def test_calc_p0(self):
mat = supermatrix_ex('4x4ex1')
info = rs.calcp0(mat, 0, cluster_nodes=None, orig=0.2, p0mode=1)
print(info)
info = rs.calcp0(mat, 0, cluster_nodes=None, orig=0.2, p0mode=2)
print(info)
info = rs.calcp0(mat, 0, cluster_nodes=None, orig=0.2, p0mode=3)
print(info)
def test_rowadjust_cluster(self):
mat = supermatrix_ex('4x4ex1')
mat = normalize(mat)
#print(mat)
#Adjust very near 1, so row has most of cluster weight
adj = rs.row_adjust(mat, 0, 0.99999, [0, 1], False)
np.testing.assert_almost_equal(adj[0,0], 0.5, decimal=4)
np.testing.assert_almost_equal(adj[1,0], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[2,0]/adj[3,0], mat[2,0]/mat[3,0], decimal=12)
np.testing.assert_almost_equal(adj[0,1], 0.55, decimal=4)
np.testing.assert_almost_equal(adj[1,1], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[2,1]/adj[3,1], mat[2,1]/mat[3,1], decimal=12)
np.testing.assert_almost_equal(adj[0,2], 0.3, decimal=4)
np.testing.assert_almost_equal(adj[1,2], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[2,2]/adj[3,2], mat[2,2]/mat[3,2], decimal=12)
np.testing.assert_almost_equal(adj[0,3], 0.25, decimal=4)
np.testing.assert_almost_equal(adj[1,3], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[2,3]/adj[3,3], mat[2,3]/mat[3,3], decimal=12)
#Now Adjust very near 0, so row has none of cluster weight
adj = rs.row_adjust(mat, 0, 0.000001, [0, 1], False)
np.testing.assert_almost_equal(adj[0,0], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[1,0], 0.5, decimal=4)
np.testing.assert_almost_equal(adj[2,0]/adj[3,0], mat[2,0]/mat[3,0], decimal=12)
np.testing.assert_almost_equal(adj[0,1], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[1,1], 0.55, decimal=4)
np.testing.assert_almost_equal(adj[2,1]/adj[3,1], mat[2,1]/mat[3,1], decimal=12)
np.testing.assert_almost_equal(adj[0,2], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[1,2], 0.3, decimal=4)
np.testing.assert_almost_equal(adj[2,2]/adj[3,2], mat[2,2]/mat[3,2], decimal=12)
np.testing.assert_almost_equal(adj[0,3], 0.0, decimal=4)
np.testing.assert_almost_equal(adj[1,3], 0.25, decimal=4)
np.testing.assert_almost_equal(adj[2,3]/adj[3,3], mat[2,3]/mat[3,3], decimal=12)
def test_bill1(self):
mat = supermatrix_ex("4x4ex1")
#print(mat)
self.assertEqual(len(mat), 4)
self.assertEqual(mat[0, 0], 0.2)
def test_elena1_1(self):
mat = supermatrix_ex("SD_BigBurger30x30-1.1")
print(mat)
self.assertEqual(len(mat), 30)
self.assertEqual(mat[0, 0], 0.)
def test_rowsens(self):
mat = supermatrix_ex('3x3ex1')
adj = rs.row_adjust(mat, 0, 0.95, None)
print(adj)
def test_influence_rank(self):
mat = supermatrix_ex('4x4ex1')
influence_info = rs.influence_rank(mat, 0)
np.testing.assert_almost_equal(influence_info, 0.9841769522094728)