Gyorgy Sarvari b66b1eb9f6 python3-pandas: compile against target version of numpy ... python3-numpy headers are required by pandas to compile successfully. By default, this recipe used python3-numpy-native for compilation, which usually works. However in case the bitness of the build-host differs from the target, then problems arise. For example when compiling for 32-bit ARM on a x86-64 machine, the following error appears when trying to import the module: ValueError: Buffer dtype mismatch, expected 'const int64_t' but got 'long long' When running a diff on all numpy headers across native and target, only one header differs, _numpyconfig.h, in a significant way. This header defines the sizes of different datatypes used by numpy, and these sizes strongly depend on the arch bitness. This change switches from python3-numpy-native dependency to python3-numpy to ensure that the correct headers are used. Beside this also patch the meson script, so it accepts an option (numpy_inc_dir) to specify the location of these headers, since it is not able to query them from the class-target module The PYTHONPATH variable is extended with the target's RECIPE_SYSROOT, because numpy is specified as a dependency in meson, and it needs to find the module to continue successfully. Signed-off-by: Gyorgy Sarvari <skandigraun@gmail.com> Signed-off-by: Khem Raj <raj.khem@gmail.com>		2025-03-10 09:41:56 -07:00
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0001-BLD-add-option-to-specify-numpy-header-location.patch	python3-pandas: compile against target version of numpy	2025-03-10 09:41:56 -07:00
0001-pyproject.toml-don-t-pin-dependency-versions.patch
0001-pyproject.toml-Downgrade-numpy-version-needs-to-1.x.patch