1 : |
agomez |
1 |
#include "catchinkilos.h" |
2 : |
|
|
#include "readfunc.h" |
3 : |
|
|
#include "readword.h" |
4 : |
|
|
#include "readaggregation.h" |
5 : |
|
|
#include "errorhandler.h" |
6 : |
|
|
#include "areatime.h" |
7 : |
|
|
#include "fleet.h" |
8 : |
|
|
#include "stock.h" |
9 : |
|
|
#include "gadget.h" |
10 : |
|
|
#include "global.h" |
11 : |
|
|
|
12 : |
|
|
CatchInKilos::CatchInKilos(CommentStream& infile, const AreaClass* const Area,
|
13 : |
|
|
const TimeClass* const TimeInfo, double weight, const char* name)
|
14 : |
|
|
: Likelihood(CATCHINKILOSLIKELIHOOD, weight, name) {
|
15 : |
|
|
|
16 : |
|
|
int i, j;
|
17 : |
|
|
int numarea = 0;
|
18 : |
|
|
int readfile = 0;
|
19 : |
|
|
char text[MaxStrLength];
|
20 : |
|
|
char datafilename[MaxStrLength];
|
21 : |
|
|
char aggfilename[MaxStrLength];
|
22 : |
|
|
|
23 : |
|
|
strncpy(text, "", MaxStrLength);
|
24 : |
|
|
strncpy(datafilename, "", MaxStrLength);
|
25 : |
|
|
strncpy(aggfilename, "", MaxStrLength);
|
26 : |
|
|
ifstream datafile;
|
27 : |
|
|
CommentStream subdata(datafile);
|
28 : |
|
|
|
29 : |
|
|
functionname = new char[MaxStrLength];
|
30 : |
|
|
strncpy(functionname, "", MaxStrLength);
|
31 : |
|
|
readWordAndValue(infile, "datafile", datafilename);
|
32 : |
|
|
readWordAndValue(infile, "function", functionname);
|
33 : |
|
|
|
34 : |
|
|
yearly = 0;
|
35 : |
|
|
epsilon = 10.0;
|
36 : |
|
|
timeindex = 0;
|
37 : |
|
|
functionnumber = 0;
|
38 : |
|
|
if (strcasecmp(functionname, "sumofsquares") == 0)
|
39 : |
|
|
functionnumber = 1;
|
40 : |
|
|
else
|
41 : |
|
|
handle.logFileMessage(LOGFAIL, "\nError in catchinkilos - unrecognised function", functionname);
|
42 : |
|
|
|
43 : |
|
|
infile >> ws;
|
44 : |
|
|
char c = infile.peek();
|
45 : |
|
|
if ((c == 'a') || (c == 'A')) {
|
46 : |
|
|
//we have found either aggregationlevel or areaaggfile ...
|
47 : |
|
|
streampos pos = infile.tellg();
|
48 : |
|
|
|
49 : |
|
|
infile >> text >> ws;
|
50 : |
|
|
if ((strcasecmp(text, "aggregationlevel") == 0))
|
51 : |
|
|
infile >> yearly >> ws;
|
52 : |
|
|
else if (strcasecmp(text, "areaaggfile") == 0)
|
53 : |
|
|
infile.seekg(pos);
|
54 : |
|
|
else
|
55 : |
|
|
handle.logFileUnexpected(LOGFAIL, "areaaggfile", text);
|
56 : |
|
|
|
57 : |
|
|
//JMB - peek at the next char
|
58 : |
|
|
c = infile.peek();
|
59 : |
|
|
|
60 : |
|
|
if (yearly != 0 && yearly != 1)
|
61 : |
|
|
handle.logFileMessage(LOGFAIL, "\nError in catchinkilos - aggregationlevel must be 0 or 1");
|
62 : |
|
|
}
|
63 : |
|
|
|
64 : |
|
|
//JMB - changed to make the reading of epsilon optional
|
65 : |
|
|
c = infile.peek();
|
66 : |
|
|
if ((c == 'e') || (c == 'E')) {
|
67 : |
|
|
readWordAndVariable(infile, "epsilon", epsilon);
|
68 : |
|
|
if (epsilon < verysmall) {
|
69 : |
|
|
handle.logFileMessage(LOGWARN, "epsilon should be a positive number - set to default value 10");
|
70 : |
|
|
epsilon = 10.0;
|
71 : |
|
|
}
|
72 : |
|
|
}
|
73 : |
|
|
|
74 : |
|
|
readWordAndValue(infile, "areaaggfile", aggfilename);
|
75 : |
|
|
datafile.open(aggfilename, ios::in);
|
76 : |
|
|
handle.checkIfFailure(datafile, aggfilename);
|
77 : |
|
|
handle.Open(aggfilename);
|
78 : |
|
|
numarea = readAggregation(subdata, areas, areaindex);
|
79 : |
|
|
handle.Close();
|
80 : |
|
|
datafile.close();
|
81 : |
|
|
datafile.clear();
|
82 : |
|
|
|
83 : |
|
|
//Must change from outer areas to inner areas.
|
84 : |
|
|
for (i = 0; i < areas.Nrow(); i++)
|
85 : |
|
|
for (j = 0; j < areas.Ncol(i); j++)
|
86 : |
|
|
areas[i][j] = Area->getInnerArea(areas[i][j]);
|
87 : |
|
|
|
88 : |
|
|
//read in the fleetnames
|
89 : |
|
|
i = 0;
|
90 : |
|
|
infile >> text >> ws;
|
91 : |
|
|
if (strcasecmp(text, "fleetnames") != 0)
|
92 : |
|
|
handle.logFileUnexpected(LOGFAIL, "fleetnames", text);
|
93 : |
|
|
infile >> text >> ws;
|
94 : |
|
|
while (!infile.eof() && (strcasecmp(text, "stocknames") != 0)) {
|
95 : |
|
|
fleetnames.resize(new char[strlen(text) + 1]);
|
96 : |
|
|
strcpy(fleetnames[i++], text);
|
97 : |
|
|
infile >> text >> ws;
|
98 : |
|
|
}
|
99 : |
|
|
if (fleetnames.Size() == 0)
|
100 : |
|
|
handle.logFileMessage(LOGFAIL, "\nError in catchinkilos - failed to read fleets");
|
101 : |
|
|
handle.logMessage(LOGMESSAGE, "Read fleet data - number of fleets", fleetnames.Size());
|
102 : |
|
|
|
103 : |
|
|
//read in the stocknames
|
104 : |
|
|
i = 0;
|
105 : |
|
|
if (strcasecmp(text, "stocknames") != 0)
|
106 : |
|
|
handle.logFileUnexpected(LOGFAIL, "stocknames", text);
|
107 : |
|
|
infile >> text;
|
108 : |
|
|
while (!infile.eof() && (strcasecmp(text, "[component]") != 0)) {
|
109 : |
|
|
infile >> ws;
|
110 : |
|
|
stocknames.resize(new char[strlen(text) + 1]);
|
111 : |
|
|
strcpy(stocknames[i++], text);
|
112 : |
|
|
infile >> text;
|
113 : |
|
|
}
|
114 : |
|
|
if (stocknames.Size() == 0)
|
115 : |
|
|
handle.logFileMessage(LOGFAIL, "\nError in catchinkilos - failed to read stocks");
|
116 : |
|
|
handle.logMessage(LOGMESSAGE, "Read stock data - number of stocks", stocknames.Size());
|
117 : |
|
|
|
118 : |
|
|
//We have now read in all the data from the main likelihood file
|
119 : |
|
|
//But we have to read in the statistics data from datafilename
|
120 : |
|
|
datafile.open(datafilename, ios::in);
|
121 : |
|
|
handle.checkIfFailure(datafile, datafilename);
|
122 : |
|
|
handle.Open(datafilename);
|
123 : |
|
|
readCatchInKilosData(subdata, TimeInfo, numarea);
|
124 : |
|
|
handle.Close();
|
125 : |
|
|
datafile.close();
|
126 : |
|
|
datafile.clear();
|
127 : |
|
|
}
|
128 : |
|
|
|
129 : |
|
|
void CatchInKilos::Reset(const Keeper* const keeper) {
|
130 : |
|
|
Likelihood::Reset(keeper);
|
131 : |
|
|
if (isZero(weight))
|
132 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchinkilos - zero weight for", this->getName());
|
133 : |
|
|
modelDistribution.setToZero();
|
134 : |
|
|
if (handle.getLogLevel() >= LOGMESSAGE)
|
135 : |
|
|
handle.logMessage(LOGMESSAGE, "Reset catchinkilos component", this->getName());
|
136 : |
|
|
}
|
137 : |
|
|
|
138 : |
|
|
void CatchInKilos::Print(ofstream& outfile) const {
|
139 : |
|
|
int i;
|
140 : |
|
|
outfile << "\nCatch in Kilos " << this->getName() << " - likelihood value " << likelihood
|
141 : |
|
|
<< "\n\tFunction " << functionname;
|
142 : |
|
|
outfile << "\n\tStock names:";
|
143 : |
|
|
for (i = 0; i < stocknames.Size(); i++)
|
144 : |
|
|
outfile << sep << stocknames[i];
|
145 : |
|
|
outfile << "\n\tFleet names:";
|
146 : |
|
|
for (i = 0; i < fleetnames.Size(); i++)
|
147 : |
|
|
outfile << sep << fleetnames[i];
|
148 : |
|
|
outfile << endl;
|
149 : |
|
|
outfile.flush();
|
150 : |
|
|
}
|
151 : |
|
|
|
152 : |
|
|
double CatchInKilos::calcLikSumSquares(const TimeClass* const TimeInfo) {
|
153 : |
|
|
int r, a, f, p;
|
154 : |
|
|
double totallikelihood = 0.0;
|
155 : |
|
|
|
156 : |
|
|
for (r = 0; r < areas.Nrow(); r++) {
|
157 : |
|
|
likelihoodValues[timeindex][r] = 0.0;
|
158 : |
|
|
for (a = 0; a < areas.Ncol(r); a++)
|
159 : |
|
|
for (f = 0; f < predators.Size(); f++)
|
160 : |
|
|
for (p = 0; p < preyindex.Ncol(f); p++)
|
161 : |
|
|
modelDistribution[timeindex][r] += predators[f]->getConsumptionBiomass(preyindex[f][p], areas[r][a]);
|
162 : |
|
|
|
163 : |
|
|
if ((!yearly) || (TimeInfo->getStep() == TimeInfo->numSteps())) {
|
164 : |
|
|
likelihoodValues[timeindex][r] +=
|
165 : |
|
|
(log(modelDistribution[timeindex][r] + epsilon) - log(obsDistribution[timeindex][r] + epsilon))
|
166 : |
|
|
* (log(modelDistribution[timeindex][r] + epsilon) - log(obsDistribution[timeindex][r] + epsilon));
|
167 : |
|
|
|
168 : |
|
|
totallikelihood += likelihoodValues[timeindex][r];
|
169 : |
|
|
}
|
170 : |
|
|
}
|
171 : |
|
|
return totallikelihood;
|
172 : |
|
|
}
|
173 : |
|
|
|
174 : |
|
|
void CatchInKilos::addLikelihood(const TimeClass* const TimeInfo) {
|
175 : |
|
|
|
176 : |
|
|
if ((!(AAT.atCurrentTime(TimeInfo))) || (isZero(weight)))
|
177 : |
|
|
return;
|
178 : |
|
|
|
179 : |
|
|
if ((handle.getLogLevel() >= LOGMESSAGE) && ((!yearly) || (TimeInfo->getStep() == TimeInfo->numSteps())))
|
180 : |
|
|
handle.logMessage(LOGMESSAGE, "Calculating likelihood score for catchinkilos component", this->getName());
|
181 : |
|
|
|
182 : |
|
|
int i;
|
183 : |
|
|
if (yearly) {
|
184 : |
|
|
for (i = 0; i < Years.Size(); i++)
|
185 : |
|
|
if (Years[i] == TimeInfo->getYear())
|
186 : |
|
|
timeindex = i;
|
187 : |
|
|
} else {
|
188 : |
|
|
for (i = 0; i < Years.Size(); i++)
|
189 : |
|
|
if ((Years[i] == TimeInfo->getYear()) && (Steps[i] == TimeInfo->getStep()))
|
190 : |
|
|
timeindex = i;
|
191 : |
|
|
}
|
192 : |
|
|
|
193 : |
|
|
double l = 0.0;
|
194 : |
|
|
switch (functionnumber) {
|
195 : |
|
|
case 1:
|
196 : |
|
|
l = calcLikSumSquares(TimeInfo);
|
197 : |
|
|
break;
|
198 : |
|
|
default:
|
199 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchinkilos - unrecognised function", functionname);
|
200 : |
|
|
break;
|
201 : |
|
|
}
|
202 : |
|
|
|
203 : |
|
|
if ((!yearly) || (TimeInfo->getStep() == TimeInfo->numSteps())) {
|
204 : |
|
|
likelihood += l;
|
205 : |
|
|
if (handle.getLogLevel() >= LOGMESSAGE)
|
206 : |
|
|
handle.logMessage(LOGMESSAGE, "The likelihood score for this component on this timestep is", l);
|
207 : |
|
|
}
|
208 : |
|
|
}
|
209 : |
|
|
|
210 : |
|
|
CatchInKilos::~CatchInKilos() {
|
211 : |
|
|
int i;
|
212 : |
|
|
for (i = 0; i < stocknames.Size(); i++)
|
213 : |
|
|
delete[] stocknames[i];
|
214 : |
|
|
for (i = 0; i < fleetnames.Size(); i++)
|
215 : |
|
|
delete[] fleetnames[i];
|
216 : |
|
|
for (i = 0; i < areaindex.Size(); i++)
|
217 : |
|
|
delete[] areaindex[i];
|
218 : |
|
|
delete[] functionname;
|
219 : |
|
|
}
|
220 : |
|
|
|
221 : |
|
|
void CatchInKilos::setFleetsAndStocks(FleetPtrVector& Fleets, StockPtrVector& Stocks) {
|
222 : |
|
|
int i, j, k, found;
|
223 : |
|
|
StockPtrVector stocks;
|
224 : |
|
|
FleetPtrVector fleets;
|
225 : |
|
|
|
226 : |
|
|
for (i = 0; i < fleetnames.Size(); i++) {
|
227 : |
|
|
found = 0;
|
228 : |
|
|
for (j = 0; j < Fleets.Size(); j++) {
|
229 : |
|
|
if (strcasecmp(fleetnames[i], Fleets[j]->getName()) == 0) {
|
230 : |
|
|
found++;
|
231 : |
|
|
fleets.resize(Fleets[j]);
|
232 : |
|
|
}
|
233 : |
|
|
}
|
234 : |
|
|
if (found == 0)
|
235 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchinkilos - unrecognised fleet", fleetnames[i]);
|
236 : |
|
|
}
|
237 : |
|
|
|
238 : |
|
|
for (i = 0; i < fleets.Size(); i++)
|
239 : |
|
|
for (j = 0; j < fleets.Size(); j++)
|
240 : |
|
|
if ((strcasecmp(fleets[i]->getName(), fleets[j]->getName()) == 0) && (i != j))
|
241 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchinkilos - repeated fleet", fleets[i]->getName());
|
242 : |
|
|
|
243 : |
|
|
for (i = 0; i < stocknames.Size(); i++) {
|
244 : |
|
|
found = 0;
|
245 : |
|
|
for (j = 0; j < Stocks.Size(); j++) {
|
246 : |
|
|
if (Stocks[j]->isEaten()) {
|
247 : |
|
|
if (strcasecmp(stocknames[i], Stocks[j]->getName()) == 0) {
|
248 : |
|
|
found++;
|
249 : |
|
|
stocks.resize(Stocks[j]);
|
250 : |
|
|
}
|
251 : |
|
|
}
|
252 : |
|
|
}
|
253 : |
|
|
if (found == 0)
|
254 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchinkilos - unrecognised stock", stocknames[i]);
|
255 : |
|
|
}
|
256 : |
|
|
|
257 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
258 : |
|
|
for (j = 0; j < stocks.Size(); j++)
|
259 : |
|
|
if ((strcasecmp(stocks[i]->getName(), stocks[j]->getName()) == 0) && (i != j))
|
260 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchinkilos - repeated stock", stocks[i]->getName());
|
261 : |
|
|
|
262 : |
|
|
//check fleet and stock areas
|
263 : |
|
|
if (handle.getLogLevel() >= LOGWARN) {
|
264 : |
|
|
for (j = 0; j < areas.Nrow(); j++) {
|
265 : |
|
|
found = 0;
|
266 : |
|
|
for (i = 0; i < fleets.Size(); i++)
|
267 : |
|
|
for (k = 0; k < areas.Ncol(j); k++)
|
268 : |
|
|
if (fleets[i]->isInArea(areas[j][k]))
|
269 : |
|
|
found++;
|
270 : |
|
|
if (found == 0)
|
271 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchinkilos - fleet not defined on all areas");
|
272 : |
|
|
}
|
273 : |
|
|
|
274 : |
|
|
for (j = 0; j < areas.Nrow(); j++) {
|
275 : |
|
|
found = 0;
|
276 : |
|
|
for (i = 0; i < stocks.Size(); i++)
|
277 : |
|
|
for (k = 0; k < areas.Ncol(j); k++)
|
278 : |
|
|
if (stocks[i]->isInArea(areas[j][k]))
|
279 : |
|
|
found++;
|
280 : |
|
|
if (found == 0)
|
281 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchinkilos - stock not defined on all areas");
|
282 : |
|
|
}
|
283 : |
|
|
}
|
284 : |
|
|
|
285 : |
|
|
//JMB its simpler to just store pointers to the predators rather than the fleets
|
286 : |
|
|
for (i = 0; i < fleets.Size(); i++)
|
287 : |
|
|
predators.resize(fleets[i]->getPredator());
|
288 : |
|
|
|
289 : |
|
|
for (i = 0; i < predators.Size(); i++) {
|
290 : |
|
|
found = 0;
|
291 : |
|
|
preyindex.AddRows(1, 0, 0);
|
292 : |
|
|
for (j = 0; j < predators[i]->numPreys(); j++)
|
293 : |
|
|
for (k = 0; k < stocknames.Size(); k++)
|
294 : |
|
|
if (strcasecmp(stocknames[k], predators[i]->getPrey(j)->getName()) == 0) {
|
295 : |
|
|
found++;
|
296 : |
|
|
preyindex[i].resize(1, j);
|
297 : |
|
|
}
|
298 : |
|
|
|
299 : |
|
|
if (found == 0)
|
300 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchinkilos - found no stocks for fleet", fleetnames[i]);
|
301 : |
|
|
}
|
302 : |
|
|
}
|
303 : |
|
|
|
304 : |
|
|
void CatchInKilos::readCatchInKilosData(CommentStream& infile,
|
305 : |
|
|
const TimeClass* TimeInfo, int numarea) {
|
306 : |
|
|
|
307 : |
|
|
int i, year, step, count, reject;
|
308 : |
|
|
double tmpnumber = 0.0;
|
309 : |
|
|
char tmparea[MaxStrLength];
|
310 : |
|
|
char tmpfleet[MaxStrLength];
|
311 : |
|
|
strncpy(tmparea, "", MaxStrLength);
|
312 : |
|
|
strncpy(tmpfleet, "", MaxStrLength);
|
313 : |
|
|
int keepdata, timeid, areaid, fleetid, check;
|
314 : |
|
|
|
315 : |
|
|
//Check the number of columns in the inputfile
|
316 : |
|
|
infile >> ws;
|
317 : |
|
|
check = countColumns(infile);
|
318 : |
|
|
if (!(((yearly) && ((check == 4) || (check == 5))) || ((!yearly) && (check == 5))))
|
319 : |
|
|
handle.logFileMessage(LOGFAIL, "wrong number of columns in inputfile - should be 4 or 5");
|
320 : |
|
|
|
321 : |
|
|
step = 1; //default value in case there are only 4 columns in the datafile
|
322 : |
|
|
year = count = reject = 0;
|
323 : |
|
|
while (!infile.eof()) {
|
324 : |
|
|
keepdata = 1;
|
325 : |
|
|
if ((yearly) && (check == 4))
|
326 : |
|
|
infile >> year >> tmparea >> tmpfleet >> tmpnumber >> ws;
|
327 : |
|
|
else
|
328 : |
|
|
infile >> year >> step >> tmparea >> tmpfleet >> tmpnumber >> ws;
|
329 : |
|
|
|
330 : |
|
|
//crude check to see if something has gone wrong and avoid infinite loops
|
331 : |
|
|
if (strlen(tmparea) == 0)
|
332 : |
|
|
handle.logFileMessage(LOGFAIL, "failed to read data from file");
|
333 : |
|
|
|
334 : |
|
|
//if tmparea is in areaindex find areaid, else dont keep the data
|
335 : |
|
|
areaid = -1;
|
336 : |
|
|
for (i = 0; i < areaindex.Size(); i++)
|
337 : |
|
|
if (strcasecmp(areaindex[i], tmparea) == 0)
|
338 : |
|
|
areaid = i;
|
339 : |
|
|
|
340 : |
|
|
if (areaid == -1)
|
341 : |
|
|
keepdata = 0;
|
342 : |
|
|
|
343 : |
|
|
//if tmpfleet is a required fleet keep the data, else ignore it
|
344 : |
|
|
fleetid = -1;
|
345 : |
|
|
for (i = 0; i < fleetnames.Size(); i++)
|
346 : |
|
|
if (strcasecmp(fleetnames[i], tmpfleet) == 0)
|
347 : |
|
|
fleetid = i;
|
348 : |
|
|
|
349 : |
|
|
if (fleetid == -1)
|
350 : |
|
|
keepdata = 0;
|
351 : |
|
|
|
352 : |
|
|
//check if the year and step are in the simulation
|
353 : |
|
|
timeid = -1;
|
354 : |
|
|
if ((TimeInfo->isWithinPeriod(year, step)) && (keepdata == 1)) {
|
355 : |
|
|
//if this is a new timestep, resize to store the data
|
356 : |
|
|
for (i = 0; i < Years.Size(); i++)
|
357 : |
|
|
if ((Years[i] == year) && (yearly || (Steps[i] == step)))
|
358 : |
|
|
timeid = i;
|
359 : |
|
|
|
360 : |
|
|
if (timeid == -1) {
|
361 : |
|
|
Years.resize(1, year);
|
362 : |
|
|
if (!(yearly))
|
363 : |
|
|
Steps.resize(1, step);
|
364 : |
|
|
timeid = (Years.Size() - 1);
|
365 : |
|
|
obsDistribution.AddRows(1, numarea, 0.0);
|
366 : |
|
|
modelDistribution.AddRows(1, numarea, 0.0);
|
367 : |
|
|
likelihoodValues.AddRows(1, numarea, 0.0);
|
368 : |
|
|
}
|
369 : |
|
|
|
370 : |
|
|
} else
|
371 : |
|
|
keepdata = 0;
|
372 : |
|
|
|
373 : |
|
|
if (keepdata == 1) {
|
374 : |
|
|
//distribution data is required, so store it
|
375 : |
|
|
count++;
|
376 : |
|
|
//note that we use += to sum the data over all fleets (and possibly time)
|
377 : |
|
|
obsDistribution[timeid][areaid] += tmpnumber;
|
378 : |
|
|
} else
|
379 : |
|
|
reject++; //count number of rejected data points read from file
|
380 : |
|
|
}
|
381 : |
|
|
|
382 : |
|
|
if (yearly)
|
383 : |
|
|
AAT.addActionsAllSteps(Years, TimeInfo);
|
384 : |
|
|
else
|
385 : |
|
|
AAT.addActions(Years, Steps, TimeInfo);
|
386 : |
|
|
|
387 : |
|
|
if (count == 0)
|
388 : |
|
|
handle.logMessage(LOGWARN, "Warning in catchinkilos - found no data in the data file for", this->getName());
|
389 : |
|
|
if (reject != 0)
|
390 : |
|
|
handle.logMessage(LOGMESSAGE, "Discarded invalid catchinkilos data - number of invalid entries", reject);
|
391 : |
|
|
handle.logMessage(LOGMESSAGE, "Read catchinkilos data file - number of entries", count);
|
392 : |
|
|
}
|
393 : |
|
|
|
394 : |
|
|
void CatchInKilos::printLikelihood(ofstream& outfile, const TimeClass* const TimeInfo) {
|
395 : |
|
|
if (!AAT.atCurrentTime(TimeInfo))
|
396 : |
|
|
return;
|
397 : |
|
|
|
398 : |
|
|
if ((yearly) && (TimeInfo->getStep() != TimeInfo->numSteps()))
|
399 : |
|
|
return; //if data is aggregated into years then we need the last timestep
|
400 : |
|
|
|
401 : |
|
|
int i, area, age, len;
|
402 : |
|
|
timeindex = -1;
|
403 : |
|
|
if (yearly) {
|
404 : |
|
|
for (i = 0; i < Years.Size(); i++)
|
405 : |
|
|
if (Years[i] == TimeInfo->getYear())
|
406 : |
|
|
timeindex = i;
|
407 : |
|
|
} else {
|
408 : |
|
|
for (i = 0; i < Years.Size(); i++)
|
409 : |
|
|
if ((Years[i] == TimeInfo->getYear()) && (Steps[i] == TimeInfo->getStep()))
|
410 : |
|
|
timeindex = i;
|
411 : |
|
|
}
|
412 : |
|
|
|
413 : |
|
|
if (timeindex == -1)
|
414 : |
|
|
handle.logMessage(LOGFAIL, "Error in catchinkilos - invalid timestep");
|
415 : |
|
|
|
416 : |
|
|
for (area = 0; area < modelDistribution.Ncol(timeindex); area++) {
|
417 : |
|
|
if (yearly)
|
418 : |
|
|
outfile << setw(lowwidth) << Years[timeindex] << " all "
|
419 : |
|
|
<< setw(printwidth) << areaindex[area];
|
420 : |
|
|
else
|
421 : |
|
|
outfile << setw(lowwidth) << Years[timeindex] << sep << setw(lowwidth)
|
422 : |
|
|
<< Steps[timeindex] << sep << setw(printwidth) << areaindex[area];
|
423 : |
|
|
|
424 : |
|
|
if (fleetnames.Size() == 1)
|
425 : |
|
|
outfile << sep << setw(printwidth) << fleetnames[0] << sep;
|
426 : |
|
|
else
|
427 : |
|
|
outfile << " all ";
|
428 : |
|
|
|
429 : |
|
|
//JMB crude filter to remove the 'silly' values from the output
|
430 : |
|
|
if (modelDistribution[timeindex][area] < rathersmall)
|
431 : |
|
|
outfile << setw(largewidth) << 0 << endl;
|
432 : |
|
|
else
|
433 : |
|
|
outfile << setprecision(largeprecision) << setw(largewidth)
|
434 : |
|
|
<< modelDistribution[timeindex][area] << endl;
|
435 : |
|
|
}
|
436 : |
|
|
}
|
437 : |
|
|
|
438 : |
|
|
void CatchInKilos::printSummary(ofstream& outfile) {
|
439 : |
|
|
int year, area;
|
440 : |
|
|
|
441 : |
|
|
for (year = 0; year < likelihoodValues.Nrow(); year++) {
|
442 : |
|
|
for (area = 0; area < likelihoodValues.Ncol(year); area++) {
|
443 : |
|
|
if (yearly) {
|
444 : |
|
|
outfile << setw(lowwidth) << Years[year] << " all "
|
445 : |
|
|
<< setw(printwidth) << areaindex[area] << sep
|
446 : |
|
|
<< setw(largewidth) << this->getName() << sep << setprecision(smallprecision)
|
447 : |
|
|
<< setw(smallwidth) << weight << sep << setprecision(largeprecision)
|
448 : |
|
|
<< setw(largewidth) << likelihoodValues[year][area] << endl;
|
449 : |
|
|
} else {
|
450 : |
|
|
outfile << setw(lowwidth) << Years[year] << sep << setw(lowwidth)
|
451 : |
|
|
<< Steps[year] << sep << setw(printwidth) << areaindex[area] << sep
|
452 : |
|
|
<< setw(largewidth) << this->getName() << sep << setprecision(smallprecision)
|
453 : |
|
|
<< setw(smallwidth) << weight << sep << setprecision(largeprecision)
|
454 : |
|
|
<< setw(largewidth) << likelihoodValues[year][area] << endl;
|
455 : |
|
|
}
|
456 : |
|
|
}
|
457 : |
|
|
}
|
458 : |
|
|
outfile.flush();
|
459 : |
|
|
}
|