- name: Export Language Codes
        id: show-langs
        run: |
          echo "langs=$(python ./scripts/translate.py llm-translatable-json)" >> $GITHUB_OUTPUT
          echo "commands=$(python ./scripts/translate.py commands-json)" >> $GITHUB_OUTPUT
        env:
          LANGUAGE: ${{ github.event.inputs.language }}
          COMMAND: ${{ github.event.inputs.command }}

// license that can be found in the LICENSE file.

package asm

import (
	"strings"
	"testing"

	"cmd/asm/internal/lex"
)

func tokenize(s string) [][]lex.Token {
	res := [][]lex.Token{}
	if len(s) == 0 {
		return res
	}
	for _, o := range strings.Split(s, ",") {
		res = append(res, lex.Tokenize(o))
	}
	return res
}

func TestErroneous(t *testing.T) {

	}
	return strings.HasPrefix(s, prefix)
}

// HasSuffix - Suffix matcher string matches suffix in a platform specific way.
// For example on windows since its case insensitive we are supposed
// to do case insensitive checks.
func HasSuffix(s string, suffix string) bool {
	if runtime.GOOS == globalWindowsOSName {
		return strings.HasSuffix(strings.ToLower(s), strings.ToLower(suffix))
	}

      StringBuilder stripped = new StringBuilder(chars.length());
      for (int i = 0; i < chars.length(); i++) {
        char c = chars.charAt(i);
        if (separator.indexOf(c) < 0) {
          stripped.append(c);
        }
      }
      return delegate.decodeTo(target, stripped);
    }

    @Override
    @J2ktIncompatible

			preloadMap[name] = map[string][]interface{}{}
		}
		if value != "" {
			preloadMap[name][value] = args
		}
	}

	for name, args := range preloads {
		preloadFields := strings.Split(name, ".")
		value := strings.TrimPrefix(strings.TrimPrefix(name, preloadFields[0]), ".")
		if preloadFields[0] == clause.Associations {
			for _, relation := range s.Relationships.Relations {
				if relation.Schema == s {

     *            The {@link Reader} to read strings from. Must not be {@literal null}.
     */
    public LineIterator(final Reader reader) {
        assertArgumentNotNull("reader", reader);
        this.reader = new BufferedReader(reader);
    }

    /**
     * Constructs an instance.
     *
     * @param reader
     *            The {@link BufferedReader} to read strings from. Must not be {@literal null}.
     */

			}

			lookUpNames := []string{lookUpName}
			if len(primaryFields) == 1 {
				lookUpNames = append(lookUpNames, strings.TrimSuffix(lookUpName, primaryField.Name)+"ID",
					strings.TrimSuffix(lookUpName, primaryField.Name)+"Id", schema.namer.ColumnName(foreignSchema.Table,
						strings.TrimSuffix(lookUpName, primaryField.Name)+"ID"))
			}

			for _, name := range lookUpNames {

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.

E que o Python tem um tipo de dados especial para conjuntos de itens únicos, o `set`.

	var retainTill RetentionDate

	var modeStr, tillStr string
	ok := false

	modeStr, ok = meta[strings.ToLower(AmzObjectLockMode)]
	if !ok {
		modeStr, ok = meta[AmzObjectLockMode]
	}
	if ok {
		mode = parseRetMode(modeStr)
	} else {
		return ObjectRetention{}
	}

	tillStr, ok = meta[strings.ToLower(AmzObjectLockRetainUntilDate)]
	if !ok {
		tillStr, ok = meta[AmzObjectLockRetainUntilDate]
	}

Así, en nuestro ejemplo, podemos hacer que `tags` sea específicamente una "lista de strings":

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

## Tipos de conjunto { #set-types }

Pero luego pensamos en ello, y nos damos cuenta de que los tags no deberían repetirse, probablemente serían strings únicos.

Y Python tiene un tipo de datos especial para conjuntos de elementos únicos, el `set`.