path = tmp_path / "test.txt"
    path.write_bytes(b"<file content>")
    path2 = tmp_path / "test2.txt"
    path2.write_bytes(b"<file content2>")

    client = TestClient(app)
    with path.open("rb") as file, path2.open("rb") as file2:
        response = client.post(
            "/files/",
            files=(
                ("files", ("test.txt", file)),
                ("files", ("test2.txt", file2)),
            ),

     */

    static final int FILE_SUPERSEDE = 0x0;

    /* Open the file or fail if it does not exist
     * aka OPEN_EXISTING
     */

    static final int FILE_OPEN = 0x1;

    /* Create the file or fail if it does not exist
     * aka CREATE_NEW
     */

    static final int FILE_CREATE = 0x2;

    /* Open the file or create it if it does not exist
     * aka OPEN_ALWAYS
     */

            this.throwOnCloseInternal = true;
            return this;
        }

        @Override
        protected FileEntry open() throws CIFSException {
            if (staticThrowOnOpen)
                throw new CIFSException("open fail");
            // Simulate fetching first page during open
            if (staticPages != null && !staticPages.isEmpty()) {
                pageIdx = 0;
            }

import java.net.InetAddress
import java.net.Socket
import javax.net.SocketFactory

/**
 * A [SocketFactory] that delegates calls. Sockets can be configured after creation by
 * overriding [.configureSocket].
 */
open class DelegatingSocketFactory(
  private val delegate: SocketFactory,
) : SocketFactory() {
  @Throws(IOException::class)
  override fun createSocket(): Socket {
    val socket = delegate.createSocket()

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

### Windows

We are advancing support for Windows Server and Windows Server Containers to beta along with continued feature and functional advancements on both the Kubernetes and Windows platforms. This opens the door for many Windows-specific applications and workloads to run on Kubernetes, significantly expanding the implementation scenarios and the enterprise reach of Kubernetes.

## Before Upgrading

  fun enqueueCancel() {
    cancel = true
  }

  override fun onOpen(
    eventSource: EventSource,
    response: Response,
  ) {
    get().log("[ES] onOpen", Platform.INFO, null)
    events.add(Open(eventSource, response))
    drainCancelQueue(eventSource)
  }

  override fun onEvent(
    eventSource: EventSource,
    id: String?,
    type: String?,
    data: String,
  ) {

		log.Fatal(err)
	}
}

func ExampleReader() {
	// Open a zip archive for reading.
	r, err := zip.OpenReader("testdata/readme.zip")
	if err != nil {
		log.Fatal(err)
	}
	defer r.Close()

	// Iterate through the files in the archive,
	// printing some of their contents.
	for _, f := range r.File {
		fmt.Printf("Contents of %s:\n", f.Name)
		rc, err := f.Open()
		if err != nil {
			log.Fatal(err)
		}

from fastapi.testclient import TestClient


class Session:
    def __init__(self) -> None:
        self.data = ["foo", "bar", "baz"]
        self.open = True

    def __iter__(self) -> Generator[str, None, None]:
        for item in self.data:
            if self.open:
                yield item
            else:
                raise ValueError("Session closed")


@contextmanager

    }

    @Override
    BoundType typeAsUpperBound() {
      return BoundType.OPEN;
    }

    @Override
    Cut<C> withLowerBoundType(BoundType boundType, DiscreteDomain<C> domain) {
      switch (boundType) {
        case CLOSED:
          return this;
        case OPEN:
          C previous = domain.previous(endpoint);