A few jobboard documentation tweaks
Change-Id: I67fcfcb9e721d3293b60f04f7bebac3723b1a3ae
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		@@ -62,7 +62,8 @@ Features
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    the previously partially completed work or begin initial work to ensure
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    that the workflow as a whole progresses (where progressing implies
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    transitioning through the workflow :doc:`patterns <patterns>` and
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    :doc:`atoms <atoms>` and completing their associated state transitions).
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    :doc:`atoms <atoms>` and completing their associated
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    :doc:`states <states>` transitions).
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- Atomic transfer and single ownership
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@@ -94,11 +95,12 @@ Features
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Usage
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=====
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All engines are mere classes that implement same interface, and of course it is
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possible to import them and create their instances just like with any classes
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in Python. But the easier (and recommended) way for creating jobboards is by
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using the :py:meth:`fetch() <taskflow.jobs.backends.fetch>` function which uses
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entrypoints (internally using `stevedore`_) to fetch and configure your backend
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All jobboards are mere classes that implement same interface, and of course
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it is possible to import them and create instances of them just like with any
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other class in Python. But the easier (and recommended) way for creating
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jobboards is by using the :py:meth:`fetch() <taskflow.jobs.backends.fetch>`
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function which uses entrypoints (internally using `stevedore`_) to fetch and
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configure your backend.
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Using this function the typical creation of a jobboard (and an example posting
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of a job) might look like:
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