* KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.plugin.annotations;

import java.lang.annotation.Documented;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

     *
     * <ul>
     *   <li>If {@link #MODULES} path type is also set, then the dependency can be placed either on the
     *       class path or on the module path, but only one of those. The choice is up to the plugin,
     *       possibly using heuristic rules (Maven 3 behavior).</li>
     *   <li>If a {@link #patchModule(String)} is also set and the main JAR file is placed on the module path,

/// tip | 팁

만약 <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>를 편집기로 사용한다면, <a href="https://github.com/koxudaxi/pydantic-pycharm-plugin/" class="external-link" target="_blank">Pydantic PyCharm Plugin</a>을 사용할 수 있습니다.

다음 사항을 포함해 Pydantic 모델에 대한 편집기 지원을 향상시킵니다:

* 자동 완성
* 타입 확인
* 리팩토링
* 검색
* 점검

///

## 모델 사용하기

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;
import org.apache.maven.repository.legacy.LegacyRepositorySystem;
import org.codehaus.plexus.PlexusContainer;

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.plugin;

import java.util.function.Supplier;

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Provider;

/**

Veamos cómo podemos hacer que esto funcione.

## pytest.mark.anyio

Si queremos llamar funciones asíncronas en nuestros tests, nuestras funciones de test tienen que ser asíncronas. AnyIO proporciona un plugin útil para esto, que nos permite especificar que algunas funciones de test deben ser llamadas de manera asíncrona.

## HTTPX

        String arg0 = "plugin-name";
        FessMessages result = messages.addSuccessInstallPlugin(property, arg0);
        assertNotNull(result);
        assertSame(messages, result);
        assertTrue(messages.hasMessageOf(property));
    }

    public void test_addSuccessDeletePlugin() {
        String property = "testProperty";
        String arg0 = "plugin-name";

  }
  delete[] shape_list_array;
}

namespace tensorflow {
absl::Status TF_TensorToTensor(const TF_Tensor* src, Tensor* dst);

// Helpers for loadding a TensorFlow PluggableDevice plugin (a .so file).
absl::Status LoadPluggableDeviceLibrary(const char* library_filename,
                                        void** result);
}  // namespace tensorflow

Let's look at how we can make that work.

## pytest.mark.anyio { #pytest-mark-anyio }

If we want to call asynchronous functions in our tests, our test functions have to be asynchronous. AnyIO provides a neat plugin for this, that allows us to specify that some test functions are to be called asynchronously.

## HTTPX { #httpx }

Schauen wir uns an, wie wir das machen können.

## pytest.mark.anyio

Wenn wir in unseren Tests asynchrone Funktionen aufrufen möchten, müssen unsere Testfunktionen asynchron sein. AnyIO stellt hierfür ein nettes Plugin zur Verfügung, mit dem wir festlegen können, dass einige Testfunktionen asynchron aufgerufen werden sollen.

## HTTPX