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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "random_normal_feature.h"
#include "utils.h"
#include <vespa/searchlib/fef/properties.h>
#include <vespa/vespalib/util/stash.h>
#include <chrono>
#include <cinttypes>
#include <vespa/log/log.h>
LOG_SETUP(".features.randomnormalfeature");
namespace search::features {
RandomNormalExecutor::RandomNormalExecutor(uint64_t seed, double mean, double stddev)
: fef::FeatureExecutor(),
_rnd(mean, stddev, true)
{
LOG(debug, "RandomNormalExecutor: seed=%" PRIu64 ", mean=%f, stddev=%f", seed, mean, stddev);
_rnd.seed(seed);
}
void
RandomNormalExecutor::execute(uint32_t)
{
outputs().set_number(0, _rnd.next());
}
RandomNormalBlueprint::RandomNormalBlueprint() :
fef::Blueprint("randomNormal"),
_seed(0),
_mean(0.0),
_stddev(1.0)
{
}
void
RandomNormalBlueprint::visitDumpFeatures(const fef::IIndexEnvironment &, fef::IDumpFeatureVisitor &) const
{
}
fef::Blueprint::UP
RandomNormalBlueprint::createInstance() const
{
return std::make_unique<RandomNormalBlueprint>();
}
bool
RandomNormalBlueprint::setup(const fef::IIndexEnvironment & env, const fef::ParameterList & params)
{
fef::Property p = env.getProperties().lookup(getName(), "seed");
if (p.found()) {
_seed = util::strToNum<uint64_t>(p.get());
}
if (params.size() > 0) {
_mean = params[0].asDouble();
}
if (params.size() > 1) {
_stddev = params[1].asDouble();
}
describeOutput("out" , "A random value drawn from the Gaussian distribution");
return true;
}
using namespace std::chrono;
fef::FeatureExecutor &
RandomNormalBlueprint::createExecutor(const fef::IQueryEnvironment &, vespalib::Stash &stash) const
{
uint64_t seed = _seed;
if (seed == 0) {
seed = static_cast<uint64_t>(duration_cast<microseconds>(system_clock::now().time_since_epoch()).count()) ^
reinterpret_cast<uint64_t>(&seed); // results in different seeds in different threads
}
return stash.create<RandomNormalExecutor>(seed, _mean, _stddev);
}
}
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