t.Errorf("Expected 2 more actions, got %d", len(client.Actions())-numActionsBefore)
	}

	// only 2 slices should match, 2 should be deleted, 1 should be updated as a placeholder
	expectAction(t, client.Actions(), numActionsBefore, "update", "endpointslices")
	expectAction(t, client.Actions(), numActionsBefore+1, "delete", "endpointslices")

	// ensure cache mutation has not occurred
	cmc.Check(t)
}

			}

			if len(compilationResults) != len(tt.expectedResults) {
				t.Fatalf("one test expectation per rule is required")
			}

			for i, expectedResult := range tt.expectedResults {
				if !expectedResult.matches(compilationResults[i]) {
					t.Errorf("result %d does not match expectation: %v", i+1, expectedResult)
				}
			}
		})
	}
}

//     if ((n % 2) == 0)
//       return testing::AssertionSuccess();
//     else
//       return testing::AssertionFailure() << n << " is odd";
//   }
//
// Then the failed expectation EXPECT_TRUE(IsEven(Fib(5)))
// will print the message
//
//   Value of: IsEven(Fib(5))
//     Actual: false (5 is odd)
//   Expected: true
//
// instead of a more opaque
//

//     if ((n % 2) == 0)
//       return testing::AssertionSuccess();
//     else
//       return testing::AssertionFailure() << n << " is odd";
//   }
//
// Then the failed expectation EXPECT_TRUE(IsEven(Fib(5)))
// will print the message
//
//   Value of: IsEven(Fib(5))
//     Actual: false (5 is odd)
//   Expected: true
//
// instead of a more opaque
//

							},
						},
					})
				}
				// Don't delete all pods because we confirm that the last pod
				// has exactly one expectation at the end, to verify that we
				// don't double delete.
				for i := range podsToDelete[1:] {
					informers.Core().V1().Pods().Informer().GetIndexer().Delete(podsToDelete[i])

	// and update the expectations after we've retrieved active pods from the store. If a new pod enters
	// the store after we've checked the expectation, the job sync is just deferred till the next relist.
	satisfiedExpectations := jm.expectations.SatisfiedExpectations(logger, key)

	pods, err := jm.getPodsForJob(ctx, &job)
	if err != nil {
		return err
	}

	finalCPUPercentTarget := int32(target * 100)
	resourcesUsedRatio := float64(totalUsedCPUOfAllPods) / float64(float64(totalRequestedCPUOfAllPods)*target)

	// i.e. .60 * 20 -> scaled down expectation.
	finalPods := int32(math.Ceil(resourcesUsedRatio * float64(startPods)))

	// To breach tolerance we will create a utilization ratio difference of tolerance to usageRatioToleranceValue)
	tc := replicaCalcTestCase{

	)

	require.ErrorContains(t, err, `Denied`)
	require.Equal(t, 1, numCompiles)
}

// Shows what happens when multiple policies share one param type, then
// one policy stops using the param. The expectation is the second policy
// keeps behaving normally
func TestMultiplePoliciesSharedParamType(t *testing.T) {
	compiler := &fakeCompiler{}
	matcher := &fakeMatcher{
		DefaultMatch: true,
	}

	} {
		i, ok := new(Int).SetString(test.istr, 0)
		if !ok {
			t.Errorf("SetString(%s) failed", test.istr)
			continue
		}

		// Test against expectation.
		f, acc := i.Float64()
		if f != test.f || acc != test.acc {
			t.Errorf("%s: got %f (%s); want %f (%s)", test.istr, f, acc, test.f, test.acc)
		}

// than it theoretically should.
// expectFair indicate whether the QueueSet is expected to be
// fair in the respective halves of a split scenario;
// in a non-split scenario this is a singleton with one expectation.
// expectAllRequests indicates whether all requests are expected to get dispatched.
// expectedAverages, if provided, replaces the normal calculation of expected results.
type uniformScenario struct {