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author | Federico Beffa <beffa@fbengineering.ch> | 2014-12-16 18:34:37 +0100 |
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committer | Federico Beffa <beffa@fbengineering.ch> | 2014-12-16 18:37:13 +0100 |
commit | 6a843168489faa0873a33990037aaa8844bf0d23 (patch) | |
tree | 51b873cc4616b29a828cf87107da253f20ae50d2 /gnu/packages | |
parent | 81de56479a30651dac542ed392296205c4ea5508 (diff) | |
download | guix-6a843168489faa0873a33990037aaa8844bf0d23.tar guix-6a843168489faa0873a33990037aaa8844bf0d23.tar.gz |
Revert "gnu: python-numpy-bootstrap: Reduce matrix size in failing test."
This reverts commit 31557440c29f8d93b366422bfec4dab341eff79f as it did not
provide the desired effect. The test is still failing.
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/python.scm | 29 |
1 files changed, 11 insertions, 18 deletions
diff --git a/gnu/packages/python.scm b/gnu/packages/python.scm index 183fd54ac8..dc7def5507 100644 --- a/gnu/packages/python.scm +++ b/gnu/packages/python.scm @@ -1928,24 +1928,17 @@ writing C extensions for Python as easy as Python itself.") (string-append (assoc-ref inputs "atlas") "/lib/libsatlas.so")))) (setenv "ATLAS" atlas-lib))) - (alist-cons-before - 'check 'fix-failing-tests - (lambda _ - (substitute* (find-files "numpy/linalg/tests" - "test_regression\\.py") - (("x = np.eye(1000, 66)") - "x = np.eye(10, 66)"))) - ;; 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(verbose=2)")))) - (alist-delete - 'check - %standard-phases)))))) + ;; 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(verbose=2)")))) + (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 |