There are some additional dependencies you might want to install.

Additional optional Pydantic dependencies:

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - for settings management.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - for extra types to be used with Pydantic.

* Seriously impressive performance. It is <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">one of the fastest Python frameworks available, on par with **NodeJS** and **Go**</a>.
* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.

It was found that the directory staging committer was the fastest among the three, S3A connector should be configured with the following parameters for optimal results:

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "s3a"

fs.s3a.access.key=minio

It clearly inspired Uvicorn and Starlette, that are currently faster than Sanic in open benchmarks.

///

/// check | Inspired **FastAPI** to

Find a way to have a crazy performance.

That's why **FastAPI** is based on Starlette, as it is the fastest framework available (tested by third-party benchmarks).

///

There are some additional dependencies you might want to install.

Additional optional Pydantic dependencies:

* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - for settings management.
* <a href="https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/" target="_blank"><code>pydantic-extra-types</code></a> - for extra types to be used with Pydantic.

   * previously configured separator between each.
   */
  public String join(Iterable<?> parts) {
    /*
     * If we can quickly determine how many elements there are likely to be, then we can use the
     * fastest possible implementation, which delegates to the array overload of String.join.
     *
     * In theory, we can quickly determine the size of any Collection. However, thanks to

1) For relative URLs, only translate link text. Do not translate the URL or its parts

Example:

    Source (English):

        «««
        [One of the fastest Python frameworks available](#performance)
        »»»

    Result (German):

        «««
        [Eines der schnellsten verfügbaren Python-Frameworks](#performance)
        »»»

/**
 * Base test class providing common test infrastructure and utilities.
 * All test classes should extend this to ensure consistent test setup.
 */
@ExtendWith(MockitoExtension.class)
public abstract class BaseTest {

    protected final Logger logger = LoggerFactory.getLogger(getClass());

    @BeforeEach
    void baseSetUp() {
        // Common setup for all tests

package okhttp3.internal

import assertk.assertThat
import assertk.assertions.isEqualTo
import assertk.assertions.isNull
import java.util.concurrent.atomic.AtomicReference
import org.junit.jupiter.api.Test

class TagsTest {
  @Test
  fun emptyTags() {
    val tags = EmptyTags
    assertThat(tags[String::class]).isNull()
  }

  @Test
  fun singleElement() {
    val tags = EmptyTags.plus(String::class, "hello")

import jcifs.smb1.Config;
import jcifs.smb1.UniAddress;
import jcifs.smb1.util.LogStream;

@ExtendWith(MockitoExtension.class)
@MockitoSettings(strictness = Strictness.LENIENT)
class DfsTest {

    @Mock
    private NtlmPasswordAuthentication auth;

    @Mock
    private SmbTransport smbTransport;

    @Mock
    private UniAddress uniAddress;

    @Mock