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')