panic(err)
		}
		// signal may not be received immediately. Wait for it.
		select{}
	})
}

func FuzzKill(f *testing.F) {
	f.Fuzz(func(*testing.T, bool) {
		pid := syscall.Getpid()
		if err := syscall.Kill(pid, syscall.SIGKILL); err != nil {
			panic(err)
		}
		// signal may not be received immediately. Wait for it.
		select{}
	})
}

func FuzzCrash(f *testing.F) {
	f.Fuzz(func(*testing.T, bool) {

                select(CommonBuilds.PROJECT_PATH_TEST, CommonBuilds.BUILD_PATH_COMPILE),
                Collections.singletonList(system),
                nonTransitiveDependencyScopes));
        result.add(internalScopeManager.createResolutionScope(
                RS_TEST_RUNTIME,
                InternalScopeManager.Mode.ELIMINATE,

        registry.registerDefaultToolChain("test3", TestNativeToolChain)
        registry.addDefaultToolChains()

        and:
        def tc = registry.getForPlatform(platform)
        def result = tc.select(platform)

        when:
        result.newCompiler(CCompileSpec.class)

        then:
        GradleException e = thrown()

# CI Pipeline Configuration

## Open & import the project

In your IDEA, `File` - `Open`, select `.teamcity/pom.xml`, `import as project`, and you'll have a Maven project.

## Project structure

Mostly a standard Maven project structure. The entry point `settings.kts` defines the TeamCity project.

There are 3 subprojects in the TeamCity project hierarchy: `Check` for Gradle builds, `Promotion` for releasing Gradle versions, `Util` for miscellaneous utilities.

		var ok bool
		i, ok = <-b
		_ = ok

		i.M()
	}

	{
		i := I(A{})

		b := make(chan I, 1)
		b <- B{}

		select {
		case i = <-b:
		}

		i.M()
	}

	{
		i := I(A{})

		b := make(chan I, 1)
		b <- B{}

		var ok bool
		select {
		case i, ok = <-b:
		}
		_ = ok

		i.M()
	}
}

type I interface{ M() int }

type T int

        }
    }
}
// end::cpp-compiler-options-per-variants[]

// tag::cpp-select-target-machines[]
application {
    targetMachines = [
        machines.linux.x86_64,
        machines.windows.x86, machines.windows.x86_64,
        machines.macOS.x86_64
    ]
}

// Test DeviceIndex selector.

// RUN: tf-opt --tf-device-index-selector %s | FileCheck %s

// CHECK-LABEL: func @select
func.func @select(%arg0: tensor<f32>, %arg1: tensor<f32>) -> (tensor<i32>, tensor<f32>) {
  // CHECK:  %[[first:.*]] = "tf.DeviceIndex"
  // CHECK: constant dense<2>
  // CHECK:  return %[[first]],
  %0 = "tf.DeviceIndex"() {device = "", device_names = ["CPU", "GPU"]} : () -> tensor<i32>

// This set is caught by pass 1.
// Does not compile.

package main

var x int

func f() {
L1: // ERROR "label .*L1.* defined and not used"
	for {
	}
L2: // ERROR "label .*L2.* defined and not used"
	select {}
L3: // ERROR "label .*L3.* defined and not used"
	switch {
	}
L4: // ERROR "label .*L4.* defined and not used"
	if true {
	}
L5: // ERROR "label .*L5.* defined and not used"
	f()

    /**
     * Returns the type of the artifact to select
     */
    String getType();

    /**
     * Returns the extension of the artifact to select. If it returns null, it will fallback to jar.
     */
    @Nullable
    String getExtension();

    /**
     * Returns the classifier of the artifact to select.
     */
    @Nullable
    String getClassifier();

                // If there is a single constructor, and that constructor is public or package private we select it.
                return constructor;
            }
            if (constructor.getAnnotation(Inject.class) != null) {
                // Otherwise, if there is a single constructor that is annotated with `@Inject`, we select it (short-circuit).
                return constructor;
            }
        }