diff options
Diffstat (limited to 'doc/swig/test/testTensor.py')
| -rwxr-xr-x | doc/swig/test/testTensor.py | 112 |
1 files changed, 56 insertions, 56 deletions
diff --git a/doc/swig/test/testTensor.py b/doc/swig/test/testTensor.py index b6dd2e98a..a9390ebb1 100755 --- a/doc/swig/test/testTensor.py +++ b/doc/swig/test/testTensor.py @@ -31,8 +31,8 @@ class TensorTestCase(unittest.TestCase): "Test norm function" print(self.typeStr, "... ", end=' ', file=sys.stderr) norm = Tensor.__dict__[self.typeStr + "Norm"] - tensor = [[[0,1], [2,3]], - [[3,2], [1,0]]] + tensor = [[[0, 1], [2, 3]], + [[3, 2], [1, 0]]] if isinstance(self.result, int): self.assertEquals(norm(tensor), self.result) else: @@ -43,8 +43,8 @@ class TensorTestCase(unittest.TestCase): "Test norm function with bad list" print(self.typeStr, "... ", end=' ', file=sys.stderr) norm = Tensor.__dict__[self.typeStr + "Norm"] - tensor = [[[0,"one"],[2,3]], - [[3,"two"],[1,0]]] + tensor = [[[0, "one"], [2, 3]], + [[3, "two"], [1, 0]]] self.assertRaises(BadListError, norm, tensor) # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap @@ -52,8 +52,8 @@ class TensorTestCase(unittest.TestCase): "Test norm function with wrong dimensions" print(self.typeStr, "... ", end=' ', file=sys.stderr) norm = Tensor.__dict__[self.typeStr + "Norm"] - tensor = [[0,1,2,3], - [3,2,1,0]] + tensor = [[0, 1, 2, 3], + [3, 2, 1, 0]] self.assertRaises(TypeError, norm, tensor) # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap @@ -61,8 +61,8 @@ class TensorTestCase(unittest.TestCase): "Test norm function with wrong size" 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]]] + tensor = [[[0, 1, 0], [2, 3, 2]], + [[3, 2, 3], [1, 0, 1]]] self.assertRaises(TypeError, norm, tensor) # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap @@ -77,8 +77,8 @@ class TensorTestCase(unittest.TestCase): "Test max function" print(self.typeStr, "... ", end=' ', file=sys.stderr) max = Tensor.__dict__[self.typeStr + "Max"] - tensor = [[[1,2], [3,4]], - [[5,6], [7,8]]] + tensor = [[[1, 2], [3, 4]], + [[5, 6], [7, 8]]] self.assertEquals(max(tensor), 8) # Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap @@ -86,8 +86,8 @@ class TensorTestCase(unittest.TestCase): "Test max function with bad list" print(self.typeStr, "... ", end=' ', file=sys.stderr) max = Tensor.__dict__[self.typeStr + "Max"] - tensor = [[[1,"two"], [3,4]], - [[5,"six"], [7,8]]] + tensor = [[[1, "two"], [3, 4]], + [[5, "six"], [7, 8]]] self.assertRaises(BadListError, max, tensor) # Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap @@ -109,8 +109,8 @@ class TensorTestCase(unittest.TestCase): "Test min function" print(self.typeStr, "... ", end=' ', file=sys.stderr) min = Tensor.__dict__[self.typeStr + "Min"] - tensor = [[[9,8], [7,6]], - [[5,4], [3,2]]] + tensor = [[[9, 8], [7, 6]], + [[5, 4], [3, 2]]] self.assertEquals(min(tensor), 2) # Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap @@ -118,8 +118,8 @@ class TensorTestCase(unittest.TestCase): "Test min function with bad list" print(self.typeStr, "... ", end=' ', file=sys.stderr) min = Tensor.__dict__[self.typeStr + "Min"] - tensor = [[["nine",8], [7,6]], - [["five",4], [3,2]]] + tensor = [[["nine", 8], [7, 6]], + [["five", 4], [3, 2]]] self.assertRaises(BadListError, min, tensor) # Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap @@ -134,29 +134,29 @@ class TensorTestCase(unittest.TestCase): "Test min function with wrong dimensions" print(self.typeStr, "... ", end=' ', file=sys.stderr) min = Tensor.__dict__[self.typeStr + "Min"] - self.assertRaises(TypeError, min, [[1,3],[5,7]]) + self.assertRaises(TypeError, min, [[1, 3], [5, 7]]) # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap def testScale(self): "Test scale function" 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]], - [[1,0,1], [0,1,0], [1,0,1]]],self.typeCode) - scale(tensor,4) - self.assertEquals((tensor == [[[4,0,4], [0,4,0], [4,0,4]], - [[0,4,0], [4,0,4], [0,4,0]], - [[4,0,4], [0,4,0], [4,0,4]]]).all(), True) + tensor = np.array([[[1, 0, 1], [0, 1, 0], [1, 0, 1]], + [[0, 1, 0], [1, 0, 1], [0, 1, 0]], + [[1, 0, 1], [0, 1, 0], [1, 0, 1]]], self.typeCode) + scale(tensor, 4) + self.assertEquals((tensor == [[[4, 0, 4], [0, 4, 0], [4, 0, 4]], + [[0, 4, 0], [4, 0, 4], [0, 4, 0]], + [[4, 0, 4], [0, 4, 0], [4, 0, 4]]]).all(), True) # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap def testScaleWrongType(self): "Test scale function with wrong type" 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]], - [[1,0,1], [0,1,0], [1,0,1]]],'c') + tensor = np.array([[[1, 0, 1], [0, 1, 0], [1, 0, 1]], + [[0, 1, 0], [1, 0, 1], [0, 1, 0]], + [[1, 0, 1], [0, 1, 0], [1, 0, 1]]], 'c') self.assertRaises(TypeError, scale, tensor) # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap @@ -164,8 +164,8 @@ class TensorTestCase(unittest.TestCase): "Test scale function with wrong dimensions" 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) + tensor = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1], + [0, 1, 0], [1, 0, 1], [0, 1, 0]], self.typeCode) self.assertRaises(TypeError, scale, tensor) # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap @@ -173,9 +173,9 @@ class TensorTestCase(unittest.TestCase): "Test scale function with wrong size" 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]], - [[1,0], [0,1], [1,0]]],self.typeCode) + tensor = np.array([[[1, 0], [0, 1], [1, 0]], + [[0, 1], [1, 0], [0, 1]], + [[1, 0], [0, 1], [1, 0]]], self.typeCode) self.assertRaises(TypeError, scale, tensor) # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap @@ -190,19 +190,19 @@ class TensorTestCase(unittest.TestCase): "Test floor function" 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) - floor(tensor,4) - np.testing.assert_array_equal(tensor, np.array([[[4,4], [4,4]], - [[5,6], [7,8]]])) + tensor = np.array([[[1, 2], [3, 4]], + [[5, 6], [7, 8]]], self.typeCode) + floor(tensor, 4) + np.testing.assert_array_equal(tensor, np.array([[[4, 4], [4, 4]], + [[5, 6], [7, 8]]])) # Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap def testFloorWrongType(self): "Test floor function with wrong type" 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') + tensor = np.array([[[1, 2], [3, 4]], + [[5, 6], [7, 8]]], 'c') self.assertRaises(TypeError, floor, tensor) # Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap @@ -210,7 +210,7 @@ class TensorTestCase(unittest.TestCase): "Test floor function with wrong type" 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) + tensor = np.array([[1, 2], [3, 4], [5, 6], [7, 8]], self.typeCode) self.assertRaises(TypeError, floor, tensor) # Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap @@ -225,19 +225,19 @@ class TensorTestCase(unittest.TestCase): "Test ceil function" 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) - ceil(tensor,5) - np.testing.assert_array_equal(tensor, np.array([[[5,5], [5,5]], - [[5,4], [3,2]]])) + tensor = np.array([[[9, 8], [7, 6]], + [[5, 4], [3, 2]]], self.typeCode) + ceil(tensor, 5) + np.testing.assert_array_equal(tensor, np.array([[[5, 5], [5, 5]], + [[5, 4], [3, 2]]])) # Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap def testCeilWrongType(self): "Test ceil function with wrong type" 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') + tensor = np.array([[[9, 8], [7, 6]], + [[5, 4], [3, 2]]], 'c') self.assertRaises(TypeError, ceil, tensor) # Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap @@ -245,7 +245,7 @@ class TensorTestCase(unittest.TestCase): "Test ceil function with wrong dimensions" 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) + tensor = np.array([[9, 8], [7, 6], [5, 4], [3, 2]], self.typeCode) self.assertRaises(TypeError, ceil, tensor) # Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap @@ -253,8 +253,8 @@ class TensorTestCase(unittest.TestCase): "Test ceil function with non-array" print(self.typeStr, "... ", end=' ', file=sys.stderr) ceil = Tensor.__dict__[self.typeStr + "Ceil"] - tensor = [[[9,8], [7,6]], - [[5,4], [3,2]]] + tensor = [[[9, 8], [7, 6]], + [[5, 4], [3, 2]]] self.assertRaises(TypeError, ceil, tensor) # Test (type ARGOUT_ARRAY3[ANY][ANY][ANY]) typemap @@ -262,12 +262,12 @@ class TensorTestCase(unittest.TestCase): "Test luSplit function" print(self.typeStr, "... ", end=' ', file=sys.stderr) luSplit = Tensor.__dict__[self.typeStr + "LUSplit"] - lower, upper = luSplit([[[1,1], [1,1]], - [[1,1], [1,1]]]) - self.assertEquals((lower == [[[1,1], [1,0]], - [[1,0], [0,0]]]).all(), True) - self.assertEquals((upper == [[[0,0], [0,1]], - [[0,1], [1,1]]]).all(), True) + lower, upper = luSplit([[[1, 1], [1, 1]], + [[1, 1], [1, 1]]]) + self.assertEquals((lower == [[[1, 1], [1, 0]], + [[1, 0], [0, 0]]]).all(), True) + self.assertEquals((upper == [[[0, 0], [0, 1]], + [[0, 1], [1, 1]]]).all(), True) ###################################################################### |