import org.opensearch.action.ActionRequest;
import org.opensearch.action.ActionType;
import org.opensearch.action.admin.cluster.health.ClusterHealthResponse;
import org.opensearch.action.admin.indices.segments.IndicesSegmentResponse;
import org.opensearch.action.admin.indices.segments.PitSegmentsRequest;
import org.opensearch.action.bulk.BulkRequest;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.bulk.BulkResponse;

import org.opensearch.action.DocWriteResponse.Result;
import org.opensearch.action.admin.indices.create.CreateIndexResponse;
import org.opensearch.action.admin.indices.exists.indices.IndicesExistsResponse;
import org.opensearch.action.admin.indices.mapping.get.GetMappingsResponse;
import org.opensearch.action.admin.indices.refresh.RefreshResponse;
import org.opensearch.action.bulk.BulkItemResponse;

    /**
     * Method merge.
     *
     * @param target
     * @param indices
     * @param source
     * @return InputLocation
     */
    public static InputLocation merge(
            InputLocation target, InputLocation source, java.util.Collection<Integer> indices) {
        if (source == null) {
            return target;
        } else if (target == null) {

 * implementations, except when the table is sparse.
 *
 * <p>Null row keys or column keys are not permitted.
 *
 * <p>This class provides methods involving the underlying array structure, where the array indices
 * correspond to the position of a row or column in the lists of allowed keys and values. See the
 * {@link #at}, {@link #set}, {@link #toArray}, {@link #rowKeyList}, and {@link #columnKeyList}
 * methods for more details.
 *

    // (2) "Dolphin". If we're rotating an array a of size n by a distance of d, then element a[0]
    //     ends up at a[d], which in turn ends up at a[2d], and so on until we get back to a[0].
    //     (All indices taken mod n.) If d and n are mutually prime, all elements will have been
    //     moved at that point. Otherwise, we can rotate the cycle a[1], a[1 + d], a[1 + 2d], etc,

      this.a = a;
      this.b = b;
    }
  }

  /**
   * Returns a stream consisting of the results of applying the given function to the elements of
   * {@code stream} and their indices in the stream. For example,
   *
   * <pre>{@code
   * mapWithIndex(
   *     Stream.of("a", "b", "c"),
   *     (e, index) -> index + ":" + e)
   * }</pre>
   *

      this.a = a;
      this.b = b;
    }
  }

  /**
   * Returns a stream consisting of the results of applying the given function to the elements of
   * {@code stream} and their indices in the stream. For example,
   *
   * <pre>{@code
   * mapWithIndex(
   *     Stream.of("a", "b", "c"),
   *     (e, index) -> index + ":" + e)
   * }</pre>
   *

			// Only add etags if any.
			if fi.Parts[i].ETag != "" {
				ventry.ObjectV2.PartETags = make([]string, len(fi.Parts))
				break
			}
		}
		for i := range fi.Parts {
			// Only add indices if any.
			if len(fi.Parts[i].Index) > 0 {
				ventry.ObjectV2.PartIndices = make([][]byte, len(fi.Parts))
				break
			}
		}
		for i := range fi.Erasure.Distribution {

*   Added `index_to_string_table` which returns a lookup table that maps indices
    to strings.
*   Add `string_to_index_table`, which returns a lookup table that matches
    strings to indices.
*   Add a `ParallelForWithWorkerId` function.
*   Add `string_to_index_table`, which returns a lookup table that matches
    strings to indices.
*   Support restore session from checkpoint files in v2 in

    Ao ter o tipo como `int | None`, o SQLModel saberá que essa coluna deve ser um `INTEGER` no banco de dados SQL e que ela deve ser `NULLABLE`.

* `Field(index=True)` informa ao SQLModel que ele deve criar um **índice SQL** para essa coluna, o que permitirá buscas mais rápidas no banco de dados ao ler dados filtrados por essa coluna.