⚡ Bolt: Optimize repeated strip calls with walrus operator

[bashandbone]

💡 What: Modified _nvidia_smi_device_ids in src/codeweaver/providers/optimize.py to use the Python walrus operator (:=) inside its list comprehension.
🎯 Why: The previous implementation called line.strip() twice per string iteration: once to check .isdigit() and again before passing to int().
📊 Impact: Minor reduction in redundant string allocations and string operations when checking lines emitted by nvidia-smi.
🔬 Measurement: Verify by running tests or nvidia-smi parser logic to ensure correctness. The underlying change reduces string evaluation by exactly 1 call per parsed iteration.

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PR created automatically by Jules for task 6689209347987616311 started by @bashandbone

Summary by Sourcery

Enhancements:

• Use the walrus operator in the NVIDIA SMI device ID parser to eliminate duplicate strip calls per line.

[google-labs-jules]

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[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Refactors the _nvidia_smi_device_ids helper to use the walrus operator in its list comprehension, eliminating a redundant strip() call per parsed line for minor performance and allocation benefits.

File-Level Changes

Change	Details	Files
Optimize nvidia-smi output parsing by storing the stripped line once in the list comprehension using the walrus operator.	Replace repeated line.strip() calls in the list comprehension with a single assignment using the walrus operator (stripped := line.strip()) Update the integer conversion to operate on the already-stripped string variable instead of calling strip() again Add brief inline comments documenting the optimization and expected minor performance impact	src/codeweaver/providers/optimize.py

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[github-actions]

🤖 Hi @bashandbone, I've received your request, and I'm working on it now! You can track my progress in the logs for more details.

[sourcery-ai]

Hey - I've left some high level feedback:

• Given this is a micro-optimization, consider whether the walrus-based comprehension plus extra comments hurt readability compared to a simple temporary variable assigned just above the list comprehension (e.g., lines = [l.strip() for l in out.splitlines()]) and then filtering/converting in a clearer second step.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- Given this is a micro-optimization, consider whether the walrus-based comprehension plus extra comments hurt readability compared to a simple temporary variable assigned just above the list comprehension (e.g., `lines = [l.strip() for l in out.splitlines()]`) and then filtering/converting in a clearer second step.

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[github-actions]

🤖 I'm sorry @bashandbone, but I was unable to process your request. Please see the logs for more details.

[Copilot]

Pull request overview

This PR makes a small performance-focused update to the NVIDIA GPU detection helper by avoiding redundant strip() calls when parsing nvidia-smi output.

Changes:

• Update _nvidia_smi_device_ids() to use a walrus operator inside the list comprehension so each line is stripped only once.
• Add inline comments documenting the micro-optimization and its expected impact.

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