"type": "string"
          },

				ValsEqualThemselvesAndDataLiteral("self.val5", "self.val6", fmt.Sprintf("%d", math.MaxInt64)),
				"self.val1 == self.val6", // integer with no format is the same as int64
				"type(self.val1) == int",
				fmt.Sprintf("self.val3 + 1 == %d + 1", math.MaxInt32), // CEL integers are 64 bit
				"type(self.val3) == int",
				"type(self.val5) == int",
			},
			errors: map[string]string{

          // TODO(b/287306548): we need more rigorous check to make sure the
          // node we're updating is the right one for now we're just ensuring
          // they have the same number of input, output and first output is
          // the same
          if (key_inputs.size() == inputs.size() &&
              key_outputs.size() == outputs.size() &&
              key_outputs[0] == outputs[0]) {
            ret &=

			}
		})
	}
}

// The point of this test is to show that you:
//   - get the same priority for a zero-request pod as for a pod with the defaults requests,
//     both when the zero-request pod is already on the node and when the zero-request pod
//     is the one being scheduled.
//   - don't get the same score no matter what we schedule.
func TestZeroRequest(t *testing.T) {

	if a1 == a2 {
		t.Logf("made two requests from a single conn %q (as expected)", a1)
	} else {
		t.Errorf("server reported requests from %q and %q; expected same connection", a1, a2)
	}

	// The two requests should have used the same connection,
	// and there should not have been a second connection that
	// was created by racing dial against reuse.
	// (The first get was completed when the second get started.)

            see <a href="../maven-core/artifact-handlers.html">default artifact handlers</a> for a list,</li>
            <li>distinguishing two artifacts
            that belong to the same POM but were built differently.
            For example, {@code jdk14} and {@code jdk15}.</li>
            </ul>
            ]]>
          </description>
          <type>String</type>

// a given user or group. getsubids produces a line for each mapping configured.
// Here we expect that there is a single mapping, and the same values are used for the subordinate user and group ID ranges.
// The output is something like:
// $ getsubids kubelet
// 0: kubelet 65536 2147483648
// $ getsubids -g kubelet
// 0: kubelet 65536 2147483648

  Type broadcasted_type =
      OpTrait::util::getBroadcastedType(a, b, output_element_type);
  return broadcasted_type != Type() && broadcasted_type == expected_output;
}

// Returns whether if `type1` dimensions are the same as the ending dimensions
// of `type2`. This is more restricted than broadcastable.
bool IsTailOfShape(Type type1, Type type2) {
  auto tail_type = mlir::dyn_cast<ShapedType>(type1);

    // The composed future also yields 6.
    assertEquals(6, getDone(transformedFuture).intValue());

    // Repeated calls yield the same value even though the function's behavior
    // changes
    holder.value = 3;
    assertEquals(6, getDone(transformedFuture).intValue());
    assertEquals(7, adder.apply(4).intValue());

    // The composed future also yields 6.
    assertEquals(6, getDone(transformedFuture).intValue());

    // Repeated calls yield the same value even though the function's behavior
    // changes
    holder.value = 3;
    assertEquals(6, getDone(transformedFuture).intValue());
    assertEquals(7, adder.apply(4).intValue());