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### 0.3.0
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(not released)
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- `.enqueue()` does not consume the `timeout` kwarg anymore. Instead, to pass
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RQ a timeout value while enqueueing a function, use the explicit invocation
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instead:
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q.enqueue(do_something, args=(1, 2), kwargs={'a': 1}, timeout=30)
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- Add a `@job` decorator, which can be used to do Celery-style delayed
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invocations:
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from redis import Redis
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from rq.decorators import job
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# Connect to Redis
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redis = Redis()
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@job('high', timeout=10, connection=redis)
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def some_work(x, y):
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return x + y
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Then, in another module, you can call `some_work`:
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from foo.bar import some_work
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some_work.delay(2, 3)
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### 0.2.1
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(July 20th, 2012)
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- Fix important bug where result data wasn't restored from Redis correctly
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(affected non-string results only).
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### 0.2.0
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(July 18th, 2012)
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- `q.enqueue()` accepts instance methods now, too. Objects will be pickle'd
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along with the instance method, so beware.
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- `q.enqueue()` accepts string specification of functions now, too. Example:
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`q.enqueue("my.math.lib.fibonacci", 5)`. Useful if the worker and the
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submitter of work don't share code bases.
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- Job can be assigned custom attrs and they will be pickle'd along with the
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rest of the job's attrs. Can be used when writing RQ extensions.
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- Workers can now accept explicit connections, like Queues.
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- Various bug fixes.
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### 0.1.2
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(May 15, 2012)
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- Fix broken PyPI deployment.
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### 0.1.1
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(May 14, 2012)
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- Thread-safety by using context locals
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- Register scripts as console_scripts, for better portability
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- Various bugfixes.
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### 0.1.0:
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(March 28, 2012)
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- Initially released version.
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