*/
  // TODO(user): Evaluate whether it makes sense to always piggyback the computation of a
  // HashCode on an existing OutputStream, compared to creating a separate OutputStream that could
  // be (optionally) be combined with another if needed (with something like
  // MultiplexingOutputStream).
  public HashingOutputStream(HashFunction hashFunction, OutputStream out) {
    super(checkNotNull(out));

     * hashes (meaning negotiated via NTLM HTTP Authentication) and the other does not they will not be equal. This is
     * technically not correct however the server 8 byte challenge would be required to compute and compare the password
     * hashes but that it not available with this method.
     */
    @Override
    public boolean equals(final Object obj) {
        if (super.equals(obj)) {

        this.rssCapable = checkRSSCapability();
        if (rssCapable) {
            this.capability |= Smb2ChannelCapabilities.NETWORK_INTERFACE_CAP_RSS;
        }

        // RDMA capability would require OS-specific detection
        this.rdmaCapable = false;
    }

    /**
     * Get the interface index
     *
     * @return interface index
     */
    public int getInterfaceIndex() {

    assertTrue(regular instanceof RegularContiguousSet);
    reserializeAndAssert(regular);

    /*
     * Make sure that we're using RegularContiguousSet.SerializedForm and not
     * ImmutableSet.SerializedForm, which would be enormous.
     */
    ContiguousSet<Integer> enormous = ContiguousSet.create(Range.<Integer>all(), integers());
    assertTrue(enormous instanceof RegularContiguousSet);

  }

  @GwtIncompatible // different overflow behavior; could probably be made to work by using ~~
  public void testConcat_overflow_negative() {
    int dim1 = 1 << 16;
    int dim2 = 1 << 15;
    assertThat(dim1 * dim2).isLessThan(0);
    testConcatOverflow(dim1, dim2);
  }

  @GwtIncompatible // different overflow behavior; could probably be made to work by using ~~

/**
 * Unit test for {@link Resources}.
 *
 * @author Chris Nokleberg
 */

@NullUnmarked
public class ResourcesTest extends IoTestCase {

  @AndroidIncompatible // wouldn't run anyway, but strip the source entirely because of b/230620681
  public static TestSuite suite() {
    TestSuite suite = new TestSuite();
    suite.addTest(
        ByteSourceTester.tests(

        FileSource source = new FileSource(txtFile);

        try (InputStream is = source.getInputStream();
                Scanner scanner = new Scanner(is)) {

            assertEquals("Hello World!", scanner.nextLine());
        }
    }

    @Test
    void testGetLocation() {
        File txtFile = new File("target/test-classes/source.txt");
        FileSource source = new FileSource(txtFile);

- 建立一個 python 檔案 `main.py`，並寫入以下程式碼：

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

* Créez un fichier `main.py` avec :

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

        -  It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own!
        -  If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.