Load the Supernova velocity vector field from "supernova100/data/supernova100.raw", the information about this dataset:
Supernova Velocity (Vector)
Data Scalar Type: float
Data Byte Order: Little Endian
Data Extent: 100x100x100
Number of Scalar Components: 3
Data loading is very important, make sure you correctly load the dataset according to their features.

Create streamlines using a "Stream Tracer" filter with "Point Cloud" seed type. Set the seed center to [50, 50, 50], with 200 seed points and a radius of 45.0. Set maximum streamline length to 100.0.

Add a "Tube" filter on the stream tracer. Set tube radius to 0.3 with 12 sides.

Color the tubes by Vorticity magnitude using a diverging colormap with the following RGB control points:
- Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
- Value 0.05 -> RGB(0.865, 0.865, 0.865) (white)
- Value 0.5 -> RGB(0.706, 0.016, 0.149) (red)

Show the dataset bounding box as an outline (black).

In the pipeline browser panel, hide the stream tracer and only show the tube filter and the outline.

Render at 1280x1280.

Save the paraview state as "supernova100/results/{agent_mode}/supernova100.pvsm".
Save the visualization image as "supernova100/results/{agent_mode}/supernova100.png".
(Optional, if use python script) Save the python script as "supernova100/results/{agent_mode}/supernova100.py".
Do not save any other files, and always save the visualization image.