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 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 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
