import org.jline.reader.impl.history.DefaultHistory;
import org.jline.terminal.Terminal;
import org.jline.utils.AttributedStringBuilder;
import org.jline.utils.AttributedStyle;
import org.jline.utils.InfoCmp;
import org.jline.widget.TailTipWidgets;

/**
 * mvnsh invoker implementation.
 */
public class ShellInvoker extends LookupInvoker<LookupContext> {

affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In this algorithm, we also make...

 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

package jcifs.smb1.smb1;

interface Info {
    int getAttributes();

    long getCreateTime();

    long getLastWriteTime();

    long getSize();

 */
@NullUnmarked
public class LoadingCacheSingleThreadBenchmark {
  @Param({"1000", "2000"})
  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

   *       {@link Object#equals(Object)}.
   *   <li>{@code false} in all other situations.
   * </ul>
   *
   * <p>This assumes that any non-null objects passed to this function conform to the {@code
   * equals()} contract.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated; use {@link
   * java.util.Objects#equals} instead.
   */

  // to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.
  private static long randomDivisor(long dividend) {
    long r = randomSource.nextLong();
    if (dividend == -1) {
      return r;

## Status

ACCEPTED

## Consequences

### Positive Consequences

* **Improved consistency**: The codebase has a uniform language standard
* **Easier onboarding**: New contributors have clear guidance on which spelling to use
* **Better searchability**: Finding code and documentation becomes more predictable

* virtual environment: виртуальное окружение
* framework: фреймворк
* path paremeter: path-параметр
* path (as in URL path): путь
* form (as in HTML form): форма
* media type: тип содержимого (or `медиа-тип`)
* request: HTTP-запрос
* response: HTTP-ответ
* type hints: аннотации типов
* type annotations: аннотации типов
* context manager: менеджер контекста

FORM...

     * Saves the modified documents to disk using domtrip's perfect formatting preservation.
     */
    protected void saveModifications(UpgradeContext context, Map<Path, Document> pomMap) {
        context.info("");
        context.info("Saving modified POMs...");

        for (Map.Entry<Path, Document> entry : pomMap.entrySet()) {
            Path pomPath = entry.getKey();
            Document document = entry.getValue();