def test_copy_deep(self):
a = rand_tensor((2, 3, 4), inds='abc', tags='t0')
b = rand_tensor((2, 3, 4), inds='abd', tags='t1')
tn1 = TensorNetwork((a, b))
tn2 = tn1.copy(deep=True)
# check can modify tensor structure
tn2['t1'].modify(inds=('a', 'b', 'X'))
assert tn1['t1'] is not tn2['t1']
assert tn2['t1'].inds == ('a', 'b', 'X')
assert tn1['t1'].inds == ('a', 'b', 'd')
# and that data is not the same
assert tn1['t1'].data is not tn2['t1'].data
tn2['t1'].data[:] /= 2
assert_allclose(tn1['t1'].data / 2, tn2['t1'].data)
def test_copy(self):
a = rand_tensor((2, 3, 4), inds='abc', tags='t0')
b = rand_tensor((2, 3, 4), inds='abd', tags='t1')
tn1 = TensorNetwork((a, b))
tn2 = tn1.copy()
# check can modify tensor structure
tn2['t1'].inds = ('a', 'b', 'X')
assert tn1['t1'] is not tn2['t1']
assert tn2['t1'].inds == ('a', 'b', 'X')
assert tn1['t1'].inds == ('a', 'b', 'd')
# but that data remains the same
assert tn1['t1'].data is tn2['t1'].data
tn2['t1'].data /= 2
assert_allclose(tn1['t1'].data, tn2['t1'].data)
