def test_bot_vs_time_top_vs_time_drn_1(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 1, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a, 'top_vs_time': [self.top_vs_time], 'bot_vs_time':[self.bot_vs_time]}),
np.array([[ 0.81245149, 0.40883755],
[ 1.19316194, 0.60041665],
[ 0.99156737, 0.4989713 ]]))
def test_bot_vs_time_top_vs_time_drn_1_double_loads(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 1, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a, 'top_vs_time': [self.top_vs_time,self.top_vs_time], 'bot_vs_time':[self.bot_vs_time,self.bot_vs_time]}),
np.array([[ 1.62490297, 0.8176751 ],
[ 2.38632387, 1.20083331],
[ 1.98313474, 0.9979426 ]]))
def test_bot_vs_time_drn_0(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 0, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a, 'top_vs_time': None, 'bot_vs_time':[self.bot_vs_time]}),
np.array([[ 0.33149221, 0.16681176],
[ 0.47035029, 0.23668719],
[ 0.35375246, 0.17801345]]))
def test_top_vs_time_drn_1(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 1, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a, 'top_vs_time': [self.top_vs_time], 'bot_vs_time':None}),
np.array([[ 0.48095928, 0.24202579],
[ 0.72281165, 0.36372947],
[ 0.63781491, 0.32095785]]))
def test_top_vs_time_drn_0(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 0, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a, 'top_vs_time': [self.top_vs_time], 'bot_vs_time':None}),
np.array([[ 0.14946707, 0.07521403],
[ 0.25246136, 0.12704228],
[ 0.28406245, 0.14294441]]))
def test_no_BC(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 0, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a, 'top_vs_time': None, 'bot_vs_time':None}),
np.array([[ 0., 0.],
[ 0., 0.],
[ 0., 0.]]))
def test_bot_vs_time_drn_0_omega_phase(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 0, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a,
'top_vs_time': None,
'bot_vs_time':[self.bot_vs_time],
'bot_omega_phase': [self.omega_phase]}),
np.array([[-0.34729361, 0.56675657],
[-0.49277071, 0.80416404],
[-0.37061495, 0.60481521]]))
def test_top_vs_time_drn_0_omega_phase(self):
assert_allclose(dim1sin_E_Igamv_the_BC_aDfDt_linear(
**{'drn': 0, 'm': self.m, 'eigs':self.eigs, 'tvals':self.tvals,'Igamv':self.Igamv,
'a': self.a,
'top_vs_time': [self.top_vs_time],
'bot_vs_time':None,
'top_omega_phase': [self.omega_phase]}),
np.array([[-0.15659179, 0.2555458 ],
[-0.26449556, 0.4316365 ],
[-0.297603 , 0.48566529]]))
def gen_dim1sin_E_Igamv_the_BC_aDfDt_linear():
"""Test case generation for dim1sin_E_Igamv_the_BC_aDfDt_linear.
2014-03-22"""
#dim1sin_E_Igamv_the_BC_aDfDt_linear(drn, m, eigs, tvals, Igamv, a, top_vs_time, bot_vs_time, top_omega_phase=None, bot_omega_phase=None, dT=1.0):
outz = np.array([[0.2, 0.4], [0.4, 0.6]])
z1 = outz[:, 0]
z2 = outz[:, 1]
m = np.array([1.0,2.0, 3.0])
v_E_Igamv_the = np.ones((3,2), dtype=float)
tvals = np.array([1.0, 3])
top_vs_time = PolyLine([0,2,4],[0,2,2])
bot_vs_time = PolyLine([0,2,4],[0,2,2])
omega_phase = (1,2)
a = PolyLine([0, 1], [1, 2])# y = 1 + z
b = PolyLine([0, 1], [1, 2])# y = 1 + z
g = np.array([1.0,2.0])# this is interpolated from top_vs_time at t = 1, 3
Igamv = np.identity(3)
eigs = np.ones(3)
fn=OrderedDict()
fn['no_bc'] = {'drn': 0, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a, 'top_vs_time': None, 'bot_vs_time':None}
fn['top_vs_time_drn_0']={'drn': 0, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a, 'top_vs_time': [top_vs_time], 'bot_vs_time':None}
fn['top_vs_time_drn_1']={'drn': 1, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a, 'top_vs_time': [top_vs_time], 'bot_vs_time':None}
fn['bot_vs_time_drn_0']={'drn': 0, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a, 'top_vs_time': None,'bot_vs_time':[bot_vs_time]}
fn['bot_vs_time_top_vs_time_drn_1']={'drn': 1, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a, 'top_vs_time': [top_vs_time],'bot_vs_time':[bot_vs_time]}
fn['test_top_vs_time_drn_0_omega_phase']={'drn': 0, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a,
'top_vs_time': [top_vs_time],
'bot_vs_time':None,
'top_omega_phase': [omega_phase]}
fn['test_bot_vs_time_drn_0_omega_phase']={'drn': 0, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a,
'top_vs_time': None,
'bot_vs_time':[bot_vs_time],
'bot_omega_phase': [omega_phase]}
fn['bot_vs_time_top_vs_time_drn_1_double_loads']={'drn': 1, 'm': m, 'eigs':eigs, 'tvals':tvals,'Igamv':Igamv,
'a': a, 'top_vs_time': [top_vs_time, top_vs_time],'bot_vs_time':[bot_vs_time, bot_vs_time]}
# print(dim1sin_E_Igamv_the_BC_abf_linear(0,m,eigs,tvals,Igamv, a,b, top_vs_time=None, bot_vs_time=None))
for k, v in fn.items():
print(k)
print (dim1sin_E_Igamv_the_BC_aDfDt_linear(**v))
print('#'*10+'\n')
