Log message:
Fix interpreter path in installed file.
Bump PKGREVISION.

Log message:
Fix packaging with py33. Disable for py26.

Log message:
Fix PLIST for python-2.x.

Log message:
Update to 2.5.6, in the hope it addresses PR 49817.

Release 2.5.6
=============

Bugs fixed
----------

- Detection of the R version during setup on Win8 (issues #255 and #258)

- Segmentation fault when converting :mod:`pandas` :class:`Series` with
  elements of type object (issue #264)

- The default converter from Python (non-rpy2) objects to rinterface-level
  objects was producing robjects-level objects whenever the input was of
  type :class:`list` (discovered while fixing issue #264)

- Implemented suggested fix for issue with unlinking files on Windows
  (issue #191)

- Testing rpy2 in the absence of ipython no longer stops with an error
  (issue #266)

Release 2.5.5
=============

Bugs fixed
----------

- Crash (segfault) when querying an R object in an R environment triggers an
  error (symbol exists, but associated values resolves to an error - issue #251)

- Change in the signature of `rcall` was not updated in the documentation
  (issue #259)

- Minor update to the documentation (issue #257)

Release 2.5.4
=============

Bugs fixed
----------

- Filter PNG files on size, preventing empty files causing trouble to be
  ipython notebook rendering of graphics later on (slight modification of
  the pull request #39)

- Fix installation left unresolved with rpy2-2.5.3 (issue #248)

- Possible segfault with Python 3.4 (issue #249)

Release 2.5.3
=============

Changes
-------

- `setup.py` has `install_requires` in addition to `requires` in the hope to
   fix the missing dependency with Python 2 (:mod:`singledispatch` is required
   but not installed).

Bugs fixed
----------

- Extracting configuration information from should now work when R is emitting a \ 
warning (issue #247)

- On OS X the library discovery step can yield nothing (see issue #246). A \ 
tentative fix is to issue
  a warning and keep moving.

Release 2.5.2
=============

Bugs fixed
----------

- String representation of :class:`robjects.R` (issue #238)

- Check during `build_ext` if unsupported version of R (pull request #32)

- HTMl display of columns of factors in a DataFrame (issue #236)

- HTML display of factors (issue #242)

Release 2.5.1
=============

Bugs fixed
----------

- Require singledispatch if Python 3.3 (issue #232)

- Fixed bug when R spits out a warning when asked configuration information \ 
(issue #233)

- Restored printing of compilation information when running `setup.py`

- Fixed installation issue on some systems (issue #234)

- Workaround obscure failure message from unittest if Python < 3.4 and
  :mod:`singledispatch` cannot be imported (issue #235)

Release 2.5.0
=============

New features
------------

- Experimental alternative way to preserve R objects from garbage collection.
  This can be activated with `rinterface.initr(r_preservehash=True)` (default
  is `False`.

- :class:`GGPlot` object getting a method :meth:`save`
  mirroring R's `ggplot2::ggsave()`.

- The conversion system is now using generics/single dispatch.

- New module :mod:`rpy2.ipython.html` with HTML display for rpy2 objects

- [Experimental] New function :func:`robjects.methods.rs4instance_factory`
  to type RS4 objects with more specificity.

Changes
-------

- The script `setup.py` was rewritten for clarity and ease of maintenance.
  Now it only uses `setuptools`.

Release 2.4.4
=============

Bugs fixed
----------

- Use `input` rather than `raw_input` in the default console callback
  with Python 3 (fixes issue #222)

- Issues with conversions, pandas, and rmagic (fixes issue #218 and more)

Release 2.4.3
=============

Bugs fixed
----------

- `geom_raster` was missing from `rpy2.robjects.lib.ggplot2` (pull request #30)

- Fixed issue with SVG rendering in ipython notebook (issue #217)

- Regression with `rx2()` introduced with new conversion (issue #219)

- Fixed documentation (missing `import`) (issue #213)

Release 2.4.2
=============

Bugs fixed
----------

- Assigning an R `DataFrame` into an environment was failing if
  the conversion for Pandas was activated. (Issue #207)

Release 2.4.1
=============

Bugs fixed
----------

- :meth:`rpy2.ipython` fixed spurious output to notebook cells.

Release 2.4.0
=============

Changes
-------

- Conversion system slightly changed, with the optional
  conversions for :mod:`numpy` and :mod:`pandas` modified
  accordingly. The changes should only matter if using
  third-party conversion functions.

- The Python 3 version is now a first class citizen. `2to3`
  is no longer used, and the code base is made directly
  compatible with Python. This lowers significantly the
  installation time with Python 3
  (which matters when developping rpy2).

- The default options to initialize R (`rpy2.rinterface.initoptions') are no longer
  `('rpy2', '--quiet', '--vanilla', '--no-save')` but now
  `('rpy2', '--quiet', '--no-save')`.

- :class:`robjects.vectors.ListVector` can be instanciated from
  any objects with a method `items()` with the expectation that the method
  returns an iterable of (name, value) tuples, or even be an iterable
  of (name, value) tuples.

New features
------------

- For instances of :class:`rpy2.robjects.Function`,
  the `__doc__` is now a property fetching information
  about the parameters in the R signature.

- Convenience function :func:`rpy2.robjects.packages.data`
  to extract the datasets in an R pacakges

- :mod:`ipython`'s `rmagic` is now part of :mod:`rpy`. To use, `%load_ext
  rpy2.ipython` from within IPython.

- new method :meth:`rpy2.rinterface.SexpEnvironment.keys`, returnings
  the names in the environment as a tuple of Python strings.

- convenience class :class:`robjects.packages.InstalledPackages`, with a \ 
companion function
  :func:`robjects.packages.isinstalled`.

- new class :class:`rinterface.SexpSymbol` to represent R symbols

Bugs fixed
----------

- :meth:`rpy2.rinterface.Sexp.do_slot` was crashing when
  the parameter was an empty string (PR #155)

Release 2.3.10
==============

Bugs fixed
----------

- `setup.py build` was broken when new R compiled with OpenMP (Issue #183)

Release 2.3.9
=============

- Changes in pandas 0.13.0 broke the rpy2 conversion layer (Issue #173)

Release 2.3.8
=============

Bugs fixed
----------

- Crash with R-3.0.2. Changes in R-3.0.2's C API coupled to a strange behaviour
  with R promises caused the problem. (PR #150)

Release 2.3.7
=============

Bugs fixed
----------

- ggplot2's "guides" were missing

- ggplot2's "theme_classic" was missing (PR #143)

- ggplot2's "element_rect" was missing (PR #144)

- :func:`rpy2.interactive.packages` was broken (PR #142)

Release 2.3.6
=============

Bugs fixed
----------

- Several reports of segfault on OS X (since rpy2-2.3.1 - PR #109)

- More fixes in converting `DataFrames` with dates from `pandas`

Relase 2.3.5
============

Bugs fixed
----------

- Missing mapping to ggplot2's `scale_shape_discrete` function

- Better handling of dates in Pandas

- Constructor for POSIXct improved (and fixed)

Changes
-------

- The attribute :attr:`rclass` is no longer read-only and can be set
  (since R allows it)

- Importing the module :mod:`rpy2.interactive` no longer activates
  event processing by default (triggering concurrency errors
  when used with ipython).

New features
------------

- New module :mod:`rpy2.interactive.ipython` (so far plotting
  automatically a ggplot2 figure in the iPython's console)

- It is now possible to set the :attr:`rclass`.

Relase 2.3.4
============

Bugs fixed
----------

- Spurious error when running unit tests with Python 3 and numpy
  installed

- Missing mapping to ggplot2's `geom_dotplot` function

- Warnings are not longer printed (see Changes below)

Changes
-------

- Bumped target version of ggplot2 to 0.9.3.1

- Warnings are not longer printed. The C-level function in R became
  hidden in R-3.0, and the cost of an R-level check/print is relatively
  high if the R code called is very short. This might evolve into
  printing warnings only if interactive mode in Python (if this can
  be checked reliably).

Release 2.3.3
=============

Bugs fixed
----------

- Some of the data.frames converted from :mod:`pandas` were triggering
  a :class:`TypeError` when calling :func:`repr`

- In :mod:`rpy2.robjects.lib.ggplot2`, a mapping to `coord_fixed` was
  missing (PR #120)

- Using the parameter `lib_loc` in a call to
  :func:`rpy2.robjects.packages.importr` was resulting in an error (PR #119)

- Creating a `layer` through the `rpy2.robjects.lib.ggplot2` interface did
  not accept parameters (PR #122)

- Testing the Python version was crashing of a number of unsupported Python
  versions (<= 2.6) (PR #117)

New features
------------

- New module pandas2ri to convert from mod:`pandas` `DataFrame` objects

- New classes :class:`rpy2.robjects.lib.grid.Unit` and
  :class:`rpy2.robjects.lib.grid.Gpar` to model their counterparts in
  R's `grid` package as they were previously missing from rpy2.

Release 2.3.2
=============

Bug fixed
---------

- Building on Win64 (pull request #6)

- Fetching data from an R package through `importr` was masking
  any R object called `data` in that package. The data are now
  under the attribute name `__rdata__`. This is not completely
  safe either, although much less likely, a warning will
  be issued if still masking anything.

Changes
-------

- More informative error message when failing to build because `R CMD config`
  does not return what is expected

Release 2.3.1
=============

Bugs fixed
----------

- default console print callback with Python (issue #112 linked to it)

- deprecation warnings with ggplot2 (issue #111 and contributed patch)

Log message:
Requires PCRE.

Log message:
bulk build suggested readline

Log message:
Update to 2.3.0:

Release 2.3.0
=============

New Features
------------

:mod:`rpy2.rinterface`:

- C-level API, allowing other C-level modules to make use of utilities
  without going through the Python level. The exact definition of
  the API is not yet fixed. For now there is
  PyRinteractive_IsInitialized() to assess whether R was initialized
  (through :mod:`rpy2.rinterface` or not).

- C-module _rpy_device, allowing one to implement R graphical devices
  in Python [(very) experimental]

- Tracking of R objects kept protected from garbage collection by rpy2
  is now possible.

- New method :meth:`Sexp.rid` to return the identifier of the R object
  represented by a Python/rpy2 object

:mod:`rpy2.rinteractive`:

- Dynamic build of Python docstrings out of the R manual pages

:mod:`rpy2.robjects.help`:

- Build dynamic help

:mod:`rpy2.robjects.packages:

- Build anonymous R packages from strings

- When using :func:`importr`, the datasets are added as an attribute
  :attr:`data`, itself an instance of a new class :class:`PackageData`.
  It no longer possible to access datasets are regular objects from
  a code package (because of changes in R), and the new system is
  more robust against quirks.

Changes
-------

:mod:`rpy2.rinterface`:

- :attr:`SexpClosure.env` to replace the method `closureenv`.

Release 2.2.6
=============

Bugs fixed
----------

- Newest R-2.15 and ggplot2 0.9 broke the ggplot2 interaface
  in :mod:`rpy2.robjects.lib.ggplot2`

Release 2.2.5
=============

Bugs fixed
----------

- install process: Library location for some of the R installations

- should compile on win32 (thanks to a patch from Evgeny Cherkashin),
   a work to a limited extend

Release 2.2.4
=============

Bugs fixed
----------

- Memory leak when creating R vectors from Python (issue #82)

Release 2.2.3
=============

Bugs fixed
----------

- Dynamic construction of S4 classes was looking for R help as 'class.<class>'
  rather than '<class>-class'

- The cleanup of temporary directories created by R was not happening if
  the Python process terminated without calline :func:`rpy2.rinterface.endr()`
  (issue #68, and proof-of-principle fix by chrish42)

Release 2.2.2
=============

Bugs fixed
----------

- With the robjects layer, repr() on a list containing non-vector elements
  was failing

Release 2.2.1
=============

Bugs fixed
----------

- MANIFEST.in was missing from MANIFEST.in, required with Python 3

Release 2.2.0
=============

New Features
------------

- Support for Python 3, and for some of its features ported to Python 2.7

:mod:`rpy2.robjects`:

- :meth:`Environment.keys` to list the keys

- classes :class:`robjects.vectors.POSIXlt` and
  :class:`robjects.vectors.POSIXlt` to represent vectors of R
  dates/time

- :func:`packages.get_packagepath` to get the path to an R package

- module :mod:`rpy2.robjects.help` to expose the R help system to Python

- Metaclass utilities in :mod:`rpy2.robjects.methods`, allowing to reflect
  automatically R S4 classes as Python classes.

- :meth:`rpy2.robjects.vectors.FactorVector.iter_labels` to iterate over the labels

- :class:`rpy2.robjects.vectors.ListVector` to represent R lists.

- Constructor for :class:`rpy2.robjects.vectors.ListVector` and
  :class:`rpy2.robjects.vectors.DataFrame` accept any iterable at the condition
  that the elements iterated through also valid subscripts for it (e.g., given
  an iterable v, the following is valid:

  .. code-block:: python

     x[k] for x in v

:mod:`rpy2.rinterface`:

- :data:`NA_Complex` and :class:`NAComplexType` for missing complex values.

- :class:`SexpExtPtr` to represent R objects of type EXTPTR (external pointers).

- :func:`rpy2.rinterface.parse` to parse a string a R code

- :func:`rpy2.rinterface.rternalise` to wrap Python function as \ 
:class:`SexpClosure` that can
  be called by R just as it was a function of its own.

- :class:`rpy2.rinterface.RNULLType` for R's C-level NULL value and
  :class:`rpy2.rinterface.UnboundValueType` for R's C-level R_UnboundValue
  (both singletons).

- :meth:`rinterface.SexpVector.index`, of similar behaviour to :meth:`list.index`.

- :meth:`rpy2.rinterface.Sexp.list_attrs` to list the names of all R attributes
  for a given object.

- :class:`rpy2.rinterface.ByteSexpVector` to represent R 'raw' vectors.

- constant `R_LEN_T_MAX` to store what is the maximum length for a vector in R.

- tuple `R_VERSION_BUILD` to store the version of R rpy2 was built against

- getter :attr:`Sexp.rclass` to return the R class associated with an object

:mod:`rpy2.rlike`:

- :class:`container.OrdDict` get proper methods :meth:`keys` and `get`

:mod:`rpy2.interactive`:

- A new sub-package to provide utilities for interactive work, either for
  handling R interactive events or use Python for interactive programming
  (as often done with the R console)

Changes
-------

:mod:`rpy2.robjects`:

- NA_bool, NA_real, NA_integer, NA_character and NA_complex are now
  deprecated (and removed).
  NA_Logical, NA_Real, NA_Integer, NA_Character, NA_Complex should be used.

- :class:`rpy2.robjects.packages.Package` now inherits from :class:`types.ModuleType`

- classes representing R vector also inherit their type-specific
  rinterface-level counterpart.

- Importing the :class:`rpy2.robjects.numpy2ri` is no longer sufficient
  to active the conversion. Explicit activation is now needed; the function
  `activate` can do that.

:mod:`rpy2.rinterface`:

- :class:`IntSexpVector`, :class:`FloatSexpVector`,
  :class:`StrSexpVector`, :class:`BoolSexpVector`, :class:`ComplexSexpVector`
  are now defined at the C level, improving performances
  and memory footprint whenever a lot of instances are created.

Bugs fixed
----------

- Better and more explicit detection system for needed libraries when
  compiling rpy2 (ported to release 2.1.6)

- Long-standing issue with readline fixed (issue #10)

Release 2.1.9
=============

Bugs fixed
----------

- The R class in rpy2.robjects is now truly a singleton

- When using numpy 1.5 and Python >= 2.7, the exposed buffer for R numerical \ 
(double)
  vectors or arrays was wrong.

Release 2.1.8
=============

Bugs fixed
----------

- Fixed issue with R arrays with more than 2 dimensions and numpy arrays
  (issue #47 - backported from the branch 2.2.x).

Release 2.1.7
=============

Bugs fixed
----------

- More fixes for the automated detection of include and libraries at build time.

Release 2.1.6
=============

Bugs fixed
----------

- Further fixes in the automatic detection of includes and libraries
  needed to compile rpy2 against R. The detection code has
  been refactored (backport from the 2.2.x branch)

Release 2.1.5
=============

Bugs fixed
----------

- fixes the automatic detection of R_HOME/lib during building/compiling
  when R_HOME/lib is not in lib/ (issue #54)

Release 2.1.4
=============

New features
------------

- :mod:`rpy2.robjects.lib.ggplot2` now has the functions :func:`limits`,
  :func:`xlim`, :func:`ylim` exposed (patch contributed anonymously)

Bugs fixed
----------

- Install script when the BLAS library used by R is specified as a library
  file (patch by Michael Kuhn)

Log message:
"user-destdir" is default these days

Log message:
If BLAS_LIBS comes back empty, run with it instead of detonating.
This makes it build for me.

Log message:
Fix build on SunOS.