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ConvertTight: Detect and fix infeasibility
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@@ -32,11 +32,15 @@ class ConvertTightIneqsIntoEqsStep(Component):
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classifier=CountingClassifier(),
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threshold=0.95,
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slack_tolerance=0.0,
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check_converted=False,
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):
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self.classifiers = {}
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self.classifier_prototype = classifier
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self.threshold = threshold
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self.slack_tolerance = slack_tolerance
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self.check_converted = check_converted
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self.converted = []
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self.original_sense = {}
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def before_solve(self, solver, instance, _):
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logger.info("Predicting tight LP constraints...")
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@@ -47,14 +51,15 @@ class ConvertTightIneqsIntoEqsStep(Component):
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return_constraints=True,
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)
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y = self.predict(x)
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n_converted = 0
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for category in y.keys():
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for i in range(len(y[category])):
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if y[category][i][0] == 1:
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cid = constraints[category][i]
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s = solver.internal_solver.get_constraint_sense(cid)
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self.original_sense[cid] = s
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solver.internal_solver.set_constraint_sense(cid, "=")
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n_converted += 1
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logger.info(f"Converted {n_converted} inequalities into equalities")
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self.converted += [cid]
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logger.info(f"Converted {len(self.converted)} inequalities")
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def after_solve(self, solver, instance, model, results):
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instance.slacks = solver.internal_solver.get_inequality_slacks()
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@@ -152,3 +157,23 @@ class ConvertTightIneqsIntoEqsStep(Component):
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else:
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tn += 1
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return classifier_evaluation_dict(tp, tn, fp, fn)
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def iteration_cb(self, solver, instance, model):
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if not self.check_converted:
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return False
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logger.debug("Checking converted inequalities...")
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restored = []
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if solver.internal_solver.is_infeasible():
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for cid in self.converted:
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f = solver.internal_solver.get_farkas_dual(cid)
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if abs(f) > 0:
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s = self.original_sense[cid]
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solver.internal_solver.set_constraint_sense(cid, s)
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restored += [cid]
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for cid in restored:
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self.converted.remove(cid)
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if len(restored) > 0:
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logger.info(f"Restored {len(restored)} inequalities")
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return True
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else:
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return False
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