Documentation
¶
Overview ¶
Package calculate provides convenient functions to help perform various repetitive calculations. It is meant to be used by the top level package inside compositional algos (ie. Algo1.)
Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func LinearScale ¶
LinearScale (value - r.Min) / (r.Max - r.Min) * (t.Max - t.Min) + t.Min.
func SineGeneration ¶
func SineGeneration(f *audio.Format, opts SineOptions) audio.PCMBuffer
SineGeneration generates a sine wave according to the parameters provided. It returns an audio.PCMBuffer loaded with the generated sine wave as 32bit floating point slice []F32. The math package used to calculate the sine wave is github.com/chewxy/math32. If f is nil it returns an empty audio.PCMbuffer{}.
Types ¶
type MinMax ¶
type MinMax struct {
// Min is the minimum value found in a network analysis.
Min float64
// Max is the maximum value found in a network analysis.
Max float64
}
MinMax is a structure that holds the minimum and maximum of something. It is used to hold the min/max range of the various calculations done to graphs as it is needed when we need to scale things (see calculate.LinearScale().)
type NetworkAnalysis ¶
type NetworkAnalysis struct {
// NodeValue is a map holding all maps that network analysis ran against.
NodeValue map[NetworkOption]map[int64]float64
// MM is min/max values coming from network analysis of the graph.
MM map[NetworkOption]MinMax
// contains filtered or unexported fields
}
NetworkAnalysis holds all data to run a network analysis against a graph.
func GraphNetwork ¶
func GraphNetwork(g *simple.WeightedUndirectedGraph, opts ...NetworkOption) *NetworkAnalysis
GraphNetwork runs the provided network analysis opts, against the graph g. If no options are provided all available analysis will run.
type NetworkOption ¶
type NetworkOption int
NetworkOption is a custom type around the various network calculations we need to perform.
const ( // Betweenness centrality is a measure of centrality in a graph based on shortest paths. Betweenness NetworkOption = iota // BetweennessWeighted centrality is a measure of centrality in a graph based on shortest paths. BetweennessWeighted // Closeness is a measure of centrality in a network, calculated as the reciprocal of the sum of the length of the shortest paths between the node and all other nodes in the graph. Closeness // Farness is the opposite of Closeness. Farness // Harmonic Closeness. Harmonic // Residual Closeness. Residual )
type SineOptions ¶
type SineOptions struct {
// Freq is the frequency of the sine wave.
Freq float32
// Amp is the amplitude of the sine wave.
Amp float32
// A, D, R represents the attack, decay, release times in milliseconds.
A, D, R float64
}
SineOptions hold the frequency, amplitude, and attack, decay, release information.
Source Files