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#!/usr/bin/env python3
# System imports
from math import sqrt
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 Tensor
######################################################################
class TensorTestCase(unittest.TestCase):
def __init__(self, methodName="runTests"):
unittest.TestCase.__init__(self, methodName)
self.typeStr = "double"
self.typeCode = "d"
self.result = sqrt(28.0/8)
# Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
def testNorm(self):
"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]]]
if isinstance(self.result, int):
self.assertEqual(norm(tensor), self.result)
else:
self.assertAlmostEqual(norm(tensor), self.result, 6)
# Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
def testNormBadList(self):
"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]]]
self.assertRaises(BadListError, norm, tensor)
# Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
def testNormWrongDim(self):
"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]]
self.assertRaises(TypeError, norm, tensor)
# Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
def testNormWrongSize(self):
"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]]]
self.assertRaises(TypeError, norm, tensor)
# Test (type IN_ARRAY3[ANY][ANY][ANY]) typemap
def testNormNonContainer(self):
"Test norm function with non-container"
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(self.typeStr, "... ", end=' ', file=sys.stderr)
max = Tensor.__dict__[self.typeStr + "Max"]
tensor = [[[1, 2], [3, 4]],
[[5, 6], [7, 8]]]
self.assertEqual(max(tensor), 8)
# Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
def testMaxBadList(self):
"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]]]
self.assertRaises(BadListError, max, tensor)
# Test (type* IN_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
def testMaxNonContainer(self):
"Test max function with non-container"
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(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(self.typeStr, "... ", end=' ', file=sys.stderr)
min = Tensor.__dict__[self.typeStr + "Min"]
tensor = [[[9, 8], [7, 6]],
[[5, 4], [3, 2]]]
self.assertEqual(min(tensor), 2)
# Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap
def testMinBadList(self):
"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]]]
self.assertRaises(BadListError, min, tensor)
# Test (int DIM1, int DIM2, int DIM3, type* IN_ARRAY3) typemap
def testMinNonContainer(self):
"Test min function with non-container"
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(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(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.assertEqual((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')
self.assertRaises(TypeError, scale, tensor)
# Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
def testScaleWrongDim(self):
"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)
self.assertRaises(TypeError, scale, tensor)
# Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
def testScaleWrongSize(self):
"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)
self.assertRaises(TypeError, scale, tensor)
# Test (type INPLACE_ARRAY3[ANY][ANY][ANY]) typemap
def testScaleNonArray(self):
"Test scale function with non-array"
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(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]]]))
# 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')
self.assertRaises(TypeError, floor, tensor)
# Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
def testFloorWrongDim(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]], self.typeCode)
self.assertRaises(TypeError, floor, tensor)
# Test (type* INPLACE_ARRAY3, int DIM1, int DIM2, int DIM3) typemap
def testFloorNonArray(self):
"Test floor function with non-array"
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(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]]]))
# 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')
self.assertRaises(TypeError, ceil, tensor)
# Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap
def testCeilWrongDim(self):
"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)
self.assertRaises(TypeError, ceil, tensor)
# Test (int DIM1, int DIM2, int DIM3, type* INPLACE_ARRAY3) typemap
def testCeilNonArray(self):
"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]]]
self.assertRaises(TypeError, ceil, tensor)
# Test (type ARGOUT_ARRAY3[ANY][ANY][ANY]) typemap
def testLUSplit(self):
"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.assertEqual((lower == [[[1, 1], [1, 0]],
[[1, 0], [0, 0]]]).all(), True)
self.assertEqual((upper == [[[0, 0], [0, 1]],
[[0, 1], [1, 1]]]).all(), True)
######################################################################
class scharTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "schar"
self.typeCode = "b"
self.result = int(self.result)
######################################################################
class ucharTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "uchar"
self.typeCode = "B"
self.result = int(self.result)
######################################################################
class shortTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "short"
self.typeCode = "h"
self.result = int(self.result)
######################################################################
class ushortTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "ushort"
self.typeCode = "H"
self.result = int(self.result)
######################################################################
class intTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "int"
self.typeCode = "i"
self.result = int(self.result)
######################################################################
class uintTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "uint"
self.typeCode = "I"
self.result = int(self.result)
######################################################################
class longTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "long"
self.typeCode = "l"
self.result = int(self.result)
######################################################################
class ulongTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "ulong"
self.typeCode = "L"
self.result = int(self.result)
######################################################################
class longLongTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "longLong"
self.typeCode = "q"
self.result = int(self.result)
######################################################################
class ulongLongTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "ulongLong"
self.typeCode = "Q"
self.result = int(self.result)
######################################################################
class floatTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__init__(self, methodName)
self.typeStr = "float"
self.typeCode = "f"
######################################################################
class doubleTestCase(TensorTestCase):
def __init__(self, methodName="runTest"):
TensorTestCase.__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 3D Functions of Module Tensor")
print("NumPy version", np.__version__)
print()
result = unittest.TextTestRunner(verbosity=2).run(suite)
sys.exit(bool(result.errors + result.failures))
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