But it was created before there existed Python type hints. So, to define every <abbr title="the definition of how data should be formed">schema</abbr> you need to use specific utils and classes provided by Marshmallow.

!!! check "Inspired **FastAPI** to"
    Use code to define "schemas" that provide data types and validation, automatically.

  // +optional
  // +listType=atomic
  repeated k8s.io.api.core.v1.TopologySelectorTerm allowedTopologies = 8;
}

// StorageClassList is a collection of storage classes.
message StorageClassList {
  // Standard list metadata
  // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata
  // +optional

import org.jetbrains.kotlin.analysis.api.lifetime.KtLifetimeToken
import org.jetbrains.kotlin.analysis.api.types.KtType
import org.jetbrains.kotlin.analysis.api.types.KtTypeMappingMode
import org.jetbrains.kotlin.asJava.classes.KtLightClassForFacade
import org.jetbrains.kotlin.asJava.elements.KtLightElement
import org.jetbrains.kotlin.asJava.elements.KtLightParameter
import org.jetbrains.kotlin.codegen.signature.BothSignatureWriter

  optional k8s.io.api.core.v1.NodeSelector suitableNodes = 4;
}

// ResourceClassList is a collection of classes.
message ResourceClassList {
  // Standard list metadata
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // Items is the list of resource classes.
  repeated ResourceClass items = 2;
}

// ResourceClassParametersReference contains enough information to let you

    SQLAlchemy uses the term "**model**" to refer to these classes and instances that interact with the database.

    But Pydantic also uses the term "**model**" to refer to something different, the data validation, conversion, and documentation classes and instances.

Import `Base` from `database` (the file `database.py` from above).

Create classes that inherit from it.

These classes are the SQLAlchemy models.

Mas ele foi criado antes da existência do _type hints_ do Python. Então, para definir todo o <abbr title="definição de como os dados devem ser formados">_schema_</abbr> você precisa utilizar específicas ferramentas e classes fornecidas pelo Marshmallow.

!!! check "**FastAPI** inspirado para"
    Usar código para definir "schemas" que forneçam, automaticamente, tipos de dados e validação.

    append("(")
    if (method.containingClass?.isEnum == true && method.isConstructor) {
        // Enum constructors are represented without name/ordinal in light classes, which seems fine because they don't have name/ordinal
        // in Java sources as well, even though the parameters are there in the bytecode. Since metadata stores JVM signatures, we're

    // at sun.security.pkcs12.PKCS12KeyStore.setKeyEntry
    // http://openjdk.java.net/jeps/229
    // http://hg.openjdk.java.net/jdk9/jdk9/jdk/file/2c1c21d11e58/src/share/classes/sun/security/pkcs12/PKCS12KeyStore.java#l596
    val keystoreType = if (platform.isJdk9()) "JKS" else null
    val x509KeyManager = newKeyManager(keystoreType, heldCertificate, *intermediates)
    val trustManager =

    * Der Cloud-Dienst wird wahrscheinlich **die Replikation für Sie übernehmen**. Er würde Sie möglicherweise **einen auszuführenden Prozess** oder ein **zu verwendendes Container-Image** definieren lassen, in jedem Fall wäre es höchstwahrscheinlich **ein einzelner Uvicorn-Prozess**, und der Cloud-Dienst wäre auch verantwortlich für die Replikation.

!!! tip "Tipp"

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

Just standard **Python**.

For example, for an `int`:

```Python
item_id: int
```

or for a more complex `Item` model:

```Python
item: Item
```