from typing import Annotated, Union

from fastapi import Depends, FastAPI

app = FastAPI()


async def common_parameters(
    q: Union[str, None] = None, skip: int = 0, limit: int = 100
):
    return {"q": q, "skip": skip, "limit": limit}


CommonsDep = Annotated[dict, Depends(common_parameters)]


@app.get("/items/")
async def read_items(commons: CommonsDep):
    return commons


@app.get("/users/")

from typing import Union

from fastapi import Depends, FastAPI

app = FastAPI()


async def common_parameters(
    q: Union[str, None] = None, skip: int = 0, limit: int = 100
):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: dict = Depends(common_parameters)):
    return commons


@app.get("/users/")
async def read_users(commons: dict = Depends(common_parameters)):

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = dict[Union[type[BaseModel], type[Enum]], str]
IncEx = Union[set[int], set[str], dict[int, Any], dict[str, Any]]

    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


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

            }
            return match + ".adoc";
        }
    }

    private static class Error {
        private final int lineNumber;
        private final String line;
        private final String message;

        private Error(int lineNumber, String line, String message) {
            this.lineNumber = lineNumber;
            this.line = line;
            this.message = message;
        }

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

type SiteResyncStatus struct {
	Version int `json:"version" msg:"v"`
	// Overall site status
	Status                        ResyncStatusType            `json:"st" msg:"ss"`
	DeplID                        string                      `json:"dId" msg:"did"`
	BucketStatuses                map[string]ResyncStatusType `json:"buckets" msg:"bkts"`
	TotBuckets                    int                         `json:"totbuckets" msg:"tb"`

	c.Assert(response.StatusCode, http.StatusOK)

	var buffer bytes.Buffer
	// data to be written into buffer.
	data := "1234567890"
	// seed the random number generator once.
	rand.Seed(3)
	// generate a random number between 13 and 200.
	randInt := getRandomRange(13, 200, -1)
	// write into buffer till length of the buffer is greater than the generated random number.
	for i := 0; i <= randInt; i += 10 {

}

TF_Tensor* BoolTensor(bool v) {
  const int num_bytes = sizeof(bool);
  bool* values = new bool[1];
  values[0] = v;
  return TF_NewTensor(TF_BOOL, nullptr, 0, values, num_bytes, &BoolDeallocator,
                      nullptr);
}

TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values) {
  int64_t num_values = 1;
  for (int i = 0; i < num_dims; ++i) {
    num_values *= dims[i];
  }

package lex

import (
	"text/scanner"

	"cmd/internal/src"
)

// A Slice reads from a slice of Tokens.
type Slice struct {
	tokens []Token
	base   *src.PosBase
	line   int
	pos    int
}

func NewSlice(base *src.PosBase, line int, tokens []Token) *Slice {
	return &Slice{
		tokens: tokens,
		base:   base,
		line:   line,
		pos:    -1, // Next will advance to zero.
	}
}