Nothing
library(fmcsR)
test_a.fmcs <- function(){
data(sdfsample)
mcs = fmcs(sdfsample[1],sdfsample[2])
#print("class:")
#print(class(mcs))
s=stats(mcs)
#print(s)
checkEquals(mcs1(mcs)$mcs1[[1]], c(8,17,18,16,7,11,19,20,24,29,1))
checkEquals(mcs2(mcs)$mcs2[[1]], c(4,10,12,15,8,18,9,11,14,17,1))
checkEquals(s["Query_Size"],33,checkNames=FALSE )
checkEquals(s["Target_Size"],26,checkNames=FALSE )
checkEquals(s["MCS_Size"],11,checkNames=FALSE )
checkEquals(s["Tanimoto_Coefficient"], 0.2291667,
checkNames=FALSE,tolerance=0.00001)
checkEquals(s["Overlap_Coefficient"], 0.4230769 ,
checkNames=FALSE,tolerance=0.00001)
mcs = fmcs(sdfsample[1],sdfsample[2],timeout= 20)
#print(stats(mcs))
}
test_b.fmcsBatch <- function(){
#DEACTIVATED("disabled")
data(sdfsample)
t1=system.time(results <<-
fmcsBatch(sdfsample,sdfsample,numParallel=1))[[3]]
checkEquals(ncol(results),5)
checkEquals(nrow(results),length(sdfsample))
checkEqualsNumeric(results[5,],c(33,23,14,0.3333333,0.6086957),tolerance=0.00001)
timeout=20
t2 = system.time(fmcsBatch(sdfsample,sdfsample,timeout=timeout))[[3]]
message("first run time: ",t1," second: ",t2)
checkTrue(t2 < t1)
}
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