def generate_data(n_subjects, n_conditions):
 rng = np.random.RandomState(42)
 data = rng.randn((n_subjects * n_conditions)).reshape(n_subjects, n_conditions)
 return data

def generate_data ( n_subjects , n_conditions ) : rng = np . random . RandomState ( 42 ) data = rng . randn ( ( n_subjects * n_conditions ) ) . reshape ( n_subjects , n_conditions ) return data
generate random blob-ish data with noisy features .