*
 * <p>This factory is typically initialized through dependency injection and can be
 * configured with initialization parameters that are passed to all registered clients.</p>
 *
 * <p>Features:</p>
 * <ul>
 *   <li>Pattern-based client mapping</li>
 *   <li>Ordered client registration</li>
 *   <li>Bulk client registration</li>
 *   <li>Automatic client initialization</li>

    val functionalTests: List<OsAwareBaseGradleBuildType>

    val crossVersionTests: List<OsAwareBaseGradleBuildType>

    val docsTestTriggers: List<OsAwareBaseGradleBuildType>

    init {
        features {
            buildReportTab("Problems Report", "problems-report.html")
            if (stage.specificBuilds.contains(SpecificBuild.SanityCheck)) {
                buildReportTab(
                    "API Compatibility Report",

///

This is a very simple and short tutorial, if you want to learn about databases in general, about SQL, or more advanced features, go to the <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel docs</a>.

## Install `SQLModel` { #install-sqlmodel }

import com.google.common.collect.testing.ListTestSuiteBuilder;
import com.google.common.collect.testing.SetTestSuiteBuilder;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.collect.testing.google.SetGenerators.DegeneratedImmutableSetGenerator;

import com.google.common.collect.testing.SetTestSuiteBuilder;
import com.google.common.collect.testing.TestStringSetGenerator;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.collect.testing.google.SetGenerators.DegeneratedImmutableSetGenerator;

                param("performance.db.username", "tcagent")
                param("env.PERFORMANCE_CHANNEL", performanceTestSpec.channel())
            }

            features {
                publishBuildStatusToGithub(model)
            }

            val performanceResultsDir = "perf-results"
            val performanceProjectName = "performance"

            val taskName =

// the integer type used to store each numeric field
// (where timestamps are stored as the number of seconds since the Unix epoch).
//
// The table's lower portion shows specialized features of each format,
// such as supported string encodings, support for sub-second timestamps,
// or support for sparse files.
//
// The Writer currently provides no support for sparse files.
type Format int

## 0.75.0

### Features

* ✨ Add support for custom `generate_unique_id_function` and docs for generating clients. New docs: [Advanced - Generate Clients](https://fastapi.tiangolo.com/advanced/generate-clients/). PR [#4650](https://github.com/tiangolo/fastapi/pull/4650) by [@tiangolo](https://github.com/tiangolo).

## 0.74.1

### Features

     * This method searches for 'fess_ds++.xml' configuration files within JAR files
     * in the data store plugin directory and extracts component class names.
     *
     * <p>The method uses secure XML parsing features to prevent XXE attacks and
     * other XML-based vulnerabilities. Component class names are extracted from
     * the 'class' attribute of 'component' elements in the XML files.</p>
     *

You can use the Select API to query objects with following features:

- Objects must be in CSV, JSON, or Parquet(*) format.
- UTF-8 is the only encoding type the Select API supports.