diff options
| author | Marcus Müller <mueller@kit.edu> | 2019-10-05 16:06:04 +0200 |
|---|---|---|
| committer | Martin Braun <martin.braun@ettus.com> | 2020-01-02 18:06:50 -0800 |
| commit | 863490f489c2e0cb73ee5a4bff8f288fdf916cd5 (patch) | |
| tree | 12283860f92715565ce17ffa2fc815d543eb22b1 /gnuradio-runtime/lib/math/random.cc | |
| parent | 2dd057b54d20298bfc7cacdf090fc026b462ea7e (diff) | |
runtime: random facilities use C++11 (minus boost)
This also includes removing the new/delete for the local objects. C++
doesn't need you to manually new/delete objects with definite
lifetime...
Diffstat (limited to 'gnuradio-runtime/lib/math/random.cc')
| -rw-r--r-- | gnuradio-runtime/lib/math/random.cc | 40 |
1 files changed, 7 insertions, 33 deletions
diff --git a/gnuradio-runtime/lib/math/random.cc b/gnuradio-runtime/lib/math/random.cc index 223e9141fe..ff669d3af7 100644 --- a/gnuradio-runtime/lib/math/random.cc +++ b/gnuradio-runtime/lib/math/random.cc @@ -47,28 +47,16 @@ namespace gr { random::random(unsigned int seed, int min_integer, int max_integer) + : d_rng(), d_integer_dis(0, 1) { d_gauss_stored = false; // set gasdev (gauss distributed numbers) on calculation state // Setup random number generators - d_rng = new boost::mt19937; // random numbers are generated here. - d_uniform = new boost::uniform_real<float>; // map random number to distribution - d_integer_dis = new boost::uniform_int<>(0, 1); // another "mapper" - d_generator = NULL; // MUST be reinstantiated on every call to reseed. - d_integer_generator = - NULL; // MUST be reinstantiated on everytime d_rng or d_integer_dis is changed. reseed(seed); // set seed for random number generator set_integer_limits(min_integer, max_integer); } -random::~random() -{ - delete d_rng; - delete d_uniform; - delete d_integer_dis; - delete d_generator; - delete d_integer_generator; -} +random::~random() {} /* * Seed is initialized with time if the given seed is 0. Otherwise the seed is taken @@ -78,43 +66,29 @@ void random::reseed(unsigned int seed) { d_seed = seed; if (d_seed == 0) { - d_rng->seed(); + d_rng.seed(); } else { - d_rng->seed(d_seed); + d_rng.seed(d_seed); } - // reinstantiate generators. Otherwise reseed doesn't take effect. - delete d_generator; - d_generator = - new boost::variate_generator<boost::mt19937&, boost::uniform_real<float>>( - *d_rng, *d_uniform); // create number generator in [0,1) from boost.random - delete d_integer_generator; - d_integer_generator = - new boost::variate_generator<boost::mt19937&, boost::uniform_int<>>( - *d_rng, *d_integer_dis); } void random::set_integer_limits(const int minimum, const int maximum) { // boost expects integer limits defined as [minimum, maximum] which is unintuitive. // use the expected half open interval behavior! [minimum, maximum)! - delete d_integer_generator; - delete d_integer_dis; - d_integer_dis = new boost::uniform_int<>(minimum, maximum - 1); - d_integer_generator = - new boost::variate_generator<boost::mt19937&, boost::uniform_int<>>( - *d_rng, *d_integer_dis); + d_integer_dis = std::uniform_int_distribution<>(minimum, maximum - 1); } /*! * Uniform random integers in the range set by 'set_integer_limits' [min, max). */ -int random::ran_int() { return (*d_integer_generator)(); } +int random::ran_int() { return d_integer_dis(d_rng); } /* * Returns uniformly distributed numbers in [0,1) taken from boost.random using a Mersenne * twister */ -float random::ran1() { return (*d_generator)(); } +float random::ran1() { return d_uniform(d_rng); } /* * Returns a normally distributed deviate with zero mean and variance 1. |