1 files changed, 0 insertions, 388 deletions
diff --git a/doc/swig/test/testSuperTensor.py b/doc/swig/test/testSuperTensor.py
deleted file mode 100644
index ff1f86df2..000000000
--- a/doc/swig/test/testSuperTensor.py
+++ /dev/null
@@ -1,388 +0,0 @@
-#! /usr/bin/env python
-from __future__ import division
-
-# System imports
-from   distutils.util import get_platform
-from   math           import sqrt
-import os
-import sys
-import unittest
-
-# Import NumPy
-import numpy as np
-major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
-if major == 0: BadListError = TypeError
-else:          BadListError = ValueError
-
-import SuperTensor
-
-######################################################################
-
-class SuperTensorTestCase(unittest.TestCase):
-
-    def __init__(self, methodName="runTests"):
-        unittest.TestCase.__init__(self, methodName)
-        self.typeStr  = "double"
-        self.typeCode = "d"
-
-    # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
-    def testNorm(self):
-        "Test norm function"
-        print >>sys.stderr, self.typeStr, "... ",
-        norm = SuperTensor.__dict__[self.typeStr + "Norm"]
-        supertensor = np.arange(2*2*2*2, dtype=self.typeCode).reshape((2, 2, 2, 2))
-        #Note: cludge to get an answer of the same type as supertensor.
-        #Answer is simply sqrt(sum(supertensor*supertensor)/16)
-        answer = np.array([np.sqrt(np.sum(supertensor.astype('d')*supertensor)/16.)], dtype=self.typeCode)[0]
-        self.assertAlmostEqual(norm(supertensor), answer, 6)
-
-    # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
-    def testNormBadList(self):
-        "Test norm function with bad list"
-        print >>sys.stderr, self.typeStr, "... ",
-        norm = SuperTensor.__dict__[self.typeStr + "Norm"]
-        supertensor = [[[[0, "one"], [2, 3]], [[3, "two"], [1, 0]]], [[[0, "one"], [2, 3]], [[3, "two"], [1, 0]]]]
-        self.assertRaises(BadListError, norm, supertensor)
-
-    # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
-    def testNormWrongDim(self):
-        "Test norm function with wrong dimensions"
-        print >>sys.stderr, self.typeStr, "... ",
-        norm = SuperTensor.__dict__[self.typeStr + "Norm"]
-        supertensor = np.arange(2*2*2, dtype=self.typeCode).reshape((2, 2, 2))
-        self.assertRaises(TypeError, norm, supertensor)
-
-    # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
-    def testNormWrongSize(self):
-        "Test norm function with wrong size"
-        print >>sys.stderr, self.typeStr, "... ",
-        norm = SuperTensor.__dict__[self.typeStr + "Norm"]
-        supertensor = np.arange(3*2*2, dtype=self.typeCode).reshape((3, 2, 2))
-        self.assertRaises(TypeError, norm, supertensor)
-
-    # Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
-    def testNormNonContainer(self):
-        "Test norm function with non-container"
-        print >>sys.stderr, self.typeStr, "... ",
-        norm = SuperTensor.__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, "... ",
-        max = SuperTensor.__dict__[self.typeStr + "Max"]
-        supertensor = [[[[1, 2], [3, 4]], [[5, 6], [7, 8]]], [[[1, 2], [3, 4]], [[5, 6], [7, 8]]]]
-        self.assertEquals(max(supertensor), 8)
-
-    # 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, "... ",
-        max = SuperTensor.__dict__[self.typeStr + "Max"]
-        supertensor = [[[[1, "two"], [3, 4]], [[5, "six"], [7, 8]]], [[[1, "two"], [3, 4]], [[5, "six"], [7, 8]]]]
-        self.assertRaises(BadListError, max, supertensor)
-
-    # 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, "... ",
-        max = SuperTensor.__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, "... ",
-        max = SuperTensor.__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, "... ",
-        min = SuperTensor.__dict__[self.typeStr + "Min"]
-        supertensor = [[[[9, 8], [7, 6]], [[5, 4], [3, 2]]], [[[9, 8], [7, 6]], [[5, 4], [3, 2]]]]
-        self.assertEquals(min(supertensor), 2)
-
-    # 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, "... ",
-        min = SuperTensor.__dict__[self.typeStr + "Min"]
-        supertensor = [[[["nine", 8], [7, 6]], [["five", 4], [3, 2]]], [[["nine", 8], [7, 6]], [["five", 4], [3, 2]]]]
-        self.assertRaises(BadListError, min, supertensor)
-
-    # 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, "... ",
-        min = SuperTensor.__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, "... ",
-        min = SuperTensor.__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, "... ",
-        scale = SuperTensor.__dict__[self.typeStr + "Scale"]
-        supertensor = np.arange(3*3*3*3, dtype=self.typeCode).reshape((3, 3, 3, 3))
-        answer = supertensor.copy()*4
-        scale(supertensor, 4)
-        self.assertEquals((supertensor == answer).all(), True)
-
-    # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
-    def testScaleWrongType(self):
-        "Test scale function with wrong type"
-        print >>sys.stderr, self.typeStr, "... ",
-        scale = SuperTensor.__dict__[self.typeStr + "Scale"]
-        supertensor = 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, supertensor)
-
-    # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
-    def testScaleWrongDim(self):
-        "Test scale function with wrong dimensions"
-        print >>sys.stderr, self.typeStr, "... ",
-        scale = SuperTensor.__dict__[self.typeStr + "Scale"]
-        supertensor = 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, supertensor)
-
-    # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
-    def testScaleWrongSize(self):
-        "Test scale function with wrong size"
-        print >>sys.stderr, self.typeStr, "... ",
-        scale = SuperTensor.__dict__[self.typeStr + "Scale"]
-        supertensor = 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, supertensor)
-
-    # Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
-    def testScaleNonArray(self):
-        "Test scale function with non-array"
-        print >>sys.stderr, self.typeStr, "... ",
-        scale = SuperTensor.__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, "... ",
-        supertensor = np.arange(2*2*2*2, dtype=self.typeCode).reshape((2, 2, 2, 2))
-        answer = supertensor.copy()
-        answer[answer < 4] = 4
-
-        floor = SuperTensor.__dict__[self.typeStr + "Floor"]
-        floor(supertensor, 4)
-        np.testing.assert_array_equal(supertensor, answer)
-
-    # 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, "... ",
-        floor = SuperTensor.__dict__[self.typeStr + "Floor"]
-        supertensor = np.ones(2*2*2*2, dtype='c').reshape((2, 2, 2, 2))
-        self.assertRaises(TypeError, floor, supertensor)
-
-    # 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, "... ",
-        floor = SuperTensor.__dict__[self.typeStr + "Floor"]
-        supertensor = np.arange(2*2*2, dtype=self.typeCode).reshape((2, 2, 2))
-        self.assertRaises(TypeError, floor, supertensor)
-
-    # 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, "... ",
-        floor = SuperTensor.__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, "... ",
-        supertensor = np.arange(2*2*2*2, dtype=self.typeCode).reshape((2, 2, 2, 2))
-        answer = supertensor.copy()
-        answer[answer > 5] = 5
-        ceil = SuperTensor.__dict__[self.typeStr + "Ceil"]
-        ceil(supertensor, 5)
-        np.testing.assert_array_equal(supertensor, answer)
-
-    # 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, "... ",
-        ceil = SuperTensor.__dict__[self.typeStr + "Ceil"]
-        supertensor = np.ones(2*2*2*2, 'c').reshape((2, 2, 2, 2))
-        self.assertRaises(TypeError, ceil, supertensor)
-
-    # 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, "... ",
-        ceil = SuperTensor.__dict__[self.typeStr + "Ceil"]
-        supertensor = np.arange(2*2*2, dtype=self.typeCode).reshape((2, 2, 2))
-        self.assertRaises(TypeError, ceil, supertensor)
-
-    # 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, "... ",
-        ceil = SuperTensor.__dict__[self.typeStr + "Ceil"]
-        supertensor = np.arange(2*2*2*2, dtype=self.typeCode).reshape((2, 2, 2, 2)).tolist()
-        self.assertRaises(TypeError, ceil, supertensor)
-
-    # Test (type ARGOUT_ARRAY3[ANY][ANY][ANY]) typemap
-    def testLUSplit(self):
-        "Test luSplit function"
-        print >>sys.stderr, self.typeStr, "... ",
-        luSplit = SuperTensor.__dict__[self.typeStr + "LUSplit"]
-        supertensor = np.ones(2*2*2*2, dtype=self.typeCode).reshape((2, 2, 2, 2))
-        answer_upper = [[[[0, 0], [0, 1]], [[0, 1], [1, 1]]], [[[0, 1], [1, 1]], [[1, 1], [1, 1]]]]
-        answer_lower = [[[[1, 1], [1, 0]], [[1, 0], [0, 0]]], [[[1, 0], [0, 0]], [[0, 0], [0, 0]]]]
-        lower, upper = luSplit(supertensor)
-        self.assertEquals((lower == answer_lower).all(), True)
-        self.assertEquals((upper == answer_upper).all(), True)
-
-######################################################################
-
-class scharTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "schar"
-        self.typeCode = "b"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class ucharTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "uchar"
-        self.typeCode = "B"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class shortTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "short"
-        self.typeCode = "h"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class ushortTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "ushort"
-        self.typeCode = "H"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class intTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "int"
-        self.typeCode = "i"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class uintTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "uint"
-        self.typeCode = "I"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class longTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "long"
-        self.typeCode = "l"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class ulongTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "ulong"
-        self.typeCode = "L"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class longLongTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "longLong"
-        self.typeCode = "q"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class ulongLongTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "ulongLong"
-        self.typeCode = "Q"
-        #self.result   = int(self.result)
-
-######################################################################
-
-class floatTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "float"
-        self.typeCode = "f"
-
-######################################################################
-
-class doubleTestCase(SuperTensorTestCase):
-    def __init__(self, methodName="runTest"):
-        SuperTensorTestCase.__init__(self, methodName)
-        self.typeStr  = "double"
-        self.typeCode = "d"
-
-######################################################################
-
-if __name__ == "__main__":
-
-    # Build the test suite
-    suite = unittest.TestSuite()
-    suite.addTest(unittest.makeSuite(    scharTestCase))
-    suite.addTest(unittest.makeSuite(    ucharTestCase))
-    suite.addTest(unittest.makeSuite(    shortTestCase))
-    suite.addTest(unittest.makeSuite(   ushortTestCase))
-    suite.addTest(unittest.makeSuite(      intTestCase))
-    suite.addTest(unittest.makeSuite(     uintTestCase))
-    suite.addTest(unittest.makeSuite(     longTestCase))
-    suite.addTest(unittest.makeSuite(    ulongTestCase))
-    suite.addTest(unittest.makeSuite( longLongTestCase))
-    suite.addTest(unittest.makeSuite(ulongLongTestCase))
-    suite.addTest(unittest.makeSuite(    floatTestCase))
-    suite.addTest(unittest.makeSuite(   doubleTestCase))
-
-    # Execute the test suite
-    print "Testing 4D Functions of Module SuperTensor"
-    print "NumPy version", np.__version__
-    print
-    result = unittest.TextTestRunner(verbosity=2).run(suite)
-    sys.exit(len(result.errors) + len(result.failures))