/usr/include/octave-4.0.3/octave/oct-rand.h is in liboctave-dev 4.0.3-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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Copyright (C) 2003-2015 John W. Eaton
This file is part of Octave.
Octave is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the
Free Software Foundation; either version 3 of the License, or (at your
option) any later version.
Octave is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.
You should have received a copy of the GNU General Public License
along with Octave; see the file COPYING. If not, see
<http://www.gnu.org/licenses/>.
*/
#if !defined (octave_oct_rand_h)
#define octave_oct_rand_h 1
#include <map>
#include <string>
#include "dColVector.h"
#include "dNDArray.h"
#include "fNDArray.h"
#include "lo-ieee.h"
class
OCTAVE_API
octave_rand
{
protected:
octave_rand (void);
public:
~octave_rand (void) { }
static bool instance_ok (void);
// Return the current seed.
static double seed (void)
{
return instance_ok () ? instance->do_seed () : octave_NaN;
}
// Set the seed.
static void seed (double s)
{
if (instance_ok ())
instance->do_seed (s);
}
// Reset the seed.
static void reset (void)
{
if (instance_ok ())
instance->do_reset ();
}
// Return the current state.
static ColumnVector state (const std::string& d = std::string ())
{
return instance_ok () ? instance->do_state (d) : ColumnVector ();
}
// Set the current state/
static void state (const ColumnVector &s,
const std::string& d = std::string ())
{
if (instance_ok ())
instance->do_state (s, d);
}
// Reset the current state/
static void reset (const std::string& d)
{
if (instance_ok ())
instance->do_reset (d);
}
// Return the current distribution.
static std::string distribution (void)
{
return instance_ok () ? instance->do_distribution () : std::string ();
}
// Set the current distribution. May be either "uniform" (the
// default), "normal", "exponential", "poisson", or "gamma".
static void distribution (const std::string& d)
{
if (instance_ok ())
instance->do_distribution (d);
}
static void uniform_distribution (void)
{
if (instance_ok ())
instance->do_uniform_distribution ();
}
static void normal_distribution (void)
{
if (instance_ok ())
instance->do_normal_distribution ();
}
static void exponential_distribution (void)
{
if (instance_ok ())
instance->do_exponential_distribution ();
}
static void poisson_distribution (void)
{
if (instance_ok ())
instance->do_poisson_distribution ();
}
static void gamma_distribution (void)
{
if (instance_ok ())
instance->do_gamma_distribution ();
}
// Return the next number from the sequence.
static double scalar (double a = 1.0)
{
return instance_ok () ? instance->do_scalar (a) : octave_NaN;
}
// Return the next number from the sequence.
static float float_scalar (float a = 1.0)
{
return instance_ok () ? instance->do_float_scalar (a) : octave_Float_NaN;
}
// Return an array of numbers from the sequence.
static Array<double> vector (octave_idx_type n, double a = 1.0)
{
return instance_ok () ? instance->do_vector (n, a) : Array<double> ();
}
// Return an array of numbers from the sequence.
static Array<float> float_vector (octave_idx_type n, float a = 1.0)
{
return instance_ok () ? instance->do_float_vector (n, a) : Array<float> ();
}
// Return an N-dimensional array of numbers from the sequence,
// filled in column major order.
static NDArray nd_array (const dim_vector& dims, double a = 1.0)
{
return instance_ok () ? instance->do_nd_array (dims, a) : NDArray ();
}
// Return an N-dimensional array of numbers from the sequence,
// filled in column major order.
static FloatNDArray float_nd_array (const dim_vector& dims, float a = 1.0)
{
return instance_ok () ? instance->do_float_nd_array (dims, a)
: FloatNDArray ();
}
private:
static octave_rand *instance;
static void cleanup_instance (void) { delete instance; instance = 0; }
enum
{
unknown_dist,
uniform_dist,
normal_dist,
expon_dist,
poisson_dist,
gamma_dist
};
// Current distribution of random numbers.
int current_distribution;
// If TRUE, use old RANLIB generators. Otherwise, use Mersenne
// Twister generator.
bool use_old_generators;
// Saved MT states.
std::map<int, ColumnVector> rand_states;
// Return the current seed.
double do_seed (void);
// Set the seed.
void do_seed (double s);
// Reset the seed.
void do_reset ();
// Return the current state.
ColumnVector do_state (const std::string& d);
// Set the current state/
void do_state (const ColumnVector &s, const std::string& d);
// Reset the current state/
void do_reset (const std::string& d);
// Return the current distribution.
std::string do_distribution (void);
// Set the current distribution. May be either "uniform" (the
// default), "normal", "exponential", "poisson", or "gamma".
void do_distribution (const std::string& d);
void do_uniform_distribution (void);
void do_normal_distribution (void);
void do_exponential_distribution (void);
void do_poisson_distribution (void);
void do_gamma_distribution (void);
// Return the next number from the sequence.
double do_scalar (double a = 1.);
// Return the next number from the sequence.
float do_float_scalar (float a = 1.);
// Return an array of numbers from the sequence.
Array<double> do_vector (octave_idx_type n, double a = 1.);
// Return an array of numbers from the sequence.
Array<float> do_float_vector (octave_idx_type n, float a = 1.);
// Return an N-dimensional array of numbers from the sequence,
// filled in column major order.
NDArray do_nd_array (const dim_vector& dims, double a = 1.);
// Return an N-dimensional array of numbers from the sequence,
// filled in column major order.
FloatNDArray do_float_nd_array (const dim_vector& dims, float a = 1.);
// Some helper functions.
void initialize_ranlib_generators (void);
void initialize_mersenne_twister (void);
ColumnVector get_internal_state (void);
void save_state (void);
int get_dist_id (const std::string& d);
void set_internal_state (const ColumnVector& s);
void switch_to_generator (int dist);
void fill (octave_idx_type len, double *v, double a);
void fill (octave_idx_type len, float *v, float a);
};
#endif
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