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http://CODE.RHODECODE.COM/u/O/O/O
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55 lines
2.1 KiB
Python
55 lines
2.1 KiB
Python
# ##### BEGIN GPL LICENSE BLOCK #####
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#
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# This program is free software; you can redistribute it and/or
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# modify it under the terms of the GNU General Public License
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# as published by the Free Software Foundation; either version 2
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# of the License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software Foundation,
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# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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#
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# ##### END GPL LICENSE BLOCK #####
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import numpy as np
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try:
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from numba import jit
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print("Tissue: Numba module loaded succesfully")
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@jit
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def numba_reaction_diffusion(n_verts, n_edges, edge_verts, a, b, diff_a, diff_b, f, k, dt, time_steps):
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arr = np.arange(n_edges)*2
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id0 = edge_verts[arr] # first vertex indices for each edge
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id1 = edge_verts[arr+1] # second vertex indices for each edge
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for i in range(time_steps):
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lap_a = np.zeros(n_verts)
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lap_b = np.zeros(n_verts)
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lap_a0 = a[id1] - a[id0] # laplacian increment for first vertex of each edge
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lap_b0 = b[id1] - b[id0] # laplacian increment for first vertex of each edge
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for i, j, la0, lb0 in zip(id0,id1,lap_a0,lap_b0):
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lap_a[i] += la0
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lap_b[i] += lb0
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lap_a[j] -= la0
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lap_b[j] -= lb0
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ab2 = a*b**2
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#a += eval("(diff_a*lap_a - ab2 + f*(1-a))*dt")
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#b += eval("(diff_b*lap_b + ab2 - (k+f)*b)*dt")
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a += (diff_a*lap_a - ab2 + f*(1-a))*dt
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b += (diff_b*lap_b + ab2 - (k+f)*b)*dt
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return a, b
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@jit
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def numba_lerp2(v00, v10, v01, v11, vx, vy):
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co0 = v00 + (v10 - v00) * vx
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co1 = v01 + (v11 - v01) * vx
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co2 = co0 + (co1 - co0) * vy
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return co2
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except:
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print("Tissue: Numba not installed")
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pass
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