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Diffstat (limited to 'Client/ThirdParty/fpm/3rdparty/googlebench/src/complexity.h')
-rw-r--r-- | Client/ThirdParty/fpm/3rdparty/googlebench/src/complexity.h | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/Client/ThirdParty/fpm/3rdparty/googlebench/src/complexity.h b/Client/ThirdParty/fpm/3rdparty/googlebench/src/complexity.h new file mode 100644 index 0000000..df29b48 --- /dev/null +++ b/Client/ThirdParty/fpm/3rdparty/googlebench/src/complexity.h @@ -0,0 +1,55 @@ +// 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 + +#ifndef COMPLEXITY_H_ +#define COMPLEXITY_H_ + +#include <string> +#include <vector> + +#include "benchmark/benchmark.h" + +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 + +#endif // COMPLEXITY_H_ |