Metadata-Version: 1.1
Name: green
Version: 0.9.9.3
Summary: Green is a clean, colorful test runner for Python unit tests.  Compare it to nose or trial.
Home-page: https://github.com/CleanCut/green
Author: Nathan Stocks
Author-email: nathan.stocks@gmail.com
License: MIT
Download-URL: https://github.com/CleanCut/green/tarball/0.9.9.3
Description: Green
        =====
        
        Clean, colorful test runner for Python
        --------------------------------------
        
        Green is a clean, colorful test runner for Python unit tests.  Compare it to
        nose or trial.
        
        Green grew out of a desire to see pretty colors.  Really!  A big part of the
        whole the **Red/Green/Refactor** process in test-driven-development is
        _actually getting to see red and green output_.  Most python unit testing
        actually goes **Gray/Gray/Refactor** (at least on my terminal, which is gray
        text on black background).  That's a shame.  Even TV is in color these days.
        Why not terminal output?  Even worse, the default output for most test runners
        is cluttered, hard-to-read, redundant, and the dang statuses are not aligned
        vertically!  Green fixes all that.
        
        ### Features ###
        
        - Colored terminal output
        - Aligned status indicators
        - Test discovery
        - Flexible test target specification
        - No new objects to learn -- just use normal `unittest` classes.
        - HTML output
        - Four verbosity levels
        - Built-in, optional, integration with
          [coverage](http://nedbatchelder.com/code/coverage/)
        - Supports Python 2.7, 3.4+
        - Supports OS X, Linux, BSDs (and maybe Windows)
        
        ### Wish List ###
        
        - Supports Python 3.3, 3.2 (which may already work -- need to verify...)
        - Parallel test-running (multiprocessing)
        
        Basic Usage
        -----------
        
        To use Green to run existing Python unit tests, just run `greenX.Y` in the home
        directory of your project (Substitute your version of Python in for `X.Y`.  For
        example: `green2.7` for Python 2.7, `green3.4` for Python 3.4, etc.).
        
        By default, Green mimics the verbosity levels of vanilla unittest or nose,
        meaning that output is mostly just dots.  For Green we recommend adding more
        verbosity by using the `-v` or `-vv` options.
        
        To run Green's own internal unit tests (which are hopefully all passing):
        
            green3.4 -v green
        
        To see all examples of all the failures, errors, etc. that could occur:
        
            green3.4 -v green.examples
        
        
        Advanced Usage
        --------------
        
        Please see `green3.4 --help`
        
        
        Install
        -------
        
        Replace `pip3` with your version of pip if necessary.  You may need to prepend
        this command with `sudo` or run it as root if your normal user cannot write to
        the local Python package directory.
        
            pip3 install green
        
        
        Upgrade
        -------
        
            pip3 install --upgrade green
        
        Wait...what do I have installed?
        
            green3.4 --version
        
        
        Uninstall
        ---------
        
            pip3 uninstall green
        
Keywords: nose,nose2,trial,tox,green,test,tests,functional test,system test,unit test,unittest,color,tabular,clean,red,rednose
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Utilities
