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n = seq(1000, 100000, by = 5000)new.times = sapply(n, function(n) system.time(invisible(toJSON(rpois(n, 4)))))library(rjson)new.times = sapply(n, function(n) system.time(invisible(toJSON(rpois(n, 4)))))###################json = sapply(n, function(n) toJSON(rpois(n, 2)))fromJSON.new.times = sapply(json, function(v) system.time(fromJSON(v, asText = TRUE)))fromJSON.new.times.10000 = sapply(json, function(v) system.time(fromJSON(v, default.size = 10000, asText = TRUE)))library(rjson)fromJSON.old.times = sapply(json, function(v) system.time(fromJSON(v)))colnames(fromJSON.old.times) = colnames(fromJSON.new.times) = nsave(fromJSON.new.times, fromJSON.new.times.10000, fromJSON.old.times, n, file = "inst/doc/fromJSONTimes.rda")###############################n = seq(1000, by = 1000, 10000)v = sapply(n, function(n) toJSON(rpois(n, 4)))a = sapply(v, function(x) system.time(fromJSON(x)), USE.NAMES = FALSE)b = sapply(v, function(x) system.time(fromJSON(x, RJSONIO:::simpleJSONHandler())), USE.NAMES = FALSE)f = get("fromJSON", "package:rjson")c = sapply(v, function(x) system.time(f(x)), USE.NAMES = FALSE)d = sapply(v, function(x) {system.time({buf = rep(as.integer(NA), 100000)fromJSON(v,getNativeSymbolInfo("R_json_IntegerArrayCallback", PACKAGE = "RJSONIO"),data = buf)buf[!is.na(buf)]})}, USE.NAMES = FALSE)matplot(n, cbind(a[3,], b[3,], c[3,], d[3,]), type = "l")D = data.frame(n = rep(n, 4),elapsed = c(a[3,], b[3,], c[3,], d[3,]),type = rep(c("default", "simple", "rjson", "C"), each = ncol(a)))xyplot(elapsed ~ n, D, group = type, type = "l", auto.key = list(columns = length(levels(D$type))))