void GetTensor(const string& name,
                 std::unique_ptr<tensorflow::Tensor>* out_tensor,
                 TF_Status* out_status) const;

 private:
  // Uses "v2_reader_" to build "var name -> shape" and "var name -> data type"
  // maps; both owned by caller.
  // REQUIRES: "v2_reader_ != nullptr && v2_reader_.status().ok()".
  std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>,

    /**
     * Should upgrade plugins known to fail with Maven 4 to their minimum compatible versions.
     * This includes upgrading plugins like maven-exec-plugin, maven-enforcer-plugin,
     * flatten-maven-plugin, and maven-shade-plugin to versions that work with Maven 4.
     *
     * @return an {@link Optional} containing the boolean value {@code true} if specified, or empty
     */
    @Nonnull
    Optional<Boolean> plugins();

    /**

    reproduce the issue description: Provide a reproducible test case that is
    the bare minimum necessary to generate the problem. If possible, please
    share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you
    see! value: render: shell validations: required: true

-   type: textarea id: logs attributes: label: Relevant log output description:

ADRs can be written by any team.
Like code, they should be reviewed by any other relevant teams.
The goal is not to *own* a decision, but to *share* it with other teams, and improve the build tool together.

### Format

The format for ADR should follow this template:

```markdown
# ADR-000X - Title

## Date

20YY-MM-DD

## Context

        }

        /*
         * Subtract the server and share from the pathConsumed so that
         * it reflects the part of the relative path consumed and not
         * the entire path.
         */

        DfsReferralDataInternal next = dri;
        do {
            next.stripPathConsumed(1 + server.length() + 1 + share.length());
            next = next.next();
        } while (next != dri);

 * "https://github.com/google/guava/wiki/NewCollectionTypesExplained#classtoinstancemap">{@code
 * ClassToInstanceMap}</a>.
 *
 * @param <B> the common supertype that all values will share. When in doubt, just use {@link
 *     Object}, or use {@code @Nullable Object} to allow null values.
 * @since 2.0
 */
@DoNotMock("Use ImmutableClassToInstanceMap or MutableClassToInstanceMap")
@GwtCompatible

inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference
functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)
are skipped, and any checks implemented inside the shape inference code are not
executed.

The security impact of skipping those checks should be low, since the attack

        .signedBy(pinnedRoot)
        .build()
    val attackerSwitch =
      HeldCertificate
        .Builder()
        .serialNumber(5L)
        .keyPair(attackerIntermediate.keyPair) // share keys between compromised CA and leaf!
        .commonName("attacker")
        .addSubjectAlternativeName("attacker.com")
        .signedBy(pinnedIntermediate)
        .build()
    val phonyVictim =

    id: code-to-reproduce
    attributes:
      label: Standalone code to reproduce the issue
      description: Provide a reproducible test case that is the bare minimum necessary to generate the problem. Please share a link to Colab, Jupyter, or any notebook.
      placeholder: Tell us what you see!
      value:
      render: shell
    validations:
      required: true
  - type: textarea
    id: logs
    attributes:

        // Validates simple property delegation to the connection
        when(treeConnection.getTreeType()).thenReturn(7);
        when(treeConnection.getConnectedShare()).thenReturn("SHARE");
        assertEquals(7, handle.getTreeType());
        assertEquals("SHARE", handle.getConnectedShare());
        verify(treeConnection).getTreeType();
        verify(treeConnection).getConnectedShare();
    }

    @Test