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1 /* | |
2 * Copyright (C) 2007 Apple Inc. All rights reserved. | |
3 * Copyright (C) 2010 Mozilla Foundation | |
4 * | |
5 * Redistribution and use in source and binary forms, with or without | |
6 * modification, are permitted provided that the following conditions | |
7 * are met: | |
8 * 1. Redistributions of source code must retain the above copyright | |
9 * notice, this list of conditions and the following disclaimer. | |
10 * 2. Redistributions in binary form must reproduce the above copyright | |
11 * notice, this list of conditions and the following disclaimer in the | |
12 * documentation and/or other materials provided with the distribution. | |
13 * | |
14 * THIS SOFTWARE IS PROVIDED BY APPLE COMPUTER, INC. ``AS IS'' AND ANY | |
15 * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | |
16 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR | |
17 * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL APPLE COMPUTER, INC. OR | |
18 * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, | |
19 * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | |
20 * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR | |
21 * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY | |
22 * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | |
23 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | |
24 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
25 */ | |
26 | |
27 var count = output.length; | |
28 | |
29 var itemTotals = {}; | |
30 itemTotals.length = count; | |
31 | |
32 var total = 0; | |
33 var categoryTotals = {}; | |
34 var testTotalsByCategory = {}; | |
35 | |
36 var mean = 0; | |
37 var categoryMeans = {}; | |
38 var testMeansByCategory = {}; | |
39 | |
40 var stdDev = 0; | |
41 var categoryStdDevs = {}; | |
42 var testStdDevsByCategory = {}; | |
43 | |
44 var stdErr = 0; | |
45 var categoryStdErrs = {}; | |
46 var testStdErrsByCategory = {}; | |
47 | |
48 function initialize() | |
49 { | |
50 itemTotals = {total: []}; | |
51 | |
52 for (var i = 0; i < categories.length; i++) { | |
53 var category = categories[i]; | |
54 itemTotals[category] = []; | |
55 categoryTotals[category] = 0; | |
56 testTotalsByCategory[category] = {}; | |
57 categoryMeans[category] = 0; | |
58 testMeansByCategory[category] = {}; | |
59 categoryStdDevs[category] = 0; | |
60 testStdDevsByCategory[category] = {}; | |
61 categoryStdErrs[category] = 0; | |
62 testStdErrsByCategory[category] = {}; | |
63 } | |
64 | |
65 for (var i = 0; i < tests.length; i++) { | |
66 var test = tests[i]; | |
67 itemTotals[test] = []; | |
68 var category = test.replace(/-.*/, ""); | |
69 testTotalsByCategory[category][test] = 0; | |
70 testMeansByCategory[category][test] = 0; | |
71 testStdDevsByCategory[category][test] = 0; | |
72 testStdErrsByCategory[category][test] = 0; | |
73 } | |
74 | |
75 for (var i = 0; i < count; i++) { | |
76 itemTotals["total"][i] = 0; | |
77 for (var category in categoryTotals) { | |
78 itemTotals[category][i] = 0; | |
79 for (var test in testTotalsByCategory[category]) { | |
80 itemTotals[test][i] = 0; | |
81 } | |
82 } | |
83 } | |
84 } | |
85 | |
86 function computeItemTotals() | |
87 { | |
88 for (var i = 0; i < output.length; i++) { | |
89 var result = output[i]; | |
90 for (var test in result) { | |
91 var time = result[test]; | |
92 var category = test.replace(/-.*/, ""); | |
93 itemTotals["total"][i] += time; | |
94 itemTotals[category][i] += time; | |
95 itemTotals[test][i] += time; | |
96 } | |
97 } | |
98 } | |
99 | |
100 function computeTotals() | |
101 { | |
102 for (var i = 0; i < output.length; i++) { | |
103 var result = output[i]; | |
104 for (var test in result) { | |
105 var time = result[test]; | |
106 var category = test.replace(/-.*/, ""); | |
107 total += time; | |
108 categoryTotals[category] += time; | |
109 testTotalsByCategory[category][test] += time; | |
110 } | |
111 } | |
112 } | |
113 | |
114 function computeMeans() | |
115 { | |
116 mean = total / count; | |
117 for (var category in categoryTotals) { | |
118 categoryMeans[category] = categoryTotals[category] / count; | |
119 for (var test in testTotalsByCategory[category]) { | |
120 testMeansByCategory[category][test] = testTotalsByCategory[category] [test] / count; | |
121 } | |
122 } | |
123 } | |
124 | |
125 function standardDeviation(mean, items) | |
126 { | |
127 var deltaSquaredSum = 0; | |
128 for (var i = 0; i < items.length; i++) { | |
129 var delta = items[i] - mean; | |
130 deltaSquaredSum += delta * delta; | |
131 } | |
132 variance = deltaSquaredSum / (items.length - 1); | |
133 return Math.sqrt(variance); | |
134 } | |
135 | |
136 function computeStdDevs() | |
137 { | |
138 stdDev = standardDeviation(mean, itemTotals["total"]); | |
139 for (var category in categoryStdDevs) { | |
140 categoryStdDevs[category] = standardDeviation(categoryMeans[category], i temTotals[category]); | |
141 } | |
142 for (var category in categoryStdDevs) { | |
143 for (var test in testStdDevsByCategory[category]) { | |
144 testStdDevsByCategory[category][test] = standardDeviation(testMeansB yCategory[category][test], itemTotals[test]); | |
145 } | |
146 } | |
147 } | |
148 | |
149 function computeStdErrors() | |
150 { | |
151 var sqrtCount = Math.sqrt(count); | |
152 | |
153 stdErr = stdDev / sqrtCount; | |
154 for (var category in categoryStdErrs) { | |
155 categoryStdErrs[category] = categoryStdDevs[category] / sqrtCount; | |
156 } | |
157 for (var category in categoryStdDevs) { | |
158 for (var test in testStdErrsByCategory[category]) { | |
159 testStdErrsByCategory[category][test] = testStdDevsByCategory[catego ry][test] / sqrtCount; | |
160 } | |
161 } | |
162 | |
163 } | |
164 | |
165 var tDistribution = [NaN, NaN, 12.71, 4.30, 3.18, 2.78, 2.57, 2.45, 2.36, 2.31, 2.26, 2.23, 2.20, 2.18, 2.16, 2.14, 2.13, 2.12, 2.11, 2.10, 2.09, 2.09, 2.08, 2. 07, 2.07, 2.06, 2.06, 2.06, 2.05, 2.05, 2.05, 2.04, 2.04, 2.04, 2.03, 2.03, 2.03 , 2.03, 2.03, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.02, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.01, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 2. 00, 2.00, 2.00, 2.00, 2.00, 2.00, 2.00, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99 , 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.99, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1. 98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98 , 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1. 98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98, 1.98 , 1.98, 1.98, 1.98, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97 , 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97 , 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97 , 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97 , 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97 , 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97 , 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97 , 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1. 97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.97, 1.96]; | |
166 var tMax = tDistribution.length; | |
167 var tLimit = 1.96; | |
168 | |
169 function tDist(n) | |
170 { | |
171 if (n > tMax) | |
172 return tLimit; | |
173 return tDistribution[n]; | |
174 } | |
175 | |
176 | |
177 function formatResult(meanWidth, mean, stdErr, n) | |
178 { | |
179 var meanString = mean.toFixed(1).toString(); | |
180 while (meanString.length < meanWidth) { | |
181 meanString = " " + meanString; | |
182 } | |
183 | |
184 if (n == 1) | |
185 return meanString + "ms"; | |
186 | |
187 return meanString + "ms +/- " + ((tDist(n) * stdErr / mean) * 100).toFixed(1 ) + "%"; | |
188 } | |
189 | |
190 function computeLabelWidth() | |
191 { | |
192 var width = "Total".length; | |
193 for (var category in categoryMeans) { | |
194 if (category.length + 2 > width) | |
195 width = category.length + 2; | |
196 } | |
197 for (var i = 0; i < tests.length; i++) { | |
198 var shortName = tests[i].replace(/^[^-]*-/, ""); | |
199 if (shortName.length + 4 > width) | |
200 width = shortName.length + 4; | |
201 } | |
202 | |
203 return width; | |
204 } | |
205 | |
206 function computeMeanWidth() | |
207 { | |
208 var width = mean.toFixed(1).toString().length; | |
209 for (var category in categoryMeans) { | |
210 var candidate = categoryMeans[category].toFixed(2).toString().length; | |
211 if (candidate > width) | |
212 width = candidate; | |
213 for (var test in testMeansByCategory[category]) { | |
214 var candidate = testMeansByCategory[category][test].toFixed(2).toStr ing().length; | |
215 if (candidate > width) | |
216 width = candidate; | |
217 } | |
218 } | |
219 | |
220 return width; | |
221 } | |
222 | |
223 if (!this['explanations']) | |
224 var explanations = {}; | |
225 | |
226 function resultLine(labelWidth, indent, label, meanWidth, mean, stdErr) | |
227 { | |
228 var result = ""; | |
229 for (i = 0; i < indent; i++) { | |
230 result += " "; | |
231 } | |
232 | |
233 if (label in explanations) | |
234 result += "<a href='" + explanations[label] + "'>" + label + "</a>: "; | |
235 else | |
236 result += label + ": "; | |
237 | |
238 for (i = 0; i < (labelWidth - (label.length + indent)); i++) { | |
239 result += " "; | |
240 } | |
241 | |
242 return result + formatResult(meanWidth, mean, stdErr, count); | |
243 } | |
244 | |
245 function printOutput() | |
246 { | |
247 var labelWidth = computeLabelWidth(); | |
248 var meanWidth = computeMeanWidth(); | |
249 | |
250 print("\n"); | |
251 print("==============================================="); | |
252 if (count == 1) | |
253 print("RESULTS"); | |
254 else | |
255 print("RESULTS (means and 95% confidence intervals)"); | |
256 print("-----------------------------------------------"); | |
257 print(resultLine(labelWidth, 0, "Total", meanWidth, mean, stdErr)); | |
258 print("-----------------------------------------------"); | |
259 for (var category in categoryMeans) { | |
260 print(""); | |
261 print(resultLine(labelWidth, 2, category, meanWidth, categoryMeans[categ ory], categoryStdErrs[category])); | |
262 for (var test in testMeansByCategory[category]) { | |
263 var shortName = test.replace(/^[^-]*-/, ""); | |
264 print(resultLine(labelWidth, 4, shortName, meanWidth, testMeansByCat egory[category][test], testStdErrsByCategory[category][test])); | |
265 } | |
266 } | |
267 } | |
268 | |
269 initialize(); | |
270 computeItemTotals(); | |
271 computeTotals(); | |
272 computeMeans(); | |
273 computeStdDevs(); | |
274 computeStdErrors(); | |
275 printOutput(); | |
276 automation.setDone(); | |
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