sampler

Main classes

Sampler	Abstract class for samplers
Samples	The samples generated by the sampler.

Exact samplers

ExactSampler(state, nsamples[, reweight, symm])	Generate samples directly from exact probability
RandomSampler(state, nsamples)	Generate random samples with equal probability for all possible spin configurations.

Metropolis samplers

Metropolis(state, nsamples[, reweight, ...])	Abstract class for metropolis samplers.
LocalFlip(state, nsamples[, reweight, ...])	Generate Monte Carlo samples by locally flipping spins.
NeighborExchange(state, nsamples[, ...])	Generate Monte Carlo samples by exchanging neighbor spins or fermions.
ParticleHop(state, nsamples[, reweight, ...])	Generate Monte Carlo samples by hopping random particles to neighbor sites.
SiteExchange(state, nsamples[, reweight, ...])	Generate Monte Carlo samples by exchanging the spinful fermions on neighbor sites.
MixSampler(samplers[, reweight, ...])	A mixture of several metropolis samplers.