fix memory leaks on EMGLLF, test OK for EMGrank

[valse.git] / src / test / generate_test_data / generateRunSaveTest_constructionModelesLassoRank.R

diff --git a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R
index dfb2736..1a6076c 100644 (file)
--- a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R
+++ b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoRank.R
@@ -1,11 +1,10 @@
-generateRunSaveTest_constructionModelesLassoRank = function(n=200, p=15, m=10, L=12, mini=5, maxi=10, gamma=1.0, rangmin=3, rangmax=6){
+generateRunSaveTest_constructionModelesLassoRank = function(n=200, p=15, m=10, L=12, mini=5,
+       maxi=10, gamma=1.0, rangmin=3, rangmax=6)
+{
   testFolder = "data/"
   dir.create(testFolder, showWarnings=FALSE, mode="0755")
-  delimiter = " "
-  
+
   tau = 1e-6
-  
-  
   pi = matrix(0, k,L)
   for(i in 1:L){
     pi[,i] = rep(1.0/k, k)
@@ -16,31 +15,40 @@ generateRunSaveTest_constructionModelesLassoRank = function(n=200, p=15, m=10, L
       rho[,,r,l] = diag(1,m)
     }
   }
-  #Generate X and Y
        require(valse)
-  generateIOdef = valse:::generateIOdefault(n, p, m, k)
-  
+  io = valse:::generateIOdefault(n, p, m, k)
   A1 = matrix(0,p,L)
   for(i in 1:L){
     A1[,i] = seq(1,p)
   }
+
   #save inputs
-  write.table(paste(testFolder,"rho",sep=""), rho, sep=delimiter)
-  write.table(paste(testFolder,"pi",sep=""), pi, sep=delimiter)
-  write.table(paste(testFolder,"mini",sep=""), mini, sep=delimiter)
-  write.table(paste(testFolder,"maxi",sep=""), maxi, sep=delimiter)
-  write.table(paste(testFolder,"X",sep=""), generateIOdef$X sep=delimiter)
-  write.table(paste(testFolder,"Y",sep=""), generateIOdef$Y, sep=delimiter)
-  write.table(paste(testFolder,"tau",sep=""), tau, sep=delimiter)
-  write.table(paste(testFolder,"A1",sep=""), A1, sep=delimiter)
-  write.table(paste(testFolder,"rangmin",sep=""), rangmin, sep=delimiter)
-  write.table(paste(testFolder,"rangmax",sep=""), rangmax, sep=delimiter)
-  write.table(paste(testFolder,"dimensions",sep=""), c(n,p,m,k), sep=delimiter)
-  
-  construct = constructionModelesLassoRank(pi,rho,mini,maxi,X,Y,tau,A1,rangmin,rangmax))
-  
+  write.table(as.double(rho),paste(testFolder,"rho",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.double(pi), paste(testFolder,"pi",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.double(io$X), paste(testFolder,"X",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.double(io$Y), paste(testFolder,"Y",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.double(tau),paste(testFolder,"tau",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.double(A1),paste(testFolder,"A1",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.integer(rangmin),paste(testFolder,"rangmin",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.integer(rangmax),paste(testFolder,"rangmax",sep=""),
+               row.names=F, col.names=F)
+  write.table(as.integer(c(n,p,m,k)),paste(testFolder,"dimensions",sep=""),
+               row.names=F, col.names=F)
+
+  res = constructionModelesLassoRank(pi,rho,mini,maxi,X,Y,tau,A1,rangmin,rangmax)
+
   #save output
-  write.table(paste(testFolder,"phi",sep=""), construct$phi, sep=delimiter)
-  write.table(paste(testFolder,"lvraisemblance",sep=""), construct$lvraisemblance, sep=delimiter)
-  
+  write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F, col.names=F)
+  write.table(as.double(res$llh), paste(testFolder,"llh",sep=""), row.names=F, col.names=F)
 }