}()

        /**
         * The file in which we saw the last snippet that made a test.
         */
        Path lastDocsPath

        /**
         * The file we're building.
         */
        PrintWriter current

        /**
         * Files containing all snippets that *probably* should be converted
         * to `// CONSOLE` but have yet to be converted. All files are paths

import org.opensearch.search.sort.SortBuilders;
import org.opensearch.search.sort.SortOrder;

import jakarta.servlet.http.HttpServletRequest;
import jakarta.servlet.http.HttpSession;

/**
 * QueryHelper is responsible for building and managing OpenSearch queries for Fess search functionality.
 * It handles query construction, role-based access control, boost functions, sorting, and search preferences.

            }
        }
        return defaultValue;
    }

    /**
     * Gets the maximum characters for context building for a specific prompt type.
     * Each LlmClient implementation defines per-prompt-type defaults appropriate
     * for its target model.
     *
     * @param promptType the prompt type (e.g., "answer", "summary", "faq")

    // Attribute
    // =========

    /** Client for interacting with the search engine. */
    @Resource
    protected SearchEngineClient searchEngineClient;

    /** Helper for building and parsing search queries. */
    @Resource
    protected QueryHelper queryHelper;

    /** Helper for executing search operations. */
    @Resource
    protected SearchHelper searchHelper;

            # Pydantic >= 2.12.0 warns about field specific metadata that is unused
            # (e.g. `TypeAdapter(Annotated[int, Field(alias='b')])`). In some cases, we
            # end up building the type adapter from a model field annotation so we
            # need to ignore the warning:
            if shared.PYDANTIC_VERSION_MINOR_TUPLE >= (2, 12):

]

# List of files to configure when building Bazel on Apple platforms.
APPLE_BAZEL_FILES = [
    'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
    'tensorflow/lite/swift/BUILD',
    'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'
]

# List of files to move when building for iOS.
IOS_FILES = [
    'tensorflow/lite/objc/TensorFlowLiteObjC.podspec',

## Highlights

*   TF 2.0 delivers Keras as the central high level API used to build and train
    models. Keras provides several model-building APIs such as Sequential,
    Functional, and Subclassing along with eager execution, for immediate
    iteration and intuitive debugging, and `tf.data`, for building scalable
    input pipelines. Checkout
    [guide](https://www.tensorflow.org/beta/guide/keras/overview) for additional
    details.

./gradlew :distribution:archives:darwin-tar:assemble
./gradlew :distribution:archives:windows-zip:assemble
-----------------------------

=== Running Elasticsearch from a checkout

In order to run Elasticsearch from source without building a package, you can
run it using Gradle:

-------------------------------------
./gradlew run
-------------------------------------

==== Launching and debugging from an IDE

     * Applies filters based on the pager criteria such as ID and session ID,
     * and orders results by creation time in descending order.
     *
     * @param cb the condition bean for building the database query
     * @param crawlingInfoPager the pager containing filter criteria
     */
    protected void setupListCondition(final CrawlingInfoCB cb, final CrawlingInfoPager crawlingInfoPager) {

              <!--              <exclude>org.apache.maven.model.composition.DefaultDependencyManagementImporter#importManagement(org.apache.maven.model.Model,java.util.List,org.apache.maven.model.building.ModelBuildingRequest,org.apache.maven.model.building.ModelProblemCollector):METHOD_REMOVED</exclude>-->