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-rw-r--r--website/_includes/graph.html205
1 files changed, 0 insertions, 205 deletions
diff --git a/website/_includes/graph.html b/website/_includes/graph.html
deleted file mode 100644
index f3a999341..000000000
--- a/website/_includes/graph.html
+++ /dev/null
@@ -1,205 +0,0 @@
-{::nomarkdown}
-{% assign fn = include.id | remove: " " | remove: "-" | downcase %}
-<figure><a href="{{ include.url }}"><svg id="{{ include.id }}" width=500 height=200 onload="render_{{ fn }}()"><title>{{ include.title }}</title></svg></a></figure>
-<script type="text/javascript">
-function render_{{ fn }}() {
-d3.csv("{{ include.url }}", function(d, i, columns) {
- return d; // Transformed below.
-}, function(error, data) {
- if (error) throw(error);
-
- // Create a new data that pivots on runtime.
- //
- // To start, we have:
- // runtime, ..., result
- // runc, ..., 1
- // runsc, ..., 2
- //
- // In the end we want:
- // ..., runsc, runc
- // ..., 1, 2
-
- // Filter by metric, if required.
- if ("{{ include.metric }}" != "") {
- orig_columns = data.columns;
- data = data.filter(d => d.metric == "{{ include.metric }}");
- data.columns = orig_columns;
- }
-
- // Filter by method, if required.
- if ("{{ include.method }}" != "") {
- orig_columns = data.columns;
- data = data.filter(d => d.method == "{{ include.method }}");
- data.columns = orig_columns.filter(key => key != "method");
- }
-
- // Enumerate runtimes.
- var runtimes = Array.from(new Set(data.map(d => d.runtime)));
- var metrics = Array.from(new Set(data.map(d => d.metric)));
- if (metrics.length < 1) {
- console.log(data);
- throw("need at least one metric");
- } else if (metrics.length == 1) {
- metric = metrics[0];
- data.columns = data.columns.filter(key => key != "metric");
- } else {
- metric = ""; // Used for grouping.
- }
-
- var isSubset = function(a, sup) {
- var ap = Object.getOwnPropertyNames(a);
- for (var i = 0; i < ap.length; i++) {
- if (a[ap[i]] !== sup[ap[i]]) {
- return false;
- }
- }
- return true;
- };
-
- // Execute a pivot to include runtimes as attributes.
- var new_data = data.map(function(data_item) {
- // Generate a prototype data item.
- var proto_item = Object.assign({}, data_item);
- delete proto_item.runtime;
- delete proto_item.result;
- var next_item = Object.assign({}, proto_item);
-
- // Find all matching runtime items.
- data.forEach(function(d) {
- if (isSubset(proto_item, d)) {
- // Add the result result.
- next_item[d.runtime] = d.result;
- }
- });
- return next_item;
- });
-
- // Remove any duplication.
- new_data = Array.from(new Set(new_data));
- new_data.columns = data.columns;
- new_data.columns = new_data.columns.filter(key => key != "runtime" && key != "result");
- new_data.columns = new_data.columns.concat(runtimes);
- data = new_data;
-
- // Slice based on the first key.
- if (data.columns.length != runtimes.length) {
- x0_key = new_data.columns[0];
- var x1_domain = data.columns.slice(1);
- } else {
- x0_key = "runtime";
- var x1_domain = runtimes;
- }
-
- // Determine varaible margins.
- var x0_domain = data.map(d => d[x0_key]);
- var margin_bottom_pad = 0;
- if (x0_domain.length > 8) {
- margin_bottom_pad = 50;
- }
-
- // Use log scale if required.
- var y_min = 0;
- if ({{ include.log | default: "false" }}) {
- // Need to cap lower end of the domain at 1.
- y_min = 1;
- }
-
- if ({{ include.y_min | default: "false" }}) {
- y_min = "{{ include.y_min }}";
- }
-
- var svg = d3.select("#{{ include.id }}"),
- margin = {top: 20, right: 20, bottom: 30 + margin_bottom_pad, left: 50},
- width = +svg.attr("width") - margin.left - margin.right,
- height = +svg.attr("height") - margin.top - margin.bottom,
- g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
-
- var x0 = d3.scaleBand()
- .rangeRound([margin.left / 2, width - (4 * margin.right)])
- .paddingInner(0.1);
-
- var x1 = d3.scaleBand()
- .padding(0.05);
-
- var y = d3.scaleLinear()
- .rangeRound([height, 0]);
- if ({{ include.log | default: "false" }}) {
- y = d3.scaleLog()
- .rangeRound([height, 0]);
- }
-
- var z = d3.scaleOrdinal()
- .range(["#262362", "#FBB03B", "#286FD7", "#6b486b"]);
-
- // Set all domains.
- x0.domain(x0_domain);
- x1.domain(x1_domain).rangeRound([0, x0.bandwidth()]);
- y.domain([y_min, d3.max(data, d => d3.max(x1_domain, key => parseFloat(d[key])))]).nice();
-
- // The data.
- g.append("g")
- .selectAll("g")
- .data(data)
- .enter().append("g")
- .attr("transform", function(d) { return "translate(" + x0(d[x0_key]) + ",0)"; })
- .selectAll("rect")
- .data(d => x1_domain.map(key => ({key, value: d[key]})))
- .enter().append("rect")
- .attr("x", d => x1(d.key))
- .attr("y", d => y(d.value))
- .attr("width", x1.bandwidth())
- .attr("height", d => y(y_min) - y(d.value))
- .attr("fill", d => z(d.key));
-
- // X0 ticks and labels.
- var x0_axis = g.append("g")
- .attr("class", "axis")
- .attr("transform", "translate(0," + height + ")")
- .call(d3.axisBottom(x0));
- if (x0_domain.length > 8) {
- x0_axis.selectAll("text")
- .style("text-anchor", "end")
- .attr("dx", "-.8em")
- .attr("dy", ".15em")
- .attr("transform", "rotate(-65)");
- }
-
- // Y ticks and top-label.
- if (metric == "default") {
- metric = ""; // Don't display.
- }
- g.append("g")
- .attr("class", "axis")
- .call(d3.axisLeft(y).ticks(null, "s"))
- .append("text")
- .attr("x", -30.0)
- .attr("y", y(y.ticks().pop()) - 10.0)
- .attr("dy", "0.32em")
- .attr("fill", "#000")
- .attr("font-weight", "bold")
- .attr("text-anchor", "start")
- .text(metric);
-
- // The legend.
- var legend = g.append("g")
- .attr("font-family", "sans-serif")
- .attr("font-size", 10)
- .attr("text-anchor", "end")
- .selectAll("g")
- .data(x1_domain.slice().reverse())
- .enter().append("g")
- .attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
- legend.append("rect")
- .attr("x", width - 19)
- .attr("width", 19)
- .attr("height", 19)
- .attr("fill", z);
- legend.append("text")
- .attr("x", width - 24)
- .attr("y", 9.5)
- .attr("dy", "0.32em")
- .text(function(d) { return d; });
-});
-}
-</script>
-{:/}