1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
|
#!/usr/bin/env Rscript
library(argparse)
library(ggplot2)
library(dplyr)
library(scales)
# library(ggthemes)
library(ggrepel)
parser <-
ArgumentParser(description = "", formatter_class = "argparse.RawTextHelpFormatter")
parser$add_argument("-i", "--infile", type = "character",
help = "result file generated by run.pl")
parser$add_argument("-o", "--outfile", type = "character",
default = "",
help = "result figure file")
parser$add_argument("--width", type = "double",
default = 8,
help = "result file width")
parser$add_argument("--height", type = "double",
default = 6,
help = "result file height")
parser$add_argument("--dpi", type = "integer",
default = 300,
help = "DPI")
args <- parser$parse_args()
if (is.null(args$infile)) {
write("ERROR: Input file (generated by run.pl) needed!\n", file = stderr())
quit("no", 1)
}
if (args$outfile == "") {
args$outfile = paste(args$infile, ".png", sep="")
}
w <- args$width
h <- args$height
df <- read.csv(args$infile, sep = "\t")
# sort
df$test <- factor(df$test, levels = unique(df$test), ordered = TRUE)
df$app <- factor(df$app, levels = unique(df$app), ordered = TRUE)
df$dataset <-
factor(df$dataset, levels = unique(df$dataset), ordered = TRUE)
# rename dataset
# re <- function(x) {
# if (is.character(x) | is.factor(x)) {
# x <- gsub("\\.fa","",x)
# }
# return(x)
# }
# df <- as.data.frame(lapply(df, re))
# humanize mem unit
max_mem <- max(df$mem_mean)
unit <- "KB"
if (max_mem > 1024 * 1024) {
df <- df %>% mutate(mem_mean2 = mem_mean / 1024 / 1024)
unit <- "GB"
} else if (max_mem > 1024) {
df <- df %>% mutate(mem_mean2 = mem_mean / 1024)
unit <- "MB"
} else {
df <- df %>% mutate(mem_mean2 = mem_mean / 1)
unit <- "KB"
}
p <-
ggplot(df, aes(
x = mem_mean2, y = time_mean,
label = app
)) +
geom_point(size = 2) +
geom_hline(aes(yintercept = time_mean), size = 0.1, alpha = 0.4) +
geom_vline(aes(xintercept = mem_mean2), size = 0.1, alpha = 0.4) +
geom_text_repel(size = 4, max.iter=200000) +
# scale_color_wsj() +
scale_color_manual(values = c("#b79d1a", "#ff7600", "#d20015", "#00824c", "#00518b")) +
facet_wrap( ~ test) +
ylim(0, max(df$time_mean)) +
xlim(0, max(df$mem_mean2)) +
# ggtitle("Performance on different size of files") +
ylab("Time (s)") +
xlab(paste("Peak Memory (", unit, ")", sep = ""))
p <- p +
theme_bw() +
theme(
panel.border = element_rect(color = "black", size = 1.2),
panel.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
axis.ticks.y = element_line(size = 0.8),
axis.ticks.x = element_line(size = 0.8),
strip.background = element_rect(
colour = "white", fill = "white",
size = 0.2
),
legend.text = element_text(size = 14),
legend.position = "c(0.85,0.25)",
legend.background = element_rect(fill = "transparent"),
legend.key.size = unit(0.6, "cm"),
legend.key = element_blank(),
legend.title = element_blank(),
legend.text.align = 0,
legend.box.just = "left",
strip.text.x = element_text(angle = 0, hjust = 0),
text = element_text(
size = 14, family = "arial", face = "bold"
),
plot.title = element_text(size = 15)
)
if (grepl("tiff?$", args$outfile, perl=TRUE, ignore.case=TRUE)) {
ggsave(p, file = args$outfile, width = w, height = h, dpi=args$dpi, compress="lzw")
} else {
ggsave(p, file = args$outfile, width = w, height = h, dpi=args$dpi)
}
# p <- p + scale_color_manual(values = rep("black", length(df$app)))
#
# ggsave(
# p, file = paste("benchmark-", gsub(" ", "-", tolower(test1)), ".grey.png", sep = ""), width = w, height = h
# )
|
