if len(errs) != 2 {
		t.Errorf("expected 2 validation errors. Got: %v", errs)
	} else {
		if got, expected := errs[0].Error(), "foo"; !strings.Contains(got, expected) {
			t.Errorf("unexpected errors: expected=%q, got=%q", expected, got)
		}
		if got, expected := errs[1].Error(), "foo"; !strings.Contains(got, expected) {
			t.Errorf("unexpected errors: expected=%q, got=%q", expected, got)
		}
	}

                    fromCookies:
                      description: List of cookie names from which JWT is expected.
                      items:
                        type: string
                      type: array
                    fromHeaders:
                      description: List of header locations from which JWT is expected.
                      items:
                        properties:
                          name:

                      description: List of cookie names from which JWT is expected.
                      items:
                        minLength: 1
                        type: string
                      type: array
                    fromHeaders:
                      description: List of header locations from which JWT is expected.
                      items:
                        properties:

                              reason contains a programmatic identifier indicating the reason for the condition's last transition.
                              Producers of specific condition types may define expected values and meanings for this field,
                              and whether the values are considered a guaranteed API.
                              The value should be a CamelCase string.

                                      tf.constant(0, dtype=dtype))]

  expected = tf.constant([0, 0, 0, 0], dtype=tf.float32)
  tf.assert_equal(tf.cast(not_a_and_a, tf.float32), expected)

  expected = tf.cast([not_0] * 4, tf.float32)
  tf.assert_equal(tf.cast(not_a_or_a, tf.float32), expected)

  # For unsigned dtypes let's also check the result directly.
  if dtype.is_unsigned:

        such as `tf.tensor_scatter_nd_update`, on CPU (with significant
        performance penalty).
    *   Add determinism-unimplemented exception-throwing to the following ops.
        When op-determinism is expected (i.e. after
        `tf.config.experimental.enable_op_determinism` has been called), an
        attempt to use the specified paths through the following ops on a GPU

            "type": "string"
          },
          "kind": {
            "description": "kind expected values are Shared: multiple blob disks per storage account  Dedicated: single blob disk per storage account  Managed: azure managed data disk (only in managed availability set). defaults to shared",
            "type": "string"

- Fix handling of aws-load-balancer-security-groups annotation. Security-Groups assigned with this annotation are no longer modified by kubernetes which is the expected behaviour of most users. Also no unnecessary Security-Groups are created anymore if this annotation is used. ([#83446](https://github.com/kubernetes/kubernetes/pull/83446), [@Elias481](https://github.com/Elias481)) [SIG Cloud Provider]