// When fuzzing, F.Fuzz does not return until a problem is found, time runs out
// (set with -fuzztime), or the test process is interrupted by a signal. F.Fuzz
// should be called exactly once, unless F.Skip or [F.Fail] is called beforehand.
func (f *F) Fuzz(ff any) {
	if f.fuzzCalled {
		panic("testing: F.Fuzz called more than once")
	}
	f.fuzzCalled = true
	if f.failed {
		return
	}
	f.Helper()

			}
		}
		if len(ps) == 0 {
			// We can't start doing any analysis until we see what GOMAXPROCS is.
			// It will show up very early in the trace, but we need to be robust to
			// something else being emitted beforehand.
			continue
		}

		switch ev.Kind() {
		case EventRangeActive:
			if seenSync {
				// If we've seen a sync, then we can be sure we're not finding out about

====

Note that we can only use the `db(...)` and `integTestImplementation(...)` notation within the `dependencies {}` block in the above example because both configurations are declared as delegated properties beforehand via the `creating()` method.

		// is we'd need to wait on the result of a create to record the pod's
		// UID, which would require locking *across* the create, which will turn
		// into a performance bottleneck. We should generate a UID for the pod
		// beforehand and store it via ExpectCreations.
		rsc.expectations.ExpectCreations(logger, rsKey, diff)
		logger.V(2).Info("Too few replicas", "replicaSet", klog.KObj(rs), "need", *(rs.Spec.Replicas), "creating", diff)

    OpVisitorState op_to_visit = ops_to_visit.pop_back_val();
    Operation* curr_op = op_to_visit.op;

    Value token = op_to_visit.token;
    // Ops may be removed, so the next op is kept track of beforehand.
    Operation* next_op = curr_op->getNextNode();

    if (auto host_compute = dyn_cast<TF::_XlaHostComputeMlirOp>(curr_op)) {
      token = RewriteHostComputeOp(builder, host_compute, token);

                                    METHOD_STATIC_RANGE_WEIGHT_ONLY_INT8) {
      // Skipping input type check for weight-only quantization as it can be
      // dequantized beforehand for the legacy scheme.
      has_quantized_types = true;
    } else {
      // Determines if all required float input/outputs are now quantized.
      // Either one of the criteria needs to meet.

                                          BoolAttr adj_y) {
  // TensorFlow BatchMatMulOp allows the batch dimensions to be broadcastable
  // while the XlaDotV2Op doesn't. So we have to broadcast them beforehand.
  BroadcastBatchDimensionsForBatchMatMul(builder, loc, input, weight);

  // Both input and weight have the same rank after broadcasting.
  ShapedType weight_shape = mlir::cast<ShapedType>(weight.getType());

----
$ gradle init --type java-library
----

=== Standardize and provision Gradle
The built-in `gradle wrapper` task generates a script, `gradlew`, that invokes a declared version of Gradle, downloading it beforehand if necessary.

----
$ gradle wrapper --gradle-version=8.1
----

func ReadCPUStats() CPUStats {
	return work.cpuStats
}

func ReadMetricsSlow(memStats *MemStats, samplesp unsafe.Pointer, len, cap int) {
	stw := stopTheWorld(stwForTestReadMetricsSlow)

	// Initialize the metrics beforehand because this could
	// allocate and skew the stats.
	metricsLock()
	initMetrics()

	systemstack(func() {
		// Donate the racectx to g0. readMetricsLocked calls into the race detector
		// via map access.

+
This can be replaced by an inter-project task dependency in the corresponding Gradle build script, as demonstrated in the following example that assumes the "web" project's "compile" task is requires "util" to be built beforehand:
+
====
include::sample[dir="snippets/antMigration/multiProject/kotlin",files="web/build.gradle.kts[]"]
include::sample[dir="snippets/antMigration/multiProject/groovy",files="web/build.gradle[]"]
====
+