Kernel dies when attempting to run FickianDiffusion on network extracted via porespy's snow2

[ryanvolpi]

Describe the bug When I try to run the fickian diffusion algorithm on a network extracted using Porespy's Snow2 algorithm, my jupyter notebook kernel dies. To Reproduce

import porespy as ps
import openpnm as op

im = ps.generators.blobs(shape=[50, 50, 50], porosity=0.6)
snow_output = ps.networks.snow2(im, boundary_width=[3, 3, 3])
pn, geo = op.io.PoreSpy.import_data(snow_output.network)

air = op.phases.Air(network=pn)
phys_air = op.physics.Basic(network=pn, phase=air, geometry=geo)

h = pn.check_network_health()
op.topotools.trim(pn, pores=h['trim_pores'])
op.topotools.label_faces(pn)

fd = op.algorithms.FickianDiffusion(network=pn, phase=air)
fd.setup(phase=air)
fd.set_value_BC(pores=pn.pores("top"), values=1)
fd.set_value_BC(pores=pn.pores("bottom"), values=0)
fd.run()

Expected behavior I expect the code to run without errors

I first mentioned this issue here: https://github.com/PMEAL/OpenPNM/discussions/1971

[ma-sadeghi]

I don't think this is a bug, I was able to successfully run the code that you posted. It's likely that your Python installation is somehow broken (maybe broken dependencies, etc.). To make sure if that's the case, create a new conda environment and install a fresh copy of porespy/openpnm and rerun the script.

[jgostick]

If this issue persists please let us know and we'll re-open it.