O
/
OO
0
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Delete NUMBA_FUNCTIONS.PY

This commit is contained in:
0000OOOO0000 2020-11-21 01:33:23 +02:00 committed by GitHub
parent a21168018a
commit d92071a33a
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 0 additions and 54 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

54
◯ᴥᗱᗴᗝИNᗱᗴᙁ⚭ⵙ⚭ᙁᗱᗴИNᗝᗱᗴᴥ◯/2.90/SCRIPTS/ADDONS/TISSUE-MASTER/NUMBA_FUNCTIONS.PY
View File

@ -1,54 +0,0 @@
# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
import numpy as np
try:
from numba import jit
print("Tissue: Numba module loaded succesfully")
@jit
def numba_reaction_diffusion(n_verts, n_edges, edge_verts, a, b, diff_a, diff_b, f, k, dt, time_steps):
arr = np.arange(n_edges)*2
id0 = edge_verts[arr] # first vertex indices for each edge
id1 = edge_verts[arr+1] # second vertex indices for each edge
for i in range(time_steps):
lap_a = np.zeros(n_verts)
lap_b = np.zeros(n_verts)
lap_a0 = a[id1] - a[id0] # laplacian increment for first vertex of each edge
lap_b0 = b[id1] - b[id0] # laplacian increment for first vertex of each edge
for i, j, la0, lb0 in zip(id0,id1,lap_a0,lap_b0):
lap_a[i] += la0
lap_b[i] += lb0
lap_a[j] -= la0
lap_b[j] -= lb0
ab2 = a*b**2
#a += eval("(diff_a*lap_a - ab2 + f*(1-a))*dt")
#b += eval("(diff_b*lap_b + ab2 - (k+f)*b)*dt")
a += (diff_a*lap_a - ab2 + f*(1-a))*dt
b += (diff_b*lap_b + ab2 - (k+f)*b)*dt
return a, b
@jit
def numba_lerp2(v00, v10, v01, v11, vx, vy):
co0 = v00 + (v10 - v00) * vx
co1 = v01 + (v11 - v01) * vx
co2 = co0 + (co1 - co0) * vy
return co2
except:
print("Tissue: Numba not installed")
pass