*  New: Share threads more aggressively between OkHttp's HTTP/2 connections, connection pool,
    web sockets, and cache. OkHttp has a new internal task runner abstraction for managed task
    scheduling. In your debugger you will see new thread names and more use of daemon threads.

 *  Fix: Don't drop callbacks on unexpected exceptions. When an interceptor throws an unchecked

    TFE_Context* ctx, const char* task, int64_t timeout_in_ms,
    TF_Status* status) {
  tensorflow::EagerContext* context =
      tensorflow::ContextFromInterface(tensorflow::unwrap(ctx));
  auto collective_executor_handle = context->GetCollectiveExecutorHandle();
  tensorflow::Notification done;
  collective_executor_handle->get()->remote_access()->CheckPeerHealth(
      task, timeout_in_ms, [&done, status](const Status& s) {

            // a task to finish, then execute another one which waits
            // for the initial task...
            // In order to work around that problem, we override the
            // invokeAll method, so that whenever the method is called,
            // the pool core size will be incremented before submitting
            // all the tasks, then the thread will block waiting for all

Starlette and **FastAPI** are based on <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, which makes them compatible with both Python's standard library <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> and <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

## Redirection

As ztunnel aims to transparently encrypt and route users traffic, we need a mechanism to capture all traffic entering and leaving "mesh" pods.
This is a security critical task: if the ztunnel can be bypassed, authorization policies can be bypassed.

Redirection must meet these requirements:
* All traffic *egressing* a pod in the mesh should be redirected to the node-local ztunnel on port 15001.

* There can be **multiple processes** of the **same program** running at the same time.

If you check out the "task manager" or "system monitor" (or similar tools) in your operating system, you will be able to see many of those processes running.

      "coverage" : {
        "per_commit" : [ "linux", "windows", "macOs" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.android.RealLifeAndroidBuildPerformanceTest.calculate task graph with test finalizer",
    "groups" : [ {
      "testProject" : "largeAndroidBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {

Ancak FastAPI olmadan `async` / `await` kullanmak istiyorsanız, <a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">resmi Python belgelerini kontrol edin</a>.

### Asenkron kodun diğer biçimleri

Bu `async` ve `await` kullanimi oldukça yenidir.

Starlette (и **FastAPI**) основаны на <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, что делает их совместимыми как со стандартной библиотекой <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> в Python, так и с <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.<!--http://new.gramota.ru/spravka/buro/search-answer?s=285295-->

Mas se você quiser usar `async` / `await` sem FastAPI, <a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">verifique a documentação oficial Python</a>.

### Outras formas de código assíncrono

Esse estilo de usar `async` e `await` é relativamente novo na linguagem.