[Bug 458397] New: Review Request: python-paver - Python-based build/distribution/deployment scripting tool

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Summary: Review Request: python-paver - Python-based build/distribution/deployment scripting tool

https://bugzilla.redhat.com/show_bug.cgi?id=458397

           Summary: Review Request: python-paver - Python-based
                    build/distribution/deployment scripting tool
           Product: Fedora
           Version: rawhide
          Platform: All
        OS/Version: Linux
            Status: NEW
          Severity: medium
          Priority: medium
         Component: Package Review
        AssignedTo: nobody at fedoraproject.org
        ReportedBy: a.badger at gmail.com
         QAContact: extras-qa at fedoraproject.org
                CC: notting at redhat.com, fedora-package-review at redhat.com
   Estimated Hours: 0.0
    Classification: Fedora


Spec URL: http://toshio.fedorapeople.org/packages/python-paver.spec
SRPM URL:
http://toshio.fedorapeople.org/packages/python-paver-0.8.1-1.fc9.src.rpm
Description:
Paver is a Python-based build/distribution/deployment scripting tool along the
lines of Make or Rake. What makes Paver unique is its integration with commonly
used Python libraries. Common tasks that were easy before remain easy. More
importantly, dealing with your applications specific needs and requirements is
now much easier.

* Build files are just Python
* One file with one syntax, pavement.py, knows how to manage your project
* File operations are unbelievably easy, thanks to the built-in version of
  Jason Orendorff’s path.py.
* Need to do something that takes 5 lines of code? It’ll only take 5 lines of
  code..
* Completely encompasses distutils and setuptools so that you can customize
  behavior as you need to.
* Wraps Sphinx for generating documentation, and adds utilities that make it
  easier to incorporate fully tested sample code.
* Wraps Subversion for working with code that is checked out.
* Wraps virtualenv to allow you to trivially create a bootstrap script that
  gets a virtual environment up and running. This is a great way to install
  packages into a contained environment.
* Can use all of these other libraries, but requires none of them
* Easily transition from setup.py without making your users learn about or
  even install Paver! (See the Getting Started Guide for an example).

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