def test_n_eigen_circular_02(self):
mseed = 2963416
ce = Circular()
e_cue = ce._n_eigen_circular(
seed=mseed,
N=5,
size=3,
ensemble='CUE',
set_seed=True
)
e_coe = ce._n_eigen_circular(
seed=mseed,
N=10,
size=3,
ensemble='COE',
set_seed=True
)
e_cse = ce._n_eigen_circular(
seed=mseed,
N=15,
size=3,
ensemble='CSE',
set_seed=True
)
n_cue = np.imag(e_cue['c_eigen']).sum()
n_coe = np.imag(e_coe['c_eigen']).sum()
n_cse = np.imag(e_cse['c_eigen']).sum()
self.assertTrue(n_cue-3.595377495197345 < self.epsilon)
self.assertTrue(n_coe+0.204101331653192 < self.epsilon)
self.assertTrue(np.abs(n_cse) < self.epsilon)
def test_n_eigen_circular_01(self):
mseed = 2963416
ce = Circular()
e_cue = ce._n_eigen_circular(
seed=mseed,
N=5,
size=1,
ensemble='CUE',
set_seed=True
)
e_coe = ce._n_eigen_circular(
seed=mseed,
N=10,
size=1,
ensemble='COE',
set_seed=True
)
e_cse = ce._n_eigen_circular(
seed=mseed,
N=15,
size=1,
ensemble='CSE',
set_seed=True
)
n_cue = np.imag(e_cue['c_eigen']).sum()
n_coe = np.imag(e_coe['c_eigen']).sum()
n_cse = np.imag(e_cse['c_eigen']).sum()
self.assertTrue(n_cue-1.198459165065781 < self.epsilon)
self.assertTrue(n_coe+0.068033777217730 < self.epsilon)
self.assertTrue(np.abs(n_cse)< self.epsilon)
def test_n_eigen_circular_02(self):
mseed = 2963416
ce = Circular()
e_cue = ce._n_eigen_circular(seed=mseed,
N=5,
size=3,
ensemble='CUE',
set_seed=True)
e_coe = ce._n_eigen_circular(seed=mseed,
N=10,
size=3,
ensemble='COE',
set_seed=True)
e_cse = ce._n_eigen_circular(seed=mseed,
N=15,
size=3,
ensemble='CSE',
set_seed=True)
n_cue = np.imag(e_cue['c_eigen']).sum()
n_coe = np.imag(e_coe['c_eigen']).sum()
n_cse = np.imag(e_cse['c_eigen']).sum()
self.assertTrue(n_cue + 2.1073921227457482 < self.epsilon)
self.assertTrue(n_coe - 0.0716445620241715 < self.epsilon)
self.assertTrue(np.abs(n_cse) < self.epsilon)
def test_n_eigen_circular_01(self):
mseed = 2963416
ce = Circular()
e_cue = ce._n_eigen_circular(seed=mseed,
N=5,
size=1,
ensemble='CUE',
set_seed=True)
e_coe = ce._n_eigen_circular(seed=mseed,
N=10,
size=1,
ensemble='COE',
set_seed=True)
e_cse = ce._n_eigen_circular(seed=mseed,
N=15,
size=1,
ensemble='CSE',
set_seed=True)
n_cue = np.imag(e_cue['c_eigen']).sum()
n_coe = np.imag(e_coe['c_eigen']).sum()
n_cse = np.imag(e_cse['c_eigen']).sum()
self.assertTrue(n_cue - 0.70246404091524939 < self.epsilon)
self.assertTrue(n_coe - 0.02388152067472389 < self.epsilon)
self.assertTrue(np.abs(n_cse) < self.epsilon)