def fetch_nv_collection(contrast):
nv_data = fetch_neurovault(
max_images=788,
collection_id=4337,
mode='overwrite',
data_dir='/storage/store/data/HCP900/hcplang',
cognitive_paradigm_cogatlas=neurovault.Contains(
'language processing fMRI task paradigm'),
contrast_definition=neurovault.Contains(contrast),
map_type='Z map',
task='LANGUAGE')
print([meta['id'] for meta in nv_data['images_meta']])
def test_contains():
contains = neurovault.Contains('a', 0)
assert not contains == 10
assert contains == ['b', 1, 'a', 0]
assert ['b', 1, 'a', 0] == contains
assert contains != ['b', 1, 0]
assert ['b', 1, 'a'] != contains
assert not contains != ['b', 1, 'a', 0]
assert not ['b', 1, 'a', 0] != contains
assert not contains == ['b', 1, 0]
assert not ['b', 1, 'a'] == contains
assert str(contains) == "Contains('a', 0)"
contains = neurovault.Contains('house', 'face')
assert 'face vs house' == contains
assert not 'smiling face vs frowning face' == contains
def test_contains():
contains = neurovault.Contains('a', 0)
assert_false(contains == 10)
assert_true(contains == ['b', 1, 'a', 0])
assert_true(['b', 1, 'a', 0] == contains)
assert_true(contains != ['b', 1, 0])
assert_true(['b', 1, 'a'] != contains)
assert_false(contains != ['b', 1, 'a', 0])
assert_false(['b', 1, 'a', 0] != contains)
assert_false(contains == ['b', 1, 0])
assert_false(['b', 1, 'a'] == contains)
assert_equal(str(contains), "Contains('a', 0)")
contains = neurovault.Contains('house', 'face')
assert_true('face vs house' == contains)
assert_false('smiling face vs frowning face' == contains)