``set_state()`` method quietly accepts transposed array

[JoelPasvolsky]

>>> model = Model()
>>> x = model.integer((2, 5))
>>> with model.lock():
...     model.states.resize(2)
...     x.set_state(0, [[1, 2], [1, 3], [4, 1], [3, 2], [5, 5]])
...     x.set_state(1, [[1, 2, 3, 4, 5], [5, 4, 3, 2, 1]])
...     print(x.state(1))
...     print(x.state(0))
[[1. 2. 3. 4. 5.]
 [5. 4. 3. 2. 1.]]
[[1. 2. 1. 3. 4.]
 [1. 3. 2. 5. 5.]]

It's a nice "feature" to use but it will probably trip someone up.

[arcondello]

Just need to add a shape check before

dwave-optimization/dwave/optimization/symbols/numbers.pyx

Line 179 in e56f29e

cdef Py_ssize_t[:] arr = np.asarray(state, dtype=np.intp).flatten()

. Good first issue for someone or I'll get around to it eventually.