},
					},
				},
			},
			[]metav1.TableRow{{Cells: []interface{}{"test11", "0/1", "Running", "4 (20s ago)", "<unknown>"}}},
		},
		{
			// Test pod has 1 container that restarted 5d ago
			api.Pod{
				ObjectMeta: metav1.ObjectMeta{Name: "test12"},
				Spec:       api.PodSpec{Containers: make([]api.Container, 1)},
				Status: api.PodStatus{
					Phase: "Running",

            X509v3 Basic Constraints: critical
                CA:TRUE
    Signature Algorithm: ED25519
         53:a5:58:1c:2c:3b:2a:9e:ac:9d:4e:a5:1d:5f:5d:6d:a6:b5:
         08:de:12:82:f3:97:20:ae:fa:d8:98:f4:1a:83:32:6b:91:f5:
         24:1d:c4:20:7f:2c:e2:4d:da:13:3b:6d:54:1a:d2:a8:28:dc:
         60:b9:d4:f4:78:4b:3c:1c:91:00
-----BEGIN CERTIFICATE-----

    if (strides_type.getDimSize(0) > num_input_dims) return failure();
  }

  // The kernel will reshape the input tensor with new axis, it only supports
  // this reshaped tensor up to 5D.
  uint32_t ellipsis_mask = op.getEllipsisMask();
  uint32_t new_axis_mask = op.getNewAxisMask();
  int num_added_axis = 0;
  for (int i = 0; i < 8; ++i) {

    BoolAttr:$offset
  );

  let results = (outs
    TFL_TensorOf<[F32, I32, I64, I8, UI8, UI32, QI8, QUI8, I1, I16, QI16, TFL_Quint8, TFL_Str]>:$output
  );

  // TFLite kernel only supports up to 5D input including added axis.
  let hasVerifier = 1;

  let hasOptions = 1;

  let hasFolder = 1;
}

// If there is a change in supporting more types in the TFLite cast op kernel,