--- /dev/null
+
+source("functions.r");
+
+#system("../nodequery.py --nodelist > ../nodelist.txt")
+#system("../comonquery.py --cache --nodelist ../nodelist.txt --select 'resptime>0' --fields='name,cpuspeed,numcores,memsize,disksize,bwlimit' | grep -v null | ./hn2lb.py | ./hn2pcustatus.py > ./out_resources.csv ")
+
+mdrc <- read.csv("out_resources.csv", TRUE, sep=",")
+
+# replace all weird numbers with defaults of 100mbps
+mdrc$bwlimit <- replace(mdrc$bwlimit, which(mdrc$bwlimit==0 | mdrc$bwlimit==1), 100000)
+
+f<-slices_2
+
+s2<- f(mdrc, FALSE);
+mdrc$score <- s2;
+b<-30;
+
+# ----------------------
+### LOGINBASE
+unique_loginbase_length <- length(unique(mdrc$loginbase));
+unique_lb <- list(loginbase=array(0,c(unique_loginbase_length)),
+ score=array(0,c(unique_loginbase_length)),
+ memsize=array(0,c(unique_loginbase_length)),
+ disksize=array(0,c(unique_loginbase_length)),
+ cpuspeed=array(0,c(unique_loginbase_length))
+ )
+
+for ( i in 1:length(mdrc$loginbase) )
+{
+ r <- mdrc[i,];
+ unique_lb$loginbase[r$loginbase] <- r$loginbase;
+ unique_lb$score[r$loginbase] <- unique_lb$score[r$loginbase] + r$score;
+
+ v <- f(r, TRUE);
+ unique_lb$memsize[r$loginbase] <- unique_lb$memsize[r$loginbase] + v[1];
+ unique_lb$disksize[r$loginbase] <- unique_lb$disksize[r$loginbase] + v[2];
+ unique_lb$cpuspeed[r$loginbase] <- unique_lb$cpuspeed[r$loginbase] + v[3];
+}
+
+df<- data.frame(unique_lb)
+
+h<- hist(df$score, breaks=b);
+bins<-length(h$breaks);
+c<- array(0,c(bins));
+d<- array(0,c(bins));
+m<- array(0,c(bins));
+b<- array(0,c(bins));
+# foreach score value, find which range it falls into,
+# then in three columns for cpu, mem, disk, record the fraction of each.
+# then plot each sequence in a stacked graph, perhaps beside h$counts
+for ( i in 1:length(df$cpuspeed) )
+{
+ r <- df[i,];
+ s <- index_of_bin(h, r$score); # find bin position...
+ # take fraction that each component contributes to the total, and add to sum
+
+ m[s] <- m[s] + unique_lb$memsize[r$loginbase]/r$score;
+ d[s] <- d[s] + unique_lb$disksize[r$loginbase]/r$score;
+ c[s] <- c[s] + unique_lb$cpuspeed[r$loginbase]/r$score;
+}
+
+a <- array(c(c,d,m), dim=c(bins, 3));
+
+png("/Users/soltesz/Downloads/slice_policy_3.png")
+par(mfrow=c(2,1))
+par(mai=c(0.5,1,0.5,0.2))
+barplot(c(0,h$counts),
+ xlab="slice count",
+ main="Distribution of Site Scores",
+ ylab="Total Frequency",
+ ylim=c(0,70))
+par(mai=c(1.0,1,0,0.2));
+barplot(t(a),
+ legend=c("CPUspeed (GHz)", "DISKsize (GB)", "MEMsize (GB)"),
+ col=c("pink", "lightblue", "lightgreen"),
+ ylim=c(0,70),
+ ylab="Break-down by Resource",
+ xlab="Site Score",
+ names.arg=c(0,h$breaks[1:length(h$breaks)-1]),
+);
+dev.off()
+
+