3.4. Make Your Code Resilient

You are probably eager to get going on making our sample application do more—so am I! But it is important to first make sure the code we've written so far works as flawlessly as it possibly can. That's why I'm going to take what might seem like a digression.

You've probably heard the expression garbage in, garbage out (GIGO). Maybe you've even uttered this phrase from time to time, or heard it over the phone from support staff; it's supposed to "explain" some nonsensical result (garbage out) by blaming faulty input (garbage in).

But is GIGO an inevitable state of affairs? Most programmers are incorrigible optimists when it comes to thinking about how their programs will be used. The assumption is tidy in, tidy out. Nobody wants to plan for inputs they consider to be "abnormal."

To avoid unanticipated digital squalor, we have to run test cases. To run good test cases means dreaming up various combinations of input data that we hope will break the program. Then we note the expected results...run the program...compare the output...fix the program...rerun the tests. Yep, that's a lot of bookkeeping that I would certainly prefer to avoid.

Hmm, lots of tedious executions of code with different inputs; this sounds like a good opportunity to write some utilities, doesn't it? Let's create one ourselves and see if we can make this testing stuff more fun—or at least automate the tiresome bits.

3.4.1. A Results-Checking Utility

First, I'd like to create ...

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