def test_view_delattr(attr, subset_func):
base = gen_adata((10, 10))
orig_hash = joblib.hash(base)
subset = base[subset_func(base.obs_names), subset_func(base.var_names)]
empty = ad.AnnData(obs=subset.obs[[]], var=subset.var[[]])
delattr(subset, attr)
assert not subset.is_view
# Should now have same value as default
assert_equal(getattr(subset, attr), getattr(empty, attr))
assert orig_hash == joblib.hash(base) # Original should not be modified
def test_backed_raw_subset(tmp_path, subset_func, subset_func2):
backed_pth = tmp_path / "backed.h5ad"
final_pth = tmp_path / "final.h5ad"
mem_adata = gen_adata((10, 10))
mem_adata.raw = mem_adata
obs_idx = subset_func(mem_adata.obs_names)
var_idx = subset_func2(mem_adata.var_names)
mem_adata.write(backed_pth)
backed_adata = ad.read_h5ad(backed_pth, backed="r")
backed_v = backed_adata[obs_idx, var_idx]
assert backed_v.is_view
mem_v = mem_adata[obs_idx, var_idx]
assert_equal(backed_v, mem_v) # meaningful as objects are not equivalent?
backed_v.write_h5ad(final_pth)
final_adata = ad.read_h5ad(final_pth)
# todo: Figure out why this doesn’t work if I don’t copy
assert_equal(final_adata, mem_v.copy())
# todo: breaks when removing this line, b/c backed_v.X is not accessible
backed_v = ad.read_h5ad(backed_pth, backed="r")[obs_idx, var_idx]
del final_adata.raw # .raw is dropped when loading backed into memory.
assert_equal(final_adata,
backed_v.to_memory()) # assert loading into memory
def test_inplace_subset_obs(matrix_type, subset_func):
orig = gen_adata((30, 30), X_type=matrix_type)
subset_idx = subset_func(orig.obs_names)
modified = orig.copy()
from_view = orig[subset_idx, :].copy()
modified._inplace_subset_obs(subset_idx)
assert_equal(asarray(from_view.X), asarray(modified.X), exact=True)
assert_equal(from_view.obs, modified.obs, exact=True)
assert_equal(from_view.var, modified.var, exact=True)
for k in from_view.obsm:
assert_equal(asarray(from_view.obsm[k]),
asarray(modified.obsm[k]),
exact=True)
for k in from_view.varm:
assert_equal(asarray(from_view.varm[k]),
asarray(modified.varm[k]),
exact=True)
assert_equal(asarray(orig.varm[k]),
asarray(modified.varm[k]),
exact=True)
for k in from_view.layers:
assert_equal(asarray(from_view.layers[k]),
asarray(modified.layers[k]),
exact=True)
def test_view_setattr_machinery(attr, subset_func, subset_func2):
# Tests that setting attributes on a view doesn't mess anything up too bad
adata = gen_adata((10, 10))
view = adata[subset_func(adata.obs_names), subset_func2(adata.var_names)]
actual = view.copy()
setattr(view, attr, getattr(actual, attr))
assert_equal(actual, view, exact=True)
def test_view_of_view(matrix_type, subset_func, subset_func2):
adata = gen_adata((30, 15), X_type=matrix_type)
if subset_func is single_subset:
pytest.xfail("Other subset generating functions have trouble with this")
var_s1 = subset_func(adata.var_names, min_size=4)
var_view1 = adata[:, var_s1]
var_s2 = subset_func2(var_view1.var_names)
var_view2 = var_view1[:, var_s2]
assert var_view2._adata_ref is adata
obs_s1 = subset_func(adata.obs_names, min_size=4)
obs_view1 = adata[obs_s1, :]
obs_s2 = subset_func2(obs_view1.obs_names)
assert adata[obs_s1, :][:, var_s1][obs_s2, :]._adata_ref is adata
view_of_actual_copy = adata[:, var_s1].copy()[obs_s1, :].copy()[:, var_s2].copy()
view_of_view_copy = adata[:, var_s1][obs_s1, :][:, var_s2].copy()
# Check equivalence
assert np.allclose(
asarray(view_of_actual_copy.X),
asarray(view_of_view_copy.X)
)
assert not np.any(asarray(ne(
view_of_actual_copy.obs,
view_of_view_copy.obs
)))
assert not np.any(asarray(ne(
view_of_actual_copy.var,
view_of_view_copy.var
)))
for k in adata.obsm.keys():
assert not np.any(asarray(ne(
view_of_actual_copy.obsm[k],
view_of_view_copy.obsm[k]
)))
for k in adata.varm.keys():
assert not np.any(asarray(ne(
asarray(view_of_actual_copy.varm[k]),
asarray(view_of_view_copy.varm[k])
)))
for k in adata.layers.keys():
assert not np.any(asarray(ne(
asarray(view_of_actual_copy.layers[k]),
asarray(view_of_view_copy.layers[k])
)))
def test_backed_indexing(ondisk_equivalent_adata, subset_func, subset_func2):
csr_mem, csr_disk, csc_disk, dense_disk = ondisk_equivalent_adata
obs_idx = subset_func(csr_mem.obs_names)
var_idx = subset_func2(csr_mem.var_names)
assert_equal(csr_mem[obs_idx, var_idx].X, csr_disk[obs_idx, var_idx].X)
assert_equal(csr_mem[obs_idx, var_idx].X, csc_disk[obs_idx, var_idx].X)
assert_equal(csr_mem[obs_idx, :].X, dense_disk[obs_idx, :].X)
assert_equal(csr_mem[:, var_idx].X, dense_disk[:, var_idx].X)
def test_double_index(subset_func, subset_func2):
adata = gen_adata((10, 10))
obs_subset = subset_func(adata.obs_names)
var_subset = subset_func2(adata.var_names)
v1 = adata[obs_subset, var_subset]
v2 = adata[obs_subset, :][:, var_subset]
assert np.all(asarray(v1.X) == asarray(v2.X))
assert np.all(v1.obs == v2.obs)
assert np.all(v1.var == v2.var)
def test_inplace_subset_no_X(subset_func, dim):
orig = gen_adata((30, 30))
del orig.X
subset_idx = subset_func(getattr(orig, f"{dim}_names"))
modified = orig.copy()
from_view = subset_dim(orig, **{dim: subset_idx}).copy()
getattr(modified, f"_inplace_subset_{dim}")(subset_idx)
assert_equal(modified, from_view, exact=True)
def test_view_of_view(matrix_type, subset_func, subset_func2):
adata = gen_adata((30, 15), X_type=matrix_type)
adata.raw = adata
if subset_func is single_subset:
pytest.xfail(
"Other subset generating functions have trouble with this")
var_s1 = subset_func(adata.var_names, min_size=4)
var_view1 = adata[:, var_s1]
var_s2 = subset_func2(var_view1.var_names)
var_view2 = var_view1[:, var_s2]
assert var_view2._adata_ref is adata
obs_s1 = subset_func(adata.obs_names, min_size=4)
obs_view1 = adata[obs_s1, :]
obs_s2 = subset_func2(obs_view1.obs_names)
assert adata[obs_s1, :][:, var_s1][obs_s2, :]._adata_ref is adata
view_of_actual_copy = (
adata[:, var_s1].copy()[obs_s1, :].copy()[:, var_s2].copy())
view_of_view_copy = adata[:, var_s1][obs_s1, :][:, var_s2].copy()
assert_equal(view_of_actual_copy, view_of_view_copy, exact=True)
def test_set_var(adata, subset_func):
init_hash = joblib.hash(adata)
subset = adata[:, subset_func(adata.var_names)]
new_var = pd.DataFrame(
dict(a=np.ones(subset.n_vars), b=np.ones(subset.n_vars)),
index=subset.var_names,
)
assert subset.is_view
subset.var = new_var
assert not subset.is_view
assert np.all(subset.var == new_var)
assert joblib.hash(adata) == init_hash
def test_set_obs(adata, subset_func):
init_hash = joblib.hash(adata)
subset = adata[subset_func(adata.obs_names), :]
new_obs = pd.DataFrame(
dict(a=np.ones(subset.n_obs), b=np.ones(subset.n_obs)),
index=subset.obs_names,
)
assert subset.is_view
subset.obs = new_obs
assert not subset.is_view
assert np.all(subset.obs == new_obs)
assert joblib.hash(adata) == init_hash
def test_set_subset_varm(adata, subset_func):
init_hash = joblib.hash(adata)
orig_varm_val = adata.varm["o"].copy()
while True:
subset_idx = slice_subset(adata.var_names)
if (adata[:, subset_idx]).shape[1] > 2:
break
subset = adata[:, subset_idx]
internal_idx = subset_func(np.arange(subset.varm["o"].shape[0]))
assert subset.is_view
subset.varm["o"][internal_idx] = 1
assert not subset.is_view
assert np.all(adata.varm["o"] == orig_varm_val)
assert init_hash == joblib.hash(adata)
def test_set_subset_obsm(adata, subset_func):
init_hash = joblib.hash(adata)
orig_obsm_val = adata.obsm["o"].copy()
while True:
subset_idx = slice_subset(adata.obs_names)
if len(adata[subset_idx, :]) > 2:
break
subset = adata[subset_idx, :]
internal_idx = subset_func(np.arange(subset.obsm["o"].shape[0]))
assert subset.is_view
subset.obsm["o"][internal_idx] = 1
assert not subset.is_view
assert np.all(adata.obsm["o"] == orig_obsm_val)
assert init_hash == joblib.hash(adata)
def test_not_set_subset_X(matrix_type, subset_func):
adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
init_hash = joblib.hash(adata)
orig_X_val = adata.X.copy()
while True:
subset_idx = slice_subset(adata.obs_names)
if len(adata[subset_idx, :]) > 2:
break
subset = adata[subset_idx, :]
subset = adata[:, subset_idx]
internal_idx = subset_func(np.arange(subset.X.shape[1]))
assert subset.is_view
subset.X[:, internal_idx] = 1
assert not subset.is_view
assert not np.any(asarray(adata.X != orig_X_val))
assert init_hash == joblib.hash(adata)
def test_backed_raw_subset(tmp_path, subset_func, subset_func2):
backed_pth = tmp_path / "backed.h5ad"
final_pth = tmp_path / "final.h5ad"
mem_adata = gen_adata((10, 10))
mem_adata.raw = mem_adata
obs_idx = subset_func(mem_adata.obs_names)
var_idx = subset_func2(mem_adata.var_names)
mem_adata.write(backed_pth)
backed_adata = ad.read_h5ad(backed_pth, backed="r")
backed_v = backed_adata[obs_idx, var_idx]
assert backed_v.isview
mem_v = mem_adata[obs_idx, var_idx]
assert_equal(backed_v, mem_v)
backed_v.write_h5ad(final_pth)
final_adata = ad.read_h5ad(final_pth)
# TODO: Figure out why this doesn't work if I don't copy
assert_equal(final_adata, mem_v.copy())
def test_inplace_subset_var(matrix_type, subset_func):
orig = gen_adata((30, 30), X_type=matrix_type)
subset_idx = subset_func(orig.var_names)
modified = orig.copy()
from_view = orig[:, subset_idx].copy()
modified._inplace_subset_var(subset_idx)
assert_array_equal(asarray(from_view.X), asarray(modified.X))
assert_array_equal(from_view.obs, modified.obs)
assert_array_equal(from_view.var, modified.var)
for k in from_view.obsm:
assert_array_equal(asarray(from_view.obsm[k]),
asarray(modified.obsm[k]))
assert_array_equal(asarray(orig.obsm[k]), asarray(modified.obsm[k]))
for k in from_view.varm:
assert_array_equal(asarray(from_view.varm[k]),
asarray(modified.varm[k]))
for k in from_view.layers:
assert_array_equal(asarray(from_view.layers[k]),
asarray(modified.layers[k]))
def test_backed_raw_subset(tmp_path, array_type, subset_func, subset_func2):
backed_pth = tmp_path / "backed.h5ad"
final_pth = tmp_path / "final.h5ad"
mem_adata = gen_adata((10, 10), X_type=array_type)
mem_adata.raw = mem_adata
obs_idx = subset_func(mem_adata.obs_names)
var_idx = subset_func2(mem_adata.var_names)
if (
array_type is asarray
and isinstance(obs_idx, (np.ndarray, sparse.spmatrix))
and isinstance(var_idx, (np.ndarray, sparse.spmatrix))
):
pytest.xfail(
"Fancy indexing does not work with multiple arrays on a h5py.Dataset"
)
mem_adata.write(backed_pth)
### Backed view has same values as in memory view ###
backed_adata = ad.read_h5ad(backed_pth, backed="r")
backed_v = backed_adata[obs_idx, var_idx]
assert backed_v.is_view
mem_v = mem_adata[obs_idx, var_idx]
# Value equivalent
assert_equal(mem_v, backed_v)
# Type and value equivalent
assert_equal(mem_v.copy(), backed_v.to_memory(), exact=True)
assert backed_v.is_view
assert backed_v.isbacked
### Write from backed view ###
backed_v.write_h5ad(final_pth)
final_adata = ad.read_h5ad(final_pth)
assert_equal(mem_v, final_adata)
assert_equal(final_adata, backed_v.to_memory()) # assert loading into memory
