class Mumps():
A = None
ctx = None
x = None
def __init__(self, A, **kwagrs):
self.ctx = DMumpsContext()
self.A = A.tocsc()
self.ctx.set_icntl(14, 60)
self.ctx.set_centralized_sparse(A)
# print 'Factoring'
self.ctx.set_silent()
# print 'Done'
self.ctx.run(job=4) # Factorization
def solve(self,b):
# print 'Solving'
self.x = b.copy()
self.ctx.set_rhs(self.x)
self.ctx.run(job=3) # Solve
# print 'Done'
return self.x
def clean(self):
self.ctx.destroy()
def solve(self):
mesh = self.mesh
NE = mesh.number_of_edges()
NC = mesh.number_of_cells()
itype = mesh.itype
ftype = mesh.ftype
A = self.get_left_matrix()
b = self.get_right_vector()
x = np.r_[self.uh, self.ph] #把self.uh,self.ph组合在一起
b = b - A @ x
# Modify matrix
bdIdx = np.zeros((A.shape[0], ), dtype=itype)
bdIdx[NE] = 1
Tbd = spdiags(bdIdx, 0, A.shape[0], A.shape[1])
T = spdiags(1 - bdIdx, 0, A.shape[0], A.shape[1])
AD = T @ A @ T + Tbd
scipy.sparse.save_npz('AD.npz', AD)
b[NE] = self.ph[0]
with open("b.csv", "w", newline="") as datacsv:
csvwriter = csv.writer(datacsv, dialect=("excel"))
csvwriter.writerow(['b'])
csvwriter.writerows([b])
# solve
x[:] = spsolve(AD, b)
# solve
from mumps import DMumpsContext
ctx = DMumpsContext()
if ctx.myid == 0:
ctx.set_centralized_sparse(AD.tocoo())
x = b.copy()
ctx.set_rhs(x)
ctx.set_silent()
ctx.run(job=6)
self.uh[:] = x[:NE]
self.ph[:] = x[NE:]
print('ph', self.ph)
print('pI', self.pI)
return x
def solve(self):
mesh = self.mesh
NE = mesh.number_of_edges()
NC = mesh.number_of_cells()
itype = mesh.itype
ftype = mesh.ftype
A = self.get_left_matrix()
b = self.get_right_vector()
x = np.r_[self.uh, self.ph] #把self.uh,self.ph组合在一起
b = b - A @ x
# Modify matrix
bdIdx = np.zeros((A.shape[0], ), dtype=itype)
bdIdx[NE] = 1
Tbd = spdiags(bdIdx, 0, A.shape[0], A.shape[1])
T = spdiags(1 - bdIdx, 0, A.shape[0], A.shape[1])
AD = T @ A @ T + Tbd
b[NE] = self.ph[0]
K = AD.todense()
# solve
x[:] = spsolve(AD, b)
# solve
from mumps import DMumpsContext
ctx = DMumpsContext()
if ctx.myid == 0:
ctx.set_centralized_sparse(AD.tocoo())
x = b.copy()
ctx.set_rhs(x)
ctx.set_silent()
ctx.run(job=6)
self.uh[:] = x[:NE]
self.ph[:] = x[NE:]
print('ph', self.ph)
print('pI', self.pI)
return x
if args.reload[0] is not None:
n = int(float(args.reload[1])*3600*24/args.DT)
with open(args.reload[0], 'rb') as f:
simulator = pickle.load(f)
simulator.add_time(n)
#writer = VTKMeshWriter(simulation=simulator.run)
#writer.run()
writer = VTKMeshWriter()
simulator.run(ctx=ctx, writer=writer)
else:
ctx = DMumpsContext()
ctx.set_silent()
with open(args.mesh, 'rb') as f:
mesh = pickle.load(f) # 导入地质网格模型
mesh.fluid_relative_permeability_0 = water
mesh.fluid_relative_permeability_1 = oil
simulator = TwoFluidsWithGeostressSimulator(mesh, args)
writer = VTKMeshWriter(simulation=simulator.run, args=(ctx, None))
writer.run()
#writer = VTKMeshWriter()
#simulator.run(ctx=ctx, writer=writer)
ctx.destroy()
# 保存程序终止状态，用于后续计算测试
