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46
checkpoint.json
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@ -1,34 +1,59 @@
{
"timestamp": "2026-03-16T12:02:27.592367Z",
"current_node": "setup",
"timestamp": "2026-03-16T12:05:37.721224Z",
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"last_response": "Implemented the fix in the cloned Astropy checkout at `/home/daytona/workspace/astropy`.\n\nWhat changed:\n- `astropy/modeling/separable.py`\n - Fixed `_cstack()` so that when the right-hand side is alre",
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"response.solve": "Implemented the fix in the cloned Astropy checkout at `/home/daytona/workspace/astropy`.\n\nWhat changed:\n- `astropy/modeling/separable.py`\n - Fixed `_cstack()` so that when the right-hand side is already a computed separability matrix from a nested `CompoundModel`, it preserves that matrix instead of replacing it with all 1s.\n- `astropy/modeling/tests/test_separable.py`\n - Added a regression test covering `models.Pix2Sky_TAN() & (models.Linear1D(10) & models.Linear1D(5))`.\n\nRoot cause:\n- Nested compound models reach `_cstack()` as ndarray separability matrices.\n- The right-hand ndarray branch incorrectly did:\n - `cright[...] = 1`\n- That flattened all right-side dependencies into “non-separable”.\n- It now correctly does:\n - `cright[...] = right`\n\nValidation:\n- Reproduced the original bug before the change.\n- Ran:\n - `python -m pytest astropy/modeling/tests/test_separable.py -q`\n- Result:\n - `12 passed`\n\nThe original example now returns the expected matrix:\n```python\n[[ True True False False]\n [ True True False False]\n [False False True False]\n [False False False True]]\n```",
"internal.retry_count.solve": 1,
"internal.run_id": "01KKV8D5GSGKS4B48NJAMDYHVF",
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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",
"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",
"internal.node_visit_count": 1,
"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",
"graph.rankdir": "LR",
"failure_signature": "setup|deterministic|script failed with exit code: <n> ## stdout fatal: destination path '.' already exists and is not an empty directory.",
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"last_response": "Implemented the fix in the cloned Astropy checkout at `/home/daytona/workspace/astropy`.\n\nWhat changed:\n- `astropy/modeling/separable.py`\n - Fixed `_cstack()` so that when the right-hand side is alre",
"last_stage": "solve",
"response.solve": "Implemented the fix in the cloned Astropy checkout at `/home/daytona/workspace/astropy`.\n\nWhat changed:\n- `astropy/modeling/separable.py`\n - Fixed `_cstack()` so that when the right-hand side is already a computed separability matrix from a nested `CompoundModel`, it preserves that matrix instead of replacing it with all 1s.\n- `astropy/modeling/tests/test_separable.py`\n - Added a regression test covering `models.Pix2Sky_TAN() & (models.Linear1D(10) & models.Linear1D(5))`.\n\nRoot cause:\n- Nested compound models reach `_cstack()` as ndarray separability matrices.\n- The right-hand ndarray branch incorrectly did:\n - `cright[...] = 1`\n- That flattened all right-side dependencies into “non-separable”.\n- It now correctly does:\n - `cright[...] = right`\n\nValidation:\n- Reproduced the original bug before the change.\n- Ran:\n - `python -m pytest astropy/modeling/tests/test_separable.py -q`\n- Result:\n - `12 passed`\n\nThe original example now returns the expected matrix:\n```python\n[[ True True False False]\n [ True True False False]\n [False False True False]\n [False False False True]]\n```"
},
"notes": "Stage completed: solve",
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@ -46,12 +71,13 @@
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Goal: Modeling's `separability_matrix` does not compute separability correctly for nested CompoundModels
Consider the following model:
```python
from astropy.modeling import models as m
from astropy.modeling.separable import separability_matrix
cm = m.Linear1D(10) & m.Linear1D(5)
```
It's separability matrix as you might expect is a diagonal:
```python
>>> separability_matrix(cm)
array([[ True, False],
[False, True]])
```
If I make the model more complex:
```python
>>> separability_matrix(m.Pix2Sky_TAN() & m.Linear1D(10) & m.Linear1D(5))
array([[ True, True, False, False],
[ True, True, False, False],
[False, False, True, False],
[False, False, False, True]])
```
The output matrix is again, as expected, the outputs and inputs to the linear models are separable and independent of each other.
If however, I nest these compound models:
```python
>>> separability_matrix(m.Pix2Sky_TAN() & cm)
array([[ True, True, False, False],
[ True, True, False, False],
[False, False, True, True],
[False, False, True, True]])
```
Suddenly the inputs and outputs are no longer separable?
This feels like a bug to me, but I might be missing something?
## Completed stages
- **setup**: fail
- 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`
- Stdout:
```
fatal: destination path '.' already exists and is not an empty directory.
```
- Stderr: (empty)
## Context
- failure_class: deterministic
- failure_signature: setup|deterministic|script failed with exit code: <n> ## stdout fatal: destination path '.' already exists and is not an empty directory.
Fix this GitHub issue in the repository. Make the minimal code change needed.

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nodes/solve/provider_used.json Normal file
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{
"mode": "agent",
"provider": "openai",
"model": "gpt-5.4"
}

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nodes/solve/response.md Normal file
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@ -0,0 +1,30 @@
Implemented the fix in the cloned Astropy checkout at `/home/daytona/workspace/astropy`.
What changed:
- `astropy/modeling/separable.py`
- Fixed `_cstack()` so that when the right-hand side is already a computed separability matrix from a nested `CompoundModel`, it preserves that matrix instead of replacing it with all 1s.
- `astropy/modeling/tests/test_separable.py`
- Added a regression test covering `models.Pix2Sky_TAN() & (models.Linear1D(10) & models.Linear1D(5))`.
Root cause:
- Nested compound models reach `_cstack()` as ndarray separability matrices.
- The right-hand ndarray branch incorrectly did:
- `cright[...] = 1`
- That flattened all right-side dependencies into “non-separable”.
- It now correctly does:
- `cright[...] = right`
Validation:
- Reproduced the original bug before the change.
- Ran:
- `python -m pytest astropy/modeling/tests/test_separable.py -q`
- Result:
- `12 passed`
The original example now returns the expected matrix:
```python
[[ True True False False]
[ True True False False]
[False False True False]
[False False False True]]
```

6
nodes/solve/status.json Normal file
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@ -0,0 +1,6 @@
{
"status": "success",
"notes": "Stage completed: solve",
"failure_reason": null,
"timestamp": "2026-03-16T12:05:37.719387+00:00"
}