def test_load_and_save_H():
print "\n-- 'load_H', 'save_H'"
H, _, _ = load_H(join(data_directory, 'Torus_H.csv'), zeroindexing=False)
print "Loaded H: \n", H
print "Shape: ", H.shape
filename2 = 'Torus_H2.csv'
print "Saving and loading can lead to different precision"
save_H(join(data_directory, filename2), H)
H, _, _ = load_H(join(data_directory, filename2))
print H
print "Shape: ", H.shape
save_H(join(data_directory, 'Torus_H3.csv'), H)
print "\nLoading always leads to float"
H = np.array([[1, 2, 3], [4, 5, 6]]) # change 6 to 6.5
print "Original H:\n", H
print "Shape: ", H.shape
filename3 = 'test_load_and_save_H.csv'
save_H(join(data_directory, filename3), H, delimiter=' ')
H, _, _ = load_H(join(data_directory, filename3), delimiter=None)
print "Loaded H:\n", H
print "Shape: ", H.shape
def test_load_and_save_H():
print "\n-- 'load_H', 'save_H'"
H, _, _ = load_H(join(data_directory, 'Torus_H.csv'), zeroindexing=False)
print "Loaded H: \n", H
print "Shape: ", H.shape
filename2 = 'Torus_H2.csv'
print "Saving and loading can lead to different precision"
save_H(join(data_directory, filename2), H)
H, _, _ = load_H(join(data_directory, filename2))
print H
print "Shape: ", H.shape
save_H(join(data_directory, 'Torus_H3.csv'), H)
print "\nLoading always leads to float"
H = np.array([[1, 2, 3],
[4, 5, 6]]) # change 6 to 6.5
print "Original H:\n", H
print "Shape: ", H.shape
filename3 = 'test_load_and_save_H.csv'
save_H(join(data_directory, filename3), H, delimiter=' ')
H, _, _ = load_H(join(data_directory, filename3), delimiter=None)
print "Loaded H:\n", H
print "Shape: ", H.shape
def test_eps_convergence_linbp_Torus():
print "\n-- 'eps_convergence_linbp' for Torus ---"
W, n = load_W(join(data_directory, 'Torus_W.csv'), zeroindexing=False)
print 'W dense:\n', W.todense()
print 'W:\n', W
Hc, k, _ = load_H(join(data_directory, 'Torus_H.csv'), zeroindexing=False)
print "H\n", Hc
print
# Simple spectral = 0.658
start = time.time()
eps = eps_convergence_linbp(Hc, W)
end = time.time()-start
print "Eps:", eps
print "Time needed:", end
# Echo spectral = 0.488
start = time.time()
eps = eps_convergence_linbp(Hc, W, echo=True)
end = time.time()-start
print "Eps:", eps
print "Time needed:", end
def test_eps_convergence_linbp_Torus():
print "\n-- 'eps_convergence_linbp' for Torus ---"
W, n = load_W(join(data_directory, 'Torus_W.csv'), zeroindexing=False)
print 'W dense:\n', W.todense()
print 'W:\n', W
Hc, k, _ = load_H(join(data_directory, 'Torus_H.csv'), zeroindexing=False)
print "H\n", Hc
print
# Simple spectral = 0.658
start = time.time()
eps = eps_convergence_linbp(Hc, W)
end = time.time() - start
print "Eps:", eps
print "Time needed:", end
# Echo spectral = 0.488
start = time.time()
eps = eps_convergence_linbp(Hc, W, echo=True)
end = time.time() - start
print "Eps:", eps
print "Time needed:", end
