Mais avant ça, gérer du code asynchrone était bien plus complexe et difficile.

Dans les versions précédentes de Python, vous auriez utilisé des *threads* ou <a href="https://www.gevent.org/" class="external-link" target="_blank">Gevent</a>.  Mais le code aurait été bien plus difficile à comprendre, débugger, et concevoir.

    public int hashCode() {
      return slowItDown() + hash;
    }

    @Override
    public int compareTo(Element e) {
      int x = slowItDown();
      return x + super.compareTo(e) - x; // silly attempt to prevent opt
    }

    static int slowItDown() {
      int result = 0;
      for (int i = 1; i <= 1000; i++) {
        result += i;
      }
      return result;
    }
  }

Adding an offset to the name refers to that offset from the symbol's address, so
<code>foo+4(SB)</code> is four bytes past the start of <code>foo</code>.
</p>

<p>
The <code>FP</code> pseudo-register is a virtual frame pointer
used to refer to function arguments.
The compilers maintain a virtual frame pointer and refer to the arguments on the stack as offsets from that pseudo-register.

/**
 * Utility class for Base64 encoding and decoding operations.
 * Provides methods to convert between binary data and Base64 encoded strings.
 */
public class Base64 {

    /**
     * Private constructor to prevent instantiation of this utility class.
     */
    private Base64() {
        // Utility class - not instantiable
    }

            return this.isExists;
        }

        // Fast path for already resolved existence with recent cache
        if (this.isExists && (currentTime - (this.attrExpiration - getContext().getConfig().getAttributeCacheTimeout())) < 5000) {
            log.trace("Using recent positive existence cache");
            return true;
        }

        this.attributes = ATTR_READONLY | ATTR_DIRECTORY;

       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable.
       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).

import org.codelibs.fess.util.ComponentUtil;

/**
 * Job for purging expired thumbnail files from the system.
 * This job removes thumbnail files that have exceeded their configured expiration time
 * to prevent disk space from being consumed by old thumbnails.
 */
public class PurgeThumbnailJob {
    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(PurgeThumbnailJob.class);

[Using boto3](https://github.com/minio/minio/blob/master/docs/extensions/s3zip/examples/boto3/main.py)

## Requirements and limits

- ListObjectsV2 can only list the most recent ZIP archive version of your object, applicable only for versioned buckets.
- ListObjectsV2 API calls must be used to list zip file content.
- Range requests for GetObject/HeadObject for individual files from zip is not supported.

  // 'main'. Work around this by creating a 'main' source set that forwards to 'jvmMain'.
  //
  // The forwarding SourceSet also needs to fake out some task names to prevent them from being
  // registered twice.
  //
  // https://github.com/bndtools/bnd/issues/6590
  val jvmMainSourceSet = sourceSets.getByName("jvmMain")
  val mainSourceSet =
    object : SourceSet by jvmMainSourceSet {

  }

  /**
   * Reverses the elements of {@code array}. This is equivalent to {@code
   * Collections.reverse(Booleans.asList(array))}, but is likely to be more efficient.
   *
   * @since 23.1
   */
  public static void reverse(boolean[] array) {
    checkNotNull(array);
    reverse(array, 0, array.length);
  }

  /**