*  Fix: Immediately update the connection's flow control window instead of waiting for the
    receiving stream to process it.

    This change may increase OkHttp's memory use for applications that make many concurrent HTTP
    calls and that can receive data faster than they can process it. Previously, OkHttp limited
    HTTP/2 to 16 MiB of unacknowledged data per connection. With this fix there is a limit of 16 MiB

<font color="#4E9A06">INFO</font>:     Started reloader process [<font color="#34E2E2"><b>2265862</b></font>] using <font color="#34E2E2"><b>WatchFiles</b></font>
<font color="#4E9A06">INFO</font>:     Started server process [<font color="#06989A">2265873</font>]
<font color="#4E9A06">INFO</font>:     Waiting for application startup.

 */
package okhttp3.tls.internal.der

import java.net.ProtocolException

/**
 * Handles basic types that always use the same tag. This supports optional types and may set a type
 * hint for further adapters to process.
 *
 * Types like ANY and CHOICE that don't have a consistent tag cannot use this.
 */
internal data class BasicDerAdapter<T>(
  private val name: String,

**FastAPI** 为了开发者方便提供了该对象. 但其实它直接来自于 Starlette.

///

### 在 `response` 的前和后

在任何*路径操作*收到`request`前,可以添加要和请求一起运行的代码.

也可以在*响应*生成但是返回之前添加代码.

例如你可以添加自定义请求头 `X-Process-Time` 包含以秒为单位的接收请求和生成响应的时间:

{* ../../docs_src/middleware/tutorial001.py hl[10,12:13] *}

## 其他中间件

你可以稍后在 [Advanced User Guide: Advanced Middleware](../advanced/middleware.md){.internal-link target=_blank}阅读更多关于中间件的教程.

# How to configure Prometheus AlertManager

Alerting with prometheus is two step process. First we setup alerts in Prometheus server and then we need to send alerts to the AlertManager.

        String pin = CertificatePinner.pin(certificate);
        if (denylist.contains(pin)) {
          throw new IOException("Denylisted peer certificate: " + pin);
        }
      }
      return chain.proceed(chain.request());
    }
  };

  private final OkHttpClient client = new OkHttpClient.Builder()
      .addNetworkInterceptor(CHECK_HANDSHAKE_INTERCEPTOR)
      .build();

  public void run() throws Exception {

        decodedName.decode(decodeBuffer);

        // Verify the decoded data matches
        assertEquals(translatedName.sid_type, decodedName.sid_type);
        // The decode process doesn't preserve the original length, it reads from the buffer
        assertNotNull(decodedName.name);
        assertNotNull(decodedName.name.buffer);
        // Buffer length is based on maximum_length/2 from the encoded data

 *
 * The task runner is also responsible for releasing held threads when the library is unloaded.
 * This is for the benefit of container environments that implement code unloading.
 *
 * Most applications should share a process-wide [TaskRunner] and use queues for per-client work.
 */
class TaskRunner(
  val backend: Backend,
  internal val logger: Logger = TaskRunner.logger,
) : Lockable {
  private var nextQueueName = 10000

    checkArgument(isFinite(x1) && isFinite(y1));
    return new LinearTransformationBuilder(x1, y1);
  }

  /**
   * This is an intermediate stage in the construction process. It is returned by {@link
   * LinearTransformation#mapping}. You almost certainly don't want to keep instances around, but
   * instead use method chaining. This represents a single point mapping, i.e. a mapping between one

 * (or {@link FluentFuture#transform(com.google.common.base.Function, Executor)
 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.
 * Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *