Nothing
library(airGR)
source("tests/testthat/helper_scheduled_Calibration.R")
BenchmarkRunModel <- function(model) {
e <- PrepareCalibration(model)
for (n in ls(e, all.names = TRUE)) {
assign(n, value = get(n, e))
}
# RunOptions calibration configuration
RunOptions$Outputs_Sim <- RunOptions$Outputs_Cal
mbm <- microbenchmark::microbenchmark(
RunModel = RunModel(InputsModel = InputsModel, RunOptions = RunOptions,
Param = as.numeric(strsplit(model$ParamFinalR, ";")[[1]]), FUN_MOD = sModel)
)
return(mbm$time)
}
sModelNames <- paste0(dfModels$name,
ifelse(as.logical(dfModels$IsHyst), "_Hyst", ""))
dfBM <- as.data.frame(apply(dfModels, MARGIN = 1, FUN = BenchmarkRunModel))
colnames(dfBM) <- sModelNames
dfBM <- cbind(version = as.character(packageVersion('airGR')), dfBM)
file <- "tests/tmp/benchmark.tsv"
dir.create("tests/tmp", showWarnings = FALSE)
write.table(dfBM, file = file,
row.names = FALSE, col.names = !file.exists(file), quote = FALSE,
sep = "\t", append = file.exists(file))
df <- read.table(file = file, sep = "\t", header = TRUE)
if (length(unique(df$version)) > 1) {
lV <- lapply(unique(df$version), function(version) {
apply(df[df$version == version, -1] / 1e6, MARGIN = 2, FUN = mean)
})
names(lV) <- unique(df$version)
dfMean <- cbind(model = sModelNames, as.data.frame(t(do.call(rbind, lV))))
dfMean$evolution <- (dfMean[, 3] - dfMean[, 2]) / dfMean[, 2]
write.table(dfMean, "tests/tmp/mean_execution_time.tsv", row.names = FALSE, quote = FALSE, sep = "\t")
res <- testthat::test_file("tests/testthat/benchmarkRunModel.R")
dRes <- as.data.frame(res)
if (any(dRes[, "failed"] > 0) | any(dRes[, "error"])) {
quit(status = 1)
}
}
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