1 | // Copyright 2016 Ismael Jimenez Martinez. All rights reserved. |
2 | // |
3 | // Licensed under the Apache License, Version 2.0 (the "License"); |
4 | // you may not use this file except in compliance with the License. |
5 | // You may obtain a copy of the License at |
6 | // |
7 | // http://www.apache.org/licenses/LICENSE-2.0 |
8 | // |
9 | // Unless required by applicable law or agreed to in writing, software |
10 | // distributed under the License is distributed on an "AS IS" BASIS, |
11 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
12 | // See the License for the specific language governing permissions and |
13 | // limitations under the License. |
14 | |
15 | // Source project : https://github.com/ismaelJimenez/cpp.leastsq |
16 | // Adapted to be used with google benchmark |
17 | |
18 | #ifndef COMPLEXITY_H_ |
19 | #define COMPLEXITY_H_ |
20 | |
21 | #include <string> |
22 | #include <vector> |
23 | |
24 | #include "benchmark/benchmark_api.h" |
25 | #include "benchmark/reporter.h" |
26 | |
27 | namespace benchmark { |
28 | |
29 | // Return a vector containing the mean and standard devation information for |
30 | // the specified list of reports. If 'reports' contains less than two |
31 | // non-errored runs an empty vector is returned |
32 | std::vector<BenchmarkReporter::Run> ComputeStats( |
33 | const std::vector<BenchmarkReporter::Run>& reports); |
34 | |
35 | // Return a vector containing the bigO and RMS information for the specified |
36 | // list of reports. If 'reports.size() < 2' an empty vector is returned. |
37 | std::vector<BenchmarkReporter::Run> ComputeBigO( |
38 | const std::vector<BenchmarkReporter::Run>& reports); |
39 | |
40 | // This data structure will contain the result returned by MinimalLeastSq |
41 | // - coef : Estimated coeficient for the high-order term as |
42 | // interpolated from data. |
43 | // - rms : Normalized Root Mean Squared Error. |
44 | // - complexity : Scalability form (e.g. oN, oNLogN). In case a scalability |
45 | // form has been provided to MinimalLeastSq this will return |
46 | // the same value. In case BigO::oAuto has been selected, this |
47 | // parameter will return the best fitting curve detected. |
48 | |
49 | struct LeastSq { |
50 | LeastSq() : coef(0.0), rms(0.0), complexity(oNone) {} |
51 | |
52 | double coef; |
53 | double rms; |
54 | BigO complexity; |
55 | }; |
56 | |
57 | // Function to return an string for the calculated complexity |
58 | std::string GetBigOString(BigO complexity); |
59 | |
60 | } // end namespace benchmark |
61 | #endif // COMPLEXITY_H_ |
62 | |