MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform.

import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicReference;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * @author Charles Fry
 */
@NullUnmarked
public class LocalLoadingCacheTest extends TestCase {

  private static <K, V> LocalLoadingCache<K, V> makeCache(
      CacheBuilder<K, V> builder, CacheLoader<? super K, V> loader) {

import java.util.concurrent.atomic.AtomicInteger;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Unit tests for {@link CacheLoader}.
 *
 * @author Charles Fry
 */
@NullUnmarked
public class CacheLoaderTest extends TestCase {

  private static class QueuingExecutor implements Executor {
    private final Deque<Runnable> tasks = new ArrayDeque<>();

    @Override

        // Session starts with usage count > 0
        assertTrue(session.isInUse(), "Session should be in use initially");

        // Create and release trees
        SmbTreeImpl tree = session.getSmbTree("share1", null);
        assertNotNull(tree, "Tree should be created");
        tree.release();

        // Release the session (back to initial state)
        session.release();

import java.util.Random;
import java.util.concurrent.atomic.AtomicLong;
import org.jspecify.annotations.NullUnmarked;

/**
 * Single-threaded benchmark for {@link LoadingCache}.
 *
 * @author Charles Fry
 */
@NullUnmarked
public class LoadingCacheSingleThreadBenchmark {
  @Param({"1000", "2000"})
  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

    </dependencySet>
  </dependencySets>
  <fileSets>
    <fileSet>
      <includes>
        <include>README*</include>
      </includes>
    </fileSet>
    <fileSet>
      <directory>target/maven-shared-archive-resources/META-INF</directory>
      <outputDirectory>./</outputDirectory>
      <includes>
        <include>LICENSE</include>
        <include>NOTICE</include>
      </includes>
    </fileSet>
    <fileSet>

    void testGetSmbResourceWithVariousURLs() throws CIFSException {
        // Test different valid URL formats
        String[] validUrls = { "smb://server/share/", "smb://server/share/file.txt", "smb://user:pass@server/share/file.txt",
                "smb://domain;user:pass@server/share/file.txt" };

        for (String url : validUrls) {
            // When
            SmbResource resource = context.get(url);

            // Then

// --------------------------------------------------------------------------
// The new graph construction API, still under development.

// Represents a computation graph.  Graphs may be shared between sessions.
// Graphs are thread-safe when used as directed below.
typedef struct TF_Graph TF_Graph;

// Return a new graph object.
TF_CAPI_EXPORT extern TF_Graph* TF_NewGraph(void);

            }
            return resp.getAvailable();
        } catch (final SmbException se) {
            throw seToIoe(se);
        }
    }

    @Override
    public void close() {
        // ignore, the shared file descriptor is closed by the pipe handle
    }

{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

#### Sobre `**user_dict`

`UserInDB(**user_dict)` significa:

*Passe as keys (chaves) e values (valores) de `user_dict` diretamente como argumentos de valor-chave, equivalente a:*

```Python
UserInDB(
    username = user_dict["username"],
    email = user_dict["email"],