Dateien nach "ILP" hochladen
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@ -2,31 +2,31 @@ import gurobipy as gp
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from gurobipy import GRB, Model, quicksum
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from gurobipy import GRB, Model, quicksum
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HYPEREDGES = {
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HYPEREDGES = {
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1: ([], ["Xanthine"])
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1: ([], ['Xanthine']),
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2: (["Xanthine"], ["p_{0,0}"])
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2: (['Xanthine'], ['p_{0,0}']),
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3: (["Xanthine"], ["p_{0,1}"])
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3: (['Xanthine'], ['p_{0,1}']),
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4: (["Xanthine"], ["p_{0,2}"])
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4: (['Xanthine'], ['p_{0,2}']),
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5: (["p_{0,0}"], ["p_{0,3}"])
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5: (['p_{0,0}'], ['p_{0,3}']),
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6: (["p_{0,0}"], ["p_{0,4}"])
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6: (['p_{0,0}'], ['p_{0,4}']),
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7: (["p_{0,1}"], ["p_{0,3}"])
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7: (['p_{0,1}'], ['p_{0,3}']),
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8: (["p_{0,1}"], ["p_{0,5}"])
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8: (['p_{0,1}'], ['p_{0,5}']),
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9: (["p_{0,2}"], ["p_{0,4}"])
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9: (['p_{0,2}'], ['p_{0,4}']),
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10: (["p_{0,2}"], ["p_{0,5}"])
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10: (['p_{0,2}'], ['p_{0,5}']),
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11: (["p_{0,3}"], ["Caffeine"])
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11: (['p_{0,3}'], ['Caffeine']),
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12: (["p_{0,4}"], ["Caffeine"])
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12: (['p_{0,4}'], ['Caffeine']),
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13: (["p_{0,5}"], ["Caffeine"])
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13: (['p_{0,5}'], ['Caffeine']),
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14: (["Caffeine"], [])
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14: (['Caffeine'], [])
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}
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}
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#Similyrity of Nodes NMR to Measured NMR
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#Similyrity of Nodes NMR to Measured NMR
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VERTICES = {
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VERTICES = {
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1: ([0, 0], ["Xanthine"])
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1: ([0, 0], ['Xanthine']),
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2: ([0, 0], ["p_{0,0}"])
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2: ([0, 0], ['p_{0,0}']),
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3: ([0, 0], ["p_{0,1}"])
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3: ([0, 0], ['p_{0,1}']),
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4: ([1, 0], ["p_{0,2}"])
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4: ([1, 0], ['p_{0,2}']),
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5: ([0, 0], ["p_{0,3}"])
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5: ([0, 0], ['p_{0,3}']),
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6: ([0, 0], ["p_{0,4}"])
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6: ([0, 0], ['p_{0,4}']),
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7: ([0, 1], ["p_{0,5}"])
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7: ([0, 1], ['p_{0,5}']),
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8: ([0, 0], ["Caffeine"])
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8: ([0, 0], ['Caffeine']),
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}
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}
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FIXED_FLOWS = {
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FIXED_FLOWS = {
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1: 1,
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1: 1,
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@ -50,9 +50,8 @@ def build_model(name, hyperedges, vertices, excluded_support=None):
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model.addConstr(x[e_id] == value, name=f"fixed_flow_{e_id}")
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model.addConstr(x[e_id] == value, name=f"fixed_flow_{e_id}")
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for e_id in hyperedges:
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for e_id in hyperedges:
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model.addGenConstrIndicator(b[e_id], 0, x[e_id] == 0, name=f"unused_implies_zero_{e_id}")
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model.addGenConstrIndicator(b[e_id], 0, x[e_id] == 0, name=f"unused_implies_zero_{e_id}")
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model.addConstr(x[e_id] >= b[e_id], name=f"used_implies_positive_flow_{e_id}")
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model.addConstr(x[e_id] >= b[e_id], name=f"used_implies_positive_flow_{e_id}")
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if excluded_support:
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if excluded_support:
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model.addConstr(quicksum(b[e_id] for e_id in excluded_support) <= len(excluded_support) - 1, name="different_hyperedges",)
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model.addConstr(quicksum(b[e_id] for e_id in excluded_support) <= len(excluded_support) - 1, name="different_hyperedges",)
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@ -77,7 +76,7 @@ def print_solution(title, flow_solution, binary_solution, hyperedges):
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print(f"Number of used hyperedges: {len(binary_solution)}")
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print(f"Number of used hyperedges: {len(binary_solution)}")
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def main():
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def main():
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model, x, b = build_model("HypergraphFlow", HYPEREDGES, NODES)
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model, x, b = build_model("HypergraphFlow", HYPEREDGES, VERTICES)
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model.optimize()
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model.optimize()
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if model.status != GRB.Status.OPTIMAL:
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if model.status != GRB.Status.OPTIMAL:
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print("No optimal solution found for the first model.")
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print("No optimal solution found for the first model.")
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