- Fixes an issue where default RBAC policy could fail to reconcile on API server startup if an error was encountered ([#101954](https://github.com/kubernetes/kubernetes/pull/101954), [@voutcn](https://github.com/voutcn)) [SIG Auth]
- Improve speed of vSphere PV provisioning and reduce number of API calls ([#102351](https://github.com/kubernetes/kubernetes/pull/102351), [@gnufied](https://github.com/gnufied)) [SIG Cloud Provider and Storage]

      totalCount += count;
      return this;
    }

    AvlNode<E> add(
        Comparator<? super E> comparator, @ParametricNullness E e, int count, int[] result) {
      /*
       * It speeds things up considerably to unconditionally add count to totalCount here,
       * but that destroys failure atomicity in the case of count overflow. =(
       */
      int cmp = comparator.compare(e, getElement());

pkg math/rand, method (*Rand) Perm(int) []int
pkg math/rand, method (*Rand) Seed(int64)
pkg math/rand, method (*Rand) Uint32() uint32
pkg math/rand, method (*Zipf) Uint64() uint64
pkg math/rand, type Rand struct
pkg math/rand, type Source interface { Int63, Seed }
pkg math/rand, type Source interface, Int63() int64
pkg math/rand, type Source interface, Seed(int64)
pkg math/rand, type Zipf struct

     */
    // NB: yes, this is surprisingly high, but that's what the experiments said was necessary
    // Raising this number slows the worst-case contains behavior, speeds up hashFloodingDetected,
    // and reduces the false-positive probability.
    static final int MAX_RUN_MULTIPLIER = 13;

    /**

# ----------------------------------------------------------
#                                                    Suggest
#                                                     ------

# Seed value for popular word suggestion.
suggest.popular.word.seed=0
# Tags for popular word suggestion.
suggest.popular.word.tags=
# Fields for popular word suggestion.
suggest.popular.word.fields=
# Excluded words for popular word suggestion.

 * randomly ordered data (the probability decreases faster than exponentially in N), but if you are
 * passing in unsanitized user data then a malicious user could force it. A light shuffle of the
 * data using an unpredictable seed should normally be enough to thwart this attack.
 *
 * <p>The time taken to compute multiple quantiles on the same dataset using {@link Scale#indexes

pkg go/doc, type Package struct, Examples []*Example
pkg go/doc, type Type struct, Examples []*Example
pkg hash/maphash, func MakeSeed() Seed
pkg hash/maphash, method (*Hash) BlockSize() int
pkg hash/maphash, method (*Hash) Reset()
pkg hash/maphash, method (*Hash) Seed() Seed
pkg hash/maphash, method (*Hash) SetSeed(Seed)
pkg hash/maphash, method (*Hash) Size() int
pkg hash/maphash, method (*Hash) Sum([]uint8) []uint8

        ).build(),
    )
    server.enqueue(
      MockResponse
        .Builder()
        .addHeader("Content-Encoding: gzip")
        .body(gzip("b"))
        .build(),
    )

    // Seed the pool with a bad connection.
    assertContent("a", getResponse(newRequest("/")))

    // Give the server time to disconnect.
    Thread.sleep(500)

	c.Assert(err, nil)
	c.Assert(response.StatusCode, http.StatusOK)

	var buffer bytes.Buffer
	// data to be written into buffer.
	data := "1234567890"
	// seed the random number generator once.
	rand.Seed(3)
	// generate a random number between 13 and 200.
	randInt := getRandomRange(13, 200, -1)
	// write into buffer till length of the buffer is greater than the generated random number.

	"gorm.io/gorm/utils"
	. "gorm.io/gorm/utils/tests"
)

func TestMigrate(t *testing.T) {
	allModels := []interface{}{&User{}, &Account{}, &Pet{}, &Company{}, &Toy{}, &Language{}, &Tools{}, &Man{}}
	rand.Seed(time.Now().UnixNano())
	rand.Shuffle(len(allModels), func(i, j int) { allModels[i], allModels[j] = allModels[j], allModels[i] })
	DB.Migrator().DropTable("user_speaks", "user_friends", "ccc")