[TEST] Add private test for Terranigma 2025_I #1029
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Leguark
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Graphite Automations"Add gempy label" took an action on this PR • (05/18/25)1 label was added to this PR based on Miguel de la Varga's automation. |
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# Conflicts: # test/test_private/test_terranigma/test_2025_I.py
Added logic to compute and print the number of cells evaluated during octree processing. Also included output for evaluated cell count on the regular grid centers.
Modified the `ve` value to a fixed scale of 1. and enabled `transformed_data` in the 3D plot test for better coverage.
Leguark
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Jun 13, 2025
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| # * The scalar fields can be found for dense and octree grids: | ||
| print(geo_model.solutions.raw_arrays.scalar_field_matrix) |
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Here I leave the code to grab the scalar field
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| # * Here it is the way of rescaling one of the axis. Input transform | ||
| # * is used (by default) to rescale data into a unit cube but it accepts any transformation matrix. | ||
| geo_model.input_transform.scale[2] *= proper_rescale |
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This is the proper way to do what you were trying. In this model seems to work good
| 'show_xlabels': False, | ||
| 'show_ylabels': False, | ||
| }, | ||
| transformed_data=True # * This is interesting, transformed data shows the data as it goes to the interpolation (after applying the transform) |
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This arg helps to see what you are interpolating exactly. I had to patch gempy_viewer so you will need to pull or update gempy_viewer
| toc = time.perf_counter() | ||
| elapsed = toc - tic | ||
| print(f"Evaluate model on regular grid centers: {int(elapsed / 60)} minutes {int(elapsed % 60)} seconds") | ||
| print(f"Number of cells evaluated: {centers.shape[0]}") |
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Added number of cells evaluation
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Description
Added a test for the 2025_I case in the private test suite. The test creates a geological model with multiple structural elements, sets up the model's extent, adds orientations, and computes the model using PyTorch backend. The test also includes visualization code using gempy_viewer to plot the 3D model with specific display settings.