add for hw4

hws/hw4/main.c

@@ -0,0 +1,62 @@
+#include <stdio.h>
+#include <stdlib.h>
+
+#include "rng.h"
+#include "rngutil.h"
+
+int cmp(const void *a, const void *b) {
+    float af = *(float *) a;
+    float bf = *(float *) b;
+
+    if (bf - af > 0) {
+        return -1;
+    } else if (bf - af < 0) {
+        return 1;
+    } else {
+        return 0;
+    }
+}
+
+int main() {
+    rng *base = get_rng(8);
+
+    const size_t n_ns = 4;
+    size_t ns[] = {100, 1000, 10000, 100000};
+    float **samples = calloc(n_ns * 2, sizeof(float *));
+
+    size_t i, j;
+    for (i = 0; i < n_ns; i++) {
+        samples[i * 2] = calloc(ns[i], sizeof(float));
+        samples[i * 2 + 1] = calloc(ns[i], sizeof(float));
+        for (j = 0; j < ns[i]; j++) {
+            samples[i * 2][j] = rng_uniform(base, -3, 4);
+            samples[i * 2 + 1][j] = rng_gaussian(base, 0.5, 1.5);
+        }
+        qsort(samples[i * 2], ns[i], sizeof(float), cmp);
+        qsort(samples[i * 2 + 1], ns[i], sizeof(float), cmp);
+    }
+
+    Interval *interval1 = new_interval(100);
+    Interval *interval2 = new_interval(100);
+    for (i = 0; i < n_ns; i++) {
+        intervalizing(interval1, ns[i], samples[i * 2]);
+        intervalizing(interval2, ns[i], samples[i * 2 + 1]);
+        printf("=== Uniform Distribution #%lu\n", i);
+        print_histogram(interval1, ns[i], samples[i * 2]);
+        printf("=== Gaussian Distribution #%lu\n", i);
+        print_histogram(interval2, ns[i], samples[i * 2 + 1]);
+    }
+
+    for (j = 0; j < n_ns * 2; j++) {
+        free(samples[j]);
+    }
+
+    free(samples);
+
+    free_interval(interval1);
+    free_interval(interval2);
+
+    free_rng(base);
+    base = NULL;
+    return 0;
+}