gsapi.GSStyles

gsapi.GSStyles.GSBaseStyle module

class gsapi.GSStyles.GSBaseStyle.GSBaseStyle

Base class for defining a style. Such class needs to provide following functions:

• generateStyle(self, PatternClasses)
• generatePattern(self, seed=None)
• getDistanceFromStyle(self, Pattern)
• getClosestPattern(self, Pattern, seed=None)
• getInterpolated(self, PatternA, PatternB, distanceFromA, seed=None)
• getInternalState(self)
• loadInternalState(self, internalStateDict)
• isBuilt(self)

generateStyle(PatternClasses)

Computes inner state of style based on list of patterns.

generatePattern(seed=None)

Generates a new random pattern using seed if not “None” (Ideally same seeds should lead to same patterns.)

getDistanceFromStyle(Pattern)

Returns a normalized value representing the “styliness” of a pattern 1 being farthest from style.

getClosestPattern(Pattern, seed=None)

Returns the closest pattern in this style.

getInterpolated(PatternA, PatternB, distanceFromA, seed=0)

Interpolates between two patterns given this style constraints.

getInternalState()

Returns a dict representing the current internal state.

setInternalState(internalStateDict)

Loads internal state from a given dict.

isBuilt()

Returns true if style hasbeen correctly build.

saveToJSON(filePath)

loadFromJSON(filePath)

saveToPickle(filePath)

loadFromPickle(filePath)

gsapi.GSStyles.GSDBStyle module

class gsapi.GSStyles.GSDBStyle.GSDBStyle(generatePatternOrdering='indexed')

Bases: gsapi.GSStyles.GSBaseStyle.GSBaseStyle

A database based style. It generates GSPatterns from existing patterns

Parameters:generatePatternOrdering – {‘indexed’, ‘increasing’, ‘random’}. Defines the generatePattern behaviour

generateStyle(PatternClasses)

generatePattern(seed=None)

getDistanceFromStyle(Pattern)

getClosestPattern(Pattern, seed=0)

getInterpolated(PatternA, PatternB, distanceFromA, seed=0)

getInternalState()

setInternalState(internalStateDict)

isBuilt()

gsapi.GSStyles.GSMarkovStyle module

class gsapi.GSStyles.GSMarkovStyle.GSMarkovStyle(order, numSteps, loopDuration)

Bases: gsapi.GSStyles.GSBaseStyle.GSBaseStyle

Computes a style based on markov chains.

Parameters:

• order – order used for markov computation
• numSteps – number of steps to consider (binarization of pattern)

order

order used for markov computation

numSteps

number of steps to consider (binarization of pattern)

generateStyle(PatternList)

Generates a style based on list of GSPatterns.

Parameters:PatternList – list of GSPatterns

buildStyle()

Builds transition table for a previously given list of GSPatterns.

generatePattern(seed=None)

Generates a new pattern.

Parameters:seed – seed used for random initialisation of pattern (value of None generates a new one)

formatPattern(p)

getLastEvents(pattern, step, num, stepSize)

getDistanceFromStyle(Pattern)

getClosestPattern(Pattern, seed=0)

getInterpolated(PatternA, PatternB, distanceFromA, seed=0)

getInternalState()

setInternalState(state)

isBuilt()