Other notable changes to be aware of that may break your build include:

 * <<#rel5.0:pom_compile_runtime_separation,Separation of compile and runtime dependencies when consuming POMs>>
 * A change that means you should <<#rel4.8:configure_internal_tasks,configure existing `wrapper` and `init` tasks>> rather than defining your own.

    assertThat(synStream.associatedStreamId).isEqualTo(-1)
    assertThat(synStream.headerBlock).isEqualTo(headerEntries("a", "artichaut"))
  }

  /** A server RST_STREAM shouldn't prevent the client from consuming the response body.  */
  @Test fun serverResponseBodyRstStream() {
    // Write the mocking script.
    peer.sendFrame().settings(Settings())
    peer.acceptFrame() // ACK
    peer.acceptFrame() // SYN_STREAM

	if err == nil {
		t.Errorf("Expected an error for consuming a limited resource without quota.")
	}
}

// TestAdmitLimitedResourceNoQuotaIgnoresNonMatchingResources shows it ignores non matching resources in config.

      ForEachEdgeInPostOrder([&](Cluster* from,
                                 Cluster* to) -> absl::StatusOr<bool> {
        // Shape consuming operations are desirable to cluster with their
        // operands because they return a small set of scalar values after
        // consuming a large amount of data.  For example, given a graph X -> Y
        // -> Size -> Z, where the possible clustering is [{X, Y, Size}, {Z}] or

	// 2) the size of the channels are set to 10 for the watcher
	// 3) if the test is cpu-starved and the internal goroutine is not picking
	//    up these events from the channel, after consuming the whole time
	//    budget (defaulted to 100ms) on waiting, we will simply close the watch,
	//    which will cause the test failure
	// Using fakeTimeBudget gives us always a budget to wait and have a test

            subjectName == "producer.jar (project :producer)"
        }

        checkExecuteTransformWorkOperations(executePlannedStepOps[1], 2)
    }

    def "single transform consuming multiple artifacts from task"() {
        createDirs("producer", "consumer")
        settingsFile << """
            include 'producer', 'consumer'
        """

        taskTypeWithMultipleOutputFileProperties()

		})
	})
}

func TestLabelRace(t *testing.T) {
	testenv.MustHaveParallelism(t)
	// Test the race detector annotations for synchronization
	// between setting labels and consuming them from the
	// profile.
	matches := matchAndAvoidStacks(stackContainsLabeled, []string{"runtime/pprof.cpuHogger;key=value"}, nil)
	testCPUProfile(t, matches, func(dur time.Duration) {
		start := time.Now()

}

LogicalResult CreateUniformQuantizedPerAxisTypeParams(
    quant::UniformQuantizedPerAxisType qtype, Location loc,
    PatternRewriter& rewriter, Value& scale, Value& zero_point) {
  // Consuming op should already know about Quantized channel information,
  // so not passing it during conversion. This design might change if needed.
  ArrayRef<double> scales = qtype.getScales();

=== Using dependency resolution results

Dependency resolution results can be consumed as task inputs in two ways.
First by consuming the graph of the resolved metadata using link:{javadocPath}/org/gradle/api/artifacts/result/ResolvedComponentResult.html[ResolvedComponentResult].
Second by consuming the flat set of the resolved artifacts using link:{javadocPath}/org/gradle/api/artifacts/result/ResolvedArtifactResult.html[ResolvedArtifactResult].

This can lead to confusing circular dependency graphs, as the configuration being resolved is used for two different purposes.

To avoid this problem, plugins should mark all resolvable configurations as `canBeConsumed=false` or use the `resolvable(String)` configuration factory method when creating configurations meant for resolution.