flow op• Data kinds: matrix → table
• Call: import fullseye as fs; fs.ledger.graph_physarum_path(lengths, source=0, sink=None, dt=0.1, max_iters=5000, tol=1e-06, frac=0.5) (implementation को सीधे call करना हो तो import physarum_search; physarum_search.graph_physarum_path(lengths, source=0, sink=None, dt=0.1, max_iters=5000, tol=1e-06, frac=0.5), registry से लेना हो तो opsgraph.get("graph_physarum_path"))
weighted graph पर slime mould की tube dynamics (Tero et al. 2010) से shortest path।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
lengths is a symmetric (n, n) matrix of tube lengths (0 = no tube, diagonal 0). A unit flow is pushed from source to sink (default n - 1) through tubes of conductance D_e; the pressures solve the weighted Laplacian (Kirchhoff), the flow in a tube is Q_e = D_e (p_u - p_v) / L_e, and each tube adapts dD_e/dt = |Q_e| - D_e (explicit Euler, step dt). Bonifaci, Mehlhorn and Varma (2012) prove that with a unique shortest path the conductances converge to its indicator: D_e -> 1 on it, 0 off it. The path is read by following, from the source, the tube that carries the most flow out of each node (a potential flow has no cycle); it must be at least frac of the thickest tube all along, else the run is refused as not converged.
Returns conductance and flow ((n, n) matrices, flow antisymmetric), path (node indices source → sink), path_length (sum of the tube lengths along it), flow_length = sum |Q_e| L_e (the length of the unit flow; it is >= path_length for every unit flow and equal only when all flow rides shortest paths), iters, converged (max |dD| fell below tol), history (max |dD| per iteration).
Raises ValueError: matrix not square / symmetric / finite / non-negative, self-loops; bad node indices or source == sink; sink unreachable; dt outside (0, 1]; no path survived the threshold (not converged).
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_physarum_maze — py -3.11 examples/poc_physarum_maze.py
table को input के रूप में लेते हैं)graph_edge_consensus · graph_core_persistence · tree_morphometry · tree_sholl · tree_run_length
flow)physarum_route · graph_physarum_transport · physarum_transport_image
*Provenance: physarum_search.py — GRAPH operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.