if (exists) {
            queryBuf.append(')');
        }
    }

    /**
     * Builds the base query string from search parameters.
     * Handles both condition-based queries and simple text queries, including related query expansion.
     *
     * @return the base query string
     */
    protected String buildBaseQuery() {
        final StringBuilder queryBuf = new StringBuilder(255);

        new LinkedBlockingDeque<Object>(10),
        new PriorityBlockingQueue<Object>(10, Ordering.arbitrary()));
  }

  /*
   * We need to perform operations in a thread pool, even for simple cases, because the queue might
   * be a SynchronousQueue.
   */
  private ExecutorService threadPool;

  @Override
  public void setUp() {
    threadPool = newCachedThreadPool();
  }

  @Override

### 3.1 Use `certgen` to Generate a Certificate

Download [`certgen`](https://github.com/minio/certgen/releases/latest) for your specific operating system and platform.

`certgen` is a simple *Go* tool to generate self-signed certificates, and provides SAN certificates with DNS and IP entries:

```sh
./certgen -host "10.10.0.3,10.10.0.4,10.10.0.5"
```

A response similar to this one should be displayed:

import org.opensearch.search.aggregations.bucket.range.DateRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

        assertTrue(result.contains(Hexdump.toHexString(TEST_INFO_LEVEL, 3)));
    }

    @Test
    void testToStringWithDifferentPaths() {
        // Test with various path formats
        String[] testPaths = { "simple.txt", "path/to/file.doc", "//server/share/file.txt", "folder\\windows\\style.txt", "" // empty path
        };

        for (String path : testPaths) {

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

With **FastAPI** you have the maximum flexibility provided by Pydantic models, while keeping your code simple, short and elegant.

But with all the benefits:

* Editor support (completion everywhere!)
* Data conversion (a.k.a. parsing / serialization)
* Data validation
* Schema documentation

        assertNotNull(handle);
        verify(mockDcerpcHandle, times(1)).sendrecv(any(MsrpcLsarOpenPolicy2.class));
        // We cannot directly assert the 'opened' field as it's private, but successful construction implies it.
    }

    @Test
    void constructor_shouldHandleNullServerSuccessfully() throws IOException {
        // Arrange
        String server = null;
        int access = 123;

        doAnswer(invocation -> {

// given the size of the resource
func (h *HTTPRangeSpec) GetOffsetLength(resourceSize int64) (start, length int64, err error) {
	if h == nil {
		// No range specified, implies whole object.
		return 0, resourceSize, nil
	}

	length, err = h.GetLength(resourceSize)
	if err != nil {
		return 0, 0, err
	}

	start = h.Start
	if h.IsSuffixLength {

---

"_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"

But if you need to access variables and objects from the same **FastAPI** app, or you need to perform small background tasks (like sending an email notification), you can simply just use `BackgroundTasks`.

## Recap { #recap }