title: UnsatisfiableError: The following specifications were found to be incompatible with each other:
body: <p>I am running on Ubuntu 16.04 and I have run into issues with Anaconda.
  Due to package inconsistencies, I can no longer install, update or remove packages.</p>
  
  <pre><code>$ conda info
  NVIDIA: no NVIDIA devices found
  
       active environment : None 
              shell level : 0
         user config file : /home/ubuntu/.condarc
   populated config files : /home/ubuntu/.condarc
            conda version : 4.7.5
      conda-build version : 3.2.2
           python version : 2.7.15.final.0
         virtual packages : 
         base environment : /home/ubuntu/anaconda  (writable)
             channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                            https://conda.anaconda.org/conda-forge/noarch
                            https://repo.anaconda.com/pkgs/main/linux-64
                            https://repo.anaconda.com/pkgs/main/noarch
                            https://repo.anaconda.com/pkgs/r/linux-64
                            https://repo.anaconda.com/pkgs/r/noarch
            package cache : /home/ubuntu/anaconda/pkgs
                            /home/ubuntu/.conda/pkgs
         envs directories : /home/ubuntu/anaconda/envs
                            /home/ubuntu/.conda/envs
                 platform : linux-64
               user-agent : conda/4.7.5 requests/2.21.0 CPython/2.7.15 Linux/4.4.0-161-generic ubuntu/16.04.6 glibc/2.23
                  UID:GID : 1000:1000
               netrc file : None 
             offline mode : False
  
  </code></pre>
  
  <p>I tried all the suggestions in this issue, but nothing is working:</p>
  
  <p><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></p>
  
  <p>Also</p>
  
  <p><a href="https://stackoverflow.com/questions/57150825/how-to-fix-unsatisfiableerror-the-following-specifications-were-found-to-be-i">&quot;how to fix &#39;UnsatisfiableError: The following specifications were found to be incompatible with each other&#39;&quot;</a>
  E.g. -</p>
  
  <pre><code>$ conda activate base 
  $ conda update conda-build
  $ conda update conda-build
  $conda update --all
  $ conda install anaconda
  $ conda install -c anaconda anaconda
  $ conda install gxx_impl_linux-64
  </code></pre>
  
  <p>Here's the full output:</p>
  
  <pre><code>buntu@ip-10-0-1-71:~/clamav-devel$ conda list gxx_impl_linux-64   
  # packages in environment at /home/ubuntu/anaconda:
  #
  # Name                    Version                   Build  Channel 
  gxx_impl_linux-64         7.3.0                hdf63c60_1
  ubuntu@ip-10-0-1-71:~/clamav-devel$ conda install gxx_impl_linux-64
  WARNING conda.base.context:use_only_tar_bz2(632): Conda is constrained to only using the old .tar.bz2 file format because you have conda-build installed, and it is &lt;3.18.3.  Update or remove conda-build t
  o get smaller downloads and faster extractions.
  Collecting package metadata (repodata.json): - NVIDIA: no NVIDIA devices founddone
  Solving environment: /
  The environment is inconsistent, please check the package plan carefully
  The following packages are causing the inconsistency:                         -
    - conda-forge/linux-64::zstd==1.4.0=h3b9ef0a_0
    - https://repo.continuum.io/pkgs/free/linux-64::binstar==0.11.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::sphinx_rtd_theme==0.1.9=py27_0
    - featuretools/linux-64::featuretools==0.3.0=np111py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::xlsxwriter==0.8.4=py27_0
    - defaults/linux-64::gxx_impl_linux-64==7.3.0=hdf63c60_1
    - defaults/linux-64::cffi==1.11.5=py27he75722e_1
    - defaults/linux-64::curl==7.62.0=hbc83047_0
    - defaults/linux-64::h5py==2.8.0=py27h989c5e5_3
    - defaults/linux-64::absl-py==0.6.1=py27_0
    - defaults/linux-64::jupyterlab_launcher==0.11.2=py27h28b3542_0  
    - https://repo.continuum.io/pkgs/free/linux-64::pyflakes==1.1.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::unicodecsv==0.14.1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::sqlalchemy==1.0.12=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::xlwt==1.0.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::spyder==2.3.8=py27_1
    - https://repo.continuum.io/pkgs/free/linux-64::clyent==1.2.1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::contextlib2==0.5.4=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::flask-cors==2.1.2=py27_0
    - defaults/linux-64::tensorboard==1.12.0=py27hf484d3e_0
    - https://repo.anaconda.com/pkgs/free/linux-64::pycurl==7.19.0=py27_0
    - defaults/linux-64::gcc_linux-64==7.3.0=h553295d_3
    - defaults/linux-64::libxml2==2.9.9=hea5a465_1
    - defaults/linux-64::networkx==2.2=py27_1
    - defaults/linux-64::cytoolz==0.9.0=py27h14c3975_0
    - https://repo.continuum.io/pkgs/free/linux-64::ipython-notebook==4.0.4=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::bcolz==1.0.0=py27_0
    - defaults/linux-64::distributed==1.23.1=py27_0
    - defaults/linux-64::sortedcontainers==2.0.5=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::mistune==0.7.2=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::chest==0.2.3=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::beautifulsoup4==4.4.1=py27_0
    - defaults/linux-64::future==0.16.0=py27_2
    - &lt;unknown&gt;/linux-64::docutils==0.12=py27_0
    - defaults/linux-64::nose==1.3.7=py27_2
    - defaults/linux-64::numpy==1.14.2=py27hdbf6ddf_0
    - conda-forge/linux-64::lz4-c==1.8.3=he1b5a44_1001
    - &lt;unknown&gt;/linux-64::runipy==0.1.3=py27_0
    - &lt;unknown&gt;/linux-64::itsdangerous==0.24=py27_0
    - defaults/linux-64::futures==3.2.0=py27_0
    - defaults/linux-64::toolz==0.9.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::gevent==1.1.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::jinja2==2.8=py27_0
    - defaults/linux-64::libgcc-ng==8.2.0=hdf63c60_1
    - &lt;unknown&gt;/linux-64::ssl_match_hostname==3.4.0.2=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::pytz==2016.2=py27_0
    - conda-forge/linux-64::jupyter_contrib_core==0.3.3=py27_0
    - defaults/linux-64::asn1crypto==0.24.0=py27_0
    - defaults/linux-64::keras-preprocessing==1.0.5=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::scikit-learn==0.18.1=np111py27_nomkl_1
   https://repo.continuum.io/pkgs/free/linux-64::alabaster==0.7.7=py27_0
    - defaults/linux-64::pysocks==1.6.8=py27_0
    - conda-forge/linux-64::subprocess32==3.2.7=py27_0
    - conda-forge/linux-64::audioread==2.1.4=py27_1
    - https://repo.continuum.io/pkgs/free/linux-64::ptyprocess==0.5=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::ipython_genutils==0.1.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::mpmath==0.19=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::traitlets==4.2.1=py27_0
    - conda-forge/linux-64::nltk==3.2.4=py27_0
    - defaults/linux-64::python==2.7.15=h9bab390_4
    - https://repo.continuum.io/pkgs/free/linux-64::datashape==0.5.1=py27_0
    - anaconda/linux-64::joblib==0.13.0=py27_0
    - defaults/linux-64::scipy==1.1.0=py27h7c811a0_2
    - defaults/linux-64::partd==0.3.8=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::ipaddress==1.0.14=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::blaze==0.9.1=py27_0
    - conda-forge/linux-64::scikit-image==0.12.3=np111py27_1
    - https://repo.continuum.io/pkgs/free/linux-64::greenlet==0.4.9=py27_0
    - defaults/linux-64::ncurses==6.1=hf484d3e_0
    - https://repo.continuum.io/pkgs/free/linux-64::qt==4.8.7=1
    - defaults/linux-64::werkzeug==0.14.1=py27_0
    - defaults/linux-64::gast==0.2.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::ruamel_yaml==0.11.14=py27_1
    - https://repo.continuum.io/pkgs/free/linux-64::ply==3.8=py27_0  
    - defaults/linux-64::plotly==3.4.2=py27h28b3542_0
    - https://repo.continuum.io/pkgs/free/linux-64::abstract-rendering==0.5.1=np111py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::pyasn1==0.1.9=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::markdown==2.6.9=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::mako==1.0.6=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::html5lib==0.9999999=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::openpyxl==2.3.2=py27_0
    - conda-forge/linux-64::statsmodels==0.8.0=np111py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::six==1.10.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::lxml==3.6.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::sympy==1.0=py27_0
    - defaults/linux-64::c-ares==1.15.0=h7b6447c_1
    - &lt;unknown&gt;/linux-64::py2cairo==1.10.0=py27_2
    - defaults/linux-64::decorator==4.3.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::multipledispatch==0.4.8=py27_0
    - defaults/linux-64::s3transfer==0.1.13=py27_0
    - defaults/linux-64::pympler==0.5=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::pycparser==2.14=py27_0
    - &lt;unknown&gt;/linux-64::markupsafe==0.23=py27_0
    - defaults/linux-64::flask==0.12.2=py27h6d5c1cd_0
    - &lt;unknown&gt;/linux-64::rope==0.9.4=py27_1
    - conda-forge/linux-64::jupyter_nbextensions_configurator==0.2.7=py27_0
    - defaults/linux-64::conda-build==3.2.2=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::spyder-app==2.3.8=py27_0
    - conda-forge/linux-64::pytables==3.3.0=np111py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::argcomplete==1.0.0=py27_1
    - conda-forge/linux-64::xz==5.2.4=h14c3975_1001
    - defaults/linux-64::pycosat==0.6.3=py27ha4109ae_0
    - https://repo.continuum.io/pkgs/free/linux-64::snowballstemmer==1.2.1=py27_0
    - defaults/linux-64::sqlite==3.25.3=h7b6447c_0
    - defaults/linux-64::unittest2==1.1.0=py27_0
    - defaults/linux-64::zict==0.1.3=py27_0
    - defaults/linux-64::backports==1.0=py27h63c9359_1
    - https://repo.continuum.io/pkgs/free/linux-64::ipython==4.1.2=py27_1
    - conda-forge/linux-64::resampy==0.1.5=np111py27_1
    - defaults/linux-64::jupyter==1.0.0=py27_7
    - https://repo.continuum.io/pkgs/free/linux-64::jupyter_core==4.1.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::sockjs-tornado==1.0.1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::singledispatch==3.4.0.3=py27_0
  - conda-forge/linux-64::resampy==0.1.5=np111py27_1
    - defaults/linux-64::jupyter==1.0.0=py27_7
    - https://repo.continuum.io/pkgs/free/linux-64::jupyter_core==4.1.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::sockjs-tornado==1.0.1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::singledispatch==3.4.0.3=py27_0
    - conda-forge/linux-64::openssl==1.1.1b=h14c3975_1
    - https://conda.binstar.org/auto/linux-64::libpgm==1.2=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::backports.weakref==1.0rc1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::filelock==2.0.7=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::conda-manager==0.3.1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::numexpr==2.6.2=np111py27_nomkl_0
    - conda-forge/linux-64::zeromq==4.2.5=hfc679d8_4
    - defaults/linux-64::libffi==3.2.1=hd88cf55_4
    - defaults/linux-64::hdf5==1.10.2=hba1933b_1
    - https://repo.continuum.io/pkgs/free/linux-64::py4j==0.10.6=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::fontconfig==2.11.1=5
    - conda-forge/linux-64::patsy==0.4.1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::psutil==4.1.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::sphinx==1.3.5=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::babel==2.2.0=py27_0
    - defaults/linux-64::pygpu==0.7.6=py27h035aef0_0
    - conda-forge/linux-64::python-libarchive-c==2.8=py27_1004
    - defaults/linux-64::libssh2==1.8.0=h1ba5d50_4
    - &lt;unknown&gt;/linux-64::beautiful-soup==4.3.2=py27_0
    - defaults/linux-64::tensorflow-base==1.12.0=mkl_py27h3c3e929_0  
    - defaults/linux-64::click==6.7=py27h4225b90_0
    - defaults/linux-64::linecache2==1.0.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::locket==0.2.0=py27_0
    - conda-forge/linux-64::conda==4.7.5=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::qtawesome==0.3.2=py27_0
    - defaults/linux-64::cloudpickle==0.5.5=py27_0
    - defaults/linux-64::cython==0.28.5=py27hf484d3e_0
    - https://repo.continuum.io/pkgs/free/linux-64::terminado==0.5=py27_1
    - defaults/linux-64::cryptography==2.4.1=py27h1ba5d50_0
    - defaults/linux-64::pyyaml==3.12=py27h2d70dd7_1
    - https://repo.continuum.io/pkgs/free/linux-64::heapdict==1.0.0=py27_0
    - defaults/linux-64::grpcio==1.16.1=py27hf8bcb03_1
    - defaults/linux-64::traceback2==1.4.0=py27_0
    - defaults/linux-64::astor==0.7.1=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::pyqt==4.11.4=py27_1
    - https://repo.continuum.io/pkgs/free/linux-64::wheel==0.29.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::dill==0.2.4=py27_0
    - defaults/linux-64::mkl-service==1.1.2=py27he904b0f_5
    - https://repo.continuum.io/pkgs/free/linux-64::py==1.4.31=py27_0
    - &lt;unknown&gt;/linux-64::redis-py==2.10.3=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::anaconda-navigator==1.1.0=py27_0
    - defaults/linux-64::zlib==1.2.11=ha838bed_2
    - defaults/linux-64::tblib==1.3.2=py27h51fe5ba_0
    - https://repo.continuum.io/pkgs/free/linux-64::simplegeneric==0.8.1=py27_0
    - conda-forge/linux-64::libsodium==1.0.16=h470a237_1
    - defaults/linux-64::s3fs==0.1.6=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::sip==4.16.9=py27_0
    - defaults/linux-64::libprotobuf==3.6.1=hd408876_0
    - https://repo.continuum.io/pkgs/free/linux-64::pyspark==2.2.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::bleach==1.5.0=py27_0
    - https://repo.continuum.io/pkgs/free/linux-64::python-dateutil==2.5.1=py27_0
  ...
  </code></pre>
  
  <p>Update:</p>
  
  <pre><code>1. On Ubuntu 16.06, I tried exporting the ‘base’ and ‘ai’ environments to .yml files, deleted ~/anaconda, reinstalled Anaconda and tried to restore my ‘ai’ environment.
  condo complained about hundred of conflicts.
  
  -rwxr-xr-x    1 ubuntu ubuntu 499266771 Sep 11 16:57 Anaconda2-2019.07-Linux-x86_64.sh
  
  $ conda env create -f ai_environment.yml 
  NVIDIA: no NVIDIA devices found
  Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies.  Conda may not use the correct pip to install your packages, and they may end up in the wrong place.  Please add an explicit pip dependency.  I'm adding one for you, but still nagging you.
  Collecting package metadata (repodata.json): / NVIDIA: no NVIDIA devices found
  done
  Solving environment: - 
  Found conflicts! Looking for incompatible packages.
  This can take several minutes.  Press CTRL-C to abort.
  Examining backports.shutil_get_terminal_size:  21%|▏| 65/316 [00:00&lt;00:00, 4464.Examining pyserial:  21%|████▏               | 66/316 [00:00&lt;00:00, 4488.21it/s]Examining jupyter_nbextensions_configurator:  66%|▋| 210/316 [00:00&lt;00:00, 4888.Examining packaging:  67%|████████████      | 211/316 [00:00&lt;00:00, 4900.24it/s]Examining sphinxcontrib-serializinghtml:  88%|▉| 277/316 [00:00&lt;00:00, 4816.54itExamining astor:  88%|███████████████████▎  | 278/316 [00:00&lt;00:00, 4820.70itfailed                                                                             
  
  UnsatisfiableError: The following specifications were found to be incompatible with each other:
  
  
  
  Package pyzmq conflicts for:
  jupyter_client==5.2.3=py36_0 -&gt; pyzmq[version='&gt;=13']
  notebook==5.7.8=py36_0 -&gt; pyzmq[version='&gt;=17']
  Package mkl conflicts for:
  mkl_fft==1.0.10=py36_0 -&gt; mkl
  pytorch==0.4.0=py36hdf912b8_0 -&gt; mkl[version='&gt;=2018.0.2,&lt;2019.0a0']
  mkl_random==1.0.2=py36_0 -&gt; mkl
  Package ujson conflicts for:
  spacy==2.0.12=py36h962f231_0 -&gt; ujson[version='&gt;=1.35']
  Package jinja2 conflicts for:
  notebook==5.7.8=py36_0 -&gt; jinja2
  nbconvert==5.5.0=py_0 -&gt; jinja2
  Package h5py conflicts for:
  keras-base==2.2.4=py36_0 -&gt; h5py
  Package libsodium conflicts for:
  pyzmq==17.0.0=py36h14c3975_0 -&gt; libsodium
  zeromq==4.2.5=h439df22_0 -&gt; libsodium[version='&gt;=1.0.16,&lt;1.0.17.0a0']
  Package keras-preprocessing conflicts for:
  keras-base==2.2.4=py36_0 -&gt; keras-preprocessing[version='&gt;=1.0.5']
  tensorflow==1.13.1=py36_0 -&gt; keras-preprocessing[version='&gt;=1.0.5']
  Package murmurhash conflicts for:
  spacy==2.0.12=py36h962f231_0 -&gt; murmurhash[version='&gt;=0.28,&lt;0.29']
  Package libgfortran-ng conflicts for:
  hdf5==1.10.2=hba1933b_1 -&gt; libgfortran-ng[version='&gt;=7,&lt;8.0a0']
  libopenblas==0.3.3=h5a2b251_3 -&gt; libgfortran-ng[version='&gt;=7,&lt;8.0a0']
  blas==2.7=openblas -&gt; libgfortran-ng[version='&gt;=7,&lt;8.0a0']
  numpy-base==1.16.2=py36h2f8d375_0 -&gt; libgfortran-ng[version='&gt;=7,&lt;8.0a0']
  Package protobuf conflicts for:
  chainer==4.2.0=py36_0 -&gt; protobuf[version='&gt;=3.0.0']
  tensorflow==1.13.1=py36_0 -&gt; protobuf[version='&gt;=3.6.1']
  tensorflow-tensorboard==1.5.1=py36hf484d3e_1 -&gt; protobuf
  tensorboard==1.13.1=py36_0 -&gt; protobuf[version='&gt;=3.4.0']
  Package tk conflicts for:
  python==3.6.7=h0371630_0 -&gt; tk[version='&gt;=8.6.8,&lt;8.7.0a0']
  Package blas conflicts for:
  libcblas==3.8.0=7_openblas -&gt; blas=[build=openblas]
  scikit-learn==0.20.3=py36h22eb022_0 -&gt; blas=[build=openblas]
  libblas==3.8.0=7_openblas -&gt; blas=[build=openblas]
  liblapacke==3.8.0=7_openblas -&gt; blas=[build=openblas]
  numpy-base==1.16.2=py36h2f8d375_0 -&gt; blas=[build=openblas]
  nomkl==3.0=0 -&gt; blas=[build=openblas]
  liblapack==3.8.0=7_openblas -&gt; blas=[build=openblas]
  Package keras-applications conflicts for:
  keras-base==2.2.4=py36_0 -&gt; keras-applications[version='&gt;=1.0.6']
  tensorflow==1.13.1=py36_0 -&gt; keras-applications[version='&gt;=1.0.6']
  Package ninja conflicts for:
  pytorch==0.4.0=py36hdf912b8_0 -&gt; ninja
  Package requests conflicts for:
  spacy==2.0.12=py36h962f231_0 -&gt; requests[version='&gt;=2.13.0,&lt;3.0.0']
  Package dbus conflicts for:
  qt==5.9.7=h5867ecd_1 -&gt; dbus[version='&gt;=1.13.2,&lt;2.0a0']
  pyqt==5.9.2=py36h751905a_0 -&gt; dbus[version='&gt;=1.12.2,&lt;2.0a0']
  Package pandocfilters conflicts for:
  nbconvert==5.5.0=py_0 -&gt; pandocfilters[version='&gt;=1.4.1']
  Package liblapacke conflicts for:
  libblas==3.8.0=7_openblas -&gt; liblapacke==3.8.0=7_openblas
  libcblas==3.8.0=7_openblas -&gt; liblapacke==3.8.0=7_openblas
  liblapack==3.8.0=7_openblas -&gt; liblapacke==3.8.0=7_openblas
  blas==2.7=openblas -&gt; liblapacke==3.8.0=7_openblas
  Package ptyprocess conflicts for:
  pexpect==4.6.0=py36_0 -&gt; ptyprocess[version='&gt;=0.5']
  terminado==0.8.1=py36_1 -&gt; ptyprocess
  Package nbformat conflicts for:
  nbconvert==5.5.0=py_0 -&gt; nbformat[version='&gt;=4.4']
  notebook==5.7.8=py36_0 -&gt; nbformat
  Package _libgcc_mutex conflicts for:
  libgcc-ng==8.2.0=hdf63c60_1 -&gt; _libgcc_mutex=[build=main]
  Package cudnn conflicts for:
  pytorch==0.4.0=py36hdf912b8_0 -&gt; cudnn[version='&gt;=7.1.2,&lt;=8.0a0']
  Package zeromq conflicts for:
  pyzmq==17.0.0=py36h14c3975_0 -&gt; zeromq[version='&gt;=4.2.3,&lt;4.3']
  Package pygments conflicts for:
  prompt_toolkit==2.0.9=py_0 -&gt; pygments
  ipython==7.5.0=py36h24bf2e0_0 -&gt; pygments
  nbconvert==5.5.0=py_0 -&gt; pygments
  Package plac conflicts for:
  spacy==2.0.12=py36h962f231_0 -&gt; plac[version='&gt;=0.9.6,&lt;1.0.0']
  Package pango conflicts for:
  graphviz==2.40.1=h21bd128_2 -&gt; pango[version='&gt;=1.42.1,&lt;2.0a0']
  Package python conflicts for:
  tornado==5.0.2=py36_0 -&gt; python[version='3.6.*|&gt;=3.6,&lt;3.7.0a0']
  pycparser==2.18=py36hf9f622e_1 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  jupyter_core==4.4.0=py36h7c827e3_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  murmurhash==0.28.0=py36_0 -&gt; python=3.6
  python-dateutil==2.7.3=py36_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  filelock==3.0.4=py36_0 -&gt; python[version='3.6.*|&gt;=3.6,&lt;3.7.0a0']
  multicore-tsne==0.1_d4ff4aab=py36h3e44d54_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  pexpect==4.6.0=py36_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  idna==2.7=py36_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  tblib==1.3.2=py36h34cf8b6_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  astor==0.6.2=py36_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  jupyterlab==0.32.1=py36_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  scikit-learn==0.20.3=py36h22eb022_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  numpy-base==1.16.2=py36h2f8d375_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  jupyterlab_launcher==0.10.5=py36_0 -&gt; python[version='3.6.*|&gt;=3.6,&lt;3.7.0a0']
  kiwisolver==1.0.1=py36h764f252_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  ujson==1.35=py36_0 -&gt; python=3.6
  cycler==0.10.0=py36h93f1223_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  boto==2.48.0=py36h6e4cd66_1 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  ipykernel==5.1.1=py36h24bf2e0_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  six==1.12.0=py36_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  requests==2.22.0=py36_1 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  pyemd==0.5.1=py36ha8d69ae_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  tensorflow-probability==0.5.0=py_1 -&gt; python
  chainer==4.2.0=py36_0 -&gt; python[version='&gt;=3.6,&lt;3.7.0a0']
  docutils==0.14=py36hb0f60f5_0 -&gt; python[version=
  …
  
  2. I tried exporting my ‘ai’ environment from my Mac and importing it on Ubuntu 16.06. I
  failed because of missing packages. Are these packages that I built from source that conda can’t find?
  
  
  (base) ubuntu@ip-10-0-1-71:~$ conda env create -f ai_mac_environment.yml 
  NVIDIA: no NVIDIA devices found
  Collecting package metadata (repodata.json): | NVIDIA: no NVIDIA devices found
  done
  Solving environment: failed
  
  ResolvePackageNotFound: 
    - pymongo==3.7.2=py36h0a44026_0
    - pygpu==0.7.6=py36h917ab60_1000
    - gensim==3.4.0=py36h1de35cc_0
    - pytorch==1.1.0=py3.6_0
    - ninja==1.9.0=h04f5b5a_0
    - matplotlib==2.2.2=py36ha7267d0_0
    - graphviz==2.38.0=hbeef861_8
    - openssl==1.1.1=h1de35cc_0
    - scikit-learn==0.20.3=py36hebd9d1a_0
    - libgpuarray==0.7.6=h1de35cc_1003
    - kiwisolver==1.1.0=py36h770b8ee_0
    - tornado==6.0.2=py36h01d97ff_0
    - python==3.6.7=haf84260_0
    - libopenblas==0.3.3=hdc02c5d_3
    - tensorboard==1.12.2=py36haf313ee_0
    - msgpack-python==0.6.1=py36h04f5b5a_0
    - grpcio==1.12.1=py36hd9629dc_0
    - webencodings==0.5.1=py36_0
    - tensorflow-base==1.12.0=mkl_py36h70e0e9a_0
    - pandoc==2.2.1=hde52d81_0
    - appnope==0.1.0=py36_0
    - boto==2.48.0=py36hdbc59ac_1
    - libprotobuf==3.6.1=hd9629dc_1000
    - protobuf==3.6.1=py36h0a44026_1001
    - xz==5.2.4=h1de35cc_4
    - python-crfsuite==0.9.6=py36h04f5b5a_1000
    - readline==7.0=hc1231fa_4
    - thinc==6.10.1=py36h17d75cb_0
    - libgfortran==3.0.1=h93005f0_2
    - scipy==1.2.1=py36hbd7caa9_1
    - cymem==1.31.2=py36hfc679d8_0
    - numpy-base==1.16.2=py36ha711998_0
    - openblas==0.3.5=h436c29b_1001
    - numpy==1.16.2=py36hbb3c62a_1
    - cryptography==2.3.1=py36ha12b0ac_2
    - tensorflow==1.12.0=mkl_py36h2b2bbaf_0
  
  3. I tried reverting conda to rev 0 after reinstalling Anaconda2-2019.07-Linux-x86_64.sh
  
  4. I tried to install my previous environment with 
  $ conda env create -f ai_environment.yml 
  This got hundreds of conflicts
  
  5. I tried to install my mac environment with:
  $ conda env create -f ai_mac_environment_1.yml 
  this got ResolvePackageNotFound: with 38 missing packages.
  
  6. I deleted the missing packages from ai_mac_environment_1.yml and tried again.
  NVIDIA: no NVIDIA devices found
  Collecting package metadata (repodata.json): \ NVIDIA: no NVIDIA devices found
  done
  Solving environment: failed
  
  UnsatisfiableError: The following specifications were found to be incompatible with each other:
  
  
  
  Package libpng conflicts for:
  pillow==5.2.0=py36h2dc6135_1 -&gt; freetype[version='&gt;=2.8,&lt;2.9.0a0'] -&gt; libpng[version='1.6.*,&gt;=1.6.23,&lt;1.7,&gt;=1.6.27,&lt;1.7,&gt;=1.6.32,&lt;1.6.35,&gt;=1.6.34,&lt;1.7.0a0']
  freetype==2.8.1=0 -&gt; libpng[version='1.6.*,&gt;=1.6.23,&lt;1.7,&gt;=1.6.27,&lt;1.7,&gt;=1.6.32,&lt;1.6.35,&gt;=1.6.34,&lt;1.7.0a0']
  bokeh==1.0.1=py36_1000 -&gt; pillow[version='&gt;=4.0'] -&gt; freetype[version='2.7|2.7.*,&gt;=2.8,&lt;2.9.0a0,&gt;=2.9.1,&lt;3.0a0'] -&gt; libpng[version='1.6.*,&gt;=1.6.23,&lt;1.7,&gt;=1.6.27,&lt;1.7,&gt;=1.6.32,&lt;1.6.35,&gt;=1.6.34,&lt;1.7.0a0']
  libpng==1.6.34=ha92aebf_1
  seaborn==0.9.0=py_0 -&gt; matplotlib[version='&gt;=1.4.3'] -&gt; pyqt[version='4.*,5.*,5.6.*,5.9.*,&gt;=5.9.2,&lt;5.10.0a0'] -&gt; qt[version='4.8.*,5.6.*,&gt;=4.8.6,&lt;5.0,&gt;=5.6.2,&lt;5.7.0a0'] -&gt; gtk2 -&gt; pango[version='1.40.*,&gt;=1.40.14,&lt;1.41.0a0,&gt;=1.42.4,&lt;1.43.0a0'] -&gt; harfbuzz[version='0.9.*,&gt;=1.7.6,&lt;1.8.0a0,&gt;=1.7.6,&lt;2.0a0,&gt;=1.9.0,&lt;2.0a0,&gt;=2.4.0,&lt;3.0a0'] -&gt; cairo[version='1.14.*,&gt;=1.14.12,&lt;1.15.0a0,&gt;=1.14.12,&lt;2.0a0,&gt;=1.16.0,&lt;1.17.0a0'] -&gt; fontconfig[version='2.11.1,2.12.*,&gt;=2.12.4,&lt;3.0a0,&gt;=2.13.1,&lt;3.0a0'] -&gt; freetype[version='2.5.*,2.6.*,2.8.1,&gt;=2.8,&lt;2.9.0a0,&gt;=2.8.1,&lt;2.9.0a0,&gt;=2.9.1,&lt;3.0a0'] -&gt; libpng[version='1.6.*,&gt;=1.6.23,&lt;1.7,&gt;=1.6.27,&lt;1.7,&gt;=1.6.32,&lt;1.6.35,&gt;=1.6.34,&lt;1.7.0a0']
  torchvision==0.2.1=py_2 -&gt; pillow[version='&gt;=4.1.1'] -&gt; freetype[version='2.7|2.7.*,&gt;=2.8,&lt;2.9.0a0,&gt;=2.9.1,&lt;3.0a0'] -&gt; libpng[version='1.6.*,&gt;=1.6.23,&lt;1.7,&gt;=1.6.27,&lt;1.7,&gt;=1.6.32,&lt;1.6.35,&gt;=1.6.34,&lt;1.7.0a0']
  pydot==1.3.0=py36_1000 -&gt; graphviz -&gt; pango[version='&gt;=1.41.0,&lt;2.0a0,&gt;=1.42.1,&lt;2.0a0,&gt;=1.42.4,&lt;1.43.0a0'] -&gt; harfbuzz[version='0.9.*,&gt;=1.7.6,&lt;1.8.0a0,&gt;=1.7.6,&lt;2.0a0,&gt;=1.9.0,&lt;2.0a0,&gt;=2.4.0,&lt;3.0a0'] -&gt; cairo[version='1.14.*,&gt;=1.14.12,&lt;1.15.0a0,&gt;=1.14.12,&lt;2.0a0,&gt;=1.16.0,&lt;1.17.0a0'] -&gt; fontconfig[version='2.11.1,2.12.*,&gt;=2.12.4,&lt;3.0a0,&gt;=2.13.1,&lt;3.0a0'] -&gt; freetype[version='2.5.*,2.6.*,2.8.1,&gt;=2.8,&lt;2.9.0a0,&gt;=2.8.1,&lt;2.9.0a0,&gt;=2.9.1,&lt;3.0a0'] -&gt; libpng[version='1.6.*,&gt;=1.6.23,&lt;1.7,&gt;=1.6.27,&lt;1.7,&gt;=1.6.32,&lt;1.6.35,&gt;=1.6.34,&lt;1.7.0a0']
  
  </code></pre>