Sebastian Rust
36 lines
1.2 KiB
R
36 lines
1.2 KiB
R
#!/usr/bin/env Rscript
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source("common.R")
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parser <- fig_parser(description = "Throughput bar chart")
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parser$add_argument("--ymin", type = "double")
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parser$add_argument("--ymax", type = "double")
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parser$add_argument("--ystep", type = "double")
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args <- parser$parse_args()
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runs <- read_csv(file.path(args$data, "runs.csv"), show_col_types = FALSE) %>%
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prepare_solution() %>%
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group_by(solution) %>%
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summarise(mean_gbps = mean(throughput_bps) / 1e9,
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sd_gbps = sd(throughput_bps) / 1e9, .groups = "drop")
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p <- ggplot(runs, aes(x = solution, y = mean_gbps, fill = solution)) +
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geom_col(width = 0.6, colour = "black") +
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geom_errorbar(aes(ymin = mean_gbps - sd_gbps, ymax = mean_gbps + sd_gbps),
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width = 0.2) +
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scale_fill_manual(values = LABEL_COLORS, guide = "none") +
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labs(x = NULL, y = "Throughput (Gbps)") +
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theme_paper() +
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theme(axis.text.x = element_text(angle = 45, hjust = 1),
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plot.margin = margin(2, 4, 0, 2)) +
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theme_debug_margins(args)
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if (!is.null(args$ymax)) {
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ymin <- if (is.null(args$ymin)) 0 else args$ymin
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p <- p + coord_cartesian(ylim = c(ymin, args$ymax))
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if (!is.null(args$ystep)) {
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p <- p + scale_y_continuous(breaks = seq(ymin, args$ymax, args$ystep))
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}
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}
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save_figure(p, args)
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