bad allocation about ttcr HOT 5 CLOSED

Make sure that when using cell_slowness, you V array has a size equal to the number of cells, not the number of nodes.

from ttcr.

Hello, I would like to know what are the conditions for the error "bad allocation"? I often encounter this error when using "cell_slowness=True".
You told me before that the V.size should be the same as the grid number, I have noticed this and I check it often. The problem I'm having now is that the grid can be created normally with "cell_slowness=True" and when solving "tt, rays = grid.raytrace(src, rcv, return_rays=True) "bad allocation" when solving "tt, rays = grid.raytrace(src, rcv, return_rays=True)".

from ttcr.

xshape = grid.shape[0]
yshape = grid.shape[1]
zshape = grid.shape[2]
V= np.empty(zshape)
.......
V=np.tile(V,xshape*yshape)
slowness=1/V

from ttcr.

tt, rays = grid.raytrace(src, rcv, return_rays=True)
After my testing, this error is reported when return_rays=True, while it is not reported when only counting walks and not paths

from ttcr.

Please look at methods get_number_of_cells and get_number_of_nodes, and make sure you understand the difference. You should also have a look at https://ttcrpy.readthedocs.io/en/latest/model_discretization.html#assigning-velocity-slowness

from ttcr.