def test_bigmip_ordering_by_subsystem_size(s, s_single):
small = models.BigMip(
unpartitioned_constellation=None,
partitioned_constellation=None, subsystem=s_single, cut_subsystem=(),
phi=1.0)
big = models.BigMip(
unpartitioned_constellation=None,
partitioned_constellation=None, subsystem=s, cut_subsystem=(),
phi=1.0)
assert small < big
assert small <= big
assert big > small
assert big >= small
assert big != small
def test_bigmip_equality(s):
phi = 1.0
bigmip = models.BigMip(
unpartitioned_constellation=None, partitioned_constellation=None,
subsystem=s, cut_subsystem=s,
phi=phi)
close_enough = models.BigMip(
unpartitioned_constellation=None, partitioned_constellation=None,
subsystem=s, cut_subsystem=s,
phi=(phi - constants.EPSILON/2))
not_quite = models.BigMip(
unpartitioned_constellation=None, partitioned_constellation=None,
subsystem=s, cut_subsystem=s,
phi=(phi - constants.EPSILON*2))
assert bigmip == close_enough
assert bigmip != not_quite
def test_bigmip_odering_by_mechanism():
small = models.BigMip(unpartitioned_constellation=None,
partitioned_constellation=None,
subsystem=[1],
cut_subsystem=(),
phi=1.0)
big = models.BigMip(unpartitioned_constellation=None,
partitioned_constellation=None,
subsystem=[1, 2],
cut_subsystem=(),
phi=1.0)
assert small < big
assert small <= big
assert big > small
assert big >= small
assert big != small
def test_big_mip_wrappers(reducible, flushcache, restore_fs_cache):
flushcache()
assert (compute.big_mip(reducible) ==
models.BigMip(subsystem=reducible, cut_subsystem=reducible,
phi=0.0, unpartitioned_constellation=[],
partitioned_constellation=[]))
assert compute.big_phi(reducible) == 0.0
def test_bigmip_repr_str():
bigmip = models.BigMip(unpartitioned_constellation=None,
partitioned_constellation=None,
subsystem=(),
cut_subsystem=(),
phi=1.0)
print(repr(bigmip))
print(str(bigmip))
def test_big_mip_empty_subsystem(s_empty, flushcache, restore_fs_cache):
flushcache()
assert (compute.big_mip(s_empty) ==
models.BigMip(phi=0.0,
unpartitioned_constellation=(),
partitioned_constellation=(),
subsystem=s_empty,
cut_subsystem=s_empty))
def test_bigmip_ordering(s, s_noised):
phi1 = models.BigMip(
unpartitioned_constellation=None, partitioned_constellation=None,
subsystem=s, cut_subsystem=(),
phi=1.0)
different_phi1 = models.BigMip(
unpartitioned_constellation=0, partitioned_constellation=None,
subsystem=s_noised, cut_subsystem=(),
phi=1.0)
phi2 = models.BigMip(
unpartitioned_constellation='stilldifferent',
partitioned_constellation=None, subsystem=s, cut_subsystem=(),
phi=1.0 + constants.EPSILON*2)
assert phi1 < phi2
assert phi2 > phi1
assert phi1 <= phi2
assert phi2 >= phi1
with pytest.raises(TypeError):
phi1 <= different_phi1
with pytest.raises(TypeError):
phi1 >= different_phi1
def test_bigmip_ordering():
phi1 = models.BigMip(unpartitioned_constellation=None,
partitioned_constellation=None,
subsystem=(),
cut_subsystem=(),
phi=1.0)
different_phi1 = models.BigMip(unpartitioned_constellation=0,
partitioned_constellation=None,
subsystem=(),
cut_subsystem=(),
phi=1.0)
phi2 = models.BigMip(unpartitioned_constellation='stilldifferent',
partitioned_constellation=None,
subsystem=(),
cut_subsystem=(),
phi=1.0 + constants.EPSILON * 2)
assert phi1 < phi2
assert phi2 > phi1
assert phi1 <= phi2
assert phi2 >= phi1
assert phi1 <= different_phi1
assert phi1 >= different_phi1
def test_big_mip_disconnected_network(reducible, flushcache, restore_fs_cache):
flushcache()
assert (compute.big_mip(reducible) ==
models.BigMip(subsystem=reducible, cut_subsystem=reducible,
phi=0.0, unpartitioned_constellation=[],
partitioned_constellation=[]))