From d92071a33ab96d22ff4132cfb68b06c9426a4bd7 Mon Sep 17 00:00:00 2001
From: 0000OOOO0000 <63518686+0000OOOO0000@users.noreply.github.com>
Date: Sat, 21 Nov 2020 01:33:23 +0200
Subject: [PATCH] Delete NUMBA_FUNCTIONS.PY
---
.../ADDONS/TISSUE-MASTER/NUMBA_FUNCTIONS.PY | 54 -------------------
1 file changed, 54 deletions(-)
delete mode 100644 ◯ᴥᗱᗴᗝИNᗱᗴᙁ⚭ⵙ⚭ᙁᗱᗴИNᗝᗱᗴᴥ◯/2.90/SCRIPTS/ADDONS/TISSUE-MASTER/NUMBA_FUNCTIONS.PY
diff --git a/◯ᴥᗱᗴᗝИNᗱᗴᙁ⚭ⵙ⚭ᙁᗱᗴИNᗝᗱᗴᴥ◯/2.90/SCRIPTS/ADDONS/TISSUE-MASTER/NUMBA_FUNCTIONS.PY b/◯ᴥᗱᗴᗝИNᗱᗴᙁ⚭ⵙ⚭ᙁᗱᗴИNᗝᗱᗴᴥ◯/2.90/SCRIPTS/ADDONS/TISSUE-MASTER/NUMBA_FUNCTIONS.PY
deleted file mode 100644
index 8a37c75d..00000000
--- a/◯ᴥᗱᗴᗝИNᗱᗴᙁ⚭ⵙ⚭ᙁᗱᗴИNᗝᗱᗴᴥ◯/2.90/SCRIPTS/ADDONS/TISSUE-MASTER/NUMBA_FUNCTIONS.PY
+++ /dev/null
@@ -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