def test__clean_inputs1():
c = [1, 2]
A_ub = [[1, 1], [2, 2]]
b_ub = [1, 1]
A_eq = [[1, 1], [2, 2]]
b_eq = [1, 1]
bounds = None
outputs = _clean_inputs(
c=c,
A_ub=A_ub,
b_ub=b_ub,
A_eq=A_eq,
b_eq=b_eq,
bounds=bounds)
assert_allclose(outputs[0], np.array(c))
assert_allclose(outputs[1], np.array(A_ub))
assert_allclose(outputs[2], np.array(b_ub))
assert_allclose(outputs[3], np.array(A_eq))
assert_allclose(outputs[4], np.array(b_eq))
assert_(outputs[5] == [(0, None)] * 2, "")
assert_(outputs[0].shape == (2,), "")
assert_(outputs[1].shape == (2, 2), "")
assert_(outputs[2].shape == (2,), "")
assert_(outputs[3].shape == (2, 2), "")
assert_(outputs[4].shape == (2,), "")
def test__clean_inputs2():
c = 1
A_ub = [[1]]
b_ub = 1
A_eq = [[1]]
b_eq = 1
bounds = (0, 1)
outputs = _clean_inputs(
c=c,
A_ub=A_ub,
b_ub=b_ub,
A_eq=A_eq,
b_eq=b_eq,
bounds=bounds)
assert_allclose(outputs[0], np.array(c))
assert_allclose(outputs[1], np.array(A_ub))
assert_allclose(outputs[2], np.array(b_ub))
assert_allclose(outputs[3], np.array(A_eq))
assert_allclose(outputs[4], np.array(b_eq))
assert_(outputs[5] == [(0, 1)], "")
assert_(outputs[0].shape == (1,), "")
assert_(outputs[1].shape == (1, 1), "")
assert_(outputs[2].shape == (1,), "")
assert_(outputs[3].shape == (1, 1), "")
assert_(outputs[4].shape == (1,), "")
def test__clean_inputs2():
c = 1
A_ub = [[1]]
b_ub = 1
A_eq = [[1]]
b_eq = 1
bounds = (0, 1)
outputs = _clean_inputs(c=c,
A_ub=A_ub,
b_ub=b_ub,
A_eq=A_eq,
b_eq=b_eq,
bounds=bounds)
assert_allclose(outputs[0], np.array(c))
assert_allclose(outputs[1], np.array(A_ub))
assert_allclose(outputs[2], np.array(b_ub))
assert_allclose(outputs[3], np.array(A_eq))
assert_allclose(outputs[4], np.array(b_eq))
assert_(outputs[5] == [(0, 1)], "")
assert_(outputs[0].shape == (1, ), "")
assert_(outputs[1].shape == (1, 1), "")
assert_(outputs[2].shape == (1, ), "")
assert_(outputs[3].shape == (1, 1), "")
assert_(outputs[4].shape == (1, ), "")
def test__clean_inputs1():
c = [1, 2]
A_ub = [[1, 1], [2, 2]]
b_ub = [1, 1]
A_eq = [[1, 1], [2, 2]]
b_eq = [1, 1]
bounds = None
outputs = _clean_inputs(c=c,
A_ub=A_ub,
b_ub=b_ub,
A_eq=A_eq,
b_eq=b_eq,
bounds=bounds)
assert_allclose(outputs[0], np.array(c))
assert_allclose(outputs[1], np.array(A_ub))
assert_allclose(outputs[2], np.array(b_ub))
assert_allclose(outputs[3], np.array(A_eq))
assert_allclose(outputs[4], np.array(b_eq))
assert_(outputs[5] == [(0, None)] * 2, "")
assert_(outputs[0].shape == (2, ), "")
assert_(outputs[1].shape == (2, 2), "")
assert_(outputs[2].shape == (2, ), "")
assert_(outputs[3].shape == (2, 2), "")
assert_(outputs[4].shape == (2, ), "")
def test_aliasing2():
c = np.array([1, 1])
A_ub = np.array([[1, 1], [2, 2]])
b_ub = np.array([[1], [1]])
A_eq = np.array([[1, 1]])
b_eq = np.array([1])
bounds = [(-np.inf, np.inf), (None, 1)]
c_copy = c.copy()
A_ub_copy = A_ub.copy()
b_ub_copy = b_ub.copy()
A_eq_copy = A_eq.copy()
b_eq_copy = b_eq.copy()
bounds_copy = deepcopy(bounds)
_clean_inputs(c, A_ub, b_ub, A_eq, b_eq, bounds)
assert_allclose(c, c_copy, err_msg="c modified by _clean_inputs")
assert_allclose(A_ub, A_ub_copy, err_msg="A_ub modified by _clean_inputs")
assert_allclose(b_ub, b_ub_copy, err_msg="b_ub modified by _clean_inputs")
assert_allclose(A_eq, A_eq_copy, err_msg="A_eq modified by _clean_inputs")
assert_allclose(b_eq, b_eq_copy, err_msg="b_eq modified by _clean_inputs")
assert_(bounds == bounds_copy, "bounds modified by _clean_inputs")
def test_aliasing():
c = 1
A_ub = [[1]]
b_ub = [1]
A_eq = [[1]]
b_eq = [1]
bounds = (-np.inf, np.inf)
c_copy = deepcopy(c)
A_ub_copy = deepcopy(A_ub)
b_ub_copy = deepcopy(b_ub)
A_eq_copy = deepcopy(A_eq)
b_eq_copy = deepcopy(b_eq)
bounds_copy = deepcopy(bounds)
_clean_inputs(c, A_ub, b_ub, A_eq, b_eq, bounds)
assert_(c == c_copy, "c modified by _clean_inputs")
assert_(A_ub == A_ub_copy, "A_ub modified by _clean_inputs")
assert_(b_ub == b_ub_copy, "b_ub modified by _clean_inputs")
assert_(A_eq == A_eq_copy, "A_eq modified by _clean_inputs")
assert_(b_eq == b_eq_copy, "b_eq modified by _clean_inputs")
assert_(bounds == bounds_copy, "bounds modified by _clean_inputs")
def test_aliasing2():
c = np.array([1, 1])
A_ub = np.array([[1, 1], [2, 2]])
b_ub = np.array([[1], [1]])
A_eq = np.array([[1, 1]])
b_eq = np.array([1])
bounds = [(-np.inf, np.inf), (None, 1)]
c_copy = c.copy()
A_ub_copy = A_ub.copy()
b_ub_copy = b_ub.copy()
A_eq_copy = A_eq.copy()
b_eq_copy = b_eq.copy()
bounds_copy = deepcopy(bounds)
_clean_inputs(c, A_ub, b_ub, A_eq, b_eq, bounds)
assert_allclose(c, c_copy, err_msg="c modified by _clean_inputs")
assert_allclose(A_ub, A_ub_copy, err_msg="A_ub modified by _clean_inputs")
assert_allclose(b_ub, b_ub_copy, err_msg="b_ub modified by _clean_inputs")
assert_allclose(A_eq, A_eq_copy, err_msg="A_eq modified by _clean_inputs")
assert_allclose(b_eq, b_eq_copy, err_msg="b_eq modified by _clean_inputs")
assert_(bounds == bounds_copy, "bounds modified by _clean_inputs")
def test_aliasing():
c = 1
A_ub = [[1]]
b_ub = [1]
A_eq = [[1]]
b_eq = [1]
bounds = (-np.inf, np.inf)
c_copy = deepcopy(c)
A_ub_copy = deepcopy(A_ub)
b_ub_copy = deepcopy(b_ub)
A_eq_copy = deepcopy(A_eq)
b_eq_copy = deepcopy(b_eq)
bounds_copy = deepcopy(bounds)
_clean_inputs(c, A_ub, b_ub, A_eq, b_eq, bounds)
assert_(c == c_copy, "c modified by _clean_inputs")
assert_(A_ub == A_ub_copy, "A_ub modified by _clean_inputs")
assert_(b_ub == b_ub_copy, "b_ub modified by _clean_inputs")
assert_(A_eq == A_eq_copy, "A_eq modified by _clean_inputs")
assert_(b_eq == b_eq_copy, "b_eq modified by _clean_inputs")
assert_(bounds == bounds_copy, "bounds modified by _clean_inputs")
def test__clean_inputs3():
c = [[1, 2]]
A_ub = np.random.rand(2, 2)
b_ub = [[1], [2]]
A_eq = np.random.rand(2, 2)
b_eq = [[1], [2]]
bounds = [(0, 1)]
outputs = _clean_inputs(c=c,
A_ub=A_ub,
b_ub=b_ub,
A_eq=A_eq,
b_eq=b_eq,
bounds=bounds)
assert_allclose(outputs[0], np.array([1, 2]))
assert_allclose(outputs[2], np.array([1, 2]))
assert_allclose(outputs[4], np.array([1, 2]))
assert_(outputs[5] == [(0, 1)] * 2, "")
assert_(outputs[0].shape == (2, ), "")
assert_(outputs[2].shape == (2, ), "")
assert_(outputs[4].shape == (2, ), "")
def test__clean_inputs3():
c = [[1, 2]]
A_ub = np.random.rand(2, 2)
b_ub = [[1], [2]]
A_eq = np.random.rand(2, 2)
b_eq = [[1], [2]]
bounds = [(0, 1)]
outputs = _clean_inputs(
c=c,
A_ub=A_ub,
b_ub=b_ub,
A_eq=A_eq,
b_eq=b_eq,
bounds=bounds)
assert_allclose(outputs[0], np.array([1, 2]))
assert_allclose(outputs[2], np.array([1, 2]))
assert_allclose(outputs[4], np.array([1, 2]))
assert_(outputs[5] == [(0, 1)] * 2, "")
assert_(outputs[0].shape == (2,), "")
assert_(outputs[2].shape == (2,), "")
assert_(outputs[4].shape == (2,), "")
def test_good_bounds():
c = [1, 2]
outputs = _clean_inputs(c=c, bounds=None)
assert_(outputs[5] == [(0, None)] * 2, "")
outputs = _clean_inputs(c=c, bounds=(1, 2))
assert_(outputs[5] == [(1, 2)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(1, 2)])
assert_(outputs[5] == [(1, 2)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(1, np.inf)])
assert_(outputs[5] == [(1, None)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(-np.inf, 1)])
assert_(outputs[5] == [(None, 1)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(-np.inf, np.inf), (-np.inf, np.inf)])
assert_(outputs[5] == [(None, None)] * 2, "")
def test_good_bounds():
c = [1, 2]
outputs = _clean_inputs(c=c, bounds=None)
assert_(outputs[5] == [(0, None)] * 2, "")
outputs = _clean_inputs(c=c, bounds=(1, 2))
assert_(outputs[5] == [(1, 2)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(1, 2)])
assert_(outputs[5] == [(1, 2)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(1, np.inf)])
assert_(outputs[5] == [(1, None)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(-np.inf, 1)])
assert_(outputs[5] == [(None, 1)] * 2, "")
outputs = _clean_inputs(c=c, bounds=[(-np.inf, np.inf), (-np.inf, np.inf)])
assert_(outputs[5] == [(None, None)] * 2, "")