swap(array, from, to);
        }
        if (array[from + 1] > array[to]) {
          swap(array, from + 1, to);
        }
        if (array[from] > array[from + 1]) {
          swap(array, from, from + 1);
        }

        // Perform a partition with the selected median.
        int low = from + 1, high = to; // Indexes for partitioning.
        double partition = array[from + 1]; // Choose partitioning element.

          swap(array, from, to);
        }
        if (array[from + 1] > array[to]) {
          swap(array, from + 1, to);
        }
        if (array[from] > array[from + 1]) {
          swap(array, from, from + 1);
        }

        // Perform a partition with the selected median.
        int low = from + 1, high = to; // Indexes for partitioning.
        double partition = array[from + 1]; // Choose partitioning element.

    if (!v2_reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, v2_reader_->status());
      return;
    }
    auto result = BuildV2VarMaps();
    var_to_shape_map_.swap(result.first);
    var_to_data_type_map_.swap(result.second);
  } else {
    reader_.reset(new TensorSliceReader(filename));
    if (!reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, reader_->status());
      return;

    for (int i = to; i > from; i--) {
      if (array[i] > pivot) {
        swap(array, partitionPoint, i);
        partitionPoint--;
      }
    }

    // We now know that all elements with indexes in (from, partitionPoint] are less than or equal
    // to the pivot at from, and all elements with indexes in (partitionPoint, to] are greater than
    // it. We swap the pivot into partitionPoint and we know the array is partitioned around that.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. We still import `field` from standard `dataclasses`.

    //     [abc]de|[fgh] -> [fgh]de|[abc]. Now [fgh] is in the right place, but we need to swap [de]
    //     with [abc]: fgh[de]|a[bc] -> fgh[bc]|a[de]. Now we need to swap [a] with [bc]:
    //     fgh[b]c|[a]de -> fgh[a]c|[b]de. Finally we need to swap [c] with [b]:
    //     fgha[c]|[b]de -> fgha[b]|[c]de. Because these two blocks are the same size, we are done.

@import url(https://cdn.jsdelivr.net/npm/firacode@6.2.0/distr/fira_code.css);
/* Noto Color Emoji for emoji support with the same font everywhere */
@import url(https://fonts.googleapis.com/css2?family=Noto+Color+Emoji&display=swap);

/* Override default code font in Material for MkDocs to Fira Code */
:root {
    --md-code-font: "Fira Code", monospace, "Noto Color Emoji";
}

    return new Ordered<>(source, target);
  }

  /** Returns an {@link EndpointPair} representing the endpoints of an undirected edge. */
  public static <N> EndpointPair<N> unordered(N nodeU, N nodeV) {
    // Swap nodes on purpose to prevent callers from relying on the "ordering" of an unordered pair.
    return new Unordered<>(nodeV, nodeU);
  }

import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;
import org.jspecify.annotations.Nullable;

/**
 * Base class for tests for emulated {@link AbstractFuture} that allow subclasses to swap in a
 * different "source Future" for {@link AbstractFuture#setFuture} calls.
 */
@GwtCompatible
@NullUnmarked
abstract class AbstractAbstractFutureTest extends TestCase {

    }
  };

  /**
   * Models a lock-free array of bits.
   *
   * <p>We use this instead of java.util.BitSet because we need access to the array of longs and we
   * need compare-and-swap.
   */
  static final class LockFreeBitArray {
    private static final int LONG_ADDRESSABLE_BITS = 6;
    final AtomicLongArray data;
    private final LongAddable bitCount;

    LockFreeBitArray(long bits) {