*
 * <p>Thread-safe operations are supported for registration and retrieval of data stores.
 * The factory caches data store names with a time-based refresh mechanism to improve
 * performance while ensuring up-to-date plugin discovery.</p>
 */
public class DataStoreFactory {
    /** Logger instance for this factory class. */
    private static final Logger logger = LogManager.getLogger(DataStoreFactory.class);

    /**

- JSON path expressions such as `FROM S3Object[*].path` are not yet evaluated.
- Large numbers (outside of the signed 64-bit range) are not yet supported.
- The Date [functions](https://docs.aws.amazon.com/AmazonS3/latest/dev/s3-glacier-select-sql-reference-date.html) `DATE_ADD`, `DATE_DIFF`, `EXTRACT` and `UTCNOW` along with type conversion using `CAST` to the `TIMESTAMP` data type are currently supported.

implementation of Go constitutes direct or contributory patent
infringement, or inducement of patent infringement, then any patent
rights granted to you under this License for this implementation of Go

  override fun writeTo(sink: BufferedSink) {
    writeOrCountBytes(sink, false)
  }

  /**
   * Either writes this request to [sink] or measures its content length. We have one method
   * do double-duty to make sure the counting and content are consistent, particularly when it comes
   * to awkward operations like measuring the encoded length of header strings, or the
   * length-in-digits of an encoded integer.
   */

    // it still should only have executed once due to memoization
    assertEquals(1, countingSupplier.calls);

    Thread.sleep(150);

    assertEquals(20, (int) memoizedSupplier.get());
    // old value expired
    assertEquals(2, countingSupplier.calls);

    assertEquals(20, (int) memoizedSupplier.get());
    // it still should only have executed twice due to memoization
    assertEquals(2, countingSupplier.calls);

   *
   * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It
   * is not guaranteed to return zero when the dataset consists of the same pair of values multiple
   * times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

    protected RequestManager getRequestManager() {
        return ComponentUtil.getRequestManager();
    }

    /**
     * Gets the current time as a Date object.
     *
     * @return The current time.
     */
    public Date getCurrentTime() {
        return new Date(getCurrentTimeAsLong());
    }

    /**
     * Gets the current time in milliseconds.
     *
     * @return The current time in milliseconds.

```Python
from datetime import date

from pydantic import BaseModel

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python

    protected final String allRecordCountRelation;

    /** The time taken to execute the search query in milliseconds. */
    protected final long queryTime;

    /** Flag indicating whether the search results are partial due to timeout or other constraints. */
    protected final boolean partialResults;

    /** The facet response containing aggregated facet information for the search results. */
    protected final FacetResponse facetResponse;

                return LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
            } catch (final DateTimeParseException e) {
                logger.debug("Invalid date format: {}", value, e);
            }
        }
        return DfTypeUtil.toLocalDateTime(value);
    }