Пример #1
0
static void scan_partialities(RefList *reflections, RefList *compare,
                              int *valid, long double *vals[3], int idx,
                              PartialityModel pmodel)
{
	int i;
	Reflection *refl;
	RefListIterator *iter;

	i = 0;
	for ( refl = first_refl(reflections, &iter);
	      refl != NULL;
	      refl = next_refl(refl, iter) )
	{
		signed int h, k, l;
		Reflection *refl2;
		double rlow, rhigh, p;

		get_indices(refl, &h, &k, &l);
		refl2 = find_refl(compare, h, k, l);
		if ( refl2 == NULL ) {
			valid[i] = 0;
			i++;
			continue;
		}

		get_partial(refl2, &rlow, &rhigh, &p);
		vals[idx][i] = p;
		if ( unlikely(p < 0.0) ) {
			ERROR("Negative partiality! %3i %3i %3i  %f\n",
			      h, k, l, p);
		}

		i++;
	}
}
Пример #2
0
int get_bucket(DBC *cursorp, struct rec_key *k, struct rec_val *v) {
  int bucket_size_idx, key_level = -1;
  struct rec_key cur_k;
  for (bucket_size_idx = NBUCKETSIZES-1; bucket_size_idx >= 0; bucket_size_idx--) {
    /* find the start of the current bucket */
    cur_k.stream_id = k->stream_id;
    cur_k.timestamp = k->timestamp - (k->timestamp % bucket_sizes[bucket_size_idx]);
    /* key query */
    /* acquire write locks to avoid deadlock */
    if (get_partial(cursorp, DB_SET | DB_RMW, &cur_k, v, sizeof(struct rec_val), 0) == 0) {
      if (cur_k.timestamp <= k->timestamp &&
          cur_k.timestamp + v->period_length > k->timestamp) {
        *k = cur_k;
        return 1;
      }
    } else if (key_level == -1) {
      key_level = bucket_size_idx;
    }
  }
  if (key_level < 0) {
    warn("CONFUSED streamid: %u timestamp: %u\n",
         k->stream_id, k->timestamp);
    return 1;
  }
  debug("Should be in new bin; size idx %i\n", key_level);
  k->timestamp -= (k->timestamp % bucket_sizes[key_level]);
  return -key_level;
}
Пример #3
0
/* Return the gradient of partiality wrt parameter 'k' given the current status
 * of 'image'. */
double p_gradient(Crystal *cr, int k, Reflection *refl, PartialityModel pmodel)
{
	double glow, ghigh;
	double rlow, rhigh, p;
	struct image *image = crystal_get_image(cr);
	double R = crystal_get_profile_radius(cr);

	get_partial(refl, &rlow, &rhigh, &p);

	if ( k == GPARAM_R ) {

		double Rglow, Rghigh;
		double D, psph;

		D = rlow - rhigh;
		psph = volume_fraction(rlow, rhigh, R, pmodel);

		Rglow = volume_fraction_rgradient(rlow, R, pmodel);
		Rghigh = volume_fraction_rgradient(rhigh, R, pmodel);

		return 4.0*psph/(3.0*D) + (4.0*R/(3.0*D))*(Rglow - Rghigh);

	}

	/* Calculate the gradient of partiality wrt excitation error. */
	glow = partiality_gradient(rlow, R, pmodel, rlow, rhigh);
	ghigh = partiality_gradient(rhigh, R, pmodel, rlow, rhigh);

	if ( k == GPARAM_DIV ) {

		double D, psph, ds;
		signed int hs, ks, ls;

		D = rlow - rhigh;
		psph = volume_fraction(rlow, rhigh, R, pmodel);
		get_symmetric_indices(refl, &hs, &ks, &ls);
		ds = 2.0 * resolution(crystal_get_cell(cr), hs, ks, ls);

		return (ds/2.0)*(glow+ghigh) - 4.0*R*psph*ds/(3.0*D*D);

	}

	return r_gradient(crystal_get_cell(cr), k, refl, image) * (glow-ghigh);
}
Пример #4
0
static double test_gradients(Crystal *cr, double incr_val, int refine,
                             const char *str, const char *file,
                             PartialityModel pmodel, int quiet, int plot)
{
	Reflection *refl;
	RefListIterator *iter;
	long double *vals[3];
	int i;
	int *valid;
	int nref;
	int n_good, n_invalid, n_small, n_nan, n_bad;
	RefList *reflections;
	FILE *fh = NULL;
	int ntot = 0;
	double total = 0.0;
	char tmp[32];
	double *vec1;
	double *vec2;
	int n_line;
	double cc;

	reflections = find_intersections(crystal_get_image(cr), cr, pmodel);
	crystal_set_reflections(cr, reflections);

	nref = num_reflections(reflections);
	if ( nref < 10 ) {
		ERROR("Too few reflections found.  Failing test by default.\n");
		return 0.0;
	}

	vals[0] = malloc(nref*sizeof(long double));
	vals[1] = malloc(nref*sizeof(long double));
	vals[2] = malloc(nref*sizeof(long double));
	if ( (vals[0] == NULL) || (vals[1] == NULL) || (vals[2] == NULL) ) {
		ERROR("Couldn't allocate memory.\n");
		return 0.0;
	}

	valid = malloc(nref*sizeof(int));
	if ( valid == NULL ) {
		ERROR("Couldn't allocate memory.\n");
		return 0.0;
	}
	for ( i=0; i<nref; i++ ) valid[i] = 1;

	scan_partialities(reflections, reflections, valid, vals, 1, pmodel);

	calc_either_side(cr, incr_val, valid, vals, refine, pmodel);

	if ( plot ) {
		snprintf(tmp, 32, "gradient-test-%s.dat", file);
		fh = fopen(tmp, "w");
	}

	vec1 = malloc(nref*sizeof(double));
	vec2 = malloc(nref*sizeof(double));
	if ( (vec1 == NULL) || (vec2 == NULL) ) {
		ERROR("Couldn't allocate memory.\n");
		return 0.0;
	}

	n_invalid = 0;  n_good = 0;
	n_nan = 0;  n_small = 0;  n_bad = 0;  n_line = 0;
	i = 0;
	for ( refl = first_refl(reflections, &iter);
	      refl != NULL;
	      refl = next_refl(refl, iter) )
	{

		long double grad1, grad2, grad;
		double cgrad;
		signed int h, k, l;

		get_indices(refl, &h, &k, &l);

		if ( !valid[i] ) {
			n_invalid++;
			i++;
		} else {

			double r1, r2, p;

			grad1 = (vals[1][i] - vals[0][i]) / incr_val;
			grad2 = (vals[2][i] - vals[1][i]) / incr_val;
			grad = (grad1 + grad2) / 2.0;
			i++;

			cgrad = p_gradient(cr, refine, refl, pmodel);

			get_partial(refl, &r1, &r2, &p);

			if ( isnan(cgrad) ) {
				n_nan++;
				continue;
			}

			if ( plot ) {
				fprintf(fh, "%e %Le\n", cgrad, grad);
			}

			vec1[n_line] = cgrad;
			vec2[n_line] = grad;
			n_line++;

			if ( (fabs(cgrad) < 5e-8) && (fabs(grad) < 5e-8) ) {
				n_small++;
				continue;
			}

			total += fabs(cgrad - grad);
			ntot++;

			if ( !within_tolerance(grad, cgrad, 5.0)
			  || !within_tolerance(cgrad, grad, 5.0) )
			{

				if ( !quiet ) {
					STATUS("!- %s %3i %3i %3i"
					       " %10.2Le %10.2e ratio = %5.2Lf"
					       " %10.2e %10.2e\n",
					       str, h, k, l, grad, cgrad,
					       cgrad/grad, r1, r2);
				}
				n_bad++;

			} else {

				//STATUS("OK %s %3i %3i %3i"
				//       " %10.2Le %10.2e ratio = %5.2Lf"
				//       " %10.2e %10.2e\n",
				//       str, h, k, l, grad, cgrad, cgrad/grad,
				//       r1, r2);

				n_good++;

			}

		}

	}

	STATUS("%3s: %3i within 5%%, %3i outside, %3i nan, %3i invalid, "
	       "%3i small. ", str, n_good, n_bad, n_nan, n_invalid, n_small);

	if ( plot ) {
		fclose(fh);
	}

	cc = gsl_stats_correlation(vec1, 1, vec2, 1, n_line);
	STATUS("CC = %+f\n", cc);
	return cc;
}