SciVisAgentBench-tasks / paraview /climate /task_description.txt
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Read in the file named "climate/data/climate.vtp".
Apply a calculator filter to convert velocity from geospatial to lat-long coordinates.
Render the computed values using a tube filter with 0.05 radius, colored by velocity magnitude, and lit with maximum shininess and include normals for lighting.
Add cone glyphs to show the direction of the velocity, using 10 polygons, radius 0.15, height 0.5, and scaling factor 0.5.
View the result in the -z direction scaled so that the tubes occupy most of the image.
Save a screenshot of the result, 2294 x 1440 pixels, white background, in the filename "climate/results/{agent_mode}/climate.png".
Finally, save the ParaView state as "climate/results/{agent_mode}/climate.pvsm"
I would like to use ParaView to visualize a dataset of ocean currents.
Read in the file named "climate/data/climate.vtp".
Apply a calculator filter to compute the following function:
(-velocity_X*sin(coordsX*0.0174533) + velocity_Y*cos(coordsX*0.0174533)) * iHat + (-velocity_X * sin(coordsY*0.0174533) * cos(coordsX*0.0174533) - velocity_Y * sin(coordsY*0.0174533) * sin(coordsX*0.0174533) + velocity_Z * cos(coordsY*0.0174533)) * jHat + 0*kHat
Render the computed values using a tube filter with 0.05 as the tube radius.
Color the tubes by the magnitude of the velocity.
Light the tubes with the maximum shininess and include normals in the lighting.
Add cone glyphs to show the direction of the velocity.
The glyphs are composed of 10 polygons, having a radius 0 0.15, a height of 0.5, and a scaling factor of 0.5.
View the result in the -z direction.
Adjust the view so that the tubes occupy the 90% of the image.
Save a screenshot of the result, 2294 x 1440 pixels, white background, in the filename "climate/results/{agent_mode}/climate.png".
(Optional, but must save if use paraview) Save the paraview state as "climate/results/{agent_mode}/climate.pvsm".
(Optional, but must save if use python script) Save the python script as "climate/results/{agent_mode}/climate.py".
Do not save any other files, and always save the visualization image.