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comment	@# @;


1.15
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desc
@@


1.15
log
@py-ipyparallel: updated to 9.2.0

9.2.0 updates JupyterLab extension dependencies and removes some use of deprecated APIs in ipykernel.
@
text
@@@comment $NetBSD: PLIST,v 1.14 2026/03/11 12:39:09 adam Exp $
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@


1.14
log
@py-ipyparallel: updated to 9.1.0

9.1.0 introduces a new task labeling feature for filtering task results
@
text
@d1 1
a1 1
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d166 2
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@


1.13
log
@py-ipyparallel: updated to 9.0.2

9.0.2 fixes compatibility with upcoming ipykernel 7 (as of alpha 3).
@
text
@d1 1
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@


1.12
log
@py-ipyparallel: updated to 9.0.1

9.0.1 fixes compatibility with IPython 9.0.
@
text
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@


1.11
log
@py-ipyparallel: updated to 9.0.0

IPython Parallel 9 is a small major release.

The biggest new feature highlight is Windows support for SSHLauncher.

Fixes:

- Fix for background-thread output going to the wrong cell in a notebook.

Other changes:

- Compatibility fixes for upcoming ipykernel 7 (ipykernel 6.9.1 is now required)
- JupyterLab extension dependencies are updated from 3.x to JupyterLab 4.3
- Use `importlib.metadata` instead of deprecated `entrypoints` (no effect for users)
@
text
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d166 2
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@


1.10
log
@py-ipyparallel: updated to 8.8.0

8.8.0 - 2024-04-02

New:

- `BroadcastView.map` is defined for API compatibility, but is not particularly efficient or recommended.

Fixed:

- `AsyncResult.join` is fixed.

Improved:

- Performance optimization disabling timestamp parsing in `jupyter_client` is not applied until ipyparallel classes are instantiated,
  rather than at import time.
@
text
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@


1.9
log
@py-ipyparallel: updated to 8.7.0

8.7.0 - 2024-03-04

8.7 is a small release, with a few improvements and updates, mostly related to
compatibility with different versions of JupyterLab, Notebook, and Jupyter
Server.

Highlights:

- JupyterLab 4 compatibility for the lab extension
- Improved logging and deprecation messages for different versions of Jupyter Server and Notebook

New features added

- Update labextension to jupyterlab 4
- add `ControllerLauncher.connection_info_timeout` config

Enhancements made

- log launcher output at warning-level in case of nonzero exit code
- improve deprecation messaging around `ipcluster nbextension`

Bugs fixed

- Use pre-3.10 serialization code on PyPy3.10
- fallback import when using notebook and jupyter_server is unavailable
- don't propagate logs in IPython
@
text
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@


1.8
log
@python/wheel.mk: simplify a lot, and switch to 'installer' for installation

This follows the recommended bootstrap method (flit_core, build, installer).

However, installer installs different files than pip, so update PLISTs
for all packages using wheel.mk and bump their PKGREVISIONs.
@
text
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@


1.7
log
@py-ipyparallel: updated to 8.6.1

8.6.1

Bugs fixed

- avoid errors when engine id cannot be identified
- Disable variable expansion in %px
- fix wait_interactive(return_when=FIRST_EXCEPTION) when there are no errors

8.6.0

A tiny release fixing issues seen building notebooks with jupyter-book.

- Fix KeyError on parent_header when streaming output with %%px
- Allow disabling streaming/progress defaults with IPP_NONINTERACTIVE=1 environment variable (e.g. when building notebooks in documentation)

8.5.1

A tiny bugfix release

- Fix error preventing creation of new profiles via the lab extension

8.5.0

A small bugfix and compatibility release.

- Updates dependencies in jupyterlab extension to jupyterlab 3.6
- fix ResourceWarnings about closed clusters
- Avoid some deprecated APIs in jupyter-client and pyzmq
@
text
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@


1.6
log
@py-ipyparallel: fix PLIST

Bump PKGREVISION.

Fix a pkglint warning while here.
@
text
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@


1.5
log
@py-ipyparallel: updated to 8.4.1

8.4.1 is a tiny release, adding support for Python 3.11
@
text
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@


1.4
log
@py-ipyparallel: updated to 8.4.0

8.4.0 is a small release, with some bugfixes and improvements to the release process.

Bugfixes:

- (`%px`) only skip redisplay of streamed errors if outputs are complete

Compatibility improvements:

- Avoid use of recently deprecated asyncio/tornado APIs
  around 'current' event loops that are not running.

Build improvements:

- Switch to hatch backend for packaging
@
text
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@


1.3
log
@py-ipyparallel: updated to 8.2.1

8.2.1 Fixes some compatibility issues with latest dask, ipykernel, and setuptools,
as well as some typos and improved documentation.
@
text
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@


1.2
log
@py-ipyparallel: updated to 8.2.0

8.2.0 is a small release, mostly of small bugfixes and improvements.

Changes:

`len(AsyncMapResult)` and progress ports now use the number of items in the map,
not the number of messages.

Enhancements:

- Show output prior to errors in `%%px`

Bugs fixed:

- Fix cases where engine id could be `-1` in tracebacks
- Add missing `pbs` to engine launcher entrypoints
@
text
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@


1.1
log
@py-ipyparallel: added version 8.1.0

IPython Parallel (ipyparallel) is a Python package and collection of CLI
scripts for controlling clusters of IPython processes, built on the Jupyter
protocol.
@
text
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@