# 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):

            int totalProblems = toolchainsResult.getProblems().totalProblemsReported();
            context.logger.info("");
            context.logger.info(String.format(
                    "%s %s encountered while building the effective toolchains (use -e to see details)",
                    totalProblems, (totalProblems == 1) ? "problem was" : "problems were"));

            if (context.options().showErrors().orElse(false)) {

 * For 4.0.0 models: applies limited inference (parent-related only).
 * For 4.1.0+ models: applies full inference optimizations.
 * Removes redundant information that can be inferred by Maven during model building.
 */
@Named
@Singleton
@Priority(30)
public class InferenceStrategy extends AbstractUpgradeStrategy {

    @Override
    public boolean isApplicable(UpgradeContext context) {

    // 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;

# Bigger Applications - Multiple Files { #bigger-applications-multiple-files }

If you are building an application or a web API, it's rarely the case that you can put everything in a single file.

**FastAPI** provides a convenience tool to structure your application while keeping all the flexibility.

/// info

If you come from Flask, this would be the equivalent of Flask's Blueprints.

///

## An example file structure { #an-example-file-structure }

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.

     * 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) {

]

# 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.

 * {@code 0x7F}), and to strings containing such characters.
 *
 * <p>ASCII utilities also exist in other classes of this package:
 *
 * <ul>
 *   <!-- TODO(kevinb): how can we make this not produce a warning when building gwt javadoc? -->
 *   <li>{@link StandardCharsets#US_ASCII} specifies the {@code Charset} of ASCII characters.
 *   <li>{@link CharMatcher#ascii} matches ASCII characters and provides text processing methods