discussion, and please direct specific questions to
[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**

The TensorFlow project strives to abide by generally accepted best practices in
open-source software development.

## Patching guidelines

Follow these steps to patch a specific version of TensorFlow, for example, to
apply fixes to bugs or security vulnerabilities:

   * @throws InterruptedException if interrupted while waiting
   */
  @CanIgnoreReturnValue
  @J2ktIncompatible
  @GwtIncompatible // BlockingQueue
  @SuppressWarnings("GoodTime") // should accept a java.time.Duration
  public static <E> int drain(
      BlockingQueue<E> q,
      Collection<? super E> buffer,
      int numElements,
      long timeout,
      TimeUnit unit)

---

Another useful case is when you want to have keys of another type (e.g., `int`).

That's what we are going to see here.

In this case, you would accept any `dict` as long as it has `int` keys with `float` values:

{* ../../docs_src/body_nested_models/tutorial009_py39.py hl[7] *}

/// tip

Keep in mind that JSON only supports `str` as keys.

      }
    }
  }

  @Throws(IOException::class)
  fun flush() {
    writer.flush()
  }

  /**
   * Degrades this connection such that new streams can neither be created locally, nor accepted
   * from the remote peer. Existing streams are not impacted. This is intended to permit an endpoint
   * to gracefully stop accepting new requests without harming previously established streams.
   */

   *
   * <p>If any parts of the range are already present in this map, those parts are mapped to new
   * values by applying the remapping function. The remapping function accepts the map's existing
   * value for that part of the range and the given value. It returns the value to be associated
   * with that part of the map, or it returns {@code null} to clear that part of the map.
   *

# Maintenance Mode

**This project is currently under maintenance and is not accepting new changes.**

- The codebase is in a maintenance-only state
- No new features, enhancements, or pull requests will be accepted
- Critical security fixes may be evaluated on a case-by-case basis
- Existing issues and pull requests will not be actively reviewed
- Community support continues on a best-effort basis through [Slack](https://slack.min.io)

 * your server's TLS administrator!
 *
 * ### Note about self-signed certificates
 *
 * [CertificatePinner] can not be used to pin self-signed certificate if such certificate is not
 * accepted by [javax.net.ssl.TrustManager].
 *
 * See also [OWASP: Certificate and Public Key Pinning][owasp].
 *
 * [charles]: http://charlesproxy.com
 * [fiddler]: http://fiddlertool.com
 * [langley]: http://goo.gl/AIx3e5

    server.enqueue(MockResponse.Builder().body("hello world").build())
    val url = server.url("/").toUrl()
    val connection = url.openConnection() as HttpURLConnection
    connection.setRequestProperty("Accept-Language", "en-US")
    val reader = BufferedReader(InputStreamReader(connection.inputStream, UTF_8))
    assertThat(connection.responseCode).isEqualTo(HttpURLConnection.HTTP_OK)

internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access

  /**
   * Represents an operation that accepts a {@link ValueAndCloser} for the last step in a {@link
   * ClosingFuture} pipeline.
   *
   * @param <V> the type of the final value of a successful pipeline
   * @see ClosingFuture#finishToValueAndCloser(ValueAndCloserConsumer, Executor)
   */
  public interface ValueAndCloserConsumer<V extends @Nullable Object> {