Use test's random generator

This removes the `create` calls when a test was only setting up a
generator, and it replaces them with `reset` when run in a loop.
This commit is contained in:
Feoramund
2024-06-15 15:49:05 -04:00
parent 5dfd303fd1
commit 1a52cf1f1c
5 changed files with 16 additions and 38 deletions
+13 -26
View File
@@ -16,8 +16,7 @@ map_insert_random_key_value :: proc(t: ^testing.T) {
defer delete(m)
unique_keys := 0
r := rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<entries {
k := rand.int63()
v := rand.int63()
@@ -37,8 +36,7 @@ map_insert_random_key_value :: proc(t: ^testing.T) {
testing.expectf(t, len(m) == unique_keys, "Expected len(map) to equal %v, got %v", unique_keys, len(m))
// Reset randomizer and verify
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
num_fails := 0
for _ in 0..<entries {
@@ -68,8 +66,7 @@ map_update_random_key_value :: proc(t: ^testing.T) {
defer delete(m)
unique_keys := 0
r := rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<entries {
k := rand.int63()
@@ -92,8 +89,7 @@ map_update_random_key_value :: proc(t: ^testing.T) {
half_entries := entries / 2
// Reset randomizer and update half the entries
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<half_entries {
k := rand.int63()
@@ -103,8 +99,7 @@ map_update_random_key_value :: proc(t: ^testing.T) {
}
// Reset randomizer and verify
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
num_fails := 0
for i in 0..<entries {
@@ -135,8 +130,7 @@ map_delete_random_key_value :: proc(t: ^testing.T) {
defer delete(m)
unique_keys := 0
r := rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<entries {
k := rand.int63()
@@ -159,8 +153,7 @@ map_delete_random_key_value :: proc(t: ^testing.T) {
half_entries := entries / 2
// Reset randomizer and delete half the entries
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<half_entries {
k := rand.int63()
@@ -170,8 +163,7 @@ map_delete_random_key_value :: proc(t: ^testing.T) {
}
// Reset randomizer and verify
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
num_fails := 0
for i in 0..<entries {
@@ -218,8 +210,7 @@ set_insert_random_key_value :: proc(t: ^testing.T) {
defer delete(m)
unique_keys := 0
r := rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<entries {
k := rand.int63()
@@ -238,8 +229,7 @@ set_insert_random_key_value :: proc(t: ^testing.T) {
testing.expectf(t, len(m) == unique_keys, "Expected len(map) to equal %v, got %v", unique_keys, len(m))
// Reset randomizer and verify
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
num_fails := 0
for _ in 0..<entries {
@@ -268,8 +258,7 @@ set_delete_random_key_value :: proc(t: ^testing.T) {
defer delete(m)
unique_keys := 0
r := rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<entries {
k := rand.int63()
@@ -291,8 +280,7 @@ set_delete_random_key_value :: proc(t: ^testing.T) {
half_entries := entries / 2
// Reset randomizer and delete half the entries
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
for _ in 0..<half_entries {
k := rand.int63()
@@ -300,8 +288,7 @@ set_delete_random_key_value :: proc(t: ^testing.T) {
}
// Reset randomizer and verify
r = rand.create(t.seed + seed_incr)
context.random_generator = rand.default_random_generator(&r)
rand.reset(t.seed + seed_incr)
num_fails := 0
for i in 0..<entries {