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Merge pull request #1023 from ahojnnes/release
New release note process
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-1
@@ -77,6 +77,12 @@ For a more detailed discussion, read these :doc:`detailed documents
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Travis fails, you can find out why by clicking on the "failed" icon (red
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cross) and inspecting the build and test log.
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5. Document changes
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Before merging your commits, you must add a description of your changes
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to the release notes of the upcoming version in
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``doc/release/release_dev.txt``.
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.. note::
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To reviewers: if it is not obvious, add a short explanation of what a branch
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@@ -85,7 +91,7 @@ For a more detailed discussion, read these :doc:`detailed documents
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Divergence between ``upstream master`` and your feature branch
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..............................................................
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--------------------------------------------------------------
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Do *not* ever merge the main branch into yours. If GitHub indicates that the
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branch of your Pull Request can no longer be merged automatically, rebase
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@@ -8,6 +8,10 @@ How to make a new release of ``skimage``
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- To show a list of contributors and changes, run
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``doc/release/contribs.py <tag of prev release>``.
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- Review and cleanup ``doc/release/release_dev.txt``, rename to
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``doc/release/release_X.txt``, and create new
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``doc/release/release_dev.txt``.
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- Update the version number in ``setup.py`` and ``bento.info`` and commit
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- Update the docs:
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@@ -0,0 +1,36 @@
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Announcement: scikit-image 0.X.0
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================================
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We're happy to announce the release of scikit-image v0.X.0!
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scikit-image is an image processing toolbox for SciPy that includes algorithms
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for segmentation, geometric transformations, color space manipulation,
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analysis, filtering, morphology, feature detection, and more.
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For more information, examples, and documentation, please visit our website:
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http://scikit-image.org
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New Features
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------------
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Improvements
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------------
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API Changes
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-----------
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Deprecations
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------------
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@@ -0,0 +1,36 @@
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Announcement: scikit-image 0.X.0
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================================
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We're happy to announce the release of scikit-image v0.X.0!
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scikit-image is an image processing toolbox for SciPy that includes algorithms
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for segmentation, geometric transformations, color space manipulation,
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analysis, filtering, morphology, feature detection, and more.
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For more information, examples, and documentation, please visit our website:
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http://scikit-image.org
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New Features
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------------
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Improvements
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------------
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API Changes
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-----------
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Deprecations
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------------
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