graph_generators

graph_generators

TVBO graph generators — pure-YAML procedures, one generic engine.

Each curated GraphGenerator under tvbo/database/graph_generators/ is defined entirely by its symbolic procedure: block. The generic engine (:mod:tvbo.graph_generators.engine) interprets that block in numpy at Network load time — there are no per-generator Python materialisers (the old builtins.py is gone; see dev/GenericProcedureEngine.md).

The helpers below are thin convenience wrappers over the engine (they hold no generation algorithm) for scripts and notebooks that want a matrix directly.

Functions

Name	Description
random_reservoir	Materialise a RandomReservoir adjacency via the generic engine.
weight_shuffle	Materialise a WeightShuffle null-model adjacency via the generic engine.

random_reservoir

graph_generators.random_reservoir(
    n,
    sparsity=0.1,
    spectral_radius=0.95,
    weight_distribution=None,
    seed=None,
)

Materialise a RandomReservoir adjacency via the generic engine.

weight_shuffle

graph_generators.weight_shuffle(source, preserve='binary_mask', seed=None)

Materialise a WeightShuffle null-model adjacency via the generic engine.