Fix documentation spelling errors

Change-Id: Ic5a06195cba7c27ff7664fcb8e8b514d7dc31cb7
This commit is contained in:
Stanislav Kudriashev
2014-04-23 23:42:44 +02:00
parent 8732e4772d
commit ef72c4dcde
3 changed files with 15 additions and 15 deletions

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@@ -111,7 +111,7 @@ operates.
.. note::
This engine is under active development and is experimental but it is
useable and does work but is missing some features (please check the
usable and does work but is missing some features (please check the
`blueprint page`_ for known issues and plans) that will make it more
production ready.

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@@ -24,12 +24,12 @@ Features
- High availability
- Guarantees workflow forward progress by transfering partially completed work
or work that has not been started to entities which can either resume the
previously partially completed work or begin initial work to ensure that
the workflow as a whole progresses (where progressing implies transitioning
through the workflow :doc:`patterns <patterns>` and :doc:`atoms <atoms>`
and completing their associated state transitions).
- Guarantees workflow forward progress by transferring partially complete
work or work that has not been started to entities which can either resume
the previously partially completed work or begin initial work to ensure
that the workflow as a whole progresses (where progressing implies
transitioning through the workflow :doc:`patterns <patterns>` and
:doc:`atoms <atoms>` and completing their associated state transitions).
- Atomic transfer and single ownership
@@ -46,7 +46,7 @@ Features
- Jobs can be created with logbooks that contain a specification of the work
to be done by a entity (such as an API server). The job then can be
completed by a entity that is watching that jobboard (not neccasarily the
completed by a entity that is watching that jobboard (not necessarily the
API server itself). This creates a disconnection between work
formation and work completion that is useful for scaling out horizontally.
@@ -111,7 +111,7 @@ of a job) might look like:
Consumption of jobs is similarly achieved by creating a jobboard and using
the iteration functionality to find and claim jobs (and eventually consume
them). The typical usage of a joboard for consumption (and work completion)
them). The typical usage of a jobboard for consumption (and work completion)
might look like:
.. code-block:: python
@@ -188,9 +188,9 @@ Additional *configuration* parameters:
* ``timeout``: the timeout used when performing operations with zookeeper;
only used if a client is not provided.
* ``handler``: a class that provides ``kazoo.handlers``-like interface; it will
be used internally by `kazoo`_ to perform asynchronous operations, useful when
your program uses eventlet and you want to instruct kazoo to use an eventlet
compatible handler (such as the `eventlet handler`_).
be used internally by `kazoo`_ to perform asynchronous operations, useful
when your program uses eventlet and you want to instruct kazoo to use an
eventlet compatible handler (such as the `eventlet handler`_).
Job Interface

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@@ -5,10 +5,10 @@ Persistence
Overview
========
In order to be able to recieve inputs and create outputs from atoms (or other
In order to be able to receive inputs and create outputs from atoms (or other
engine processes) in a fault-tolerant way, there is a need to be able to place
what atoms output in some kind of location where it can be re-used by other
atoms (or used for other purposes). To accomodate this type of usage taskflow
atoms (or used for other purposes). To accommodate this type of usage taskflow
provides an abstraction (provided by pluggable `stevedore`_ backends) that is
similar in concept to a running programs *memory*.
@@ -39,7 +39,7 @@ How it is used
==============
On :doc:`engine <engines>` construction typically a backend (it can be optional)
will be provided which satisifies the :py:class:`~taskflow.persistence.backends.base.Backend`
will be provided which satisfies the :py:class:`~taskflow.persistence.backends.base.Backend`
abstraction. Along with providing a backend object a :py:class:`~taskflow.persistence.logbook.FlowDetail`
object will also be created and provided (this object will contain the details about
the flow to be ran) to the engine constructor (or associated :py:meth:`load() <taskflow.engines.helpers.load>` helper functions).