## Prerequisites

Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## Run Standalone MinIO on Docker

*Note*: Standalone MinIO is intended for early development and evaluation. For production clusters, deploy a [Distributed](https://min.io/docs/minio/container/operations/install-deploy-manage/deploy-minio-single-node-multi-drive.html) MinIO deployment.

   * OkHttp currently doesn't implement failing the request body stream independently of failing the
   * corresponding response body stream. This is necessary if we want servers to be able to stop
   * inbound data and send an early 400 before the request body completes.
   *
   * This test sends a slow request that is canceled by the server. It expects the response to still
   * be readable after the request stream is canceled.
   */
  @Disabled

        return source.trailers ?: EMPTY_HEADERS
      }
      if (errorCode != null) {
        throw errorException ?: StreamResetException(errorCode!!)
      }
      throw IllegalStateException("too early; can't read the trailers yet")
    }
  }

  /**
   * Sends a reply to an incoming stream.
   *
   * @param outFinished true to eagerly finish the output stream to send data to the remote peer.

import okhttp3.internal.RecordingOkAuthenticator
import okhttp3.internal.USER_AGENT
import okhttp3.internal.addHeaderLenient
import okhttp3.internal.closeQuietly
import okhttp3.internal.http.HTTP_EARLY_HINTS
import okhttp3.internal.http.HTTP_PROCESSING
import okhttp3.internal.http.RecordingProxySelector
import okhttp3.java.net.cookiejar.JavaNetCookieJar
import okhttp3.okio.LoggingFilesystem
import okhttp3.testing.Flaky

- [`KT-24901`](https://youtrack.jetbrains.com/issue/KT-24901) No smart cast for `when` with early return
- [`KT-53086`](https://youtrack.jetbrains.com/issue/KT-53086) "Cannot access '<init>' before superclass constructor has been called" with inner class secondary constructor

    *   Keras-based LSTM models must be converted with an explicit batch size in
        the input layer.

## Bug Fixes and Other Changes

### TF Core:

*   Set `tf2_behavior` to 1 to enable V2 for early loading cases.
*   Add `execute_fn_for_device function` to dynamically choose the
    implementation based on underlying device placement.
*   Eager:
    *   Add `reduce_logsumexp` benchmark with experiment compile.

- Fixed: deleted a non-existent Azure disk issue. ([#107406](https://github.com/kubernetes/kubernetes/pull/107406), [@andyzhangx](https://github.com/andyzhangx))
- Fixed: do not return early in the node informer when there is no change of the topology label. ([#108149](https://github.com/kubernetes/kubernetes/pull/108149), [@nilo19](https://github.com/nilo19))

nodes with pods may see pods that fail due to node admission

1.22 addressed a long-standing issue in the Kubelet where terminating pods were [vulnerable to race conditions](https://github.com/kubernetes/kubernetes/pull/102344) leading to early shutdown, resource leaks, or long delays in actually completing pod shutdown. As a consequence of this change the Kubelet now correctly takes into account the resources of running and terminating pods when deciding to accept new pods, since terminating...

The focus of this release is **compatibility** with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then **performance** improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of **2x - 3x**. Which is not bad for just doing `pip install --upgrade fastapi pydantic`. This was not an official benchmark and I didn't check it myself, but it's...

- `ValidatingAdmissionPolicy` now preserves types of composition variables, and raises type-related errors early. ([#121001](https://github.com/kubernetes/kubernetes/pull/121001), [@jiahuif](https://github.com/jiahuif))