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Fix error in example in the documentation (#1870) 

The solution that @rpkak proposes works. Closes #1524
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Joris 2023-04-01 14:43:47 +02:00 committed by GitHub
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8
docs/docs/index.md
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@ -111,8 +111,8 @@ You can also enqueue multiple jobs in bulk with `queue.enqueue_many()` and `Queu
```python
jobs = q.enqueue_many(
[
Queue.prepare_data(count_words_at_url, 'http://nvie.com', job_id='my_job_id'),
Queue.prepare_data(count_words_at_url, 'http://nvie.com', job_id='my_other_job_id'),
Queue.prepare_data(count_words_at_url, ('http://nvie.com',), job_id='my_job_id'),
Queue.prepare_data(count_words_at_url, ('http://nvie.com',), job_id='my_other_job_id'),
]
)
```
@ -123,8 +123,8 @@ which will enqueue all the jobs in a single redis `pipeline` which you can optio
with q.connection.pipeline() as pipe:
jobs = q.enqueue_many(
[
Queue.prepare_data(count_words_at_url, 'http://nvie.com', job_id='my_job_id'),
Queue.prepare_data(count_words_at_url, 'http://nvie.com', job_id='my_other_job_id'),
Queue.prepare_data(count_words_at_url, ('http://nvie.com',), job_id='my_job_id'),
Queue.prepare_data(count_words_at_url, ('http://nvie.com',), job_id='my_other_job_id'),
],
pipeline=pipe
)