fwi: add test figure with the time

garlic/fig/fwi/test.R

@@ -0,0 +1,46 @@
+library(ggplot2)
+library(dplyr)
+library(scales)
+library(jsonlite)
+
+args=commandArgs(trailingOnly=TRUE)
+
+# Read the timetable from args[1]
+input_file = "input.json"
+if (length(args)>0) { input_file = args[1] }
+
+# Load the dataset in NDJSON format
+dataset = jsonlite::stream_in(file(input_file)) %>%
+	jsonlite::flatten()
+
+# We only need the nblocks and time
+df = select(dataset, config.blocksize, config.gitBranch, time) %>%
+	rename(blocksize=config.blocksize, gitBranch=config.gitBranch) %>%
+  group_by(blocksize, gitBranch) %>%
+  mutate(mtime = median(time)) %>%
+  ungroup()
+
+df$gitBranch = as.factor(df$gitBranch)
+df$blocksize = as.factor(df$blocksize)
+
+ppi=300
+h=5
+w=5
+
+png("time.png", width=w*ppi, height=h*ppi, res=ppi)
+#
+## Create the plot with the normalized time vs nblocks
+p = ggplot(df, aes(x=blocksize, y=time)) +
+	geom_point() +
+	geom_line(aes(y=mtime, group=gitBranch, color=gitBranch)) +
+	theme_bw() +
+	labs(x="Blocksize", y="Time (s)", title="FWI granularity",
+    subtitle=input_file) +
+	theme(plot.subtitle=element_text(size=8)) +
+	theme(legend.position = c(0.5, 0.88))
+
+# Render the plot
+print(p)
+
+# Save the png image
+dev.off()

garlic/fig/index.nix

@@ -61,6 +61,10 @@ in
     big.granularity = stdPlot ./creams/granularity.R [ big.granularity ];
   };
 
+  fwi = with exp.fwi; {
+    test = stdPlot ./fwi/test.R [ test ];
+  };
+
   osu = with exp.osu; {
     latency       = customPlot ./osu/latency.R (ds.osu.latency latency.result);
     latencyShm    = customPlot ./osu/latency.R (ds.osu.latency latencyShm.result);