Update development status from alpha to beta#1285
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nfarabullini
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I would say that dycore and diffusion can be classified as production stable. I don't have particular feelings about standalone driver, as I feel like it's in between alpha and beta
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I changed driver and standalone_driver back to alpha (driver will anyway be deleted soon: #1281). |
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Mandatory Tests Please make sure you run these tests via comment before you merge!
Optional Tests To run benchmarks you can use:
To run tests and benchmarks with the DaCe backend you can use:
To run test levels ignored by the default test suite (mostly simple datatest for static fields computations) you can use:
For more detailed information please look at CI in the EXCLAIM universe. |
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Merging without CI since this is just metadata changes. |
* main: Update development status from alpha to beta (#1285) Py2fgen: fix fortran types, generate header only on demand (#1275) enforce max 5 positional arguments with ruff (#1270) Tracer advection exchange (#1050) Replace one-argument wheres with nonzero (#1286) DaCe backend: set unstructured_horizontal_has_unit_stride=True (#1130) Remove hardcoded numpy use from `grid_refinement.py` and `metric_fields.py` (#1282) Bump version to v0.2.0rc2 (#1284) Enable inference of minimal domain at compile time in dace backend (#1190) Update to GT4Py 1.1.10 (#1276) Fix precompilation of diffusion granule (#1280) Experiment configs (#1263)
* main: Update development status from alpha to beta (#1285) Py2fgen: fix fortran types, generate header only on demand (#1275) enforce max 5 positional arguments with ruff (#1270) Tracer advection exchange (#1050) Replace one-argument wheres with nonzero (#1286) DaCe backend: set unstructured_horizontal_has_unit_stride=True (#1130) Remove hardcoded numpy use from `grid_refinement.py` and `metric_fields.py` (#1282) Bump version to v0.2.0rc2 (#1284)
I would no longer consider icon4py alpha software. This updates the status to beta for all packages, except the driver and standalone_driver packages which stay at alpha. See https://pypi.org/classifiers/ for available classifiers.