minor: revert test_solver

Author: mrava87

tests/test_solver.py

@@ -90,7 +90,6 @@
 )
 def test_cg(par):
     """CG with MPIBlockDiag"""
-    np.random.seed(42)
     A = np.ones((par["ny"], par["nx"])) + par[
         "imag"] * np.ones((par["ny"], par["nx"]))
     Aop = MatrixMult(np.conj(A.T) @ A, dtype=par['dtype'])
@@ -127,7 +126,7 @@ def test_cg(par):
             x0 = None
         y1 = BDiag * x_global
         xinv1 = pylops.cg(BDiag, y1, x0=x0, niter=par["nx"], tol=1e-5, show=True)[0]
-        assert_allclose(xinv_array, xinv1, rtol=1e-12)
+        assert_allclose(xinv_array, xinv1, rtol=1e-14)
 
 
 @pytest.mark.mpi(min_size=2)
@@ -136,7 +135,6 @@ def test_cg(par):
 )
 def test_cgls(par):
     """CGLS with MPIBlockDiag"""
-    np.random.seed(42)
     A = np.ones((par["ny"], par["nx"])) + par[
         "imag"] * np.ones((par["ny"], par["nx"]))
     Aop = MatrixMult(np.conj(A.T) @ A + 1e-5 * np.eye(par["nx"], dtype=par['dtype']),
@@ -175,7 +173,7 @@ def test_cgls(par):
             x0 = None
         y1 = BDiag * x_global
         xinv1 = pylops.cgls(BDiag, y1, x0=x0, niter=par["nx"], tol=1e-5, show=True)[0]
-        assert_allclose(xinv_array, xinv1, rtol=1e-12)
+        assert_allclose(xinv_array, xinv1, rtol=1e-14)
 
 
 @pytest.mark.mpi(min_size=2)
@@ -184,7 +182,6 @@ def test_cgls(par):
 )
 def test_cgls_broadcastdata(par):
     """CGLS with broadcasted data vector"""
-    np.random.seed(42)
     A = (rank + 1) * np.ones((par["ny"], par["nx"])) + (rank + 2) * par[
         "imag"
     ] * np.ones((par["ny"], par["nx"]))
@@ -222,7 +219,7 @@ def test_cgls_broadcastdata(par):
             x0 = None
         y1 = Hstack @ x_global
         xinv1 = pylops.cgls(Hstack, y1, x0=x0, niter=par["nx"], tol=1e-5, show=True)[0]
-        assert_allclose(xinv_array, xinv1, rtol=1e-12)
+        assert_allclose(xinv_array, xinv1, rtol=1e-14)
 
 
 @pytest.mark.mpi(min_size=2)
@@ -231,7 +228,6 @@ def test_cgls_broadcastdata(par):
 )
 def test_cgls_broadcastmodel(par):
     """CGLS with broadcasted model vector"""
-    np.random.seed(42)
     A = np.ones((par["ny"], par["nx"])) + par[
         "imag"] * np.ones((par["ny"], par["nx"]))
     Aop = MatrixMult(np.conj(A.T) @ A + 1e-5 * np.eye(par["nx"], dtype=par['dtype']),
@@ -272,7 +268,7 @@ def test_cgls_broadcastmodel(par):
             x0 = None
         y1 = Vstack @ x_global
         xinv1 = pylops.cgls(Vstack, y1, x0=x0, niter=par["nx"], tol=1e-5, show=True)[0]
-        assert_allclose(xinv_array, xinv1, rtol=1e-12)
+        assert_allclose(xinv_array, xinv1, rtol=1e-14)
 
 
 @pytest.mark.mpi(min_size=2)
@@ -281,7 +277,6 @@ def test_cgls_broadcastmodel(par):
 )
 def test_cg_stacked(par):
     """CG with MPIStackedBlockDiag"""
-    np.random.seed(42)
     A = np.ones((par["ny"], par["nx"])) + par[
         "imag"] * np.ones((par["ny"], par["nx"]))
     Aop = MatrixMult(np.conj(A.T) @ A + 1e-5 * np.eye(par["nx"], dtype=par['dtype']),
@@ -336,7 +331,7 @@ def test_cg_stacked(par):
             x0 = None
         y1 = StackedBDiag * x_global
         xinv1 = pylops.cg(StackedBDiag, y1, x0=x0, niter=par["nx"], tol=1e-5, show=True)[0]
-        assert_allclose(xinv_array, xinv1, rtol=1e-12)
+        assert_allclose(xinv_array, xinv1, rtol=1e-14)
 
 
 @pytest.mark.mpi(min_size=2)
@@ -345,7 +340,6 @@ def test_cg_stacked(par):
 )
 def test_cgls_stacked(par):
     """CGLS with MPIStackedBlockDiag"""
-    np.random.seed(42)
     A = np.ones((par["ny"], par["nx"])) + par[
         "imag"] * np.ones((par["ny"], par["nx"]))
     Aop = MatrixMult(np.conj(A.T) @ A + 1e-5 * np.eye(par["nx"], dtype=par['dtype']),
@@ -402,4 +396,4 @@ def test_cgls_stacked(par):
             x0 = None
         y1 = StackedBDiag * x_global
         xinv1 = pylops.cgls(StackedBDiag, y1, x0=x0, niter=par["nx"], tol=1e-5, show=True)[0]
-        assert_allclose(xinv_array, xinv1, rtol=1e-12)
+        assert_allclose(xinv_array, xinv1, rtol=1e-14)