// and all requested packages are in "all", then loading completes in a single
// iteration.
// TODO(bcmills): We should also be able to load in a single iteration if the
// requested packages all come from modules that are themselves tidy, regardless
// of whether those packages are in "all". Today, that requires two iterations
// if those packages are not found in existing dependencies of the main module.

import (
	"context"

 *  instant.doStuff == operation.doStuff.end
 * </pre>
 */
class Operations {
    private final InstantFactory instantFactory
    private final Object lock = new Object()
    private final Map<String, NamedOperation> operations = [:]
    private final OperationListener listener

    Operations(InstantFactory instantFactory, OperationListener listener) {
        this.listener = listener

	done <- struct{}{}
	go func() {
		for i := 0; i < 2; i++ {
			_, open := <-ch
			if !open {
				return
			}
		}
		t.Error("expected closed channel after two iterations")
	}()
	<-complete

	if len(errc) != 0 {
		t.Fatal(<-errc)
	}
}

func Test_waitFor(t *testing.T) {
	var invocations int
	testCases := map[string]struct {
		F       ConditionFunc

  // tensor from A being computed and copied.
  //
  // To choose better maximal clusterings we make multiple iterations over the
  // graph in post-order, where each such iteration is called a "phase".

  // Phase 0: contract metadata operations with their producer.

  VLOG(4) << "Running phase 0";
  TF_RETURN_IF_ERROR(
      ForEachEdgeInPostOrder([&](Cluster* from,

		i <<= levelBits[l]

		// Slice out the block of entries we care about.
		entries := p.summary[l][i : i+entriesPerBlock]

		// Determine j0, the first index we should start iterating from.
		// The searchAddr may help us eliminate iterations if we followed the
		// searchAddr on the previous level or we're on the root level, in which
		// case the searchAddr should be the same as i after levelShift.
		j0 := 0

		if s.vars[i].name == name {
			s.vars[i].value = value
			return
		}
	}
	s.errorf("undefined variable: %s", name)
}

// setTopVar overwrites the top-nth variable on the stack. Used by range iterations.
func (s *state) setTopVar(n int, value reflect.Value) {
	s.vars[len(s.vars)-n].value = value
}

// varValue returns the value of the named variable.
func (s *state) varValue(name string) reflect.Value {

// explains why this choice was made.)
const chainedMutations = 5

// fuzz runs the test function on random variations of the input value in shared
// memory for a limited duration or number of iterations.
//
// fuzz returns early if it finds an input that crashes the fuzz function (with
// fuzzResponse.Err set) or an input that expands coverage (with
// fuzzResponse.InterestingDuration set).
//

	// also no stale generation values left. Therefore, it's safe to flush
	// any buffers that remain in that generation's slot.
	const debugDeadlock = false
	systemstack(func() {
		// Track iterations for some rudimentary deadlock detection.
		i := 0
		detectedDeadlock := false

		for mToFlush != nil {
			prev := &mToFlush
			for mp := *prev; mp != nil; {
				if mp.trace.seqlock.Load()%2 != 0 {

			// no point in putting it into the facts table.
		}

		// try to rewrite to a downward counting loop checking against start if the
		// loop body does not depends on ind or nxt and end is known before the loop.
		// This reduce pressure on the register allocator because this do not need
		// to use end on each iteration anymore. We compare against the start constant instead.

  // operand type was inferred. This would need to be careful if working on a
  // region that would not be isolated.
  for (int iteration = 0; iteration < max_iterations && changed; ++iteration) {
    changed = false;
    LLVM_DEBUG(llvm::dbgs()
               << "Shape inference, iteration " << iteration << "\n");
    auto res = region->walk([&](Operation* op) {
      auto abstract_op = op->getRegisteredInfo();