}

# Downloads and extract an Envoy binary if the artifact doesn't already exist.
# Params:
#   $1: The URL of the Envoy tar.gz to be downloaded.
#   $2: The full path of the output binary.
#   $3: Non-versioned name to use
function download_envoy_if_necessary () {
  if [[ ! -f "$2" ]] ; then
    # Enter the output directory.
    mkdir -p "$(dirname "$2")"
    pushd "$(dirname "$2")"

  // CRI implementation will use to handle pods of this class. The possible
  // values are specific to the node & CRI configuration.  It is assumed that
  // all handlers are available on every node, and handlers of the same name are
  // equivalent on every node.
  // For example, a handler called "runc" might specify that the runc OCI
  // runtime (using native Linux containers) will be used to run the containers
  // in a pod.

* force node name lowercase on static pod name generating ([#59849](https://github.com/kubernetes/kubernetes/pull/59849), [@yue9944882](https://github.com/yue9944882)

* fix device name change issue for azure disk ([#60346](https://github.com/kubernetes/kubernetes/pull/60346), [@andyzhangx](https://github.com/andyzhangx))

    List<String> hits = new ArrayList<>();
    for (int i = 0; i < hitRate * 256 / 3; ++i) {
      hits.add(allConstants[0].name());
      hits.add(allConstants[allConstants.length / 2].name());
      hits.add(allConstants[allConstants.length - 1].name());
    }

    List<String> misses = new ArrayList<>();
    for (int i = 0; i < 256 - hits.size(); ++i) {
      misses.add("INVALID");
    }

두 번째 매개변수는  `dict`의 값(value)입니다.

```Python hl_lines="1  4"
{!../../docs_src/python_types/tutorial008.py!}
```

이 뜻은 아래와 같습니다:

* 변수 `prices`는 `dict`이다:
    * `dict`의 키(key)는 `str`타입이다. (각 아이템의 이름(name))
    * `dict`의 값(value)는 `float`타입이다. (각 아이템의 가격(price))

#### `Optional`

`str`과 같이 타입을 선언할 때 `Optional`을 쓸 수도 있는데, "선택적(Optional)"이기때문에 `None`도 될 수 있습니다:

```Python hl_lines="1  4"

        switch (form.crudMode) {
        case CrudMode.CREATE:
            return OptionalEntity.of(new Role()).map(entity -> {
                entity.setId(Base64.getUrlEncoder().encodeToString(form.name.getBytes(Constants.CHARSET_UTF_8)));
                return entity;
            });
        case CrudMode.EDIT:
            if (form instanceof EditForm) {

      .isNotEqualTo(CipherSuite.TLS_RSA_EXPORT_WITH_RC4_40_MD5)
  }

  @Test
  fun forJavaName_acceptsArbitraryStrings() {
    // Shouldn't throw.
    forJavaName("example CipherSuite name that is not in the whitelist")
  }

  @Test
  fun javaName_examples() {
    assertThat(CipherSuite.TLS_RSA_EXPORT_WITH_RC4_40_MD5.javaName)
      .isEqualTo("SSL_RSA_EXPORT_WITH_RC4_40_MD5")

<mxfile host="65bd71144e">
    <diagram id="jyERGzDynktFHFRGN0ph" name="Page-1">
        <mxGraphModel dx="2738" dy="2173" grid="1" gridSize="10" guides="1" tooltips="1" connect="1" arrows="1" fold="1" page="1" pageScale="1" pageWidth="1920" pageHeight="1200" math="0" shadow="0">
            <root>
                <mxCell id="0"/>
                <mxCell id="1" parent="0"/>

// This allows the client to swap the implementation of the tracing engine.
// Any future call to TF_CreateFunction will use the implementation defined
// here.
void TF_SetTracingImplementation(const char* name, TF_Status*);

// Creates a new TensorFlow function. A Function is an execution context, and as
// such it can trace operations through TF_ExecuteOperation. After completing

        context.slf4jConfiguration.activate();
        org.slf4j.Logger l = context.loggerFactory.getLogger(this.getClass().getName());
        context.logger = (level, message, error) -> l.atLevel(org.slf4j.event.Level.valueOf(level.name()))
                .setCause(error)
                .log(message);

        if (mavenOptions.failOnSeverity().isPresent()) {
            String logLevelThreshold = mavenOptions.failOnSeverity().get();