title: Cannot find BLAS on a machine with MKL when installing scipy
body: <p>I installed Intel MKL and other libraries for a customized numpy. Here is my <code>~/.numpy-site.cfg</code>:</p>
  
  <pre><code>[DEFAULT]
  library_dirs = /usr/lib:/usr/local/lib
  include_dirs = /usr/include:/usr/local/include
  
  [mkl]
  library_dirs = /opt/intel/mkl/lib/intel64/
  include_dirs = /opt/intel/mkl/include/
  mkl_libs = mkl_rt
  lapack_libs =
  
  [amd]
  amd_libs = amd
  
  [umfpack]
  umfpack_libs = umfpack
  
  [djbfft]
  include_dirs = /usr/local/djbfft/include
  library_dirs = /usr/local/djbfft/lib
  </code></pre>
  
  <p>This configuration file seems OK during the installation of numpy. But when I was installing scipy via <code>pip3 install scipy</code>, it reported that</p>
  
  <pre><code>numpy.distutils.system_info.BlasNotFoundError:
  
      Blas (http://www.netlib.org/blas/) libraries not found.
  
      Directories to search for the libraries can be specified in the
  
      numpy/distutils/site.cfg file (section [blas]) or by setting
  
      the BLAS environment variable.
  </code></pre>
  
  <p>In my mind MKL is an implementation of Blas so just mentioning MKL should be fine. I've tried</p>
  
  <ol>
  <li><code>export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:$LD_LIBRARY_PATH‌​</code></li>
  <li><code>export BLAS=/opt/intel/mkl/lib/intel64</code></li>
  <li>Copy the content in the <code>[mkl]</code> section and paste into the <code>[blas]</code> section in the file <code>~/.numpy-site.cfg</code></li>
  </ol>
  
  <p>But none of these works. So what is going wrong? Does scipy respect <code>~/.numpy-site.cfg</code>? Thank you.</p>