py-nbconvert: updated to 5.6.0
5.6.0:
Significant Changes
Jupter Client Pin
The jupyter_client dependency is now pinned to >5.3.1. This is done to support the Parallel NBConvert below, and future versions may require interface changes from that version.
Parallel NBConvert
NBConvert --execute can now be run in parallel via threads, multiprocessing, or async patterns! This means you can now parallelize nbconvert via a bash loop, or a python concurrency pattern and it should be able to execute those notebooks in parallel.
Kernels have varying support for safe concurrent execution. The ipython kernel (ipykernel version 1.5.2 and higher) should be safe to run concurrently using Python 3. However, the Python 2 ipykernel does not always provide safe concurrent execution and sometimes fails with a socket bind exception. Unlike ipykernel which is maintained by the project, other community-maintained kernels may have varying support for concurrent execution, and these kernels were not tested heavily.
Issues for nbconvert can be viewed here:
.. note: We'll keep an eye for issues related to this new capability and try to quickly patch any discovered issues post release. The improvement required touching three projects with separate releases, so if you do find an issue try upgrading dependencies and listing your dependencies for your environment when reporting.
Execute Loop Rewrite
This release completely rewrote the execution loop responsible for monitoring kernel messages until cell execution is completed. This removes an error where kernel messages could be dropped if too many were posted too quickly. Furthermore, the change means that messages are not buffered. Now, messages can be logged immediately rather than waiting for the cell to terminate.
Comprehensive notes
New Features
- Make a default global location for custom user templates
- Parallel execution improvements
- Added store_history option to preprocess_cell and run_cell
- Simplify the function signature for preprocess()
- Set flag to not always stop kernel execution on errors
- setup_preprocessor passes kwargs to start_new_kernel
Fixing Problems
- Very fast stream outputs no longer drop some messages
- LaTeX errors now properly raise exceptions
- Improve template whitespacing
- Fixes for character in LaTeX exports and filters
- Mistune pinned in preparation for 2.0 release
- Require mock only on Python 2
- Fix selection of mimetype when converting to HTML
- Correct a few typos
- Update export_from_notebook names
- Dedenting html in ExtractOutputPreprocessor
- Fix backwards incompatibility with markdown2html
- Fixed html image tagging
- Remove unnecessary css
Testing, Docs, and Builds
- Pip-install nbconvert on readthedocs.org
- Fix various doc build issues
- Add issue templates
- Added instructions for bumping the version forward when releasing
- Fix Testing on Windows
- Refactored test_run_notebooks
- Fixed documentation typos
2019-08-21 14:59:54 +02:00
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# $NetBSD: Makefile,v 1.7 2019/08/21 12:59:54 adam Exp $
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2017-04-23 07:18:01 +02:00
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py-nbconvert: updated to 5.6.0
5.6.0:
Significant Changes
Jupter Client Pin
The jupyter_client dependency is now pinned to >5.3.1. This is done to support the Parallel NBConvert below, and future versions may require interface changes from that version.
Parallel NBConvert
NBConvert --execute can now be run in parallel via threads, multiprocessing, or async patterns! This means you can now parallelize nbconvert via a bash loop, or a python concurrency pattern and it should be able to execute those notebooks in parallel.
Kernels have varying support for safe concurrent execution. The ipython kernel (ipykernel version 1.5.2 and higher) should be safe to run concurrently using Python 3. However, the Python 2 ipykernel does not always provide safe concurrent execution and sometimes fails with a socket bind exception. Unlike ipykernel which is maintained by the project, other community-maintained kernels may have varying support for concurrent execution, and these kernels were not tested heavily.
Issues for nbconvert can be viewed here:
.. note: We'll keep an eye for issues related to this new capability and try to quickly patch any discovered issues post release. The improvement required touching three projects with separate releases, so if you do find an issue try upgrading dependencies and listing your dependencies for your environment when reporting.
Execute Loop Rewrite
This release completely rewrote the execution loop responsible for monitoring kernel messages until cell execution is completed. This removes an error where kernel messages could be dropped if too many were posted too quickly. Furthermore, the change means that messages are not buffered. Now, messages can be logged immediately rather than waiting for the cell to terminate.
Comprehensive notes
New Features
- Make a default global location for custom user templates
- Parallel execution improvements
- Added store_history option to preprocess_cell and run_cell
- Simplify the function signature for preprocess()
- Set flag to not always stop kernel execution on errors
- setup_preprocessor passes kwargs to start_new_kernel
Fixing Problems
- Very fast stream outputs no longer drop some messages
- LaTeX errors now properly raise exceptions
- Improve template whitespacing
- Fixes for character in LaTeX exports and filters
- Mistune pinned in preparation for 2.0 release
- Require mock only on Python 2
- Fix selection of mimetype when converting to HTML
- Correct a few typos
- Update export_from_notebook names
- Dedenting html in ExtractOutputPreprocessor
- Fix backwards incompatibility with markdown2html
- Fixed html image tagging
- Remove unnecessary css
Testing, Docs, and Builds
- Pip-install nbconvert on readthedocs.org
- Fix various doc build issues
- Add issue templates
- Added instructions for bumping the version forward when releasing
- Fix Testing on Windows
- Refactored test_run_notebooks
- Fixed documentation typos
2019-08-21 14:59:54 +02:00
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DISTNAME= nbconvert-5.6.0
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2017-04-23 07:18:01 +02:00
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PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
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2017-10-17 20:31:40 +02:00
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CATEGORIES= www python
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2017-04-23 07:18:01 +02:00
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MASTER_SITES= ${MASTER_SITE_PYPI:=n/nbconvert/}
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MAINTAINER= pkgsrc-users@NetBSD.org
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2019-07-22 10:42:49 +02:00
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HOMEPAGE= https://jupyter.org/
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2017-04-23 07:18:01 +02:00
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COMMENT= Converting Jupyter Notebooks
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LICENSE= modified-bsd
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2017-10-17 20:31:40 +02:00
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DEPENDS+= ${PYPKGPREFIX}-bleach-[0-9]*:../../www/py-bleach
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2018-11-29 19:26:33 +01:00
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DEPENDS+= ${PYPKGPREFIX}-defusedxml-[0-9]*:../../textproc/py-defusedxml
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2017-10-17 20:31:40 +02:00
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DEPENDS+= ${PYPKGPREFIX}-entrypoints>=0.2.2:../../devel/py-entrypoints
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py-nbconvert: updated to 5.6.0
5.6.0:
Significant Changes
Jupter Client Pin
The jupyter_client dependency is now pinned to >5.3.1. This is done to support the Parallel NBConvert below, and future versions may require interface changes from that version.
Parallel NBConvert
NBConvert --execute can now be run in parallel via threads, multiprocessing, or async patterns! This means you can now parallelize nbconvert via a bash loop, or a python concurrency pattern and it should be able to execute those notebooks in parallel.
Kernels have varying support for safe concurrent execution. The ipython kernel (ipykernel version 1.5.2 and higher) should be safe to run concurrently using Python 3. However, the Python 2 ipykernel does not always provide safe concurrent execution and sometimes fails with a socket bind exception. Unlike ipykernel which is maintained by the project, other community-maintained kernels may have varying support for concurrent execution, and these kernels were not tested heavily.
Issues for nbconvert can be viewed here:
.. note: We'll keep an eye for issues related to this new capability and try to quickly patch any discovered issues post release. The improvement required touching three projects with separate releases, so if you do find an issue try upgrading dependencies and listing your dependencies for your environment when reporting.
Execute Loop Rewrite
This release completely rewrote the execution loop responsible for monitoring kernel messages until cell execution is completed. This removes an error where kernel messages could be dropped if too many were posted too quickly. Furthermore, the change means that messages are not buffered. Now, messages can be logged immediately rather than waiting for the cell to terminate.
Comprehensive notes
New Features
- Make a default global location for custom user templates
- Parallel execution improvements
- Added store_history option to preprocess_cell and run_cell
- Simplify the function signature for preprocess()
- Set flag to not always stop kernel execution on errors
- setup_preprocessor passes kwargs to start_new_kernel
Fixing Problems
- Very fast stream outputs no longer drop some messages
- LaTeX errors now properly raise exceptions
- Improve template whitespacing
- Fixes for character in LaTeX exports and filters
- Mistune pinned in preparation for 2.0 release
- Require mock only on Python 2
- Fix selection of mimetype when converting to HTML
- Correct a few typos
- Update export_from_notebook names
- Dedenting html in ExtractOutputPreprocessor
- Fix backwards incompatibility with markdown2html
- Fixed html image tagging
- Remove unnecessary css
Testing, Docs, and Builds
- Pip-install nbconvert on readthedocs.org
- Fix various doc build issues
- Add issue templates
- Added instructions for bumping the version forward when releasing
- Fix Testing on Windows
- Refactored test_run_notebooks
- Fixed documentation typos
2019-08-21 14:59:54 +02:00
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DEPENDS+= ${PYPKGPREFIX}-ipykernel-[0-9]*:../../devel/py-ipykernel
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DEPENDS+= ${PYPKGPREFIX}-ipywidgets>=7:../../www/py-ipywidgets
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DEPENDS+= ${PYPKGPREFIX}-jinja2>=2.4:../../textproc/py-jinja2
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DEPENDS+= ${PYPKGPREFIX}-jupyter_client>=5.3.1:../../devel/py-jupyter_client
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2017-10-17 20:31:40 +02:00
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DEPENDS+= ${PYPKGPREFIX}-jupyter_core-[0-9]*:../../devel/py-jupyter_core
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py-nbconvert: updated to 5.6.0
5.6.0:
Significant Changes
Jupter Client Pin
The jupyter_client dependency is now pinned to >5.3.1. This is done to support the Parallel NBConvert below, and future versions may require interface changes from that version.
Parallel NBConvert
NBConvert --execute can now be run in parallel via threads, multiprocessing, or async patterns! This means you can now parallelize nbconvert via a bash loop, or a python concurrency pattern and it should be able to execute those notebooks in parallel.
Kernels have varying support for safe concurrent execution. The ipython kernel (ipykernel version 1.5.2 and higher) should be safe to run concurrently using Python 3. However, the Python 2 ipykernel does not always provide safe concurrent execution and sometimes fails with a socket bind exception. Unlike ipykernel which is maintained by the project, other community-maintained kernels may have varying support for concurrent execution, and these kernels were not tested heavily.
Issues for nbconvert can be viewed here:
.. note: We'll keep an eye for issues related to this new capability and try to quickly patch any discovered issues post release. The improvement required touching three projects with separate releases, so if you do find an issue try upgrading dependencies and listing your dependencies for your environment when reporting.
Execute Loop Rewrite
This release completely rewrote the execution loop responsible for monitoring kernel messages until cell execution is completed. This removes an error where kernel messages could be dropped if too many were posted too quickly. Furthermore, the change means that messages are not buffered. Now, messages can be logged immediately rather than waiting for the cell to terminate.
Comprehensive notes
New Features
- Make a default global location for custom user templates
- Parallel execution improvements
- Added store_history option to preprocess_cell and run_cell
- Simplify the function signature for preprocess()
- Set flag to not always stop kernel execution on errors
- setup_preprocessor passes kwargs to start_new_kernel
Fixing Problems
- Very fast stream outputs no longer drop some messages
- LaTeX errors now properly raise exceptions
- Improve template whitespacing
- Fixes for character in LaTeX exports and filters
- Mistune pinned in preparation for 2.0 release
- Require mock only on Python 2
- Fix selection of mimetype when converting to HTML
- Correct a few typos
- Update export_from_notebook names
- Dedenting html in ExtractOutputPreprocessor
- Fix backwards incompatibility with markdown2html
- Fixed html image tagging
- Remove unnecessary css
Testing, Docs, and Builds
- Pip-install nbconvert on readthedocs.org
- Fix various doc build issues
- Add issue templates
- Added instructions for bumping the version forward when releasing
- Fix Testing on Windows
- Refactored test_run_notebooks
- Fixed documentation typos
2019-08-21 14:59:54 +02:00
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DEPENDS+= ${PYPKGPREFIX}-mistune>=0.8.1:../../textproc/py-mistune
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2017-10-17 20:31:40 +02:00
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DEPENDS+= ${PYPKGPREFIX}-nbformat>=4.4:../../www/py-nbformat
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2017-04-23 07:18:01 +02:00
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DEPENDS+= ${PYPKGPREFIX}-pandocfilters>=1.4.1:../../textproc/py-pandocfilters
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2017-10-17 20:31:40 +02:00
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DEPENDS+= ${PYPKGPREFIX}-pygments-[0-9]*:../../textproc/py-pygments
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DEPENDS+= ${PYPKGPREFIX}-testpath-[0-9]*:../../devel/py-testpath
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DEPENDS+= ${PYPKGPREFIX}-tornado>=4.0:../../www/py-tornado
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DEPENDS+= ${PYPKGPREFIX}-traitlets>=4.2:../../devel/py-traitlets
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py-nbconvert: updated to 5.6.0
5.6.0:
Significant Changes
Jupter Client Pin
The jupyter_client dependency is now pinned to >5.3.1. This is done to support the Parallel NBConvert below, and future versions may require interface changes from that version.
Parallel NBConvert
NBConvert --execute can now be run in parallel via threads, multiprocessing, or async patterns! This means you can now parallelize nbconvert via a bash loop, or a python concurrency pattern and it should be able to execute those notebooks in parallel.
Kernels have varying support for safe concurrent execution. The ipython kernel (ipykernel version 1.5.2 and higher) should be safe to run concurrently using Python 3. However, the Python 2 ipykernel does not always provide safe concurrent execution and sometimes fails with a socket bind exception. Unlike ipykernel which is maintained by the project, other community-maintained kernels may have varying support for concurrent execution, and these kernels were not tested heavily.
Issues for nbconvert can be viewed here:
.. note: We'll keep an eye for issues related to this new capability and try to quickly patch any discovered issues post release. The improvement required touching three projects with separate releases, so if you do find an issue try upgrading dependencies and listing your dependencies for your environment when reporting.
Execute Loop Rewrite
This release completely rewrote the execution loop responsible for monitoring kernel messages until cell execution is completed. This removes an error where kernel messages could be dropped if too many were posted too quickly. Furthermore, the change means that messages are not buffered. Now, messages can be logged immediately rather than waiting for the cell to terminate.
Comprehensive notes
New Features
- Make a default global location for custom user templates
- Parallel execution improvements
- Added store_history option to preprocess_cell and run_cell
- Simplify the function signature for preprocess()
- Set flag to not always stop kernel execution on errors
- setup_preprocessor passes kwargs to start_new_kernel
Fixing Problems
- Very fast stream outputs no longer drop some messages
- LaTeX errors now properly raise exceptions
- Improve template whitespacing
- Fixes for character in LaTeX exports and filters
- Mistune pinned in preparation for 2.0 release
- Require mock only on Python 2
- Fix selection of mimetype when converting to HTML
- Correct a few typos
- Update export_from_notebook names
- Dedenting html in ExtractOutputPreprocessor
- Fix backwards incompatibility with markdown2html
- Fixed html image tagging
- Remove unnecessary css
Testing, Docs, and Builds
- Pip-install nbconvert on readthedocs.org
- Fix various doc build issues
- Add issue templates
- Added instructions for bumping the version forward when releasing
- Fix Testing on Windows
- Refactored test_run_notebooks
- Fixed documentation typos
2019-08-21 14:59:54 +02:00
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TEST_DEPENDS+= ${PYPKGPREFIX}-pebble-[0-9]*:../../devel/py-pebble
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2018-11-29 19:26:33 +01:00
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TEST_DEPENDS+= ${PYPKGPREFIX}-test-[0-9]*:../../devel/py-test
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TEST_DEPENDS+= ${PYPKGPREFIX}-test-cov-[0-9]*:../../devel/py-test-cov
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TEST_DEPENDS+= ${PYPKGPREFIX}-testpath-[0-9]*:../../devel/py-testpath
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2017-04-23 07:18:01 +02:00
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USE_LANGUAGES= # none
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post-install:
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2018-11-29 19:26:33 +01:00
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cd ${DESTDIR}${PREFIX}/bin && \
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2019-06-14 16:49:12 +02:00
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${MV} jupyter-nbconvert jupyter-nbconvert-${PYVERSSUFFIX} || ${TRUE}
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2017-10-17 20:31:40 +02:00
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do-test:
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cd ${WRKSRC} && py.test-${PYVERSSUFFIX}
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2017-04-23 07:18:01 +02:00
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.include "../../lang/python/distutils.mk"
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.include "../../mk/bsd.pkg.mk"
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