Mercurial > hg > CbC > CbC_gcc
comparison gcc/ada/libgnat/g-rannum.ads @ 111:04ced10e8804
gcc 7
author | kono |
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date | Fri, 27 Oct 2017 22:46:09 +0900 |
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children | 84e7813d76e9 |
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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) 2007-2017, 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 ------------------------------------------------------------------------------ | |
31 | |
32 -- Extended pseudo-random number generation | |
33 | |
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. | |
38 | |
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. | |
44 | |
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. | |
49 | |
50 -- Note: this package is marked SPARK_Mode Off, because functions Random work | |
51 -- by side-effect to change the value of the generator, hence they should not | |
52 -- be called from SPARK code. | |
53 | |
54 with System.Random_Numbers; | |
55 with Interfaces; use Interfaces; | |
56 | |
57 package GNAT.Random_Numbers with | |
58 SPARK_Mode => Off | |
59 is | |
60 type Generator is limited private; | |
61 subtype Initialization_Vector is | |
62 System.Random_Numbers.Initialization_Vector; | |
63 | |
64 function Random (Gen : Generator) return Float; | |
65 function Random (Gen : Generator) return Long_Float; | |
66 -- Return pseudo-random numbers uniformly distributed on [0 .. 1) | |
67 | |
68 function Random (Gen : Generator) return Interfaces.Integer_32; | |
69 function Random (Gen : Generator) return Interfaces.Unsigned_32; | |
70 function Random (Gen : Generator) return Interfaces.Integer_64; | |
71 function Random (Gen : Generator) return Interfaces.Unsigned_64; | |
72 function Random (Gen : Generator) return Integer; | |
73 function Random (Gen : Generator) return Long_Integer; | |
74 -- Return pseudo-random numbers uniformly distributed on T'First .. T'Last | |
75 -- for various builtin integer types. | |
76 | |
77 generic | |
78 type Result_Subtype is (<>); | |
79 Default_Min : Result_Subtype := Result_Subtype'Val (0); | |
80 function Random_Discrete | |
81 (Gen : Generator; | |
82 Min : Result_Subtype := Default_Min; | |
83 Max : Result_Subtype := Result_Subtype'Last) return Result_Subtype; | |
84 -- Returns pseudo-random numbers uniformly distributed on Min .. Max | |
85 | |
86 generic | |
87 type Result_Subtype is delta <>; | |
88 Default_Min : Result_Subtype := 0.0; | |
89 function Random_Ordinary_Fixed | |
90 (Gen : Generator; | |
91 Min : Result_Subtype := Default_Min; | |
92 Max : Result_Subtype := Result_Subtype'Last) return Result_Subtype; | |
93 -- Returns pseudo-random numbers uniformly distributed on Min .. Max | |
94 | |
95 generic | |
96 type Result_Subtype is delta <> digits <>; | |
97 Default_Min : Result_Subtype := 0.0; | |
98 function Random_Decimal_Fixed | |
99 (Gen : Generator; | |
100 Min : Result_Subtype := Default_Min; | |
101 Max : Result_Subtype := Result_Subtype'Last) return Result_Subtype; | |
102 -- Returns pseudo-random numbers uniformly distributed on Min .. Max | |
103 | |
104 generic | |
105 type Result_Subtype is digits <>; | |
106 function Random_Float (Gen : Generator) return Result_Subtype; | |
107 -- Returns pseudo-random numbers uniformly distributed on [0.0 .. 1.0) | |
108 | |
109 function Random_Gaussian (Gen : Generator) return Long_Float; | |
110 function Random_Gaussian (Gen : Generator) return Float; | |
111 -- Returns pseudo-random numbers normally distributed value with mean 0 | |
112 -- and standard deviation 1.0. | |
113 | |
114 procedure Reset (Gen : out Generator); | |
115 -- Re-initialize the state of Gen from the time of day | |
116 | |
117 procedure Reset | |
118 (Gen : out Generator; | |
119 Initiator : Initialization_Vector); | |
120 procedure Reset | |
121 (Gen : out Generator; | |
122 Initiator : Interfaces.Integer_32); | |
123 procedure Reset | |
124 (Gen : out Generator; | |
125 Initiator : Interfaces.Unsigned_32); | |
126 procedure Reset | |
127 (Gen : out Generator; | |
128 Initiator : Integer); | |
129 -- Re-initialize Gen based on the Initiator in various ways. Identical | |
130 -- values of Initiator cause identical sequences of values. | |
131 | |
132 procedure Reset (Gen : out Generator; From_State : Generator); | |
133 -- Causes the state of Gen to be identical to that of From_State; Gen | |
134 -- and From_State will produce identical sequences of values subsequently. | |
135 | |
136 procedure Reset (Gen : out Generator; From_Image : String); | |
137 function Image (Gen : Generator) return String; | |
138 -- The call | |
139 -- Reset (Gen2, Image (Gen1)) | |
140 -- has the same effect as Reset (Gen2, Gen1); | |
141 | |
142 Max_Image_Width : constant := | |
143 System.Random_Numbers.Max_Image_Width + 2 + 20 + 5; | |
144 -- Maximum possible length of result of Image (...) | |
145 | |
146 private | |
147 | |
148 type Generator is limited record | |
149 Rep : System.Random_Numbers.Generator; | |
150 | |
151 Have_Gaussian : Boolean; | |
152 -- The algorithm used for Random_Gaussian produces deviates in | |
153 -- pairs. Have_Gaussian is true iff Random_Gaussian has returned one | |
154 -- member of the pair and Next_Gaussian contains the other. | |
155 | |
156 Next_Gaussian : Long_Float; | |
157 -- Next random deviate to be produced by Random_Gaussian, if | |
158 -- Have_Gaussian. | |
159 end record; | |
160 | |
161 end GNAT.Random_Numbers; |