task.getDestinationDirectory().convention(layout.getBuildDirectory().dir("tmp/" + task.getName()));
        });

        TaskProvider<Sync> userguideFlattenSources = tasks.register("stageUserguideSource", Sync.class, task -> {
            task.setDuplicatesStrategy(DuplicatesStrategy.FAIL);

            // TODO: This doesn't allow adoc files to be generated?

// For each call, unfreezeServices must be called once.
func freezeServices() {
	// Use atomics for globalServiceFreeze, so we can read without locking.
	// We need a lock since we are need the 2 atomic values to remain in sync.
	globalServiceFreezeMu.Lock()
	// If multiple calls, first one creates channel.
	globalServiceFreezeCnt++
	if globalServiceFreezeCnt == 1 {
		globalServiceFreeze.Store(make(chan struct{}))
	}

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package subnet

import (
	"net/http"
	"net/url"
	"os"
	"strings"
	"sync"

	"github.com/minio/minio/internal/config"
	"github.com/minio/pkg/v3/env"
	xnet "github.com/minio/pkg/v3/net"
)

const (
	baseURL    = "https://subnet.min.io"
	baseURLDev = "http://localhost:9000"
)

from typing import Annotated, Union

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(
    q: Annotated[
        Union[str, None],
        Query(
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
        ),
    ] = None,
):

from datetime import datetime, time, timedelta
from uuid import UUID

from fastapi import Body, FastAPI

app = FastAPI()


@app.put("/items/{item_id}")
async def read_items(
    item_id: UUID,
    start_datetime: datetime = Body(),
    end_datetime: datetime = Body(),
    process_after: timedelta = Body(),
    repeat_at: time | None = Body(default=None),
):
    start_process = start_datetime + process_after

from typing import Annotated

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str,
    size: Annotated[float, Query(gt=0, lt=10.5)],
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})

    ## Example

    ```python
    from fastapi import FastAPI, HTTPException

    app = FastAPI()

    items = {"foo": "The Foo Wrestlers"}


    @app.get("/items/{item_id}")
    async def read_item(item_id: str):
        if item_id not in items:
            raise HTTPException(status_code=404, detail="Item not found")
        return {"item": items[item_id]}
    ```
    """

    def __init__(

package store

import (
	"context"
	"errors"
	"sync"
	"time"
)

// ErrBatchFull indicates that the batch is full
var ErrBatchFull = errors.New("batch is full")

const defaultCommitTimeout = 30 * time.Second

// Batch represents an ordered batch
type Batch[I any] struct {
	items  []I
	limit  uint32
	store  Store[I]
	quitCh chan struct{}

	sync.Mutex
}

// BatchConfig represents the batch config

```Python
contents = myfile.file.read()
```

/// note | Detalhes Técnicos do `async`

Quando você usa os métodos `async`, o **FastAPI** executa os métodos de arquivo em um threadpool e aguarda por eles.

///

/// note | "Detalhes Técnicos do Starlette"

    price: float = Field(examples=[35.4])
    tax: Union[float, None] = Field(default=None, examples=[3.2])


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