def test_unary_operations(self):
print("Test unary operations")
X, Y, Z = 1024, 512, 512
X, Y, Z = 256, 512, 512
steps = [timer()]
a = -numpy.ones((X, Y, Z), dtype='float32')
steps.append(timer())
t0 = dt(steps)
print(t0)
#print("a refcount " , sys.getrefcount(a))
ds = DataContainer(a, False, ['X', 'Y', 'Z'])
ds.sign(out=ds)
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], -1.)
ds.abs(out=ds)
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 1.)
ds.__imul__(2)
ds.sqrt(out=ds)
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0],
numpy.sqrt(2., dtype='float32'))
def testGb_creation_nocopy(self):
X, Y, Z = 512, 512, 512
X, Y, Z = 256, 512, 512
steps = [timer()]
a = numpy.ones((X, Y, Z), dtype='float32')
steps.append(timer())
t0 = dt(steps)
print("test clone")
#print("a refcount " , sys.getrefcount(a))
ds = DataContainer(a, False, ['X', 'Y', 'Z'])
#print("a refcount " , sys.getrefcount(a))
self.assertEqual(sys.getrefcount(a), 3)
ds1 = ds.copy()
self.assertNotEqual(aid(ds.as_array()), aid(ds1.as_array()))
ds1 = ds.clone()
self.assertNotEqual(aid(ds.as_array()), aid(ds1.as_array()))
def testInlineAlgebra(self):
print("Test Inline Algebra")
X, Y, Z = 1024, 512, 512
X, Y, Z = 256, 512, 512
steps = [timer()]
a = numpy.ones((X, Y, Z), dtype='float32')
steps.append(timer())
t0 = dt(steps)
print(t0)
#print("a refcount " , sys.getrefcount(a))
ds = DataContainer(a, False, ['X', 'Y', 'Z'])
#ds.__iadd__( 2 )
ds += 2
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 3.)
#ds.__isub__( 2 )
ds -= 2
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 1.)
#ds.__imul__( 2 )
ds *= 2
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 2.)
#ds.__idiv__( 2 )
ds /= 2
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 1.)
ds1 = ds.copy()
#ds1.__iadd__( 1 )
ds1 += 1
#ds.__iadd__( ds1 )
ds += ds1
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 3.)
#ds.__isub__( ds1 )
ds -= ds1
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 1.)
#ds.__imul__( ds1 )
ds *= ds1
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 2.)
#ds.__idiv__( ds1 )
ds /= ds1
steps.append(timer())
print(dt(steps))
self.assertEqual(ds.as_array()[0][0][0], 1.)
def binary_divide(self):
print("Test binary divide")
X, Y, Z = 1024, 512, 512
X, Y, Z = 256, 512, 512
steps = [timer()]
a = numpy.ones((X, Y, Z), dtype='float32')
steps.append(timer())
t0 = dt(steps)
#print("a refcount " , sys.getrefcount(a))
ds = DataContainer(a, False, ['X', 'Y', 'Z'])
ds1 = ds.copy()
t1 = 0
t2 = 0
for i in range(10):
steps.append(timer())
ds.divide(ds1, out=ds)
steps.append(timer())
t1 += dt(steps)/10.
print("ds.divide(ds1, out=ds)", dt(steps))
steps.append(timer())
ds2 = ds.divide(ds1)
steps.append(timer())
t2 += dt(steps)/10.
print("ds2 = ds.divide(ds1)", dt(steps))
#self.assertLess(t1, t2)
self.assertEqual(ds.as_array()[0][0][0], 1.)
ds0 = ds
ds0.divide(2, out=ds0)
steps.append(timer())
print("ds0.divide(2,out=ds0)", dt(steps), 0.5, ds0.as_array()[0][0][0])
self.assertEqual(0.5, ds0.as_array()[0][0][0])
dt1 = dt(steps)
ds3 = ds0.divide(2)
steps.append(timer())
print("ds3 = ds0.divide(2)", dt(steps), 0.25, ds3.as_array()[0][0][0])
dt2 = dt(steps)
#self.assertLess(dt1, dt2)
self.assertEqual(.25, ds3.as_array()[0][0][0])
self.assertEqual(.5, ds.as_array()[0][0][0])
def test_exp_log(self):
a0 = numpy.asarray([1 for i in range(2*3*4)])
ds0 = DataContainer(numpy.reshape(a0,(2,3,4)), suppress_warning=True)
# ds1 = DataContainer(numpy.reshape(a1,(2,3,4)), suppress_warning=True)
b = ds0.exp().log()
self.assertNumpyArrayEqual(ds0.as_array(), b.as_array())
self.assertEqual(ds0.exp().as_array()[0][0][0], numpy.exp(1))
self.assertEqual(ds0.log().as_array()[0][0][0], 0.)
def test_dot(self):
a0 = numpy.asarray([i for i in range(2 * 3 * 4)])
a1 = numpy.asarray([2 * i for i in range(2 * 3 * 4)])
ds0 = DataContainer(numpy.reshape(a0, (2, 3, 4)))
ds1 = DataContainer(numpy.reshape(a1, (2, 3, 4)))
numpy.testing.assert_equal(ds0.dot(ds1), a0.dot(a1))
a2 = numpy.asarray([2 * i for i in range(2 * 3 * 5)])
ds2 = DataContainer(numpy.reshape(a2, (2, 3, 5)))
# it should fail if the shape is wrong
try:
ds2.dot(ds0)
self.assertTrue(False)
except ValueError as ve:
self.assertTrue(True)
print("test dot numpy")
n0 = (ds0 * ds1).sum()
n1 = ds0.as_array().ravel().dot(ds1.as_array().ravel())
self.assertEqual(n0, n1)
def binary_multiply(self):
print("Test binary multiply")
X, Y, Z = 1024, 512, 512
X, Y, Z = 256, 512, 512
steps = [timer()]
a = numpy.ones((X, Y, Z), dtype='float32')
steps.append(timer())
t0 = dt(steps)
#print("a refcount " , sys.getrefcount(a))
ds = DataContainer(a, False, ['X', 'Y', 'Z'])
ds1 = ds.copy()
steps.append(timer())
ds.multiply(ds1, out=ds)
steps.append(timer())
t1 = dt(steps)
print("ds.multiply(ds1, out=ds)", dt(steps))
steps.append(timer())
ds2 = ds.multiply(ds1)
steps.append(timer())
t2 = dt(steps)
print("ds2 = ds.multiply(ds1)", dt(steps))
#self.assertLess(t1, t2)
ds0 = ds
ds0.multiply(2, out=ds0)
steps.append(timer())
print("ds0.multiply(2,out=ds0)", dt(
steps), 2., ds0.as_array()[0][0][0])
self.assertEqual(2., ds0.as_array()[0][0][0])
dt1 = dt(steps)
ds3 = ds0.multiply(2)
steps.append(timer())
print("ds3 = ds0.multiply(2)", dt(steps), 4., ds3.as_array()[0][0][0])
dt2 = dt(steps)
#self.assertLess(dt1, dt2)
self.assertEqual(4., ds3.as_array()[0][0][0])
self.assertEqual(2., ds.as_array()[0][0][0])
ds.multiply(2.5, out=ds0)
self.assertEqual(2.5*2., ds0.as_array()[0][0][0])