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Numpy Beginner's Guide (Update)

Numpy Beginner's Guide (Update)

By : Ivan Idris
2 (1)
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Numpy Beginner's Guide (Update)

Numpy Beginner's Guide (Update)

2 (1)
By: Ivan Idris

Overview of this book

This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.
Table of Contents (16 chapters)
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14
C. NumPy Functions' References
15
Index

Time for action – decorating tests

We will apply the @setastest decorator directly to test functions. Then we will apply the same decorator to a method to disable it. Also, we will skip one of the tests and fail another. First, install nose in case you don't have it yet.

  1. Install nose with setuptools:
    $ [sudo] easy_install nose
    

    Or pip:

    $ [sudo] pip install nose
    
  2. Apply one function as being a test and another as not being a test:
    @setastest(False)
    def test_false():
       pass
    
    @setastest(True)
    def test_true():
       pass
  3. Skip tests with the @skipif decorator. Let's use a condition that always leads to a test being skipped:
    @skipif(True)
    def test_skip():
       pass
  4. Add a test function that always passes. Then, decorate it with the @knownfailureif decorator so that the test always fails:
    @knownfailureif(True)
    def test_alwaysfail():
         pass
  5. Define some test classes with methods that normally should be executed by nose:
    class TestClass():
       def test_true2(self):
          pass
    
    class TestClass2(...

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