gnu: Add numpy-bootstrap.

* gnu/packages/python.scm (python-numpy-bootstrap, python2-numpy-bootstrap):
  New file-local variables.
This commit is contained in:
Federico Beffa 2014-11-24 20:51:29 +01:00
parent 2d8dc79c1e
commit 0da9853360

View file

@ -35,6 +35,8 @@ (define-module (gnu packages python)
#:use-module (gnu packages readline)
#:use-module (gnu packages openssl)
#:use-module (gnu packages elf)
#:use-module (gnu packages maths)
#:use-module (gnu packages gcc)
#:use-module (gnu packages pkg-config)
#:use-module (gnu packages databases)
#:use-module (gnu packages zip)
@ -1873,3 +1875,60 @@ (define-public python2-cython
(name "python2-cython")
(inputs
`(("python-2" ,python-2))))) ; this is not automatically changed
;; This version of numpy is missing the documentation and is only used to
;; build matplotlib which is required to build numpy's documentation.
(define python-numpy-bootstrap
(package
(name "python-numpy-bootstrap")
(version "1.9.1")
(source
(origin
(method url-fetch)
(uri (string-append "mirror://sourceforge/numpy"
"/numpy-" version ".tar.gz"))
(sha256
(base32
"070ybfvpgfmiz2hs94x445hvkh9dh52nyi0m8jp5kdihgvhbnx80"))))
(build-system python-build-system)
(inputs
`(("python-nose" ,python-nose)
("atlas" ,atlas)))
(native-inputs
`(("gfortran" ,gfortran-4.8)))
(arguments
`(#:phases
(alist-cons-before
'build 'set-environment-variables
(lambda* (#:key inputs #:allow-other-keys)
(let* ((atlas-threaded
(string-append (assoc-ref inputs "atlas")
"/lib/libtatlas.so"))
;; On single core CPUs only the serial library is created.
(atlas-lib
(if (file-exists? atlas-threaded)
atlas-threaded
(string-append (assoc-ref inputs "atlas")
"/lib/libsatlas.so"))))
(setenv "ATLAS" atlas-lib)))
;; Tests can only be run after the library has been installed and not
;; within the source directory.
(alist-cons-after
'install 'check
(lambda _
(with-directory-excursion "/tmp"
(zero? (system* "python" "-c" "import numpy; numpy.test()"))))
(alist-delete
'check
%standard-phases)))))
(home-page "http://www.numpy.org/")
(synopsis "Fundamental package for scientific computing with Python")
(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.")
(license bsd-3)))
(define python2-numpy-bootstrap
(package-with-python2 python-numpy-bootstrap))