context:
    cluster: foobar
    user: a name
current-context: default
`,
			wantErr: true,
		},
	}

	for _, tt := range tests {
		// Use a closure so defer statements trigger between loop iterations.
		err := func() error {
			tempfile, err := ioutil.TempFile("", "")
			if err != nil {
				return err
			}
			p := tempfile.Name()
			defer os.Remove(p)

      // trait, then we don't need to chain resource ops accessing this resource
      // between iterations: Every iteration will create a new independent
      // resource. This enables more parallelism across iterations.
      if (!side_effect_analysis.IsUniqueResourceAllocationId(
              resource_and_device.first)) {

        # args, so each arg winds up back in the position where it started, but
        # possibly modified.
        #
        # NB: a `for` loop captures its iteration list before it begins, so
        # changing the positional parameters here affects neither the number of
        # iterations, nor the values presented in `arg`.
        shift                   # remove old arg
        set -- "\$@" "\$arg"      # push replacement arg
    done
fi

) -> rd.RepresentativeDataset:
  """Logs the sample number for calibration.

  If in debug logging level, the "sample number / total num samples" is logged
  for every 5 iterations.

  This is often useful when tracking the progress of the calibration step which
  is often slow and may look stale if there's no logs being printed.

  Args:

	default:
		a2 = 0
	}

	// Since we are calculating with full words to avoid overflow,
	// we use 'even' to track the sign of the cosequences.
	// For even iterations: u0, v1 >= 0 && u1, v0 <= 0
	// For odd  iterations: u0, v1 <= 0 && u1, v0 >= 0
	// The first iteration starts with k=1 (odd).
	even = false
	// variables to track the cosequences
	u0, u1, u2 = 0, 1, 0
	v0, v1, v2 = 0, 0, 1

    void setWarmups(@Nullable String warmups) {
        this.warmups = warmups
    }

    @Option(option = "runs", description = "Number of iterations of measurements")
    void setRuns(@Nullable String runs) {
        this.runs = runs
    }

    @Option(option = "checks", description = "Tells which regressions to check. One of [none, speed, all]")

        kube::log::usage "'$0': argument to -p must be numeric and greater than 0"
        kube::test::usage
        exit 1
      fi
      ;;
    i)
      kube::log::usage "'$0': use GOFLAGS='-count <num-iterations>'"
      kube::test::usage
      exit 1
      ;;
    :)
      kube::log::usage "Option -${OPTARG} <value>"
      kube::test::usage
      exit 1
      ;;
    ?)
      kube::test::usage

			c = 0
			ng = nng
		}
		if c >= 100 {
			// The same value 100 times in a row is good enough.
			return ng
		}
		runtime.Gosched()
	}
	panic("failed to stabilize NumGoroutine after 1000 iterations")
}

func TestPullDoubleNext(t *testing.T) {
	next, _ := Pull(doDoubleNext())
	nextSlot = next
	next()
	if nextSlot != nil {
		t.Fatal("double next did not fail")
	}
}

						break
					}
				}
				// Process generated changes
				continue
			}
		}
		evaluateTestResults(ctx, ctrl, reactor.VolumeReactor, test, t)
		logger.V(4).Info("Test finished after iterations", "testName", test.name, "iterations", counter)
	}

	for _, test := range tests {
		test := test
		t.Run(test.name, func(t *testing.T) {
			t.Parallel()
			run(t, test)
		})
	}
}

	MOVD y+48(FP), R4	// R4 = y = c
	MOVD z_len+8(FP), R11	// R11 = z_len

	CMP   R11, $0		// If z_len is zero, return
	BEQ   done

	// We will process the first iteration out of the loop so we capture
	// the value of c. In the subsequent iterations, we will rely on the
	// value of CA set here.
	MOVD  0(R8), R20	// R20 = x[i]
	ADD   $-1, R11		// R11 = z_len - 1
	ADDC  R20, R4, R6	// R6 = x[i] + c