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Fabro 2026-03-16 08:07:22 -04:00
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36
checkpoint.json
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@ -1,41 +1,54 @@
{
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"current.preamble": "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\n\n## Completed stages\n- **setup**: fail\n - 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`\n - Stdout:\n ```\n fatal: destination path '.' already exists and is not an empty directory.\n ```\n - Stderr: (empty)\n\n## Context\n- failure_class: deterministic\n- failure_signature: setup|deterministic|script failed with exit code: <n> ## stdout fatal: destination path '.' already exists and is not an empty directory.\n",
"current.preamble": "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\n\n## Completed stages\n- **setup**: fail\n - 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`\n - Stdout:\n ```\n fatal: destination path '.' already exists and is not an empty directory.\n ```\n - Stderr: (empty)\n- **solve**: success\n - Model: claude-opus-4-6, 17.5k tokens in / 6.8k out\n - Files: /home/daytona/workspace/astropy/modeling/separable.py, /tmp/astropy_fix/astropy/modeling/separable.py\n",
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"last_response": "The meaningful change is just the one line in `astropy/modeling/separable.py` line 245: changing `= 1` to `= right`.\n\n## Summary\n\nThe bug was in the `_cstack` function in `astropy/modeling/separable.p",
"current_node": "solve",
"current_node": "extract_patch",
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"graph.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",
"internal.fidelity": "compact",
"response.solve": "The meaningful change is just the one line in `astropy/modeling/separable.py` line 245: changing `= 1` to `= right`.\n\n## Summary\n\nThe bug was in the `_cstack` function in `astropy/modeling/separable.py`, which handles the `&` (concatenation) operator for compound models.\n\n**Root cause:** On line 245, when the `right` operand is an ndarray (which happens when it's the result of a nested CompoundModel that has already been processed into a separability matrix), the code was filling the bottom-right portion of the output matrix with `1` instead of copying the actual values from the `right` matrix:\n\n```python\n# Bug: fills with all 1s, destroying separability information\ncright[-right.shape[0]:, -right.shape[1]:] = 1\n```\n\n**Fix:** Copy the actual separability matrix values from `right`:\n\n```python\n# Fix: preserves the actual separability information\ncright[-right.shape[0]:, -right.shape[1]:] = right\n```\n\nThis is consistent with how the `left` operand is handled (line 240: `cleft[: left.shape[0], : left.shape[1]] = left`), where it correctly copies the actual matrix values. The `right` branch simply had a bug where it used `1` instead of `right`."
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@ -76,13 +89,14 @@
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