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14190693
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2013-01-07T06:00:14.957
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2013-01-07T06:05:28.897
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2013-01-07T06:05:28.897
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multiplying a single reference data type would simply create multiple references of the same type. What it means is that [True]*N is actually N times the same instance of the element [True] Thus changing one would inadvertently change the others As you can see in the following example, <pre><code>>>> grid = [[True]]*10 >>> grid = [True]*10 >>> [id(e) for e in grid] [505379788, 505379788, 505379788, 505379788, 505379788, 505379788, 505379788, 505379788, 505379788, 505379788] </code></pre> It shows all the elements are actually the same instance. But because here as the element is not a mutable Type, changing won't be an issue here as, changing one of the element would simply assign a new instance. Problem happens with a mutable type <pre><code>>>> [id(e) for e in grid] [66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744] >>> grid[0][0]=False >>> [id(e) for e in grid] [66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744, 66523744] >>> grid [[False], [False], [False], [False], [False], [False], [False], [False], [False], [False]] </code></pre> To get over it, you need to understand which are mutable types and refrain from duplicating it but instead create new multiple instances of the same mutable types So here as a list is a mutable type, you need to create multiple instances, possibly through list comprehension <pre><code>[[False]*N for _ in range(N)] </code></pre>
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