List<Object> equalArgs = new ArrayList<>(args);
    for (int i = 0; i < args.size(); i++) {
      Parameter param = params.get(i);
      Object arg = args.get(i);
      // Use new fresh value generator because 'args' were populated with new fresh generator each.
      // Two newFreshValueGenerator() instances should normally generate equal value sequence.
      Object shouldBeEqualArg = generateDummyArg(param, newFreshValueGenerator());

   * other utilities in this package.
   *
   * <p><b>Note:</b> this method simply delegates to the JDK method {@link Float#compare}. It is
   * provided for consistency with the other primitive types, whose compare methods were not added
   * to the JDK until JDK 7.
   *
   * @param a the first {@code float} to compare
   * @param b the second {@code float} to compare
   * @return the result of invoking {@link Float#compare(float, float)}
   */

   * absent, it will fall back to a heavyweight operation that will open a stream, read (or {@link
   * InputStream#skip(long) skip}, if possible) to the end of the stream and return the total number
   * of bytes that were read.
   *
   * <p>Note that for some sources that implement {@link #sizeIfKnown} to provide a more efficient
   * implementation, it is <i>possible</i> that this method will return a different number of bytes

* Crea un archivo vacío `__init__.py`.
* Crea un archivo `main.py` con:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

* Erstellen Sie eine `main.py`-Datei mit:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

* Fix system container detection in kubelet on systemd. ([#26586](https://github.com/kubernetes/kubernetes/pull/26586), [@derekwaynecarr](https://github.com/derekwaynecarr))
    * This fixed environments where CPU and Memory Accounting were not enabled on the unit that launched the kubelet or docker from reporting the root cgroup when monitoring usage stats for those components.

* Створіть порожній файл `__init__.py`.
* Створіть файл `main.py` з вмістом:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

```

///

## 프로그램 실행 { #run-your-program }

가상 환경을 활성화한 뒤에는 프로그램을 실행할 수 있으며, 설치한 패키지가 들어있는 가상 환경 내부의 Python을 사용하게 됩니다.

<div class="termy">

```console
$ python main.py

Hello World
```

</div>

## 에디터 설정 { #configure-your-editor }

아마 에디터를 사용할 텐데, 자동 완성과 인라인 오류 표시를 받을 수 있도록 생성한 가상 환경을 사용하도록 설정하세요(대부분 자동 감지합니다).

예를 들면:

* Crie um arquivo vazio `__init__.py`.
* Crie um arquivo `main.py` com:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

- Fixed vSphere cloud provider not to skip detach volumes from nodes at k...