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The point of this exception class is to be able to create an error class that automatically combines keyword arguments given to the exception instance

Unofficial Python API for retrieving data from Delicious.com. This module provides the following features plus some more: * retrieving a URL's full public bookmarking history including * users who bookmarked the URL including tags used for such bookmarks and the creation time of the bookmark (up to YYYY-MM-DD granularity) * top tags (up to a maximum of 10) including tag count * title as stored on Delicious.com * total number of bookmarks/users for this URL at Delicious.com * retrieving a user's full bookmark collection, including any private bookmarks if you know the corresponding password * retrieving a user's full public tagging vocabulary, i.e. tags and tag counts * retrieving a user's network information (network members and network fans) * HTTP proxy support * updated to support Delicious.com "version 2" (mini-relaunch as of August 2008)

py-demjson provides classes and functions for encoding or decoding data represented in the language-neutral JSON format (which is often used as a simpler substitute for XML in Ajax web applications). This implementation tries to be as compliant to the JSON specification (RFC 4627) as possible, while still providing many optional extensions to allow less restrictive JavaScript syntax. It includes complete Unicode support, including UTF-32, BOM, and surrogate pair processing. It can also support JavaScript's NaN and Infinity numeric types as well as it's 'undefined' type. It also includes a lint-like JSON syntax validator which tests JSON text for strict compliance to the standard.

The dexml module takes the obvious mapping between XML tags and Python objects and lets you capture that as cleanly as possible. Loosely inspired by Django's ORM, you write simple class definitions to define the expected structure of your XML document.

This is a Python module for making simple Text/Console-mode user interfaces.

Paver is a Python-based software project scripting tool along the lines of Make or Rake. It is not designed to handle the dependency tracking requirements of, for example, a C program. It is designed to help out with all of your other repetitive tasks (run documentation generators, moving files about, downloading things), all with the convenience of Python's syntax and massive library of code.

RQ is a simple task queue for queuing and processing jobs. django-rq-dashboard is a web frontend to monitor your RQ queues, jobs and workers in realtime from the Django admin.

This package provides semi-portable access to hardware provided atomic memory operations. These might allow you to write code: - That does more interesting things in signal handlers - Makes more effective use of multiprocessors by allowing you to write clever lock-free code. Note that such code is very difficult to get right, and will unavoidably be less portable than lock-based code. It is also not always faster than lock-based code. But it may occasionally be a large performance win - To experiment with new and much better thread programming paradigms, etc. For details and licensing restrictions, please see the documentation.

The binary I/O stream class library presents a platform-independent way to access binary data streams in C++. The library is hardware independent in the form that it transparently converts between the different forms of machine-internal binary data representation. It further employs no special I/O protocol and can be used on arbitrary binary data sources.

This Django application provides MongoEngine support for Tastypie.