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-- Copyright (C) 1996 Morgan Kaufmann Publishers, Inc
-- This file is part of VESTs (Vhdl tESTs).
-- VESTs 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.
-- VESTs 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 VESTs; if not, write to the Free Software Foundation,
-- Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
-- ---------------------------------------------------------------------
--
-- $Id: ch_19_random-b.vhd,v 1.3 2001-10-26 16:29:36 paw Exp $
-- $Revision: 1.3 $
--
-- ---------------------------------------------------------------------
library math;
package body random is
use math.math_real;
constant sample_seeds : seed_array(0 to 50)
:= ( 0 => (1, 1),
1 => (1919456777, 2006618587),
2 => (928906921, 476680813),
3 => (715788085, 762347824),
4 => (366002668, 1804336679),
5 => (1866585254, 247488051),
6 => (1342990589, 1539624735),
7 => (677313287, 1675609237),
8 => (644816519, 2026475269),
9 => (1654953611, 564421524),
10 => (1020104619, 712556314),
11 => (609798541, 1592526288),
12 => (1106087470, 1468242308),
13 => (1378844312, 646793513),
14 => (966261604, 481733031),
15 => (1407842093, 1316990206),
16 => (1705378215, 1930221363),
17 => (206887499, 1810320799),
18 => (1681633030, 2114795480),
19 => (71194926, 1642522201),
20 => (663275331, 1947299255),
21 => (224432387, 944962866),
22 => (1156075861, 1866435087),
23 => (1670357576, 1247152991),
24 => (846934138, 1673364736),
25 => (1972636955, 1404522710),
26 => (533484185, 592078395),
27 => (1989468008, 1409246301),
28 => (697086615, 1975145057),
29 => (111393259, 1673620688),
30 => (1352201163, 872947497),
31 => (1342844190, 877696585),
32 => (938770066, 1222894811),
33 => (1144599578, 661919919),
34 => (1750521407, 269946538),
35 => (457892500, 1256953520),
36 => (1678589945, 356027520),
37 => (1484458924, 2103068828),
38 => (1296978761, 2124096638),
39 => (1702642440, 1161000593),
40 => (1244690090, 2016422304),
41 => (1858682943, 1053836731),
42 => (1496964676, 701079294),
43 => (432696952, 602526767),
44 => (2097684438, 1264032473),
45 => (2115456834, 298917738),
46 => (432301768, 232430346),
47 => (1929812456, 758157910),
48 => (1655564027, 1062345086),
49 => (1116121051, 538424126),
50 => (844396720, 821616997) );
procedure init_fixed ( random_info : out random_info_record;
mean : in real ) is
begin
random_info.distribution := fixed;
random_info.mean := mean;
end procedure init_fixed;
procedure init_uniform ( random_info : out random_info_record;
lower_bound, upper_bound : in real;
seed : in seed_type ) is
begin
assert lower_bound <= upper_bound
report "init_uniform: lower_bound > upper_bound" severity failure;
random_info.distribution := uniform;
random_info.lower_bound := lower_bound;
random_info.upper_bound := upper_bound;
random_info.seed := seed;
end procedure init_uniform;
procedure init_exponential ( random_info : out random_info_record;
mean : in real;
seed : in seed_type ) is
begin
assert mean > 0.0
report "init_exponential: mean not positive" severity failure;
random_info.distribution := exponential;
random_info.mean := mean;
random_info.seed := seed;
end procedure init_exponential;
procedure generate_uniform ( random_info : inout random_info_record;
random_number : out real ) is
variable tmp : real;
begin
math_real.uniform(random_info.seed.seed1, random_info.seed.seed2, tmp);
random_number := random_info.lower_bound
+ tmp * (random_info.upper_bound - random_info.lower_bound);
end procedure generate_uniform;
procedure generate_exponential ( random_info : inout random_info_record;
random_number : out real ) is
variable tmp : real;
begin
loop
math_real.uniform(random_info.seed.seed1, random_info.seed.seed2, tmp);
exit when tmp /= 0.0;
end loop;
random_number := - random_info.mean * math_real.log(tmp);
end procedure generate_exponential;
procedure generate_random ( random_info : inout random_info_record;
random_number : out real ) is
begin
case random_info.distribution is
when fixed =>
random_number := random_info.mean;
when uniform =>
generate_uniform(random_info, random_number);
when exponential =>
generate_exponential(random_info, random_number);
end case;
end procedure generate_random;
end package body random;
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