def main():
"""Parses 'instance.mod'"""
mod_in = "instance.mod"
mod_out = "tmp/instance.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/instance.lp"
glpkutils.mod2lp(mod_out, lp_out, True)
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=True
)
sol = parser["VBP_FLOW"].extract(
lambda varname: varvalues.get(varname, 0),
verbose=True
)
print("")
print("sol:", sol)
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items())])
print("")
assert varvalues["Z"] == 33 # check the solution objective value
exit_code = os.system("glpsol --math {0}".format(mod_out))
assert exit_code == 0
def main():
"""Parses 'instance_vbp.mod'"""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "instance_vbp.mod"
mod_out = "tmp/instance_vbp.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/instance_vbp.lp"
glpkutils.mod2lp(mod_out, lp_out, True)
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=True
)
sol = parser["VBP_FLOW"].extract(
lambda varname: varvalues.get(varname, 0),
verbose=True
)
print("")
print("sol:", sol)
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items())])
print("")
assert varvalues["Z"] == 33 # check the solution objective value
def main():
"""Solve 'vpsolver_vbp_flow.mod' and 'vpsolver_vbp_graph.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
for model in ["vpsolver_vbp_graph", "vpsolver_vbp_flow"]:
mod_in = "{}.mod".format(model)
mod_out = "tmp/{}.out.mod".format(model)
parser = PyMPL()
parser.parse(mod_in, mod_out)
lp_out = "tmp/{}.lp".format(model)
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=True
)
sol = parser["MVP_FLOW"].extract(
lambda varname: varvalues.get(varname, 0),
verbose=True
)
print("")
print("sol:", sol)
print("varvalues:", [
(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")
])
print("")
assert varvalues["Z"] == 33 # check the solution objective value
def main():
"""Parses 'twostage.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "twostage.mod"
mod_out = "tmp/twostage.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/twostage.lp"
glpkutils.mod2lp(mod_out, lp_out, True)
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=True
)
print("")
print("varvalues:", [
(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")
])
print("")
assert varvalues["Z"] == 15 # check the solution objective value
parser["VBP_FLOW"].extract(
lambda name: varvalues.get(name, 0),
verbose=True
)
def main():
"""Solve 'tsp_gurobi.mod' using a cut generator."""
from pympl import PyMPL, Tools, glpkutils
from gurobipy import GRB, LinExpr, read
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "tsp_gurobi.mod"
mod_out = "tmp/tsp_gurobi.out.mod"
graph_size = "large"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/tsp_gurobi.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
m = read(lp_out)
m.params.LazyConstraints = 1
m.params.MIPGap = 0
m.params.MIPGapAbs = 1-1e-5
def sep_callback(model, where):
"""Gurobi callback function."""
if where == GRB.callback.MIPNODE:
model._cnt += 1
if model._cnt - model._lastrun < 10:
return
model._lastrun = model._cnt
# check if the submodel was used
assert "ATSP_MTZ" in parser.submodels()
# calls the separate method to compute valid inequalities
cuts = parser["ATSP_MTZ"].separate(
lambda name: model.cbGetNodeRel(model.getVarByName(name))
)
# add the cuts to the model
if len(cuts) > 0:
print("add {0} {1}".format(
len(cuts), "cuts" if len(cuts) > 1 else "cut"
))
for cut in cuts:
lincomb, sign, rhs = cut
expr = LinExpr([
(coef, model.getVarByName(var))
for var, coef in lincomb
])
if sign[0] == ">":
model.cbLazy(expr >= rhs)
elif sign[0] == "<":
model.cbLazy(expr <= rhs)
else:
model.cbLazy(expr == rhs)
m._cnt = 0
m._lastrun = float("-inf")
m.optimize(sep_callback)
print("Objective:", m.ObjVal)
def test_eval():
"""Test ${expression}$ calls."""
parser = PyMPL()
parser.input = """
s.t. con1: x + y <= ${abs((2**7)//5-135)}$ * z;
var x1, >= ${2+6}$, <= ${10*5}$;
"""
parser.parse(comment_cmds=False)
assert "s.t. con1: x + y <= 110 * z;" in parser.output
assert "var x1, >= 8, <= 50;" in parser.output
def test_eval():
"""Test ${expression}$ calls."""
parser = PyMPL()
parser.input = """
s.t. con1: x + y <= ${abs((2**7)//5-135)}$ * z;
var x1, >= ${2+6}$, <= ${10*5}$;
"""
parser.parse(comment_cmds=False)
assert "s.t. con1: x + y <= 110 * z;" in parser.output
assert "var x1, >= 8, <= 50;" in parser.output
def test_stmt():
"""Test $STMT{stmt} calls."""
parser = PyMPL()
parser.input = """
$STMT{"s.t. con1: x + y <= {0} * z;".format(abs((2**7)//5-135))};
$EXEC{stmt = "s.t. {0}: x >= 10;".format("test")};
$STMT{stmt};
"""
parser.parse(comment_cmds=False)
assert "s.t. con1: x + y <= 110 * z;" in parser.output
assert "s.t. test: x >= 10;" in parser.output
def test_stmt():
"""Test $STMT{stmt} calls."""
parser = PyMPL()
parser.input = """
$STMT{"s.t. con1: x + y <= {0} * z;".format(abs((2**7)//5-135))};
$EXEC{stmt = "s.t. {0}: x >= 10;".format("test")};
$STMT{stmt};
"""
parser.parse(comment_cmds=False)
assert "s.t. con1: x + y <= 110 * z;" in parser.output
assert "s.t. test: x >= 10;" in parser.output
def test_set():
"""Test $SET[name]{values} calls."""
parser = PyMPL()
parser.input = """
$SET[A]{range(5)};
$SET[B]{zip(range(5),range(5))};
$SET[^C]{range(5)};
"""
parser.parse(comment_cmds=False)
assert "set A := {0,1,2,3,4};" in parser.output
assert "set B := {(0,0),(1,1),(2,2),(3,3),(4,4)};" in parser.output
assert "set C := {0,1,2,3,4};" not in parser.output
assert "set ^C := {0,1,2,3,4};" not in parser.output
def parse(mod_in, prob, relax, xform, test_seed):
"""Parse LS-LIB test files."""
from pympl import PyMPL, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_out = "tmp/lstlib_test.out.mod"
TEST_PROB = prob # pass the problem name to the model
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/lslib_test.out.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
return lp_out
def test_set():
"""Test $SET[name]{values} calls."""
parser = PyMPL()
parser.input = """
$SET[A]{range(5)};
$SET[B]{zip(range(5),range(5))};
$SET[^C]{range(5)};
"""
parser.parse(comment_cmds=False)
assert "set A := {0,1,2,3,4};" in parser.output
assert "set B := {(0,0),(1,1),(2,2),(3,3),(4,4)};" in parser.output
assert "set C := {0,1,2,3,4};" not in parser.output
assert "set ^C := {0,1,2,3,4};" not in parser.output
def parse(mod_in, prob, relax, xform, test_seed):
"""Parse LS-LIB test files."""
from pympl import PyMPL, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_out = "tmp/lstlib_test.out.mod"
TEST_PROB = prob # pass the problem name to the model
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/lslib_test.out.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
return lp_out
def main():
"""Solve 'wolseyR2network.mod' and 'wolseyR1gamma.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
a, a0 = [65, 64, 41, 22, 13, 12, 8, 2], 80
aS = abs(2 * a0 + 1 - sum(a))
if a0 < (sum(a) - 1) // 2:
a0 += aS
a.append(aS)
print("self-dual:", a, a0)
m = len(a)
W = [a0] + [1] * len(a)
w = [[a[i]] + [1 if j == i else 0 for j in range(m)] for i in range(m)]
labels = [i + 1 for i in range(m)]
bounds = [1 if w[i] <= W else 0 for i in range(m)]
# wolseyR2network:
print("-" * 10)
print("Primal:")
mod_in = "wolseyR2network.mod"
mod_out = "tmp/wolseyR2network.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/wolseyR2network.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=False)
print("")
print("varvalues:",
[(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")])
print("")
# check the solution objective value:
assert abs(varvalues["Z0"] - 9) < 1e-5
# wolseyR1gamma:
print("-" * 10)
print("wolseyR1gamma:")
mod_in = "wolseyR1gamma.mod"
mod_out = "tmp/wolseyR1gamma.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/wolseyR1gamma.mod.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=False)
print("")
print("varvalues:",
[(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")])
print("")
# check the solution objective value:
assert abs(varvalues['theta(T)'] - 9) < 1e-5
def main():
"""Solve 'pwl.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "pwl.mod"
mod_out = "tmp/pwl.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/pwl.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items()) if not k.startswith("_")])
def main():
"""Solve 'sos2.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "sos2.mod"
mod_out = "tmp/sos2.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/sos2.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
print("varvalues:",
[(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")])
def equivknapsack(a, a0, bounds=None):
"""Compute a minimal equivalent knapsack inequalitie."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
if bounds is None:
bounds = [a0]*len(a)
for i in range(len(a)):
bounds[i] = min(bounds[i], a0//a[i] if a[i] != 0 else 0)
sum_a = sum(x*y for x, y in zip(a, bounds))
aS = abs(2*a0+1-sum_a)
if a0 < (sum_a-1)//2:
a0 += aS
fix_as = 1
else:
fix_as = 0
if aS > a0:
return [0]*len(a), 0, bounds
a = list(a)+[aS]
bounds = bounds+[1]
mod_in = "equivknapsack.mod"
mod_out = "tmp/equivknapsack.out.mod"
parser = PyMPL(locals_=locals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/equivknapsack.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
# exit_code = os.system("glpsol --math {0}".format(mod_out))
# assert exit_code == 0
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=True
)
b = [varvalues.get("pi({0})".format(i+1), 0) for i in range(len(a))]
b0 = varvalues.get("pi(0)", 0)
if fix_as == 1:
b0 -= b[-1]
b = b[:-1]
else:
b = b[:-1]
return tuple(b), b0, tuple(bounds)
def main():
"""Solve 'twostage.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "twostage.mod"
mod_out = "tmp/twostage.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/twostage.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
print("")
print("varvalues:",
[(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")])
print("")
assert varvalues["Z"] == 11 # check the solution objective value
exctacted_solution = parser["VBP_FLOW"].extract(
lambda name: varvalues.get(name, 0), verbose=True)
solution = {}
for zvar, value, sol in exctacted_solution:
solution[zvar] = []
for r, pattern in sol:
solution[zvar] += [pattern] * r
assert value == len(solution[zvar])
def pop_pattern(zvar):
pattern = []
for it in solution[zvar].pop():
if it not in solution:
pattern.append(it)
else:
pattern.append((it, pop_pattern(it)))
return pattern
print("\n\nSolution:")
for i in range(varvalues["Z"]):
pattern = pop_pattern("Z")
print("Sheet {}: {}".format(i + 1, pattern))
def test_glpkutils():
"""Test glpkutils."""
from pympl import Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in, mod_out = "pwl.mod", "tmp/pwl.out.mod"
lp_out, mps_out = "tmp/pwl.lp", "tmp/pwl.mps"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
glpkutils.mod2mps(mod_out, mps_out, verbose=True)
Tools.clear()
Tools.set_verbose(False)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
out, varvalues = Tools.script("glpk_wrapper.sh", mps_out, verbose=True)
def test_glpkutils():
"""Test glpkutils."""
from pympl import Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in, mod_out = "pwl.mod", "tmp/pwl.out.mod"
lp_out, mps_out = "tmp/pwl.lp", "tmp/pwl.mps"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
glpkutils.mod2mps(mod_out, mps_out, verbose=True)
Tools.clear()
Tools.set_verbose(False)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
out, varvalues = Tools.script("glpk_wrapper.sh", mps_out, verbose=True)
def test_comments():
"""Test valid comments."""
parser = PyMPL()
parser.input = """
/* ... $SET[A]{range(5)}; ... */
# $PARAM[VALUE]{10};
# ... $PARAM[VALUE2]{10}; ...
param a := "\\"/*";
$PARAM[Y]{10};
param b := "*/";
"""
parser.parse(comment_cmds=True)
assert "set A := {0,1,2,3,4};" not in parser.output
assert "param VALUE := 10;" not in parser.output
assert "param VALUE2 := 10;" not in parser.output
assert "param Y := 10;" in parser.output
assert "# $PARAM[VALUE]{10};" in parser.output
assert "/*EVALUATED:PARAM[Y]{10}*/" in parser.output
def test_comments():
"""Test valid comments."""
parser = PyMPL()
parser.input = """
/* ... $SET[A]{range(5)}; ... */
# $PARAM[VALUE]{10};
# ... $PARAM[VALUE2]{10}; ...
param a := "\\"/*";
$PARAM[Y]{10};
param b := "*/";
"""
parser.parse(comment_cmds=True)
assert "set A := {0,1,2,3,4};" not in parser.output
assert "param VALUE := 10;" not in parser.output
assert "param VALUE2 := 10;" not in parser.output
assert "param Y := 10;" in parser.output
assert "# $PARAM[VALUE]{10};" in parser.output
assert "/*EVALUATED:PARAM[Y]{10}*/" in parser.output
def test_var():
"""Test $VAR[name]{typ, lb, ub} calls."""
parser = PyMPL()
parser.input = """
$VAR[x]{"integer", 0, 10};
$VAR[y]{"binary"};
$VAR[z]{ub=abs((2**7)//5-135)};
$VAR[^z]{"integer", 0, 10};
$VAR[xs{I}]{"integer", index_set=range(3)};
$EXEC{VAR['y']("binary")};
"""
parser.parse(comment_cmds=False)
assert "var x, integer, >= 0, <= 10;" in parser.output
assert "var y, binary;" in parser.output
assert "var z, <= 110;" in parser.output
assert "var ^z, integer, >= 0, <= 10;" not in parser.output
assert "var y, binary;" in parser.output
assert "var xs{I}, integer;" in parser.output
assert "set I := {0,1,2};" in parser.output
def test_var():
"""Test $VAR[name]{typ, lb, ub} calls."""
parser = PyMPL()
parser.input = """
$VAR[x]{"integer", 0, 10};
$VAR[y]{"binary"};
$VAR[z]{ub=abs((2**7)//5-135)};
$VAR[^z]{"integer", 0, 10};
$VAR[xs{I}]{"integer", index_set=range(3)};
$EXEC{VAR['y']("binary")};
"""
parser.parse(comment_cmds=False)
assert "var x, integer, >= 0, <= 10;" in parser.output
assert "var y, binary;" in parser.output
assert "var z, <= 110;" in parser.output
assert "var ^z, integer, >= 0, <= 10;" not in parser.output
assert "var y, binary;" in parser.output
assert "var xs{I}, integer;" in parser.output
assert "set I := {0,1,2};" in parser.output
def equivknapsack(a, a0, bounds=None):
"""Compute a minimal equivalent knapsack inequalitie."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
if bounds is None:
bounds = [a0] * len(a)
for i in range(len(a)):
bounds[i] = min(bounds[i], a0 // a[i] if a[i] != 0 else 0)
sum_a = sum(x * y for x, y in zip(a, bounds))
aS = abs(2 * a0 + 1 - sum_a)
if a0 < (sum_a - 1) // 2:
a0 += aS
fix_as = 1
else:
fix_as = 0
if aS > a0:
return [0] * len(a), 0, bounds
a = list(a) + [aS]
bounds = bounds + [1]
mod_in = "equivknapsack.mod"
mod_out = "tmp/equivknapsack.out.mod"
parser = PyMPL(locals_=locals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/equivknapsack.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
# exit_code = os.system("glpsol --math {0}".format(mod_out))
# assert exit_code == 0
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
b = [varvalues.get("pi({0})".format(i + 1), 0) for i in range(len(a))]
b0 = varvalues.get("pi(0)", 0)
if fix_as == 1:
b0 -= b[-1]
b = b[:-1]
else:
b = b[:-1]
return tuple(b), b0, tuple(bounds)
def main():
"""Solve 'twostage.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "twostage.mod"
mod_out = "tmp/twostage.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/twostage.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
print("")
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items()) if not k.startswith("_")])
print("")
assert varvalues["Z"] == 11 # check the solution objective value
exctacted_solution = parser["VBP_FLOW"].extract(lambda name: varvalues.get(name, 0), verbose=True)
solution = {}
for zvar, value, sol in exctacted_solution:
solution[zvar] = []
for r, pattern in sol:
solution[zvar] += [pattern] * r
assert value == len(solution[zvar])
def pop_pattern(zvar):
pattern = []
for it in solution[zvar].pop():
if it not in solution:
pattern.append(it)
else:
pattern.append((it, pop_pattern(it)))
return pattern
print("\n\nSolution:")
for i in range(varvalues["Z"]):
pattern = pop_pattern("Z")
print("Sheet {}: {}".format(i + 1, pattern))
def test_param():
"""Test $PARAM[name]{value} calls."""
parser = PyMPL()
parser.input = """
$PARAM[NAME]{"name"};
$PARAM[VALUE]{10};
$PARAM[D{I}]{{'a': 1}};
$PARAM[L0]{[1,2,3], i0=0};
$PARAM[L1]{[1,2,3], i0=1};
$PARAM[^NAME2]{"something"};
"""
parser.parse(comment_cmds=False)
assert "param NAME := 'name';" in parser.output
assert "param VALUE := 10;" in parser.output
assert "param D := ['a']1;" in parser.output
assert "set I := {'a'};" in parser.output
assert "param L0 := [0]1[1]2[2]3;" in parser.output
assert "param L1 := [1]1[2]2[3]3;" in parser.output
assert "param NAME2 := 'something';" not in parser.output
assert "param ^NAME2 := 'something';" not in parser.output
def test_param():
"""Test $PARAM[name]{value} calls."""
parser = PyMPL()
parser.input = """
$PARAM[NAME]{"name"};
$PARAM[VALUE]{10};
$PARAM[D{I}]{{'a': 1}};
$PARAM[L0]{[1,2,3], i0=0};
$PARAM[L1]{[1,2,3], i0=1};
$PARAM[^NAME2]{"something"};
"""
parser.parse(comment_cmds=False)
assert "param NAME := 'name';" in parser.output
assert "param VALUE := 10;" in parser.output
assert "param D := ['a']1;" in parser.output
assert "set I := {'a'};" in parser.output
assert "param L0 := [0]1[1]2[2]3;" in parser.output
assert "param L1 := [1]1[2]2[3]3;" in parser.output
assert "param NAME2 := 'something';" not in parser.output
assert "param ^NAME2 := 'something';" not in parser.output
def main():
"""Solve 'ppbymip_ps.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "ppbymip_ps.mod"
mod_out = "tmp/ps.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/ps.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script(
"gurobi_wrapper.sh",
lp_out,
options="Threads=1 Presolve=0 Heuristics=0.25 MIPGap=0",
verbose=True)
print("varvalues:",
[(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")])
def main():
"""Parses 'instance_mvp.mod'"""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "instance_mvp.mod"
mod_out = "tmp/instance_mvp.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/instance_mvp.lp"
glpkutils.mod2lp(mod_out, lp_out, True)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
sol = parser["MVP_FLOW"].extract(lambda varname: varvalues.get(varname, 0),
verbose=True)
print("")
print("sol:", sol)
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items())])
print("")
assert varvalues["cost"] == 8 # check the solution objective value
def equivknapsack01(a, a0):
"""Compute a minimal equivalent 0-1 knapsack inequalitie."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
aS = abs(2*a0+1-sum(a))
if a0 < (sum(a)-1)//2:
a0 += aS
fix_as = 1
else:
fix_as = 0
if aS > a0:
return [0]*len(a), 0
a = list(a)+[aS]
mod_in = "equivknapsack01.mod"
mod_out = "tmp/equivknapsack01.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/equivknapsack01.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
# exit_code = os.system("glpsol --math {0}".format(mod_out))
# assert exit_code == 0
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=False
)
b = [varvalues.get("pi({0})".format(i+1), 0) for i in range(len(a))]
b0 = varvalues.get("pi(0)", 0)
if fix_as == 1:
b0 -= b[-1]
b = b[:-1]
else:
b = b[:-1]
return tuple(b), b0
def main():
"""Solve 'ppbymip_mp.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
mod_in = "ppbymip_mp.mod"
mod_out = "tmp/mp.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/mp.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script(
"gurobi_wrapper.sh", lp_out,
options="Threads=1 Presolve=0 Heuristics=0.25 MIPGap=0",
verbose=True
)
print("varvalues:", [
(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")
])
def test_con():
"""Test $CON[name]{lincomb, sign, rhs} calls."""
parser = PyMPL()
parser.input = """
$VAR[x1]{}; $VAR[x2]{}; $VAR[x3]{};
$CON[con1]{[("x1",5),("x2",15),("x3",10)],">=",20};
$CON[con2]{[("x1",5),("x2",15),-20],">=",("x3",-10)};
$CON[con3]{[("x1",5)],">=",[("x2",-15),("x3",-10),20]};
$CON[con4]{-20,">=",[("x1",-5),("x2",-15),("x3",-10)]};
$CON[con5]{-20,">=",[(-5, "x1"),("x2",-15),(-10, "x3")]};
$CON[con6]{[-20, "x1"],">=",[(-4, "x1"),("x2",-15),(-10, "x3")]};
$CON[con7]{"x1",">=",[(-4, "x1"),20,("x2",-15),(-10, "x3")]};
$CON[^xyz]{[("x1",5),("x2",15),("x3",10)],">=",20};
"""
parser.parse(comment_cmds=False)
assert "s.t. con1: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con2: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con3: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con4: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con5: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con6: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con7: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. xyz: +5*x1 +15*x2 +10*x3 >= 20;" not in parser.output
def test_con():
"""Test $CON[name]{lincomb, sign, rhs} calls."""
parser = PyMPL()
parser.input = """
$VAR[x1]{}; $VAR[x2]{}; $VAR[x3]{};
$CON[con1]{[("x1",5),("x2",15),("x3",10)],">=",20};
$CON[con2]{[("x1",5),("x2",15),-20],">=",("x3",-10)};
$CON[con3]{[("x1",5)],">=",[("x2",-15),("x3",-10),20]};
$CON[con4]{-20,">=",[("x1",-5),("x2",-15),("x3",-10)]};
$CON[con5]{-20,">=",[(-5, "x1"),("x2",-15),(-10, "x3")]};
$CON[con6]{[-20, "x1"],">=",[(-4, "x1"),("x2",-15),(-10, "x3")]};
$CON[con7]{"x1",">=",[(-4, "x1"),20,("x2",-15),(-10, "x3")]};
$CON[^xyz]{[("x1",5),("x2",15),("x3",10)],">=",20};
"""
parser.parse(comment_cmds=False)
assert "s.t. con1: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con2: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con3: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con4: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con5: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con6: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. con7: +5*x1 +15*x2 +10*x3 >= 20;" in parser.output
assert "s.t. xyz: +5*x1 +15*x2 +10*x3 >= 20;" not in parser.output
def equivknapsack01(a, a0):
"""Compute a minimal equivalent 0-1 knapsack inequalitie."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
aS = abs(2 * a0 + 1 - sum(a))
if a0 < (sum(a) - 1) // 2:
a0 += aS
fix_as = 1
else:
fix_as = 0
if aS > a0:
return [0] * len(a), 0
a = list(a) + [aS]
mod_in = "equivknapsack01.mod"
mod_out = "tmp/equivknapsack01.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/equivknapsack01.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
# exit_code = os.system("glpsol --math {0}".format(mod_out))
# assert exit_code == 0
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=False)
b = [varvalues.get("pi({0})".format(i + 1), 0) for i in range(len(a))]
b0 = varvalues.get("pi(0)", 0)
if fix_as == 1:
b0 -= b[-1]
b = b[:-1]
else:
b = b[:-1]
return tuple(b), b0
def main():
"""Solve 'wolseyR2network.mod' and 'wolseyR1gamma.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
a, a0 = [65, 64, 41, 22, 13, 12, 8, 2], 80
aS = abs(2 * a0 + 1 - sum(a))
if a0 < (sum(a) - 1) // 2:
a0 += aS
a.append(aS)
print("self-dual:", a, a0)
m = len(a)
W = [a0] + [1] * len(a)
w = [[a[i]] + [1 if j == i else 0 for j in range(m)] for i in range(m)]
labels = [i + 1 for i in range(m)]
bounds = [1 if w[i] <= W else 0 for i in range(m)]
# wolseyR2network:
print("-" * 10)
print("Primal:")
mod_in = "wolseyR2network.mod"
mod_out = "tmp/wolseyR2network.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/wolseyR2network.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=False)
print("")
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items()) if not k.startswith("_")])
print("")
# check the solution objective value:
assert abs(varvalues["Z0"] - 9) < 1e-5
# wolseyR1gamma:
print("-" * 10)
print("wolseyR1gamma:")
mod_in = "wolseyR1gamma.mod"
mod_out = "tmp/wolseyR1gamma.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/wolseyR1gamma.mod.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=False)
print("")
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items()) if not k.startswith("_")])
print("")
# check the solution objective value:
assert abs(varvalues["theta(T)"] - 9) < 1e-5
def main():
"""Solve 'vpsolver_vbp_flow.mod' and 'vpsolver_vbp_graph.mod'."""
from pympl import PyMPL, Tools, glpkutils
os.chdir(os.path.dirname(__file__) or os.curdir)
for model in ["vpsolver_vbp_graph", "vpsolver_vbp_flow"]:
mod_in = "{}.mod".format(model)
mod_out = "tmp/{}.out.mod".format(model)
parser = PyMPL()
parser.parse(mod_in, mod_out)
lp_out = "tmp/{}.lp".format(model)
glpkutils.mod2lp(mod_out, lp_out, verbose=True)
out, varvalues = Tools.script("glpk_wrapper.sh", lp_out, verbose=True)
sol = parser["MVP_FLOW"].extract(
lambda varname: varvalues.get(varname, 0), verbose=True)
print("")
print("sol:", sol)
print("varvalues:",
[(k, v)
for k, v in sorted(varvalues.items()) if not k.startswith("_")])
print("")
assert varvalues["Z"] == 33 # 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,
verbose=True
)
elif app_name == "pympl":
tmpfile = VPSolver.new_tmp_file(ext=".mod")
parser = PyMPL()
parser.input = input_
parser.parse()
parser.write(tmpfile)
VPSolver.run(
"glpsol --math {0}".format(tmpfile),
grepv="Generating",
verbose=True
)
print("EOF\n")
output.flush()
def test_exceptions():
"""Test if exceptions are being thrown correctly."""
parser = PyMPL()
parser.input = """$EXEC{print(1/0)};"""
with pytest.raises(ZeroDivisionError):
parser.parse(comment_cmds=False)
parser.input = """$SET[X]{0};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$VBP_FLOW[Z]{100, [10, 10]};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$VBP_FLOW[Z]{100, 10};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$SET[X]{};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$SET[X]{[1,2,3]};$SET[X]{[1,2]};"""
with pytest.raises(AssertionError):
parser.parse(comment_cmds=False)
parser.input = """$SET[2X]{[1,2,3]};"""
with pytest.raises(AssertionError):
parser.parse(comment_cmds=False)
from pympl import PyMPL
print("/*")
pympl = PyMPL(locals_=locals(), globals_=globals())
pympl.parse("model.mod")
print("*/")
print(pympl.output)
def test_exceptions():
"""Test if exceptions are being thrown correctly."""
parser = PyMPL()
parser.input = """$EXEC{print(1/0)};"""
with pytest.raises(ZeroDivisionError):
parser.parse(comment_cmds=False)
parser.input = """$SET[X]{0};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$VBP_FLOW[Z]{100, [10, 10]};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$VBP_FLOW[Z]{100, 10};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$SET[X]{};"""
with pytest.raises(TypeError):
parser.parse(comment_cmds=False)
parser.input = """$SET[X]{[1,2,3]};$SET[X]{[1,2]};"""
with pytest.raises(AssertionError):
parser.parse(comment_cmds=False)
parser.input = """$SET[2X]{[1,2,3]};"""
with pytest.raises(AssertionError):
parser.parse(comment_cmds=False)
def test_empty():
"""Test empty files."""
parser = PyMPL()
parser.input = ""
parser.parse(comment_cmds=False)
assert parser.output == ""
def test_empty():
"""Test empty files."""
parser = PyMPL()
parser.input = ""
parser.parse(comment_cmds=False)
assert parser.output == ""
def main():
"""Parses 'graph.mod'"""
a, a0 = [65, 64, 41, 22, 13, 12, 8, 2], 80
aS = abs(2*a0+1-sum(a))
if a0 < (sum(a)-1)//2:
a0 += aS
a.append(aS)
print('self-dual:', a, a0)
m = len(a)
W = [a0]+[1]*len(a)
w = [[a[i]]+[1 if j == i else 0 for j in range(m)] for i in range(m)]
labels = [i+1 for i in range(m)]
bounds = [1 if w[i] <= W else 0 for i in range(m)]
# wolseyR2network:
print("-"*10)
print("Primal:")
mod_in = "wolseyR2network.mod"
mod_out = "tmp/wolseyR2network.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/wolseyR2network.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=False
)
print("")
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items())])
print("")
# Check the solution objective value:
assert abs(varvalues["Z0"] - 9) < 1e-5
exit_code = os.system("glpsol --math {0}".format(mod_out))
assert exit_code == 0
# wolseyR1gamma:
print("-"*10)
print("wolseyR1gamma:")
mod_in = "wolseyR1gamma.mod"
mod_out = "tmp/wolseyR1gamma.mod.out.mod"
parser = PyMPL(locals_=locals(), globals_=globals())
parser.parse(mod_in, mod_out)
lp_out = "tmp/wolseyR1gamma.mod.lp"
glpkutils.mod2lp(mod_out, lp_out, verbose=False)
out, varvalues = Tools.script(
"glpk_wrapper.sh", lp_out, verbose=False
)
print("")
print("varvalues:", [(k, v) for k, v in sorted(varvalues.items())])
print("")
# Check the solution objective value:
assert abs(varvalues['theta(T)'] - 9) < 1e-5
exit_code = os.system("glpsol --math {0}".format(mod_out))
assert exit_code == 0