}

    @ParameterizedTest
    @ValueSource(strings = { "", "password", "pässwörd", "1234567890abcdef" })
    @DisplayName("nTOWFv1 equals getNTHash across inputs")
    void testNTOWFv1_delegatesToGetNTHash(String password) {
        // Act
        byte[] h1 = NtlmUtil.nTOWFv1(password);
        byte[] h2 = NtlmUtil.getNTHash(password);

        // Assert

            // Then
            assertNotNull(result, "Result should never be null");
            if (input == null || input.isEmpty()) {
                assertEquals(0, result.length, "Null or empty input should produce empty array");
            } else {
                assertTrue(result.length > 0, "Non-empty input should produce non-empty array");
            }
        }
    }

    @Nested

    their input and output keys silently ignored and rewritten to 'inputs' and
    'outputs'. If a model was exported with different names before 1.2, and is
    now served with tensorflow/serving, it will accept requests using 'inputs'
    and 'outputs'. Starting at 1.2, such a model will accept the keys specified
    during export. Therefore, inference requests using 'inputs' and 'outputs'

   * consistent hashing</a> for more information.
   */
  public static int consistentHash(long input, int buckets) {
    checkArgument(buckets > 0, "buckets must be positive: %s", buckets);
    LinearCongruentialGenerator generator = new LinearCongruentialGenerator(input);
    int candidate = 0;
    int next;

    // Jump from bucket to bucket until we go out of range
    while (true) {

     *
     * Unfortunately, we don't distinguish between these two cases in our public API: Joiner.on(...)
     * and Joiner.on(...).useForNull(...) both declare the same return type: plain Joiner. To ensure
     * that users *can* pass null arguments to Joiner, we annotate it as if it always tolerates null
     * inputs, rather than as if it never tolerates them.
     *

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please"
        }
    ]
}
```

## Заключение

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please",
        }
    ]
}
```

## Resumen

クエリパラメータ `tool` が許可されていないことを通知する**エラー**レスポンスが返されます。

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["query", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus"
        }
    ]
}
```

## まとめ

**FastAPI**では、**クエリパラメータ**を宣言するために、**Pydanticモデル**を使用できます。😎

/// tip | 豆知識

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please",
        }
    ]
}
```

## Summary { #summary }

            // * if single date picker mode, and time picker isn't enabled, apply the selection immediately
            // * if one of the inputs above the calendars was focused, cancel that manual input
            //

            if (this.endDate || date.isBefore(this.startDate, 'day')) { //picking start
                if (this.timePicker) {