python3-numpy:version bump

programming/language/python3/python3-numpy/actions.py

@@ -4,27 +4,23 @@
 # Licensed under the GNU General Public License, version 3.
 # See the file http://www.gnu.org/licenses/gpl.txt
 
-from pisi.actionsapi import pisitools
 from pisi.actionsapi import pythonmodules
 from pisi.actionsapi import shelltools
+from pisi.actionsapi import pisitools
 from pisi.actionsapi import get
 
 WorkDir = "numpy-%s" % get.srcVERSION()
 
-NUMPY_FCONFIG = "config_fc --fcompiler=gnu95"
-f2py_docs = "%s/%s/f2py_docs" % (get.docDIR(), get.srcNAME())
-
-shelltools.export("LDFLAGS", "%s -shared" % get.LDFLAGS())
 shelltools.export("ATLAS", "None")
 shelltools.export("PTATLAS", "None")
+shelltools.export("LDSHARED", "x86_64-pc-linux-gnu-gcc -Wl,-O1,--as-needed -shared -lpthread")
 
 def build():
-    pythonmodules.compile(NUMPY_FCONFIG, pyVer="3")
+    pythonmodules.compile(pyVer="3")
 
 def install():
-    pythonmodules.install(NUMPY_FCONFIG, pyVer="3")
+    pythonmodules.install(pyVer="3")
-
+    pisitools.dodoc("LICENSE*")
-    #pisitools.doman("doc/f2py/f2py.1")
+    
-
+    for dirs in ["doc"]:
-    #pisitools.insinto(f2py_docs, "doc/f2py/*.txt")
+        pisitools.insinto("%s/%s" % (get.docDIR(), get.srcNAME()), dirs)
-    pisitools.dodoc("LICENSE.txt", "THANKS.txt")

programming/language/python3/python3-numpy/pspec.xml

@@ -1,5 +1,5 @@
 <?xml version="1.0" ?>
-<!DOCTYPE PISI SYSTEM "http://www.pisilinux.org/projeler/pisi/pisi-spec.dtd">
+<!DOCTYPE PISI SYSTEM "https://www.pisilinux.org/projeler/pisi/pisi-spec.dtd">
 <PISI>
     <Source>
         <Name>python3-numpy</Name>
@@ -8,44 +8,57 @@
             <Name>PisiLinux Community</Name>
             <Email>admins@pisilinux.org</Email>
         </Packager>
-        <License>as-is</License>
+        <License>BSD</License>
+        <PartOf>programming.language.python3</PartOf>
         <IsA>library</IsA>
         <Summary>The fundamental package needed for scientific computing with Python</Summary>
         <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>
-        <Archive sha1sum="e4917f6848f4065a70788b954332f1eb87b81989" type="targz">https://github.com/numpy/numpy/releases/download/v1.15.0/numpy-1.15.0.tar.gz</Archive>
+        <Archive sha1sum="e5039bd773c5aa0eb964f6dbb00c9e654a89e294" type="targz">https://github.com/numpy/numpy/archive/v1.18.1.tar.gz</Archive>
         <BuildDependencies>
-            <Dependency>python3-devel</Dependency>
-            <Dependency>python3-nose</Dependency>
             <Dependency>python3-setuptools</Dependency>
-            <Dependency>libgfortran</Dependency>
+            <Dependency>python3-devel</Dependency>
             <Dependency>lapack-devel</Dependency>
+            <Dependency>python3-nose</Dependency>
+            <Dependency>cblas-devel</Dependency>
+            <Dependency>cython3</Dependency>
         </BuildDependencies>
-        <Patches>
-            <!--<Patch level="1">numpy-1.0.1-f2py.patch</Patch>
-            <Patch level="1">001-fix-test_multiarray.patch</Patch>
-            <Patch level="1">002-fix_PyUnicodeObject.patch</Patch>
-            <Patch level="1">09d2c51fa1d09b17060a8545b925f4dded9dedb1.patch</Patch>
-            <Patch level="1">4234b6b13e3ee9da6fc1c24e9e8c442d77587837.patch</Patch>
-            <Patch level="1">f2ac38f09ff258339ef44572a3abba02019e1f55.patch</Patch>-->
-            </Patches>
     </Source>
 
     <Package>
         <Name>python3-numpy</Name>
+        <Summary>The fundamental package needed for scientific computing with Python</Summary>
         <RuntimeDependencies>
-            <Dependency>blas</Dependency>
-            <Dependency>lapack</Dependency>
             <Dependency>python3</Dependency>
+            <Dependency>lapack</Dependency>
+            <Dependency>blas</Dependency>
         </RuntimeDependencies>
         <Files>
             <Path fileType="library">/usr/lib</Path>
             <Path fileType="doc">/usr/share/doc</Path>
-            <Path fileType="man">/usr/share/man</Path>
             <Path fileType="executable">/usr/bin</Path>
+            <Path fileType="doc">/usr/share/doc/python3-numpy/LICENSE*</Path>
+        </Files>
+    </Package>
+    
+    <Package>
+        <Name>python3-numpy-docs</Name>
+        <Summary>Documentation files for python3-numpy</Summary>
+        <RuntimeDependencies>
+            <Dependency release="current">python3-numpy</Dependency>
+        </RuntimeDependencies>
+        <Files>
+            <Path fileType="doc">/usr/share/doc/python3-numpy/doc</Path>
         </Files>
     </Package>
 
     <History>
+        <Update release="6">
+            <Date>2020-01-11</Date>
+            <Version>1.18.1</Version>
+            <Comment>Version bump</Comment>
+            <Name>Blue Devil</Name>
+            <Email>bluedevil@sctzine.com</Email>
+        </Update>
         <Update release="5">
             <Date>2018-08-14</Date>
             <Version>1.15.0</Version>

programming/language/python3/python3-numpy/translations.xml

@@ -1,9 +1,15 @@
 <?xml version="1.0" ?>
 <PISI>
     <Source>
-        <Name>numpy</Name>
+        <Name>python3-numpy</Name>
         <Summary xml:lang="tr">Python ile bilimsel hesaplama için ihtiyaç duyulan temel paket</Summary>
         <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>
         <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>
     </Source>
+
+    <Package>
+        <Name>python3-numpy-docs</Name>
+        <Summary xml:lang="tr">python3-numpy için belgelendirme dosyaları</Summary>
+        <Description xml:lang="tr">python3-numpy-docs, python3-numpy için belgelendirme dosyalarını içerir.</Description>
+    </Package>
 </PISI>