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/trunk/bench/vhdl/tb_rng.vhd
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----------------------------------------------------------------------
---- ----
---- Testbench for Rand number generator library. ----
---- ----
---- This file is part of the Random Number Generator project ----
---- http://www.opencores.org/cores/rng_lib/ ----
---- ----
---- Description ----
---- The test bench will generate 10000 random numbers from each ----
---- distribution and do a simple plot of the distributions. ----
---- ----
---- To Do: ----
---- - ----
---- ----
---- Author(s): ----
---- - Geir Drange, gedra@opencores.org ----
---- ----
----------------------------------------------------------------------
---- ----
---- Copyright (C) 2004 Authors and OPENCORES.ORG ----
---- ----
---- This source file may be used and distributed without ----
---- restriction provided that this copyright statement is not ----
---- removed from the file and that any derivative work contains ----
---- the original copyright notice and the associated disclaimer. ----
---- ----
---- This source file 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 2.0 of the License, or (at your option) any ----
---- later version. ----
---- ----
---- This source 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 source; if not, download it ----
---- from http://www.gnu.org/licenses/gpl.txt ----
---- ----
----------------------------------------------------------------------
--
-- CVS Revision History
--
-- $Log: not supported by cvs2svn $
--
--
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
use std.textio.all;
use work.rng_lib.all;
 
entity tb_rng is
 
end tb_rng;
 
architecture behav of tb_rng is
 
constant BIN_COUNT : integer := 15;
constant PLOT_HEIGHT : real := 40.0;
constant RAND_COUNT : integer := 10000;
type rand_array is array (0 to RAND_COUNT - 1) of real; -- array used for plot
type bin_array is array (0 to BIN_COUNT - 1) of integer;
 
-- Plot a distribution of the numbers that are between lo,hi values
impure function plot_dist (numbs: rand_array; lo, hi: real) return integer is
variable bins: bin_array;
variable bin_size, height : real;
variable idx, max: integer;
variable bar : line;
begin
-- reset bins
for i in 0 to BIN_COUNT - 1 loop
bins(i) := 0;
end loop;
-- sort numbers into bins
bin_size := (hi - lo) / real(BIN_COUNT);
for i in 0 to RAND_COUNT - 1 loop
if numbs(i) > lo and numbs(i) < hi then
idx := integer(((numbs(i) - lo) / bin_size) - 0.5);
if idx > BIN_COUNT - 1 then
idx := BIN_COUNT - 1;
elsif idx < 0 then
idx := 0;
end if;
bins(idx) := bins(idx) + 1;
end if;
end loop;
-- find largest bin
max := 0;
for i in 0 to BIN_COUNT - 1 loop
if bins(i) > max then
max := bins(i);
end if;
end loop;
-- plot bins
for i in 0 to BIN_COUNT - 1 loop
height := PLOT_HEIGHT * real(bins(i)) / real(max);
for j in 1 to integer(height) loop
write(bar, string'("*"));
end loop;
writeline(OUTPUT, bar);
end loop;
return 0;
end plot_dist;
begin
 
p1: process
variable r_uni, r_gauss, r_exp : rand_var;
variable r_poisson : rand_var;
variable txt : line;
variable a: integer;
variable numbs : rand_array;
begin
-- Test the uniform distribution
r_uni := init_uniform(0, 0, 0, 0.0, 10.0); -- range 0 to 10
t1: for i in 0 to RAND_COUNT - 1 loop
r_uni := rand(r_uni);
numbs(i) := r_uni.rnd;
end loop t1;
write(txt, string'("Uniform distribution:"));
writeline(OUTPUT, txt);
a := plot_dist (numbs, 0.0, 10.0);
-- Test the gaussian distribution
r_gauss := init_gaussian(0, 0, 0, 0.0, 10.0); -- mean=0, stdev=10
t2: for i in 0 to RAND_COUNT - 1 loop
r_gauss := rand(r_gauss);
numbs(i) := r_gauss.rnd;
end loop t2;
write(txt, string'("Gaussian distribution:"));
writeline(OUTPUT, txt);
a := plot_dist (numbs, -20.0, 20.0);
-- Test the exponential distribution
r_exp := init_exponential(0, 0, 0, 10.0); -- mean=10
t3: for i in 0 to RAND_COUNT - 1 loop
r_exp := rand(r_exp);
numbs(i) := r_exp.rnd;
end loop t3;
write(txt, string'("Exponential distribution:"));
writeline(OUTPUT, txt);
a := plot_dist (numbs, 0.0, 20.0);
wait for 1 ns;
report "End of simulation! (ignore this failure)"
severity failure;
wait;
end process p1;
end behav;

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