Datasets:
file_systems: fable-5/paper1 view.tar.part-000 + manifest
Browse files
file_systems/fable-5/paper1/manifest.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"agent":"fable-5","paper":1,"view":"Full-submission view the judge read: proposal/ plus the solver working directory as workdir_outside_proposal/; agent transcripts, environments and agent configs were not shown.","archive":{"format":"uncompressed tar (PAX) split into parts: cat view.tar.part-* > view.tar && tar -xf view.tar","parts":[{"file":"view.tar.part-000","size":688230400,"sha256":"711be372ec1b27929e0b89300702a4e363bc437c2ec3b1942a9672a38fefa571"}],"bytes":688230400},"files":[["workdir_outside_proposal/code/hippynn/.gitattributes",33,"ff21ed7f8f6784b8ce2b6b3be72740ce5b6f48deb50c214bbcba127475a568ab"],["workdir_outside_proposal/code/hippynn/.github/workflows/auto_doc_build.yml",1519,"aaea428c22d2ba6291692940007e65e7043a95c357122a246cb1bc3443b3085c"],["workdir_outside_proposal/code/hippynn/.github/workflows/build.yml",1252,"6035a6231a18bbae6fd952b3a416acb5971a39bf81517481fb14f4c27e12f6aa"],["workdir_outside_proposal/code/hippynn/.github/workflows/deploy.yml",866,"7ebb06f12f51b8e6445f474f7f665832b81c2ec201dde623e6e9aa567e184a7c"],["workdir_outside_proposal/code/hippynn/.gitignore",112,"a8601189902b93760ad010874312fa50eea7df7084ca0507fcbfb919635ff9c1"],["workdir_outside_proposal/code/hippynn/AUTHORS.txt",805,"9cc149f6ddd9bb19ae88bd3bf0cdaf3b716d8a1e8f9a9e7ef2cd2c3a006183f1"],["workdir_outside_proposal/code/hippynn/CHANGELOG.rst",13963,"bcf2b723dabcf19d1bf4a5908c2b3ece447ad62740a46efcfcbd96f0374df3ca"],["workdir_outside_proposal/code/hippynn/COPYRIGHT.txt",744,"3d450e3f1a84d07fc030f81fab1a01ca397ac890d3e541b0ce8a5e0632870877"],["workdir_outside_proposal/code/hippynn/LICENSE.txt",1479,"fb062bf1d44b5ebbaba846359c6a97ba628e75cc02ed9904bad751a4137cacb3"],["workdir_outside_proposal/code/hippynn/MANIFEST.in",70,"684e92fdab7043d9cd3556e2c6c61b5e26cd99f5e9e9491f58cdd28405d1ac77"],["workdir_outside_proposal/code/hippynn/README.rst",6763,"449a10c94ec86a5e91062fda91ac0aa088d97dec6046f1c3eec7f301764cb696"],["workdir_outside_proposal/code/hippynn/conda_requirements.txt",122,"22a376bc2ef5f60f826ba1f2864a698c09c4466a77e19d295fbcbde119a429b1"],["workdir_outside_proposal/code/hippynn/docs/.gitignore",80,"cb75912117e6f4d73c919500cf898f0d8cbd8f982eb0c52c2c75c5c2dd70fad1"],["workdir_outside_proposal/code/hippynn/docs/Makefile",1125,"48524e099696997024239db2b188190136afbccf7360c0520b4fae6c8eaa8411"],["workdir_outside_proposal/code/hippynn/docs/README.txt",906,"e15074a1e38196cab80e14691f0225d234ba0818d7272e2a459f2e48abeb51e0"],["workdir_outside_proposal/code/hippynn/docs/make.bat",799,"e7302d938728984369c2a45c22e67016c7472a1d46ebd4fee145261aa4bb7e9d"],["workdir_outside_proposal/code/hippynn/docs/source/_static/css/custom.css",767,"53cf22750b9c9c2f0ba848cfec1fe30e2f634d272b78f660399a13189095a775"],["workdir_outside_proposal/code/hippynn/docs/source/_templates/autodoc/module.rst.jinja",438,"fe9a4ad61d4147392c8e4d479017de3178033b00fe7390aa790077770d0d063f"],["workdir_outside_proposal/code/hippynn/docs/source/_templates/autodoc/package.rst.jinja",1233,"abafce2eafcce197067164b79630a7ac31d0a318cac2337dfe01f9959367afb7"],["workdir_outside_proposal/code/hippynn/docs/source/_templates/autosummary/module.rst",1680,"574da95e141d1faf5e18afecf0b900ef3c32998729c3433b83235aa774a0c30a"],["workdir_outside_proposal/code/hippynn/docs/source/api_documentation/modules.rst",58,"3b4ade8b98f6948c72b365792c529f8b01ed0194e64463a026a5aa6a04560323"],["workdir_outside_proposal/code/hippynn/docs/source/api_summary/modules.rst",136,"61ebff30938ad9ef498923462df57ce80c3eb6ec9bbce12b04d9414c3c085e4d"],["workdir_outside_proposal/code/hippynn/docs/source/bibliography.rst",4314,"cb092d0eb06d44298edca6c043916208ccb4a6d96f1fcef93293063cd99078ac"],["workdir_outside_proposal/code/hippynn/docs/source/conf.py",3526,"a5463288f7e303e04b83385002f86df9bcefee812cf0484d969ec695ebd90331"],["workdir_outside_proposal/code/hippynn/docs/source/examples/ase_calculator.rst",1628,"fd3e3baa94207e470bb04564bf7e7cea538472cac6997e94e6f4e13a4b91e469"],["workdir_outside_proposal/code/hippynn/docs/source/examples/cheq.rst",3484,"598602df889a2457393c1157ee5aa1ec7703b622228c2261ea0c92ca437b547a"],["workdir_outside_proposal/code/hippynn/docs/source/examples/controller.rst",1691,"cf27bf29ce3ea970c772da3d754a136bb2699dfe42590ad856471d1cb7677205"],["workdir_outside_proposal/code/hippynn/docs/source/examples/ensembles.rst",1202,"dd891fd31816cc518628923ac7ae8103d05c1176cfb653c37a2cde4f8b81ef36"],["workdir_outside_proposal/code/hippynn/docs/source/examples/excited_states.rst",3111,"0cb15828f2d47b83b044e603dbc4e66969b67d2dab4457c0288d4ee63f1084c6"],["workdir_outside_proposal/code/hippynn/docs/source/examples/forces.rst",341,"9f072fa498e45861205a29e3ad2f00c99811ac26870d50daabe776dfd3f91f71"],["workdir_outside_proposal/code/hippynn/docs/source/examples/hyperopt.rst",16521,"cdbcef4e49509e2403c9e4efb22b07b35b5eec2245901d2b60bc5bab30f1ca62"],["workdir_outside_proposal/code/hippynn/docs/source/examples/index.rst",672,"018f9184e564e3ee46369574e4cf659039d63cb39780987e8132cf4c32b6c3d8"],["workdir_outside_proposal/code/hippynn/docs/source/examples/lightning.rst",971,"4b6f4b6aeb479d5c00933c6ea0e30e5a89ffcb19e64e11069f7686b5e1fd5499"],["workdir_outside_proposal/code/hippynn/docs/source/examples/minimal_workflow.rst",7445,"79425712464cf8f87110821d8a109c225f0b971abef74dc890be4dd6766d9c3f"],["workdir_outside_proposal/code/hippynn/docs/source/examples/mliap_unified.rst",3449,"082dc041c5c891d76b408995781e28229ac9f770d54f04c426b842ef73437808"],["workdir_outside_proposal/code/hippynn/docs/source/examples/periodic.rst",5000,"3a1123c5bf5329b3f818202f3c66d6c002cecd2c95fdcf634138298cbea65fd3"],["workdir_outside_proposal/code/hippynn/docs/source/examples/plotting.rst",847,"d550bcee6b3350cfb5bac20e917cf69851f4092352011a07af2884b3231bf9b3"],["workdir_outside_proposal/code/hippynn/docs/source/examples/predictor.rst",1674,"8a00f1f01c29ee211080c74e27a70227e124503cd8f26bd63fd9c562e12919ec"],["workdir_outside_proposal/code/hippynn/docs/source/examples/profiling.rst",1787,"f3317b2b0557d3a71f0ddb19ccae6e25d4e36a452a39edb365bfab112150ffcc"],["workdir_outside_proposal/code/hippynn/docs/source/examples/restarting.rst",6055,"3231c592a814cc504517666713c3e88e87d8853885b88d5e89f60f8c0f38123d"],["workdir_outside_proposal/code/hippynn/docs/source/examples/weighted_loss.rst",3162,"41691378a1a5bdd444695da573d7a4d7592a93b4d00eea9a9ecca50e9baa8bc3"],["workdir_outside_proposal/code/hippynn/docs/source/index.rst",1544,"fee53c13735a285871fc9c98f501f76c7fcb71eb2c40104cfd2bab0ec6547e8b"],["workdir_outside_proposal/code/hippynn/docs/source/installation.rst",4586,"ff82f15eac146ad7047758cea100bb4f0f9c08a3c96080785d2ea3d4d53c32af"],["workdir_outside_proposal/code/hippynn/docs/source/license.rst",2266,"8166a9ca4c8661a8ce273ed6bf40eaec8edd2e5c9986654f702e8ed4ef03dfa3"],["workdir_outside_proposal/code/hippynn/docs/source/refs.bib",14306,"9a52feb8d82933733ddb701b9e08b0d0f2d85c3992fc4215b892718096ed6c3e"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/ckernels.rst",6605,"f23bd0ef5036357b3950ed553fafdcf6e57309a542c1231a8b3e675b13e03abc"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/concepts.rst",1917,"cd3c058e8da11920cd25d69f0a0dd8e3d5f2b84d293aa1a3ccbcdfcd22a90cc0"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/custom_nodes.rst",7504,"922826cdee7bceaf852c574886570e622439214643c9cb686ff1c97eca4450af"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/databases.rst",3018,"33dfc41bd45aa7a0e86ca10b7af315fab6247d68ed5a5dc59d80ea5c1d49f2cd"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/features.rst",2918,"0a03670b2755c5032554b04450c175897fc914488633d52aac98707a9c7d8e84"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/index.rst",248,"0301c3dd7f6d63bf1cc16fa3c7062b4b60d449b97924a3902431694adfb9f0c3"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/loss_graph.rst",2438,"c1a6ee64d0c36ae48e584066539ce81dd835bb170da12fcfe22015ab6ddab2c8"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/performance.rst",2632,"8c9bcc3e23a5a6b64c37d0b85a425fd138480abbd9755ceac819dc08fce6871c"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/settings.rst",3527,"36812af87721dfe134953ea47540db39bb3cb0e04749bac4113bd62675297f0a"],["workdir_outside_proposal/code/hippynn/docs/source/user_guide/units.rst",2566,"b9d908115787ae4a49fb4c4b65213e52821abf66b4b9da4410d896654c9c4de8"],["workdir_outside_proposal/code/hippynn/docs/source/what_is_hippynn.rst",2781,"7a254647887fcd8e4b0c432c24c56c3f0184bebfcabcea5e9e7bcc54f8b0dc43"],["workdir_outside_proposal/code/hippynn/examples/InPSNAPExample.py",7704,"4fc1f6e53f349ef1bb6f1908a7150b4a1105f178b7b6a19a4673c96760d79b48"],["workdir_outside_proposal/code/hippynn/examples/QM7_example.py",7259,"cdf607e6a13a57d43efc43aefe34d93e7ab4f05ed6497bfc93d7775a72eb25e6"],["workdir_outside_proposal/code/hippynn/examples/README.md",1259,"ddde7dcd3f110a39d45fe8946ea6e0014f75fb8062cd114295e11584c13ed7b3"],["workdir_outside_proposal/code/hippynn/examples/TaSNAPExample.py",7175,"173d62c75a77ffbca88c9d77f9fb2ca887800966c70bc5b6bc84643323846154"],["workdir_outside_proposal/code/hippynn/examples/allegro_ag_example.py",6441,"fa11ad6a94a36ef05170d7e62e2b402f841d29cb10b3a9483188b55ae6bca566"],["workdir_outside_proposal/code/hippynn/examples/ani1x_training.py",13913,"290bdf051512106e8cbc84adb68c268923e3b791451cb4daa0bb46b827fa10e7"],["workdir_outside_proposal/code/hippynn/examples/ani_aluminum_example.py",7658,"654515e21b733e2929a0b87e7c9060a88158db9f86f7d8f77955f8938223aee4"],["workdir_outside_proposal/code/hippynn/examples/ani_aluminum_example_multilayer.py",7681,"b390d5225c4d1affa557998997e32aadce0f6bbcee80211e56a15e5405f5e75c"],["workdir_outside_proposal/code/hippynn/examples/ase_example.py",3209,"e1e00afa790b4940d56dd347994d6adee4526d80d06fde624e8af4a040842b12"],["workdir_outside_proposal/code/hippynn/examples/ase_example_multilayer.py",3252,"5afb2e5ec5aeac4ecbcaadfa7eda1cca7672ce3d5757df926b83985240fbca85"],["workdir_outside_proposal/code/hippynn/examples/barebones.py",3729,"b0e55be8f6bb9fe73281b4187e43d5eab54539e7eebc26813b0dcc2de5c211d5"],["workdir_outside_proposal/code/hippynn/examples/cheq_ani2x_training.py",9240,"a2bfa2961903f3da4af890f51f692c27b17eede42dd837af48261949a31758a1"],["workdir_outside_proposal/code/hippynn/examples/close_contact_finding.py",2176,"fece8c3d7c9facd20a1a932d0c5f7e5da8d4098c386269628b7ad04b1dcdae98"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/README.rst",2291,"ab97acb2577f87384c449033329c6065f3291ba521012739c46bd75c084ee173"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/__init__.py",0,"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/aa_to_cg_workflow.ipynb",12832,"94dbf479a690b6dd804a144228ec3ce3e3aaaa7eff332460107abc4e907271e0"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/cg_md.py",6753,"d6a9fc172b64148800f42cd08164a5bdfa99d19d75f7487d0da154021ddd04a2"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/cg_training.py",9784,"486b18bb4439557d1a69f1650d55d8b6bb22e5b21ffcdda247c5d0fad97bfc8e"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/lammps_md_inputs/in.lammps",1044,"4a72b32390c2371e7496452b6b4b9dcc336488f68efdacc28281219fd1b3280c"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/repulsive_potential.py",6536,"39f1aae64fd5a69eb7b9f01355d0747a9b6207e9cda83397484b269389c72804"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/repulsive_potential_viz.ipynb",7114,"1c0a27c8bccb6065a9ad59c021ff361a7dd2c6927439c125db591d018e10f5ad"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/save_model_for_lammps.py",1072,"794a5ac0decc0f7c6c08f7b60dd06a8ac9cb21803bdaea15c7295ca17dc819f6"],["workdir_outside_proposal/code/hippynn/examples/coarse-graining/write_lammps_data_file.py",3299,"78f2b579a408ea3a40ce12e814f8bccb1764cf068e97db168f208f3fc812b1b6"],["workdir_outside_proposal/code/hippynn/examples/convert_ani1x.py",3613,"7efdb49876f2866d4a8edf6b261bb721f1a2343ca5d25a913d84915f816631d1"],["workdir_outside_proposal/code/hippynn/examples/convert_ani2x.py",3626,"603ddb61f241ab2dd9c596dc34c0939a29c449ba88c029afad5d39cede63c2c2"],["workdir_outside_proposal/code/hippynn/examples/convert_matPES.py",5014,"344c69f1a1af440cb9a982536ea941283c80da434aeb6c00ce577f281547d547"],["workdir_outside_proposal/code/hippynn/examples/ensembling_models.py",2093,"78b26d38184f7b5dce67cd194157dc90138b07084174b02d33f42038a1a9bedf"],["workdir_outside_proposal/code/hippynn/examples/excited_states_azomethane.py",7425,"97a54f602929ff61b7553bf408575fda2413871bdf0db1b3cf81886ba68220f4"],["workdir_outside_proposal/code/hippynn/examples/feature_extraction.py",3304,"4302698b2b8b8c1267cee361036ac39e363d08b312abf11635b81fdcc87e30c8"],["workdir_outside_proposal/code/hippynn/examples/graph_exploration.ipynb",341582,"c0037351ea3a6917b7d92a54a1085466b0fcc3444a6aabddd34e8f728912c665"],["workdir_outside_proposal/code/hippynn/examples/hessian_training.py",8064,"146f9ce7b350e11cc5f11ae869a65a61bf98273e0a9e796626b15e252e83e79b"],["workdir_outside_proposal/code/hippynn/examples/hyperparameter_optimization/QM7_ax_example.py",7062,"8a30d207a31050a1bff85ee6a588f502d3be8afd8e7dd6a75ad9ca213ad94b77"],["workdir_outside_proposal/code/hippynn/examples/hyperparameter_optimization/ax_opt.py",3821,"15c420ba3a7fd206fcdc2369979e9600d4e759797af1447ccbd3e8d76fc5fb79"],["workdir_outside_proposal/code/hippynn/examples/hyperparameter_optimization/ax_opt_ray.py",7336,"85f6384a38cb22a95a262bf0b4b27e5fedaeba26c8be478a831c552179ff2c18"],["workdir_outside_proposal/code/hippynn/examples/hyperparameter_optimization/prameters.json",499,"d89b41a4b4a436d2d26cc6b9a42eb3eb441c6bb5cf8b8054eba5b47c764eed2b"],["workdir_outside_proposal/code/hippynn/examples/hyperparameter_optimization_with_ray_and_hyperopt.py",9569,"84d29d3f979ddadeac6815fe57ed849b5fdac9c9cde07e59b7f0737e42355d56"],["workdir_outside_proposal/code/hippynn/examples/knowledge_distillation_aluminum/gen_AE.py",4110,"92b2c0ddfce534d8e2db092da864a839f1e48ca181aec229cc602a11552b60ee"],["workdir_outside_proposal/code/hippynn/examples/knowledge_distillation_aluminum/student_aluminum.py",5867,"63c9ba9ede79021677ff8bc78eceff4cd1efc26f93e95298e51a83302dc83e8e"],["workdir_outside_proposal/code/hippynn/examples/lammps/hippynn_lammps_example.ipynb",74989,"f542ccee0a2c61669150644045135f88e8490107549cc940ba57d93bfc48fee2"],["workdir_outside_proposal/code/hippynn/examples/lammps/in.mliap.unified.hippynn.Al",1146,"7abd6e6d1650ead345c85fb22a25caa98e5613dfd171853b0313418d5e9a39ae"],["workdir_outside_proposal/code/hippynn/examples/lammps/in.mliap.unified.hippynn.Al.ghostneigh",1335,"2b146e0693e68a383d9684fba02c8dfa5bec5449a911cc5ea4b434fa5d4cdf44"],["workdir_outside_proposal/code/hippynn/examples/lammps/in.mliap.unified.hippynn.InP",1046,"f1f3f347a981bcd2c24bb3c039f1b45caded1028faba164f20fc8896724ba087"],["workdir_outside_proposal/code/hippynn/examples/lammps/pickle_mliap_unified_hippynn_Al.py",798,"48f160a5dae917ecfd1bc374a70e71ecc458f5a455916cc1017dc5db4b275325"],["workdir_outside_proposal/code/hippynn/examples/lammps/pickle_mliap_unified_hippynn_Al_multilayer.py",831,"623d6a180cf9b609b89c28e53d0be13c8da49bd7ed4189885d5eb8cd90939ed8"],["workdir_outside_proposal/code/hippynn/examples/lammps/pickle_mliap_unified_hippynn_InP.py",801,"7e27347cffc7eb8a9f2e1070cd5a8e8998240f8984050eb96751de16c3164c56"],["workdir_outside_proposal/code/hippynn/examples/lightning_examples/.gitignore",34,"6c4d2753b1cc10838ee23f81ca5b557895778979ddcf5df351704cc5d2e6f6aa"],["workdir_outside_proposal/code/hippynn/examples/lightning_examples/ani1x_lightning_by_ranks.py",15197,"e5bb7fe4fbba46747b059327da836babbcb02ab3adecb9eda5c863ef55c5906e"],["workdir_outside_proposal/code/hippynn/examples/lightning_examples/barebones_lightning.py",4263,"824d814973e47872a41b655b7bdae5bd66948ffe5d57f4eb275ce818b3b5e457"],["workdir_outside_proposal/code/hippynn/examples/lightning_examples/job_ani1x.sh",256,"0f0472e7982a3717750118e7f2fa4b932bfe82a907a541faa0903f5f6542e717"],["workdir_outside_proposal/code/hippynn/examples/lightning_examples/split_ani1x.py",7240,"d938afbae9aef786f725a6442a284f27f03a17c57363dca99a8da665717c1ce4"],["workdir_outside_proposal/code/hippynn/examples/matPES_training.py",11954,"adcdb11adc2e00c380a646a636e8f10c1c1cf6864af53ba57fa8876e28f6bfb9"],["workdir_outside_proposal/code/hippynn/examples/methane_configurations.py",9803,"78a3fcea0a691f489bdbf95dee4b9d5593943430862edf966f95387fa6227645"],["workdir_outside_proposal/code/hippynn/examples/molecular_dynamics.py",6004,"11a759b14a88797a431932d13b64f3cc4079c9de9cca3289a7b89c513d2e5235"],["workdir_outside_proposal/code/hippynn/examples/multifidelity_ani1x_training.py",15931,"6a103847143347f13eb3dc0fc34e5e74cdcfaa954d2f487651252d61381d974a"],["workdir_outside_proposal/code/hippynn/examples/neighbor_speed_check.py",2708,"f60f3924a03eb9c98561e1323f9cc306c514bea566229d81e9b88e1f83250586"],["workdir_outside_proposal/code/hippynn/examples/periodic_pairfinding.py",1338,"47c35731580c47bd64c4ef4bcd41a188eeb666bc0819235301d11a3e62ffb351"],["workdir_outside_proposal/code/hippynn/examples/post-training_load_eval_plot.py",2799,"857342a5684a719fc61a56f535f30bf52283c2072157e73a0b6dd0d67d951e58"],["workdir_outside_proposal/code/hippynn/examples/process_QM7_data.py",1321,"c18c187c7eb465a4a2e1a92543f2848a657ee78eda0798710998e40bf1da1f5e"],["workdir_outside_proposal/code/hippynn/examples/pyseqm/md_test.py",3808,"5a63e98144cc3dad0b39fa82d84606712092e37950e10b96cb93b8a2f063a3dc"],["workdir_outside_proposal/code/hippynn/examples/pyseqm/test.py",11205,"6327027feeda0b8ea1ba3e2e6d1d3a4235e84608c4472dc0c3feb59f8fd78bf6"],["workdir_outside_proposal/code/hippynn/examples/pyseqm/test_case1.py",10663,"932eed52dc9249b7e1c68a02394a9508fb904d01ecc172cbcd6a8df96777c569"],["workdir_outside_proposal/code/hippynn/examples/pyseqm/test_case2.py",10849,"e02457affe1540ee3fa5116869ef35274569358bb844825f21eb4762eb608908"],["workdir_outside_proposal/code/hippynn/examples/singlet_triplet_model.py",8649,"b3771c78a8fbb0a9a8ca85fec3dabe49b4f1b93a778c4df5a97c430243cea72f"],["workdir_outside_proposal/code/hippynn/hippynn/__init__.py",2544,"d0e962ad22b39579088042e212959d64ccdf5065613a76d1d9f186a2a755e31e"],["workdir_outside_proposal/code/hippynn/hippynn/_deprecations.py",6032,"e9092a5f20168d7065fcbdde8fc2d33f939819fb707168fe99e8d6a73b441f0c"],["workdir_outside_proposal/code/hippynn/hippynn/_settings_setup.py",7373,"7a45339a1ef361457de5acc51f3694076e0a85c7833ce2b829292c9ee2bae2b0"],["workdir_outside_proposal/code/hippynn/hippynn/_version.py",24512,"4847f19c9775f6e6d933edf2a71ded16b03a5d3f967c097afd9354ae23ea0b44"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/__init__.py",8049,"4fc136284b392b652ff8321ba70602bc6de096a53d6ae8502a4ca60867fd29cf"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/autograd_wrapper.py",4971,"843b37db814afa049226e4f4a51509bfc5edca2e105fc62f918d7510e30a3ddf"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/env_atomic.py",6365,"a192c1746b1d76ff58ce60dcc7468c5ebbad406ca08aae9d127d277511bc140d"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/env_cupy.py",8689,"2604acb067e88d5ca0fc65bac5913b6636505a4f056a285c4593ba9b79338988"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/env_numba.py",11217,"517c90b07e2be1a4191602d08f968ad003c9df225c7434c8175b8e5d160a5b34"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/env_pytorch.py",7961,"8090f74d14286dfb29a17c5c5929fbd27e3560f620acf1a6287e7cbaa7cf2b76"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/env_sparse.py",4317,"951858fa0640ae75acf4f01577f2ba1b21f59471a0d86106c6bf3b909e1f38d9"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/env_triton.py",13847,"22b9fc6c1372dcd8e9ddc3963c66ce5d7c77dbbb29e58938447a6d069c0a803b"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/fast_convert.py",2512,"2a784224301775dfb1f09aa282118fe0fbbc57e750bccbbfff7f5e22739bd7c9"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/registry.py",3046,"d84695c777e9ce46a6cfffb034247958a4a5d66cae381a816453b4d60213c55b"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/tensor_wrapper.py",2822,"a3ea8e9a15dbc1adf9876d9e1146e45796edbe61a122fe76af3dd53c4e71991e"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/test_env.py",25385,"541705398541bb9f629777c156aed2c610a4a0b777dc1c12ed09736c7cb7ca04"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/test_speed_env.py",4009,"d1b2ff50b049f1d2f0f666ee077c504ee55d803a506db60d0a5b6032f330070e"],["workdir_outside_proposal/code/hippynn/hippynn/custom_kernels/utils.py",4750,"00f292208ca878bd670056bf05bfaed1a5c001c1b667bcf3b917b562a4441cf3"],["workdir_outside_proposal/code/hippynn/hippynn/databases/SNAPJson.py",4700,"7a3d2293da64205bf9c97848bd568b9c991bdb3a835e5699ba6d306d59b63982"],["workdir_outside_proposal/code/hippynn/hippynn/databases/__init__.py",1026,"803d6bec8dd3725275258777c93d7e371353b016b1bae656e34028ccd52e8bf4"],["workdir_outside_proposal/code/hippynn/hippynn/databases/_ani_reader.py",4164,"4f7d079d1dba7a8295ff43dea64465fe44fe85a5c1faaa1a69e171cfbfd47ad1"],["workdir_outside_proposal/code/hippynn/hippynn/databases/database.py",34862,"1098bab4d8cac2c487f27e448edbc2329a1ed2395044d2fd0e4f1d3efdad2b2b"],["workdir_outside_proposal/code/hippynn/hippynn/databases/h5_pyanitools.py",15306,"b12a375a694ef8a02029ebd0a6f483b6753fc958b01feaa1e772b1c5a37b2591"],["workdir_outside_proposal/code/hippynn/hippynn/databases/ondisk.py",4666,"5abbbd15387aa1593d7bb5a9139de3cdd1a935654d9fa82dfad85b043e960714"],["workdir_outside_proposal/code/hippynn/hippynn/databases/restarter.py",2255,"7953046bab9744cf647513fba5212f5e74763a74b304c1c05800b3426ef8f4ac"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/__init__.py",788,"81af2e3cae667ccb7b967c5ac0032b65de501620238b937b1cd8dec34f9902ed"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/assembly.py",10632,"fd842be3c7580fe42e2531785a8b5af35df1435437ff6b46d9da71021e56fe3b"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/controllers.py",9192,"20a2880decc17f4c66bfc3adeeb176d56c69f3fa9dc3276fbd2faf07f92ca7a5"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/device.py",1800,"71b75d5e1dc49e0a4f2e8d22b984726bece636e00b6b8e9cbc5f2a8ec8302ef8"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/evaluator.py",3602,"40a924be49c13a4758a019b0828c8b9ec7b434d48ff450e05096db4239dd1659"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/lightning_trainer.py",16337,"313996b4b29ca9e5c487f824d4d96cf994a796667d3f4ecdc5bae4b912caba57"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/metric_tracker.py",7201,"eb3a2f8f3a30a448668516cc037ba9eb733ae5122e4b99047e6939b7015d8096"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/routines.py",25744,"1ee0c1dc75219482066c825884d53b898509ff199cc2bb6d6d4d345ac942f74c"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/serialization.py",9430,"1384a808a9ea7ae9a24164d1ebf117ceb97e6f87066ee8eec93cdf02013cd7dd"],["workdir_outside_proposal/code/hippynn/hippynn/experiment/step_functions.py",3005,"4f0734bff687a19011399986ff9346590a399289dd3065cdf387a12698a27040"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/__init__.py",1421,"ee1c33000283d2c7c39e97600a4b3ef0c38b3577ca013f7f86740a8bb86a6f70"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/ensemble.py",13412,"65647ce9e31b37629916d24f132c5f4df2bba1ea9185efee441cf043ddc274c2"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/gops.py",20722,"67d99926ead544b365b87dffd6ae6113dd8a25e92030e9e73f588dd4aab3106a"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/graph.py",8709,"8dded75f7d64e67254331c498fc9241fb9f2ccf56a52f8b25f75c934e35140f6"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextransformers/__init__.py",116,"905f15b9f477000bc77d03c12b4712d06cf292484ca259ad89623e779e113c97"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextransformers/atoms.py",3305,"777d23d76e83bde09586e26243ec8e0c354afaa45dd34097633c1feafc308dec"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextransformers/pairs.py",4438,"3695a7bcf21f5e062b7cf8afcf5bc7f1b66c2cc784d06d96247903ba84737999"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextransformers/tensors.py",326,"5f43350168bf6460b38e52c813613c6a2376015686dfa23fe95816a636963ee8"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextypes/__init__.py",955,"40e9cb006fc1955f4014dd7861d8e6f2f99f9cb5d3a0bdeb3606adf372e3922d"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextypes/reduce_funcs.py",5851,"3ec4e50e7bba68312ca0aade221646acb5a1efe027becf6cdc9e7291cf3219b0"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextypes/registry.py",8115,"94a60b18f5624db4d0ef355a80506801f90d0cfab398383eb7bc4cc8f81a2db2"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/indextypes/type_def.py",1290,"c41152ee4e4cd92feb8b0fcf59c4cf5ec777026341b4a042865281b025b4e774"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/__init__.py",423,"aba1d20c69596dafdd4b4903b6522969a0f6fedc17432ddc44f2f8224661d89d"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/_option.py",4257,"8232364b89cd54f11c74aa902856605c5401323327c5098e0592131a0c927b94"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/base/__init__.py",1777,"14e19d9eb69b97bd810a3c048fd71617a85cc1b624aa7236280e62bf41f6f7e3"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/base/algebra.py",3665,"51b25ce608e41519cbb298b0c5845f19a8bf34a01e727cd5c310d48978248220"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/base/base.py",5500,"d556a44bab09026d6b8ab2fda037c6ebda9185e8e25879b61da5a294f8d352bd"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/base/definition_helpers.py",19536,"f6dc201053e33cd3b00eeb067f316159fced9688ccdb23358f93d2dd90cf63e8"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/base/multi.py",4146,"d8ef882cc8b811fbbe4ba5ba17c9fc2448e9058b8149e04285c50ab8d3e047ec"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/base/node_functions.py",12707,"cf8aa5679d171d5e62c9a15117b728009d3fe0fd37732501574db3b6dc43d163"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/excited.py",5978,"bbc26516764258e4342f99acba706ec94cab283264dd2922a683e9c145b79d3d"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/indexers.py",9374,"196698dced673ba5b023c8cbdeec4c5aa908d97abdf4e6c6baba667f9481f818"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/inputs.py",1147,"a53047373a552f8f52c40af0570e7ddc5edd77a6e27f0e53c59478358727a5d9"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/loss.py",5933,"93770481f969b85fd9f4217f0b6c011fc825cf53ff674b2338d053bd2084dc9b"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/misc.py",1808,"9907ab4b30083a0bca78ca0c5c084a6ba6a3e3e6790e906654e2d602d3c64737"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/networks.py",5754,"474ff5725b25d97b6f974442a9ba72bea715c1451076c5cf735ad58ffad98765"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/pairs.py",20323,"f6bb265fef91f296f7b90e82dc35d672092ff74ab688b3b5eace10ca4ef3fb32"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/physics/__init__.py",491,"38df2977a35c36432c787c476b41562d5488c7f67d5f8e29c9604db0e1b2e602"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/physics/charges.py",1874,"091533bf62d37bf940ed4315a445bbba02d14078819f390d77129836421cdfd9"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/physics/coulomb.py",9582,"a5b0f8b4f3c618e0e364c825cd86018d8598b93de35adf3564c68e62866a3bc6"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/physics/derivatives.py",12346,"01453701a077f19cfc999783397dc7482501d95e557f1c5d8e4124d8aa3d01c1"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/physics/transforms.py",6082,"5bb94df895a7c4bb0f2183fe5fe66888a664ce3e5d2ac8c056a477b115e8fcf2"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/tags.py",648,"eede244b8b4f6664f42c28fdbe20717c4e7ecd346f6ef1bf3e1920ae32ab58ec"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/nodes/targets.py",10053,"59f0167af25fb3a4231db6a9d57c2b47ddc29b413426f547966836dfbc98e30d"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/predictor.py",7901,"789182ec623ed797922a466c8364d90df751288f112ca010267589f5fb9ab9d8"],["workdir_outside_proposal/code/hippynn/hippynn/graphs/viz.py",3808,"350a8501962867469693618b89959f804b04295258b4ae953bcfabf7c22bfbae"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/__init__.py",291,"b0c03d73ca6f0d6484dc5383f56ecd87a96de88cbe9fc988fe249a8161549da6"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/ase_interface/__init__.py",330,"240e2467039ea3d9898e6d083ba633be02596d9a5e24a442f435ebf58eaa72b1"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/ase_interface/ase_database.py",8524,"08a32924dd4141b1fca6e093f895f044edbe4112b62e02f317d51751c1aa5d84"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/ase_interface/ase_unittests.py",5947,"12aab67dbfe8df293027b89c2f05656ec1be1a7d6a0119caffc02cea40609360"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/ase_interface/calculator.py",17978,"fe09c5ee9938a9091502cf502ccc3cd50a3ec46f1bfa0765dcd1681866e32cd0"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/ase_interface/pairfinder.py",1245,"186915adb3cfe4b6583c45bb22c9367652f6c4fe7f9ec9a6f6c0fc8b2ff91a4a"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/lammps_interface/__init__.py",84,"79aa4445f6fa622742c77b6bdf9086bdc3005775701140e75a278fb71edb44cf"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/lammps_interface/graph_setup.py",6150,"615bcc51a9001e0339c2fb0d983698d743b44fc2586855e0e956fad03d0df439"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/lammps_interface/mliap_interface.py",11021,"a8313ff7c775d3be2e397fc56cf0d62783b6b52e8bc0f37de1b64afb118bf5a5"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/__init__.py",88,"f1d3d0f5d8bee0bf15b305f9fd3ede1a5497aa312d670d531a2dc353b33ae89d"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/callback.py",3775,"fd6756e633245f678a34fc06dd4e6168154435a142d92b73f25ca69af53ab898"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/check.py",1208,"a47a5f54944dcb7075e569dd0db25397fb1b2f467bf56d5eb4995b754b3edefd"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/gen_par.py",2661,"4cba7c485514e97ef1b76ea7fb464e8e8a4b4fce9da5f179f056f1e9c15ea139"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/mlseqm.py",4173,"df52265cf9e0ec7265eabebee8c6379ce94db659329d5ca3edaadb1f39e5e7b8"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/seqm_modules.py",11160,"e46d2d8e1cd7500e63ee1065653ef5c78d27fef5ae6fd8b5d9085b4dc179b25c"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/seqm_nodes.py",5886,"06ac2995bf6364df36faba170d64fca7f332ee1e47fa0ab503603f9d81e0765e"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/pyseqm_interface/seqm_one.py",6548,"3cf819f9feab23891b43e635e1179e3cac0fb59041a3b01e7acb7c26ceba65ff"],["workdir_outside_proposal/code/hippynn/hippynn/interfaces/schnetpack_interface/__init__.py",3049,"74f4226dd61d5538179b024c79918cbba5066bdb18c5a62252b0c1b14e8a5ca0"],["workdir_outside_proposal/code/hippynn/hippynn/layers/__init__.py",205,"09703e5cc02861420f7bc2a00c470d467ea44c3718631658d364ba342f1507a5"],["workdir_outside_proposal/code/hippynn/hippynn/layers/algebra.py",2566,"025a05a8583f6398ee5afd75b3cb4a89a0205c5be1fb6109f9de59252a457928"],["workdir_outside_proposal/code/hippynn/hippynn/layers/excited.py",5177,"0ee9d6894eb567fc4648c18efd7bf6698e22adec237a5366d97110f2ac721b33"],["workdir_outside_proposal/code/hippynn/hippynn/layers/hiplayers/__init__.py",246,"4867d8604869f67ae5b8209e360f50faee3ef5f26743bb0d5704af2f015e2af0"],["workdir_outside_proposal/code/hippynn/hippynn/layers/hiplayers/interactions.py",16490,"c038c9facb39e61310f0f2106f1499eb4e64033c37934774d13225705254da0c"],["workdir_outside_proposal/code/hippynn/hippynn/layers/hiplayers/sensitivity.py",4811,"af1f1f8e2458d21f994c590c66898f4b14b4d6e70eaca0bc1bae745e5300fe71"],["workdir_outside_proposal/code/hippynn/hippynn/layers/hiplayers/tensors.py",12380,"461e4c626afcf70ea5d777470e4ff98cc047889e426fdb591ffe921920c9e190"],["workdir_outside_proposal/code/hippynn/hippynn/layers/indexers.py",10512,"75c50053794aea4303e2097cf53a3ec3eff0e2b0c8d4b6b1a6ce4e8890821d44"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/__init__.py",616,"4cb3d14358ab67c29266082b5ec9ff174717d221973a0960a02625563e811cf4"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/analysis.py",3279,"e32f457c58b7ba39eaaaa2def26d13f82b656544051d844b64ec1dba1cc938cd"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/csr_pairs/__init__.py",47,"e87cb9daea8f1a864ade83af567ef897c128e336c6abd2b7d342549374ae1c86"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/csr_pairs/csrtable.py",26976,"7d72b8511cefd0fe9a7a3b705e4c4b1fca8003503eecfd01d63d58b8c301dd7f"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/csr_pairs/neighbor_algorithm.py",34498,"4c5b592a0b91cfd22a3c3250eee91e080881f3d4a0c0f40b34afdf89d7abe021"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/dispatch.py",14792,"eca5990da35ddc767aede99d2428db8d341e3b2fe872bd2ef387286be7e1a1f0"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/filters.py",569,"2bd64adbf8ec1f44982c661621095538953812bde3ca282f95b7ae215a459b7d"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/indexing.py",8142,"776fdaa1324221b766bb7c9a1dfcda6c37b65b4f6b6bb4b243caf44e124a479a"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/open.py",5669,"86b316ec37206cc3522636fd70ab2b109293382180e9e2c354d4d81a157eae79"],["workdir_outside_proposal/code/hippynn/hippynn/layers/pairs/periodic.py",18765,"3d585cf84d5f6094879d239b29866694343e77e737342e4bd0539d36646f2442"],["workdir_outside_proposal/code/hippynn/hippynn/layers/physics/__init__.py",361,"9f0f49e98817d084898db044d4eb3ed6da10eb2bbb464b5e254bcf6c1d0cc631"],["workdir_outside_proposal/code/hippynn/hippynn/layers/physics/charges.py",1673,"9946a2e8731260a823e3ea15fefc7c82d85b52875c0f389b98824d3dd6fed959"],["workdir_outside_proposal/code/hippynn/hippynn/layers/physics/cheq.py",13,"b91a3bc5e2064d025a8ae122555c96948ec5b4895d53d809c4b66b71a4915133"],["workdir_outside_proposal/code/hippynn/hippynn/layers/physics/coulomb.py",15106,"b92a1f22a751a5b7562e9f5b14dfc207ad85cddab1d9026f2fa194026e6d2f07"],["workdir_outside_proposal/code/hippynn/hippynn/layers/physics/derivatives.py",7419,"8deef8223ad898adac67069fdde0068547c0755ab226ed4d5829314998fdacf4"],["workdir_outside_proposal/code/hippynn/hippynn/layers/physics/transforms.py",1236,"c6e267157a7ab57f0bbf6a41ce536baa520fa2e9eb31805b28717a58c25c1127"],["workdir_outside_proposal/code/hippynn/hippynn/layers/regularization.py",555,"aedb55cf7f9ecdeca88514af2783b29988ba5af06cfe4fbd65bfbd7c4dc239d2"],["workdir_outside_proposal/code/hippynn/hippynn/layers/targets.py",11777,"60368243d3dcba10a8e698a76cbf128bc73f9cc7309613ff239d7903f2c114fd"],["workdir_outside_proposal/code/hippynn/hippynn/layers/transform.py",1813,"f17c79f442d37918831875ceee3b1af2fc93604409519e2c8509d733b289feeb"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/__init__.py",1433,"ee3e3d147a3b0846683b9e8f319e819ab1b93f60b54e9f50f669c81c5d45b6fd"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/box_volume_calculator.py",2106,"9c0ebaa532105de0cf7c1b5d10293525748c4183b121325d185b10d9a7ca9cd4"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/coarse_grain.py",7577,"edcd77d54989e13758f995949aa65c03191e63342f989c5702f6f3b2d7933eed"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/md.py",23880,"10f2eaf109de447173c02fed1ba7b4cfe7fce934d83d8cc027e7409ba7b79fce"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/misc.py",721,"02f88dd27b568d75a77799cda1bd92c8291b48bf0724d33dbe3e0fcfb761ba15"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/pbc_tools.py",2148,"e9034b6615b7ac56d4a35b7ebd052868bef00705be294f8212d8fb9004203cbf"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/rdf.py",13391,"28b34d53b9bae8213059f3fe1cfabc9354971af2da322d42ea450a07ebf24589"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/readers.py",5656,"75c9e2a26c5230f868d096bfe27c684959b63ec7efbf34ff0b909ec5b94c4a40"],["workdir_outside_proposal/code/hippynn/hippynn/molecular_dynamics/writers.py",3438,"308d0f60e79e165ed0039cca1e928d1b99f6cd8fe3ebde13aa95aaa488f1d24a"],["workdir_outside_proposal/code/hippynn/hippynn/networks/__init__.py",93,"0e3360020324b7568e124c0c73d62bfceed7f3c73bafbe2b849f9dac9549d6ff"],["workdir_outside_proposal/code/hippynn/hippynn/networks/hiphop.py",1967,"05c1a02e4125ad8ef7c1f7c84d299d439d76d52552fcef95a2ef582b3742d192"],["workdir_outside_proposal/code/hippynn/hippynn/networks/hipnn.py",10354,"994ab80765df0cbc6182ab68c2e9e9bd848c6cccc7a9595cc568ed619d3f5786"],["workdir_outside_proposal/code/hippynn/hippynn/optimizer/__init__.py",324,"dbb304f49bf1ba890a80a304e7a49af8a372b79a3367e7b12a337fe33746a4eb"],["workdir_outside_proposal/code/hippynn/hippynn/optimizer/algorithms.py",18669,"a3134f57ba6bac8a20499663d67737889551db5f296566df85658cebe0f6bd9e"],["workdir_outside_proposal/code/hippynn/hippynn/optimizer/batch_optimizer.py",4959,"43498137c20788b54bb2eed7a25136738b4cfc602d690079f5efaa0d55cda0be"],["workdir_outside_proposal/code/hippynn/hippynn/optimizer/utils.py",1433,"0a3bfdef91b647f8bd4994d286f880c60ca176e099cc84b31f3d2b04d7fc7bb3"],["workdir_outside_proposal/code/hippynn/hippynn/plotting/__init__.py",374,"1174174f883086108b82355a4cbe04499d76d140b066e4f324914b8eff939058"],["workdir_outside_proposal/code/hippynn/hippynn/plotting/plotmaker.py",3441,"c85bb6234dfa6cdca824bfa2e434e1c6020dc682ccbbf031d712161bfcc16af3"],["workdir_outside_proposal/code/hippynn/hippynn/plotting/plotters.py",6019,"254d5f4d01116d70d1cb3ca176e4bbe3a562945d50e9402ad17c78090a8c6d5a"],["workdir_outside_proposal/code/hippynn/hippynn/plotting/timeplots.py",3055,"4f241e6ac5d90c3929fcb756550512cdfa12c08261596e617a5aad4c81cdd0ac"],["workdir_outside_proposal/code/hippynn/hippynn/pretraining.py",10527,"ed34fe6a3a3ff46c4d24e98663602f9298dbdf9da7e84d4e6426a8aa7f9123c7"],["workdir_outside_proposal/code/hippynn/hippynn/tools.py",9349,"6973afec0758e9914c5b44c8b31656a40dd5e6634137f9f5a079e7ebd164e7f0"],["workdir_outside_proposal/code/hippynn/pyproject.toml",1142,"30a6ebb8d90bd0ea5d96ecf9d9e418c6e1d562e03b303b7aa5b9d27c38f7cef9"],["workdir_outside_proposal/code/hippynn/requirements.txt",18,"2ee46b1ea991a8c25b3daad96f19125adf54ed7b495fce0d04d6e64b948ab33d"],["workdir_outside_proposal/code/hippynn/setup.cfg",324,"a72e000e0adf836632da7bf0afeb38946bfed596842d7ed3128c8b3859d84e5a"],["workdir_outside_proposal/code/hippynn/setup.py",175,"75b18f2d7ec9f1a694b768fde8862e51e47309ee622e1fb0f5806e68895eca4b"],["workdir_outside_proposal/code/hippynn/tests/atomization_conversion.py",2207,"7296996f9b37705fac99e3c25d541f240ab0b445f9f2fb02568fab92a818839b"],["workdir_outside_proposal/code/hippynn/tests/conftest.py",2462,"70020dcf3c94636490642a2522a527a2cee61037c7bf346f6f512059256bd097"],["workdir_outside_proposal/code/hippynn/tests/database_loading.py",1812,"85da613154cf7911f7cf532eeefad54bbc371dd2238d122ea61ae4b686c6b075"],["workdir_outside_proposal/code/hippynn/tests/dataset_writing.py",3669,"949d88897fe97cfcde3b91a1cb03498d75952dfbcad959e96c4bdc91fde82be0"],["workdir_outside_proposal/code/hippynn/tests/lightning_QM7_test.py",7475,"9613a4c44a98dfa999559c30fb56d18adf13a67f774fd67f1179acbb194d8426"],["workdir_outside_proposal/code/hippynn/tests/optimizer/__init__.py",821,"7a19b1fb6192b1ecfc3eb3773ddf0a0ea88b391e6ed3c4ce492c0bf853718d40"],["workdir_outside_proposal/code/hippynn/tests/optimizer/test_configs.py",26304,"c4dea509b49f92089209e292306f937911028b66a290889c68a071990bd511ba"],["workdir_outside_proposal/code/hippynn/tests/progress_settings.py",455,"6cc14b6a3cec00f3cd1ff8a498ba6822fdab63011adfb70027db172208e10ba1"],["workdir_outside_proposal/code/hippynn/tests/test_build_graphs.py",3254,"e0901ec4e7dbb57d2bac973dd4dc98a668f81a96de0f5e535ec25be88c2e1761"],["workdir_outside_proposal/code/hippynn/tests/test_build_nodes.py",3238,"85b9e7cc7ea4f810a31c0fa4eec99a38ae292ee5cb7e3680d9539b64209318ff"],["workdir_outside_proposal/code/hippynn/tests/test_csrtable.py",14387,"d882d32c25c159ca6ad2ceebfe2a68d41b2d3ee3713bad753218c6d790c15645"],["workdir_outside_proposal/code/hippynn/tests/test_env_kernels.py",3061,"5f41fd24272e253daa9bba0662116c3085435293cffcec74ab835f292609d7af"],["workdir_outside_proposal/code/hippynn/tests/test_graph_methods.py",1282,"b28fac5ce9bc2bd5bf96b22b32070f053347d5831cb7fcb34b981d132fe1f853"],["workdir_outside_proposal/code/hippynn/tests/test_losses.py",2496,"6877dbb83819d71acf3371ff66c92ac271e3b932281be46ad9c230addc5c30a6"],["workdir_outside_proposal/code/hippynn/tests/test_md.py",12319,"e95ec2f6b4ee965b1aba6cf5ea4a7bc9e803625e6c49e903e06e944f2ecd79e5"],["workdir_outside_proposal/code/hippynn/tests/test_neighbor_impls.py",4327,"9df1e0923dfc47516698e1334f0ba914d0ad6871b93d1530d059a5f78499dab3"],["workdir_outside_proposal/code/hippynn/tests/test_node_classes.py",2657,"207a93c3318fe6f4a5c9234c5eaf85c36cdd309c7a5a1a666b08e254c5940185"],["workdir_outside_proposal/code/hippynn/tests/test_run_nodes.py",3931,"91ac6665b59f0ff63e55f3ec9461ef9f6e6931b3415c23f9c78d655a9b959854"],["workdir_outside_proposal/code/hippynn/tests/test_serialization.py",3055,"fea2cd6cb0ec56c27272590a456b66fbd784946d7dd8ed19d03e1da670defaea"],["workdir_outside_proposal/code/hippynn/tests/test_sparse_neighbors.py",27162,"4c8562f268d9dc2eb6faa29417e6062646ccd400beb0d8e6fbf5d143c3b68436"],["workdir_outside_proposal/code/hippynn/versioneer.py",86677,"f386e78239dd1c6ebaf4ef0853c5866786f5981944006e10578e571164c997c6"],["workdir_outside_proposal/images/image1.jpg",15437,"80f71ac8707a561c8037bffd08b5b7196ac7ebb370f9c83fc567ece8a7406a6e"],["workdir_outside_proposal/images/image2.jpg",8043,"8f82794aa398c63c47e506b27b937774820b53219d9fc3c62a2735c25e56913e"],["workdir_outside_proposal/images/image3.jpg",9234,"e46dc4250a4f13ac174b4dd2de160bdfa9b838586bb23739445e9cba8d84cdc3"],["workdir_outside_proposal/neurips.sty",13462,"0c1ad36961fcd9198dcc2558cf2793e1df39973bde8264fd701f5e7970672757"],["workdir_outside_proposal/paper.pdf",1281689,"87113a9f02493440816159ad487199af8ef18b35e12fb38c8574db2e31ee8e5b"],["proposal/attempts_log.md",9826,"fe36a17715668de1f416e916d95960e672d09c5a886b192884a9fbfe6685441a"],["proposal/code/analysis_config.py",1606,"bbf2dc5761553c02c4fd33c11d760b5dd92790c1ab19824532293b46b013ac99"],["proposal/code/analysis_util.py",4184,"7af7a83e1847f7a8fbf5b6a1e506fb162767ceabbab9e2a875da23b41019668c"],["proposal/code/calibrate.py",9181,"8debba3b3359979d5581a869e97250b40f3d740c39605f5e1f3fc4c1527a821e"],["proposal/code/eval_lib.py",5199,"4e27f2398c31339089874d35a21e4119ae7595fa894bef69185b5c8a2c53514d"],["proposal/code/evaluate_model.py",4294,"f6a6f9f5ad0f8ab6620c012f8df8dc217a16692971778b4cea286185bacf387d"],["proposal/code/finalize_aux.py",5268,"b80edc7973da14fa47441c1778bdd23b7edb4b7351800aa13e3f41977f0409b2"],["proposal/code/make_figures.py",12684,"43a17352f18e1a4a77b79c919a37c00b126595d1f5fe9edcd8d4573f68a99e30"],["proposal/code/make_numbers.py",11570,"41f04976bdef06e259e7c1a6619fd89b03b25a6246cfe06566df08f311f69dd4"],["proposal/code/make_tables.py",7220,"f34ec5703f2e1fdaada5ecebeec15052a421abde47469703356715bd6ee48ca9"],["proposal/code/motif_library.py",8501,"6532ad9be8ab1cde8104ef678d6800b6c7b1c87d087211202d7ffaea5b4d867e"],["proposal/code/motif_stats.py",10242,"e5493bbc14e3f552283add39cbf18e46ce59958567ec47a489b9f8d1a200fba6"],["proposal/code/motifs.py",10381,"d936f3da77ab346b895530d939d9b09c45303238ec0004f1b35746aa4e33b0c1"],["proposal/code/parse_qm9.py",5462,"16655b7d32ff4afd7b81da6fce03ec9b37f7b4a166c3b37c98da17bd263de285"],["proposal/code/texput.log",746,"877c57e5b35ad0c893ad79d959d53896c232745bdb5861753fc0b7d3aaf14519"],["proposal/code/train_hipnn.py",15684,"2b29db2222e119767fc2d441cfd5ec16beb689850b97ef3092832cec2a724e0d"],["proposal/code/transfer_ani1x.py",10551,"a6af22853d2301e6ad5d8d6b4353070fb72b4c3cb7708802ea528c61ab3df5a9"],["proposal/code/transfer_rmd17.py",3617,"38db09fb53d23d5058d8563c3da144ea64f98fed52db9c13383a793a878ef96c"],["proposal/codebase_notes.md",8166,"f00f3f69fdddc942c2183c3d57bc95a013f70a27be6c4d755af605e6f7795bf8"],["proposal/data/motifs/motif_atoms.npz",634098,"62650e8ea718a677f98d30d8deb0a43abe1f44def1f1fbf017df60e61d8d9c81"],["proposal/data/motifs/motif_flags.parquet",941125,"8019d34158e25729377518a44aac1854a7c14007654bddf5c5013ac92e1055de"],["proposal/data/motifs/motif_prevalence.csv",1795,"d73d6186257b08629679cca04bc64de7e9055a15d72dfd388b67fe79ead91aa0"],["proposal/data/qm9_processed/qm9_arrays.npz",29165072,"60fd2b0e7c1f193ac75b5ce9a3fc1bc5fadb695fcda811fb385bb53c8ba7eb07"],["proposal/data/qm9_processed/qm9_meta.csv",18114148,"4586ca44c4db50b53fa5446bfcd97ce1dea95c8f0b926242c45f707fb86502fc"],["proposal/data/rmd17/rmd17/npz_data/rmd17_benzene.npz",88801794,"6ed30a3ae2f296961dea255d1841737d384019a06322afab0957b2fc33d52402"],["proposal/data/rmd17/rmd17/npz_data/rmd17_malonaldehyde.npz",67201791,"571dca1deeaa5ee55ed14b6828ff8bb938bc9fe662fdd0120a5ce4e009412ccb"],["proposal/data/rmd17/rmd17/npz_data/rmd17_toluene.npz",110401797,"681ed4488fa3f3d1b167699e4ddca1db8930e9cac735aa93d59c874efb360032"],["proposal/data/rmd17/rmd17/npz_data/rmd17_uracil.npz",88801794,"cee14b3443f8ffbc919788a6e9747d5f32036acf68e3852255d447fc6fda19fb"],["proposal/data/rmd17/rmd17/readme.txt",2077,"86477e05f203453d3f574676198a6d52c85569b03674cc32729faa3d82ea9204"],["proposal/figures/fig_calibration.pdf",26188,"c5e58ee54f64f7b4fb388af9648652fc9f23d5114fac5287aa3de7c59c871217"],["proposal/figures/fig_forest.pdf",24513,"de6e4752733abaab0bd4dba3b759bed93e69a2d3417cc17581011194362af154"],["proposal/figures/fig_mechanism.pdf",27492,"b9ac2010f059825b190aadc6045533804a73cfc1073dd2a47cc1702241f225d3"],["proposal/figures/fig_pareto.pdf",16751,"c5fa403ba90398fd353fa05a22fb5d4b4d08a40dc8405036526717198e669554"],["proposal/figures/fig_quantiles.pdf",20825,"b99f5b9a6d6e2e167e95d26055abd95839c7927b53d62d003c9c89313cd5f511"],["proposal/figures/fig_retention.pdf",18725,"d0fe09ff0610ba05c3110183d9e10f9b27798e86a76744a3fa303a4b4ebedc27"],["proposal/figures/fig_transfer.pdf",26398,"2374a900377dde108a464862d463d05ce236177bcde2e8b49913c0addec0ca36"],["proposal/logs/analysis/aux_analysis.json",3637,"e075d66d78e76cc7554ae176582b0479a095bd1b6103680f1d1879dfb3774281"],["proposal/logs/analysis/calibration_main_seed0.json",48366,"b24d34a10524a14e299f87ba34b0b568bbb284acaad621676291f7acb37b024b"],["proposal/logs/analysis/calibration_main_seed1.json",34708,"92849e10f2a98b25e664cc8722c6aec5aac7c6fdefd9040094450ae89cb0e024"],["proposal/logs/analysis/calibration_main_seed2.json",34872,"a599853ed909e069f7aaf672973ba218b28098471030e6f156a9022259c5bfe4"],["proposal/logs/analysis/motif_stats_main_seed0.csv",16745,"04b5e7191aeeb9580eb06af05a6422c3e8ad5e13413680ac8f8b38d35c3fa4f1"],["proposal/logs/analysis/motif_stats_main_seed1.csv",16796,"1a071e62da72cb8c130f801a614b0b1b6276bc53cec037d8dba4bf82c9ff8095"],["proposal/logs/analysis/motif_stats_main_seed2.csv",16793,"b38d0c54fb81e7f22d8ea9ff16a57d7a5185b2afd8b6cf42f21b992c334817b7"],["proposal/logs/analysis/pareto_main_seed0.json",2726,"ae4e558405c43dd515084f08cf62f9e60a7eebcce0edb58ef4e68f31fe6fde71"],["proposal/logs/analysis/pareto_main_seed1.json",2777,"d9555731f5b345ac505322d0fb11189e0095ac70bf2e2f2300d5d7b618ab5635"],["proposal/logs/analysis/pareto_main_seed2.json",2769,"2b438e27252cf2cadca1a0acf2d550d4f43be24285ebecabca7bea5ce0d76695"],["proposal/logs/analysis/transfer_molecules_main_seed0.parquet",162094,"0d67aeeee905c6096ef3f4e09920a55459d54e89032da39221ab54c73601b566"],["proposal/logs/analysis/transfer_rmd17_main_seed0.json",1643,"cf85337cd9208dcc0989b648a50c9723c426220afac2ad2a83e06f11fab66155"],["proposal/logs/analysis/transfer_stats_main_seed0.csv",4056,"22d154225e0de875617ef7efba6ed9763adaa414d97a3fb2e60177385d7d6d07"],["proposal/logs/analysis/transfer_summary_main_seed0.json",359,"01c6d1c16507a55ac5c51b85d16f0972f3144394d43d49d96ed8325dc80745a9"],["proposal/logs/analysis/uncovered_failures_main_seed0.csv",3146,"fd4d96cff910c0e1b3858b5628001b64eb6f1029259f5239b1974642ca62de3f"],["proposal/logs/analysis/uncovered_failures_main_seed1.csv",3166,"be5cd4f659f0d4426fb7e05444232317462fd065b6fd842373079eb939ff6736"],["proposal/logs/analysis/uncovered_failures_main_seed2.csv",3113,"8b5d89ce299fc1f8f915d88c10fb9922a978044e96601207431e8127b3b43745"],["proposal/logs/motifs_compute.log",2619,"eddc3e135a1d58ab2f8862963454269d6b4d39cd0963fc4891f13f988c582800"],["proposal/logs/paper_reference.md",3984,"7f421e343bf0bdd977892521917eb34322dee9f21a29663bc1954e0bab8f7731"],["proposal/logs/parse_qm9.log",558,"0e0d721324ac0c27a612c0064b30a1aed3665ccb71671c8d86175134f47cb3d0"],["proposal/logs/runs/fid50k_seed0/best_checkpoint.pt",4215495,"77452f6fec2387fcbcd884eeef36a63be96311c2025ad6b5db8c83e1c857efbf"],["proposal/logs/runs/fid50k_seed0/best_model.pt",965660,"5903e837449c9d66f2929d04af2818be01f1ffd2de63e9abcf20d0e6f5efe1fd"],["proposal/logs/runs/fid50k_seed0/epoch_metrics.csv",127120,"28ed984235c0971faa52c01810eb6c6bf9cf70ec50e37a121147bd8bedc37171"],["proposal/logs/runs/fid50k_seed0/eval_summary.json",394,"892c79fa2d5f90669dfc90aa07eaee84706bc411d25ee8bc14249230f35782c9"],["proposal/logs/runs/fid50k_seed0/eval_test.parquet",13338300,"6ae462972b44d2aefb8876750184725a738b2cad924a8cfb26cbbeba52ca7afb"],["proposal/logs/runs/fid50k_seed0/experiment_structure.pt",1978355,"bb8347f7477bdde494cce465876c1ddcbfddbb8812863f03afaf02736798d5e7"],["proposal/logs/runs/fid50k_seed0/plots/over_time/L2Reg.pdf",41998,"d1ecf440089b20a54c78b0632a802223480a3d08a392b83259715457964a3ea5"],["proposal/logs/runs/fid50k_seed0/plots/over_time/Loss.pdf",45071,"10d6ad2d600e559343be201cd1bcdfa1829bcbe9d72fe31c5b4adb2d48f8aa4c"],["proposal/logs/runs/fid50k_seed0/plots/over_time/Loss_loglogplot.pdf",63373,"09dfa1139e59f79d4eed1fd7f183bb5fcfedd7c8d3a0a42e10605cedb2abbbbc"],["proposal/logs/runs/fid50k_seed0/plots/over_time/Loss_logplot.pdf",54564,"00038cb62d4587ae388b080aa2c8f47b2b53d0dab03d081a5ae5453a8bbda557"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-Hier.pdf",53892,"15e4acde31aad088cec5a482e1ea336ce8d6beffbd5f00dcf4689e7499f004f9"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-Hier_loglogplot.pdf",63809,"5edbd2fea9dcdfdf954be6c824a60dd8871d6a1cd9de9db8eeeb5e5af7010ba9"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-Hier_logplot.pdf",56009,"8507e681a780c331fc5ffe1a88b99ea4a94e629bfeb92d0228ba2510a9667938"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-MAE.pdf",44392,"fce46d325891ca67e8f18d6933c688739ba848ef07f4df8c53d44295f4a55b8e"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-MAE_loglogplot.pdf",64537,"cc3976828d7b1cec010a01a722598870e5c62b42bdbfb38b67ddaf51704e0a92"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-MAE_logplot.pdf",55925,"855d031278052cc0f0b24e73e38b01d9a57b3689d30ebb488d827a512f5107e7"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-RMSE.pdf",45727,"a232e71b4f6d57f2fe064be5573265c7f311228019c2ac577d59db0442b137f2"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-RMSE_loglogplot.pdf",63447,"bfc0150f2a5e3fe65e523b0155fc85b540a116d64e31d9f6a14063f206711b06"],["proposal/logs/runs/fid50k_seed0/plots/over_time/T-RMSE_logplot.pdf",54707,"bb5c6435287c4b32308cb906d8d736338f014bbc6f09947aef33f4cd614c709a"],["proposal/logs/runs/fid50k_seed0/run_summary.json",1009,"54dad75f5d2e11c8e8aab9e5bdbbdbf157c562327b4575df68048386895fd0ff"],["proposal/logs/runs/fid50k_seed0/split_indices.npz",1047330,"958d2eb82297dd2c9b0283e8eaad3d10330cdeaa7b6da4f4ce6c0ef903ec942f"],["proposal/logs/runs/fid50k_seed0/split_summary.json",382,"f5e0afb2eff9713a2b36d0284f405e6a23e9ee69f033dddcb87e31f1cd625e8b"],["proposal/logs/runs/fid50k_seed0/training_log.txt",579911,"fd105abda6e931c3a8e9479bf450c61cdbf1dd3f9f2a66fe972ef48c95349d94"],["proposal/logs/runs/fid50k_seed0/training_metrics.pkl",2205524,"6896a40ef1c0cd6f67c58d55f3a1614cbe8f765e21330caa94d0196890cfaa5c"],["proposal/logs/runs/fid50k_seed0/training_metrics.pt",1288679,"b9130c023a1240bb546f5bc05af3ddd67dc0cf90abcc597430e77b5ba7d66988"],["proposal/logs/runs/fid50k_seed0_console.log",585781,"9942d4357e2d8235b5743647e429de7cf8cd4b1e280d0d2617063e11539810a0"],["proposal/logs/runs/fid50k_seed1/best_checkpoint.pt",4214407,"ae4842320aea04d71097b4677a52c9a5eb908efaf421e6ce5400d0ba84bed611"],["proposal/logs/runs/fid50k_seed1/best_model.pt",965660,"11d745c423c6e89d90dddccdcafeca07c297e3f6ade67b39da2685572519bc91"],["proposal/logs/runs/fid50k_seed1/epoch_metrics.csv",126574,"f66b2441037fa9a21e25e2f44f3c6b2169d199d096aee8200a554122735d510f"],["proposal/logs/runs/fid50k_seed1/eval_summary.json",392,"767b05054fd7a57b9d753ef2526ffeed5365d580a314cb97d09ecca674a40447"],["proposal/logs/runs/fid50k_seed1/eval_test.parquet",13335995,"922a6e9edf8305b63b8b1bf538ff4e16ec89039d67a10de8b67807f70b4f5f69"],["proposal/logs/runs/fid50k_seed1/experiment_structure.pt",1978355,"fc04bd8381294b91ea1fbfc7e2148f1ef3273e33a59740766525458666ff60e7"],["proposal/logs/runs/fid50k_seed1/plots/over_time/L2Reg.pdf",39689,"bb360e9566d97d546009aa441be72668cd793352518232497ef5c2ab9bc86597"],["proposal/logs/runs/fid50k_seed1/plots/over_time/L2Reg_loglogplot.pdf",50178,"b1ecbd31b798216fcbd404abaa6f4e012c78a1210974e9e33e3ee819c952817e"],["proposal/logs/runs/fid50k_seed1/plots/over_time/L2Reg_logplot.pdf",40011,"98e55df8fc853081431c7d0b18f487df9357951a9b391cae4fc9761821d123de"],["proposal/logs/runs/fid50k_seed1/plots/over_time/Loss.pdf",46863,"3dd61f1d5b0379daf693a2958d6c8c2df76d4047130984053c0ea9cf07e14b3e"],["proposal/logs/runs/fid50k_seed1/plots/over_time/Loss_loglogplot.pdf",63468,"58807e451c2ac39322f2e1dfda9824dbc3fb7fa18626d1af6dcd502d94b19306"],["proposal/logs/runs/fid50k_seed1/plots/over_time/Loss_logplot.pdf",55003,"c5987e6dc0ff2123304496acfc42f746fc20d7366aca7e61835e4d725836f22e"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-Hier.pdf",52794,"a52dfcb4d14e29f0209c1151e0652a935a8c32db8cf6a724c0ae2fd2deae1e60"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-Hier_loglogplot.pdf",63327,"1f9e04f5064983626901390968c4394dadae8ee507eaec34f77be8b39701bf63"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-Hier_logplot.pdf",54936,"d9d0e252a205d74c2fb1d09fee8c3343798f83ab13ac2f6d2d3bed5a6963ccc7"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-MAE.pdf",46913,"6351523357841f5cd02c06e08913c92afd791bb904196ef34e7998f652101830"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-MAE_loglogplot.pdf",63970,"9b9f16e23ac85e6db4bc32026be63328875c84258a0a235f1bebf798b43d68f3"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-MAE_logplot.pdf",55926,"c93f9dbfe81aab87e029333dbd88f1bfb7a5c5449ac4548639fcca26a320d641"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-RMSE.pdf",46844,"b7917e45868322c3b20fbcc4f33059d9a06771a9cf791dc37105a1cecb0b08c0"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-RMSE_loglogplot.pdf",63257,"9b83f8cf8cd4c2d963b5826d921ccd55def9f02e3ecc76375e8506f7716dbf23"],["proposal/logs/runs/fid50k_seed1/plots/over_time/T-RMSE_logplot.pdf",54883,"3c313b0c6c1b8863bd50b09e02747cdc094ca0a51cd5c816d41008bde4795e63"],["proposal/logs/runs/fid50k_seed1/run_summary.json",1013,"f58ff0fe6a6d5bad1ce77df72c2116e4ac300947fda2eaba69e66a042630c714"],["proposal/logs/runs/fid50k_seed1/split_indices.npz",1047330,"d54d48318b63a2795c7130251d5e623228e6f3046b8a8dfc4754ec2c9557c498"],["proposal/logs/runs/fid50k_seed1/split_summary.json",382,"14970bb103669272964d949d321ef7e9d0aec4dcd0b5be22b0b4cc0fd2ef7396"],["proposal/logs/runs/fid50k_seed1/training_log.txt",578855,"fd0c5d062c55f98b452addf03ff9601f2f2620dc8f19d6204917697d7f9ce563"],["proposal/logs/runs/fid50k_seed1/training_metrics.pkl",2204733,"003f6adad04609f8ebe78132d8a694483142f504e29f5e99742f6de273993c37"],["proposal/logs/runs/fid50k_seed1/training_metrics.pt",1287783,"bcccf1f672baff1e2eee2f78b7cb5958aa8115da4e5795444c952fda59255385"],["proposal/logs/runs/fid50k_seed1_console.log",584729,"1c4dfa9df2eb9022bdfd188fed8f2fa6c906fb78d510ba5eeb8a1e6b0a46d7f5"],["proposal/logs/runs/fid50k_seed2/best_checkpoint.pt",4337927,"9c7111dc40a67b653d008b9537753a5e93298e875f680d92de8e7b54835fa444"],["proposal/logs/runs/fid50k_seed2/best_model.pt",965660,"0f4cab5fb2db8de0bfc02a8d5f9d3d9f64d48d68b236b5f8310e800afb3792ad"],["proposal/logs/runs/fid50k_seed2/epoch_metrics.csv",166013,"64dc7c01c504214b30cc7d0061c5847c1dd0510d7eda6742ac70199ba554bddc"],["proposal/logs/runs/fid50k_seed2/eval_summary.json",393,"4bf9f3eb5789a5fced017db0bf15de4cf2d395fddab32e4503fe30bc3ac441f0"],["proposal/logs/runs/fid50k_seed2/eval_test.parquet",13350799,"fff7d19f0ea40e0a503653b1131290e9eef8f438fb577dbd3a2110483114c893"],["proposal/logs/runs/fid50k_seed2/experiment_structure.pt",1978355,"2371c6bfae0e5a5ea9429a80714d078be7559659a18fc6a14909f8a0a30d34a1"],["proposal/logs/runs/fid50k_seed2/plots/over_time/L2Reg.pdf",44359,"a4723785c993055b8af35d6869632bc97de0403c3e6243167b394f734410b6ac"],["proposal/logs/runs/fid50k_seed2/plots/over_time/L2Reg_loglogplot.pdf",60830,"ae1adf11aeae384a00d5d5b0d170d1f83fc3e183d3ebc046f10e3c28ef6f83d5"],["proposal/logs/runs/fid50k_seed2/plots/over_time/L2Reg_logplot.pdf",46671,"2315c08bafb4330304af77422822791057e9b9348b7d6aad5d6e9b18e54383f5"],["proposal/logs/runs/fid50k_seed2/plots/over_time/Loss.pdf",57820,"e662e0e3cad19490c48af66b032bd850e936adf1a565b804fd94fddb1805107d"],["proposal/logs/runs/fid50k_seed2/plots/over_time/Loss_loglogplot.pdf",76106,"6761e4a326272c08712776317b0f51d7f97248db5383c5f68458d0ab7fd50673"],["proposal/logs/runs/fid50k_seed2/plots/over_time/Loss_logplot.pdf",65875,"54d94b07023c027c29a7a189ee4d52ad78f017c587589fee25ee3b124e79f248"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-Hier.pdf",60194,"f1d22fc5d497fa3a5780f7c4504cfee6882745d33afbb9f5ca74e8ff72052f24"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-Hier_loglogplot.pdf",74585,"f834d3602b182388f3f1f797d080ab86cb51e2b42cddfd79c299c12e786cf6fe"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-Hier_logplot.pdf",64288,"fda8ff13a3b31ef217cf8349f5f126bd8cca387e9132251f52df90787d0bedc0"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-MAE.pdf",56406,"d85b148b573f2d3adea5b635704b862c854aeabadbf98c9c55261ad6606aa562"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-MAE_loglogplot.pdf",76802,"8ea26ce45773bee079f4eea8c6364b1b5332e338e7d1f54c46826e62571aacda"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-MAE_logplot.pdf",66625,"9a2b5d0f9c9f0f5f6f059ee22b7f497a6a15e9603a7c8b57e80a080682a478c5"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-RMSE.pdf",57431,"4a63b8d29916f9038643697d717bb3ad6f4b2e2dce976978e117ba3171597ff8"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-RMSE_loglogplot.pdf",75568,"74e75978052723c7632dea534cd01d75068163780aadfd4e645ed5aa8ab3a0a9"],["proposal/logs/runs/fid50k_seed2/plots/over_time/T-RMSE_logplot.pdf",65445,"ee95733b53b14784a4d8f92921b7d6bce857091fcd08cc03a215c2abae2c2e1c"],["proposal/logs/runs/fid50k_seed2/run_summary.json",1016,"e3a63c7ec332b3857e2ea97fd2d20a55e4e027a3ba9964d9b1d7dc9d30c26370"],["proposal/logs/runs/fid50k_seed2/split_indices.npz",1047330,"1bb303c7605211b16c9b2214d1f71c4be9131289f62b2805ee788ec8c92b5030"],["proposal/logs/runs/fid50k_seed2/split_summary.json",381,"36c62152d77af4420caf03c3673324a627e820e69767f0945511e05edcc1334d"],["proposal/logs/runs/fid50k_seed2/training_log.txt",754763,"f160e609640da67f47986cc674b3b0b5c618040a4415f06f7b975d66d119611d"],["proposal/logs/runs/fid50k_seed2/training_metrics.pkl",2295060,"a3fdebb49eb1c828a7512008b000bde35bfc9dcdac55705f44d125b9d97f22f0"],["proposal/logs/runs/fid50k_seed2/training_metrics.pt",1386407,"1d6e6d7881488aeab83d22e9c068178503435f1ce11c87e640c4902c5ce23888"],["proposal/logs/runs/fid50k_seed2_console.log",760639,"483b2a1bb03891c32c84cc4760ed82f68bd9d2b6653bcf997eb62375fc3f396c"],["proposal/logs/runs/main_seed0/best_checkpoint.pt",4276871,"c71710284fc28c95cbd911facfb7c198f486cb7c6900c1f3a3f42013a5095f26"],["proposal/logs/runs/main_seed0/best_model.pt",965660,"02b03cc1db8c7c8a962ba8d1923313f5f9d49984011a38e5851eabdf9e468912"],["proposal/logs/runs/main_seed0/epoch_metrics.csv",146069,"2b83d857f1cd166805a7b441655fed5f376191792f7ca4d56e88079f3c203000"],["proposal/logs/runs/main_seed0/eval_summary.json",757,"0e5498398a51cffa36a5d0f6040b30d685b240e64b72713d5280ed6cb68fe726"],["proposal/logs/runs/main_seed0/eval_test.parquet",17765135,"f32663de231c081a377196cb89b5cadb92421d07c77670605223b70dc5e552a2"],["proposal/logs/runs/main_seed0/eval_test_peratom.npz",33488259,"56b9ce40a55dc0478f661fa0d3680dd52d2e655716421e21e6642db63637157a"],["proposal/logs/runs/main_seed0/eval_valid.parquet",173848,"adca25f65e42ee569dbba5845bad073b3e1590f01b8ece5d818ca7ba5fb105d0"],["proposal/logs/runs/main_seed0/experiment_structure.pt",1978355,"134b4b4878cf67c2eac32befa30c814c47b0a15fb3518d589a999e801e3c3644"],["proposal/logs/runs/main_seed0/plots/over_time/L2Reg.pdf",42678,"ec368174858c778c96e31be97308e891c530acab6e7d117b9b524aba0b79b94e"],["proposal/logs/runs/main_seed0/plots/over_time/L2Reg_loglogplot.pdf",55734,"c99c1ba4e390538bf54e19eb9c132cddc89ce2a7072a9d50c65a9ba7387fa252"],["proposal/logs/runs/main_seed0/plots/over_time/L2Reg_logplot.pdf",44140,"559b9e9c8c8d97a9281eb3d7bb06572d111b3618b5c5e405c6592c7a14bf41a4"],["proposal/logs/runs/main_seed0/plots/over_time/Loss.pdf",52186,"32fc0f06bfb1533af071ce140149fbd7c86608175cd13b00efbd833482d28cd2"],["proposal/logs/runs/main_seed0/plots/over_time/Loss_loglogplot.pdf",69526,"20658a66e1d50e3b368471494924ead77a869df566fede992212cb8ec4a9a2d3"],["proposal/logs/runs/main_seed0/plots/over_time/Loss_logplot.pdf",59381,"4f0c1e05664fe95642acd8e4b49772104e83749b7322ffa0d8d488c020a71b63"],["proposal/logs/runs/main_seed0/plots/over_time/T-Hier.pdf",57770,"3d6895e477c74caf189d7c673d7a0df06bdf99369b57e541e3c884b9f762b2bb"],["proposal/logs/runs/main_seed0/plots/over_time/T-Hier_loglogplot.pdf",69122,"0f2732017d263ab5999bd76b486460f931383873950cabbc6755019f002680af"],["proposal/logs/runs/main_seed0/plots/over_time/T-Hier_logplot.pdf",60233,"5b1973b3b4c9a11d32093c2a5eb58b395ecf6f8f821f876979033f4898a194f7"],["proposal/logs/runs/main_seed0/plots/over_time/T-MAE.pdf",51265,"2de9862114ddcebd37e43b184183ad1be3fe6ab5246a27086fc6f57522654319"],["proposal/logs/runs/main_seed0/plots/over_time/T-MAE_loglogplot.pdf",70430,"4702acefbd9ab969d964008916e27a0df3d132c724db8449670d98a5bf6c01d3"],["proposal/logs/runs/main_seed0/plots/over_time/T-MAE_logplot.pdf",60763,"87b899c4ce9f64260521d2e36104d1ab5a562b061e56b0aeeb15ed2688f25249"],["proposal/logs/runs/main_seed0/plots/over_time/T-RMSE.pdf",52960,"a1607755baa5f31adc4232a0e28fe57555bb6071c4146ff0b7227253df557dfe"],["proposal/logs/runs/main_seed0/plots/over_time/T-RMSE_loglogplot.pdf",70565,"7ff4bbcb18f7819d685308d74048b87416844f34e0e9023ebcdf0c6f6ff3ddc7"],["proposal/logs/runs/main_seed0/plots/over_time/T-RMSE_logplot.pdf",60898,"4b54e0ebd18f0710fd5b942522b818b70f0304e48575b2172247299a970ca807"],["proposal/logs/runs/main_seed0/run_summary.json",1010,"c49b95ee9c17833a1e3fc300d65d35ba226d444827e1e884b02515784016c23f"],["proposal/logs/runs/main_seed0/split_indices.npz",1047330,"6e5fd46fa633eedc0fbb60caf5273c2f5236c4aa39259214ee57a53f91162eda"],["proposal/logs/runs/main_seed0/split_summary.json",325,"475862ac67d08af51d22763bcb1b40daa9272310f40dec4fd7164b57f05987c4"],["proposal/logs/runs/main_seed0/training_log.txt",665344,"8c5f04563339cfb0455532b417886259a020ceb9e6bf773f44f5af34abb453c1"],["proposal/logs/runs/main_seed0/training_metrics.pkl",2250425,"7c814fd0b9b935e7b6928d4ec4a87da60ad85cbe27dca33288023c0d40b93eae"],["proposal/logs/runs/main_seed0/training_metrics.pt",1337639,"ffcf301336eecdc808294663e28dcc143e584490e89f2666ec0b00fc0545faf8"],["proposal/logs/runs/main_seed0_console.log",671158,"ceffc87903480670ddfb4c9d5ca9ff9ac86210890610c0edb516e529e2d26573"],["proposal/logs/runs/main_seed1/best_checkpoint.pt",4207623,"f39ff9fec56de5eb2992562d37840f9f541246bfe51ec0406821d24edcd8eceb"],["proposal/logs/runs/main_seed1/best_model.pt",965660,"131c0f666aabc53d60bc6e587ddb8b1526e5bf9d177c9606bf28ce3a56b51790"],["proposal/logs/runs/main_seed1/epoch_metrics.csv",123954,"9c3f875aded6008be2785c1b702b5c762d80731e5ba310fa25b5fae213ae87ed"],["proposal/logs/runs/main_seed1/eval_summary.json",759,"9d4fc31c596f030752a077778993a36f375fc20970a1191a717254998a662016"],["proposal/logs/runs/main_seed1/eval_test.parquet",17770733,"d8b331d047baf2fcf4b7f11be559ffe7837f7b819bfb1dcdec6a08800590da17"],["proposal/logs/runs/main_seed1/eval_test_peratom.npz",33655435,"5647cbd724b497053636c53a5d558dbcf76b1c29c5b02ef0c7991963c1ce05a9"],["proposal/logs/runs/main_seed1/eval_valid.parquet",173622,"ccb894c3af6d05bfe0f5372d39da4923b3fb753ea815004940bbdd8903afcef2"],["proposal/logs/runs/main_seed1/experiment_structure.pt",1978355,"92852277d0085e44999a17a0f1798a466b9085a8ffecbec6e73b138a89657545"],["proposal/logs/runs/main_seed1/plots/over_time/L2Reg.pdf",40257,"12a0fc0ce1549e5d62b1ca860dac1d592c09b5ab5f47d318e5a2c5834835d63b"],["proposal/logs/runs/main_seed1/plots/over_time/L2Reg_loglogplot.pdf",50877,"d9c31eacd433f0aba8f693470c31f9a97349f429e0a66a3c083f2d850f1285b8"],["proposal/logs/runs/main_seed1/plots/over_time/L2Reg_logplot.pdf",41159,"75206d499ab4a8abb81f08e5c618576dd36cd6d916a288e7103b4a8579799275"],["proposal/logs/runs/main_seed1/plots/over_time/Loss.pdf",47666,"3cb5ab0fd7a11f1312daa19a572da0b20afff3aa8c20f87b521919d231a35042"],["proposal/logs/runs/main_seed1/plots/over_time/Loss_loglogplot.pdf",62590,"77ad29020444924b29cc41dfa34f8d33458d15620ad50ff49e055f0026e3783f"],["proposal/logs/runs/main_seed1/plots/over_time/Loss_logplot.pdf",54118,"af1d86d4d28e7284739a15dd71f0340809a106eb72d4ed5b4bb355631f6b3022"],["proposal/logs/runs/main_seed1/plots/over_time/T-Hier.pdf",51853,"0fef343e4f2b4436ff3964b14843d005c7fde31f0e705bd9ac241104b7e2150a"],["proposal/logs/runs/main_seed1/plots/over_time/T-Hier_loglogplot.pdf",62368,"22f85f4ab5a6a395b138936743783bcf5f2821c5fae2a6673b05380499d971be"],["proposal/logs/runs/main_seed1/plots/over_time/T-Hier_logplot.pdf",53890,"3866292c0f1820208eebb1b40f4c60d7a5489c3fcd0f3104f54a4cf2a8a74e13"],["proposal/logs/runs/main_seed1/plots/over_time/T-MAE.pdf",47368,"12176ee5d73cbcdfa8a2b136651d401e57e1228f1e39023e9c478cab32ab4479"],["proposal/logs/runs/main_seed1/plots/over_time/T-MAE_loglogplot.pdf",63528,"a3846fbd7d9f60bd2cc13f18309ae2e94f15d877911a55e1c846ec9d1106890c"],["proposal/logs/runs/main_seed1/plots/over_time/T-MAE_logplot.pdf",55295,"02afa8691f8d3a918045b5d047e0accef3a7baa7e4693cfecf22bf64880bd48f"],["proposal/logs/runs/main_seed1/plots/over_time/T-RMSE.pdf",47956,"8dea858dbeb482da568ee749fe9b78f25c874687c861cd6bd3c75d6705a5daaa"],["proposal/logs/runs/main_seed1/plots/over_time/T-RMSE_loglogplot.pdf",63601,"7c36a5eb4c07e96b1979e1b8cd75529fd5828560a1c069ba2ac7bad9ba7606b4"],["proposal/logs/runs/main_seed1/plots/over_time/T-RMSE_logplot.pdf",55284,"f96bff0834cb446ddf9021a0205dae8fd57e7fdd878d9faa47949403be8bfdce"],["proposal/logs/runs/main_seed1/run_summary.json",1009,"ef94f8b0ce9e6d9f5d9d22e37d231770e556d8ea0c22694bd23e865311b78ef8"],["proposal/logs/runs/main_seed1/split_indices.npz",1047330,"7b292fc5bb8dd613528e021f98b6ee1f7f1e8d721addefa3b5713249c4efca85"],["proposal/logs/runs/main_seed1/split_summary.json",325,"f970e1e73bac9abcfc1f213c079f6c021fc5d25d4470d7c07b60060ed1d048a4"],["proposal/logs/runs/main_seed1/training_log.txt",566816,"056e124711b6db439591ed343907472b6948c59384a6cf3a9bca6ab367232b19"],["proposal/logs/runs/main_seed1/training_metrics.pkl",2199778,"6f198f3f13e48d0991975c9149e36774335defa8f0a4026553322207bbd634a6"],["proposal/logs/runs/main_seed1/training_metrics.pt",1282407,"f92d81faf8575b298ca48f08805b5992d005fc98bd7e3d04b925a8a3e635d243"],["proposal/logs/runs/main_seed1_console.log",572629,"5be584258366d4330fa6645bf06f0448de579fef70a788c261f4f9e19fe547e5"],["proposal/logs/runs/main_seed2/best_checkpoint.pt",4278279,"e83118fe6816dee54ce9e4b86114397ba7f66ef48887759a7f74ecb0d841a78f"],["proposal/logs/runs/main_seed2/best_model.pt",965660,"f9cc5cafb54f9acee8d7c8b825ff3be8c08d0dc36a3033caafc74e35faaf88b8"],["proposal/logs/runs/main_seed2/epoch_metrics.csv",146528,"1e4b0eab260e9c1301b96f77d5b5b87031cf7bdfa764ee64ff144f59d47ed163"],["proposal/logs/runs/main_seed2/eval_summary.json",758,"d31c9b88f6171b1bd56e11485a2a8c14db4df11a1552e911dcc4ea5ff78cd361"],["proposal/logs/runs/main_seed2/eval_test.parquet",17767872,"609c37fe5844bd2e4ef9b4d531d3d17cbb4c137478bbccc5046d96a96cf8e643"],["proposal/logs/runs/main_seed2/eval_test_peratom.npz",33469346,"1ecbb11763b432baf26e5f96b2d5a7a03ed88014d97710701b19f2c6aa286c47"],["proposal/logs/runs/main_seed2/eval_valid.parquet",173225,"871ea6215115fb8dd9350773c1fd55aea86305fc70d7b0fc4ded8c91400e33f7"],["proposal/logs/runs/main_seed2/experiment_structure.pt",1978355,"53f09bdb841fba7ae177f3605d4112f609e84b7cb01c135afe63ce39bfbe6ef6"],["proposal/logs/runs/main_seed2/plots/over_time/L2Reg.pdf",44212,"a0296101247de412b16184491343d32ddcdf54a8a11947d404183a76cf09273b"],["proposal/logs/runs/main_seed2/plots/over_time/L2Reg_loglogplot.pdf",56644,"c941ac4753b25c3c1b26a9fefc691e8abbf5bbf64a7207613bf8ae3ccaf918ac"],["proposal/logs/runs/main_seed2/plots/over_time/L2Reg_logplot.pdf",45805,"c099a7f08be189c820d83bd70cd00a93f4b1ca5bf1873bf39220e615dda92faf"],["proposal/logs/runs/main_seed2/plots/over_time/Loss.pdf",51697,"01d3e1070bd4d19d6a49cf2576907daae19666481c6b0b1de78528a260821caa"],["proposal/logs/runs/main_seed2/plots/over_time/Loss_loglogplot.pdf",69702,"79b6f458390f8052cf03da956b679e27f6da07ffbe17a79249ee3d5f76926fee"],["proposal/logs/runs/main_seed2/plots/over_time/Loss_logplot.pdf",60109,"fc30bc4c21c450cb301c3845b8bcaf402370dd477261c4940d5c8aa93527b942"],["proposal/logs/runs/main_seed2/plots/over_time/T-Hier.pdf",58448,"36165bc2b436ab2b5f8cf3aa08cbd04cac52cace6b7a0225283fffa8d1c9ba36"],["proposal/logs/runs/main_seed2/plots/over_time/T-Hier_loglogplot.pdf",67145,"2285b8dfeecc43d38aa7383a98fab2d004ed8d131751d78984dfabc88cb07a80"],["proposal/logs/runs/main_seed2/plots/over_time/T-Hier_logplot.pdf",58307,"c0a29dbaa9ccdb2c9be144ba693b15a0c75ea5a75ee01ed0dc1194642215172c"],["proposal/logs/runs/main_seed2/plots/over_time/T-MAE.pdf",51314,"e89cb1e86f341eb2f1ad6ec466d088833829e1afbf863d6620abcbad556c1165"],["proposal/logs/runs/main_seed2/plots/over_time/T-MAE_loglogplot.pdf",70911,"0e4f19a66b2a3d51aeaf7a29d1d02993ccc00e89a36e2daed94242cbcea2f7e3"],["proposal/logs/runs/main_seed2/plots/over_time/T-MAE_logplot.pdf",61897,"38d6ecb49d6e631a9e5ad90a08e3fc7333acf68cde14d793814132a8700715c8"],["proposal/logs/runs/main_seed2/plots/over_time/T-RMSE.pdf",50925,"823e01024fbe34df54b92887a173b4440613b04be1303217c132da1f264899dc"],["proposal/logs/runs/main_seed2/plots/over_time/T-RMSE_loglogplot.pdf",69913,"79c27de17a37f2ea7e5661fcf6cae893b13fccb63eaf07c9cc5b91f3428aef78"],["proposal/logs/runs/main_seed2/plots/over_time/T-RMSE_logplot.pdf",60555,"cc87e880637b8d674ac0b519fb626466a07332b2cc252e003ec7e217ddf284b1"],["proposal/logs/runs/main_seed2/run_summary.json",1014,"a3f31844ea423edbfebae6b1d540c58897349f70e8623b514b7e382817b252e8"],["proposal/logs/runs/main_seed2/split_indices.npz",1047330,"faf8386d24c0be69b72b15b7de340aa2424768ff19ee31663f52896e9acd9943"],["proposal/logs/runs/main_seed2/split_summary.json",324,"bc3429d800728ed6d390cdbfca9e8839a7f3ed471689783ebce8e2e47c2f83c1"],["proposal/logs/runs/main_seed2/training_log.txt",667219,"aab0452b63db07706fd22b5241849e6be8605bab02a95bea2596607bfa5ca022"],["proposal/logs/runs/main_seed2/training_metrics.pkl",2251461,"382332c7b6492445b262b306178fadeb56845dd3f63cbaf78ed68ddb716d77bd"],["proposal/logs/runs/main_seed2/training_metrics.pt",1338791,"dc231ee4ff430cc7ffadfa9e9c39113ad11305b4abe69052b266ef02cdb2eff5"],["proposal/logs/runs/main_seed2_console.log",673036,"cc76266abec5096d936bab8e27a3a2e086bfe32858d625683e6fa717feb2d626"],["proposal/logs/transfer_ani1x_console.log",185656,"b661480c648492275d3306586c7e6f5551f25d2ad063703bc1ed93e6b68f38e6"],["proposal/neurips.sty",13462,"0c1ad36961fcd9198dcc2558cf2793e1df39973bde8264fd701f5e7970672757"],["proposal/numbers.tex",2427,"cdd819dc963b3c993a40fa5a7fc5a4a44fe8d29dfdccf33c549e97f603678567"],["proposal/references.bib",12656,"c2188f17892e6e0a87f0cb8923cacd7ee8f563dee91d86db52e8a11ebdf34cec"],["proposal/report.aux",21128,"9ddf6244e6c605fd4fb417c0b84dce0b2dc41d58c2d3ca1363bd5fab5d519edd"],["proposal/report.bbl",11752,"e17dbbc5f56874ab1ad11ffb6655f1c00cb71f730df3625a4cb4b86af6091619"],["proposal/report.blg",916,"4ca55a3b00b80804520f7dd186f9aab47175fa73c6c2aa370d68b5620f3092f5"],["proposal/report.log",25339,"4be91782b673908e8db6339cb9e11e3740f94ee511e943e5aa95bfbdb87eb74a"],["proposal/report.out",4381,"98b6d2fb2a647e9489bc94cd6f11b5214d0c874b39b2354deed213a2e5ad05aa"],["proposal/report.pdf",495321,"ec9ca56c78b5e5de183452791c20e829042f09122cf7f5b0034b4ea2d0961138"],["proposal/report.tex",62534,"5decf717d54a032bcf81bb3327141ceae051e5f9e1b6758329e564983b2b9975"],["proposal/tables/tab_atlas.tex",3199,"a9c0a763287a4612537526821139c6f1c1b79217a037038fd8a4de191dba3931"],["proposal/tables/tab_candidates.tex",3939,"0442524bd05f07c9553e10086b3525cf4eca42524b5fa15ccce281a2ef389e5b"],["proposal/tables/tab_transfer.tex",1991,"74b0605a62a5905eb67778195c52f28a1fed6b195e6817b7753a295034a42489"]],"omitted":[{"path":"_runlogs","reason":"agent transcript (harness run log)"},{"path":"ai_scientist_trajectory.json","reason":"agent transcript (protocol excludes it)"},{"path":"data","reason":"dangling link","link":"/groups/gai51740/aci18915qy/nlb/papers/paper1/data"},{"path":"paper.md","reason":"staged from the frozen source inputs"},{"path":"task_spec.md","reason":"staged from the frozen task inputs"}],"excluded":{"__pycache__":22,"eval_results":1,"eval_results_codexjudge":1,"venv":1},"checked_against_judge_record":{"files":529,"missing":[],"sha256_mismatch":[]}}
|
file_systems/fable-5/paper1/view.tar.part-000
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:711be372ec1b27929e0b89300702a4e363bc437c2ec3b1942a9672a38fefa571
|
| 3 |
+
size 688230400
|