import org.apache.maven.lifecycle.internal.ProjectBuildList;
import org.apache.maven.lifecycle.internal.ProjectSegment;
import org.apache.maven.lifecycle.internal.Task;
import org.apache.maven.model.InputLocation;
import org.apache.maven.model.InputSource;
import org.apache.maven.model.Plugin;
import org.apache.maven.plugin.InvalidPluginDescriptorException;
import org.apache.maven.plugin.MojoExecution;
import org.apache.maven.plugin.MojoNotFoundException;

 *
 * <h3>Upgrade Strategies</h3>
 * <p>The tool uses a strategy pattern to handle different types of upgrades:</p>
 * <ul>
 *   <li>{@link org.apache.maven.cling.invoker.mvnup.goals.ModelUpgradeStrategy} - Upgrades POM model versions (4.0.0 → 4.1.0)</li>
 *   <li>{@link org.apache.maven.cling.invoker.mvnup.goals.PluginUpgradeStrategy} - Upgrades plugin versions for Maven 4 compatibility</li>

        value: Union[str, Missing] = Missing()

    class Model(BaseModel):
        model_config = ConfigDict(
            arbitrary_types_allowed=True,
        )
        value: Union[str, Missing] = Missing()
        embedded_model: EmbeddedModel = EmbeddedModel()

    @app.post("/")
    def foo(req: Model) -> dict[str, Union[str, None]]:
        return {
            "value": req.value or None,

Muchos paquetes que lo simplifican tienen que hacer muchos compromisos con el modelo de datos, la base de datos y las funcionalidades disponibles. Y algunos de estos paquetes que simplifican las cosas demasiado en realidad tienen fallos de seguridad en el fondo.

---

**FastAPI** no hace ningún compromiso con ninguna base de datos, modelo de datos o herramienta.

import javax.inject.Named;
import javax.inject.Singleton;

import java.util.HashMap;
import java.util.Map;

import org.apache.maven.execution.MavenSession;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginManagement;
import org.apache.maven.plugin.version.DefaultPluginVersionRequest;
import org.apache.maven.plugin.version.PluginVersionRequest;

    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    @Test
    void testDependencyManagement() throws Exception {

    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    @Test

import org.apache.maven.api.annotations.Nullable;
import org.apache.maven.api.services.Interpolator;
import org.apache.maven.api.services.model.RootLocator;
import org.apache.maven.cling.logging.Slf4jConfiguration;
import org.apache.maven.execution.MavenExecutionRequest;
import org.apache.maven.impl.model.DefaultInterpolator;
import org.codehaus.plexus.logging.Logger;

import static java.util.Objects.requireNonNull;

/**

    }

    private
    fun toCategory(version: String, gradleModule: String) = when {
        gradleModule.endsWith("-native") || gradleModule in listOf("model-core", "platform-base", "testing-base") -> "Software Model and Native"
        else -> "Incubating since $version"
    }

    private
    fun generateHtmlReport(data: Map<String, ProjectNameToProblems>) {

       * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).