# dimod.reference.samplers.identity_sampler.IdentitySampler.sample¶

IdentitySampler.sample(bqm, *args, **kwargs)[source]

Return exactly the provided initial states.

Parameters
• bqm (BinaryQuadraticModel) – The binary quadratic model to be sampled.

• num_reads (int, optional, default=len(initial_states) or 1) – Number of reads. If num_reads is not explicitly given, it is selected to match the number of initial states given. If no initial states are given, it defaults to 1.

• initial_states (samples-like, optional, default=None) – One or more samples, each defining an initial state for all the problem variables. Initial states are given one per read, but if fewer than num_reads initial states are defined, additional values are generated as specified by initial_states_generator. See func:.as_samples for a description of “samples-like”.

• initial_states_generator ({'none', 'tile', 'random'}, optional, default='random') –

Defines the expansion of initial_states if fewer than num_reads are specified:

• ”none”:

If the number of initial states specified is smaller than num_reads, raises ValueError.

• ”tile”:

Reuses the specified initial states if fewer than num_reads or truncates if greater.

• ”random”:

Expands the specified initial states with randomly generated states if fewer than num_reads or truncates if greater.

• seed (int (32-bit unsigned integer), optional) – Seed to use for the PRNG. Specifying a particular seed with a constant set of parameters produces identical results. If not provided, a random seed is chosen.

Returns

The initial states as provided, generated or augmented.

Return type

SampleSet