mirror of
https://github.com/fabro-sh/fabro.git
synced 2026-09-06 08:18:58 +00:00
parent
ee7d975128
commit
2e702cf5cb
5 changed files with 48 additions and 11 deletions
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@ -1,19 +1,21 @@
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{
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"timestamp": "2026-03-16T12:00:34.997886Z",
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"current_node": "solve",
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"timestamp": "2026-03-16T12:00:37.460542Z",
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"current_node": "extract_patch",
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"completed_nodes": [
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"start",
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"setup",
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"solve"
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"solve",
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"extract_patch"
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],
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"node_retries": {
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"start": 1,
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"solve": 1,
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"setup": 1
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"setup": 1,
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"start": 1,
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"extract_patch": 1
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},
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"context_values": {
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"graph.rankdir": "LR",
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"current_node": "solve",
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"current_node": "extract_patch",
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"internal.node_visit_count": 1,
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"internal.retry_count.start": 1,
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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",
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@ -22,17 +24,19 @@
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"response.solve": "The fix is applied. Here's a summary:\n\n## Root Cause\n\nIn `astropy/modeling/separable.py`, the `_cstack` function handles the `&` (concatenation) operator for computing separability matrices. When the right operand is already an ndarray (which happens when it's a nested CompoundModel that has already been recursively evaluated by `_separable`), line 245 was:\n\n```python\ncright[-right.shape[0]:, -right.shape[1]:] = 1\n```\n\nThis set the entire bottom-right block to `1`, **discarding** the actual separability information that was computed for the nested compound model. This made all outputs appear to depend on all inputs for that sub-model.\n\n## Fix\n\nChanged line 245 from `= 1` to `= right`:\n\n```python\ncright[-right.shape[0]:, -right.shape[1]:] = right\n```\n\nThis preserves the actual separability matrix computed for the nested compound model, just like the `left` branch already correctly does on line 240 (`= left`).\n\nThis is a one-line fix that makes the `right` branch consistent with the `left` branch — both now properly copy the pre-computed separability matrix instead of replacing it with all ones.",
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"outcome": "success",
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"last_stage": "solve",
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"internal.retry_count.extract_patch": 1,
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"thread.start.current_node": "setup",
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"internal.fidelity": "compact",
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"internal.retry_count.solve": 1,
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"thread.setup.current_node": "solve",
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"internal.thread_id": "setup",
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"thread.solve.current_node": "extract_patch",
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"internal.thread_id": "solve",
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"failure_class": "",
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"internal.run_id": "01KKV857H2RFAYPQBG0N9873NR",
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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",
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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- **solve**: success\n - Model: claude-opus-4-6, 11.4k tokens in / 3.3k out\n - Files: /home/daytona/workspace/astropy_repo/astropy/modeling/separable.py\n",
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"internal.retry_count.setup": 1,
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"last_response": "The fix is applied. Here's a summary:\n\n## Root Cause\n\nIn `astropy/modeling/separable.py`, the `_cstack` function handles the `&` (concatenation) operator for computing separability matrices. When the ",
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"command.output": "fatal: destination path '.' already exists and is not an empty directory.\n"
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"command.output": "diff --git a/astropy_repo b/astropy_repo\n--- a/astropy_repo\n+++ b/astropy_repo\n@@ -1 +1 @@\n-Subproject commit d16bfe05a744909de4b27f5875fe0d4ed41ce607\n+Subproject commit d16bfe05a744909de4b27f5875fe0d4ed41ce607-dirty\n"
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},
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"logs": [],
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"node_outcomes": {
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@ -48,6 +52,15 @@
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},
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"duration_ms": 212
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},
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"extract_patch": {
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"status": "success",
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"context_updates": {
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"command.stderr": "",
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"command.output": "diff --git a/astropy_repo b/astropy_repo\n--- a/astropy_repo\n+++ b/astropy_repo\n@@ -1 +1 @@\n-Subproject commit d16bfe05a744909de4b27f5875fe0d4ed41ce607\n+Subproject commit d16bfe05a744909de4b27f5875fe0d4ed41ce607-dirty\n"
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},
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"notes": "Script completed: git diff",
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"duration_ms": 41
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},
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"start": {
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"status": "success",
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"duration_ms": 0
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@ -75,13 +88,14 @@
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"duration_ms": 144779
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}
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},
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"next_node_id": "extract_patch",
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"next_node_id": "exit",
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"loop_failure_signatures": {
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"setup|deterministic|script failed with exit code: <n> ## stdout fatal: destination path '.' already exists and is not an empty directory.": 1
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},
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"node_visits": {
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"start": 1,
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"setup": 1,
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"solve": 1
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"solve": 1,
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"extract_patch": 1
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}
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}
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5
nodes/extract_patch/script_invocation.json
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5
nodes/extract_patch/script_invocation.json
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{
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"command": "git diff",
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"language": "shell",
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"timeout_ms": null
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}
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5
nodes/extract_patch/script_timing.json
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5
nodes/extract_patch/script_timing.json
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@ -0,0 +1,5 @@
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{
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"duration_ms": 40,
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"exit_code": 0,
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"timed_out": false
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}
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6
nodes/extract_patch/status.json
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6
nodes/extract_patch/status.json
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@ -0,0 +1,6 @@
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{
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"status": "success",
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"notes": "Script completed: git diff",
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"failure_reason": null,
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"timestamp": "2026-03-16T12:00:37.460167+00:00"
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}
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7
nodes/solve/diff.patch
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7
nodes/solve/diff.patch
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@ -0,0 +1,7 @@
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diff --git a/astropy_repo b/astropy_repo
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new file mode 160000
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index 0000000..d16bfe0
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--- /dev/null
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+++ b/astropy_repo
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@@ -0,0 +1 @@
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+Subproject commit d16bfe05a744909de4b27f5875fe0d4ed41ce607
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