def sparse_run_variable_with_missing_values():
data = pd.DataFrame({
'onset': [2, 5, 11, 17],
'duration': [1.2, 1.6, 0.8, 2],
'amplitude': [1, 1, np.nan, 1]
})
run_info = [RunInfo({'subject': '01'}, 20, 2, 'dummy.nii.gz')]
var = SparseRunVariable('var', data, run_info, 'events')
return BIDSRunVariableCollection([var])
def test_convolve_impulse():
# Smoke test impulse convolution
data = pd.DataFrame({
'onset': [10, 20],
'duration': [0, 0],
'amplitude': [1, 1]
})
run_info = [RunInfo({'subject': '01'}, 20, 2, 'dummy.nii.gz', 10)]
var = SparseRunVariable(
name='var', data=data, run_info=run_info, source='events')
coll = BIDSRunVariableCollection([var])
transform.ToDense(coll, 'var', output='var_dense')
transform.Convolve(coll, 'var', output='var_hrf')
transform.Convolve(coll, 'var_dense', output='var_dense_hrf')