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

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

		}
		// In Kubernetes environment, try to fetch the Operator, VSPHERE plugin version
		opVersion := env.Get("MINIO_OPERATOR_VERSION", "")
		if opVersion != "" {
			uaAppend(" operator-", opVersion)
		}
		vsphereVersion := env.Get("MINIO_VSPHERE_PLUGIN_VERSION", "")
		if vsphereVersion != "" {
			uaAppend(" vsphere-plugin-", vsphereVersion)
		}
	}

	if IsPCFTile() {

* Fix issue where on re-registration of device plugin, `allocatable` was not getting updated. This issue makes devices invisible to the Kubelet if device plugin restarts. Only work-around, if this fix is not there, is to restart the kubelet and then start device plugin. ([#63118](https://github.com/kubernetes/kubernetes/pull/63118), [@vikaschoudhary16](https://github.com/vikaschoudhary16))

<img src="/img/tutorial/body/image05.png">

/// tip

🚥 👆 ⚙️ <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">🗒</a> 👆 👨‍🎨, 👆 💪 ⚙️ <a href="https://github.com/koxudaxi/pydantic-pycharm-plugin/" class="external-link" target="_blank">Pydantic 🗒 📁</a>.

⚫️ 📉 👨‍🎨 🐕‍🦺 Pydantic 🏷, ⏮️:

* 🚘-🛠️
* 🆎 ✅
* 🛠️
* 🔎
* 🔬

///

## ⚙️ 🏷

_current_module.__path__ = [_module_dir] + _current_module.__path__


# Enable TF2 behaviors
from tensorflow.python.compat import v2_compat as _compat
_compat.enable_v2_behavior()
_major_api_version = 2


# Load all plugin libraries from site-packages/tensorflow-plugins if we are
# running under pip.
# TODO(gunan): Find a better location for this code snippet.
from tensorflow.python.framework import load_library as _ll

- Scheduler: Add DefaultBinder plugin ([#87430](https://github.com/kubernetes/kubernetes/pull/87430), [@alculquicondor](https://github.com/alculquicondor)) [SIG Scheduling and Testing]

      --enable-gnu-indirect-function \
      --enable-gnu-unique-object \
      --enable-initfini-array \
      --enable-languages="c,c++" \
      --enable-linker-build-id \
      --enable-plugin \
      --enable-shared \
      --enable-threads=posix \
      --with-default-libstdcxx-abi=${LIBSTDCXX_ABI} \
      --with-gcc-major-version-only \
      --with-linker-hash-style="gnu" \