Use a mesma sintaxe padrão para atributos de modelo com tipos internos.

Portanto, em nosso exemplo, podemos fazer com que `tags` sejam especificamente uma "lista de strings":

{* ../../docs_src/body_nested_models/tutorial002_py310.py hl[12] *}

## Tipos "set" { #set-types }

Mas então, quando nós pensamos mais, percebemos que as tags não devem se repetir, elas provavelmente devem ser strings únicas.

    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/": {
                "get": {
                    "tags": ["items"],
                    "summary": "Get Items",
                    "operationId": "items-get_items",
                    "responses": {
                        "200": {

			if lc.Rules[i].ID == otherRule.ID {
				return errLifecycleDuplicateID
			}
		}
	}
	return nil
}

// FilterRules returns the rules filtered by the status, prefix and tags
func (lc Lifecycle) FilterRules(obj ObjectOpts) []Rule {
	if obj.Name == "" {
		return nil
	}
	var rules []Rule
	for _, rule := range lc.Rules {
		if rule.Status == Disabled {
			continue
		}

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: list = []


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

        // - reference: We allow references to classes that are not part of the compilation
        addBooleanOption("Xdoclint:all,-missing,-reference", true)

        // Add support for custom tags
        tags("apiNote:a:API Note:", "implSpec:a:Implementation Requirements:", "implNote:a:Implementation Note:")

        // Process all source files for valid javadoc, not just public ones
        addBooleanOption("private", true)

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: set[str] = set()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):
    results = {"item_id": item_id, "item": item}

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):

		traceFn(ILMExpiry, nil, err)
		return false
	}
	if dobj.Name == "" {
		dobj = obj
	}

	tags := newLifecycleAuditEvent(src, lcEvent).Tags()
	tags["version-id"] = dobj.VersionID

	// Send audit for the lifecycle delete operation
	auditLogLifecycle(ctx, dobj, ILMExpiry, tags, traceFn)

	eventName := event.ObjectRemovedDelete
	if obj.DeleteMarker {

# ==============================================================================
TFCI_INSTALLER_WHL_ENABLE=1
TFCI_INSTALLER_WHL_PROJECT_NAME="tensorflow_cpu"
TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME="tf_nightly_cpu"
# Supported wheel tags are stored as strings in TFCI_INSTALLER_WHL_TAGS
# separated by spaces.
TFCI_INSTALLER_WHL_TAGS="cp39-cp39-win_amd64 cp310-cp310-win_amd64 cp311-cp311-win_amd64 cp312-cp312-win_amd64"