# limitations under the License.
#
# ==============================================================================
#
# Repacks libtensorflow tarballs into $DIR with provided $TARBALL_SUFFIX,
# and also repacks libtensorflow-src.jar into a standardized format.

# Helper function to copy a srcjar after moving any source files
# directly under the root to the "maven-style" src/main/java layout
#

  private TearDownStack stack = new TearDownStack();

  @Override
  protected void setUp() throws Exception {
    super.setUp();

    handler = new TestLogHandler();

    // You could also apply it higher up the Logger hierarchy than this
    ExampleClassUnderTest.logger.addHandler(handler);

    ExampleClassUnderTest.logger.setUseParentHandlers(false); // optional

    stack.addTearDown(

And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good learning experience** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇

You might want to try their courses:

Historically, Gradle has shipped with some Groovy types in very prominent APIs.
This required the Kotlin DSL to add special integration to work with Groovy closures.
This has also forced plugins written in languages other than Groovy to use Groovy types for some APIs.

When the Kotlin DSL was introduced, we made an effort to add non-Groovy equivalents for all APIs.

      requestBuilder.url("ftp://hostname/path")
    }.also { expected ->
      assertThat(expected.message).isEqualTo("Expected URL scheme 'http' or 'https' but was 'ftp'")
    }
  }

  @Test
  fun invalidPort() {
    val requestBuilder = Request.Builder()
    assertFailsWith<IllegalArgumentException> {
      requestBuilder.url("http://localhost:65536/")
    }.also { expected ->

Bevor ich also überhaupt angefangen habe, **FastAPI** zu schreiben, habe ich mehrere Monate damit verbracht, die Spezifikationen für OpenAPI, JSON Schema, OAuth2, usw. zu studieren und deren Beziehungen, Überschneidungen und Unterschiede zu verstehen.

## Design

Dann habe ich einige Zeit damit verbracht, die Entwickler-„API“ zu entwerfen, die ich als Benutzer haben wollte (als Entwickler, welcher FastAPI verwendet).

 *
 * Use [INSTANCE] for a task runner that uses daemon threads. There is not currently a shared
 * instance for non-daemon threads.
 *
 * 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.
 *

import jcifs.internal.SMBProtocolDecodingException;
import jcifs.internal.util.SMBUtil;


/**
 *
 */
public class FileFsSizeInformation implements AllocInfo {

    private long alloc; // Also handles SmbQueryFSSizeInfo
    private long free;
    private int sectPerAlloc;
    private int bytesPerSect;


    /**
     * {@inheritDoc}
     *

    @TaskAction
    fun generate() {
        ReproduciblePropertiesWriter.store(createProperties(), manifestFile.get().asFile)
    }

    private
    fun createProperties() = Properties().also { properties ->
        properties["runtime"] = runtime.get().joinToString(",")
        properties["projects"] = projects.get().joinToString(",")
        optionalProjects.get().takeIf { it.isNotEmpty() }?.let { optional ->

        .build()

    // Make a call expecting a timeout reading the response headers.
    val call1 = client.newCall(Request(server.url("/")))
    assertFailsWith<SocketTimeoutException> {
      call1.execute()
    }.also { expected ->
      assertThat(expected.message).isEqualTo("timeout")
    }

    // Confirm that a subsequent request on the same connection is not impacted.
    val call2 = client.newCall(Request(server.url("/")))