def test_prediction_copies():
"prediction properties should be copies"
p = testing.micro_prediction()
ok_(testing.shares_memory(p, p), "looks like shares_memory failed")
ok_(testing.shares_memory(p, p.ids), "p.ids should be a view")
ok_(testing.shares_memory(p, p.y), "p.y should be a view")
ok_(not testing.shares_memory(p, p.copy()), "should be a copy")
def test_prediction_copies():
"prediction properties should be copies"
d = play_data()
p = Prediction()
p.append(d.ids, d.y)
ok_(shares_memory(p, p), "looks like shares_memory failed")
ok_(shares_memory(p, p.ids), "p.ids should be a view")
ok_(shares_memory(p, p.yhat), "p.yhat should be a view")
ok_(not shares_memory(p, p.copy()), "should be a copy")
def test_data_xnew():
"test data.xnew"
d = nx.testing.micro_data()
x = d.x.copy()
x = x[:, -2:]
d2 = d.xnew(x)
ok_(not shares_memory(d, d2), "data.xnew should return a copy")
ok_(d2.xshape[1] == 2, "x should have two columns")
assert_array_equal(d2.x, x, "data.xnew corrupted the values")
assert_raises(ValueError, d.xnew, x[:4])
def test_data_copies():
"data properties should be copies or views"
d = micro_data()
ok_(shares_memory(d, d), "looks like shares_memory failed")
# copies
ok_(not shares_memory(d, d.copy()), "should be a copy")
ok_(not shares_memory(d, d.era), "d.era should be a copy")
ok_(not shares_memory(d, d.region), "d.region should be a copy")
ok_(not shares_memory(d, d.ids), "d.ids should be a copy")
# views
ok_(shares_memory(d, d.era_float), "d.era_float should be a view")
ok_(shares_memory(d, d.region_float), "d.region_float should be a view")
ok_(shares_memory(d, d.x), "d.x should be a view")
ok_(shares_memory(d, d.y[:]), "d.y[:] should be a view")
def test_data_pca():
"test data.pca"
d = nx.play_data()
nfactors = (None, 3, 0.5)
for nfactor in nfactors:
d2 = d.pca(nfactor=nfactor)
msg = "data.pca should return a copy"
ok_(not shares_memory(d, d2), msg)
if nfactor is None:
ok_(d.shape == d2.shape, "shape should not change")
corr = np.corrcoef(d2.x.T)
corr.flat[::corr.shape[0] + 1] = 0
corr = np.abs(corr).max()
ok_(corr < 1e-5, "features are not orthogonal")
def test_data_copies():
"data properties should be copies"
d = micro_data()
ok_(shares_memory(d, d), "looks like shares_memory failed")
ok_(~shares_memory(d, d.copy()), "should be a copy")
ok_(~shares_memory(d, d.ids), "d.ids should be a copy")
ok_(~shares_memory(d, d.era), "d.era should be a copy")
ok_(~shares_memory(d, d.region), "d.region should be a copy")
ok_(~shares_memory(d, d.x), "d.x should be a copy")
ok_(~shares_memory(d, d.y), "d.y should be a copy")