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📄 make-gen.c

📁 剑桥大学David J.C. MacKay 个人网站公布的2006年的代码
💻 C
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/* MAKE-GEN.C - Make generator matrix from parity-check matrix. *//* Copyright (c) 2000, 2001 by Radford M. Neal  * * Permission is granted for anyone to copy, use, modify, or distribute this * program and accompanying programs and documents for any purpose, provided  * this copyright notice is retained and prominently displayed, along with * a note saying that the original programs are available from Radford Neal's * web page, and note is made of any changes made to the programs.  The * 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. */#include <stdio.h>#include <stdlib.h>#include <math.h>#include "alloc.h"#include "intio.h"#include "open.h"#include "mod2sparse.h"#include "mod2dense.h"#include "mod2convert.h"#include "rcode.h"typedef enum { Sparse, Dense, Mixed } make_method;      /* Ways of making it */void make_dense_mixed (FILE *, make_method, char *);     /* Procs to make it */void make_sparse (FILE *, mod2sparse_strategy, int, int);void usage(void);/* MAIN PROGRAM. */int main( int argc,  char **argv){  char *pchk_file, *gen_file, *other_gen_file;  mod2sparse_strategy strategy;  int abandon_when, abandon_number;  make_method method;  char *meth;  char junk;  FILE *f;  /* Look at arguments. */  if (!(pchk_file = argv[1])   || !(gen_file = argv[2])   || !(meth = argv[3]))  { usage();  }    if (strcmp(meth,"sparse")==0)       { method = Sparse;    strategy = Mod2sparse_minprod;    abandon_number = 0;    if (argv[4])    { if (strcmp(argv[4],"first")==0)        strategy = Mod2sparse_first;      else if (strcmp(argv[4],"mincol")==0)  strategy = Mod2sparse_mincol;      else if (strcmp(argv[4],"minprod")==0) strategy = Mod2sparse_minprod;      else       { usage();      }      if (argv[5])      { if (sscanf(argv[5],"%d%c",&abandon_number,&junk)!=1 || abandon_number<=0         || !argv[6]          || sscanf(argv[6],"%d%c",&abandon_when,&junk)!=1 || abandon_when<=0         || argv[7])        { usage();        }      }    }  }  else if (strcmp(meth,"dense")==0)   { method = Dense;    other_gen_file = argv[4];    if (other_gen_file && argv[5])    { usage();    }  }  else if (strcmp(meth,"mixed")==0)   { method = Mixed;    other_gen_file = argv[4];    if (other_gen_file && argv[5])    { usage();    }  }  else   { usage();  }  /* Read parity check matrix. */  read_pchk(pchk_file);  if (N<=M)  { fprintf(stderr,     "Can't encode if number of bits (%d) isn't greater than number of checks (%d)\n",N,M);    exit(1);  }  /* Create generator matrix file. */  f = open_file_std(gen_file,"wb");  if (f==NULL)  { fprintf(stderr,"Can't create generator matrix file: %s\n",gen_file);    exit(1);  }  /* Allocate space for row and column permutations. */  cols = chk_alloc (N, sizeof *cols);  rows = chk_alloc (M, sizeof *rows);  /* Create generator matrix with specified method. */  switch (method)  { case Sparse:     { make_sparse(f,strategy,abandon_number,abandon_when);       break;    }    case Dense: case Mixed:    { make_dense_mixed(f,method,other_gen_file);      break;    }    default: abort();  }  /* Check for error writing file. */  if (ferror(f) || fclose(f)!=0)  { fprintf(stderr,"Error writing to generator matrix file\n");    exit(1);  }  return 0;}/* MAKE DENSE OR MIXED REPRESENTATION OF GENERATOR MATRIX. */void make_dense_mixed( FILE *f,  make_method method,  char *other_gen_file){   mod2dense *DH, *A, *A2, *AI, *B;  int i, j, c, c2, n;  int *rows_inv;  DH = mod2dense_allocate(M,N);  AI = mod2dense_allocate(M,M);  B  = mod2dense_allocate(M,N-M);  G  = mod2dense_allocate(M,N-M);  mod2sparse_to_dense(H,DH);  /* If another generator matrix was specified, invert using the set of     columns it specifies. */  if (other_gen_file)  {     read_gen(other_gen_file,1,0);    A = mod2dense_allocate(M,M);    mod2dense_copycols(DH,A,cols);    if (!mod2dense_invert(A,AI))    { fprintf(stderr,       "Couldn't invert sub-matrix with column order given in other file\n");      exit(1);    }    mod2dense_copycols(DH,B,cols+M);  }  /* If no other generator matrix was specified, invert using whatever      selection of rows/columns is needed to get a non-singular sub-matrix. */  if (!other_gen_file)  {    A  = mod2dense_allocate(M,N);    A2 = mod2dense_allocate(M,N);    n = mod2dense_invert_selected(DH,A2,rows,cols);    mod2sparse_to_dense(H,DH);  /* DH was destroyed by invert_selected */    if (n>0)    { fprintf(stderr,"Note: Parity check matrix has %d redundant checks\n",n);    }    rows_inv = chk_alloc (M, sizeof *rows_inv);    for (i = 0; i<M; i++)    { rows_inv[rows[i]] = i;    }    mod2dense_copyrows(A2,A,rows);    mod2dense_copycols(A,A2,cols);    mod2dense_copycols(A2,AI,rows_inv);    mod2dense_copycols(DH,B,cols+M);  }  /* Form final generator matrix. */  if (method==Dense)   { mod2dense_multiply(AI,B,G);  }  else if (method==Mixed)  { G = AI;  }  else  { abort();  }  /* Compute and print number of 1s. */  if (method==Dense)    { c = 0;    for (i = 0; i<M; i++)    { for (j = 0; j<N-M; j++)      { c += mod2dense_get(G,i,j);      }    }    fprintf(stderr,      "Number of 1s per check in Inv(A) X B is %.1f\n", (double)c/M);  }  if (method==Mixed)  { c = 0;    for (i = 0; i<M; i++)    { for (j = 0; j<M; j++)      { c += mod2dense_get(G,i,j);      }    }    c2 = 0;    for (i = M; i<N; i++)     { c2 += mod2sparse_count_col(H,cols[i]);    }    fprintf(stderr,     "Number of 1s per check in Inv(A) is %.1f, in B is %.1f, total is %.1f\n",     (double)c/M, (double)c2/M, (double)(c+c2)/M);  }  /* Write the represention of the generator matrix to the file. */  intio_write(f,('G'<<8)+0x80);  if (method==Dense)        { fwrite ("d", 1, 1, f);  }  if (method==Mixed)   { fwrite ("m", 1, 1, f);  }  intio_write(f,M);  intio_write(f,N);  for (i = 0; i<N; i++)   { intio_write(f,cols[i]);  }  mod2dense_write (f, G);}/* MAKE SPARSE REPRESENTATION OF GENERATOR MATRIX. */void make_sparse( FILE *f,  mod2sparse_strategy strategy,  int abandon_number,  int abandon_when){  int n, cL, cU, cB;  int i;  /* Find LU decomposition. */  L = mod2sparse_allocate(M,M);  U = mod2sparse_allocate(M,N);  n = mod2sparse_decomp(H,M,L,U,rows,cols,strategy,abandon_number,abandon_when);  if (n!=0 && abandon_number==0)  { fprintf(stderr,"Note: Parity check matrix has %d redundant checks\n",n);  }  if (n!=0 && abandon_number>0)  { fprintf(stderr,  "Note: Have %d dependent columns, but this could be due to abandonment.\n",n);    fprintf(stderr,  "      Try again with lower abandonment number.\n");    exit(1);  }  /* Compute and print number of 1s. */  cL = cU = cB = 0;  for (i = 0; i<M; i++) cL += mod2sparse_count_row(L,i);  for (i = 0; i<M; i++) cU += mod2sparse_count_row(U,i);  for (i = M; i<N; i++) cB += mod2sparse_count_col(H,cols[i]);  fprintf(stderr,   "Number of 1s per check in L is %.1f, U is %.1f, B is %.1f, total is %.1f\n",    (double)cU/M, (double)cL/M, (double)cB/M, (double)(cL+cU+cB)/M);  /* Write it all to the generator matrix file. */  intio_write(f,('G'<<8)+0x80);  fwrite ("s", 1, 1, f);  intio_write(f,M);  intio_write(f,N);  for (i = 0; i<N; i++)   { intio_write(f,cols[i]);  }  for (i = 0; i<M; i++)   { intio_write(f,rows[i]);  }  mod2sparse_write (f, L);  mod2sparse_write (f, U);}/* PRINT USAGE MESSAGE AND EXIT. */void usage(void){ fprintf (stderr,    "Usage:  make-gen pchk-file gen-file method\n");  fprintf (stderr,    "Method: sparse [ \"first\" | \"mincol\" | \"minprod\" ] [ abandon_num abandon_when ]\n");  fprintf (stderr,    "    or: dense [ other-gen-file ]\n");  fprintf (stderr,    "    or: mixed [ other-gen-file ]\n");  exit(1);}

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