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Author SHA1 Message Date
Mathieu Arnold
551be3c723 Convert Python ports to FLAVORS.
Ports using USE_PYTHON=distutils are now flavored.  They will
  automatically get flavors (py27, py34, py35, py36) depending on what
  versions they support.

  There is also a USE_PYTHON=flavors for ports that do not use distutils
  but need FLAVORS to be set.  A USE_PYTHON=noflavors can be set if
  using distutils but flavors are not wanted.

  A new USE_PYTHON=optsuffix that will add PYTHON_PKGNAMESUFFIX has been
  added to cope with Python ports that did not have the Python
  PKGNAMEPREFIX but are flavored.

  USES=python now also exports a PY_FLAVOR variable that contains the
  current python flavor.  It can be used in dependency lines when the
  port itself is not python flavored.  For example, deskutils/calibre.

  By default, all the flavors are generated.  To only generate flavors
  for the versions in PYTHON2_DEFAULT and PYTHON3_DEFAULT, define
  BUILD_DEFAULT_PYTHON_FLAVORS in your make.conf.

  In all the ports with Python dependencies, the *_DEPENDS entries MUST
  end with the flavor so that the framework knows which to build/use.
  This is done by appending '@${PY_FLAVOR}' after the origin (or
  @${FLAVOR} if in a Python module with Python flavors, as the content
  will be the same).  For example:

    RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}six>0:devel/py-six@${PY_FLAVOR}

PR:		223071
Reviewed by:	portmgr, python
Sponsored by:	Absolight
Differential Revision:	https://reviews.freebsd.org/D12464
2017-11-30 15:50:30 +00:00
Martin Wilke
177c8291a7 bx-python is a python library and associated set of scripts to allow for rapid
implementation of genome scale analyses. The library contains a variety of
useful modules, but the particular strengths are:

Classes for reading and working with genome-scale multiple local alignments
(in MAF, AXT, and LAV formats). Generic data structure for indexing on disk
files that contain blocks of data associated with intervals on various
sequences (used, for example, to provide random access to individual
alignments in huge files; optomized for use over network filesystems).
Data structures for working with intervals on sequences:
 * "Binned bitsets" which act just like chromosome sized bit arrays,
   but lazily allocate regions and allow large blocks of all set or
   all unset bits to be stored compactly
 * "Intersecter" for performing fast intersection tests that preserve
   both query and target intervals and associated annotation

WWW: https://github.com/bxlab/bx-python

PR:		218757
Submitted by:	Yuri Victorovich <yuri@rawbw.com>
2017-05-06 06:07:03 +00:00