KuangshiAi
add 16 vector field cases from Kaiyuan Tang
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Load the turbulent radiative layer velocity field dataset from "trl-velocity_streamline/data/trl-velocity_streamline.vti" (VTI format, 256x128x128 grid).
Generate streamlines seeded from a line along the x-axis at y=64, z=64 (from x=0 to x=255), with 100 seed points.
Color streamlines by velocity magnitude using the 'Inferno (matplotlib)' colormap. Render as tubes with radius 0.5.
Add a color bar labeled 'Velocity Magnitude'.
Dark background (RGB: 0.0, 0.0, 0.0). Set an isometric camera view. Render at 1024x1024."
Save the paraview state as "trl-velocity_streamline/results/{agent_mode}/trl-velocity_streamline.pvsm".
Save the visualization image as "trl-velocity_streamline/results/{agent_mode}/trl-velocity_streamline.png".
(Optional, if use python script) Save the python script as "trl-velocity_streamline/results/{agent_mode}/trl-velocity_streamline.py".
Do not save any other files, and always save the visualization image.