Table<String, Integer, Character> transpose = transpose(original);
    original.put(1, "foo", 'a');
    assertSame(original.columnKeySet(), transpose.rowKeySet());
    assertSame(original.rowKeySet(), transpose.columnKeySet());
    assertSame(original.columnMap(), transpose.rowMap());
    assertSame(original.rowMap(), transpose.columnMap());
    assertSame(original.values(), transpose.values());

    expectedTranspose.addEdge(N4, N3, E34);

    Network<Integer, String> transpose = transpose(directedGraph);
    assertThat(transpose).isEqualTo(expectedTranspose);
    assertThat(transpose(transpose)).isSameInstanceAs(directedGraph);
    AbstractNetworkTest.validateNetwork(transpose);

    assertThat(transpose.edgesConnecting(N1, N2)).isEmpty();
    assertThat(transpose.edgeConnecting(N1, N2).isPresent()).isFalse();

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Tables.transpose;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.TableCollectionTest.ColumnTests;

@GwtCompatible
@ElementTypesAreNonnullByDefault

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Tables.transpose;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.TableCollectionTest.ColumnTests;

@GwtCompatible
@ElementTypesAreNonnullByDefault

   * instance, {@code rowKeySet().iterator()} supports {@code remove()} but {@code
   * columnKeySet().iterator()} doesn't. With a transposed {@link HashBasedTable}, it's the other
   * way around.
   */
  public static <R extends @Nullable Object, C extends @Nullable Object, V extends @Nullable Object>
      Table<C, R, V> transpose(Table<R, C, V> table) {
    return (table instanceof TransposeTable)
        ? ((TransposeTable<R, C, V>) table).original

import static com.google.common.collect.Tables.immutableCell;
import static com.google.common.collect.Tables.transformValues;
import static com.google.common.collect.Tables.transpose;
import static com.google.common.collect.Tables.unmodifiableRowSortedTable;
import static com.google.common.collect.Tables.unmodifiableTable;
import static java.util.Collections.sort;

import static com.google.common.collect.Tables.immutableCell;
import static com.google.common.collect.Tables.transformValues;
import static com.google.common.collect.Tables.transpose;
import static com.google.common.collect.Tables.unmodifiableRowSortedTable;
import static com.google.common.collect.Tables.unmodifiableTable;
import static java.util.Collections.sort;

*  Support for Python 3.7 has been removed. We are not releasing any more patches for Python 3.7.

*   `tf.lite`:

    *   Add 16-bit float type support for built-in op `fill`.
    *   Transpose now supports 6D tensors.
    *   Float LSTM now supports diagonal recurrent tensors: https://arxiv.org/abs/1903.08023

*   `tf.experimental.dtensor`:

		closestCommands = append(closestCommands, commandsTree.PrefixMatch(command)...)

		sort.Strings(closestCommands)
		// Suggest other close commands - allow missed, wrongly added and
		// even transposed characters
		for _, value := range commandsTree.Walk(commandsTree.Root()) {
			if sort.SearchStrings(closestCommands, value) < len(closestCommands) {
				continue
			}
			// 2 is arbitrary and represents the max

TF_CAPI_EXPORT extern int TFE_TensorDebugInfoOnDeviceNumDims(
    TFE_TensorDebugInfo* debug_info);

// Returns the number of elements in dimension `dim_index`.
// Tensor representation on device can be transposed from its representation
// on host. The data contained in dimension `dim_index` on device
// can correspond to the data contained in another dimension in on-host