}
    }
  }

  public void testKnownUtf8Hashing() {
    for (Cell<HashFunction, String, String> cell : KNOWN_HASHES.cellSet()) {
      HashFunction func = cell.getRowKey();
      String input = cell.getColumnKey();
      String expected = cell.getValue();
      assertEquals(
          String.format(Locale.ROOT, "Known hash for hash(%s, UTF_8) failed", input),

- Introducing new semantic for metric `volume_operation_total_seconds` to be the end to end latency of volume provisioning/deletion. Existing metric "storage_operation_duration_seconds" will remain untouched, however it is exposed to the following potential...

   * the implementation will need to be revisited to support a more flexible rule.
   */
  private fun assertWildcardRule(rule: String) {
    check(rule.startsWith(WILDCARD_CHAR)) {
      """Wildcard Assertion Failure: '$rule'
A wildcard rule was added with a wildcard that is not in leftmost position! We'll need to change the ${PublicSuffixDatabase::class.java.name} to handle this."""
    }

  }

  public void testHashing() throws Exception {
    for (String stringToTest : INPUTS) {
      for (Table.Cell<String, SecretKey, HashFunction> cell : ALGORITHMS.cellSet()) {
        String algorithm = cell.getRowKey();
        SecretKey key = cell.getColumnKey();
        HashFunction hashFunc = cell.getValue();
        assertMacHashing(HashTestUtils.ascii(stringToTest), algorithm, key, hashFunc);
      }
    }
  }

  }

  public void testKnownStringInputs() {
    assertHash(0, murmur3_32().hashUnencodedChars(""));
    assertHash(679745764, murmur3_32().hashUnencodedChars("k"));
    assertHash(1510782915, murmur3_32().hashUnencodedChars("hell"));
    assertHash(-675079799, murmur3_32().hashUnencodedChars("hello"));
    assertHash(1935035788, murmur3_32().hashUnencodedChars("http://www.google.com/"));
    assertHash(

        "language":   "indonesian"
      },
      "italian_elision": {
        "type":         "elision",
        "articles": [
          "c", "l", "all", "dall", "dell",
          "nell", "sull", "coll", "pell",
          "gl", "agl", "dagl", "degl", "negl",
          "sugl", "un", "m", "t", "s", "v", "d"
        ]
      },
      "italian_stop": {
        "type":       "stop",

        "language":   "indonesian"
      },
      "italian_elision": {
        "type":         "elision",
        "articles": [
          "c", "l", "all", "dall", "dell",
          "nell", "sull", "coll", "pell",
          "gl", "agl", "dagl", "degl", "negl",
          "sugl", "un", "m", "t", "s", "v", "d"
        ]
      },
      "italian_stop": {
        "type":       "stop",

      }
    }
  }

  public void testKnownUtf8Hashing() {
    for (Cell<HashFunction, String, String> cell : KNOWN_HASHES.cellSet()) {
      HashFunction func = cell.getRowKey();
      String input = cell.getColumnKey();
      String expected = cell.getValue();
      assertEquals(
          String.format(Locale.ROOT, "Known hash for hash(%s, UTF_8) failed", input),

    By having the type as `int | None`, SQLModel will know that this column should be an `INTEGER` in the SQL database and that it should be `NULLABLE`.

* `Field(index=True)` tells SQLModel that it should create a **SQL index** for this column, that would allow faster lookups in the database when reading data filtered by this column.

{* ../../docs_src/response_model/tutorial003_02.py hl[8,10:11] *}

Dieser einfache Anwendungsfall wird automatisch von FastAPI gehandhabt, weil die Annotation des Rückgabetyps die Klasse (oder eine Unterklasse von) `Response` ist.

Und Tools werden auch glücklich sein, weil sowohl `RedirectResponse` als auch `JSONResponse` Unterklassen von `Response` sind, die Typannotation ist daher korrekt.

### Eine Unterklasse von Response annotieren