votesim.benchmarks.simple

Simple benchmarks based on N-dim voter models

Contents

• votesim.benchmarks.simple

  • Function Summary

  • Module Functions

Function Summary

simple3way()
simple5dim()	SimpleNd benchmark #1
simple_dummy()	Dummy benchmark for testing purposes.
simple_model(name, methods[, seed, …])	Simple Election model

Module Functions

simple3way

votesim.benchmarks.simple.simple3way()

simple5dim

votesim.benchmarks.simple.simple5dim()

SimpleNd benchmark #1

• Spatial model

• Normal voter preference distribution

• 1-5 spatial preference dimensions

• 2-8 candidates within 1.5 std deviations of voter preferences

• 2-8 candidates within 3.0 std deviations of voter preferences

• 2 voter strategies.

#1, 1-5 dimensions, (2-8) candidates x 2’

simple_dummy

votesim.benchmarks.simple.simple_dummy()

Dummy benchmark for testing purposes. Runs a tiny number of cases.

simple_model

votesim.benchmarks.simple.simple_model(name, methods, seed=0, numvoters=100, cnum=3, trialnum=1, ndim=1, strategy='candidate', stol=1)

Simple Election model