diff options
| author | Marius Bakke <mbakke@fastmail.com> | 2019-10-30 14:27:57 +0100 |
|---|---|---|
| committer | Marius Bakke <mbakke@fastmail.com> | 2019-10-30 14:32:17 +0100 |
| commit | adb396eae3524d9b82294aaf5cc87a615515b04d (patch) | |
| tree | ff60d7d3b62f37a23ca11ae46ca8d5e4c24f41df /gnu/packages | |
| parent | 8cdfaef1185fa5dc5dbd21cc3592e77283b08752 (diff) | |
| download | patches-adb396eae3524d9b82294aaf5cc87a615515b04d.tar patches-adb396eae3524d9b82294aaf5cc87a615515b04d.tar.gz | |
gnu: python2-numpy: Downgrade to 1.16.5.
Fixes <https://bugs.gnu.org/37989>.
Reported by Josh Holland <josh@inv.alid.pw>.
This is a follow-up to commit 8e5fbd5dda93e137ff527cabe25989b28ab9e1c0.
* gnu/packages/python-xyz.scm (python-numpy)[properties]: New field.
(python2-numpy): Downgrade to 1.16.5.
Diffstat (limited to 'gnu/packages')
| -rw-r--r-- | gnu/packages/python-xyz.scm | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/gnu/packages/python-xyz.scm b/gnu/packages/python-xyz.scm index 6392032d6e..061d9b9822 100644 --- a/gnu/packages/python-xyz.scm +++ b/gnu/packages/python-xyz.scm @@ -3524,10 +3524,24 @@ 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.") + (properties `((python2-variant . ,(delay python2-numpy)))) (license license:bsd-3))) +;; Numpy 1.16.x are the last versions that support Python 2. (define-public python2-numpy - (package-with-python2 python-numpy)) + (let ((numpy (package-with-python2 + (strip-python2-variant python-numpy)))) + (package/inherit + numpy + (version "1.16.5") + (source (origin + (method url-fetch) + (uri (string-append + "https://github.com/numpy/numpy/releases/download/v" + version "/numpy-" version ".tar.gz")) + (sha256 + (base32 + "0lg1cycxzi4rvvrd5zxinpdz0ni792fpx6xjd75z1923zcac8qrb"))))))) ;; NOTE: NumPy 1.8 is packaged only for Python 2 because it is of ;; interest only for legacy code going back to NumPy's predecessor |