def test_analysis_lag_crp():
# example from kahana lab lag-crp tutorial
presented = [[['1', '2', '3', '4', '5', '6', '7', '8']]]
recalled = [[['8', '7', '1', '2', '3', '5', '6', '4']]]
egg = Egg(pres=presented, rec=recalled)
assert np.allclose(analyze(egg, analysis='lagcrp').data.values,
np.array([[
0.0, 0.0, 0.5, 0.0, 0.0, 0.0, 0.333333, 0.333333,
np.nan, 0.75, 0.333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
]]),
equal_nan=True)
def test_analysis_spc_multisubj():
assert np.array_equal(
analyze(multisubj_egg, analysis='spc').data.values,
np.array([[1., 1., 1., 1.], [1., 1., 0., 1.], [1., 1., 1., 1.],
[1., 1., 0., 1.]]))
def test_analysis_acc_multisubj():
assert np.array_equal(
analyze(multisubj_egg, analysis='accuracy').data.values,
np.array([[1.], [.75], [1.], [.75]]))
def test_analysis_pfr_listgroup():
assert np.array_equal(
analyze(egg, listgroup=['one', 'one'], analysis='pfr').data.values,
np.array([[0., 1., 0., 0.]]))
def test_analysis_pfr():
assert np.array_equal(
analyze(egg, analysis='pfr').data.values,
[np.array([0., 1., 0., 0.]),
np.array([0., 1., 0., 0.])])
def test_analysis_spc_listgroup():
assert np.array_equal(
analyze(egg, listgroup=[1, 1], listname='Frank',
analysis='spc').data.values, np.array([[1., 1., 0.5, 1.]]))
def test_analysis_spc():
assert np.array_equal(
analyze(egg, analysis='spc').data.values,
[np.array([1., 1., 1., 1.]),
np.array([1., 1., 0., 1.])])
def test_analysis_acc():
print(analyze(egg, analysis='accuracy'))
print([np.array([1.]), np.array([.75])])
assert np.array_equal(
analyze(egg, analysis='accuracy').data.values,
[np.array([1.]), np.array([.75])])