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Initial Pybind11 binding experiment working....
Initial Pybind11 binding experiment working. Can open an amda formatted file from Python and get few attributes from ScalarSeries. Loading module from python works. Embedding python interpreter also works. Signed-off-by: Alexis Jeandet <alexis.jeandet@member.fsf.org>

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FuzzingUtils.h
63 lines | 2.3 KiB | text/x-c | CLexer
#ifndef SCIQLOP_FUZZINGUTILS_H
#define SCIQLOP_FUZZINGUTILS_H
#include <algorithm>
#include <random>
/**
* Class that proposes random utility methods
*/
class RandomGenerator {
public:
/// @return the unique instance of the random generator
static RandomGenerator &instance();
/// Generates a random double between [min, max]
double generateDouble(double min, double max);
/// Generates a random int between [min, max]
int generateInt(int min, int max);
/**
* Returns a random element among the elements of a container. An item may be more likely to be
* selected if it has an associated weight greater than other items
* @param container the container from which to retrieve an element
* @param weights the weight associated to each element of the container. The vector must have
* the same size of the container for the weights to be effective
* @param nbDraws the number of random draws to perform
* @return the random element retrieved, an element built by default if the container is empty
*/
template <typename T, typename ValueType = typename T::value_type>
ValueType randomChoice(const T &container, const std::vector<double> &weights = {});
private:
std::mt19937 m_Mt;
explicit RandomGenerator();
};
template <typename T, typename ValueType>
ValueType RandomGenerator::randomChoice(const T &container, const std::vector<double> &weights)
{
if (container.empty()) {
return ValueType{};
}
// Generates weights for each element: if the weights passed in parameter are malformed (the
// number of weights defined is inconsistent with the number of elements in the container, or
// all weights are zero), default weights are used
auto nbIndexes = container.size();
std::vector<double> indexWeights(nbIndexes);
if (weights.size() != nbIndexes || std::all_of(weights.cbegin(), weights.cend(),
[](const auto &val) { return val == 0.; })) {
std::fill(indexWeights.begin(), indexWeights.end(), 1.);
}
else {
std::copy(weights.begin(), weights.end(), indexWeights.begin());
}
// Performs a draw to determine the index to return
std::discrete_distribution<> d{indexWeights.cbegin(), indexWeights.cend()};
return container.at(d(m_Mt));
}
#endif // SCIQLOP_FUZZINGUTILS