assertEquals(4, res.getVertices().size(), "wrong # of vertices in the resulting graph after resolver");
        assertEquals(
                2,
                res.getExcidentEdges(v1).size(),
                "wrong # of excident edges in the resulting graph entry after resolver");

        assertEquals(
                1,
                res.getIncidentEdges(v2).size(),

  void oldRepeat(long reps) {
    for (int i = 0; i < reps; i++) {
      String x = oldRepeat(originalString, count);
      if (x.length() != (originalString.length() * count)) {
        throw new RuntimeException("Wrong length: " + x);
      }
    }
  }

  private static String oldRepeat(String string, int count) {
    // If this multiplication overflows, a NegativeArraySizeException or
    // OutOfMemoryError is not far behind

						ObjectMeta: metav1.ObjectMeta{
							Name:   "istio-revision-tag-wrong",
							Labels: map[string]string{IstioTagLabel: "wrong"},
						},
					},
				},
			},
			webhooksAfter: admitv1.MutatingWebhookConfigurationList{
				Items: []admitv1.MutatingWebhookConfiguration{
					{
						ObjectMeta: metav1.ObjectMeta{
							Name:   "istio-revision-tag-wrong",
							Labels: map[string]string{IstioTagLabel: "wrong"},
						},

            errors.add("Plugin's descriptor contains the wrong group ID: " + pluginDescriptor.getGroupId());
        }

        if (!pluginArtifact.getArtifactId().equals(pluginDescriptor.getArtifactId())) {
            errors.add("Plugin's descriptor contains the wrong artifact ID: " + pluginDescriptor.getArtifactId());
        }

  void oldRepeat(long reps) {
    for (int i = 0; i < reps; i++) {
      String x = oldRepeat(originalString, count);
      if (x.length() != (originalString.length() * count)) {
        throw new RuntimeException("Wrong length: " + x);
      }
    }
  }

  private static String oldRepeat(String string, int count) {
    // If this multiplication overflows, a NegativeArraySizeException or
    // OutOfMemoryError is not far behind

- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support

  }

  public void testContainsAll_wrongType() {
    Collection<WrongType> wrong = MinimalCollection.of(WrongType.VALUE);
    try {
      assertFalse(
          "containsAll(wrongType) should return false or throw", collection.containsAll(wrong));
    } catch (ClassCastException tolerated) {
    }
  }

	}
	for _, v := range headers {
		req := &http.Request{
			Header: http.Header{
				v.key: []string{v.val},
			},
		}
		res := GetSourceScheme(req)
		if res != v.expected {
			t.Errorf("wrong header for %s: got %s want %s", v.key, res,
				v.expected)
		}
	}
}

// TestGetSourceIP - check the source ip of a request is parsed correctly.
func TestGetSourceIP(t *testing.T) {
	headers := []headerTest{

    void testDefaultPolicy() throws Exception {
        MetadataGraphEdge res;

        res = policy.apply(e1, e2);
        assertEquals("1.1", res.getVersion(), "Wrong depth edge selected");

        res = policy.apply(e1, e3);
        assertEquals("1.2", res.getVersion(), "Wrong version edge selected");
    }
    // ------------------------------------------------------------------------------------------

     * matching mirror will pass through unchanged. Note: This method must be called before
     * {@link #injectAuthentication(List, List)} or the repositories will end up with the wrong credentials.
     *
     * @param repositories The repositories into which to inject the mirror information, may be {@code null}.
     * @param mirrors The available mirrors, may be {@code null}.
     */