def test_semistandard_marked():
mu = ()
assert Tableau.semistandard_marked(0, mu) == {Tableau()}
assert Tableau.semistandard_marked(1, mu) == {Tableau()}
assert Tableau.semistandard_marked(2, mu) == {Tableau()}
mu = (1, )
assert Tableau.semistandard_marked(1, mu) == {
Tableau({(1, 1): 1}),
Tableau({(1, 1): -1}),
}
assert Tableau.semistandard_marked(2, mu) == {
Tableau({(1, 1): 1}),
Tableau({(1, 1): -1}),
Tableau({(1, 1): 2}),
Tableau({(1, 1): -2}),
}
mu = (3, 1)
print(Tableau.semistandard_marked(1, mu))
assert Tableau.semistandard_marked(1, mu) == {
Tableau({
(1, 1): -1,
(2, 1): -1,
(1, 2): 1,
(1, 3): 1
}),
Tableau({
(1, 1): -1,
(2, 1): 1,
(1, 2): 1,
(1, 3): 1
}),
}
mu = (3, 2)
assert Tableau.semistandard_marked(1, mu) == set()
def _slow_schur_s(cls, num_variables, mu, nu=()):
return cls._slow_vectorize(
num_variables, Tableau.semistandard_marked(num_variables, mu, nu))
