python-numpy:ver.bump
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blue-devil
@@ -4,31 +4,34 @@
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# Licensed under the GNU General Public License, version 3.
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# See the file http://www.gnu.org/licenses/gpl.txt
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from pisi.actionsapi import pisitools
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from pisi.actionsapi import pythonmodules
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from pisi.actionsapi import shelltools
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from pisi.actionsapi import pisitools
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from pisi.actionsapi import get
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WorkDir = "numpy-%s" % get.srcVERSION()
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NUMPY_FCONFIG = "config_fc --fcompiler=gnu95"
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f2py_docs = "%s/%s/f2py_docs" % (get.docDIR(), get.srcNAME())
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shelltools.export("LDFLAGS", "%s -shared" % get.LDFLAGS())
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shelltools.export("ATLAS", "None")
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shelltools.export("PTATLAS", "None")
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shelltools.export("LDSHARED", "x86_64-pc-linux-gnu-gcc -Wl,-O1,--as-needed -shared -lpthread")
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def build():
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# suppress compiler warnings
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pisitools.cflags.add("-Wno-unused-but-set-variable -Wno-builtin-declaration-mismatch \
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-Wno-unused-value -Wno-unused-variable -Wno-unknown-pragmas \
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-Wno-strict-prototypes -Wno-implicit-int -Wno-return-type \
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-Wno-unused-function")
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pythonmodules.compile(NUMPY_FCONFIG)
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def install():
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# suppress compiler warnings
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pisitools.cflags.add("-Wno-builtin-declaration-mismatch")
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pythonmodules.install(NUMPY_FCONFIG)
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pisitools.rename("/usr/bin/f2py", "f2py2")
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pisitools.rename("/usr/bin/from-template", "from-template2")
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pisitools.rename("/usr/bin/conv-template", "conv-template2")
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pisitools.rename("/usr/bin/f2py", "f2py-py2")
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#pisitools.doman("doc/f2py/f2py.1")
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#pisitools.insinto(f2py_docs, "doc/f2py/*.txt")
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pisitools.dodoc("LICENSE.txt", "THANKS.txt")
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pisitools.dodoc("LICENSE*")
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for dirs in ["doc"]:
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pisitools.insinto("%s/%s" % (get.docDIR(), get.srcNAME()), dirs)
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@@ -1,5 +1,5 @@
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<?xml version="1.0" ?>
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<!DOCTYPE PISI SYSTEM "http://www.pisilinux.org/projeler/pisi/pisi-spec.dtd">
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<!DOCTYPE PISI SYSTEM "https://www.pisilinux.org/projeler/pisi/pisi-spec.dtd">
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<PISI>
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<Source>
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<Name>python-numpy</Name>
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@@ -8,44 +8,63 @@
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<Name>PisiLinux Community</Name>
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<Email>admins@pisilinux.org</Email>
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</Packager>
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<PartOf>programming.language.python</PartOf>
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<License>as-is</License>
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<IsA>library</IsA>
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<Summary>The fundamental package needed for scientific computing with Python</Summary>
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<Description>Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities.</Description>
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<Archive sha1sum="e4917f6848f4065a70788b954332f1eb87b81989" type="targz">https://github.com/numpy/numpy/releases/download/v1.15.0/numpy-1.15.0.tar.gz</Archive>
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<Archive sha1sum="e8c1aae9070d7c6dc0cb72de44eb68fba3b62941" type="targz">https://github.com/numpy/numpy/archive/v1.16.6.tar.gz</Archive>
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<BuildDependencies>
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<Dependency>python-devel</Dependency>
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<Dependency>python-nose</Dependency>
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<Dependency>python-setuptools</Dependency>
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<Dependency>libgfortran</Dependency>
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<Dependency>lapack-devel</Dependency>
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<Dependency>python-devel</Dependency>
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<Dependency>cblas-devel</Dependency>
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<Dependency>libgfortran</Dependency>
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<Dependency>cython</Dependency>
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<Dependency>cblas</Dependency>
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<!--
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<Dependency>python-nose</Dependency>
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-->
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</BuildDependencies>
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<Patches>
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<!--<Patch level="1">numpy-1.0.1-f2py.patch</Patch>
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<Patch level="1">001-fix-test_multiarray.patch</Patch>
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<Patch level="1">002-fix_PyUnicodeObject.patch</Patch>
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<Patch level="1">09d2c51fa1d09b17060a8545b925f4dded9dedb1.patch</Patch>
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<Patch level="1">4234b6b13e3ee9da6fc1c24e9e8c442d77587837.patch</Patch>
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<Patch level="1">f2ac38f09ff258339ef44572a3abba02019e1f55.patch</Patch>-->
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</Patches>
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</Source>
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<Package>
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<Name>python-numpy</Name>
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<Summary>The fundamental package needed for scientific computing with Python</Summary>
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<RuntimeDependencies>
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<Dependency>blas</Dependency>
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<Dependency>lapack</Dependency>
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<Dependency>python</Dependency>
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<Dependency>cblas</Dependency>
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<Dependency>blas</Dependency>
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</RuntimeDependencies>
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<Files>
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<Path fileType="library">/usr/lib</Path>
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<Path fileType="executable">/usr/bin/f2py-py2</Path>
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<Path fileType="executable">/usr/bin/f2py2</Path>
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<Path fileType="executable">/usr/bin/f2py2.7</Path>
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<Path fileType="doc">/usr/share/doc</Path>
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<Path fileType="man">/usr/share/man</Path>
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<Path fileType="executable">/usr/bin</Path>
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<Path fileType="library">/usr/lib</Path>
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</Files>
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</Package>
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<Package>
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<Name>python-numpy-docs</Name>
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<Summary>Documentation files for python-numpy</Summary>
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<RuntimeDependencies>
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<Dependency release="current">python-numpy</Dependency>
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</RuntimeDependencies>
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<Files>
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<Path fileType="doc">/usr/share/doc/python-numpy/doc</Path>
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</Files>
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</Package>
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<History>
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<Update release="6">
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<Date>2020-01-20</Date>
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<Version>1.16.6</Version>
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<Comment>Version bump.</Comment>
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<Name>Blue Devil</Name>
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<Email>bluedevil@sctzine.com</Email>
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</Update>
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<Update release="5">
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<Date>2018-08-14</Date>
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<Version>1.15.0</Version>
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@@ -82,4 +101,4 @@
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<Email>marcin@pisilinux.org</Email>
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</Update>
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</History>
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</PISI>
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</PISI>
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@@ -1,9 +1,15 @@
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<?xml version="1.0" ?>
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<PISI>
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<Source>
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<Name>numpy</Name>
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<Name>python-numpy</Name>
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<Summary xml:lang="tr">Python ile bilimsel hesaplama için ihtiyaç duyulan temel paket</Summary>
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<Description xml:lang="es">Numpy contiene un potente objeto de array N-dimensional, funciones sofisticadas (broadcasting), herramientas para la integración de código C/C++ y Fortran, y facilidades útiles de algebra lineal, transformación Fourier, y número aleatorios.</Description>
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<Description xml:lang="tr">Numpy, N-boyutlu güçlü bir dizi, gelişmiş fonksiyonlar, C/C++ ve Fortran kodunu entegre etmek için araçlar, doğrusal cebir ve rastgele sayı özelliği içerir.</Description>
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</Source>
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</PISI>
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<Package>
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<Name>python-numpy-docs</Name>
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<Summary xml:lang="tr">python-numpy için belgelendirme dosyaları</Summary>
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<Description xml:lang="tr">python-numpy-docs, python-numpy için belgelendirme dosyalarını içerir.</Description>
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</Package>
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</PISI>
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