import org.apache.maven.model.Model;
import org.eclipse.aether.artifact.Artifact;
import org.eclipse.aether.repository.WorkspaceReader;

/**
 * MavenWorkspaceReader
 *
 * @deprecated since 4.0.0, use {@code maven-api-impl} jar instead
 */
@Deprecated(since = "4.0.0")
public interface MavenWorkspaceReader extends WorkspaceReader {

    Model findModel(Artifact artifact);

        <artifactId>modello-maven-plugin</artifactId>
        <configuration>
          <version>1.2.0</version>
          <models>
            <model>src/main/mdo/core-extensions.mdo</model>
          </models>
          <templates>
            <template>model.vm</template>
          </templates>
          <params>
            <param>locationTracking=true</param>
            <param>generateLocationClasses=true</param>

* the shutdown event
* the lifespan event

* the handler
* the event handler
* the exception handler
* to handle

* the model
* the Pydantic model
* the data model
* the database model
* the form model
* the model object

* the class
* the base class
* the parent class
* the subclass
* the child class
* the sibling class
* the class method

public interface Toolchain {
    /**
     * Gets the type of toolchain.
     *
     * @return the toolchain type
     */
    String getType();

    /**
     * Gets the underlying toolchain model.
     *
     * @return the toolchain model
     */
    ToolchainModel getModel();

    /**
     * Gets the platform tool executable.
     *
     * @param toolName the tool platform independent tool name

        value: str | Missing = Missing()

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

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

"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->

<model xmlns="http://modello.codehaus.org/MODELLO/1.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://modello.codehaus.org/MODELLO/1.0.0 http://modello.codehaus.org/xsd/modello-1.0.0.xsd"

       * 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).
   

 * under the License.
 */
package org.apache.maven.model.building;

import java.io.File;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Properties;

import org.apache.maven.model.Model;
import org.apache.maven.model.Profile;
import org.apache.maven.model.resolution.ModelResolver;
import org.apache.maven.model.resolution.WorkspaceModelResolver;

/**

        checkGoal = new Check(orchestrator);
    }

    @Nested
    @DisplayName("Model Version Upgrade")
    class ModelVersionUpgradeTests {

        @Test
        @DisplayName("should upgrade from 4.0.0 to 4.1.0 with --model option")
        void shouldUpgradeModelVersionWith41Option() throws Exception {
            // Create a test POM with 4.0.0 model version
            Path pomFile = tempDir.resolve("pom.xml");

#   hard - Strong reference (stays in memory, faster access)
#   soft - Weak reference (can be garbage collected under memory pressure)
#
# CONFIGURATION BREAKDOWN:
#   SourceCacheKey                   - File and RAW model requests (session/hard for consistent file access)
#   DefaultArtifactResolverRequest   - Artifact resolution results (session/hard to avoid re-resolving)