* for the next update or finish.
     *
     * @param    input    input block
     * @param    offset    start of meaningful bytes in input
     * @param    len        count of bytes in input block to consider
     */
    @Override
    public void engineUpdate(final byte[] input, final int offset, final int len) {
        // make sure we don't exceed input's allocated size/length

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

## Summary { #summary }

// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.

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

## Resumen { #summary }

    }

    @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

     * so we only verify its acceptance here.
     */
    @Test
    void testConstructor() {
        // The constructor should not throw any exceptions with valid inputs.
        new DosFileFilter("*.*", SmbFile.ATTR_ARCHIVE);
        new DosFileFilter("?", SmbFile.ATTR_DIRECTORY);
        new DosFileFilter("file.txt", SmbFile.ATTR_READONLY | SmbFile.ATTR_HIDDEN);
    }

    /**

    List<List<Integer>> input = newArrayList(list1, list2);

    FluentIterable<Integer> result = FluentIterable.concat(input);
    assertEquals(asList(1, 4), newArrayList(result));

    // Now change the inputs and see result dynamically change as well

    list1.add(2);
    List<Integer> list3 = newArrayList(3);
    input.add(1, list3);

/**
 * Tests that check the end-to-end behavior of a Gradle distribution.
 * They can have a locally built Gradle distribution on their runtime classpath
 * and distributions as well as local repositories as additional test inputs
 * to test functionality that requires rea distributions (like the wrapper)
 * or separately published libraries (like the Tooling API Jar).
 */

        byte[] derived = new byte[length];

        // Combine inputs
        byte[] labelBytes = label.getBytes(java.nio.charset.StandardCharsets.UTF_8);
        byte[] input = new byte[baseKey.length + labelBytes.length + (context != null ? context.length : 0)];

        int pos = 0;
        System.arraycopy(baseKey, 0, input, pos, baseKey.length);
        pos += baseKey.length;

   * (key) bits 'affects' a strictly smaller set of output bits. Funneling is bad because it can
   * result in more-than-ideal collisions for a non-uniformly distributed key space. In practice,
   * most key spaces are ANYTHING BUT uniformly distributed. A bit(i) in the input is said to
   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output