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Just like code shouldn t be checked into a version control system without compiling, code shouldn t be checked in unless it has a comprehensive set of unit tests and those tests pass 6 Map tests to use cases, user stories, or features: Regardless of what requirement gathering techniques you use, map those requirements to a clearly defined set of tests 7 Enable continuous integration: As you ll learn in 9, continuous integration hinges on developers running the unit tests before the code is checked in In addition, all unit tests should be executed in a build server at least once a day (hourly seems to work well as a build interval) or after any code has been checked in 8 Don t overtest: Test enough to cover functionality Add new tests as defects appear.

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If you don t have a package manager, or would rather not use it, you can compile Python yourself. This may be the method of choice if you are on a UNIX box but you don t have root access (installation privileges). This method is very flexible, and enables you to install Python wherever you want, including in your own home directory. To compile and install Python, follow these steps: 1. Go to the download page (refer to steps 1 and 2 in the instructions for installing Python on a Windows system). 2. Follow the instructions for downloading the sources. 3. Download the file with the extension .tgz. Store it in a temporary location. Assuming that you want to install Python in your home directory, you may want to put it in a directory such as ~/python. Enter this directory (e.g., using cd ~/python).

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Use techniques such as equivalence partitioning and boundary value analysis to minimize the number of tests needed Grouping, categorizing, and organizing your tests can ensure that you don t write redundant tests and that the tests cover the range of features and scenarios for a given component..

Listing 6-13. The Populate Table Script for Object Table WORKER_OT, worker_ot.ins 01 02 03 04 05 06 07 08 09 10 11 rem rem rem rem worker_ot.ins by Donald J. Bales on 12/15/2006 Seed the Worker table with the top 100 names 100 last x 100 first x 26 middle = 260,000 entries

4. Unpack the archive with the command tar -xzvf Python-2.4.tgz (where 2.4 is the version number of the downloaded source code). If your version of tar doesn t support the z option, you may want to uncompress the archive with gunzip first, and then use tar -xvf afterward. If there is something wrong with the archive, try downloading it again. Sometimes errors occur during download. 5. Enter the unpacked directory: $ cd Python-2.4 Now you should be able to execute the following commands: ./configure --prefix=$(pwd) make make install You should end up with an executable file called python in the current directory. (If this doesn t work, please consult the README file included in the distribution.) Put the current directory in your PATH environment variable, and you re ready to rock. To find out about the other configuration directives, execute ./configure --help

set serveroutput on size 1000000; declare -- This is the number of seconds since midnight -- I'll use it to profile my code's performance.

The best practices mentioned in the preceding section are possible in practice thanks to the tools created by the open source community. In this chapter we will cover some of the tools, but before we jump into the code, it is important to understand the different categories of testing tools available: Test Frameworks: Frameworks such as JUnit and TestNG are inspired by the xUnit family of unit/regression testing frameworks, which provide basic capabilities for creating, running, and reporting the results of tests. In-Container Testing Tools: These tools enable you to test the functionality of containerdependent components, usually making them appear as if they are simple Java objects. Web Testing Tools: These tools usually extend an existing test framework to enable tests based on the HTTP protocol and are a subset of in-container testing tools.

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