Log Message:
py-rpy: update to 2.9.0

Release 2.9.0:

New features

- New module :mod:`rpy2.situation` to extract and report informations
  about the environment, such as where is the R HOME, what is the
  version of R, what is the version of R rpy2 was built with, etc...
  The module is also designed to be run directly and provide diagnostics:
  `python -m rpy2.situation`.

- :meth:`Environment.values`, :meth:`Environment.pop`,
  :meth:`Environment.popitems`, :meth:`Environment.clear`
  to match :meth:`dict.values`,
  :meth:`dict.pop`, :meth:`dict.popitems`, :meth:`dict.clear`.

- :class:`VectorOperationsDelegator` now has a method `__matmul__` to implement
  Python's matrix multiplication operator (PEP-0645).

- A rule to convert R POSIXct vectors to pandas Timestamp vectors was added.

- method :meth:`_repr_html_` for R vectors to display HTML in jupyter.

Changes

- Starting several times the singleton :class:`EventProcessor` longer results
  in a :class:`RuntimeError`.

- The target version for the R package `dplyr` mapped is now 0.7.1, and
  :func:`rpy2.robjects.lib.dplyr.src_dt` and
  :func:`rpy2.robjects.lib.dplyr.src_desc` are no longer present.

- :meth:`Environment.keys` is now a iterator to match :meth:`dict.keys`,
  also an interator in Python 3.

- Target version of `ggplot2` library is 2.2.1.

- Option `stringsasfactors` in the constructor for the class `DataFrame`. If \ 
`False`, the
  strings are no longer converted to factors. When converting from pandas data frames
  the default is to no longer convert columns of strings to factors.

- The R "magic" for jupyter is now more consistently using the \ 
conversion system, and the
  use of custom converters through the magic argument `-c` will work as expected.

- Docker-related files moved to directory docker/ (where variants image for rpy2 \ 
are available)

Bugs fixed

- :func:`numpy.float128` is not available on all platforms. The unit test
  for it is now skipped on systems where it is not present

- R pairlist objects can now be sliced.

- Passing parameters names that are empty string to R function was
  causing a segfault.

- Trying to build an atomic R vector from a Python object that has a length,
  but it not a sequence nor an iterator was causing a segfault