def test_row3():
# test row delete
data = Frame(create_test_data())
f = FrameRef(data)
assert f.is_contiguous()
assert f.is_span_whole_column()
assert f.num_rows == N
del f[toindex(th.tensor([2, 3]))]
assert not f.is_contiguous()
assert not f.is_span_whole_column()
# delete is lazy: only reflect on the ref while the
# underlying storage should not be touched
assert f.num_rows == N - 2
assert data.num_rows == N
newidx = list(range(N))
newidx.pop(2)
newidx.pop(2)
newidx = toindex(newidx)
for k, v in f.items():
assert U.allclose(v, data[k][newidx])
def test_append2():
# test append on FrameRef
data = Frame(create_test_data())
f = FrameRef(data)
assert f.is_contiguous()
assert f.is_span_whole_column()
assert f.num_rows == N
# append on the underlying frame should not reflect on the ref
data.append(data)
assert f.is_contiguous()
assert not f.is_span_whole_column()
assert f.num_rows == N
# append on the FrameRef should work
f.append(data)
assert not f.is_contiguous()
assert not f.is_span_whole_column()
assert f.num_rows == 3 * N
new_idx = list(range(N)) + list(range(2*N, 4*N))
assert F.array_equal(f._index.tousertensor(), F.copy_to(F.tensor(new_idx, dtype=F.int64), F.cpu()))
assert data.num_rows == 4 * N
def test_append2():
# test append on FrameRef
data = Frame(create_test_data())
f = FrameRef(data)
assert f.is_contiguous()
assert f.is_span_whole_column()
assert f.num_rows == N
# append on the underlying frame should not reflect on the ref
data.append(data)
assert f.is_contiguous()
assert not f.is_span_whole_column()
assert f.num_rows == N
# append on the FrameRef should work
f.append(data)
assert not f.is_contiguous()
assert not f.is_span_whole_column()
assert f.num_rows == 3 * N
new_idx = list(range(N)) + list(range(2 * N, 4 * N))
assert th.all(
f.index().tousertensor() == th.tensor(new_idx, dtype=th.int64))
assert data.num_rows == 4 * N
