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Fix failing test

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This commit is contained in:
Alinson S. Xavier
2020-05-05 14:44:08 -05:00
parent 3ac9852869
commit 0cf1939325
2 changed files with 7 additions and 4 deletions
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4
src/julia/src/jump_solver.jl
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@@ -131,6 +131,10 @@ end
@error "JuMPSolver: set_threads not implemented" @error "JuMPSolver: set_threads not implemented"
end end
function set_branching_priorities(self, priorities)
@error "JuMPSolver: set_branching_priorities not implemented"
end
function set_time_limit(self, time_limit) function set_time_limit(self, time_limit)
JuMP.set_time_limit_sec(self.model, time_limit) JuMP.set_time_limit_sec(self.model, time_limit)
end end

7
src/python/miplearn/problems/tests/test_stab.py
View File

@@ -2,11 +2,10 @@
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved. # Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details. # Released under the modified BSD license. See COPYING.md for more details.
from miplearn import LearningSolver
from miplearn.problems.stab import MaxWeightStableSetInstance
from miplearn.problems.stab import MaxWeightStableSetGenerator
import networkx as nx import networkx as nx
import numpy as np import numpy as np
from miplearn import LearningSolver
from miplearn.problems.stab import MaxWeightStableSetInstance
from scipy.stats import uniform, randint from scipy.stats import uniform, randint
@@ -16,7 +15,7 @@ def test_stab():
instance = MaxWeightStableSetInstance(graph, weights) instance = MaxWeightStableSetInstance(graph, weights)
solver = LearningSolver() solver = LearningSolver()
solver.solve(instance) solver.solve(instance)
assert instance.model.OBJ() == 2. assert instance.lower_bound == 2.
def test_stab_generator_fixed_graph(): def test_stab_generator_fixed_graph():