view tests/pointset_test/genpoints2.c @ 469:d3afc91d205d api-inversion

Move audioDB::query over to audioDB.cpp

At the same time, remove all the abstraction violations in
audioDB::query, which came in two flavours: use of dbH->numFiles, which
is dealt with by getting the database status instead (and is eventually
unnecessary, being only needed now because reporters are implemented in
terms of vectors indexed by ID), and use of fileTable in reporter's
report functions (dealt with by passing in the adb instead).

To actually implement reporting as of now, we continue to use stuff from
audioDB-internals.h; maybe someday we will be clean and shiny.

#include <sys/types.h>
#include <sys/stat.h>
#include <fcntl.h>
#include <math.h>
#include <stdlib.h>
#include <stdio.h>

double randn();
double randbl();

/* genpoints count radius^2 */
int main(int argc, char *argv[]) {
  if (argc < 3) {
    fprintf(stderr, "usage: %s count radius^2 [dim]\n", argv[0]);
    exit(1);
  }
  long int count = strtol(argv[1], NULL, 0);
  double rsquared = strtod(argv[2], NULL);
  long int dim = 3;
  if(argc > 3)
    dim = strtol(argv[3], NULL, 0);
  
  // Generate *count* Gaussian Random vectors in R^*dim*
  // sitting on the *rdashed*-sphere

  srandom(time(NULL));

  int i,j;
  for (i = 0; i < count + 1; i++) {
    // Normed Gaussian random vectors are distributed uniformly on unit sphere
    double* coords = malloc(dim * sizeof(double));
    double nmsq = 0.0;

    for (j = 0; j < dim; j++){
      if(i < count)
	coords[j] = randn();
      else
	coords[j] = 0.0;
      nmsq += coords[j]*coords[j];
    }

    double nm2 = 0.0;
    if(i < count){
      nm2 = sqrt(rsquared/nmsq);
      // Place on rdash-sphere
      for (j = 0; j < dim; j++)
	coords[j] *= nm2;
    }
    // Translate to (0,0,...,1)
    coords[dim-1]+=1.0; 

    // Compute distance to (0,0,...,1)
    nmsq = 0.0;
    for (j = 0; j < dim-1; j++){
      nmsq += coords[j]*coords[j];
    }
    // Save last value to distance calulcation to query(0,0,...,1)
    double nth = coords[dim-1];
    // Output to ASCII terminal
    printf("(");
    for(j = 0; j < dim; j++)
      printf("%8.3f ", coords[j]);
    printf(") d = %8.3f\n", sqrt(nmsq + (nth-1)*(nth-1)));
    

    // Save single feature vector
    char name[40];
    if(i < count)
      snprintf(name, 39, i<10?"testfeature0%d":"testfeature%d", i);
    else
      snprintf(name, 39, "queryfeature");
    /* assumes $PWD is right */
    int fd = open(name, O_CREAT|O_TRUNC|O_WRONLY, S_IWUSR|S_IRUSR|S_IRGRP|S_IROTH);

    write(fd, &dim, sizeof(int));
    for(j = 0; j < dim; j++)
      write(fd, coords + j, sizeof(double));
    close(fd);

    free(coords);
  }
  exit(0);
}

// Genereate U[0,1]
double randbl(){
  return (   (double)rand() / ((double)(RAND_MAX)+(double)(1)) );
}

// Generate z ~ N(0,1)
double randn(){
// Box-Muller
  double x1, x2;
  do{
    x1 = randbl();
  } while (x1 == 0); // cannot take log of 0
  x2 = randbl();
  double z = sqrt(-2.0 * log(x1)) * cos(2.0 * M_PI * x2);
  return z;
}