This file is indexed.

/usr/include/root/Math/Random.h is in libroot-math-mathmore-dev 5.34.30-0ubuntu8.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
// @(#)root/mathmore:$Id$
// Author: L. Moneta, A. Zsenei   08/2005 

 /**********************************************************************
  *                                                                    *
  * Copyright (c) 2004 ROOT Foundation,  CERN/PH-SFT                   *
  *                                                                    *
  * This library 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 2     *
  * of the License, or (at your option) any later version.             *
  *                                                                    *
  * This library 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 this library (see file COPYING); if not, write          *
  * to the Free Software Foundation, Inc., 59 Temple Place, Suite      *
  * 330, Boston, MA 02111-1307 USA, or contact the author.             *
  *                                                                    *
  **********************************************************************/

// Header file for class GSLRandom
// 
// Created by: moneta  at Sun Nov 21 16:26:03 2004
// 
// Last update: Sun Nov 21 16:26:03 2004
// 
#ifndef ROOT_Math_Random
#define ROOT_Math_Random

#include <string> 
#include <vector> 

/**
   @defgroup Random Random number generators and distributions
*/ 



namespace ROOT {
namespace Math {


//_____________________________________________________________________________________
  /**
     User class for MathMore random numbers template on the Engine type. 
     The API of this class followed that of the class ROOT::TRandom. 
     It must be implemented using as Engine one of the derived classes of 
     ROOT::Math::GSLRandomEngine, like ROOT::Math::GSLRngMT

     @ingroup Random 

   */ 
  template < class Engine> 
  class Random { 

  public: 


    /**
       Create a Random generator. Use default engine constructor. 
       Engine will  be initialized via Initialize() function in order to 
       allocate resources
     */
    Random() {
      fEngine.Initialize(); 
    } 

    /**
       Create a Random generator based using teh default enfing constructor and 
       then setting the given seed. 
       Engine will  be initialized via Initialize() function in order to 
       allocate resources
     */
    explicit Random(unsigned int seed)  {
      fEngine.Initialize(); 
      fEngine.SetSeed(seed);
    } 

    /**
       Create a Random generator based on a provided generic engine.
       Engine will  be initialized via Initialize() function in order to 
       allocate resources
     */
    explicit Random(const Engine & e) : fEngine(e) {
      fEngine.Initialize(); 
    } 

    /**
       Destructor: call Terminate() function of engine to free any 
       allocated resource
     */
    ~Random() { 
      fEngine.Terminate(); 
    }

    /**
       Generate random numbers between ]0,1]
       0 is excluded and 1 is included
     */
    double Uniform(double x=1.0) { 
      return x*fEngine(); 
    }
    /** 
       Generate random numbers between ]0,1]
       0 is excluded and 1 is included
       Function to preserve ROOT Trandom compatibility 
     */  
   double Rndm() { 
      return fEngine(); 
    }

    /** 
       Generate an array of random numbers between ]0,1]
       0 is excluded and 1 is included
       Function to preserve ROOT Trandom compatibility 
     */ 
    void RndmArray(int n, double * array) { 
      fEngine.RandomArray(array, array+n);
    }

    /**
       Return the type (name) of the used generator 
     */
    std::string Type() const { 
      return fEngine.Name();
    }

    /**
       Return the size of the generator state 
     */
    unsigned int EngineSize() const { 
      return fEngine.Size();
    }

    /** 
     set the random generator seed
     */ 
    void SetSeed(unsigned int seed) { 
      return  fEngine.SetSeed(seed);
    }
    
    /** Random  Distributions 
     Use naming and signatures compatible with ROOT TRandom
     **/

    /**
       Gaussian distribution. Default method (use Ziggurat)
     */
    double Gaus(double mean = 0, double sigma = 1) { 
      return mean + fEngine.GaussianZig(sigma);
    }  

    /**
       Gaussian distribution (Box-Muller method)
     */
    double GausBM(double mean = 0, double sigma = 1) { 
      return mean + fEngine.Gaussian(sigma);
    }  

    /**
       Gaussian distribution (Ratio Method)
     */
    double GausR(double mean = 0, double sigma = 1) { 
      return mean + fEngine.GaussianRatio(sigma);
    }  

    /**
       Gaussian Tail distribution
     */
    double GaussianTail(double a, double sigma = 1) { 
      return fEngine.GaussianTail(a,sigma);
    }
  
    /**
       Bivariate Gaussian distribution with correlation
     */
    void Gaussian2D(double sigmaX, double sigmaY, double rho, double &x, double &y) { 
      fEngine.Gaussian2D(sigmaX, sigmaY, rho, x, y);
    }
    
    /**
       Exponential distribution
     */
    double Exp(double tau) { 
      return fEngine.Exponential(tau);
    }
    /**
       Breit Wigner distribution 
    */
    double BreitWigner(double mean = 0., double gamma = 1) { 
      return mean + fEngine.Cauchy( gamma/2.0 );
    } 

    /**
       Landau distribution
     */
    double Landau(double mean = 0, double sigma = 1) { 
      return mean + sigma*fEngine.Landau();
    } 

    /**
       Gamma distribution
     */
    double Gamma(double a, double b) { 
      return fEngine.Gamma(a,b);
    } 

    /**
       Log Normal distribution
     */
    double LogNormal(double zeta, double sigma) { 
      return fEngine.LogNormal(zeta,sigma);
    }

    /**
       Chi square distribution
     */
    double ChiSquare(double nu) { 
      return fEngine.ChiSquare(nu);
    }

    /**
       F distrbution
     */
    double FDist(double nu1, double nu2) { 
      return fEngine.FDist(nu1,nu2);
    }
    
    /**
       t student distribution
     */
    double tDist(double nu) { 
      return fEngine.tDist(nu);
    }

    /**
       generate random numbers in a 2D circle of radious 1 
     */
    void Circle(double &x, double &y, double r = 1) { 
      fEngine.Dir2D(x,y);
      x *= r;
      y *= r;
    } 

    /**
       generate random numbers in a 3D sphere of radious 1 
     */
    void Sphere(double &x, double &y, double &z,double r = 1) { 
      fEngine.Dir3D(x,y,z);
      x *= r;
      y *= r;
      z *= r;
    } 
  
    /**
       Poisson distribution
     */
    unsigned int Poisson(double mu) { 
      return fEngine.Poisson(mu); 
    }

    /**
       Binomial distribution
     */
    unsigned int Binomial(unsigned int ntot, double prob) { 
      return fEngine.Binomial(prob,ntot);
    }

    /**
       Negative Binomial distribution
       First parameter is n, second is probability
       To be consistent with Random::Binomial
     */
     unsigned int NegativeBinomial(double n, double prob) { 
      return fEngine.NegativeBinomial(prob,n);
    }

    /**
       Multinomial distribution
     */
    std::vector<unsigned int> Multinomial( unsigned int ntot, const std::vector<double> & p ) { 
      return fEngine.Multinomial(ntot,p);
    }


  private: 

    Engine fEngine; 

  }; 

} // namespace Math
} // namespace ROOT

#ifndef ROOT_Math_GSLRndmEngines
#include "Math/GSLRndmEngines.h"
#endif

namespace ROOT {
namespace Math {


   typedef   Random<ROOT::Math::GSLRngMT>     RandomMT;
   typedef   Random<ROOT::Math::GSLRngTaus>   RandomTaus;
   typedef   Random<ROOT::Math::GSLRngRanLux> RandomRanLux;
   typedef   Random<ROOT::Math::GSLRngGFSR4>  RandomGFSR4;


} // namespace Math
} // namespace ROOT


#endif /* ROOT_Math_Random */