queryContext = new QueryContext("test", true);
        queryContext.addHighlightedQuery("text1");
        queryContext.addHighlightedQuery("text2");
        queryContext.addHighlightedQuery("text1"); // Duplicate

        Set<String> highlightedSet = (Set<String>) getMockRequest().getAttribute(Constants.HIGHLIGHT_QUERIES);
        assertNotNull(highlightedSet);
        assertEquals(2, highlightedSet.size());

            decodedContext.decode(buffer, 0, encoded);

            assertArrayEquals(ciphers, decodedContext.getCiphers());
        }

        @Test
        @DisplayName("Should handle duplicate ciphers")
        void testDuplicateCiphers() throws SMBProtocolDecodingException {
            int[] ciphers = { EncryptionNegotiateContext.CIPHER_AES128_CCM, EncryptionNegotiateContext.CIPHER_AES128_CCM,

### Preprocess the OpenAPI Specification for the Client Generator { #preprocess-the-openapi-specification-for-the-client-generator }

The generated code still has some **duplicated information**.

We already know that this method is related to the **items** because that word is in the `ItemsService` (taken from the tag), but we still have the tag name prefixed in the method name too. 😕

        const auto& v = a_edges.insert({iter->second, arg.name()});
        ASSERT_TRUE(v.second) << "Duplicate edge " << iter->second << " -> "
                              << arg.name() << ". fdef: " << fdef.DebugString();
      } else {
        const auto& v = a_edges.insert({arg.name(), arg.name()});
        ASSERT_TRUE(v.second) << "Duplicate edge " << arg.name() << " -> "

> NOTE: Server side replication is supported for idempotent versions on directory objects.

### Idempotent versions on delete markers

		// Range cannot start bigger than end.
		{":9000", []string{"/export1{64...1}"}, false},
		// Range can only be numeric.
		{":9000", []string{"/export1{a...z}"}, false},
		// Duplicate disks not allowed.
		{":9000", []string{"/export1{1...32}", "/export1{1...32}"}, false},
		// Same host cannot export same disk on two ports - special case localhost.

          Function<? super T, ? extends V> valueFunction) {
    checkNotNull(comparator);
    checkNotNull(keyFunction);
    checkNotNull(valueFunction);
    /*
     * We will always fail if there are duplicate keys, and the keys are always sorted by
     * the Comparator, so the entries can come in an arbitrary order -- so we report UNORDERED.
     */
    return Collector.of(

          Function<? super T, ? extends V> valueFunction) {
    checkNotNull(comparator);
    checkNotNull(keyFunction);
    checkNotNull(valueFunction);
    /*
     * We will always fail if there are duplicate keys, and the keys are always sorted by
     * the Comparator, so the entries can come in an arbitrary order -- so we report UNORDERED.
     */
    return Collector.of(

Jetzt, selbst wenn Sie einen Request mit duplizierten Daten erhalten, werden diese zu einem Set eindeutiger Dinge konvertiert.

Und wann immer Sie diese Daten ausgeben, selbst wenn die Quelle Duplikate hatte, wird es als Set von eindeutigen Dingen ausgegeben.

Und es wird entsprechend annotiert/dokumentiert.

## Verschachtelte Modelle

Jedes Attribut eines Pydantic-Modells hat einen Typ.

   * insertion order.
   */
  private void populateTShapedGraph() {
    putEdge(2, 1);
    putEdge(1, 4);
    putEdge(1, 3);
    putEdge(1, 2); // Duplicate
    putEdge(4, 5);
  }

  // Element Mutation

  @Test
  public void putEdge_existingNodes() {
    assume().that(graphIsMutable()).isTrue();