first commit: base 2024.08

Signed-off-by: maoxiaochuan <maoxiaochuan@loongson.cn>
This commit is contained in:
tao89959
2025-02-12 17:59:29 +08:00
committed by maoxiaochuan
commit f3217a7708
14356 changed files with 572894 additions and 0 deletions
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config BR2_PACKAGE_PYTHON_NUMPY_ARCH_SUPPORTS
bool
# Numpy has some CPU specific code
default y if BR2_arc
default y if BR2_aarch64
default y if BR2_arm
default y if BR2_armeb
default y if BR2_i386
default y if BR2_mips
default y if BR2_mipsel
default y if BR2_powerpc
default y if BR2_powerpc64
default y if BR2_sh
default y if BR2_x86_64
config BR2_PACKAGE_PYTHON_NUMPY
bool "python-numpy"
depends on BR2_PACKAGE_PYTHON_NUMPY_ARCH_SUPPORTS
depends on BR2_INSTALL_LIBSTDCPP
# python-numpy needs fenv.h which is not provided by uclibc
depends on BR2_TOOLCHAIN_USES_GLIBC || BR2_TOOLCHAIN_USES_MUSL
depends on BR2_TOOLCHAIN_GCC_AT_LEAST_9
help
NumPy is the fundamental package for scientific computing
with Python.
Note that NumPy needs fenv.h fully supported by the
C library.
http://www.numpy.org/
comment "python-numpy needs a glibc or musl toolchain w/ C++, gcc >= 9"
depends on BR2_PACKAGE_PYTHON_NUMPY_ARCH_SUPPORTS
depends on !BR2_INSTALL_LIBSTDCPP || \
!BR2_TOOLCHAIN_GCC_AT_LEAST_9 || \
!(BR2_TOOLCHAIN_USES_GLIBC || BR2_TOOLCHAIN_USES_MUSL)
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# Copied from https://github.com/numpy/numpy/releases/tag/v1.25.0
sha256 f1accae9a28dc3cda46a91de86acf69de0d1b5f4edd44a9b0c3ceb8036dfff19 numpy-1.25.0.tar.gz
# License files, locally calculated
sha256 1034d3bd61783f3b5e7ec3e7ca818f4da4135132323a0ef99f4c0edb3c7f6bd2 LICENSE.txt
sha256 c27d0a8026bdb8876562b720ab24d1688e3827a89f6083cd6e7e8caa9584aba3 numpy/core/src/multiarray/dragon4.c
sha256 fbc539f47d0cf83bc61378080fb873d5c14630126cacbfe754035c3926daa5ec numpy/core/include/numpy/libdivide/LICENSE.txt
sha256 a14cc25e10d40a3aa705b7de2fb764a6535d8ee9b2db4e1724900585457dfd55 numpy/linalg/lapack_lite/LICENSE.txt
sha256 badf51c7e3e7de9c7630bd069780f5c197b846ef7660b342a1e58d5553592d8e tools/npy_tempita/license.txt
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################################################################################
#
# python-numpy
#
################################################################################
PYTHON_NUMPY_VERSION = 1.25.0
PYTHON_NUMPY_SOURCE = numpy-$(PYTHON_NUMPY_VERSION).tar.gz
PYTHON_NUMPY_SITE = https://github.com/numpy/numpy/releases/download/v$(PYTHON_NUMPY_VERSION)
PYTHON_NUMPY_LICENSE = BSD-3-Clause, MIT, Zlib
PYTHON_NUMPY_LICENSE_FILES = \
LICENSE.txt \
numpy/core/src/multiarray/dragon4.c \
numpy/core/include/numpy/libdivide/LICENSE.txt \
numpy/linalg/lapack_lite/LICENSE.txt \
tools/npy_tempita/license.txt
PYTHON_NUMPY_CPE_ID_VENDOR = numpy
PYTHON_NUMPY_CPE_ID_PRODUCT = numpy
PYTHON_NUMPY_DEPENDENCIES = host-python-cython python3
HOST_PYTHON_NUMPY_DEPENDENCIES = host-python-cython
PYTHON_NUMPY_CONF_ENV += \
_PYTHON_SYSCONFIGDATA_NAME=$(PKG_PYTHON_SYSCONFIGDATA_NAME) \
PYTHONPATH=$(PYTHON3_PATH)
ifeq ($(BR2_PACKAGE_LAPACK),y)
PYTHON_NUMPY_DEPENDENCIES += lapack
PYTHON_NUMPY_CONF_OPTS += -Dlapack=lapack
else
PYTHON_NUMPY_CONF_OPTS += -Dlapack=""
endif
ifeq ($(BR2_PACKAGE_OPENBLAS),y)
PYTHON_NUMPY_DEPENDENCIES += openblas
PYTHON_NUMPY_CONF_OPTS += -Dblas=openblas
else
PYTHON_NUMPY_CONF_OPTS += -Dblas=""
endif
# Rather than add a host-blas or host-lapack dependencies, just use unoptimized,
# in-tree code.
HOST_PYTHON_NUMPY_CONF_OPTS = -Dblas="" -Dlapack=""
# Fixup the npymath.ini prefix path with actual target staging area where
# numpy core was built. Without this, target builds using numpy distutils
# extensions like python-scipy, python-numba cannot find -lnpymath since
# it uses host libraries (like libnpymath.a).
# So, the numpy distutils extension packages would explicitly link this
# config path for their package environment.
define PYTHON_NUMPY_FIXUP_NPY_PKG_CONFIG_FILES
$(SED) '/^pkgdir=/d;/^prefix=/i pkgdir=$(PYTHON3_PATH)/site-packages/numpy/core' \
$(PYTHON3_PATH)/site-packages/numpy/core/lib/npy-pkg-config/npymath.ini
endef
PYTHON_NUMPY_POST_INSTALL_STAGING_HOOKS += PYTHON_NUMPY_FIXUP_NPY_PKG_CONFIG_FILES
# Some package may include few headers from NumPy, so let's install it
# in the staging area.
PYTHON_NUMPY_INSTALL_STAGING = YES
$(eval $(meson-package))
$(eval $(host-meson-package))