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1 ------------------------------------------------------------------------------
2 -- --
3 -- GNAT RUN-TIME COMPONENTS --
4 -- --
5 -- G N A T . R A N D O M _ N U M B E R S --
6 -- --
7 -- S p e c --
8 -- --
9 -- Copyright (C) 2007-2013, Free Software Foundation, Inc. --
10 -- --
11 -- GNAT is free software; you can redistribute it and/or modify it under --
12 -- terms of the GNU General Public License as published by the Free Soft- --
13 -- ware Foundation; either version 3, or (at your option) any later ver- --
14 -- sion. GNAT is distributed in the hope that it will be useful, but WITH- --
15 -- OUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY --
16 -- or FITNESS FOR A PARTICULAR PURPOSE. --
17 -- --
18 -- As a special exception under Section 7 of GPL version 3, you are granted --
19 -- additional permissions described in the GCC Runtime Library Exception, --
20 -- version 3.1, as published by the Free Software Foundation. --
21 -- --
22 -- You should have received a copy of the GNU General Public License and --
23 -- a copy of the GCC Runtime Library Exception along with this program; --
24 -- see the files COPYING3 and COPYING.RUNTIME respectively. If not, see --
25 -- <http://www.gnu.org/licenses/>. --
26 -- --
27 -- GNAT was originally developed by the GNAT team at New York University. --
28 -- Extensive contributions were provided by Ada Core Technologies Inc. --
29 -- --
30 ------------------------------------------------------------------------------
32 -- Extended pseudo-random number generation
34 -- This package provides a type representing pseudo-random number generators,
35 -- and subprograms to extract various distributions of numbers from them. It
36 -- also provides types for representing initialization values and snapshots of
37 -- internal generator state, which permit reproducible pseudo-random streams.
39 -- The generator currently provided by this package has an extremely long
40 -- period (at least 2**19937-1), and passes the Big Crush test suite, with the
41 -- exception of the two linear complexity tests. Therefore, it is suitable for
42 -- simulations, but should not be used as a cryptographic pseudo-random source
43 -- without additional processing.
45 -- The design of this package effects is simplified compared to the design
46 -- of standard Ada.Numerics packages. There is no separate State type; the
47 -- Generator type itself suffices for this purpose. The parameter modes on
48 -- Reset procedures better reflect the effect of these routines.
50 with System.Random_Numbers;
51 with Interfaces; use Interfaces;
53 package GNAT.Random_Numbers is
55 type Generator is limited private;
56 subtype Initialization_Vector is
57 System.Random_Numbers.Initialization_Vector;
59 function Random (Gen : Generator) return Float;
60 function Random (Gen : Generator) return Long_Float;
61 -- Return pseudo-random numbers uniformly distributed on [0 .. 1)
63 function Random (Gen : Generator) return Interfaces.Integer_32;
64 function Random (Gen : Generator) return Interfaces.Unsigned_32;
65 function Random (Gen : Generator) return Interfaces.Integer_64;
66 function Random (Gen : Generator) return Interfaces.Unsigned_64;
67 function Random (Gen : Generator) return Integer;
68 function Random (Gen : Generator) return Long_Integer;
69 -- Return pseudo-random numbers uniformly distributed on T'First .. T'Last
70 -- for various builtin integer types.
72 generic
73 type Result_Subtype is (<>);
74 Default_Min : Result_Subtype := Result_Subtype'Val (0);
75 function Random_Discrete
76 (Gen : Generator;
77 Min : Result_Subtype := Default_Min;
78 Max : Result_Subtype := Result_Subtype'Last) return Result_Subtype;
79 -- Returns pseudo-random numbers uniformly distributed on Min .. Max
81 generic
82 type Result_Subtype is delta <>;
83 Default_Min : Result_Subtype := 0.0;
84 function Random_Ordinary_Fixed
85 (Gen : Generator;
86 Min : Result_Subtype := Default_Min;
87 Max : Result_Subtype := Result_Subtype'Last) return Result_Subtype;
88 -- Returns pseudo-random numbers uniformly distributed on Min .. Max
90 generic
91 type Result_Subtype is delta <> digits <>;
92 Default_Min : Result_Subtype := 0.0;
93 function Random_Decimal_Fixed
94 (Gen : Generator;
95 Min : Result_Subtype := Default_Min;
96 Max : Result_Subtype := Result_Subtype'Last) return Result_Subtype;
97 -- Returns pseudo-random numbers uniformly distributed on Min .. Max
99 generic
100 type Result_Subtype is digits <>;
101 function Random_Float (Gen : Generator) return Result_Subtype;
102 -- Returns pseudo-random numbers uniformly distributed on [0.0 .. 1.0)
104 function Random_Gaussian (Gen : Generator) return Long_Float;
105 function Random_Gaussian (Gen : Generator) return Float;
106 -- Returns pseudo-random numbers normally distributed value with mean 0
107 -- and standard deviation 1.0.
109 procedure Reset (Gen : out Generator);
110 -- Re-initialize the state of Gen from the time of day
112 procedure Reset
113 (Gen : out Generator;
114 Initiator : Initialization_Vector);
115 procedure Reset
116 (Gen : out Generator;
117 Initiator : Interfaces.Integer_32);
118 procedure Reset
119 (Gen : out Generator;
120 Initiator : Interfaces.Unsigned_32);
121 procedure Reset
122 (Gen : out Generator;
123 Initiator : Integer);
124 -- Re-initialize Gen based on the Initiator in various ways. Identical
125 -- values of Initiator cause identical sequences of values.
127 procedure Reset (Gen : out Generator; From_State : Generator);
128 -- Causes the state of Gen to be identical to that of From_State; Gen
129 -- and From_State will produce identical sequences of values subsequently.
131 procedure Reset (Gen : out Generator; From_Image : String);
132 function Image (Gen : Generator) return String;
133 -- The call
134 -- Reset (Gen2, Image (Gen1))
135 -- has the same effect as Reset (Gen2, Gen1);
137 Max_Image_Width : constant :=
138 System.Random_Numbers.Max_Image_Width + 2 + 20 + 5;
139 -- Maximum possible length of result of Image (...)
141 private
143 type Generator is limited record
144 Rep : System.Random_Numbers.Generator;
146 Have_Gaussian : Boolean;
147 -- The algorithm used for Random_Gaussian produces deviates in
148 -- pairs. Have_Gaussian is true iff Random_Gaussian has returned one
149 -- member of the pair and Next_Gaussian contains the other.
151 Next_Gaussian : Long_Float;
152 -- Next random deviate to be produced by Random_Gaussian, if
153 -- Have_Gaussian.
154 end record;
156 end GNAT.Random_Numbers;