def test_find_closest_unsorted_multiple_values():
n = 100
x = np.random.normal(size=n)
# select three random points
random_index = np.random.choice(n, 3)
xq = x[random_index]
closest_index = utils.find_closest(x, xq, is_sorted=False)
assert np.equal(random_index, closest_index).all()
def test_find_closest_multiple_values():
x = np.arange(100)
y = np.array([-10, 4.6, 67.1, 101])
ind = np.array([0, 5, 67, 99], dtype=int)
result = utils.find_closest(x, y)
assert np.array_equal(result, ind)
def test_find_closest_empty_y():
x = np.arange(10)
y = np.array([])
with pytest.raises(ValueError):
utils.find_closest(x, y)
def test_find_closest_empty_x():
x = np.array([])
y = 10
with pytest.raises(ValueError):
utils.find_closest(x, y)
def test_find_closest_middle():
x = np.arange(10)
y = 4.6
ind = utils.find_closest(x, y)
assert ind == 5
def test_find_closest_right_border():
x = np.arange(10)
y = 10
ind = utils.find_closest(x, y)
assert ind == (x.size - 1)
def test_find_closest_left_border():
x = np.arange(10)
y = -1
ind = utils.find_closest(x, y)
assert ind == 0