SciVisAgentBench-tasks / paraview /Bernard /task_description.txt
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Load the Rayleigh-Benard convection vector field from "Bernard/data/Bernard_128x32x64_float32_scalar3.raw", the information about this dataset:
Rayleigh-Benard Convection (Vector)
Data Scalar Type: float
Data Byte Order: Little Endian
Data Extent: 128x32x64
Number of Scalar Components: 3
Data loading is very important, make sure you correctly load the dataset according to their features.
Create four streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 12.7:
- Streamline 1: Seed center at [30.69, 14.61, 47.99]. Apply a "Tube" filter (radius 0.3, 12 sides). Color with solid blue (RGB: 0.0, 0.67, 1.0).
- Streamline 2: Seed center at [91.10, 14.65, 45.70]. Apply a "Tube" filter (radius 0.3, 12 sides). Color with solid orange (RGB: 1.0, 0.33, 0.0).
- Streamline 3: Seed center at [31.87, 12.76, 15.89]. Apply a "Tube" filter (radius 0.3, 12 sides). Color by velocity magnitude using the 'Cool to Warm (Diverging)' colormap.
- Streamline 4: Seed center at [92.09, 10.50, 15.32]. Apply a "Tube" filter (radius 0.3, 12 sides). Color with solid green (RGB: 0.33, 0.67, 0.0).
In the pipeline browser panel, hide all stream tracers and only show the tube filters.
Use a white background. Render at 1280x1280. Do not show a color bar.
Set the viewpoint parameters as: [-81.99, -141.45, 89.86] to position; [65.58, 26.29, 28.48] to focal point; [0.18, 0.20, 0.96] to camera up direction.
Save the visualization image as "Bernard/results/{agent_mode}/Bernard.png".
(Optional, but must save if use paraview) Save the paraview state as "Bernard/results/{agent_mode}/Bernard.pvsm".
(Optional, but must save if use pvpython script) Save the python script as "Bernard/results/{agent_mode}/Bernard.py".
Do not save any other files, and always save the visualization image.