There was a table set out under a tree in front of the house,
and the March Hare and the Hatter were having tea at it:  a
Dormouse was sitting between them, fast asleep, and the other two
were using it as a cushion, resting their elbows on it, and talking
over its head.  `Very uncomfortable for the Dormouse,' thought Alice;
`only, as it's asleep, I suppose it doesn't mind.'

* **Intuitive**: Great editor support. <dfn title="also known as auto-complete, autocompletion, IntelliSense">Completion</dfn> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
* **Robust**: Get production-ready code. With automatic interactive documentation.

Після цього ми можемо перевірити, що саме він використовується.

## Читання файлу `.env` { #reading-a-env-file }

Якщо у вас багато налаштувань, які можуть часто змінюватися, можливо в різних оточеннях, може бути корисно розмістити їх у файлі, а потім зчитувати їх із нього так, ніби це змінні оточення.

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

在底层，`open("./somefile.txt")` 会创建一个“上下文管理器”对象。

当 `with` 代码块结束时，它会确保文件被关闭，即使期间发生了异常。

当你用 `yield` 创建一个依赖时，**FastAPI** 会在内部为它创建一个上下文管理器，并与其他相关工具结合使用。

### 在带有 `yield` 的依赖中使用上下文管理器 { #using-context-managers-in-dependencies-with-yield }

    partial batches. Workers running out of data now continue to participate in
    the training with empty inputs, instead of raising an error. Learn more
    about
    [partial batches here](https://www.tensorflow.org/tutorials/distribute/input#partial_batches).
*   Improve the performance of reading metrics eagerly under
    `tf.distribute.experimental.MultiWorkerMirroredStrategy`.

* **Intuitive**: Great editor support. <dfn title="also known as auto-complete, autocompletion, IntelliSense">Completion</dfn> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
* **Robust**: Get production-ready code. With automatic interactive documentation.

Nous pouvons ensuite tester qu'il est bien utilisé.

## Lire un fichier `.env` { #reading-a-env-file }

   * Reads all of the lines from a {@link Readable} object. The lines do not include
   * line-termination characters, but do include other leading and trailing whitespace.
   *
   * <p>Does not close the {@code Readable}. If reading files or resources you should use the {@link
   * Files#readLines} and {@link Resources#readLines} methods.
   *
   * <p>This method prioritizes convenience over performance: It reads the entire input into memory

Luego podemos probar que se está usando.

## Leer un archivo `.env` { #reading-a-env-file }

Si tienes muchas configuraciones que posiblemente cambien mucho, tal vez en diferentes entornos, podría ser útil ponerlos en un archivo y luego leerlos desde allí como si fueran variables de entorno.

	}
	return fi1.Size() == fi2.Size()
}

// DirectioAlignSize - DirectIO alignment needs to be 4K. Defined here as
// directio.AlignSize is defined as 0 in MacOS causing divide by 0 error.
const DirectioAlignSize = 4096

// CopyAligned - copies from reader to writer using the aligned input
// buffer, it is expected that input buffer is page aligned to
// 4K page boundaries. Without passing aligned buffer may cause