title: The environment is inconsistent, please check the package plan carefully - cvxopt
body: <p>I have tried to install cvxopt for macOS Sierra 10.12.6 .</p>
  
  <p>Than I have tried to solve this problem by all the tips of <a href="https://stackoverflow.com/questions/55527354/the-environment-is-inconsistent-please-check-the-package-plan-carefully">The environment is inconsistent, please check the package plan carefully</a> but non of them worked and gave similar error messages like the one bellow.</p>
  
  <p>I have tried:</p>
  
  <ul>
  <li><code>conda clean --all</code>   [and then]  <code>conda update --all</code></li>
  <li><code>conda update --all</code> [only]</li>
  <li><code>conda install</code></li>
  <li><code>conda install anaconda</code></li>
  <li>one by one installing the problematic packages</li>
  </ul>
  
  <p>Main ERROR message after <code>conda install -c anaconda cvxopt</code></p>
  
  <pre><code>MyMachine:~ me$ conda install -c anaconda cvxopt 
  Collecting package metadata (current_repodata.json): done
  Solving environment: - 
  The environment is inconsistent, please check the package plan carefully
  The following packages are causing the inconsistency:
  
    - omnia/osx-64::autograd==1.1.2=np112py36_0
  failed
  Collecting package metadata (repodata.json): done
  Solving environment: - 
  The environment is inconsistent, please check the package plan carefully
  The following packages are causing the inconsistency:
  
    - omnia/osx-64::autograd==1.1.2=np112py36_0
  failed
  
  UnsatisfiableError: The following specifications were found to be incompatible with each other:
  
    - anaconda/osx-64::pandas==0.24.2=py36h0a44026_0 -&gt; numpy[version='&gt;=1.12.1,&lt;2.0a0']
    - anaconda/osx-64::quandl==3.4.5=py36_0 -&gt; numpy[version='&gt;=1.8']
    - autograd -&gt; numpy=1.12
    - conda-forge/noarch::torchfile==0.1.0=py_0 -&gt; numpy
    - conda-forge/noarch::visdom==0.1.8.5=0 -&gt; numpy
    - pkgs/free/osx-64::blaze==0.10.1=py36_0 -&gt; dask -&gt; bokeh[version='&gt;=1.0.0'] -&gt; numpy[version='&gt;=1.7.1']
    - pkgs/free/osx-64::blaze==0.10.1=py36_0 -&gt; pytables[version='&gt;=3.0.0'] -&gt; numexpr
    - pkgs/free/osx-64::datashape==0.5.4=py36_0 -&gt; numpy[version='&gt;=1.7']
    - pkgs/free/osx-64::odo==0.5.0=py36_1 -&gt; datashape[version='&gt;=0.5'] -&gt; numpy[version='&gt;=1.7']
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; bokeh==1.0.4=py36_0 -&gt; numpy[version='&gt;=1.7.1']
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; cython==0.29.6=py36h0a44026_0
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; gevent==1.4.0=py36h1de35cc_0
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; importlib_metadata==0.8=py36_0
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; mkl-service==1.1.2=py36hfbe908c_5
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; numexpr==2.6.9=py36h7413580_0
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; ply==3.11=py36_0
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; scikit-learn==0.20.3=py36h27c97d8_0
    - pkgs/main/osx-64::anaconda==2019.03=py36_0 -&gt; zipp==0.3.3=py36_1
    - pkgs/main/osx-64::astropy==3.1.2=py36h1de35cc_0 -&gt; numpy[version='&gt;=1.13.3,&lt;2.0a0']
    - pkgs/main/osx-64::bkcharts==0.2=py36h073222e_0 -&gt; numpy[version='&gt;=1.7.1']
    - pkgs/main/osx-64::bokeh==1.0.4=py36_0 -&gt; numpy[version='&gt;=1.7.1']
    - pkgs/main/osx-64::bottleneck==1.2.1=py36h1d22016_1 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::cython==0.29.6=py36h0a44026_0
    - pkgs/main/osx-64::dask==1.1.4=py36_1 -&gt; bokeh[version='&gt;=0.13.0'] -&gt; numpy[version='&gt;=1.7.1']
    - pkgs/main/osx-64::gevent==1.4.0=py36h1de35cc_0
    - pkgs/main/osx-64::h5py==2.9.0=py36h3134771_0 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::imageio==2.5.0=py36_0 -&gt; numpy
    - pkgs/main/osx-64::importlib_metadata==0.8=py36_0 -&gt; zipp[version='&gt;=0.3.2']
    - pkgs/main/osx-64::matplotlib==3.0.3=py36h54f8f79_0 -&gt; numpy
    - pkgs/main/osx-64::mkl-service==1.1.2=py36hfbe908c_5
    - pkgs/main/osx-64::mkl_fft==1.0.10=py36h5e564d8_0 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::numba==0.43.1=py36h6440ff4_0 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::numexpr==2.6.9=py36h7413580_0 -&gt; numpy[version='&gt;=1.15.4,&lt;2.0a0']
    - pkgs/main/osx-64::numpy-base==1.16.2=py36h6575580_0 -&gt; numpy==1.16.2=py36hacdab7b_0
    - pkgs/main/osx-64::numpy==1.16.2=py36hacdab7b_0
    - pkgs/main/osx-64::path.py==11.5.0=py36_0 -&gt; importlib_metadata[version='&gt;=0.5']
    - pkgs/main/osx-64::patsy==0.5.1=py36_0 -&gt; numpy[version='&gt;=1.4.0']
    - pkgs/main/osx-64::ply==3.11=py36_0
    - pkgs/main/osx-64::pytables==3.5.1=py36h5bccee9_0 -&gt; numexpr -&gt; numpy[version='&gt;=1.15.4,&lt;2.0a0']
    - pkgs/main/osx-64::pytest-arraydiff==0.3=py36h39e3cac_0 -&gt; numpy
    - pkgs/main/osx-64::pytest-astropy==0.5.0=py36_0 -&gt; pytest-arraydiff[version='&gt;=0.1'] -&gt; numpy
    - pkgs/main/osx-64::pytest-doctestplus==0.3.0=py36_0 -&gt; numpy[version='&gt;=1.10']
    - pkgs/main/osx-64::pywavelets==1.0.2=py36h1d22016_0 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::scikit-image==0.14.2=py36h0a44026_0 -&gt; imageio[version='&gt;=2.1.0'] -&gt; numpy
    - pkgs/main/osx-64::scikit-learn==0.20.3=py36h27c97d8_0 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::scipy==1.2.1=py36h1410ff5_0 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::seaborn==0.9.0=py36_0 -&gt; matplotlib[version='&gt;=1.4.3'] -&gt; numpy
    - pkgs/main/osx-64::statsmodels==0.9.0=py36h1d22016_0 -&gt; numpy[version='&gt;=1.11.3,&lt;2.0a0']
    - pkgs/main/osx-64::zipp==0.3.3=py36_1
  </code></pre>