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;

    /**
     * Data transfer object representing OS swap space statistics.
     */
    public static class OsMemorySwapSpaceObj {
        /**
         * Default constructor.
         */
        public OsMemorySwapSpaceObj() {
            // Default constructor
        }

        /** Free swap space in bytes. */
        public long free;
        /** Total swap space in bytes. */
        public long total;
    }

    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.

      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;
  }

  /*

      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;
  }

  /*

      // We must switch the old buffer to read mode to extract data
      Java8Compatibility.flip(buffer);

      newBuffer.put(buffer);

      // Swap references, newBuffer is already in write mode at the correct position
      this.buffer = newBuffer;
    }

    @Override
    public Hasher putByte(byte b) {
      ensureCapacity(Byte.BYTES);

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.