void TF_ImportGraphDefResultsReturnOutputs(TF_ImportGraphDefResults* results,
                                           int* num_outputs,
                                           TF_Output** outputs) {
  *num_outputs = results->return_tensors.size();
  *outputs = results->return_tensors.data();
}

void TF_ImportGraphDefResultsReturnOperations(TF_ImportGraphDefResults* results,
                                              int* num_opers,

If you are using third party libraries that tell you to call them with `await`, like:

```Python
results = await some_library()
```

Then, declare your *path operation functions* with `async def` like:

```Python hl_lines="2"
@app.get('/')
async def read_results():
    results = await some_library()
    return results
```

/// note

You can only use `await` inside of functions created with `async def`.

///

import org.opensearch.search.aggregations.bucket.filter.Filter;
import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**

        // Test getAccessResultList with callback
        final List<OpenSearchAccessResult> results = dataService.getAccessResultList(builder -> {
            builder.setQuery(QueryBuilders.termQuery("sessionId", sessionId));
            builder.setSize(10);
        });

        assertNotNull(results);
        assertEquals(5, results.size());

        // Verify fields are properly fetched

* `compresslevel` - Used during GZip compression. It is an integer ranging from 1 to 9. Defaults to `9`. Lower value results in faster compression but larger file sizes, while higher value results in slower compression but smaller file sizes.

## Other middlewares { #other-middlewares }

There are many other ASGI middlewares.

For example:

	}

	for _, value := range values {
		if v, ok := value.(string); ok {
			results = append(results, v)
		} else {
			parseDependence(value, true)
		}
	}

	for _, name := range modelNames {
		insertIntoOrderedList(name)
	}

	for _, name := range orderedModelNames {
		results = append(results, valuesMap[name].Statement.Dest)
	}
	return
}

                searchResult = searchWithQueryAndMetadata(query, safeFields, safeExtraQueries);

                // Fallback: regenerate query if no results
                if (searchResult.getDocuments().isEmpty()) {
                    logger.info("[RAG] Primary search returned 0 results, regenerating query. originalQuery={}", query);
                    final String newQuery = llmClientManager.regenerateQuery(userMessage, query, "no_results", history);

        });
    }

    /**
     * Sets up pagination data for the web authentication search results.
     * Registers web authentication items and determines if the create link should be displayed.
     *
     * @param data the render data to populate with search results
     * @param form the search form containing filter criteria
     */

            // The response is the second argument
            Object response = invocation.getArgument(1);
            // Return it unchanged (which will have default values = empty results)
            return response;
        });

        // When: Create iterator
        NetServerEnumIterator iterator = new NetServerEnumIterator(parent, treeHandle, "*", 0, null);

    ArrayList<ListenableFuture<@Nullable Void>> results = new ArrayList<>(50_001);
    results.add(serializer.submitAsync(() -> settableFuture, directExecutor()));
    for (int i = 0; i < 50_000; i++) {
      results.add(serializer.submit(Callables.returning(null), directExecutor()));
    }
    settableFuture.set(null);
    getDone(allAsList(results));
  }