{ "format": "oscr-script-manifest/1", "repository": "gitlab.com/tommyclausner/meglyon-experiment-runner", "url": "https://gitlab.com/TommyClausner/meglyon-experiment-runner", "host": "gitlab.com", "commit": "3142259d00c028187537b91c54fe6151f49f31fc", "license": "GPL-3.0", "license_confirmed_by": "license file LICENSE", "redistribution": "yes", "files": [ { "path": "LICENSE", "sha256": "5a888fe066a2ce9d16c718c5a2d6781a0898ba5f7546b22df7cb39ef1030b5b9", "language": "License", "lines": 674, "truncated": false, "block": 19, "row": 4301 }, { "path": "README.md", "sha256": "c26228dfec71cbda4dd24f5bab1d501b56d7ebb4f953b27f29b6e2d94e35c7a6", "language": "Text", "lines": 17, "truncated": false, "block": 19, "row": 16003 }, { "path": "experiments/PsychoPy/beh_pilot_V85P85_lastrun.py", "sha256": "46719184a2cb1d9748af519901d0bc589e5c6dcab813ae729fe6e57404c81d9c", "language": "Python", "lines": 2256, "truncated": false, "block": 19, "row": 14632 }, { "path": "experiments/PsychoPy/practice_att_MEG_v0.py", "sha256": "bb47fd1ad915e7af3e48baba3af2524e1076fce8c7d342fecf57be841b665eef", "language": "Python", "lines": 1073, "truncated": false, "block": 19, "row": 14569 }, { "path": "experiments/PsychoPy/practice_att_MEG_v1.py", "sha256": "96882be306bf3714e9f6cd5b63804e582cd6d4a921aa6d4dbc59bac15b0f0df0", "language": "Python", "lines": 1072, "truncated": false, "block": 19, "row": 14568 }, { "path": "extract_staircase.py", "sha256": "60b4f1e997a9cd79a81deb3eb6647d30da0619ec026a237c79a71f710d40d0fe", "language": "Python", "lines": 41, "truncated": false, "block": 19, "row": 9283 }, { "path": "meglyoner.py", "sha256": "82fca9f19676b894f2fd4bbcb74ba95f99fff8643e71f12501c7e620dc6acf3d", "language": "Python", "lines": 136, "truncated": false, "block": 19, "row": 11709 }, { "path": "meglyoner/__init__.py", "sha256": "12fa21174885e33cd0070029baf40e8a8ae87fc625994a9b200f6e2873890b08", "language": "Python", "lines": 5, "truncated": false, "block": 19, "row": 8582 }, { "path": "meglyoner/experiment.py", "sha256": "691a60804523d6225c71dfb9d6943a643053a2e1bfa4a4811cbde8c29ef2106d", "language": "Python", "lines": 1386, "truncated": false, "block": 19, "row": 14570 }, { "path": "meglyoner/eyelink.py", "sha256": "de85076b22b5321ba3f7dfc92894e42fc9beffcd6e36577f1f6b1957a09c1e69", "language": "Python", "lines": 21, "truncated": false, "block": 19, "row": 9052 }, { "path": "meglyoner/generate.py", "sha256": "5f259f6a054280a751249b410fc31e264d9bd81d0565c3e08e6cc47864c08f7c", "language": "Python", "lines": 2826, "truncated": false, "block": 19, "row": 14629 }, { "path": "meglyoner/interface.py", "sha256": "193c1a1259aca8f7abfdcd80a0cbde6dc068c6bd8a2670d1cd7e73c7b0dea4d8", "language": "Python", "lines": 192, "truncated": false, "block": 19, "row": 12103 }, { "path": "new_session.py", "sha256": "1c0dce7b6e5d5dad1f78a9a9339f83eb1a5b64f0af156141abfa3e5c76a7671b", "language": "Python", "lines": 103, "truncated": false, "block": 19, "row": 10923 }, { "path": "run_attention.py", "sha256": "8a94673f0f95a8826543db835c0d30c403a9b5ec7a9ead59235d108a96d76272", "language": "Python", "lines": 81, "truncated": false, "block": 19, "row": 10130 }, { "path": "run_faces.py", "sha256": "de983593ff6fae69b79f8ef58c392c87dbb8a32a84ca864d7aa5cd0f05f41a7f", "language": "Python", "lines": 80, "truncated": false, "block": 19, "row": 10112 }, { "path": "run_localiser.py", "sha256": "f52c14c8dd834c295c86abec7de043fa6e0a5df43b138e7a4b76398dc0f24428", "language": "Python", "lines": 99, "truncated": false, "block": 19, "row": 10642 }, { "path": "run_prediction.py", "sha256": "acb50fb83ebfdcb85d527897260b7aecfa601141dd73f002d0e3388bfb989dc1", "language": "Python", "lines": 47, "truncated": false, "block": 19, "row": 9353 }, { "path": "run_resting.py", "sha256": "f32a7ff09bae69d834112e7bf61e66ac3d8a59a963f99ea9d0faea691038eb8e", "language": "Python", "lines": 85, "truncated": false, "block": 19, "row": 10239 }, { "path": "setup.py", "sha256": "40037ac069e6454dd560198bb522eb4ee5f95e3c0d4105a5d81dafb88e6fef96", "language": "Python", "lines": 82, "truncated": false, "block": 19, "row": 9804 } ] }