de_serialize works. Variables names improved. Code beautified. TODO: clustering tests
[epclust.git] / epclust / tests / testthat / test.clusteringTask.R
diff --git a/epclust/tests/testthat/test.clusteringTask.R b/epclust/tests/testthat/test.clusteringTask.R
deleted file mode 100644 (file)
index f45276c..0000000
+++ /dev/null
@@ -1,38 +0,0 @@
-computeClusters
-computeSynchrones
-
-# Cluster one full task (nb_curves / ntasks series)
-clusteringTask = function(indices,getSeries,getSeriesForSynchrones,synchrones_file,
-       getCoefs,K1,K2,nb_series_per_chunk,ncores,to_file,ftype)
-{
-       cl = parallel::makeCluster(ncores)
-       repeat
-       {
-               nb_workers = max( 1, round( length(indices) / nb_series_per_chunk ) )
-               indices_workers = lapply(seq_len(nb_workers), function(i) {
-                       upper_bound = ifelse( i<nb_workers,
-                               min(nb_series_per_chunk*i,length(indices)), length(indices) )
-                       indices[(nb_series_per_chunk*(i-1)+1):upper_bound]
-               })
-               indices = unlist( parallel::parLapply(cl, indices_workers, function(inds)
-                       computeClusters1(inds, getCoefs, K1)) )
-               if (length(indices_clust) == K1)
-                       break
-       }
-       parallel::stopCluster(cl)
-       if (K2 == 0)
-               return (indices)
-       computeClusters2(indices, K2, getSeries, getSeriesForSynchrones, to_file,
-                                                                        nb_series_per_chunk,ftype)
-       vector("integer",0)
-}
-
-# Apply the clustering algorithm (PAM) on a coeffs or distances matrix
-computeClusters1 = function(indices, getCoefs, K1)
-{
-       coefs = getCoefs(indices)
-       indices[ cluster::pam(coefs, K1, diss=FALSE)$id.med ]
-}
-
-# Cluster a chunk of series inside one task (~max nb_series_per_chunk)
-computeClusters2 = function(indices, K2, getSeries, getSeriesForSynchrones, to_file,