Mutating input array causes core dump

[numba]

Mutating input array causes core dump

[teoliphant]

Yes, currently you can't return an array from a numba routine --- but it should update in place just fine.

Just change the return arr to return None

Thanks,

-Travis

On Sep 17, 2012, at 6:38 PM, Scott MacDonald wrote:

Today was my first exposure to Numba, so please forgive my ignorance in advance.

I am trying to mutate the values of an array and return it like this:

import numpy as np

from numba.decorators import jit
from numba import int32

@jit(arg_types=[int32[:, :]], ret_type=int32[:, :])
def mutate_array(arr):
m, n = arr.shape

for i in range(m):
    for j in range(n):
        arr[i, j] = i + j

return arr

arr = np.ones((7, 7), dtype='int32')

print mutate_array(arr)
This prints the correct value:

[[ 0 1 2 3 4 5 6]
[ 1 2 3 4 5 6 7]
[ 2 3 4 5 6 7 8]
[ 3 4 5 6 7 8 9]
[ 4 5 6 7 8 9 10]
[ 5 6 7 8 9 10 11]
[ 6 7 8 9 10 11 12]]
and then core dumps. Am I trying to do something that is unsupported?

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[spmacdonald]

I see, makes sense. Thanks for the fast reply!