```Python
user_dict = user_in.dict()
```

ahora tenemos un `dict` con los datos en la variable `user_dict` (es un `dict` en lugar de un objeto modelo Pydantic).

Y si llamamos a:

```Python
print(user_dict)
```

obtendremos un `dict` de Python con:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

Например, у вас есть файл `main.py`:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip | Совет

		{testBuckets[0], "unique/", "", "", 1000, true, ListObjectsInfo{}, resultCasesV[1], nil, true},
	}

	for i, testCase := range testCases {
		t.Run(fmt.Sprintf("%s-Test%d", instanceType, i+1), func(t *testing.T) {
			var err error
			var resultL ListObjectsInfo
			var resultV ListObjectVersionsInfo
			if testCase.versioned {

		if envOnly {
			key = config.EnvPrefix + strings.ToTitle(subSys) + config.EnvWordDelimiter + strings.ToTitle(madmin.EnableKey)
		}
		help = append(help, config.HelpKV{
			Key:         key,
			Description: fmt.Sprintf("enable %s target, default is 'off'", subSys),
			Optional:    false,
			Type:        "on|off",
		})
	}

	for _, hkv := range h {
		key := hkv.Key
		if envOnly {

// The logic to sort by last octet is implemented to
// prefer CIDRs with higher octets, this in-turn skips the
// localhost/loopback address to be not preferred as the
// first ip on the list. Subsequently this list helps us print
// a user friendly message with appropriate values.
func sortIPs(ipList []string) []string {
	if len(ipList) == 1 {
		return ipList
	}

	var ipV4s []net.IP
	var nonIPs []string

```

就能以如下方式调用：

```Python
user_dict = user_in.dict()
```

现在，变量 `user_dict`中的就是包含数据的**字典**（变量 `user_dict` 是字典，不是 Pydantic 模型对象）。

以如下方式调用：

```Python
print(user_dict)
```

输出的就是 Python **字典**：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### 解包 `dict`

        .addEqualityGroup(wrapperFunction.apply(instance), wrapperFunction.apply(instance))
        .addEqualityGroup(wrapperFunction.apply(generator.newFreshProxy(interfaceType)))
        // TODO: add an overload to EqualsTester to print custom error message?
        .testEquals();
  }

  private static <T> void testToString(
      Class<T> interfaceType, Function<? super T, ? extends T> wrapperFunction) {

            // Test PRINT share type
            setPrivateField(response, "shareType", Smb2TreeConnectResponse.SMB2_SHARE_TYPE_PRINT);
            assertEquals(Smb2TreeConnectResponse.SMB2_SHARE_TYPE_PRINT, response.getShareType(), "Should handle PRINT share type");
        }

        @Test
        @DisplayName("Should handle share flags")

    }

    @DisplayName("Should parse different share types correctly")
    @ParameterizedTest
    @CsvSource({ "1, 1", // DISK
            "2, 2", // PIPE
            "3, 3", // PRINT
            "0, 0", // Unknown
            "255, -1" // Byte overflow to signed
    })
    void testDifferentShareTypes(int shareTypeValue, int expectedValue) throws SMBProtocolDecodingException {
        // Given

```Python
user_dict = user_in.model_dump()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```