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So we see that I've doubled the size of the vector but I've much more than doubled the number of calls.
所以我们看到我,把向量的大小翻倍了,但是我调用的次数,不仅仅是翻倍了。
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But I've been there enough that I get a, I have a sense of what it's like there.
但我去那儿的次数够多了，所以我很清楚那儿是什么样子的。
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Pardon? 17 million. Computers are fast, fortunately. Well, that's a lot of calls.
幸运的是电脑很快，好了，调用次数真是多。
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Do the following a bunch of times, but a finite number of times which might be useful.
按照下面重复若干次，有限次数就足够了，这很有用。
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The learner protests as he's being shocked more and more but the experimenter continues to request obedience.
随着被电击次数增多，学习者抗议了,但实验者继续要求他服从。
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I just took the tests, um, several times, not too many times, but
我参加了几次考试，次数也不是太多，不过
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Actually it's not 40, I think these are, 75 alright. So the answer is 75 and the number of calls is 1.7 million.
实际上不是4，我觉得，好了，所以答案是5,调用次数是1百70万次。
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Now this happens to be what we would call a linear process, because the number of times I go around the loop is directly related to the size of the argument. If I double 2 the argument, I'm going to double the number of times I go around the loop. If I increase it by five, 5 I'm going to increase by five the number of times I go around the loop.
这恰好是我们会成为,线性复杂度程序的一个例子,因为我要执行循环的次数是,和输入的参数的大小直接相关的,如果我将这个参数乘以,那么我就要将进行循环的次数也乘以2了，如果我把参数加上,那么循环的次数也要加上5了。
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So when I do the analysis, I want to think about what am I doing here, am I capturing all the pieces of it? Here, the two variables that matter are what's the length of the list, and how many times I'm going to search it?
这里，要关注的,两个变量是列表,的长度以及我要搜索的次数,这种情况下，这个算法赢了？
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It goes off after it's been hit a certain number of times.
在你玩了一定次数后，会有硬币吐出来。
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