Fix task 119 environment image digest

data/tasks.csv

@@ -117,4 +117,4 @@ task_id,title,domain,language,repository_url,base_commit,source_license,material
 116,Repair mode-dependent structural analysis observations,structural-engineering-finite-element-resilience,python,https://github.com/JWock82/Pynite,147c7aa24ec30b1c6a4d4820446915380752877b,MIT,[],,False,False,none,docker.io/kevinxulearning/swe-bench-science-environment-python-task-116:v0.1.1@sha256:919fdbc765237cfeebcada9836f4dafb7b54e2838381867da82911bf706c3473,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-116:v0.1.1@sha256:18362993ba38c4a6981c386934b43733bdf13d5d3792b5952b3762ff420be98e,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,False,none,docker.io/kevinxulearning/swe-bench-science-environment-python-task-117:v0.1.1@sha256:19952242ad26d8ec83451ad087d3e37b36cbe9c87312b37f3e8f6020b150dafe,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-117:v0.1.1@sha256:5c9d6aac4d7a4480cb2591fea878ea1d6c323bdd0571f2a0b9d88bbe3d0474b9,linux/amd64,tasks/task_117,dockerhub-published
 118,Repair inconsistent periodic molecular energy representations,computational-high-energy-molecular-chemistry-periodic-models,python,https://github.com/tblite/tblite,2201589812172b25c515ad502c3607d1e2c65a92,LGPL-3.0-or-later,[],,True,True,gpl-family,docker.io/kevinxulearning/swe-bench-science-environment-python-task-118:v0.1.1@sha256:1be2825014bb2ea8415da827d416e7beb90d46d85a44e6bf3009cb0fdb3db0cc,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-118:v0.1.1@sha256:d9d994d83ed59efa74d512e9306ed84d990a37a00d7ce444e2b6738b124914fd,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,False,none,docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.1@sha256:8b00c65ff5119f0b545cb71b624faa2a311ec0b91077f9a8e8948b0c114ffb19,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-119:v0.1.1@sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f,linux/amd64,tasks/task_119,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,False,none,docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.1@sha256:2259431fe6b24ca89cb78517fc0882c2143c9bc1eb1846a3cb451b43d3eae3b5,docker.io/kevinxulearning/swe-bench-science-verifier-python-task-119:v0.1.1@sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f,linux/amd64,tasks/task_119,dockerhub-published

manifests/tasks.jsonl

@@ -116,4 +116,4 @@
 {"base_commit": "147c7aa24ec30b1c6a4d4820446915380752877b", "domain": "structural-engineering-finite-element-resilience", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-116:v0.1.1@sha256:919fdbc765237cfeebcada9836f4dafb7b54e2838381867da82911bf706c3473", "environment_image_digest": "sha256:919fdbc765237cfeebcada9836f4dafb7b54e2838381867da82911bf706c3473", "environment_image_id": "sha256:919fdbc765237cfeebcada9836f4dafb7b54e2838381867da82911bf706c3473", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-116:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "d303f1c6ce0e8937c822814863a006b6eaa1ee13e56843656713c67d6028abca", "release_id": "116", "repository_url": "https://github.com/JWock82/Pynite", "restricted_license": false, "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:v0.1.1@sha256:18362993ba38c4a6981c386934b43733bdf13d5d3792b5952b3762ff420be98e", "verifier_image_digest": "sha256:18362993ba38c4a6981c386934b43733bdf13d5d3792b5952b3762ff420be98e", "verifier_image_id": "sha256:18362993ba38c4a6981c386934b43733bdf13d5d3792b5952b3762ff420be98e", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-116:v0.1.1"}
 {"base_commit": "573e51689fe5fe54f279a7a875e431a35355fe73", "domain": "structural-engineering-disaster-resilience", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-117:v0.1.1@sha256:19952242ad26d8ec83451ad087d3e37b36cbe9c87312b37f3e8f6020b150dafe", "environment_image_digest": "sha256:19952242ad26d8ec83451ad087d3e37b36cbe9c87312b37f3e8f6020b150dafe", "environment_image_id": "sha256:19952242ad26d8ec83451ad087d3e37b36cbe9c87312b37f3e8f6020b150dafe", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-117:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "5a7cba20f99d10301680be877801376105a80b41b439e0dbc12187f40774b4ab", "release_id": "117", "repository_url": "https://github.com/JWock82/Pynite", "restricted_license": false, "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:v0.1.1@sha256:5c9d6aac4d7a4480cb2591fea878ea1d6c323bdd0571f2a0b9d88bbe3d0474b9", "verifier_image_digest": "sha256:5c9d6aac4d7a4480cb2591fea878ea1d6c323bdd0571f2a0b9d88bbe3d0474b9", "verifier_image_id": "sha256:5c9d6aac4d7a4480cb2591fea878ea1d6c323bdd0571f2a0b9d88bbe3d0474b9", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-117:v0.1.1"}
 {"base_commit": "2201589812172b25c515ad502c3607d1e2c65a92", "domain": "computational-high-energy-molecular-chemistry-periodic-models", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-118:v0.1.1@sha256:1be2825014bb2ea8415da827d416e7beb90d46d85a44e6bf3009cb0fdb3db0cc", "environment_image_digest": "sha256:1be2825014bb2ea8415da827d416e7beb90d46d85a44e6bf3009cb0fdb3db0cc", "environment_image_id": "sha256:1be2825014bb2ea8415da827d416e7beb90d46d85a44e6bf3009cb0fdb3db0cc", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-118:v0.1.1", "gpl_family": true, "image_platform": "linux/amd64", "language": "python", "license_gate": "gpl-family", "license_source": "COPYING.LESSER", "public_payload_sha256": "c8977cfc918310e5186ed40608c858b2c6bab8c47f0d50f4948f4fc9f34105b1", "release_id": "118", "repository_url": "https://github.com/tblite/tblite", "restricted_license": true, "schema_version": 1, "source_license": "LGPL-3.0-or-later", "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:v0.1.1@sha256:d9d994d83ed59efa74d512e9306ed84d990a37a00d7ce444e2b6738b124914fd", "verifier_image_digest": "sha256:d9d994d83ed59efa74d512e9306ed84d990a37a00d7ce444e2b6738b124914fd", "verifier_image_id": "sha256:d9d994d83ed59efa74d512e9306ed84d990a37a00d7ce444e2b6738b124914fd", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-118:v0.1.1"}
-{"base_commit": "dd5eec6bfefa11ffe0ec81e2c4018003e8e39f2b", "domain": "quantum-chemistry-reaction-paths", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.1@sha256:8b00c65ff5119f0b545cb71b624faa2a311ec0b91077f9a8e8948b0c114ffb19", "environment_image_digest": "sha256:8b00c65ff5119f0b545cb71b624faa2a311ec0b91077f9a8e8948b0c114ffb19", "environment_image_id": "sha256:8b00c65ff5119f0b545cb71b624faa2a311ec0b91077f9a8e8948b0c114ffb19", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "24f944bb0d203d04b8ea9a220c3242c901c034b9aef828168ef4bbd22d198bfd", "release_id": "119", "repository_url": "https://github.com/MolSSI/QCEngine", "restricted_license": false, "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:v0.1.1@sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f", "verifier_image_digest": "sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f", "verifier_image_id": "sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-119:v0.1.1"}
+{"base_commit": "dd5eec6bfefa11ffe0ec81e2c4018003e8e39f2b", "domain": "quantum-chemistry-reaction-paths", "environment_image": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.1@sha256:2259431fe6b24ca89cb78517fc0882c2143c9bc1eb1846a3cb451b43d3eae3b5", "environment_image_digest": "sha256:2259431fe6b24ca89cb78517fc0882c2143c9bc1eb1846a3cb451b43d3eae3b5", "environment_image_id": "sha256:2259431fe6b24ca89cb78517fc0882c2143c9bc1eb1846a3cb451b43d3eae3b5", "environment_image_tag": "docker.io/kevinxulearning/swe-bench-science-environment-python-task-119:v0.1.1", "gpl_family": false, "image_platform": "linux/amd64", "language": "python", "license_gate": "none", "license_source": "LICENSE", "public_payload_sha256": "24f944bb0d203d04b8ea9a220c3242c901c034b9aef828168ef4bbd22d198bfd", "release_id": "119", "repository_url": "https://github.com/MolSSI/QCEngine", "restricted_license": false, "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:v0.1.1@sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f", "verifier_image_digest": "sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f", "verifier_image_id": "sha256:2e5b8b443c3eb07bc0d543ee9d65e2565b3d6e0cd9e3193043e0f9c221ca4d2f", "verifier_image_tag": "docker.io/kevinxulearning/swe-bench-science-verifier-python-task-119:v0.1.1"}