Free seducing moms software for linux

fortune-mod-southpark project consists of a fortune file with quotes from South Park.
South Park Fortunes is a package containing various quotes from "South Park: Bigger, Longer, and Uncut" in the UNIX fortune file format.
Examples:
Rub my nipples as I torture this little piggy!
No dude, Id be scared too, youre mom is a fucking bitch.
Dont call my mom a bitch, you fat fuck!
Dont call me fat you buttfucking son of a bitch.
Should we blame the government?
Or blame society?
Or should we blame the images on TV?
NO! Blame Canada!
Enhancements:
- Fixed typos, nothing noteworthy. Released for the sake of the English language
- probably final release

JORAM stands for Java Open Reliable Asynchronous Messaging and its an Open Source JMS provider. It fully implements JMS 1.0.2b specifications.
JORAM incorporates a 100% pure Java implementation of JMS (Java Message Service API released by Sun Microsystem, Inc.).
It provides access to a MOM (Message Oriented Middleware), built on top of the ScalAgent agents based distributed platform.
JORAM is an open source software released under the LGPL license
Main features:
- Unified interfaces for the Point-to-Point (PTP) and Publish/Subscribe (Pub/Sub) messaging models
- AND still the semantically specific PTP and Pub/Sub interfaces
- Full backward compatibility with JMS 1.0.2b compliant applications
- Local, TCP and SOAP (HTTP/XML) client-server communication protocols
- Message persistence and guarantee of delivery
- Hierarchical topics
- Message selection
- Message prioritization
- A JCA 1.5 Resource Adapter
- A persistent, reliable and distributed JNDI server
- A configurable dead message queue
- Load balancing through clustered topics and queues
- Monitoring methods
- A bridge feature allowing to link JORAM to any JMS compliant messaging platform
- Client libraries allowing J2ME applications to access the JORAM platform in a JMS 1.1 "way"
- A graphical administration and monitoring tool
- High Availability provides the active replication of Joram servers and underlying agent servers, as well as replicated JORAM clients. It transparently handles network handover and server failover. This version currently relies on the use of JGroups.
- Dynamic Configuration,provide facilities to remotely add and remove Joram servers dynamically through the Administration API of JORAM. This great feature, combined with updated JMX implementation, initiates a new set of management facilities in JORAM

multitask allows Python programs to use generators (aka coroutines) to perform cooperative multitasking and asynchronous I/O. Applications written using multitask consist of a set of cooperating tasks that yield to a shared task manager whenever they perform a (potentially) blocking operation, such as I/O on a socket or getting data from a queue.

The task manager temporarily suspends the task (allowing other tasks to run in the meantime) and then restarts it when the blocking operation is complete. Such an approach is suitable for applications that would otherwise have to use select() and/or multiple threads to achieve concurrency.

This project is free software, distributed under the MIT license.

Examples:

As a very simple example, heres how one could use multitask to allow two unrelated tasks to run concurrently:

>>> def printer(message):
... while True:
... print message
... yield
...
>>> multitask.add(printer(hello))
>>> multitask.add(printer(goodbye))
>>> multitask.run()
hello
goodbye
hello
goodbye
hello
goodbye
[and so on ...]

For a more useful example, heres how one could implement a multitasking server that can handle multiple concurrent client connections:

def listener(sock):
while True:
conn, address = (yield multitask.accept(sock))
multitask.add(client_handler(conn))

def client_handler(sock):
while True:
request = (yield multitask.recv(sock, 1024))
if not request:
break
response = handle_request(request)
yield multitask.send(sock, response)

multitask.add(listener(sock))
multitask.run()

The functions and classes in the multitask module allow tasks to yield for I/O operations on sockets and file descriptors, adding/removing data to/from queues, or sleeping for a specified interval. When yielding, a task can also specify a timeout. If the operation for which the task yielded has not completed after the given number of seconds, the task is restarted, and a Timeout exception is raised at the point of yielding.

Tasks can also yield other tasks, which allows for composition of tasks and reuse of existing multitasking code. A child task runs until it either completes or raises an exception, and its output or exception is propagated to its parent. For example:

>>> def parent():
... try:
... print good child says: %s % (yield child())
... print bad child says: %s % (yield child(bad=True))
... except Exception, e:
... print caught exception: %s % e
...
>>> def child(bad=False):
... if bad:
... raise RuntimeError(oops!)
... yield Hi, Mom!
...
>>> multitask.add(parent())
>>> multitask.run()
good child says: Hi, Mom!
caught exception: oops!