.fn[i],s="card",r='[data-card-widget="card-refresh"]',d={source:"",sourceSelector:"",params:{},trigger:r,content:".card-body",loadInContent:!0,loadOnInit:!0,loadErrorTemplate:!0,responseType:"",overlayTemplate:'<div class="overlay"><i class="fas fa-2x fa-sync-alt fa-spin"></i></div>',errorTemplate:'<span class="text-danger"></span>',onLoadStart:function(){},onLoadDone:function(e){return e},onLoadFail:function(e,t,a){}},f=function(){function e(e,t){if(this._element=e,this._parent=e.parents(".card...

Unfortunately it crashes on OkHttp 4.x’s bytecode. Until [Google’s bug][advanced_profiling_bug] is
fixed you must disable advanced profiling in Android Studio.

![Disable Advanced Profiling](../assets/images/disable_advanced_profiling@2x.png)


R8 / ProGuard
-------------

R8 and ProGuard are both code optimizers for `.class` files.

R8 is the [default optimizer][r8] in Android Studio 3.4 and newer. It works well with all

![Interceptors Diagram](../assets/images/interceptors@2x.png)

### Application Interceptors

Interceptors are registered as either _application_ or _network_ interceptors. We'll use the `LoggingInterceptor` defined above to show the difference.

    Random r = new Random(9);
    for (int i = 0; i < ITERS; i++) {
      countRemaps(r.nextLong(), map);
    }
    for (int shard = 2; shard <= MAX_SHARDS; shard++) {
      // Rough: don't exceed 1.2x the expected number of remaps by more than 20
      assertThat((double) map.get(shard)).isAtMost(1.2 * ITERS / shard + 20);
    }
  }

  private void countRemaps(long h, AtomicLongMap<Integer> map) {
    int last = 0;

    server.enqueue(mockResponse)
    val responseAfter = MockResponse(body = "This comes after a busted connection")
    server.enqueue(responseAfter)
    server.enqueue(responseAfter) // Enqueue 2x because the broken connection may be reused.
    val response1 = getResponse(newRequest("/a"))
    response1.body
      .source()
      .timeout()
      .timeout(100, TimeUnit.MILLISECONDS)

- Achieved 2X performance improvement on both required and preferred PodAffinity. ([#76243](https://github.com/kubernetes/kubernetes/pull/76243), [@Huang-Wei](https://github.com/Huang-Wei))

- Improved FormatMap: Improves performance by about 4x, or nearly 2x in the worst case ([#112661](https://github.com/kubernetes/kubernetes/pull/112661), [@aimuz](https://github.com/aimuz)) [SIG Node]

dLimbs := d.limbs[:size] mLimbs := m.nat.limbs[:size] // Each iteration of this loop computes x = 2x + b mod m, where b is a bit // from y. Effectively, it left-shifts x and adds y one bit at a time, // reducing it every time. // // To do the reduction, each iteration computes both 2x + b and 2x + b - m. // The next iteration (and finally the return line) will use either result // based on whether 2x + b overflows m. needSubtraction := no for i := _W - 1; i >= 0; i-- { carry := (y >> i) & 1 var borrow...

dLimbs := d.limbs[:size] mLimbs := m.nat.limbs[:size] // Each iteration of this loop computes x = 2x + b mod m, where b is a bit // from y. Effectively, it left-shifts x and adds y one bit at a time, // reducing it every time. // // To do the reduction, each iteration computes both 2x + b and 2x + b - m. // The next iteration (and finally the return line) will use either result // based on whether 2x + b overflows m. needSubtraction := no for i := _W - 1; i >= 0; i-- { carry := (y >> i) & 1 var borrow...

* ✨ Serialize JSON response with Pydantic (in Rust), when there's a Pydantic return type or response model. PR [#14962](https://github.com/fastapi/fastapi/pull/14962) by [@tiangolo](https://github.com/tiangolo).
    * This results in 2x (or more) performance increase for JSON responses.
    * New docs: [Custom Response - JSON Performance](https://fastapi.tiangolo.com/advanced/custom-response/#json-performance).

## 0.129.2 (2026-02-21)

### Internal