return ImmutableMap.<R, Map<C, V>>copyOf(rowMap);
  }

  @Override
  public int size() {
    return cellRowIndices.length;
  }

  @Override
  Cell<R, C, V> getCell(int index) {
    int rowIndex = cellRowIndices[index];
    Entry<R, ImmutableMap<C, V>> rowEntry = rowMap.entrySet().asList().get(rowIndex);
    ImmutableMap<C, V> row = rowEntry.getValue();

  }

  void runOnOperation() override;
};

static void IncrementCounterFor(tensorflow::monitoring::Counter<1>* counter,
                                Operation* op) {
  counter->GetCell(op->getName().getStringRef().str())->IncrementBy(1);
}

bool HasBounds(RankedTensorType type) {
  auto encoding = mlir::dyn_cast_or_null<mlir::mhlo::TypeExtensionsAttr>(
      type.getEncoding());

    return ImmutableMap.<R, Map<C, V>>copyOf(rowMap);
  }

  @Override
  public int size() {
    return cellRowIndices.length;
  }

  @Override
  Cell<R, C, V> getCell(int index) {
    int rowIndex = cellRowIndices[index];
    Entry<R, ImmutableMap<C, V>> rowEntry = rowMap.entrySet().asList().get(rowIndex);
    ImmutableMap<C, V> row = rowEntry.getValue();

        disable_set_input_nodes_quantization_params_;
  }

  if (quant_specs_.post_training_quantization) {
    tflite_quantizer_usage_stats->GetCell("post_training")->IncrementBy(1);
    RemoveRedundantStats(func);
  } else {
    tflite_quantizer_usage_stats->GetCell("during_training")->IncrementBy(1);
    // Set the quantization parameters for the quantizable input nodes. If this

            const char* get_hello();
            #define PREFIX get_hello()
        """

        def sourceFile = file("app/src/main/cpp/hello.cpp")
        sourceFile.text = """
            #include <iostream>
            #include "../not_included/hello.h"

            const char* get_hello() {
                return "Hi";
            }
        """

        return getCell(index);
      }
    };
  }

  @Override
  Spliterator<Cell<R, C, @Nullable V>> cellSpliterator() {
    return CollectSpliterators.<Cell<R, C, @Nullable V>>indexed(
        size(), Spliterator.ORDERED | Spliterator.NONNULL | Spliterator.DISTINCT, this::getCell);
  }

  private Cell<R, C, @Nullable V> getCell(final int index) {

  }

  @Override
  public int size() {
    return cellRowIndices.length;
  }

  @Override
  Cell<R, C, V> getCell(int index) {
    int rowIndex = cellRowIndices[index];
    int columnIndex = cellColumnIndices[index];
    R rowKey = rowKeySet().asList().get(rowIndex);
    C columnKey = columnKeySet().asList().get(columnIndex);

  }

  @Override
  public int size() {
    return cellRowIndices.length;
  }

  @Override
  Cell<R, C, V> getCell(int index) {
    int rowIndex = cellRowIndices[index];
    int columnIndex = cellColumnIndices[index];
    R rowKey = rowKeySet().asList().get(rowIndex);
    C columnKey = columnKeySet().asList().get(columnIndex);

        return failure();
    }
    rewriter.replaceOp(op, rewriter.create(state)->getResults());

    // TODO: b/290366702 - Temporarily added metrics for debugging.
    mlir_tf_quant_op_count->GetCell(std::string(op->getName().getStringRef()))
        ->IncrementBy(1);
    return success();
  }
};

// This pattern adds qint <-> int Cast to all qint operands and results for UQ
// ops.

    return new AbstractIndexedListIterator<Cell<R, C, @Nullable V>>(size()) {
      @Override
      protected Cell<R, C, @Nullable V> get(final int index) {
        return getCell(index);
      }
    };
  }

  private Cell<R, C, @Nullable V> getCell(final int index) {
    return new Tables.AbstractCell<R, C, @Nullable V>() {
      final int rowIndex = index / columnList.size();