diff options
Diffstat (limited to 'doc/swig/test/testTensor.py')
| -rwxr-xr-x | doc/swig/test/testTensor.py | 62 |
1 files changed, 31 insertions, 31 deletions
diff --git a/doc/swig/test/testTensor.py b/doc/swig/test/testTensor.py index 41b037811..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 +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)) |