* This involves merging plugins specified by the {@link org.apache.maven.api.Packaging},
     * configuration expansion (merging configuration defined globally for a given plugin
     * using {@link org.apache.maven.api.model.Plugin#getConfiguration()}
     * into the configuration for each {@link org.apache.maven.api.model.PluginExecution}.
     */
    boolean isProcessPlugins();

import java.util.Map;
import java.util.Set;
import java.util.function.Function;
import java.util.stream.Stream;

import org.apache.maven.api.Session;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.model.Prerequisites;
import org.apache.maven.api.model.Profile;
import org.apache.maven.api.services.Lookup;
import org.apache.maven.api.services.LookupException;
import org.apache.maven.artifact.ArtifactUtils;

import gradlebuild.binarycompatibility.isSynthetic
import gradlebuild.binarycompatibility.metadata.KotlinMetadataQueries
import japicmp.model.JApiClass
import japicmp.model.JApiCompatibility
import japicmp.model.JApiConstructor
import japicmp.model.JApiField
import japicmp.model.JApiMethod
import javassist.CtBehavior
import javassist.CtClass
import javassist.CtConstructor
import javassist.CtField
import javassist.CtMember

	tx.Logger = currentLogger
	return
}

// Pluck queries a single column from a model, returning in the slice dest. E.g.:
//
//	var ages []int64
//	db.Model(&users).Pluck("age", &ages)
func (db *DB) Pluck(column string, dest interface{}) (tx *DB) {
	tx = db.getInstance()
	if tx.Statement.Model != nil {
		if tx.Statement.Parse(tx.Statement.Model) == nil {
			if f := tx.Statement.Schema.LookUpField(column); f != nil {

    <exportedArtifact>org.apache.maven:maven-lifecycle</exportedArtifact>
    <exportedArtifact>org.apache.maven:maven-model</exportedArtifact>
    <exportedArtifact>org.apache.maven:maven-model-builder</exportedArtifact>
    <exportedArtifact>org.apache.maven:maven-monitor</exportedArtifact>
    <exportedArtifact>org.apache.maven:maven-plugin-api</exportedArtifact>

    ```Python hl_lines="9"
    {!> ../../../docs_src/settings/app03_an/config.py!}
    ```

    !!! tip
        The `model_config` attribute is used just for Pydantic configuration. You can read more at <a href="https://docs.pydantic.dev/latest/usage/model_config/" class="external-link" target="_blank">Pydantic Model Config</a>.

=== "Pydantic v1"

    ```Python hl_lines="9-10"
    {!> ../../../docs_src/settings/app03_an/config_pv1.py!}

    def __init__(
        self,
        *,
        scheme: str,
        scheme_name: Optional[str] = None,
        description: Optional[str] = None,
        auto_error: bool = True,
    ):
        self.model = HTTPBaseModel(scheme=scheme, description=description)
        self.scheme_name = scheme_name or self.__class__.__name__
        self.auto_error = auto_error

    async def __call__(
        self, request: Request

</p>

<h2 id="model">Memory Model</h2>

<p>
The following formal definition of Go's memory model closely follows
the approach presented by Hans-J. Boehm and Sarita V. Adve in
“<a href="https://www.hpl.hp.com/techreports/2008/HPL-2008-56.pdf">Foundations of the C++ Concurrency Memory Model</a>”,
published in PLDI 2008.

import org.apache.maven.api.Session;
import org.apache.maven.api.Type;
import org.apache.maven.api.Version;
import org.apache.maven.api.di.Provides;
import org.apache.maven.api.model.PluginContainer;
import org.apache.maven.api.model.Profile;
import org.apache.maven.api.services.ArtifactManager;
import org.apache.maven.api.services.LifecycleRegistry;
import org.apache.maven.api.services.Lookup;

    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "model_attributes_type",
                    "loc": ["body"],
                    "msg": "Input should be a valid dictionary or object to extract fields from",
                    "input": "name=Foo&price=50.5",
                }