Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Allow simult. use of partic incl and excl flags #404

Merged
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 0 additions & 6 deletions snakebids/core/_querying.py
Original file line number Diff line number Diff line change
Expand Up @@ -57,12 +57,6 @@ def add_filter(
ValueError
Raised if both include and exclude values are stipulated.
"""
if inclusions is not None and exclusions is not None:
msg = (
"Cannot define both participant_label and exclude_participant_label at "
"the same time"
)
raise ValueError(msg)
if inclusions is not None:
self.inclusions[key] = list(itx.always_iterable(inclusions))
if exclusions is not None:
Expand Down
63 changes: 12 additions & 51 deletions snakebids/tests/test_generate_inputs.py
Original file line number Diff line number Diff line change
Expand Up @@ -899,17 +899,6 @@ class TestPostfilter:
valid_chars = st.characters(blacklist_characters=["\n"])
st_lists_or_text = st.lists(st.text(valid_chars)) | st.text(valid_chars)

@given(st.tuples(st_lists_or_text, st_lists_or_text))
def test_throws_error_if_labels_and_excludes_are_given(
self, args: tuple[list[str] | str, list[str] | str]
):
filters = PostFilter()
with pytest.raises(
ValueError,
match="Cannot define both participant_label and exclude_participant_label ",
):
filters.add_filter("foo", *args)

@given(st.text(), st_lists_or_text)
def test_returns_participant_label_as_dict(self, key: str, label: list[str] | str):
filters = PostFilter()
Expand Down Expand Up @@ -1278,20 +1267,6 @@ def test_t1w():
}
}

# Can't define particpant_label and exclude_participant_label
with pytest.raises(
ValueError,
match="Cannot define both participant_label and "
"exclude_participant_label at the same time",
):
result = generate_inputs(
pybids_inputs=pybids_inputs,
bids_dir=real_bids_dir,
derivatives=derivatives,
participant_label="001",
exclude_participant_label="002",
)

# Simplest case -- one input type, using pybids
result = generate_inputs(
pybids_inputs=pybids_inputs,
Expand Down Expand Up @@ -1707,7 +1682,7 @@ class FiltParams(TypedDict, total=False):
@settings(
deadline=None, suppress_health_check=[HealthCheck.function_scoped_fixture]
)
def test_participant_label_filters_comps_with_subject(
def test_exclude_and_participant_label_filter_correctly(
self, data: st.DataObject, dataset: BidsDataset, tmpdir: Path
):
root = tempfile.mkdtemp(dir=tmpdir)
Expand All @@ -1716,33 +1691,19 @@ def test_participant_label_filters_comps_with_subject(
for comp in dataset.values()
)
sampler = st.sampled_from(itx.first(rooted.values()).entities["subject"])
label = data.draw(st.lists(sampler, unique=True) | sampler)
reindexed = reindex_dataset(root, rooted, participant_label=label)
assert set(itx.first(reindexed.values()).entities["subject"]) == set(
itx.always_iterable(label)
)

@given(
data=st.data(),
dataset=dataset_with_subject(),
)
@settings(
deadline=None, suppress_health_check=[HealthCheck.function_scoped_fixture]
)
def test_exclude_participant_label_filters_comp_with_subject(
self, data: st.DataObject, dataset: BidsDataset, tmpdir: Path
):
root = tempfile.mkdtemp(dir=tmpdir)
rooted = BidsDataset.from_iterable(
attrs.evolve(comp, path=os.path.join(root, comp.path))
for comp in dataset.values()
excluded = data.draw(st.lists(sampler, unique=True) | sampler | st.none())
included = data.draw(st.lists(sampler, unique=True) | sampler | st.none())
reindexed = reindex_dataset(
root, rooted, exclude_participant_label=excluded, participant_label=included
)
sampler = st.sampled_from(itx.first(rooted.values()).entities["subject"])
label = data.draw(st.lists(sampler, unique=True) | sampler)
reindexed = reindex_dataset(root, rooted, exclude_participant_label=label)
reindexed_subjects = set(itx.first(reindexed.values()).entities["subject"])
original_subjects = set(itx.first(rooted.values()).entities["subject"])
assert reindexed_subjects == original_subjects - set(itx.always_iterable(label))
expected_subjects = set(itx.first(rooted.values()).entities["subject"])
if included is not None:
expected_subjects &= set(itx.always_iterable(included))
if excluded is not None:
expected_subjects -= set(itx.always_iterable(excluded))

assert reindexed_subjects == expected_subjects

@pytest.mark.parametrize("mode", ["include", "exclude"])
@given(
Expand Down