@Override
      public void run() {
        lock.lock();
        try {
          /*
           * requireNonNull is safe because Task isn't run (or at least it doesn't succeed in taking
           * the lock) until after it's scheduled and the runningTask field is set.
           */
          if (requireNonNull(runningTask).isCancelled()) {

	return
}

// When numeric types are compared, type promotions could happen. If
// values do not have types (e.g. when reading from CSV), for
// comparison operations, automatic type conversion happens by trying
// to check if the value is a number (first an integer, then a float),
// and falling back to string.
func (v *Value) compareOp(op string, a *Value) (res bool, err error) {
	if !isValidComparisonOperator(op) {

    tensorflow::ImmediateExecutionTensorHandle* unwrapped_handle =
        tensorflow::unwrap(handles[i]);
    if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) {
      // One of the inputs we're trying to pack is on a custom device. We'll let
      // the first custom device we see handle all of the packing.
      auto* custom_device_handle =
          tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>(

              @Override
              public void run() {
                boolean createSymlink = false;
                while (!Thread.interrupted()) {
                  try {
                    // trying to switch between a real directory and a symlink (dir -> /a)
                    if (Files.deleteIfExists(file)) {
                      if (createSymlink) {
                        Files.createSymbolicLink(file, target);

Don't worry, with the way the code is structured, we'll make sure we use **a single SQLModel *session* per request** later, this is actually what the `check_same_thread` is trying to achieve.

### Create the Tables

We then add a function that uses `SQLModel.metadata.create_all(engine)` to **create the tables** for all the *table models*.

	}()

	c.connMu.Lock()
	connPingInterval := c.connPingInterval
	c.connMu.Unlock()
	ping := time.NewTicker(connPingInterval)
	pingFrame := message{
		Op:         OpPing,
		DeadlineMS: uint32(connPingInterval.Milliseconds()),
		Payload:    make([]byte, pingMsg{}.Msgsize()),
	}

	defer ping.Stop()
	queue := make([][]byte, 0, maxMergeMessages)
	merged := make([]byte, 0, writeBufferSize)

    payload2: Int,
  ) {
    try {
      writer.ping(reply, payload1, payload2)
    } catch (e: IOException) {
      failConnection(e)
    }
  }

  /** For testing: sends a ping and waits for a pong. */
  @Throws(InterruptedException::class)
  fun writePingAndAwaitPong() {
    writePing()
    awaitPong()
  }

  /** For testing: sends a ping to be awaited with [awaitPong]. */

      Iterable<? extends R> rowKeys, Iterable<? extends C> columnKeys) {
    return new ArrayTable<>(rowKeys, columnKeys);
  }

  /*
   * TODO(jlevy): Add factory methods taking an Enum class, instead of an
   * iterable, to specify the allowed row keys and/or column keys. Note that
   * custom serialization logic is needed to support different enum sizes during
   * serialization and deserialization.

   *   multisetToModify.remove(e);
   * }
   * }</pre>
   *
   * @return {@code true} if {@code multisetToModify} was changed as a result of this operation
   * @since 10.0 (missing in 18.0 when only the overload taking an {@code Iterable} was present)
   */
  @CanIgnoreReturnValue
  public static boolean removeOccurrences(
      Multiset<?> multisetToModify, Multiset<?> occurrencesToRemove) {
    checkNotNull(multisetToModify);

   *   multisetToModify.remove(e);
   * }
   * }</pre>
   *
   * @return {@code true} if {@code multisetToModify} was changed as a result of this operation
   * @since 10.0 (missing in 18.0 when only the overload taking an {@code Iterable} was present)
   */
  @CanIgnoreReturnValue
  public static boolean removeOccurrences(
      Multiset<?> multisetToModify, Multiset<?> occurrencesToRemove) {
    checkNotNull(multisetToModify);