mirror of
https://github.com/wassname/simpeg.git
synced 2026-06-27 18:25:42 +08:00
Rowan Cockett
501 lines
16 KiB
Python
501 lines
16 KiB
Python
import numpy as np
|
|
import scipy.sparse as sp
|
|
import unittest
|
|
import matplotlib.pyplot as plt
|
|
from SimPEG import *
|
|
|
|
MESHTYPES = ['uniformTensorMesh']
|
|
|
|
class Test1D_InhomogeneousDirichlet(Tests.OrderTest):
|
|
name = "1D - Dirichlet"
|
|
meshTypes = MESHTYPES
|
|
meshDimension = 1
|
|
expectedOrders = 2
|
|
meshSizes = [4, 8, 16, 32, 64, 128]
|
|
|
|
def getError(self):
|
|
#Test function
|
|
phi = lambda x: np.cos(np.pi*x)
|
|
j_fun = lambda x: -np.pi*np.sin(np.pi*x)
|
|
q_fun = lambda x: -(np.pi**2)*np.cos(np.pi*x)
|
|
|
|
xc_ana = phi(self.M.gridCC)
|
|
q_ana = q_fun(self.M.gridCC)
|
|
j_ana = j_fun(self.M.gridFx)
|
|
|
|
#TODO: Check where our boundary conditions are CCx or Nx
|
|
# vec = self.M.vectorNx
|
|
vec = self.M.vectorCCx
|
|
|
|
phi_bc = phi(vec[[0,-1]])
|
|
j_bc = j_fun(vec[[0,-1]])
|
|
|
|
P, Pin, Pout = self.M.getBCProjWF([['dirichlet', 'dirichlet']])
|
|
|
|
Mc = self.M.getFaceInnerProduct()
|
|
McI = Utils.sdInv(self.M.getFaceInnerProduct())
|
|
V = Utils.sdiag(self.M.vol)
|
|
G = -Pin.T*Pin*self.M.faceDiv.T * V
|
|
D = self.M.faceDiv
|
|
j = McI*(G*xc_ana + P*phi_bc)
|
|
q = V*D*Pin.T*Pin*j + V*D*Pout.T*j_bc
|
|
|
|
# Rearrange if we know q to solve for x
|
|
A = V*D*Pin.T*Pin*McI*G
|
|
rhs = V*q_ana - V*D*Pin.T*Pin*McI*P*phi_bc - V*D*Pout.T*j_bc
|
|
# A = D*McI*G
|
|
# rhs = q_ana - D*McI*P*phi_bc
|
|
|
|
|
|
if self.myTest == 'j':
|
|
err = np.linalg.norm((j-j_ana), np.inf)
|
|
elif self.myTest == 'q':
|
|
err = np.linalg.norm((q-V*q_ana), np.inf)
|
|
elif self.myTest == 'xc':
|
|
#TODO: fix the null space
|
|
solver = SolverCG(A, maxiter=1000)
|
|
xc = solver * (rhs)
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
err = np.linalg.norm((xc-xc_ana), np.inf)
|
|
elif self.myTest == 'xcJ':
|
|
#TODO: fix the null space
|
|
xc = Solver(A) * (rhs)
|
|
print np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
j = McI*(G*xc + P*phi_bc)
|
|
err = np.linalg.norm((j-j_ana), np.inf)
|
|
|
|
return err
|
|
|
|
def test_orderJ(self):
|
|
self.name = "1D - InhomogeneousDirichlet_Forward j"
|
|
self.myTest = 'j'
|
|
self.orderTest()
|
|
|
|
def test_orderQ(self):
|
|
self.name = "1D - InhomogeneousDirichlet_Forward q"
|
|
self.myTest = 'q'
|
|
self.orderTest()
|
|
|
|
def test_orderX(self):
|
|
self.name = "1D - InhomogeneousDirichlet_Inverse"
|
|
self.myTest = 'xc'
|
|
self.orderTest()
|
|
|
|
def test_orderXJ(self):
|
|
self.name = "1D - InhomogeneousDirichlet_Inverse J"
|
|
self.myTest = 'xcJ'
|
|
self.orderTest()
|
|
|
|
|
|
class Test2D_InhomogeneousDirichlet(Tests.OrderTest):
|
|
name = "2D - Dirichlet"
|
|
meshTypes = MESHTYPES
|
|
meshDimension = 2
|
|
expectedOrders = 2
|
|
meshSizes = [4, 8, 16, 32]
|
|
|
|
def getError(self):
|
|
#Test function
|
|
phi = lambda x: np.cos(np.pi*x[:,0])*np.cos(np.pi*x[:,1])
|
|
j_funX = lambda x: -np.pi*np.sin(np.pi*x[:,0])*np.cos(np.pi*x[:,1])
|
|
j_funY = lambda x: -np.pi*np.cos(np.pi*x[:,0])*np.sin(np.pi*x[:,1])
|
|
q_fun = lambda x: -2*(np.pi**2)*phi(x)
|
|
|
|
xc_ana = phi(self.M.gridCC)
|
|
q_ana = q_fun(self.M.gridCC)
|
|
jX_ana = j_funX(self.M.gridFx)
|
|
jY_ana = j_funY(self.M.gridFy)
|
|
j_ana = np.r_[jX_ana,jY_ana]
|
|
|
|
#TODO: Check where our boundary conditions are CCx or Nx
|
|
# fxm,fxp,fym,fyp = self.M.faceBoundaryInd
|
|
# gBFx = self.M.gridFx[(fxm|fxp),:]
|
|
# gBFy = self.M.gridFy[(fym|fyp),:]
|
|
fxm,fxp,fym,fyp = self.M.cellBoundaryInd
|
|
gBFx = self.M.gridCC[(fxm|fxp),:]
|
|
gBFy = self.M.gridCC[(fym|fyp),:]
|
|
|
|
bc = phi(np.r_[gBFx,gBFy])
|
|
|
|
# P = sp.csr_matrix(([-1,1],([0,self.M.nF-1],[0,1])), shape=(self.M.nF, 2))
|
|
|
|
P, Pin, Pout = self.M.getBCProjWF('dirichlet')
|
|
|
|
Mc = self.M.getFaceInnerProduct()
|
|
McI = Utils.sdInv(self.M.getFaceInnerProduct())
|
|
G = -self.M.faceDiv.T * Utils.sdiag(self.M.vol)
|
|
D = self.M.faceDiv
|
|
j = McI*(G*xc_ana + P*bc)
|
|
q = D*j
|
|
|
|
# self.M.plotImage(j, 'FxFy', showIt=True)
|
|
|
|
# Rearrange if we know q to solve for x
|
|
A = D*McI*G
|
|
rhs = q_ana - D*McI*P*bc
|
|
|
|
if self.myTest == 'j':
|
|
err = np.linalg.norm((j-j_ana), np.inf)
|
|
elif self.myTest == 'q':
|
|
err = np.linalg.norm((q-q_ana), np.inf)
|
|
elif self.myTest == 'xc':
|
|
xc = Solver(A) * (rhs)
|
|
err = np.linalg.norm((xc-xc_ana), np.inf)
|
|
elif self.myTest == 'xcJ':
|
|
xc = Solver(A) * (rhs)
|
|
j = McI*(G*xc + P*bc)
|
|
err = np.linalg.norm((j-j_ana), np.inf)
|
|
|
|
return err
|
|
|
|
def test_orderJ(self):
|
|
self.name = "2D - InhomogeneousDirichlet_Forward j"
|
|
self.myTest = 'j'
|
|
self.orderTest()
|
|
|
|
def test_orderQ(self):
|
|
self.name = "2D - InhomogeneousDirichlet_Forward q"
|
|
self.myTest = 'q'
|
|
self.orderTest()
|
|
|
|
def test_orderX(self):
|
|
self.name = "2D - InhomogeneousDirichlet_Inverse"
|
|
self.myTest = 'xc'
|
|
self.orderTest()
|
|
|
|
def test_orderXJ(self):
|
|
self.name = "2D - InhomogeneousDirichlet_Inverse J"
|
|
self.myTest = 'xcJ'
|
|
self.orderTest()
|
|
|
|
class Test1D_InhomogeneousNeumann(Tests.OrderTest):
|
|
name = "1D - Neumann"
|
|
meshTypes = MESHTYPES
|
|
meshDimension = 1
|
|
expectedOrders = 2
|
|
meshSizes = [4, 8, 16, 32, 64, 128]
|
|
|
|
def getError(self):
|
|
#Test function
|
|
phi = lambda x: np.sin(np.pi*x)
|
|
j_fun = lambda x: np.pi*np.cos(np.pi*x)
|
|
q_fun = lambda x: -(np.pi**2)*np.sin(np.pi*x)
|
|
|
|
xc_ana = phi(self.M.gridCC)
|
|
q_ana = q_fun(self.M.gridCC)
|
|
j_ana = j_fun(self.M.gridFx)
|
|
|
|
#TODO: Check where our boundary conditions are CCx or Nx
|
|
vecN = self.M.vectorNx
|
|
vecC = self.M.vectorCCx
|
|
|
|
phi_bc = phi(vecC[[0,-1]])
|
|
j_bc = j_fun(vecN[[0,-1]])
|
|
|
|
P, Pin, Pout = self.M.getBCProjWF([['neumann', 'neumann']])
|
|
|
|
Mc = self.M.getFaceInnerProduct()
|
|
McI = Utils.sdInv(self.M.getFaceInnerProduct())
|
|
V = Utils.sdiag(self.M.vol)
|
|
G = -Pin.T*Pin*self.M.faceDiv.T * V
|
|
D = self.M.faceDiv
|
|
j = McI*(G*xc_ana + P*phi_bc)
|
|
q = V*D*Pin.T*Pin*j + V*D*Pout.T*j_bc
|
|
|
|
# Rearrange if we know q to solve for x
|
|
A = V*D*Pin.T*Pin*McI*G
|
|
rhs = V*q_ana - V*D*Pin.T*Pin*McI*P*phi_bc - V*D*Pout.T*j_bc
|
|
# A = D*McI*G
|
|
# rhs = q_ana - D*McI*P*phi_bc
|
|
|
|
|
|
if self.myTest == 'j':
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
elif self.myTest == 'q':
|
|
err = np.linalg.norm((q-V*q_ana), np.inf)
|
|
elif self.myTest == 'xc':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
err = np.linalg.norm((xc-xc_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
elif self.myTest == 'xcJ':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
j = McI*(G*xc + P*phi_bc)
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
return err
|
|
|
|
def test_orderJ(self):
|
|
self.name = "1D - InhomogeneousNeumann_Forward j"
|
|
self.myTest = 'j'
|
|
self.orderTest()
|
|
|
|
def test_orderQ(self):
|
|
self.name = "1D - InhomogeneousNeumann_Forward q"
|
|
self.myTest = 'q'
|
|
self.orderTest()
|
|
|
|
def test_orderXJ(self):
|
|
self.name = "1D - InhomogeneousNeumann_Inverse J"
|
|
self.myTest = 'xcJ'
|
|
self.orderTest()
|
|
|
|
class Test2D_InhomogeneousNeumann(Tests.OrderTest):
|
|
name = "2D - Neumann"
|
|
meshTypes = MESHTYPES
|
|
meshDimension = 2
|
|
expectedOrders = 2
|
|
meshSizes = [4, 8, 16, 32]
|
|
# meshSizes = [4]
|
|
|
|
def getError(self):
|
|
#Test function
|
|
phi = lambda x: np.sin(np.pi*x[:,0])*np.sin(np.pi*x[:,1])
|
|
j_funX = lambda x: np.pi*np.cos(np.pi*x[:,0])*np.sin(np.pi*x[:,1])
|
|
j_funY = lambda x: np.pi*np.sin(np.pi*x[:,0])*np.cos(np.pi*x[:,1])
|
|
q_fun = lambda x: -2*(np.pi**2)*phi(x)
|
|
|
|
xc_ana = phi(self.M.gridCC)
|
|
q_ana = q_fun(self.M.gridCC)
|
|
jX_ana = j_funX(self.M.gridFx)
|
|
jY_ana = j_funY(self.M.gridFy)
|
|
j_ana = np.r_[jX_ana,jY_ana]
|
|
|
|
#TODO: Check where our boundary conditions are CCx or Nx
|
|
|
|
cxm,cxp,cym,cyp = self.M.cellBoundaryInd
|
|
fxm,fxp,fym,fyp = self.M.faceBoundaryInd
|
|
|
|
gBFx = self.M.gridFx[(fxm|fxp),:]
|
|
gBFy = self.M.gridFy[(fym|fyp),:]
|
|
|
|
gBCx = self.M.gridCC[(cxm|cxp),:]
|
|
gBCy = self.M.gridCC[(cym|cyp),:]
|
|
|
|
phi_bc = phi(np.r_[gBFx,gBFy])
|
|
j_bc = np.r_[j_funX(gBFx), j_funY(gBFy)]
|
|
|
|
# P = sp.csr_matrix(([-1,1],([0,self.M.nF-1],[0,1])), shape=(self.M.nF, 2))
|
|
|
|
P, Pin, Pout = self.M.getBCProjWF('neumann')
|
|
|
|
Mc = self.M.getFaceInnerProduct()
|
|
McI = Utils.sdInv(self.M.getFaceInnerProduct())
|
|
V = Utils.sdiag(self.M.vol)
|
|
G = -Pin.T*Pin*self.M.faceDiv.T * V
|
|
D = self.M.faceDiv
|
|
j = McI*(G*xc_ana + P*phi_bc)
|
|
q = V*D*Pin.T*Pin*j + V*D*Pout.T*j_bc
|
|
|
|
# Rearrange if we know q to solve for x
|
|
A = V*D*Pin.T*Pin*McI*G
|
|
rhs = V*q_ana - V*D*Pin.T*Pin*McI*P*phi_bc - V*D*Pout.T*j_bc
|
|
|
|
if self.myTest == 'j':
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
elif self.myTest == 'q':
|
|
err = np.linalg.norm((q-V*q_ana), np.inf)
|
|
elif self.myTest == 'xc':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
err = np.linalg.norm((xc-xc_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
elif self.myTest == 'xcJ':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
j = McI*(G*xc + P*phi_bc)
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
return err
|
|
|
|
def test_orderJ(self):
|
|
self.name = "2D - InhomogeneousNeumann_Forward j"
|
|
self.myTest = 'j'
|
|
self.orderTest()
|
|
|
|
def test_orderQ(self):
|
|
self.name = "2D - InhomogeneousNeumann_Forward q"
|
|
self.myTest = 'q'
|
|
self.orderTest()
|
|
|
|
def test_orderXJ(self):
|
|
self.name = "2D - InhomogeneousNeumann_Inverse J"
|
|
self.myTest = 'xcJ'
|
|
self.orderTest()
|
|
|
|
class Test1D_InhomogeneousMixed(Tests.OrderTest):
|
|
name = "1D - Mixed"
|
|
meshTypes = MESHTYPES
|
|
meshDimension = 1
|
|
expectedOrders = 2
|
|
meshSizes = [4, 8, 16, 32, 64, 128]
|
|
|
|
def getError(self):
|
|
#Test function
|
|
phi = lambda x: np.cos(0.5*np.pi*x)
|
|
j_fun = lambda x: -0.5*np.pi*np.sin(0.5*np.pi*x)
|
|
q_fun = lambda x: -0.25*(np.pi**2)*np.cos(0.5*np.pi*x)
|
|
|
|
xc_ana = phi(self.M.gridCC)
|
|
q_ana = q_fun(self.M.gridCC)
|
|
j_ana = j_fun(self.M.gridFx)
|
|
|
|
#TODO: Check where our boundary conditions are CCx or Nx
|
|
vecN = self.M.vectorNx
|
|
vecC = self.M.vectorCCx
|
|
|
|
phi_bc = phi(vecC[[0,-1]])
|
|
j_bc = j_fun(vecN[[0,-1]])
|
|
|
|
P, Pin, Pout = self.M.getBCProjWF([['dirichlet', 'neumann']])
|
|
|
|
Mc = self.M.getFaceInnerProduct()
|
|
McI = Utils.sdInv(self.M.getFaceInnerProduct())
|
|
V = Utils.sdiag(self.M.vol)
|
|
G = -Pin.T*Pin*self.M.faceDiv.T * V
|
|
D = self.M.faceDiv
|
|
j = McI*(G*xc_ana + P*phi_bc)
|
|
q = V*D*Pin.T*Pin*j + V*D*Pout.T*j_bc
|
|
|
|
# Rearrange if we know q to solve for x
|
|
A = V*D*Pin.T*Pin*McI*G
|
|
rhs = V*q_ana - V*D*Pin.T*Pin*McI*P*phi_bc - V*D*Pout.T*j_bc
|
|
# A = D*McI*G
|
|
# rhs = q_ana - D*McI*P*phi_bc
|
|
|
|
|
|
if self.myTest == 'j':
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
elif self.myTest == 'q':
|
|
err = np.linalg.norm((q-V*q_ana), np.inf)
|
|
elif self.myTest == 'xc':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
err = np.linalg.norm((xc-xc_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
elif self.myTest == 'xcJ':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
j = McI*(G*xc + P*phi_bc)
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
return err
|
|
|
|
def test_orderJ(self):
|
|
self.name = "1D - InhomogeneousMixed_Forward j"
|
|
self.myTest = 'j'
|
|
self.orderTest()
|
|
|
|
def test_orderQ(self):
|
|
self.name = "1D - InhomogeneousMixed_Forward q"
|
|
self.myTest = 'q'
|
|
self.orderTest()
|
|
|
|
def test_orderXJ(self):
|
|
self.name = "1D - InhomogeneousMixed_Inverse J"
|
|
self.myTest = 'xcJ'
|
|
self.orderTest()
|
|
|
|
class Test2D_InhomogeneousMixed(Tests.OrderTest):
|
|
name = "2D - Mixed"
|
|
meshTypes = MESHTYPES
|
|
meshDimension = 2
|
|
expectedOrders = 2
|
|
meshSizes = [2, 4, 8, 16]
|
|
# meshSizes = [4]
|
|
|
|
def getError(self):
|
|
#Test function
|
|
phi = lambda x: np.cos(0.5*np.pi*x[:,0])*np.cos(0.5*np.pi*x[:,1])
|
|
j_funX = lambda x: -0.5*np.pi*np.sin(0.5*np.pi*x[:,0])*np.cos(0.5*np.pi*x[:,1])
|
|
j_funY = lambda x: -0.5*np.pi*np.cos(0.5*np.pi*x[:,0])*np.sin(0.5*np.pi*x[:,1])
|
|
q_fun = lambda x: -2*((0.5*np.pi)**2)*phi(x)
|
|
|
|
xc_ana = phi(self.M.gridCC)
|
|
q_ana = q_fun(self.M.gridCC)
|
|
jX_ana = j_funX(self.M.gridFx)
|
|
jY_ana = j_funY(self.M.gridFy)
|
|
j_ana = np.r_[jX_ana,jY_ana]
|
|
|
|
#TODO: Check where our boundary conditions are CCx or Nx
|
|
|
|
cxm,cxp,cym,cyp = self.M.cellBoundaryInd
|
|
fxm,fxp,fym,fyp = self.M.faceBoundaryInd
|
|
|
|
gBFx = self.M.gridFx[(fxm|fxp),:]
|
|
gBFy = self.M.gridFy[(fym|fyp),:]
|
|
|
|
gBCx = self.M.gridCC[(cxm|cxp),:]
|
|
gBCy = self.M.gridCC[(cym|cyp),:]
|
|
|
|
phi_bc = phi(np.r_[gBCx,gBCy])
|
|
j_bc = np.r_[j_funX(gBFx), j_funY(gBFy)]
|
|
|
|
# P = sp.csr_matrix(([-1,1],([0,self.M.nF-1],[0,1])), shape=(self.M.nF, 2))
|
|
|
|
P, Pin, Pout = self.M.getBCProjWF([['dirichlet', 'neumann'], ['dirichlet', 'neumann']])
|
|
|
|
Mc = self.M.getFaceInnerProduct()
|
|
McI = Utils.sdInv(self.M.getFaceInnerProduct())
|
|
V = Utils.sdiag(self.M.vol)
|
|
G = -Pin.T*Pin*self.M.faceDiv.T * V
|
|
D = self.M.faceDiv
|
|
j = McI*(G*xc_ana + P*phi_bc)
|
|
q = V*D*Pin.T*Pin*j + V*D*Pout.T*j_bc
|
|
|
|
# Rearrange if we know q to solve for x
|
|
A = V*D*Pin.T*Pin*McI*G
|
|
rhs = V*q_ana - V*D*Pin.T*Pin*McI*P*phi_bc - V*D*Pout.T*j_bc
|
|
|
|
if self.myTest == 'j':
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
elif self.myTest == 'q':
|
|
err = np.linalg.norm((q-V*q_ana), np.inf)
|
|
elif self.myTest == 'xc':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
err = np.linalg.norm((xc-xc_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
elif self.myTest == 'xcJ':
|
|
#TODO: fix the null space
|
|
xc, info = sp.linalg.minres(A, rhs, tol = 1e-6)
|
|
j = McI*(G*xc + P*phi_bc)
|
|
err = np.linalg.norm((Pin*j-Pin*j_ana), np.inf)
|
|
if info > 0:
|
|
print 'Solve does not work well'
|
|
print 'ACCURACY', np.linalg.norm(Utils.mkvc(A*xc) - rhs)
|
|
return err
|
|
|
|
def test_orderJ(self):
|
|
self.name = "2D - InhomogeneousMixed_Forward j"
|
|
self.myTest = 'j'
|
|
self.orderTest()
|
|
|
|
def test_orderQ(self):
|
|
self.name = "2D - InhomogeneousMixed_Forward q"
|
|
self.myTest = 'q'
|
|
self.orderTest()
|
|
|
|
def test_orderXJ(self):
|
|
self.name = "2D - InhomogeneousMixed_Inverse J"
|
|
self.myTest = 'xcJ'
|
|
self.orderTest()
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|