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python3-rpy2-3.2.6-bp156.3.2 RPM for noarch

From OpenSuSE Leap 15.6 for noarch

Name: python3-rpy2 Distribution: SUSE Linux Enterprise 15 SP6
Version: 3.2.6 Vendor: openSUSE
Release: bp156.3.2 Build date: Mon Jul 24 08:17:01 2023
Group: Unspecified Build host: goat47
Size: 1823160 Source RPM: python-rpy2-3.2.6-bp156.3.2.src.rpm
Packager: https://bugs.opensuse.org
Url: https://bitbucket.org/rpy2/rpy2
Summary: A Python interface to the R Programming Language
 
RPy is a Python interface to the R Programming Language. It can
manage all kinds of R objects and can execute arbitrary R functions
(including the graphic functions). All errors from the R language are
converted to Python exceptions. Any module installed for the R system
can be used from Python.

This code is inspired by RSPython from the Omegahat project.

Provides

Requires

License

GPL-2.0-or-later

Changelog

* Mon Feb 10 2020 Todd R <toddrme2178@gmail.com>
  - Update to 3.2.6
    + Bugs fixed
    * The conversion of date/time object with specified timezones
      was wrong when different than the local time zone
    * Iterating over :mod:`rpy2.situation.iter_info()` could result
      in a error because of a typo in the code.
    + Changes
    * :mod:`pandas` 1.0.0 breaks the conversion layer. A warning
      is not emitted whenever trying to use `pandas` >= 1.0.
* Thu Jan 30 2020 Todd R <toddrme2178@gmail.com>
  - Update to 3.2.5
    * Delimit multi-line expressions with parenthesis rather than backslash.
    * Use Rf_initEmbeddedR(), remove setup_Rmainloop() (not necessary, it seems).
  - Update to 3.2.4
    * Fix ABI mode
  - Update to 3.2.3
    * Backport fix for segfault when parsing.
* Wed Nov 27 2019 Todd R <toddrme2178@gmail.com>
  - Update to version 3.2.2
    + Bugs fixed
    * Python format error when trying to report that the system is not reported
      on Windows.
    * The setup script would error on build if R is not installed. It is now
      printing an error message.
  - Update to version 3.2.1
    + Bugs fixed
    * The wrapper for the R package `dbplyr` could not import the underlying
      package (refactoring elsewhere was not propagated there).
    * Creating R objects called `names` `globalenv` caused the method
      :meth:`Sexp.names` to fail.
    * Whenever the pandas conversion was activated :class:`FloatSexpVector` instances
      with the R class `POSIXct` attached where not corrected mapped back to pandas
      datetime arrays..
    * Fix installation when an installation when a prefix without write access is used.
  - Update to version 3.2.0
    + New features
    * rpy2 can built and used with :mod:`cffi`'s ABI or API modes (releases 3.0.x and
      3.1.x were using the ABI mode exclusively). At the time of writing the default
      is still the ABI mode but the choice can be controlled through the environment variable
      `RPY2_CFFI_MODE`. If set, possible values are `ABI` (default if the environment
      variable is not set), `API`, or `BOTH`. When the latter, both `API` and `ABI`
      modes are built, and the choice of which one to use can be made at run time.
    + Changes
    * The "consoleread" callback (reading input to the R console) is now assuming UTF-8
      (was previously assuming ASCII) and is no longer trying to add a "new line" character
      at the end of the input.
    * Querying an R environment with an invalid key will generate a :class:`TypeError`
      or a :class:`ValueError` depending on the issue (rather than always :class:`ValueError`
      before.
    + Bugs fixed
    * `setup.py` is now again compatible with Python2.
    * Unit tests were failing if numpy is not installed.
    * :mod:`rpy2.situation` is no longer breaking when R is not the in path and
      there is no environment variable `R_HOME`.
    * Build script for the cffi interface is now using the environment
      variable `R_HOME` whenever defined (rather that always infer it from the
      R in the PATH).
    * Converting R strings back to Python was incorrectly using `Latin1` while `UTF-8` was
      intended.
  - Update to version 3.1.0
    + New features
    * Python matrix multiplication (`__matmul__` / `@`) added to
      R :class:`Matrix` objects.
    * An :class:`threading.RLock` is added to :mod:`rpy2.rinterface_lib.openrlib` and is
      used by the context manager :func:`rpy2.rinterface_lib.memorymanagement.rmemory`
      to ensure that protect/unprotect cycles cannot be broken by thread switching, at least
      as long as the context manager is used to handle such cycles (see issue #571).
    * The documentation covers the use of notebooks (mainly Jupyter/Jupyterlab).
    * The PNG output in Jupyter notebooks R cells can now specify an argument `--type`
      (passed as the named argument `type` in the R function `png`).
      For example on some Linux systems and R installations, the type `cairo`
      can fix issues when alpha transparency is used.
    + Changes
    * Added callbacks for `ptr_R_Busy()` and `ptr_R_ProcessEvents()`.
    * `rstart` now an objects in :mod:`rpy2.rinterface_lib.embedded`
      (set to `None` until R is initialized).
    * Unit tests are included in a subpackage :mod:`rpy2.tests` as was the
      case before release 3.0.0.
    * Experimental initialization for Microsoft Windows.
    * :mod:`rpy2.situation` is now also reporting the rpy2 version.
    * :func:`rpy2.robjecs.package_utils.default_symbol_check_after` was
      renamed  :func:`rpy2.robjecs.package_utils.default_symbol_resolve`.
      The named parameters `default_symbol_check_after` present in few methods
      in :mod:`rpy2.robjects.packages` and :mod:`rpy2.robjects.functions` were
      modified to keep a consistent naming.
    * Trying to instantiate an :class:`rpy2.rlike.container.OrdDict` with a
      a :class:`dict` will result in a :class:`TypeError` rather than a
      :class:`ValueError`.
    * Methods of :class:`rpy2.rlike.container.OrdDict` now raises a
      :class:`NotImplementedError` when not implemented.
    * The creation of R vectors from Python sequences is now relying on a method
      :meth:`_populate_r_vector` that allows vectorized implementation to
      to improve speed.
    * Continuous integration tests run against Python 3.6, 3.7, and 3.8. It is
      no longer checked against Python 3.5.
    + Bugs fixed
    * `aes` in :mod:`rpy2.robjects.lib.ggplot2` had stopped working with the
      R package ggplot2 reaching version 3.2.0..
    * Better handling of recent :mod:`pandas` arrays with missing values.
    * The mapping of the R operator `%in%` reachable through the attribute `ro`
      of R vectors was always returning `True`. It is now working properly.
    * R POSIXct vectors with `NA` dates were triggering an error when converted
      in a data frame converted to :mod:`pandas`.
* Thu Jul 25 2019 Todd R <toddrme2178@gmail.com>
  - Update to Release 3.0.5
    + Bugs fixed
    * No longer allow installation if Python 3 but < 3.5.
    * Fixed error `undefined symbol: DATAPTR` if R < 3.5.
  - Update to Release 3.0.4
    + Bugs fixed
    * Fixed conversion of `pandas` :class:`Series` of dtype `pandas.Int32Dtype`,
      or `pandas.Int64Dtype`.
  - Update to Release 3.0.3
    + Bugs fixed
    * Fixed the evaluation of R code using the "R magic" was delaying all
      output to the end of the execution of that code, independently of
      whether the attribute `cache_display_data` was `True` or `False`.
    * Fixed conversion of :class:`pandas.Series` of `dtype` "object" when
      all items are either all of the same type or are :obj:`None`.
  - Update to Release 3.0.2
    + Bugs fixed
    * Failing to import `pandas` or `numpy` when loading the "R magic" extension
      for jupyter/ipython was hiding the cause of the error in the `ImportError`
      exception.
    * Fallback when an R `POSIXct` vector does not had an attribute `"tzone"`.
    * Callback for console reset was not set during R initialization.
    * Fixed rternalized function returning rpy2 objects.
    * `--vanilla` is no longer among the default options used to initialize R.
  - Update to Release 3.0.1
    + Bugs fixed
    * Script to install R packages for docker image never made it to version
      control.
    * Conversion of R arrays/matrices into numpy object trigged a segfault
      during garbage collection.
  - Update to Release 3.0.0
    + New features
    * rpy2 can be installed without a development environment.
    * Unit tests are now relying on the Python module `pytest`.
    * :attr:`rpy2.rinterface.NA_Integer` is now only defined when the embedded R
      is initialized.
    + Changes
    * complete rewrite of :mod:`rpy2.rinterface`.
      :mod:`cffi` is now used to interface with the R compiled shared library.
      This allows ABI calls and removes the need to compile binaries. However, if
      compilation is available (when installing or preparing pre-compiled binaries)
      faster implementations of performance bottlenecks will be available.
    * calling :func:`rpy2.rinterface.endr` multiple times is now only ending R
      the first time it is called (note: an ended R cannot successfully be
      re-initialized).
    * The conversion system in the mod:`rpy2.robjects.conversion` now has only
      two conversions `py2rpy` and rpy2py`. `py2rpy` tries to convert any
      Python object into an object rpy2 can use with R and `rpy2py` tries
      to convert any rpy2 object into a either a non-rpy2 Python object or
      a mod:`rpy2.robjects` level object.
    * The method `get` for R environments is now called `find()` to avoid
      confusion with the method of the same name in Python (:meth:`dict.get`).
    * :class:`rpy2.robjects.vectors.Vector`, :class:`rpy2.robjects.vectors.Matrix`,
      and :class:`rpy2.robjects.vectors.Array` can no longer be used to create
      R arrays of unspecified type. New type-specific classes (for example for
      vectors :class:`rpy2.robjects.vectors.IntVector`,
      :class:`rpy2.robjects.vectors.BoolVector`,
      :class:`rpy2.robjects.vectors.FloatVector`,
      :class:`rpy2.robjects.vectors.ComplexVector`, or
      :class:`rpy2.robjects.vectors.StrVector`) should be used instead.
    * mod:`rpy2.rpy_classic`, an implementation of the `rpy` interface using
      :mod:`rpy2.rinterface` is no longer available.
    * :class:`rpy2.robjects.ParsedCode` and
      :class:`rpy2.robjects.SourceCode` are moved to
      :class:`rpy2.robjects.packages.ParsedCode` and
      :class:`rpy2.robjects.packages.SourceCode`.
    + Bugs fixed
    * Row names in R data frames were lost when converting to pandas data frames.
    + Known issues
    * Mismatch between R's POSIXlt `wday` and Python time struct_time's `tm_wday`.
  - Update to Release 2.9.6
    + Bugs fixed
    * Latest release of :mod:`pandas` deprecated :meth:`DataFrame.from_items`.
    * Latest release of :mod:`pandas` requires categories to be a list
      (not an other sequence).
    + Known issues
    * The numpy buffer implemented by R arrays is broken for complex numbers
* Mon Dec 03 2018 Todd R <toddrme2178@gmail.com>
  - Update to 2.9.5
    * Missing values in pandas :class:`Category` series were creating
      invalid R factors when converted (issue #493).
* Tue Aug 14 2018 schwab@suse.de
  - Remove unused dependencies on blas libraries
  - Don't exclude post-build-checks
* Wed Aug 08 2018 toddrme2178@gmail.com
  - Update to 2.9.4
    * Fallback for failure to import numpy or pandas is now dissociated from
      failure to import :mod:`numpy2ri` or :mod:`pandas2ri` (issue #463).
    * :func:`repr` for R POSIX date/time vectors is now showing a string
      representation of the date/time rather than the timestamp as a float
      (issue #467).
    * The HTML representation of R data frame (the default representation in the
      Jupyter notebook) was displaying an inconsistent number of rows
      (found while workin on issue #466).
    * Handle time zones in timezones in Pandas when converting to R data frames
      (issue #454).
    * When exiting the Python process, the R cleanup is now explicitly request
      to happen before Python's exit. This is preventing possible segfaults
      the process is terminating (issue #471).
    * dplyr method `ungroup()` was missing from
      :class:`rpy2.robjects.lib.dplyr.DataFrame` (issue #473).
* Fri May 18 2018 jengelh@inai.de
  - Ensure neutrality of description. Trim future goals from
    description.
* Fri May 11 2018 toddrme2178@gmail.com
  - Fix license
* Thu May 03 2018 toddrme2178@gmail.com
  - Use %license tag
* Thu May 03 2018 toddrme2178@gmail.com
  - Update to version 2.9.3
    * Delegate finding where is local time zone file to either a user-specified
      module-level variable `default_timezone` or to the third-party
      module :mod:`tzlocal` (issue #448).
  - Update to version 2.9.2
    + Changes
    * The pandas converter is converting :class:`pandas.Series` of `dtype` `"O"`
      to :class:`rpy2.robjects.vectors.StrVector` objects, issueing a warning
      about it (See issue #421).
    * The conversion of pandas data frame is now working with columns rather
      than rows (introduce in bug fix for issue #442 below) and this is expected
      to result in more efficient conversions.
    + Bugs fixed
    * Allow floats in figure sizes for R magic (Pull request #63)
    * Fixed pickling unpickling of robjects-level instances,
      regression introduced in fix for issue #432 with release 2.9.1 (issue #443).
    * Fixed broken unit test for columns of `dtype` `"O"` in `pandas` data frames.
    * Fixed incorrect conversion of R factors in data frames to columns of
      integers in pandas data frame (issue #442).
  - Update to version 2.9.1
    + Changes
    * Fixing issue #432 (see Section Bugs fixed below) involved removed the method
      `__reduce__` previously provided for all rpy2 objects representing R objects.
    + Bugs fixed
    * An error when installing with an unsupported R version was fixed (issue #420).
    * The docstring for `rinterface.endr()` was improperly stating that the function was not taking
      any argument (issue #423).
    * Target version of dplyr and tidyr are now 0.7.4 and 0.7.2 respectively.
    * Fixed memory leak when pickling objects (issue #432). Fixing the leak caused a
      slight change in the API (see Section Changes above).
    * Conversion to :mod:`pandas` now handling R ordered factor (issue #398).
      :mod:`jinja2` was not listed as a dependency (issue #437).
* Wed Aug 23 2017 toddrme2178@gmail.com
  - Implement single-spec version
  - Update to version 2.9.0
    * See changes at https://bitbucket.org/rpy2/rpy2/src/33ae1887a9cf3b624ea03b389835cd7a91cb815a/NEWS?at=RELEASE_2_9_0&fileviewer=file-view-default
* Mon May 09 2016 toddrme2178@gmail.com
  - Update to version 2.7.9
    * Python objects exposed to R could lead to segfault when the Python process is
      exiting (issue #331)
  - specfile:
    * updated source url to files.pythonhosted.org
  - update to version 2.7.8:
    * New class :class:`rpy2.robjects.SourceCode`. The class extends
      Python's :class:`str` and is meant to represent R source code. An
      HTML renderer for the ipython notebook (syntax highlighting using
      :mod:`pygment` is also added).
    * New module :mod:`rpy2.robjects.lib.tidyr` providing a custom
      wrapper for the R library `tidyr`
    * The long-deprecated functions
      :func:`rpy2.rinterface.set_writeconsole` and
      :func:`rpy2.rinterface.get_writeconsole` are no longer
      available. One of :func:`rpy2.rinterface.set_writeconsole_regular`
      / :func:`rpy2.rinterface.set_writeconsole_warnerror` or
      :func:`rpy2.rinterface.get_writeconsole_regular` /
      :func:`rpy2.rinterface.get_writeconsole_warnerror` respectively
      should be used instead.
    * The attribute :attr:`rpy2.robjects.RObject.slots` can now be
      implictly interated on (the method :meth:`__iter__` is now an
      alias for :meth:`keys`).
  - specfile:
    * update copyright year
  - update to version 2.7.7:
    * Pickling `robjects`-level objects resulted in `rinterface`-level
      objects when unpickled (issue #324).
  - changes from version 2.7.6:
    * :mod:`rpy2.robjects.lib.ggplot2` was modified to match the newly
      released ggplot2-2.0.0. This is introducing API-breaking changes,
      which breaks the promise to keep the API stable through bugfix
      releases within series, but without it 2.7.x will not a work with
      new default installation of the R package ggplot2.
  - changes from version 2.7.5:
    * Division and floordivision through the delegator `.ro` provided
      with R vectors wrapped by `robjects`. (issue #320)
    * Memory leak when unserializing (unpickling) R objects bundled in
      Python objects (issue #321)
  - update to version 2.7.4:
    * Python 3.5 highlighted slightly incorrect C-level flags in rpy2
      objects declarations, and :mod:`rpy2.robjects` could not be
      imported.
    * Fixed unit tests for rmagic when :mod:`numpy` is not installed,
      and for :mod:`numpy` is installed by :mod:`pandas` in missing.
  - update to version 2.7.3:
    * method :meth:`DataFrame.collect` in :mod:`rpy2.robjects.lib.dplyr`
      was not functioning.
    * Applied patch by Matthias Klose to fix implict pointer
      conversions.
    * :mod:`pandas2ri.ri2py_dataframe` is now propagating the row names
      in the R data frame into an index in the pandas data frame (issue
      [#285])
    * methods `union`, `intersect`, `setdiff`, `ungroup` defined in the
      R package `dplyr` were missing from the `DataFrame` definition in
      :mod:`rpy2.robjects.lib.dplyr`
  - update to version 2.7.2:
    * methods `distinct`, `sample_n`, and `sample_frac` defined in the R
      package `rplyr` were missing from the `DataFrame` definition in
      :mod:`rpy2.robjects.lib.dplyr`
    * The fix for the inheritance problem with
      :mod:`rpy2.robjects.lib.dplyr.DataFrame` introduced a regression
      whenever `group_by` is used.
    * The methods to perform joins on dplyr `DataFrame` objects where
      not working properly.
  - update to version 2.7.1:
    * The :meth:`__repr__` for :mod:`robjects`-level vectors was broken
      for vectors of length 1 (issue #306)
    * The ipython notebook-based sections of the documentation
      were not building
    * Classes inheriting from :mod:`dplyr.DataFrame` had dplyr methods
      returning objects of their parent class.
  - specfile:
    * check for R-version >= 3.2
  - update to version 2.7.0:
    * New exception :class:`rpy2.rinterface.RParsingError`. Errors
      occurring when parsing R code through
      :func:`rpy2.rinterface.parse` raise this exception (previously
      :class:`rpy2.rinterface.RRuntimeError`).
    * New class :class:`rpy2.robjects.conversion.Converter` to replace
      the `namedtuple` of the same name
    * New class :class:`rpy2.robjects.converter.ConversionContext`. This
      is a context manager allowing an easy setting of local conversion
      rules.  The constructor has an alias called
      :meth:`rpy2.robjects.constructor.localconverter`.
    * New module :mod:`rpy2.robjects.lib.dplyr` providing a custom
      wrapper for the R library `dplyr`
    * Method :method:`Environment.items()` to iterate through the
      symbols and associated objects in an R environment.
    * Exception :class:`rpy2.rinterface.ParsingIncompleError`, a child
      class of :class:`rpy2.rinterface.ParsingError`, raised when
      calling :meth:`rpy2.rinteface.parse` results in R's C-level status
      to be `PARSE_INCOMPLETE`. This can make the Python implementation
      of an IDE for R easier.
    * Attribute :attr:`slots` for :mod:`rpy2.robjects`-level
      objects. The attribute is a :class:`rpy2.robjects.Rslots` which
      behaves like a Python mapping to provide access to R-attributes
      for the object (see issue #275).
    * The R "magic" for ipython `%%R` can be passed a local converter
      (see new features above) by using `-c`.
    * Conversion  rules were  not  applied when  parsing and  evaluating
      string as R with :class:`rpy2.robjects.R`.
    * Calling the constructor for
      :class:`rpy2.robjects.vectors.FactorVector` with an R factor is no
      longer making a copy, loosing the associated R attributes if any
      (fixes issue #299).
    * `rpy2` could crash when R was unable to dynamically load the C
      extension for one of its packages (noticed with issue #303).
    * :func:`rpy2.rinterface.is_initialized` is now a function.
    * :meth:`rpy2.robjects.R.__call__` is now calling R's
      `base::parse()` to parse the string rather the parser through R's
      C-API. The workaround let's us retrieve R's error message in case
      of failure (see issue #300)
  - changes from version 2.6.3:
    * Metaclass `RS4Auto_Type` facilitating the creation of Python
      classes from R S4 classes was not handling classes without methods
      (issue #301)
  - update to version 2.6.2:
    * Check that R >= 3.2 is used at build time (issue #291)
    * Conversion rules were not applied when parsing and evaluating
      string as R code with :class:`rpy2.robjects.R`.
  - update to version 2.6.1:
    * Because of their long names, the classes
      :class:`SignatureTranslatedAnonymousPackage`,
      :class:`SignatureTranslatedPackage`, and
      :class:`SignatureTranslatedFunction` in
      :mod:`rpy2.robjects.packages` have now the aliases :class:`STAP`,
      :class:`STP`, and :class:`STF` respectively.
    * Typo in function name emitting warnings at build time (issue #283)
    * The conversion of `TaggedList` instances is now handling the names
      of items in the list (issue #286)
    * Loading the `ipython` extension in the absence of `pandas` or
      `numpy` is now issuing a warning (issue #279)
  - update to version 2.6.0:
    * Report the existence during build time of a file `.Renviron`, or
      the definition of the environment variables `R_ENVIRON' or
      `R_ENVIRON_USER` with a warning. (issue #204)
    * Moved console writting callback to use `ptr_R_WriteConsoleEx`
      rather than `ptr_R_WriteConsole`. This allows callbacks for
      warnings and messages. `get/set_writeconsole` is now replaced by
      `get/set_writeconsole_regular` (regular output) and
      `get/set_writeconsole_warnerror` (warning and error).  In order to
      conserve backward compatibility an alias for
      `get/set_writeconsole_regular` called `get/set_writeconsole` is
      provided.
    * Added callback for `ptr_R_ResetConsole`.
    * `pandas` :class:`Categorical` objects are automatically handled in
      the pandas converter.
    * The translation of R symbols into Python symbols used in `importr`
      and underlying classes and methods can be customized with a
      callback.  The default translation turning `.` into `_` is
      `default_symbol_r2python`.
    * Translation of named arguments in R function is now sharing code
      with the translation of R symbols (see point above), providing a
      consistent way to perform translations.
    * Utility function `sequence_to_vector` in `robjects` to convert
      Python sequences (e.g., `list` or `tuple`) to R vector without
      having to specify the type (the type is inferred from the list).
    * `robjects.vectors` object have a property :attr:`NAvalue`
      that contains the `NA` value for the vector, allowing generic code
      on R vectors.  For example, testing whether any vector contains
      `NA` can be written as `any(x is myvector.NAvalue for x in
      myvector)`. Making numpy /masked/ array is an other application.
    * Changes
      + The automatic name translation from R to Python used in
      `importr` is now slightly more complex. It will not only
      translate `.` to `_` but should a conflict arise from the
      existence in R of both the `.` and `_` versions the `.` version
      will be appended a `_` (in accordance with :pep:0008). The
      change was discussed in issue #274).
      + The ipython 'R magic' is now starting with a default conversion
      mode that is `pandas2ri` if it can find it, then `numpy2ri` if
      it can find it, and then the basic conversion.
      + R vectors are now typed at the C level (IntSexpVector,
      FloatSexpVector, ListSexpVector, etc...) whenever retrieving
      them from the embedded R with the low-level `rinterface`. This
      is facilitating dispatch on vector type (e.g., with
      `singledispatch` now used for the conversion system).
    * Bugs fixed
      + The evaluation of R code through R's C-level function `tryEval`
      caused console output whenever an error occurred. Moving to the
      seemingly experimental `tryEvalSilent` makes evaluations less
      verbose.
      + Multiple plots in one ipython cell (pull request #44)
  - changes from version 2.5.7:
    * "simplegeneric" was moved of ipython 4.0.0 (pull request #43)
* Sun May 24 2015 toddrme2178@gmail.com
  - Update to version 2.5.6
    - 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)
  - Update to version 2.5.5
    - 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)
* Tue Jan 13 2015 toddrme2178@gmail.com
  - specfile:
    * update copyright year
    * README -> README.md
  - update to version 2.5.4:
    * 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)
  - changes to version 2.5.3:
    * 'setup.py' has 'install_requires' in addition to 'requires' in the
      hope to fix the missing dependency with Python 2
      ('singledispatch' is required but not installed).
    * 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.
  - changes to version 2.5.2:
    * String representation of '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)
  - changes to version 2.5.1:
    * 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 'singledispatch' cannot be imported (issue #235)
  - changes to version 2.5.0:
    * Experimental alternative way to preserve R objects from garbage
      collection.  This can be activated with
      'rinterface.initr(r_preservehash=True)' (default is 'False'.
    * 'GGPlot' object getting a method 'save' mirroring R's
      'ggplot2::ggsave()'.
    * The conversion system is now using generics/single dispatch.
    * New module 'rpy2.ipython.html' with HTML display for rpy2 objects
    * [Experimental] New function 'robjects.methods.rs4instance_factory'
      to type RS4 objects with more specificity.
    * The script 'setup.py' was rewritten for clarity and ease of
      maintenance.  Now it only uses 'setuptools'.
  - changes to version 2.4.4:
    * 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)
  - changes to version 2.4.3:
    * '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
    * Bugs fixed
    - Changes in pandas 0.13.0 broke the rpy2 conversion layer (Issue #173)

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Fabrice Bellet, Tue Jul 9 19:58:50 2024