From fc540c2a7eeb72cc17b7c248f28b13b37581229f Mon Sep 17 00:00:00 2001
From: Jiri Tomcala <jiri.tomcala@vsb.cz>
Date: Thu, 20 Apr 2017 19:38:39 +0200
Subject: [PATCH] added numpy-1.12.1-intel-2017a-Python-2.7.11.eb

---
 .../numpy-1.12.1-intel-2017a-Python-2.7.11.eb | 34 +++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100644 n/numpy/numpy-1.12.1-intel-2017a-Python-2.7.11.eb

diff --git a/n/numpy/numpy-1.12.1-intel-2017a-Python-2.7.11.eb b/n/numpy/numpy-1.12.1-intel-2017a-Python-2.7.11.eb
new file mode 100644
index 00000000..283c7247
--- /dev/null
+++ b/n/numpy/numpy-1.12.1-intel-2017a-Python-2.7.11.eb
@@ -0,0 +1,34 @@
+#adapted by PERMON team
+
+name = 'numpy'
+version = '1.12.1'
+versionsuffix = '-Python-%(pyver)s'
+
+homepage = 'http://www.numpy.org'
+description = """NumPy is the fundamental package for scientific computing with Python. It contains among other things:
+ a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran
+ code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses,
+ NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be 
+ defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases."""
+
+toolchain = {'name': 'intel', 'version': '2017a'}
+
+source_urls = [PYPI_SOURCE]
+sources = [SOURCE_ZIP]
+
+patches = ['numpy-1.12.0-mkl.patch']
+
+dependencies = [
+    ('Python', '2.7.11'),
+]
+
+# need to use pip rather than regular 'setup.py install,'
+# to ensure that this numpy wins over the one in the Python installation;
+# using easy_install does not work...
+use_pip = True
+
+# install as zipped egg to get a .pth file in lib/python*/site-packages;
+# this enables shadowing of the numpy that is part of the Python installation
+zipped_egg = True
+
+moduleclass = 'math'