KuangshiAi commited on
Commit
bab09a2
·
1 Parent(s): d1b209f

modify crayfish case

Browse files
eval_cases/paraview/paraview_cases.yaml CHANGED
@@ -232,7 +232,7 @@
232
  # Case 7: crayfish_streamline
233
  - vars:
234
  question: |
235
- Load the Crayfish flow vector field from "crayfish_streamline/data/crayfish_streamline_322x162x119_float32_scalar3.raw", the information about this dataset:
236
  Crayfish Flow (Vector)
237
  Data Scalar Type: float
238
  Data Byte Order: Little Endian
@@ -241,23 +241,21 @@
241
  Data loading is very important, make sure you correctly load the dataset according to their features.
242
 
243
  Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
244
- - Streamline 1: Seed center at [107.33, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Vorticity magnitude using a diverging colormap with the following RGB control points:
245
  - Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
246
  - Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
247
  - Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
248
- - Streamline 2: Seed center at [214.67, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Vorticity magnitude using the same colormap.
249
 
250
  Show the dataset bounding box as an outline (black).
251
 
252
  In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
253
 
254
- Use a white background. Render at 1280x1280.
255
-
256
- 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.
257
 
258
- Save the paraview state as "crayfish_streamline/results/{agent_mode}/crayfish_streamline.pvsm".
259
- Save the visualization image as "crayfish_streamline/results/{agent_mode}/crayfish_streamline.png".
260
- (Optional, if use python script) Save the python script as "crayfish_streamline/results/{agent_mode}/crayfish_streamline.py".
261
  Do not save any other files, and always save the visualization image.
262
  assert:
263
  - type: llm-rubric
 
232
  # Case 7: crayfish_streamline
233
  - vars:
234
  question: |
235
+ Load the Crayfish flow vector field from "crayfish/data/crayfish.raw", the information about this dataset:
236
  Crayfish Flow (Vector)
237
  Data Scalar Type: float
238
  Data Byte Order: Little Endian
 
241
  Data loading is very important, make sure you correctly load the dataset according to their features.
242
 
243
  Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
244
+ - 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:
245
  - Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
246
  - Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
247
  - Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
248
+ - 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.
249
 
250
  Show the dataset bounding box as an outline (black).
251
 
252
  In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
253
 
254
+ Use a gray-blue background (RGB: 0.329, 0.349, 0.427). Render at 1280x1280.
 
 
255
 
256
+ Save the paraview state as "crayfish/results/{agent_mode}/crayfish.pvsm".
257
+ Save the visualization image as "crayfish/results/{agent_mode}/crayfish.png".
258
+ (Optional, if use python script) Save the python script as "crayfish/results/{agent_mode}/crayfish.py".
259
  Do not save any other files, and always save the visualization image.
260
  assert:
261
  - type: llm-rubric
paraview/crayfish_streamline/task_description.txt CHANGED
@@ -1,4 +1,4 @@
1
- Load the Crayfish flow vector field from "crayfish_streamline/data/crayfish_streamline_322x162x119_float32_scalar3.raw", the information about this dataset:
2
  Crayfish Flow (Vector)
3
  Data Scalar Type: float
4
  Data Byte Order: Little Endian
@@ -7,21 +7,19 @@ Number of Scalar Components: 3
7
  Data loading is very important, make sure you correctly load the dataset according to their features.
8
 
9
  Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
10
- - Streamline 1: Seed center at [107.33, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Vorticity magnitude using a diverging colormap with the following RGB control points:
11
  - Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
12
  - Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
13
  - Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
14
- - Streamline 2: Seed center at [214.67, 81.0, 59.5]. Apply a "Tube" filter (radius 0.5, 12 sides). Color by Vorticity magnitude using the same colormap.
15
 
16
  Show the dataset bounding box as an outline (black).
17
 
18
  In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
19
 
20
- Use a white background. Render at 1280x1280.
21
 
22
- 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.
23
-
24
- Save the paraview state as "crayfish_streamline/results/{agent_mode}/crayfish_streamline.pvsm".
25
- Save the visualization image as "crayfish_streamline/results/{agent_mode}/crayfish_streamline.png".
26
- (Optional, if use python script) Save the python script as "crayfish_streamline/results/{agent_mode}/crayfish_streamline.py".
27
- Do not save any other files, and always save the visualization image.
 
1
+ Load the Crayfish flow vector field from "crayfish/data/crayfish.raw", the information about this dataset:
2
  Crayfish Flow (Vector)
3
  Data Scalar Type: float
4
  Data Byte Order: Little Endian
 
7
  Data loading is very important, make sure you correctly load the dataset according to their features.
8
 
9
  Create two streamline sets using "Stream Tracer" filters with "Point Cloud" seed type, each with 100 seed points and radius 32.2:
10
+ - 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:
11
  - Value 0.0 -> RGB(0.231, 0.298, 0.753) (blue)
12
  - Value 0.02 -> RGB(0.865, 0.865, 0.865) (white)
13
  - Value 0.15 -> RGB(0.706, 0.016, 0.149) (red)
14
+ - 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.
15
 
16
  Show the dataset bounding box as an outline (black).
17
 
18
  In the pipeline browser panel, hide all stream tracers and only show the tube filters and the outline.
19
 
20
+ Use a gray-blue background (RGB: 0.329, 0.349, 0.427). Render at 1280x1280.
21
 
22
+ Save the paraview state as "crayfish/results/{agent_mode}/crayfish.pvsm".
23
+ Save the visualization image as "crayfish/results/{agent_mode}/crayfish.png".
24
+ (Optional, if use python script) Save the python script as "crayfish/results/{agent_mode}/crayfish.py".
25
+ Do not save any other files, and always save the visualization image.