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diff --git a/reproduce/config/pipeline/dependency-numpy-scipy.cfg b/reproduce/config/pipeline/dependency-numpy-scipy.cfg
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+# THIS IS A COPY OF NUMPY'S site.cfg.example, CUSTOMIZED FOR THIS PIPELINE
+# ------------------------------------------------------------------------
+
+# This file provides configuration information about non-Python dependencies for
+# numpy.distutils-using packages. Create a file like this called "site.cfg" next
+# to your package's setup.py file and fill in the appropriate sections. Not all
+# packages will use all sections so you should leave out sections that your
+# package does not use.
+
+# IMPORTANT NOTE
+# --------------
+#
+# The `ALL' grouping does't apply to ATLAS!!!!!
+
+ [ALL]
+ 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
+# -------------
+# There are two FFT libraries that we can configure here: FFTW (2 and 3) and djbfft.
+# Note that these libraries are not used by numpy or scipy.
+#
+#   http://fftw.org/
+#   https://cr.yp.to/djbfft.html
+#
+# Given only this section, numpy.distutils will try to figure out which version
+# of FFTW you are using.
+#[fftw]
+#libraries = fftw3
+#
+# 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