Open tbenst opened 3 years ago
I have a file, stat.npy.
stat.npy
julia> using PyCall julia> np = pyimport("numpy") julia> stat = np.load("stat.npy", allow_pickle=true); julia> cell_centers = map(x->get(x,"med"), stat) julia> cell_centers[1023] 2-element Vector{Int64}: 477 562 julia> cell_centers[1024] 2-element Vector{PyObject}: PyObject 211 PyObject 430 julia> pybuiltin("type")(cell_centers[1023]) PyObject <class 'numpy.ndarray'> julia> pybuiltin("type")(cell_centers[1024]) PyObject <class 'list'> julia> pybuiltin("type")(cell_centers[1024][1]) PyObject <class 'numpy.int64'>
1:1023 indices are converted properly, but 1024:end is not. Nothing is different when loading in python. Given the closeness to a power of 2, I suspect something is going on in PyCall...?
1:1023
1024:end
Edit: clarified code
Impossible to reproduce since you don't provide the file…
@stevengj I did provide the file, see the link in my post--is the link not working for you?
I have a file,
stat.npy
.1:1023
indices are converted properly, but1024:end
is not. Nothing is different when loading in python. Given the closeness to a power of 2, I suspect something is going on in PyCall...?Edit: clarified code