func randomizeBytes(s []byte, seed int64) []byte {
	// special value -1 means no explicit seeding.
	if seed != -1 {
		rand.Seed(seed)
	}
	n := len(s)
	var j int
	for i := 0; i < n-1; i++ {
		j = i + rand.Intn(n-i)
		s[i], s[j] = s[j], s[i]
	}
	return s
}

func TestToErrIsNil(t *testing.T) {
	if toObjectErr(nil) != nil {

            writeJsonResponse(HttpServletResponse.SC_BAD_REQUEST, escapeJsonKeyValue(MESSAGE_FIELD, "Unsupported operation."));
            return;
        }

        final String seed = request.getParameter("seed");
        String[] tags = SearchRequestParams.getParamValueArray(request, "label");
        final String key = ComponentUtil.getVirtualHostHelper().getVirtualHostKey();
        if (StringUtil.isNotBlank(key)) {

    assertThat(dnsEnd.inetAddressList.size).isEqualTo(1)
  }

  @Test
  fun noDnsLookupOnPooledConnection() {
    server.enqueue(MockResponse())
    server.enqueue(MockResponse())

    // Seed the pool.
    val call1 =
      client.newCall(
        Request
          .Builder()
          .url(server.url("/"))
          .build(),
      )
    val response1 = call1.execute()

# ----------------------------------------------------------
#                                                    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.

				"application/vnd.ezpix-album",
				"application/vnd.ezpix-package",
				"application/vnd.f-secure.mobile",
				"application/vnd.fdf",
				"application/vnd.fdsn.mseed",
				"application/vnd.fdsn.seed",
				"application/vnd.ffsns",
				"application/vnd.fints",
				"application/vnd.flographit",
				"application/vnd.fluxtime.clip",
				"application/vnd.font-fontforge-sfd",
				"application/vnd.framemaker",

	"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")

   */
  // Define
  TF_Operation* feed = Placeholder(func_graph_, s_);
  Define(-1, {}, {feed}, {feed}, {});

  // Use, run, and verify
  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({func_feed});
  Run({{func_feed, Int32Tensor(3)}}, func_op, 3);
  VerifyFDef(empty_, {{"feed_0", DT_INT32}}, {{"feed", DT_INT32}},
             {{"feed_0", "feed"}}, {});
}

  EXPECT_EQ(1, TF_OperationOutputListLength(feed, "output", s));
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  EXPECT_EQ(0, TF_OperationNumInputs(feed));
  EXPECT_EQ(0, TF_OperationOutputNumConsumers(TF_Output{feed, 0}));
  EXPECT_EQ(0, TF_OperationNumControlInputs(feed));
  EXPECT_EQ(0, TF_OperationNumControlOutputs(feed));

  tensorflow::AttrValue attr_value;

# See https://docs.microsoft.com/en-us/cpp/preprocessor/preprocessor-experimental-overview
build:windows --copt=/Zc:preprocessor
build:windows --host_copt=/Zc:preprocessor

# Misc build options we need for windows.
build:windows --linkopt=/DEBUG
build:windows --host_linkopt=/DEBUG
build:windows --linkopt=/OPT:REF
build:windows --host_linkopt=/OPT:REF
build:windows --linkopt=/OPT:ICF

   * is {@code 60}, and the concurrency level is {@code 8}, then eight segments are created, each
   * having a hash table of size eight. Providing a large enough estimate at construction time
   * avoids the need for expensive resizing operations later, but setting this value unnecessarily
   * high wastes memory.
   *
   * @return this {@code CacheBuilder} instance (for chaining)