python-futurist 0.5.0-2 source package in Ubuntu
Changelog
python-futurist (0.5.0-2) unstable; urgency=medium * Uploading to unstable. -- Thomas Goirand <email address hidden> Fri, 16 Oct 2015 09:31:19 +0000
Upload details
- Uploaded by:
- PKG OpenStack
- Uploaded to:
- Sid
- Original maintainer:
- PKG OpenStack
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-futurist_0.5.0-2.dsc | 2.7 KiB | 7d23c000ff2d38cf59f266ae7e70b96ff660a958051d716176516198b637996d |
python-futurist_0.5.0.orig.tar.xz | 23.2 KiB | e03139885a9feb727067f57e7a2253b37000474d1343583ba5c0e4cfa0b46f6e |
python-futurist_0.5.0-2.debian.tar.xz | 3.2 KiB | 0ada31111e9c13b7db6f048179506cda37a2d306b200fff436844cd208141fcb |
Available diffs
- diff from 0.5.0-1 to 0.5.0-2 (301 bytes)
No changes file available.
Binary packages built by this source
- python-futurist: useful additions to futures, from the future - Python 2.x
Code from the future, delivered to you in the now. For example:
* A futurist.GreenThreadPool Executor using eventlet green thread pools. It
provides a standard executor API/interface and it also gathers execution
statistics.
* A futurist.ProcessPoolExec utor derivative that gathers execution
statistics.
* A futurist.SynchronousExec utor that doesn’t run concurrently. It has the
same executor API/interface and it also gathers execution statistics.
* A futurist.ThreadPoolExecu tor derivative that gathers execution statistics.
* A futurist.periodics. PeriodicWorker that can use the previously mentioned
executors to run asynchronous work periodically in parallel or
synchronously.
* etc.
.
This package contains the Python 2.x module.
- python-futurist-doc: useful additions to futures, from the future - doc
Code from the future, delivered to you in the now. For example:
* A futurist.GreenThreadPool Executor using eventlet green thread pools. It
provides a standard executor API/interface and it also gathers execution
statistics.
* A futurist.ProcessPoolExec utor derivative that gathers execution
statistics.
* A futurist.SynchronousExec utor that doesn’t run concurrently. It has the
same executor API/interface and it also gathers execution statistics.
* A futurist.ThreadPoolExecu tor derivative that gathers execution statistics.
* A futurist.periodics. PeriodicWorker that can use the previously mentioned
executors to run asynchronous work periodically in parallel or
synchronously.
* etc.
.
This package contains the documentation.
- python3-futurist: useful additions to futures, from the future - Python 3.x
Code from the future, delivered to you in the now. For example:
* A futurist.GreenThreadPool Executor using eventlet green thread pools. It
provides a standard executor API/interface and it also gathers execution
statistics.
* A futurist.ProcessPoolExec utor derivative that gathers execution
statistics.
* A futurist.SynchronousExec utor that doesn’t run concurrently. It has the
same executor API/interface and it also gathers execution statistics.
* A futurist.ThreadPoolExecu tor derivative that gathers execution statistics.
* A futurist.periodics. PeriodicWorker that can use the previously mentioned
executors to run asynchronous work periodically in parallel or
synchronously.
* etc.
.
This package contains the Python 3.x module.