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Therefore, for simple branching programs, the length of time, the complexity the code, is what we would call constant.
因此，对于简单的分支程序，运行的时间长度，算法的复杂度，也就是我们说的常数。
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And they're awfully simple because, all I can do now, is decide whether to execute some piece of code or another.
它们之所以太简单的原因是：,现在我能做的，就是,决定执行一块代码或者执行另外一块。
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So, one simple way to code intensity is the number of neurons firing; the more neurons the more intense.
影响反应强度的一个简单因素,就是产生神经冲动的神经元数量,神经元越多,反应强度越大
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You open what we call the "text editor," the specific one we used on Wednesday was called Nano, -- which is similar to Notepad or TextEdit -- totally simple, kind of dumbed down but in a useful way so that you can just focus on writing code and not learning some new interface.
你先打开那个“文本编辑器“,就是我们周三用过的叫做Nano的编辑器，这个跟写字板和记事本差不多-,非常简单的，只是通过一种有用的方法而进行精简了的,所以你们可以把注意力集中在编写代码上,而不需要学习一些新的界面操作。
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OK. So. Why did I do it? It's a simple example, I agree, but notice what I just did. It allowed me to highlight, is the code doing the right thing?
这是一个简单的例子，我同意，但是请注意我刚才是怎么做的,我通过它想要强调，代码是做了正确的？
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With simple branching, how long is it going to take to run a piece of code?
但是在简单分支程序中，执行一个程序,要多长时间呢？
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And I think this is best illustrated by giving you a simple little piece of code.
我认为给你看一段简单的代码,可以很好的说明这个问题。
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I will tell you that a good programmer, at least in my mind, may actually go back and modify the pseudo code as they realize they're missing things, but it's easier to do that when you're looking at a simple set of steps, than when you're in the middle of a pile of code.
至少我认为是这样的，如果他们发现遗漏了,一些步骤的话会,回过头去修改伪代码,但这当你面对一些大致的步骤时,这个过程就会比,面对一堆代码要简单的多。
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What that basically says is the following: in an interpreted language, you take what's called the source code, the thing you write, it may go through a simple checker but it basically goes to the interpreter, that thing inside the machine that's going to control the flow of going through each one of the instructions, and give you an output.
也就说，如果是解释语言的话：,你要写一些叫做，源码的东西，你写的东西会经过一个简单的过滤器,然后解释器会处理你的源码，解释器会产生一个,逐条读取你的源码的,控制流，然后返回一个输出结果。
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Remember last time, I said that there's different kinds of complexity in our code, and I suggested for simple branching programs, the amount of time it takes to run that program is, in essence, bounded by the number of instructions, because you only execute each instruction at most once.
但是这里有个很重要的点,记得上节课，我提过在我们的代码中，有不同种类的复杂度，而且我还说了对于简单的分支程序,运行这种程序需要的总体时间,大体上，是和指令的数目相关的,因为每个指令只会被执行最多一次。
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What we're really getting at is the idea of saying I want to have a way of grouping together information into units that make sense. So I can go back to one of those topics we had at the beginning, which is the idea of abstraction, that I can create one of those units as a simple entity, bury away the details and write really modular code.
组合成为有意义的单元,那么这就让我们回到,一开始讲的话题之一了,这就是抽象的概念,也就是我可以以一个简单的，实体的形式创建这样的一个单元，把具体实现隐藏然后写一些,真正模块化的代码,我们在以后的课程中。
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Remember last time, we wrote this simple piece of code to print out even or odd. If, you know, x, 1 it was in fact, even or odd. So let me show you what a flow chart for that would look like, because I want to make a comparison point here.
这就像这里有一些脚蹼一样,首先进行测试，然后把球这样放来让ANS加,然后回来继续测试，最终跳出循环然后打印答案。
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Basic idea, before I even look at the code, is pretty simple. If I've got a list that is sorted, in let's call it, just in increasing order, and I haven't said what's in the list, could be numbers, could be other things, for now, we're going to just assume they're integers.
我们可以说基本的思想是很简单的,如果我有一个排好序的数组，让我们认为这个数组是递增的吧，我并没说数组里元素是什么，可能是数字，也可能是其他的东西，现在我们假设是integer类型的数字吧，最简单的方式就是这么做了：
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Remember last time, we wrote this simple piece of code to print out even or odd. If, you know, x, it was in fact, even or odd. So let me show you what a flow chart for that would look like, because I want to make a comparison point here.
记得上节课我们写过的,那个显示奇数还是偶数的程序么，如果，你知道，x，实际上是奇数还是偶数,那么让我来为大家画个这个程序的流程图吧，因为我这里想为大家做个比较。
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