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-rw-r--r--reproduce/config/pipeline/dependency-numpy-scipy.cfg20
1 files changed, 6 insertions, 14 deletions
diff --git a/reproduce/config/pipeline/dependency-numpy-scipy.cfg b/reproduce/config/pipeline/dependency-numpy-scipy.cfg
index 55e93bc..0eecf3a 100644
--- a/reproduce/config/pipeline/dependency-numpy-scipy.cfg
+++ b/reproduce/config/pipeline/dependency-numpy-scipy.cfg
@@ -16,17 +16,6 @@
library_dirs = @LIBDIR@
include_dirs = @INCDIR@
-# Atlas
-# -----
-# Atlas is an open source optimized implementation of the BLAS and Lapack
-# routines. NumPy will try to build against Atlas by default when available in
-# the system library dirs. To build numpy against a custom installation of
-# Atlas you can add an explicit section such as the following. Here we assume
-# that Atlas was configured with ``prefix=/opt/atlas``.
-#
- [atlas]
- library_dirs = @LIBDIR@
- include_dirs = @INCDIR@
# FFT libraries
# -------------
@@ -38,10 +27,13 @@
#
# Given only this section, numpy.distutils will try to figure out which version
# of FFTW you are using.
-#[fftw]
-#libraries = fftw3
+
+# Even with this section, Numpy apparently does not use fftw. But we will
+# keep it here for the future (if a solution is found).
+[fftw]
+libraries = fftw3
#
-# For djbfft, numpy.distutils will look for either djbfft.a or libdjbfft.a .
+# For djbfft, numpy.distutils will look for either djbfft.a or libdjbfft.a .
#[djbfft]
#include_dirs = /usr/local/djbfft/include
#library_dirs = /usr/local/djbfft/lib