* the same structure:
 *
 *  * prepare a set of plans, each with a predictable connect delay
 *  * attempt to find a connection
 *  * step through time, asserting that the expected side effects are performed.
 */
internal class FastFallbackExchangeFinderTest {
  private val taskFaker = TaskFaker()
  private val taskRunner = taskFaker.taskRunner

  /**

		np = &dot.X // peel away method selector
	}

	// Check for side effects in the callee expression.
	// We explicitly special case new(T) though, because it doesn't have
	// observable side effects, and keeping it in place allows better escape analysis.
	if !ir.Any(*np, func(n ir.Node) bool { return n.Op() != ir.ONEW && callOrChan(n) }) {
		return
	}

	"cmd/compile/internal/escape"
	"cmd/compile/internal/ir"
	"cmd/compile/internal/reflectdata"
	"cmd/compile/internal/typecheck"
	"cmd/compile/internal/types"
)

// Rewrite append(src, x, y, z) so that any side effects in
// x, y, z (including runtime panics) are evaluated in
// initialization statements before the append.
// For normal code generation, stop there and leave the
// rest to ssagen.
//

When task relationships need to be established (i.e., `dependsOn`, `finalizedBy`, `mustRunAfter`, `shouldRunAfter`), a distinction can be made between soft and strong relationships.
Their effects on task creation during the configuration phase differ:

// which is modified by applying the given update functions sequentially.
// Because updateFuncs are applied sequentially, later updateFuncs should take into account
// the effects of previous updateFuncs to avoid potential conflicts. For example, if multiple
// functions update the same field, updates in the last function are persisted.

	1<<0 | 0<<1 | 1<<2 | 1<<3 | 1<<4 | 1<<5 | 0<<6 | 1<<7,
	1<<0 | 1<<1 | 1<<2 | 0<<3 | 1<<4 | 1<<5 | 1<<6 | 1<<7,
	0<<0 | 1<<1 | 1<<2 | 1<<3 | 1<<4 | 0<<5 | 1<<6 | 1<<7,
}

// lockRankMayQueueFinalizer records the lock ranking effects of a
// function that may call queuefinalizer.
func lockRankMayQueueFinalizer() {
	lockWithRankMayAcquire(&finlock, getLockRank(&finlock))
}

	m := make([]int, n)
	// In the following loop, the iteration when i=0 always swaps m[0] with m[0].
	// A change to remove this useless iteration is to assign 1 to i in the init
	// statement. But Perm also effects r. Making this change will affect
	// the final state of r. So this change can't be made for compatibility
	// reasons for Go 1.
	for i := 0; i < n; i++ {
		j := r.Intn(i + 1)
		m[i] = m[j]
		m[j] = i
	}
	return m
}

internal
enum class StateType(val encryptable: Boolean = false) {
    /**
     * Contains the state for the entire build.
     */
    Work(true),

    /**
     * Contains the side effects observed during the creation of the [Model].
     */
    ModelSideEffects(true),

    /**
     * Contains the model objects sent back to the IDE in response to a TAPI request.
     */
    Model(true),

		}
		gidmap = formatIDMappings(sys.GidMappings)
	}

	// Record parent PID so child can test if it has died.
	ppid, _ := rawSyscallNoError(SYS_GETPID, 0, 0, 0)

	// Guard against side effects of shuffling fds below.
	// Make sure that nextfd is beyond any currently open files so
	// that we can't run the risk of overwriting any of them.
	fd := make([]int, len(attr.Files))
	nextfd = len(attr.Files)

// empty optional.
static std::optional<ValuesConstraintSet> CanBeClustered(
    Operation *op, const ClusteringPolicySet &policies,
    const std::function<bool(Operation *op)> &filter) {
  // Check that op has no side effects. This guarantees that we will not
  // reorder side-effecting ops during cluster formation.
  if (!isMemoryEffectFree(op)) return std::nullopt;

  // Operation rejected by the custom filter.