}
	}
	if v == "" {
		if !ctx.Args().Present() || ctx.Args().First() == "help" {
			cli.ShowCommandHelpAndExit(ctx, ctx.Command.Name, 1)
		}
		return ctx.Args()
	}
	return strings.Fields(v)
}

func configCommonToSrvCtx(cf config.ServerConfigCommon, ctxt *serverCtxt) {
	ctxt.RootUser = cf.RootUser
	ctxt.RootPwd = cf.RootPwd

	if cf.Addr != "" {
		ctxt.Addr = cf.Addr
	}

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

        "protocols doesn't contain http/1.1: $protocolList"
      }
      require(null !in protocolList as List<Protocol?>) { "protocols must not contain null" }
      field = protocolList
    }

  public val started: Boolean
    get() = socketAddress_ != null

  /**
   * Returns a URL for connecting to this server.
   *
   * @param path the request path, such as "/".

    checkEntry(entry1, "custom-bar", "custom-header", 55)
    val entry2 = hpackReader!!.dynamicTable[readerHeaderTableLength() - 2]!!
    checkEntry(entry2, "custom-baz", "custom-header", 55)

    // Once a header field is decoded and added to the reconstructed header
    // list, it cannot be removed from it. Hence, foo is here.
    assertThat(hpackReader!!.getAndResetHeaderList()).isEqualTo(headerBlock)

			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusBadRequest,
		},
		// Test case - 10.
		// Existent bucket with policy with Version field empty.
		// writing BucketPolicy should fail.
		// should result in 400 StatusBadRequest.
		{
			bucketName:         bucketName,

labels.q=Consulta
labels.roles=Funções
labels.suggestSearchLog=Log de pesquisa para sugestões
labels.suggestWord=Palavra sugerida
labels.targetLabel=Rótulo
labels.term=Termo de pesquisa
labels.fields=Campos
labels.ex_q=Consulta estendida
labels.oldPassword=Senha atual
labels.newPassword=Nova senha
labels.confirmNewPassword=Confirmar nova senha
labels.menu_system=Sistema
labels.menu_wizard=Assistente

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import com.google.errorprone.annotations.Keep;
import java.io.Serializable;
import java.lang.reflect.Constructor;
import java.lang.reflect.Field;
import java.lang.reflect.GenericArrayType;
import java.lang.reflect.Method;
import java.lang.reflect.ParameterizedType;
import java.lang.reflect.Type;
import java.lang.reflect.TypeVariable;

labels.q=Consulta
labels.roles=Roles
labels.suggestSearchLog=Registro de búsqueda para sugerencias
labels.suggestWord=Palabra sugerida
labels.targetLabel=Etiqueta
labels.term=Término de búsqueda
labels.fields=Campos
labels.ex_q=Consulta extendida
labels.oldPassword=Contraseña actual
labels.newPassword=Nueva contraseña
labels.confirmNewPassword=Confirmar nueva contraseña
labels.menu_system=Sistema

labels.purgeSuggestSearchLogDay=पुरानी सुझाव जानकारी हटाएं
labels.q=क्वेरी
labels.roles=भूमिकाएं
labels.suggestSearchLog=सुझाव खोज लॉग
labels.suggestWord=सुझाव शब्द
labels.targetLabel=लेबल
labels.term=शब्द
labels.fields=फ़ील्ड
labels.ex_q=विस्तारित क्वेरी
labels.oldPassword=वर्तमान पासवर्ड
labels.newPassword=नया पासवर्ड
labels.confirmNewPassword=नया पासवर्ड (पुष्टि)

labels.menu_system=सिस्टम
labels.menu_wizard=विज़ार्ड

            } catch (Exception e) {
                ModelProblemCollectorRequest mpcr = new ModelProblemCollectorRequest(Severity.ERROR, Version.BASE)
                        .setMessage("Failed to interpolate field: "
                                + interpolatedModel.getParent().getVersion()
                                + " on class: ")
                        .setException(e);
                problems.add(mpcr);
            }