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For example, when I type in the prompt:
imag = mean(@public/examples/numbers_color.b2nd, axis=0)
This gives a dataset with shape = (368, 744, 4) as a result, which is correct.
shape = (368, 744, 4)
But, if I do (note the walrus operator):
imag2 := mean(@public/examples/numbers_color.b2nd, axis=0)
This outputs a computed datasets with shape = (1, 368, 744, 4) as a result, which is not wrong, but it does not follow numpy conventions.
shape = (1, 368, 744, 4)
The text was updated successfully, but these errors were encountered:
Fixed in blosc2 (see Blosc/python-blosc2#404).
Sorry, something went wrong.
lshaw8317
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For example, when I type in the prompt:
This gives a dataset with
shape = (368, 744, 4)
as a result, which is correct.But, if I do (note the walrus operator):
This outputs a computed datasets with
shape = (1, 368, 744, 4)
as a result, which is not wrong, but it does not follow numpy conventions.The text was updated successfully, but these errors were encountered: