Shared memory array API and optional tight integration with numpy
#338
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goodboy
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numpynumpy
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See issue regarding OSX support here: #340 |
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More or less a verbatim copy-paste minus some edgy variable naming and internal `piker` module imports. There is a bunch of OHLC related defaults that need to be dropped and we need to adjust to an optional dependence on `numpy` by supporting shared lists as per the mp docs.
First attempt at getting `multiprocessing.shared_memory.ShareableList` working; we wrap the stdlib type with a readonly attr and a `.key` for cross-actor lookup. Also, rename all `numpy` specific routines to have a `ndarray` suffix in the func names.
Demonstrates fixed size frame-oriented reads by the child where the parent only transmits a "read" stream msg on "frame fill events" such that the child incrementally reads the shm list data (much like in a real-time-buffered streaming system).
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Initial module import from
piker.data._sharememand first implementation of the system(s) discussed in #339.Would like to have done for this to land:
OSError: [Errno 63] File name too long:pikers/piker#306 andOSError: too many files openon linux pikers/piker#332ShareableListnumpy.ndarraysupportnptypingto getmypyhappy (as possible)numpyandShmListtype