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Requires PCRE.
2014-05-13 19:09:21 +02:00
# $NetBSD: Makefile,v 1.33 2014/05/13 17:09:21 joerg Exp $
Initial import of py-rpy-0.3. Package provided by Kent Polk <kent@goathill.org> in personal email. RPy is a very simple, yet robust, 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 the errors from the R language are converted to Python exceptions. Any modules that later were installed on the R system, can easily be used from within Python, without introducing any changes.
2002-12-10 13:30:58 +01:00
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)
2014-01-19 23:50:43 +01:00
DISTNAME= rpy2-2.3.0
PKGNAME= ${PYPKGPREFIX}-${DISTNAME:S/rpy2/rpy/}
add python as category ok'd a while back at pkgsrcCon by agc and wiz
2004-07-22 11:15:59 +02:00
CATEGORIES= math python
Whitespace cleanup, courtesy of pkglint. Patch provided by Sergey Svishchev in private mail.
2007-02-22 20:26:05 +01:00
MASTER_SITES= ${MASTER_SITE_SOURCEFORGE:=rpy/}
Initial import of py-rpy-0.3. Package provided by Kent Polk <kent@goathill.org> in personal email. RPy is a very simple, yet robust, 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 the errors from the R language are converted to Python exceptions. Any modules that later were installed on the R system, can easily be used from within Python, without introducing any changes.
2002-12-10 13:30:58 +01:00
Point MAINTAINER to pkgsrc-users@NetBSD.org in the case where no developer is officially maintaining the package. The rationale for changing this from "tech-pkg" to "pkgsrc-users" is that it implies that any user can try to maintain the package (by submitting patches to the mailing list). Since the folks most likely to care about the package are the folks that want to use it or are already using it, this would leverage the energy of users who aren't developers.
2006-03-04 22:28:51 +01:00
MAINTAINER= pkgsrc-users@NetBSD.org
Whitespace cleanup, courtesy of pkglint. Patch provided by Sergey Svishchev in private mail.
2007-02-22 20:26:05 +01:00
HOMEPAGE= http://rpy.sourceforge.net/
Initial import of py-rpy-0.3. Package provided by Kent Polk <kent@goathill.org> in personal email. RPy is a very simple, yet robust, 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 the errors from the R language are converted to Python exceptions. Any modules that later were installed on the R system, can easily be used from within Python, without introducing any changes.
2002-12-10 13:30:58 +01:00
COMMENT= R interface for Python
Add missing LICENSE. From README: RPy2 is subject to the Mozilla Public License Version 1.1 (the "License"); you may not use RPy2 except in compliance with the License. You may obtain a copy of the License at http://www.mozilla.org/MPL/ (or see the file MPL_LICENSE) Software distributed under the License is distributed on an "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or implied. See the License for the specific language governing rights and limitations under the License. The Original Code is the RPy2 python package, itself subdivived into subpackages and modules. All code is Copyright of the respective author(s). See the file AUTHORS for further details regarding authorship. Alternatively, RPy2 may be used under the terms of either the GNU General Public License Version 2 or later (the "GPL", see the file GPL_LICENSE), or the GNU Lesser General Public License Version 2.1 or later (the "LGPL", see the file LGPL_LICENSE), in which case the provisions of the GPL or the LGPL are applicable instead of those above. If you wish to allow use of your version of this file only under the terms of either the GPL or the LGPL, and not to allow others to use your version of this file under the terms of the MPL, indicate your decision by deleting the provisions above and replace them with the notice and other provisions required by the GPL or the LGPL. If you do not delete the provisions above, a recipient may use your version of this file under the terms of any one of the MPL, the GPL or the LGPL.
2011-06-29 23:18:08 +02:00
LICENSE= mpl-1.1 OR gnu-gpl-v2 OR gnu-lgpl-v2.1
Initial import of py-rpy-0.3. Package provided by Kent Polk <kent@goathill.org> in personal email. RPy is a very simple, yet robust, 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 the errors from the R language are converted to Python exceptions. Any modules that later were installed on the R system, can easily be used from within Python, without introducing any changes.
2002-12-10 13:30:58 +01:00
"fortran" -> "fortran77" except where it is clear that it isn't F77. "fortran" is alias of "fortran77" for now, but it will change later.
2010-07-30 12:36:22 +02:00
USE_LANGUAGES+= c fortran77
Initial import of py-rpy-0.3. Package provided by Kent Polk <kent@goathill.org> in personal email. RPy is a very simple, yet robust, 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 the errors from the R language are converted to Python exceptions. Any modules that later were installed on the R system, can easily be used from within Python, without introducing any changes.
2002-12-10 13:30:58 +01:00
Update py-rpy to 2.1.3 Works with recent R and recent python.
2010-06-09 23:04:26 +02:00
BUILDLINK_API_DEPENDS.R+= R>=2.11.0
Deal with two digit R --version output. Still mark as broken because it depends on a no-longer existing header.
2010-02-15 17:32:20 +01:00
Fix build on SunOS.
2011-09-14 19:19:18 +02:00
LDFLAGS.SunOS+= -mimpure-text
Requires PCRE.
2014-05-13 19:09:21 +02:00
.include "../../devel/pcre/buildlink3.mk"
bulk build suggested readline
2014-02-26 11:38:07 +01:00
.include "../../mk/readline.buildlink3.mk"
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)
2014-01-19 23:50:43 +01:00
.include "../../lang/python/distutils.mk"
Update py-rpy to 2.1.3 Works with recent R and recent python.
2010-06-09 23:04:26 +02:00
.include "../../math/py-numpy/buildlink3.mk"
Convert to buildlink3.
2004-04-27 23:26:08 +02:00
.include "../../math/R/buildlink3.mk"
Initial import of py-rpy-0.3. Package provided by Kent Polk <kent@goathill.org> in personal email. RPy is a very simple, yet robust, 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 the errors from the R language are converted to Python exceptions. Any modules that later were installed on the R system, can easily be used from within Python, without introducing any changes.
2002-12-10 13:30:58 +01:00
.include "../../mk/bsd.pkg.mk"
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