python-futurist 1.4.0-0ubuntu1 source package in Ubuntu
Changelog
python-futurist (1.4.0-0ubuntu1) bionic; urgency=medium * New upstream release. * d/control: Align (Build-)Depends with upstream. -- Corey Bryant <email address hidden> Wed, 15 Nov 2017 09:53:15 -0500
Upload details
- Uploaded by:
- Corey Bryant
- Uploaded to:
- Bionic
- Original maintainer:
- Ubuntu Developers
- Architectures:
- all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-futurist_1.4.0.orig.tar.gz | 40.0 KiB | 5bcb79e46effdac708159558cd62c7416042324f8e7533f95577e60f83cb826a |
python-futurist_1.4.0-0ubuntu1.debian.tar.xz | 3.7 KiB | 5abe81ed6052054d8eb0f77c66d10c6e74885857d30d4b6b68ee3a63d79cfc24 |
python-futurist_1.4.0-0ubuntu1.dsc | 3.0 KiB | 186ce72dcd8a7c6dc0bbeaedc60e45b0f7ade2fc64ba37de15b7c3a7695e7544 |
Available diffs
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.