anchor.diff:      pip install --upgrade scikit-image && \
       /tmp/clean-layer.sh
   
  -# Make sure the dynamic linker finds the right libstdc++
  -ENV LD_LIBRARY_PATH=/opt/conda/lib
  -
  -# Disable deep conda dependency checks
  -RUN conda config --set unsatisfiable_hints_check_depth 1
  -
  -RUN pip install matplotlib && \
  -    pip install pyshp && \
  -    pip install pyproj && \
  -    conda install basemap && \
  -    # sasl is apparently an ibis dependency
  -    apt-get -y install libsasl2-dev && \
  -    # ...as is psycopg2
  -    apt-get install -y libpq-dev && \
  -    pip install ibis-framework && \
  -    # Cartopy plus dependencies
  -    yes | conda install proj4 && \
  -    pip install packaging && \
  -    pip install shapely && \
  -    pip install cartopy && \
  +RUN pip install ibis-framework && \
       pip install mxnet && \
  -    # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
  -    pip install --upgrade numpy && \
       pip install gluonnlp && \
  -    pip install gluoncv && \
  -    # h2o
  -    conda install -c h2oai h2o && \
  -    /tmp/clean-layer.sh
  -
  -# b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
  -ENV PROJ_LIB=/opt/conda/share/proj
  +    pip install gluoncv && \    
  +    /tmp/clean-layer.sh
   
   # scikit-learn dependencies
   RUN pip install scipy && \
  
positive.code:     pip install --upgrade pip && \
      /tmp/clean-layer.sh
  
  # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
  # b/150498764 distributed 2.11.0 fails at import while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests.
  RUN pip install distributed==2.10.0 && \
      pip install seaborn python-dateutil dask && \
      pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
      pip install pandas && \
  
negative.code:     apt-get install -y pandoc && \
      pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
      pip install essentia && \
      /tmp/clean-layer.sh
  
  # vtk with dependencies
  