Knuth's algorithm S: Difference between revisions

Content added Content deleted
(added C)
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* [[One of n lines in a file]]
* [[One of n lines in a file]]
* [[Accumulator factory]]
* [[Accumulator factory]]

=={{header|C}}==

Instead of returning a closure we set the environment in a structure:

<lang c>#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <time.h>

struct s_env {
unsigned int n, i;
size_t size;
void *sample;
};

void s_of_n_init(struct s_env *s_env, size_t size, unsigned int n)
{
s_env->i = 0;
s_env->n = n;
s_env->size = size;
s_env->sample = malloc(n * size);
}

void sample_set_i(struct s_env *s_env, unsigned int i, void *item)
{
memcpy(s_env->sample + i * s_env->size, item, s_env->size);
}

void *s_of_n(struct s_env *s_env, void *item)
{
s_env->i++;
if (s_env->i <= s_env->n)
sample_set_i(s_env, s_env->i - 1, item);
else if ((rand() % s_env->i) < s_env->n)
sample_set_i(s_env, rand() % s_env->n, item);
return s_env->sample;
}

int *test(unsigned int n, int *items_set, unsigned int num_items)
{
int i;
int *sample;
struct s_env s_env;
s_of_n_init(&s_env, sizeof(items_set[0]), n);
for (i = 0; i < num_items; i++) {
s_of_n(&s_env, (void *) &items_set[i]);
}
return (int *)s_env.sample;
}

int main()
{
unsigned int i, j;
unsigned int n = 3;
unsigned int num_items = 10;
unsigned int *frequencies;
int *items_set;
srand(time(NULL));
items_set = malloc(num_items * sizeof(int));
frequencies = malloc(num_items * sizeof(int));
for (i = 0; i < num_items; i++) {
items_set[i] = i;
frequencies[i] = 0;
}
for (i = 0; i < 100000; i++) {
int *res = test(n, items_set, num_items);
for (j = 0; j < n; j++) {
frequencies[res[j]]++;
}
free(res);
}
for (i = 0; i < num_items; i++) {
printf(" %d", frequencies[i]);
}
puts("");
return 0;
}</lang>


=={{header|Common Lisp}}==
=={{header|Common Lisp}}==