CoCalc Logo Icon
DocsShareSupport News Sign UpSign In
Views: 100
Image: ubuntu2004
Embed | Download | Raw |
Kernel: Python 3 (ipykernel)
import random import networkx as nx from IPython.core.display import SVG import pyomo.environ as pyo from pysat.solvers import Solver from pysat.formula import CNF import py_svg_combinatorics as psc from ipywidgets import widgets, HBox from collections import Counter from pprint import pprint from random import randint import numpy as np from IPython.display import IFrame import IPython from copy import copy import os from pathlib import Path def print_solution(m): for v in m.component_data_objects(pyo.Var): if v.value and v.value > 0: print(str(v), v.value) nbname = '' try: nbname = __vsc_ipynb_file__ except: if 'COCALC_JUPYTER_FILENAME' in os.environ: nbname = os.environ['COCALC_JUPYTER_FILENAME'] title_ = Path(nbname).stem.replace('-', '_').title() IFrame(f'https://discopal.ispras.ru/index.php?title=Hardprob/{title_}&useskin=cleanmonobook', width=1280, height=300)
def visme(G, m=None): def norm_size(sz): return int(sz*100) pos = nx.get_node_attributes(G, "pos") if not pos: pos = nx.spring_layout(G) nx.set_node_attributes(G, pos, "pos") cut_edges = None v_colors = ['blue'] * len(G.nodes()) if m: p_colors_ = psc.get_hex_palette_for_n(m.k) cut_edges = [e for e in m.E if pyo.value(m.y[e])>0] for v in G.nodes(): for p in m.P: if pyo.value(m.vp[v, p]) > 0: v_colors[v] = p_colors_[p] nx.draw_networkx( G, pos, with_labels=True, edge_color="green", node_color=v_colors, node_size=300, style=':', width=0.4, font_size=6 ) if cut_edges: nx.draw_networkx_edges( G, pos, edgelist=cut_edges, edge_color="blue", node_size=200, width=0.7, )
# G = nx.fast_gnp_random_graph(10, 0.5) G = nx.random_lobster(12, 0.4, 0.4) for (u, v) in G.edges(): G.edges[u, v]['weight'] = np.random.rand() visme(G)
Image in a Jupyter notebook
def get_model(G, k): m = pyo.ConcreteModel() m.k = k m.P = list(range(k)) m.E = list(G.edges()) m.V = list(G.nodes()) m.W = dict([(e[:2], e[2]['weight']) for e in G.edges(data=True)]) m.m = len(m.E) m.n = len(m.V) bigM = 10000 eps = 0.1 # Номер разбиения m.vp = pyo.Var(m.V, m.P, domain=pyo.Binary) @m.Constraint(m.V) def каждая_вершина_в_ровно_одном_разбиении(m, v): return sum(m.vp[v, ...]) == 1 @m.Constraint(m.P) def в_каждом_разбиении_есть_вершина(m, p): return sum(m.vp[..., p]) >= 1 # соединяется ли ребро «uv» с партицией «p» m.uvp = pyo.Var(m.E, m.P, domain=pyo.Binary) @m.Constraint(m.V, m.E, m.P) def задаем_uvp(m, v_, u, v, p): if v == v_ or u == v_: return m.uvp[(u, v), p] >= m.vp[v_, p] return pyo.Constraint.Skip # 0-1 — на разрезе или нет. m.y = pyo.Var(m.E, domain=pyo.Binary) @m.Constraint(m.E) def ребро_на_разрезе_только_когда_вершины_в_двух_разбиениях(m, u, v): return m.y[(u,v)] == sum(m.uvp[(u, v), ...]) - 1 m.cut_weight = pyo.Objective(expr = sum(m.W[e] * m.y[e] for e in m.E), sense=pyo.minimize) return m m = get_model(G, 6) #m.E, m.V
solver = pyo.SolverFactory('cbc') solver.solve(m).write() #print_solution(m)
# ========================================================== # = Solver Results = # ========================================================== # ---------------------------------------------------------- # Problem Information # ---------------------------------------------------------- Problem: - Name: unknown Lower bound: 0.35442988 Upper bound: 0.35442988 Number of objectives: 1 Number of constraints: 287 Number of variables: 266 Number of binary variables: 266 Number of integer variables: 266 Number of nonzeros: 20 Sense: minimize # ---------------------------------------------------------- # Solver Information # ---------------------------------------------------------- Solver: - Status: ok User time: -1.0 System time: 0.47 Wallclock time: 0.7 Termination condition: optimal Termination message: Model was solved to optimality (subject to tolerances), and an optimal solution is available. Statistics: Branch and bound: Number of bounded subproblems: 0 Number of created subproblems: 0 Black box: Number of iterations: 419 Error rc: 0 Time: 3.753511428833008 # ---------------------------------------------------------- # Solution Information # ---------------------------------------------------------- Solution: - number of solutions: 0 number of solutions displayed: 0
visme(G, m)
Image in a Jupyter notebook