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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Toc

Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start FREE CHAPTER 2. Beginning with NumPy Fundamentals 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Nose test decorators

A nose is an organ above the mouth that is used by humans and animals to breathe and smell. It is also a Python framework that makes (unit) testing easier. Nose helps you organize tests. According to the nose documentation:

"Any python source file, directory or package that matches the testMatch regular expression (by default: (?:^|[b_.-])[Tt]est) will be collected as a test."

Nose makes extensive use of decorators. Python decorators are annotations that indicate something about a method or a function (see http://thecodeship.com/patterns/guide-to-python-function-decorators/). The numpy.testing module has a number of decorators. The following table shows the different decorators in the numpy.testing module:

Decorator

Description

numpy.testing.decorators.deprecated

This function filters deprecation warnings when running tests

numpy.testing.decorators.knownfailureif

This function raises KnownFailureTest exception based on a condition

numpy.testing.decorators...

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