istioctl experimental metrics productpage-v1 -d 2m

  # Retrieve workload metrics for various services in the different namespaces
  istioctl experimental metrics productpage-v1.foo reviews-v1.bar ratings-v1.baz`,
		// nolint: goimports
		Aliases: []string{"m"},
		Args: func(cmd *cobra.Command, args []string) error {
			if len(args) < 1 {
				cmd.Println(cmd.UsageString())

Python 中的 "**可调用对象**" 是指任何 Python 可以像函数一样 "调用" 的对象。

所以，如果你有一个对象 `something` (可能*不是*一个函数)，你可以 "调用" 它(执行它)，就像：

```Python
something()
```

或者

```Python
something(some_argument, some_keyword_argument="foo")
```

这就是 "可调用对象"。

## 类作为依赖项

您可能会注意到，要创建一个 Python 类的实例，您可以使用相同的语法。

举个例子:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

    }

    /**
     * 指定のクラスを基点とする、リソースやクラスの集まりを扱う{@link Traverser}を返します。
     * <p>
     * このメソッドが返す{@link Traverser}は、指定されたクラスをFQNで参照可能なパスをルートとします。 例えば指定されたクラスが
     * <code>foo.Bar</code>で、そのクラスファイルが <code>classes/foo/Bar.class</code>の場合、
     * このメソッドが返す {@link Traverser}は<code>classes</code>ディレクトリ以下のリソースの集合を扱います。
     * </p>
     *
     * @param referenceClass
     *            基点となるクラス。{@literal null}であってはいけません

 * when {@code compare} is called on the above ordering:
 *
 * <ol>
 *   <li>First, if only one {@code Foo} is null, that null value is treated as <i>greater</i>
 *   <li>Next, non-null {@code Foo} values are passed to {@code getBarFunction} (we will be
 *       comparing {@code Bar} values from now on)

  }

  public void testRemoveFromStringHeap() {
    MinMaxPriorityQueue<String> mmHeap =
        rawtypeToWildcard(MinMaxPriorityQueue.expectedSize(5)).create();
    Collections.addAll(mmHeap, "foo", "bar", "foobar", "barfoo", "larry", "sergey", "eric");
    assertTrue("Heap is not intact initially", mmHeap.isIntact());
    assertEquals("bar", mmHeap.peek());
    assertEquals("sergey", mmHeap.peekLast());

    assertTrue(asList(entrySetToArray1).containsAll(entrySet));

    Entry<?, ?>[] entrySetToArray2 = new Entry<?, ?>[map.size() + 2];
    entrySetToArray2[map.size()] = mapEntry("foo", 1);
    assertSame(entrySetToArray2, entrySet.toArray(entrySetToArray2));
    assertNull(entrySetToArray2[map.size()]);
    assertTrue(asList(entrySetToArray2).containsAll(entrySet));

            .expireAfterWrite(15L, SECONDS);
    assertCacheBuilderEquivalence(expected, CacheBuilder.from(spec));
  }

  public void testParse_unknownKey() {
    assertThrows(IllegalArgumentException.class, () -> parse("foo=17"));
  }

  public void testParse_extraCommaIsInvalid() {
    assertThrows(IllegalArgumentException.class, () -> parse("weakKeys,"));

    assertThrows(IllegalArgumentException.class, () -> parse(",weakKeys"));

    }

    protected ArtifactRepository badRemoteRepository() throws Exception {
        return artifactRepositoryFactory.createArtifactRepository(
                "test", "http://foo.bar/repository", repoLayout, null, null);
    }

    protected void assertRemoteArtifactPresent(Artifact artifact) throws Exception {
        ArtifactRepository remoteRepo = remoteRepository();

```Python
something()
```

ou

```Python
something(some_argument, some_keyword_argument="foo")
```

Então esse objeto é um "chamável".

## Classes como dependências

Você deve ter percebido que para criar um instância de uma classe em Python, a mesma sintaxe é utilizada.

Por exemplo:

```Python

So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like:

```Python
something()
```

or

```Python
something(some_argument, some_keyword_argument="foo")
```

then it is a "callable".

## Classes as dependencies

You might notice that to create an instance of a Python class, you use that same syntax.

For example:

```Python
class Cat: