# 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

        # 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:

   * process()/processRemaining() invocations, due to alignment.
   */
  @AndroidIncompatible // slow. TODO(cpovirk): Maybe just reduce iterations under Android.
  public void testExhaustive() throws Exception {
    Random random = new Random(0); // will iteratively make more debuggable, each time it breaks

			t.Skipf("can't open %q: %v", nonPollable, err)
		}
		t.Fatal(err)
	}
	f.Close()

	// On a Linux laptop, before the problem was fixed,
	// this test failed about 50% of the time with this
	// number of iterations.
	// It takes about 1/2 second when it passes.
	const attempts = 20000

	start := make(chan bool)
	var wg sync.WaitGroup
	wg.Add(1)
	defer wg.Wait()
	go func() {
		defer wg.Done()
		close(start)

	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

        # 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

    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]")

	func (b *B) trimOutput()

	// The results of a benchmark run. 
	type BenchmarkResult struct {
		N	int		// The number of iterations.
		T	time.Duration	// The total time taken.
		Bytes	int64		// Bytes processed in one iteration.
	}

	// Benchmark benchmarks a single function. Useful for creating ...
	func Benchmark(f func(b *B)) BenchmarkResult

	// 

	pos token.Pos
	typ Type
}

func (check *Checker) monomorph() {
	// We detect unbounded instantiation cycles using a variant of
	// Bellman-Ford's algorithm. Namely, instead of always running |V|
	// iterations, we run until we either reach a fixed point or we've
	// found a path of length |V|. This allows us to terminate earlier
	// when there are no cycles, which should be the common case.

	again := true
	for again {