# Buildsheet autogenerated by ravenadm tool -- Do not edit. NAMEBASE= python-numpy VERSION= 1.26.4 KEYWORDS= python VARIANTS= v11 v12 SDESC[v11]= Array computing for Python (3.11) SDESC[v12]= Array computing for Python (3.12) HOMEPAGE= https://numpy.org CONTACT= Python_Automaton[python@ironwolf.systems] DOWNLOAD_GROUPS= main SITES[main]= PYPI/n/numpy DISTFILE[1]= numpy-1.26.4.tar.gz:main DF_INDEX= 1 SPKGS[v11]= single SPKGS[v12]= single OPTIONS_AVAILABLE= PY311 PY312 OPTIONS_STANDARD= none VOPTS[v11]= PY311=ON PY312=OFF VOPTS[v12]= PY311=OFF PY312=ON BUILD_DEPENDS= openblas:dev:standard BUILDRUN_DEPENDS= openblas:primary:standard USES= cpe meson pkgconfig c++:single DISTNAME= numpy-1.26.4 LICENSE= BSD3CLAUSE:single LICENSE_FILE= BSD3CLAUSE:{{WRKSRC}}/LICENSE.txt LICENSE_SCHEME= solo CPE_PRODUCT= numpy CPE_VENDOR= numpy PLIST_SUB= EGGVER=1.26.4 SOEXTENSION={{SOEXTENSION}} VAR_OPSYS[linux]= MAKEFILE_LINE=SOEXTENSION=-x86_64-linux-gnu [PY311].BUILDRUN_DEPENDS_ON= python311:single:standard [PY311].BUILD_DEPENDS_ON= python-Cython:single:v11 python-meson-python:single:v11 python-wheel:single:v11 python-spin:single:v11 python-pip:single:v11 [PY311].PLIST_SUB_ON= SITEPKGS=lib/python3.11/site-packages/numpy VER=3.11 XY=311 ONLY311= [PY312].BUILDRUN_DEPENDS_ON= python312:primary:standard [PY312].BUILD_DEPENDS_ON= python312:dev:standard python-Cython:single:v12 python-meson-python:single:v12 python-wheel:single:v12 python-spin:single:v12 python-pip:single:v12 [PY312].PLIST_SUB_ON= SITEPKGS=lib/python3.12/site-packages/numpy VER=3.12 XY=312 ONLY311="@comment " do-build: (cd ${WRKSRC} && pip install . --no-build-isolation ) do-configure: # do nothing so meson.mk doesn't do anything do-install: whl=$$(find /root/.cache/pip/wheels -name "*.whl");\ pip install \ --verbose \ --no-index \ --no-compile \ --force-reinstall \ --progress-bar off \ --root=${STAGEDIR} \ --root-user-action=ignore \ --disable-pip-version-check \ --no-deps $$whl ${FIND} ${STAGEDIR}${PREFIX}/lib -name "*.so" | xargs ${STRIP_CMD} [FILE:2903:descriptions/desc.single]

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[Powered by NumFOCUS] [PyPI Downloads] [Conda Downloads] [Stack Overflow] [Nature Paper] [OpenSSF Scorecard] NumPy is the fundamental package for scientific computing with Python. - **Website:** https://www.numpy.org - **Documentation:** https://numpy.org/doc - **Mailing list:** https://mail.python.org/mailman/listinfo/numpy-discussion - **Source code:** https://github.com/numpy/numpy - **Contributing:** https://www.numpy.org/devdocs/dev/index.html - **Bug reports:** https://github.com/numpy/numpy/issues - **Report a security vulnerability:** https://tidelift.com/docs/security It provides: - a powerful N-dimensional array object - sophisticated (broadcasting) functions - tools for integrating C/C++ and Fortran code - useful linear algebra, Fourier transform, and random number capabilities Testing: NumPy requires `pytest` and `hypothesis`. Tests can then be run after installation with: python -c "import numpy, sys; sys.exit(numpy.test() is False)" Code of Conduct ---------------------- NumPy is a community-driven open source project developed by a diverse group of [contributors]. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the [NumPy Code of Conduct] for guidance on how to interact with others in a way that makes our community thrive. Call for Contributions ---------------------- The NumPy project welcomes your expertise and enthusiasm! Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through the [mailing list] first. Writing code isn’t the only way to contribute to NumPy. You can also: - review pull requests - help us stay on top of new and old issues - develop tutorials, presentations, and other educational materials - maintain and improve [our website] - develop graphic design for our brand assets and promotional materials - translate website content - help with outreach and onboard new contributors - write grant proposals and help with other fundraising efforts For more information about the ways you can contribute to NumPy, visit [our website]. If you’re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by opening a new issue or leaving a comment on a relevant issue that is already open. Our preferred channels of communication are all public, but if you’d like to speak to us in private first, contact our community coordinators at numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for an invitation). We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join. If you are new to contributing to open source, [this guide] helps explain why, what, and how to successfully get involved. 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ufunclike.py ufuncs.py warnings_and_errors.py %%SITEPKGS%%/typing/tests/data/reveal/ arithmetic.pyi array_constructors.pyi arraypad.pyi arrayprint.pyi arraysetops.pyi arrayterator.pyi bitwise_ops.pyi char.pyi chararray.pyi comparisons.pyi constants.pyi ctypeslib.pyi datasource.pyi dtype.pyi einsumfunc.pyi emath.pyi false_positives.pyi fft.pyi flatiter.pyi fromnumeric.pyi getlimits.pyi histograms.pyi index_tricks.pyi lib_function_base.pyi lib_polynomial.pyi lib_utils.pyi lib_version.pyi linalg.pyi matrix.pyi memmap.pyi mod.pyi modules.pyi multiarray.pyi nbit_base_example.pyi ndarray_conversion.pyi ndarray_misc.pyi ndarray_shape_manipulation.pyi nditer.pyi nested_sequence.pyi npyio.pyi numeric.pyi numerictypes.pyi random.pyi rec.pyi scalars.pyi shape_base.pyi stride_tricks.pyi testing.pyi twodim_base.pyi type_check.pyi ufunc_config.pyi ufunclike.pyi ufuncs.pyi warnings_and_errors.pyi bin/f2py [FILE:1275:patches/patch-numpy_core_include_numpy_npy__math.h] --- numpy/core/include/numpy/npy_math.h.orig 1970-01-01 00:00:00 UTC +++ numpy/core/include/numpy/npy_math.h @@ -285,7 +285,11 @@ NPY_INPLACE npy_longdouble npy_tanl(npy_ NPY_INPLACE npy_longdouble npy_expl(npy_longdouble x); NPY_INPLACE npy_longdouble npy_sqrtl(npy_longdouble x); NPY_INPLACE npy_longdouble npy_hypotl(npy_longdouble x, npy_longdouble y); +#if defined(__NetBSD__) +#define npy_log2l __builtin_log2l +#else NPY_INPLACE npy_longdouble npy_log2l(npy_longdouble x); +#endif NPY_INPLACE npy_longdouble npy_atan2l(npy_longdouble x, npy_longdouble y); NPY_INPLACE npy_longdouble npy_powl(npy_longdouble x, npy_longdouble y); NPY_INPLACE npy_longdouble npy_modfl(npy_longdouble x, npy_longdouble* y); @@ -303,14 +307,22 @@ NPY_INPLACE npy_longdouble npy_modfl(npy #define npy_cbrtl cbrtl #define npy_log10l log10l #define npy_logl logl +#if defined(__NetBSD__) +#define npy_expm1l expm1 +#else #define npy_expm1l expm1l +#endif #define npy_asinl asinl #define npy_acosl acosl #define npy_atanl atanl #define npy_asinhl asinhl #define npy_acoshl acoshl #define npy_atanhl atanhl +#if defined(__NetBSD__) +#define npy_log1pl log1p +#else #define npy_log1pl log1pl +#endif #define npy_exp2l exp2l #define npy_fmodl fmodl #define npy_frexpl frexpl [FILE:564:patches/patch-numpy_f2py_cfuncs.py] --- numpy/f2py/cfuncs.py.orig 1970-01-01 00:00:00 UTC +++ numpy/f2py/cfuncs.py @@ -547,6 +547,9 @@ cppmacros["F2PY_THREAD_LOCAL_DECL"] = "" #define F2PY_THREAD_LOCAL_DECL __thread #elif defined(__STDC_VERSION__) \\ && (__STDC_VERSION__ >= 201112L) \\ + && !defined(__DragonFly__) \\ + && !defined(__FreeBSD__) \\ + && !defined(__sun__) \\ && !defined(__STDC_NO_THREADS__) \\ && (!defined(__GLIBC__) || __GLIBC__ > 2 || (__GLIBC__ == 2 && __GLIBC_MINOR__ > 12)) \\ && !defined(NPY_OS_OPENBSD) && !defined(NPY_OS_HAIKU)