Exemple #1
0
/* all-in-one function testing epidemics growth, summary statistics, etc. */
void test_epidemics(int seqLength, double mutRate, int npop, int *nHostPerPop, double beta, int nStart, int t1, int t2, int Nsample, int *Tsample, int duration, int *nbnb, int *listnb, double *pdisp){
	int i, j, nstep=0, tabidx, counter_sample = 0;

	/* Initialize random number generator */
	time_t t;
	t = time(NULL); // time in seconds, used to change the seed of the random generator
	gsl_rng * rng;
	const gsl_rng_type *typ;
	gsl_rng_env_setup();
	typ=gsl_rng_default;
	rng=gsl_rng_alloc(typ);
	gsl_rng_set(rng,t); // changes the seed of the random generator


	/* transfer simulation parameters */
	struct param * par;
	par = (struct param *) malloc(sizeof(struct param));
	par->L = seqLength;
	par->mu = mutRate;
	par->muL = par->mu * par->L;
	par->rng = rng;
	par->npop = npop;
	par->npop = npop;
	par->popsizes = nHostPerPop;
	par->beta = beta;
	par->nstart = nStart;
	par->t1 = t1;
	par->t2 = t2;
	par->t_sample = Tsample;
	par->n_sample = Nsample;
	par->duration = duration;
	par->cn_nb_nb = nbnb;
	par->cn_list_nb = listnb;
	par->cn_weights = pdisp;

	/* check/print parameters */
	check_param(par);
	print_param(par);

	/* dispersal matrix */
	struct network *cn = create_network(par);

	/* group sizes */
	struct ts_groupsizes * grpsizes = create_ts_groupsizes(par);


	/* initiate population */
	struct metapopulation * metapop;
	metapop = create_metapopulation(par);


	/* get sampling schemes (timestep+effectives) */
	translate_dates(par);
	struct table_int *tabdates = get_table_int(par->t_sample, par->n_sample);
	printf("\n\nsampling at timesteps:");
	print_table_int(tabdates);

	/* create sample */
	struct sample ** samplist = (struct sample **) malloc(tabdates->n * sizeof(struct sample *));
	struct sample *samp;


	/* MAKE METAPOPULATION EVOLVE */
	nstep = 0;
	while(get_total_nsus(metapop)>0 && (get_total_ninf(metapop)+get_total_nexp(metapop))>0 && nstep<par->duration){
		nstep++;

		/* age metapopulation */
		age_metapopulation(metapop, par);

		/* process infections */
		for(j=0;j<get_npop(metapop);j++){
			process_infections(get_populations(metapop)[j], metapop, cn, par);
		}

		/* draw samples */
		if((tabidx = int_in_vec(nstep, tabdates->items, tabdates->n)) > -1){ /* TRUE if step must be sampled */
			samplist[counter_sample++] = draw_sample(metapop, tabdates->times[tabidx], par);
		}

		fill_ts_groupsizes(grpsizes, metapop, nstep);

	}


	/* we stopped after 'nstep' steps */
	if(nstep < par->duration){
		printf("\nEpidemics ended at time %d, before last sampling time (%d).\n", nstep, par->duration);
	} else {

		printf("\n\n-- FINAL METAPOPULATION --");
		print_metapopulation(metapop, TRUE);

		/* test samples */
		for(i=0;i<tabdates->n;i++) {
			printf("\nsample %d\n", i);
			print_sample(samplist[i], TRUE);
		}
		samp = merge_samples(samplist, tabdates->n, par) ;
		print_sample(samp, TRUE);

		/* test allele listing */
		struct snplist *snpbilan;
		snpbilan = list_snps(samp, par);
		print_snplist(snpbilan);

		/* test allele frequencies */
		struct allfreq *freq;
		freq = get_frequencies(samp, par);
		print_allfreq(freq);

		/* test Hs*/
		double Hs = hs(samp,par);
		printf("\nHs = %0.3f\n", Hs);

		/* test Hs full genome */
		Hs = hs_full_genome(samp,par);
		printf("\nHs (full genome) = %0.5f\n", Hs);

		/* test nb of snps */
		int nball = nb_snps(samp,par);
		printf("\nnumber of SNPs = %d\n", nball);

		/* test mean nb of snps */
		double temp = mean_nb_snps(samp);
		printf("\nmean number of SNPs = %.2f\n", temp);

		/* test var nb of snps */
		temp = var_nb_snps(samp);
		printf("\nvariance of number of alleles = %.2f\n", temp);

		/* test pairwise distances */
		struct distmat_int *mat = pairwise_dist(samp, par);
		print_distmat_int(mat);

		/* test mean pairwise distances */
		temp = mean_pairwise_dist(samp,par);
		printf("\nmean pairwise distance: %.2f", temp);

		/* test variance of pairwise distances */
		temp = var_pairwise_dist(samp,par);
		printf("\nvar pairwise distance: %.2f", temp);

		/* test Fst */
		temp = fst(samp,par);
		printf("\nfst: %.2f", temp);


		printf("\n\n");

		/* free memory */
		free_sample(samp);
		free_snplist(snpbilan);
		free_allfreq(freq);
		free_distmat_int(mat);

	}

	/* write group sizes to file */
	printf("\n\nPrinting group sizes to file 'out-popsize.txt'");
	write_ts_groupsizes(grpsizes);

	/* free memory */
	free_metapopulation(metapop);
	free_param(par);
	for(i=0;i<counter_sample;i++) free_sample(samplist[i]);
	free(samplist);
	free_table_int(tabdates);
	free_network(cn);
	free_ts_groupsizes(grpsizes);
}
Exemple #2
0
	/*
	 * Constructor #3
	 *
	 * The constructor scans the input once and computes
	 * characters probabilities. These probabilities are
	 * used to Huffman-encode run heads. The stream used here
	 * should be the same used in parse(istream& in, ostream& out)
	 * (but it is not necesssary)
	 *
	 * Here Run-heads are Huffman encoded.
	 *
	 */
	rle_lz77_v2(istream& in){

		auto freqs = get_frequencies(in);
		RLBWT = rle_bwt(freqs);

	}