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Ignore expected warnings in tests #67

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Ignore expected warnings in tests #67

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20 changes: 20 additions & 0 deletions tests/other_tests/test_mp_program.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,50 +60,60 @@ def simple_qp_program() -> MPQP_Program:
return MPQP_Program(A, b, c, H, Q, A_t, b_t, F, post_process=True)


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_active_set(linear_program):
assert linear_program.equality_indices == [0]


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_num_x(linear_program):
assert linear_program.num_x() == 3


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_num_t(linear_program):
assert linear_program.num_t() == 10


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_num_constraints(linear_program):
assert linear_program.num_constraints() == 3


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_1(linear_program):
assert len(linear_program.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_2(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.A = numpy.eye(10)
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_3(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.b = numpy.zeros((4, 1))
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_4(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.b_t = numpy.zeros((12, 1))
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_5(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.c = numpy.zeros((12, 1))
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_6(linear_program):
try:
linear_program_2 = copy.deepcopy(linear_program)
Expand All @@ -113,30 +123,35 @@ def test_warnings_6(linear_program):
assert True


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_7(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.c = numpy.zeros((12))
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_8(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.b = numpy.zeros((12))
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_9(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.F = numpy.zeros((12, 10))
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_10(linear_program):
linear_program_2 = copy.deepcopy(linear_program)
linear_program_2.A = numpy.zeros((12, 10))
assert len(linear_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_latex_lp(linear_program):
_ = linear_program.latex()

Expand All @@ -153,6 +168,7 @@ def test_latex_lp(linear_program):
assert True


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_scale_constraints_1(linear_program):
lp_2 = copy.deepcopy(linear_program)
lp_2.scale_constraints()
Expand All @@ -166,24 +182,28 @@ def test_scale_constraints_1(linear_program):
# mpQP programming
################

@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_qp_1(quadratic_program):
qp_program_2 = copy.deepcopy(quadratic_program)
qp_program_2.Q = numpy.zeros((3, 4))
assert len(qp_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_qp_2(quadratic_program):
qp_program_2 = copy.deepcopy(quadratic_program)
qp_program_2.Q = numpy.zeros((5, 5))
assert len(qp_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_qp_3(quadratic_program):
qp_program_2 = copy.deepcopy(quadratic_program)
qp_program_2.Q = numpy.diag([1, 0, -1])
assert len(qp_program_2.warnings()) > 0


@pytest.mark.filterwarnings("ignore::UserWarning")
def test_warnings_qp_4(quadratic_program):
qp_program_2 = copy.deepcopy(quadratic_program)
qp_program_2.Q = numpy.diag([1, 0, 10 ** -5])
Expand Down