Drop {{ pin_compatible('numpy', max_pin='x') }} from Conda recipes
#82
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This was referenced Jul 17, 2024
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Submitted PRs to make these changes Initially included building with NumPy 2 (and constraining to NumPy 1 at runtime). However due to NumPy constraints in the wheels, this was not possible So have separated out the Though did leave comments about where NumPy 2 updates need to be made. Should help us catch these when doing the RDFG NumPy 2 migration |
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Part of issue: rapidsai/build-planning#82 Drop `{{ pin_compatible('numpy', max_pin='x') }}` as it is no longer needed. `numpy` has its own `run_exports`, which constraints `numpy` to an API compatible version. More details in issue: https://github.com/orgs/rapidsai/projects/132 So `cudf` now uses that in its recipe builds. Also update `requirements/run` to set the `numpy` lower bound to `1.23` as required by us. Lastly add todo comments for NumPy 2 update lines. Authors: - https://github.com/jakirkham Approvers: - James Lamb (https://github.com/jameslamb) URL: #16301
This was referenced Jul 31, 2024
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Partially addresses issue: rapidsai/build-planning#82 As UCXX no longer needs NumPy during the build, make sure the Conda packages do not use it when building UCXX. Authors: - https://github.com/jakirkham - Mike Sarahan (https://github.com/msarahan) Approvers: - Peter Andreas Entschev (https://github.com/pentschev) - Mike Sarahan (https://github.com/msarahan) URL: #256
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Partially addresses issue: rapidsai/build-planning#82 Even though cuCIM currently `#include`s `<pybind11/numpy.h>`, the actual C++ code appears not to use NumPy. So this attempts to drop the header and the NumPy build dependency. Authors: - https://github.com/jakirkham Approvers: - Mike Sarahan (https://github.com/msarahan) - Gigon Bae (https://github.com/gigony) URL: #751
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To prepare for NumPy 2 (specifically for packages building with NumPy), Conda recipes need to update their
requirementssection to drop{{ pin_compatible('numpy', max_pin='x') }}fromrunThis is needed as packages built with NumPy 2 remain compatible with NumPy 1. Further conda-forge adds
run_exportstonumpy1andnumpy2that constrainnumpyto ABI compatible versions. More info in upstream issue: conda-forge/conda-forge.github.io#2156If we have additional constraints to add to
numpy(like requiringnumpyversion1.23.0or newer), we can layer this constraint on by adding it torequirements/runThe text was updated successfully, but these errors were encountered: