Merged master 8748

This commit is contained in:
Jordan Sherer
2018-08-05 11:33:30 -04:00
parent 8f8772f1bd
commit 62899069bf
1222 changed files with 70382 additions and 406763 deletions
@@ -1,271 +0,0 @@
program jt65sim
! Generate simulated JT65 data for testing WSJT-X
use wavhdr
use packjt
use options
parameter (NMAX=54*12000) ! = 648,000
parameter (NFFT=10*65536,NH=NFFT/2)
type(hdr) h !Header for .wav file
integer*2 iwave(NMAX) !Generated waveform
integer*4 itone(126) !Channel symbols (values 0-65)
integer dgen(12) !Twelve 6-bit data symbols
integer sent(63) !RS(63,12) codeword
real*4 xnoise(NMAX) !Generated random noise
real*4 dat(NMAX) !Generated real data
complex cdat(NMAX) !Generated complex waveform
complex cspread(0:NFFT-1) !Complex amplitude for Rayleigh fading
complex z
real*8 f0,dt,twopi,phi,dphi,baud,fsample,freq,sps
character msg*22,fname*11,csubmode*1,c,optarg*500,numbuf*32
! character call1*5,call2*5
logical :: display_help=.false.,seed_prngs=.true.
type (option) :: long_options(8) = [ &
option ('help',.false.,'h','Display this help message',''), &
option ('sub-mode',.true.,'m','sub mode, default MODE=A','MODE'), &
option ('num-sigs',.true.,'n','number of signals per file, default SIGNALS=10','SIGNALS'), &
option ('doppler-spread',.true.,'d','Doppler spread, default SPREAD=0.0','SPREAD'), &
option ('time-offset',.true.,'t','Time delta, default SECONDS=0.0','SECONDS'), &
option ('num-files',.true.,'f','Number of files to generate, default FILES=1','FILES'), &
option ('no-prng-seed',.false.,'p','Do not seed PRNGs (use for reproducible tests)',''), &
option ('strength',.true.,'s','S/N in dB (2500Hz reference b/w), default SNR=0','SNR') ]
integer nprc(126) !Sync pattern
data nprc/1,0,0,1,1,0,0,0,1,1,1,1,1,1,0,1,0,1,0,0, &
0,1,0,1,1,0,0,1,0,0,0,1,1,1,0,0,1,1,1,1, &
0,1,1,0,1,1,1,1,0,0,0,1,1,0,1,0,1,0,1,1, &
0,0,1,1,0,1,0,1,0,1,0,0,1,0,0,0,0,0,0,1, &
1,0,0,0,0,0,0,0,1,1,0,1,0,0,1,0,1,1,0,1, &
0,1,0,1,0,0,1,1,0,0,1,0,0,1,0,0,0,0,1,1, &
1,1,1,1,1,1/
! Default parameters:
csubmode='A'
mode65=1
nsigs=10
fspread=0.
xdt=0.
snrdb=0.
nfiles=1
do
call getopt('hm:n:d:t:f:ps:',long_options,c,optarg,narglen,nstat,noffset,nremain,.true.)
if( nstat .ne. 0 ) then
exit
end if
select case (c)
case ('h')
display_help = .true.
case ('m')
read (optarg(:narglen), *) csubmode
if(csubmode.eq.'A') mode65=1
if(csubmode.eq.'B') mode65=2
if(csubmode.eq.'C') mode65=4
case ('n')
read (optarg(:narglen), *,err=10) nsigs
case ('d')
read (optarg(:narglen), *,err=10) fspread
case ('t')
read (optarg(:narglen), *) numbuf
if (numbuf(1:1) == '\') then
read (numbuf(2:), *,err=10) xdt
else
read (numbuf, *,err=10) xdt
end if
case ('f')
read (optarg(:narglen), *,err=10) nfiles
case ('p')
seed_prngs=.false.
case ('s')
read (optarg(:narglen), *) numbuf
if (numbuf(1:1) == '\') then
read (numbuf(2:), *,err=10) snrdb
else
read (numbuf, *,err=10) snrdb
end if
end select
cycle
10 display_help=.true.
print *, 'Optional argument format error for option -', c
end do
if(display_help .or. nstat.lt.0 .or. nremain.ge.1) then
print *, ''
print *, 'Usage: jt65sim [OPTIONS]'
print *, ''
print *, ' Generate one or more simulated JT65 signals in .WAV file(s)'
print *, ''
print *, 'Example: jt65sim -m B -n 10 -d 0.2 -s \\-24.5 -t 0.0 -f 4'
print *, ''
print *, 'OPTIONS: NB Use \ (\\ on *nix shells) to escape -ve arguments'
print *, ''
do i = 1, size (long_options)
call long_options(i) % print (6)
end do
go to 999
endif
if (seed_prngs) then
call init_random_seed() ! seed Fortran RANDOM_NUMBER generator
call sgran() ! see C rand generator (used in gran)
end if
rms=100.
fsample=12000.d0 !Sample rate (Hz)
dt=1.d0/fsample !Sample interval (s)
twopi=8.d0*atan(1.d0)
npts=54*12000 !Total samples in .wav file
baud=11025.d0/4096.d0 !Keying rate
sps=12000.d0/baud !Samples per symbol, at fsample=12000 Hz
nsym=126 !Number of channel symbols
h=default_header(12000,npts)
dfsig=2000.0/nsigs !Freq spacing between sigs in file (Hz)
do ifile=1,nfiles !Loop over requested number of files
write(fname,1002) ifile !Output filename
1002 format('000000_',i4.4)
open(10,file=fname//'.wav',access='stream',status='unknown')
xnoise=0.
cdat=0.
if(snrdb.lt.90) then
do i=1,npts
xnoise(i)=gran() !Generate gaussian noise
enddo
endif
do isig=1,nsigs !Generate requested number of sigs
if(mod(nsigs,2).eq.0) f0=1500.0 + dfsig*(isig-0.5-nsigs/2)
if(mod(nsigs,2).eq.1) f0=1500.0 + dfsig*(isig-(nsigs+1)/2)
xsnr=snrdb
if(snrdb.eq.0.0) xsnr=-19 - isig
if(csubmode.eq.'B' .and. snrdb.eq.0.0) xsnr=-21 - isig
if(csubmode.eq.'C' .and. snrdb.eq.0.0) xsnr=-21 - isig
!###
! call1="K1ABC"
! ic3=65+mod(isig-1,26)
! ic2=65+mod((isig-1)/26,26)
! ic1=65
! call2="W9"//char(ic1)//char(ic2)//char(ic3)
! write(msg,1010) call1,call2,nint(xsnr)
!1010 format(a5,1x,a5,1x,i3.2)
msg="K1ABC W9XYZ EN37"
!###
call packmsg(msg,dgen,itype,.false.) !Pack message into 12 six-bit bytes
call rs_encode(dgen,sent) !Encode using RS(63,12)
call interleave63(sent,1) !Interleave channel symbols
call graycode65(sent,63,1) !Apply Gray code
k=0
do j=1,nsym !Insert sync and data into itone()
if(nprc(j).eq.0) then
k=k+1
itone(j)=sent(k)+2
else
itone(j)=0
endif
enddo
bandwidth_ratio=2500.0/6000.0
sig=sqrt(2*bandwidth_ratio)*10.0**(0.05*xsnr)
if(xsnr.gt.90.0) sig=1.0
write(*,1020) ifile,isig,f0,csubmode,xsnr,xdt,fspread,msg
1020 format(i4,i4,f10.3,2x,a1,2x,f5.1,f6.2,f5.1,1x,a22)
phi=0.d0
dphi=0.d0
k=12000 + xdt*12000 !Start audio at t = xdt + 1.0 s
isym0=-99
do i=1,npts !Add this signal into cdat()
isym=floor(i/sps)+1
if(isym.gt.nsym) exit
if(isym.ne.isym0) then
freq=f0 + itone(isym)*baud*mode65
dphi=twopi*freq*dt
isym0=isym
endif
phi=phi + dphi
if(phi.gt.twopi) phi=phi-twopi
xphi=phi
z=cmplx(cos(xphi),sin(xphi))
k=k+1
if(k.ge.1) cdat(k)=cdat(k) + sig*z
enddo
enddo
if(fspread.ne.0) then !Apply specified Doppler spread
df=12000.0/nfft
twopi=8*atan(1.0)
cspread(0)=1.0
cspread(NH)=0.
! The following options were added 3/15/2016 to make the half-power tone
! widths equal to the requested Doppler spread. (Previously we effectively
! used b=1.0 and Gaussian shape, which made the tones 1.665 times wider.)
! b=2.0*sqrt(log(2.0)) !Gaussian (before 3/15/2016)
! b=2.0 !Lorenzian 3/15 - 3/27
b=6.0 !Lorenzian 3/28 onward
do i=1,NH
f=i*df
x=b*f/fspread
z=0.
a=0.
if(x.lt.3.0) then !Cutoff beyond x=3
! a=sqrt(exp(-x*x)) !Gaussian
a=sqrt(1.111/(1.0+x*x)-0.1) !Lorentzian
call random_number(r1)
phi1=twopi*r1
z=a*cmplx(cos(phi1),sin(phi1))
endif
cspread(i)=z
z=0.
if(x.lt.50.0) then
call random_number(r2)
phi2=twopi*r2
z=a*cmplx(cos(phi2),sin(phi2))
endif
cspread(NFFT-i)=z
enddo
do i=0,NFFT-1
f=i*df
if(i.gt.NH) f=(i-nfft)*df
s=real(cspread(i))**2 + aimag(cspread(i))**2
! write(13,3000) i,f,s,cspread(i)
!3000 format(i5,f10.3,3f12.6)
enddo
! s=real(cspread(0))**2 + aimag(cspread(0))**2
! write(13,3000) 1024,0.0,s,cspread(0)
call four2a(cspread,NFFT,1,1,1) !Transform to time domain
sum=0.
do i=0,NFFT-1
p=real(cspread(i))**2 + aimag(cspread(i))**2
sum=sum+p
enddo
avep=sum/NFFT
fac=sqrt(1.0/avep)
cspread=fac*cspread !Normalize to constant avg power
cdat=cspread(1:npts)*cdat !Apply Rayleigh fading
! do i=0,NFFT-1
! p=real(cspread(i))**2 + aimag(cspread(i))**2
! write(14,3010) i,p,cspread(i)
!3010 format(i8,3f12.6)
! enddo
endif
dat=aimag(cdat) + xnoise !Add the generated noise
fac=32767.0/nsigs
if(snrdb.ge.90.0) iwave(1:npts)=nint(fac*dat(1:npts))
if(snrdb.lt.90.0) iwave(1:npts)=nint(rms*dat(1:npts))
write(10) h,iwave(1:npts) !Save the .wav file
close(10)
enddo
999 end program jt65sim
@@ -1,560 +0,0 @@
/* MOD2DENSE-TEST. C - Program to test mod2dense module. */
/* Copyright (c) 1995-2012 by Radford M. Neal.
*
* Permission is granted for anyone to copy, use, modify, and distribute
* these programs and accompanying documents for any purpose, provided
* this copyright notice is retained and prominently displayed, and note
* is made of any changes made to these programs. These programs and
* documents are distributed without any warranty, express or implied.
* As the programs were written for research purposes only, they have not
* been tested to the degree that would be advisable in any important
* application. All use of these programs is entirely at the user's own
* risk.
*/
/* Correct output for this program is saved in the file mod2dense-test-out */
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include "mod2dense.h"
main(void)
{
mod2dense *m1, *m2, *m3, *m4;
mod2dense *s0, *s1, *s2, *s3, *s4, *s5;
int a_row[35], a_col[35];
int code;
int i, j;
FILE *f;
printf("\nPART 1:\n\n");
/* Set up m1 with bits on a diagonal plus a few more set to 1. */
m1 = mod2dense_allocate(35,40);
mod2dense_clear(m1);
for (i = 0; i<35; i++) mod2dense_set(m1,i,i,1);
mod2dense_set(m1,2,3,1);
mod2dense_set(m1,34,4,1);
mod2dense_set(m1,10,38,1);
/* Print m1. */
printf("Matrix m1:\n\n");
mod2dense_print(stdout,m1);
printf("\n"); fflush(stdout);
/* Store m1 in a file. */
f = fopen("test-file","wb");
if (f==0)
{ fprintf(stderr,"Can't create test-file\n");
exit(1);
}
if (!mod2dense_write(f,m1))
{ printf("Error from mod2dense_write\n");
}
fclose(f);
/* Read matrix written above back into m2. */
f = fopen("test-file","rb");
if (f==0)
{ fprintf(stderr,"Can't open test-file\n");
exit(1);
}
m2 = mod2dense_read(f);
if (m2==0)
{ printf("Error from mod2dense_read\n");
exit(1);
}
/* Print m2, along with result of equality test. */
printf("Matrix m2, as read from file. Should be same as m1 above.\n\n");
mod2dense_print(stdout,m2);
printf("\n"); fflush(stdout);
printf("Test of equality of m1 & m2 (should be 1): %d\n\n",
mod2dense_equal(m1,m2));
/* Copy m1 to m3. */
m3 = mod2dense_allocate(mod2dense_rows(m1),mod2dense_cols(m1));
mod2dense_copy(m1,m3);
/* Print m3, along with result of equality test. */
printf("Matrix m3, copied from m1 above.\n\n");
mod2dense_print(stdout,m3);
printf("\n"); fflush(stdout);
printf("Test of equality of m1 & m3 (should be 1): %d\n\n",
mod2dense_equal(m1,m3));
/* Clear m3. */
mod2dense_clear(m3);
/* Print m3 again. */
printf("Matrix m3 again, should now be all zeros.\n\n");
mod2dense_print(stdout,m3);
printf("\n"); fflush(stdout);
printf("Test of equality of m1 & m3 (should be 0): %d\n\n",
mod2dense_equal(m1,m3));
printf("\nPART 2:\n\n");
/* Compute transpose of m1. */
m4 = mod2dense_allocate(mod2dense_cols(m1),mod2dense_rows(m1));
mod2dense_transpose(m1,m4);
/* Print transpose. */
printf("Transpose of m1.\n\n");
mod2dense_print(stdout,m4);
printf("\n"); fflush(stdout);
/* Free space for m1, m2, and m3. */
mod2dense_free(m1);
mod2dense_free(m2);
mod2dense_free(m3);
printf("\nPART 3:\n\n");
/* Allocate some small matrices. */
s0 = mod2dense_allocate(5,7);
s1 = mod2dense_allocate(5,7);
s2 = mod2dense_allocate(7,4);
s3 = mod2dense_allocate(5,4);
s4 = mod2dense_allocate(5,7);
/* Set up the contents of s0, s1, and s2. */
mod2dense_clear(s0);
mod2dense_clear(s1);
mod2dense_clear(s2);
mod2dense_set(s0,1,3,1);
mod2dense_set(s0,1,4,1);
mod2dense_set(s0,2,0,1);
mod2dense_set(s0,3,1,1);
mod2dense_set(s1,1,3,1);
mod2dense_set(s1,1,5,1);
mod2dense_set(s1,3,0,1);
mod2dense_set(s1,3,1,1);
mod2dense_set(s1,3,6,1);
mod2dense_set(s2,5,1,1);
mod2dense_set(s2,5,2,1);
mod2dense_set(s2,5,3,1);
mod2dense_set(s2,0,0,1);
mod2dense_set(s2,1,1,1);
/* Print s0, s1, and s2. */
printf("Matrix s0.\n\n");
mod2dense_print(stdout,s0);
printf("\nMatrix s1.\n\n");
mod2dense_print(stdout,s1);
printf("\nMatrix s2.\n\n");
mod2dense_print(stdout,s2);
printf("\n"); fflush(stdout);
/* Add s0 and s1, storing the result in s4, then print s4. */
mod2dense_add(s0,s1,s4);
printf("Sum of s0 and s1.\n\n");
mod2dense_print(stdout,s4);
printf("\n"); fflush(stdout);
/* Multiply s1 and s2, storing the product in s3, and then print s3. */
mod2dense_multiply(s1,s2,s3);
printf("Product of s1 and s2.\n\n");
mod2dense_print(stdout,s3);
printf("\n"); fflush(stdout);
/* Try clearing a bit in s3, then printing the result. */
mod2dense_set(s3,1,2,0);
printf("Above matrix with (1,2) cleared.\n\n");
mod2dense_print(stdout,s3);
printf("\n"); fflush(stdout);
/* Free space for s0, s1, s2, s3, and s4. */
mod2dense_free(s0);
mod2dense_free(s1);
mod2dense_free(s2);
mod2dense_free(s3);
mod2dense_free(s4);
printf("\nPART 4:\n\n");
/* Set up a small square matrix, s1. Also copy it to s2. */
s1 = mod2dense_allocate(5,5);
s2 = mod2dense_allocate(5,5);
mod2dense_clear(s1);
mod2dense_set(s1,0,3,1);
mod2dense_set(s1,1,4,1);
mod2dense_set(s1,1,1,1);
mod2dense_set(s1,2,0,1);
mod2dense_set(s1,3,1,1);
mod2dense_set(s1,3,2,1);
mod2dense_set(s1,4,2,1);
mod2dense_set(s1,4,0,1);
mod2dense_copy(s1,s2);
/* Print s1. */
printf("Matrix s1.\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
/* Compute inverse of s1, storing it in s3. */
s3 = mod2dense_allocate(5,5);
code = mod2dense_invert(s1,s3);
/* Print inverse (s3). */
printf("Matrix s3, the inverse of s1 (return code %d).\n\n",code);
mod2dense_print(stdout,s3);
printf("\n"); fflush(stdout);
/* Compute and print product of inverse and original matrix, both ways. */
mod2dense_multiply(s2,s3,s1);
printf("Original matrix times inverse (should be identity).\n\n");
mod2dense_print(stdout,s1);
mod2dense_multiply(s3,s2,s1);
printf("\nInverse times original matrix (should be identity).\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
/* Compute and print inverse of inverse, and do equality check. */
mod2dense_invert(s3,s1);
printf("Inverse of inverse (should be same as original s1).\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
printf("Test of equality with original (should be 1): %d\n\n",
mod2dense_equal(s1,s2));
/* Free s1, s2, and s3. */
mod2dense_free(s1);
mod2dense_free(s2);
mod2dense_free(s3);
/* Set up a rectangular matrix like s1 above, but with two zero columns.
Copy to s4 as well. */
s1 = mod2dense_allocate(5,7);
mod2dense_clear(s1);
mod2dense_set(s1,0,4,1);
mod2dense_set(s1,1,6,1);
mod2dense_set(s1,1,1,1);
mod2dense_set(s1,2,0,1);
mod2dense_set(s1,3,1,1);
mod2dense_set(s1,3,2,1);
mod2dense_set(s1,4,2,1);
mod2dense_set(s1,4,0,1);
s4 = mod2dense_allocate(5,7);
mod2dense_copy(s1,s4);
/* Print s1. */
printf("Matrix s1.\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
/* Compute inverse of sub-matrix of s1, storing it in s3. Print results. */
s3 = mod2dense_allocate(5,7);
code = mod2dense_invert_selected(s1,s3,a_row,a_col);
printf("Matrix s3, from invert_selected applied to s1 (return code %d).\n\n",
code);
mod2dense_print(stdout,s3);
printf("\n row ordering returned:");
for (i = 0; i<5; i++) printf(" %d",a_row[i]);
printf("\n");
printf("\n column ordering returned:");
for (j = 0; j<7; j++) printf(" %d",a_col[j]);
printf("\n");
printf("\n"); fflush(stdout);
printf("Columns extracted in order from original matrix.\n\n");
s2 = mod2dense_allocate(5,5);
mod2dense_copycols(s4,s2,a_col);
mod2dense_print(stdout,s2);
printf("\n"); fflush(stdout);
s5 = mod2dense_allocate(5,5);
code = mod2dense_invert(s2,s5);
printf(
"Inverse of above calculated using mod2dense_inverse (return code %d)\n\n",
code);
mod2dense_print(stdout,s5);
printf("\n"); fflush(stdout);
printf(
"Columns extracted in order from s3 (should also be inverse of above).\n\n");
mod2dense_copycols(s3,s2,a_col);
mod2dense_print(stdout,s2);
printf("\n"); fflush(stdout);
/* Try out mod2dense_invert_selected again. */
mod2dense_clear(s1);
mod2dense_set(s1,0,0,1);
mod2dense_set(s1,0,1,1);
mod2dense_set(s1,1,1,1);
mod2dense_set(s1,1,2,1);
mod2dense_set(s1,2,0,1);
mod2dense_set(s1,2,2,1);
mod2dense_set(s1,3,3,1);
mod2dense_set(s1,3,4,1);
printf("Matrix s1.\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
code = mod2dense_invert_selected(s1,s3,a_row,a_col);
printf("Matrix s3, from invert_selected applied to s1 (return code %d).\n\n",
code);
mod2dense_print(stdout,s3);
printf("\n row ordering returned:");
for (i = 0; i<5; i++) printf(" %d",a_row[i]);
printf("\n");
printf("\n column ordering returned:");
for (j = 0; j<7; j++) printf(" %d",a_col[j]);
printf("\n");
printf("\n"); fflush(stdout);
printf("Matrix s4, from copying rows in order from s3.\n\n");
mod2dense_copyrows(s3,s4,a_row);
mod2dense_print(stdout,s4);
free(s1);
free(s2);
free(s3);
free(s4);
free(s5);
printf("\nPART 5:\n\n");
/* Set up a larger square matrix, s1. Also copy it to s2. */
s1 = mod2dense_allocate(35,35);
s2 = mod2dense_allocate(35,35);
mod2dense_clear(s1);
for (i = 0; i<35; i++) mod2dense_set(s1,i,i,1);
mod2dense_set(s1,10,3,1);
mod2dense_set(s1,11,4,1);
mod2dense_set(s1,11,11,1);
mod2dense_set(s1,12,20,1);
mod2dense_set(s1,13,31,1);
mod2dense_set(s1,23,12,1);
mod2dense_set(s1,24,12,1);
mod2dense_set(s1,14,10,1);
mod2dense_set(s1,2,20,1);
mod2dense_set(s1,3,31,1);
mod2dense_set(s1,3,12,1);
mod2dense_set(s1,24,2,1);
mod2dense_set(s1,24,0,1);
mod2dense_set(s1,5,3,1);
mod2dense_set(s1,18,3,1);
mod2dense_set(s1,17,11,1);
mod2dense_set(s1,32,23,1);
mod2dense_set(s1,9,24,1);
mod2dense_set(s1,19,11,1);
mod2dense_set(s1,11,30,1);
mod2dense_set(s1,21,27,1);
mod2dense_set(s1,21,22,1);
mod2dense_set(s1,23,33,1);
mod2dense_set(s1,24,23,1);
mod2dense_set(s1,24,25,1);
mod2dense_set(s1,30,34,1);
mod2dense_set(s1,31,10,1);
mod2dense_set(s1,33,17,1);
mod2dense_set(s1,33,18,1);
mod2dense_set(s1,34,8,1);
mod2dense_set(s1,34,11,1);
mod2dense_set(s1,34,3,1);
mod2dense_set(s1,34,24,1);
mod2dense_set(s1,25,34,1);
mod2dense_set(s1,13,34,1);
mod2dense_set(s1,3,3,0);
mod2dense_set(s1,11,11,0);
mod2dense_set(s1,23,23,0);
mod2dense_set(s1,24,24,0);
mod2dense_copy(s1,s2);
/* Print s1. */
printf("Matrix s1.\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
/* Compute inverse of s1, storing it in s3. */
s3 = mod2dense_allocate(35,35);
code = mod2dense_invert(s1,s3);
/* Print inverse (s3). */
printf("Matrix s3, the inverse of s1 (return code %d).\n\n",code);
mod2dense_print(stdout,s3);
printf("\n"); fflush(stdout);
/* Compute and print product of inverse and original matrix, both ways. */
mod2dense_multiply(s2,s3,s1);
printf("Original matrix times inverse (should be identity).\n\n");
mod2dense_print(stdout,s1);
mod2dense_multiply(s3,s2,s1);
printf("\nInverse times original matrix (should be identity).\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
/* Compute and print inverse of inverse, and do equality check. */
mod2dense_invert(s3,s1);
printf("Inverse of inverse (should be same as original s1).\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
printf("Test of equality with original (should be 1): %d\n\n",
mod2dense_equal(s1,s2));
/* Free s1, s2, and s3. */
mod2dense_free(s1);
mod2dense_free(s2);
mod2dense_free(s3);
printf("\nPART 6:\n\n");
/* Set up a largish square matrix, s1. Also copy it to s2. */
s1 = mod2dense_allocate(35,35);
s2 = mod2dense_allocate(35,35);
mod2dense_clear(s1);
for (i = 0; i<10; i++)
{ if (i!=3 && i!=7)
{ mod2dense_set(s1,i,i,1);
}
}
for (i = 10; i<35; i++)
{ if (i!=15 && i!=21 && i!=32)
{ mod2dense_set(s1,i,34-(i-10),1);
}
}
/* Print s1. */
printf("Matrix s1.\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
/* Forcibly invert s1, storing inverse in s3. */
s3 = mod2dense_allocate(35,35);
code = mod2dense_forcibly_invert(s1,s3,a_row,a_col);
/* Print inverse, and list of altered elements. */
printf("Result of forcibly inverting s1 (needed to alter %d elements).\n\n",
code);
mod2dense_print(stdout,s3);
printf("\n"); fflush(stdout);
printf("Altered elements at these indexes:\n\n");
for (i = 0; i<code; i++)
{ printf("%3d %3d\n",a_row[i],a_col[i]);
}
printf("\n"); fflush(stdout);
/* Compute and print inverse of inverse. */
mod2dense_invert(s3,s1);
printf("Inverse of inverse of altered matrix.\n\n");
mod2dense_print(stdout,s1);
printf("\n"); fflush(stdout);
printf("\nDONE WITH TESTS.\n");
exit(0);
}