🚨 Lint

PatrickOHara · Nov 27, 2020 · 23b6006 · 23b6006
1 parent 4b20412
commit 23b6006
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diff --git a/tests/test_profits_problem.py b/tests/test_profits_problem.py
@@ -26,8 +26,6 @@ def test_get_cost_limit(oplib_root, generation, instance_name, alpha):
         oplib_root, generation, instance_name, alpha=alpha
     )
     problem = ProfitsProblem.load(filepath)
-    # total_cost = sum([problem.get_weight(source, target) for source, target in problem.get_edges()])
-
     expected_cost_limit = math.ceil(
         OptimalSolutionTSP[instance_name] * (alpha.value / 100.0)
     )

diff --git a/tspwplib/problem.py b/tspwplib/problem.py
@@ -13,7 +13,6 @@ class ProfitsProblem(tsplib95.models.StandardProblem):
     node_score = tsplib95.fields.DemandsField("NODE_SCORE_SECTION")
     # The optimal solution to the TSP
     tspsol = tsplib95.fields.IntegerField("TSPSOL")
-    # TODO add profit limit for PcTSP
 
     def get_cost_limit(self) -> int:
         """Get the cost limit for a TSP with Profits problem
@@ -29,7 +28,6 @@ def get_node_score(self) -> Dict[int, int]:
         Returns:
             Mapping from node to node score (profit)
         """
-        # TODO
 
     def get_tsp_optimal_value(self) -> int:
         """Get the value of the optimal solution to TSP