it.cnr.istc.pst.platinum.ai.deliberative.solver.SearchSpaceNode.equals(Object) - Code Metrics - Inspection of "adding new flaw inspector" - pstlab/PLATINUm - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — master ( e49ba9...b59a28 )

by Alessandro

created 2022-01-03 10:15 UTC

equals(Object) A

↳ Parent: it.cnr.istc.pst.platinum.ai.deliberative.solver.SearchSpaceNode

Complexity

Conditions

Size

Total Lines	12
Code Lines	12

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	5
eloc	12
dl	0
loc	12
rs	9.3333
c	0
b	0
f	0

package it.cnr.istc.pst.platinum.ai.deliberative.solver;

import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.atomic.AtomicInteger;

import it.cnr.istc.pst.platinum.ai.framework.domain.component.Decision;
import it.cnr.istc.pst.platinum.ai.framework.domain.component.DomainComponent;
import it.cnr.istc.pst.platinum.ai.framework.domain.component.DomainComponentType;
import it.cnr.istc.pst.platinum.ai.framework.microkernel.lang.flaw.Flaw;
import it.cnr.istc.pst.platinum.ai.framework.microkernel.lang.flaw.FlawType;
import it.cnr.istc.pst.platinum.ai.framework.microkernel.lang.plan.Plan;

/**
 * 
 * @author anacleto
 *
 */
public class SearchSpaceNode implements Comparable<SearchSpaceNode> {
	
	private static final AtomicInteger ID_COUNTER = new AtomicInteger(0);
	
	private int id;												// node unique ID
	private List<Operator> operators;							// node generation trace
	
	private Map<DomainComponent, List<DecisionVariable>> plan;	// partial plan
 	private Map<DomainComponent, List<Flaw>> agenda; 			// flaws associated to the resulting partial plan
 	
 	// consolidated information about a partial plan 
 	private Map<DomainComponent, Double[]> makespan;				// consolidated makespan of SVs
 	private Map<DomainComponent, Double> cost;					// consolidated planning cost of SVs
 	
 	// heuristic information about a partial plan 
 	private Map<DomainComponent, Double[]> heuristicMakespan;		// estimated makespan of SVs
 	private Map<DomainComponent, Double[]> heuristicCost;			// estimated planning cost of SVs
 	
	private Object domainSpecificMetric;						// node domain specific metric
	
	/**
	 * 
	 */
	protected SearchSpaceNode() {
		// set node's id
		this.id = ID_COUNTER.getAndIncrement();
		// set operators
		this.operators = new ArrayList<>();
		// set agenda
		this.agenda = new HashMap<>();
		
		// set additional metric
		this.domainSpecificMetric = null;
		
		this.makespan = new HashMap<>();
		this.cost = new HashMap<>();
		this.heuristicMakespan = new HashMap<>();
		this.heuristicCost = new HashMap<>();
	}
	
	/**
	 * Create a child node generated by means of the specified operator
	 * 
	 * @param parent
	 * @param op
	 */
	protected SearchSpaceNode(SearchSpaceNode parent, Operator op) {
		this();
		// set operators
		this.operators = new ArrayList<>(parent.getOperators());
		// add generator
		this.operators.add(op);
		// set agenda
		this.agenda = new HashMap<>();
		
		// set additional metric
		this.domainSpecificMetric = null;
		
		// set cost
		this.cost = new HashMap<>(parent.getCost());
		// update cost according to the operator
		if (!this.cost.containsKey(op.getFlaw().getComponent())) {
			// set cost
			this.cost.put(op.getFlaw().getComponent(), op.getCost());
		}
		else {
			// update cost
			this.cost.put(op.getFlaw().getComponent(),
					this.cost.get(op.getFlaw().getComponent()) + op.getCost());
		}
		
		
		// set makespan 
		this.makespan = new HashMap<>();
		this.heuristicCost = new HashMap<>();
		this.heuristicMakespan = new HashMap<>();
	}
	
	
	/**
	 * 
	 * @return
	 */
	public int getId() {
		return id;
	}
	
	/**
	 * 
	 * @param metric
	 */
	public void setDomainSpecificMetric(Object metric) {
		this.domainSpecificMetric = metric;
	}
	
	/**
	 * 
	 * @return
	 */
	public Object getDomainSpecificMetric() {
		return domainSpecificMetric;
	}
	
	/**
	 * 
	 * @param flaw
	 * @return
	 */
	public void addCheckedFlaw(Flaw flaw) {
		if (!this.agenda.containsKey(flaw.getComponent())) {
			this.agenda.put(flaw.getComponent(), new ArrayList<>());
		}
		
		// add the flaw
		this.agenda.get(flaw.getComponent()).add(flaw);
	}
	
	/**
	 * 
	 * @return
	 */
	public Set<Flaw> getAgenda() {
		Set<Flaw> list = new HashSet<>();
		for (DomainComponent comp : this.agenda.keySet()) {

			list.addAll(this.agenda.get(comp));
		}
		
		return list;
	}
	
	/**
	 * 
	 * @return
	 */
	public Set<Flaw> getFlaws(FlawType type) {
		Set<Flaw> list = new HashSet<>();
		for (DomainComponent comp : this.agenda.keySet()) {

			for (Flaw flaw : this.agenda.get(comp)) {
				// check flaw type
				if (flaw.getType().equals(type)) {
					// add the flaw
					list.add(flaw);
				}
			}
		}
		
		return list;
	}
	
	/**
	 * 
	 * @return
	 */
	public int getNumberOfFlaws() {
		int number = 0;
		for (List<Flaw> list : this.agenda.values()) {
			number += list.size();
		}
		return number;
	}
	
	
	/**
	 * 
	 * @param comp
	 * @return
	 */
	public Set<Flaw> getFlaws(DomainComponent comp) {
		return new HashSet<>(this.agenda.get(comp));
	}
	
	/**
	 * 
	 * @return
	 */
	public int getDepth() {
		return this.operators.size();
	}
		
	/**
	 * 
	 * @return
	 */
	public Map<DomainComponent, Double[]> getHeuristicCost() {
		return new HashMap<>(this.heuristicCost);
	}
	
	/**
	 * 
	 * @param hCost
	 */
	public void setHeuristicCost(Map<DomainComponent, Double[]> hCost) {
		this.heuristicCost = hCost;
	}
	
	/**
	 * 
	 * @return
	 */
	public Map<DomainComponent, Double[]> getHeuristicMakespan() {
		return new HashMap<>(this.heuristicMakespan);
	}
	
	/**
	 * 
	 * @param makespanHeuristic
	 */
	public void setHeuristicMakespan(Map<DomainComponent, Double[]> hMakespan) {
		this.heuristicMakespan = hMakespan;
	}
	
	/**
	 * 
	 * @param partialPlan
	 */
	public void setPartialPlan(Plan partialPlan) 
	{
		// set the partial plan 
		this.plan = new HashMap<>();
		// set of components 
		Set<DomainComponent> cset = new HashSet<>();
		
		// check decisions
		for (Decision dec : partialPlan.getDecisions()) 
		{
			// add component entry 
			if (!this.plan.containsKey(dec.getComponent())) {
				// add entry 
				this.plan.put(dec.getComponent(), new ArrayList<>());
			}
			
			// add decision variable
			this.plan.get(dec.getComponent()).add(new DecisionVariable(dec));
			
			// check if primitive component
			if (dec.getComponent().getType().equals(DomainComponentType.SV_PRIMITIVE)) {
				// add component 
				cset.add(dec.getComponent());
			}
		}
		
		
		
		// set makespan 
		for (DomainComponent c : cset) 
		{
			// get component's decisions
			if (this.plan.containsKey(c) && !this.plan.get(c).isEmpty()) 
			{
				// check last decision
				DecisionVariable last = this.plan.get(c).get(0);
				for (int index = 1; index < this.plan.get(c).size(); index++) {
					// get current decision 
					DecisionVariable d = this.plan.get(c).get(index);
					
					// check if last
					if (d.getEnd()[0] > last.getEnd()[0]) {
						// update last decision
						last = d;
					}
				}
				
				
				
				// set component makespan according to end time bounds of the last decision
				this.makespan.put(c, new Double[] {
						(double) last.getEnd()[0],
						(double) last.getEnd()[1]
				});
			}
			else {
				// no decision 
				this.makespan.put(c, new Double[] {
					(double) 0,
					(double) 0
				});
			}
		}
	}
	
	/**
	 * 
	 * @return
	 */
	public Map<DomainComponent, List<DecisionVariable>> getPartialPlan() {
		// set the partial plan 
		return new HashMap<>(this.plan);
	}
	
	/**
	 * 
	 * @return
	 */
	public Map<DomainComponent, Double> getCost() {
		// get cost by components
		return new HashMap<>(this.cost);
	}
	
	/**
	 * 
	 * @return
	 */
	public double getPlanCost() {
		double cost = 0;

		for (DomainComponent c : this.cost.keySet()) {

			cost += this.cost.get(c);
		}
		
		return cost;
	}
	
	/**
	 * 
	 * @return
	 */
	public double[] getPlanHeuristicCost() {
		// set cost
		double[] cost = new double[] {

				0, 0
		};
		
		// set optimistic and pessimistic costs
		for (DomainComponent c : this.heuristicCost.keySet()) {

			cost[0] += this.heuristicCost.get(c)[0];
			cost[1] += this.heuristicCost.get(c)[1];
		}
		
		// get cost
		return cost;
	}
	
	/**
	 * Return the minimum and maximum makespan of the timelines of a plan
	 * 
	 * @return
	 */
	public double[] getPlanMakespan() {

		
		// set the makespan
		double[] mk = new double[] {
				Double.MIN_VALUE + 1,  
				Double.MAX_VALUE - 1
		};
		
		// set update flag
		boolean update = false;
		// compute makespan bounds
		for (DomainComponent c : this.makespan.keySet()) {

			// check primitive components only
			if (c.getType().equals(DomainComponentType.SV_PRIMITIVE)) {
				// update min and max
				mk[0] = Math.max(mk[0], this.makespan.get(c)[0]);
				// update max
				mk[1] = Math.min(mk[1], this.makespan.get(c)[1]);
				// change update flag
				update = true;
			}
		}
		
		// check update flag
		if (!update) {
			
			// set default data 
			mk = new double[] {
					0, 
					Double.MAX_VALUE - 1
			};
		}
		
		// get plan makespan 
		return mk;
	}
	
	/**
	 * 
	 * @return
	 */
	public double[] getPlanHeuristicMakespan() {

		
		// set heuristic makespan
		double[] mk = new double[] {
				Double.MAX_VALUE - 1,
				Double.MIN_VALUE + 1 
		};
		
		// set update flag
		boolean update = false;
		// check heuristic makespan bounds of components 
		for (DomainComponent c : this.heuristicMakespan.keySet()) {

			// consider primitive components only 
			if (c.getType().equals(DomainComponentType.SV_PRIMITIVE)) {
				// update min and max
				mk[0] = Math.min(mk[0], this.heuristicMakespan.get(c)[0]);
				// update max
				mk[1] = Math.max(mk[1], this.heuristicMakespan.get(c)[1]);
				// change update flag
				update = true;
			}
		}
		
		// check update flag
		if (!update) {
			// set default data 
			mk = new double[] {
					0, 
					Double.MAX_VALUE - 1
			};
		}
		
		// get plan makespan 
		return mk;
	}
	
	/**
	 * Compute the estimated makespan as the sum of the consolidated and heuristic makespan
	 * 
	 * @param component
	 * @return
	 */
	public double[] getEstimatedMakespan(DomainComponent component) {
		
		// set heuristic makespan
		double[] mk = new double[] {
				0,
				0
		};
		
		// check if component exists
		if (this.makespan.containsKey(component)) {
			// set consolidated lower bound
			mk[0] = this.makespan.get(component)[0];
			mk[1] = this.makespan.get(component)[1];
			
		}
		
		// add heuristic value
		if (this.heuristicMakespan.containsKey(component)) {
			// increment
			mk[0] += this.heuristicMakespan.get(component)[0];
			mk[1] += this.heuristicMakespan.get(component)[1];
		}

		// get makespan
		return mk;
	}
	
	/**
	 * 
	 * @return
	 */
	public Map<DomainComponent, Double[]> getEstimatedMakespan() {
		
		// set data
		Map<DomainComponent, Double[]> mk = new HashMap<>();
		
		// check components
		for (DomainComponent comp : this.makespan.keySet()) {

			
			// put consolidated minimum and maximum makespan
			mk.put(comp, new Double[] {
					this.makespan.get(comp)[0],
					this.makespan.get(comp)[1]
			});
		}
		
		// consider heuristic values
		for (DomainComponent comp : this.heuristicMakespan.keySet()) {

			
			// add heuristic values
			double min = mk.containsKey(comp) ? mk.get(comp)[0] : 0;
			double max = mk.containsKey(comp) ? mk.get(comp)[1] : 0;
			
			// add heuristic value
			mk.put(comp, new Double[] {
				min + this.heuristicMakespan.get(comp)[0],
				max + this.heuristicMakespan.get(comp)[1]
			});
		}
		
		// get data
		return mk;
	}
	
	/**
	 * 
	 * @return
	 */
	public Map<DomainComponent, Double[]> getMakespan() {
		return new HashMap<>(this.makespan);
	}
	
	/**
	 * Get the flaw that has been solved to generate the node 
	 * 
	 * @return
	 */
	public Flaw getGeneratingFlaw() {
		// verify whether the node is root
		return this.isRootNode() ? null : this.getGenerator().getFlaw();
	}
	
	/**
	 * Verify whether the node is root, i.e. not generator operator has been applied.
	 * 
	 * @return
	 */
	public boolean isRootNode() {
		// check if root node
		return this.getGenerator() == null;
	}
	
	/**
	 * The method returns the order list of operators that have been applied to generated the node. 
	 * 
	 * The last operator of the list is the node generator operator (i.e. the last applied operator).
	 * 
	 * @return
	 */
	public List<Operator> getOperators() {
		// get list of operators
		return new ArrayList<>(this.operators);
	}
	
	/**
	 * The method returns the node generator operator.
	 * 
	 * The method returns null for the root node of the search space
	 * 
	 * @return
	 */
	public Operator getGenerator() 
	{
		// get generator
		Operator operator = null;
		if (!this.operators.isEmpty()) {
			// get last applied operator
			operator = this.operators.get(this.operators.size() - 1);
		}
		
		// get generator operator
		return operator;
	}
	
	/**
	 * Get the list of applied operators from the more recent to the specified one (not included).
	 * 
	 * The method returns the list of operators that have been applied after the specified one starting with the more recent. The first
	 * element of the list is the node generator operator.
	 * 
	 * @param operator
	 * @return
	 */
	public List<Operator> getOperatorsUpTo(Operator operator) {
		// list of operators
		List<Operator> list = new ArrayList<>();
		if (operator == null) {
			// add all operators
			list.addAll(this.operators);
			// reverse order
			Collections.reverse(list);
		}
		else {
			// get index of the operator
			int index = this.operators.indexOf(operator);
			for (int i = this.operators.size() - 1; i > index; i--) {
				// add operator
				list.add(this.operators.get(i));
			}
		}
		// get list of operators
		return list;
	}
	
	/**
	 * Get the list of applied operators starting from the selected operator (not included).
	 * 
	 * The method returns the orderer list of operators that have been applied after the specified one. The 
	 * last operator of the list is the node generator operator.
	 * 
	 * 
	 * @param operator
	 * @return
	 */
	public List<Operator> getOperatorsFrom(Operator operator) {
		// list of operators
		List<Operator> list = new ArrayList<>();
		if (operator == null) {
			// add all operators
			list.addAll(this.operators);
		}
		else {
			// get index of the operator
			for (int index = this.operators.indexOf(operator) + 1; index < this.operators.size(); index++) {
				// add operator
				list.add(this.operators.get(index));
			}
		}
		// get list of operators
		return list;
	}
	
	/**
	 * 
	 */
	@Override
	public int hashCode() {
		final int prime = 31;
		int result = 1;
		result = prime * result + id;
		return result;
	}

	/**
	 * 
	 */
	@Override
	public boolean equals(Object obj) {
		if (this == obj)
			return true;
		if (obj == null)
			return false;
		if (getClass() != obj.getClass())
			return false;
		SearchSpaceNode other = (SearchSpaceNode) obj;
		if (id != other.id)
			return false;
		return true;
	}
	
	/**
	 * 
	 */
	@Override
	public int compareTo(SearchSpaceNode o) {
		// compare nodes by their ID
		return this.id < o.id ? -1 : this.id > o.id ? 1 : 0;
	}
	
	/**
	 * 
	 */
	@Override
	public String toString() {
		// JSON style description of node
		return "{ "
				+ "\"id\": " + this.id + ", "
				+ "\"depth\": " + this.getDepth() + ", "
				+ "\"cost\": " + this.getPlanCost() + ", "
				+ "\"makespan\": [" + this.getPlanMakespan()[0] + ", " + this.getPlanMakespan()[1] + "], "
				+ "\"heuristic-cost\": [" + this.getPlanHeuristicCost()[0] +", " + this.getPlanHeuristicCost()[1] + "], "
				+ "\"heuristic-makespan\": [" + this.getPlanHeuristicMakespan()[0] + ", " + this.getPlanHeuristicMakespan()[1] + "] "
				+ " }";
	}
}


1		package it.cnr.istc.pst.platinum.ai.deliberative.solver;
2
3		import java.util.ArrayList;
4		import java.util.Collections;
5		import java.util.HashMap;
6		import java.util.HashSet;
7		import java.util.List;
8		import java.util.Map;
9		import java.util.Set;
10		import java.util.concurrent.atomic.AtomicInteger;
11
12		import it.cnr.istc.pst.platinum.ai.framework.domain.component.Decision;
13		import it.cnr.istc.pst.platinum.ai.framework.domain.component.DomainComponent;
14		import it.cnr.istc.pst.platinum.ai.framework.domain.component.DomainComponentType;
15		import it.cnr.istc.pst.platinum.ai.framework.microkernel.lang.flaw.Flaw;
16		import it.cnr.istc.pst.platinum.ai.framework.microkernel.lang.flaw.FlawType;
17		import it.cnr.istc.pst.platinum.ai.framework.microkernel.lang.plan.Plan;
18
19		/**
20		*
21		* @author anacleto
22		*
23		*/
24		public class SearchSpaceNode implements Comparable<SearchSpaceNode> {
25
26		private static final AtomicInteger ID_COUNTER = new AtomicInteger(0);
27
28		private int id; // node unique ID
29		private List<Operator> operators; // node generation trace
30
31		private Map<DomainComponent, List<DecisionVariable>> plan; // partial plan
32		private Map<DomainComponent, List<Flaw>> agenda; // flaws associated to the resulting partial plan
33
34		// consolidated information about a partial plan
35		private Map<DomainComponent, Double[]> makespan; // consolidated makespan of SVs
36		private Map<DomainComponent, Double> cost; // consolidated planning cost of SVs
37
38		// heuristic information about a partial plan
39		private Map<DomainComponent, Double[]> heuristicMakespan; // estimated makespan of SVs
40		private Map<DomainComponent, Double[]> heuristicCost; // estimated planning cost of SVs
41
42		private Object domainSpecificMetric; // node domain specific metric
43
44		/**
45		*
46		*/
47		protected SearchSpaceNode() {
48		// set node's id
49		this.id = ID_COUNTER.getAndIncrement();
50		// set operators
51		this.operators = new ArrayList<>();
52		// set agenda
53		this.agenda = new HashMap<>();
54
55		// set additional metric
56		this.domainSpecificMetric = null;
57
58		this.makespan = new HashMap<>();
59		this.cost = new HashMap<>();
60		this.heuristicMakespan = new HashMap<>();
61		this.heuristicCost = new HashMap<>();
62		}
63
64		/**
65		* Create a child node generated by means of the specified operator
66		*
67		* @param parent
68		* @param op
69		*/
70		protected SearchSpaceNode(SearchSpaceNode parent, Operator op) {
71		this();
72		// set operators
73		this.operators = new ArrayList<>(parent.getOperators());
74		// add generator
75		this.operators.add(op);
76		// set agenda
77		this.agenda = new HashMap<>();
78
79		// set additional metric
80		this.domainSpecificMetric = null;
81
82		// set cost
83		this.cost = new HashMap<>(parent.getCost());
84		// update cost according to the operator
85		if (!this.cost.containsKey(op.getFlaw().getComponent())) {
86		// set cost
87		this.cost.put(op.getFlaw().getComponent(), op.getCost());
88		}
89		else {
90		// update cost
91		this.cost.put(op.getFlaw().getComponent(),
92		this.cost.get(op.getFlaw().getComponent()) + op.getCost());
93		}
94
95
96		// set makespan
97		this.makespan = new HashMap<>();
98		this.heuristicCost = new HashMap<>();
99		this.heuristicMakespan = new HashMap<>();
100		}
101
102
103		/**
104		*
105		* @return
106		*/
107		public int getId() {
108		return id;
109		}
110
111		/**
112		*
113		* @param metric
114		*/
115		public void setDomainSpecificMetric(Object metric) {
116		this.domainSpecificMetric = metric;
117		}
118
119		/**
120		*
121		* @return
122		*/
123		public Object getDomainSpecificMetric() {
124		return domainSpecificMetric;
125		}
126
127		/**
128		*
129		* @param flaw
130		* @return
131		*/
132		public void addCheckedFlaw(Flaw flaw) {
133		if (!this.agenda.containsKey(flaw.getComponent())) {
134		this.agenda.put(flaw.getComponent(), new ArrayList<>());
135		}
136
137		// add the flaw
138		this.agenda.get(flaw.getComponent()).add(flaw);
139		}
140
141		/**
142		*
143		* @return
144		*/
145		public Set<Flaw> getAgenda() {
146		Set<Flaw> list = new HashSet<>();
147		for (DomainComponent comp : this.agenda.keySet()) {
		0 ignored issues – show Performance introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
148		list.addAll(this.agenda.get(comp));
149		}
150
151		return list;
152		}
153
154		/**
155		*
156		* @return
157		*/
158		public Set<Flaw> getFlaws(FlawType type) {
159		Set<Flaw> list = new HashSet<>();
160		for (DomainComponent comp : this.agenda.keySet()) {
		0 ignored issues – show Performance introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
161		for (Flaw flaw : this.agenda.get(comp)) {
162		// check flaw type
163		if (flaw.getType().equals(type)) {
164		// add the flaw
165		list.add(flaw);
166		}
167		}
168		}
169
170		return list;
171		}
172
173		/**
174		*
175		* @return
176		*/
177		public int getNumberOfFlaws() {
178		int number = 0;
179		for (List<Flaw> list : this.agenda.values()) {
180		number += list.size();
181		}
182		return number;
183		}
184
185
186		/**
187		*
188		* @param comp
189		* @return
190		*/
191		public Set<Flaw> getFlaws(DomainComponent comp) {
192		return new HashSet<>(this.agenda.get(comp));
193		}
194
195		/**
196		*
197		* @return
198		*/
199		public int getDepth() {
200		return this.operators.size();
201		}
202
203		/**
204		*
205		* @return
206		*/
207		public Map<DomainComponent, Double[]> getHeuristicCost() {
208		return new HashMap<>(this.heuristicCost);
209		}
210
211		/**
212		*
213		* @param hCost
214		*/
215		public void setHeuristicCost(Map<DomainComponent, Double[]> hCost) {
216		this.heuristicCost = hCost;
217		}
218
219		/**
220		*
221		* @return
222		*/
223		public Map<DomainComponent, Double[]> getHeuristicMakespan() {
224		return new HashMap<>(this.heuristicMakespan);
225		}
226
227		/**
228		*
229		* @param makespanHeuristic
230		*/
231		public void setHeuristicMakespan(Map<DomainComponent, Double[]> hMakespan) {
232		this.heuristicMakespan = hMakespan;
233		}
234
235		/**
236		*
237		* @param partialPlan
238		*/
239		public void setPartialPlan(Plan partialPlan)
240		{
241		// set the partial plan
242		this.plan = new HashMap<>();
243		// set of components
244		Set<DomainComponent> cset = new HashSet<>();
245
246		// check decisions
247		for (Decision dec : partialPlan.getDecisions())
248		{
249		// add component entry
250		if (!this.plan.containsKey(dec.getComponent())) {
251		// add entry
252		this.plan.put(dec.getComponent(), new ArrayList<>());
253		}
254
255		// add decision variable
256		this.plan.get(dec.getComponent()).add(new DecisionVariable(dec));
257
258		// check if primitive component
259		if (dec.getComponent().getType().equals(DomainComponentType.SV_PRIMITIVE)) {
260		// add component
261		cset.add(dec.getComponent());
262		}
263		}
264
265
266
267		// set makespan
268		for (DomainComponent c : cset)
269		{
270		// get component's decisions
271		if (this.plan.containsKey(c) && !this.plan.get(c).isEmpty())
272		{
273		// check last decision
274		DecisionVariable last = this.plan.get(c).get(0);
275		for (int index = 1; index < this.plan.get(c).size(); index++) {
276		// get current decision
277		DecisionVariable d = this.plan.get(c).get(index);
278
279		// check if last
280		if (d.getEnd()[0] > last.getEnd()[0]) {
281		// update last decision
282		last = d;
283		}
284		}
285
286
287
288		// set component makespan according to end time bounds of the last decision
289		this.makespan.put(c, new Double[] {
290		(double) last.getEnd()[0],
291		(double) last.getEnd()[1]
292		});
293		}
294		else {
295		// no decision
296		this.makespan.put(c, new Double[] {
297		(double) 0,
298		(double) 0
299		});
300		}
301		}
302		}
303
304		/**
305		*
306		* @return
307		*/
308		public Map<DomainComponent, List<DecisionVariable>> getPartialPlan() {
309		// set the partial plan
310		return new HashMap<>(this.plan);
311		}
312
313		/**
314		*
315		* @return
316		*/
317		public Map<DomainComponent, Double> getCost() {
318		// get cost by components
319		return new HashMap<>(this.cost);
320		}
321
322		/**
323		*
324		* @return
325		*/
326		public double getPlanCost() {
327		double cost = 0;
		0 ignored issues – show Comprehensibility introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report The variable `cost`shadows a field with the same name declared in line 36. Consider renaming it. Loading history...
328		for (DomainComponent c : this.cost.keySet()) {
		0 ignored issues – show Performance introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
329		cost += this.cost.get(c);
330		}
331
332		return cost;
333		}
334
335		/**
336		*
337		* @return
338		*/
339		public double[] getPlanHeuristicCost() {
340		// set cost
341		double[] cost = new double[] {
		0 ignored issues – show Comprehensibility introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report The variable `cost`shadows a field with the same name declared in line 36. Consider renaming it. Loading history...
342		0, 0
343		};
344
345		// set optimistic and pessimistic costs
346		for (DomainComponent c : this.heuristicCost.keySet()) {
		0 ignored issues – show Performance introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
347		cost[0] += this.heuristicCost.get(c)[0];
348		cost[1] += this.heuristicCost.get(c)[1];
349		}
350
351		// get cost
352		return cost;
353		}
354
355		/**
356		* Return the minimum and maximum makespan of the timelines of a plan
357		*
358		* @return
359		*/
360	View Code Duplication	public double[] getPlanMakespan() {
		0 ignored issues – show Duplication introduced 2021-04-27 13:34 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
361
362		// set the makespan
363		double[] mk = new double[] {
364		Double.MIN_VALUE + 1,
365		Double.MAX_VALUE - 1
366		};
367
368		// set update flag
369		boolean update = false;
370		// compute makespan bounds
371		for (DomainComponent c : this.makespan.keySet()) {
		0 ignored issues – show Performance introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
372		// check primitive components only
373		if (c.getType().equals(DomainComponentType.SV_PRIMITIVE)) {
374		// update min and max
375		mk[0] = Math.max(mk[0], this.makespan.get(c)[0]);
376		// update max
377		mk[1] = Math.min(mk[1], this.makespan.get(c)[1]);
378		// change update flag
379		update = true;
380		}
381		}
382
383		// check update flag
384		if (!update) {
385
386		// set default data
387		mk = new double[] {
388		0,
389		Double.MAX_VALUE - 1
390		};
391		}
392
393		// get plan makespan
394		return mk;
395		}
396
397		/**
398		*
399		* @return
400		*/
401	View Code Duplication	public double[] getPlanHeuristicMakespan() {
		0 ignored issues – show Duplication introduced 2021-04-27 13:34 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
402
403		// set heuristic makespan
404		double[] mk = new double[] {
405		Double.MAX_VALUE - 1,
406		Double.MIN_VALUE + 1
407		};
408
409		// set update flag
410		boolean update = false;
411		// check heuristic makespan bounds of components
412		for (DomainComponent c : this.heuristicMakespan.keySet()) {
		0 ignored issues – show Performance introduced 2021-04-10 16:53 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
413		// consider primitive components only
414		if (c.getType().equals(DomainComponentType.SV_PRIMITIVE)) {
415		// update min and max
416		mk[0] = Math.min(mk[0], this.heuristicMakespan.get(c)[0]);
417		// update max
418		mk[1] = Math.max(mk[1], this.heuristicMakespan.get(c)[1]);
419		// change update flag
420		update = true;
421		}
422		}
423
424		// check update flag
425		if (!update) {
426		// set default data
427		mk = new double[] {
428		0,
429		Double.MAX_VALUE - 1
430		};
431		}
432
433		// get plan makespan
434		return mk;
435		}
436
437		/**
438		* Compute the estimated makespan as the sum of the consolidated and heuristic makespan
439		*
440		* @param component
441		* @return
442		*/
443		public double[] getEstimatedMakespan(DomainComponent component) {
444
445		// set heuristic makespan
446		double[] mk = new double[] {
447		0,
448		0
449		};
450
451		// check if component exists
452		if (this.makespan.containsKey(component)) {
453		// set consolidated lower bound
454		mk[0] = this.makespan.get(component)[0];
455		mk[1] = this.makespan.get(component)[1];
456
457		}
458
459		// add heuristic value
460		if (this.heuristicMakespan.containsKey(component)) {
461		// increment
462		mk[0] += this.heuristicMakespan.get(component)[0];
463		mk[1] += this.heuristicMakespan.get(component)[1];
464		}
465
466		// get makespan
467		return mk;
468		}
469
470		/**
471		*
472		* @return
473		*/
474		public Map<DomainComponent, Double[]> getEstimatedMakespan() {
475
476		// set data
477		Map<DomainComponent, Double[]> mk = new HashMap<>();
478
479		// check components
480		for (DomainComponent comp : this.makespan.keySet()) {
		0 ignored issues – show Performance introduced 2022-01-03 10:21 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
481
482		// put consolidated minimum and maximum makespan
483		mk.put(comp, new Double[] {
484		this.makespan.get(comp)[0],
485		this.makespan.get(comp)[1]
486		});
487		}
488
489		// consider heuristic values
490		for (DomainComponent comp : this.heuristicMakespan.keySet()) {
		0 ignored issues – show Performance introduced 2022-01-03 10:21 UTC by Report Bug Copy Issue Report When you need both the keys and the value of a Map, iterating over `entrySet()` instead of `keySet()` is more readable. Loading history...
491
492		// add heuristic values
493		double min = mk.containsKey(comp) ? mk.get(comp)[0] : 0;
494		double max = mk.containsKey(comp) ? mk.get(comp)[1] : 0;
495
496		// add heuristic value
497		mk.put(comp, new Double[] {
498		min + this.heuristicMakespan.get(comp)[0],
499		max + this.heuristicMakespan.get(comp)[1]
500		});
501		}
502
503		// get data
504		return mk;
505		}
506
507		/**
508		*
509		* @return
510		*/
511		public Map<DomainComponent, Double[]> getMakespan() {
512		return new HashMap<>(this.makespan);
513		}
514
515		/**
516		* Get the flaw that has been solved to generate the node
517		*
518		* @return
519		*/
520		public Flaw getGeneratingFlaw() {
521		// verify whether the node is root
522		return this.isRootNode() ? null : this.getGenerator().getFlaw();
523		}
524
525		/**
526		* Verify whether the node is root, i.e. not generator operator has been applied.
527		*
528		* @return
529		*/
530		public boolean isRootNode() {
531		// check if root node
532		return this.getGenerator() == null;
533		}
534
535		/**
536		* The method returns the order list of operators that have been applied to generated the node.
537		*
538		* The last operator of the list is the node generator operator (i.e. the last applied operator).
539		*
540		* @return
541		*/
542		public List<Operator> getOperators() {
543		// get list of operators
544		return new ArrayList<>(this.operators);
545		}
546
547		/**
548		* The method returns the node generator operator.
549		*
550		* The method returns null for the root node of the search space
551		*
552		* @return
553		*/
554		public Operator getGenerator()
555		{
556		// get generator
557		Operator operator = null;
558		if (!this.operators.isEmpty()) {
559		// get last applied operator
560		operator = this.operators.get(this.operators.size() - 1);
561		}
562
563		// get generator operator
564		return operator;
565		}
566
567		/**
568		* Get the list of applied operators from the more recent to the specified one (not included).
569		*
570		* The method returns the list of operators that have been applied after the specified one starting with the more recent. The first
571		* element of the list is the node generator operator.
572		*
573		* @param operator
574		* @return
575		*/
576		public List<Operator> getOperatorsUpTo(Operator operator) {
577		// list of operators
578		List<Operator> list = new ArrayList<>();
579		if (operator == null) {
580		// add all operators
581		list.addAll(this.operators);
582		// reverse order
583		Collections.reverse(list);
584		}
585		else {
586		// get index of the operator
587		int index = this.operators.indexOf(operator);
588		for (int i = this.operators.size() - 1; i > index; i--) {
589		// add operator
590		list.add(this.operators.get(i));
591		}
592		}
593		// get list of operators
594		return list;
595		}
596
597		/**
598		* Get the list of applied operators starting from the selected operator (not included).
599		*
600		* The method returns the orderer list of operators that have been applied after the specified one. The
601		* last operator of the list is the node generator operator.
602		*
603		*
604		* @param operator
605		* @return
606		*/
607		public List<Operator> getOperatorsFrom(Operator operator) {
608		// list of operators
609		List<Operator> list = new ArrayList<>();
610		if (operator == null) {
611		// add all operators
612		list.addAll(this.operators);
613		}
614		else {
615		// get index of the operator
616		for (int index = this.operators.indexOf(operator) + 1; index < this.operators.size(); index++) {
617		// add operator
618		list.add(this.operators.get(index));
619		}
620		}
621		// get list of operators
622		return list;
623		}
624
625		/**
626		*
627		*/
628		@Override
629		public int hashCode() {
630		final int prime = 31;
631		int result = 1;
632		result = prime * result + id;
633		return result;
634		}
635
636		/**
637		*
638		*/
639		@Override
640		public boolean equals(Object obj) {
641		if (this == obj)
642		return true;
643		if (obj == null)
644		return false;
645		if (getClass() != obj.getClass())
646		return false;
647		SearchSpaceNode other = (SearchSpaceNode) obj;
648		if (id != other.id)
649		return false;
650		return true;
651		}
652
653		/**
654		*
655		*/
656		@Override
657		public int compareTo(SearchSpaceNode o) {
658		// compare nodes by their ID
659		return this.id < o.id ? -1 : this.id > o.id ? 1 : 0;
660		}
661
662		/**
663		*
664		*/
665		@Override
666		public String toString() {
667		// JSON style description of node
668		return "{ "
669		+ "\"id\": " + this.id + ", "
670		+ "\"depth\": " + this.getDepth() + ", "
671		+ "\"cost\": " + this.getPlanCost() + ", "
672		+ "\"makespan\": [" + this.getPlanMakespan()[0] + ", " + this.getPlanMakespan()[1] + "], "
673		+ "\"heuristic-cost\": [" + this.getPlanHeuristicCost()[0] +", " + this.getPlanHeuristicCost()[1] + "], "
674		+ "\"heuristic-makespan\": [" + this.getPlanHeuristicMakespan()[0] + ", " + this.getPlanHeuristicMakespan()[1] + "] "
675		+ " }";
676		}
677		}
678

pstlab / PLATINUm

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