blob: 5db2ffe20ea8d9247f4a8010b7baffe7741af9c7 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
|
# Copyright 1999-2023 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_EXT=1
PYTHON_COMPAT=( python3_{9..11} pypy3 )
PYTHON_REQ_USE="threads(+)"
FORTRAN_NEEDED=lapack
inherit distutils-r1 flag-o-matic fortran-2 multiprocessing pypi
inherit toolchain-funcs
DOC_PV=${PV}
DESCRIPTION="Fast array and numerical python library"
HOMEPAGE="
https://numpy.org/
https://github.com/numpy/numpy/
https://pypi.org/project/numpy/
"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~alpha ~amd64 ~arm ~arm64 ~hppa ~ia64 ~loong ~m68k ~mips ~ppc ~ppc64 ~riscv ~s390 ~sparc ~x86 ~amd64-linux ~x86-linux ~arm64-macos ~ppc-macos ~x64-macos ~x64-solaris"
CPU_FLAGS_X86=( avx avx2 avx512dq avx512f avx512vl f16c fma4 popcnt sse sse2 sse3 sse4_1 sse4_2 ssse3 xop )
IUSE="lapack $(printf "cpu_flags_x86_%s\n" ${CPU_FLAGS_X86[@]})"
RDEPEND="
lapack? (
>=virtual/cblas-3.8
>=virtual/lapack-3.8
)
"
BDEPEND="
${RDEPEND}
<dev-python/cython-3[${PYTHON_USEDEP}]
>=dev-python/cython-0.29.30[${PYTHON_USEDEP}]
lapack? (
virtual/pkgconfig
)
test? (
$(python_gen_cond_dep '
>=dev-python/cffi-1.14.0[${PYTHON_USEDEP}]
' 'python*')
dev-python/charset-normalizer[${PYTHON_USEDEP}]
>=dev-python/hypothesis-5.8.0[${PYTHON_USEDEP}]
dev-python/pytest-xdist[${PYTHON_USEDEP}]
>=dev-python/pytz-2019.3[${PYTHON_USEDEP}]
)
"
PATCHES=(
"${FILESDIR}"/numpy-1.22.0-no-hardcode-blasv2.patch
"${FILESDIR}"/numpy-1.24.3-fix-c++-linkage.patch
)
distutils_enable_tests pytest
python_prepare_all() {
# Allow use with setuptools 60.x
# See numpy-1.22.1-revert-setuptools-upper-bound.patch for details
export SETUPTOOLS_USE_DISTUTILS=stdlib
if use lapack; then
local incdir="${EPREFIX}"/usr/include
local libdir="${EPREFIX}"/usr/$(get_libdir)
cat >> site.cfg <<-EOF || die
[blas]
include_dirs = ${incdir}
library_dirs = ${libdir}
blas_libs = cblas,blas
[lapack]
library_dirs = ${libdir}
lapack_libs = lapack
EOF
else
export {ATLAS,PTATLAS,BLAS,LAPACK,MKL}=None
fi
export CC="$(tc-getCC) ${CFLAGS}"
append-flags -fno-strict-aliasing
# See progress in http://projects.scipy.org/scipy/numpy/ticket/573
# with the subtle difference that we don't want to break Darwin where
# -shared is not a valid linker argument
if [[ ${CHOST} != *-darwin* ]]; then
append-ldflags -shared
fi
# only one fortran to link with:
# linking with cblas and lapack library will force
# autodetecting and linking to all available fortran compilers
append-fflags -fPIC
if use lapack; then
NUMPY_FCONFIG="config_fc --noopt --noarch"
# workaround bug 335908
[[ $(tc-getFC) == *gfortran* ]] && NUMPY_FCONFIG+=" --fcompiler=gnu95"
fi
# don't version f2py, we will handle it.
sed -i -e '/f2py_exe/s: + os\.path.*$::' numpy/f2py/setup.py || die
# The following has no effect on architectures other than x86 and amd64.
local flag enabled_flags=()
for flag in "${CPU_FLAGS_X86[@]}"; do
use cpu_flags_x86_${flag} && enabled_flags+=( ${flag/_/.} )
done
gawk -i inplace -v "enabled_flags=${enabled_flags[*]}" \
-f "${FILESDIR}"/replace_cpuflags.awk \
numpy/distutils/ccompiler_opt.py || die
rm -f numpy/distutils/tests/test_ccompiler_opt.py || die
distutils-r1_python_prepare_all
}
python_compile() {
local -x MAKEOPTS=-j1 #660754
distutils-r1_python_compile ${NUMPY_FCONFIG}
}
python_test() {
local EPYTEST_DESELECT=(
# very disk- and memory-hungry
numpy/lib/tests/test_histograms.py::TestHistogram::test_big_arrays
numpy/lib/tests/test_io.py::test_large_zip
# precision problems
numpy/core/tests/test_umath_accuracy.py::TestAccuracy::test_validate_transcendentals
# runs the whole test suite recursively, that's just crazy
numpy/core/tests/test_mem_policy.py::test_new_policy
# very slow, unlikely to be practically useful
numpy/typing/tests/test_typing.py
)
if use arm && [[ $(uname -m || echo "unknown") == "armv8l" ]] ; then
# Degenerate case. arm32 chroot on arm64.
# bug #774108
EPYTEST_DESELECT+=(
numpy/core/tests/test_cpu_features.py::Test_ARM_Features::test_features
)
fi
if use x86 ; then
EPYTEST_DESELECT+=(
# https://github.com/numpy/numpy/issues/18388
numpy/core/tests/test_umath.py::TestRemainder::test_float_remainder_overflow
# https://github.com/numpy/numpy/issues/18387
numpy/random/tests/test_generator_mt19937.py::TestRandomDist::test_pareto
# more precision problems
numpy/core/tests/test_einsum.py::TestEinsum::test_einsum_sums_int16
)
fi
case "${ABI}" in
alpha|arm|hppa|m68k|o32|ppc|s390|sh|sparc|x86)
EPYTEST_DESELECT+=(
# too large for 32-bit platforms
numpy/core/tests/test_ufunc.py::TestUfunc::test_identityless_reduction_huge_array
)
;;
*)
;;
esac
distutils_install_for_testing --single-version-externally-managed \
--record "${TMPDIR}/record.txt" ${NUMPY_FCONFIG}
cd "${TEST_DIR}/lib" || die
epytest -k "not _fuzz" -n "$(makeopts_jobs)"
}
python_install() {
# https://github.com/numpy/numpy/issues/16005
local mydistutilsargs=( build_src )
distutils-r1_python_install ${NUMPY_FCONFIG}
python_optimize
}
python_install_all() {
local DOCS=( LICENSE.txt README.md THANKS.txt )
distutils-r1_python_install_all
}
|
GitWeb