}

    // Cause the rebuild action to fail.
    filesystem.setFaultyRename(
      cacheDir / DiskLruCache.JOURNAL_FILE_BACKUP,
      true,
    )
    taskFaker.runNextTask()

    // Trigger a job to trim the cache.
    cache.maxSize = 4
    taskFaker.runNextTask()
    assertAbsent("a")
    assertValue("b", "bb", "bb")
  }

  @ParameterizedTest

                throw new SmbException("Invalid operation for workgroups, servers, or shares");
            }

            if ( !sh.isSameTree(th) ) {
                // trigger requests to resolve the actual target
                exists();
                dest.exists();

  }

  public void testReloadAfterFailure() throws ExecutionException {
    final AtomicInteger count = new AtomicInteger();
    final Exception e = new IllegalStateException("exception to trigger failure on first load()");
    CacheLoader<Integer, String> failOnceFunction =
        new CacheLoader<Integer, String>() {

          @Override
          public String load(Integer key) throws Exception {

* Und die Datei `app/internal/admin.py` ist ein weiteres Submodul: `app.internal.admin`.

<img src="/img/tutorial/bigger-applications/package.svg">

Die gleiche Dateistruktur mit Kommentaren:

```
.
├── app                  # „app“ ist ein Python-Package
│   ├── __init__.py      # diese Datei macht „app“ zu einem „Python-Package“

  TFE_TensorHandle* retval[1] = {nullptr};
  int num_retvals = 1;
  TFE_Op* op = TFE_NewOp(ctx, "AddFunction", status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  // Add a config_proto attr, to trigger grappler graph rewrites in the current
  // eager runtime.
  if (enable_grappler) {
    tensorflow::ConfigProto config;
    // Do not skip grappler optimization even for small graphs.

# Bigger Applications - Multiple Files

If you are building an application or a web API, it's rarely the case that you can put everything in a single file.

**FastAPI** provides a convenience tool to structure your application while keeping all the flexibility.

/// info

If you come from Flask, this would be the equivalent of Flask's Blueprints.

///

## An example file structure

Let's say you have a file structure like this:

```

* 📤 📁 `app/internal/` ⏮️ ➕1️⃣ 📁 `__init__.py`, ⚫️ ➕1️⃣ "🐍 📦": `app.internal`.
*  & 📁 `app/internal/admin.py` ➕1️⃣ 🔁: `app.internal.admin`.

<img src="/img/tutorial/bigger-applications/package.svg">

🎏 📁 📊 ⏮️ 🏤:

```
.
├── app                  # "app" is a Python package
│   ├── __init__.py      # this file makes "app" a "Python package"

* Há também um subdiretório `app/internal/` com outro arquivo `__init__.py`, então ele é outro "subpacote Python":`app.internal`.
* E o arquivo `app/internal/admin.py` é outro submódulo: `app.internal.admin`.

<img src="/img/tutorial/bigger-applications/package.svg">

A mesma estrutura de arquivos com comentários:

```
.
├── app                  # "app" é um pacote Python
│   ├── __init__.py      # este arquivo torna "app" um "pacote Python"

* 还有一个子目录 `app/internal/` 包含另一个 `__init__.py` 文件，因此它是又一个「Python 子包」：`app.internal`。
* `app/internal/admin.py` 是另一个子模块：`app.internal.admin`。

<img src="https://fastapi.tiangolo.com/img/tutorial/bigger-applications/package.svg">

带有注释的同一文件结构：

```
.
├── app                  # 「app」是一个 Python 包
│   ├── __init__.py      # 这个文件使「app」成为一个 Python 包
│   ├── main.py          # 「main」模块，例如 import app.main

- Ensure Job status updates are batched by 1s. This fixes an unlikely scenario when a sequence of immediately 
  completing pods could trigger a sequence of non-batched Job status updates. ([#118470](https://github.com/kubernetes/kubernetes/pull/118470), [@mimowo](https://github.com/mimowo)) [SIG Apps]