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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: defaults Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (1)
📝 WalkthroughWalkthroughThe Linux GitHub Actions workflow now tests Python 3.14 and includes that version in the Linux artifact upload condition. ChangesCI workflow
Estimated code review effort: 1 (Trivial) | ~2 minutes Possibly related PRs
Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 2
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.github/workflows/ci.yml:
- Around line 2-9: Restore the missing dependency installation and validation
steps in the build job after the Python setup, including installing Pillow and
PyQt5 and running the intended test/build commands. Ensure the job executes the
project’s established validation workflow rather than succeeding after checkout
and interpreter setup alone.
- Around line 6-9: Declare the supported Python minor version in
packaging/setup.py using python_requires and matching Python-version
classifiers, then update the setup-python step in the CI workflow to pin that
same minor version instead of 3.x. Keep the metadata and CI version values
consistent.
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Fix all unresolved CodeRabbit comments on this PR:
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Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.github/workflows/ci.yml:
- Around line 18-23: Update the artifact-upload condition around the pip matrix
job to match the current python-version value of '3.x', or introduce and use an
explicit upload flag for the pip entry. Ensure the wheel built by the pip
install_variant is uploaded while preserving the existing behavior for other
matrix entries.
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Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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Review profile: CHILL
Plan: Pro Plus
Run ID: 6d82ad48-2e74-44df-9560-f803604a0410
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Actionable comments posted: 1
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In @.github/workflows/ci.yml:
- Line 18: Remove Python 3.14 from the python-version matrix in the CI workflow,
leaving 3.10.8 through 3.13 enabled so the Linux pip job remains compatible with
its existing torch and torchvision pins.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro Plus
Run ID: c861df13-eb6e-45b0-bee2-09d8c21fb938
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.github/workflows/ci.yml
| strategy: | ||
| matrix: | ||
| python-version: [3.10.8, 3.11, 3.12, 3.13] | ||
| python-version: ['3.10.8', '3.11', '3.12', '3.13', '3.14'] |
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🩺 Stability & Availability | 🟠 Major | ⚡ Quick win
🧩 Analysis chain
🏁 Script executed:
#!/usr/bin/env bash
set -euo pipefail
python -m pip install --dry-run --only-binary=:all: \
--python-version 3.14 \
-r packaging/pip_requirements.txtRepository: intra2net/guibot
Length of output: 191
🏁 Script executed:
#!/usr/bin/env bash
set -euo pipefail
echo "Files:"
git ls-files | rg '(^\.github/workflows/ci\.yml$|^packaging/pip_requirements\.txt$|requirements|pip_requirements)' || true
echo
echo "Workflow around Python matrix:"
sed -n '1,80p' .github/workflows/ci.yml || true
echo
echo "Packaging requirements:"
sed -n '1,200p' packaging/pip_requirements.txt || true
echo
echo "Platform files around requirements references:"
rg -n "pip_requirements|requirements|torchvision|torch|python_requires|Classifier.*Python" -S . --glob '!*.log' --glob '!*.pyc' || trueRepository: intra2net/guibot
Length of output: 10244
🌐 Web query:
PyTorch 2.6.0 supported Python versions
💡 Result:
PyTorch 2.6.0 supports Python versions 3.9 through 3.13 [1][2]. Additionally, it includes experimental support for Python 3.13t [1][2]. This compatibility reflects PyTorch's general policy of supporting minor versions of CPython that have not reached end-of-life status [1][2]. With the release of PyTorch 2.6.0 on January 29, 2025, the framework also added official support for using torch.compile with Python 3.13 [3][4].
Citations:
- 1: https://github.com/pytorch/pytorch/blob/c9edd37ffb8c824db7da4e353a783b9738d71cca/RELEASE.md
- 2: https://github.com/pytorch/pytorch/blob/2680e835c87be0e38c713deda900afa68774649c/RELEASE.md
- 3: https://github.com/pytorch/pytorch/releases/tag/v2.6.0
- 4: https://pytorch.org/blog/pytorch2-6/
🌐 Web query:
torchvision 0.21.0 supported Python versions
💡 Result:
Torchvision 0.21.0 supports Python versions >=3.9 and <=3.12 [1][2][3]. It is compatible with PyTorch 2.6 [4].
Citations:
- 1: https://github.com/pytorch/vision?tab=readme-ov-file
- 2: https://github.com/pytorch/vision
- 3: https://github.com/pytorch/vision/blob/9e6b6a13b602fcfb092c3edbbb9c550c08e7dbc5/README.md
- 4: https://github.com/pytorch/pytorch/wiki/PyTorch-Versions
🌐 Web query:
pip PyTorch 2.6.0 Python 3.14 compatible
💡 Result:
PyTorch 2.6.0 is not compatible with Python 3.14 [1][2][3]. PyTorch 2.6.0 officially supports Python versions 3.9 through 3.13 (with experimental support for 3.13t) [1][2][3]. Python 3.14 was not supported by the PyTorch 2.6 release [1][2][3]. If you require Python 3.14 support, you must use a later version of PyTorch, such as PyTorch 2.9 or newer, which introduced compatibility for Python 3.14 [4][5].
Citations:
- 1: https://github.com/pytorch/pytorch/blob/203a27e0cecce5b9050218c9d6a56c8cd2ebd0a5/RELEASE.md
- 2: https://github.com/pytorch/pytorch/blob/c9edd37ffb8c824db7da4e353a783b9738d71cca/RELEASE.md
- 3: https://github.com/pytorch/pytorch/blob/ce00ec7ecf08af3aede9f5f0a428848f07a5234c/RELEASE.md
- 4: https://github.com/pytorch/pytorch/blob/main/RELEASE.md
- 5: https://github.com/pytorch/pytorch/releases
🌐 Web query:
PyTorch 2.9 Python 3.14 supported
💡 Result:
Yes, PyTorch 2.9 supports Python 3.14 [1][2]. In PyTorch 2.9, Python 3.14 (including the free-threaded 3.14t variant) was introduced with preview status [1][3]. While Python 3.14 compatibility is included, users should be aware of the following details: - Hardware Acceleration: There have been reports of limited availability for specific CUDA/GPU-enabled wheels for Python 3.14, with some configurations defaulting to CPU-only [4]. - Versioning: PyTorch 2.9 requires a minimum of Python 3.10 [1][2]. - Current Context: As of July 30, 2026, PyTorch has since progressed through several subsequent releases, with version 2.13.0 being the latest stable release [5][6]. Newer versions have expanded support for even more recent Python releases, such as Python 3.15 [5].
Citations:
- 1: https://github.com/pytorch/pytorch/releases/tag/v2.9.0
- 2: https://michaelbommarito.com/wiki/programming/languages/python/libraries/pytorch-2-9-release/
- 3: https://github.com/pytorch/pytorch/releases
- 4: Python 3.14 – No CUDA/GPU Wheels Available (Only CPU Build Installed) pytorch/pytorch#169929
- 5: https://github.com/pytorch/pytorch/releases/tag/v2.13.0
- 6: https://dev-discuss.pytorch.org/c/release-announcements/27
🌐 Web query:
torchvision Python 3.14 support latest
💡 Result:
As of July 30, 2026, torchvision officially supports Python 3.14 [1][2][3]. Current support status and details: - Official Compatibility: According to official PyTorch project documentation and PyPI metadata, torchvision versions 0.25.0 and later explicitly support Python 3.14 (specifically ranging from >=3.10 up to <=3.14) [1][2][3]. - PyTorch Dependency: Since PyTorch 2.9.0, Python 3.14 and its free-threaded variant (3.14t) have been supported as part of the official releases [4][5]. - Considerations: While Python 3.14 is supported, users should verify their specific environment requirements. Some users have reported challenges with CUDA-enabled wheel availability for specific sub-configurations [6], and it is recommended to check the official PyTorch installation guide for your specific OS and hardware setup to ensure compatible binaries are available [7]. For the most stable experience, ensure you are using a torchvision version that corresponds to your installed PyTorch version [1][5]. You can verify the exact supported versions in your local environment by checking the torchvision metadata or the official PyTorch vision repository [1][3].
Citations:
- 1: https://pypi.org/project/torchvision/
- 2: https://github.com/pytorch/vision/
- 3: https://github.com/pytorch/vision?tab=readme-ov-file
- 4: https://github.com/pytorch/pytorch/releases
- 5: https://github.com/pytorch/pytorch/blob/29317041e7351bd5a15939fa672176b1b709c5ed/RELEASE.md
- 6: Python 3.14 – No CUDA/GPU Wheels Available (Only CPU Build Installed) pytorch/pytorch#169929
- 7: https://pytorch.org/get-started/locally/
🌐 Web query:
PyTorch 2.6.0 Python 3.13 release notes
💡 Result:
PyTorch 2.6.0 was released on January 29, 2025 [1][2]. A primary feature of this release is the official support for Python 3.13, including beta support for torch.compile in Python 3.13 environments [1][3]. Key points regarding Python 3.13 support in PyTorch 2.6.0: - torch.compile Compatibility: While torch.compile previously supported Python versions up to 3.12, PyTorch 2.6.0 introduced beta-level support for optimizing models with torch.compile in Python 3.13 [1][3]. - Free-Threading (3.13t): PyTorch 2.6.0 included experimental support for the Python 3.13t (free-threaded/no-GIL) build, though these binaries were initially made available specifically via download.pytorch.org rather than PyPI to signify their experimental status [4][5]. - General Support: PyTorch 2.6.0 officially supports Python versions from 3.9 up to 3.13 [5][6]. Users are advised that PyTorch typically follows a three-release-per-year cadence [7]. By the time of your inquiry in July 2026, later versions of PyTorch (such as 2.8, 2.9, and beyond) have been released, which have further evolved support for subsequent Python versions [8][9].
Citations:
- 1: https://github.com/pytorch/pytorch/releases/tag/v2.6.0
- 2: https://dev-discuss.pytorch.org/t/pytorch-2-6-0-general-availability/2762/1
- 3: https://pytorch.org/blog/pytorch2-6/
- 4: Python 3.13 support for PyTorch pytorch/pytorch#130249
- 5: https://github.com/pytorch/pytorch/blob/HEAD/RELEASE.md
- 6: https://github.com/pytorch/pytorch/blob/3b7d6bbe8be3609fddc65998d83779642f6dd14c/RELEASE.md
- 7: https://pypi.org/project/torch/2.6.0/
- 8: https://github.com/pytorch/pytorch/releases
- 9: https://github.com/pytorch/pytorch/wiki/PyTorch-Versions
🌐 Web query:
torchvision 0.20.0 Python 3.13 support
💡 Result:
Torchvision 0.20.0 does not officially support Python 3.13 [1][2][3][4]. Official documentation and compatibility tables indicate that Torchvision 0.20.0 is compatible with Python versions 3.9 through 3.12 [2][3][4]. Python 3.13 support was introduced in later versions of the library, beginning with Torchvision 0.21.0 [5]. Users attempting to use Torchvision 0.20.0 with Python 3.13 may encounter installation or runtime issues due to the lack of official support [5].
Citations:
- 1: https://pypi.org/project/torchvision/0.20.0/
- 2: https://github.com/pytorch/vision?tab=readme-ov-file
- 3: https://github.com/pytorch/vision/blob/9e6b6a13b602fcfb092c3edbbb9c550c08e7dbc5/README.md
- 4: https://github.com/PyTorch/vision
- 5: Support for python 3.13 pytorch/vision#8747
Make the Python 3.14 pip matrix compatible before enabling it.
The Linux pip job installs torch==2.6.0 and torchvision==0.21.0 for Python ≥3.12, but both supported only through Python 3.13 / 3.12 respectively, so the 3.14 entry will fail during dependency installation. Constrain python-version: ['3.10.8', '3.11', '3.12', '3.13'], or update the ≥3.12 pins to a supported 3.14-compatible pair.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In @.github/workflows/ci.yml at line 18, Remove Python 3.14 from the
python-version matrix in the CI workflow, leaving 3.10.8 through 3.13 enabled so
the Linux pip job remains compatible with its existing torch and torchvision
pins.
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #92 +/- ##
=======================================
Coverage 89.23% 89.23%
=======================================
Files 17 17
Lines 4643 4643
=======================================
Hits 4143 4143
Misses 500 500 ☔ View full report in Codecov by Harness. 🚀 New features to boost your workflow:
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