|Commit History - (may be incomplete: see SVNWeb link above for full details)
|25 Apr 2019 10:25:19
sysutils/py-execnet: Update to 1.6.0
|20 Jun 2018 17:05:44
Use PY_FLAVOR for dependencies.
FLAVOR is the current port's flavor, it should not be used outside of
Sponsored by: Absolight
|30 Nov 2017 15:50:34
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(Only the first 15 lines of the commit message are shown above )
|07 Jun 2017 15:21:19
[NEW] sysutils/py3-execnet: Create Python 3.x version of port
The latest www/py-requests update  unbundled its dependencies, now
requiring chardet, idna, urllib3 and certifi from ports.
www/py3-requests port was not tested during QA, which would have highlighted
the need for many new py3-* ports (and their dependencies).
This change creates one of those ports.
|05 Apr 2017 13:37:07
Update to 1.4.1
- Add LICENSE_FILE
- Add NO_ARCH
- Sort USE_PYTHON
- Allow concurrent installation (USE_PYTHON=concurrent)
- Update WWW: SSL certificate has expired in Nov, 2014
Submitted by: sunpoet (myself)
Approved by: koobs (maintainer)
|24 Oct 2014 16:56:10
- Convert ports of sysutils/ to new USES=python
Approved by: portmgr (implicit)
|07 Jul 2014 12:55:49
[NEW] sysutils/py-execnet: Distributed Python deployment and communication
execnet provides a share-nothing model with channel-send/receive communication
for distributing execution across many Python interpreters across version,
platform and network barriers. It has a minimal and fast API targetting the
* Distribute tasks to (many) local or remote CPUs
* Write and deploy hybrid multi-process applications
* Write scripts to administer multiple environments