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Programming Ruby scripts

Loop over and descend into sequences

This is a function to iterate over a container and its elements that checks for recursive traps. The condition for descending into elements is highly configurable (a list of type() results, or a callable). ...
Python

Loose Coupling

The "broadcaster" and "broker" modules enable loose coupling between objects in a running application. ...
Python

Maintenance free Signals implementation

This is a signals implementation for python. It is similar to the pydispatch module. This implementation enables you to create Signals as members of classes, as globals, or as locals. You may connect any number of functions or class methods to any signal. Connections manage themselves with the weakref module. Signals ...
Python

Manipulating infinite lists

This script contains some useful functions which work on infinite lists, including generalized versions of map, filter, zip on gLists. ...
Python

Matrix vector multiplication

Using 'reduce' and 'map', this code shows how a matrix vector multiplication can be reduced to a single loop. ...
Python

Memento Closure

The memento pattern is great for transaction-like processing. This script adds transactional semantics to methods. Methods decorated with @transactional will rollback to entry state upon exceptions. ...
Python

Memento design pattern in python

Memento design pattern in python script allows you to cache instances based on what arguments are passed to them. ...
Python

Memoize Decorator with Timeout

This simple decorator is different to other memoize decorators in that it will only cache results for a period of time. It also provides a simple method of cleaning the cache of old entries via the .collect method. This will help prevent excessive or needless memory consumption. ...
Python

Memory usage

Memory usage script provides a number of functions to get the memory usage of a Python application on Linux. ...
Python

Merge sorted sequences

The usual approach to merging is to loop through both sequences taking the smallest from each until they are both exhausted. Python's "timsort" function detects order in underlying sequences and will run a C speed merge on the data. So, all that is involved is concatenating the sequences and running a ...
Python

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