}
}

func TestNestedModel(t *testing.T) {
	versionUser, err := schema.Parse(&VersionUser{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("failed to parse nested user, got error %v", err)
	}

	fields := []schema.Field{

⚖️ 🎏 🌌, 🙅‍♂ 💪 👫, 🗄 & ⚙️ 📟 👆 💪.

🙆 🛠️ 🏗 🙅 ⚙️ (⏮️ 🔗) 👈 👆 💪 ✍ "🔌-" 👆 🈸 2️⃣ ⏸ 📟 ⚙️ 🎏 📊 & ❕ ⚙️ 👆 *➡ 🛠️*.

### 💯

* 1️⃣0️⃣0️⃣ 💯 <abbr title="The amount of code that is automatically tested">💯 💰</abbr>.
* 1️⃣0️⃣0️⃣ 💯 <abbr title="Python type annotations, with this your editor and external tools can give you better support">🆎 ✍</abbr> 📟 🧢.
* ⚙️ 🏭 🈸.

## 💃 ⚒

	finalPkgpath, underGoRoot, err := subdir()
	if err != nil {
		return "", err
	}
	cwd = strings.TrimSuffix(cwd, finalPkgpath)

	// Copy all immediate files and testdata directories between
	// the package being tested and the source root.
	pkgpath = ""
	for _, element := range strings.Split(finalPkgpath, string(filepath.Separator)) {
		if debug {
			log.Printf("copying %s", pkgpath)
		}
		pkgpath = filepath.Join(pkgpath, element)

			wantSelected: &inputSerialized[9],
			wantOk:       true,
		},
	}

	for testID, tt := range tests {
		rng := rand.New(rand.NewSource(0))
		// Run for a number of times, shuffling the input to ensure that output is consistent.
		for i := range 10 {
			t.Run(fmt.Sprintf("test-%d-%s-run-%d", testID, tt.name, i), func(t *testing.T) {
				if i > 0 {
					rng.Shuffle(len(tt.m), func(i, j int) {

  public void testLog10MatchesBigInteger() {
    for (int x : POSITIVE_INTEGER_CANDIDATES) {
      for (RoundingMode mode : ALL_SAFE_ROUNDING_MODES) {
        // The BigInteger implementation is tested separately, use it as the reference.
        assertEquals(BigIntegerMath.log10(valueOf(x), mode), IntMath.log10(x, mode));
      }
    }
  }

  // Relies on the correctness of log10(int, FLOOR) and of pow(int, int).

A group's DN may be associated with an [access policy](#managing-usergroup-access-policy).

#### Nested groups usage in LDAP/AD
If you are using Active directory with nested groups you have to add LDAP_MATCHING_RULE_IN_CHAIN: :1.2.840.113556.1.4.1941: to your query.
For example:
```shell

  public void testLenientFormat_badArgumentToString() {
    assertThat(Strings.lenientFormat("boiler %s plate", new ThrowsOnToString()))
        .matches(
            // J2kt nested class name does not use "$"
            "boiler <com\\.google\\.common\\.base\\.StringsTest[.$]ThrowsOnToString@[0-9a-f]+ "
                + "threw java\\.lang\\.UnsupportedOperationException> plate");
  }

  fun fromJavaNetUrlUnsupportedScheme() {
    // java.net.MalformedURLException: unknown protocol: mailto
    platform.assumeNotAndroid()

    // Accessing an URL protocol that was not enabled. The URL protocol mailto is not tested and
    // might not work as expected. It can be enabled by adding the --enable-url-protocols=mailto
    // option to the native-image command.
    platform.assumeNotGraalVMImage()

You could also access the value `"lenet"` with `ModelName.lenet.value`.

///

#### Return *enumeration members* { #return-enumeration-members }

You can return *enum members* from your *path operation*, even nested in a JSON body (e.g. a `dict`).

They will be converted to their corresponding values (strings in this case) before returning them to the client:

{* ../../docs_src/path_params/tutorial005.py hl[18,21,23] *}

// does various checks while doing so. `input_nodes` will contain the same
// information as input_tensors just in a different structure to make
// following processing easier. TODO(iga): Simplify this nested structure.
absl::Status ProcessInputs(
    const TF_Graph* fn_body, const char* fn_name, int ninputs,
    const TF_Output* inputs, std::vector<OutputTensor>* input_tensors,