KuangshiAi commited on
Commit ·
bab09a2
1
Parent(s): d1b209f
modify crayfish case
Browse files
eval_cases/paraview/paraview_cases.yaml
CHANGED
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@@ -232,7 +232,7 @@
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# Case 7: crayfish_streamline
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- vars:
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question: |
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Load the Crayfish flow vector field from "
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Crayfish Flow (Vector)
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Data Scalar Type: float
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Data Byte Order: Little Endian
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@@ -241,23 +241,21 @@
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Data loading is very important, make sure you correctly load the dataset according to their features.
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Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
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- Streamline 1: Seed center at [107.33, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by
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- Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
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- Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
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- Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
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- Streamline 2: Seed center at [214.67, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by
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Show the dataset bounding box as an outline (black).
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In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
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Use a
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-
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Set the viewpoint parameters as: [435.04, -325.38, 567.82] to position; [111.64, 202.81, -21.96] to focal point; [-0.099, 0.714, 0.693] to camera up direction.
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Save the paraview state as "
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Save the visualization image as "
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(Optional, if use python script) Save the python script as "
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Do not save any other files, and always save the visualization image.
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assert:
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- type: llm-rubric
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# Case 7: crayfish_streamline
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- vars:
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question: |
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+
Load the Crayfish flow vector field from "crayfish/data/crayfish.raw", the information about this dataset:
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Crayfish Flow (Vector)
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Data Scalar Type: float
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Data Byte Order: Little Endian
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Data loading is very important, make sure you correctly load the dataset according to their features.
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Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
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- Streamline 1: Seed center at [107.33, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Velocity magnitude using a diverging colormap with the following RGB control points:
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- Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
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- Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
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- Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
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+
- Streamline 2: Seed center at [214.67, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Velocity magnitude using the same colormap.
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Show the dataset bounding box as an outline (black).
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In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
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Use a gray-blue background (RGB: 0.329, 0.349, 0.427). Render at 1280x1280.
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Save the paraview state as "crayfish/results/{agent_mode}/crayfish.pvsm".
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Save the visualization image as "crayfish/results/{agent_mode}/crayfish.png".
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(Optional, if use python script) Save the python script as "crayfish/results/{agent_mode}/crayfish.py".
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Do not save any other files, and always save the visualization image.
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assert:
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- type: llm-rubric
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paraview/crayfish_streamline/task_description.txt
CHANGED
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@@ -1,4 +1,4 @@
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Load the Crayfish flow vector field from "
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Crayfish Flow (Vector)
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Data Scalar Type: float
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Data Byte Order: Little Endian
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@@ -7,21 +7,19 @@ Number of Scalar Components: 3
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Data loading is very important, make sure you correctly load the dataset according to their features.
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Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
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-
- Streamline 1: Seed center at [107.33, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by
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- Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
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- Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
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- Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
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-
- Streamline 2: Seed center at [214.67, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by
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Show the dataset bounding box as an outline (black).
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In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
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Use a
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-
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-
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Save the
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-
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(Optional, if use python script) Save the python script as "crayfish_streamline/results/{agent_mode}/crayfish_streamline.py".
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Do not save any other files, and always save the visualization image.
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+
Load the Crayfish flow vector field from "crayfish/data/crayfish.raw", the information about this dataset:
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Crayfish Flow (Vector)
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Data Scalar Type: float
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Data Byte Order: Little Endian
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Data loading is very important, make sure you correctly load the dataset according to their features.
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Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
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+
- Streamline 1: Seed center at [107.33, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Velocity magnitude using a diverging colormap with the following RGB control points:
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- Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
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- Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
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- Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
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+
- Streamline 2: Seed center at [214.67, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Velocity magnitude using the same colormap.
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Show the dataset bounding box as an outline (black).
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In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
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+
Use a gray-blue background (RGB: 0.329, 0.349, 0.427). Render at 1280x1280.
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Save the paraview state as "crayfish/results/{agent_mode}/crayfish.pvsm".
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+
Save the visualization image as "crayfish/results/{agent_mode}/crayfish.png".
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+
(Optional, if use python script) Save the python script as "crayfish/results/{agent_mode}/crayfish.py".
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Do not save any other files, and always save the visualization image.
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