assertThat(cache.asMap().containsKey(entry.getKey())).isTrue();
        assertThat(cache.asMap().containsValue(entry.getValue())).isTrue();
        // this getUnchecked() call shouldn't be a cache miss; verified below
        assertThat(cache.getUnchecked(entry.getKey())).isEqualTo(entry.getValue());
      }
      assertThat(cache.stats().missCount()).isEqualTo(WARMUP_SIZE);
      checkValidState(cache);
    }
  }

    implements TestSortedMapGenerator<String, String> {
  @Override
  public Entry<String, String> belowSamplesLesser() {
    return mapEntry("!! a", "below view");
  }

  @Override
  public Entry<String, String> belowSamplesGreater() {
    return mapEntry("!! b", "below view");
  }

  @Override
  public Entry<String, String> aboveSamplesLesser() {
    return mapEntry("~~ a", "above view");
  }

  @Override

    implements TestSortedMapGenerator<String, String> {
  @Override
  public Entry<String, String> belowSamplesLesser() {
    return mapEntry("!! a", "below view");
  }

  @Override
  public Entry<String, String> belowSamplesGreater() {
    return mapEntry("!! b", "below view");
  }

  @Override
  public Entry<String, String> aboveSamplesLesser() {
    return mapEntry("~~ a", "above view");
  }

  @Override

    // separate below
    IllegalArgumentException expected =
        assertThrows(IllegalArgumentException.class, () -> range.intersection(Range.closed(0, 2)));
    assertThat(expected).hasMessageThat().contains("connected");

    // adjacent below
    assertEquals(Range.closedOpen(4, 4), range.intersection(Range.closedOpen(2, 4)));

    // overlap below

        assertThat(cache.asMap().containsKey(entry.getKey())).isTrue();
        assertThat(cache.asMap().containsValue(entry.getValue())).isTrue();
        // this getUnchecked() call shouldn't be a cache miss; verified below
        assertThat(cache.getUnchecked(entry.getKey())).isEqualTo(entry.getValue());
      }
      assertThat(cache.stats().missCount()).isEqualTo(WARMUP_SIZE);
      checkValidState(cache);
    }
  }

You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).

A "decorator" takes the function below and does something with it.

In our case, this decorator tells **FastAPI** that the function below corresponds to the **path** `/` with an **operation** `get`.

It is the "**path operation decorator**".

///

You can also use the other operations:

* `@app.post()`

  - [Installing Spark](https://docs.hortonworks.com/HDPDocuments/HDP3/HDP-3.0.1/installing-spark/content/installing_spark.html)
- Install MinIO Distributed Server using one of the guides below.
  - [Deployment based on Kubernetes](https://docs.min.io/community/minio-object-store/operations/deployments/kubernetes.html)
  - [Deployment based on MinIO Helm Chart](https://github.com/helm/charts/tree/master/stable/minio)

Unlike most JSON parsers, `jstream` is document position- and depth-aware -- this enables the extraction of values at a specified depth, eliminating the overhead of allocating encompassing arrays or objects; e.g:

Using the below example document:
<img width="85%" src="https://bradley.codes/static/img/jstream-levels.gif" alt="jstream"/>

we can choose to extract and act only the objects within the top-level array:
```go
f, _ := os.Open("input.json")

-->

#### Special notes for your reviewer:

#### Does this PR introduce a user-facing change?
<!--
If no, just write "NONE" in the release-note block below.
If yes, a release note is required:
Enter your extended release note in the block below. If the PR requires additional action from users switching to the new release, include the string "action required".

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)