pokeemerald/test/random.c

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#include "global.h"
#include "test.h"
#include "random.h"
2023-07-05 19:46:40 +02:00
// We expect each element to have an indexSum of 3.5 * 1024.
// Therefore the maximum error is 8*3584, or 28672.
#define SHUFFLE_TEST_IMPL \
u32 i, j, error; \
u16 indexSum[7]; \
memset(indexSum, 0, sizeof(indexSum)); \
for (i = 0; i < 1024; i++) \
{ \
Shuffle(array, ARRAY_COUNT(array), sizeof(array[0])); \
for (j = 0; j < ARRAY_COUNT(array); j++) \
indexSum[array[j]] += j; \
} \
error = 0; \
for (i = 0; i < ARRAY_COUNT(indexSum); i++) \
error += abs(3584 - indexSum[i]); \
EXPECT_LT(error, (int)(28672 * 0.025));
TEST("Shuffle randomizes the array [Shuffle8]")
{
u8 array[8] = { 0, 1, 2, 3, 4, 5, 6, 7 };
SHUFFLE_TEST_IMPL;
}
TEST("Shuffle randomizes the array [Shuffle16]")
{
u16 array[8] = { 0, 1, 2, 3, 4, 5, 6, 7 };
SHUFFLE_TEST_IMPL;
}
TEST("Shuffle randomizes the array [Shuffle32]")
{
u32 array[8] = { 0, 1, 2, 3, 4, 5, 6, 7 };
SHUFFLE_TEST_IMPL;
}
TEST("Shuffle randomizes the array [Shuffle64]")
{
u64 array[8] = { 0, 1, 2, 3, 4, 5, 6, 7 };
SHUFFLE_TEST_IMPL;
}
TEST("RandomUniform generates lo..hi")
{
u32 lo, hi, i;
PARAMETRIZE { lo = 0; hi = 1; }
PARAMETRIZE { lo = 0; hi = 2; }
PARAMETRIZE { lo = 0; hi = 3; }
PARAMETRIZE { lo = 2; hi = 4; }
for (i = 0; i < 1024; i++)
{
u32 r = RandomUniformDefault(RNG_NONE, lo, hi);
EXPECT(lo <= r && r <= hi);
}
}
TEST("RandomWeighted generates 0..n-1")
{
u32 n, sum, i;
static const u8 ws[8] = { 1, 1, 1, 1, 1, 1, 1, 1 };
PARAMETRIZE { n = 1; }
PARAMETRIZE { n = 2; }
PARAMETRIZE { n = 3; }
PARAMETRIZE { n = 4; }
ASSUME(n <= ARRAY_COUNT(ws));
for (i = 0, sum = 0; i < n; i++)
sum += ws[i];
for (i = 0; i < 1024; i++)
{
u32 r = RandomWeightedArrayDefault(RNG_NONE, sum, n, ws);
EXPECT(0 <= r && r < n);
}
}
TEST("RandomElement generates an element")
{
u32 i;
static const u8 es[4] = { 1, 2, 4, 8 };
for (i = 0; i < 1024; i++)
{
u32 e = *(const u8 *)RandomElementArrayDefault(RNG_NONE, es, sizeof(es[0]), ARRAY_COUNT(es));
EXPECT(e == 1 || e == 2 || e == 4 || e == 8);
}
}
TEST("RandomUniform generates uniform distribution")
{
u32 i, error;
u16 distribution[4];
memset(distribution, 0, sizeof(distribution));
for (i = 0; i < 4096; i++)
{
u32 r = RandomUniformDefault(RNG_NONE, 0, ARRAY_COUNT(distribution) - 1);
EXPECT(0 <= r && r < ARRAY_COUNT(distribution));
distribution[r]++;
}
error = 0;
for (i = 0; i < ARRAY_COUNT(distribution); i++)
error += abs(UQ_4_12(0.25) - distribution[i]);
EXPECT_LT(error, UQ_4_12(0.025));
}
TEST("RandomWeighted generates distribution in proportion to the weights")
{
u32 i, sum, error;
static const u8 ws[4] = { 1, 2, 2, 3 };
u16 distribution[ARRAY_COUNT(ws)];
for (i = 0, sum = 0; i < ARRAY_COUNT(ws); i++)
sum += ws[i];
memset(distribution, 0, sizeof(distribution));
for (i = 0; i < 4096; i++)
{
u32 r = RandomWeightedArrayDefault(RNG_NONE, sum, ARRAY_COUNT(ws), ws);
EXPECT(0 <= r && r < ARRAY_COUNT(ws));
distribution[r]++;
}
error = 0;
error += abs(UQ_4_12(0.125) - distribution[0]);
error += abs(UQ_4_12(0.250) - distribution[1]);
error += abs(UQ_4_12(0.250) - distribution[2]);
error += abs(UQ_4_12(0.375) - distribution[3]);
EXPECT_LT(error, UQ_4_12(0.025));
}
TEST("RandomElement generates a uniform distribution")
{
u32 i, error;
static const u8 es[4] = { 1, 2, 4, 8 };
u16 distribution[9];
memset(distribution, 0, sizeof(distribution));
for (i = 0; i < 4096; i++)
{
u32 e = *(const u8 *)RandomElementArrayDefault(RNG_NONE, es, sizeof(es[0]), ARRAY_COUNT(es));
distribution[e]++;
}
error = 0;
for (i = 0; i < ARRAY_COUNT(es); i++)
error += abs(UQ_4_12(0.25) - distribution[es[i]]);
EXPECT_LT(error, UQ_4_12(0.025));
}