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How to parse the nature of Python source files

2025-01-18 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >

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This article is to share with you about how to analyze the nature of Python source files, the editor thinks it is very practical, so I share it with you to learn. I hope you can get something after reading this article.

For the learning of Python source files, I think we should start with the concept of Python. In fact, Python is not only an object-oriented, literal translation computer programming language, but also a powerful and comprehensive general language, and it is very easy for beginners to learn.

Let's start with a build script that compiles only the Python sample code. The tag is always the root tag of the build script. The tag declares the Python task used throughout the build script. At the bottom of the build script, you can define the compile target. Inside the target element are the tasks performed during the compile run. In particular, the py-compile task is responsible for compiling all Python code from the src directory.

This task recursively traverses all subdirectories and compiles all Python source files. Instead of hardcoding the src directory to the place of the call, the script defines an attribute called src.dir in the build script. Then, when you need to use this directory name, you can refer to it through ${src.dir}.

To run the build script, open it from Eclipse. Eclipse has built-in Ant build script editing and browsing capabilities. The Outline view shows the structure of the build script:

1: 2: 3: 4: 5: 6: 7: 8: 9: 10: 11: 12: 13:

In the Navigator view, select the build script, right-click, and select "Run Ant...". Select the compile target and click "Run". The output during the execution of the build script should be displayed in the Console view, indicating that the run was successful.

Next, you will add a new target to the build script to execute the Python script (see listing 2). In this case, you can execute the feedparser.py script with RSS URL as a parameter. As can be seen from the analysis of the above pydoc goals.

Line 7 declares the target name and indicates that it depends on the init and compile targets. This means that before running the pydoc target, Ant must ensure that the init and compile targets are already running, and if not, run them first.

The pydoc target on which the init target depends is defined on lines 3 through 5. The init target simply creates a directory where the PyDoc API document files are stored. As mentioned earlier, you want to define a property called pydoc.dir for the location where the generated document is saved.

Line 8 begins with the py-doc task. As mentioned earlier, you pass in the PYTHONPATH used in generating the pydoc. The destdir attribute tells the py-doc task where to output the generated HTML document. Lines 9 through 11 define which Python source files should be processed during document generation. A fileset is a common structure in Ant scripts that can be used to define a set of files to operate on.

This is a powerful feature that allows you to select the file you want to operate on through name patterns, Boolean logic, and file properties. A complete description of this is available in the Ant documentation. In this example, all files in the "src" directory are selected recursively.

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There is a standard unit testing framework in the Python source file (starting with Python 2.3). This is only an optional module in Python 2.2), which is very similar to the Java jUnit framework. The test case is structured in the same way as jUnit. Each class and module to be tested usually has its own test class. The test class contains test devices (fixture), which are initialized in the setUp function.

Each test is written as a separate test function in the test class. The unittest framework cycles back and forth between test functions, calling setUp, then testing functions, and then tearDown test functions. See the example in listing 4.

The above is how to analyze the nature of the Python source file, the editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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