def test_sparsealleles():
a = SparseAlleles([1,2,3,-1], refcode=1)
b = SparseAlleles([1,3,2,-1], refcode=1)
assert a.nmark() == b.nmark() == 4
assert (a.missing == np.array([False, False, False, True])).all()
assert (a.missing == b.missing).all()
# Test todense
assert (a.todense() == [1, 2, 3, -1]).all()
assert isinstance(a.todense(), Alleles)
a = SparseAlleles([0,0,1, 0,-1, 1], refcode=0)
a[0] = a.missingcode
assert list(a.missing) == [True, False, False, False, True, False]
def test_sparsealleles():
a = SparseAlleles([1, 2, 3, -1], refcode=1)
b = SparseAlleles([1, 3, 2, -1], refcode=1)
assert a.nmark() == b.nmark() == 4
assert (a.missing == np.array([False, False, False, True])).all()
assert (a.missing == b.missing).all()
# Test todense
assert (a.todense() == [1, 2, 3, -1]).all()
assert isinstance(a.todense(), Alleles)
a = SparseAlleles([0, 0, 1, 0, -1, 1], refcode=0)
a[0] = a.missingcode
assert list(a.missing) == [True, False, False, False, True, False]
def test_sparsealleles_emptylike():
a = SparseAlleles([1,2,3,4])
e = a.empty_like()
assert ((not e.container.any()) and
(e.refcode == a.refcode) and
(a.nmark() == e.nmark()))
def test_sparsealleles_emptylike():
a = SparseAlleles([1, 2, 3, 4])
e = a.empty_like()
assert ((not e.container.any()) and (e.refcode == a.refcode)
and (a.nmark() == e.nmark()))
