diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..544c09df4c314c1b777b15375aa16dae0cb187ae --- /dev/null +++ b/README.md @@ -0,0 +1,165 @@ +--- +pretty_name: SWE-bench Science +language: + - en +task_categories: + - text-generation +tags: + - software-engineering + - code-agents + - scientific-computing + - benchmark +--- + +# SWE-bench Science + +> Generated from the canonical 119-row release manifest. All task environment +> and verifier references point to immutable `linux/amd64` Docker Hub digests. + +SWE-bench Science evaluates coding agents on software-engineering problems from +scientific computing repositories. Each task is paired with an isolated task +environment and a separate verifier environment. Agent harnesses are selected +at evaluation time through Pier and are not baked into per-task release images. + +## Dataset Summary + +| Metric | Value | +| --- | ---: | +| Total tasks | 119 | +| Default non-GPL-family tasks | 107 | +| GPL/LGPL/AGPL-family opt-in tasks | 12 | +| Task environment images | 119 Docker Hub digests | +| Separate verifier images | 119 Docker Hub digests | +| linux/amd64 coverage | 119/119 | + +Domain, language, license, and verifier-status tables will be generated from +`data/tasks.csv`; they will not be maintained manually. `UNKNOWN` is retained +when a sparse upstream source has no machine-detectable license; such rows need +manual review before final publication. + +## Task Format + +Each row records a stable task id, title, scientific domain, implementation +language, upstream repository and base commit, source license, GPL-family gate, +task environment image, verifier image, and local Pier task path. + +The downloadable task bundle follows the Harbor-compatible format consumed by +Pier. The task environment and verifier run in separate containers. A trial +exports the agent's Git diff as `model.patch`; the verifier applies it to a +fresh baseline, rebuilds the project, and runs the grading contract offline. + +Pier currently runs local task directories rather than downloading this Hugging +Face dataset directly. The release therefore includes a small materialization +tool that resolves an explicit selection into a local `tasks-selected/` +directory before `pier run -p tasks-selected`. + +## Quick Start + +A clean user can run the following after downloading this private dataset: + +```bash +python3 -m pip install "huggingface_hub[cli]" +hf auth login +hf download / \ + --repo-type dataset --local-dir swe-bench-science +cd swe-bench-science + +uv venv --python 3.12 .venv +uv pip install "git+https://github.com/datacurve-ai/pier.git" + +# Default: the fixed 107-task non-GPL selection. +python3 tools/materialize.py --output tasks-selected + +# Arbitrary explicit batch. A GPL-family id still requires --allow-GPL. +python3 tools/materialize.py --task-id 002 --task-id 019 \ + --output tasks-selected-small + +# Pull both prebuilt images per task as linux/amd64, then run Pier. +python3 tools/run_batch.py --path tasks-selected-small \ + --pier-bin .venv/bin/pier --agent nop --n-concurrent 2 +``` + +To materialize all tasks, including the 12 GPL-family tasks: + +```bash +python3 tools/materialize.py --allow-GPL --output tasks-selected-all +``` + +The materializer writes the exact task ids to `selection.json`. The batch runner +hashes that list, pulls the environment and verifier images, writes a redacted +`batch-run.json`, and invokes Pier with `--no-force-build --no-delete`. It never +uses runner-side random sampling. The selected `--platform` is also exported as +`DOCKER_DEFAULT_PLATFORM` so Pier's ephemeral environment+agent image stays +compatible with the prebuilt image architecture on an arm64 host. + +## Codex Gateway Profile + +Keep credentials outside the dataset checkout. Start from +`profiles/codex.env.example`, place the real profile in a user-only directory, +and select it per run: + +```bash +python3 tools/run_batch.py --path tasks-selected-small \ + --pier-bin .venv/bin/pier --agent codex \ + --env-file ~/.config/swe-bench-science/openai.env \ + --n-concurrent 2 --n-attempts 1 +``` + +| Field | Purpose | +| --- | --- | +| `MODEL` | Model sent to Codex; CLI `--model` overrides it | +| `OPENAI_API_KEY` | Gateway credential; never written to run metadata | +| `CODEX_BASE_URL` | Selected relay or OpenAI-compatible endpoint | +| `CODEX_WIRE_API` | `responses` or `chat` | +| `CODEX_VERSION` | Installed `@openai/codex` version | +| `CODEX_REASONING_EFFORT` | Codex reasoning effort | + +The runner translates these fields into Pier's native Codex `config_toml` and +derives the network allowlist from the endpoint. Switching relay, protocol, or +credential means selecting another env file; task files and images do not +change. It also uses a runtime-only Codex adapter to install npm's optional +linux-x64 package correctly; no agent binary is placed in task images. Advanced +users can disable these defaults with `--no-auto-provider` and +`--no-auto-agent-adapter`, then pass repeated `--agent-kwarg` / `--agent-env` values directly to Pier. +Provider-qualified model names are preserved through Codex's +`command_model_name`; this matters for gateways that route `provider/model-name` +differently from the unqualified `model-name`. An explicit +`--agent-kwarg command_model_name=...` still takes precedence. +For a short smoke, add `--agent-timeout-multiplier 0.0223` (approximately 120 +seconds against the default task timeout); verifier timeout remains separate. + +## Agent Harnesses + +Codex, Claude Code, mini-swe-agent, and other Pier-supported harnesses are trial +configuration. They are not dataset columns and are not published once per +task. Reproducible evaluation records pin the Pier version, agent/version, +model/provider configuration, installation fingerprint, and both image digests. + +## GPL-family Tasks + +The default download selection contains 107 tasks. Use the project download +tool's explicit `--allow-GPL` option to materialize all 119 tasks. This option +is a distribution selection and does not replace compliance with the upstream +license of each source repository. + +## Security and Leakage Policy + +The dataset does not distribute reference-answer patches, oracle solutions, +author notes, credentials, or previous agent trajectories. Verifier material is +never mounted into the agent environment. The verifier disclosure policy is +pending final confirmation by the dataset owners. + +## Images + +Image references will point to immutable Docker Hub digests after the owners +provide the final namespace and complete per-task validation. Blank image fields +mean unpublished, not "use a default image". + +## Citation + +Pending the final paper citation. + +## License + +Dataset metadata license: pending owner confirmation. Each task row records the +license of its upstream source repository separately. diff --git a/data/statistics.md b/data/statistics.md new file mode 100644 index 0000000000000000000000000000000000000000..adafbba37cc2526d55cbe7813d701ba75c22fa26 --- /dev/null +++ b/data/statistics.md @@ -0,0 +1,145 @@ +# Generated Release Statistics + +Canonical rows: **119**; default non-GPL rows: **107**; GPL-family rows: **12**. + +Environment image references: **119/119**; verifier image references: **119/119**. + +### Domain + +| Value | Count | +| --- | ---: | +| `ai-chemistry-reaction-property-learning` | 1 | +| `ai4science-nmr-structure-elucidation` | 1 | +| `astrodynamics-and-orbital-mechanics` | 1 | +| `astronomical-image-analysis-and-wcs-aperture-photometry` | 1 | +| `astronomical-image-processing` | 1 | +| `astronomical-spectroscopy` | 1 | +| `astrophysical hydrodynamics and particle-based field visualization` | 1 | +| `astrophysical-xray-spectral-timing` | 1 | +| `atmospheric-science-isentropic-interpolation` | 1 | +| `atomistic thermodynamic integration and free-energy calculation` | 1 | +| `atomistic-machine-learning-and-molecular-simulation` | 2 | +| `atomistic-machine-learning-data` | 1 | +| `atomistic-machine-learning-potentials` | 1 | +| `boundary-aggregation` | 1 | +| `chemoinformatics-molecular-fingerprints` | 1 | +| `chromatin-accessibility peak calling` | 1 | +| `climate-fire-weather` | 1 | +| `computational-chemistry` | 1 | +| `computational-chemistry-and-solvation` | 1 | +| `computational-chemistry-molecular-representations` | 1 | +| `computational-chemistry-scientific-data-parsing` | 1 | +| `computational-chemistry-spectroscopy` | 1 | +| `computational-crystallography-and-materials-symmetry` | 1 | +| `computational-electromagnetics-and-geophysical-forward-modeling` | 1 | +| `computational-geometry` | 1 | +| `computational-high-energy-molecular-chemistry-periodic-models` | 1 | +| `computational-materials-finite-volume-pde` | 1 | +| `computational-materials-science` | 1 | +| `computational-mathematics-special-functions` | 1 | +| `computational-mechanics-and-soft-filament-dynamics` | 1 | +| `computational-oceanography-and-spherical-geometry` | 1 | +| `computational-oceanography-finite-volume-grids` | 1 | +| `computational-thermodynamics-calphad` | 1 | +| `computer-algebra` | 1 | +| `condensed-matter-magnetism-and-magnetic-symmetry` | 1 | +| `convex-optimization-parametric-workflows` | 1 | +| `crystallography-file-format-semantics` | 1 | +| `density-functional-theory` | 2 | +| `diffusion-mri-denoising` | 1 | +| `drug-discovery-cheminformatics` | 1 | +| `earth-science-data-semantics` | 1 | +| `earth-surface-dynamics-and-river-sediment-transport` | 1 | +| `edited-magnetic-resonance-spectroscopy-workflow` | 1 | +| `electrochemical-battery-modeling` | 1 | +| `electronic-structure-nonorthogonal-eigenproblems` | 1 | +| `energy-materials-and-finite-volume-transport` | 1 | +| `epigenomics-atac-seq-hmm` | 1 | +| `finite-difference-stochastic-partial-differential-equations` | 1 | +| `gamma-ray-astronomy-dark-matter` | 1 | +| `genomic-variant-data-semantics` | 1 | +| `genomics-contact-map-analysis` | 1 | +| `genomics-interval-statistics` | 1 | +| `genomics-sequence-annotation` | 1 | +| `geospatial-raster-reprojection` | 1 | +| `grazing-incidence-and-fiber-x-ray-scattering` | 1 | +| `high-density-extracellular-electrophysiology` | 1 | +| `high-performance-fibers-and-composites` | 4 | +| `lithium-ion-battery-modeling` | 1 | +| `magnetic-resonance-spectroscopy` | 1 | +| `magnetic-resonance-spectroscopy-processing` | 1 | +| `magnetic-resonance-spin-dynamics` | 1 | +| `magnetism-and-spin-models` | 1 | +| `mass-spectrometry-spectral-similarity` | 1 | +| `materials-science-scientific-data-semantics` | 1 | +| `materials-science-volumetric-data-semantics` | 1 | +| `medical-image-processing` | 1 | +| `medical-image-segmentation-geometry` | 1 | +| `medical-imaging` | 1 | +| `medical-imaging-color-pixel-semantics` | 1 | +| `microscopy-image-analysis` | 1 | +| `microwave-network-analysis` | 1 | +| `molecular-dynamics-machine-learning-potentials` | 1 | +| `molecular-dynamics-periodic-boundary-analysis` | 1 | +| `molecular-dynamics-trajectory-analysis` | 1 | +| `molecular-simulation` | 1 | +| `monte-carlo-particle-transport` | 1 | +| `neuroimaging` | 1 | +| `neurophysiology-signal-processing` | 1 | +| `new-energy-materials` | 1 | +| `nuclear-magnetic-resonance-spectroscopy` | 1 | +| `numerical-analysis-and-chemical-kinetics` | 1 | +| `periodic-electronic-structure` | 1 | +| `planetary-geodesy-and-geomagnetism` | 1 | +| `plasma-stability` | 7 | +| `polymer-coordinate-generation` | 1 | +| `population-genetics-tree-sequence-statistics` | 1 | +| `porous-media-image-analysis` | 1 | +| `power-system-energy-storage` | 1 | +| `probabilistic-scientific-computing` | 1 | +| `proteomics` | 1 | +| `quantum-chemistry-reaction-paths` | 1 | +| `quantum-information-many-body-tensor-networks` | 1 | +| `remote-sensing-and-geostationary-geolocation` | 1 | +| `renewable-energy-modelling` | 1 | +| `reticular-chemistry-and-framework-geometry` | 1 | +| `rna-seq-genomic-interval-semantics` | 1 | +| `satellite-navigation-and-gnss-positioning` | 1 | +| `single-cell-annotated-data-containers` | 1 | +| `single-cell-chromatin-accessibility` | 1 | +| `single-cell-perturbation-response-modeling` | 1 | +| `solar-physics-scientific-data-semantics` | 1 | +| `space-physics-coordinate-systems` | 1 | +| `stochastic-numerical-analysis` | 1 | +| `structural-biology-pdbx-macromolecular-connectivity` | 1 | +| `structural-engineering-and-disaster-resilience` | 1 | +| `structural-engineering-disaster-resilience` | 1 | +| `structural-engineering-finite-element-resilience` | 1 | +| `tropical-cyclone-hazard-monitoring` | 1 | + +### Language + +| Value | Count | +| --- | ---: | +| `c` | 2 | +| `c++` | 3 | +| `c-python` | 1 | +| `fortran` | 2 | +| `matlab-octave` | 3 | +| `python` | 103 | +| `python-c` | 1 | +| `python-cpp` | 2 | +| `python-cython` | 2 | + +### Source License + +| Value | Count | +| --- | ---: | +| `AGPL-family` | 4 | +| `Apache-2.0` | 10 | +| `BSD-3-Clause` | 37 | +| `LGPL-2.1-family` | 2 | +| `LGPL-3.0-family` | 6 | +| `LGPL-family` | 1 | +| `MIT` | 38 | +| `UNKNOWN` | 21 | diff --git a/data/tasks.csv b/data/tasks.csv new file mode 100644 index 0000000000000000000000000000000000000000..f47d5901c3bce5d028815e374c4b9f454650cde4 --- /dev/null +++ b/data/tasks.csv @@ -0,0 +1,120 @@ +task_id,title,domain,language,repository_url,base_commit,source_license,gpl_family,environment_image,verifier_image,image_platform,task_path,status +001,Repair omega-dependent range-separated PBE workflow in a real PySCF STRSF repository,density-functional-theory,python,https://github.com/aditisingh4812/simplified_tuned_range_separated,f794ca5265d38906782506f1ac4e197b4e273fc4,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-001:v0.1.0@sha256:ba7befeae4625761cb107ea17ff7962f0d7fd45a71eb25cf75369dc93da8f9d3,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-001:v0.1.0@sha256:3cf671ebe637b067246b05330c0c95c82bd0e1445fafaa3de1b6c1c4d1d7cd64,linux/amd64,tasks/task_001,dockerhub-published +002,Repair an inconsistent reduced validation workflow,density-functional-theory,python,https://github.com/aditisingh4812/simplified_tuned_range_separated,f794ca5265d38906782506f1ac4e197b4e273fc4,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-002:v0.1.0@sha256:13e8c428f486c685ec92b031e46f3520bac3d4e26b6bdd83fde9826a488b7761,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-002:v0.1.0@sha256:a863b98f920e1e9b1aede8bd0460d039628aab19a413cce3dad7417028e1bd1a,linux/amd64,tasks/task_002,dockerhub-published +003,Repair extxyz stress and virial tensor-label preservation,atomistic-machine-learning-data,python,https://github.com/deepmodeling/dpdata,4d8048b51ee0cc00caa4854844c28b7f892fd908,LGPL-3.0-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-003:v0.1.0@sha256:f161a1e658abd71c5c3abda59b61814a2c5bf140a4826b5598a917d62a258f4e,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-003:v0.1.0@sha256:4d2e13b726b99a0c9d302ba913cdaa727c49fdc403b65b68918ec70c1713a790,linux/amd64,tasks/task_003,dockerhub-published +004,Repair split-read exon-overlap filtering,rna-seq-genomic-interval-semantics,c++,https://github.com/arq5x/bedtools2,0f45761e8ef6ffc093f649b0145788577a62ed33,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-c-task-004:v0.1.0@sha256:290695ddb1d2a160142311b604ccb61ff5d51d9500b6d218c56b43cbb94d9620,docker.io/kevinxulearning/swe-bench-science-verifier-c-task-004:v0.1.0@sha256:2553def59dc88f1886ad281da1d561600560a6f8391f177d33bb9f4975e7cc4f,linux/amd64,tasks/task_004,dockerhub-published +005,Repair edited MRS subspectrum polarity handling,magnetic-resonance-spectroscopy-processing,matlab-octave,,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-005:v0.1.0@sha256:a2c49556f75e3dc3fd7f186e6309b2af8def8b724a950abe28fec9c317043440,docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-005:v0.1.0@sha256:a7504e832bbcdd27a696ef1a476ae48afae9b470fcb38037c5eb24fd30ccf3b0,linux/amd64,tasks/task_005,dockerhub-published +006,Repair inconsistent genomic interval enrichment counts,genomics-interval-statistics,c++,https://github.com/arq5x/bedtools2,ac6b252a3a6df2498757d76190b2b164cc591453,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-c-task-006:v0.1.0@sha256:f740af3206582652b34972f662852a98c370ab94b5e4c1fccb88d065f8abae04,docker.io/kevinxulearning/swe-bench-science-verifier-c-task-006:v0.1.0@sha256:21e0cc23312edf271bb76b5cb35e61125952ff0056813c8e15c52713b6a2e5f9,linux/amd64,tasks/task_006,dockerhub-published +007,Repair unstable spectral registration for drifted MRS transients,magnetic-resonance-spectroscopy,python,https://github.com/openmrslab/suspect,2254ab2ae6194b41487c933039c5f2ea204e5107,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-007:v0.1.0@sha256:3d7361fdd902b7603b13befdaee0d7a2bcfb2d1f3f970633c981bd5b975103ec,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-007:v0.1.0@sha256:ba9b6eeba1b6ac397d7878bff2d920b1137caf4fda6909422fa9001aab26b24b,linux/amd64,tasks/task_007,dockerhub-published +008,Establish first vacuum-plus-wall external-region capability in the TERPSICHORE-native path,plasma-stability,python,https://github.com/PlasmaControl/DESC,ab1c5a33031a2e64581f5e663ef8e2f6203a5220,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-008:v0.1.0@sha256:e65d078c640c84fcd915c520a99d477b3c650ec137056a552ea8aa505d0a19ec,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-008:v0.1.0@sha256:5f02708ac41337aa21e611a45fc0b398613378833718f2900a18ae753808974a,linux/amd64,tasks/task_008,dockerhub-published +009,Enable projection-wall external-region support in the TERPSICHORE-native path,plasma-stability,python,https://github.com/PlasmaControl/DESC,ab1c5a33031a2e64581f5e663ef8e2f6203a5220,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-009:v0.1.0@sha256:a40f148e84915c6a8b0cf89b8cf6ce27d7aedb4451c4bcaee715a55b295831e4,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-009:v0.1.0@sha256:73746f77074cfc0a1b7abaebf7f95d877a883a454eb8e4e48ef5db52c5ccceac,linux/amd64,tasks/task_009,dockerhub-published +010,Complete alternate perturbation-representation support,plasma-stability,python,https://github.com/PlasmaControl/DESC,ab1c5a33031a2e64581f5e663ef8e2f6203a5220,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-010:v0.1.0@sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-010:v0.1.0@sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11,linux/amd64,tasks/task_010,dockerhub-published +011,Complete the Missing Response Capability,plasma-stability,python,https://github.com/PlasmaControl/DESC,ab1c5a33031a2e64581f5e663ef8e2f6203a5220,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-011:v0.1.0@sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-011:v0.1.0@sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7,linux/amd64,tasks/task_011,dockerhub-published +012,Complete 3-D Cross-n FOURIN Spectral Coupling,plasma-stability,python,https://github.com/PlasmaControl/DESC,ab1c5a33031a2e64581f5e663ef8e2f6203a5220,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-012:v0.1.0@sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-012:v0.1.0@sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c,linux/amd64,tasks/task_012,dockerhub-published +013,Establish boundary-regime operator and energy closure in the TERPSICHORE-native path,plasma-stability,python,https://github.com/PlasmaControl/DESC,ab1c5a33031a2e64581f5e663ef8e2f6203a5220,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0@sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0@sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878,linux/amd64,tasks/task_013,dockerhub-published +014,Complete the native multi-equilibrium TERPSICHORE workflow,plasma-stability,python,https://github.com/PlasmaControl/DESC,ab1c5a33031a2e64581f5e663ef8e2f6203a5220,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0@sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0@sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362,linux/amd64,tasks/task_014,dockerhub-published +015,Restore thermal-equilibrium invariants in a Liouville-space relaxation workflow,magnetic-resonance-spin-dynamics,matlab-octave,https://github.com/IlyaKuprov/Spinach,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-015:v0.1.0@sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b,docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-015:v0.1.0@sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699,linux/amd64,tasks/task_015,dockerhub-published +016,Repair HMMRATAC peak refinement under sparse signal resolution,chromatin-accessibility peak calling,python-cython,https://github.com/macs3-project/MACS,a341a2f0ede26735f744d6d5e3b0f7ac1861cfe9,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-016:v0.1.0@sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3,docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-016:v0.1.0@sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d,linux/amd64,tasks/task_016,dockerhub-published +017,Repair dark-matter line-of-sight maps in Gammapy,gamma-ray-astronomy-dark-matter,python,https://github.com/gammapy/gammapy,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-017:v0.1.0@sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-017:v0.1.0@sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda,linux/amd64,tasks/task_017,dockerhub-published +018,Restore blacklist semantics in an HMMRATAC chromatin-accessibility workflow,epigenomics-atac-seq-hmm,python-cython,https://github.com/macs3-project/MACS,f01cb680e239192484ab672b9e34531b1403eb3d,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-018:v0.1.0@sha256:89e99d411185696887e7f538559b5b6b7e96ef80826e567686b38a7c236ba0e6,docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-018:v0.1.0@sha256:8b1dd5120cf838ae85b5b2824d2d9fdf419b830b49127d10e3c0d34ef38ead8e,linux/amd64,tasks/task_018,dockerhub-published +019,Complete robust topic-to-cistrome binarization for independent probability matrices,single-cell-chromatin-accessibility,python,https://github.com/aertslab/pycisTopic,cb5f54111d2affd89ad732c20c14dab6138026f0,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-019:v0.1.0@sha256:2640cbaa3fbd5ede86dd353b7f48173230d80448581bbacc6d434b9a13f9966c,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-019:v0.1.0@sha256:ffba9cf85dd9585323f72ac3e160da993c4f9ebb66846aa95071a62346e62330,linux/amd64,tasks/task_019,dockerhub-published +020,Complete an edge-graph geometry and force/virial capability for atomistic models,atomistic-machine-learning-and-molecular-simulation,python,https://github.com/deepmodeling/deepmd-kit,44f44acb2b9a56f55609ec7f0594d9b6fa01cb92,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-020:v0.1.0@sha256:da151294981c7487cd2b48c3b2f95eee3a66afca3ff00e2ea1e8bc4e24dc8443,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-020:v0.1.0@sha256:373d19decc97090d881cd8c39d3e9b8eeb9481ec4f7d2dfdda10b29ec11b92f6,linux/amd64,tasks/task_020,dockerhub-published +021,Complete a missing atomic-liquid thermodynamic-integration capability,atomistic thermodynamic integration and free-energy calculation,python,https://github.com/deepmodeling/dpti,9d90fd83c1eec85b7e204bb87f281df0b592623a,LGPL-3.0-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-021:v0.1.0@sha256:67e1047313c9010d69249bed758dfad28ef6108ac3627b3ae39149fcbb90a00e,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-021:v0.1.0@sha256:4556f2a24cf62743731721b1c2e36f82a08ca5c173f639e47b305e93bcd2013d,linux/amd64,tasks/task_021,dockerhub-published +022,Repair an inconsistent volume-to-surface projection,neuroimaging,python,https://github.com/nilearn/nilearn,fefa4d30c262384ebda0f1123a1691abf466a9f0,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-022:v0.1.0@sha256:0c0ed46caaa7b0d52a862dad6461ebdc165396fe7f96e8e50df3e4fed8155cf2,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-022:v0.1.0@sha256:ae3adfc761d0744164c6e5e45f686cd766b5ceb1ac17c8c590ce074e0dee938e,linux/amd64,tasks/task_022,dockerhub-published +023,Restore continuous NPT periodic-boundary unwrapping,molecular-dynamics-periodic-boundary-analysis,python,https://github.com/MDAnalysis/mdanalysis,2acd594449c02c2a354b07291031d89b50b52186,AGPL-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-023:v0.1.0@sha256:26adc2c4f41e400af9bd961ffbfd52711abd2f7a1856deac6eb462d4c6ebf8f9,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-023:v0.1.0@sha256:20999504b153a946750db97cc28b7458975f6399b7e146350955a1532ad140f4,linux/amd64,tasks/task_023,dockerhub-published +024,Restore coherent inference in a centered factorial-effects model,probabilistic-scientific-computing,python,https://github.com/pymc-devs/pymc,9ee5d84b5048aea0690bba2629ece684656ad186,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-024:v0.1.0@sha256:6432ca66d7b714d23f5ce315cc1b3ce39dcf7937046d46be4bb470d059c92dcd,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-024:v0.1.0@sha256:e641ce128a4db3c75da315e0b85872c2f65a064badbb5e05a972fc4a71b2c30b,linux/amd64,tasks/task_024,dockerhub-published +025,Repair inconsistent cross-protocol Osprey validation reports,edited-magnetic-resonance-spectroscopy-workflow,matlab-octave,https://github.com/schorschinho/osprey,24e89ec3ac278cc642ce06cbbe30321155435e0b,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-025:v0.1.0@sha256:eebf7a8137f4a36b5d7f27d49bf52596cf342700ca016f003c723f1affab8626,docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-025:v0.1.0@sha256:8da94067fe1009753dc73eaf8410b8fe743212c8c1929cc43cb450d3292aac01,linux/amd64,tasks/task_025,dockerhub-published +026,Restore isentropic interpolation for terrain-following model data,atmospheric-science-isentropic-interpolation,python,https://github.com/Unidata/MetPy,34d14b293c9e75dfff5422c0461d48731916d773,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-026:v0.1.0@sha256:425b952ba92036d8fe6b7a240e0ee7a57ceafc456e68e8297d8d814e06988593,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-026:v0.1.0@sha256:46fadf320df6b6adca39a81c2e83a3f16f8fa486a2adfefdc56a0518edb5db45,linux/amd64,tasks/task_026,dockerhub-published +027,Restore consistent NMR peak-set encoding under batch padding,ai4science-nmr-structure-elucidation,python,https://github.com/little1d/NMRTrans,9e59a111d201c1c3aee6db079fe1ea2c6a2d8ba8,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-027:v0.1.0@sha256:a0b2b795f21ebf2107c72a04657c3f5dedf1ef816974bedf0e765e8f3d1feafe,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-027:v0.1.0@sha256:7553e8b9d60ddba9b86ee74d4f200929dfaed195b79a7e29efa3713f93e5a656,linux/amd64,tasks/task_027,dockerhub-published +028,Repair control-referenced relative responses in a single-cell perturbation workflow,single-cell-perturbation-response-modeling,python,https://github.com/JialongJiang/DSPIN,cbedc58e2127d912895defa95c65a623fa2f67d6,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-028:v0.1.0@sha256:c9ed2829a11ec5fc42b54d30bbcd8e2b51f82061a7c0476564d073ed66f3d915,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-028:v0.1.0@sha256:4c4ec965b94251ab9b163fe1294a4e863dc5a2b0a005dabb51dbaa5a5d6c95fe,linux/amd64,tasks/task_028,dockerhub-published +029,Restore annotation equivalence after circular-record orientation normalization,genomics-sequence-annotation,python,https://github.com/biopython/biopython,fb0e7f522d714d76eec42f5fd428eb7942a11dde,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-029:v0.1.0@sha256:ef7e5c2b118cfb635fe2a38a96a3e74a8b8ccad4f45c4420a262224cde2aed3d,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-029:v0.1.0@sha256:bf60c02145e60447a42aa0e8205c11851bafae01fb38da1969c8ca9697ab119f,linux/amd64,tasks/task_029,dockerhub-published +030,Repair format-conformant SHELX/AIRSS .res export in a crystallographic IO workflow,crystallography-file-format-semantics,python,https://github.com/materialsproject/pymatgen,585bb673c4aa222669c4b0d72ffeec3dbf092630,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-030:v0.1.0@sha256:78f08b2d5abbea8a230c26ba7870f472e7888a8a99bf8a7a860164bbd77f0e95,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-030:v0.1.0@sha256:c2f2d33b4f3eac896abeb9dff00a81386b8e763f5aea124aedac4b9f6a8e9a60,linux/amd64,tasks/task_030,dockerhub-published +031,Restore documented average-reference semantics for mixed-modality recordings,neurophysiology-signal-processing,python,https://github.com/mne-tools/mne-python,3b3f3afb0e46a6ac6b97e6ecfbc2414497ea9a3a,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-031:v0.1.0@sha256:d4140ef5964abbe2f30c6df0ce3348263ae7696d2e1bd45fa022a63165439437,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-031:v0.1.0@sha256:11198de9a24cc54ef854642f96d3106d3e50e5e69f86e3d1e88da26254cea4be,linux/amd64,tasks/task_031,dockerhub-published +032,Repair an inconsistent peptide energy after topology import,molecular-simulation,python,https://github.com/openmm/openmm,d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98,LGPL-family,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.0@sha256:1f1e710ff121fc590e1a1bcc0d6e35b6b20488b67b4ff2ea9e088c5ed5b3c617,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.0@sha256:b33b42c56351b94f8e871921d9c51b3edba1f2317186ec51db8d0e7a49c1a0c4,linux/amd64,tasks/task_032,dockerhub-published +033,Repair inconsistent energies across equivalent periodic representations,periodic-electronic-structure,python,https://github.com/pyscf/pyscf,802cd37e9dc6abb52f30d84bb422b6ee15493fc9,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.0@sha256:44845aa0036b539e82cf042b31b278ab3e4dba56dd5d0abe1da426466a4d1c49,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.0@sha256:02bd79559d1d6180dbcc19db90b316567798ba192fed39d51bc1f5c20adca064,linux/amd64,tasks/task_033,dockerhub-published +034,Repair an inconsistent stochastic trajectory calculation,stochastic-numerical-analysis,python,https://github.com/patrick-kidger/diffrax,56d78e1acbdc9c1493caef17a34777931430f3bf,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.0@sha256:7059fdb21c925acab3c847faecece53d294086745e3f4e373473aab44b180edb,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.0@sha256:232f4698c8988c515640b1225e1a25b275b3a3bcc0658c08697e37dfdb740a64,linux/amd64,tasks/task_034,dockerhub-published +035,Repair an incomplete stiff-kinetics campaign,numerical-analysis-and-chemical-kinetics,python,https://github.com/scipy/scipy,c4e7f1146556f4b038bfbfc0912ac3843e844c55,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.0@sha256:ade094c8b37641bf91ee9e09c12b5dcd6ff0f0251613c73c73b7e0f0109a170f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.0@sha256:5bdf5079219dab4d67b255724888338b3d5602d4dd24df83723b27a699f578b9,linux/amd64,tasks/task_035,dockerhub-published +036,Repair inconsistent sampling on a spherical curvilinear ocean grid,computational-oceanography-and-spherical-geometry,python,https://github.com/Parcels-code/Parcels,439ea290f9a75c3cbd66d79333fed475f92aeb00,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-036:v0.1.0@sha256:85db05aa83f3c2408533a237892331b08af27cdbc4a380e772eb5810fcd7c8d4,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.0@sha256:c0bab454078f7f8f8fb3474977e6be7f057aecb040e936a92d95ececdb091d29,linux/amd64,tasks/task_036,dockerhub-published +037,Repair an inconsistent multiframe MR reconstruction,medical-imaging,python,https://github.com/nipy/nibabel,5d10c5b8bb09576e24e9d316da1019fb909d7d32,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.0@sha256:526eaf4f7800f715fda24e8c515162d91a2e89d46c6a7228fa9f13706e6f3c63,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.0@sha256:adcfa1988d7786568e96018c91ca4d73f12c409e2d81af2fb416e868ff304881,linux/amd64,tasks/task_037,dockerhub-published +038,Repair inconsistent crystal classification across equivalent representations,computational-crystallography-and-materials-symmetry,c,https://github.com/spglib/spglib,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.0@sha256:41ba231d44d2445f621ed17c3a5f881a41941b79d2f297b49bd66e9e8145a8fb,docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.0@sha256:511507351b10162103c5f48282142f8b767230784456e9952c943657beddb7a9,linux/amd64,tasks/task_038,dockerhub-published +039,Repair a river-network sediment transport calculation,earth-surface-dynamics-and-river-sediment-transport,python,https://github.com/landlab/landlab,546bc11054cff5e12808c7122b3e8b38f1ef555f,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-039:v0.1.0@sha256:3ed83c8573077b62d1c7b2a498bc9dca044d772a6f930ef5c570feccbbb0b43f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.0@sha256:f6e72d3a31b0d1321a608fb1f33ddbdd6ca30eb0da862eebce3590b27c4650a4,linux/amd64,tasks/task_039,dockerhub-published +040,Restore consistent magnetic-dipole electromagnetic predictions,computational-electromagnetics-and-geophysical-forward-modeling,python,https://github.com/simpeg/simpeg,3cc6605c54b0f6062c1a139ece2ecf69cddc829,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-040:v0.1.0@sha256:a052d87111542518755781c8d49a50de5d7ed6e3f75b2132fc1d8418dba89e85,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.0@sha256:2f4ad5a63994c9ff62b9ad0b21e24da4a2130a337f20839ff97dccd4016aebd6,linux/amd64,tasks/task_040,dockerhub-published +041,Repair an inconsistent near-Earth vector conversion,space-physics-coordinate-systems,python,https://github.com/sunpy/sunpy,470d13491dd2c2a9440b3c657af33373ca8d47c1,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-041:v0.1.0@sha256:2d7000ea85b0ce1a1df141d46ccce61e3edcd53e86e9d5136a1b26096799aa77,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-041:v0.1.0@sha256:7e3b7b1a0ab181ed010a5bdb2bde149d115188f96418edea77331caf6e20b00a,linux/amd64,tasks/task_041,dockerhub-published +042,Repair an inconsistent solar-coordinate archive workflow,solar-physics-scientific-data-semantics,python,https://github.com/sunpy/sunpy,c961a1507a83b9dab24ccce12ab92a53b30359d7,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-042:v0.1.0@sha256:38b71d095fa30606c636c19aa2145fde1f74993809cff837b6da5e5597895181,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-042:v0.1.0@sha256:133f5154d63c2614e6e754d68ca91bef2a8ea4af1210de147a794c570c06d8f9,linux/amd64,tasks/task_042,dockerhub-published +043,Repair an inconsistent porous-volume characterization,porous-media-image-analysis,python,https://github.com/PMEAL/porespy,f2360a52bc77ec917aa07ce0cf6128dc7687ea64,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-043:v0.1.0@sha256:3e82e859587bdd681272bac9ecb4a415e77fe9f2160afe76a9f0bc641cf7096f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-043:v0.1.0@sha256:c9a3a93ea8eca723583d471b478202553f011baaaee8411063a1aabec7c1651e,linux/amd64,tasks/task_043,dockerhub-published +044,Repair inconsistent lithium-ion discharge predictions,electrochemical-battery-modeling,python,https://github.com/pybamm-team/PyBaMM,a42d7a92dd9a2c63240c8ccb6f240e5c3c42de46,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-044:v0.1.0@sha256:513707a2950f87958370d940ca542603b5a4b83443e5c712c916abd1cc37eeb0,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-044:v0.1.0@sha256:61f22d5c7943225471bcdeed86f32470249eaefe57453989c3af1314811f3671,linux/amd64,tasks/task_044,dockerhub-published +045,Repair inconsistent finite-volume operations on a connected multi-face grid,computational-oceanography-finite-volume-grids,python,https://github.com/xgcm/xgcm,3831b46accbff35f06e4ed3831600d71d5d8da18,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.0@sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.0@sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20,linux/amd64,tasks/task_045,dockerhub-published +046,Repair an inconsistent X-ray spectral-timing analysis,astrophysical-xray-spectral-timing,python,https://github.com/StingraySoftware/stingray,79b8f9bb9d122bd0176bb37f48f0fd4926eb9afb,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.0@sha256:5113cc358a6f5df25d7b7c09e02cb5b9bd9964248f2d51ead28308c90febd15d,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.0@sha256:73e5bc8338655f2d15e7dd871c42544ec9e7d16af3f24e6ecb69030f71edefbf,linux/amd64,tasks/task_046,dockerhub-published +047,Repair an inconsistent broadband microwave composite,microwave-network-analysis,python,https://github.com/scikit-rf/scikit-rf,a6dae181dbcf76fc738fc7fbc03d7de0a6c22634,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.0@sha256:a94de21354f66e978943e80946546812dbf404c4468baf12a84d23c34720e3d6,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.0@sha256:8529979be314893a77f9c51cf5d2c0d6266d6f9df10fb33d332eb242f38953db,linux/amd64,tasks/task_047,dockerhub-published +048,Repair an inconsistent alloy equilibrium assessment,computational-thermodynamics-calphad,python,,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.0@sha256:38893d5510a1f2c722c39dc851c1f4c0698c52602753e0e9a0531ea466ee9a4b,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.0@sha256:66acaa226780910a92acf5076beb045a8f521ec7f222277fb4fa1e37296d46da,linux/amd64,tasks/task_048,dockerhub-published +049,Restore consistent stochastic-field behavior on nonuniform grids,finite-difference-stochastic-partial-differential-equations,python,https://github.com/zwicker-group/py-pde,a9f8256c1b4b48ac73f3df35b3e570993501b333,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-049:v0.1.0@sha256:5d2c93c90c190f69ed1f8bb05014f34d900f4c68ca483cf428399caa5c80f339,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-049:v0.1.0@sha256:7a8babe7c3e8d6121a1fff866e0e6ae5871de381c8e759897a4b40244b6b76b6,linux/amd64,tasks/task_049,dockerhub-published +050,Repair an inconsistent tensor-network state calculation,quantum-information-many-body-tensor-networks,python,https://github.com/jcmgray/quimb,,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-050:v0.1.0@sha256:6f1421184ec5bd40580757a5b684b53519b2fb9044b900320b822fbffcc3ed7d,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-050:v0.1.0@sha256:74fe72ef3a7fe8749cbc7de11f80303278c83e89adfc60dfa00338059b3b0561,linux/amd64,tasks/task_050,dockerhub-published +051,Repair an inconsistent planetary gradient-tensor calculation,planetary-geodesy-and-geomagnetism,fortran,https://github.com/SHTOOLS/SHTOOLS,7f7d91474509acb597071eb789661b1f0cc304ca,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-051:v0.1.0@sha256:8235525555c16d48f6e12019ba6239fc99569358183a444cb0251b72dfd99de4,docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-051:v0.1.0@sha256:cc4ffda89baf3ef1fed6903ff06b194b1ef2f992413574aa6032451e09e653fb,linux/amd64,tasks/task_051,dockerhub-published +052,Restore a nonuniform finite-volume phase-field workflow,computational-materials-finite-volume-pde,python,https://github.com/usnistgov/fipy,11e5c6ae26207a60e223d46473ac364b352ac982,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-052:v0.1.0@sha256:7f5ea002c9963e322dd2ffc1b1c3d2669b511a74391f4ace0d1151207efec376,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-052:v0.1.0@sha256:d0fa3032421f94d1f0e43986f33125ab48af349eb26e5b68a1e86b372342b7bf,linux/amd64,tasks/task_052,dockerhub-published +053,Repair a representation-dependent physical surface Dice workflow,medical-image-segmentation-geometry,python,https://github.com/Project-MONAI/MONAI,18daff1d8b26002b02de526cc19b92a9a4907f89,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-053:v0.1.0@sha256:9763fa42d9a9e025dbb4470db64ad48b4d21549219f0938e746aadb5aa77dcc3,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-053:v0.1.0@sha256:10656f4e5cfb69d613c2442050f34691fe3264e4d03ee6bfa2f98d3529098ab6,linux/amd64,tasks/task_053,dockerhub-published +054,Repair an inconsistent tandem-mass spectral similarity workflow,mass-spectrometry-spectral-similarity,python,https://github.com/matchms/matchms,9f27ba89d8c485e6a2fa2db4756e3fe3aec05151,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-054:v0.1.0@sha256:a9e8dedaf3d63ada395f497d35092465a56a34c0862794ee20216f46d70ec98c,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-054:v0.1.0@sha256:60b1bd49880f5e1bab44cd13d5986b57b055f1ed3b30ff19801ff3232f93cfda,linux/amd64,tasks/task_054,dockerhub-published +055,Restore a scientific template-comparison workflow,astronomical-spectroscopy,python,https://github.com/astropy/specutils,0613ba1ba86fd7ae79e9d89c8ffd24004a891aee,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-055:v0.1.0@sha256:74325f6a3477680f5302abf9e5fd622b90be8d28ca9e01b87697b8cf480dba53,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-055:v0.1.0@sha256:f1b514a04de8a991bbe7af6591cdf6a260f6a89afa22105e90895e3529bd46d4,linux/amd64,tasks/task_055,dockerhub-published +056,Repair a physically inconsistent orbital history export,astrodynamics-and-orbital-mechanics,python,https://github.com/poliastro/poliastro,0583b33091b07229abe2027bccdc596ba3c5033b0,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-056:v0.1.0@sha256:2909a24d72bf5161604c65e846c94058d0318cb92e4b86b29a77aff46dea3a70,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-056:v0.1.0@sha256:3cf9ed1c78f08940105a8155526ab20272bdb2640eaf0f9af03526aac677887a,linux/amd64,tasks/task_056,dockerhub-published +057,Investigate a periodic trajectory-processing anomaly,molecular-dynamics-trajectory-analysis,python,https://github.com/mdtraj/mdtraj,b963d4f01290fef66cca714e4a53f4891096b69a,LGPL-2.1-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-057:v0.1.0@sha256:0a86aec644a934e46f0ebaaa25220b8fe0d792d942e15aab2dda03dae893eb80,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-057:v0.1.0@sha256:3a837ea554c65947e01e90be6998b561e6d5a0c64e6c29119e156026e4f5ce56,linux/amd64,tasks/task_057,dockerhub-published +058,Repair a valid OpenMC fixed-source workflow,monte-carlo-particle-transport,python-cpp,,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-cpp-task-058:v0.1.0@sha256:7e911bae59ef2a509e72cc8cc5454ae94d1fcf2cf560613de773aae3b419b78a,docker.io/kevinxulearning/swe-bench-science-verifier-python-cpp-task-058:v0.1.0@sha256:e2b0260ac34ef381c86af8c808838ddb9a1ccc2cc4ece1b52c3cadf25625abfc,linux/amd64,tasks/task_058,dockerhub-published +059,Restore physical consistency in calibrated cell morphometry,microscopy-image-analysis,python,https://github.com/scikit-image/scikit-image,e4e3ab682f0ff13460877624ecf068b9652ae071,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-059:v0.1.0@sha256:dec04a1b4fb9014d3f4f70f06966546d3d6055b56a3f1d4ffb8066152d8cff44,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-059:v0.1.0@sha256:2dda66b63502d81c2e09a7b0311ca76b3796dc1cd28349f9ece060a35795c8b0,linux/amd64,tasks/task_059,dockerhub-published +060,Restore a complete cross-band drift-correction recording,high-density-extracellular-electrophysiology,python,https://github.com/SpikeInterface/spikeinterface,3fd3d97164c6e85c2897ce8b13ba6aace81c2811,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-060:v0.1.0@sha256:61af28db733eec1188ad8b90a4a78404e88b7bfb17cf99800b543292c9545747,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-060:v0.1.0@sha256:d1a95a1456b922044d1cfa9156bf33ba40628a3115b2ff25b4d6b149dfd1f4bf,linux/amd64,tasks/task_060,dockerhub-published +061,Repair inconsistent celestial image representation in a mosaic,astronomical-image-processing,python-c,https://github.com/astropy/reproject,62a0d3f037024d4dcf67857fb83d392f2e099ec0,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-c-task-061:v0.1.0@sha256:a69139dfab9d10122d07187ba52e0218c8c3f8350e3d44926c5813c8700bbcbf,docker.io/kevinxulearning/swe-bench-science-verifier-python-c-task-061:v0.1.0@sha256:c0c05b7f3e36a5a4ede6443d7ce6f26522e8ae09db9baf5b14c16741039a7e07,linux/amd64,tasks/task_061,dockerhub-published +062,Repair an inconsistent archived elasticity workflow,computational-materials-science,python,https://github.com/materialsproject/atomate2,95b15d576f47923e1f200c0894915a8f46675291,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-062:v0.1.0@sha256:71b7a7f56a39dc1f3fa7d2ee034dbde903e373cc231b6584e542bb1eac6d8e9c,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-062:v0.1.0@sha256:b40392404273078f316aafdbee792923cdea10b8023ea733abe38ebb8ab5582a,linux/amd64,tasks/task_062,dockerhub-published +063,Repair inconsistent population-history estimates after archive curation,population-genetics-tree-sequence-statistics,c-python,https://github.com/tskit-dev/tskit,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-c-python-task-063:v0.1.0@sha256:77cb395977290ee08c9d9abd184bcb8d874d8b78a5d55119ad8832b912b58e7e,docker.io/kevinxulearning/swe-bench-science-verifier-c-python-task-063:v0.1.0@sha256:1f0346e1c5241487bb858955411ebf920e9bd53b37dcbb8aef37abd4c6dbe550,linux/amd64,tasks/task_063,dockerhub-published +064,Repair inconsistent molecular-energy interpretation in a quantum-chemistry log parser,computational-chemistry-scientific-data-parsing,python,https://github.com/cclib/cclib,593f0d67cf6a76f4a047f9a4856125c05947cff4,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-064:v0.1.0@sha256:fce98569a3f9c8039892d8411355e49e07633af201083c67501c8fb69f9844a1,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-064:v0.1.0@sha256:b5b5a01003841af0fd902d84d9b78cc6208d641b22503bff9c325de16c113dbb,linux/amd64,tasks/task_064,dockerhub-published +065,Repair inconsistent particle-field visualization results,astrophysical hydrodynamics and particle-based field visualization,python,https://github.com/yt-project/yt,c86781b8cbdeea8002c7846d37dc1250045146e6,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-065:v0.1.0@sha256:5c8c8b8c130b06f1871f1c74a2b0ca0f453519e94d50b6cd3e08b9d873b7d3c9,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-065:v0.1.0@sha256:2ef10bcb562ab83a9b5641f22a91a4e4a607d231ea8f58194795cb4a324a5efe,linux/amd64,tasks/task_065,dockerhub-published +066,Restore regional climate-model validation consistency,earth-science-data-semantics,python,https://github.com/SciTools/iris,0b569cdfad5e67f4aec3562bb26460020c7c7354,AGPL-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-066:v0.1.0@sha256:16eacda2003745c9ea63286b07df5be4ba9bdf27b737761abf3ab0cfe8b6be34,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-066:v0.1.0@sha256:bf551e3cb78adb7a896b69485af7688c98815988094971978b7b41a2ae89c548,linux/amd64,tasks/task_066,dockerhub-published +067,Repair a seasonal fire-weather state transition,climate-fire-weather,python,https://github.com/Ouranosinc/xclim,d1e654cf59a5d5761f5586bca1102a1590ae6e32,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-067:v0.1.0@sha256:293c50d411ea2c322e9b62189e5bf325abbb814682b1eb4dabec9555d035c78e,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-067:v0.1.0@sha256:fbbdf79e55e67535ee836f497be5aaf61412c5fe68b6856959217589e144e71c,linux/amd64,tasks/task_067,dockerhub-published +068,Restore biologically consistent retrieval from a VCF archive,genomic-variant-data-semantics,c,https://github.com/samtools/htslib,a4dde3f93c75dff09e9a1ddaf0db2e54c91ac5e3,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-c-task-068:v0.1.0@sha256:f08ff570bf57595b94e6fb3bc0f603e76d7b6de53f6c7c76199a099eee12fdd3,docker.io/kevinxulearning/swe-bench-science-verifier-c-task-068:v0.1.0@sha256:333ed6fc1e4953d3abe1517a2871c1a2fb19ca0996d8d91bca6406898dac57ad,linux/amd64,tasks/task_068,dockerhub-published +069,Restore a complete Hi-C contact-decay analysis,genomics-contact-map-analysis,python,https://github.com/open2c/cooltools,ba2be42c714fffb6b62ea13e7ecfbecb5f4a4d9a,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-069:v0.1.0@sha256:104bacda92f0419c80454a4bd632d472b6ef53ac89c24c176266d226c3bfd7ba,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-069:v0.1.0@sha256:d879cd88dc547a45e25105bb4aec34c8c1acaf22d97bc858719692283e547819,linux/amd64,tasks/task_069,dockerhub-published +070,Restore chemically consistent proteoform ion annotations,proteomics,python,https://github.com/levitsky/pyteomics,f509b761a5231e9f108780c88c2b3781266e7b90,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-070:v0.1.0@sha256:a54e1623ce467ff3366a5c064753a7f72c27e2443e5bc14d075ce42bf65768de,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-070:v0.1.0@sha256:65428a9c41233b574b2d31746f8968a2d3387bad708ec99f7e142256461d17a3,linux/amd64,tasks/task_070,dockerhub-published +071,Repair an orientation-sensitive fiber-scattering reduction,grazing-incidence-and-fiber-x-ray-scattering,python,https://github.com/silx-kit/pyFAI,3a7adedc45c9a94585ec19bbd4622ac9f483ab9c,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-071:v0.1.0@sha256:08968262336c765e8d683cc867e2e0c3db50a99cee923ea8fa000bf4523a843d,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-071:v0.1.0@sha256:0039c955ffd15cd0020334c375dd24e6c41c1b1b2a6b59b392c647db32c47882,linux/amd64,tasks/task_071,dockerhub-published +072,Repair an incomplete DICOM color image presentation workflow,medical-imaging-color-pixel-semantics,python,https://github.com/pydicom/pydicom,b69de21c8610853493bc81d3eac79644554e4bda,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-072:v0.1.0@sha256:c9746b594a561e16a92a0718356d2bde20f564a61d882bbce1af3bcd1658dad3,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-072:v0.1.0@sha256:8683aa3c574011f36df457c54a443457cd37078c2ca48f85fcb46015c431b31d,linux/amd64,tasks/task_072,dockerhub-published +073,Repair inconsistent alternate-conformer structure connectivity,structural-biology-pdbx-macromolecular-connectivity,python,https://github.com/biotite-dev/biotite,f8c3b8aa5473e078f91c86dcee7340eb9ed3eb97,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-073:v0.1.0@sha256:fca7d2514acb9214baf529a5d4bfddbe5e165ba24cbea63cb4d380f5f5bea483,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-073:v0.1.0@sha256:6041a2f1f781e1e02e908984c07c6de7a1e2edd67a3ce90529522ebc2e72aee8,linux/amd64,tasks/task_073,dockerhub-published +074,Repair an ill-conditioned overlap band-postprocessing workflow,electronic-structure-nonorthogonal-eigenproblems,python,https://github.com/deepmodeling/DeePTB,e365079ea71190aaa0dc96d22253d3888c47abf9,LGPL-3.0-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-074:v0.1.0@sha256:717c4de698523729922644dc8f42dbf98071dbe48c25cf1016d425d2ceb0e49f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-074:v0.1.0@sha256:874067a5199b4db19f575c074b7cd51c1eddf03f7aa13c97810ea2873c917d86,linux/amd64,tasks/task_074,dockerhub-published +075,Restore consistent compressed Deep Potential tabulation,molecular-dynamics-machine-learning-potentials,c++,https://github.com/deepmodeling/deepmd-kit,a9bcbc505de7d905dbc2a598b10c17a49e0131d8,LGPL-3.0-family,True,docker.io/kevinxulearning/swe-bench-science-environment-c-task-075:v0.1.0@sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc,docker.io/kevinxulearning/swe-bench-science-verifier-c-task-075:v0.1.0@sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022,linux/amd64,tasks/task_075,dockerhub-published +076,Repair a batched parametric tracking workflow,convex-optimization-parametric-workflows,python,https://github.com/cvxpy/cvxpy,5f57b6408864caab207c28f773a14c6261689abe,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-076:v0.1.0@sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-076:v0.1.0@sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404,linux/amd64,tasks/task_076,dockerhub-published +077,Repair an inconsistent oriented-envelope fallback workflow,computational-geometry,python,https://github.com/shapely/shapely,d2872f6c4d7c99b16f8a71d99cd56d0a5fe54695,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-077:v0.1.0@sha256:c0164a3b9503d40d28bdb96503976e673fd0a29c924cfb24e198cd2698d1a2e8,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-077:v0.1.0@sha256:f9f3eb576dd41c94b0407e0a0395e1df75d6cad627be53a028bc995d4f66e633,linux/amd64,tasks/task_077,dockerhub-published +078,Repair an inconsistent astronomical aperture workflow,astronomical-image-analysis-and-wcs-aperture-photometry,python,,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-078:v0.1.0@sha256:5b91a58b57d7fd6c87dbbeab4daf50ef8f9deb08db5c5d8063d77eb67dcd93b1,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-078:v0.1.0@sha256:9a64793e10d20c2c0b719ae87a72d795435b24f5efb8577071b693ec88b6f882,linux/amd64,tasks/task_078,dockerhub-published +079,Repair molecular-string translation for catalogue workflows,computational-chemistry-molecular-representations,python,https://github.com/aspuru-guzik-group/selfies,55f4e3437b6fb68deafa533cb00277b119e6eb8a,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-079:v0.1.0@sha256:700ef06ac1ce8d1550984b274b58f9440ca378a240bdc3064e51ab1d302fcad6,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-079:v0.1.0@sha256:243dfa0eb24b77c5c08a9141b632177711d7f438177f0f737c0c2d453c14f7f4,linux/amd64,tasks/task_079,dockerhub-published +080,Repair inconsistent geospatial raster remapping,geospatial-raster-reprojection,python,https://github.com/xarray-contrib/xarray-spatial,7d252520dbf81b168a2789a6aedfb75d04a21061,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-080:v0.1.0@sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-080:v0.1.0@sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed,linux/amd64,tasks/task_080,dockerhub-published +081,Repair local study workflow,single-cell-annotated-data-containers,python,https://github.com/scverse/anndata,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-081:v0.1.0@sha256:6114de7210e1f47c1ad558a9ca8886105a5ecf5af6a8453a9c7732ac415a7431,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-081:v0.1.0@sha256:3a3f4428f0129a1302f743125649b4bea7445e57912bdd734ad3452389003efa,linux/amd64,tasks/task_081,dockerhub-published +082,Repair a workflow consistency bug,atomistic-machine-learning-and-molecular-simulation,python,https://github.com/deepmodeling/dpgen,02a442c6bd7da9b5b2c9f958d3a103f5d6cd2a27,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-082:v0.1.0@sha256:ff25e7997b4194fb53e3df8b71d48e8db25d299bf632ebebdb6a162925e73204,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-082:v0.1.0@sha256:a829af72c8e716a904d83a590a865d07a7b9a31a8d4b7083afbf90b6611a937c,linux/amd64,tasks/task_082,dockerhub-published +083,Repair bond-order species reporting,computational-chemistry,python,https://github.com/deepmodeling/reacnetgenerator,37b0bef6fd9d5945f1b752ac82d4f8564728cd8b,LGPL-3.0-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-083:v0.1.0@sha256:9483e6962b892e928f5f1e1c608d646d2d35c5899da15f57fa7bc8c23bd2e14f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-083:v0.1.0@sha256:a1c0f1dabd6d4c334c815cb398eda399fbb8b7739b7b5ec60ea8abb1882b7727,linux/amd64,tasks/task_083,dockerhub-published +084,Repair ABACUS relaxation archive/reload semantics,materials-science-scientific-data-semantics,python,https://github.com/deepmodeling/dpdata,80abfc5037876c0e883dcb58cd96521397e3fe36,LGPL-3.0-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-084:v0.1.0@sha256:735e7ece88fa49a77257cfb2a59b435ed6ef511e99cc1739e24b366ea129836b,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-084:v0.1.0@sha256:8cbe4554c727f25c1584f79c48f574a3d08e1fcf6d3c4cb32df36a7d8482216a,linux/amd64,tasks/task_084,dockerhub-published +085,Inconsistent archived observables,computational-chemistry-and-solvation,fortran,https://github.com/dftbplus/dftbplus,d4da8c5027b643291f3a6295efd4340ce79d6a36,AGPL-family,True,docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-085:v0.1.0@sha256:c4613c3e94fefc6cd721075d314d4fc463269cdd92cf7f6d0b656078a838a7cd,docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-085:v0.1.0@sha256:e68ac55c7cfb257756103351c305b97789d72f1e79203305d2aa7fa39e657eb1,linux/amd64,tasks/task_085,dockerhub-published +086,Repair a silent MatGL fine-tuning incompatibility,atomistic-machine-learning-potentials,python,https://github.com/materialyzeai/matgl,02b415ba8bb25244bc5e3ad970491f0fbbea0292,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-086:v0.1.0@sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-086:v0.1.0@sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac,linux/amd64,tasks/task_086,dockerhub-published +087,Repair a silent diffusion-MRI denoising inconsistency,diffusion-mri-denoising,python,https://github.com/dipy/dipy,ee6016ab81dd649ab40439d75212f35669302810,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-087:v0.1.0@sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-087:v0.1.0@sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f,linux/amd64,tasks/task_087,dockerhub-published +088,Repair a boundary aggregation failure,boundary-aggregation,python,https://github.com/pydata/xarray,0b071e369a88f6672accc2a99c40d3b4b334f2f9,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-088:v0.1.0@sha256:c98a81a135c210d7681b57574c8f39a00f1a92778e458dc5300a7f2775e2ba6f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-088:v0.1.0@sha256:9f8a00b079fb998f0672f57af8f75628dabc8582122a294f2b20cd304503ac6e,linux/amd64,tasks/task_088,dockerhub-published +089,Repair inconsistent ORCA excited-state oscillator strengths,computational-chemistry-spectroscopy,python,https://github.com/cclib/cclib,6ba33bdd48bf336a81400147d2870323b241e457,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-089:v0.1.0@sha256:87e8b70f8d192990fe5a0f5d1773dcb304ab1bf5074a187236f2e0bd041ba356,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-089:v0.1.0@sha256:66ee7d7df906e3cad4e9d27664f1c6ea9bd6673ef36d5ddd61f5aaa75c88db60,linux/amd64,tasks/task_089,dockerhub-published +090,Restore multidimensional NMR acquisition grids,nuclear-magnetic-resonance-spectroscopy,python,,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-090:v0.1.0@sha256:a2a7d3de4b603c2e170a1ea679103aeefdd43c1503f5c2210f32fec9f51e3efa,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-090:v0.1.0@sha256:8ba7b5dff3e7bd208683b7d457ebfe6277ce4bdd218bea4d2e0ea322f49a5007,linux/amd64,tasks/task_090,dockerhub-published +091,Repair a workflow regression,materials-science-volumetric-data-semantics,python,https://github.com/materialsproject/pymatgen-core,c8cfee71f3ce5d92c5b5f6ca3d363f8f3a9f4495,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-091:v0.1.0@sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-091:v0.1.0@sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435,linux/amd64,tasks/task_091,dockerhub-published +092,Repair inconsistent Chemprop reaction observations,ai-chemistry-reaction-property-learning,python,https://github.com/chemprop/chemprop,1f367d55d1bac14dd6b9e0cd5746574fcfab9a59,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-092:v0.1.0@sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-092:v0.1.0@sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83,linux/amd64,tasks/task_092,dockerhub-published +093,Repair a patient-space round trip in MONAI,medical-image-processing,python,https://github.com/Project-MONAI/MONAI,5a644e4edcc37e5c963e52fda6fab4c85b3ff02e,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-093:v0.1.0@sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-093:v0.1.0@sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26,linux/amd64,tasks/task_093,dockerhub-published +094,Repair magnetic-space-group operations across archived settings,condensed-matter-magnetism-and-magnetic-symmetry,python,https://github.com/materialsproject/pymatgen,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-094:v0.1.0@sha256:29e3fa554e2177b07fb0e7f1cc9b470dd310202d31612af2e75baef512ae97e4,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-094:v0.1.0@sha256:0b8980bec95351d787ad34347fde67096254dbe62b04ceb69b5d4fd0f8ea86df,linux/amd64,tasks/task_094,dockerhub-published +095,Repair a repeated porous-electrode transport workflow,new-energy-materials,python,https://github.com/PMEAL/OpenPNM,d8efaa211ea6721cc4a718890f11fb60b8b43326,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-095:v0.1.0@sha256:08fb28caff95e4cc11459e4bc8d21965e2b52cfa2ad1829e98aa440eba3f47be,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-095:v0.1.0@sha256:9e1febafa3ee120cd3fdf92d8882fc81ac9c1f6215094130cc8f58de53fd82f9,linux/amd64,tasks/task_095,dockerhub-published +096,Repair a wrapped tropical-cyclone hazard workflow,tropical-cyclone-hazard-monitoring,python,https://github.com/CLIMADA-project/climada_python,104dfdb64ed00fce6c49a5d67be371f4fca016dd,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-096:v0.1.0@sha256:b5d83702d5a8bf8b17ce88fe6c95847eaf8b4ad5132e037fbaf6727154256a5f,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-096:v0.1.0@sha256:f83195b4ce577c453e2228e642418f22e935ebd835db2a0c168b8b7c93be28d9,linux/amd64,tasks/task_096,dockerhub-published +097,Repair spin-model consistency in DeePMD-kit,magnetism-and-spin-models,python,https://github.com/deepmodeling/deepmd-kit,6c3b985cbc6e2dec51976a20ae51214186c693b5,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-097:v0.1.0@sha256:d568b716103abb844e7d5f8e92693fc9bda65f9329fa82628da0433f52660de2,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-097:v0.1.0@sha256:f3cb6aea78fe4974c5f9fa31a55c02cec54773666d27857bfa0c1d9b79856ba1,linux/amd64,tasks/task_097,dockerhub-published +098,Repair inconsistent satellite parallax geolocation,remote-sensing-and-geostationary-geolocation,python,,,UNKNOWN,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-098:v0.1.0@sha256:7749c5504674fd868d0c9f318caa3bddbc2eb7beaa77fc4b92822b0c19ced514,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-098:v0.1.0@sha256:60c92aee990b8ff7809aa094f99a6ada0935ac7fe605bfa6f90345912e56e598,linux/amd64,tasks/task_098,dockerhub-published +099,Repair an inconsistent GNSS point solution,satellite-navigation-and-gnss-positioning,python,https://github.com/Stanford-NavLab/gnss_lib_py,9a4e467ba06e636ffa4de6ceee302cefee8b2a34,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-099:v0.1.0@sha256:99a563d1d49d0ae4fcff3a709bf6eadb46e5c1514ec902545d7c4fa7b11c529a,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-099:v0.1.0@sha256:821dfafb1035f4ffe52e58226ae63be3d779edcdd077cd1e2890b9916b67a97b,linux/amd64,tasks/task_099,dockerhub-published +100,Repair calibrated framework embedding relaxation,reticular-chemistry-and-framework-geometry,python,https://github.com/DCoupry/autografs,c2f22341f2b1eb2f619b76534cf4abe2e5e6b3a3,LGPL-2.1-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-100:v0.1.0@sha256:9bfa2b87a911734bd13a90d76db6e6fc482793b851cfe9e37e2616368eb4ea8b,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-100:v0.1.0@sha256:24d7057aa54c241cb71822a31b12711ad36c6d13c53d58af790290752df9ef84,linux/amd64,tasks/task_100,dockerhub-published +101,Repair an inconsistent battery-model reproduction,lithium-ion-battery-modeling,python,https://github.com/pybamm-team/PyBaMM,1e9fbcea25b78a0a633face62b077dae1f92bf62,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-101:v0.1.0@sha256:fd4bfc3ad2bcdaa12f1e2c7f8451646b14175f70bfd76a5066b06fbc8fa775b6,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-101:v0.1.0@sha256:d87a3417f48574040b26cf616241f4f448f766aac2c04b1945ad05392ec04840,linux/amd64,tasks/task_101,dockerhub-published +102,Repair an inconsistent polymer coordinate workflow,polymer-coordinate-generation,python,https://github.com/marrink-lab/polyply_1.0,160e9707d844ad1b108e1d8184152050d16088a0,Apache-2.0,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-102:v0.1.0@sha256:961828d6d0051e381646dc093bc531e80659fb62b7bda3181e6d624aa381efba,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-102:v0.1.0@sha256:efc0d2d6b049ecc34b2272455392e8eaec4e82f52d340a1b944597cbbb00342b,linux/amd64,tasks/task_102,dockerhub-published +103,Repair symmetric composite laminate ABD calculations,high-performance-fibers-and-composites,python,https://github.com/SteveDoyle2/pyNastran,bdff2bb616847a058960c56328b68e36ab3764e3,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-103:v0.1.0@sha256:8b1934f764347452d72e5a136b8925daf6002803df163fdda7285f9757831467,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-103:v0.1.0@sha256:6eee1cc75c6043694dc04e4d6de95a09eb4300c684c9901cb64fde126651ef29,linux/amd64,tasks/task_103,dockerhub-published +104,Repair inconsistent finite-volume advection edge states,energy-materials-and-finite-volume-transport,python,https://github.com/pybamm-team/PyBaMM,4cf09f36bb4afb42c661e8765e14b4527581eff7,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-104:v0.1.0@sha256:0d857f3eb3f235360133e7ac9f179871788984cc44ad877c33592de25b9a6d55,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-104:v0.1.0@sha256:255bdf4c710228c19cbdb1ae9add8b9740edc29edc129361dc83e13bd1c07e6e,linux/amd64,tasks/task_104,dockerhub-published +105,Restore a stereo-preserving tautomer workflow,drug-discovery-cheminformatics,python-cpp,,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-cpp-task-105:v0.1.0@sha256:c300da3c9e6851ebd49f1aaee9d30b11edfb3ff0d116687fd6d648d1dc237f9b,docker.io/kevinxulearning/swe-bench-science-verifier-python-cpp-task-105:v0.1.0@sha256:f1db6d0edacb4e211696f3e954c59bccbe2beb5ef28ea730dc73ee2bbb041d69,linux/amd64,tasks/task_105,dockerhub-published +106,Reproduce and extend a version-pinned MAP4/MAPC retrieval protocol,chemoinformatics-molecular-fingerprints,python,https://github.com/MLCIL/scikit-fingerprints,839001468ba8f8da64ba9d54b33fa33c795ed3c5,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-106:v0.1.0@sha256:06c0ff508ca79a201a203fbdba027bc4325e83a9d66ea6da91dc6edb5a3bfc70,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-106:v0.1.0@sha256:1cd49e20a456955be7217fb7d096e81562c9bbc081931055fd3e719ee9eaf111,linux/amd64,tasks/task_106,dockerhub-published +107,Repair a public symbolic workflow,computer-algebra,python,,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-107:v0.1.0@sha256:0d36982015454e5d48e5d6f24a8964813386dfc86bd7d2bb6b89c5183b18a289,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-107:v0.1.0@sha256:dfc6b902fd30de1a96bf83fc929da8a7fd05d2bdbbc9ca9b0a4dce53107363f9,linux/amd64,tasks/task_107,dockerhub-published +108,Restore stable Jacobi theta evaluations across difficult regimes,computational-mathematics-special-functions,python,https://github.com/mpmath/mpmath,5e683847c782a4c38ec71b8a88e6b1fbd903548f,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-108:v0.1.0@sha256:27ee5433771c81d7c81fe8dd421f6be77525f2970022969db930273d2c361cc0,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-108:v0.1.0@sha256:c7d2a5a47ab0b41c8da2154568fc37a12cd8da33569e1e73c41ddd2556550bf5,linux/amd64,tasks/task_108,dockerhub-published +109,Repair paired wrinkle FE analysis,high-performance-fibers-and-composites,python,https://github.com/elhajjar1/wrinkleFE,e81538d9a2ab5031559d0dd74b742ded5465406c,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-109:v0.1.0@sha256:28e18df47f0a3b6a207c6c8ecfc9c13ecf92888acf3abd19c8bb172636b9934a,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-109:v0.1.0@sha256:401e19dafcba0c5e8d08b55e01eca2380927e41be82c2144d9e99e3a86968d9b,linux/amd64,tasks/task_109,dockerhub-published +110,Restore consistent cross-section analysis results,high-performance-fibers-and-composites,python,,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-110:v0.1.0@sha256:31221c81a3b4eecab2d2a678620d800acdb02f804093d809656ad695b4e667d6,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-110:v0.1.0@sha256:f73746797050455f54de4c5aef6c2d50ad43601623072479fda97d9d80bbece7,linux/amd64,tasks/task_110,dockerhub-published +111,Restore consistent tapered-filament free response,computational-mechanics-and-soft-filament-dynamics,python,https://github.com/GazzolaLab/PyElastica,46ad665fb84bda0c2d9b3392b6f2ef2388af1358,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-111:v0.1.0@sha256:3ffa5e7326116f513a3a357db186b3c1d115e7b95328eec5a0c7646530eabf72,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-111:v0.1.0@sha256:3babb2ab453edfca93f09d4a4c2412a8eed02c686db64d4f122b656cb04be6cb,linux/amd64,tasks/task_111,dockerhub-published +112,Repair an inconsistent hybrid-section plastic capacity workflow,high-performance-fibers-and-composites,python,,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-112:v0.1.0@sha256:cf1d158d5fff8dc097eb9656e900a1db377e2d117cbcdd1f974abd1fd19c97d9,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-112:v0.1.0@sha256:30342a49f647f500a584e94e70157d8fde2a5f444c2d2c6f85eaf5cbf40ee421,linux/amd64,tasks/task_112,dockerhub-published +113,Repair an inconsistent solar-resource workflow,renewable-energy-modelling,python,,,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-113:v0.1.0@sha256:ed2da0d993479cb7e2468edd003d7e0995b64c12f531af018f1e6342bd7b6298,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-113:v0.1.0@sha256:9cc086c8edab07c617306a43a0e2bf7e2e2f70003734287d40e84138fdd73c11,linux/amd64,tasks/task_113,dockerhub-published +114,Repair an implausible storage history at a planning-epoch boundary,power-system-energy-storage,python,https://github.com/PyPSA/PyPSA,895bc26c721abbb826d7f8caf51587a66c69f15d,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-114:v0.1.0@sha256:d00e869c664e260a5f304cefea76ebc24b7771534511614557b49dabff377790,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-114:v0.1.0@sha256:413bf5a0fb0be52e587cf96314cfa625a9a55c8214506562b79d74aa5221074e,linux/amd64,tasks/task_114,dockerhub-published +115,Restore physically meaningful structural stability checks,structural-engineering-and-disaster-resilience,python,https://github.com/JWock82/Pynite,147c7aa24ec30b1c6a4d4820446915380752877b,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-115:v0.1.0@sha256:b1349937225fba8160651c9b9b218d1c8eef9c8c0f38e2a97620ac6f69d285e8,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-115:v0.1.0@sha256:a1b79491c7ee62a7541fe24e1053d2094f439d23b7b1fadff3f2086f9044b3ed,linux/amd64,tasks/task_115,dockerhub-published +116,Repair mode-dependent structural analysis observations,structural-engineering-finite-element-resilience,python,https://github.com/JWock82/Pynite,,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-116:v0.1.0@sha256:915ef0a612a06d17d0dae56aa1481524f7ff3a522e8373acf846faf6e5bd9423,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-116:v0.1.0@sha256:0f6df9acdb29e887cbcce79b2fe207237fee4edfbf825459002da778c7ccf90f,linux/amd64,tasks/task_116,dockerhub-published +117,Repair inconsistent lateral-frame member observations,structural-engineering-disaster-resilience,python,https://github.com/JWock82/Pynite,573e51689fe5fe54f279a7a875e431a35355fe73,MIT,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-117:v0.1.0@sha256:194616d6aabade2a36d9d1076a2628f50790c9a88beccd353de1a508b3a5f417,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-117:v0.1.0@sha256:4bff5cf1692b605c6de4c67fcaa834de3c63bcece3857dfb0074aee990b8a7ca,linux/amd64,tasks/task_117,dockerhub-published +118,Repair inconsistent periodic molecular energy representations,computational-high-energy-molecular-chemistry-periodic-models,python,,,AGPL-family,True,docker.io/kevinxulearning/swe-bench-science-environment-python-task-118:v0.1.0@sha256:d368971b40f90dbf4197b0a285dd19086c66fb8287bc96f8c4601be5b2c0f95b,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-118:v0.1.0@sha256:1e5311b58eae5b34988b4a7b193b50e3dae7e6037605b1deaeb2c854a3de4cd5,linux/amd64,tasks/task_118,dockerhub-published +119,Repair a molecular curvature workflow for reaction-path analysis,quantum-chemistry-reaction-paths,python,https://github.com/MolSSI/QCEngine,dd5eec6bfefa11ffe0ec81e2c4018003e8e39f2b,BSD-3-Clause,False,docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.0@sha256:bd74671fe69b403be15607d8f221b5e2528cb8fac5ea76561542af3ac3421bdc,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-119:v0.1.0@sha256:17807f4660a135d0d24a77e806d34f7fb1708117ab490bcdd0c4711ef5c5b560,linux/amd64,tasks/task_119,dockerhub-published diff --git a/manifests/tasks.jsonl b/manifests/tasks.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e0ae3a8d814b00b769a903b628406595d7d62d7 --- /dev/null +++ b/manifests/tasks.jsonl @@ -0,0 +1,119 @@ +{"base_commit": "f794ca5265d38906782506f1ac4e197b4e273fc4", "domain": "density-functional-theory", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-001:v0.1.0@sha256:ba7befeae4625761cb107ea17ff7962f0d7fd45a71eb25cf75369dc93da8f9d3", "environment_image_digest": "sha256:ba7befeae4625761cb107ea17ff7962f0d7fd45a71eb25cf75369dc93da8f9d3", "environment_image_id": "sha256:ba7befeae4625761cb107ea17ff7962f0d7fd45a71eb25cf75369dc93da8f9d3", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-001:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "9ed895761e11ebcd5d3d383429d1b50b2039969eab6be3369298f32077d581dd", "release_id": "001", "repository_url": "https://github.com/aditisingh4812/simplified_tuned_range_separated", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_001", "title": "Repair omega-dependent range-separated PBE workflow in a real PySCF STRSF repository", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-001:v0.1.0@sha256:3cf671ebe637b067246b05330c0c95c82bd0e1445fafaa3de1b6c1c4d1d7cd64", "verifier_image_digest": "sha256:3cf671ebe637b067246b05330c0c95c82bd0e1445fafaa3de1b6c1c4d1d7cd64", "verifier_image_id": "sha256:3cf671ebe637b067246b05330c0c95c82bd0e1445fafaa3de1b6c1c4d1d7cd64", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-001:v0.1.0"} +{"base_commit": "f794ca5265d38906782506f1ac4e197b4e273fc4", "domain": "density-functional-theory", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-002:v0.1.0@sha256:13e8c428f486c685ec92b031e46f3520bac3d4e26b6bdd83fde9826a488b7761", "environment_image_digest": "sha256:13e8c428f486c685ec92b031e46f3520bac3d4e26b6bdd83fde9826a488b7761", "environment_image_id": "sha256:13e8c428f486c685ec92b031e46f3520bac3d4e26b6bdd83fde9826a488b7761", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-002:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "413aae9a4fa7428016b80984ed9c66d8b5e9e3af97d9588571f64fcac7a1dc46", "release_id": "002", "repository_url": "https://github.com/aditisingh4812/simplified_tuned_range_separated", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_002", "title": "Repair an inconsistent reduced validation workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-002:v0.1.0@sha256:a863b98f920e1e9b1aede8bd0460d039628aab19a413cce3dad7417028e1bd1a", "verifier_image_digest": "sha256:a863b98f920e1e9b1aede8bd0460d039628aab19a413cce3dad7417028e1bd1a", "verifier_image_id": "sha256:a863b98f920e1e9b1aede8bd0460d039628aab19a413cce3dad7417028e1bd1a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-002:v0.1.0"} +{"base_commit": "4d8048b51ee0cc00caa4854844c28b7f892fd908", "domain": "atomistic-machine-learning-data", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-003:v0.1.0@sha256:f161a1e658abd71c5c3abda59b61814a2c5bf140a4826b5598a917d62a258f4e", "environment_image_digest": "sha256:f161a1e658abd71c5c3abda59b61814a2c5bf140a4826b5598a917d62a258f4e", "environment_image_id": "sha256:f161a1e658abd71c5c3abda59b61814a2c5bf140a4826b5598a917d62a258f4e", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-003:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "1f00289f07104c48c4894348dc606860079c7e5647e213570bb613d52603927e", "release_id": "003", "repository_url": "https://github.com/deepmodeling/dpdata", "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_003", "title": "Repair extxyz stress and virial tensor-label preservation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-003:v0.1.0@sha256:4d2e13b726b99a0c9d302ba913cdaa727c49fdc403b65b68918ec70c1713a790", "verifier_image_digest": "sha256:4d2e13b726b99a0c9d302ba913cdaa727c49fdc403b65b68918ec70c1713a790", "verifier_image_id": "sha256:4d2e13b726b99a0c9d302ba913cdaa727c49fdc403b65b68918ec70c1713a790", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-003:v0.1.0"} +{"base_commit": "0f45761e8ef6ffc093f649b0145788577a62ed33", "domain": "rna-seq-genomic-interval-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-004:v0.1.0@sha256:290695ddb1d2a160142311b604ccb61ff5d51d9500b6d218c56b43cbb94d9620", "environment_image_digest": "sha256:290695ddb1d2a160142311b604ccb61ff5d51d9500b6d218c56b43cbb94d9620", "environment_image_id": "sha256:290695ddb1d2a160142311b604ccb61ff5d51d9500b6d218c56b43cbb94d9620", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-004:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "c++", "license_source": "LICENSE", "public_payload_sha256": "8cc8d65610e3d79b5906805b086ce8163a7f03a586bfcbc62badbe9c62d8c555", "release_id": "004", "repository_url": "https://github.com/arq5x/bedtools2", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_004", "title": "Repair split-read exon-overlap filtering", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-004:v0.1.0@sha256:2553def59dc88f1886ad281da1d561600560a6f8391f177d33bb9f4975e7cc4f", "verifier_image_digest": "sha256:2553def59dc88f1886ad281da1d561600560a6f8391f177d33bb9f4975e7cc4f", "verifier_image_id": "sha256:2553def59dc88f1886ad281da1d561600560a6f8391f177d33bb9f4975e7cc4f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-004:v0.1.0"} +{"base_commit": "", "domain": "magnetic-resonance-spectroscopy-processing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-005:v0.1.0@sha256:a2c49556f75e3dc3fd7f186e6309b2af8def8b724a950abe28fec9c317043440", "environment_image_digest": "sha256:a2c49556f75e3dc3fd7f186e6309b2af8def8b724a950abe28fec9c317043440", "environment_image_id": "sha256:a2c49556f75e3dc3fd7f186e6309b2af8def8b724a950abe28fec9c317043440", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-005:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "matlab-octave", "license_source": "LICENSE.md", "public_payload_sha256": "dafbff8689114068d979e814bece33e26c954a846a4ce816e3ee4614552ae813", "release_id": "005", "repository_url": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_005", "title": "Repair edited MRS subspectrum polarity handling", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-005:v0.1.0@sha256:a7504e832bbcdd27a696ef1a476ae48afae9b470fcb38037c5eb24fd30ccf3b0", "verifier_image_digest": "sha256:a7504e832bbcdd27a696ef1a476ae48afae9b470fcb38037c5eb24fd30ccf3b0", "verifier_image_id": "sha256:a7504e832bbcdd27a696ef1a476ae48afae9b470fcb38037c5eb24fd30ccf3b0", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-005:v0.1.0"} +{"base_commit": "ac6b252a3a6df2498757d76190b2b164cc591453", "domain": "genomics-interval-statistics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-006:v0.1.0@sha256:f740af3206582652b34972f662852a98c370ab94b5e4c1fccb88d065f8abae04", "environment_image_digest": "sha256:f740af3206582652b34972f662852a98c370ab94b5e4c1fccb88d065f8abae04", "environment_image_id": "sha256:f740af3206582652b34972f662852a98c370ab94b5e4c1fccb88d065f8abae04", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-006:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "c++", "license_source": "LICENSE", "public_payload_sha256": "13d72d9ddbb69f144a85b474cae6106efe5bb7198ab09e144771589a4639ebc3", "release_id": "006", "repository_url": "https://github.com/arq5x/bedtools2", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_006", "title": "Repair inconsistent genomic interval enrichment counts", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-006:v0.1.0@sha256:21e0cc23312edf271bb76b5cb35e61125952ff0056813c8e15c52713b6a2e5f9", "verifier_image_digest": "sha256:21e0cc23312edf271bb76b5cb35e61125952ff0056813c8e15c52713b6a2e5f9", "verifier_image_id": "sha256:21e0cc23312edf271bb76b5cb35e61125952ff0056813c8e15c52713b6a2e5f9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-006:v0.1.0"} +{"base_commit": "2254ab2ae6194b41487c933039c5f2ea204e5107", "domain": "magnetic-resonance-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-007:v0.1.0@sha256:3d7361fdd902b7603b13befdaee0d7a2bcfb2d1f3f970633c981bd5b975103ec", "environment_image_digest": "sha256:3d7361fdd902b7603b13befdaee0d7a2bcfb2d1f3f970633c981bd5b975103ec", "environment_image_id": "sha256:3d7361fdd902b7603b13befdaee0d7a2bcfb2d1f3f970633c981bd5b975103ec", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-007:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "212b3be3c819f1587ea5e3bed18c94872ce7325e527a521f51ab37680bbfb004", "release_id": "007", "repository_url": "https://github.com/openmrslab/suspect", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_007", "title": "Repair unstable spectral registration for drifted MRS transients", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-007:v0.1.0@sha256:ba9b6eeba1b6ac397d7878bff2d920b1137caf4fda6909422fa9001aab26b24b", "verifier_image_digest": "sha256:ba9b6eeba1b6ac397d7878bff2d920b1137caf4fda6909422fa9001aab26b24b", "verifier_image_id": "sha256:ba9b6eeba1b6ac397d7878bff2d920b1137caf4fda6909422fa9001aab26b24b", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-007:v0.1.0"} +{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-008:v0.1.0@sha256:e65d078c640c84fcd915c520a99d477b3c650ec137056a552ea8aa505d0a19ec", "environment_image_digest": "sha256:e65d078c640c84fcd915c520a99d477b3c650ec137056a552ea8aa505d0a19ec", "environment_image_id": "sha256:e65d078c640c84fcd915c520a99d477b3c650ec137056a552ea8aa505d0a19ec", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-008:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "5863511b16e2bc29b11d73a3a9672f7d7ef1ff621d544f44a273642013eaad48", "release_id": "008", "repository_url": "https://github.com/PlasmaControl/DESC", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_008", "title": "Establish first vacuum-plus-wall external-region capability in the TERPSICHORE-native path", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-008:v0.1.0@sha256:5f02708ac41337aa21e611a45fc0b398613378833718f2900a18ae753808974a", "verifier_image_digest": "sha256:5f02708ac41337aa21e611a45fc0b398613378833718f2900a18ae753808974a", "verifier_image_id": "sha256:5f02708ac41337aa21e611a45fc0b398613378833718f2900a18ae753808974a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-008:v0.1.0"} +{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-009:v0.1.0@sha256:a40f148e84915c6a8b0cf89b8cf6ce27d7aedb4451c4bcaee715a55b295831e4", "environment_image_digest": "sha256:a40f148e84915c6a8b0cf89b8cf6ce27d7aedb4451c4bcaee715a55b295831e4", "environment_image_id": "sha256:a40f148e84915c6a8b0cf89b8cf6ce27d7aedb4451c4bcaee715a55b295831e4", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-009:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "0cfbfaa362cd8e9fa53fd20bd7691c32f0daed12632b711d29e6fc2d45316493", "release_id": "009", "repository_url": "https://github.com/PlasmaControl/DESC", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_009", "title": "Enable projection-wall external-region support in the TERPSICHORE-native path", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-009:v0.1.0@sha256:73746f77074cfc0a1b7abaebf7f95d877a883a454eb8e4e48ef5db52c5ccceac", "verifier_image_digest": "sha256:73746f77074cfc0a1b7abaebf7f95d877a883a454eb8e4e48ef5db52c5ccceac", "verifier_image_id": "sha256:73746f77074cfc0a1b7abaebf7f95d877a883a454eb8e4e48ef5db52c5ccceac", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-009:v0.1.0"} +{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-010:v0.1.0@sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7", "environment_image_digest": "sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7", "environment_image_id": "sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-010:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "dffb8a232fcdf0541d6536a2ddfc22ec92e5e68aa704ee5e49b19f75cdfd21b3", "release_id": "010", "repository_url": "https://github.com/PlasmaControl/DESC", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_010", "title": "Complete alternate perturbation-representation support", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-010:v0.1.0@sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11", "verifier_image_digest": "sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11", "verifier_image_id": "sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-010:v0.1.0"} +{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-011:v0.1.0@sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc", "environment_image_digest": "sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc", "environment_image_id": "sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-011:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "28c1ef74121cffdb5d98bd3c3bceb889a974a02f638de61d916b784f1c27f153", "release_id": "011", "repository_url": "https://github.com/PlasmaControl/DESC", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_011", "title": "Complete the Missing Response Capability", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-011:v0.1.0@sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7", "verifier_image_digest": "sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7", "verifier_image_id": "sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-011:v0.1.0"} +{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-012:v0.1.0@sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066", "environment_image_digest": "sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066", "environment_image_id": "sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-012:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "1b3d9c866f207e617fec2d02f7f907fb8825a73dddaf58c8e3ea8428efd36e36", "release_id": "012", "repository_url": "https://github.com/PlasmaControl/DESC", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_012", "title": "Complete 3-D Cross-n FOURIN Spectral Coupling", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-012:v0.1.0@sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c", "verifier_image_digest": "sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c", "verifier_image_id": "sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-012:v0.1.0"} +{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0@sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6", "environment_image_digest": "sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6", "environment_image_id": "sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "26223383f9ae3d913f440b76d92579dbf8a8db816c578b4b3f9d1ceacac2f0d5", "release_id": "013", "repository_url": "https://github.com/PlasmaControl/DESC", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_013", "title": "Establish boundary-regime operator and energy closure in the TERPSICHORE-native path", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0@sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878", "verifier_image_digest": "sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878", "verifier_image_id": "sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0"} +{"base_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", "domain": "plasma-stability", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0@sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10", "environment_image_digest": "sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10", "environment_image_id": "sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "96a3a4ff010c69e1334bd8f8ca21d9461508c60e7bdcc76d6982e7519a3dd5f7", "release_id": "014", "repository_url": "https://github.com/PlasmaControl/DESC", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_014", "title": "Complete the native multi-equilibrium TERPSICHORE workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0@sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362", "verifier_image_digest": "sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362", "verifier_image_id": "sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0"} +{"base_commit": "", "domain": "magnetic-resonance-spin-dynamics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-015:v0.1.0@sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b", "environment_image_digest": "sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b", "environment_image_id": "sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-015:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "matlab-octave", "license_source": "LICENSE.md", "public_payload_sha256": "af27bc600100b47a8f5e5bf4102267581618fe4720fbad521134ab3e0923f9d2", "release_id": "015", "repository_url": "https://github.com/IlyaKuprov/Spinach", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_015", "title": "Restore thermal-equilibrium invariants in a Liouville-space relaxation workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-015:v0.1.0@sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699", "verifier_image_digest": "sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699", "verifier_image_id": "sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-015:v0.1.0"} +{"base_commit": "a341a2f0ede26735f744d6d5e3b0f7ac1861cfe9", "domain": "chromatin-accessibility peak calling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-016:v0.1.0@sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3", "environment_image_digest": "sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3", "environment_image_id": "sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-016:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python-cython", "license_source": "LICENSE", "public_payload_sha256": "f5081627aa86c9f9d3d969a2ee3aafc57da27d078b1da0987c6fb2e619a5eee0", "release_id": "016", "repository_url": "https://github.com/macs3-project/MACS", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_016", "title": "Repair HMMRATAC peak refinement under sparse signal resolution", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-016:v0.1.0@sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d", "verifier_image_digest": "sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d", "verifier_image_id": "sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-016:v0.1.0"} +{"base_commit": "", "domain": "gamma-ray-astronomy-dark-matter", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-017:v0.1.0@sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628", "environment_image_digest": "sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628", "environment_image_id": "sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-017:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "476c49a1d6b135cff30022badc617bc976d384dc4fa3470c8255334cfcfc1175", "release_id": "017", "repository_url": "https://github.com/gammapy/gammapy", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_017", "title": "Repair dark-matter line-of-sight maps in Gammapy", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-017:v0.1.0@sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda", "verifier_image_digest": "sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda", "verifier_image_id": "sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-017:v0.1.0"} +{"base_commit": "f01cb680e239192484ab672b9e34531b1403eb3d", "domain": "epigenomics-atac-seq-hmm", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-018:v0.1.0@sha256:89e99d411185696887e7f538559b5b6b7e96ef80826e567686b38a7c236ba0e6", "environment_image_digest": "sha256:89e99d411185696887e7f538559b5b6b7e96ef80826e567686b38a7c236ba0e6", "environment_image_id": "sha256:89e99d411185696887e7f538559b5b6b7e96ef80826e567686b38a7c236ba0e6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-018:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python-cython", "license_source": "LICENSE", "public_payload_sha256": "ad3688322c62612c1fec8dc19b8a57624ede929b541d54972e719d4f1f253ab8", "release_id": "018", "repository_url": "https://github.com/macs3-project/MACS", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_018", "title": "Restore blacklist semantics in an HMMRATAC chromatin-accessibility workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-018:v0.1.0@sha256:8b1dd5120cf838ae85b5b2824d2d9fdf419b830b49127d10e3c0d34ef38ead8e", "verifier_image_digest": "sha256:8b1dd5120cf838ae85b5b2824d2d9fdf419b830b49127d10e3c0d34ef38ead8e", "verifier_image_id": "sha256:8b1dd5120cf838ae85b5b2824d2d9fdf419b830b49127d10e3c0d34ef38ead8e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-018:v0.1.0"} +{"base_commit": "cb5f54111d2affd89ad732c20c14dab6138026f0", "domain": "single-cell-chromatin-accessibility", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-019:v0.1.0@sha256:2640cbaa3fbd5ede86dd353b7f48173230d80448581bbacc6d434b9a13f9966c", "environment_image_digest": "sha256:2640cbaa3fbd5ede86dd353b7f48173230d80448581bbacc6d434b9a13f9966c", "environment_image_id": "sha256:2640cbaa3fbd5ede86dd353b7f48173230d80448581bbacc6d434b9a13f9966c", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-019:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "c4b61cbc1c1a90b7f7263eb3c0536a2595d0d3c66d7ee9b83633b576ad02123b", "release_id": "019", "repository_url": "https://github.com/aertslab/pycisTopic", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_019", "title": "Complete robust topic-to-cistrome binarization for independent probability matrices", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-019:v0.1.0@sha256:ffba9cf85dd9585323f72ac3e160da993c4f9ebb66846aa95071a62346e62330", "verifier_image_digest": "sha256:ffba9cf85dd9585323f72ac3e160da993c4f9ebb66846aa95071a62346e62330", "verifier_image_id": "sha256:ffba9cf85dd9585323f72ac3e160da993c4f9ebb66846aa95071a62346e62330", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-019:v0.1.0"} +{"base_commit": "44f44acb2b9a56f55609ec7f0594d9b6fa01cb92", "domain": "atomistic-machine-learning-and-molecular-simulation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-020:v0.1.0@sha256:da151294981c7487cd2b48c3b2f95eee3a66afca3ff00e2ea1e8bc4e24dc8443", "environment_image_digest": "sha256:da151294981c7487cd2b48c3b2f95eee3a66afca3ff00e2ea1e8bc4e24dc8443", "environment_image_id": "sha256:da151294981c7487cd2b48c3b2f95eee3a66afca3ff00e2ea1e8bc4e24dc8443", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-020:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "1eb7c271d3ba3c73397b1816eb9611b768d65b17e5f5fa1d083fecbc6472ea2e", "release_id": "020", "repository_url": "https://github.com/deepmodeling/deepmd-kit", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_020", "title": "Complete an edge-graph geometry and force/virial capability for atomistic models", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-020:v0.1.0@sha256:373d19decc97090d881cd8c39d3e9b8eeb9481ec4f7d2dfdda10b29ec11b92f6", "verifier_image_digest": "sha256:373d19decc97090d881cd8c39d3e9b8eeb9481ec4f7d2dfdda10b29ec11b92f6", "verifier_image_id": "sha256:373d19decc97090d881cd8c39d3e9b8eeb9481ec4f7d2dfdda10b29ec11b92f6", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-020:v0.1.0"} +{"base_commit": "9d90fd83c1eec85b7e204bb87f281df0b592623a", "domain": "atomistic thermodynamic integration and free-energy calculation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-021:v0.1.0@sha256:67e1047313c9010d69249bed758dfad28ef6108ac3627b3ae39149fcbb90a00e", "environment_image_digest": "sha256:67e1047313c9010d69249bed758dfad28ef6108ac3627b3ae39149fcbb90a00e", "environment_image_id": "sha256:67e1047313c9010d69249bed758dfad28ef6108ac3627b3ae39149fcbb90a00e", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-021:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "dd6fb60643f7b22fd56015f0d3b55317f55d72fbd7593b4bbffddfebefd29774", "release_id": "021", "repository_url": "https://github.com/deepmodeling/dpti", "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_021", "title": "Complete a missing atomic-liquid thermodynamic-integration capability", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-021:v0.1.0@sha256:4556f2a24cf62743731721b1c2e36f82a08ca5c173f639e47b305e93bcd2013d", "verifier_image_digest": "sha256:4556f2a24cf62743731721b1c2e36f82a08ca5c173f639e47b305e93bcd2013d", "verifier_image_id": "sha256:4556f2a24cf62743731721b1c2e36f82a08ca5c173f639e47b305e93bcd2013d", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-021:v0.1.0"} +{"base_commit": "fefa4d30c262384ebda0f1123a1691abf466a9f0", "domain": "neuroimaging", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-022:v0.1.0@sha256:0c0ed46caaa7b0d52a862dad6461ebdc165396fe7f96e8e50df3e4fed8155cf2", "environment_image_digest": "sha256:0c0ed46caaa7b0d52a862dad6461ebdc165396fe7f96e8e50df3e4fed8155cf2", "environment_image_id": "sha256:0c0ed46caaa7b0d52a862dad6461ebdc165396fe7f96e8e50df3e4fed8155cf2", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-022:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "99582a2c2af2ba02e144bae7f74fc0d2921c2b6f81e05bb9be8dcc8de6f6fe74", "release_id": "022", "repository_url": "https://github.com/nilearn/nilearn", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_022", "title": "Repair an inconsistent volume-to-surface projection", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-022:v0.1.0@sha256:ae3adfc761d0744164c6e5e45f686cd766b5ceb1ac17c8c590ce074e0dee938e", "verifier_image_digest": "sha256:ae3adfc761d0744164c6e5e45f686cd766b5ceb1ac17c8c590ce074e0dee938e", "verifier_image_id": "sha256:ae3adfc761d0744164c6e5e45f686cd766b5ceb1ac17c8c590ce074e0dee938e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-022:v0.1.0"} +{"base_commit": "2acd594449c02c2a354b07291031d89b50b52186", "domain": "molecular-dynamics-periodic-boundary-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-023:v0.1.0@sha256:26adc2c4f41e400af9bd961ffbfd52711abd2f7a1856deac6eb462d4c6ebf8f9", "environment_image_digest": "sha256:26adc2c4f41e400af9bd961ffbfd52711abd2f7a1856deac6eb462d4c6ebf8f9", "environment_image_id": "sha256:26adc2c4f41e400af9bd961ffbfd52711abd2f7a1856deac6eb462d4c6ebf8f9", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-023:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "153dcbad858d54261690a0f653963b8ef0fcbdb44087021be51c37bc07fc0f30", "release_id": "023", "repository_url": "https://github.com/MDAnalysis/mdanalysis", "schema_version": 1, "source_license": "AGPL-family", "status": "dockerhub-published", "task_path": "tasks/task_023", "title": "Restore continuous NPT periodic-boundary unwrapping", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-023:v0.1.0@sha256:20999504b153a946750db97cc28b7458975f6399b7e146350955a1532ad140f4", "verifier_image_digest": "sha256:20999504b153a946750db97cc28b7458975f6399b7e146350955a1532ad140f4", "verifier_image_id": "sha256:20999504b153a946750db97cc28b7458975f6399b7e146350955a1532ad140f4", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-023:v0.1.0"} +{"base_commit": "9ee5d84b5048aea0690bba2629ece684656ad186", "domain": "probabilistic-scientific-computing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-024:v0.1.0@sha256:6432ca66d7b714d23f5ce315cc1b3ce39dcf7937046d46be4bb470d059c92dcd", "environment_image_digest": "sha256:6432ca66d7b714d23f5ce315cc1b3ce39dcf7937046d46be4bb470d059c92dcd", "environment_image_id": "sha256:6432ca66d7b714d23f5ce315cc1b3ce39dcf7937046d46be4bb470d059c92dcd", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-024:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "ae7eec5199ff7cd1363660c5a2d49e369dbb293f720a4d40b77d6b4628945b82", "release_id": "024", "repository_url": "https://github.com/pymc-devs/pymc", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_024", "title": "Restore coherent inference in a centered factorial-effects model", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-024:v0.1.0@sha256:e641ce128a4db3c75da315e0b85872c2f65a064badbb5e05a972fc4a71b2c30b", "verifier_image_digest": "sha256:e641ce128a4db3c75da315e0b85872c2f65a064badbb5e05a972fc4a71b2c30b", "verifier_image_id": "sha256:e641ce128a4db3c75da315e0b85872c2f65a064badbb5e05a972fc4a71b2c30b", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-024:v0.1.0"} +{"base_commit": "24e89ec3ac278cc642ce06cbbe30321155435e0b", "domain": "edited-magnetic-resonance-spectroscopy-workflow", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-025:v0.1.0@sha256:eebf7a8137f4a36b5d7f27d49bf52596cf342700ca016f003c723f1affab8626", "environment_image_digest": "sha256:eebf7a8137f4a36b5d7f27d49bf52596cf342700ca016f003c723f1affab8626", "environment_image_id": "sha256:eebf7a8137f4a36b5d7f27d49bf52596cf342700ca016f003c723f1affab8626", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-025:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "matlab-octave", "license_source": "LICENSE.md", "public_payload_sha256": "f18821a41645c7f3e74d9406a0194df1526c47fa3f2538177fe027e5685252e3", "release_id": "025", "repository_url": "https://github.com/schorschinho/osprey", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_025", "title": "Repair inconsistent cross-protocol Osprey validation reports", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-025:v0.1.0@sha256:8da94067fe1009753dc73eaf8410b8fe743212c8c1929cc43cb450d3292aac01", "verifier_image_digest": "sha256:8da94067fe1009753dc73eaf8410b8fe743212c8c1929cc43cb450d3292aac01", "verifier_image_id": "sha256:8da94067fe1009753dc73eaf8410b8fe743212c8c1929cc43cb450d3292aac01", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-025:v0.1.0"} +{"base_commit": "34d14b293c9e75dfff5422c0461d48731916d773", "domain": "atmospheric-science-isentropic-interpolation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-026:v0.1.0@sha256:425b952ba92036d8fe6b7a240e0ee7a57ceafc456e68e8297d8d814e06988593", "environment_image_digest": "sha256:425b952ba92036d8fe6b7a240e0ee7a57ceafc456e68e8297d8d814e06988593", "environment_image_id": "sha256:425b952ba92036d8fe6b7a240e0ee7a57ceafc456e68e8297d8d814e06988593", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-026:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "c348e11ed68dcfeb5261e14bff46bd8dde6ee4658836b1824c7207d1a581e57d", "release_id": "026", "repository_url": "https://github.com/Unidata/MetPy", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_026", "title": "Restore isentropic interpolation for terrain-following model data", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-026:v0.1.0@sha256:46fadf320df6b6adca39a81c2e83a3f16f8fa486a2adfefdc56a0518edb5db45", "verifier_image_digest": "sha256:46fadf320df6b6adca39a81c2e83a3f16f8fa486a2adfefdc56a0518edb5db45", "verifier_image_id": "sha256:46fadf320df6b6adca39a81c2e83a3f16f8fa486a2adfefdc56a0518edb5db45", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-026:v0.1.0"} +{"base_commit": "9e59a111d201c1c3aee6db079fe1ea2c6a2d8ba8", "domain": "ai4science-nmr-structure-elucidation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-027:v0.1.0@sha256:a0b2b795f21ebf2107c72a04657c3f5dedf1ef816974bedf0e765e8f3d1feafe", "environment_image_digest": "sha256:a0b2b795f21ebf2107c72a04657c3f5dedf1ef816974bedf0e765e8f3d1feafe", "environment_image_id": "sha256:a0b2b795f21ebf2107c72a04657c3f5dedf1ef816974bedf0e765e8f3d1feafe", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-027:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "79aadb8a7614f24d2868a1e8d9bf303ea506294b937f5a76ae98a02cbe4eeb68", "release_id": "027", "repository_url": "https://github.com/little1d/NMRTrans", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_027", "title": "Restore consistent NMR peak-set encoding under batch padding", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-027:v0.1.0@sha256:7553e8b9d60ddba9b86ee74d4f200929dfaed195b79a7e29efa3713f93e5a656", "verifier_image_digest": "sha256:7553e8b9d60ddba9b86ee74d4f200929dfaed195b79a7e29efa3713f93e5a656", "verifier_image_id": "sha256:7553e8b9d60ddba9b86ee74d4f200929dfaed195b79a7e29efa3713f93e5a656", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-027:v0.1.0"} +{"base_commit": "cbedc58e2127d912895defa95c65a623fa2f67d6", "domain": "single-cell-perturbation-response-modeling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-028:v0.1.0@sha256:c9ed2829a11ec5fc42b54d30bbcd8e2b51f82061a7c0476564d073ed66f3d915", "environment_image_digest": "sha256:c9ed2829a11ec5fc42b54d30bbcd8e2b51f82061a7c0476564d073ed66f3d915", "environment_image_id": "sha256:c9ed2829a11ec5fc42b54d30bbcd8e2b51f82061a7c0476564d073ed66f3d915", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-028:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "5f00f99c550a360506e23c8b91f7e29ba400088a732e3a061ece166440d04ef4", "release_id": "028", "repository_url": "https://github.com/JialongJiang/DSPIN", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_028", "title": "Repair control-referenced relative responses in a single-cell perturbation workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-028:v0.1.0@sha256:4c4ec965b94251ab9b163fe1294a4e863dc5a2b0a005dabb51dbaa5a5d6c95fe", "verifier_image_digest": "sha256:4c4ec965b94251ab9b163fe1294a4e863dc5a2b0a005dabb51dbaa5a5d6c95fe", "verifier_image_id": "sha256:4c4ec965b94251ab9b163fe1294a4e863dc5a2b0a005dabb51dbaa5a5d6c95fe", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-028:v0.1.0"} +{"base_commit": "fb0e7f522d714d76eec42f5fd428eb7942a11dde", "domain": "genomics-sequence-annotation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-029:v0.1.0@sha256:ef7e5c2b118cfb635fe2a38a96a3e74a8b8ccad4f45c4420a262224cde2aed3d", "environment_image_digest": "sha256:ef7e5c2b118cfb635fe2a38a96a3e74a8b8ccad4f45c4420a262224cde2aed3d", "environment_image_id": "sha256:ef7e5c2b118cfb635fe2a38a96a3e74a8b8ccad4f45c4420a262224cde2aed3d", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-029:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "c77a56a3a0f491a8d8323bc49a7f61646abddac45c3db18dc37baa8d3722dc95", "release_id": "029", "repository_url": "https://github.com/biopython/biopython", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_029", "title": "Restore annotation equivalence after circular-record orientation normalization", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-029:v0.1.0@sha256:bf60c02145e60447a42aa0e8205c11851bafae01fb38da1969c8ca9697ab119f", "verifier_image_digest": "sha256:bf60c02145e60447a42aa0e8205c11851bafae01fb38da1969c8ca9697ab119f", "verifier_image_id": "sha256:bf60c02145e60447a42aa0e8205c11851bafae01fb38da1969c8ca9697ab119f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-029:v0.1.0"} +{"base_commit": "585bb673c4aa222669c4b0d72ffeec3dbf092630", "domain": "crystallography-file-format-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-030:v0.1.0@sha256:78f08b2d5abbea8a230c26ba7870f472e7888a8a99bf8a7a860164bbd77f0e95", "environment_image_digest": "sha256:78f08b2d5abbea8a230c26ba7870f472e7888a8a99bf8a7a860164bbd77f0e95", "environment_image_id": "sha256:78f08b2d5abbea8a230c26ba7870f472e7888a8a99bf8a7a860164bbd77f0e95", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-030:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "fe8a693f065061ef2c9dbeb378deabfb408a0b54cad15bb727f0dbfc6d7e05da", "release_id": "030", "repository_url": "https://github.com/materialsproject/pymatgen", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_030", "title": "Repair format-conformant SHELX/AIRSS .res export in a crystallographic IO workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-030:v0.1.0@sha256:c2f2d33b4f3eac896abeb9dff00a81386b8e763f5aea124aedac4b9f6a8e9a60", "verifier_image_digest": "sha256:c2f2d33b4f3eac896abeb9dff00a81386b8e763f5aea124aedac4b9f6a8e9a60", "verifier_image_id": "sha256:c2f2d33b4f3eac896abeb9dff00a81386b8e763f5aea124aedac4b9f6a8e9a60", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-030:v0.1.0"} +{"base_commit": "3b3f3afb0e46a6ac6b97e6ecfbc2414497ea9a3a", "domain": "neurophysiology-signal-processing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-031:v0.1.0@sha256:d4140ef5964abbe2f30c6df0ce3348263ae7696d2e1bd45fa022a63165439437", "environment_image_digest": "sha256:d4140ef5964abbe2f30c6df0ce3348263ae7696d2e1bd45fa022a63165439437", "environment_image_id": "sha256:d4140ef5964abbe2f30c6df0ce3348263ae7696d2e1bd45fa022a63165439437", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-031:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "77349ebbd1e954ff2b5cd76d5fb062c00be0eeb1aa4880537983797490a64c78", "release_id": "031", "repository_url": "https://github.com/mne-tools/mne-python", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_031", "title": "Restore documented average-reference semantics for mixed-modality recordings", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-031:v0.1.0@sha256:11198de9a24cc54ef854642f96d3106d3e50e5e69f86e3d1e88da26254cea4be", "verifier_image_digest": "sha256:11198de9a24cc54ef854642f96d3106d3e50e5e69f86e3d1e88da26254cea4be", "verifier_image_id": "sha256:11198de9a24cc54ef854642f96d3106d3e50e5e69f86e3d1e88da26254cea4be", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-031:v0.1.0"} +{"base_commit": "d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98", "domain": "molecular-simulation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.0@sha256:1f1e710ff121fc590e1a1bcc0d6e35b6b20488b67b4ff2ea9e088c5ed5b3c617", "environment_image_digest": "sha256:1f1e710ff121fc590e1a1bcc0d6e35b6b20488b67b4ff2ea9e088c5ed5b3c617", "environment_image_id": "sha256:1f1e710ff121fc590e1a1bcc0d6e35b6b20488b67b4ff2ea9e088c5ed5b3c617", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "license.rst", "public_payload_sha256": "c180d4dc2be2dfbf776c6ea49cf291b717bb320516711ed8c8e4ab15dd0c0947", "release_id": "032", "repository_url": "https://github.com/openmm/openmm", "schema_version": 1, "source_license": "LGPL-family", "status": "dockerhub-published", "task_path": "tasks/task_032", "title": "Repair an inconsistent peptide energy after topology import", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.0@sha256:b33b42c56351b94f8e871921d9c51b3edba1f2317186ec51db8d0e7a49c1a0c4", "verifier_image_digest": "sha256:b33b42c56351b94f8e871921d9c51b3edba1f2317186ec51db8d0e7a49c1a0c4", "verifier_image_id": "sha256:b33b42c56351b94f8e871921d9c51b3edba1f2317186ec51db8d0e7a49c1a0c4", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.0"} +{"base_commit": "802cd37e9dc6abb52f30d84bb422b6ee15493fc9", "domain": "periodic-electronic-structure", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.0@sha256:44845aa0036b539e82cf042b31b278ab3e4dba56dd5d0abe1da426466a4d1c49", "environment_image_digest": "sha256:44845aa0036b539e82cf042b31b278ab3e4dba56dd5d0abe1da426466a4d1c49", "environment_image_id": "sha256:44845aa0036b539e82cf042b31b278ab3e4dba56dd5d0abe1da426466a4d1c49", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "59642aa8102cab97c1cedeac4a85d537656eab0ffeeb1250b30f97cf87faeb01", "release_id": "033", "repository_url": "https://github.com/pyscf/pyscf", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_033", "title": "Repair inconsistent energies across equivalent periodic representations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.0@sha256:02bd79559d1d6180dbcc19db90b316567798ba192fed39d51bc1f5c20adca064", "verifier_image_digest": "sha256:02bd79559d1d6180dbcc19db90b316567798ba192fed39d51bc1f5c20adca064", "verifier_image_id": "sha256:02bd79559d1d6180dbcc19db90b316567798ba192fed39d51bc1f5c20adca064", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.0"} +{"base_commit": "56d78e1acbdc9c1493caef17a34777931430f3bf", "domain": "stochastic-numerical-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.0@sha256:7059fdb21c925acab3c847faecece53d294086745e3f4e373473aab44b180edb", "environment_image_digest": "sha256:7059fdb21c925acab3c847faecece53d294086745e3f4e373473aab44b180edb", "environment_image_id": "sha256:7059fdb21c925acab3c847faecece53d294086745e3f4e373473aab44b180edb", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "889b0227a9c51d2b5bc30a32e135fcd05155e4d6cf5be68637bd012d34e8a7b5", "release_id": "034", "repository_url": "https://github.com/patrick-kidger/diffrax", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_034", "title": "Repair an inconsistent stochastic trajectory calculation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.0@sha256:232f4698c8988c515640b1225e1a25b275b3a3bcc0658c08697e37dfdb740a64", "verifier_image_digest": "sha256:232f4698c8988c515640b1225e1a25b275b3a3bcc0658c08697e37dfdb740a64", "verifier_image_id": "sha256:232f4698c8988c515640b1225e1a25b275b3a3bcc0658c08697e37dfdb740a64", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.0"} +{"base_commit": "c4e7f1146556f4b038bfbfc0912ac3843e844c55", "domain": "numerical-analysis-and-chemical-kinetics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.0@sha256:ade094c8b37641bf91ee9e09c12b5dcd6ff0f0251613c73c73b7e0f0109a170f", "environment_image_digest": "sha256:ade094c8b37641bf91ee9e09c12b5dcd6ff0f0251613c73c73b7e0f0109a170f", "environment_image_id": "sha256:ade094c8b37641bf91ee9e09c12b5dcd6ff0f0251613c73c73b7e0f0109a170f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "ff1983b2f775b0cea2096459dc5b8086b20e8d15b1ccf43f352e78f791c87766", "release_id": "035", "repository_url": "https://github.com/scipy/scipy", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_035", "title": "Repair an incomplete stiff-kinetics campaign", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.0@sha256:5bdf5079219dab4d67b255724888338b3d5602d4dd24df83723b27a699f578b9", "verifier_image_digest": "sha256:5bdf5079219dab4d67b255724888338b3d5602d4dd24df83723b27a699f578b9", "verifier_image_id": "sha256:5bdf5079219dab4d67b255724888338b3d5602d4dd24df83723b27a699f578b9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.0"} +{"base_commit": "439ea290f9a75c3cbd66d79333fed475f92aeb00", "domain": "computational-oceanography-and-spherical-geometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-036:v0.1.0@sha256:85db05aa83f3c2408533a237892331b08af27cdbc4a380e772eb5810fcd7c8d4", "environment_image_digest": "sha256:85db05aa83f3c2408533a237892331b08af27cdbc4a380e772eb5810fcd7c8d4", "environment_image_id": "sha256:85db05aa83f3c2408533a237892331b08af27cdbc4a380e772eb5810fcd7c8d4", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-036:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.md", "public_payload_sha256": "29dadb61548cf625beadcef5620a0e20a03d97d48b09ac7ad259548e4e2aaf1f", "release_id": "036", "repository_url": "https://github.com/Parcels-code/Parcels", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_036", "title": "Repair inconsistent sampling on a spherical curvilinear ocean grid", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.0@sha256:c0bab454078f7f8f8fb3474977e6be7f057aecb040e936a92d95ececdb091d29", "verifier_image_digest": "sha256:c0bab454078f7f8f8fb3474977e6be7f057aecb040e936a92d95ececdb091d29", "verifier_image_id": "sha256:c0bab454078f7f8f8fb3474977e6be7f057aecb040e936a92d95ececdb091d29", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.0"} +{"base_commit": "5d10c5b8bb09576e24e9d316da1019fb909d7d32", "domain": "medical-imaging", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.0@sha256:526eaf4f7800f715fda24e8c515162d91a2e89d46c6a7228fa9f13706e6f3c63", "environment_image_digest": "sha256:526eaf4f7800f715fda24e8c515162d91a2e89d46c6a7228fa9f13706e6f3c63", "environment_image_id": "sha256:526eaf4f7800f715fda24e8c515162d91a2e89d46c6a7228fa9f13706e6f3c63", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "COPYING", "public_payload_sha256": "fb9bb76d90c34bd297b4e977cb1d92ba7dee1a873395301d008ff466d43481a8", "release_id": "037", "repository_url": "https://github.com/nipy/nibabel", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_037", "title": "Repair an inconsistent multiframe MR reconstruction", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.0@sha256:adcfa1988d7786568e96018c91ca4d73f12c409e2d81af2fb416e868ff304881", "verifier_image_digest": "sha256:adcfa1988d7786568e96018c91ca4d73f12c409e2d81af2fb416e868ff304881", "verifier_image_id": "sha256:adcfa1988d7786568e96018c91ca4d73f12c409e2d81af2fb416e868ff304881", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.0"} +{"base_commit": "", "domain": "computational-crystallography-and-materials-symmetry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.0@sha256:41ba231d44d2445f621ed17c3a5f881a41941b79d2f297b49bd66e9e8145a8fb", "environment_image_digest": "sha256:41ba231d44d2445f621ed17c3a5f881a41941b79d2f297b49bd66e9e8145a8fb", "environment_image_id": "sha256:41ba231d44d2445f621ed17c3a5f881a41941b79d2f297b49bd66e9e8145a8fb", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "c", "license_source": "COPYING", "public_payload_sha256": "74958da0acd4cffeaf90164cd4b44220fdd35e8c87441cd262c467a7c377f585", "release_id": "038", "repository_url": "https://github.com/spglib/spglib", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_038", "title": "Repair inconsistent crystal classification across equivalent representations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.0@sha256:511507351b10162103c5f48282142f8b767230784456e9952c943657beddb7a9", "verifier_image_digest": "sha256:511507351b10162103c5f48282142f8b767230784456e9952c943657beddb7a9", "verifier_image_id": "sha256:511507351b10162103c5f48282142f8b767230784456e9952c943657beddb7a9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.0"} +{"base_commit": "546bc11054cff5e12808c7122b3e8b38f1ef555f", "domain": "earth-surface-dynamics-and-river-sediment-transport", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-039:v0.1.0@sha256:3ed83c8573077b62d1c7b2a498bc9dca044d772a6f930ef5c570feccbbb0b43f", "environment_image_digest": "sha256:3ed83c8573077b62d1c7b2a498bc9dca044d772a6f930ef5c570feccbbb0b43f", "environment_image_id": "sha256:3ed83c8573077b62d1c7b2a498bc9dca044d772a6f930ef5c570feccbbb0b43f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-039:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.md", "public_payload_sha256": "547cced3cbcc0c6f3f32398b0836cd8d6b2d199e9cd64dcae1c4fc689ada6105", "release_id": "039", "repository_url": "https://github.com/landlab/landlab", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_039", "title": "Repair a river-network sediment transport calculation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.0@sha256:f6e72d3a31b0d1321a608fb1f33ddbdd6ca30eb0da862eebce3590b27c4650a4", "verifier_image_digest": "sha256:f6e72d3a31b0d1321a608fb1f33ddbdd6ca30eb0da862eebce3590b27c4650a4", "verifier_image_id": "sha256:f6e72d3a31b0d1321a608fb1f33ddbdd6ca30eb0da862eebce3590b27c4650a4", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.0"} +{"base_commit": "3cc6605c54b0f6062c1a139ece2ecf69cddc829", "domain": "computational-electromagnetics-and-geophysical-forward-modeling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-040:v0.1.0@sha256:a052d87111542518755781c8d49a50de5d7ed6e3f75b2132fc1d8418dba89e85", "environment_image_digest": "sha256:a052d87111542518755781c8d49a50de5d7ed6e3f75b2132fc1d8418dba89e85", "environment_image_id": "sha256:a052d87111542518755781c8d49a50de5d7ed6e3f75b2132fc1d8418dba89e85", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-040:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "26565f5e7771aa455a68dbcf6a23d0746fd3842931499db02f8bfb93a0dc074c", "release_id": "040", "repository_url": "https://github.com/simpeg/simpeg", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_040", "title": "Restore consistent magnetic-dipole electromagnetic predictions", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.0@sha256:2f4ad5a63994c9ff62b9ad0b21e24da4a2130a337f20839ff97dccd4016aebd6", "verifier_image_digest": "sha256:2f4ad5a63994c9ff62b9ad0b21e24da4a2130a337f20839ff97dccd4016aebd6", "verifier_image_id": "sha256:2f4ad5a63994c9ff62b9ad0b21e24da4a2130a337f20839ff97dccd4016aebd6", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.0"} +{"base_commit": "470d13491dd2c2a9440b3c657af33373ca8d47c1", "domain": "space-physics-coordinate-systems", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-041:v0.1.0@sha256:2d7000ea85b0ce1a1df141d46ccce61e3edcd53e86e9d5136a1b26096799aa77", "environment_image_digest": "sha256:2d7000ea85b0ce1a1df141d46ccce61e3edcd53e86e9d5136a1b26096799aa77", "environment_image_id": "sha256:2d7000ea85b0ce1a1df141d46ccce61e3edcd53e86e9d5136a1b26096799aa77", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-041:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "a591ac607343a9b65f004f2bb3c8f0ed66be521758113f17975e7e639cd5a232", "release_id": "041", "repository_url": "https://github.com/sunpy/sunpy", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_041", "title": "Repair an inconsistent near-Earth vector conversion", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-041:v0.1.0@sha256:7e3b7b1a0ab181ed010a5bdb2bde149d115188f96418edea77331caf6e20b00a", "verifier_image_digest": "sha256:7e3b7b1a0ab181ed010a5bdb2bde149d115188f96418edea77331caf6e20b00a", "verifier_image_id": "sha256:7e3b7b1a0ab181ed010a5bdb2bde149d115188f96418edea77331caf6e20b00a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-041:v0.1.0"} +{"base_commit": "c961a1507a83b9dab24ccce12ab92a53b30359d7", "domain": "solar-physics-scientific-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-042:v0.1.0@sha256:38b71d095fa30606c636c19aa2145fde1f74993809cff837b6da5e5597895181", "environment_image_digest": "sha256:38b71d095fa30606c636c19aa2145fde1f74993809cff837b6da5e5597895181", "environment_image_id": "sha256:38b71d095fa30606c636c19aa2145fde1f74993809cff837b6da5e5597895181", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-042:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "2b237d17e4f9409c1a9f77b47e60d782df91ca4aa81205bb312c597781819fe9", "release_id": "042", "repository_url": "https://github.com/sunpy/sunpy", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_042", "title": "Repair an inconsistent solar-coordinate archive workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-042:v0.1.0@sha256:133f5154d63c2614e6e754d68ca91bef2a8ea4af1210de147a794c570c06d8f9", "verifier_image_digest": "sha256:133f5154d63c2614e6e754d68ca91bef2a8ea4af1210de147a794c570c06d8f9", "verifier_image_id": "sha256:133f5154d63c2614e6e754d68ca91bef2a8ea4af1210de147a794c570c06d8f9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-042:v0.1.0"} +{"base_commit": "f2360a52bc77ec917aa07ce0cf6128dc7687ea64", "domain": "porous-media-image-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-043:v0.1.0@sha256:3e82e859587bdd681272bac9ecb4a415e77fe9f2160afe76a9f0bc641cf7096f", "environment_image_digest": "sha256:3e82e859587bdd681272bac9ecb4a415e77fe9f2160afe76a9f0bc641cf7096f", "environment_image_id": "sha256:3e82e859587bdd681272bac9ecb4a415e77fe9f2160afe76a9f0bc641cf7096f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-043:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "dc0ef803237a7f1beab83b5eeaa8fe68fb3c39a553bb28ce9acde348e912b0be", "release_id": "043", "repository_url": "https://github.com/PMEAL/porespy", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_043", "title": "Repair an inconsistent porous-volume characterization", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-043:v0.1.0@sha256:c9a3a93ea8eca723583d471b478202553f011baaaee8411063a1aabec7c1651e", "verifier_image_digest": "sha256:c9a3a93ea8eca723583d471b478202553f011baaaee8411063a1aabec7c1651e", "verifier_image_id": "sha256:c9a3a93ea8eca723583d471b478202553f011baaaee8411063a1aabec7c1651e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-043:v0.1.0"} +{"base_commit": "a42d7a92dd9a2c63240c8ccb6f240e5c3c42de46", "domain": "electrochemical-battery-modeling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-044:v0.1.0@sha256:513707a2950f87958370d940ca542603b5a4b83443e5c712c916abd1cc37eeb0", "environment_image_digest": "sha256:513707a2950f87958370d940ca542603b5a4b83443e5c712c916abd1cc37eeb0", "environment_image_id": "sha256:513707a2950f87958370d940ca542603b5a4b83443e5c712c916abd1cc37eeb0", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-044:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "735b90c38de21e5576b5f999f18e125f63adcef3b45423c2115fea41665d1bff", "release_id": "044", "repository_url": "https://github.com/pybamm-team/PyBaMM", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_044", "title": "Repair inconsistent lithium-ion discharge predictions", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-044:v0.1.0@sha256:61f22d5c7943225471bcdeed86f32470249eaefe57453989c3af1314811f3671", "verifier_image_digest": "sha256:61f22d5c7943225471bcdeed86f32470249eaefe57453989c3af1314811f3671", "verifier_image_id": "sha256:61f22d5c7943225471bcdeed86f32470249eaefe57453989c3af1314811f3671", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-044:v0.1.0"} +{"base_commit": "3831b46accbff35f06e4ed3831600d71d5d8da18", "domain": "computational-oceanography-finite-volume-grids", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.0@sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0", "environment_image_digest": "sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0", "environment_image_id": "sha256:bdf7ecf2141952410df47d69d36d45b662047a720f6ff26ceeef1c33486b3fa0", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-045:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "f7e001f18305b0978520b26cb621a76014f6e5d030992ae0bc4f03f76f4ad82b", "release_id": "045", "repository_url": "https://github.com/xgcm/xgcm", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_045", "title": "Repair inconsistent finite-volume operations on a connected multi-face grid", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.0@sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20", "verifier_image_digest": "sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20", "verifier_image_id": "sha256:a3cd9863966518102f06bbf956ddfa7b6578debf5bcf92ccfbe0d1252c3a4b20", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-045:v0.1.0"} +{"base_commit": "79b8f9bb9d122bd0176bb37f48f0fd4926eb9afb", "domain": "astrophysical-xray-spectral-timing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.0@sha256:5113cc358a6f5df25d7b7c09e02cb5b9bd9964248f2d51ead28308c90febd15d", "environment_image_digest": "sha256:5113cc358a6f5df25d7b7c09e02cb5b9bd9964248f2d51ead28308c90febd15d", "environment_image_id": "sha256:5113cc358a6f5df25d7b7c09e02cb5b9bd9964248f2d51ead28308c90febd15d", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-046:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "f358c234dfb9d428b07da73956df43b4e327aa28922de1f7380efd56563d9435", "release_id": "046", "repository_url": "https://github.com/StingraySoftware/stingray", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_046", "title": "Repair an inconsistent X-ray spectral-timing analysis", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.0@sha256:73e5bc8338655f2d15e7dd871c42544ec9e7d16af3f24e6ecb69030f71edefbf", "verifier_image_digest": "sha256:73e5bc8338655f2d15e7dd871c42544ec9e7d16af3f24e6ecb69030f71edefbf", "verifier_image_id": "sha256:73e5bc8338655f2d15e7dd871c42544ec9e7d16af3f24e6ecb69030f71edefbf", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-046:v0.1.0"} +{"base_commit": "a6dae181dbcf76fc738fc7fbc03d7de0a6c22634", "domain": "microwave-network-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.0@sha256:a94de21354f66e978943e80946546812dbf404c4468baf12a84d23c34720e3d6", "environment_image_digest": "sha256:a94de21354f66e978943e80946546812dbf404c4468baf12a84d23c34720e3d6", "environment_image_id": "sha256:a94de21354f66e978943e80946546812dbf404c4468baf12a84d23c34720e3d6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-047:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "fa85f0105f3ab7a955fd95d203fbe54b220508b0f1d04065e60bc9bb1aac505b", "release_id": "047", "repository_url": "https://github.com/scikit-rf/scikit-rf", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_047", "title": "Repair an inconsistent broadband microwave composite", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.0@sha256:8529979be314893a77f9c51cf5d2c0d6266d6f9df10fb33d332eb242f38953db", "verifier_image_digest": "sha256:8529979be314893a77f9c51cf5d2c0d6266d6f9df10fb33d332eb242f38953db", "verifier_image_id": "sha256:8529979be314893a77f9c51cf5d2c0d6266d6f9df10fb33d332eb242f38953db", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-047:v0.1.0"} +{"base_commit": "", "domain": "computational-thermodynamics-calphad", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.0@sha256:38893d5510a1f2c722c39dc851c1f4c0698c52602753e0e9a0531ea466ee9a4b", "environment_image_digest": "sha256:38893d5510a1f2c722c39dc851c1f4c0698c52602753e0e9a0531ea466ee9a4b", "environment_image_id": "sha256:38893d5510a1f2c722c39dc851c1f4c0698c52602753e0e9a0531ea466ee9a4b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-048:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "5a22842c3c77c8730dca22e3e922c35f6b0018b981a092d0ef6752cd92855917", "release_id": "048", "repository_url": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_048", "title": "Repair an inconsistent alloy equilibrium assessment", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.0@sha256:66acaa226780910a92acf5076beb045a8f521ec7f222277fb4fa1e37296d46da", "verifier_image_digest": "sha256:66acaa226780910a92acf5076beb045a8f521ec7f222277fb4fa1e37296d46da", "verifier_image_id": "sha256:66acaa226780910a92acf5076beb045a8f521ec7f222277fb4fa1e37296d46da", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-048:v0.1.0"} +{"base_commit": "a9f8256c1b4b48ac73f3df35b3e570993501b333", "domain": "finite-difference-stochastic-partial-differential-equations", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-049:v0.1.0@sha256:5d2c93c90c190f69ed1f8bb05014f34d900f4c68ca483cf428399caa5c80f339", "environment_image_digest": "sha256:5d2c93c90c190f69ed1f8bb05014f34d900f4c68ca483cf428399caa5c80f339", "environment_image_id": "sha256:5d2c93c90c190f69ed1f8bb05014f34d900f4c68ca483cf428399caa5c80f339", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-049:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "2102d49be26585ee8217bb375347adb25a008f36d62c783554d2a4e930489433", "release_id": "049", "repository_url": "https://github.com/zwicker-group/py-pde", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_049", "title": "Restore consistent stochastic-field behavior on nonuniform grids", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-049:v0.1.0@sha256:7a8babe7c3e8d6121a1fff866e0e6ae5871de381c8e759897a4b40244b6b76b6", "verifier_image_digest": "sha256:7a8babe7c3e8d6121a1fff866e0e6ae5871de381c8e759897a4b40244b6b76b6", "verifier_image_id": "sha256:7a8babe7c3e8d6121a1fff866e0e6ae5871de381c8e759897a4b40244b6b76b6", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-049:v0.1.0"} +{"base_commit": "", "domain": "quantum-information-many-body-tensor-networks", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-050:v0.1.0@sha256:6f1421184ec5bd40580757a5b684b53519b2fb9044b900320b822fbffcc3ed7d", "environment_image_digest": "sha256:6f1421184ec5bd40580757a5b684b53519b2fb9044b900320b822fbffcc3ed7d", "environment_image_id": "sha256:6f1421184ec5bd40580757a5b684b53519b2fb9044b900320b822fbffcc3ed7d", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-050:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "860d67a6ca8a5631f9b564aaf11e06bc1bec2dc388f996ce265d1fd31cd00771", "release_id": "050", "repository_url": "https://github.com/jcmgray/quimb", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_050", "title": "Repair an inconsistent tensor-network state calculation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-050:v0.1.0@sha256:74fe72ef3a7fe8749cbc7de11f80303278c83e89adfc60dfa00338059b3b0561", "verifier_image_digest": "sha256:74fe72ef3a7fe8749cbc7de11f80303278c83e89adfc60dfa00338059b3b0561", "verifier_image_id": "sha256:74fe72ef3a7fe8749cbc7de11f80303278c83e89adfc60dfa00338059b3b0561", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-050:v0.1.0"} +{"base_commit": "7f7d91474509acb597071eb789661b1f0cc304ca", "domain": "planetary-geodesy-and-geomagnetism", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-051:v0.1.0@sha256:8235525555c16d48f6e12019ba6239fc99569358183a444cb0251b72dfd99de4", "environment_image_digest": "sha256:8235525555c16d48f6e12019ba6239fc99569358183a444cb0251b72dfd99de4", "environment_image_id": "sha256:8235525555c16d48f6e12019ba6239fc99569358183a444cb0251b72dfd99de4", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-051:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "fortran", "license_source": "LICENSE.txt", "public_payload_sha256": "623104b002867b3f7a57e24a85ce03cc84c897607d507cfafe5d93a423415325", "release_id": "051", "repository_url": "https://github.com/SHTOOLS/SHTOOLS", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_051", "title": "Repair an inconsistent planetary gradient-tensor calculation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-051:v0.1.0@sha256:cc4ffda89baf3ef1fed6903ff06b194b1ef2f992413574aa6032451e09e653fb", "verifier_image_digest": "sha256:cc4ffda89baf3ef1fed6903ff06b194b1ef2f992413574aa6032451e09e653fb", "verifier_image_id": "sha256:cc4ffda89baf3ef1fed6903ff06b194b1ef2f992413574aa6032451e09e653fb", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-051:v0.1.0"} +{"base_commit": "11e5c6ae26207a60e223d46473ac364b352ac982", "domain": "computational-materials-finite-volume-pde", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-052:v0.1.0@sha256:7f5ea002c9963e322dd2ffc1b1c3d2669b511a74391f4ace0d1151207efec376", "environment_image_digest": "sha256:7f5ea002c9963e322dd2ffc1b1c3d2669b511a74391f4ace0d1151207efec376", "environment_image_id": "sha256:7f5ea002c9963e322dd2ffc1b1c3d2669b511a74391f4ace0d1151207efec376", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-052:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "3ee5dcafe311d965bdf99f2208a383202baec7279b4668f0486fa9efabaf78fe", "release_id": "052", "repository_url": "https://github.com/usnistgov/fipy", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_052", "title": "Restore a nonuniform finite-volume phase-field workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-052:v0.1.0@sha256:d0fa3032421f94d1f0e43986f33125ab48af349eb26e5b68a1e86b372342b7bf", "verifier_image_digest": "sha256:d0fa3032421f94d1f0e43986f33125ab48af349eb26e5b68a1e86b372342b7bf", "verifier_image_id": "sha256:d0fa3032421f94d1f0e43986f33125ab48af349eb26e5b68a1e86b372342b7bf", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-052:v0.1.0"} +{"base_commit": "18daff1d8b26002b02de526cc19b92a9a4907f89", "domain": "medical-image-segmentation-geometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-053:v0.1.0@sha256:9763fa42d9a9e025dbb4470db64ad48b4d21549219f0938e746aadb5aa77dcc3", "environment_image_digest": "sha256:9763fa42d9a9e025dbb4470db64ad48b4d21549219f0938e746aadb5aa77dcc3", "environment_image_id": "sha256:9763fa42d9a9e025dbb4470db64ad48b4d21549219f0938e746aadb5aa77dcc3", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-053:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "1919cce5250d098fee5cb4ebead74a679efde0904619518a436697b3dec04030", "release_id": "053", "repository_url": "https://github.com/Project-MONAI/MONAI", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_053", "title": "Repair a representation-dependent physical surface Dice workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-053:v0.1.0@sha256:10656f4e5cfb69d613c2442050f34691fe3264e4d03ee6bfa2f98d3529098ab6", "verifier_image_digest": "sha256:10656f4e5cfb69d613c2442050f34691fe3264e4d03ee6bfa2f98d3529098ab6", "verifier_image_id": "sha256:10656f4e5cfb69d613c2442050f34691fe3264e4d03ee6bfa2f98d3529098ab6", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-053:v0.1.0"} +{"base_commit": "9f27ba89d8c485e6a2fa2db4756e3fe3aec05151", "domain": "mass-spectrometry-spectral-similarity", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-054:v0.1.0@sha256:a9e8dedaf3d63ada395f497d35092465a56a34c0862794ee20216f46d70ec98c", "environment_image_digest": "sha256:a9e8dedaf3d63ada395f497d35092465a56a34c0862794ee20216f46d70ec98c", "environment_image_id": "sha256:a9e8dedaf3d63ada395f497d35092465a56a34c0862794ee20216f46d70ec98c", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-054:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "c1a33e4bda2aaf121eb0df8edbfb0c902ceaf32766cdc4a96ff9ef2aba6390a1", "release_id": "054", "repository_url": "https://github.com/matchms/matchms", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_054", "title": "Repair an inconsistent tandem-mass spectral similarity workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-054:v0.1.0@sha256:60b1bd49880f5e1bab44cd13d5986b57b055f1ed3b30ff19801ff3232f93cfda", "verifier_image_digest": "sha256:60b1bd49880f5e1bab44cd13d5986b57b055f1ed3b30ff19801ff3232f93cfda", "verifier_image_id": "sha256:60b1bd49880f5e1bab44cd13d5986b57b055f1ed3b30ff19801ff3232f93cfda", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-054:v0.1.0"} +{"base_commit": "0613ba1ba86fd7ae79e9d89c8ffd24004a891aee", "domain": "astronomical-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-055:v0.1.0@sha256:74325f6a3477680f5302abf9e5fd622b90be8d28ca9e01b87697b8cf480dba53", "environment_image_digest": "sha256:74325f6a3477680f5302abf9e5fd622b90be8d28ca9e01b87697b8cf480dba53", "environment_image_id": "sha256:74325f6a3477680f5302abf9e5fd622b90be8d28ca9e01b87697b8cf480dba53", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-055:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "900f504762e2ea9497cc7f4600e112e0a84757ba37e1c3403073fceb8c2ab4ad", "release_id": "055", "repository_url": "https://github.com/astropy/specutils", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_055", "title": "Restore a scientific template-comparison workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-055:v0.1.0@sha256:f1b514a04de8a991bbe7af6591cdf6a260f6a89afa22105e90895e3529bd46d4", "verifier_image_digest": "sha256:f1b514a04de8a991bbe7af6591cdf6a260f6a89afa22105e90895e3529bd46d4", "verifier_image_id": "sha256:f1b514a04de8a991bbe7af6591cdf6a260f6a89afa22105e90895e3529bd46d4", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-055:v0.1.0"} +{"base_commit": "0583b33091b07229abe2027bccdc596ba3c5033b0", "domain": "astrodynamics-and-orbital-mechanics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-056:v0.1.0@sha256:2909a24d72bf5161604c65e846c94058d0318cb92e4b86b29a77aff46dea3a70", "environment_image_digest": "sha256:2909a24d72bf5161604c65e846c94058d0318cb92e4b86b29a77aff46dea3a70", "environment_image_id": "sha256:2909a24d72bf5161604c65e846c94058d0318cb92e4b86b29a77aff46dea3a70", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-056:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "COPYING", "public_payload_sha256": "0c40a39f1a705c60ae6088941ee2549c10a86b5886dbe1b9b6689b0557d68830", "release_id": "056", "repository_url": "https://github.com/poliastro/poliastro", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_056", "title": "Repair a physically inconsistent orbital history export", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-056:v0.1.0@sha256:3cf9ed1c78f08940105a8155526ab20272bdb2640eaf0f9af03526aac677887a", "verifier_image_digest": "sha256:3cf9ed1c78f08940105a8155526ab20272bdb2640eaf0f9af03526aac677887a", "verifier_image_id": "sha256:3cf9ed1c78f08940105a8155526ab20272bdb2640eaf0f9af03526aac677887a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-056:v0.1.0"} +{"base_commit": "b963d4f01290fef66cca714e4a53f4891096b69a", "domain": "molecular-dynamics-trajectory-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-057:v0.1.0@sha256:0a86aec644a934e46f0ebaaa25220b8fe0d792d942e15aab2dda03dae893eb80", "environment_image_digest": "sha256:0a86aec644a934e46f0ebaaa25220b8fe0d792d942e15aab2dda03dae893eb80", "environment_image_id": "sha256:0a86aec644a934e46f0ebaaa25220b8fe0d792d942e15aab2dda03dae893eb80", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-057:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "0274c5f903a8b34858e57c8d192eb528d3610c6be05065ef78c5ebbd27498b83", "release_id": "057", "repository_url": "https://github.com/mdtraj/mdtraj", "schema_version": 1, "source_license": "LGPL-2.1-family", "status": "dockerhub-published", "task_path": "tasks/task_057", "title": "Investigate a periodic trajectory-processing anomaly", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-057:v0.1.0@sha256:3a837ea554c65947e01e90be6998b561e6d5a0c64e6c29119e156026e4f5ce56", "verifier_image_digest": "sha256:3a837ea554c65947e01e90be6998b561e6d5a0c64e6c29119e156026e4f5ce56", "verifier_image_id": "sha256:3a837ea554c65947e01e90be6998b561e6d5a0c64e6c29119e156026e4f5ce56", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-057:v0.1.0"} +{"base_commit": "", "domain": "monte-carlo-particle-transport", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-cpp-task-058:v0.1.0@sha256:7e911bae59ef2a509e72cc8cc5454ae94d1fcf2cf560613de773aae3b419b78a", "environment_image_digest": "sha256:7e911bae59ef2a509e72cc8cc5454ae94d1fcf2cf560613de773aae3b419b78a", "environment_image_id": "sha256:7e911bae59ef2a509e72cc8cc5454ae94d1fcf2cf560613de773aae3b419b78a", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-cpp-task-058:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python-cpp", "license_source": "LICENSE", "public_payload_sha256": "b630748484220716e8abd0185080b07930f00d71b51c1cef8e052642220fc750", "release_id": "058", "repository_url": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_058", "title": "Repair a valid OpenMC fixed-source workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cpp-task-058:v0.1.0@sha256:e2b0260ac34ef381c86af8c808838ddb9a1ccc2cc4ece1b52c3cadf25625abfc", "verifier_image_digest": "sha256:e2b0260ac34ef381c86af8c808838ddb9a1ccc2cc4ece1b52c3cadf25625abfc", "verifier_image_id": "sha256:e2b0260ac34ef381c86af8c808838ddb9a1ccc2cc4ece1b52c3cadf25625abfc", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cpp-task-058:v0.1.0"} +{"base_commit": "e4e3ab682f0ff13460877624ecf068b9652ae071", "domain": "microscopy-image-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-059:v0.1.0@sha256:dec04a1b4fb9014d3f4f70f06966546d3d6055b56a3f1d4ffb8066152d8cff44", "environment_image_digest": "sha256:dec04a1b4fb9014d3f4f70f06966546d3d6055b56a3f1d4ffb8066152d8cff44", "environment_image_id": "sha256:dec04a1b4fb9014d3f4f70f06966546d3d6055b56a3f1d4ffb8066152d8cff44", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-059:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "901ed621baea7c793b6ec8f1278ce8a570ffd0d08cdef7aacda99e36258ae651", "release_id": "059", "repository_url": "https://github.com/scikit-image/scikit-image", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_059", "title": "Restore physical consistency in calibrated cell morphometry", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-059:v0.1.0@sha256:2dda66b63502d81c2e09a7b0311ca76b3796dc1cd28349f9ece060a35795c8b0", "verifier_image_digest": "sha256:2dda66b63502d81c2e09a7b0311ca76b3796dc1cd28349f9ece060a35795c8b0", "verifier_image_id": "sha256:2dda66b63502d81c2e09a7b0311ca76b3796dc1cd28349f9ece060a35795c8b0", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-059:v0.1.0"} +{"base_commit": "3fd3d97164c6e85c2897ce8b13ba6aace81c2811", "domain": "high-density-extracellular-electrophysiology", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-060:v0.1.0@sha256:61af28db733eec1188ad8b90a4a78404e88b7bfb17cf99800b543292c9545747", "environment_image_digest": "sha256:61af28db733eec1188ad8b90a4a78404e88b7bfb17cf99800b543292c9545747", "environment_image_id": "sha256:61af28db733eec1188ad8b90a4a78404e88b7bfb17cf99800b543292c9545747", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-060:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "d172cc3adb3c04d7f5cdcac22ceae69e26c0d3d3b429fd08a70725fbf50781c2", "release_id": "060", "repository_url": "https://github.com/SpikeInterface/spikeinterface", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_060", "title": "Restore a complete cross-band drift-correction recording", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-060:v0.1.0@sha256:d1a95a1456b922044d1cfa9156bf33ba40628a3115b2ff25b4d6b149dfd1f4bf", "verifier_image_digest": "sha256:d1a95a1456b922044d1cfa9156bf33ba40628a3115b2ff25b4d6b149dfd1f4bf", "verifier_image_id": "sha256:d1a95a1456b922044d1cfa9156bf33ba40628a3115b2ff25b4d6b149dfd1f4bf", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-060:v0.1.0"} +{"base_commit": "62a0d3f037024d4dcf67857fb83d392f2e099ec0", "domain": "astronomical-image-processing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-c-task-061:v0.1.0@sha256:a69139dfab9d10122d07187ba52e0218c8c3f8350e3d44926c5813c8700bbcbf", "environment_image_digest": "sha256:a69139dfab9d10122d07187ba52e0218c8c3f8350e3d44926c5813c8700bbcbf", "environment_image_id": "sha256:a69139dfab9d10122d07187ba52e0218c8c3f8350e3d44926c5813c8700bbcbf", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-c-task-061:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python-c", "license_source": "LICENSE", "public_payload_sha256": "3545f63f2d7b0f876e372badde8358dd51214f78bf0aa2e1a226547b0c480ce4", "release_id": "061", "repository_url": "https://github.com/astropy/reproject", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_061", "title": "Repair inconsistent celestial image representation in a mosaic", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-c-task-061:v0.1.0@sha256:c0c05b7f3e36a5a4ede6443d7ce6f26522e8ae09db9baf5b14c16741039a7e07", "verifier_image_digest": "sha256:c0c05b7f3e36a5a4ede6443d7ce6f26522e8ae09db9baf5b14c16741039a7e07", "verifier_image_id": "sha256:c0c05b7f3e36a5a4ede6443d7ce6f26522e8ae09db9baf5b14c16741039a7e07", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-c-task-061:v0.1.0"} +{"base_commit": "95b15d576f47923e1f200c0894915a8f46675291", "domain": "computational-materials-science", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-062:v0.1.0@sha256:71b7a7f56a39dc1f3fa7d2ee034dbde903e373cc231b6584e542bb1eac6d8e9c", "environment_image_digest": "sha256:71b7a7f56a39dc1f3fa7d2ee034dbde903e373cc231b6584e542bb1eac6d8e9c", "environment_image_id": "sha256:71b7a7f56a39dc1f3fa7d2ee034dbde903e373cc231b6584e542bb1eac6d8e9c", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-062:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "a848f093dd0e16bc9b440ab1cda38b126cdc559d1261b5acc095292febc7eaac", "release_id": "062", "repository_url": "https://github.com/materialsproject/atomate2", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_062", "title": "Repair an inconsistent archived elasticity workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-062:v0.1.0@sha256:b40392404273078f316aafdbee792923cdea10b8023ea733abe38ebb8ab5582a", "verifier_image_digest": "sha256:b40392404273078f316aafdbee792923cdea10b8023ea733abe38ebb8ab5582a", "verifier_image_id": "sha256:b40392404273078f316aafdbee792923cdea10b8023ea733abe38ebb8ab5582a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-062:v0.1.0"} +{"base_commit": "", "domain": "population-genetics-tree-sequence-statistics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-python-task-063:v0.1.0@sha256:77cb395977290ee08c9d9abd184bcb8d874d8b78a5d55119ad8832b912b58e7e", "environment_image_digest": "sha256:77cb395977290ee08c9d9abd184bcb8d874d8b78a5d55119ad8832b912b58e7e", "environment_image_id": "sha256:77cb395977290ee08c9d9abd184bcb8d874d8b78a5d55119ad8832b912b58e7e", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-python-task-063:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "c-python", "license_source": "LICENSE", "public_payload_sha256": "05453c091458a8e2993e55e7114290a7e6aace041b41c59d8adae6ad38a2b926", "release_id": "063", "repository_url": "https://github.com/tskit-dev/tskit", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_063", "title": "Repair inconsistent population-history estimates after archive curation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-python-task-063:v0.1.0@sha256:1f0346e1c5241487bb858955411ebf920e9bd53b37dcbb8aef37abd4c6dbe550", "verifier_image_digest": "sha256:1f0346e1c5241487bb858955411ebf920e9bd53b37dcbb8aef37abd4c6dbe550", "verifier_image_id": "sha256:1f0346e1c5241487bb858955411ebf920e9bd53b37dcbb8aef37abd4c6dbe550", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-python-task-063:v0.1.0"} +{"base_commit": "593f0d67cf6a76f4a047f9a4856125c05947cff4", "domain": "computational-chemistry-scientific-data-parsing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-064:v0.1.0@sha256:fce98569a3f9c8039892d8411355e49e07633af201083c67501c8fb69f9844a1", "environment_image_digest": "sha256:fce98569a3f9c8039892d8411355e49e07633af201083c67501c8fb69f9844a1", "environment_image_id": "sha256:fce98569a3f9c8039892d8411355e49e07633af201083c67501c8fb69f9844a1", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-064:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "0b96d317b1b43ecc2a8d1727fd30caf20ac76ad01657eb178e8c18394806b734", "release_id": "064", "repository_url": "https://github.com/cclib/cclib", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_064", "title": "Repair inconsistent molecular-energy interpretation in a quantum-chemistry log parser", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-064:v0.1.0@sha256:b5b5a01003841af0fd902d84d9b78cc6208d641b22503bff9c325de16c113dbb", "verifier_image_digest": "sha256:b5b5a01003841af0fd902d84d9b78cc6208d641b22503bff9c325de16c113dbb", "verifier_image_id": "sha256:b5b5a01003841af0fd902d84d9b78cc6208d641b22503bff9c325de16c113dbb", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-064:v0.1.0"} +{"base_commit": "c86781b8cbdeea8002c7846d37dc1250045146e6", "domain": "astrophysical hydrodynamics and particle-based field visualization", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-065:v0.1.0@sha256:5c8c8b8c130b06f1871f1c74a2b0ca0f453519e94d50b6cd3e08b9d873b7d3c9", "environment_image_digest": "sha256:5c8c8b8c130b06f1871f1c74a2b0ca0f453519e94d50b6cd3e08b9d873b7d3c9", "environment_image_id": "sha256:5c8c8b8c130b06f1871f1c74a2b0ca0f453519e94d50b6cd3e08b9d873b7d3c9", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-065:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "COPYING.txt", "public_payload_sha256": "05e8764a37e3a9fe27c6802af7806b2b394b54c801c88ee9f929e90102959500", "release_id": "065", "repository_url": "https://github.com/yt-project/yt", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_065", "title": "Repair inconsistent particle-field visualization results", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-065:v0.1.0@sha256:2ef10bcb562ab83a9b5641f22a91a4e4a607d231ea8f58194795cb4a324a5efe", "verifier_image_digest": "sha256:2ef10bcb562ab83a9b5641f22a91a4e4a607d231ea8f58194795cb4a324a5efe", "verifier_image_id": "sha256:2ef10bcb562ab83a9b5641f22a91a4e4a607d231ea8f58194795cb4a324a5efe", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-065:v0.1.0"} +{"base_commit": "0b569cdfad5e67f4aec3562bb26460020c7c7354", "domain": "earth-science-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-066:v0.1.0@sha256:16eacda2003745c9ea63286b07df5be4ba9bdf27b737761abf3ab0cfe8b6be34", "environment_image_digest": "sha256:16eacda2003745c9ea63286b07df5be4ba9bdf27b737761abf3ab0cfe8b6be34", "environment_image_id": "sha256:16eacda2003745c9ea63286b07df5be4ba9bdf27b737761abf3ab0cfe8b6be34", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-066:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "COPYING", "public_payload_sha256": "fbd0a732b640ea057c4f339c9c9de0d96c17f7e8a93a68e178f37df5471defc6", "release_id": "066", "repository_url": "https://github.com/SciTools/iris", "schema_version": 1, "source_license": "AGPL-family", "status": "dockerhub-published", "task_path": "tasks/task_066", "title": "Restore regional climate-model validation consistency", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-066:v0.1.0@sha256:bf551e3cb78adb7a896b69485af7688c98815988094971978b7b41a2ae89c548", "verifier_image_digest": "sha256:bf551e3cb78adb7a896b69485af7688c98815988094971978b7b41a2ae89c548", "verifier_image_id": "sha256:bf551e3cb78adb7a896b69485af7688c98815988094971978b7b41a2ae89c548", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-066:v0.1.0"} +{"base_commit": "d1e654cf59a5d5761f5586bca1102a1590ae6e32", "domain": "climate-fire-weather", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-067:v0.1.0@sha256:293c50d411ea2c322e9b62189e5bf325abbb814682b1eb4dabec9555d035c78e", "environment_image_digest": "sha256:293c50d411ea2c322e9b62189e5bf325abbb814682b1eb4dabec9555d035c78e", "environment_image_id": "sha256:293c50d411ea2c322e9b62189e5bf325abbb814682b1eb4dabec9555d035c78e", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-067:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "c92bab50be2064b2be6a92409c8b291f4c4187ddbe02bde1c154b45dc361c15d", "release_id": "067", "repository_url": "https://github.com/Ouranosinc/xclim", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_067", "title": "Repair a seasonal fire-weather state transition", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-067:v0.1.0@sha256:fbbdf79e55e67535ee836f497be5aaf61412c5fe68b6856959217589e144e71c", "verifier_image_digest": "sha256:fbbdf79e55e67535ee836f497be5aaf61412c5fe68b6856959217589e144e71c", "verifier_image_id": "sha256:fbbdf79e55e67535ee836f497be5aaf61412c5fe68b6856959217589e144e71c", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-067:v0.1.0"} +{"base_commit": "a4dde3f93c75dff09e9a1ddaf0db2e54c91ac5e3", "domain": "genomic-variant-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-068:v0.1.0@sha256:f08ff570bf57595b94e6fb3bc0f603e76d7b6de53f6c7c76199a099eee12fdd3", "environment_image_digest": "sha256:f08ff570bf57595b94e6fb3bc0f603e76d7b6de53f6c7c76199a099eee12fdd3", "environment_image_id": "sha256:f08ff570bf57595b94e6fb3bc0f603e76d7b6de53f6c7c76199a099eee12fdd3", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-068:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "c", "license_source": "LICENSE", "public_payload_sha256": "200dced78b8f36c974b68150c631e9247accbaf38a5b7ccea50c46cee503252a", "release_id": "068", "repository_url": "https://github.com/samtools/htslib", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_068", "title": "Restore biologically consistent retrieval from a VCF archive", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-068:v0.1.0@sha256:333ed6fc1e4953d3abe1517a2871c1a2fb19ca0996d8d91bca6406898dac57ad", "verifier_image_digest": "sha256:333ed6fc1e4953d3abe1517a2871c1a2fb19ca0996d8d91bca6406898dac57ad", "verifier_image_id": "sha256:333ed6fc1e4953d3abe1517a2871c1a2fb19ca0996d8d91bca6406898dac57ad", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-068:v0.1.0"} +{"base_commit": "ba2be42c714fffb6b62ea13e7ecfbecb5f4a4d9a", "domain": "genomics-contact-map-analysis", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-069:v0.1.0@sha256:104bacda92f0419c80454a4bd632d472b6ef53ac89c24c176266d226c3bfd7ba", "environment_image_digest": "sha256:104bacda92f0419c80454a4bd632d472b6ef53ac89c24c176266d226c3bfd7ba", "environment_image_id": "sha256:104bacda92f0419c80454a4bd632d472b6ef53ac89c24c176266d226c3bfd7ba", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-069:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "ed9582b82d4025b1253ad670bf256d2a1e402152a08828511804b787c2299d21", "release_id": "069", "repository_url": "https://github.com/open2c/cooltools", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_069", "title": "Restore a complete Hi-C contact-decay analysis", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-069:v0.1.0@sha256:d879cd88dc547a45e25105bb4aec34c8c1acaf22d97bc858719692283e547819", "verifier_image_digest": "sha256:d879cd88dc547a45e25105bb4aec34c8c1acaf22d97bc858719692283e547819", "verifier_image_id": "sha256:d879cd88dc547a45e25105bb4aec34c8c1acaf22d97bc858719692283e547819", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-069:v0.1.0"} +{"base_commit": "f509b761a5231e9f108780c88c2b3781266e7b90", "domain": "proteomics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-070:v0.1.0@sha256:a54e1623ce467ff3366a5c064753a7f72c27e2443e5bc14d075ce42bf65768de", "environment_image_digest": "sha256:a54e1623ce467ff3366a5c064753a7f72c27e2443e5bc14d075ce42bf65768de", "environment_image_id": "sha256:a54e1623ce467ff3366a5c064753a7f72c27e2443e5bc14d075ce42bf65768de", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-070:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "3245e11806859843e00f907068319bf7bda844f2ef96396de5f571f8062aa7db", "release_id": "070", "repository_url": "https://github.com/levitsky/pyteomics", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_070", "title": "Restore chemically consistent proteoform ion annotations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-070:v0.1.0@sha256:65428a9c41233b574b2d31746f8968a2d3387bad708ec99f7e142256461d17a3", "verifier_image_digest": "sha256:65428a9c41233b574b2d31746f8968a2d3387bad708ec99f7e142256461d17a3", "verifier_image_id": "sha256:65428a9c41233b574b2d31746f8968a2d3387bad708ec99f7e142256461d17a3", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-070:v0.1.0"} +{"base_commit": "3a7adedc45c9a94585ec19bbd4622ac9f483ab9c", "domain": "grazing-incidence-and-fiber-x-ray-scattering", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-071:v0.1.0@sha256:08968262336c765e8d683cc867e2e0c3db50a99cee923ea8fa000bf4523a843d", "environment_image_digest": "sha256:08968262336c765e8d683cc867e2e0c3db50a99cee923ea8fa000bf4523a843d", "environment_image_id": "sha256:08968262336c765e8d683cc867e2e0c3db50a99cee923ea8fa000bf4523a843d", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-071:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "a594aff3f42be0d163e6fc22059215b3192da8418a22bb76724ae9799f7f36b0", "release_id": "071", "repository_url": "https://github.com/silx-kit/pyFAI", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_071", "title": "Repair an orientation-sensitive fiber-scattering reduction", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-071:v0.1.0@sha256:0039c955ffd15cd0020334c375dd24e6c41c1b1b2a6b59b392c647db32c47882", "verifier_image_digest": "sha256:0039c955ffd15cd0020334c375dd24e6c41c1b1b2a6b59b392c647db32c47882", "verifier_image_id": "sha256:0039c955ffd15cd0020334c375dd24e6c41c1b1b2a6b59b392c647db32c47882", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-071:v0.1.0"} +{"base_commit": "b69de21c8610853493bc81d3eac79644554e4bda", "domain": "medical-imaging-color-pixel-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-072:v0.1.0@sha256:c9746b594a561e16a92a0718356d2bde20f564a61d882bbce1af3bcd1658dad3", "environment_image_digest": "sha256:c9746b594a561e16a92a0718356d2bde20f564a61d882bbce1af3bcd1658dad3", "environment_image_id": "sha256:c9746b594a561e16a92a0718356d2bde20f564a61d882bbce1af3bcd1658dad3", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-072:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "c918fcb63e5730461495bdda55df23582e82cb3a33361cc7a15f54e2a039d9b0", "release_id": "072", "repository_url": "https://github.com/pydicom/pydicom", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_072", "title": "Repair an incomplete DICOM color image presentation workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-072:v0.1.0@sha256:8683aa3c574011f36df457c54a443457cd37078c2ca48f85fcb46015c431b31d", "verifier_image_digest": "sha256:8683aa3c574011f36df457c54a443457cd37078c2ca48f85fcb46015c431b31d", "verifier_image_id": "sha256:8683aa3c574011f36df457c54a443457cd37078c2ca48f85fcb46015c431b31d", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-072:v0.1.0"} +{"base_commit": "f8c3b8aa5473e078f91c86dcee7340eb9ed3eb97", "domain": "structural-biology-pdbx-macromolecular-connectivity", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-073:v0.1.0@sha256:fca7d2514acb9214baf529a5d4bfddbe5e165ba24cbea63cb4d380f5f5bea483", "environment_image_digest": "sha256:fca7d2514acb9214baf529a5d4bfddbe5e165ba24cbea63cb4d380f5f5bea483", "environment_image_id": "sha256:fca7d2514acb9214baf529a5d4bfddbe5e165ba24cbea63cb4d380f5f5bea483", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-073:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "4750773214e103b4927e1cfa74f838b86bd0b9fcf3e9f49a25844b17e06b6e24", "release_id": "073", "repository_url": "https://github.com/biotite-dev/biotite", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_073", "title": "Repair inconsistent alternate-conformer structure connectivity", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-073:v0.1.0@sha256:6041a2f1f781e1e02e908984c07c6de7a1e2edd67a3ce90529522ebc2e72aee8", "verifier_image_digest": "sha256:6041a2f1f781e1e02e908984c07c6de7a1e2edd67a3ce90529522ebc2e72aee8", "verifier_image_id": "sha256:6041a2f1f781e1e02e908984c07c6de7a1e2edd67a3ce90529522ebc2e72aee8", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-073:v0.1.0"} +{"base_commit": "e365079ea71190aaa0dc96d22253d3888c47abf9", "domain": "electronic-structure-nonorthogonal-eigenproblems", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-074:v0.1.0@sha256:717c4de698523729922644dc8f42dbf98071dbe48c25cf1016d425d2ceb0e49f", "environment_image_digest": "sha256:717c4de698523729922644dc8f42dbf98071dbe48c25cf1016d425d2ceb0e49f", "environment_image_id": "sha256:717c4de698523729922644dc8f42dbf98071dbe48c25cf1016d425d2ceb0e49f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-074:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "ad672fdf766b9ec695c2a3fc0ef10ff87623c0c0ca31d0dcef02fcc67b8bb9ae", "release_id": "074", "repository_url": "https://github.com/deepmodeling/DeePTB", "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_074", "title": "Repair an ill-conditioned overlap band-postprocessing workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-074:v0.1.0@sha256:874067a5199b4db19f575c074b7cd51c1eddf03f7aa13c97810ea2873c917d86", "verifier_image_digest": "sha256:874067a5199b4db19f575c074b7cd51c1eddf03f7aa13c97810ea2873c917d86", "verifier_image_id": "sha256:874067a5199b4db19f575c074b7cd51c1eddf03f7aa13c97810ea2873c917d86", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-074:v0.1.0"} +{"base_commit": "a9bcbc505de7d905dbc2a598b10c17a49e0131d8", "domain": "molecular-dynamics-machine-learning-potentials", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-075:v0.1.0@sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_digest": "sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_id": "sha256:7beaf3765d9cf49e2d3f647833f63266dfa15bc9978b753755050a66a7ec15dc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-c-task-075:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "c++", "license_source": "LICENSE", "public_payload_sha256": "086c38f2b97dbfebbece51b6f558f80eb85378ff99409b964ffc36f4c082ef3e", "release_id": "075", "repository_url": "https://github.com/deepmodeling/deepmd-kit", "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_075", "title": "Restore consistent compressed Deep Potential tabulation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-075:v0.1.0@sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_digest": "sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_id": "sha256:c50d05f06eee0035eb02e057017cbdbfae6a9855a900ac819bb90b937285a022", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-075:v0.1.0"} +{"base_commit": "5f57b6408864caab207c28f773a14c6261689abe", "domain": "convex-optimization-parametric-workflows", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-076:v0.1.0@sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_digest": "sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_id": "sha256:1a50e20a9caf81566ac7f3f9d356b04b8352a7eb3532f8a5543307ef3f0670fe", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-076:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "c2303ccea73430e7cca4a82672bdf8c5ea7465237e18f465358267c979f4cb4d", "release_id": "076", "repository_url": "https://github.com/cvxpy/cvxpy", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_076", "title": "Repair a batched parametric tracking workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-076:v0.1.0@sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_digest": "sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_id": "sha256:c40da6ce2cafe0194e2d74ca0380587b696890713c163a17624a855c86247404", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-076:v0.1.0"} +{"base_commit": "d2872f6c4d7c99b16f8a71d99cd56d0a5fe54695", "domain": "computational-geometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-077:v0.1.0@sha256:c0164a3b9503d40d28bdb96503976e673fd0a29c924cfb24e198cd2698d1a2e8", "environment_image_digest": "sha256:c0164a3b9503d40d28bdb96503976e673fd0a29c924cfb24e198cd2698d1a2e8", "environment_image_id": "sha256:c0164a3b9503d40d28bdb96503976e673fd0a29c924cfb24e198cd2698d1a2e8", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-077:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "281a98b13117b5df40f97a7237a835fd669856b82c6afb0913e700dc35f33055", "release_id": "077", "repository_url": "https://github.com/shapely/shapely", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_077", "title": "Repair an inconsistent oriented-envelope fallback workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-077:v0.1.0@sha256:f9f3eb576dd41c94b0407e0a0395e1df75d6cad627be53a028bc995d4f66e633", "verifier_image_digest": "sha256:f9f3eb576dd41c94b0407e0a0395e1df75d6cad627be53a028bc995d4f66e633", "verifier_image_id": "sha256:f9f3eb576dd41c94b0407e0a0395e1df75d6cad627be53a028bc995d4f66e633", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-077:v0.1.0"} +{"base_commit": "", "domain": "astronomical-image-analysis-and-wcs-aperture-photometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-078:v0.1.0@sha256:5b91a58b57d7fd6c87dbbeab4daf50ef8f9deb08db5c5d8063d77eb67dcd93b1", "environment_image_digest": "sha256:5b91a58b57d7fd6c87dbbeab4daf50ef8f9deb08db5c5d8063d77eb67dcd93b1", "environment_image_id": "sha256:5b91a58b57d7fd6c87dbbeab4daf50ef8f9deb08db5c5d8063d77eb67dcd93b1", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-078:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "842e8b9cc90cfc2fa565d985ad1d43d880025e8237e60838f0d164d37f50f906", "release_id": "078", "repository_url": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_078", "title": "Repair an inconsistent astronomical aperture workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-078:v0.1.0@sha256:9a64793e10d20c2c0b719ae87a72d795435b24f5efb8577071b693ec88b6f882", "verifier_image_digest": "sha256:9a64793e10d20c2c0b719ae87a72d795435b24f5efb8577071b693ec88b6f882", "verifier_image_id": "sha256:9a64793e10d20c2c0b719ae87a72d795435b24f5efb8577071b693ec88b6f882", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-078:v0.1.0"} +{"base_commit": "55f4e3437b6fb68deafa533cb00277b119e6eb8a", "domain": "computational-chemistry-molecular-representations", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-079:v0.1.0@sha256:700ef06ac1ce8d1550984b274b58f9440ca378a240bdc3064e51ab1d302fcad6", "environment_image_digest": "sha256:700ef06ac1ce8d1550984b274b58f9440ca378a240bdc3064e51ab1d302fcad6", "environment_image_id": "sha256:700ef06ac1ce8d1550984b274b58f9440ca378a240bdc3064e51ab1d302fcad6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-079:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "a4dd29c213c064d6ebe5d7024b329032ab8da4aedf0287da8de36c8964403d1f", "release_id": "079", "repository_url": "https://github.com/aspuru-guzik-group/selfies", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_079", "title": "Repair molecular-string translation for catalogue workflows", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-079:v0.1.0@sha256:243dfa0eb24b77c5c08a9141b632177711d7f438177f0f737c0c2d453c14f7f4", "verifier_image_digest": "sha256:243dfa0eb24b77c5c08a9141b632177711d7f438177f0f737c0c2d453c14f7f4", "verifier_image_id": "sha256:243dfa0eb24b77c5c08a9141b632177711d7f438177f0f737c0c2d453c14f7f4", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-079:v0.1.0"} +{"base_commit": "7d252520dbf81b168a2789a6aedfb75d04a21061", "domain": "geospatial-raster-reprojection", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-080:v0.1.0@sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_digest": "sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_id": "sha256:bd33e55e04ded03f1911abe6f673e4217c4fed04e14db72be630c1503cd10735", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-080:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "2e7d63a1052c7b94245de245deed7e14e20169bb0ad2447c854e4f1d6026fa6e", "release_id": "080", "repository_url": "https://github.com/xarray-contrib/xarray-spatial", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_080", "title": "Repair inconsistent geospatial raster remapping", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-080:v0.1.0@sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_digest": "sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_id": "sha256:0bd2b80b544ce97b0ecbab0c397a5d68014ee7cb2c3133be648db3d3ca0045ed", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-080:v0.1.0"} +{"base_commit": "", "domain": "single-cell-annotated-data-containers", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-081:v0.1.0@sha256:6114de7210e1f47c1ad558a9ca8886105a5ecf5af6a8453a9c7732ac415a7431", "environment_image_digest": "sha256:6114de7210e1f47c1ad558a9ca8886105a5ecf5af6a8453a9c7732ac415a7431", "environment_image_id": "sha256:6114de7210e1f47c1ad558a9ca8886105a5ecf5af6a8453a9c7732ac415a7431", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-081:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "d0c8f80b09a6b76fe96ceb4bb7c2fbccf23feb16a911a23d5aa81234e9f6cf7c", "release_id": "081", "repository_url": "https://github.com/scverse/anndata", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_081", "title": "Repair local study workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-081:v0.1.0@sha256:3a3f4428f0129a1302f743125649b4bea7445e57912bdd734ad3452389003efa", "verifier_image_digest": "sha256:3a3f4428f0129a1302f743125649b4bea7445e57912bdd734ad3452389003efa", "verifier_image_id": "sha256:3a3f4428f0129a1302f743125649b4bea7445e57912bdd734ad3452389003efa", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-081:v0.1.0"} +{"base_commit": "02a442c6bd7da9b5b2c9f958d3a103f5d6cd2a27", "domain": "atomistic-machine-learning-and-molecular-simulation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-082:v0.1.0@sha256:ff25e7997b4194fb53e3df8b71d48e8db25d299bf632ebebdb6a162925e73204", "environment_image_digest": "sha256:ff25e7997b4194fb53e3df8b71d48e8db25d299bf632ebebdb6a162925e73204", "environment_image_id": "sha256:ff25e7997b4194fb53e3df8b71d48e8db25d299bf632ebebdb6a162925e73204", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-082:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "2385deedff3d0a8ef16754877f091f473675d1dabfd7a965bd63a5d15ad6e987", "release_id": "082", "repository_url": "https://github.com/deepmodeling/dpgen", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_082", "title": "Repair a workflow consistency bug", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-082:v0.1.0@sha256:a829af72c8e716a904d83a590a865d07a7b9a31a8d4b7083afbf90b6611a937c", "verifier_image_digest": "sha256:a829af72c8e716a904d83a590a865d07a7b9a31a8d4b7083afbf90b6611a937c", "verifier_image_id": "sha256:a829af72c8e716a904d83a590a865d07a7b9a31a8d4b7083afbf90b6611a937c", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-082:v0.1.0"} +{"base_commit": "37b0bef6fd9d5945f1b752ac82d4f8564728cd8b", "domain": "computational-chemistry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-083:v0.1.0@sha256:9483e6962b892e928f5f1e1c608d646d2d35c5899da15f57fa7bc8c23bd2e14f", "environment_image_digest": "sha256:9483e6962b892e928f5f1e1c608d646d2d35c5899da15f57fa7bc8c23bd2e14f", "environment_image_id": "sha256:9483e6962b892e928f5f1e1c608d646d2d35c5899da15f57fa7bc8c23bd2e14f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-083:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "48f2557e6046a003e567fb8b9055d9a6f9a93401f664313f9c04cedadd30780c", "release_id": "083", "repository_url": "https://github.com/deepmodeling/reacnetgenerator", "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_083", "title": "Repair bond-order species reporting", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-083:v0.1.0@sha256:a1c0f1dabd6d4c334c815cb398eda399fbb8b7739b7b5ec60ea8abb1882b7727", "verifier_image_digest": "sha256:a1c0f1dabd6d4c334c815cb398eda399fbb8b7739b7b5ec60ea8abb1882b7727", "verifier_image_id": "sha256:a1c0f1dabd6d4c334c815cb398eda399fbb8b7739b7b5ec60ea8abb1882b7727", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-083:v0.1.0"} +{"base_commit": "80abfc5037876c0e883dcb58cd96521397e3fe36", "domain": "materials-science-scientific-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-084:v0.1.0@sha256:735e7ece88fa49a77257cfb2a59b435ed6ef511e99cc1739e24b366ea129836b", "environment_image_digest": "sha256:735e7ece88fa49a77257cfb2a59b435ed6ef511e99cc1739e24b366ea129836b", "environment_image_id": "sha256:735e7ece88fa49a77257cfb2a59b435ed6ef511e99cc1739e24b366ea129836b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-084:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "0b14a30b4b7ceb203ee7c08d2196b2c8b6a4efa48f85b12627a87a49f5f8b83d", "release_id": "084", "repository_url": "https://github.com/deepmodeling/dpdata", "schema_version": 1, "source_license": "LGPL-3.0-family", "status": "dockerhub-published", "task_path": "tasks/task_084", "title": "Repair ABACUS relaxation archive/reload semantics", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-084:v0.1.0@sha256:8cbe4554c727f25c1584f79c48f574a3d08e1fcf6d3c4cb32df36a7d8482216a", "verifier_image_digest": "sha256:8cbe4554c727f25c1584f79c48f574a3d08e1fcf6d3c4cb32df36a7d8482216a", "verifier_image_id": "sha256:8cbe4554c727f25c1584f79c48f574a3d08e1fcf6d3c4cb32df36a7d8482216a", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-084:v0.1.0"} +{"base_commit": "d4da8c5027b643291f3a6295efd4340ce79d6a36", "domain": "computational-chemistry-and-solvation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-085:v0.1.0@sha256:c4613c3e94fefc6cd721075d314d4fc463269cdd92cf7f6d0b656078a838a7cd", "environment_image_digest": "sha256:c4613c3e94fefc6cd721075d314d4fc463269cdd92cf7f6d0b656078a838a7cd", "environment_image_id": "sha256:c4613c3e94fefc6cd721075d314d4fc463269cdd92cf7f6d0b656078a838a7cd", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-fortran-task-085:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "fortran", "license_source": "COPYING", "public_payload_sha256": "2db37177603a05c62b276b94c738f8592f40853359df72a3f25205c1d5bb5748", "release_id": "085", "repository_url": "https://github.com/dftbplus/dftbplus", "schema_version": 1, "source_license": "AGPL-family", "status": "dockerhub-published", "task_path": "tasks/task_085", "title": "Inconsistent archived observables", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-085:v0.1.0@sha256:e68ac55c7cfb257756103351c305b97789d72f1e79203305d2aa7fa39e657eb1", "verifier_image_digest": "sha256:e68ac55c7cfb257756103351c305b97789d72f1e79203305d2aa7fa39e657eb1", "verifier_image_id": "sha256:e68ac55c7cfb257756103351c305b97789d72f1e79203305d2aa7fa39e657eb1", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-fortran-task-085:v0.1.0"} +{"base_commit": "02b415ba8bb25244bc5e3ad970491f0fbbea0292", "domain": "atomistic-machine-learning-potentials", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-086:v0.1.0@sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_digest": "sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_id": "sha256:7a54bd7e811a51abdd7571abbc03213eece0310016b174bfa52dcbe4ad171476", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-086:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "dd83643eed59e22c0cf5fa9d29e4de990944b8add3edd5058391df75a585f537", "release_id": "086", "repository_url": "https://github.com/materialyzeai/matgl", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_086", "title": "Repair a silent MatGL fine-tuning incompatibility", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-086:v0.1.0@sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_digest": "sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_id": "sha256:fb47312ac7443db59115807334c5d2345e3a2fb7a8f83d89bc8bfb48f7ce4bac", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-086:v0.1.0"} +{"base_commit": "ee6016ab81dd649ab40439d75212f35669302810", "domain": "diffusion-mri-denoising", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-087:v0.1.0@sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_digest": "sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_id": "sha256:5a00e4d7a825618ba70259ef5c5e229f7ba2549ab7648ead6fc91fce31256793", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-087:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "442792643e44ca3c36c70b3d63c80708e9f58b5972e5bdf43e90834720834814", "release_id": "087", "repository_url": "https://github.com/dipy/dipy", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_087", "title": "Repair a silent diffusion-MRI denoising inconsistency", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-087:v0.1.0@sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_digest": "sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_id": "sha256:b1ce39c75913bccef5f09acfd2b989857c071fc64c7fdc0dbff092e14dc5270f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-087:v0.1.0"} +{"base_commit": "0b071e369a88f6672accc2a99c40d3b4b334f2f9", "domain": "boundary-aggregation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-088:v0.1.0@sha256:c98a81a135c210d7681b57574c8f39a00f1a92778e458dc5300a7f2775e2ba6f", "environment_image_digest": "sha256:c98a81a135c210d7681b57574c8f39a00f1a92778e458dc5300a7f2775e2ba6f", "environment_image_id": "sha256:c98a81a135c210d7681b57574c8f39a00f1a92778e458dc5300a7f2775e2ba6f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-088:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "5e7474f8aa8269a9d76e03f048cce31b30e91fadfa8bb5e3401d63b59c63ddbf", "release_id": "088", "repository_url": "https://github.com/pydata/xarray", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_088", "title": "Repair a boundary aggregation failure", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-088:v0.1.0@sha256:9f8a00b079fb998f0672f57af8f75628dabc8582122a294f2b20cd304503ac6e", "verifier_image_digest": "sha256:9f8a00b079fb998f0672f57af8f75628dabc8582122a294f2b20cd304503ac6e", "verifier_image_id": "sha256:9f8a00b079fb998f0672f57af8f75628dabc8582122a294f2b20cd304503ac6e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-088:v0.1.0"} +{"base_commit": "6ba33bdd48bf336a81400147d2870323b241e457", "domain": "computational-chemistry-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-089:v0.1.0@sha256:87e8b70f8d192990fe5a0f5d1773dcb304ab1bf5074a187236f2e0bd041ba356", "environment_image_digest": "sha256:87e8b70f8d192990fe5a0f5d1773dcb304ab1bf5074a187236f2e0bd041ba356", "environment_image_id": "sha256:87e8b70f8d192990fe5a0f5d1773dcb304ab1bf5074a187236f2e0bd041ba356", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-089:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "fe78fd81c8f3bde1750d471aec4416de4b93ff45a1490008fe50e529855c6782", "release_id": "089", "repository_url": "https://github.com/cclib/cclib", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_089", "title": "Repair inconsistent ORCA excited-state oscillator strengths", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-089:v0.1.0@sha256:66ee7d7df906e3cad4e9d27664f1c6ea9bd6673ef36d5ddd61f5aaa75c88db60", "verifier_image_digest": "sha256:66ee7d7df906e3cad4e9d27664f1c6ea9bd6673ef36d5ddd61f5aaa75c88db60", "verifier_image_id": "sha256:66ee7d7df906e3cad4e9d27664f1c6ea9bd6673ef36d5ddd61f5aaa75c88db60", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-089:v0.1.0"} +{"base_commit": "", "domain": "nuclear-magnetic-resonance-spectroscopy", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-090:v0.1.0@sha256:a2a7d3de4b603c2e170a1ea679103aeefdd43c1503f5c2210f32fec9f51e3efa", "environment_image_digest": "sha256:a2a7d3de4b603c2e170a1ea679103aeefdd43c1503f5c2210f32fec9f51e3efa", "environment_image_id": "sha256:a2a7d3de4b603c2e170a1ea679103aeefdd43c1503f5c2210f32fec9f51e3efa", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-090:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "dd119886283401127edc350f562371a2bad9d92d79cfe0488afeaa26a8dde9b4", "release_id": "090", "repository_url": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_090", "title": "Restore multidimensional NMR acquisition grids", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-090:v0.1.0@sha256:8ba7b5dff3e7bd208683b7d457ebfe6277ce4bdd218bea4d2e0ea322f49a5007", "verifier_image_digest": "sha256:8ba7b5dff3e7bd208683b7d457ebfe6277ce4bdd218bea4d2e0ea322f49a5007", "verifier_image_id": "sha256:8ba7b5dff3e7bd208683b7d457ebfe6277ce4bdd218bea4d2e0ea322f49a5007", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-090:v0.1.0"} +{"base_commit": "c8cfee71f3ce5d92c5b5f6ca3d363f8f3a9f4495", "domain": "materials-science-volumetric-data-semantics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-091:v0.1.0@sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_digest": "sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_id": "sha256:e99b9784d9297b360713e12ff77833dfa629f31298f504322fa3ee98dc833ed8", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-091:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "ee6d2a8fa5af6c99aded10bacf8ffa2910bcb148ed68fb80707b9cebe7eb0437", "release_id": "091", "repository_url": "https://github.com/materialsproject/pymatgen-core", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_091", "title": "Repair a workflow regression", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-091:v0.1.0@sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_digest": "sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_id": "sha256:274078dbc1df8898a9f4d704e0e833c21b54447ff33e78314d2cc6e8c2e16435", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-091:v0.1.0"} +{"base_commit": "1f367d55d1bac14dd6b9e0cd5746574fcfab9a59", "domain": "ai-chemistry-reaction-property-learning", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-092:v0.1.0@sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_digest": "sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_id": "sha256:43ddc1b17809459d59ff0d6eaf8886368305e6164d7076d81a1660685a8dfac5", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-092:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "873bfddc79c4be961e1b653f28bf7718df73b74df7a12102e96a97ac64f51f07", "release_id": "092", "repository_url": "https://github.com/chemprop/chemprop", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_092", "title": "Repair inconsistent Chemprop reaction observations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-092:v0.1.0@sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_digest": "sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_id": "sha256:6eac8072686557e2a87b94a3600cdb5e6e1a94862c97c69cdf34a916ea0d7c83", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-092:v0.1.0"} +{"base_commit": "5a644e4edcc37e5c963e52fda6fab4c85b3ff02e", "domain": "medical-image-processing", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-093:v0.1.0@sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_digest": "sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_id": "sha256:5a60042d49b60549e07475ed0d0f717e1ceddac7c1e7832cec4803a8c5647e6a", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-093:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "0756b99aa4bc899129a72159146d991cddcd1544c136b1d3e76eb47f583c1cf3", "release_id": "093", "repository_url": "https://github.com/Project-MONAI/MONAI", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_093", "title": "Repair a patient-space round trip in MONAI", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-093:v0.1.0@sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_digest": "sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_id": "sha256:1a0872591921ff43bf480d6d6daa9e99f8f30c94d74f308337235ca21fe08e26", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-093:v0.1.0"} +{"base_commit": "", "domain": "condensed-matter-magnetism-and-magnetic-symmetry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-094:v0.1.0@sha256:29e3fa554e2177b07fb0e7f1cc9b470dd310202d31612af2e75baef512ae97e4", "environment_image_digest": "sha256:29e3fa554e2177b07fb0e7f1cc9b470dd310202d31612af2e75baef512ae97e4", "environment_image_id": "sha256:29e3fa554e2177b07fb0e7f1cc9b470dd310202d31612af2e75baef512ae97e4", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-094:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.rst", "public_payload_sha256": "83caaa6fe0d259a727975a11f4606bee8784fe286c6fec89eb78769b09ba9b44", "release_id": "094", "repository_url": "https://github.com/materialsproject/pymatgen", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_094", "title": "Repair magnetic-space-group operations across archived settings", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-094:v0.1.0@sha256:0b8980bec95351d787ad34347fde67096254dbe62b04ceb69b5d4fd0f8ea86df", "verifier_image_digest": "sha256:0b8980bec95351d787ad34347fde67096254dbe62b04ceb69b5d4fd0f8ea86df", "verifier_image_id": "sha256:0b8980bec95351d787ad34347fde67096254dbe62b04ceb69b5d4fd0f8ea86df", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-094:v0.1.0"} +{"base_commit": "d8efaa211ea6721cc4a718890f11fb60b8b43326", "domain": "new-energy-materials", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-095:v0.1.0@sha256:08fb28caff95e4cc11459e4bc8d21965e2b52cfa2ad1829e98aa440eba3f47be", "environment_image_digest": "sha256:08fb28caff95e4cc11459e4bc8d21965e2b52cfa2ad1829e98aa440eba3f47be", "environment_image_id": "sha256:08fb28caff95e4cc11459e4bc8d21965e2b52cfa2ad1829e98aa440eba3f47be", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-095:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "9682714aad6233c65f16201b2c737da9e0e133cf60cfc3203b375a3dd3b9487c", "release_id": "095", "repository_url": "https://github.com/PMEAL/OpenPNM", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_095", "title": "Repair a repeated porous-electrode transport workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-095:v0.1.0@sha256:9e1febafa3ee120cd3fdf92d8882fc81ac9c1f6215094130cc8f58de53fd82f9", "verifier_image_digest": "sha256:9e1febafa3ee120cd3fdf92d8882fc81ac9c1f6215094130cc8f58de53fd82f9", "verifier_image_id": "sha256:9e1febafa3ee120cd3fdf92d8882fc81ac9c1f6215094130cc8f58de53fd82f9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-095:v0.1.0"} +{"base_commit": "104dfdb64ed00fce6c49a5d67be371f4fca016dd", "domain": "tropical-cyclone-hazard-monitoring", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-096:v0.1.0@sha256:b5d83702d5a8bf8b17ce88fe6c95847eaf8b4ad5132e037fbaf6727154256a5f", "environment_image_digest": "sha256:b5d83702d5a8bf8b17ce88fe6c95847eaf8b4ad5132e037fbaf6727154256a5f", "environment_image_id": "sha256:b5d83702d5a8bf8b17ce88fe6c95847eaf8b4ad5132e037fbaf6727154256a5f", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-096:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "5da44df229cac52680b35b0d4806ec17dd1e8a8851512c04cbcdf3159e88c977", "release_id": "096", "repository_url": "https://github.com/CLIMADA-project/climada_python", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_096", "title": "Repair a wrapped tropical-cyclone hazard workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-096:v0.1.0@sha256:f83195b4ce577c453e2228e642418f22e935ebd835db2a0c168b8b7c93be28d9", "verifier_image_digest": "sha256:f83195b4ce577c453e2228e642418f22e935ebd835db2a0c168b8b7c93be28d9", "verifier_image_id": "sha256:f83195b4ce577c453e2228e642418f22e935ebd835db2a0c168b8b7c93be28d9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-096:v0.1.0"} +{"base_commit": "6c3b985cbc6e2dec51976a20ae51214186c693b5", "domain": "magnetism-and-spin-models", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-097:v0.1.0@sha256:d568b716103abb844e7d5f8e92693fc9bda65f9329fa82628da0433f52660de2", "environment_image_digest": "sha256:d568b716103abb844e7d5f8e92693fc9bda65f9329fa82628da0433f52660de2", "environment_image_id": "sha256:d568b716103abb844e7d5f8e92693fc9bda65f9329fa82628da0433f52660de2", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-097:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "0be2c62ea59a56d67afb0a87a5e2d6699169c73794c50b096a0d77f1f9474945", "release_id": "097", "repository_url": "https://github.com/deepmodeling/deepmd-kit", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_097", "title": "Repair spin-model consistency in DeePMD-kit", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-097:v0.1.0@sha256:f3cb6aea78fe4974c5f9fa31a55c02cec54773666d27857bfa0c1d9b79856ba1", "verifier_image_digest": "sha256:f3cb6aea78fe4974c5f9fa31a55c02cec54773666d27857bfa0c1d9b79856ba1", "verifier_image_id": "sha256:f3cb6aea78fe4974c5f9fa31a55c02cec54773666d27857bfa0c1d9b79856ba1", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-097:v0.1.0"} +{"base_commit": "", "domain": "remote-sensing-and-geostationary-geolocation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-098:v0.1.0@sha256:7749c5504674fd868d0c9f318caa3bddbc2eb7beaa77fc4b92822b0c19ced514", "environment_image_digest": "sha256:7749c5504674fd868d0c9f318caa3bddbc2eb7beaa77fc4b92822b0c19ced514", "environment_image_id": "sha256:7749c5504674fd868d0c9f318caa3bddbc2eb7beaa77fc4b92822b0c19ced514", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-098:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "not-detected", "public_payload_sha256": "551331a7c8d9ec732af39574c53fd2f2139520ba8eb5a322aed7d412101fe61d", "release_id": "098", "repository_url": "", "schema_version": 1, "source_license": "UNKNOWN", "status": "dockerhub-published", "task_path": "tasks/task_098", "title": "Repair inconsistent satellite parallax geolocation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-098:v0.1.0@sha256:60c92aee990b8ff7809aa094f99a6ada0935ac7fe605bfa6f90345912e56e598", "verifier_image_digest": "sha256:60c92aee990b8ff7809aa094f99a6ada0935ac7fe605bfa6f90345912e56e598", "verifier_image_id": "sha256:60c92aee990b8ff7809aa094f99a6ada0935ac7fe605bfa6f90345912e56e598", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-098:v0.1.0"} +{"base_commit": "9a4e467ba06e636ffa4de6ceee302cefee8b2a34", "domain": "satellite-navigation-and-gnss-positioning", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-099:v0.1.0@sha256:99a563d1d49d0ae4fcff3a709bf6eadb46e5c1514ec902545d7c4fa7b11c529a", "environment_image_digest": "sha256:99a563d1d49d0ae4fcff3a709bf6eadb46e5c1514ec902545d7c4fa7b11c529a", "environment_image_id": "sha256:99a563d1d49d0ae4fcff3a709bf6eadb46e5c1514ec902545d7c4fa7b11c529a", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-099:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "fff992d5304213d729a9c9bac0a2bd157c983e49cf4ca9f4d49da3d4fef14c0f", "release_id": "099", "repository_url": "https://github.com/Stanford-NavLab/gnss_lib_py", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_099", "title": "Repair an inconsistent GNSS point solution", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-099:v0.1.0@sha256:821dfafb1035f4ffe52e58226ae63be3d779edcdd077cd1e2890b9916b67a97b", "verifier_image_digest": "sha256:821dfafb1035f4ffe52e58226ae63be3d779edcdd077cd1e2890b9916b67a97b", "verifier_image_id": "sha256:821dfafb1035f4ffe52e58226ae63be3d779edcdd077cd1e2890b9916b67a97b", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-099:v0.1.0"} +{"base_commit": "c2f22341f2b1eb2f619b76534cf4abe2e5e6b3a3", "domain": "reticular-chemistry-and-framework-geometry", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-100:v0.1.0@sha256:9bfa2b87a911734bd13a90d76db6e6fc482793b851cfe9e37e2616368eb4ea8b", "environment_image_digest": "sha256:9bfa2b87a911734bd13a90d76db6e6fc482793b851cfe9e37e2616368eb4ea8b", "environment_image_id": "sha256:9bfa2b87a911734bd13a90d76db6e6fc482793b851cfe9e37e2616368eb4ea8b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-100:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "COPYING", "public_payload_sha256": "1e14eacadfc8bee10ae95178b7335c5fa6d923d9c528037c54d0d52c051c65c5", "release_id": "100", "repository_url": "https://github.com/DCoupry/autografs", "schema_version": 1, "source_license": "LGPL-2.1-family", "status": "dockerhub-published", "task_path": "tasks/task_100", "title": "Repair calibrated framework embedding relaxation", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-100:v0.1.0@sha256:24d7057aa54c241cb71822a31b12711ad36c6d13c53d58af790290752df9ef84", "verifier_image_digest": "sha256:24d7057aa54c241cb71822a31b12711ad36c6d13c53d58af790290752df9ef84", "verifier_image_id": "sha256:24d7057aa54c241cb71822a31b12711ad36c6d13c53d58af790290752df9ef84", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-100:v0.1.0"} +{"base_commit": "1e9fbcea25b78a0a633face62b077dae1f92bf62", "domain": "lithium-ion-battery-modeling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-101:v0.1.0@sha256:fd4bfc3ad2bcdaa12f1e2c7f8451646b14175f70bfd76a5066b06fbc8fa775b6", "environment_image_digest": "sha256:fd4bfc3ad2bcdaa12f1e2c7f8451646b14175f70bfd76a5066b06fbc8fa775b6", "environment_image_id": "sha256:fd4bfc3ad2bcdaa12f1e2c7f8451646b14175f70bfd76a5066b06fbc8fa775b6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-101:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "7ca613711ba2cbfcb078328bc5fe977dda892c408974f1d7140f7f1d7d0228b3", "release_id": "101", "repository_url": "https://github.com/pybamm-team/PyBaMM", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_101", "title": "Repair an inconsistent battery-model reproduction", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-101:v0.1.0@sha256:d87a3417f48574040b26cf616241f4f448f766aac2c04b1945ad05392ec04840", "verifier_image_digest": "sha256:d87a3417f48574040b26cf616241f4f448f766aac2c04b1945ad05392ec04840", "verifier_image_id": "sha256:d87a3417f48574040b26cf616241f4f448f766aac2c04b1945ad05392ec04840", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-101:v0.1.0"} +{"base_commit": "160e9707d844ad1b108e1d8184152050d16088a0", "domain": "polymer-coordinate-generation", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-102:v0.1.0@sha256:961828d6d0051e381646dc093bc531e80659fb62b7bda3181e6d624aa381efba", "environment_image_digest": "sha256:961828d6d0051e381646dc093bc531e80659fb62b7bda3181e6d624aa381efba", "environment_image_id": "sha256:961828d6d0051e381646dc093bc531e80659fb62b7bda3181e6d624aa381efba", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-102:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "2152837000fbb33fc8d41e69096794de10a4c9bfe7e3ca4f6237362e5d33a560", "release_id": "102", "repository_url": "https://github.com/marrink-lab/polyply_1.0", "schema_version": 1, "source_license": "Apache-2.0", "status": "dockerhub-published", "task_path": "tasks/task_102", "title": "Repair an inconsistent polymer coordinate workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-102:v0.1.0@sha256:efc0d2d6b049ecc34b2272455392e8eaec4e82f52d340a1b944597cbbb00342b", "verifier_image_digest": "sha256:efc0d2d6b049ecc34b2272455392e8eaec4e82f52d340a1b944597cbbb00342b", "verifier_image_id": "sha256:efc0d2d6b049ecc34b2272455392e8eaec4e82f52d340a1b944597cbbb00342b", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-102:v0.1.0"} +{"base_commit": "bdff2bb616847a058960c56328b68e36ab3764e3", "domain": "high-performance-fibers-and-composites", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-103:v0.1.0@sha256:8b1934f764347452d72e5a136b8925daf6002803df163fdda7285f9757831467", "environment_image_digest": "sha256:8b1934f764347452d72e5a136b8925daf6002803df163fdda7285f9757831467", "environment_image_id": "sha256:8b1934f764347452d72e5a136b8925daf6002803df163fdda7285f9757831467", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-103:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.md", "public_payload_sha256": "637633ba5229cbf0bf969d215196618fbee0a970d14266a1c9942dbef3eabc86", "release_id": "103", "repository_url": "https://github.com/SteveDoyle2/pyNastran", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_103", "title": "Repair symmetric composite laminate ABD calculations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-103:v0.1.0@sha256:6eee1cc75c6043694dc04e4d6de95a09eb4300c684c9901cb64fde126651ef29", "verifier_image_digest": "sha256:6eee1cc75c6043694dc04e4d6de95a09eb4300c684c9901cb64fde126651ef29", "verifier_image_id": "sha256:6eee1cc75c6043694dc04e4d6de95a09eb4300c684c9901cb64fde126651ef29", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-103:v0.1.0"} +{"base_commit": "4cf09f36bb4afb42c661e8765e14b4527581eff7", "domain": "energy-materials-and-finite-volume-transport", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-104:v0.1.0@sha256:0d857f3eb3f235360133e7ac9f179871788984cc44ad877c33592de25b9a6d55", "environment_image_digest": "sha256:0d857f3eb3f235360133e7ac9f179871788984cc44ad877c33592de25b9a6d55", "environment_image_id": "sha256:0d857f3eb3f235360133e7ac9f179871788984cc44ad877c33592de25b9a6d55", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-104:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "b9b443a00cc7b5c3a4e14a66c2c1462517649ad3dda55c2db9c549ecf8a07e67", "release_id": "104", "repository_url": "https://github.com/pybamm-team/PyBaMM", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_104", "title": "Repair inconsistent finite-volume advection edge states", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-104:v0.1.0@sha256:255bdf4c710228c19cbdb1ae9add8b9740edc29edc129361dc83e13bd1c07e6e", "verifier_image_digest": "sha256:255bdf4c710228c19cbdb1ae9add8b9740edc29edc129361dc83e13bd1c07e6e", "verifier_image_id": "sha256:255bdf4c710228c19cbdb1ae9add8b9740edc29edc129361dc83e13bd1c07e6e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-104:v0.1.0"} +{"base_commit": "", "domain": "drug-discovery-cheminformatics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-cpp-task-105:v0.1.0@sha256:c300da3c9e6851ebd49f1aaee9d30b11edfb3ff0d116687fd6d648d1dc237f9b", "environment_image_digest": "sha256:c300da3c9e6851ebd49f1aaee9d30b11edfb3ff0d116687fd6d648d1dc237f9b", "environment_image_id": "sha256:c300da3c9e6851ebd49f1aaee9d30b11edfb3ff0d116687fd6d648d1dc237f9b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-cpp-task-105:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python-cpp", "license_source": "license.txt", "public_payload_sha256": "d496a6d39aae48fa19d84c6a4abeb31ffdcb47c89055e7f92e5cd9cf6309608c", "release_id": "105", "repository_url": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_105", "title": "Restore a stereo-preserving tautomer workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cpp-task-105:v0.1.0@sha256:f1db6d0edacb4e211696f3e954c59bccbe2beb5ef28ea730dc73ee2bbb041d69", "verifier_image_digest": "sha256:f1db6d0edacb4e211696f3e954c59bccbe2beb5ef28ea730dc73ee2bbb041d69", "verifier_image_id": "sha256:f1db6d0edacb4e211696f3e954c59bccbe2beb5ef28ea730dc73ee2bbb041d69", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-cpp-task-105:v0.1.0"} +{"base_commit": "839001468ba8f8da64ba9d54b33fa33c795ed3c5", "domain": "chemoinformatics-molecular-fingerprints", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-106:v0.1.0@sha256:06c0ff508ca79a201a203fbdba027bc4325e83a9d66ea6da91dc6edb5a3bfc70", "environment_image_digest": "sha256:06c0ff508ca79a201a203fbdba027bc4325e83a9d66ea6da91dc6edb5a3bfc70", "environment_image_id": "sha256:06c0ff508ca79a201a203fbdba027bc4325e83a9d66ea6da91dc6edb5a3bfc70", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-106:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.md", "public_payload_sha256": "e94e60a0ebbd19494438edfdc820c664f7f9d4a72a7a4e9f4a5158e65019d996", "release_id": "106", "repository_url": "https://github.com/MLCIL/scikit-fingerprints", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_106", "title": "Reproduce and extend a version-pinned MAP4/MAPC retrieval protocol", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-106:v0.1.0@sha256:1cd49e20a456955be7217fb7d096e81562c9bbc081931055fd3e719ee9eaf111", "verifier_image_digest": "sha256:1cd49e20a456955be7217fb7d096e81562c9bbc081931055fd3e719ee9eaf111", "verifier_image_id": "sha256:1cd49e20a456955be7217fb7d096e81562c9bbc081931055fd3e719ee9eaf111", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-106:v0.1.0"} +{"base_commit": "", "domain": "computer-algebra", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-107:v0.1.0@sha256:0d36982015454e5d48e5d6f24a8964813386dfc86bd7d2bb6b89c5183b18a289", "environment_image_digest": "sha256:0d36982015454e5d48e5d6f24a8964813386dfc86bd7d2bb6b89c5183b18a289", "environment_image_id": "sha256:0d36982015454e5d48e5d6f24a8964813386dfc86bd7d2bb6b89c5183b18a289", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-107:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "9938aee4065bf2710315908c516fc18766d810d19943994ca58551f7b178794a", "release_id": "107", "repository_url": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_107", "title": "Repair a public symbolic workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-107:v0.1.0@sha256:dfc6b902fd30de1a96bf83fc929da8a7fd05d2bdbbc9ca9b0a4dce53107363f9", "verifier_image_digest": "sha256:dfc6b902fd30de1a96bf83fc929da8a7fd05d2bdbbc9ca9b0a4dce53107363f9", "verifier_image_id": "sha256:dfc6b902fd30de1a96bf83fc929da8a7fd05d2bdbbc9ca9b0a4dce53107363f9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-107:v0.1.0"} +{"base_commit": "5e683847c782a4c38ec71b8a88e6b1fbd903548f", "domain": "computational-mathematics-special-functions", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-108:v0.1.0@sha256:27ee5433771c81d7c81fe8dd421f6be77525f2970022969db930273d2c361cc0", "environment_image_digest": "sha256:27ee5433771c81d7c81fe8dd421f6be77525f2970022969db930273d2c361cc0", "environment_image_id": "sha256:27ee5433771c81d7c81fe8dd421f6be77525f2970022969db930273d2c361cc0", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-108:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "444409e8fe5c224b3165318b5a161d72cb6c9781565eabad46a5c08fe59685dc", "release_id": "108", "repository_url": "https://github.com/mpmath/mpmath", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_108", "title": "Restore stable Jacobi theta evaluations across difficult regimes", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-108:v0.1.0@sha256:c7d2a5a47ab0b41c8da2154568fc37a12cd8da33569e1e73c41ddd2556550bf5", "verifier_image_digest": "sha256:c7d2a5a47ab0b41c8da2154568fc37a12cd8da33569e1e73c41ddd2556550bf5", "verifier_image_id": "sha256:c7d2a5a47ab0b41c8da2154568fc37a12cd8da33569e1e73c41ddd2556550bf5", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-108:v0.1.0"} +{"base_commit": "e81538d9a2ab5031559d0dd74b742ded5465406c", "domain": "high-performance-fibers-and-composites", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-109:v0.1.0@sha256:28e18df47f0a3b6a207c6c8ecfc9c13ecf92888acf3abd19c8bb172636b9934a", "environment_image_digest": "sha256:28e18df47f0a3b6a207c6c8ecfc9c13ecf92888acf3abd19c8bb172636b9934a", "environment_image_id": "sha256:28e18df47f0a3b6a207c6c8ecfc9c13ecf92888acf3abd19c8bb172636b9934a", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-109:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "8570c909ae4c3289c01426c7f2720de40ea02ac9dd32e04d729be0a44d48ac5e", "release_id": "109", "repository_url": "https://github.com/elhajjar1/wrinkleFE", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_109", "title": "Repair paired wrinkle FE analysis", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-109:v0.1.0@sha256:401e19dafcba0c5e8d08b55e01eca2380927e41be82c2144d9e99e3a86968d9b", "verifier_image_digest": "sha256:401e19dafcba0c5e8d08b55e01eca2380927e41be82c2144d9e99e3a86968d9b", "verifier_image_id": "sha256:401e19dafcba0c5e8d08b55e01eca2380927e41be82c2144d9e99e3a86968d9b", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-109:v0.1.0"} +{"base_commit": "", "domain": "high-performance-fibers-and-composites", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-110:v0.1.0@sha256:31221c81a3b4eecab2d2a678620d800acdb02f804093d809656ad695b4e667d6", "environment_image_digest": "sha256:31221c81a3b4eecab2d2a678620d800acdb02f804093d809656ad695b4e667d6", "environment_image_id": "sha256:31221c81a3b4eecab2d2a678620d800acdb02f804093d809656ad695b4e667d6", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-110:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "5da464679f638b67d9409b9d680c9a4e5f7bb314f46ae0fc14a693500f22d5bb", "release_id": "110", "repository_url": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_110", "title": "Restore consistent cross-section analysis results", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-110:v0.1.0@sha256:f73746797050455f54de4c5aef6c2d50ad43601623072479fda97d9d80bbece7", "verifier_image_digest": "sha256:f73746797050455f54de4c5aef6c2d50ad43601623072479fda97d9d80bbece7", "verifier_image_id": "sha256:f73746797050455f54de4c5aef6c2d50ad43601623072479fda97d9d80bbece7", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-110:v0.1.0"} +{"base_commit": "46ad665fb84bda0c2d9b3392b6f2ef2388af1358", "domain": "computational-mechanics-and-soft-filament-dynamics", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-111:v0.1.0@sha256:3ffa5e7326116f513a3a357db186b3c1d115e7b95328eec5a0c7646530eabf72", "environment_image_digest": "sha256:3ffa5e7326116f513a3a357db186b3c1d115e7b95328eec5a0c7646530eabf72", "environment_image_id": "sha256:3ffa5e7326116f513a3a357db186b3c1d115e7b95328eec5a0c7646530eabf72", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-111:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "bc051a4f26a75f73535918cd1a8bc8754a4b1da712860acdff481ba9ff0efe8a", "release_id": "111", "repository_url": "https://github.com/GazzolaLab/PyElastica", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_111", "title": "Restore consistent tapered-filament free response", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-111:v0.1.0@sha256:3babb2ab453edfca93f09d4a4c2412a8eed02c686db64d4f122b656cb04be6cb", "verifier_image_digest": "sha256:3babb2ab453edfca93f09d4a4c2412a8eed02c686db64d4f122b656cb04be6cb", "verifier_image_id": "sha256:3babb2ab453edfca93f09d4a4c2412a8eed02c686db64d4f122b656cb04be6cb", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-111:v0.1.0"} +{"base_commit": "", "domain": "high-performance-fibers-and-composites", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-112:v0.1.0@sha256:cf1d158d5fff8dc097eb9656e900a1db377e2d117cbcdd1f974abd1fd19c97d9", "environment_image_digest": "sha256:cf1d158d5fff8dc097eb9656e900a1db377e2d117cbcdd1f974abd1fd19c97d9", "environment_image_id": "sha256:cf1d158d5fff8dc097eb9656e900a1db377e2d117cbcdd1f974abd1fd19c97d9", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-112:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "bb313b40e78959c6b6aa7c2e1d88bc13135cabb91be96ead6c7b02b595e09c91", "release_id": "112", "repository_url": "", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_112", "title": "Repair an inconsistent hybrid-section plastic capacity workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-112:v0.1.0@sha256:30342a49f647f500a584e94e70157d8fde2a5f444c2d2c6f85eaf5cbf40ee421", "verifier_image_digest": "sha256:30342a49f647f500a584e94e70157d8fde2a5f444c2d2c6f85eaf5cbf40ee421", "verifier_image_id": "sha256:30342a49f647f500a584e94e70157d8fde2a5f444c2d2c6f85eaf5cbf40ee421", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-112:v0.1.0"} +{"base_commit": "", "domain": "renewable-energy-modelling", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-113:v0.1.0@sha256:ed2da0d993479cb7e2468edd003d7e0995b64c12f531af018f1e6342bd7b6298", "environment_image_digest": "sha256:ed2da0d993479cb7e2468edd003d7e0995b64c12f531af018f1e6342bd7b6298", "environment_image_id": "sha256:ed2da0d993479cb7e2468edd003d7e0995b64c12f531af018f1e6342bd7b6298", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-113:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "abff131018164171256d840b24b28f75874d438199c298730bb9e67a418069d1", "release_id": "113", "repository_url": "", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_113", "title": "Repair an inconsistent solar-resource workflow", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-113:v0.1.0@sha256:9cc086c8edab07c617306a43a0e2bf7e2e2f70003734287d40e84138fdd73c11", "verifier_image_digest": "sha256:9cc086c8edab07c617306a43a0e2bf7e2e2f70003734287d40e84138fdd73c11", "verifier_image_id": "sha256:9cc086c8edab07c617306a43a0e2bf7e2e2f70003734287d40e84138fdd73c11", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-113:v0.1.0"} +{"base_commit": "895bc26c721abbb826d7f8caf51587a66c69f15d", "domain": "power-system-energy-storage", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-114:v0.1.0@sha256:d00e869c664e260a5f304cefea76ebc24b7771534511614557b49dabff377790", "environment_image_digest": "sha256:d00e869c664e260a5f304cefea76ebc24b7771534511614557b49dabff377790", "environment_image_id": "sha256:d00e869c664e260a5f304cefea76ebc24b7771534511614557b49dabff377790", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-114:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE.txt", "public_payload_sha256": "11ed0f893a747a442a803de74162c64d83f5d2faaa768350901af033f8f20baf", "release_id": "114", "repository_url": "https://github.com/PyPSA/PyPSA", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_114", "title": "Repair an implausible storage history at a planning-epoch boundary", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-114:v0.1.0@sha256:413bf5a0fb0be52e587cf96314cfa625a9a55c8214506562b79d74aa5221074e", "verifier_image_digest": "sha256:413bf5a0fb0be52e587cf96314cfa625a9a55c8214506562b79d74aa5221074e", "verifier_image_id": "sha256:413bf5a0fb0be52e587cf96314cfa625a9a55c8214506562b79d74aa5221074e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-114:v0.1.0"} +{"base_commit": "147c7aa24ec30b1c6a4d4820446915380752877b", "domain": "structural-engineering-and-disaster-resilience", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-115:v0.1.0@sha256:b1349937225fba8160651c9b9b218d1c8eef9c8c0f38e2a97620ac6f69d285e8", "environment_image_digest": "sha256:b1349937225fba8160651c9b9b218d1c8eef9c8c0f38e2a97620ac6f69d285e8", "environment_image_id": "sha256:b1349937225fba8160651c9b9b218d1c8eef9c8c0f38e2a97620ac6f69d285e8", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-115:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "9fd0984b691e2f02e10254a1bd81bce154c5487a07bdd0b418feb9a291468abc", "release_id": "115", "repository_url": "https://github.com/JWock82/Pynite", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_115", "title": "Restore physically meaningful structural stability checks", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-115:v0.1.0@sha256:a1b79491c7ee62a7541fe24e1053d2094f439d23b7b1fadff3f2086f9044b3ed", "verifier_image_digest": "sha256:a1b79491c7ee62a7541fe24e1053d2094f439d23b7b1fadff3f2086f9044b3ed", "verifier_image_id": "sha256:a1b79491c7ee62a7541fe24e1053d2094f439d23b7b1fadff3f2086f9044b3ed", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-115:v0.1.0"} +{"base_commit": "", "domain": "structural-engineering-finite-element-resilience", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-116:v0.1.0@sha256:915ef0a612a06d17d0dae56aa1481524f7ff3a522e8373acf846faf6e5bd9423", "environment_image_digest": "sha256:915ef0a612a06d17d0dae56aa1481524f7ff3a522e8373acf846faf6e5bd9423", "environment_image_id": "sha256:915ef0a612a06d17d0dae56aa1481524f7ff3a522e8373acf846faf6e5bd9423", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-116:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "dbc513a429a96f2f932c6361a67d673a4473c834f540432b3c60d51c91cfcc9d", "release_id": "116", "repository_url": "https://github.com/JWock82/Pynite", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_116", "title": "Repair mode-dependent structural analysis observations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-116:v0.1.0@sha256:0f6df9acdb29e887cbcce79b2fe207237fee4edfbf825459002da778c7ccf90f", "verifier_image_digest": "sha256:0f6df9acdb29e887cbcce79b2fe207237fee4edfbf825459002da778c7ccf90f", "verifier_image_id": "sha256:0f6df9acdb29e887cbcce79b2fe207237fee4edfbf825459002da778c7ccf90f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-116:v0.1.0"} +{"base_commit": "573e51689fe5fe54f279a7a875e431a35355fe73", "domain": "structural-engineering-disaster-resilience", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-117:v0.1.0@sha256:194616d6aabade2a36d9d1076a2628f50790c9a88beccd353de1a508b3a5f417", "environment_image_digest": "sha256:194616d6aabade2a36d9d1076a2628f50790c9a88beccd353de1a508b3a5f417", "environment_image_id": "sha256:194616d6aabade2a36d9d1076a2628f50790c9a88beccd353de1a508b3a5f417", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-117:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "576548fdac2012b5964ab55f374077468fdce4afddd9599cfbf6301b1f3ea490", "release_id": "117", "repository_url": "https://github.com/JWock82/Pynite", "schema_version": 1, "source_license": "MIT", "status": "dockerhub-published", "task_path": "tasks/task_117", "title": "Repair inconsistent lateral-frame member observations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-117:v0.1.0@sha256:4bff5cf1692b605c6de4c67fcaa834de3c63bcece3857dfb0074aee990b8a7ca", "verifier_image_digest": "sha256:4bff5cf1692b605c6de4c67fcaa834de3c63bcece3857dfb0074aee990b8a7ca", "verifier_image_id": "sha256:4bff5cf1692b605c6de4c67fcaa834de3c63bcece3857dfb0074aee990b8a7ca", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-117:v0.1.0"} +{"base_commit": "", "domain": "computational-high-energy-molecular-chemistry-periodic-models", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-118:v0.1.0@sha256:d368971b40f90dbf4197b0a285dd19086c66fb8287bc96f8c4601be5b2c0f95b", "environment_image_digest": "sha256:d368971b40f90dbf4197b0a285dd19086c66fb8287bc96f8c4601be5b2c0f95b", "environment_image_id": "sha256:d368971b40f90dbf4197b0a285dd19086c66fb8287bc96f8c4601be5b2c0f95b", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-118:v0.1.0", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_source": "COPYING", "public_payload_sha256": "1d2f2929496088cc56e5ace00807c26de51b2ca99b758ced06ebe7b6f8a057e1", "release_id": "118", "repository_url": "", "schema_version": 1, "source_license": "AGPL-family", "status": "dockerhub-published", "task_path": "tasks/task_118", "title": "Repair inconsistent periodic molecular energy representations", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-118:v0.1.0@sha256:1e5311b58eae5b34988b4a7b193b50e3dae7e6037605b1deaeb2c854a3de4cd5", "verifier_image_digest": "sha256:1e5311b58eae5b34988b4a7b193b50e3dae7e6037605b1deaeb2c854a3de4cd5", "verifier_image_id": "sha256:1e5311b58eae5b34988b4a7b193b50e3dae7e6037605b1deaeb2c854a3de4cd5", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-118:v0.1.0"} +{"base_commit": "dd5eec6bfefa11ffe0ec81e2c4018003e8e39f2b", "domain": "quantum-chemistry-reaction-paths", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.0@sha256:bd74671fe69b403be15607d8f221b5e2528cb8fac5ea76561542af3ac3421bdc", "environment_image_digest": "sha256:bd74671fe69b403be15607d8f221b5e2528cb8fac5ea76561542af3ac3421bdc", "environment_image_id": "sha256:bd74671fe69b403be15607d8f221b5e2528cb8fac5ea76561542af3ac3421bdc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.0", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_source": "LICENSE", "public_payload_sha256": "3871acb535cf909a57445869a10486318e8941c87fba318374acd51d562b1ee8", "release_id": "119", "repository_url": "https://github.com/MolSSI/QCEngine", "schema_version": 1, "source_license": "BSD-3-Clause", "status": "dockerhub-published", "task_path": "tasks/task_119", "title": "Repair a molecular curvature workflow for reaction-path analysis", "verifier_image": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-119:v0.1.0@sha256:17807f4660a135d0d24a77e806d34f7fb1708117ab490bcdd0c4711ef5c5b560", "verifier_image_digest": "sha256:17807f4660a135d0d24a77e806d34f7fb1708117ab490bcdd0c4711ef5c5b560", "verifier_image_id": "sha256:17807f4660a135d0d24a77e806d34f7fb1708117ab490bcdd0c4711ef5c5b560", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-119:v0.1.0"} diff --git a/profiles/codex.env.example b/profiles/codex.env.example new file mode 100644 index 0000000000000000000000000000000000000000..ce8488ab26f99c9d90567a0836ea7812cd723d42 --- /dev/null +++ b/profiles/codex.env.example @@ -0,0 +1,7 @@ +# Keep the real file outside the repository and pass it with --env-file. +MODEL=gpt-5 +OPENAI_API_KEY=replace-with-your-key +CODEX_BASE_URL=https://api.openai.com/v1 +CODEX_WIRE_API=responses +CODEX_VERSION=latest +CODEX_REASONING_EFFORT=high diff --git a/selections/all-119.json b/selections/all-119.json new file mode 100644 index 0000000000000000000000000000000000000000..cec4caadd2d2c73387fed557bef2db27d4bb4c7e --- /dev/null +++ b/selections/all-119.json @@ -0,0 +1,124 @@ +{ + "task_ids": [ + "001", + "002", + "003", + "004", + "005", + "006", + "007", + "008", + "009", + "010", + "011", + "012", + "013", + "014", + "015", + "016", + "017", + "018", + "019", + "020", + "021", + "022", + "023", + "024", + "025", + "026", + "027", + "028", + "029", + "030", + "031", + "032", + "033", + "034", + "035", + "036", + "037", + "038", + "039", + "040", + "041", + "042", + "043", + "044", + "045", + "046", + "047", + "048", + "049", + "050", + "051", + "052", + "053", + "054", + "055", + "056", + "057", + "058", + "059", + "060", + "061", + "062", + "063", + "064", + "065", + "066", + "067", + "068", + "069", + "070", + "071", + "072", + "073", + "074", + "075", + "076", + "077", + "078", + "079", + "080", + "081", + "082", + "083", + "084", + "085", + "086", + "087", + "088", + "089", + "090", + "091", + "092", + "093", + "094", + "095", + "096", + "097", + "098", + "099", + "100", + "101", + "102", + "103", + "104", + "105", + "106", + "107", + "108", + "109", + "110", + "111", + "112", + "113", + "114", + "115", + "116", + "117", + "118", + "119" + ], + "allow_gpl": true +} diff --git a/selections/default-107.json b/selections/default-107.json new file mode 100644 index 0000000000000000000000000000000000000000..27e224108ca01c916b3d18413472e5cbca2299d0 --- /dev/null +++ b/selections/default-107.json @@ -0,0 +1,112 @@ +{ + "task_ids": [ + "001", + "002", + "004", + "005", + "006", + "007", + "008", + "009", + "010", + "011", + "012", + "013", + "014", + "015", + "016", + "017", + "018", + "019", + "020", + "022", + "024", + "025", + "026", + "027", + "028", + "029", + "030", + "031", + "032", + "033", + "034", + "035", + "036", + "037", + "038", + "039", + "040", + "041", + "042", + "043", + "044", + "045", + "046", + "047", + "048", + "049", + "050", + "051", + "052", + "053", + "054", + "055", + "056", + "058", + "059", + "060", + "061", + "062", + "063", + "064", + "065", + "067", + "068", + "069", + "070", + "071", + "072", + "073", + "076", + "077", + "078", + "079", + "080", + "081", + "082", + "086", + "087", + "088", + "089", + "090", + "091", + "092", + "093", + "094", + "095", + "096", + "097", + "098", + "099", + "101", + "102", + "103", + "104", + "105", + "106", + "107", + "108", + "109", + "110", + "111", + "112", + "113", + "114", + "115", + "116", + "117", + "119" + ], + "allow_gpl": false +} diff --git a/tasks/task_001/environment/Dockerfile b/tasks/task_001/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..1b23c2acb6612812934ab1cdaf03289e36325f5a --- /dev/null +++ b/tasks/task_001/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_001 +COPY repo/ /app/task_001/source/ +COPY public/ /app/task_001/ +COPY requirements.lock /app/task_001/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_001:/app/task_001/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_001/instruction.md b/tasks/task_001/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..c7c3c3d28e42137f257facb4f055558b3275ac03 --- /dev/null +++ b/tasks/task_001/instruction.md @@ -0,0 +1,13 @@ +The included repository implements a tuned range-separated DFT workflow. The +baseline calculation runs, and the +workflow reports a tuned range-separation parameter. However, the final +calculation does not show the kind of change one would expect after a successful +tuning step. + +Inspect the source code and public reproduction workflow, and repair +the implementation so that the reported tuning step has a real effect on the +final scientific calculation. Do not hard-code a single molecule, a single +parameter value, or a fixed expected output. + +The task is about diagnosing why the reproduced tuned workflow still behaves too +much like its untuned baseline. diff --git a/tasks/task_001/metadata.json b/tasks/task_001/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0bc41573133835b38ce974e2a5b8472362697d94 --- /dev/null +++ b/tasks/task_001/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "001", + "title": "Repair omega-dependent range-separated PBE workflow in a real PySCF STRSF repository", + "domain": "density-functional-theory", + "language": "python", + "source_repository": "https://github.com/aditisingh4812/simplified_tuned_range_separated", + "source_commit": "f794ca5265d38906782506f1ac4e197b4e273fc4", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "9ed895761e11ebcd5d3d383429d1b50b2039969eab6be3369298f32077d581dd" +} diff --git a/tasks/task_001/task.toml b/tasks/task_001/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..3da939f7d166c89644d97bff3d16046e140046f3 --- /dev/null +++ b/tasks/task_001/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-001" +description = "Repair omega-dependent range-separated PBE workflow in a real PySCF STRSF repository" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "001" +language = "python" +base_commit_hash = "f794ca5265d38906782506f1ac4e197b4e273fc4" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-001:v0.1.0@sha256:ba7befeae4625761cb107ea17ff7962f0d7fd45a71eb25cf75369dc93da8f9d3" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_001" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-001:v0.1.0@sha256:3cf671ebe637b067246b05330c0c95c82bd0e1445fafaa3de1b6c1c4d1d7cd64" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_001" + +[[verifier.collect]] +command = "cd /app/task_001 && git config --global --add safe.directory /app/task_001 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_001/tests/Dockerfile b/tasks/task_001/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..24dac2a8a00d9695a57e53d5d9b10118b03d0e2a --- /dev/null +++ b/tasks/task_001/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-001:v0.1.0@sha256:3cf671ebe637b067246b05330c0c95c82bd0e1445fafaa3de1b6c1c4d1d7cd64 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_001/tests/test.sh b/tasks/task_001/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_001/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_002/environment/Dockerfile b/tasks/task_002/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..ec7921a978f8d2d3649d7f7195d0d2970ab302e5 --- /dev/null +++ b/tasks/task_002/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_002 +COPY repo/ /app/task_002/source/ +COPY public/ /app/task_002/ +COPY requirements.lock /app/task_002/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_002:/app/task_002/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_002/instruction.md b/tasks/task_002/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..175c57904e1ed381c3c97ddeb6105b2baf131309 --- /dev/null +++ b/tasks/task_002/instruction.md @@ -0,0 +1,10 @@ +The bundled repository implements a published computational workflow. +The reduced reproduction completes normally and returns finite observations, but +the values do not agree quantitatively with the corresponding validation data. + +Determine why the reduced path drifts from the intended calculation and repair +the implementation across the related bundled cases. Use the source, public +workflow, and generated observations as the basis for the correction. + +Do not hard-code case names, sequence positions, expected values, or the visible +default selection. diff --git a/tasks/task_002/metadata.json b/tasks/task_002/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5bec835a87de5d94a5cca2d77ebca8c5a24a5c3b --- /dev/null +++ b/tasks/task_002/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "002", + "title": "Repair an inconsistent reduced validation workflow", + "domain": "density-functional-theory", + "language": "python", + "source_repository": "https://github.com/aditisingh4812/simplified_tuned_range_separated", + "source_commit": "f794ca5265d38906782506f1ac4e197b4e273fc4", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "413aae9a4fa7428016b80984ed9c66d8b5e9e3af97d9588571f64fcac7a1dc46" +} diff --git a/tasks/task_002/task.toml b/tasks/task_002/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..382fd242908a77471b364abc9d81b46d736d93a3 --- /dev/null +++ b/tasks/task_002/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-002" +description = "Repair an inconsistent reduced validation workflow" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "002" +language = "python" +base_commit_hash = "f794ca5265d38906782506f1ac4e197b4e273fc4" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-002:v0.1.0@sha256:13e8c428f486c685ec92b031e46f3520bac3d4e26b6bdd83fde9826a488b7761" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_002" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-002:v0.1.0@sha256:a863b98f920e1e9b1aede8bd0460d039628aab19a413cce3dad7417028e1bd1a" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_002" + +[[verifier.collect]] +command = "cd /app/task_002 && git config --global --add safe.directory /app/task_002 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_002/tests/Dockerfile b/tasks/task_002/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..bfcc40aeff9836575e349866d91a2712dcc18ffb --- /dev/null +++ b/tasks/task_002/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-002:v0.1.0@sha256:a863b98f920e1e9b1aede8bd0460d039628aab19a413cce3dad7417028e1bd1a +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_002/tests/test.sh b/tasks/task_002/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_002/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_003/environment/Dockerfile b/tasks/task_003/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..9b47d2799175ad21d340913659daeb14454c96ee --- /dev/null +++ b/tasks/task_003/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_003 +COPY repo/ /app/task_003/source/ +COPY public/ /app/task_003/ +COPY requirements.lock /app/task_003/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_003:/app/task_003/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_003/instruction.md b/tasks/task_003/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..4095584c4b4d6e78cba7cd93e040330f611a3e43 --- /dev/null +++ b/tasks/task_003/instruction.md @@ -0,0 +1,28 @@ +# Repair extxyz tensor-label preservation for atomistic ML data + +You are working on a pinned snapshot of `deepmodeling/dpdata`, a data conversion +library used in atomistic simulation and machine-learning potential workflows. + +A collaborator is converting extended XYZ datasets produced by ASE/QUIP-style +tools into dpdata/DeepMD-style labeled systems. Energies, cells, coordinates, +and forces survive the conversion, but an important cell-level tensor label used +for stress/virial training is missing or not preserved for common extxyz files. +This is dangerous because downstream training can silently proceed with an +incomplete label set. + +Inspect the source tree and repair the implementation so that +extxyz datasets following common ASE-style conventions preserve the physically +equivalent tensor information needed by dpdata. Your fix should be general; do +not hard-code the public fixture, molecule, cell size, or numeric output. +Consider the public extxyz read and write paths that users naturally exercise +through dpdata's format APIs, not only the single public reproduction script. + +You can run the public reproduction workflow: + +```bash +python reproduce.py +``` + +Keep generated files out of your patch. Do not modify task metadata. Existing +QUIP/GAP extxyz files that already provide virial-like labels should continue to +work. diff --git a/tasks/task_003/metadata.json b/tasks/task_003/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5f43ab42e390d960c1f5f0e60ffb4f9bf5dc7a6 --- /dev/null +++ b/tasks/task_003/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "003", + "title": "Repair extxyz stress and virial tensor-label preservation", + "domain": "atomistic-machine-learning-data", + "language": "python", + "source_repository": "https://github.com/deepmodeling/dpdata", + "source_commit": "4d8048b51ee0cc00caa4854844c28b7f892fd908", + "source_license": "LGPL-3.0-family", + "license_source": "LICENSE", + "gpl_family": true, + "public_payload_sha256": "1f00289f07104c48c4894348dc606860079c7e5647e213570bb613d52603927e" +} diff --git a/tasks/task_003/task.toml b/tasks/task_003/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..552d7915e076b7d7a3eac3acc4aec858f5f82529 --- /dev/null +++ b/tasks/task_003/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-003" +description = "Repair extxyz stress and virial tensor-label preservation" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "003" +language = "python" +base_commit_hash = "4d8048b51ee0cc00caa4854844c28b7f892fd908" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-003:v0.1.0@sha256:f161a1e658abd71c5c3abda59b61814a2c5bf140a4826b5598a917d62a258f4e" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_003" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-003:v0.1.0@sha256:4d2e13b726b99a0c9d302ba913cdaa727c49fdc403b65b68918ec70c1713a790" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_003" + +[[verifier.collect]] +command = "cd /app/task_003 && git config --global --add safe.directory /app/task_003 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_003/tests/Dockerfile b/tasks/task_003/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..55f4c51a25e7fd2649bb8fe31fbe3d575387bd85 --- /dev/null +++ b/tasks/task_003/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-003:v0.1.0@sha256:4d2e13b726b99a0c9d302ba913cdaa727c49fdc403b65b68918ec70c1713a790 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_003/tests/test.sh b/tasks/task_003/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_003/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_004/environment/Dockerfile b/tasks/task_004/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..a37ac604e14aebc67d63dd589ed8aab3cd016d2a --- /dev/null +++ b/tasks/task_004/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=1 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_004 +COPY repo/ /app/task_004/source/ +COPY public/ /app/task_004/ +COPY requirements.lock /app/task_004/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_004:/app/task_004/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_004/instruction.md b/tasks/task_004/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..862b5ba0ff7172d90fc3977fba8795ab8a2c46c4 --- /dev/null +++ b/tasks/task_004/instruction.md @@ -0,0 +1,28 @@ +# Repair Split-Read Exon-Overlap Filtering + +You are working with a pinned BEDTools source snapshot used in an RNA-seq +quality-control workflow. + +The workflow asks which aligned reads have enough support inside annotated +exons. A junction-spanning alignment is visible when the analysis accepts any +exonic contact, but it disappears when the documented fractional-overlap filter +is enabled. A comparable contiguous alignment remains present. This changes the +count of biologically valid spliced reads even though the input records are +well-formed and sorted consistently. + +Inspect the source's format handling, public fixtures, and reproduction. Repair +the implementation so discontinuous genomic records are +handled consistently with the documented interval semantics. Preserve ordinary +non-split intersection behavior and unrelated command-line behavior. + +Your repair must be general. Do not hard-code the public coordinates, record +names, chromosome, threshold, block count, option order, or output mode. + +Run the public reproduction with: + +```bash +python reproduce.py +``` + +The verifier will build the repaired source and exercise additional genomic +layouts and intersection modes in a fresh offline workspace. diff --git a/tasks/task_004/metadata.json b/tasks/task_004/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..38a2b09f09ef6245d569dc2a8902b6c50cec73ee --- /dev/null +++ b/tasks/task_004/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "004", + "title": "Repair split-read exon-overlap filtering", + "domain": "rna-seq-genomic-interval-semantics", + "language": "c++", + "source_repository": "https://github.com/arq5x/bedtools2", + "source_commit": "0f45761e8ef6ffc093f649b0145788577a62ed33", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "8cc8d65610e3d79b5906805b086ce8163a7f03a586bfcbc62badbe9c62d8c555" +} diff --git a/tasks/task_004/task.toml b/tasks/task_004/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..8841b78d203741dcadd2f53bf4bdc0cdc214ec8b --- /dev/null +++ b/tasks/task_004/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-004" +description = "Repair split-read exon-overlap filtering" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "004" +language = "c++" +base_commit_hash = "0f45761e8ef6ffc093f649b0145788577a62ed33" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-c-task-004:v0.1.0@sha256:290695ddb1d2a160142311b604ccb61ff5d51d9500b6d218c56b43cbb94d9620" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_004" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-004:v0.1.0@sha256:2553def59dc88f1886ad281da1d561600560a6f8391f177d33bb9f4975e7cc4f" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_004" + +[[verifier.collect]] +command = "cd /app/task_004 && git config --global --add safe.directory /app/task_004 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_004/tests/Dockerfile b/tasks/task_004/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..6af5181f8e20b78d5bc7695f38e9fe14e2a79b45 --- /dev/null +++ b/tasks/task_004/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-c-task-004:v0.1.0@sha256:2553def59dc88f1886ad281da1d561600560a6f8391f177d33bb9f4975e7cc4f +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_004/tests/test.sh b/tasks/task_004/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_004/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_005/environment/Dockerfile b/tasks/task_005/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..864f5eab25f518546601f472192f963f73c9bd85 --- /dev/null +++ b/tasks/task_005/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=1 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_005 +COPY repo/ /app/task_005/source/ +COPY public/ /app/task_005/ +COPY requirements.lock /app/task_005/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_005:/app/task_005/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_005/instruction.md b/tasks/task_005/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..be47fa42dd0ebb48229ab10136153822db018b6e --- /dev/null +++ b/tasks/task_005/instruction.md @@ -0,0 +1,19 @@ +You are working with a pinned snapshot of Osprey/FID-A, a magnetic resonance +spectroscopy processing pipeline. A collaborator is processing edited MRS data +with multiple subspectra. In a reduced synthetic reproduction, one acquisition +condition has a 180 degree polarity relationship to the others, and the current +pipeline produces an inconsistent aligned/combined result. + +Run `python reproduce.py` and repair the source under +`source/` so that edited subspectra are handled consistently before alignment +and combination. The repair should be general across edited MRS datasets and +ordinary load/process workflows. + +The symptom may come from inconsistent semantics between data loading and later +processing, not only from the final alignment routine. + +Do not hard-code the public fixture, a particular sample count, a particular +ppm grid, a particular subspectrum count, or fixed expected numbers from the +public reproduction. Existing behavior for workflows that intentionally preserve +the original acquisition polarity should remain distinct from workflows that +need polarity-consistent spectra for alignment. diff --git a/tasks/task_005/metadata.json b/tasks/task_005/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee74ff2b975f0341062a6aafb6429979bb8f0d26 --- /dev/null +++ b/tasks/task_005/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "005", + "title": "Repair edited MRS subspectrum polarity handling", + "domain": "magnetic-resonance-spectroscopy-processing", + "language": "matlab-octave", + "source_repository": "", + "source_commit": "", + "source_license": "MIT", + "license_source": "LICENSE.md", + "gpl_family": false, + "public_payload_sha256": "dafbff8689114068d979e814bece33e26c954a846a4ce816e3ee4614552ae813" +} diff --git a/tasks/task_005/task.toml b/tasks/task_005/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..4268c886d7fd5cb5e44a17ffcecb5863162ba8f6 --- /dev/null +++ b/tasks/task_005/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-005" +description = "Repair edited MRS subspectrum polarity handling" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "005" +language = "matlab-octave" +base_commit_hash = "" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-005:v0.1.0@sha256:a2c49556f75e3dc3fd7f186e6309b2af8def8b724a950abe28fec9c317043440" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_005" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-005:v0.1.0@sha256:a7504e832bbcdd27a696ef1a476ae48afae9b470fcb38037c5eb24fd30ccf3b0" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_005" + +[[verifier.collect]] +command = "cd /app/task_005 && git config --global --add safe.directory /app/task_005 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_005/tests/Dockerfile b/tasks/task_005/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..3d06628c5ca7586cf44f96fccb73983e3efdd203 --- /dev/null +++ b/tasks/task_005/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-005:v0.1.0@sha256:a7504e832bbcdd27a696ef1a476ae48afae9b470fcb38037c5eb24fd30ccf3b0 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_005/tests/test.sh b/tasks/task_005/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_005/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_006/environment/Dockerfile b/tasks/task_006/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..11798113822f1de3f0f6a41b94b5c2cb620315fa --- /dev/null +++ b/tasks/task_006/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=1 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_006 +COPY repo/ /app/task_006/source/ +COPY public/ /app/task_006/ +COPY requirements.lock /app/task_006/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_006:/app/task_006/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_006/instruction.md b/tasks/task_006/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..f7cf645a09f54d1b92593bb966914196972873cf --- /dev/null +++ b/tasks/task_006/instruction.md @@ -0,0 +1,5 @@ +Inspect the BEDTools source tree and the public reproduction workflow. A small genomic interval-enrichment analysis becomes unstable when the database/background interval set is augmented with valid intervals that cannot overlap the query intervals. + +Those appended background intervals should not create new observed overlaps, but they are still part of the statistical sample used by the Fisher exact test table. Repair the implementation so that interval-enrichment output uses complete summary state for valid BED and genome inputs. The fix should preserve the behavior of ordinary interval-overlap commands and should not hard-code the public fixture, file names, chromosome names, counts, p-values, or coordinates. + +Run `python reproduce.py` from this task directory to build the local source and reproduce the public failure. diff --git a/tasks/task_006/metadata.json b/tasks/task_006/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eafe38a750e07fbce3d8e6d3e79c561f4cf0f124 --- /dev/null +++ b/tasks/task_006/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "006", + "title": "Repair inconsistent genomic interval enrichment counts", + "domain": "genomics-interval-statistics", + "language": "c++", + "source_repository": "https://github.com/arq5x/bedtools2", + "source_commit": "ac6b252a3a6df2498757d76190b2b164cc591453", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "13d72d9ddbb69f144a85b474cae6106efe5bb7198ab09e144771589a4639ebc3" +} diff --git a/tasks/task_006/task.toml b/tasks/task_006/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..64ca3c77512800a3ebf83ba0b758d65ec6ad66a7 --- /dev/null +++ b/tasks/task_006/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-006" +description = "Repair inconsistent genomic interval enrichment counts" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "006" +language = "c++" +base_commit_hash = "ac6b252a3a6df2498757d76190b2b164cc591453" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-c-task-006:v0.1.0@sha256:f740af3206582652b34972f662852a98c370ab94b5e4c1fccb88d065f8abae04" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_006" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-006:v0.1.0@sha256:21e0cc23312edf271bb76b5cb35e61125952ff0056813c8e15c52713b6a2e5f9" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_006" + +[[verifier.collect]] +command = "cd /app/task_006 && git config --global --add safe.directory /app/task_006 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_006/tests/Dockerfile b/tasks/task_006/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..a59c7fb23bca33628deef83c1d7ac5c09d3b1d86 --- /dev/null +++ b/tasks/task_006/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-c-task-006:v0.1.0@sha256:21e0cc23312edf271bb76b5cb35e61125952ff0056813c8e15c52713b6a2e5f9 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_006/tests/test.sh b/tasks/task_006/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_006/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_007/environment/Dockerfile b/tasks/task_007/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..2d96e8af157c0746377e0ce2984d132a204526b3 --- /dev/null +++ b/tasks/task_007/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_007 +COPY repo/ /app/task_007/source/ +COPY public/ /app/task_007/ +COPY requirements.lock /app/task_007/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_007:/app/task_007/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_007/instruction.md b/tasks/task_007/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..a096dc19169ab122876869686be779c2dceed767 --- /dev/null +++ b/tasks/task_007/instruction.md @@ -0,0 +1,25 @@ +Inspect the Suspect source code, run the public +reproduction workflow, and repair the dynamic-registration implementation so +that spectral registration improves drifted magnetic-resonance spectroscopy +transients. + +The public reproduction uses a small dynamic MRS-like series. The current +workflow should build or use a common reference, estimate frequency/phase drift +for each transient in the stable spectral region, compensate that drift before +averaging, and keep unusable transients from polluting the reported average. +The reported quality metrics show that the processed series is still not +behaving as a scientifically meaningful drift correction should. + +Your repair should be general. Do not hard-code the public fixture, point +count, dwell time, peak frequency, or a fixed set of numeric outputs. The +correct behavior should hold for other drift directions, spectral windows, +noise levels, and sampling settings. + +Run: + +```bash +python reproduce.py +``` + +The script writes `outputs/reproduction_report.json` and prints the same report +to stdout. diff --git a/tasks/task_007/metadata.json b/tasks/task_007/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f7b6732f19fb5cf3c178a4f02c1b6e3c58d2060d --- /dev/null +++ b/tasks/task_007/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "007", + "title": "Repair unstable spectral registration for drifted MRS transients", + "domain": "magnetic-resonance-spectroscopy", + "language": "python", + "source_repository": "https://github.com/openmrslab/suspect", + "source_commit": "2254ab2ae6194b41487c933039c5f2ea204e5107", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "212b3be3c819f1587ea5e3bed18c94872ce7325e527a521f51ab37680bbfb004" +} diff --git a/tasks/task_007/task.toml b/tasks/task_007/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..74b0b6b3e62803c220a160776d39edfa431424b2 --- /dev/null +++ b/tasks/task_007/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-007" +description = "Repair unstable spectral registration for drifted MRS transients" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "007" +language = "python" +base_commit_hash = "2254ab2ae6194b41487c933039c5f2ea204e5107" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-007:v0.1.0@sha256:3d7361fdd902b7603b13befdaee0d7a2bcfb2d1f3f970633c981bd5b975103ec" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_007" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-007:v0.1.0@sha256:ba9b6eeba1b6ac397d7878bff2d920b1137caf4fda6909422fa9001aab26b24b" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_007" + +[[verifier.collect]] +command = "cd /app/task_007 && git config --global --add safe.directory /app/task_007 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_007/tests/Dockerfile b/tasks/task_007/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..5a6d25b6182114b75d3df2214c4f1457df508938 --- /dev/null +++ b/tasks/task_007/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-007:v0.1.0@sha256:ba9b6eeba1b6ac397d7878bff2d920b1137caf4fda6909422fa9001aab26b24b +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_007/tests/test.sh b/tasks/task_007/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_007/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_008/environment/Dockerfile b/tasks/task_008/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..c7f94f347e43406ce783cf20a9d047982392befd --- /dev/null +++ b/tasks/task_008/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_008 +COPY repo/ /app/task_008/source/ +COPY public/ /app/task_008/ +COPY requirements.lock /app/task_008/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_008:/app/task_008/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_008/instruction.md b/tasks/task_008/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..e2a07cce09218b126b2af3644882f501d68185b6 --- /dev/null +++ b/tasks/task_008/instruction.md @@ -0,0 +1,19 @@ +The current TERPSICHORE-native migration slice already covers the reduced +internal-region stability path, but it does not yet correctly establish the +first wall-coupled external-region capability needed for vacuum plus conducting +wall analysis. + +Read the provided method context and source snapshot, run the public +reproduction, and complete the missing capability so the implementation no +longer behaves like an internal-only scaffold when a vacuum region and an +explicit conducting wall are part of the problem. A correct solution should let +materially different conducting walls produce distinct global potential-energy +and stability observations while the no-explicit-wall fallback remains +available. + +Constraints: + +- keep the solution generic and array-based; +- do not hard-code the public reproduction values; +- preserve the no-explicit-wall fallback path; +- keep the public reproduction runnable without internet access. diff --git a/tasks/task_008/metadata.json b/tasks/task_008/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6ce59e2ec775e33b563cda404d4b6127bd6adec8 --- /dev/null +++ b/tasks/task_008/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "008", + "title": "Establish first vacuum-plus-wall external-region capability in the TERPSICHORE-native path", + "domain": "plasma-stability", + "language": "python", + "source_repository": "https://github.com/PlasmaControl/DESC", + "source_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", + "source_license": "UNKNOWN", + "license_source": "not-detected", + "gpl_family": false, + "public_payload_sha256": "5863511b16e2bc29b11d73a3a9672f7d7ef1ff621d544f44a273642013eaad48" +} diff --git a/tasks/task_008/task.toml b/tasks/task_008/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..36617c3496a0b76c21eadd8aa145644ff0bc1cf3 --- /dev/null +++ b/tasks/task_008/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-008" +description = "Establish first vacuum-plus-wall external-region capability in the TERPSICHORE-native path" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "008" +language = "python" +base_commit_hash = "ab1c5a33031a2e64581f5e663ef8e2f6203a5220" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-008:v0.1.0@sha256:e65d078c640c84fcd915c520a99d477b3c650ec137056a552ea8aa505d0a19ec" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_008" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-008:v0.1.0@sha256:5f02708ac41337aa21e611a45fc0b398613378833718f2900a18ae753808974a" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_008" + +[[verifier.collect]] +command = "cd /app/task_008 && git config --global --add safe.directory /app/task_008 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_008/tests/Dockerfile b/tasks/task_008/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..44479ad2fe75086f1c338dc242277d5c3b9af8a2 --- /dev/null +++ b/tasks/task_008/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-008:v0.1.0@sha256:5f02708ac41337aa21e611a45fc0b398613378833718f2900a18ae753808974a +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_008/tests/test.sh b/tasks/task_008/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_008/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_009/environment/Dockerfile b/tasks/task_009/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..90b79f4d13cd23c84d8dc9447362d981db20b41a --- /dev/null +++ b/tasks/task_009/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_009 +COPY repo/ /app/task_009/source/ +COPY public/ /app/task_009/ +COPY requirements.lock /app/task_009/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_009:/app/task_009/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_009/instruction.md b/tasks/task_009/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..58b82efb4244e4642312e298cdacf06f8e65568b --- /dev/null +++ b/tasks/task_009/instruction.md @@ -0,0 +1,24 @@ +Extend the current TERPSICHORE-native external-region implementation so it can +correctly support the `projection_wall` geometry mode, not just the simpler wall +construction already present in the reduced source snapshot. + +Inspect the source snapshot and run the public reproduction, then complete the +implementation so projection-wall geometry changes propagate through the +pseudo-vacuum construction and into downstream external-region scientific +payloads. + +Use the supported `projection_wall` configuration and observed behavior to +trace the representation through the external-region implementation. + +For this task, `projection_wall` should be treated as a wall-construction +regime rather than a cosmetic parameter tweak. The constructed outer geometry +must remain compatible with the existing downstream external-region machinery; +it should not introduce a disconnected one-off path that only satisfies a +single reproduction case. + +Constraints: + +- keep the solution generic and array-based; +- do not hard-code the public reproduction values; +- preserve the simpler wall mode already supported by the snapshot; +- keep the public reproduction runnable without internet access. diff --git a/tasks/task_009/metadata.json b/tasks/task_009/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6160f43a6e68a48cd266d6ce7d9f8c4abdda06bb --- /dev/null +++ b/tasks/task_009/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "009", + "title": "Enable projection-wall external-region support in the TERPSICHORE-native path", + "domain": "plasma-stability", + "language": "python", + "source_repository": "https://github.com/PlasmaControl/DESC", + "source_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", + "source_license": "UNKNOWN", + "license_source": "not-detected", + "gpl_family": false, + "public_payload_sha256": "0cfbfaa362cd8e9fa53fd20bd7691c32f0daed12632b711d29e6fc2d45316493" +} diff --git a/tasks/task_009/task.toml b/tasks/task_009/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..30af30d17745e17171a8dca4dc52d16fa31b4ab2 --- /dev/null +++ b/tasks/task_009/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-009" +description = "Enable projection-wall external-region support in the TERPSICHORE-native path" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "009" +language = "python" +base_commit_hash = "ab1c5a33031a2e64581f5e663ef8e2f6203a5220" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-009:v0.1.0@sha256:a40f148e84915c6a8b0cf89b8cf6ce27d7aedb4451c4bcaee715a55b295831e4" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_009" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-009:v0.1.0@sha256:73746f77074cfc0a1b7abaebf7f95d877a883a454eb8e4e48ef5db52c5ccceac" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_009" + +[[verifier.collect]] +command = "cd /app/task_009 && git config --global --add safe.directory /app/task_009 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_009/tests/Dockerfile b/tasks/task_009/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..017d4bcc15099f24865fb9dba5f41816f1c19e19 --- /dev/null +++ b/tasks/task_009/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-009:v0.1.0@sha256:73746f77074cfc0a1b7abaebf7f95d877a883a454eb8e4e48ef5db52c5ccceac +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_009/tests/test.sh b/tasks/task_009/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_009/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_010/environment/Dockerfile b/tasks/task_010/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..b38462e97c692fb975e4b020668115f9987345a0 --- /dev/null +++ b/tasks/task_010/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_010 +COPY repo/ /app/task_010/source/ +COPY public/ /app/task_010/ +COPY requirements.lock /app/task_010/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_010:/app/task_010/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_010/instruction.md b/tasks/task_010/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..11821bd59cecbbf70032e631bb4886621fd69d0b --- /dev/null +++ b/tasks/task_010/instruction.md @@ -0,0 +1,19 @@ +# Complete Support for the New Stability Cases + +The source snapshot implements a native Python path for a TERPSICHORE-style +ideal-MHD stability calculation. It already supports the established cases, but +the three supplied research cases use another valid perturbation convention +and do not produce the expected scientific behavior. + +Run: + +```bash +python reproduce.py +``` + +Inspect the Python source and task context, and complete the missing scientific +capability. The result must work across all supplied kinetic regimes and must +preserve behavior for the existing convention. + +Do not hard-code case names, fixture values, or final diagnostics. Internet +access is unavailable during evaluation. diff --git a/tasks/task_010/metadata.json b/tasks/task_010/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb68f8465e60be36ee52c5ab038c785ef4c00f19 --- /dev/null +++ b/tasks/task_010/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "010", + "title": "Complete alternate perturbation-representation support", + "domain": "plasma-stability", + "language": "python", + "source_repository": "https://github.com/PlasmaControl/DESC", + "source_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", + "source_license": "UNKNOWN", + "license_source": "not-detected", + "gpl_family": false, + "public_payload_sha256": "dffb8a232fcdf0541d6536a2ddfc22ec92e5e68aa704ee5e49b19f75cdfd21b3" +} diff --git a/tasks/task_010/task.toml b/tasks/task_010/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..18dc483d607ea5d44e2330f38200d0219d79db7b --- /dev/null +++ b/tasks/task_010/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-010" +description = "Complete alternate perturbation-representation support" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "010" +language = "python" +base_commit_hash = "ab1c5a33031a2e64581f5e663ef8e2f6203a5220" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-010:v0.1.0@sha256:647be22b8cc7a897a02a21d624e72a02f3ee49ff44f6524e85d6e244ecb677a7" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_010" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-010:v0.1.0@sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_010" + +[[verifier.collect]] +command = "cd /app/task_010 && git config --global --add safe.directory /app/task_010 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_010/tests/Dockerfile b/tasks/task_010/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..61b841a78cb49768be2459bcb7edfc1f0f456748 --- /dev/null +++ b/tasks/task_010/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-010:v0.1.0@sha256:fe5b09f4a5b92039fc793cd50a3feb28c9828eed93a42e4392fb2ea0d0402d11 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_010/tests/test.sh b/tasks/task_010/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_010/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_011/environment/Dockerfile b/tasks/task_011/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..0cadee7db7c16dc3369d0f6b5790054c33bd3422 --- /dev/null +++ b/tasks/task_011/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_011 +COPY repo/ /app/task_011/source/ +COPY public/ /app/task_011/ +COPY requirements.lock /app/task_011/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_011:/app/task_011/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_011/instruction.md b/tasks/task_011/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..83023f5361140e37bdb9f3edfbe26cbcc0ed78af --- /dev/null +++ b/tasks/task_011/instruction.md @@ -0,0 +1,44 @@ +# Complete the Missing Response Capability + +You are given a reduced source snapshot from a TERPSICHORE-style ideal MHD +stability workflow. + +The current implementation already reproduces a simpler baseline regime. +However, the included public cases introduce richer response settings with +multiple coupled mode groups and radially localized transport behavior. In the +current source snapshot, the reproduced downstream behavior still looks too +close to the baseline regime across those settings. + +Inspect the source and run: + +```bash +python reproduce.py +``` + +The reproduction writes the observed baseline and target quantities under +`outputs/`. The command returns nonzero if those observations are empty, +incomplete, or non-finite; it does not apply verifier-only scientific +acceptance windows. + +Your task is to complete the implementation so that these richer settings are +handled as genuinely supported scientific regimes. + +The intended capability chain is: + +```text +regime handling -> radial response profiles -> sideband/transport representation -> projection and pair support -> downstream blocks -> energy diagnostics +``` + +Do not hard-code: + +- the included public case; +- a fixed list of expected numbers; +- a single mode table; +- one pair-support pattern; +- one coefficient tensor or one matrix block. + +Do not bypass the scientific data path by writing directly into downstream +matrix or energy outputs. The implementation should support the general +workflow represented by the supplied task. + +Internet access is not available during evaluation. diff --git a/tasks/task_011/metadata.json b/tasks/task_011/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a0e1df36b9930bc6fd5860bebb0c4f45b47d433f --- /dev/null +++ b/tasks/task_011/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "011", + "title": "Complete the Missing Response Capability", + "domain": "plasma-stability", + "language": "python", + "source_repository": "https://github.com/PlasmaControl/DESC", + "source_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", + "source_license": "UNKNOWN", + "license_source": "not-detected", + "gpl_family": false, + "public_payload_sha256": "28c1ef74121cffdb5d98bd3c3bceb889a974a02f638de61d916b784f1c27f153" +} diff --git a/tasks/task_011/task.toml b/tasks/task_011/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..b1e16b5b875934e5a2ef4c10f3c183518f77fd9d --- /dev/null +++ b/tasks/task_011/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-011" +description = "Complete the Missing Response Capability" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "011" +language = "python" +base_commit_hash = "ab1c5a33031a2e64581f5e663ef8e2f6203a5220" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-011:v0.1.0@sha256:9ad40bda1a487a22ba30afd79d7c99cc16533444404a653f74c21c189855acbc" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_011" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-011:v0.1.0@sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_011" + +[[verifier.collect]] +command = "cd /app/task_011 && git config --global --add safe.directory /app/task_011 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_011/tests/Dockerfile b/tasks/task_011/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..63740cd3c92a98d00cd9bc214a1238b39857cb75 --- /dev/null +++ b/tasks/task_011/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-011:v0.1.0@sha256:a2cce1bf22739b0728b7de005fb8bf8473fd95cc362409fc529a918dd4ca87b7 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_011/tests/test.sh b/tasks/task_011/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_011/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_012/environment/Dockerfile b/tasks/task_012/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..261ad0cb6405dfee117ab6ef7325cd0a81f180b2 --- /dev/null +++ b/tasks/task_012/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_012 +COPY repo/ /app/task_012/source/ +COPY public/ /app/task_012/ +COPY requirements.lock /app/task_012/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_012:/app/task_012/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_012/instruction.md b/tasks/task_012/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..0a1e37d01a4e60bffc63955250d1af969c10bf35 --- /dev/null +++ b/tasks/task_012/instruction.md @@ -0,0 +1,43 @@ +# Complete 3-D Cross-n FOURIN Spectral Coupling + +You are given a reduced source snapshot from a TERPSICHORE-style ideal MHD +stability workflow. + +The current implementation handles simpler spectral settings, but the included +3-D plasma-only reproduction exposes an incomplete capability: cross-n spectral +coupling is not consistently preserved through the coefficient and downstream +matrix/energy path. + +Inspect the source and run: + +```bash +python reproduce.py +``` + +The reproduction writes the candidate workflow's raw observations under +`outputs/`. The command returns nonzero if those observations are empty, +incomplete, or non-finite; it does not apply verifier-only capability +thresholds. + +Your task is to complete the implementation so that a genuinely +three-dimensional mode set with multiple toroidal `n` groups is handled +consistently. + +The intended capability chain is: + +```text +mode table -> trigonometric lookup -> branch metadata reduction -> FOURIN coefficients -> matrix assembly -> energy accounting +``` + +Do not hard-code: + +- the included case; +- a fixed list of expected numbers; +- a fixed mode table; +- a single coefficient or matrix block. + +Do not bypass the coefficient path by writing directly into matrix outputs. The +implementation should support the general 3-D spectral-coupling workflow +represented by the supplied task. + +Internet access is not available during evaluation. diff --git a/tasks/task_012/metadata.json b/tasks/task_012/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9cd21669c8a188ffd270ad6e81e1180c77da919a --- /dev/null +++ b/tasks/task_012/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "012", + "title": "Complete 3-D Cross-n FOURIN Spectral Coupling", + "domain": "plasma-stability", + "language": "python", + "source_repository": "https://github.com/PlasmaControl/DESC", + "source_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", + "source_license": "UNKNOWN", + "license_source": "not-detected", + "gpl_family": false, + "public_payload_sha256": "1b3d9c866f207e617fec2d02f7f907fb8825a73dddaf58c8e3ea8428efd36e36" +} diff --git a/tasks/task_012/task.toml b/tasks/task_012/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..b4935885f74855c460787bac81d6f3b278e6ab61 --- /dev/null +++ b/tasks/task_012/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-012" +description = "Complete 3-D Cross-n FOURIN Spectral Coupling" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "012" +language = "python" +base_commit_hash = "ab1c5a33031a2e64581f5e663ef8e2f6203a5220" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-012:v0.1.0@sha256:4b4284b2dddfead4001e9be44b2dc8807b7b30043dff03541cbfe925bf44b066" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_012" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-012:v0.1.0@sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_012" + +[[verifier.collect]] +command = "cd /app/task_012 && git config --global --add safe.directory /app/task_012 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_012/tests/Dockerfile b/tasks/task_012/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..d48b3fa32fcb2352e313a65413fdd39376af87b5 --- /dev/null +++ b/tasks/task_012/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-012:v0.1.0@sha256:3ccc8ecdaed2fce6d60b926a927315995930a3f75a1713470564b11f2622e47c +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_012/tests/test.sh b/tasks/task_012/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_012/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_013/environment/Dockerfile b/tasks/task_013/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..ccb9083ea4458e9224ca006fa370f5a48e13d9eb --- /dev/null +++ b/tasks/task_013/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_013 +COPY repo/ /app/task_013/source/ +COPY public/ /app/task_013/ +COPY requirements.lock /app/task_013/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_013:/app/task_013/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_013/instruction.md b/tasks/task_013/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..6cb1cf318caa5d34fbae6d76622d4e0f543b936b --- /dev/null +++ b/tasks/task_013/instruction.md @@ -0,0 +1,40 @@ +Establish boundary-regime operator and energy closure in the TERPSICHORE-native path + +You are given a reduced source snapshot from a TERPSICHORE-style ideal MHD +stability workflow. + +The current implementation already supports a simpler baseline stability path, +but the included fixed-boundary reproduction exposes an incomplete capability: +once the problem definition moves from free boundary into progressively more +constrained fixed-boundary settings, the reduced implementation no longer +carries that meaning coherently through coefficient construction, +potential/kinetic operator assembly, and interval/scalar energy diagnostics. + +Inspect the source and run: + + python reproduce.py + +The reproduction writes the observed boundary profiles, interval quantities, +and adjacent-regime contrasts under `outputs/`. The command returns nonzero +if those observations are empty, incomplete, or non-finite; it does not apply +verifier-only boundary-regime thresholds. + +Your task is to complete the implementation so that a ladder of boundary +regimes is handled consistently through the full reduced capability chain. + +The intended capability chain is: + + boundary problem definition -> interval-wise boundary response -> coefficient tensors -> potential/kinetic operator blocks -> interval energy -> scalar interpretation + +Do not hard-code: + +- the included boundary ladder; +- a single list of expected numbers; +- only the final growth-rate-like scalar; +- only one matrix block while leaving the interval-energy path inconsistent. + +Do not bypass the coefficient/operator path by writing directly into the final +report. The implementation should support the general boundary-regime workflow +represented by the supplied task. + +Internet access is not available during evaluation. diff --git a/tasks/task_013/metadata.json b/tasks/task_013/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ff91563c092e1d010dc60c85d067a55cd1cef498 --- /dev/null +++ b/tasks/task_013/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "013", + "title": "Establish boundary-regime operator and energy closure in the TERPSICHORE-native path", + "domain": "plasma-stability", + "language": "python", + "source_repository": "https://github.com/PlasmaControl/DESC", + "source_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", + "source_license": "UNKNOWN", + "license_source": "not-detected", + "gpl_family": false, + "public_payload_sha256": "26223383f9ae3d913f440b76d92579dbf8a8db816c578b4b3f9d1ceacac2f0d5" +} diff --git a/tasks/task_013/task.toml b/tasks/task_013/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..a8458c9ccd928a4d902ed5928af3f62c96c439df --- /dev/null +++ b/tasks/task_013/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-013" +description = "Establish boundary-regime operator and energy closure in the TERPSICHORE-native path" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "013" +language = "python" +base_commit_hash = "ab1c5a33031a2e64581f5e663ef8e2f6203a5220" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-013:v0.1.0@sha256:440fac5af67d594f3353b77e800fd23a0b0b57c6ce8b491cfa96fa70f8386ae6" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_013" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0@sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_013" + +[[verifier.collect]] +command = "cd /app/task_013 && git config --global --add safe.directory /app/task_013 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_013/tests/Dockerfile b/tasks/task_013/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..a6001a5926bb5736ed545df22aa84345e67d0a16 --- /dev/null +++ b/tasks/task_013/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-013:v0.1.0@sha256:f68b8c823724cca42f43145922859e183a018c5ea9c4205fe5b61e3ecebac878 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_013/tests/test.sh b/tasks/task_013/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_013/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_014/environment/Dockerfile b/tasks/task_014/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..308885d58ce34c4d3970e0f42ae5d618af15a9bf --- /dev/null +++ b/tasks/task_014/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_014 +COPY repo/ /app/task_014/source/ +COPY public/ /app/task_014/ +COPY requirements.lock /app/task_014/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_014:/app/task_014/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_014/instruction.md b/tasks/task_014/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..e3673fc9fe545b72aea119be486fe585bcf1f6b5 --- /dev/null +++ b/tasks/task_014/instruction.md @@ -0,0 +1,43 @@ +# Complete the Native Multi-Equilibrium TERPSICHORE Workflow + +The supplied source is a substantial DESC-native migration of a three-dimensional +ideal-MHD stability workflow. It can load and represent several equilibrium +families, and it contains lower-level geometry, spectral, operator, solver, and +energy components. It does not yet provide one complete and trustworthy native +workflow for a researcher who submits a new supported VMEC/DESC equilibrium. + +Inspect the source and run: + +```bash +python reproduce.py +python reproduce.py --check +``` + +The public reproduction uses the same high-level input path for an axisymmetric +control equilibrium and a genuinely three-dimensional equilibrium. It reports +whether each end-to-end native calculation completes and records the resulting +finite stability scalars without inferring a repair location from internal +source structure. A candidate scientific-chain exception or non-finite result +is reported only as a coarse scientific failure; fixture, path, import, and +dependency failures are reported separately as runner failures. + +Complete the implementation so that supported stellarator-symmetric equilibria +can traverse this scientific workflow through one native path. The implementation +must preserve the meaning of intermediate quantities and remain general across +equilibrium metadata, field periods, spectral content, and discretization. + +Your implementation will be evaluated on additional equilibria, resolution and +mode changes, a full-domain vacuum/wall configuration, and an unsupported +asymmetric representation that must be rejected explicitly. + +Do not: + +- hard-code fixture names, dimensions, field periods, arrays, or final scalars; +- use precomputed comparison arrays as inputs to the production calculation; +- call the external TERPSICHORE executable as the implementation; +- make a report claim success when an upstream scientific stage is unavailable; +- silently discard asymmetric Fourier content; +- solve only the public cases or only the final growth-rate scalar. + +The task workspace and fixtures are available offline. The goal is capability +completion, not a local text or branch patch. diff --git a/tasks/task_014/metadata.json b/tasks/task_014/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c50e8a311d9e260ef706fc05ddb18d729ff85569 --- /dev/null +++ b/tasks/task_014/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "014", + "title": "Complete the native multi-equilibrium TERPSICHORE workflow", + "domain": "plasma-stability", + "language": "python", + "source_repository": "https://github.com/PlasmaControl/DESC", + "source_commit": "ab1c5a33031a2e64581f5e663ef8e2f6203a5220", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "96a3a4ff010c69e1334bd8f8ca21d9461508c60e7bdcc76d6982e7519a3dd5f7" +} diff --git a/tasks/task_014/task.toml b/tasks/task_014/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..a2ea1e07b387bdd05a31a333dfe1b5e3a62c2975 --- /dev/null +++ b/tasks/task_014/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-014" +description = "Complete the native multi-equilibrium TERPSICHORE workflow" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "014" +language = "python" +base_commit_hash = "ab1c5a33031a2e64581f5e663ef8e2f6203a5220" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-014:v0.1.0@sha256:d43ca8fee4244a69302cb5c69bbefa88e6ded15761589ed73c56f2e6077ffb10" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_014" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0@sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_014" + +[[verifier.collect]] +command = "cd /app/task_014 && git config --global --add safe.directory /app/task_014 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_014/tests/Dockerfile b/tasks/task_014/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..8cd33c739f076c656476d31f193242a29a5b378d --- /dev/null +++ b/tasks/task_014/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-014:v0.1.0@sha256:9d4ec1597ff0ea20e8355f790a4d8fcb0198dec12a7ccfefe6a18cdd205b7362 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_014/tests/test.sh b/tasks/task_014/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_014/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_015/environment/Dockerfile b/tasks/task_015/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..19638dd390616b408ac89006596449824229ecd3 --- /dev/null +++ b/tasks/task_015/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=1 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_015 +COPY repo/ /app/task_015/source/ +COPY public/ /app/task_015/ +COPY requirements.lock /app/task_015/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_015:/app/task_015/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_015/instruction.md b/tasks/task_015/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..193d3b3c93c343a30b9cfe72d943f85eab5f6c7d --- /dev/null +++ b/tasks/task_015/instruction.md @@ -0,0 +1,26 @@ +# Repair a scientific finite-temperature workflow + +This task contains a pinned snapshot of the open-source Spinach spin-dynamics +library and an offline scientific reproduction. A finite-temperature relaxation +experiment produces an unexpected result: a state calculated as thermal +equilibrium can drift under the corresponding relaxation dynamics, and +equivalent Liouville-space representations can disagree about the same +physical experiment. + +Investigate the issue as a scientific-software problem. Read the supplied +scientific context, run the reproduction, and inspect the surrounding source +behavior before editing. Repair the implementation so that the physical +behavior of the workflow is restored without changing the public API. + +The goal is one coherent repair, not a fixture-specific workaround. Preserve +the scientific meaning of the workflow outside the displayed experiment and +do not hard-code its inputs, dimensions, or reported categories. + +Run the public reproduction with: + +```bash +python reproduce.py +``` + +Keep generated files under `outputs/` and do not rely on network access, +MATLAB, or external data. diff --git a/tasks/task_015/metadata.json b/tasks/task_015/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1067d7490707a605a2852eb138b4cd2e4228b39d --- /dev/null +++ b/tasks/task_015/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "015", + "title": "Restore thermal-equilibrium invariants in a Liouville-space relaxation workflow", + "domain": "magnetic-resonance-spin-dynamics", + "language": "matlab-octave", + "source_repository": "https://github.com/IlyaKuprov/Spinach", + "source_commit": "", + "source_license": "MIT", + "license_source": "LICENSE.md", + "gpl_family": false, + "public_payload_sha256": "af27bc600100b47a8f5e5bf4102267581618fe4720fbad521134ab3e0923f9d2" +} diff --git a/tasks/task_015/task.toml b/tasks/task_015/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..cc2be720fa0a72c52c76ed62179d12d0e70e1f84 --- /dev/null +++ b/tasks/task_015/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-015" +description = "Restore thermal-equilibrium invariants in a Liouville-space relaxation workflow" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "015" +language = "matlab-octave" +base_commit_hash = "" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-015:v0.1.0@sha256:b7ff9bd36cb3192e650ec44bf8e67c759a2082b0c7e4e75ed482995d476ba25b" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_015" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-015:v0.1.0@sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_015" + +[[verifier.collect]] +command = "cd /app/task_015 && git config --global --add safe.directory /app/task_015 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_015/tests/Dockerfile b/tasks/task_015/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..27e9ccdb27b74931f812a8bf3a4128215a46761c --- /dev/null +++ b/tasks/task_015/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-015:v0.1.0@sha256:c177454ee8a6507ed2decf46b803a405d92b326da3d7de660197e125ff273699 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_015/tests/test.sh b/tasks/task_015/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_015/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_016/environment/Dockerfile b/tasks/task_016/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..a6e8a48122c747a2c250807ca87f81c2f171b347 --- /dev/null +++ b/tasks/task_016/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.12-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=1 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_016 +COPY repo/ /app/task_016/source/ +COPY public/ /app/task_016/ +COPY requirements.lock /app/task_016/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_016:/app/task_016/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_016/instruction.md b/tasks/task_016/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..9d8e092b003e5d8c1e1d15bef58140a797eccafc --- /dev/null +++ b/tasks/task_016/instruction.md @@ -0,0 +1,23 @@ +Inspect the MACS3 source tree and public reproduction. Repair the scientific +peak-refinement workflow so that +valid ATAC-seq candidate regions can be processed together with a sparse +fold-change signal track across legitimate breakpoint and resolution patterns. + +Preserve the scientific meaning of genomic interval boundaries, quantitative +scores, and summit locations for ordinary cases. The scored workflow in this +task follows the historical array-backed `bedGraphTrackI` path used by the +upstream regression. The repair must remain valid across nested, adjacent, and +breakpoint-misaligned intervals. Do not hard-code the public chromosome names, +coordinates, values, case names, or output counts. + +Within each chromosome, score segments are ordered scientific evidence. Once a +segment's evidence has been consumed by and attributed to a completed refined +peak, it must not be counted or attributed again to a later overlapping or +nested candidate. A candidate with no remaining supporting evidence need not +emit a record. This is a result-level attribution requirement; the traversal, +state representation, and implementation strategy are intentionally left open. + +Run `python reproduce.py` from this task directory to build the local MACS3 +runtime and inspect the public symptom. You may edit the source tree and run +the reproduction repeatedly. Do not add generated Cython build products to +your patch. diff --git a/tasks/task_016/metadata.json b/tasks/task_016/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b10bff100d041587c58e012639c209e8edb39398 --- /dev/null +++ b/tasks/task_016/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "016", + "title": "Repair HMMRATAC peak refinement under sparse signal resolution", + "domain": "chromatin-accessibility peak calling", + "language": "python-cython", + "source_repository": "https://github.com/macs3-project/MACS", + "source_commit": "a341a2f0ede26735f744d6d5e3b0f7ac1861cfe9", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "f5081627aa86c9f9d3d969a2ee3aafc57da27d078b1da0987c6fb2e619a5eee0" +} diff --git a/tasks/task_016/task.toml b/tasks/task_016/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..c5ed16d080087aedf7c7e93ba6fa8a3bd8cf0b1d --- /dev/null +++ b/tasks/task_016/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-016" +description = "Repair HMMRATAC peak refinement under sparse signal resolution" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "016" +language = "python-cython" +base_commit_hash = "a341a2f0ede26735f744d6d5e3b0f7ac1861cfe9" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-016:v0.1.0@sha256:6d34aa3b31fbe05c100f041765d9a80c9a389db4a58dd3dec6d051cf756b9ff3" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_016" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-016:v0.1.0@sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_016" + +[[verifier.collect]] +command = "cd /app/task_016 && git config --global --add safe.directory /app/task_016 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_016/tests/Dockerfile b/tasks/task_016/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..b108b9fa3b7daefe963e613d0fb7743b66c4b24c --- /dev/null +++ b/tasks/task_016/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-016:v0.1.0@sha256:9b8e3efae0b9f9978ac842d43bcb7ac279f98d5a5c8ad91bc06286d55b60116d +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_016/tests/test.sh b/tasks/task_016/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_016/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_017/environment/Dockerfile b/tasks/task_017/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..1c87053f768779175bfef4b9e61272d9d30068c8 --- /dev/null +++ b/tasks/task_017/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.12-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_017 +COPY repo/ /app/task_017/source/ +COPY public/ /app/task_017/ +COPY requirements.lock /app/task_017/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_017:/app/task_017/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_017/instruction.md b/tasks/task_017/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..be7e8d384fcdebb5bcf1e82e98c3f955658be9ff --- /dev/null +++ b/tasks/task_017/instruction.md @@ -0,0 +1,25 @@ +# Repair a scientific dark-matter map workflow + +This task contains a pinned source snapshot of Gammapy and an offline +reproduction of a dark-matter line-of-sight calculation. A map that is valid +for a small field of view becomes unusable for a wider field, and calculations +that do complete must still represent the intended astrophysical integral. + +Inspect the relevant source documentation and call graph, then repair the +implementation so that the dark-matter spatial calculation remains +scientifically valid across the supported geometries, profiles, units, and +annihilation/decay modes. + +The goal is one general scientific repair. Preserve the existing public API and +do not hard-code the public map, a particular profile, an angular width, a +matrix shape, or expected numerical values. Keep the repair inside the source +snapshot and do not modify the test harness. + +Run the public symptom reproduction with: + +```bash +python reproduce.py +``` + +The evaluator is offline. Do not download catalogs, query remote services, or +depend on a local absolute path. Generated reports belong under `outputs/`. diff --git a/tasks/task_017/metadata.json b/tasks/task_017/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a7c83d27fb9683fa0f0b527583a1dbf08151a112 --- /dev/null +++ b/tasks/task_017/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "017", + "title": "Repair dark-matter line-of-sight maps in Gammapy", + "domain": "gamma-ray-astronomy-dark-matter", + "language": "python", + "source_repository": "https://github.com/gammapy/gammapy", + "source_commit": "", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE.rst", + "gpl_family": false, + "public_payload_sha256": "476c49a1d6b135cff30022badc617bc976d384dc4fa3470c8255334cfcfc1175" +} diff --git a/tasks/task_017/task.toml b/tasks/task_017/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..8a58a66352d7fbad26958281ec6c32dadf0949e0 --- /dev/null +++ b/tasks/task_017/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-017" +description = "Repair dark-matter line-of-sight maps in Gammapy" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "017" +language = "python" +base_commit_hash = "" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-017:v0.1.0@sha256:8dd3e5daae6c78f1bcf4a9713aa983048d6ed8a25a221792a6c09d5b0b6e8628" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_017" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-017:v0.1.0@sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_017" + +[[verifier.collect]] +command = "cd /app/task_017 && git config --global --add safe.directory /app/task_017 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_017/tests/Dockerfile b/tasks/task_017/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..35844340ff3cee82a0ab69791dc1817ef61e55cc --- /dev/null +++ b/tasks/task_017/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-017:v0.1.0@sha256:d5e1f280d98ae2142f4a5a88f2203681710ecffa75544f59464f87d1b0de6fda +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_017/tests/test.sh b/tasks/task_017/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_017/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_018/environment/Dockerfile b/tasks/task_018/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..1604e12d7bf87ebe9bc4a90298f1393199390794 --- /dev/null +++ b/tasks/task_018/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=1 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_018 +COPY repo/ /app/task_018/source/ +COPY public/ /app/task_018/ +COPY requirements.lock /app/task_018/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_018:/app/task_018/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_018/instruction.md b/tasks/task_018/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..0cac5653c4a8928bac2cd1ba8dce5ffd637b3fcb --- /dev/null +++ b/tasks/task_018/instruction.md @@ -0,0 +1,34 @@ +# Repair a scientifically inconsistent HMMRATAC workflow + +The supplied directory contains a pinned snapshot of MACS3, including the real +HMMRATAC implementation used to infer accessible chromatin from ATAC-seq +fragments. The offline reproduction exposes an unexpected behavior: adding a +genomic exclusion mask can change model-input statistics and derived behavior on +chromosomes that are not covered by the mask. + +Inspect the HMMRATAC documentation in `source/` and the complete +fragment-to-model call graph, and repair the implementation so the exclusion mask +has the intended scientific meaning throughout the workflow. The repair must work +for ordinary paired-end fragment data and count-bearing single-cell fragment data, +preserve half-open interval semantics, and keep count and barcode bookkeeping +consistent for count-bearing fragment data. + +Duplicate retention and duplicate-related CLI naming are intentionally outside +the scope of this task. Preserve the existing duplicate policy and do not add, +remove, rename, or reinterpret duplicate flags. Repeated coordinates in the +fixtures are there to verify that blacklist filtering preserves the existing +record multiplicity and count/barcode associations. + +This is a capability repair, not a fixture-specific patch. Do not hard-code the +public chromosomes, coordinates, lengths, counts, or expected outputs. Preserve +the existing public workflow and keep all generated files under `outputs/`. + +Run the public reproduction with: + +```bash +python reproduce.py +``` + +Treat the supplied case as one observation of the workflow defect. The repair +must preserve the documented scientific and record-association semantics for +other valid inputs supported by the same production paths. diff --git a/tasks/task_018/metadata.json b/tasks/task_018/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5629ce97147672a5f48e9b87283bade4a27b5d2 --- /dev/null +++ b/tasks/task_018/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "018", + "title": "Restore blacklist semantics in an HMMRATAC chromatin-accessibility workflow", + "domain": "epigenomics-atac-seq-hmm", + "language": "python-cython", + "source_repository": "https://github.com/macs3-project/MACS", + "source_commit": "f01cb680e239192484ab672b9e34531b1403eb3d", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "ad3688322c62612c1fec8dc19b8a57624ede929b541d54972e719d4f1f253ab8" +} diff --git a/tasks/task_018/task.toml b/tasks/task_018/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..4c803ac75bd7515e90a88040dacf476d64b0e381 --- /dev/null +++ b/tasks/task_018/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-018" +description = "Restore blacklist semantics in an HMMRATAC chromatin-accessibility workflow" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "018" +language = "python-cython" +base_commit_hash = "f01cb680e239192484ab672b9e34531b1403eb3d" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-cython-task-018:v0.1.0@sha256:89e99d411185696887e7f538559b5b6b7e96ef80826e567686b38a7c236ba0e6" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_018" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-018:v0.1.0@sha256:8b1dd5120cf838ae85b5b2824d2d9fdf419b830b49127d10e3c0d34ef38ead8e" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_018" + +[[verifier.collect]] +command = "cd /app/task_018 && git config --global --add safe.directory /app/task_018 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_018/tests/Dockerfile b/tasks/task_018/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..5f87c1e31411f417e96d030e63b41a95dd1693f2 --- /dev/null +++ b/tasks/task_018/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-cython-task-018:v0.1.0@sha256:8b1dd5120cf838ae85b5b2824d2d9fdf419b830b49127d10e3c0d34ef38ead8e +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_018/tests/test.sh b/tasks/task_018/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_018/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_019/environment/Dockerfile b/tasks/task_019/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..7da981c1b541ed8cad17d919a5c8d03f153d8996 --- /dev/null +++ b/tasks/task_019/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_019 +COPY repo/ /app/task_019/source/ +COPY public/ /app/task_019/ +COPY requirements.lock /app/task_019/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_019:/app/task_019/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_019/instruction.md b/tasks/task_019/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..6c3d7ae92890b72d1391baa3ab2aec56bcd806d3 --- /dev/null +++ b/tasks/task_019/instruction.md @@ -0,0 +1,44 @@ +# Complete robust topic-to-cistrome binarization + +The included pycisTopic source can turn topic distributions attached to a full +cisTopic model into selected cell or region sets. A downstream workflow now +needs to consume probability matrices exported independently from topic-model +training and produce the discrete topic sets used for motif enrichment and +cistrome construction. + +The current source does not complete that workflow reliably. The public +reproduction exercises both region-topic and cell-topic inputs, including +zero-heavy probabilities at the precision used by exported matrices. It reports +that the required topic sets or portable output artifacts cannot be produced +consistently. + +Inspect the source snapshot and fixtures, and complete the +scientific capability so that independent topic-probability matrices can be +validated, optionally smoothed, thresholded, ranked and exported without a full +in-memory cisTopic object. + +Requirements: + +- support matrices whose rows are named cells or genomic regions and whose + columns are topics; +- preserve name-to-score alignment and deterministic descending ranking; +- support top-n selection and the histogram-based thresholding methods already + documented by the source; +- remain numerically finite for zero-heavy `float32` topic probabilities; +- treat constant topics as having no separable evidence rather than selecting + every row because of a histogram artifact; +- reject duplicate names, non-finite values, invalid `ntop` bounds and malformed + genomic intervals; +- produce the required portable downstream artifacts, including + deterministic threshold tables, cell tables and BED-compatible region tables; +- retain the existing object-based entry point where practical; +- do not hard-code the public names, topic count, matrix shape or expected + selected sets. + +Run the public workflow with: + +```bash +python reproduce.py +``` + +The benchmark runs offline. Generated files belong under `outputs/`. diff --git a/tasks/task_019/metadata.json b/tasks/task_019/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f1eec795f49d66778ca36cce550d5119916660e8 --- /dev/null +++ b/tasks/task_019/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "019", + "title": "Complete robust topic-to-cistrome binarization for independent probability matrices", + "domain": "single-cell-chromatin-accessibility", + "language": "python", + "source_repository": "https://github.com/aertslab/pycisTopic", + "source_commit": "cb5f54111d2affd89ad732c20c14dab6138026f0", + "source_license": "UNKNOWN", + "license_source": "LICENSE.txt", + "gpl_family": false, + "public_payload_sha256": "c4b61cbc1c1a90b7f7263eb3c0536a2595d0d3c66d7ee9b83633b576ad02123b" +} diff --git a/tasks/task_019/task.toml b/tasks/task_019/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..40fbd88c83576e3b1bee4e5c8fedc73507338426 --- /dev/null +++ b/tasks/task_019/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-019" +description = "Complete robust topic-to-cistrome binarization for independent probability matrices" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "019" +language = "python" +base_commit_hash = "cb5f54111d2affd89ad732c20c14dab6138026f0" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-019:v0.1.0@sha256:2640cbaa3fbd5ede86dd353b7f48173230d80448581bbacc6d434b9a13f9966c" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_019" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-019:v0.1.0@sha256:ffba9cf85dd9585323f72ac3e160da993c4f9ebb66846aa95071a62346e62330" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_019" + +[[verifier.collect]] +command = "cd /app/task_019 && git config --global --add safe.directory /app/task_019 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_019/tests/Dockerfile b/tasks/task_019/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..bbebb0806a30b0d67a02953e08eaaba091c01d01 --- /dev/null +++ b/tasks/task_019/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-019:v0.1.0@sha256:ffba9cf85dd9585323f72ac3e160da993c4f9ebb66846aa95071a62346e62330 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_019/tests/test.sh b/tasks/task_019/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_019/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_020/environment/Dockerfile b/tasks/task_020/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..b3ac3f5bae6d23d6b855393b2278d7fa334e955e --- /dev/null +++ b/tasks/task_020/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_020 +COPY repo/ /app/task_020/source/ +COPY public/ /app/task_020/ +COPY requirements.lock /app/task_020/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_020:/app/task_020/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_020/instruction.md b/tasks/task_020/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..a0c8b0b244972c5561ecdf63decee27ca35e7a3a --- /dev/null +++ b/tasks/task_020/instruction.md @@ -0,0 +1,57 @@ +# Complete the edge-graph scientific capability + +The source tree is a real intermediate snapshot from the development of an +atomistic-model backend. It contains the first public data contract for a +`NeighborGraph`, but the surrounding scientific capability is incomplete. + +A downstream model must be able to start from atom coordinates and, for both +ordinary and periodic systems, construct a graph whose edges represent the +neighbor displacements used by the potential-energy model. The same graph must +remain usable when the number of edges is padded for a compiled/static backend. +Per-edge energy derivatives must then be transformed into per-atom forces, +per-atom virials, and one virial for each frame. Empty frames, isolated atoms, +virtual atoms, periodic-image neighbors, and padded guard edges are all valid +scientific situations rather than exceptional test-only cases. + +Inspect the source context, run `python reproduce.py`, and +complete the reusable capability under `source/`. Preserve the public data +contract where it is already meaningful, and keep the implementation usable +with NumPy and the array-API style used by the source snapshot. + +The package-level public API for the completed capability is explicit. Export +these names from `deepmd.dpmodel.utils` (the implementation may live in any +module under `deepmd/dpmodel/utils/`): + +- `build_neighbor_graph` +- `from_dense_quartet` +- `node_validity_mask` +- `segment_sum` and `segment_mean` +- `edge_force_virial` + +The file layout is your choice; hidden verification checks these public +behaviors through the package namespace rather than requiring a particular +internal module split. + +The derivative contract is also part of the public behavior. For +`edge_vec = r_src - r_dst` and `g = dE / d(edge_vec)`, use + +```text +F_k = sum(g for edges with dst=k) - sum(g for edges with src=k) +edge_virial = -outer(g, edge_vec) +``` + +Attribute a complete edge virial to its source atom, ignore masked guard edges, +and return one `(3, 3)` virial per frame. Reject non-positive cutoffs and +inconsistent coordinate, type, or cell shapes with `ValueError` rather than +silently producing an empty or misaligned graph. + +The result must be a coherent workflow, not a fixture-specific patch. It must +support more than the public coordinates, more than one frame, and more than +one edge count. Do not hard-code atom indices, distances, edge counts, force +values, or a particular periodic cell. Keep the sign and tensor-layout +conventions explicit in code and documentation so a downstream model can rely +on them. + +The public reproduction is only a starting point. A successful solution must +also preserve ordinary non-periodic behavior while adding the missing general +scientific cases. diff --git a/tasks/task_020/metadata.json b/tasks/task_020/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ddd4cbd4e937718fe469f74d5476577e2d155150 --- /dev/null +++ b/tasks/task_020/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "020", + "title": "Complete an edge-graph geometry and force/virial capability for atomistic models", + "domain": "atomistic-machine-learning-and-molecular-simulation", + "language": "python", + "source_repository": "https://github.com/deepmodeling/deepmd-kit", + "source_commit": "44f44acb2b9a56f55609ec7f0594d9b6fa01cb92", + "source_license": "UNKNOWN", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "1eb7c271d3ba3c73397b1816eb9611b768d65b17e5f5fa1d083fecbc6472ea2e" +} diff --git a/tasks/task_020/task.toml b/tasks/task_020/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..d594797d29f65f246214030d3ab11e5af8df4e0e --- /dev/null +++ b/tasks/task_020/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-020" +description = "Complete an edge-graph geometry and force/virial capability for atomistic models" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "020" +language = "python" +base_commit_hash = "44f44acb2b9a56f55609ec7f0594d9b6fa01cb92" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-020:v0.1.0@sha256:da151294981c7487cd2b48c3b2f95eee3a66afca3ff00e2ea1e8bc4e24dc8443" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_020" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-020:v0.1.0@sha256:373d19decc97090d881cd8c39d3e9b8eeb9481ec4f7d2dfdda10b29ec11b92f6" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_020" + +[[verifier.collect]] +command = "cd /app/task_020 && git config --global --add safe.directory /app/task_020 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_020/tests/Dockerfile b/tasks/task_020/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..dda4d1d0b32caf4ae61b571a1206c5ae68ea070e --- /dev/null +++ b/tasks/task_020/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-020:v0.1.0@sha256:373d19decc97090d881cd8c39d3e9b8eeb9481ec4f7d2dfdda10b29ec11b92f6 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_020/tests/test.sh b/tasks/task_020/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_020/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_021/environment/Dockerfile b/tasks/task_021/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..d1b849c633a0ed88f4dcb88aa7e57fc37b8ed5c7 --- /dev/null +++ b/tasks/task_021/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_021 +COPY repo/ /app/task_021/source/ +COPY public/ /app/task_021/ +COPY requirements.lock /app/task_021/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_021:/app/task_021/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_021/instruction.md b/tasks/task_021/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..57779c0f646eddaf65fa9b64f99dcf32c9875931 --- /dev/null +++ b/tasks/task_021/instruction.md @@ -0,0 +1,23 @@ +# Complete a Missing Atomic-Liquid Thermodynamic-Integration Capability + +The supplied source is a snapshot of a real research workflow for atomic-liquid +Hamiltonian thermodynamic integration. It generates simulation inputs for a +coupling path between a reference interaction and a target atomistic model. + +Some scientifically valid workloads are not represented consistently by the +current implementation. The discrepancy is easy to miss in an ordinary +interior case, but becomes visible when the coupling path reaches its boundary +or when the system contains more than one chemical element with non-identical +interaction parameters. + +Use the source snapshot and public generated-input artifacts to investigate the +scientific inconsistency and complete the missing +workflow capability. Preserve the existing public APIs and behavior outside the +affected scientific cases. The implementation must generalize across supported +element counts and parameter representations; do not hard-code the public +fixtures or their numeric values. + +The public reproduction is generation-only and offline. It does not require a +LAMMPS executable, a machine-learning model, a scheduler, network access, or +external files. The benchmark evaluates the scientific behavior of the generated +workflow rather than a particular textual patch. diff --git a/tasks/task_021/metadata.json b/tasks/task_021/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7662348726d163cd02cdc7c947d4d20664fe5c67 --- /dev/null +++ b/tasks/task_021/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "021", + "title": "Complete a missing atomic-liquid thermodynamic-integration capability", + "domain": "atomistic thermodynamic integration and free-energy calculation", + "language": "python", + "source_repository": "https://github.com/deepmodeling/dpti", + "source_commit": "9d90fd83c1eec85b7e204bb87f281df0b592623a", + "source_license": "LGPL-3.0-family", + "license_source": "LICENSE", + "gpl_family": true, + "public_payload_sha256": "dd6fb60643f7b22fd56015f0d3b55317f55d72fbd7593b4bbffddfebefd29774" +} diff --git a/tasks/task_021/task.toml b/tasks/task_021/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..acfb600350074c9c241f6b3444b67f621fcf08ea --- /dev/null +++ b/tasks/task_021/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-021" +description = "Complete a missing atomic-liquid thermodynamic-integration capability" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "021" +language = "python" +base_commit_hash = "9d90fd83c1eec85b7e204bb87f281df0b592623a" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-021:v0.1.0@sha256:67e1047313c9010d69249bed758dfad28ef6108ac3627b3ae39149fcbb90a00e" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_021" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-021:v0.1.0@sha256:4556f2a24cf62743731721b1c2e36f82a08ca5c173f639e47b305e93bcd2013d" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_021" + +[[verifier.collect]] +command = "cd /app/task_021 && git config --global --add safe.directory /app/task_021 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_021/tests/Dockerfile b/tasks/task_021/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..94c4b69e79eee61d041f6a6f6e7ce98a8839c24e --- /dev/null +++ b/tasks/task_021/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-021:v0.1.0@sha256:4556f2a24cf62743731721b1c2e36f82a08ca5c173f639e47b305e93bcd2013d +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_021/tests/test.sh b/tasks/task_021/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_021/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_022/environment/Dockerfile b/tasks/task_022/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..4108f05e9408e9cfb86f692b2aeac8f5e753bf8f --- /dev/null +++ b/tasks/task_022/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_022 +COPY repo/ /app/task_022/source/ +COPY public/ /app/task_022/ +COPY requirements.lock /app/task_022/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_022:/app/task_022/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_022/instruction.md b/tasks/task_022/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..10e10bfecb1c097d10595e5691daa7a691ded3d1 --- /dev/null +++ b/tasks/task_022/instruction.md @@ -0,0 +1,33 @@ +# Investigate a volume-to-surface projection anomaly + +The supplied source is a real snapshot of a published neuroimaging analysis +library. In one volume-to-surface workflow, a volumetric product distributed +with an anatomical lookup table is mapped onto a cortical surface. The command +completes, but some finite surface values cannot be associated with any row of +that table. + +Treat this as a scientific reproduction investigation rather than a textual +patch task. Inspect the source and the public reproduction, +reproduce the anomaly, and determine why the projected result is incompatible +with the accompanying scientific metadata. Repair the public +volume-to-surface workflow so that the result can be used in the downstream +analysis while other documented uses remain compatible. + +The repair should generalize beyond the supplied example and should not be +specialized to one volume, surface, or lookup table. Preserve the library's +documented behavior for other supported inputs and geometries. + +Do not hard-code the public volume, table entries, mesh, sample count, affine, or +expected output. Do not modify `reproduce.py`, the fixtures, or the evaluation +harness. Work inside the supplied source snapshot and keep the task runnable +without network access. + +Run the public workflow with: + +```bash +python reproduce.py +``` + +The initial snapshot is expected to report the observed scientific anomaly. +After your repair it should report `post_fix_success`. Generated files belong +under `outputs/`. diff --git a/tasks/task_022/metadata.json b/tasks/task_022/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7cc4ef99baa2dabfed4b144f3dd59ca3647a4108 --- /dev/null +++ b/tasks/task_022/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "022", + "title": "Repair an inconsistent volume-to-surface projection", + "domain": "neuroimaging", + "language": "python", + "source_repository": "https://github.com/nilearn/nilearn", + "source_commit": "fefa4d30c262384ebda0f1123a1691abf466a9f0", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "99582a2c2af2ba02e144bae7f74fc0d2921c2b6f81e05bb9be8dcc8de6f6fe74" +} diff --git a/tasks/task_022/task.toml b/tasks/task_022/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..17e36a3aac55ed3fcbf75a8410f735b44d782f5d --- /dev/null +++ b/tasks/task_022/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-022" +description = "Repair an inconsistent volume-to-surface projection" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "022" +language = "python" +base_commit_hash = "fefa4d30c262384ebda0f1123a1691abf466a9f0" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-022:v0.1.0@sha256:0c0ed46caaa7b0d52a862dad6461ebdc165396fe7f96e8e50df3e4fed8155cf2" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_022" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-022:v0.1.0@sha256:ae3adfc761d0744164c6e5e45f686cd766b5ceb1ac17c8c590ce074e0dee938e" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_022" + +[[verifier.collect]] +command = "cd /app/task_022 && git config --global --add safe.directory /app/task_022 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_022/tests/Dockerfile b/tasks/task_022/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..f32df44334f938a7d1758192dce568b14b243bda --- /dev/null +++ b/tasks/task_022/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-022:v0.1.0@sha256:ae3adfc761d0744164c6e5e45f686cd766b5ceb1ac17c8c590ce074e0dee938e +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_022/tests/test.sh b/tasks/task_022/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_022/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_023/environment/Dockerfile b/tasks/task_023/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..016d2e3a27f6874efe9a79b45c5c655d2bd9d29d --- /dev/null +++ b/tasks/task_023/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_023 +COPY repo/ /app/task_023/source/ +COPY public/ /app/task_023/ +COPY requirements.lock /app/task_023/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_023:/app/task_023/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_023/instruction.md b/tasks/task_023/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..32acfd42f241a6042f01adab30ff67c9dc23de57 --- /dev/null +++ b/tasks/task_023/instruction.md @@ -0,0 +1,30 @@ +# Restore continuous periodic trajectories in changing cells + +You are repairing a scientific trajectory-analysis workflow in the supplied +MDAnalysis source snapshot. The workflow is used to remove artificial jumps +caused by periodic boundary wrapping before quantities such as mean-square +displacement and diffusion are calculated. + +The current implementation behaves inconsistently for valid constant-pressure +molecular-dynamics trajectories whose periodic cell changes with time. In +particular, a trajectory can contain a physically continuous path but the +transformed result can retain a box-length jump. The same physical type of +motion can produce different results under different valid frame schedules, +even though the numerical motion obeys the method assumptions. + +Inspect the complete source snapshot and run +`python reproduce.py`. Repair the implementation so that the external +trajectory behavior follows the required variable-cell semantics for changing +orthorhombic and triclinic cells. The correction must work for +general atom counts, cell changes, and crossing directions; do not hard-code the +public coordinates or a single frame index. + +Preserve ordinary fixed-cell trajectories, the existing handling of missing or +singular periodic cells, and the diagnostic behavior for non-sequential frame +access. The transformation must also remain coherent when a +trajectory is traversed more than once through the normal MDAnalysis API. + +The public reproduction is only a small smoke diagnostic. Use the source call +graph to determine the complete behavior that needs to be repaired. Do not use the network or add external data files. Keep changes +limited to the scientific implementation and any focused tests or comments +that are necessary for a general fix. diff --git a/tasks/task_023/metadata.json b/tasks/task_023/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84a5417ede964ad789cbfea54d2ec60661daec6c --- /dev/null +++ b/tasks/task_023/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "023", + "title": "Restore continuous NPT periodic-boundary unwrapping", + "domain": "molecular-dynamics-periodic-boundary-analysis", + "language": "python", + "source_repository": "https://github.com/MDAnalysis/mdanalysis", + "source_commit": "2acd594449c02c2a354b07291031d89b50b52186", + "source_license": "AGPL-family", + "license_source": "LICENSE", + "gpl_family": true, + "public_payload_sha256": "153dcbad858d54261690a0f653963b8ef0fcbdb44087021be51c37bc07fc0f30" +} diff --git a/tasks/task_023/task.toml b/tasks/task_023/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..aa21fa1bbeb4449aa00aac358b933a7ad9073ba1 --- /dev/null +++ b/tasks/task_023/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-023" +description = "Restore continuous NPT periodic-boundary unwrapping" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "023" +language = "python" +base_commit_hash = "2acd594449c02c2a354b07291031d89b50b52186" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-023:v0.1.0@sha256:26adc2c4f41e400af9bd961ffbfd52711abd2f7a1856deac6eb462d4c6ebf8f9" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_023" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-023:v0.1.0@sha256:20999504b153a946750db97cc28b7458975f6399b7e146350955a1532ad140f4" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_023" + +[[verifier.collect]] +command = "cd /app/task_023 && git config --global --add safe.directory /app/task_023 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_023/tests/Dockerfile b/tasks/task_023/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..004bc7e92c610061102895002bc48f7e255561da --- /dev/null +++ b/tasks/task_023/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-023:v0.1.0@sha256:20999504b153a946750db97cc28b7458975f6399b7e146350955a1532ad140f4 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_023/tests/test.sh b/tasks/task_023/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_023/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_024/environment/Dockerfile b/tasks/task_024/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..b45f525c2c1f69c3079286a0e45f9053244c3d99 --- /dev/null +++ b/tasks/task_024/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_024 +COPY repo/ /app/task_024/source/ +COPY public/ /app/task_024/ +COPY requirements.lock /app/task_024/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_024:/app/task_024/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_024/instruction.md b/tasks/task_024/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..8f28b31567fded02355ac6b68ae316a8b454b151 --- /dev/null +++ b/tasks/task_024/instruction.md @@ -0,0 +1,20 @@ +# Restore coherent inference in a centered factorial-effects model + +A collaborative assay-calibration workflow uses the supplied PyMC source +snapshot to analyze measurements from several laboratories and protocols. The +Gaussian model contains centered laboratory effects, centered protocol effects, +and a centered laboratory-by-protocol interaction. The public workflow exposes +posterior observations and the declared identifying constraints; the verifier +checks the distribution semantics across additional shapes, scales, and +support configurations. + +Run `python reproduce.py` to reproduce the scientific discrepancy. Read the +supplied method material, inspect the complete source snapshot, and repair the +implementation so that the posterior calculation represents the documented +model for all supported inputs. Preserve the public distribution API and the +meaning of its scale and support. The repair must generalize beyond the public +laboratories, protocols, data matrix, prior scales, sampling seed, and reported +contrasts. + +Do not modify `reproduce.py`, `reproduction.md`, the fixture, task metadata, +or the evaluation harness. Generated files belong under `outputs/`. diff --git a/tasks/task_024/metadata.json b/tasks/task_024/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d2e4a1a9d3e7b4484b5fc1e97080623f32e3643 --- /dev/null +++ b/tasks/task_024/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "024", + "title": "Restore coherent inference in a centered factorial-effects model", + "domain": "probabilistic-scientific-computing", + "language": "python", + "source_repository": "https://github.com/pymc-devs/pymc", + "source_commit": "9ee5d84b5048aea0690bba2629ece684656ad186", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "ae7eec5199ff7cd1363660c5a2d49e369dbb293f720a4d40b77d6b4628945b82" +} diff --git a/tasks/task_024/task.toml b/tasks/task_024/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..7449cf74105e393ec3322828417a8f96ef23b141 --- /dev/null +++ b/tasks/task_024/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-024" +description = "Restore coherent inference in a centered factorial-effects model" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "024" +language = "python" +base_commit_hash = "9ee5d84b5048aea0690bba2629ece684656ad186" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-024:v0.1.0@sha256:6432ca66d7b714d23f5ce315cc1b3ce39dcf7937046d46be4bb470d059c92dcd" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_024" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-024:v0.1.0@sha256:e641ce128a4db3c75da315e0b85872c2f65a064badbb5e05a972fc4a71b2c30b" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_024" + +[[verifier.collect]] +command = "cd /app/task_024 && git config --global --add safe.directory /app/task_024 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_024/tests/Dockerfile b/tasks/task_024/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..681fce82a19310d174db46b1985a46b108f30bfb --- /dev/null +++ b/tasks/task_024/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-024:v0.1.0@sha256:e641ce128a4db3c75da315e0b85872c2f65a064badbb5e05a972fc4a71b2c30b +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_024/tests/test.sh b/tasks/task_024/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_024/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_025/environment/Dockerfile b/tasks/task_025/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..0280c45306f8d638e38305798f78625de0003a6a --- /dev/null +++ b/tasks/task_025/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=1 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_025 +COPY repo/ /app/task_025/source/ +COPY public/ /app/task_025/ +COPY requirements.lock /app/task_025/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_025:/app/task_025/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_025/instruction.md b/tasks/task_025/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..d937831d6894573821c8127ee5466c6b8069317d --- /dev/null +++ b/tasks/task_025/instruction.md @@ -0,0 +1,20 @@ +# Repair inconsistent cross-protocol Osprey validation reports + +A spectroscopy group is validating a historical Osprey snapshot with +deterministic checkpoints derived from one synthetic phantom study. All runs +complete and produce finite values, but two independent report panels are not +compatible across supported acquisition configurations: + +- a model-derived contribution changes substantially between edited + acquisition encodings that represent the same calibration; +- a downstream quantitative result changes substantially between acquisition + settings prepared to represent the same control. + +Run the public reproduction, inspect the project source, checkpoints, and data +structures, and repair the scientific +implementation. A valid repair must preserve legitimate dependence on sequence +design, basis content, fitted signals, acquisition metadata, field strength, +and supported correction models. + +Do not hard-code the visible records, replace either report with a fixed value, +or edit generated outputs. diff --git a/tasks/task_025/metadata.json b/tasks/task_025/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8b81a41fc4186078f16686ff0d9ff7f3b1f97caa --- /dev/null +++ b/tasks/task_025/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "025", + "title": "Repair inconsistent cross-protocol Osprey validation reports", + "domain": "edited-magnetic-resonance-spectroscopy-workflow", + "language": "matlab-octave", + "source_repository": "https://github.com/schorschinho/osprey", + "source_commit": "24e89ec3ac278cc642ce06cbbe30321155435e0b", + "source_license": "MIT", + "license_source": "LICENSE.md", + "gpl_family": false, + "public_payload_sha256": "f18821a41645c7f3e74d9406a0194df1526c47fa3f2538177fe027e5685252e3" +} diff --git a/tasks/task_025/task.toml b/tasks/task_025/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..42b1034a28c1da47460082e1ac49e899c1688920 --- /dev/null +++ b/tasks/task_025/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-025" +description = "Repair inconsistent cross-protocol Osprey validation reports" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "025" +language = "matlab-octave" +base_commit_hash = "24e89ec3ac278cc642ce06cbbe30321155435e0b" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-matlab-octave-task-025:v0.1.0@sha256:eebf7a8137f4a36b5d7f27d49bf52596cf342700ca016f003c723f1affab8626" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_025" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-025:v0.1.0@sha256:8da94067fe1009753dc73eaf8410b8fe743212c8c1929cc43cb450d3292aac01" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_025" + +[[verifier.collect]] +command = "cd /app/task_025 && git config --global --add safe.directory /app/task_025 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_025/tests/Dockerfile b/tasks/task_025/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..4630b1683477c65e2e4e601a2a775f5e8d20902a --- /dev/null +++ b/tasks/task_025/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-matlab-octave-task-025:v0.1.0@sha256:8da94067fe1009753dc73eaf8410b8fe743212c8c1929cc43cb450d3292aac01 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_025/tests/test.sh b/tasks/task_025/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_025/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_026/environment/Dockerfile b/tasks/task_026/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..ce83546929cf5b5eb27043fcccddbd8bfb93d356 --- /dev/null +++ b/tasks/task_026/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_026 +COPY repo/ /app/task_026/source/ +COPY public/ /app/task_026/ +COPY requirements.lock /app/task_026/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_026:/app/task_026/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_026/instruction.md b/tasks/task_026/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..cf2ed0dcc3b3ede8ce08a48650740a50b282afbf --- /dev/null +++ b/tasks/task_026/instruction.md @@ -0,0 +1,24 @@ +# Terrain-following atmospheric data on isentropic surfaces + +A researcher is using the supplied MetPy source snapshot to interpolate a +terrain-following atmospheric model dataset onto potential-temperature +surfaces. The reduced dataset is finite and carries the model-level coordinate, +thermodynamic state fields, units, and coordinate metadata normally available +to this workflow. The calculation does not produce an isentropic dataset, +although the requested surfaces cross the supplied atmospheric columns and +ordinary pressure-level products remain usable. + +Inspect the source, run the public reproduction, and repair the implementation +so that supported atmospheric datasets can be interpolated consistently with +the expected coordinate semantics. Preserve supported existing workflows and +generalize beyond the +public reduced dataset and numeric values. + +Run: + +```bash +python reproduce.py +``` + +Do not hard-code the public coordinate values, pressure profile, dimensions, or +expected output. The task must remain fully offline. diff --git a/tasks/task_026/metadata.json b/tasks/task_026/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dc0387e4b0443e5aa0a94240f386524a89cbb134 --- /dev/null +++ b/tasks/task_026/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "026", + "title": "Restore isentropic interpolation for terrain-following model data", + "domain": "atmospheric-science-isentropic-interpolation", + "language": "python", + "source_repository": "https://github.com/Unidata/MetPy", + "source_commit": "34d14b293c9e75dfff5422c0461d48731916d773", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "c348e11ed68dcfeb5261e14bff46bd8dde6ee4658836b1824c7207d1a581e57d" +} diff --git a/tasks/task_026/task.toml b/tasks/task_026/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..ec2a64746a7edb0a7cd7fee808f2fedb026aa7f6 --- /dev/null +++ b/tasks/task_026/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-026" +description = "Restore isentropic interpolation for terrain-following model data" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "026" +language = "python" +base_commit_hash = "34d14b293c9e75dfff5422c0461d48731916d773" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-026:v0.1.0@sha256:425b952ba92036d8fe6b7a240e0ee7a57ceafc456e68e8297d8d814e06988593" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_026" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-026:v0.1.0@sha256:46fadf320df6b6adca39a81c2e83a3f16f8fa486a2adfefdc56a0518edb5db45" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_026" + +[[verifier.collect]] +command = "cd /app/task_026 && git config --global --add safe.directory /app/task_026 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_026/tests/Dockerfile b/tasks/task_026/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..89468e3c5d917a2d129c1782e28203e3afc5476d --- /dev/null +++ b/tasks/task_026/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-026:v0.1.0@sha256:46fadf320df6b6adca39a81c2e83a3f16f8fa486a2adfefdc56a0518edb5db45 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_026/tests/test.sh b/tasks/task_026/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_026/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_027/environment/Dockerfile b/tasks/task_027/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..581dd6531702464f94421c8f206de61bdc53c8bd --- /dev/null +++ b/tasks/task_027/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_027 +COPY repo/ /app/task_027/source/ +COPY public/ /app/task_027/ +COPY requirements.lock /app/task_027/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_027:/app/task_027/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_027/instruction.md b/tasks/task_027/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..c1a5609ddc9d95192e3c6372967b4d8ddcaff7fa --- /dev/null +++ b/tasks/task_027/instruction.md @@ -0,0 +1,37 @@ +# Restore consistent NMR peak-set encoding under batch padding + +You are repairing a scientific machine-learning workflow in the supplied +NMRTrans source snapshot. The workflow encodes 1H and 13C NMR peak sets into +continuous representations that a decoder consumes for molecular structure +elucidation. The required representation treats spectra as unordered peak sets +and uses permutation-equivariant attention blocks followed by +permutation-invariant pooling. + +Different compounds produce different numbers of observed peaks, so spectra +are batched by appending dummy padding rows up to a common length and +recording which rows are real observations. A user running this encoding +workflow reports that the encoded spectrum is not stable under this batching: + +- Encoding the same spectrum with a different number of appended padding + rows changes the produced representations, even though the observed peaks + are identical. +- In a padded batch, the pooled spectrum-level representation barely + responds when a real observed peak is moved to a different chemical shift. + +Both observations contradict the required set-encoding contract: the encoded +representation must be a function of the observed peaks alone, and +it must respond to chemically meaningful changes in those peaks. + +Inspect the complete source snapshot and run `python reproduce.py`. Repair the implementation so that the peak-set +encoders satisfy the documented contract for all valid inputs. The repair +must generalize to arbitrary spectra, peak counts, padding lengths, random +initializations, and encoder configurations; do not hard-code the public +fixtures, specific tensor values, or a particular padding length. + +Keep the overall architecture (the stacked ISAB encoder, the PMA pooling, +the learnable tokens, and the projection layers) and the existing function +signatures intact, and preserve the documented input feature layout for both +modalities. The public reproduction is only a small smoke diagnostic; use the +source call graph to determine the complete behavior that needs to be repaired. Do not use the network or add external data files. +Keep changes limited to the scientific implementation and any focused +comments that are necessary for a general fix. diff --git a/tasks/task_027/metadata.json b/tasks/task_027/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3895a08df243b89d2ca310b3764a26f801959bd --- /dev/null +++ b/tasks/task_027/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "027", + "title": "Restore consistent NMR peak-set encoding under batch padding", + "domain": "ai4science-nmr-structure-elucidation", + "language": "python", + "source_repository": "https://github.com/little1d/NMRTrans", + "source_commit": "9e59a111d201c1c3aee6db079fe1ea2c6a2d8ba8", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "79aadb8a7614f24d2868a1e8d9bf303ea506294b937f5a76ae98a02cbe4eeb68" +} diff --git a/tasks/task_027/task.toml b/tasks/task_027/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..06df85d7e2cfabc36b346b7c7b2048cfe95199be --- /dev/null +++ b/tasks/task_027/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-027" +description = "Restore consistent NMR peak-set encoding under batch padding" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "027" +language = "python" +base_commit_hash = "9e59a111d201c1c3aee6db079fe1ea2c6a2d8ba8" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-027:v0.1.0@sha256:a0b2b795f21ebf2107c72a04657c3f5dedf1ef816974bedf0e765e8f3d1feafe" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_027" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-027:v0.1.0@sha256:7553e8b9d60ddba9b86ee74d4f200929dfaed195b79a7e29efa3713f93e5a656" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_027" + +[[verifier.collect]] +command = "cd /app/task_027 && git config --global --add safe.directory /app/task_027 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_027/tests/Dockerfile b/tasks/task_027/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..66c56e1d7572e602079ada685544f91d7748e5c7 --- /dev/null +++ b/tasks/task_027/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-027:v0.1.0@sha256:7553e8b9d60ddba9b86ee74d4f200929dfaed195b79a7e29efa3713f93e5a656 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_027/tests/test.sh b/tasks/task_027/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_027/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_028/environment/Dockerfile b/tasks/task_028/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..8f5b7b7dad19426635c363716b469f667cdde21f --- /dev/null +++ b/tasks/task_028/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_028 +COPY repo/ /app/task_028/source/ +COPY public/ /app/task_028/ +COPY requirements.lock /app/task_028/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_028:/app/task_028/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_028/instruction.md b/tasks/task_028/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..37a2183e342a5dd19529b78f935ffb3840b16696 --- /dev/null +++ b/tasks/task_028/instruction.md @@ -0,0 +1,38 @@ +# Task + +I am analyzing a single-cell perturbation data set with the D-SPIN framework +(using the supplied source under `source/`). I trained a model and saved +the inferred perturbation response vectors to +`fixtures/public/model_responses.npz`; the sample metadata table — which +sample is a control, and which batch each sample belongs to — is in +`fixtures/public/sample_metadata.csv`. + +Following the documented analysis workflow, I then computed each sample's +response relative to the control samples: every sample's relative response +is supposed to be its response vector minus the average response of the +control samples in the same batch, and samples in a batch without control +samples use the average over all control samples. + +The results do not behave the way the definition says they should: + +- the control samples' own relative responses are clearly not centered at + zero within their batch, so the baseline that was subtracted cannot be the + batch's control average; +- when I reorder the rows of the metadata table and rerun the analysis, the + relative response assigned to the same sample changes, even though nothing + about the samples themselves changed. + +You can reproduce both observations with: + +```bash +python reproduce.py +``` + +See `reproduction.md` for the report contract. + +Please inspect the source and public workflow, figure out +why the computed relative responses disagree with their definition, and +repair the implementation so that the analysis conforms to the documented +definition for all valid inputs — any saved response matrix and any sample +metadata table a user could legitimately provide. Do not hard-code specific +sample identities, batch layouts, orderings, or expected outputs. diff --git a/tasks/task_028/metadata.json b/tasks/task_028/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7bda77cc45ab2f1cdda36fa7bf5a892f765e26a2 --- /dev/null +++ b/tasks/task_028/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "028", + "title": "Repair control-referenced relative responses in a single-cell perturbation workflow", + "domain": "single-cell-perturbation-response-modeling", + "language": "python", + "source_repository": "https://github.com/JialongJiang/DSPIN", + "source_commit": "cbedc58e2127d912895defa95c65a623fa2f67d6", + "source_license": "Apache-2.0", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "5f00f99c550a360506e23c8b91f7e29ba400088a732e3a061ece166440d04ef4" +} diff --git a/tasks/task_028/task.toml b/tasks/task_028/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..1b10ab78c7f8c00fe2a58afcd68c0ec4f56529f6 --- /dev/null +++ b/tasks/task_028/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-028" +description = "Repair control-referenced relative responses in a single-cell perturbation workflow" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "028" +language = "python" +base_commit_hash = "cbedc58e2127d912895defa95c65a623fa2f67d6" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-028:v0.1.0@sha256:c9ed2829a11ec5fc42b54d30bbcd8e2b51f82061a7c0476564d073ed66f3d915" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_028" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-028:v0.1.0@sha256:4c4ec965b94251ab9b163fe1294a4e863dc5a2b0a005dabb51dbaa5a5d6c95fe" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_028" + +[[verifier.collect]] +command = "cd /app/task_028 && git config --global --add safe.directory /app/task_028 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_028/tests/Dockerfile b/tasks/task_028/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..89b6d7a34d2056b166f0a1b904075a89b732700e --- /dev/null +++ b/tasks/task_028/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-028:v0.1.0@sha256:4c4ec965b94251ab9b163fe1294a4e863dc5a2b0a005dabb51dbaa5a5d6c95fe +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_028/tests/test.sh b/tasks/task_028/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_028/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_029/environment/Dockerfile b/tasks/task_029/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..1633ce8502d2d3b913eb6e0f0794f8d879ba34de --- /dev/null +++ b/tasks/task_029/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_029 +COPY repo/ /app/task_029/source/ +COPY public/ /app/task_029/ +COPY requirements.lock /app/task_029/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_029:/app/task_029/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_029/instruction.md b/tasks/task_029/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..47a4ae7f619d1b439ea9d430c54a8172f90377bc --- /dev/null +++ b/tasks/task_029/instruction.md @@ -0,0 +1,28 @@ +# Annotation equivalence fails after construct-orientation normalization + +A construct-annotation workflow built on the supplied Biopython snapshot +normalizes circular DNA records into the opposite display orientation before +shipping GenBank files to downstream design and review tools. The input batch +is stored in `fixtures/construct_manifest.json` and contains the mixture of +feature representations used by the delivery workflow. + +The normalization and export complete without exceptions, and the generated +GenBank records can be parsed again. Nevertheless, the downstream annotation +equivalence check rejects part of the batch: the nucleotide sequence and +basic file structure remain usable, but the transformed annotations do not all +describe the same biological content. + +Run `python reproduce.py` from the task directory. It executes the user +workflow and reports only record-level structural observations. The public +workflow is intended to show useful delivery behavior without embedding a +second annotation oracle. + +Use the supplied scientific references, complete source snapshot, input +records, and any diagnostic experiments you design yourself to determine why +the library produces inconsistent annotations. Repair the scientific +implementation for general valid records without hard-coding the public +batch or its stored outputs. Existing behavior for unaffected annotation +representations and ordinary sequence operations must remain compatible. + +Do not use the network or add external data files. Keep the repair inside the +supplied source snapshot. diff --git a/tasks/task_029/metadata.json b/tasks/task_029/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cbaa193cec42b0ad2d2bf6388bb4698325cefec2 --- /dev/null +++ b/tasks/task_029/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "029", + "title": "Restore annotation equivalence after circular-record orientation normalization", + "domain": "genomics-sequence-annotation", + "language": "python", + "source_repository": "https://github.com/biopython/biopython", + "source_commit": "fb0e7f522d714d76eec42f5fd428eb7942a11dde", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE.rst", + "gpl_family": false, + "public_payload_sha256": "c77a56a3a0f491a8d8323bc49a7f61646abddac45c3db18dc37baa8d3722dc95" +} diff --git a/tasks/task_029/task.toml b/tasks/task_029/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..fe7826a22576428d626ee82bdd6bd9094d9ccddc --- /dev/null +++ b/tasks/task_029/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-029" +description = "Restore annotation equivalence after circular-record orientation normalization" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "029" +language = "python" +base_commit_hash = "fb0e7f522d714d76eec42f5fd428eb7942a11dde" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-029:v0.1.0@sha256:ef7e5c2b118cfb635fe2a38a96a3e74a8b8ccad4f45c4420a262224cde2aed3d" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_029" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-029:v0.1.0@sha256:bf60c02145e60447a42aa0e8205c11851bafae01fb38da1969c8ca9697ab119f" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_029" + +[[verifier.collect]] +command = "cd /app/task_029 && git config --global --add safe.directory /app/task_029 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_029/tests/Dockerfile b/tasks/task_029/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..369088e498e16d347bef7b1e0b75982f93f3c9ad --- /dev/null +++ b/tasks/task_029/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-029:v0.1.0@sha256:bf60c02145e60447a42aa0e8205c11851bafae01fb38da1969c8ca9697ab119f +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_029/tests/test.sh b/tasks/task_029/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_029/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_030/environment/Dockerfile b/tasks/task_030/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..bc6b8126dacf768e449833b796341bd7d6838522 --- /dev/null +++ b/tasks/task_030/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_030 +COPY repo/ /app/task_030/source/ +COPY public/ /app/task_030/ +COPY requirements.lock /app/task_030/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_030:/app/task_030/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_030/instruction.md b/tasks/task_030/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..5c46aa10543dd8ddfd80757cae654fb787805303 --- /dev/null +++ b/tasks/task_030/instruction.md @@ -0,0 +1,32 @@ +# Task + +I prepare crystal-structure input files for an external structure +prediction and refinement workflow that reads SHELX/AIRSS `.res` files +(using the documented format contract). I convert my structures to +`.res` with the supplied source snapshot (`source/`), and before +submitting the files I validate them against the format requirements. + +For the structure in `fixtures/public/structure.json`, the export +completes without any error, and when I read the produced file back with +the same library I get exactly my structure back — but my format +validation still rejects the file: the atom records' species references do +not all resolve, through the file's own SFAC species list, to the elements +named in those records, so any conforming external tool would misread or +reject it. + +You can reproduce this with: + +```bash +python reproduce.py +``` + +See `reproduction.md` for the report contract. + +Please inspect the source and its format handling, figure out why the +produced files violate the required format, and repair the +implementation so that the `.res` files it produces conform to the format +for all valid inputs — any composition, any number of species and sites, +ordered or partially occupied sites, and structures carrying site spin +moments. The produced files must also be stable: exporting the same +structure must give the same file every time. Do not hard-code specific +structures, species, orderings, or expected file contents. diff --git a/tasks/task_030/metadata.json b/tasks/task_030/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..15aa51819cb5ac5f5e0365a0ca553a24a0b4d4ca --- /dev/null +++ b/tasks/task_030/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "030", + "title": "Repair format-conformant SHELX/AIRSS .res export in a crystallographic IO workflow", + "domain": "crystallography-file-format-semantics", + "language": "python", + "source_repository": "https://github.com/materialsproject/pymatgen", + "source_commit": "585bb673c4aa222669c4b0d72ffeec3dbf092630", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "fe8a693f065061ef2c9dbeb378deabfb408a0b54cad15bb727f0dbfc6d7e05da" +} diff --git a/tasks/task_030/task.toml b/tasks/task_030/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..ae1dc39d3326dfb9f7f067eba4cab89c0fb98874 --- /dev/null +++ b/tasks/task_030/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-030" +description = "Repair format-conformant SHELX/AIRSS .res export in a crystallographic IO workflow" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "030" +language = "python" +base_commit_hash = "585bb673c4aa222669c4b0d72ffeec3dbf092630" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-030:v0.1.0@sha256:78f08b2d5abbea8a230c26ba7870f472e7888a8a99bf8a7a860164bbd77f0e95" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_030" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-030:v0.1.0@sha256:c2f2d33b4f3eac896abeb9dff00a81386b8e763f5aea124aedac4b9f6a8e9a60" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_030" + +[[verifier.collect]] +command = "cd /app/task_030 && git config --global --add safe.directory /app/task_030 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_030/tests/Dockerfile b/tasks/task_030/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..653f1c2bea210c1170fe292a38b64f8dffe2b9e4 --- /dev/null +++ b/tasks/task_030/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-030:v0.1.0@sha256:c2f2d33b4f3eac896abeb9dff00a81386b8e763f5aea124aedac4b9f6a8e9a60 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_030/tests/test.sh b/tasks/task_030/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_030/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_031/environment/Dockerfile b/tasks/task_031/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..5d5d7011a12737320c3e4f8fd429a29089e088be --- /dev/null +++ b/tasks/task_031/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_031 +COPY repo/ /app/task_031/source/ +COPY public/ /app/task_031/ +COPY requirements.lock /app/task_031/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_031:/app/task_031/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_031/instruction.md b/tasks/task_031/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..06b8e4c74582022472fe3a45a4c28c89493938c7 --- /dev/null +++ b/tasks/task_031/instruction.md @@ -0,0 +1,32 @@ +# Average referencing gives inconsistent results across application routes for mixed-modality recordings + +I am preprocessing mixed-modality intracranial recordings with the +supplied MNE-Python source snapshot. My recordings contain channels of +several types (for example sEEG depth contacts and ECoG grid contacts in +the same file), and I re-reference them with an average reference over +the channel types I care about, using `set_eeg_reference`. + +The library offers two routes for this — direct application and the +projection route — and both are required to implement the same +operation. For valid inputs both routes complete without errors, but the +referenced results are not consistent with the average-reference +expected average-reference semantics, and the two routes do not agree with +each other on mixed-type recordings. On single-modality recordings +everything behaves as documented. + +Run `python reproduce.py` from the task directory. It builds the +synthetic recordings in `fixtures/recording_manifest.json`, applies the +average reference through both routes, and reports the post-referencing +subset means and the deviation between the routes. + +Inspect the source snapshot and the public reproduction, and repair the implementation so that average referencing +behaves according to the documented semantics for all valid inputs: any +combination of supported channel types, any channel counts, and both +application routes. The repair +must not change behaviour that already conforms to the expected semantics +(single-modality referencing, explicit channel-list references, excluded +channel types), and must not hard-code the public fixtures, channel +names, or channel-type combinations. + +Keep the changes limited to the scientific implementation. Do not use the +network or add external data files. diff --git a/tasks/task_031/metadata.json b/tasks/task_031/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bc668b845c00067fec2de539a49494a005b5749a --- /dev/null +++ b/tasks/task_031/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "031", + "title": "Restore documented average-reference semantics for mixed-modality recordings", + "domain": "neurophysiology-signal-processing", + "language": "python", + "source_repository": "https://github.com/mne-tools/mne-python", + "source_commit": "3b3f3afb0e46a6ac6b97e6ecfbc2414497ea9a3a", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE.txt", + "gpl_family": false, + "public_payload_sha256": "77349ebbd1e954ff2b5cd76d5fb062c00be0eeb1aa4880537983797490a64c78" +} diff --git a/tasks/task_031/task.toml b/tasks/task_031/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..05655db21288434556600ce783d4afa7fd8a8ded --- /dev/null +++ b/tasks/task_031/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-031" +description = "Restore documented average-reference semantics for mixed-modality recordings" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "031" +language = "python" +base_commit_hash = "3b3f3afb0e46a6ac6b97e6ecfbc2414497ea9a3a" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-031:v0.1.0@sha256:d4140ef5964abbe2f30c6df0ce3348263ae7696d2e1bd45fa022a63165439437" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_031" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-031:v0.1.0@sha256:11198de9a24cc54ef854642f96d3106d3e50e5e69f86e3d1e88da26254cea4be" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_031" + +[[verifier.collect]] +command = "cd /app/task_031 && git config --global --add safe.directory /app/task_031 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_031/tests/Dockerfile b/tasks/task_031/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..77b35605351d8db3493f0d59f184246067b29dbd --- /dev/null +++ b/tasks/task_031/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-031:v0.1.0@sha256:11198de9a24cc54ef854642f96d3106d3e50e5e69f86e3d1e88da26254cea4be +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_031/tests/test.sh b/tasks/task_031/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_031/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_032/environment/Dockerfile b/tasks/task_032/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..be3bb151e7a68f63238e568b237edb9dcf45c299 --- /dev/null +++ b/tasks/task_032/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_032 +COPY repo/ /app/task_032/source/ +COPY public/ /app/task_032/ +COPY requirements.lock /app/task_032/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_032:/app/task_032/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_032/instruction.md b/tasks/task_032/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..7dcf8ef31cbe660292464bad6e5f9a955e177e38 --- /dev/null +++ b/tasks/task_032/instruction.md @@ -0,0 +1,16 @@ +# Repair an inconsistent peptide energy after topology import + +A molecular-simulation group is reproducing an archived calculation for the +58-atom Ala-Pro-Gly-Arg peptide supplied with this task. The coordinates and +force-field model were evaluated through several established molecular +simulation routes, and the archived total potential energies agree at their +reported precision. Importing the supplied GROMACS files with this historical +OpenMM source snapshot completes normally, but the resulting total potential +energy is incompatible with that independent observation. + +Run the offline reproduction, inspect the complete scientific input and source, +and repair the implementation so the imported model +preserves the intended physical calculation. The repair must remain correct +for other valid GROMACS representations supported by the project. Do not +hard-code this peptide, the archived energy, or a filename-specific result, and +do not modify the supplied scientific inputs or generated reports. diff --git a/tasks/task_032/metadata.json b/tasks/task_032/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bebe8a831a273fbe08d7a73050c84343961b5ea3 --- /dev/null +++ b/tasks/task_032/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "032", + "title": "Repair an inconsistent peptide energy after topology import", + "domain": "molecular-simulation", + "language": "python", + "source_repository": "https://github.com/openmm/openmm", + "source_commit": "d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98", + "source_license": "LGPL-family", + "license_source": "license.rst", + "gpl_family": false, + "public_payload_sha256": "c180d4dc2be2dfbf776c6ea49cf291b717bb320516711ed8c8e4ab15dd0c0947" +} diff --git a/tasks/task_032/task.toml b/tasks/task_032/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..dcf899214bd7a06a4d569037d98a68b1b7a1dcb1 --- /dev/null +++ b/tasks/task_032/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-032" +description = "Repair an inconsistent peptide energy after topology import" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "032" +language = "python" +base_commit_hash = "d2f76949b3ccac1139f0a0a0d1459aa47e2f0a98" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-032:v0.1.0@sha256:1f1e710ff121fc590e1a1bcc0d6e35b6b20488b67b4ff2ea9e088c5ed5b3c617" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_032" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.0@sha256:b33b42c56351b94f8e871921d9c51b3edba1f2317186ec51db8d0e7a49c1a0c4" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_032" + +[[verifier.collect]] +command = "cd /app/task_032 && git config --global --add safe.directory /app/task_032 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_032/tests/Dockerfile b/tasks/task_032/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..9b485dd48273083b58094c2084a4c98ebf53d11f --- /dev/null +++ b/tasks/task_032/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-032:v0.1.0@sha256:b33b42c56351b94f8e871921d9c51b3edba1f2317186ec51db8d0e7a49c1a0c4 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_032/tests/test.sh b/tasks/task_032/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_032/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_033/environment/Dockerfile b/tasks/task_033/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..37cff21ad95cee90ac72a03532ec868fa0b7a89a --- /dev/null +++ b/tasks/task_033/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_033 +COPY repo/ /app/task_033/source/ +COPY public/ /app/task_033/ +COPY requirements.lock /app/task_033/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_033:/app/task_033/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_033/instruction.md b/tasks/task_033/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..ad65724b8b26a616339090237767edf105757797 --- /dev/null +++ b/tasks/task_033/instruction.md @@ -0,0 +1,16 @@ +# Repair inconsistent energies across equivalent periodic representations + +A materials-simulation group is validating an archived diamond calculation +with two established periodic electronic-structure workflows. One workflow +uses a primitive cell with a commensurate set of crystal momenta; the other uses +the corresponding enlarged real-space cell at the zone center. Both +calculations converge normally, but their total energies per primitive cell are +incompatible at the stated numerical resolution. + +Run the offline reproduction, inspect the complete scientific input and source, +and repair the historical PySCF implementation +so that equivalent periodic representations preserve the same physical +calculation. The repair must remain valid for other cells, reciprocal cutoffs, +sampling grids, and supported periodic density-fitting routes. Do not hard-code +the supplied crystal, its energies, or a filename-specific result, and do not +modify the supplied scientific input or generated reports. diff --git a/tasks/task_033/metadata.json b/tasks/task_033/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..98a1881ca3055021cb631086bd765efcc81ff842 --- /dev/null +++ b/tasks/task_033/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "033", + "title": "Repair inconsistent energies across equivalent periodic representations", + "domain": "periodic-electronic-structure", + "language": "python", + "source_repository": "https://github.com/pyscf/pyscf", + "source_commit": "802cd37e9dc6abb52f30d84bb422b6ee15493fc9", + "source_license": "UNKNOWN", + "license_source": "not-detected", + "gpl_family": false, + "public_payload_sha256": "59642aa8102cab97c1cedeac4a85d537656eab0ffeeb1250b30f97cf87faeb01" +} diff --git a/tasks/task_033/task.toml b/tasks/task_033/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..4bbcf7ced7af286dcae637923b169fb5b2c212f0 --- /dev/null +++ b/tasks/task_033/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-033" +description = "Repair inconsistent energies across equivalent periodic representations" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "033" +language = "python" +base_commit_hash = "802cd37e9dc6abb52f30d84bb422b6ee15493fc9" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-033:v0.1.0@sha256:44845aa0036b539e82cf042b31b278ab3e4dba56dd5d0abe1da426466a4d1c49" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_033" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.0@sha256:02bd79559d1d6180dbcc19db90b316567798ba192fed39d51bc1f5c20adca064" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_033" + +[[verifier.collect]] +command = "cd /app/task_033 && git config --global --add safe.directory /app/task_033 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_033/tests/Dockerfile b/tasks/task_033/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..6315d9528c009d99c8b03532dc243a88c8975847 --- /dev/null +++ b/tasks/task_033/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-033:v0.1.0@sha256:02bd79559d1d6180dbcc19db90b316567798ba192fed39d51bc1f5c20adca064 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_033/tests/test.sh b/tasks/task_033/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_033/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_034/environment/Dockerfile b/tasks/task_034/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..9c87b7ddd9b4d337fed0fbee58ba190aa0b24e06 --- /dev/null +++ b/tasks/task_034/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_034 +COPY repo/ /app/task_034/source/ +COPY public/ /app/task_034/ +COPY requirements.lock /app/task_034/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_034:/app/task_034/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_034/instruction.md b/tasks/task_034/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..c624b293e77bbe87881783f2c31896204d8d40cf --- /dev/null +++ b/tasks/task_034/instruction.md @@ -0,0 +1,15 @@ +# Repair an inconsistent stochastic trajectory calculation + +A research group is replaying the supplied noisy nonlinear-oscillator study +with a historical Diffrax source snapshot. The experiment uses a fixed ensemble +of prescribed stochastic controls and a valid reverse-oriented time interval. +The replay completes but the supplied implementation does not expose a +complete, inspectable ensemble for the configured reverse-time study. + +Run the offline reproduction, inspect the complete source and accompanying +public experiment code, and repair the +scientific implementation so that the supported calculation is consistent. +The repair must generalize to other valid stochastic models, solver choices, +time intervals, and random controls supported by the project. Do not hard-code +the supplied ensemble, its aggregate result, or a fixture-specific outcome, and +do not modify the supplied study configuration or generated reports. diff --git a/tasks/task_034/metadata.json b/tasks/task_034/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5c57470ab0620ba9fd5f283612e4601668e173b2 --- /dev/null +++ b/tasks/task_034/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "034", + "title": "Repair an inconsistent stochastic trajectory calculation", + "domain": "stochastic-numerical-analysis", + "language": "python", + "source_repository": "https://github.com/patrick-kidger/diffrax", + "source_commit": "56d78e1acbdc9c1493caef17a34777931430f3bf", + "source_license": "Apache-2.0", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "889b0227a9c51d2b5bc30a32e135fcd05155e4d6cf5be68637bd012d34e8a7b5" +} diff --git a/tasks/task_034/task.toml b/tasks/task_034/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..a958e177988fcd5dd585fe2d0c40a90318a6889f --- /dev/null +++ b/tasks/task_034/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-034" +description = "Repair an inconsistent stochastic trajectory calculation" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "034" +language = "python" +base_commit_hash = "56d78e1acbdc9c1493caef17a34777931430f3bf" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-034:v0.1.0@sha256:7059fdb21c925acab3c847faecece53d294086745e3f4e373473aab44b180edb" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_034" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.0@sha256:232f4698c8988c515640b1225e1a25b275b3a3bcc0658c08697e37dfdb740a64" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_034" + +[[verifier.collect]] +command = "cd /app/task_034 && git config --global --add safe.directory /app/task_034 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_034/tests/Dockerfile b/tasks/task_034/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..67f57062eeaddd92ca45dc105248c773f10484f3 --- /dev/null +++ b/tasks/task_034/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-034:v0.1.0@sha256:232f4698c8988c515640b1225e1a25b275b3a3bcc0658c08697e37dfdb740a64 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_034/tests/test.sh b/tasks/task_034/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_034/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_035/environment/Dockerfile b/tasks/task_035/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..f5d9ab0aecbdffcc59a31dc91890330ff485d6af --- /dev/null +++ b/tasks/task_035/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_035 +COPY repo/ /app/task_035/source/ +COPY public/ /app/task_035/ +COPY requirements.lock /app/task_035/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_035:/app/task_035/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_035/instruction.md b/tasks/task_035/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..ce574ff280779598a55eeb02c37a209af9658c4e --- /dev/null +++ b/tasks/task_035/instruction.md @@ -0,0 +1,17 @@ +# Repair an incomplete stiff-kinetics campaign + +A kinetics group is replaying a supplied multi-condition Robertson reaction +campaign with a historical SciPy source snapshot. The reaction systems, +initial compositions, rate constants, observation levels, time horizons, and +tolerances are valid. The campaign should produce one finite, mass-conserving +observation for every configured protocol and a stable aggregate summary. The +supplied implementation completes only part of the campaign, so the aggregate +result cannot be released. + +Run the offline reproduction, inspect the scientific workflow and source, and +repair the implementation so that +the complete campaign is scientifically consistent. The repair must generalize +beyond the public protocols to other supported differential-equation systems, +integration directions, sampling choices, tolerances, and solver +configurations. Do not hard-code protocol identifiers, public rates, monitored +levels, or report fields, and do not modify the supplied scientific inputs. diff --git a/tasks/task_035/metadata.json b/tasks/task_035/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f316668f211d37faba50bad68a736a3839a52951 --- /dev/null +++ b/tasks/task_035/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "035", + "title": "Repair an incomplete stiff-kinetics campaign", + "domain": "numerical-analysis-and-chemical-kinetics", + "language": "python", + "source_repository": "https://github.com/scipy/scipy", + "source_commit": "c4e7f1146556f4b038bfbfc0912ac3843e844c55", + "source_license": "BSD-3-Clause", + "license_source": "LICENSE.txt", + "gpl_family": false, + "public_payload_sha256": "ff1983b2f775b0cea2096459dc5b8086b20e8d15b1ccf43f352e78f791c87766" +} diff --git a/tasks/task_035/task.toml b/tasks/task_035/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..1978600d2e3e5d374690885cc6d807ac6c4b4c75 --- /dev/null +++ b/tasks/task_035/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-035" +description = "Repair an incomplete stiff-kinetics campaign" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "035" +language = "python" +base_commit_hash = "c4e7f1146556f4b038bfbfc0912ac3843e844c55" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-035:v0.1.0@sha256:ade094c8b37641bf91ee9e09c12b5dcd6ff0f0251613c73c73b7e0f0109a170f" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_035" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.0@sha256:5bdf5079219dab4d67b255724888338b3d5602d4dd24df83723b27a699f578b9" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_035" + +[[verifier.collect]] +command = "cd /app/task_035 && git config --global --add safe.directory /app/task_035 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_035/tests/Dockerfile b/tasks/task_035/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..46916e27451b015bc264561d5aa6f86f33f56e52 --- /dev/null +++ b/tasks/task_035/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-035:v0.1.0@sha256:5bdf5079219dab4d67b255724888338b3d5602d4dd24df83723b27a699f578b9 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_035/tests/test.sh b/tasks/task_035/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_035/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_036/environment/Dockerfile b/tasks/task_036/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..e1693b922d44693ae2009c67b5c05c40de2ae3d4 --- /dev/null +++ b/tasks/task_036/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_036 +COPY repo/ /app/task_036/source/ +COPY public/ /app/task_036/ +COPY requirements.lock /app/task_036/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_036:/app/task_036/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_036/instruction.md b/tasks/task_036/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..6887f1166a1965a8a18069763a2c1bbf70d414e4 --- /dev/null +++ b/tasks/task_036/instruction.md @@ -0,0 +1,22 @@ +# Repair the supplied scientific software + +A researcher is sampling a finite field from a spherical curvilinear ocean +model grid with the supplied historical source snapshot. The workflow +completes, but the values along a valid smooth track are not scientifically +consistent with the supplied workflow. + +Reproduce the behavior, inspect the project source and task workflow, and +repair the implementation so that supported calculations are scientifically +consistent. The repair must generalize beyond the public case and must preserve +normal behavior for other supported grid configurations. + +Work only inside this task directory. You may modify files under `source/` and +other task-local implementation files when justified. Do not replace the +scientific workflow with fixed fixture outputs or special-case the public +track. The final answer is the patch produced from your workspace. + +Run the public check with: + +```bash +python reproduce.py +``` diff --git a/tasks/task_036/metadata.json b/tasks/task_036/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f12dbd631e66e5d41759b93195f7b9ad9dfb80c3 --- /dev/null +++ b/tasks/task_036/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "036", + "title": "Repair inconsistent sampling on a spherical curvilinear ocean grid", + "domain": "computational-oceanography-and-spherical-geometry", + "language": "python", + "source_repository": "https://github.com/Parcels-code/Parcels", + "source_commit": "439ea290f9a75c3cbd66d79333fed475f92aeb00", + "source_license": "MIT", + "license_source": "LICENSE.md", + "gpl_family": false, + "public_payload_sha256": "29dadb61548cf625beadcef5620a0e20a03d97d48b09ac7ad259548e4e2aaf1f" +} diff --git a/tasks/task_036/task.toml b/tasks/task_036/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..e7658f5aef42e6c329cb24bd87b0ef4c9b9e4d0c --- /dev/null +++ b/tasks/task_036/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-036" +description = "Repair inconsistent sampling on a spherical curvilinear ocean grid" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "036" +language = "python" +base_commit_hash = "439ea290f9a75c3cbd66d79333fed475f92aeb00" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-036:v0.1.0@sha256:85db05aa83f3c2408533a237892331b08af27cdbc4a380e772eb5810fcd7c8d4" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_036" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.0@sha256:c0bab454078f7f8f8fb3474977e6be7f057aecb040e936a92d95ececdb091d29" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_036" + +[[verifier.collect]] +command = "cd /app/task_036 && git config --global --add safe.directory /app/task_036 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_036/tests/Dockerfile b/tasks/task_036/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..dd987d31828e5041b58dd5b39b404da9f6beb762 --- /dev/null +++ b/tasks/task_036/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-036:v0.1.0@sha256:c0bab454078f7f8f8fb3474977e6be7f057aecb040e936a92d95ececdb091d29 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_036/tests/test.sh b/tasks/task_036/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_036/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_037/environment/Dockerfile b/tasks/task_037/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..d50d02c89f7eb891f32edbb4e333f04d3c82cbd4 --- /dev/null +++ b/tasks/task_037/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_037 +COPY repo/ /app/task_037/source/ +COPY public/ /app/task_037/ +COPY requirements.lock /app/task_037/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_037:/app/task_037/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_037/instruction.md b/tasks/task_037/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..f27b98edf79d06b3b54771df8a2a118e75fbc505 --- /dev/null +++ b/tasks/task_037/instruction.md @@ -0,0 +1,16 @@ +# Repair an inconsistent multiframe MR reconstruction + +A medical-imaging group is replaying an archived quality-control acquisition +supplied with this task. The DICOM object is valid, all pixel frames decode, and +the historical source snapshot returns finite data with the expected +dimensionality. However, the reconstructed scientific image does not agree with +the independently archived result. + +Run the offline reproduction, inspect the complete acquisition and historical +source, and repair the implementation so the complete reconstructed image +agrees with the required acquisition semantics. The repair must generalize to other +valid multiframe inputs supported by the project. + +Do not hard-code this acquisition, the archived record, a filename-specific +result, or report fields. Do not modify the supplied DICOM object, archived +record, public reproduction, or generated reports. diff --git a/tasks/task_037/metadata.json b/tasks/task_037/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..30a5045541b2efbcbe4c0b02245dcdaceeecb896 --- /dev/null +++ b/tasks/task_037/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "037", + "title": "Repair an inconsistent multiframe MR reconstruction", + "domain": "medical-imaging", + "language": "python", + "source_repository": "https://github.com/nipy/nibabel", + "source_commit": "5d10c5b8bb09576e24e9d316da1019fb909d7d32", + "source_license": "BSD-3-Clause", + "license_source": "COPYING", + "gpl_family": false, + "public_payload_sha256": "fb9bb76d90c34bd297b4e977cb1d92ba7dee1a873395301d008ff466d43481a8" +} diff --git a/tasks/task_037/task.toml b/tasks/task_037/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..b37341c2fb4b0236c6fe406e953b6f2f1e9a4976 --- /dev/null +++ b/tasks/task_037/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-037" +description = "Repair an inconsistent multiframe MR reconstruction" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "037" +language = "python" +base_commit_hash = "5d10c5b8bb09576e24e9d316da1019fb909d7d32" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-037:v0.1.0@sha256:526eaf4f7800f715fda24e8c515162d91a2e89d46c6a7228fa9f13706e6f3c63" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_037" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.0@sha256:adcfa1988d7786568e96018c91ca4d73f12c409e2d81af2fb416e868ff304881" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_037" + +[[verifier.collect]] +command = "cd /app/task_037 && git config --global --add safe.directory /app/task_037 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_037/tests/Dockerfile b/tasks/task_037/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..a7c270b80b36ec599993d5f3b7a5330d40977fb6 --- /dev/null +++ b/tasks/task_037/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-037:v0.1.0@sha256:adcfa1988d7786568e96018c91ca4d73f12c409e2d81af2fb416e868ff304881 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_037/tests/test.sh b/tasks/task_037/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_037/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_038/environment/Dockerfile b/tasks/task_038/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..92d0242d3265b9b986b15d2d92e81152952466cb --- /dev/null +++ b/tasks/task_038/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=1 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_038 +COPY repo/ /app/task_038/source/ +COPY public/ /app/task_038/ +COPY requirements.lock /app/task_038/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_038:/app/task_038/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_038/instruction.md b/tasks/task_038/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..f2a9d8e659bebff5bedb3fa582d4985521aa708c --- /dev/null +++ b/tasks/task_038/instruction.md @@ -0,0 +1,27 @@ +# Stable classification of archived crystal records + +A materials-data pipeline imports a small archived batch containing two legal +representations of the same periodic Ag/O structure. Both records are finite +and processable, but the final batch summary is not stable under the change of +representation. + +Run the public reproduction, inspect the complete C source and public +observation, and repair the implementation so that physically equivalent crystal +records retain one classification through ordinary import and batch analysis. +The repair must generalize to other structures, lattice settings, origins, and +operation orderings; do not special-case the supplied files, coordinates, +species, or output token. + +Work only in this task directory. The evaluation environment is Linux and has +no network access. You may modify files under `source/`. Do not replace the +scientific calculation with a fixed report. + +Use: + +```bash +python reproduce.py +``` + +The command returns `1` for the reproduced finite scientific inconsistency, +`0` after a successful repair, and `2` for a build or runner failure. The +public report intentionally contains only a project-level batch observation. diff --git a/tasks/task_038/metadata.json b/tasks/task_038/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2abe4ec79aa31ed8697cca3829edbdb8a5324acd --- /dev/null +++ b/tasks/task_038/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "038", + "title": "Repair inconsistent crystal classification across equivalent representations", + "domain": "computational-crystallography-and-materials-symmetry", + "language": "c", + "source_repository": "https://github.com/spglib/spglib", + "source_commit": "", + "source_license": "BSD-3-Clause", + "license_source": "COPYING", + "gpl_family": false, + "public_payload_sha256": "74958da0acd4cffeaf90164cd4b44220fdd35e8c87441cd262c467a7c377f585" +} diff --git a/tasks/task_038/task.toml b/tasks/task_038/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..dc8f6af6026010320db2d9f52410e51a09c1bcd6 --- /dev/null +++ b/tasks/task_038/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-038" +description = "Repair inconsistent crystal classification across equivalent representations" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "038" +language = "c" +base_commit_hash = "" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-c-task-038:v0.1.0@sha256:41ba231d44d2445f621ed17c3a5f881a41941b79d2f297b49bd66e9e8145a8fb" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_038" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.0@sha256:511507351b10162103c5f48282142f8b767230784456e9952c943657beddb7a9" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_038" + +[[verifier.collect]] +command = "cd /app/task_038 && git config --global --add safe.directory /app/task_038 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_038/tests/Dockerfile b/tasks/task_038/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..7e1de22dd300a2f9136b5794ae8e7fe806f23ff4 --- /dev/null +++ b/tasks/task_038/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-c-task-038:v0.1.0@sha256:511507351b10162103c5f48282142f8b767230784456e9952c943657beddb7a9 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_038/tests/test.sh b/tasks/task_038/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_038/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_039/environment/Dockerfile b/tasks/task_039/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..3619e38485f87c8e6f969cedece130a2f1cb6bdb --- /dev/null +++ b/tasks/task_039/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.12-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_039 +COPY repo/ /app/task_039/source/ +COPY public/ /app/task_039/ +COPY requirements.lock /app/task_039/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_039:/app/task_039/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_039/instruction.md b/tasks/task_039/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..9429a43f1ac39e5ce4e97dc5a3421b36c07ecc27 --- /dev/null +++ b/tasks/task_039/instruction.md @@ -0,0 +1,26 @@ +# Repair a river-network sediment transport calculation + +An Earth-surface modeling workflow uses the supplied source snapshot to +simulate bed-material pulses moving through a river network. The calculation +completes, but the resulting downstream history and stored river state do not +match the physical behavior described by the supplied material. + +Run the public reproduction, study the complete Python source snapshot, and +repair the implementation so that the +transport calculation, stored material, and tracked sediment motion remain +scientifically consistent. The repair must generalize to other river networks, +hydraulic conditions, sediment records, and time steps. Do not +special-case the supplied fixture or replace the scientific calculation with a +fixed report. + +Work only in this task directory. The evaluation environment is Linux and has no +network access. You may modify files under `source/`. + +Use: + +```bash +python reproduce.py +``` + +The command returns `1` for the reproduced finite scientific inconsistency, `0` +after a successful repair, and `2` for a runner or environment failure. diff --git a/tasks/task_039/metadata.json b/tasks/task_039/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2712f11ac2f484eda43c64a0c8182f323d11d5a8 --- /dev/null +++ b/tasks/task_039/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "039", + "title": "Repair a river-network sediment transport calculation", + "domain": "earth-surface-dynamics-and-river-sediment-transport", + "language": "python", + "source_repository": "https://github.com/landlab/landlab", + "source_commit": "546bc11054cff5e12808c7122b3e8b38f1ef555f", + "source_license": "MIT", + "license_source": "LICENSE.md", + "gpl_family": false, + "public_payload_sha256": "547cced3cbcc0c6f3f32398b0836cd8d6b2d199e9cd64dcae1c4fc689ada6105" +} diff --git a/tasks/task_039/task.toml b/tasks/task_039/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..aae2252a33b85099cabd51463b71ed15ed26d8de --- /dev/null +++ b/tasks/task_039/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-039" +description = "Repair a river-network sediment transport calculation" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "039" +language = "python" +base_commit_hash = "546bc11054cff5e12808c7122b3e8b38f1ef555f" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-039:v0.1.0@sha256:3ed83c8573077b62d1c7b2a498bc9dca044d772a6f930ef5c570feccbbb0b43f" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_039" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.0@sha256:f6e72d3a31b0d1321a608fb1f33ddbdd6ca30eb0da862eebce3590b27c4650a4" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_039" + +[[verifier.collect]] +command = "cd /app/task_039 && git config --global --add safe.directory /app/task_039 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_039/tests/Dockerfile b/tasks/task_039/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..ed4c93cb6cfe804b979fd647215993684ab29417 --- /dev/null +++ b/tasks/task_039/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-039:v0.1.0@sha256:f6e72d3a31b0d1321a608fb1f33ddbdd6ca30eb0da862eebce3590b27c4650a4 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_039/tests/test.sh b/tasks/task_039/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_039/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_040/environment/Dockerfile b/tasks/task_040/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..14bb6ed60ed1c611608567d3191af4cc935ffa29 --- /dev/null +++ b/tasks/task_040/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.11-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_040 +COPY repo/ /app/task_040/source/ +COPY public/ /app/task_040/ +COPY requirements.lock /app/task_040/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_040:/app/task_040/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_040/instruction.md b/tasks/task_040/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..9e52b283d1423710d333a94e7a0376d34171b698 --- /dev/null +++ b/tasks/task_040/instruction.md @@ -0,0 +1,32 @@ +# Restore consistent magnetic-dipole electromagnetic predictions + +A geophysical electromagnetic forward-modeling workflow uses a magnetic dipole +source and reports magnetic observations at several receiver locations. The +calculation completes with finite values, but the result is not consistent with +the expected physical definition. This is especially +concerning for a forward model, because a finite numerical result can still +represent the wrong physical experiment. + +Study the complete source snapshot and public reproduction. Trace the physical +calculation through the public +survey, source, simulation, and receiver interfaces, and repair the source so +that valid magnetic-dipole calculations agree with the scientific definition. +The repair must generalize to other dipole orientations, magnetic +permeabilities, receiver locations, mesh sizes, and supported forward-modeling +workflows. + +Do not hard-code the supplied observations or replace the solver with a fixed +answer. Work only under this task directory. The evaluation environment is +offline; all required Python dependencies and source files are provided. + +Run the public diagnostic with: + +```bash +python reproduce.py +``` + +The command returns `0` when the candidate workflow produces finite receiver +observations, `1` only when it cannot produce a finite nonempty observation, and +`2` for an import, path, dependency, or other runner failure. The public report +is diagnostic; the verifier performs the independent physical consistency +checks on broader cases. diff --git a/tasks/task_040/metadata.json b/tasks/task_040/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0caba6c98a4f780b8b922b81a7f39db74b258c6e --- /dev/null +++ b/tasks/task_040/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "040", + "title": "Restore consistent magnetic-dipole electromagnetic predictions", + "domain": "computational-electromagnetics-and-geophysical-forward-modeling", + "language": "python", + "source_repository": "https://github.com/simpeg/simpeg", + "source_commit": "3cc6605c54b0f6062c1a139ece2ecf69cddc829", + "source_license": "MIT", + "license_source": "LICENSE", + "gpl_family": false, + "public_payload_sha256": "26565f5e7771aa455a68dbcf6a23d0746fd3842931499db02f8bfb93a0dc074c" +} diff --git a/tasks/task_040/task.toml b/tasks/task_040/task.toml new file mode 100644 index 0000000000000000000000000000000000000000..198b50e2a6c7e5964f666bd6dd5f4e2011789806 --- /dev/null +++ b/tasks/task_040/task.toml @@ -0,0 +1,44 @@ +schema_version = "1.3" +artifacts = ["/logs/artifacts/model.patch"] + +[task] +name = "openmoss/swe-bench-science-040" +description = "Restore consistent magnetic-dipole electromagnetic predictions" +authors = [] +keywords = ["scientific-computing", "software-engineering"] + +[metadata] +task_id = "040" +language = "python" +base_commit_hash = "3cc6605c54b0f6062c1a139ece2ecf69cddc829" + +[agent] +network_mode = "no-network" +timeout_sec = 5400.0 + +[environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-environment-python-task-040:v0.1.0@sha256:a052d87111542518755781c8d49a50de5d7ed6e3f75b2132fc1d8418dba89e85" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_040" + +[verifier] +network_mode = "no-network" +environment_mode = "separate" +timeout_sec = 1800.0 + +[verifier.environment] +docker_image = "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.0@sha256:2f4ad5a63994c9ff62b9ad0b21e24da4a2130a337f20839ff97dccd4016aebd6" +os = "linux" +allow_internet = false +cpus = 2 +memory_mb = 8192 +storage_mb = 20480 +workdir = "/app/task_040" + +[[verifier.collect]] +command = "cd /app/task_040 && git config --global --add safe.directory /app/task_040 && baseline=$(git rev-list --max-parents=0 --reverse HEAD | head -n 1) && git add -A && git diff --cached --binary \"$baseline\" > /logs/artifacts/model.patch" +timeout_sec = 300.0 diff --git a/tasks/task_040/tests/Dockerfile b/tasks/task_040/tests/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..ddc63966ce135e4dc25363565b09e6499bc4b3b6 --- /dev/null +++ b/tasks/task_040/tests/Dockerfile @@ -0,0 +1,2 @@ +ARG VERIFIER_IMAGE=docker.io/kevinxulearning/swe-bench-science-verifier-python-task-040:v0.1.0@sha256:2f4ad5a63994c9ff62b9ad0b21e24da4a2130a337f20839ff97dccd4016aebd6 +FROM ${VERIFIER_IMAGE} diff --git a/tasks/task_040/tests/test.sh b/tasks/task_040/tests/test.sh new file mode 100644 index 0000000000000000000000000000000000000000..714959da692677fd78953da0372dfeb595111b19 --- /dev/null +++ b/tasks/task_040/tests/test.sh @@ -0,0 +1,6 @@ +#!/bin/sh +set -eu + +# Pier requires a public tests entrypoint when loading a local task. In +# separate-verifier mode the executable grader remains inside the verifier image. +exec python /tests/grader.py diff --git a/tasks/task_041/environment/Dockerfile b/tasks/task_041/environment/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..17486c38782adcfdbc724f4ce695aef0b59116ad --- /dev/null +++ b/tasks/task_041/environment/Dockerfile @@ -0,0 +1,60 @@ +ARG BASE_IMAGE=python:3.12-slim +FROM ${BASE_IMAGE} + +ARG DEBIAN_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian +ARG DEBIAN_SECURITY_MIRROR=https://mirrors.tuna.tsinghua.edu.cn/debian-security +ARG PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple +ARG INSTALL_FORTRAN=0 +ARG INSTALL_OCTAVE=0 +ENV DEBIAN_FRONTEND=noninteractive \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + PIP_INDEX_URL=${PIP_INDEX_URL} \ + PIP_NO_CACHE_DIR=1 \ + PYTHONDONTWRITEBYTECODE=1 + +RUN sed -i \ + -e "s|http://deb.debian.org/debian-security|${DEBIAN_SECURITY_MIRROR}|g" \ + -e "s|http://deb.debian.org/debian|${DEBIAN_MIRROR}|g" \ + /etc/apt/sources.list.d/debian.sources + +RUN apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends \ + build-essential \ + ca-certificates \ + curl \ + git \ + ripgrep \ + && rm -rf /var/lib/apt/lists/* + +RUN if [ "${INSTALL_FORTRAN}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends gfortran \ + && rm -rf /var/lib/apt/lists/*; \ + fi \ + && if [ "${INSTALL_OCTAVE}" = "1" ]; then \ + apt-get -o Acquire::Retries=10 update \ + && apt-get -o Acquire::Retries=10 install -y --no-install-recommends octave \ + && rm -rf /var/lib/apt/lists/*; \ + fi + +WORKDIR /app/task_041 +COPY repo/ /app/task_041/source/ +COPY public/ /app/task_041/ +COPY requirements.lock /app/task_041/requirements.lock + +RUN python -m pip install --no-cache-dir --upgrade pip \ + && python -m pip install --no-cache-dir -r requirements.lock +ENV PYTHONPATH=/app/task_041:/app/task_041/source + +RUN git init \ + && git checkout -b main \ + && git config user.email science-bench@example.invalid \ + && git config user.name "SWE-bench Science baseline" \ + && git add -A \ + && GIT_AUTHOR_DATE=2025-01-01T00:00:00Z \ + GIT_COMMITTER_DATE=2025-01-01T00:00:00Z \ + git commit -m baseline \ + && git reflog expire --expire=now --all \ + && git gc --prune=now + +CMD ["bash"] diff --git a/tasks/task_041/instruction.md b/tasks/task_041/instruction.md new file mode 100644 index 0000000000000000000000000000000000000000..60053e8b1ee7b24db6b3584e109a64d68b4ec867 --- /dev/null +++ b/tasks/task_041/instruction.md @@ -0,0 +1,26 @@ +# Repair an inconsistent near-Earth vector conversion + +A space-physics instrument workflow uses the supplied scientific package to +convert a catalogue of Cartesian direction vectors between near-Earth +coordinate systems. The calculation completes and returns finite coordinates, +but the converted catalogue does not satisfy the scientific geometry described +by the supplied material. + +Run the public reproduction, study the complete source snapshot, and repair the +implementation so that the +coordinate workflow is scientifically consistent. The repair must generalize +to other valid vector catalogues, coordinate systems, observation times, and +frame attributes. Do not special-case the supplied fixture or replace the +scientific calculation with fixed output. + +Work only in this task directory. The evaluation environment is Linux and has +no network access. You may modify files under `source/`. + +Use: + +```bash +python reproduce.py +``` + +The command returns `1` for the reproduced finite scientific inconsistency, +`0` after a successful repair, and `2` for a runner or environment failure. diff --git a/tasks/task_041/metadata.json b/tasks/task_041/metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8023b6eb15d4d7f7726748c7a37684decce76860 --- /dev/null +++ b/tasks/task_041/metadata.json @@ -0,0 +1,12 @@ +{ + "task_id": "041", + "title": "Repair an inconsistent near-Earth vector conversion", + "domain": "space-physics-coordinate-systems", + "language": "python", + "source_repository": "https://github.com/sunpy/sunpy", + "source_commit": "470d13491dd2c2a9440b3c657af33373ca8d47c1", + "source_license": "UNKNOWN", + "license_source": "LICENSE.rst", + "gpl_family": false, + "public_payload_sha256": "a591ac607343a9b65f004f2bb3c8f0ed66be521758113f17975e7e639cd5a232" +}