Ahora usa la operación `GET` con la path `/users/me`.

Obtendrás los datos de tu usuario, como:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false,
  "hashed_password": "fakehashedsecret"
}
```

<img src="/img/tutorial/security/image06.png">

	// Newer versions cannot be read by older software.
	// This will prevent downgrades to incompatible versions.
	xlVersionMajor = 1

	// Non breaking changes.
	// Bumping this is informational, but should be done
	// if any change is made to the data stored, bumping this
	// will allow to detect the exact version later.
	xlVersionMinor = 3
)

func init() {
	binary.LittleEndian.PutUint16(xlVersionCurrent[0:2], xlVersionMajor)

	if [ $# -ne 0 ]; then
		echo "error on line $1"
		for site in sitea siteb sitec; do
			echo "$site server logs ========="
			cat "/tmp/${site}_1.log"
			echo "==========================="
			cat "/tmp/${site}_2.log"
		done
	fi

	echo "Cleaning up instances of MinIO"
	pkill minio
	pkill -9 minio
	rm -rf /tmp/multisitea
	rm -rf /tmp/multisiteb
	rm -rf /tmp/multisitec
	if [ $# -ne 0 ]; then
		exit $#
	fi
}

catch

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

👈 💪 ⤴️ ⚙️ 💖:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

`**second_user_data` ⛓:

APPLE_BAZEL_FILES = [
    'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
    'tensorflow/lite/swift/BUILD',
    'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'
]

# List of files to move when building for iOS.
IOS_FILES = [
    'tensorflow/lite/objc/TensorFlowLiteObjC.podspec',
    'tensorflow/lite/swift/TensorFlowLiteSwift.podspec',
]


class UserInputError(Exception):
  pass

///

## Motivación

Comencemos con un ejemplo simple:

{* ../../docs_src/python_types/tutorial001.py *}

Llamar a este programa genera:

```
John Doe
```

La función hace lo siguiente:

* Toma un `first_name` y `last_name`.
* Convierte la primera letra de cada uno a mayúsculas con `title()`.

///

## انگیزه

بیاید با یه مثال ساده شروع کنیم:

{* ../../docs_src/python_types/tutorial001.py *}

وقتی این برنامه رو اجرا کنی، خروجی اینه:

```
John Doe
```

این تابع این کارا رو می‌کنه:

* یه `first_name` و `last_name` می‌گیره.
* حرف اول هر کدوم رو با `title()` بزرگ می‌کنه.

    transferKind.setBody(mockResponse, "I love puppies but hate spiders", 1)
    server.enqueue(mockResponse.build())

    // Make sure that calling skip() doesn't omit bytes from the cache.
    val request = Request.Builder().url(server.url("/")).build()
    val response1 = client.newCall(request).execute()
    val in1 = response1.body.source()
    assertThat(in1.readUtf8("I love ".length.toLong())).isEqualTo("I love ")

    super(new TreeMap<R, Map<C, V>>(rowComparator), new Factory<C, V>(columnComparator));
    this.columnComparator = columnComparator;
  }

  // TODO(jlevy): Move to StandardRowSortedTable?

  /**
   * Returns the comparator that orders the rows. With natural ordering, {@link Ordering#natural()}
   * is returned.
   *

          // that case)
          // Can't represent anything higher, and realistically there probably isn't anything that
          // can actually be done anyway with the supposed 8+ exbibytes of data the source is
          // claiming to have if we get here, so just stop.
          return Optional.of(Long.MAX_VALUE);
        }
      }
      return Optional.of(result);