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Signal Processing Functions scripts

Trace expressions and comments in debug mode

This script acts like a stepping debugger to diagnose and fix your programs. It contains functions for log state and execution flow. ...
Python

Changing a closed over value in a cell

... way to actually change that value, so that functions which also close over that value (share a reference to the same cell) will see the change. ...
Python

Dictionary Mixin Framework

... .get() method but not any of the iter functions. The reason for implementing the full dictionary interface is to maximize substitutability. Given code that was designed to work with a dictionary, an object of your class (with the mixin) can be substituted for the dictionary.Some modules like shelve implement a ...
Python

Accepting Four Points in 2 space

Photographic document images are often rotated, if only slightly. This code mediates an input of a series of four points--assumed to be the corners of a rectangular document--in any order, as mouse clicks.Then it determines the orientation of the points and calculates a "quality" value, as an indication to the user ...
Python

ASTVisitor generator

... includes stubs for all of the various visitNODE functions that you might need in a visitor, along with comments in each function that list that node type's attributes. ...
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

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

Caching object creation

This script contains many recipes to memoize functions. Using this script you can cache object creation, i.e. __new__ and __init__ methods are called only when n.e. __newt;br >/ ...
Python

NumPy

... powerful N-dimensional array object - sophisticated (broadcasting) functions - basic linear algebra functions - basic Fourier transforms - sophisticated random number capabilities - tools for integrating Fortran code. Besides it's obvious scientific uses, NumPy ...
Python

Modular toolkit for data processing

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), ... trainable supervised and unsupervised algorithms or other data processing units (nodes) that can be combined into data processing flows. Given a sequence of input data, MDP ... complex algorithms as a sequence of simpler data processing steps in a natural way. Training can be ...
Python

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