Set<E> delegate = delegateOrNull();
    if (delegate != null) {
      metadata =
          Ints.constrainToRange(size(), CompactHashing.DEFAULT_SIZE, CompactHashing.MAX_SIZE);
      delegate.clear(); // invalidate any iterators left over!
      table = null;
      size = 0;
    } else {
      Arrays.fill(requireElements(), 0, size, null);
      CompactHashing.tableClear(requireTable());

## **4. Run Sample Applications**

After installing Hive, Hadoop and Spark successfully, we can now proceed to run some sample applications to see if they are configured appropriately.  We can use Spark Pi and Spark WordCount programs to validate our Spark installation. We can also explore how to run Spark jobs from the command line and Spark shell.

### **4.1 Spark Pi**

func TestScanRune(t *testing.T) {
	for n, test := range scanTests {
		buf := strings.NewReader(test)
		s := NewScanner(buf)
		s.Split(ScanRunes)
		var i, runeCount int
		var expect rune
		// Use a string range loop to validate the sequence of runes.
		for i, expect = range test {
			if !s.Scan() {
				break
			}
			runeCount++
			got, _ := utf8.DecodeRune(s.Bytes())
			if got != expect {

		if err != nil {
			return err
		}
		ctxt.Layout.pools = append(ctxt.Layout.pools, poolDisksLayout{cmdline: arg, layout: setArgs})
	}
	return
}

// CreateServerEndpoints - validates and creates new endpoints from input args, supports
// both ellipses and without ellipses transparently.
func createServerEndpoints(serverAddr string, poolArgs []poolDisksLayout, legacy bool) (

  validation:
    name: "Validation"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: gradle/actions/wrapper-validation@v4
      - name: Validate Renovate
        uses: rinchsan/renovate-config-validator@v0.2.0
        with:
          pattern: '.github/renovate.json'

  checkjdk11:
    permissions:
      checks: write # for mikepenz/action-junit-report

        def get_default(self) -> Any:
            if self.field_info.is_required():
                return Undefined
            return self.field_info.get_default(call_default_factory=True)

        def validate(
            self,
            value: Any,
            values: Dict[str, Any] = {},  # noqa: B006
            *,
            loc: Tuple[Union[int, str], ...] = (),

      when (expected) {
        is SSLHandshakeException -> {
          // On Android, the handshake fails before the certificate pinner runs.
          assertThat(expected.message!!).contains("Could not validate certificate")
        }
        is SSLPeerUnverifiedException -> {
          // On OpenJDK, the handshake succeeds but the certificate pinner fails.

github.com/envoyproxy/protoc-gen-validate v0.1.0/go.mod h1:iSmxcyjqTsJpI2R4NaDN7+kN2VEUnK/pcBlmesArF7c=
github.com/envoyproxy/protoc-gen-validate v1.1.0 h1:tntQDh69XqOCOZsDz0lVJQez/2L6Uu2PdjCQwWCJ3bM=
github.com/envoyproxy/protoc-gen-validate v1.1.0/go.mod h1:sXRDRVmzEbkM7CVcM06s9shE/m23dg3wzjl0UWqJ2q4=

	if idx >= len(p.Pools) {
		// We don't really know if the pool is suspended or not, since it doesn't exist.
		return false
	}
	return p.Pools[idx].Decommission != nil
}

func (p *poolMeta) validate(pools []*erasureSets) (bool, error) {
	type poolInfo struct {
		position     int
		completed    bool
		decomStarted bool // started but not finished yet
	}

	rememberedPools := make(map[string]poolInfo)

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Verify the `username` and data shape

We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.