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[ENH/TEST] Add support for Greenstone model generation and corresponding test #1048

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@Leguark Leguark commented Aug 5, 2025

Description

Please include a summary of the changes.

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Checklist

  • My code uses type hinting for function and method arguments and return values.
  • I have created tests which cover my code.
  • The test code either 1. demonstrates at least one valuable use case (e.g. integration tests)
    or 2. verifies that outputs are as expected for given inputs (e.g. unit tests).
  • New tests pass locally with my changes.

Leguark added 6 commits July 24, 2025 17:55
…ing test

Integrated a new `Greenstone` example model into the `generate_example_model` API. Added its binary file and implemented a test for its functionality.
Switched the `use_gpu` configuration to `True` in the CG solver test, ensuring the test runs with GPU acceleration. Removed unused imports for cleanup.
Introduced a `clear_cache` method in the `WeightCache` class for better memory management. Enhanced the numerical stability of the conjugate gradient solver with improved initialization and adaptive tolerances. Refactored interpolation logic to handle weights more efficiently, and adjusted benchmarking to test expanded solver configurations.
Extended CG solver tests to include configurations using both the PYTORCH and PYKEOPS backends. Configured tests with varying `use_gpu` and `dtype` options, introduced a new Greenstone model test, and added 3D plotting support in the test suite.
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Leguark commented Aug 5, 2025

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