def test3(self):
pw = PowerWind()
pw.Uref = 10.0
pw.zref = 100.0
pw.z0 = 0.0
pw.z = np.linspace(-10.0, 90.0, 20)
pw.shearExp = 0.2
pw.betaWind = 5.0
names, errors = check_gradient(pw)
tol = 1e-6
for name, err in zip(names, errors):
try:
self.assertLessEqual(err, tol)
except AssertionError, e:
print "*** error in:", name
raise e
def test3(self):
pw = PowerWind()
pw.Uref = 10.0
pw.zref = 100.0
pw.z0 = 0.0
pw.z = np.linspace(-10.0, 90.0, 20)
pw.shearExp = 0.2
pw.betaWind = 5.0
names, errors = check_gradient(pw)
tol = 1e-6
for name, err in zip(names, errors):
try:
self.assertLessEqual(err, tol)
except AssertionError, e:
print '*** error in:', name
raise e
def test1(self):
pw = PowerWind()
pw.Uref = 10.0
pw.zref = 100.0
pw.z0 = 0.0
pw.z = np.linspace(0.0, 100.0, 20)
pw.shearExp = 0.2
pw.betaWind = 0.0
names, errors = check_gradient(pw)
tol = 1e-6
for name, err in zip(names, errors):
if name == "d_U[0] / d_z[0]":
continue # the derivative at z==0 is a discontinuity. this node must not move in the optimization
try:
self.assertLessEqual(err, tol)
except AssertionError, e:
print "*** error in:", name
raise e
def test1(self):
pw = PowerWind()
pw.Uref = 10.0
pw.zref = 100.0
pw.z0 = 0.0
pw.z = np.linspace(0.0, 100.0, 20)
pw.shearExp = 0.2
pw.betaWind = 0.0
names, errors = check_gradient(pw)
tol = 1e-6
for name, err in zip(names, errors):
if name == 'd_U[0] / d_z[0]':
continue # the derivative at z==0 is a discontinuity. this node must not move in the optimization
try:
self.assertLessEqual(err, tol)
except AssertionError, e:
print '*** error in:', name
raise e
