dimod.generators.uniform

uniform(graph: int | Tuple[Collection[Hashable], Collection[Tuple[Hashable, Hashable]]] | Collection[Tuple[Hashable, Hashable]] | Graph, vartype: Vartype | str | frozenset, low: float = 0, high: float = 1, cls: None = None, seed: int | None = None) → BinaryQuadraticModel

Generate a binary quadratic model with random biases and offset.

Biases and offset are drawn uniformly from a specified distribution range.

Parameters:

• graph – Graph to build the binary quadratic model (BQM) on. Either an integer n, interpreted as a complete graph of size n, a nodes/edges pair, a list of edges or a NetworkX graph.

• vartype –

  Variable type for the BQM. Accepted input values:

  • SPIN, 'SPIN', {-1, 1}

  • BINARY, 'BINARY', {0, 1}

• low – Low end of the range for the random biases.

• high – High end of the range for the random biases.

• cls – Deprecated. Does nothing.

• seed – Random seed.

Returns:

A binary quadratic model.

Deprecated since version 0.10.13: The cls keyword argument will be removed in 0.12.0. It currently does nothing.