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 A fast alternative to `multiprocessing.Queue`. Faster, because it takes advantage of a shared memory ring buffer (rather than slow pipes) and [pickle protocol 5 out-of-band data](https://peps.python.org/pep-0574/) to minimize copies. [`dejaq.DejaQueue`](#dejaqdejaqueue) supports any type of [picklable](https://docs.python.org/3/library/pickle.html#what-can-be-pickled-and-unpickled) Python object, including numpy arrays or nested dictionaries with mixed content.
 
-![Figure 23___](https://github.com/user-attachments/assets/69dae69d-c4c6-47b5-b5cd-d63536a84826)
+<img src="https://github.com/user-attachments/assets/69dae69d-c4c6-47b5-b5cd-d63536a84826" width="100%">
 
 The speed advantege of `DejaQueue` becomes substantial for items of > 1 MB size. It enables efficient inter-job communication in big-data processing pipelines, which can be implemented in a few lines of code with [`dejaq.Parallel`](#dejaqparallel).