1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367
|
/**
*
*/
package beagle;
import java.util.*;
import java.util.logging.Logger;
/**
* @author Marc Suchard
* @author Andrew Rambaut
*
*/
public class BeagleFactory {
private static Map<Integer, ResourceDetails> resourceDetailsMap = new HashMap<Integer, ResourceDetails>();
public static String getVersionInformation() {
getBeagleJNIWrapper();
if (BeagleJNIWrapper.INSTANCE != null) {
try {
return BeagleJNIWrapper.INSTANCE.getCitation();
} catch (UnsatisfiedLinkError ule) {
// If this method is not available then we must be linked to a v1.x BEAGLE library
return "Using BEAGLE library v1.x for accelerated, parallel likelihood evaluation\n" +
"2009-2013, BEAGLE Working Group - http://beagle-lib.googlecode.com/\n" +
"Citation: Ayres et al (2012) Systematic Biology 61: 170-173 | doi:10.1093/sysbio/syr100";
}
}
return "BEAGLE not installed/found";
}
public static String getVersion() {
getBeagleJNIWrapper();
if (BeagleJNIWrapper.INSTANCE != null) {
try {
return BeagleJNIWrapper.INSTANCE.getVersion();
} catch (UnsatisfiedLinkError ule) {
// If this method is not available then we must be linked to a v1.x BEAGLE library
return "1.x";
}
}
return "BEAGLE not installed/found";
}
public static List<ResourceDetails> getResourceDetails() {
getBeagleJNIWrapper();
return new ArrayList<ResourceDetails>(resourceDetailsMap.values());
}
public static ResourceDetails getResourceDetails(int resourceNumber) {
getBeagleJNIWrapper();
// System.err.println("resourceNumber = "+resourceNumber);
return resourceDetailsMap.get(resourceNumber);
}
public static Beagle loadBeagleInstance(
int tipCount,
int partialsBufferCount,
int compactBufferCount,
int stateCount,
int patternCount,
int eigenBufferCount,
int matrixBufferCount,
int categoryCount,
int scaleBufferCount,
int[] resourceList,
long preferenceFlags,
long requirementFlags
) {
boolean forceJava = Boolean.valueOf(System.getProperty("java.only"));
// boolean forceHybrid = Boolean.valueOf(System.getProperty("force.hybrid"));
getBeagleJNIWrapper();
if (!forceJava && BeagleJNIWrapper.INSTANCE != null) {
try {
Beagle beagle = new BeagleJNIImpl(
tipCount,
partialsBufferCount,
compactBufferCount,
stateCount,
patternCount,
eigenBufferCount,
matrixBufferCount,
categoryCount,
scaleBufferCount,
resourceList,
preferenceFlags,
requirementFlags
);
// In order to know that it was a CPU instance created, we have to let BEAGLE
// to make the instance and then override it...
InstanceDetails details = beagle.getDetails();
if (details != null) // If resourceList/requirements not met, details == null here
return beagle;
} catch (BeagleException beagleException) {
Logger.getLogger("beagle").info(" "+beagleException.getMessage());
}
}
if (!forceJava) {
throw new RuntimeException("No acceptable BEAGLE library plugins found. " +
"Make sure that BEAGLE is properly installed or try changing resource requirements.");
}
return new GeneralBeagleImpl(tipCount,
partialsBufferCount,
compactBufferCount,
stateCount,
patternCount,
eigenBufferCount,
matrixBufferCount,
categoryCount,
scaleBufferCount
);
}
private static BeagleJNIWrapper getBeagleJNIWrapper() {
if (BeagleJNIWrapper.INSTANCE == null) {
try {
BeagleJNIWrapper.loadBeagleLibrary();
// System.err.println("BEAGLE library loaded");
} catch (UnsatisfiedLinkError ule) {
System.err.println("Failed to load BEAGLE library: " + ule.getMessage());
}
if (BeagleJNIWrapper.INSTANCE != null) {
for (ResourceDetails details : BeagleJNIWrapper.INSTANCE.getResourceList()) {
resourceDetailsMap.put(details.getNumber(), details);
}
}
}
return BeagleJNIWrapper.INSTANCE;
}
// Code and constants for test main()
private final static String human = "AGAAATATGTCTGATAAAAGAGTTACTTTGATAGAGTAAATAATAGGAGCTTAAACCCCCTTATTTCTACTAGGACTATGAGAATCGAACCCATCCCTGAGAATCCAAAATTCTCCGTGCCACCTATCACACCCCATCCTAAGTAAGGTCAGCTAAATAAGCTATCGGGCCCATACCCCGAAAATGTTGGTTATACCCTTCCCGTACTAAGAAATTTAGGTTAAATACAGACCAAGAGCCTTCAAAGCCCTCAGTAAGTTG-CAATACTTAATTTCTGTAAGGACTGCAAAACCCCACTCTGCATCAACTGAACGCAAATCAGCCACTTTAATTAAGCTAAGCCCTTCTAGACCAATGGGACTTAAACCCACAAACACTTAGTTAACAGCTAAGCACCCTAATCAAC-TGGCTTCAATCTAAAGCCCCGGCAGG-TTTGAAGCTGCTTCTTCGAATTTGCAATTCAATATGAAAA-TCACCTCGGAGCTTGGTAAAAAGAGGCCTAACCCCTGTCTTTAGATTTACAGTCCAATGCTTCA-CTCAGCCATTTTACCACAAAAAAGGAAGGAATCGAACCCCCCAAAGCTGGTTTCAAGCCAACCCCATGGCCTCCATGACTTTTTCAAAAGGTATTAGAAAAACCATTTCATAACTTTGTCAAAGTTAAATTATAGGCT-AAATCCTATATATCTTA-CACTGTAAAGCTAACTTAGCATTAACCTTTTAAGTTAAAGATTAAGAGAACCAACACCTCTTTACAGTGA";
private final static String chimp = "AGAAATATGTCTGATAAAAGAATTACTTTGATAGAGTAAATAATAGGAGTTCAAATCCCCTTATTTCTACTAGGACTATAAGAATCGAACTCATCCCTGAGAATCCAAAATTCTCCGTGCCACCTATCACACCCCATCCTAAGTAAGGTCAGCTAAATAAGCTATCGGGCCCATACCCCGAAAATGTTGGTTACACCCTTCCCGTACTAAGAAATTTAGGTTAAGCACAGACCAAGAGCCTTCAAAGCCCTCAGCAAGTTA-CAATACTTAATTTCTGTAAGGACTGCAAAACCCCACTCTGCATCAACTGAACGCAAATCAGCCACTTTAATTAAGCTAAGCCCTTCTAGATTAATGGGACTTAAACCCACAAACATTTAGTTAACAGCTAAACACCCTAATCAAC-TGGCTTCAATCTAAAGCCCCGGCAGG-TTTGAAGCTGCTTCTTCGAATTTGCAATTCAATATGAAAA-TCACCTCAGAGCTTGGTAAAAAGAGGCTTAACCCCTGTCTTTAGATTTACAGTCCAATGCTTCA-CTCAGCCATTTTACCACAAAAAAGGAAGGAATCGAACCCCCTAAAGCTGGTTTCAAGCCAACCCCATGACCTCCATGACTTTTTCAAAAGATATTAGAAAAACTATTTCATAACTTTGTCAAAGTTAAATTACAGGTT-AACCCCCGTATATCTTA-CACTGTAAAGCTAACCTAGCATTAACCTTTTAAGTTAAAGATTAAGAGGACCGACACCTCTTTACAGTGA";
private final static String gorilla = "AGAAATATGTCTGATAAAAGAGTTACTTTGATAGAGTAAATAATAGAGGTTTAAACCCCCTTATTTCTACTAGGACTATGAGAATTGAACCCATCCCTGAGAATCCAAAATTCTCCGTGCCACCTGTCACACCCCATCCTAAGTAAGGTCAGCTAAATAAGCTATCGGGCCCATACCCCGAAAATGTTGGTCACATCCTTCCCGTACTAAGAAATTTAGGTTAAACATAGACCAAGAGCCTTCAAAGCCCTTAGTAAGTTA-CAACACTTAATTTCTGTAAGGACTGCAAAACCCTACTCTGCATCAACTGAACGCAAATCAGCCACTTTAATTAAGCTAAGCCCTTCTAGATCAATGGGACTCAAACCCACAAACATTTAGTTAACAGCTAAACACCCTAGTCAAC-TGGCTTCAATCTAAAGCCCCGGCAGG-TTTGAAGCTGCTTCTTCGAATTTGCAATTCAATATGAAAT-TCACCTCGGAGCTTGGTAAAAAGAGGCCCAGCCTCTGTCTTTAGATTTACAGTCCAATGCCTTA-CTCAGCCATTTTACCACAAAAAAGGAAGGAATCGAACCCCCCAAAGCTGGTTTCAAGCCAACCCCATGACCTTCATGACTTTTTCAAAAGATATTAGAAAAACTATTTCATAACTTTGTCAAGGTTAAATTACGGGTT-AAACCCCGTATATCTTA-CACTGTAAAGCTAACCTAGCGTTAACCTTTTAAGTTAAAGATTAAGAGTATCGGCACCTCTTTGCAGTGA";
private static int[] getStates(String sequence) {
int[] states = new int[sequence.length()];
for (int i = 0; i < sequence.length(); i++) {
switch (sequence.charAt(i)) {
case 'A':
states[i] = 0;
break;
case 'C':
states[i] = 1;
break;
case 'G':
states[i] = 2;
break;
case 'T':
states[i] = 3;
break;
default:
states[i] = 4;
break;
}
}
return states;
}
private static double[] getPartials(String sequence) {
double[] partials = new double[sequence.length() * 4];
int k = 0;
for (int i = 0; i < sequence.length(); i++) {
switch (sequence.charAt(i)) {
case 'A':
partials[k++] = 1;
partials[k++] = 0;
partials[k++] = 0;
partials[k++] = 0;
break;
case 'C':
partials[k++] = 0;
partials[k++] = 1;
partials[k++] = 0;
partials[k++] = 0;
break;
case 'G':
partials[k++] = 0;
partials[k++] = 0;
partials[k++] = 1;
partials[k++] = 0;
break;
case 'T':
partials[k++] = 0;
partials[k++] = 0;
partials[k++] = 0;
partials[k++] = 1;
break;
default:
partials[k++] = 1;
partials[k++] = 1;
partials[k++] = 1;
partials[k++] = 1;
break;
}
}
return partials;
}
public static void main(String[] argv) {
// is nucleotides...
int stateCount = 4;
// get the number of site patterns
int nPatterns = human.length();
BeagleInfo.printVersionInformation();
BeagleInfo.printResourceList();
System.setProperty("java.only", "true");
// create an instance of the BEAGLE library
Beagle instance = loadBeagleInstance(
3, /**< Number of tip data elements (input) */
5, /**< Number of partials buffers to create (input) */
3, /**< Number of compact state representation buffers to create (input) */
stateCount, /**< Number of states in the continuous-time Markov chain (input) */
nPatterns, /**< Number of site patterns to be handled by the instance (input) */
1, /**< Number of rate matrix eigen-decomposition buffers to allocate (input) */
4, /**< Number of rate matrix buffers (input) */
1, /**< Number of rate categories (input) */
3, /**< Number of scale buffers (input) */
new int[] {1, 0},
0,
// BeagleFlag.PROCESSOR_GPU.getMask(),
0
);
if (instance == null) {
System.err.println("Failed to obtain BEAGLE instance");
System.exit(1);
}
StringBuilder sb = new StringBuilder();
for (BeagleFlag flag : BeagleFlag.values()) {
if (flag.isSet(instance.getDetails().getFlags())) {
sb.append(" ").append(flag.name());
}
}
System.out.println("Instance on resource #" + instance.getDetails().getResourceNumber() + " flags:" + sb.toString());
double[] patternWeights = new double[nPatterns];
for (int i = 0; i < nPatterns; i++) {
patternWeights[i] = 1.0;
}
instance.setPatternWeights(patternWeights);
instance.setTipStates(0, getStates(human));
instance.setTipStates(1, getStates(chimp));
instance.setTipStates(2, getStates(gorilla));
// set the sequences for each tip using partial likelihood arrays
// instance.setPartials(0, getPartials(human));
// instance.setPartials(1, getPartials(chimp));
// instance.setPartials(2, getPartials(gorilla));
final double[] rates = { 1.0 };
instance.setCategoryRates(rates);
// create an array containing site category weights
final double[] weights = { 1.0 };
instance.setCategoryWeights(0, weights);
// create base frequency array
final double[] freqs = { 0.25, 0.25, 0.25, 0.25 };
instance.setStateFrequencies(0, freqs);
// an eigen decomposition for the JC69 model
final double[] evec = {
1.0, 2.0, 0.0, 0.5,
1.0, -2.0, 0.5, 0.0,
1.0, 2.0, 0.0, -0.5,
1.0, -2.0, -0.5, 0.0
};
final double[] ivec = {
0.25, 0.25, 0.25, 0.25,
0.125, -0.125, 0.125, -0.125,
0.0, 1.0, 0.0, -1.0,
1.0, 0.0, -1.0, 0.0
};
double[] eval = { 0.0, -1.3333333333333333, -1.3333333333333333, -1.3333333333333333 };
// set the Eigen decomposition
instance.setEigenDecomposition(0, evec, ivec, eval);
// a list of indices and edge lengths
int[] nodeIndices = { 0, 1, 2, 3 };
double[] edgeLengths = { 0.1, 0.1, 0.2, 0.1 };
// tell BEAGLE to populate the transition matrices for the above edge lengths
instance.updateTransitionMatrices(
0, // eigenIndex
nodeIndices, // probabilityIndices
null, // firstDerivativeIndices
null, // secondDervativeIndices
edgeLengths, // edgeLengths
4); // count
instance.resetScaleFactors(2);
// create a list of partial likelihood update operations
// the order is [dest, writeScale, readScale, source1, matrix1, source2, matrix2]
int[] operations = {
3, 0, 0, 0, 0, 1, 1,
4, 1, 1, 2, 2, 3, 3
};
int[] rootIndices = { 4 };
// update the partials
instance.updatePartials(
operations, // eigenIndex
2, // operationCount
2); // rescale ?
int[] scalingFactorsIndices = {2}; // internal nodes
// TODO Need to call accumulateScaleFactors if scaling is enabled
int[] weightIndices = { 0 };
int[] freqIndices = { 0 };
double[] sumLogLik = new double[1];
// calculate the site likelihoods at the root node
instance.calculateRootLogLikelihoods(
rootIndices, // bufferIndices
weightIndices, // weights
freqIndices, // stateFrequencies
scalingFactorsIndices,
1,
sumLogLik); // outLogLikelihoods
System.out.println("logL = " + sumLogLik[0] + " (PAUP logL = -1574.63623)");
}
}
|