Hey all,
When I store a view of a numpy array as an attribute it appears to be stored as
the array that owns the data. Is this a bug? I find it confusing that the user
has to check if the numpy array owns the data or always remember to do a copy()
before storing a numpy array as an attribute.
Below is some sample code that highlights the problem.
Best regards, Ask
import numpy as np
import tables
with tables.openFile("test.h5", "w") as f:
x=f.createArray("/", "test", [0])
A=np.array([[0,1],[2,3]])
x.attrs['a']=A
x.attrs['b']=A.T.copy()
x.attrs['c']=A.T
assert np.all(x.attrs['a']==A)
assert np.all(x.attrs['b']==A.T)
assert np.all(x.attrs['c']==A)
assert np.all(x.attrs['c']==A.T) # AssertionError!
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