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+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "InstrumentsStats.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace framework
+{
+InstrumentsStats::InstrumentsStats(const std::vector<Measurement> &measurements)
+ : _min(nullptr), _max(nullptr), _median(nullptr), _mean(measurements.begin()->value().is_floating_point), _stddev(0.0)
+{
+ auto cmp_measurements = [](const Measurement & a, const Measurement & b)
+ {
+ return a.value() < b.value();
+ };
+
+ auto add_measurements = [](Measurement::Value a, const Measurement & b)
+ {
+ return a + b.value();
+ };
+
+ //Calculate min & max
+ const auto values = std::minmax_element(measurements.begin(), measurements.end(), cmp_measurements);
+ _min = &(*values.first);
+ _max = &(*values.second);
+
+ // Calculate the median value
+ auto copy = measurements;
+ std::nth_element(copy.begin(), copy.begin() + (copy.size() / 2), copy.end(), cmp_measurements);
+ _median = &copy[copy.size() / 2];
+
+ Measurement::Value sum_values = std::accumulate(measurements.begin(), measurements.end(), Measurement::Value(_min->value().is_floating_point), add_measurements);
+
+ // Calculate the relative standard deviation
+ _mean = sum_values / measurements.size();
+ std::vector<Measurement::Value> diff(measurements.size(), _min->value().is_floating_point);
+ std::transform(measurements.begin(), measurements.end(), diff.begin(), [&](const Measurement & x)
+ {
+ return x.value() - _mean;
+ });
+ auto sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), Measurement::Value(_min->value().is_floating_point));
+ auto variance = sq_sum / measurements.size();
+ _stddev = Measurement::Value::relative_standard_deviation(variance, _mean);
+}
+} // namespace framework
+} // namespace test
+} // namespace arm_compute