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We expect you to know this information.
Submit your code through the autograder. The autograder pulls the latest code from your git repository (be sure to push your changes to your repository!), compiles/builds it, runs some tests on it, and reports a result to you. The result is a thumbs-up/thumbs-down (pass/fail) for each test. The specific tests and specific observed behavior under each test are secret. Autograder limits. Each group may submit to the autograder at most once per day (calendar date / resets at midnight). In addition, for each project you have three bonus submissions that you may use at any time. Occasionally we grant additional bonus submissions. In particular, the autograder and tests are undergoing continuous enhancement. We will grant additional bonus submission if there is any problem with the autograder: please bear with us.
We all know that there are various fragments of code available on the web that are relevant to the assignments. You are not prohibited from looking at material on the web. We believe that we have provided you with enough to start with that it will not benefit you to import source code from anywhere else. The point of the lab is to learn, and we want to make it easy for you to learn!
When you hand in the lab, we expect that your code is your own. If you incorporate source code from some external source, you must add a comment indicating the imported code and the source of that code. You must note all sources of imported code in your submitted README file. You should be able to explain any part of your code in detail, and why you chose to do it that way and not some other way. If you encounter code from some external source that diminishes your opportunity to learn by doing the lab, please inform us (we may not be aware of it).
Academic dishonesty. Be sure that you are familiar with the policy on collaboration and other policies. In particular, sharing of code among groups is not allowable. Do not obtain code from previous semesters. Take care to acknowledge any sources of code or assistance in your README.
About Unix. To do the labs you will need a Unix development environment. If you are a CompSci or Engineering major then you have access to Unix systems in those departments (e.g., login.cs.duke.edu). We can create term accounts to get access to Unix systems in the CompSci department if you need it. Duke also runs a virtual machine service that can give you a private Unix system for your use. You are welcome to use your own machine if it provides a suitable Unix development environment. Apple provides a good environment for Macs, and there is software that purports to provide a usable Unix environment over Windows (but be warned that may be more trouble than it's worth).
If you are using Mac OSX. Go download and install Xcode from developer.apple.com.
Note also that the gdb debugger has been replaced with lldb in OSX.
If you are using Windows. You need a Unix development environment, and Windows does not provide one (see above). But you can create an Ubuntu virtual machine using VirtualBox.
Once you have a command-line shell on a suitable system. You can compile C code with the gcc compiler, and/or build programs with the make utility. You can use the man command to learn about any C builtin library API and/or system call API or command. E.g., try man malloc or man strcpy.