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Fabro 2026-03-16 08:02:27 -04:00
parent d0c1ef15d0
commit 14cf64d1aa
3 changed files with 27 additions and 0 deletions

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digraph SWEBench {
rankdir=LR
start [shape=Mdiamond]
exit [shape=Msquare]
setup [label="Setup", shape=parallelogram, script="git clone https://github.com/astropy/astropy.git . && git checkout d16bfe05a744909de4b27f5875fe0d4ed41ce607 && sed -i 's/requires = \\[\"setuptools\",/requires = \\[\"setuptools==68.0.0\",/' pyproject.toml && python -m pip install -e .[test] --verbose"]
solve [label="Solve", prompt="Fix this GitHub issue in the repository. Make the minimal code change needed."]
extract_patch [label="Extract Patch", shape=parallelogram, script="git diff"]
start -> setup -> solve -> extract_patch -> exit
}

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{
"run_id": "01KKV8D5GSGKS4B48NJAMDYHVF",
"workflow_name": "SWEBench",
"goal": "Modeling's `separability_matrix` does not compute separability correctly for nested CompoundModels\nConsider the following model:\r\n\r\n```python\r\nfrom astropy.modeling import models as m\r\nfrom astropy.modeling.separable import separability_matrix\r\n\r\ncm = m.Linear1D(10) & m.Linear1D(5)\r\n```\r\n\r\nIt's separability matrix as you might expect is a diagonal:\r\n\r\n```python\r\n>>> separability_matrix(cm)\r\narray([[ True, False],\r\n [False, True]])\r\n```\r\n\r\nIf I make the model more complex:\r\n```python\r\n>>> separability_matrix(m.Pix2Sky_TAN() & m.Linear1D(10) & m.Linear1D(5))\r\narray([[ True, True, False, False],\r\n [ True, True, False, False],\r\n [False, False, True, False],\r\n [False, False, False, True]])\r\n```\r\n\r\nThe output matrix is again, as expected, the outputs and inputs to the linear models are separable and independent of each other.\r\n\r\nIf however, I nest these compound models:\r\n```python\r\n>>> separability_matrix(m.Pix2Sky_TAN() & cm)\r\narray([[ True, True, False, False],\r\n [ True, True, False, False],\r\n [False, False, True, True],\r\n [False, False, True, True]])\r\n```\r\nSuddenly the inputs and outputs are no longer separable?\r\n\r\nThis feels like a bug to me, but I might be missing something?\n",
"start_time": "2026-03-16T12:02:27.504046Z",
"node_count": 5,
"edge_count": 4,
"run_branch": "fabro/run/01KKV8D5GSGKS4B48NJAMDYHVF",
"base_sha": "470fcfe1200b2102c0cdf91c73b0ed8d925f258a",
"base_branch": "main",
"workflow_slug": "astropy__astropy-12907",
"host_repo_path": "/Users/bhelmkamp/p/fabro-sh/fabro/evals/swe-bench/results/gpt54-baseline/runs/astropy__astropy-12907"
}

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{
"provider": "daytona",
"working_directory": "/home/daytona/workspace",
"identifier": "fabro-01KKV8D5GSGKS4B48NJAMDYHVF"
}