return new SampleElements<>(
          mapEntry("foo", 5),
          mapEntry("bar", 3),
          mapEntry("baz", 17),
          mapEntry("quux", 1),
          mapEntry("toaster", -2));
    }

    @SuppressWarnings("unchecked")
    @Override
    public Entry<String, Integer>[] createArray(int length) {
      return (Entry<String, Integer>[]) new Entry<?, ?>[length];
    }

      return new SampleElements<>(
          mapEntry("foo", 5),
          mapEntry("bar", 3),
          mapEntry("baz", 17),
          mapEntry("quux", 1),
          mapEntry("toaster", -2));
    }

    @SuppressWarnings("unchecked")
    @Override
    public Entry<String, Integer>[] createArray(int length) {
      return (Entry<String, Integer>[]) new Entry<?, ?>[length];
    }

3. Ensure you have added or ran the appropriate tests for your PR: https://git.k8s.io/community/contributors/devel/sig-testing/testing.md
4. If you want *faster* PR reviews, read how: https://git.k8s.io/community/contributors/guide/pull-requests.md#best-practices-for-faster-reviews
5. If the PR is unfinished, see how to mark it: https://git.k8s.io/community/contributors/guide/pull-requests.md#marking-unfinished-pull-requests
-->

## Other middlewares { #other-middlewares }

There are many other ASGI middlewares.

For example:

* [Uvicorn's `ProxyHeadersMiddleware`](https://github.com/encode/uvicorn/blob/master/uvicorn/middleware/proxy_headers.py)

 [conscrypt]: https://github.com/google/conscrypt/
 [get_example]: https://raw.github.com/square/okhttp/master/samples/guide/src/main/java/okhttp3/guide/GetExample.java
 [kotlin]: https://kotlinlang.org/
 [okhttp3_pro]: https://raw.githubusercontent.com/square/okhttp/master/okhttp/src/main/resources/META-INF/proguard/okhttp3.pro
 [okhttp]: https://square.github.io/okhttp/

#### LLM Prompt per Language

Each language has a directory: [https://github.com/fastapi/fastapi/tree/master/docs](https://github.com/fastapi/fastapi/tree/master/docs), in it you can see a file `llm-prompt.md` with the prompt specific for that language.

For example, for Spanish, the prompt is at: [`docs/es/llm-prompt.md`](https://github.com/fastapi/fastapi/blob/master/docs/es/llm-prompt.md).

        String result = scoreUpdater.execute();
        assertEquals("", result);
    }

    // Test execute with single booster
    @Test
    public void test_execute_singleBooster() {
        TestScoreBooster booster = new TestScoreBooster(100L);
        scoreUpdater.addScoreBooster(booster);

        String result = scoreUpdater.execute();
        assertTrue(result.contains("TestScoreBooster : 100"));
    }

# their dependencies. It's a rewritten version of the "smoke test", an older
# Python script that was very difficult to understand. See
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/pip_package/pip_smoke_test.py
@test "Pip package includes all required //tensorflow dependencies" {
  # grep patterns for packages whose dependencies can be ignored

  }

  public void testChecksForNull() throws Exception {
    NullPointerTester tester = new NullPointerTester();
    tester.testAllPublicInstanceMethods(
        new HashingOutputStream(sha512(), new ByteArrayOutputStream()));
    tester.testAllPublicStaticMethods(HashingOutputStream.class);
    tester.testAllPublicConstructors(HashingOutputStream.class);
  }

            } catch (final Exception e) {
                logger.warn("Failed to update scores: booster={}", b.getClass().getSimpleName(), e);
                resultBuf.append(e.getMessage()).append('\n');
            }
        });
        return resultBuf.toString();
    }

    /**
     * Adds a score booster.
     * @param scoreBooster The score booster.
     */
    protected void addScoreBooster(final ScoreBooster scoreBooster) {