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;

      }
    },
    ALMOST_SORTED {
      @Override
      void arrange(List<Integer> list) {
        sort(list);
        if (list.size() > 1) {
          int i = (list.size() - 1) / 2;
          Collections.swap(list, i, i + 1);
        }
      }
    },
    RANDOM {
      @Override
      void arrange(List<Integer> list) {}
    };

    abstract void arrange(List<Integer> list);
  }

      }
    },
    ALMOST_SORTED {
      @Override
      void arrange(List<Integer> list) {
        sort(list);
        if (list.size() > 1) {
          int i = (list.size() - 1) / 2;
          Collections.swap(list, i, i + 1);
        }
      }
    },
    RANDOM {
      @Override
      void arrange(List<Integer> list) {}
    };

    abstract void arrange(List<Integer> list);
  }

      if (comparator.compare(uncheckedCastNullableTToT(buffer[i]), pivotValue) < 0) {
        swap(pivotNewIndex, i);
        pivotNewIndex++;
      }
    }
    buffer[right] = buffer[pivotNewIndex];
    buffer[pivotNewIndex] = pivotValue;
    return pivotNewIndex;
  }

  private void swap(int i, int j) {
    T tmp = buffer[i];
    buffer[i] = buffer[j];
    buffer[j] = tmp;
  }

    //     [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.

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.py hl[1,5,8:11,14:17,23:25,28] *}

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

      RunnableExecutorPair(Runnable runnable, Executor executor) {
        this.runnable = runnable;
        this.executor = executor;
      }
    }
  }

  // A version of the list that uses compare and swap to manage the stack without locks.
  @SuppressWarnings({"SunApi", "removal"}) // b/345822163
  private static final class ExecutionListCAS {
    static final Logger log = Logger.getLogger(ExecutionListCAS.class.getName());

import java.util.concurrent.TimeoutException;
import junit.framework.TestCase;
import org.checkerframework.checker.nullness.qual.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(emulated = true)
abstract class AbstractAbstractFutureTest extends TestCase {
  private TestedFuture<Integer> future;

    int i = 0;
    for (Object element : elements) {
      array[i++] = element;
    }
    return array;
  }

  /** Swaps {@code array[i]} with {@code array[j]}. */
  static void swap(Object[] array, int i, int j) {
    Object temp = array[i];
    array[i] = array[j];
    array[j] = temp;
  }

  @CanIgnoreReturnValue

    int i = 0;
    for (Object element : elements) {
      array[i++] = element;
    }
    return array;
  }

  /** Swaps {@code array[i]} with {@code array[j]}. */
  static void swap(Object[] array, int i, int j) {
    Object temp = array[i];
    array[i] = array[j];
    array[j] = temp;
  }

  @CanIgnoreReturnValue