dimod.reference.samplers.RandomSampler.sample¶

RandomSampler.sample(bqm, num_reads=10)[source]¶

Give random samples for a binary quadratic model.

Parameters:	bqm (`BinaryQuadraticModel`) – Binary quadratic model to be sampled from. num_reads (int, optional) – Number of reads.
Returns:	A dimod `Response` object.
Return type:	`Response`

Notes

For each variable in each sample, the value is chosen by a coin flip.

Examples

This example provides samples for a two-variable Ising model.

>>> import dimod
>>> sampler = dimod.RandomSampler()
>>> h = {0: -1, 1: -1}
>>> J = {(0, 1): -1}
>>> bqm = dimod.BinaryQuadraticModel(h, J, -0.5, dimod.SPIN)
>>> response = sampler.sample(bqm, num_reads=3)
>>> len(response)
3
>>> response.data_vectors['energy']        
array([ 0.5, -3.5,  0.5])