Add NumPy Backend for Faster Calculations

[evandempsey]

Update this application to do faster calculations using numpy.

I want a command line flag that switches on the numpy faster calculation backend.

Agent Context

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[open-swe]

🟠 Plan Ready for Approval 🟠

I've generated a plan for this issue and it's ready for your review.

Plan: Add NumPy backend for faster 3D rendering calculations with command line flag

• Task 1:

**Add command line argument parsing** to `/home/daytona/software-renderer/renderer/renderer.py` by importing `argparse` and replacing the simple `len(sys.argv) == 2` check with proper argument parsing that accepts a model file and an optional `--numpy` flag to enable the NumPy backend.

• Task 2:

**Create NumPy-optimized vertex transformation functions** in `/home/daytona/software-renderer/renderer/renderer.py` by adding a new method `render_scene_numpy()` to the `Scene` class that uses vectorized NumPy operations to replace the individual vertex transformation loop (lines 166-204). This should include creating rotation matrices and applying them to all vertices at once using `np.dot()` operations.

• Task 3:

**Implement NumPy-optimized vector operations for lighting** by creating a `gouraud_shading_numpy()` method in the `Scene` class in `/home/daytona/software-renderer/renderer/renderer.py` that uses NumPy's vectorized operations for vector subtraction, normalization (`np.linalg.norm`), and dot products instead of the manual calculations in the existing `gouraud_shading()` method (lines 240-280).

• Task 4:

**Add NumPy-optimized depth sorting** by creating a `painters_algorithm_numpy()` method in the `Scene` class in `/home/daytona/software-renderer/renderer/renderer.py` that uses NumPy array operations to calculate average depths for all facets at once instead of the lambda function approach in lines 234-242.

• Task 5:

**Modify the main render loop** in `/home/daytona/software-renderer/renderer/renderer.py` to conditionally call either the original `render_scene()` method or the new `render_scene_numpy()` method based on the command line flag, ensuring backward compatibility while enabling the NumPy optimizations when requested.

• Task 6:

**Update the objreader.py** at `/home/daytona/software-renderer/renderer/objreader.py` to optionally return NumPy arrays instead of Python lists when the NumPy backend is enabled, by adding a `use_numpy` parameter to the `read()` function and converting the vertices and facets to NumPy arrays using `np.array()`.

Please review the plan and let me know if you'd like me to proceed, make changes, or if you have any feedback.

✅ Plan Accepted ✅

The proposed plan was accepted.

Plan: Add NumPy backend for faster 3D rendering calculations with command line flag

• Task 1:

**Add command line argument parsing** to `/home/daytona/software-renderer/renderer/renderer.py` by importing `argparse` and replacing the simple `len(sys.argv) == 2` check with proper argument parsing that accepts a model file and an optional `--numpy` flag to enable the NumPy backend.

• Task 2:

**Create NumPy-optimized vertex transformation functions** in `/home/daytona/software-renderer/renderer/renderer.py` by adding a new method `render_scene_numpy()` to the `Scene` class that uses vectorized NumPy operations to replace the individual vertex transformation loop (lines 166-204). This should include creating rotation matrices and applying them to all vertices at once using `np.dot()` operations.

• Task 3:

**Implement NumPy-optimized vector operations for lighting** by creating a `gouraud_shading_numpy()` method in the `Scene` class in `/home/daytona/software-renderer/renderer/renderer.py` that uses NumPy's vectorized operations for vector subtraction, normalization (`np.linalg.norm`), and dot products instead of the manual calculations in the existing `gouraud_shading()` method (lines 240-280).

• Task 4:

**Add NumPy-optimized depth sorting** by creating a `painters_algorithm_numpy()` method in the `Scene` class in `/home/daytona/software-renderer/renderer/renderer.py` that uses NumPy array operations to calculate average depths for all facets at once instead of the lambda function approach in lines 234-242.

• Task 5:

**Modify the main render loop** in `/home/daytona/software-renderer/renderer/renderer.py` to conditionally call either the original `render_scene()` method or the new `render_scene_numpy()` method based on the command line flag, ensuring backward compatibility while enabling the NumPy optimizations when requested.

• Task 6:

**Update the objreader.py** at `/home/daytona/software-renderer/renderer/objreader.py` to optionally return NumPy arrays instead of Python lists when the NumPy backend is enabled, by adding a `use_numpy` parameter to the `read()` function and converting the vertices and facets to NumPy arrays using `np.array()`.

Proceeding to implementation...