427c47aefe1d7924e72ee6", "language": "NEURON", "lines": 104, "truncated": false, "block": 15, "row": 5215 }, { "path": "src/pyfibers/MOD/KA14.mod", "sha256": "fd449050f73a2a17fca4a3b335448cfb9d6c4ebde4e26ad9eb1efe7c38594e9c", "language": "NEURON", "lines": 91, "truncated": false, "block": 15, "row": 5133 }, { "path": "src/pyfibers/MOD/KA34.mod", "sha256": "569f61a8ab59e2bb85cf1571d97563e2e794d4dad3f74b7dc85dc8742eaf645f", "language": "NEURON", "lines": 93, "truncated": false, "block": 15, "row": 5210 }, { "path": "src/pyfibers/MOD/KM.mod", "sha256": "669484471dca1e119ddcbd2925b935de5464e0598a19c98c20980d0dfdfc9c3a", "language": "NEURON", "lines": 83, "truncated": false, "block": 15, "row": 5123 }, { "path": "src/pyfibers/MOD/KV21.mod", "sha256": "63283016920ab09ce771c449b7f6c48fd9d1b503412ab14543cf6ce1aaf9159a", "language": "NEURON", "lines": 78, "truncated": false, "block": 15, "row": 5069 }, { "path": "src/pyfibers/MOD/NaCX.mod", "sha256": "3d255116fdace5b41cef4ca909fdda22a6b6d8bf75a3ec076486a7a2f82b1e11", "language": "NEURON", "lines": 74, "truncated": false, "block": 15, "row": 5070 }, { "path": "src/pyfibers/MOD/NaCaPump.mod", "sha256": "febeff01fb245afc9a7ff5095e27dbbefd3dd960cf0d3f662f325a417eec2607", "language": "NEURON", "lines": 81, "truncated": false, "block": 15, "row": 5226 }, { "path": "src/pyfibers/MOD/NaV7.mod", "sha256": "fccbdef5e70eed976ca0561c4086a94a8163eb0bbaa37af1743b010818f7875f", "language": "NEURON", "lines": 89, "truncated": false, "block": 15, "row": 5124 }, { "path": "src/pyfibers/MOD/NaV9.mod", "sha256": "c50bcae39c5b45c673a972519f656ca3738129f167addbcc815a14c44b6ab3a0", "language": "NEURON", "lines": 92, "truncated": false, "block": 15, "row": 5128 }, { "path": "src/pyfibers/MOD/Nakpump.mod", "sha256": "29d92940ddda2b0fd35c26740b3d4fcdae9fa18cffb52f32810b65cfd34aeb14", "language": "NEURON", "lines": 84, "truncated": false, "block": 15, "row": 5102 }, { "path": "src/pyfibers/MOD/NakpumpSchild.mod", "sha256": "96b7831d33b0b44b19be3440d245fbf9537316566f88ed7d3e78174d0f749171", "language": "NEURON", "lines": 66, "truncated": false, "block": 15, "row": 5218 }, { "path": "src/pyfibers/MOD/RattayAberham.mod", "sha256": "1a1649f9af454909618e1a022cae85911761e579c9f8c5cfe5be8cb97910dac8", "language": "NEURON", "lines": 118, "truncated": false, "block": 10, "row": 9460 }, { "path": "src/pyfibers/MOD/SK.mod", "sha256": "d7a342758582be1634c4afc372037c73041102a11724d3d431c967247ea9ee3a", "language": "NEURON", "lines": 82, "truncated": false, "block": 15, "row": 5100 }, { "path": "src/pyfibers/MOD/caextscale.mod", "sha256": "edadcc14c4e1608c310b135370e4b39ec59b3de268f510b35dc8b6d4566c278c", "language": "NEURON", "lines": 79, "truncated": false, "block": 15, "row": 5235 }, { "path": "src/pyfibers/MOD/caintscale.mod", "sha256": "24a930a47d525c0b6f151ca10dfbcc2c7c2be53ecfc2855a88eb646bed79d8b9", "language": "NEURON", "lines": 76, "truncated": false, "block": 10, "row": 9457 }, { "path": "src/pyfibers/MOD/can.mod", "sha256": "97ee5a29e1c044ed0740388483a774fb49065b6d714760318e5356c0084af217", "language": "NEURON", "lines": 158, "truncated": false, "block": 15, "row": 5297 }, { "path": "src/pyfibers/MOD/cat.mod", "sha256": "44dcde9109fd36caf008afa076e299336d861c21287cc906551145ea2bf37d13", "language": "NEURON", "lines": 131, "truncated": false, "block": 15, "row": 5288 }, { "path": "src/pyfibers/MOD/extrapump.mod", "sha256": "ca484468bb07abb05b6c0c236bc7f4981a28cdabe200714c0ca22f40021472c3", "language": "NEURON", "lines": 39, "truncated": false, "block": 15, "row": 4995 }, { "path": "src/pyfibers/MOD/h.mod", "sha256": "b4238bb105e00f142b10a02cf178304ac865b774016f2e85237564f10de2e8f2", "language": "NEURON", "lines": 93, "truncated": false, "block": 10, "row": 9452 }, { "path": "src/pyfibers/MOD/k_ion_dynamics.mod", "sha256": "d08b483041a55f3ab6903d976e437d0c6bb318a42d9ddc1cf154cfbb9134a8ec", "language": "NEURON", "lines": 54, "truncated": false, "block": 15, "row": 5026 }, { "path": "src/pyfibers/MOD/k_ion_dynamics_tigerholm.mod", "sha256": "5ef6d6aa52d446a87491140911032d551b41ca714f5d475cce60cb2999bd9137", "language": "NEURON", "lines": 54, "truncated": false, "block": 15, "row": 5028 }, { "path": "src/pyfibers/MOD/ka.mod", "sha256": "aa8abcce1e219e5ffe30345dda366f57ba40dae371325e43559bf9beb0adfe72", "language": "NEURON", "lines": 114, "truncated": false, "block": 15, "row": 5269 }, { "path": "src/pyfibers/MOD/kca.mod", "sha256": "61c511165615ec4ed3082ac4b67d97e7cea7fd3d1631dfc0618db8dc30e43dcd", "language": "NEURON", "lines": 110, "truncated": false, "block": 15, "row": 5251 }, { "path": "src/pyfibers/MOD/kd.mod", "sha256": "13d24fc6a8ace1261e0e666880b4fe039f4821469e1b153f0c3905323de8d5a0", "language": "NEURON", "lines": 109, "truncated": false, "block": 15, "row": 5271 }, { "path": "src/pyfibers/MOD/kdr.mod", "sha256": "437766a6538c3002844c759d7719d2ba3b83e77e37de318756c69fe0fda97b55", "language": "NEURON", "lines": 91, "truncated": false, "block": 10, "row": 9442 }, { "path": "src/pyfibers/MOD/kdrTiger.mod", "sha256": "8f0e5307987fe490eba440788440992a19eef6fc10675b0becb6bed0e606562c", "language": "NEURON", "lines": 67, "truncated": false, "block": 10, "row": 9414 }, { "path": "src/pyfibers/MOD/kds.mod", "sha256": "017c13bab73be2528cb8cc145ddaeee18fb7db55aa0ed7a282e0172a3d809b84", "language": "NEURON", "lines": 111, "truncated": false, "block": 15, "row": 5258 }, { "path": "src/pyfibers/MOD/kf.mod", "sha256": "06f413d2671577449ae4b9bc6e5de8de47c41d842e8d3d712eebc38574b8b84a", "language": "NEURON", "lines": 81, "truncated": false, "block": 10, "row": 9436 }, { "path": "src/pyfibers/MOD/kna.mod", "sha256": "258d01e7f42b5c47ae80126f24a9436501c817ec1d1f705f2316b27db0d91a23", "language": "NEURON", "lines": 50, "truncated": false, "block": 10, "row": 9405 }, { "path": "src/pyfibers/MOD/ks.mod", "sha256": "785b631c6db41825f899b4aad4a64d98b877fb44515b59b3061e62618d465186", "language": "NEURON", "lines": 76, "truncated": false, "block": 15, "row": 5105 }, { "path": "src/pyfibers/MOD/leak.mod", "sha256": "a1a5b89842b56cb60aa43ed6272ab737391bcfe1330713fdfc0111f86deb0360", "language": "NEURON", "lines": 50, "truncated": false, "block": 15, "row": 5009 }, { "path": "src/pyfibers/MOD/leakSchild.mod", "sha256": "26c00e502bd99e33d6caddabb92bc24694768757d6ae1afeb29db11958eea822", "language": "NEURON", "lines": 59, "truncated": false, "block": 15, "row": 5120 }, { "path": "src/pyfibers/MOD/na_ion_dynamics.mod", "sha256": "095051988d3ae4f97fb509f095c994bf5f501cc7176b97e2db3f0c073c6ecc11", "language": "NEURON", "lines": 55, "truncated": false, "block": 15, "row": 5029 }, { "path": "src/pyfibers/MOD/na_ion_dynamics_tigerholm.mod", "sha256": "7afc36d4b6c4ca0ce4804cba3b7208a4a391273de31d80e5159c74f3989037e4", "language": "NEURON", "lines": 55, "truncated": false, "block": 15, "row": 5032 }, { "path": "src/pyfibers/MOD/naf.mod", "sha256": "42865ba4599048ce67b23f2d677d63588cbec2ef3a7dfbb21072ff7cc830b743", "language": "NEURON", "lines": 142, "truncated": false, "block": 10, "row": 9476 }, { "path": "src/pyfibers/MOD/naf97mean.mod", "sha256": "b752b2cbcbd4404c659faa979ec137ef42c2a19696be373b1a3682ff760771f8", "language": "NEURON", "lines": 115, "truncated": false, "block": 15, "row": 5263 }, { "path": "src/pyfibers/MOD/nahh.mod", "sha256": "03d80c345efe8323be7df0261af763c655ef46b8bb7bd5519f265e2bc2489483", "language": "NEURON", "lines": 92, "truncated": false, "block": 10, "row": 9435 }, { "path": "src/pyfibers/MOD/nas.mod", "sha256": "073a9d33413af7325f2de58753f2c136e81bd372029cdfeee5cfbe604ac4a9b2", "language": "NEURON", "lines": 114, "truncated": false, "block": 10, "row": 9469 }, { "path": "src/pyfibers/MOD/nas97mean.mod", "sha256": "0a41d2b66d0d92c3ce72557eee3883e4a2b6f7d4e79b79ed86eff04dd3302bf9", "language": "NEURON", "lines": 112, "truncated": false, "block": 10, "row": 9470 }, { "path": "src/pyfibers/MOD/nattxs.mod", "sha256": "06e074377fd7c34d4f94e5cab5eb501103898a438805f41772943e71559baba4", "language": "NEURON", "lines": 131, "truncated": false, "block": 10, "row": 9459 }, { "path": "src/pyfibers/MOD/nav1p9.mod", "sha256": "5a21b925ee4adb8048f68d7c52701e925046a7639a6c516874272d146d6f664f", "language": "NEURON", "lines": 142, "truncated": false, "block": 10, "row": 9474 }, { "path": "src/pyfibers/MOD/newNaV8.mod", "sha256": "8dad5c4b8d1d56928bd347679319dff7890ec45590f954f8ab9fc3025e319f5b", "language": "NEURON", "lines": 97, "truncated": false, "block": 15, "row": 5136 }, { "path": "src/pyfibers/MOD/sweeney.mod", "sha256": "826de3cbbc5ec9a15605232c328875a2508c3675d05d5c54ef9640472e13e6c3", "language": "NEURON", "lines": 122, "truncated": false, "block": 15, "row": 5127 }, { "path": "src/pyfibers/MOD/train.mod", "sha256": "a65d9d0fa68e0194b4633669f27b48a512bd0e5f217b6024887e4cbf9b22e706", "language": "NEURON", "lines": 58, "truncated": false, "block": 10, "row": 9420 }, { "path": "src/pyfibers/__init__.py", "sha256": "4c0cfe0e3b08ce41bc0f7de936e0b3cdfc6a4c3fd7347b7a88dbfa7c4dd631d2", "language": "Python", "lines": 99, "truncated": false, "block": 15, "row": 13538 }, { "path": "src/pyfibers/compile.py", "sha256": "92bc2e513e0c60a61a38c7b8318ee74f56e9ce2523a9b12339d16a0148fc23cc", "language": "Python", "lines": 82, "truncated": false, "block": 15, "row": 12585 }, { "path": "src/pyfibers/fiber.py", "sha256": "106c1be3c9615e4b3c61229b0ba3040fdf175bccb84c1ba63d1ee5b670ce9720", "language": "Python", "lines": 1293, "truncated": false, "block": 16, "row": 1372 }, { "path": "src/pyfibers/model_enum.py", "sha256": "386d530da2c9500b30f5a3dc178eb6cfa6bc8ad3f2a455cf841447d3b015a2fe", "language": "Python", "lines": 147, "truncated": false, "block": 15, "row": 18129 }, { "path": "src/pyfibers/models/__init__.py", "sha256": "90dbd796ce390421c20b222c62f9ac757c9679dccf326d1d0eec1cb97024f5ba", "language": "Python", "lines": 13, "truncated": false, "block": 15, "row": 6675 }, { "path": "src/pyfibers/models/mrg.py", "sha256": "f17a4520f38c1d03ec237e0b88a95ec9bd38ab89fa743ebf914ef8c282665cbf", "language": "Python", "lines": 347, "truncated": false, "block": 15, "row": 23638 }, { "path": "src/pyfibers/models/rattay.py", "sha256": "673a0091a1b6f00692ddcef86f4dfe2173f1cab853a7934ddb35f4b425cadfa0", "language": "Python", "lines": 54, "truncated": false, "block": 15, "row": 9929 }, { "path": "src/pyfibers/models/schild.py", "sha256": "98707161379b347d13ecba13cab81b26bd800fbb46e7a388db755f884e221c10", "language": "Python", "lines": 130, "truncated": false, "block": 15, "row": 16999 }, { "path": "src/pyfibers/models/sundt.py", "sha256": "0c52dff1afc5706d154a15f5d16b1847805b10eb04b2cc92d38db286f2aaa932", "language": "Python", "lines": 61, "truncated": false, "block": 15, "row": 10942 }, { "path": "src/pyfibers/models/sweeney.py", "sha256": "0f54cb3a35380e180bc4b60889fd87b43056b9dc1b0d796b5e649987f0ecf2f0", "language": "Python", "lines": 89, "truncated": false, "block": 15, "row": 12801 }, { "path": "src/pyfibers/models/thio.py", "sha256": "c8687ed0f80029341d28f3491c10b333d118ebdd36f743ad58b47ee51900c2e8", "language": "Python", "lines": 207, "truncated": false, "block": 15, "row": 19083 }, { "path": "src/pyfibers/models/tigerholm.py", "sha256": "358222e500968ecbf1f40bd07e7dd1e3fa739454eec315bb7559603ceb0742b1", "language": "Python", "lines": 122, "truncated": false, "block": 15, "row": 15717 }, { "path": "src/pyfibers/stimulation.py", "sha256": "e44cf4f5ef044d6c306c3c6c0bdc30fe844dc58db9019cfb4f08bea6030aa35b", "language": "Python", "lines": 1216, "truncated": false, "block": 16, "row": 1366 }, { "path": "tests/__init__.py", "sha256": "20ff084dd92a9abb48eb5a9a64016a4e9fe6637f1dd306f93378b4b17a3f5f4b", "language": "Python", "lines": 13, "truncated": false, "block": 15, "row": 6474 }, { "path": "tests/integration/__init__.py", "sha256": "436f205dcdd8a5e8604779a63378edeaa9a67b8926177acebb072b4aab1997a6", "language": "Python", "lines": 13, "truncated": false, "block": 15, "row": 6520 }, { "path": "tests/integration/test_extra_thresholds.py", "sha256": "18c6d36d695b18495c4fbf88fcb348a6fab25971df97d33dede028cfd3b05ae3", "language": "Python", "lines": 231, "truncated": false, "block": 15, "row": 19515 }, { "path": "tests/integration/test_intra_thresholds.py", "sha256": "7e751d26db13ea84c26f540b4dcc3d19f0494ada2e9f89ed5fe8161cd89d5d28", "language": "Python", "lines": 105, "truncated": false, "block": 15, "row": 12477 }, { "path": "tests/unit/__init__.py", "sha256": "436f205dcdd8a5e8604779a63378edeaa9a67b8926177acebb072b4aab1997a6", "language": "Python", "lines": 13, "truncated": false, "block": 15, "row": 6520 }, { "path": "tests/unit/test_fiber/__init__.py", "sha256": "7e40efc1b0bfc94a1bb7bdec58d25b123e44d59a4d0ba949a0d5b83b1f06ba5e", "language": "Python", "lines": 13, "truncated": false, "block": 15, "row": 6484 }, { "path": "tests/unit/test_fiber/test_apcounts.py", "sha256": "ac54914ff2427279861251f0809c36783f26bc719a2032f2b4d2879ba5b48701", "language": "Python", "lines": 55, "truncated": false, "block": 15, "row": 9232 }, { "path": "tests/unit/test_fiber/test_basic_fiber.py", "sha256": "abbbb4b8205a57f110afbdadc55181f54f33c337e70a10a7aaca42fb0f84e262", "language": "Python", "lines": 121, "truncated": false, "block": 15, "row": 15492 }, { "path": "tests/unit/test_fiber/test_fiber_3d.py", "sha256": "a4539881a407076a486038097ee314c39edebc2b3d216271d6fa82f4a9c76168", "language": "Python", "lines": 105, "truncated": false, "block": 15, "row": 14967 }, { "path": "tests/unit/test_fiber/test_measure_cv.py", "sha256": "9e11396f303087d70b938672a520dde91449076328ee825d8eac038a77b800ce", "language": "Python", "lines": 70, "truncated": false, "block": 15, "row": 10905 }, { "path": "tests/unit/test_fiber/test_pointsource.py", "sha256": "73c41434d2c8df005aa174011e7a18889c8aafb58abe78c267495b1635459715", "language": "Python", "lines": 57, "truncated": false, "block": 15, "row": 11343 }, { "path": "tests/unit/test_fiber/test_record.py", "sha256": "529677179d302430f6efd9385ea61f8dcad5f76e43bf2178c8f3b0c2c6fcfb9a", "language": "Python", "lines": 132, "truncated": false, "block": 15, "row": 15662 }, { "path": "tests/unit/test_fiber/test_resample_potentials.py", "sha256": "b7b4b655ffb5b93479e731748d76c503e33cef4b9016c42b785d68827a31c47a", "language": "Python", "lines": 466, "truncated": false, "block": 15, "row": 25096 }, { "path": "tests/unit/test_fiber/test_sfap.py", "sha256": "2dd52c23bea14db95352ebb47ed8fdb0e7ae19024cfb509c8e29208edeedf069", "language": "Python", "lines": 92, "truncated": false, "block": 15, "row": 13357 }, { "path": "tests/unit/test_fiber/test_shift_modulus_message.py", "sha256": "e2ce98dfb670f36119d560793c9c28c0857b4066e5bd96610309949c76e9f3ce", "language": "Python", "lines": 192, "truncated": false, "block": 15, "row": 20601 }, { "path": "tests/unit/test_model_enum.py", "sha256": "98bce35420aaba9ded531f4266af373bf82e71e3ecb309483adc886630e5803a", "language": "Python", "lines": 417, "truncated": false, "block": 15, "row": 23812 }, { "path": "tests/unit/test_stimulation/test_end_excitation.py", "sha256": "b1834195819428b1cb7bfa58198da5434db601f37a8ab253f4e54c0139c8173d", "language": "Python", "lines": 80, "truncated": false, "block": 15, "row": 13263 }, { "path": "tests/unit/test_stimulation/test_intrastim_cleanup.py", "sha256": "d93190156179549c0b983b0abce3d17b4b91da2d8eebfac54788fcca3d604b42", "language": "Python", "lines": 70, "truncated": false, "block": 15, "row": 10466 }, { "path": "tests/unit/test_stimulation/test_multiple_sources.py", "sha256": "16851b7101f244d2a0b90de0bbbce2ba91fc74e3632e5c8741ef6b76a06f215e", "language": "Python", "lines": 78, "truncated": false, "block": 15, "row": 12227 } ] }