2to3: Apply `print` fixer.

Add `print_function` to all `from __future__ import ...` statements
and use the python3 print function syntax everywhere.

Closes #3078.

1 files changed, 31 insertions, 31 deletions

diff --git a/doc/swig/test/testTensor.py b/doc/swig/test/testTensor.py
index cd9cada46..b6dd2e98a 100755
--- a/doc/swig/test/testTensor.py
+++ b/doc/swig/test/testTensor.py
@@ -1,5 +1,5 @@
 #! /usr/bin/env python
-from __future__ import division, absolute_import
+from __future__ import division, absolute_import, print_function
 
 # System imports
 from   distutils.util import get_platform
@@ -29,7 +29,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
     def testNorm(self):
         "Test norm function"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         norm = Tensor.__dict__[self.typeStr + "Norm"]
         tensor = [[[0,1], [2,3]],
                   [[3,2], [1,0]]]
@@ -41,7 +41,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
     def testNormBadList(self):
         "Test norm function with bad list"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         norm = Tensor.__dict__[self.typeStr + "Norm"]
         tensor = [[[0,"one"],[2,3]],
                   [[3,"two"],[1,0]]]
@@ -50,7 +50,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
     def testNormWrongDim(self):
         "Test norm function with wrong dimensions"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         norm = Tensor.__dict__[self.typeStr + "Norm"]
         tensor = [[0,1,2,3],
                   [3,2,1,0]]
@@ -59,7 +59,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
     def testNormWrongSize(self):
         "Test norm function with wrong size"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         norm = Tensor.__dict__[self.typeStr + "Norm"]
         tensor = [[[0,1,0], [2,3,2]],
                   [[3,2,3], [1,0,1]]]
@@ -68,14 +68,14 @@ class TensorTestCase(unittest.TestCase):
     # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
     def testNormNonContainer(self):
         "Test norm function with non-container"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         norm = Tensor.__dict__[self.typeStr + "Norm"]
         self.assertRaises(TypeError, norm, None)
 
     # Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testMax(self):
         "Test max function"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         max = Tensor.__dict__[self.typeStr + "Max"]
         tensor = [[[1,2], [3,4]],
                   [[5,6], [7,8]]]
@@ -84,7 +84,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testMaxBadList(self):
         "Test max function with bad list"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         max = Tensor.__dict__[self.typeStr + "Max"]
         tensor = [[[1,"two"], [3,4]],
                   [[5,"six"], [7,8]]]
@@ -93,21 +93,21 @@ class TensorTestCase(unittest.TestCase):
     # Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testMaxNonContainer(self):
         "Test max function with non-container"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         max = Tensor.__dict__[self.typeStr + "Max"]
         self.assertRaises(TypeError, max, None)
 
     # Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testMaxWrongDim(self):
         "Test max function with wrong dimensions"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         max = Tensor.__dict__[self.typeStr + "Max"]
         self.assertRaises(TypeError, max, [0, -1, 2, -3])
 
     # Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap
     def testMin(self):
         "Test min function"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         min = Tensor.__dict__[self.typeStr + "Min"]
         tensor = [[[9,8], [7,6]],
                   [[5,4], [3,2]]]
@@ -116,7 +116,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap
     def testMinBadList(self):
         "Test min function with bad list"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         min = Tensor.__dict__[self.typeStr + "Min"]
         tensor = [[["nine",8], [7,6]],
                   [["five",4], [3,2]]]
@@ -125,21 +125,21 @@ class TensorTestCase(unittest.TestCase):
     # Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap
     def testMinNonContainer(self):
         "Test min function with non-container"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         min = Tensor.__dict__[self.typeStr + "Min"]
         self.assertRaises(TypeError, min, True)
 
     # Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap
     def testMinWrongDim(self):
         "Test min function with wrong dimensions"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         min = Tensor.__dict__[self.typeStr + "Min"]
         self.assertRaises(TypeError, min, [[1,3],[5,7]])
 
     # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
     def testScale(self):
         "Test scale function"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         scale = Tensor.__dict__[self.typeStr + "Scale"]
         tensor = np.array([[[1,0,1], [0,1,0], [1,0,1]],
                           [[0,1,0], [1,0,1], [0,1,0]],
@@ -152,7 +152,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
     def testScaleWrongType(self):
         "Test scale function with wrong type"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         scale = Tensor.__dict__[self.typeStr + "Scale"]
         tensor = np.array([[[1,0,1], [0,1,0], [1,0,1]],
                           [[0,1,0], [1,0,1], [0,1,0]],
@@ -162,7 +162,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
     def testScaleWrongDim(self):
         "Test scale function with wrong dimensions"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         scale = Tensor.__dict__[self.typeStr + "Scale"]
         tensor = np.array([[1,0,1], [0,1,0], [1,0,1],
                           [0,1,0], [1,0,1], [0,1,0]],self.typeCode)
@@ -171,7 +171,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
     def testScaleWrongSize(self):
         "Test scale function with wrong size"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         scale = Tensor.__dict__[self.typeStr + "Scale"]
         tensor = np.array([[[1,0], [0,1], [1,0]],
                           [[0,1], [1,0], [0,1]],
@@ -181,14 +181,14 @@ class TensorTestCase(unittest.TestCase):
     # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
     def testScaleNonArray(self):
         "Test scale function with non-array"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         scale = Tensor.__dict__[self.typeStr + "Scale"]
         self.assertRaises(TypeError, scale, True)
 
     # Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testFloor(self):
         "Test floor function"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         floor = Tensor.__dict__[self.typeStr + "Floor"]
         tensor = np.array([[[1,2], [3,4]],
                           [[5,6], [7,8]]],self.typeCode)
@@ -199,7 +199,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testFloorWrongType(self):
         "Test floor function with wrong type"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         floor = Tensor.__dict__[self.typeStr + "Floor"]
         tensor = np.array([[[1,2], [3,4]],
                           [[5,6], [7,8]]],'c')
@@ -208,7 +208,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testFloorWrongDim(self):
         "Test floor function with wrong type"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         floor = Tensor.__dict__[self.typeStr + "Floor"]
         tensor = np.array([[1,2], [3,4], [5,6], [7,8]],self.typeCode)
         self.assertRaises(TypeError, floor, tensor)
@@ -216,14 +216,14 @@ class TensorTestCase(unittest.TestCase):
     # Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
     def testFloorNonArray(self):
         "Test floor function with non-array"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         floor = Tensor.__dict__[self.typeStr + "Floor"]
         self.assertRaises(TypeError, floor, object)
 
     # Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap
     def testCeil(self):
         "Test ceil function"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         ceil = Tensor.__dict__[self.typeStr + "Ceil"]
         tensor = np.array([[[9,8], [7,6]],
                           [[5,4], [3,2]]],self.typeCode)
@@ -234,7 +234,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap
     def testCeilWrongType(self):
         "Test ceil function with wrong type"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         ceil = Tensor.__dict__[self.typeStr + "Ceil"]
         tensor = np.array([[[9,8], [7,6]],
                           [[5,4], [3,2]]],'c')
@@ -243,7 +243,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap
     def testCeilWrongDim(self):
         "Test ceil function with wrong dimensions"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         ceil = Tensor.__dict__[self.typeStr + "Ceil"]
         tensor = np.array([[9,8], [7,6], [5,4], [3,2]], self.typeCode)
         self.assertRaises(TypeError, ceil, tensor)
@@ -251,7 +251,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap
     def testCeilNonArray(self):
         "Test ceil function with non-array"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         ceil = Tensor.__dict__[self.typeStr + "Ceil"]
         tensor = [[[9,8], [7,6]],
                   [[5,4], [3,2]]]
@@ -260,7 +260,7 @@ class TensorTestCase(unittest.TestCase):
     # Test (type ARGOUT_ARRAY3[ANY][ANY][ANY]) typemap
     def testLUSplit(self):
         "Test luSplit function"
-        print >>sys.stderr, self.typeStr, "... ",
+        print(self.typeStr, "... ", end=' ', file=sys.stderr)
         luSplit = Tensor.__dict__[self.typeStr + "LUSplit"]
         lower, upper = luSplit([[[1,1], [1,1]],
                                 [[1,1], [1,1]]])
@@ -395,8 +395,8 @@ if __name__ == "__main__":
     suite.addTest(unittest.makeSuite(   doubleTestCase))
 
     # Execute the test suite
-    print "Testing 3D Functions of Module Tensor"
-    print "NumPy version", np.__version__
-    print
+    print("Testing 3D Functions of Module Tensor")
+    print("NumPy version", np.__version__)
+    print()
     result = unittest.TextTestRunner(verbosity=2).run(suite)
     sys.exit(len(result.errors) + len(result.failures))