Introduction

Hello.

enumerate(sequence[, start=0])

Return an iterator that yields tuples of an index and an item of the

sequence. (And so on.)

The enumerate() function can be used for …

Standard

class sds.standard.Agent(active=False, hyp=None)

Represents an agent, contains only an activity and a hypothesis, most of the time if activity is falsy then the hypothesis can be undefined.

class sds.standard.Cluster(hyp, agents, size)

property agents

Alias for field number 1

property hyp

Alias for field number 0

property size

Alias for field number 2

sds.standard.DH_uniform(hypotheses, rng)

Uniformly random hypothesis generation

sds.standard.H_fixed(iterations)

Makes a function for halting after a fixed number of iterations

class sds.standard.Swarm(agent_count=None, swarm=None, AgentClass=<class 'sds.standard.Agent'>)

sds.standard.TM_uniform(microtests, rng)

Uniformly random microtest selection

sds.standard.T_boolean(TM)

Boolean testing

Variants

sds.variants.DN_gauss(mean, sigma, rng)

Add noise from a gaussian distribution to hypothesis transmission

sds.variants.DN_normal(rng)

Add noise from a normal gaussian distribution to hypothesis transmission

sds.variants.H_largest_cluster_threshold(swarm, threshold)

Makes a function for halting once the largest cluster activity is over a fixed threshold

sds.variants.H_threshold(swarm, threshold)

Makes a function for halting once the global activity is over a fixed threshold