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
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
|
<svg id="{{ .Get "id" }}" width=500 height=200>
<title>{{ .Get "title" }}</title>
</svg>
<script type="text/javascript">
d3.csv("{{ .Get "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 ("{{ .Get "metric" }}" != "") {
orig_columns = data.columns;
data = data.filter(d => d.metric == "{{ .Get "metric" }}");
data.columns = orig_columns;
}
// Filter by method, if required.
if ("{{ .Get "method" }}" != "") {
orig_columns = data.columns;
data = data.filter(d => d.method == "{{ .Get "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 ({{ .Get "log" | default false }}) {
// Need to cap lower end of the domain at 1.
y_min = 1;
}
if ({{ .Get "y_min" | default false }}) {
y_min = "{{ .Get "y_min" }}";
}
var svg = d3.select("#{{ .Get "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 ({{ .Get "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>
|