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From robertwb <...@git.apache.org>
Subject [GitHub] incubator-beam pull request #785: Use the cythonized DoFnContext everywhere.
Date Thu, 04 Aug 2016 18:00:26 GMT
GitHub user robertwb opened a pull request:

    https://github.com/apache/incubator-beam/pull/785

    Use the cythonized DoFnContext everywhere.

    Be sure to do all of the following to help us incorporate your contribution
    quickly and easily:
    
     - [ ] Make sure the PR title is formatted like:
       `[BEAM-<Jira issue #>] Description of pull request`
     - [ ] Make sure tests pass via `mvn clean verify`. (Even better, enable
           Travis-CI on your fork and ensure the whole test matrix passes).
     - [ ] Replace `<Jira issue #>` in the title with the actual Jira issue
           number, if there is one.
     - [ ] If this contribution is large, please file an Apache
           [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.txt).
    
    ---
    
    Of particular note we want this to be strongly typed in
    the DoFnRunner as one interacts with it for every element
    processed.
    
    Also moves the creation of this context, which is an implementation
    detail, from the runner to the API for future flexibility.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/robertwb/incubator-beam fast-context

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/incubator-beam/pull/785.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #785
    
----
commit 3109069050146c3e10376dba32cd3573923b656a
Author: Robert Bradshaw <robertwb@google.com>
Date:   2016-08-04T17:55:18Z

    Use the cythonized DoFnContext everywhere.
    
    Of particular note we want this to be strongly typed in
    the DoFnRunner as one interacts with it for every element
    processed.
    
    Also moves the creation of this context, which is an implementation
    detail, from the runner to the API for future flexibility.

----


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