| // Copyright 2016 Ismael Jimenez Martinez. All rights reserved. | |
| // | |
| // Licensed under the Apache License, Version 2.0 (the "License"); | |
| // you may not use this file except in compliance with the License. | |
| // You may obtain a copy of the License at | |
| // | |
| // http://www.apache.org/licenses/LICENSE-2.0 | |
| // | |
| // Unless required by applicable law or agreed to in writing, software | |
| // distributed under the License is distributed on an "AS IS" BASIS, | |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| // See the License for the specific language governing permissions and | |
| // limitations under the License. | |
| // Source project : https://github.com/ismaelJimenez/cpp.leastsq | |
| // Adapted to be used with google benchmark | |
| namespace benchmark { | |
| // Return a vector containing the bigO and RMS information for the specified | |
| // list of reports. If 'reports.size() < 2' an empty vector is returned. | |
| std::vector<BenchmarkReporter::Run> ComputeBigO( | |
| const std::vector<BenchmarkReporter::Run>& reports); | |
| // This data structure will contain the result returned by MinimalLeastSq | |
| // - coef : Estimated coeficient for the high-order term as | |
| // interpolated from data. | |
| // - rms : Normalized Root Mean Squared Error. | |
| // - complexity : Scalability form (e.g. oN, oNLogN). In case a scalability | |
| // form has been provided to MinimalLeastSq this will return | |
| // the same value. In case BigO::oAuto has been selected, this | |
| // parameter will return the best fitting curve detected. | |
| struct LeastSq { | |
| LeastSq() : coef(0.0), rms(0.0), complexity(oNone) {} | |
| double coef; | |
| double rms; | |
| BigO complexity; | |
| }; | |
| // Function to return an string for the calculated complexity | |
| std::string GetBigOString(BigO complexity); | |
| } // end namespace benchmark | |