override fun addTaskExecutionGraphListener(listener: TaskExecutionGraphListener) {
        delegate.addTaskExecutionGraphListener(listener.wrap())
    }

    override fun removeTaskExecutionGraphListener(listener: TaskExecutionGraphListener) {
        delegate.removeTaskExecutionGraphListener(listener.wrap())
    }

    override fun whenReady(closure: Closure<*>) {

		if err != nil {
			return "", errors.Wrap(err, "failed to parse CA certificate from kubeconfig")
		}
	} else if clusterConfig.CertificateAuthority != "" {
		caCerts, err = clientcertutil.CertsFromFile(clusterConfig.CertificateAuthority)
		if err != nil {
			return "", errors.Wrap(err, "failed to load CA certificate referenced by kubeconfig")
		}
	} else {

                return wrap(delegate);
              }
            });
  }

  public void testEquals() {
    NavigableSet<String> set1 = ImmutableSortedSet.of("one");
    NavigableSet<String> set2 = ImmutableSortedSet.of("two");
    new EqualsTester()
        .addEqualityGroup(set1, wrap(set1), wrap(set1))
        .addEqualityGroup(set2, wrap(set2))
        .testEquals();
  }

// type. If cap is not -1, this is for an array of cap elements of type t.
func (s *mspan) userArenaNextFree(typ *_type, cap int) unsafe.Pointer {
	size := typ.Size_
	if cap > 0 {
		if size > ^uintptr(0)/uintptr(cap) {
			// Overflow.
			throw("out of memory")
		}
		size *= uintptr(cap)
	}
	if size == 0 || cap == 0 {
		return unsafe.Pointer(&zerobase)
	}

		return nil, errors.Wrap(err, "failed to decode cluster configuration data")
	}

	if !skipComponentConfigs {
		// get the component configs from the corresponding config maps
		if err := componentconfigs.FetchFromCluster(&initcfg.ClusterConfiguration, client); err != nil {
			return nil, errors.Wrap(err, "failed to get component configs")
		}
	}

            tensorflow::unwrap(ctx)),
        &saved_model);
    result = std::move(saved_model);
  }

  if (!status->status.ok()) {
    return nullptr;
  }
  return tensorflow::wrap(result.release());
}

TF_SavedModel* TF_LoadSavedModelWithTags(const char* dirname, TFE_Context* ctx,
                                         const char* const* tags, int tags_len,

For that, you can use the `WSGIMiddleware` and use it to wrap your WSGI application, for example, Flask, Django, etc.

## Using `WSGIMiddleware`

You need to import `WSGIMiddleware`.

Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

```Python hl_lines="2-3  23"

    assertThat(Primitives.isWrapperType(void.class)).isFalse();
  }

  public void testWrap() {
    assertThat(Primitives.wrap(int.class)).isSameInstanceAs(Integer.class);
    assertThat(Primitives.wrap(Integer.class)).isSameInstanceAs(Integer.class);
    assertThat(Primitives.wrap(String.class)).isSameInstanceAs(String.class);
  }

  public void testUnwrap() {

        return wrap(repo, new DeletedArtifact(dummyFile))
    }

    private static RepositoryAwareVerificationFailure missingSignature(String repo = "Maven") {
        return wrap(repo, new MissingSignature(dummyFile))
    }

    private static RepositoryAwareVerificationFailure onlyIgnoredKeys(String repo = "Maven") {
        return wrap(repo, new OnlyIgnoredKeys(dummyFile))
    }

	target := &Allocator{}
	initialSize := 1000000 // 1MB
	initialBuff := target.Allocate(uint64(initialSize))
	if cap(initialBuff) < initialSize {
		t.Fatalf("unexpected size of the buffer, expected at least 1MB, got: %v", cap(initialBuff))
	}

	for i := initialSize; i > 0; i = i / 10 {
		newBuff := target.Allocate(uint64(i))
		if cap(newBuff) < initialSize {
			t.Fatalf("allocator is now allowed to shrink memory")
		}
		if len(newBuff) != i {