Skip to content

Conversation

@codeflash-ai
Copy link

@codeflash-ai codeflash-ai bot commented Nov 5, 2025

📄 487% (4.87x) speedup for Model3D.process_example in gradio/components/model3d.py

⏱️ Runtime : 17.1 microseconds 2.91 microseconds (best of 28 runs)

📝 Explanation and details

The optimization significantly improves the process_example method by avoiding unnecessary Path object creation for string inputs, achieving a 487% speedup.

Key optimization: The original code always creates a Path object via Path(value).name, even for string inputs. The optimized version uses string operations for string paths and only creates Path objects when the input is already a Path instance.

Specific changes:

  • Added explicit type checking with isinstance(value, Path) to handle Path objects directly
  • For string paths, used rsplit("/", 1)[-1] to extract filenames, followed by rsplit("\\", 1)[-1] if backslashes are present
  • This handles both Unix (/) and Windows (\) path separators without the overhead of Path instantiation

Why it's faster: Path object creation involves significant overhead including validation, normalization, and internal state setup. String operations like rsplit() are lightweight and operate directly on the underlying character data. The line profiler shows the original version spending 28,130 nanoseconds on a single Path(value).name call, while the optimized version completes the entire function in just 5,788 nanoseconds.

Impact on workloads: This optimization is particularly beneficial for components that frequently process file paths as strings (common in web applications), where the filename extraction happens repeatedly during UI rendering or example processing. The 5x performance improvement will be most noticeable in scenarios with many Model3D components or frequent re-renders.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 🔘 None Found
⏪ Replay Tests 2 Passed
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⏪ Replay Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
test_pytest_testtest_components_py_testcomponentstest_audio_py_testcomponentstest_file_py_testcomponentst__replay_test_0.py::test_gradio_components_model3d_Model3D_process_example 17.1μs 2.91μs 487%✅

To edit these changes git checkout codeflash/optimize-Model3D.process_example-mhli5e9k and push.

Codeflash Static Badge

The optimization significantly improves the `process_example` method by avoiding unnecessary `Path` object creation for string inputs, achieving a **487% speedup**.

**Key optimization:** The original code always creates a `Path` object via `Path(value).name`, even for string inputs. The optimized version uses string operations for string paths and only creates `Path` objects when the input is already a `Path` instance.

**Specific changes:**
- Added explicit type checking with `isinstance(value, Path)` to handle `Path` objects directly
- For string paths, used `rsplit("/", 1)[-1]` to extract filenames, followed by `rsplit("\\", 1)[-1]` if backslashes are present
- This handles both Unix (`/`) and Windows (`\`) path separators without the overhead of `Path` instantiation

**Why it's faster:** `Path` object creation involves significant overhead including validation, normalization, and internal state setup. String operations like `rsplit()` are lightweight and operate directly on the underlying character data. The line profiler shows the original version spending 28,130 nanoseconds on a single `Path(value).name` call, while the optimized version completes the entire function in just 5,788 nanoseconds.

**Impact on workloads:** This optimization is particularly beneficial for components that frequently process file paths as strings (common in web applications), where the filename extraction happens repeatedly during UI rendering or example processing. The 5x performance improvement will be most noticeable in scenarios with many Model3D components or frequent re-renders.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 5, 2025 04:33
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 5, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant