1 | package PIANOS.datastructures; |
2 | import java.util.LinkedList; |
3 | |
4 | |
5 | /** A representation for a stochastic or functional variable/parameter in a statistical PIANOS model. |
6 | |
7 | @author Group Linja |
8 | */ |
9 | public class Variable{ |
10 | |
11 | private String name; |
12 | private String algorithm; |
13 | private String proposalStrategy; |
14 | |
15 | private Distribution proposal; |
16 | private Distribution distribution; |
17 | private Equation equation; |
18 | |
19 | private LinkedList<Variable> affects; |
20 | private LinkedList<Variable> depends; |
21 | private Entity belongsTo; |
22 | |
23 | private int column; |
24 | private int missingValues; |
25 | private int updates; |
26 | |
27 | private boolean data; |
28 | private boolean functional; |
29 | private boolean spatial; |
30 | private boolean typeInteger; |
31 | private boolean printed; |
32 | |
33 | /** Constructs a new Variable from scratch, ready to take in field values. |
34 | */ |
35 | public Variable (){ |
36 | distribution = null; |
37 | printed = false; |
38 | typeInteger = false; |
39 | missingValues = 0; |
40 | column = -1; |
41 | proposalStrategy = null; |
42 | affects = new LinkedList<Variable>(); |
43 | depends = new LinkedList<Variable>(); |
44 | spatial = false; |
45 | } |
46 | |
47 | /** |
48 | @return A list of Variables this variable affects in the model. |
49 | */ |
50 | public LinkedList<Variable> getAffectsList (){ |
51 | return affects; |
52 | } |
53 | |
54 | /** |
55 | Adds a new Variable at the end of the list of Variables that this Variable affects. |
56 | */ |
57 | public void addAffected (Variable variable){ |
58 | affects.add(variable); |
59 | } |
60 | |
61 | /** |
62 | @return a list of Variables that this Variable depends on. |
63 | */ |
64 | public LinkedList<Variable> getDependsList (){ |
65 | return depends; |
66 | } |
67 | |
68 | /** |
69 | Adds a new Variable at the end of the list of Variables that this Variables depends on. |
70 | */ |
71 | public void addDependence (Variable variable){ |
72 | depends.add(variable); |
73 | } |
74 | |
75 | /** |
76 | @return the update algorithm used for this Variable (currently not implemented), defaults to M-H |
77 | */ |
78 | public String getAlgorithm (){ |
79 | return algorithm; |
80 | } |
81 | |
82 | /** (currently not implemented) This will set the update algorithm for this Variable. |
83 | Choices would include Metropolis-Hastings and Gibbs sampling. |
84 | */ |
85 | public void setAlgorithm (String algorithm){ |
86 | this.algorithm = algorithm; |
87 | } |
88 | |
89 | /** |
90 | @return the column number for the variable if it is found in data, or -1 if the variable spans the whole |
91 | data matrix (and as such all the columns) |
92 | */ |
93 | public int getColumn (){ |
94 | return column; |
95 | } |
96 | |
97 | /** |
98 | Sets the data column number for the Variable (See getColumn()) |
99 | */ |
100 | public void setColumn (int column){ |
101 | this.column = column; |
102 | } |
103 | |
104 | /** |
105 | @return if this Variable can be found in the data of this model. |
106 | */ |
107 | public boolean isData (){ |
108 | return data; |
109 | } |
110 | |
111 | /** |
112 | @param data set this to true if the Variable is found in data. |
113 | */ |
114 | public void setData(boolean data) { |
115 | this.data = data; |
116 | } |
117 | |
118 | /** |
119 | @return The Equation used for this Variable if it is functional (see Equation) |
120 | */ |
121 | public Equation getEquation (){ |
122 | return equation; |
123 | } |
124 | |
125 | public void setEquation (Equation equation){ |
126 | this.equation = equation; |
127 | } |
128 | |
129 | /** |
130 | @return The Distribution used for this Variable if it is stochastic (not functional) (see Distribution) |
131 | */ |
132 | public Distribution getDistribution (){ |
133 | return distribution; |
134 | } |
135 | |
136 | public void setDistribution (Distribution distribution){ |
137 | this.distribution = distribution; |
138 | } |
139 | |
140 | /** |
141 | @return true if this Variable is functional. |
142 | */ |
143 | public boolean isFunctional (){ |
144 | return functional; |
145 | } |
146 | |
147 | public void setFunctional (boolean functional){ |
148 | this.functional = functional; |
149 | } |
150 | |
151 | /** |
152 | @return true if this Variable is a functional variable that has an expression |
153 | that consists of the SUM or COUNT statements and a spatial dependence in them, such as |
154 | COUNT(&x) |
155 | */ |
156 | public boolean isSpatial (){ |
157 | return spatial; |
158 | } |
159 | |
160 | public void setSpatial (boolean spatial){ |
161 | this.spatial = spatial; |
162 | } |
163 | |
164 | /** |
165 | @return The name used in the model for this variable and to be used in the Fortran program. |
166 | */ |
167 | public String getName (){ |
168 | return name; |
169 | } |
170 | |
171 | public void setName (String name){ |
172 | this.name = name; |
173 | } |
174 | |
175 | /** |
176 | Sets the proposal Distribution for this variable (see the manual) |
177 | */ |
178 | public void setProposal (Distribution proposal){ |
179 | this.proposal = proposal; |
180 | } |
181 | |
182 | public Distribution getProposal(){ |
183 | return proposal; |
184 | } |
185 | |
186 | /** |
187 | Sets the update strategy for this variable {sequential, random} |
188 | */ |
189 | public void setStrategy (String strategy){ |
190 | this.proposalStrategy = strategy; |
191 | } |
192 | |
193 | public String getStrategy (){ |
194 | return proposalStrategy; |
195 | } |
196 | |
197 | /** |
198 | Sets the number of updates this variable should have before end of simulation. |
199 | */ |
200 | public void setUpdates (int updates){ |
201 | this.updates = updates; |
202 | } |
203 | |
204 | public int getUpdates (){ |
205 | return updates; |
206 | } |
207 | |
208 | /** |
209 | @return How many missing values this variable has (if it's a data variable that has missing values), |
210 | otherwise returns 0. |
211 | */ |
212 | public int getMissingValueCount (){ |
213 | return missingValues; |
214 | } |
215 | |
216 | /** |
217 | Adds one to the number of missing values. Used by the Parser. |
218 | */ |
219 | public void incrementMissingValues (){ |
220 | missingValues++; |
221 | } |
222 | |
223 | /** |
224 | @return true if this variable should have integer values. |
225 | */ |
226 | public boolean isInteger (){ |
227 | return typeInteger; |
228 | } |
229 | |
230 | public void setType (boolean typeInteger){ |
231 | this.typeInteger = typeInteger; |
232 | } |
233 | |
234 | /** |
235 | @return The entity this Variable belongs to. |
236 | */ |
237 | public Entity getEntity (){ |
238 | return belongsTo; |
239 | } |
240 | |
241 | public void setEntity (Entity belongsTo){ |
242 | this.belongsTo = belongsTo; |
243 | } |
244 | |
245 | /** |
246 | Sets that this Variable should be printed. |
247 | */ |
248 | public void setPrinted (){ |
249 | printed = true; |
250 | } |
251 | |
252 | public boolean isPrinted (){ |
253 | return printed; |
254 | } |
255 | |
256 | /** |
257 | Runs this Variable through a health check. Returns true if it is alright. Called by the parser at end of reading. |
258 | @return true if this variable is valid. |
259 | */ |
260 | public boolean isOk (){ |
261 | if (data && missingValues > 0 && proposal == null) |
262 | return false; |
263 | if (data && missingValues > 0 && distribution == null) |
264 | return false; |
265 | if (!functional && !data && proposal == null) |
266 | return false; |
267 | if (functional && equation == null) |
268 | return false; |
269 | if (!functional && !data && distribution == null) |
270 | return false; |
271 | |
272 | if (belongsTo != null && !belongsTo.isMatrix()){ |
273 | for (Variable var : affects){ |
274 | |
275 | if (var.getEntity() == null){ |
276 | //One dimensional affects a global |
277 | System.out.println("one-dimensional affects a global"); |
278 | return false; |
279 | } |
280 | if (!var.getEntity().isMatrix() && var.getEntity() != belongsTo){ |
281 | //Affected is one dimensional and the entity is not the same as the one this variable belongs to |
282 | System.out.println("one-dimensional affects another one-dimensional in a different entity"); |
283 | return false; |
284 | } |
285 | if (var.getEntity().isMatrix()) |
286 | //Affected is a matrix |
287 | if (var.getEntity().getXCoordinate() != belongsTo && var.getEntity().getYCoordinate() != belongsTo){ |
288 | //This variable's entity isn't either X or Y coordinate of the matrix |
289 | System.out.println("one-dimensional affects an independent intersection"); |
290 | return false; |
291 | } |
292 | } |
293 | |
294 | }else if (belongsTo != null && belongsTo.isMatrix()){ |
295 | for (Variable var : affects){ |
296 | |
297 | if (var.getEntity() == null){ |
298 | //Matrix affects a global |
299 | System.out.println("Two-dim affects a global"); |
300 | return false; |
301 | } |
302 | if (!var.getEntity().isMatrix()){ |
303 | //Affected is one dimensional |
304 | System.out.println("Intersection variable "+ this +" affects the one-dimensional variable "+ var); |
305 | return false; |
306 | } |
307 | if (var.getEntity().isMatrix() && var.getEntity() != belongsTo){ |
308 | //Affected is a matrix and the entity is not the same as the one this variable belongs to |
309 | System.out.println("two-dim affects an independent intersection"); |
310 | return false; |
311 | } |
312 | } |
313 | } |
314 | |
315 | //Check that spatial matrix exists |
316 | if (spatial){ |
317 | |
318 | if (belongsTo == null) |
319 | //Global variable can not be spatial |
320 | return false; |
321 | |
322 | if (!belongsTo.isMatrix() && !isSpatial()) |
323 | //Variable is one dimensional, but the Entity doesn't have a spatial matrix |
324 | return false; |
325 | |
326 | if (belongsTo.isMatrix()) |
327 | //Matrix... |
328 | if (!belongsTo.getXCoordinate().isSpatial() && !belongsTo.getYCoordinate().isSpatial()) |
329 | //Neither the X or Y cordinate is spatial |
330 | return false; |
331 | } |
332 | |
333 | return true; |
334 | } |
335 | |
336 | /** Prints a limited amount of information about this Variable similar to a model |
337 | file variable definition line. |
338 | */ |
339 | public String toString(){ |
340 | String toReturn = ""; |
341 | if (this.isInteger()) |
342 | toReturn += "INTEGER "; |
343 | else |
344 | toReturn += "REAL "; |
345 | |
346 | toReturn += this.getName(); |
347 | if (this.isData()){ |
348 | toReturn += "("; |
349 | if (this.getColumn() != -1) |
350 | toReturn += this.getColumn(); |
351 | else |
352 | toReturn += "*"; |
353 | toReturn += ")"; |
354 | } |
355 | if (this.isFunctional()){ |
356 | toReturn += " = "; |
357 | toReturn += this.getEquation(); |
358 | }else{ |
359 | if (this.getDistribution() != null){ |
360 | toReturn += " ~ "; |
361 | toReturn += this.getDistribution(); |
362 | } |
363 | else if (this.isData()){ |
364 | toReturn += " is plain data"; |
365 | }else |
366 | toReturn += " is not data, stochastic or functional ???"; |
367 | } |
368 | |
369 | if (!this.isFunctional()){ |
370 | if (this.getProposal() != null){ |
371 | toReturn += " proposal distribution: " + this.getProposal(); |
372 | }else |
373 | toReturn += " no proposal distribution "; |
374 | } |
375 | |
376 | if (this.isPrinted()) |
377 | toReturn += ", is printed"; |
378 | |
379 | if (this.getUpdates() != 0) |
380 | toReturn += ", updates=" + this.getUpdates(); |
381 | |
382 | if (this.getMissingValueCount() != 0) |
383 | toReturn += ", " + this.getMissingValueCount() + " missing values"; |
384 | |
385 | return toReturn; |
386 | } |
387 | |
388 | } |