Manager: &User{
				Name: "Alexis Manager",
				Tools: []Tools{
					{Name: "Alexis Tool 1"},
					{Name: "Alexis Tool 2"},
				},
			},
		},
		{
			Name: "TestMergeNestedPreloadWithNestedJoin-2",
			Manager: &User{
				Name: "Jinzhu Manager",
				Tools: []Tools{
					{Name: "Jinzhu Tool 1"},
					{Name: "Jinzhu Tool 2"},
				},
			},
		},
	}

	DB.Create(&users)

}

@test "API compatibility test passes, ensuring no unexpected changes to the TF API" {
    bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test

 * {@code *} character has no special meaning as part of a parameter. All values for type, subtype,
 * parameter attributes or parameter values must be valid according to RFCs <a
 * href="https://tools.ietf.org/html/rfc2045">2045</a> and <a
 * href="https://tools.ietf.org/html/rfc2046">2046</a>.
 *
 * <p>All portions of the media type that are case-insensitive (type, subtype, parameter attributes)

## Previous tools { #previous-tools }

### <a href="https://www.djangoproject.com/" class="external-link" target="_blank">Django</a> { #django }

It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram.

**FastAPI** würde ohne die frühere Arbeit anderer nicht existieren.

Es wurden zuvor viele Tools entwickelt, die als Inspiration für seine Entwicklung dienten.

Ich habe die Schaffung eines neuen Frameworks viele Jahre lang vermieden. Zuerst habe ich versucht, alle von **FastAPI** abgedeckten Funktionen mithilfe vieler verschiedener Frameworks, Plugins und Tools zu lösen.

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

    /**
     * Gets the platform tool executable.
     *
     * @param toolName the tool platform independent tool name
     * @return file representing the tool executable, or null if the tool cannot be found
     */
    String findTool(String toolName);

    /**
     * Let the toolchain decide if it matches requirements defined

 *   <li>Master password management</li>
 *   <li>Security settings configuration</li>
 * </ul>
 *
 * @see org.apache.maven.api.cli.Tools#MVNENC_CMD
 * @see org.apache.maven.api.cli.Tools#MVNENC_NAME
 * @since 4.0.0
 */

 *   <li>Dependency version management</li>
 *   <li>Configuration migration</li>
 *   <li>Interactive upgrade workflows</li>
 * </ul>
 *
 * @see org.apache.maven.api.cli.Tools#MVNUP_CMD
 * @see org.apache.maven.api.cli.Tools#MVNUP_NAME
 * @since 4.0.0
 */

/xla_configure.bazelrc
/bazel-*
/bazel_pip
/tools/python_bin_path.sh
/tensorflow/tools/git/gen
/pip_test
/_python_build
*.pyc
__pycache__
*.swp
.vscode/
cmake_build/
tensorflow/contrib/cmake/_build/
.idea/**
/build/
[Bb]uild/
/build_output/
/tensorflow/core/util/version_info.cc
/tensorflow/python/framework/fast_tensor_util.cpp
/tensorflow/lite/gen/**
/tensorflow/lite/tools/make/downloads/**

your changes by running the command:

```bash
tensorflow/tools/ci_build/ci_build.sh CPU tensorflow/tools/ci_build/ci_sanity.sh
```

This will catch most license, Python coding style and BUILD file issues that
may exist in your changes.

#### Running unit tests

There are two ways to run TensorFlow unit tests.

1.  Using tools and libraries installed directly on your system.

    Refer to the