- Update to 3.4.4:
  * `RRuntimeError` exceptions raised while evaluating R code
    an R magic (ipython/jupyter) are now propagated (issue #792).
  * :mod:`rpy2.robjects.lib.ggplot2` maps more functions in the
    R package (issue #767)
  * Utility function :func:`rpy2.robjects.lib.ggplot2.dict2rvec`
    to convert a Python `Dict[str, str]` into an R named vector
    of strings.
  * Converting pandas series with the older numpy types could result
    in an error (issue #781)
  * Numpy converter was not properly turing R integer or float arrays
    into their numpy equivalent (issue #785)
  * Multithreading during the initialization of the embedded R no longer
    triggers a fatal error (issue #729)
  * The mapping of the R C API now includes `Rf_isSymbol()`.
  * Singleton class :class:`rpy2.rinterface_lib.sexp.RVersion` to report
    the R version for the embedded R.
  * :func:`rpy2.rinterface.local_context` to create a context manager
    to evaluate R code within a local environment.
  * The `staticmethod` :meth:`rpy2.robjects.vectors.DateVector.isrinstance`
    will tell whether an R objects is an R `Date` array.
  * The functions :func:`rpy2.robjects.numpy.activate()` and
    :func:`rpy2.robjects.pandas.activate()` are deprecated and will
    be removed in rpy2*3.5.0.
  * :meth:`rpy2.robjects.lib.ggplot2.vars` to map the R function
    `ggplot2::vars` (issue #742).
  * Report correctly the class of R matrix objects with R>=4.0: it is
    now `('matrix', 'array')`. With R<4.0 `('matrix')` is still reported.
  * The conversion `rpy2py` is now working with any Python object inheriting
    from `_rinterface_capi.SupportsSEXP`.
  * More complete and correct mapping of R class names in
    :func:`rpy2.rinterface_lib.sexp.rclass_get`.
  * The conversion of R string arrays to `numpy` arrays was leaving
    R's `NA` value as R NA objects. NAs in this type of arrays are now
    turned to `None` in the resulting `numpy` array (issue #751).
  * `rpy2.situation.get_rlib_path()` was returning an environment variable
    with an invalid separator on Windows (mentioned in issue #754).
  * R strings encoded with something else than 'utf-8' could result in
    errors when trying to convert to Python strings (issue #754).
  * R `Date` arrays/vectors were not wrapped into
    :class:`rpy2.robjects.vectors.DateVector` objects but left as
    R arrays of floats (which they are at the C level).
  * The :meth:`__repr__` of `robjects`-level objects was not displaying
    the rpy2 class the R object is mapped to.
  * The unit tests for importing R packages with `lib_loc` were
    broken (issue #720).
  * Fix the constructor of metaclass
    :class:`rpy2.robjects.methods.RS4Auto_Type`.
  * Fix call to end the embedded R in :class:`rpy2.robjects.R.__cleanup__`
    (issue #734). 
- Do not build on Python 3.6, due to no NumPy.

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