def test_fetch_development_fmri():
data = func.fetch_development_fmri(n_subjects=2,
data_dir=tst.tmpdir, verbose=1)
assert_equal(len(data.func), 2)
assert_equal(len(data.confounds), 2)
assert_true(isinstance(data.phenotypic, np.ndarray))
assert_equal(data.phenotypic.shape, (2,))
assert_not_equal(data.description, '')
def test_fetch_development_fmri():
data = func.fetch_development_fmri(n_subjects=2,
data_dir=tst.tmpdir, verbose=1)
assert_equal(len(data.func), 2)
assert_equal(len(data.confounds), 2)
assert_true(isinstance(data.phenotypic, np.ndarray))
assert_equal(data.phenotypic.shape, (2,))
assert_not_equal(data.description, '')
# check reduced confounds
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert_equal(len(confounds[0]), 15)
# check full confounds
data = func.fetch_development_fmri(n_subjects=2, reduce_confounds=False,
verbose=1)
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert_equal(len(confounds[0]), 28)
def test_fetch_development_fmri():
data = func.fetch_development_fmri(n_subjects=2,
data_dir=tst.tmpdir, verbose=1)
assert_equal(len(data.func), 2)
assert_equal(len(data.confounds), 2)
assert_true(isinstance(data.phenotypic, np.ndarray))
assert_equal(data.phenotypic.shape, (2,))
assert_not_equal(data.description, '')
# check reduced confounds
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert_equal(len(confounds[0]), 15)
# check full confounds
data = func.fetch_development_fmri(n_subjects=2, reduce_confounds=False,
verbose=1)
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert_equal(len(confounds[0]), 28)
def test_fetch_development_fmri():
data = func.fetch_development_fmri(n_subjects=2,
data_dir=tst.tmpdir,
verbose=1)
assert_equal(len(data.func), 2)
assert_equal(len(data.confounds), 2)
assert_true(isinstance(data.phenotypic, np.ndarray))
assert_equal(data.phenotypic.shape, (2, ))
assert_not_equal(data.description, '')
def test_fetch_development_fmri(tmp_path, request_mocker):
mock_participants = _mock_participants_data()
request_mocker.url_mapping["*"] = _mock_development_confounds().to_csv(
index=False, sep="\t")
request_mocker.url_mapping[
"https://osf.io/yr3av/download"] = mock_participants.to_csv(
index=False, sep="\t")
data = func.fetch_development_fmri(n_subjects=2,
data_dir=tmp_path,
verbose=1)
assert len(data.func) == 2
assert len(data.confounds) == 2
assert isinstance(data.phenotypic, np.ndarray)
assert data.phenotypic.shape == (2, )
assert data.description != ''
# check reduced confounds
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert len(confounds[0]) == 15
# check full confounds
data = func.fetch_development_fmri(n_subjects=2,
reduce_confounds=False,
verbose=1)
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert len(confounds[0]) == 28
# check first subject is an adult
data = func.fetch_development_fmri(n_subjects=1,
reduce_confounds=False,
verbose=1)
age_group = data.phenotypic['Child_Adult'][0]
assert age_group == 'adult'
# check first subject is an child if requested with age_group
data = func.fetch_development_fmri(n_subjects=1,
reduce_confounds=False,
verbose=1,
age_group='child')
age_group = data.phenotypic['Child_Adult'][0]
assert age_group == 'child'
# check one of each age group returned if n_subject == 2
# and age_group == 'both
data = func.fetch_development_fmri(n_subjects=2,
reduce_confounds=False,
verbose=1,
age_group='both')
age_group = data.phenotypic['Child_Adult']
assert (all(age_group == ['adult', 'child']))
# check age_group
data = func.fetch_development_fmri(n_subjects=2,
reduce_confounds=False,
verbose=1,
age_group='child')
assert (all([x == 'child' for x in data.phenotypic['Child_Adult']]))
def test_fetch_development_fmri(tmp_path):
data = func.fetch_development_fmri(n_subjects=2,
data_dir=str(tmp_path),
verbose=1)
assert len(data.func) == 2
assert len(data.confounds) == 2
assert isinstance(data.phenotypic, np.ndarray)
assert data.phenotypic.shape == (2, )
assert data.description != ''
# check reduced confounds
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert len(confounds[0]) == 15
# check full confounds
data = func.fetch_development_fmri(n_subjects=2,
reduce_confounds=False,
verbose=1)
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert len(confounds[0]) == 28
# check first subject is an adult
data = func.fetch_development_fmri(n_subjects=1,
reduce_confounds=False,
verbose=1)
age_group = data.phenotypic['Child_Adult'][0]
assert age_group == 'adult'
# check first subject is an child if requested with age_group
data = func.fetch_development_fmri(n_subjects=1,
reduce_confounds=False,
verbose=1,
age_group='child')
age_group = data.phenotypic['Child_Adult'][0]
assert age_group == 'child'
# check one of each age group returned if n_subject == 2
# and age_group == 'both
data = func.fetch_development_fmri(n_subjects=2,
reduce_confounds=False,
verbose=1,
age_group='both')
age_group = data.phenotypic['Child_Adult']
assert (all(age_group == ['adult', 'child']))
# check age_group
data = func.fetch_development_fmri(n_subjects=2,
reduce_confounds=False,
verbose=1,
age_group='child')
assert (all([x == 'child' for x in data.phenotypic['Child_Adult']]))
def test_fetch_development_fmri():
data = func.fetch_development_fmri(n_subjects=2,
data_dir=tst.tmpdir, verbose=1)
assert_equal(len(data.func), 2)
assert_equal(len(data.confounds), 2)
assert_true(isinstance(data.phenotypic, np.ndarray))
assert_equal(data.phenotypic.shape, (2,))
assert_not_equal(data.description, '')
# check reduced confounds
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert_equal(len(confounds[0]), 15)
# check full confounds
data = func.fetch_development_fmri(n_subjects=2, reduce_confounds=False,
verbose=1)
confounds = np.recfromcsv(data.confounds[0], delimiter='\t')
assert_equal(len(confounds[0]), 28)
# check first subject is an adult
data = func.fetch_development_fmri(n_subjects=1, reduce_confounds=False,
verbose=1)
age_group = data.phenotypic['Child_Adult'][0]
assert_equal(age_group, 'adult')
# check first subject is an child if requested with age_group
data = func.fetch_development_fmri(n_subjects=1, reduce_confounds=False,
verbose=1, age_group='child')
age_group = data.phenotypic['Child_Adult'][0]
assert_equal(age_group, 'child')
# check one of each age group returned if n_subject == 2
# and age_group == 'both
data = func.fetch_development_fmri(n_subjects=2, reduce_confounds=False,
verbose=1, age_group='both')
age_group = data.phenotypic['Child_Adult']
assert(all(age_group == ['adult', 'child']))
# check age_group
data = func.fetch_development_fmri(n_subjects=2, reduce_confounds=False,
verbose=1, age_group='child')
assert(all([x == 'child' for x in data.phenotypic['Child_Adult']]))
