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Long story short: I need to run dump(..., iterable_as_array=True) because of memory concerns. With this option, however, I lose control of how numpy.ndarray is serialized, for example. I do not need numpy.ndarray to be treated as a generic Iterable: I want, for example, to store the file name instead which I can perfectly do when iterable_as_array=False or I just use the built-in json library. iterable_as_array=True has an overwhelming priority which is hard to justify.
The text was updated successfully, but these errors were encountered:
Long story short: I need to run
dump(..., iterable_as_array=True)
because of memory concerns. With this option, however, I lose control of hownumpy.ndarray
is serialized, for example. I do not neednumpy.ndarray
to be treated as a genericIterable
: I want, for example, to store the file name instead which I can perfectly do wheniterable_as_array=False
or I just use the built-injson
library.iterable_as_array=True
has an overwhelming priority which is hard to justify.The text was updated successfully, but these errors were encountered: