Fix CI

Author: william-dawson

UnitTests/test_chemistry.py

@@ -26,7 +26,7 @@ def create_matrices(self):
         fock = rand(self.mat_dim, self.mat_dim, density=1.0)
         if self.is_complex:
             fock += 1j * rand(self.mat_dim, self.mat_dim, density=1.0)
-            fock = fock + fock.H
+            fock = fock + fock.getH()
         else:
             fock = fock + fock.T
         overlap = rand(self.mat_dim, self.mat_dim, density=1.0)
@@ -320,7 +320,7 @@ def test_wom_gc(self):
         we = [1.0/(1 + exp(beta*(x - mu))) for x in w]
 
         if self.is_complex:
-            DOrth = v @ diag(we) @ matrix(v).H
+            DOrth = v @ diag(we) @ matrix(v).getH()
         else:
             DOrth = v @ diag(we) @ v.T
         D = ISQ.dot(DOrth).dot(ISQ)
@@ -381,7 +381,7 @@ def test_wom_c(self):
         while abs(trace(DOrth) - self.nel) > 1e-12:
             we = [1.0/(1 + exp(beta*(x - mu))) for x in w]
             if self.is_complex:
-                DOrth = v @ diag(we) @ matrix(v).H
+                DOrth = v @ diag(we) @ matrix(v).getH()
             else:
                 DOrth = v @ diag(we) @ v.T
         D = ISQ.dot(DOrth).dot(ISQ)

UnitTests/test_matrix.py

@@ -114,7 +114,7 @@ def test_readsymmetric(self):
         '''Test routines to read and write matrices.'''
         for param in self.parameters:
             matrix1 = param.create_matrix(complex=self.complex, square=True)
-            matrix1 = matrix1 + matrix1.H
+            matrix1 = matrix1 + matrix1.getH()
             mmwrite(self.file1, matrix1)
             matrix2 = self.SMatrix(self.file1)
             matrix2.WriteToMatrixMarket(self.file2)
@@ -226,7 +226,7 @@ def test_multiply(self):
         from random import uniform
         for param in self.parameters:
             matrix1 = param.create_matrix(complex=self.complex)
-            matrix2 = param.create_matrix(complex=self.complex).H
+            matrix2 = param.create_matrix(complex=self.complex).getH()
             mmwrite(self.file1, matrix1)
             mmwrite(self.file2, matrix2)
             alpha = uniform(1.0, 2.0)
@@ -254,7 +254,7 @@ def test_multiply_nt(self):
         from random import uniform
         for param in self.parameters:
             matrix1 = param.create_matrix(complex=self.complex)
-            matrix2 = param.create_matrix(complex=self.complex).H
+            matrix2 = param.create_matrix(complex=self.complex).getH()
             mmwrite(self.file1, matrix1)
             mmwrite(self.file2, matrix2.T)
             alpha = uniform(1.0, 2.0)

UnitTests/test_psmatrix.py

@@ -577,7 +577,7 @@ def test_conjugatetranspose(self):
             matrix1 = param.create_matrix(self.complex)
             self.write_matrix(matrix1, self.input_file1)
 
-            self.CheckMat = matrix1.H
+            self.CheckMat = matrix1.getH()
 
             ntmatrix1 = nt.Matrix_ps(self.input_file1, False)
             ntmatrix2 = nt.Matrix_ps(ntmatrix1.GetActualDimension())

UnitTests/test_psmatrixalgebra.py

@@ -300,7 +300,7 @@ def test_asymmetry(self):
             else:
                 ntmatrix1 = nt.Matrix_ps(param.rows)
 
-            diff = matrix1 - matrix1.H
+            diff = matrix1 - matrix1.getH()
             ref = norm(diff.todense(), ord=inf)
             comp = ntmatrix1.MeasureAsymmetry()
             comm.barrier()
@@ -320,7 +320,7 @@ def test_symmetrize(self):
             else:
                 ntmatrix1 = nt.Matrix_ps(param.rows)
 
-            self.CheckMat = 0.5 * (matrix1 + matrix1.H)
+            self.CheckMat = 0.5 * (matrix1 + matrix1.getH())
             ntmatrix1 = nt.Matrix_ps(self.input_file1, False)
             ntmatrix1.Symmetrize()
             ntmatrix1.WriteToMatrixMarket(self.result_file)

UnitTests/test_solvers.py

@@ -663,7 +663,7 @@ def test_hornerfunction(self):
             val[i] = 0
             for j in range(0, len(coef)):
                 val[i] = val[i] + coef[j] * (temp**j)
-        temp_poly = dot(dot(vec, diag(val)), vec.H)
+        temp_poly = dot(dot(vec, diag(val)), vec.getH())
         self.CheckMat = csr_matrix(temp_poly)
 
         # Result Matrix
@@ -702,7 +702,7 @@ def test_patersonstockmeyerfunction(self):
             val[i] = 0
             for j in range(0, len(coef)):
                 val[i] = val[i] + coef[j] * (temp**j)
-        temp_poly = dot(dot(vec, diag(val)), vec.H)
+        temp_poly = dot(dot(vec, diag(val)), vec.getH())
         self.CheckMat = csr_matrix(temp_poly)
 
         # Result Matrix
@@ -1189,16 +1189,16 @@ def create_matrix(self, SPD=None, scaled=None, diag_dom=None, rank=None,
         from numpy import diag
         mat = rand(self.mat_dim, self.mat_dim, density=1.0)
         mat += 1j * rand(self.mat_dim, self.mat_dim, density=1.0)
-        mat = mat + mat.H
+        mat = mat + mat.getH()
         if SPD:
-            mat = mat.H.dot(mat)
+            mat = mat.getH().dot(mat)
         if diag_dom:
             identity_matrix = identity(self.mat_dim)
             mat = mat + identity_matrix * self.mat_dim
         if scaled:
             mat = (1.0 / self.mat_dim) * mat
         if rank:
-            mat = mat[rank:].dot(mat[rank:].H)
+            mat = mat[rank:].dot(mat[rank:].getH())
         if add_gap:
             w, v = eigh(mat.todense())
             gap = (w[-1] - w[0]) / 2.0