-summary : array processing for numbers, strings, records, and objects in Python
+summary : Array processing for numbers, strings, records, and objects in Python
description: |
NumPy is an array-processing package for Python designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without the sacrifice of speed. It is built on the Numeric code base.
builddeps :
- cython
- gfortran
- - python-setuptools
- - openblas-devel
+ - pkgconfig(openblas)
+ - python-pytest
setup : |
#Borrowed from Clear Linux
%patch -p1 < $pkgfiles/build.patch
@@ -22,3 +22,6 @@
install : |
%python_install
%python3_install
+check : |
+ %python_test runtests.py --no-build
+ %python3_test runtests.py --no-build
\ No newline at end of file
diff --git a/pspec_x86_64.xml b/pspec_x86_64.xml
--- a/pspec_x86_64.xml
+++ b/pspec_x86_64.xml
@@ -2,34 +2,36 @@
<Source>
<Name>numpy</Name>
<Packager>
- <Name>Alec Scott</Name>
- <Email>alecbcs@gmail.com</Email>
+ <Name>Rabin Adhikari</Name>
+ <Email>rabin.adk1@gmail.com</Email>
</Packager>
<License>BSD-3-Clause</License>
<PartOf>programming.python</PartOf>
- <Summary xml:lang="en">array processing for numbers, strings, records, and objects in Python</Summary>
+ <Summary xml:lang="en">Array processing for numbers, strings, records, and objects in Python</Summary>
<Description xml:lang="en">NumPy is an array-processing package for Python designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without the sacrifice of speed. It is built on the Numeric code base.
- <Summary xml:lang="en">array processing for numbers, strings, records, and objects in Python</Summary>
+ <Summary xml:lang="en">Array processing for numbers, strings, records, and objects in Python</Summary>
<Description xml:lang="en">NumPy is an array-processing package for Python designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without the sacrifice of speed. It is built on the Numeric code base.