swarmflow op• Data kinds: signal × scalar × scalar → table
• Call: import fullseye as fs; fs.ledger.ritter_dam_break(x, t: 'float', h0: 'float', g: 'float' = 9.81, particle_mass=None) -> 'dict' (to call the implementation directly, import swarmflow; swarmflow.ritter_dam_break(x, t: 'float', h0: 'float', g: 'float' = 9.81, particle_mass=None) -> 'dict'; from the registry, opsdrive.get("ritter_dam_break"))
Ritter's dam-break solution (shallow-water equations, dry bed, dam at x = 0, water at x < 0).
> The detailed description below is the original text — the summary and the headings are translated.
c₀ = √(g h₀)。x ≤ −c₀ t: h = h₀、u = 0 / −c₀ t < x < 2c₀ t: h = (2c₀ − x/t)²/(9g)、u = (2/3)(x/t + c₀) / x ≥ 2c₀ t: h = 0。
先端の近くは h ∝ (x_f − x)² で水がほとんど無い。先端から δ までの水の量は ∫₀^δ (s/t)²/(9g) ds = δ³/(27 g t²)(導出)。粒子 1 個の量 m(1 次元の SPH なら h₀Δx)を与えると、最も前の粒子の居場所(先端から量 m/2 の所) x_f − (27 g t² m/2)^{1/3} を lead_particle に返す —— 粒子法の先端は Ritter の先端より必ず遅れて見え、その遅れはこの式で読める(粒子を細かくすると m^{1/3} でしか縮まない)。
Returns:
dict: h・u(x と同じ形)、front = 2c₀ t、rarefaction_head = −c₀ t、c0、lead_particle(m を与えたとき)。
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_swarm_obstacle_from_flow — py -3.11 examples/poc_swarm_obstacle_from_flow.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
swarmflow)sph_kernel · sph_density_pressure · swarm_simulate · swarm_render_overhead · swarm_field_from_tracks · swarm_field_from_piv · potential_flow_cylinder · velocity_deficit_map
*Provenance: swarmflow.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.