protected String component() {
        return "deployer";
    }

    @Test
    void testArtifactInstallation() throws Exception {
        sessionScope.enter();
        try {
            sessionScope.seed(MavenSession.class, mock(MavenSession.class));

            String artifactBasedir = new File(getBasedir(), "src/test/resources/artifact-install").getAbsolutePath();

        assertTrue(protocolHelper.isValidFileProtocol("s3://123bucket/path"));
        assertTrue(protocolHelper.isValidFileProtocol("s3://bucket/path/to/deep/nested/file.txt"));
        assertTrue(protocolHelper.isValidFileProtocol("s3://bucket/path/ファイル.txt"));
        assertTrue(protocolHelper.isValidFileProtocol("s3://bucket/path/file%20with%20spaces.txt"));

        // GCS URLs

  public void testLog10MatchesBigInteger() {
    for (int x : POSITIVE_INTEGER_CANDIDATES) {
      for (RoundingMode mode : ALL_SAFE_ROUNDING_MODES) {
        // The BigInteger implementation is tested separately, use it as the reference.
        assertEquals(BigIntegerMath.log10(valueOf(x), mode), IntMath.log10(x, mode));
      }
    }
  }

  // Relies on the correctness of log10(int, FLOOR) and of pow(int, int).

# Bases de Datos SQL (Relacionales) { #sql-relational-databases }

**FastAPI** no requiere que uses una base de datos SQL (relacional). Pero puedes utilizar **cualquier base de datos** que desees.

Aquí veremos un ejemplo usando [SQLModel](https://sqlmodel.tiangolo.com/).

import org.gradle.api.file.FileTree;
import org.gradle.api.model.ObjectFactory;
import org.gradle.api.tasks.Input;
import org.gradle.api.tasks.InputFiles;
import org.gradle.api.tasks.Internal;
import org.gradle.api.tasks.Nested;
import org.gradle.api.tasks.OutputDirectory;
import org.gradle.api.tasks.SkipWhenEmpty;
import org.gradle.api.tasks.TaskAction;
import org.gradle.api.tasks.util.PatternFilterable;
import org.gradle.api.tasks.util.PatternSet;

<img src="/img/tutorial/additional-responses/image01.png">

## Combina responses predefinidos y personalizados { #combine-predefined-responses-and-custom-ones }

Es posible que desees tener algunos responses predefinidos que se apliquen a muchas *path operations*, pero que quieras combinarlos con responses personalizados necesarios por cada *path operation*.

    "docs_src/dependencies/tutorial013_an_py310.py",  # temporary code example?
    "docs_src/dependencies/tutorial014_an_py310.py",  # temporary code example?
    # Pydantic v1 migration, no longer tested
    "docs_src/pydantic_v1_in_v2/tutorial001_an_py310.py",
    "docs_src/pydantic_v1_in_v2/tutorial002_an_py310.py",
    "docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py",

    /** The search engine client for interacting with OpenSearch. */
    @Resource
    public SearchEngineClient searchEngineClient;

    /**
     * A nested class for parsing command-line options.
     */
    protected static class Options {
        /** The session ID for the suggest creation process. */

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

And it was thoroughly tested at the design phase, before any implementation, to ensure it would work with all the editors.

There were even some changes to Pydantic itself to support this.

    LoadingCache<String, String> cache =
        CacheBuilder.newBuilder()
            .concurrencyLevel(1)
            .removalListener(listener)
            .build(computingFunction);

    // seed the map, so its segment's count > 0
    cache.getUnchecked("a");
    shouldWait.set(true);

    CountDownLatch computationStarted = new CountDownLatch(1);
    CountDownLatch computationComplete = new CountDownLatch(1);