Target machines - defaults to the tested component (if present) or build host (otherwise)::
The target machine expresses which machines the application expects to run.
A target machine is identified by its operating system and architecture.
Gradle uses the target machine to decide which tool chain to choose based on availability on the host machine.

The target machine can be configured as follows:

.Configure application target machines
====

	}
	return y
}

func main() {
	flag.Parse()

	rang, except := scan(0, 0xFFFF)
	range16 = to16(rang)
	except16 = to16(except)
	range32, except32 = scan(0x10000, unicode.MaxRune)

	for i := rune(0); i <= unicode.MaxRune; i++ {
		if isPrint(i) != unicode.IsPrint(i) {
			log.Fatalf("%U: isPrint=%v, want %v\n", i, isPrint(i), unicode.IsPrint(i))
		}
	}

	var buf bytes.Buffer

Target machines - defaults to the tested component (if present) or build host (otherwise)::
The target machine expresses which machines the application expects to run.
A target machine is identified by its operating system and architecture.
Gradle uses the target machine to decide which tool chain to choose based on availability on the host machine.

The target machine can be configured as follows:

.Configure application target machines
====

  <modelVersion>4.0.0</modelVersion>
  <groupId>maven</groupId>
  <artifactId>p2</artifactId>
  <packaging>pom</packaging>
  <name>p2</name>
  <version>1.0</version>
  <mailingLists>
    <mailingList>
      <name>mailing-list</name>
    </mailingList>
  </mailingLists>

disabling kube-dns, Service Account mount, etc. For more information around VM onboarding,
refer to this [doc](https://istio.io/latest/docs/setup/install/virtual-machine/).

To deploy an echo instance as a VM
1. Set the ports for the VMs.
1. Set `DeployAsVm` to be true in `echo.Config`.
We used DefaultVMImage in the example.

For example,

```go
ports := []echo.Port{

	podA := &example.Pod{
		ObjectMeta: metav1.ObjectMeta{Namespace: "test", Name: "bar"},
		Spec:       example.PodSpec{NodeName: "machine"},
	}
	podB := &example.Pod{
		ObjectMeta: metav1.ObjectMeta{Namespace: "test", Name: "foo"},
		Spec:       example.PodSpec{NodeName: "machine"},
	}

	testContext := genericapirequest.WithNamespace(genericapirequest.NewContext(), "test")

package org.gradle.samples;

import org.junit.Test;

import static org.junit.Assert.*;

/**
 * Example local unit test, which will execute on the development machine (host).
 *
 * @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
 */
public class ExampleUnitTest {
    @Test
    public void addition_isCorrect() {
        assertEquals(4, 2 + 2);
    }

               .assertHasCause("Failed to calculate the value of task ':compileJava' property 'javaCompiler'")
               .assertHasCause("Cannot find a Java installation on your machine matching this tasks requirements: {languageVersion=14, vendor=ADOPTIUM, implementation=J9} ${getFailureMessageBuildPlatform()}.")

prefix=${TF_PREFIX}
exec_prefix=\${prefix}
libdir=\${exec_prefix}/${LIBDIR}
includedir=\${prefix}/include/tensorflow

Name: TensorFlow
Version: ${TF_VERSION}
Description: Library for computation using data flow graphs for scalable machine learning
Requires:
Libs: -L\${libdir} -ltensorflow -ltensorflow_framework
Cflags: -I\${includedir}
EOF

cat << EOF > tensorflow_cc.pc
prefix=${TF_PREFIX}
exec_prefix=\${prefix}
libdir=\${exec_prefix}/${LIBDIR}

====

Target machines - defaults to the build host::
The target machine expresses which machines the application expects to run.
A target machine is identified by its operating system and architecture.
Gradle uses the target machine to decide which tool chain to choose based on availability on the host machine.

The target machine can be configured as follows:

.Configure library target machines
====