Integer overflow in _radial_profile in metrics\__funcs__.py

I am just trying to use porespy and stumbled across an integer overflow error:

File "…\porespy\metrics_funcs_.py

", line 332, in _radial_profile

radial_sum[i] = np.sum(autocorr[mask])/np.sum(mask)

OverflowError: Python int too large to convert to C long

It seems this is easily fixable changing line 325 in .\porespy\metrics_funcs_.py from radial_sum = np.zeros_like(bins) to radial_sum = np.zeros_like(bins, np.int64)

The error occured following this example of the documentation using an real data image (8-bit TIFF, 1024x880):

im = cv2.imread( settings["referenceFilePath"], 0 )
data = ps.metrics.two_point_correlation_fft(im)
fig = plt.plot(*data, 'bo-')
plt.ylabel('probability')
plt.xlabel('correlation length [voxels]')
plt.show()

[kleinerELM]

Okay, thanks for your fast response and the nice libary!

[ma-sadeghi]

I see. It’s because on Linux. According to this stackoverflow thread, the default numpy.int_ is C long, but C long is int32 even Win64.

Thank you for reporting this. We’ll see what we can do to force int64 as the default int type.