擅长:python、mysql、java
<pre><code>LCM_SCS = {
(1, "A"): 36, (1, "B"): 60, (1, "C"): 73, (1, "D"): 79,
(2, "A"): 36, (2, "B"): 60, (2, "C"): 73, (2, "D"): 79,
(3, "A"): 74, (3, "B"): 83, (3, "C"): 88, (3, "D"): 90,
(4, "A"): 68, (4, "B"): 79, (4, "C"): 86, (4, "D"): 89,
(5, "A"): 30, (5, "B"): 58, (5, "C"): 71, (5, "D"): 78,
(6, "A"): 39, (6, "B"): 61, (6, "C"): 74, (6, "D"): 80,
(7, "A"): 39, (7, "B"): 61, (7, "C"): 74, (7, "D"): 80,
(8, "A"): 39, (8, "B"): 61, (8, "C"): 74, (8, "D"): 80,
(10, "A"): 30, (10, "B"): 48, (10, "C"): 65, (10, "D"): 73}
array1 = np.array([[1, 1, 1], [2, 2, 3], [2, 4, 5]]).tolist()
array2 = np.array([["A", "A", "A"], ["B", "B", "B"], ["C", "C", "C"]]).tolist()
array1 = [y for sub in array1 for y in sub]
array2 = [y for sub in array2 for y in sub]
results = [LCM_SCS[(array1[k], array2[k])] for k in range(len(array1))]
</code></pre>
<p><strong>输出:</strong></p>
^{pr2}$
<p>您可以根据需要将其转换为列表列表,甚至使其成为<code>np.array()</code>。在</p>