[Scipy-svn] r6811 - in trunk/scipy/sparse/linalg/dsolve: . tests

scipy-svn@scip... scipy-svn@scip...
Fri Sep 17 23:41:54 CDT 2010


Author: warren.weckesser
Date: 2010-09-17 23:41:54 -0500 (Fri, 17 Sep 2010)
New Revision: 6811

Modified:
   trunk/scipy/sparse/linalg/dsolve/linsolve.py
   trunk/scipy/sparse/linalg/dsolve/tests/test_linsolve.py
Log:
sparse: update some 'raise' statements; a few other minor tweaks

Modified: trunk/scipy/sparse/linalg/dsolve/linsolve.py
===================================================================
--- trunk/scipy/sparse/linalg/dsolve/linsolve.py	2010-09-17 13:43:22 UTC (rev 6810)
+++ trunk/scipy/sparse/linalg/dsolve/linsolve.py	2010-09-18 04:41:54 UTC (rev 6811)
@@ -51,7 +51,7 @@
         if max( b.shape ) == b.size:
             b = b.squeeze()
         else:
-            raise ValueError, "rhs must be a vector (has shape %s)" % (b.shape,)
+            raise ValueError("rhs must be a vector (has shape %s)" % (b.shape,))
 
     if not (isspmatrix_csc(A) or isspmatrix_csr(A)):
         A = csc_matrix(A)
@@ -64,18 +64,18 @@
     if (M != N):
         raise ValueError("matrix must be square (has shape %s)" % ((M, N),))
     if M != b.size:
-        raise ValueError("matrix - rhs size mismatch (%s - %s)"\
+        raise ValueError("matrix - rhs size mismatch (%s - %s)"
               % (A.shape, b.size))
 
     use_umfpack = use_umfpack and useUmfpack
 
     if isUmfpack and use_umfpack:
         if noScikit:
-            warn( 'scipy.sparse.linalg.dsolve.umfpack will be removed,'\
+            warn( 'scipy.sparse.linalg.dsolve.umfpack will be removed,'
                     ' install scikits.umfpack instead', DeprecationWarning )
         if A.dtype.char not in 'dD':
-            raise ValueError, "convert matrix data to double, please, using"\
-                  " .astype(), or set linsolve.useUmfpack = False"
+            raise ValueError("convert matrix data to double, please, using"
+                  " .astype(), or set linsolve.useUmfpack = False")
 
         b = asarray(b, dtype=A.dtype).reshape(-1)
 
@@ -163,7 +163,7 @@
 
     M, N = A.shape
     if (M != N):
-        raise ValueError, "can only factor square matrices" #is this true?
+        raise ValueError("can only factor square matrices") #is this true?
 
     _options = dict(DiagPivotThresh=diag_pivot_thresh, ColPerm=permc_spec,
                     PanelSize=panel_size, Relax=relax)
@@ -233,7 +233,7 @@
 
     M, N = A.shape
     if (M != N):
-        raise ValueError, "can only factor square matrices" #is this true?
+        raise ValueError("can only factor square matrices") #is this true?
 
     _options = dict(ILU_DropRule=drop_rule, ILU_DropTol=drop_tol,
                     ILU_FillFactor=fill_factor,
@@ -255,7 +255,7 @@
     """
     if isUmfpack and useUmfpack:
         if noScikit:
-            warn( 'scipy.sparse.linalg.dsolve.umfpack will be removed,'\
+            warn( 'scipy.sparse.linalg.dsolve.umfpack will be removed,'
                     ' install scikits.umfpack instead', DeprecationWarning )
 
         if not isspmatrix_csc(A):
@@ -266,8 +266,8 @@
         A = A.asfptype()  #upcast to a floating point format
 
         if A.dtype.char not in 'dD':
-            raise ValueError, "convert matrix data to double, please, using"\
-                  " .astype(), or set linsolve.useUmfpack = False"
+            raise ValueError("convert matrix data to double, please, using"
+                  " .astype(), or set linsolve.useUmfpack = False")
 
         family = {'d' : 'di', 'D' : 'zi'}
         umf = umfpack.UmfpackContext( family[A.dtype.char] )

Modified: trunk/scipy/sparse/linalg/dsolve/tests/test_linsolve.py
===================================================================
--- trunk/scipy/sparse/linalg/dsolve/tests/test_linsolve.py	2010-09-17 13:43:22 UTC (rev 6810)
+++ trunk/scipy/sparse/linalg/dsolve/tests/test_linsolve.py	2010-09-18 04:41:54 UTC (rev 6811)
@@ -37,7 +37,7 @@
 
                 x = spsolve(Asp,b)
 
-                assert( norm(b - Asp*x) < 10 * cond_A * eps )
+                assert_( norm(b - Asp*x) < 10 * cond_A * eps )
 
     def test_smoketest(self):
         Adense = matrix([[ 0.,  1.,  1.],
@@ -52,9 +52,14 @@
         assert_array_almost_equal(x, x2)
 
     def test_non_square(self):
+        # A is not square.
         A = ones((3, 4))
         b = ones((4, 1))
         assert_raises(ValueError, spsolve, A, b)
+        # A2 and b2 have incompatible shapes.
+        A2 = csc_matrix(eye(3))
+        b2 = array([1.0, 2.0])
+        assert_raises(ValueError, spsolve, A2, b2)
 
 class TestSplu(object):
     def setUp(self):



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