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import numpy
import time
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('AGG')
from D2Q9 import Lattice
def MLUPS(cells, steps, time):
return cells * steps / time * 1e-6
def generate_moment_plots(lattice, moments):
for i, m in enumerate(moments):
print("Generating plot %d of %d." % (i+1, len(moments)))
velocity = numpy.ndarray(shape=(lattice.nY-2, lattice.nX-2))
for y in range(1,lattice.nY-1):
for x in range(1,lattice.nX-1):
velocity[y-1,x-1] = numpy.sqrt(m[1,lattice.idx(x,y)]**2 + m[2,lattice.idx(x,y)]**2)
plt.figure(figsize=(10, 10))
plt.imshow(velocity, origin='lower', cmap=plt.get_cmap('seismic'))
plt.savefig("result/velocity_" + str(i) + ".png", bbox_inches='tight', pad_inches=0)
def box(nX, nY, x, y):
if x == 1 or y == 1 or x == nX-2:
return 2
elif y == nY-2:
return 3
else:
return 1
boundary = """
if ( m == 2 ) {
u_0 = 0.0;
u_1 = 0.0;
}
if ( m == 3 ) {
u_0 = 0.1;
u_1 = 0.0;
}
"""
nUpdates = 100000
nStat = 5000
moments = []
print("Initializing simulation...\n")
lattice = Lattice(nX = 256, nY = 256, tau = 0.56, geometry = box, boundary_src = boundary)
print("Starting simulation using %d cells...\n" % lattice.nCells)
lastStat = time.time()
for i in range(1,nUpdates+1):
lattice.evolve()
if i % nStat == 0:
lattice.sync()
print("i = %4d; %3.0f MLUPS" % (i, MLUPS(lattice.nCells, nStat, time.time() - lastStat)))
moments.append(lattice.get_moments())
lastStat = time.time()
print("\nConcluded simulation.\n")
generate_moment_plots(lattice, moments)
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