// Make a copy of the supplied metadata to avoid
	// to change the original one.
	defaultMeta := make(map[string]string, len(userMeta))
	for k, v := range userMeta {
		// skip tier metadata when copying metadata from source object
		switch k {
		case metaTierName, metaTierStatus, metaTierObjName, metaTierVersionID:
			continue
		}
		defaultMeta[k] = v
	}

	// remove SSE Headers from source info

                .collect(Collectors.groupingBy(
                        Plugin::getGroupId,
                        LinkedHashMap::new,
                        Collectors.mapping(Plugin::getArtifactId, Collectors.toSet())));
        request.getPluginGroups().forEach(g -> candidates.put(g, null));
        PluginPrefixResult result = resolveFromRepository(request, candidates);

from typing import Annotated, Optional

import pytest
from fastapi import Body, FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/optional-list-str", operation_id="optional_list_str")
async def read_optional_list_str(

from typing import Optional

from fastapi import FastAPI
from fastapi.testclient import TestClient
from inline_snapshot import snapshot
from pydantic import BaseModel, computed_field


class SubItem(BaseModel):
    subname: str
    sub_description: Optional[str] = None
    tags: list[str] = []
    model_config = {"json_schema_serialization_defaults_required": True}


class Item(BaseModel):
    name: str

from typing import Annotated

import pytest
from fastapi import FastAPI, File, UploadFile
from fastapi.testclient import TestClient

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/list-bytes", operation_id="list_bytes")
async def read_list_bytes(p: Annotated[list[bytes], File()]):

	// of large number of groups
	cred.Groups = targetGroups

	// Set the newly generated credentials, policyName is empty on purpose
	// LDAP policies are applied automatically using their ldapUser, ldapGroups
	// mapping.
	updatedAt, err := globalIAMSys.SetTempUser(context.Background(), cred.AccessKey, cred, "")
	if err != nil {
		return nil, err
	}

		}
	}

	if len(fanOutEntries) > 0 {
		// Fan-out requires no copying, and must be carried from original source
		// https://en.wikipedia.org/wiki/Copy_protection so the incoming stream
		// is always going to be in-memory as we cannot re-read from what we
		// wrote to disk - since that amounts to "copying" from a "copy"
		// instead of "copying" from source, we need the stream to be seekable

* Validierung von **komplexen Strukturen**:
    * Benutzung von hierarchischen Pydantic-Modellen, Python-`typing`s `List` und `Dict`, etc.
    * Die Validierer erlauben es, komplexe Datenschemen klar und einfach zu definieren, überprüft und dokumentiert als JSON Schema.

Как это работает? Давайте разберёмся. 🤓

### Аннотации типов и инструменты { #type-annotations-and-tooling }

Сначала посмотрим, как это увидят редакторы, mypy и другие инструменты.

`BaseUser` содержит базовые поля. Затем `UserIn` наследуется от `BaseUser` и добавляет поле `password`, то есть он включает все поля обеих моделей.

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.
* Créez un fichier `main.py` avec :

```Python
from typing import Optional

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")