def test_get_grid_points_num_grid_points_None(l):
x = pd.Series(l)
assert compare_with_NaN(x.unique(), ice.get_grid_points(x, None)).all()
def test_get_grid_points_num_grid_points_too_many():
x = pd.Series(np.array([0, 0, 1]))
expected_grid_points = np.array([0, 0.5, 1])
assert (expected_grid_points == ice.get_grid_points(x, 5)).all()
def test_get_grid_points_num_grid_points():
x = pd.Series(np.array([0, 0, 1, 2, 3, 4, 5, 6, 7]))
expected_grid_points = np.array([0, 1, 3, 5, 7])
assert (expected_grid_points == ice.get_grid_points(x, 5)).all()
def test_get_grid_points_num_grid_points_None(l):
x = pd.Series(l)
assert compare_with_NaN(x.unique(), ice.get_grid_points(x, None)).all()
def test_get_grid_points_num_grid_points_too_many():
x = pd.Series(np.array([0, 0, 1]))
expected_grid_points = np.array([0, 0.5, 1])
assert (expected_grid_points == ice.get_grid_points(x, 5)).all()
def test_get_grid_points_num_grid_points():
x = pd.Series(np.array([0, 0, 1, 2, 3, 4, 5, 6, 7]))
expected_grid_points = np.array([0, 1, 3, 5, 7])
assert (expected_grid_points == ice.get_grid_points(x, 5)).all()
