* 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).
   

import org.apache.maven.impl.InternalSession;
import org.apache.maven.impl.cache.DefaultRequestCacheFactory;
import org.apache.maven.internal.impl.DefaultSession;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.Repository;
import org.apache.maven.model.RepositoryPolicy;
import org.apache.maven.plugin.LegacySupport;
import org.apache.maven.project.artifact.DefaultMetadataSource;

{*../../docs_src/python_types/tutorial010.py hl[6] *}

Et vous aurez accès, encore une fois, au support complet offert par l'éditeur :

<img src="/img/python-types/image06.png">

## Les modèles Pydantic

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> est une bibliothèque Python pour effectuer de la validation de données.

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"
  xml.namespace="http://maven.apache.org/PARAMDOC/${version}"

import io.mockk.mockk
import io.mockk.slot
import jetbrains.buildServer.configs.kotlin.BuildStep
import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.DslContext
import model.CIBuildModel
import model.JsonBasedGradleSubprojectProvider
import org.junit.jupiter.api.Assertions.assertEquals
import org.junit.jupiter.api.BeforeEach
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.ExtendWith

import org.gradle.api.tasks.PathSensitivity
import org.gradle.api.tasks.TaskAction
import gradlebuild.docs.dsl.links.ClassLinkMetaData
import gradlebuild.docs.dsl.links.LinkMetaData
import gradlebuild.docs.model.ClassMetaDataRepository
import gradlebuild.docs.model.SimpleClassMetaDataRepository
import org.w3c.dom.Document
import org.w3c.dom.Element
/**
 * Transforms userguide source into docbook, replacing custom XML elements.
 *

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package gradlebuild.docs.dsl.docbook.model

import gradlebuild.docs.dsl.source.model.ClassMetaData
import org.w3c.dom.Document
import org.w3c.dom.Element
import org.w3c.dom.Node

class ClassDoc implements DslElementDoc {
    private final String className

				t.Fatalf("errors happened when query: %v", err)
			} else {
				CheckUser(t, newUser, user)
			}
		}
	}
}

func TestCreateFromMap(t *testing.T) {
	if err := DB.Model(&User{}).Create(map[string]interface{}{"Name": "create_from_map", "Age": 18}).Error; err != nil {
		t.Fatalf("failed to create data from map, got error: %v", err)
	}

	var result User

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

    /**
     * How the test project is set up:
     *

import org.apache.maven.internal.impl.DefaultSession;
import org.apache.maven.internal.impl.DefaultSessionFactory;
import org.apache.maven.internal.impl.InternalMavenSession;
import org.apache.maven.model.building.ModelBuildingException;
import org.apache.maven.model.building.ModelProblem;
import org.apache.maven.session.scope.internal.SessionScope;
import org.codehaus.plexus.PlexusContainer;