public void testImmutableEntrySerialization() {
    Cell<String, Integer, Character> entry = Tables.immutableCell("foo", 1, 'a');
    SerializableTester.reserializeAndAssert(entry);
  }

  public void testImmutableEntryToString() {
    Cell<String, Integer, Character> entry = Tables.immutableCell("foo", 1, 'a');
    assertEquals("(foo,1)=a", entry.toString());

    Cell<@Nullable String, @Nullable Integer, @Nullable Character> nullEntry =

  public LongAdder() {}

  /**
   * Adds the given value.
   *
   * @param x the value to add
   */
  @Override
  public void add(long x) {
    Cell[] as;
    long b, v;
    int[] hc;
    Cell a;
    int n;
    if ((as = cells) != null || !casBase(b = base, b + x)) {
      boolean uncontended = true;
      if ((hc = threadHashCode.get()) == null
          || as == null
          || (n = as.length) < 1

    for (Table.Cell<? extends R, ? extends C, ? extends V> cell : table.cellSet()) {
      put(cell.getRowKey(), cell.getColumnKey(), cell.getValue());
    }
  }

  @LazyInit @CheckForNull private transient Set<Cell<R, C, V>> cellSet;

  @Override
  public Set<Cell<R, C, V>> cellSet() {
    Set<Cell<R, C, V>> result = cellSet;

_current_module.__path__ = [_module_dir] + _current_module.__path__

_current_module.nn.rnn_cell = _KerasLazyLoader(
    globals(),
    submodule="__internal__.legacy.rnn_cell",
    name="rnn_cell",
    mode="v1")
if _tf_uses_legacy_keras:
  _module_dir = _module_util.get_parent_dir_for_name(
      "tf_keras.api._v1.keras.__internal__.legacy.rnn_cell")
else:
  _module_dir = _module_util.get_parent_dir_for_name(

    this.singleRowKey = checkNotNull(rowKey);
    this.singleColumnKey = checkNotNull(columnKey);
    this.singleValue = checkNotNull(value);
  }

  SingletonImmutableTable(Cell<R, C, V> cell) {
    this(cell.getRowKey(), cell.getColumnKey(), cell.getValue());
  }

  @Override
  public ImmutableMap<R, V> column(C columnKey) {
    checkNotNull(columnKey);
    return containsColumn(columnKey)

};

struct TFE_MonitoringIntGaugeCell {
  tensorflow::monitoring::GaugeCell<int64_t> cell;
};
struct TFE_MonitoringStringGaugeCell {
  tensorflow::monitoring::GaugeCell<tensorflow::string> cell;
};
struct TFE_MonitoringBoolGaugeCell {
  tensorflow::monitoring::GaugeCell<bool> cell;
};

template <typename ValueType, int NumLabels>
struct TFE_MonitoringGauge {
  template <typename... LabelDesc>

#define TENSORFLOW_C_EAGER_C_API_EXPERIMENTAL_READER_H_

#include "tensorflow/c/eager/c_api.h"

#ifdef __cplusplus
extern "C" {
#endif

// Test only exports of the monitoring Cell Reader API which allows tests to
// read current values from streamz counters defined in other modules.
//
// The code under test will have created streamz counters like this:

        "<dl><dt>term<dd>item<dt>term<dt>term"    | "<dl><dt>term</dt><dd>item</dd><dt>term</dt><dt>term</dt></dl>"
        "<table><tr><th>cell<tr><td>cell<td>cell" | "<table><tr><th>cell</th></tr><tr><td>cell</td><td>cell</td></tr></table>"
        "<ul><li><ul><li>text<li>text"            | "<ul><li><ul><li>text</li><li>text</li></ul></li></ul>"
    }

    def "splits para on block content"() {

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.Table.Cell;

/**
 * @author Gregory Kick
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public class RegularImmutableTableTest extends AbstractImmutableTableTest {
  private static final ImmutableSet<Cell<Character, Integer, String>> CELLS =
      ImmutableSet.of(
          Tables.immutableCell('a', 1, "foo"),

#ifndef TENSORFLOW_C_EAGER_TFE_MONITORING_READER_INTERNAL_H_
#define TENSORFLOW_C_EAGER_TFE_MONITORING_READER_INTERNAL_H_

#include <memory>

#include "tensorflow/core/lib/monitoring/cell_reader.h"

struct TFE_MonitoringCounterReader {
  explicit TFE_MonitoringCounterReader(const char* name) {
    counter = std::make_unique<
        ::tensorflow::monitoring::testing::CellReader<int64_t>>(name);
  }