/**
     * Indicate that project execution may happen.
     *
     * <p>Note: this must be called prior to any projects being created for a build tree.</p>
     */
    void startProjectExecution(boolean parallel);

    /**
     * Indicate that project execution is complete.
     *
     * <p>Note: this must be called after all projects for the build tree have been discarded.</p>
     */
    void finishProjectExecution();

# Reduce Xmx after https://github.com/gradle/gradle-private/issues/4168 is resolved
org.gradle.jvmargs=-Xmx2700m -XX:MaxMetaspaceSize=768m -XX:+HeapDumpOnOutOfMemoryError -Dfile.encoding=UTF-8
org.gradle.parallel=true
org.gradle.caching=true
org.gradle.configuration-cache=true
systemProp.gradle.publish.skip.namespace.check=true
# Kotlin DSL settings
org.gradle.kotlin.dsl.allWarningsAsErrors=true
# Kotlin settings
kotlin.incremental.useClasspathSnapshot=true

	return syscallIsNotSupported(err)
}

// ParallelOn64Bit calls t.Parallel() unless there is a case that cannot be parallel.
// This function should be used when it is necessary to avoid t.Parallel on
// 32-bit machines, typically because the test uses lots of memory.
func ParallelOn64Bit(t *testing.T) {
	if goarch.PtrSize == 4 {
		return
	}
	t.Parallel()

// See the License for the specific language governing permissions and
// limitations under the License.

[[tasks_parallel_worker]]
= Developing Parallel Tasks

Gradle provides an API that can split tasks into sections that can be executed in parallel.

image::writing-tasks-5.png[]

This allows Gradle to fully utilize the resources available and complete builds faster.

[[worker_api]]
== The Worker API

// TestTags verifies that the -tags argument controls which files to check.
func TestTags(t *testing.T) {
	t.Parallel()
	for tag, wantFile := range map[string]int{
		"testtag":     1, // file1
		"x testtag y": 1,
		"othertag":    2,
	} {
		tag, wantFile := tag, wantFile
		t.Run(tag, func(t *testing.T) {
			t.Parallel()
			t.Logf("-tags=%s", tag)
			cmd := vetCmd(t, "-tags="+tag, "tagtest")

		errmsg := runExpectingError(cmd, t)
		return nil, "", errmsg
	} else {
		run(cmd, t)
		return outfiles, outcfg, ""
	}
}

func TestCoverWithCfg(t *testing.T) {
	testenv.MustHaveGoRun(t)

	t.Parallel()

	// Subdir in testdata that has our input files of interest.
	tpath := filepath.Join("testdata", "pkgcfg")
	dir := tempDir(t)
	instdira := filepath.Join(dir, "insta")
	if err := os.Mkdir(instdira, 0777); err != nil {

	"list":                 true,
	"memprofile":           true,
	"memprofilerate":       true,
	"mutexprofile":         true,
	"mutexprofilefraction": true,
	"outputdir":            true,
	"parallel":             true,
	"run":                  true,
	"short":                true,
	"shuffle":              true,
	"skip":                 true,
	"timeout":              true,
	"trace":                true,

package ld

import (
	"debug/elf"
	"fmt"
	"internal/testenv"
	"os"
	"os/exec"
	"path/filepath"
	"runtime"
	"sort"
	"strings"
	"testing"
)

func TestDynSymShInfo(t *testing.T) {
	t.Parallel()
	testenv.MustHaveGoBuild(t)
	dir := t.TempDir()

	const prog = `
package main

import "net"

func main() {
	net.Dial("", "")
}
`
	src := filepath.Join(dir, "issue33358.go")

            throw new IllegalArgumentException("Test project needs to specify -Xmx in gradle.properties. org.gradle.jvmargs = ${jvmArgs?.join(' ')}")
        }
        verifyGradlePropertiesSettingSpecified(gradleProperties, "org.gradle.parallel")
        verifyGradlePropertiesSettingSpecified(gradleProperties, "org.gradle.workers.max")
    }

    private static void verifyGradlePropertiesSettingSpecified(Properties gradleProperties, String propertyName) {

    MlrtPromiseType:$promise,
    TF_Tensor:$tensor
  );
}

def TFMapFnOp : TensorflowMlrt_Op<"tf_map_fn", [AttrSizedOperandSegments, Pure]> {
  let summary = "The Parallel Map for tf_mlrt dialect";
  let description = [{
    The Pmap executes body function in parallel for all ranges up to $max_iterations.

    The pseudo code:
      for(int i = 0; i < $max_iterations; i++) {
        body_fn(MlrtFture($tensor_list_or_flow_in[i]),