scamp_extensions.process package

Subpackage containing tools for modeling a compositional process, such as Markov chains and L-Systems.

Modules:

fibonacci([seed_values])	A simple fibonacci generator function
generators	Module containing useful generator functions that represent musical processes.
l_systems	Module containing the LSystem class, a simple implementation of a Lindenmayer system.
markov	Module containing the MarkovModel and MarkovIterator classes for analyzing and resynthesizing a sequence based on Markov analysis.

Public-Facing API (result of import *):

all_fibonacci_cycles(modulo[, return_pairs])	For a given modulo, get a list of all possible cycles using the fibonacci recurrence relation.
fibonacci([seed_values])	A simple fibonacci generator function
fibonacci_cycle(modulo[, seed, num_cycles, ...])	Gets the cycle of fibonacci (or related) numbers with the given modulo and pair of seed values.
non_repeating_shuffle(input_list[, ...])	Returns a generator that randomly selects items from the input list, avoiding repeat selections.
random_walk(start_value[, step, ...])	Returns a generator starting on start_value that randomly walks between clamp_min and clamp_max, using a step size of step, and turning around with probability turn_around_chance
LSystem(seed_string, production_rules[, ...])	Simple implementation of an LSystem.
MarkovIterator(markov_model, order[, ...])	Iterator that returns generated values from the given MarkovModel.
MarkovModel([data, max_order, cyclic])	A Markov analysis-synthesis tool that analyzes the given data, and can generate new data based on the same statistical patterns.