data = append(data, []string{attr, errors.Unwrap(err).Error()})
			} else {
				data = append(data, []string{attr, fmt.Sprintf("%d", value)})
			}
		}
		table.AppendBulk(data) // Add Bulk Data
		table.Render()
	}

import org.dbflute.optional.OptionalEntity;
import org.dbflute.optional.OptionalThing;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.response.render.RenderData;
import org.lastaflute.web.ruts.process.ActionRuntime;
import org.lastaflute.web.validation.VaMessenger;

import jakarta.annotation.Resource;

/**
 * Admin action for Group management.
 *
 */

import org.dbflute.optional.OptionalEntity;
import org.dbflute.optional.OptionalThing;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.response.render.RenderData;
import org.lastaflute.web.ruts.process.ActionRuntime;

import jakarta.annotation.Resource;

/**
 * Admin action for Related Query management.
 *
 */

        final List<StemmerOverrideItem> itemList = new ArrayList<>();
        try (BufferedReader reader = new BufferedReader(new InputStreamReader(in, Constants.UTF_8))) {
            long id = 0;
            String line = null;
            while ((line = reader.readLine()) != null) {
                // Remove comments

Então utilizamos a requisição diretamente, e extraímos o corpo como `bytes`. Isso significa que o FastAPI não vai sequer tentar analisar o corpo da requisição como JSON.

E então no nosso código, nós analisamos o conteúdo YAML diretamente, e estamos utilizando o mesmo modelo Pydantic para validar o conteúdo YAML:

//// tab | Pydantic v2

--- | --- | --- | ---
regular | standard | 97 | 3.6MB
regular | jstream | 175 | 2.1MB
large | standard | 92 | 305MB
large | jstream | 404 | 69MB

In a real world scenario, including initialization and reader overhead from varying blob sizes, performance can be expected as below:

	}
	debugln := func(args ...any) {
		if debug {
			fmt.Println(args...)
		}
	}
	// Inject random reader/writer sleeps.
	const maxSleep = int(1 * time.Millisecond)
	doSleep := !testing.Short()
	rb := New(4 << 10).SetBlocking(true)

	// Reader
	var readErr error
	var wg sync.WaitGroup
	wg.Add(1)
	go func() {
		readRng := rand.New(rand.NewSource(1))
		defer wg.Done()

También declaramos un parámetro especial de tipo `SecurityScopes`, importado de `fastapi.security`.

Esta clase `SecurityScopes` es similar a `Request` (`Request` se usó para obtener el objeto request directamente).

{* ../../docs_src/security/tutorial005_an_py310.py hl[9,106] *}

## Usar los `scopes` { #use-the-scopes }

El parámetro `security_scopes` será del tipo `SecurityScopes`.

        Set<WorkspaceReader> workspaceReaders = new LinkedHashSet<>();
        // 1) Reactor workspace reader
        WorkspaceReader reactorReader = lookup.lookup(WorkspaceReader.class, ReactorReader.HINT);
        workspaceReaders.add(reactorReader);
        // 2) Repository system session-scoped workspace reader (contains ide and exec request reader)
        for (WorkspaceReader repoWorkspaceReader : chainedWorkspaceReader.getReaders()) {

package cmd

import (
	"github.com/minio/madmin-go/v3"
	"github.com/tinylib/msgp/msgp"
)

// DecodeMsg implements msgp.Decodable
func (z *TierConfigMgr) DecodeMsg(dc *msgp.Reader) (err error) {
	var field []byte
	_ = field
	var zb0001 uint32
	zb0001, err = dc.ReadMapHeader()
	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	for zb0001 > 0 {
		zb0001--