def _generate_graph(self, Ws, ws, labels, bounds, binary, S, Ts, LOSS):
"""Generate an arc-flow graph."""
from pyvpsolver import MVP, AFG
m = len(ws)
ndims = len(Ws[0])
if bounds is not None:
b = bounds
else:
maxW = [max(Wi[d] for Wi in Ws) for d in range(ndims)]
b = [None] * m
for i in range(m):
minw = [min(wi[d] for wi in ws[i]) for d in range(ndims)]
b[i] = min(maxW[d] // minw[d] for d in range(ndims)
if minw[d] != 0)
Cs = [1] * len(Ws)
Qs = [-1] * len(Ws)
instance = MVP(Ws, Cs, Qs, ws, b, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
vlbl = {}
assert Ts is None or len(Ts) == len(graph.Ts)
for u in graph.V:
if u == graph.S:
vlbl[u] = S
elif u in graph.Ts:
vlbl[u] = Ts[graph.Ts.index(u)]
else:
vlbl[u] = str(u)
graph.relabel(lambda u: vlbl.get(u), lambda lbl: labels[lbl]
if lbl != graph.LOSS else LOSS)
return graph
def main():
"""Examples: how to use VBP, AFG, MPS, LP and VPSolver"""
# Create instanceA:
instanceA = VBP([5180], [1120, 1250, 520, 1066, 1000, 1150],
[9, 5, 91, 18, 11, 64], verbose=False)
# Create instanceB from a .vbp file
instanceB = VBP.from_file("instance.vbp", verbose=False)
# Create an arc-flow graph for instanceA
afg = AFG(instanceA, verbose=False)
# Create .mps and .lp models for instanceA
mps_model = MPS(afg, verbose=False)
lp_model = LP(afg, verbose=False)
# Draw the arc-flow graph for instanceA (requires pygraphviz)
try:
afg.graph().draw("tmp/graph.svg")
except Exception as e:
print repr(e)
# Solve instanceA using bin/vpsolver (requires Gurobi)
try:
out, sol = VPSolver.vpsolver(instanceA, verbose=True)
except Exception as e:
print "Failed to call vpsolver"
print repr(e)
# Solve instanceA using any vpsolver script (i.e., any MIP solver):
# The scripts accept models with and without the underlying graphs.
# However, the graphs are required to extract the solution.
out, sol = VPSolver.script("vpsolver_glpk.sh", lp_model, afg, verbose=True)
try:
out, sol = VPSolver.script(
"vpsolver_gurobi.sh", mps_model, verbose=True
)
except Exception as e:
print repr(e)
# Solve an instance directly without creating AFG, MPS or LP objects:
out, sol = VPSolver.script("vpsolver_glpk.sh", instanceB, verbose=True)
# Print the solution:
obj, patterns = sol
print "Objective:", obj
print "Solution:", patterns
# Pretty-print the solution:
vbpsolver.print_solution(obj, patterns)
assert obj == 21 # check the solution objective value
def solve_worker(app_name, method, form, args, output=sys.stdout):
"""Worker for solving the problem in a separate process."""
VPSolver.PLIST = []
def signal_handler(sig, frame):
"""Signal handler for cleaner exit."""
for p in VPSolver.PLIST:
try:
os.killpg(p.pid, signal.SIGTERM)
except Exception as e:
pass
sys.exit(0)
signal.signal(signal.SIGTERM, signal_handler)
sys.stdout = output
sys.stderr = output
input_ = form["input"].strip("\n")
if DEBUG:
print("Input:\n{0}\n\nOutput:".format(input_))
output.flush()
if app_name == "vbp":
tmpfile = VPSolver.new_tmp_file(ext=".vbp")
with open(tmpfile, "w") as f:
f.write(input_)
instance = VBP.from_file(tmpfile, verbose=False)
afg = AFG(instance, verbose=True)
lp_model = LP(afg, verbose=False)
out, sol = VPSolver.script(form["script"],
lp_model,
afg,
pyout=False,
verbose=True)
elif app_name == "mvp":
tmpfile = VPSolver.new_tmp_file(ext=".mvp")
with open(tmpfile, "w") as f:
f.write(input_)
instance = MVP.from_file(tmpfile, verbose=False)
afg = AFG(instance, verbose=True)
lp_model = LP(afg, verbose=False)
out, sol = VPSolver.script(form["script"],
lp_model,
afg,
pyout=False,
verbose=True)
print("EOF\n")
output.flush()
def test_scripts():
"""Test scripts."""
from pyvpsolver import VPSolver, VBP, MVP, AFG, LP, MPS
VPSolver.clear()
vbp = VBP(W=(1, ), w=[(1, )], b=[1], verbose=True)
mvp = MVP(Ws=[(1, )], Cs=[1], Qs=[inf], ws=[[(1, )]], b=[1], verbose=True)
for instance in [vbp, mvp]:
afg = AFG(instance, verbose=True)
lp = LP(afg, verbose=True)
mps = MPS(afg, verbose=True)
VPSolver.set_verbose(False)
output, solution = VPSolver.script("vpsolver_glpk.sh",
instance,
options="--seed 1234")
assert solution[0] == 1
if isinstance(instance, (VBP, MVP)):
instance_file = instance.filename
output, solution = VPSolver.script("vpsolver_glpk.sh", instance_file)
assert solution[0] == 1
output, solution = VPSolver.script("vpsolver_glpk.sh", afg)
assert solution[0] == 1
output, solution = VPSolver.script("vpsolver_glpk.sh", afg, lp)
assert solution[0] == 1
output, solution = VPSolver.script("vpsolver_glpk.sh", afg, mps)
assert solution[0] == 1
output, solution = VPSolver.script("vpsolver_glpk.sh", lp)
assert solution is None
output, solution = VPSolver.script("vpsolver_glpk.sh", mps)
assert solution is None
output, solution = VPSolver.script("vpsolver_glpk.sh", afg.filename)
assert solution[0] == 1
output, solution = VPSolver.script("vpsolver_glpk.sh", lp.filename)
assert solution is None
output, solution = VPSolver.script("vpsolver_glpk.sh", mps.filename)
assert solution is None
def test_lowlevel():
"""Test low-level API."""
from pyvpsolver import VPSolver, VBP, MVP, AFG
vbp = VBP(W=(1, ), w=[(1, )], b=[1])
mvp = MVP(Ws=[(1, )], Cs=[1], Qs=[inf], ws=[[(1, )]], b=[1])
afg_file = VPSolver.new_tmp_file(".afg")
lp_file = VPSolver.new_tmp_file(".lp")
mps_file = VPSolver.new_tmp_file(".mps")
svg_file = VPSolver.new_tmp_file(".svg")
VPSolver.vbp2afg(vbp, afg_file)
VPSolver.vbp2afg(mvp, afg_file)
VPSolver.vbp2afg(vbp.filename, afg_file)
VPSolver.vbp2afg(mvp.filename, afg_file)
VPSolver.afg2lp(afg_file, lp_file)
VPSolver.afg2mps(afg_file, mps_file)
VPSolver.afg2lp(AFG(vbp), lp_file)
VPSolver.afg2mps(AFG(mvp), mps_file)
def _generate_graph(self, W, w, labels, bounds, binary, S, T, LOSS):
"""Generate an arc-flow graph."""
from pyvpsolver import VBP, AFG
m = len(w)
ndims = len(W)
if bounds is not None:
b = bounds
else:
b = [
min(W[d]//w[i][d]) for d in range(ndims) if w[i][d] != 0
for i in range(m)
]
instance = VBP(W, w, b, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
graph.relabel(
lambda u: S if u == graph.S else T if u == graph.Ts[0] else str(u),
lambda lbl: labels[lbl] if lbl != graph.LOSS else LOSS
)
return graph
def _generate_graph(self, W, w, labels, bounds, binary, S, T, LOSS):
"""Generate an arc-flow graph."""
from pyvpsolver import VBP, AFG
m = len(w)
ndims = len(W)
if bounds is not None:
b = bounds
else:
b = [
min(W[d] // w[i][d]) for d in range(ndims) if w[i][d] != 0
for i in range(m)
]
instance = VBP(W, w, b, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
graph.relabel(
lambda u: S if u == graph.S else T
if u == graph.Ts[0] else str(u), lambda lbl: labels[lbl]
if lbl != graph.LOSS else LOSS)
return graph
def test_draw():
"""Test scripts."""
from pyvpsolver import VPSolver, VBP, MVP, AFG
vbp = VBP(W=(1, ), w=[(1, )], b=[1])
mvp = MVP(Ws=[(1, )], Cs=[1], Qs=[inf], ws=[[(1, )]], b=[1])
svg_file = VPSolver.new_tmp_file(".svg")
for instance in [vbp, mvp]:
afg = AFG(instance)
try:
afg.draw(svg_file, lpaths=True, graph_attrs={"size": "8,8"})
except Exception as e:
print(repr(e))
try:
VPSolver.afg2svg(afg, svg_file)
except Exception as e:
print(repr(e))
try:
VPSolver.afg2svg(afg.filename, svg_file)
except Exception as e:
print(repr(e))
def test_draw():
"""Test scripts."""
from pyvpsolver import VPSolver, VBP, MVP, AFG
vbp = VBP(W=(1,), w=[(1,)], b=[1])
mvp = MVP(Ws=[(1,)], Cs=[1], Qs=[inf], ws=[[(1,)]], b=[1])
svg_file = VPSolver.new_tmp_file(".svg")
for instance in [vbp, mvp]:
afg = AFG(instance)
try:
afg.draw(
svg_file, lpaths=True, graph_attrs={"size": "8,8"}
)
except Exception as e:
print(repr(e))
try:
VPSolver.afg2svg(afg, svg_file)
except Exception as e:
print(repr(e))
try:
VPSolver.afg2svg(afg.filename, svg_file)
except Exception as e:
print(repr(e))
def _generate_graph(self, Ws, ws, labels, bounds, binary, S, Ts, LOSS):
"""Generate an arc-flow graph."""
from pyvpsolver import MVP, AFG
m = len(ws)
ndims = len(Ws[0])
if bounds is not None:
b = bounds
else:
maxW = [max(Wi[d] for Wi in Ws) for d in range(ndims)]
b = [None]*m
for i in range(m):
minw = [min(wi[d] for wi in ws[i]) for d in range(ndims)]
b[i] = min(
maxW[d]//minw[d]
for d in range(ndims) if minw[d] != 0
)
Cs = [1]*len(Ws)
Qs = [-1]*len(Ws)
instance = MVP(Ws, Cs, Qs, ws, b, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
vlbl = {}
assert Ts is None or len(Ts) == len(graph.Ts)
for u in graph.V:
if u == graph.S:
vlbl[u] = S
elif u in graph.Ts:
vlbl[u] = Ts[graph.Ts.index(u)]
else:
vlbl[u] = str(u)
graph.relabel(
lambda u: vlbl.get(u),
lambda lbl: labels[lbl] if lbl != graph.LOSS else LOSS
)
return graph
def test_vbpsol():
"""Test vbpsol."""
from pyvpsolver import VPSolver, VBP, MVP, AFG, LP, MPS
vbp = VBP(W=(1, ), w=[(1, )], b=[1], verbose=True)
afg = AFG(vbp, verbose=True)
lp = LP(afg, verbose=True)
sol_file = VPSolver.new_tmp_file(".sol")
output, solution = VPSolver.script_wsol("vpsolver_glpk.sh", lp)
assert isinstance(solution, dict)
with open(sol_file, "w") as f:
lst = []
for var, value in solution.items():
lst.append(str(var))
lst.append(str(value))
print(" ".join(lst), file=f)
obj, patterns = VPSolver.vbpsol(afg, sol_file)
assert obj == 1
def _generate_model(self,
zvars,
Ws,
ws,
b,
bounds=None,
binary=False,
labels=None,
prefix=""):
"""Generate an arc-flow model."""
from pyvpsolver import MVP, AFG
ndims = len(Ws[0])
m = len(ws)
bb = [0] * m
bvars = []
maxW = [max(Wi[d] for Wi in Ws) for d in range(ndims)]
for i in range(m):
if isinstance(b[i], six.string_types):
minw = [min(wi[d] for wi in ws[i]) for d in range(ndims)]
bb[i] = min(maxW[d] // minw[d] for d in range(ndims)
if minw[d] != 0)
if bounds is not None:
bb[i] = min(bb[i], bounds[i])
bvars.append(b[i])
else:
bb[i] = b[i]
Cs = [1] * len(Ws)
Qs = [-1] * len(Ws)
instance = MVP(Ws, Cs, Qs, ws, bb, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
vnames = {(T, graph.S, graph.LOSS): zvar
for zvar, T in zip(zvars, graph.Ts)}
ub = {}
varl, cons = graph.get_flow_cons(vnames)
assocs = graph.get_assocs(vnames)
graph.names = vnames
nopts = [len(ws[i]) for i in range(m)]
if labels is None:
names = ["i={}".format(i + 1) for i in range(m)]
for i in range(m):
if isinstance(b[i], six.string_types):
names[i] = b[i]
labels = {(i, j): "{} opt={}".format(names[i], j + 1)
for i, j in instance.labels}
elif isinstance(labels, list):
labels = dict(enumerate(labels))
graph.set_labels({(u, v, lbl): [labels[lbl]]
for (u, v, lbl) in graph.A if lbl in labels})
for i in range(m):
lincomb = []
for j in range(nopts[i]):
lincomb += assocs.get((i, j), [])
if bounds is not None:
for var in lincomb:
ub[var] = bounds[i]
if isinstance(b[i], six.string_types):
varl.append(b[i])
cons.append((lincomb, "=", b[i]))
else:
if b[i] > 1:
cons.append((lincomb, ">=", b[i]))
else:
cons.append((lincomb, "=", b[i]))
model = Model()
for var in varl:
model.add_var(name=var, lb=0, ub=ub.get(var, None), vtype="I")
for lincomb, sign, rhs in cons:
model.add_con(lincomb, sign, rhs)
for i, zvar in enumerate(zvars):
flowvar = "_total_flow_{}".format(i)
model.add_var(name=flowvar, vtype="I")
model.add_con(flowvar, "=", zvar)
declared_vars = set(bvars)
def var_name(name):
if name in zvars:
return name
elif name in declared_vars:
return name
else:
return prefix + name
def con_name(name):
return prefix + name
model.rename_vars(var_name)
model.rename_cons(con_name)
return graph, model, declared_vars
def _generate_model(self,
zvar,
W,
w,
b,
bounds=None,
binary=False,
labels=None,
prefix=""):
"""Generate an arc-flow model."""
from pyvpsolver import VBP, AFG
m = len(w)
bb = [0] * m
bvars = []
for i in range(m):
if isinstance(b[i], six.string_types):
bb[i] = min(W[d] // w[i][d] for d in range(len(w[i]))
if w[i][d] != 0)
if bounds is not None:
bb[i] = min(bb[i], bounds[i])
bvars.append(b[i])
else:
bb[i] = b[i]
instance = VBP(W, w, bb, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
feedback = (graph.Ts[0], graph.S, graph.LOSS)
vnames = {}
vnames[feedback] = zvar
ub = {}
varl, cons = graph.get_flow_cons(vnames)
assocs = graph.get_assocs(vnames)
graph.names = vnames
if labels is None:
labels = {i: "i={0}".format(i + 1) for i in instance.labels}
for i in range(m):
if isinstance(b[i], six.string_types):
labels[i] = b[i]
elif isinstance(labels, list):
labels = dict(enumerate(labels))
graph.set_labels({(u, v, i): [labels[i]]
for (u, v, i) in graph.A if i in labels})
for i in range(m):
if i not in assocs:
assocs[i] = []
if bounds is not None:
for var in assocs[i]:
ub[var] = bounds[i]
if isinstance(b[i], six.string_types):
varl.append(b[i])
cons.append((assocs[i], "=", b[i]))
else:
if b[i] > 1:
cons.append((assocs[i], ">=", b[i]))
else:
cons.append((assocs[i], "=", b[i]))
model = Model()
for var in varl:
model.add_var(name=var, lb=0, ub=ub.get(var, None), vtype="I")
for lincomb, sign, rhs in cons:
model.add_con(lincomb, sign, rhs)
model.add_var(name="_total_flow", vtype="I")
model.add_con("_total_flow", "=", zvar)
declared_vars = set(bvars)
def var_name(name):
if name == zvar:
return name
elif name in declared_vars:
return name
else:
return prefix + name
def con_name(name):
return prefix + name
model.rename_vars(var_name)
model.rename_cons(con_name)
return graph, model, declared_vars
def main():
"""Examples: how to use VBP, MVP, AFG, MPS, LP and VPSolver"""
from pyvpsolver import VPSolver, VBP, MVP, AFG, MPS, LP
from pyvpsolver.solvers import vbpsolver, mvpsolver
os.chdir(os.path.dirname(__file__) or os.curdir)
# Create instanceA:
instanceA = VBP(
(5180,),
[(1120,), (1250,), (520,), (1066,), (1000,), (1150,)],
[9, 5, 91, 18, 11, 64]
)
# Create instanceB from a .vbp file
instanceB = VBP.from_file("instance.vbp")
# Create an arc-flow graph for instanceA
afg = AFG(instanceA, verbose=False)
# Create .mps and .lp models for instanceA
mps_model = MPS(afg, verbose=False)
lp_model = LP(afg, verbose=False)
# Draw the arc-flow graph for instanceA (requires pygraphviz)
try:
afg.draw("tmp/graph1.svg")
except ImportError as e:
print(repr(e))
# Solve instanceA using bin/vpsolver (requires Gurobi)
try:
out, sol = VPSolver.vpsolver(instanceA, verbose=True)
except Exception as e:
print("Failed to call vpsolver")
print(repr(e))
# Solve instanceA using any vpsolver script (i.e., any MIP solver):
# The scripts accept models with and without the underlying graphs.
# However, the graphs are required to extract the solution.
out, sol = VPSolver.script("vpsolver_glpk.sh", lp_model, afg, verbose=True)
try:
out, sol = VPSolver.script(
"vpsolver_gurobi.sh", mps_model, verbose=True
)
except Exception as e:
print(repr(e))
# Solve an instance directly without creating AFG, MPS or LP objects:
out, solution = VPSolver.script(
"vpsolver_glpk.sh", instanceB, verbose=True
)
# Print the solution:
obj, patterns = solution
print("Objective:", obj)
print("Solution:", patterns)
# Pretty-print the solution:
vbpsolver.print_solution(solution)
# check the solution objective value
obj, patterns = solution
assert obj == 21
# Create instanceC:
W1 = (100, 100)
W2 = (50, 120)
W3 = (150, 25)
ws1, b1 = [(50, 25), (25, 50), (0, 75)], 1
ws2, b2 = [(40, 40), (60, 25), (25, 60)], 1
ws3, b3 = [(30, 10), (20, 40), (10, 50)], 1
Ws = [W1, W2, W3] # capacities
Cs = [3, 7, 2] # costs
Qs = [-1, -1, -1] # number of bins available
ws = [ws1, ws2, ws3] # items
b = [b1, b2, b3] # demands
instanceC = MVP(Ws, Cs, Qs, ws, b)
# Solve an instance directly without creating AFG, MPS or LP objects:
out, solution = VPSolver.script(
"vpsolver_glpk.sh", instanceC, verbose=True
)
mvpsolver.print_solution(solution)
# check the solution objective value
obj, patterns = solution
assert obj == 3
# Create instanceD from a .mvp file
instanceD = MVP.from_file("instance.mvp")
# Draw the arc-flow graph for instanceD (requires pygraphviz)
try:
AFG(instanceD).draw("tmp/graph2.svg")
except ImportError as e:
print(repr(e))
# Solve an instance directly without creating AFG, MPS or LP objects:
out, solution = VPSolver.script(
"vpsolver_glpk.sh", instanceD, verbose=True
)
mvpsolver.print_solution(solution)
# check the solution objective value
obj, patterns = solution
assert obj == 8
def _generate_model(self, zvar, W, w, b, bounds=None, binary=False,
labels=None, prefix=""):
"""Generate an arc-flow model."""
from pyvpsolver import VBP, AFG
m = len(w)
bb = [0]*m
bvars = []
for i in range(m):
if isinstance(b[i], six.string_types):
bb[i] = min(
W[d]//w[i][d] for d in range(len(w[i])) if w[i][d] != 0
)
if bounds is not None:
bb[i] = min(bb[i], bounds[i])
bvars.append(b[i])
else:
bb[i] = b[i]
instance = VBP(W, w, bb, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
feedback = (graph.Ts[0], graph.S, graph.LOSS)
vnames = {}
vnames[feedback] = zvar
ub = {}
varl, cons = graph.get_flow_cons(vnames)
assocs = graph.get_assocs(vnames)
graph.names = vnames
if labels is None:
labels = {i: "i={0}".format(i+1) for i in instance.labels}
for i in range(m):
if isinstance(b[i], six.string_types):
labels[i] = b[i]
elif isinstance(labels, list):
labels = dict(enumerate(labels))
graph.set_labels({
(u, v, i): [labels[i]]
for (u, v, i) in graph.A
if i in labels
})
for i in range(m):
if i not in assocs:
assocs[i] = []
if bounds is not None:
for var in assocs[i]:
ub[var] = bounds[i]
if isinstance(b[i], six.string_types):
varl.append(b[i])
cons.append((assocs[i], "=", b[i]))
else:
if b[i] > 1:
cons.append((assocs[i], ">=", b[i]))
else:
cons.append((assocs[i], "=", b[i]))
model = Model()
for var in varl:
model.add_var(name=var, lb=0, ub=ub.get(var, None), vtype="I")
for lincomb, sign, rhs in cons:
model.add_con(lincomb, sign, rhs)
model.add_var(name="_total_flow", vtype="I")
model.add_con("_total_flow", "=", zvar)
declared_vars = set(bvars)
def var_name(name):
if name == zvar:
return name
elif name in declared_vars:
return name
else:
return prefix+name
def con_name(name):
return prefix+name
model.rename_vars(var_name)
model.rename_cons(con_name)
return graph, model, declared_vars
def _generate_model(self, zvars, Ws, ws, b, bounds=None, binary=False,
labels=None, prefix=""):
"""Generate an arc-flow model."""
from pyvpsolver import MVP, AFG
ndims = len(Ws[0])
m = len(ws)
bb = [0]*m
bvars = []
maxW = [max(Wi[d] for Wi in Ws) for d in range(ndims)]
for i in range(m):
if isinstance(b[i], six.string_types):
minw = [min(wi[d] for wi in ws[i]) for d in range(ndims)]
bb[i] = min(
maxW[d]//minw[d] for d in range(ndims) if minw[d] != 0
)
if bounds is not None:
bb[i] = min(bb[i], bounds[i])
bvars.append(b[i])
else:
bb[i] = b[i]
Cs = [1]*len(Ws)
Qs = [-1]*len(Ws)
instance = MVP(Ws, Cs, Qs, ws, bb, binary=binary, verbose=False)
graph = AFG(instance, verbose=Tools.VERBOSE).graph()
vnames = {
(T, graph.S, graph.LOSS): zvar
for zvar, T in zip(zvars, graph.Ts)
}
ub = {}
varl, cons = graph.get_flow_cons(vnames)
assocs = graph.get_assocs(vnames)
graph.names = vnames
nopts = [len(ws[i]) for i in range(m)]
if labels is None:
names = ["i={}".format(i+1) for i in range(m)]
for i in range(m):
if isinstance(b[i], six.string_types):
names[i] = b[i]
labels = {
(i, j): "{} opt={}".format(names[i], j+1)
for i, j in instance.labels
}
elif isinstance(labels, list):
labels = dict(enumerate(labels))
graph.set_labels({
(u, v, lbl): [labels[lbl]]
for (u, v, lbl) in graph.A
if lbl in labels
})
for i in range(m):
lincomb = []
for j in range(nopts[i]):
lincomb += assocs.get((i, j), [])
if bounds is not None:
for var in lincomb:
ub[var] = bounds[i]
if isinstance(b[i], six.string_types):
varl.append(b[i])
cons.append((lincomb, "=", b[i]))
else:
if b[i] > 1:
cons.append((lincomb, ">=", b[i]))
else:
cons.append((lincomb, "=", b[i]))
model = Model()
for var in varl:
model.add_var(name=var, lb=0, ub=ub.get(var, None), vtype="I")
for lincomb, sign, rhs in cons:
model.add_con(lincomb, sign, rhs)
for i, zvar in enumerate(zvars):
flowvar = "_total_flow_{}".format(i)
model.add_var(name=flowvar, vtype="I")
model.add_con(flowvar, "=", zvar)
declared_vars = set(bvars)
def var_name(name):
if name in zvars:
return name
elif name in declared_vars:
return name
else:
return prefix+name
def con_name(name):
return prefix+name
model.rename_vars(var_name)
model.rename_cons(con_name)
return graph, model, declared_vars
def main():
"""Examples: how to use VBP, MVP, AFG, MPS, LP and VPSolver"""
from pyvpsolver import VPSolver, VBP, MVP, AFG, MPS, LP
from pyvpsolver.solvers import vbpsolver, mvpsolver
os.chdir(os.path.dirname(__file__) or os.curdir)
# Create instanceA:
instanceA = VBP((5180, ), [(1120, ), (1250, ), (520, ), (1066, ), (1000, ),
(1150, )], [9, 5, 91, 18, 11, 64])
# Create instanceB from a .vbp file
instanceB = VBP.from_file("instance.vbp")
# Create an arc-flow graph for instanceA
afg = AFG(instanceA, verbose=False)
# Create .mps and .lp models for instanceA
mps_model = MPS(afg, verbose=False)
lp_model = LP(afg, verbose=False)
# Draw the arc-flow graph for instanceA (requires pygraphviz)
try:
afg.draw("tmp/graph1.svg")
except ImportError as e:
print(repr(e))
# Solve instanceA using bin/vpsolver (requires Gurobi)
try:
out, sol = VPSolver.vpsolver(instanceA, verbose=True)
except Exception as e:
print("Failed to call vpsolver")
print(repr(e))
# Solve instanceA using any vpsolver script (i.e., any MIP solver):
# The scripts accept models with and without the underlying graphs.
# However, the graphs are required to extract the solution.
out, sol = VPSolver.script("vpsolver_glpk.sh", lp_model, afg, verbose=True)
try:
out, sol = VPSolver.script("vpsolver_gurobi.sh",
mps_model,
verbose=True)
except Exception as e:
print(repr(e))
# Solve an instance directly without creating AFG, MPS or LP objects:
out, solution = VPSolver.script("vpsolver_glpk.sh",
instanceB,
verbose=True)
# Print the solution:
obj, patterns = solution
print("Objective:", obj)
print("Solution:", patterns)
# Pretty-print the solution:
vbpsolver.print_solution(solution)
# check the solution objective value
obj, patterns = solution
assert obj == 21
# Create instanceC:
W1 = (100, 100)
W2 = (50, 120)
W3 = (150, 25)
ws1, b1 = [(50, 25), (25, 50), (0, 75)], 1
ws2, b2 = [(40, 40), (60, 25), (25, 60)], 1
ws3, b3 = [(30, 10), (20, 40), (10, 50)], 1
Ws = [W1, W2, W3] # capacities
Cs = [3, 7, 2] # costs
Qs = [-1, -1, -1] # number of bins available
ws = [ws1, ws2, ws3] # items
b = [b1, b2, b3] # demands
instanceC = MVP(Ws, Cs, Qs, ws, b)
# Solve an instance directly without creating AFG, MPS or LP objects:
out, solution = VPSolver.script("vpsolver_glpk.sh",
instanceC,
verbose=True)
mvpsolver.print_solution(solution)
# check the solution objective value
obj, patterns = solution
assert obj == 3
# Create instanceD from a .mvp file
instanceD = MVP.from_file("instance.mvp")
# Draw the arc-flow graph for instanceD (requires pygraphviz)
try:
AFG(instanceD).draw("tmp/graph2.svg")
except ImportError as e:
print(repr(e))
# Solve an instance directly without creating AFG, MPS or LP objects:
out, solution = VPSolver.script("vpsolver_glpk.sh",
instanceD,
verbose=True)
mvpsolver.print_solution(solution)
# check the solution objective value
obj, patterns = solution
assert obj == 8