8.1. pyafv

PyAFV - A Python implementation of the active finite Voronoi (AFV) model in 2D.

Classes

PhysicalParams([r, A0, P0, KA, KP, Lambda, ...])	Physical parameters for the active finite Voronoi (AFV) model.
FiniteVoronoiSimulator(pts, phys[, backend])	Simulator for the active finite Voronoi (AFV) model.
ParallelFiniteVoronoiSimulator(pts, phys[, ...])	Python multiprocessing domain-decomposed simulator for the AFV model.

Functions

visualize_2d(pts, diag, r[, ax, selected])	Visualize a 2D snapshot using the diagnostic dictionary diag generated by pyafv.FiniteVoronoiSimulator.build().
visualize_2d_parallel(pts, diag, r[, ax, ...])	Visualize a 2D snapshot from pyafv.ParallelFiniteVoronoiSimulator.build().
target_delta(params, target_force)	Given the physical parameters and a target detachment force, compute the corresponding delta.

Subpackages

calibrate

Subpackage for calibrating the detachment forces against the deformable polygon (DP) model.

Experimental APIs (use with caution)

tile_pbc(pts, L[, r])	Periodic tiling of pts (N,2), with bookkeeping.
rebuild_connection_matrix(N, connect)	Build a symmetric sparse adjacency matrix from a cell-cell edge list.
select_daughter_cluster(N, connect)	Randomly pick one connected component ("daughter cluster") from the connectivity graph.
get_cluster_sizes(N, connect)	Compute the sizes of all connected components in the connectivity graph.
DomainDecomposition(domain_id, grid_ix, ...)	Point-only data for one spatial domain plus its halo.
decompose_points(points[, grid_shape, ...])	Decompose points into owned grid domains plus halo/local points.