* we must create an array of objects that do.
         */
        final srvsvc.ShareInfoCtr1 ctr = (srvsvc.ShareInfoCtr1) info;
        final MsrpcShareInfo1[] entries = new MsrpcShareInfo1[ctr.count];
        for (int i = 0; i < ctr.count; i++) {
            entries[i] = new MsrpcShareInfo1(ctr.array[i]);
        }
        return entries;
    }

    private final Collection<String> scopesToResolveForAggregatedProjects;

    private volatile Collection<?> lastDependencyArtifacts = Collections.emptyList();

    private volatile int lastDependencyArtifactCount = -1;

    public DependencyContext(
            MavenProject project, Collection<String> scopesToCollect, Collection<String> scopesToResolve) {
        this.project = project;

# Ek Veri Tipleri { #extra-data-types }

Şimdiye kadar şunlar gibi yaygın veri tiplerini kullanıyordunuz:

* `int`
* `float`
* `str`
* `bool`

Ancak daha karmaşık veri tiplerini de kullanabilirsiniz.

Ve yine, şimdiye kadar gördüğünüz özelliklerin aynısına sahip olursunuz:

* Harika editör desteği.
* Gelen request'lerden veri dönüştürme.
* response verileri için veri dönüştürme.
* Veri doğrulama.

    // Avoid expectEquals() here to delay reason manufacture until necessary.
    if (getList().size() != expectedList.size()) {
      fail("size mismatch: " + reportContext(expectedList));
    }
    for (int i = 0; i < expectedList.size(); i++) {
      E expected = expectedList.get(i);
      E actual = getList().get(i);
      if (expected != actual && (expected == null || !expected.equals(actual))) {

    assertThat(func.toString()).isEqualTo(toString);
    assertEquals(value, func.hashBytes(bytes).padToLong());
  }

  private static void assertHash32(
      int expected, ImmutableSupplier<Checksum> supplier, String input) {
    byte[] bytes = HashTestUtils.ascii(input);
    String toString = "name";
    HashFunction func = new ChecksumHashFunction(supplier, 32, toString);

{* ../../docs_src/debugging/tutorial001_py310.py hl[1,15] *}

### Über `__name__ == "__main__"` { #about-name-main }

Der Hauptzweck von `__name__ == "__main__"` ist, dass Code ausgeführt wird, wenn Ihre Datei mit folgendem Befehl aufgerufen wird:

<div class="termy">

```console
$ python myapp.py
```

</div>

# Дополнительные типы данных { #extra-data-types }

До сих пор вы использовали простые типы данных, такие как:

* `int`
* `float`
* `str`
* `bool`

Но вы также можете использовать и более сложные типы.

При этом у вас останутся те же возможности, что и до сих пор:

* Отличная поддержка редактора кода.
* Преобразование данных из входящих запросов.
* Преобразование данных для ответа.
* Валидация данных.

from pydantic import BaseModel


class Model1(BaseModel):
    foo: str
    bar: str


class Model2(BaseModel):
    ref: Model1
    baz: str


class Model3(BaseModel):
    name: str
    age: int
    ref2: Model2


app = FastAPI()


@app.get(
    "/simple_include",
    response_model=Model2,
    response_model_include={"baz": ..., "ref": {"foo"}},
)
def simple_include():

    /**
     * Default constructor.
     */
    public JobHelper() {
        // Default constructor
    }

    /** Monitor interval in seconds (default: 1 hour) */
    protected int monitorInterval = 60 * 60;// 1hour

    /** Thread-local storage for job runtime information */
    protected ThreadLocal<LaJobRuntime> jobRuntimeLocal = new ThreadLocal<>();

    /**

    }

    private static class ExecResult {
        private final String[] args;
        private final int code;
        private final String stdout;
        private final String stderr;

        public ExecResult(String[] args, int code, String stdout, String stderr) {
            this.args = args;
            this.code = code;
            this.stdout = stdout;