STY: Fix indentation.

stefanv · Feb 20, 2012 · 3a64a52 · 3a64a52
1 parent 2183a0f
commit 3a64a52
Showing 1 changed file with 27 additions and 27 deletions.
diff --git a/scipy/sparse/linalg/isolve/tests/test_lsmr.py b/scipy/sparse/linalg/isolve/tests/test_lsmr.py
@@ -78,33 +78,33 @@ def testNormx(self):
         assert_almost_equal(normx, norm(x))
 
 def lowerBidiagonalMatrix(m, n):
-  # This is a simple example for testing LSMR.
-  # It uses the leading m*n submatrix from
-  # A = [ 1
-  #       1 2
-  #         2 3
-  #           3 4
-  #             ...
-  #               n ]
-  # suitably padded by zeros.
-  #
-  # 04 Jun 2010: First version for distribution with lsmr.py
-  if m <= n:
-    row = hstack((arange(m, dtype=int), \
-                  arange(1, m, dtype=int)))
-    col = hstack((arange(m, dtype=int), \
-                  arange(m-1, dtype=int)))
-    data = hstack((arange(1, m+1, dtype=float), \
-                   arange(1,m, dtype=float)))
-    return coo_matrix((data, (row, col)), shape=(m,n))
-  else:
-    row = hstack((arange(n, dtype=int), \
-                  arange(1, n+1, dtype=int)))
-    col = hstack((arange(n, dtype=int), \
-                  arange(n, dtype=int)))
-    data = hstack((arange(1, n+1, dtype=float), \
-                   arange(1,n+1, dtype=float)))
-    return coo_matrix((data,(row, col)), shape=(m,n))
+    # This is a simple example for testing LSMR.
+    # It uses the leading m*n submatrix from
+    # A = [ 1
+    #       1 2
+    #         2 3
+    #           3 4
+    #             ...
+    #               n ]
+    # suitably padded by zeros.
+    #
+    # 04 Jun 2010: First version for distribution with lsmr.py
+    if m <= n:
+        row = hstack((arange(m, dtype=int), \
+                      arange(1, m, dtype=int)))
+        col = hstack((arange(m, dtype=int), \
+                      arange(m-1, dtype=int)))
+        data = hstack((arange(1, m+1, dtype=float), \
+                       arange(1,m, dtype=float)))
+        return coo_matrix((data, (row, col)), shape=(m,n))
+    else:
+        row = hstack((arange(n, dtype=int), \
+                      arange(1, n+1, dtype=int)))
+        col = hstack((arange(n, dtype=int), \
+                      arange(n, dtype=int)))
+        data = hstack((arange(1, n+1, dtype=float), \
+                       arange(1,n+1, dtype=float)))
+        return coo_matrix((data,(row, col)), shape=(m,n))
 
 def lsmrtest(m, n, damp):
     """Verbose testing of lsmr"""