const string& v = default_value.list().s(i);
          values_vector.push_back(v.data());
          lengths_vector.push_back(v.size());
        }
        TFE_OpSetAttrStringList(op, attr_name, values_vector.data(),
                                lengths_vector.data(), s_size);
      }

      // Int
      if (const int i_size = default_value.list().i_size()) {

        if ( Character.isDigit(hostname.charAt(0)) ) {
            int i, len, dots;
            char[] data;

            i = dots = 0; /* quick IP address validation */
            len = hostname.length();
            data = hostname.toCharArray();
            while ( i < len && Character.isDigit(data[ i++ ]) ) {
                if ( i == len && dots == 3 ) {
                    // probably an IP address

    for (int i = 0; i < lengthAligned; i += 8) {
      long loaded = load64(bytes, offset + i);
      long data = shiftMix(loaded * mul) * mul;
      hash ^= data;
      hash *= mul;
    }

    if (lengthRemainder != 0) {
      long data = load64Safely(bytes, offset + lengthAligned, lengthRemainder);
      hash ^= data;
      hash *= mul;
    }

    hash = shiftMix(hash) * mul;
    hash = shiftMix(hash);

     * @return The name of the tag, must not be {@code null}.
     */
    String getName();

    /**
     * Gets the type of data associated with this tag.
     *
     * @return The type of data, must not be {@code null}.
     */
    Class<T> getType();

    /**
     * The tag used for the raw model without profile activation
     */
    ModelCacheTag<ModelData> RAW = new ModelCacheTag<ModelData>() {

        @Override

    }
    return ~crc;
  }

  /**
   * Verifies that the crc of an array of byte data matches the expected value.
   *
   * @param expectedCrc the expected crc value.
   * @param data the data to run the checksum on.
   */
  private static void assertCrc(int expectedCrc, byte[] data) {
    int actualCrc = Hashing.crc32c().hashBytes(data).asInt();
    assertEquals(

  /**
   * Creates a table with the specified data.
   *
   * @param data the table data, repeating the sequence row key, column key, value once per mapping
   * @throws IllegalArgumentException if the size of {@code data} isn't a multiple of 3
   * @throws ClassCastException if a data element has the wrong type
   */
  protected abstract Table<String, Integer, C> create(@Nullable Object... data);

  protected void assertSize(int expectedSize) {

def test_login(client: TestClient):
    response = client.post("/token", data={"username": "johndoe", "password": "secret"})
    assert response.status_code == 200, response.text
    assert response.json() == {"access_token": "johndoe", "token_type": "bearer"}


@needs_py39
def test_login_incorrect_password(client: TestClient):
    response = client.post(
        "/token", data={"username": "johndoe", "password": "incorrect"}
    )

    assert response.json() == {"msg": "Hello World"}


def test_websocket():
    client = TestClient(app)
    with client.websocket_connect("/ws") as websocket:
        data = websocket.receive_json()

        },
    },
)
async def create_item(request: Request):
    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors(include_url=False))

# List zip contents
response = s3.list_objects_v2(Bucket="your-bucket", Prefix="path/to/file.zip/")
print(response)

# Download data.csv stored in the zip file