Task:

Load the solar plume dataset from "solar-plume/data/solar-plume_126x126x512_float32_scalar3.raw", the information about this dataset:
solar-plume (Vector)
Data Scalar Type: float
Data Byte Order: little Endian
Data Extent: 126x126x512
Number of Scalar Components: 3
Data loading is very important, make sure you correctly load the dataset according to their features.

Add a “stream tracer” filter under the solar plume data to display streamline, set the "Seed type" to "Point Cloud" and set the center of point cloud to 3D position [50, 50, 320] with a radius 30, then hide the point cloud sphere.

Add a "tube" filter under the "stream tracer" filter to enhance the streamline visualization. Set the radius to 0.5. In the pipeline browser panel, hide everything except the "tube" filter. 


Please think step by step and make sure to fulfill all the visualization goals mentioned above.

Set the viewpoint parameters as: [62.51, -984.78, 255.45] to position; [62.51, 62.46, 255.45] to focal point; [0, 0, 1] to camera up direction.

Use a white background. Find an optimal view. Render at 1280x1280. Do not show a color bar or coordinate axes.

Save the visualization image as "solar-plume/results/{agent_mode}/solar-plume.png".
(Optional, but must save if use paraview) Save the paraview state as "solar-plume/results/{agent_mode}/solar-plume.pvsm".
(Optional, but must save if use pvpython script) Save the python script as "solar-plume/results/{agent_mode}/solar-plume.py".
(Optional, but must save if use VTK) Save the cxx code script as "solar-plume/results/{agent_mode}/solar-plume.cxx"
Do not save any other files, and always save the visualization image.