Changelog

2.1.1

(2021-08-26)

  • Fixed a bug with newer versions of tqdm. The progress bar would throw an AttributeError when connected to a dashboard.

  • README and documentation updated

2.1.0

(2021-08-06)

  • Workers now have their own task queue, which speeds up tasks with bigger payloads

  • Fixed progress bar showing error information when completed without error

  • Fixed progress bar and worker insights not displaying properly when using threading

  • Progress bar handling improved accross several scenarios

  • Dashboard can now handle progress bars when using spawn or forkserver as start method

  • Added closing of multiprocessing.JoinableQueue objects, to clean up intermediate junk

  • Removed numpy dependency

  • Made dill optional again. In many cases it slows processing down

2.0.0

(2021-07-07)

  • Worker insights added, providing users insight in multiprocessing efficiency

  • worker_init and worker_exit parameters added to each map function

  • max_active_tasks is now set to n_jobs * 2 when max_active_tasks=None, to speed up most jobs

  • n_splits is now set to n_jobs * 64 when both chunk_size and n_splits are None

  • Dashboard ports can now be configured

  • Renamed func_pointer to func in each map function

  • Fixed a bug with the threading backend not terminating correctly

  • Fixed a bug with the progress bar not showing correctly in notebooks

  • Using multiprocess is now the default

  • Added some debug logging

  • Refactored a lot of code

  • Minor bug fixes, which should make things more stable.

  • Removed Python 3.5 support

  • Removed add_task, get_result, insert_poison_pill, stop_workers, and join functions from mpire.WorkerPool. Made start_workers private. There wasn’t any reason to use these functions.

1.2.2

(2021-04-23)

  • Updated documentation CSS which fixes bullet lists not showing properly

1.2.1

(2021-04-22)

  • Updated some unittests and fixed some linting issues

  • Minor improvements in documentation

1.2.0

(2021-04-22)

  • Workers can be kept alive in between consecutive map calls

  • Setting CPU affinity is no longer restricted to Linux platforms

  • README updated to use RST format for better compatibility with PyPI

  • Added classifiers to the setup file

1.1.3

(2020-09-03)

  • First public release on Github and PyPi

1.1.2

(2020-08-27)

  • Added missing typing information

  • Updated some docstrings

  • Added license

1.1.1

(2020-02-19)

  • Changed collections.Iterable to collections.abc.Iterable due to deprecation of the former

1.1.0

(2019-10-31)

  • Removed custom progress bar support to fix Jupyter notebook support

  • New progress_bar_position parameter is now available to set the position of the progress bar when using nested worker pools

  • Screen resizing is now supported when using a progress bar

1.0.0

(2019-10-29)

  • Added the MPIRE dashboard

  • Added threading as a possible backend

  • Progress bar handling now occurs in a separate process, instead of a thread, to improve responsiveness

  • Refactoring of code and small bug fixes in error handling

  • Removed deprecated functionality

0.9.0

(2019-03-11)

  • Added support for using different start methods (‘spawn’ and ‘forkserver’) instead of only the default method ‘fork’

  • Added optional support for using dill in multiprocessing by utilizing the multiprocess library

  • The mpire.Worker class is no longer directly available

0.8.1

(2019-02-06)

  • Fixed bug when process would hang when progress bar was set to True and an empty iterable was provided

0.8.0

(2018-11-01)

  • Added support for worker state

  • Chunking numpy arrays is now done using numpy slicing

  • mpire.WorkerPool.map() now supports automatic concatenation of numpy array output

0.7.2

(2018-06-14)

  • Small bug fix when not passing on a boolean or tqdm object for the progress_bar parameter

0.7.1

(2017-12-20)

  • You can now pass on a dictionary as an argument which will be unpacked accordingly using the **-operator.

  • New function mpire.utils.make_single_arguments() added which allows you to create an iterable of single argument tuples out of an iterable of single arguments

0.7.0

(2017-12-11)

  • mpire.utils.chunk_tasks() is now available as a public function

  • Chunking in above function and map functions now accept a n_splits parameter

  • iterable_of_args in map functions can now contain single values instead of only iterables

  • tqdm is now available from the MPIRE package which automatically switches to the Jupyter/IPython notebook widget when available

  • Small bugfix in cleaning up a worker pool when no map function was called

0.6.2

(2017-11-07)

  • Fixed a second bug where the main process could get unresponsive when an exception was raised

0.6.1

(2017-11-06)

  • Fixed bug where sometimes exceptions fail to pickle

  • Fixed a bug where the main process could get unresponsive when an exception was raised

  • Child processes are now cleaned up in parallel when an exception was raised

0.6.0

(2017-11-03)

  • restart_workers parameter is now deprecated and will be removed from v1.0.0

  • Progress bar functionality added (using tqdm)

  • Improved error handling in user provided functions

  • Fixed randomly occurring BrokenPipeErrors and deadlocks

0.5.1

(2017-10-12)

  • Child processes can now also be pinned to a range of CPUs, instead of only a single one. You can also specify a single CPU or range of CPUs that have to be shared between all child processes

0.5.0

(2017-10-06)

  • Added CPU pinning.

  • Default number of processes to spawn when using n_jobs=None is now set to the number of CPUs available, instead of cpu_count() - 1

0.4.0

(2017-10-05)

  • Workers can now be started as normal child processes (non-deamon) such that nested mpire.WorkerPool s are possible

0.3.0

(2017-09-15)

0.2.0

(2017-06-27)

  • Added docs

0.1.0

First release