在這個例子中可能不是問題，因為是同一個使用者送出該密碼。

但如果我們對其他「路徑操作」使用相同的模型，我們可能會把使用者密碼送給所有用戶端。

/// danger | 警告

除非你非常清楚所有影響並確定自己在做什麼，否則永遠不要儲存使用者的明文密碼，也不要像這樣在回應中傳送。

///

## 新增一個輸出模型 { #add-an-output-model }

我們可以改為建立一個包含明文密碼的輸入模型，以及一個不含密碼的輸出模型：

{* ../../docs_src/response_model/tutorial003_py310.py hl[9,11,16] *}

在這裡，雖然「路徑操作函式」回傳的是同一個包含密碼的輸入使用者：

}

val validateTaskName = "validatePlugins"
val reportFileName = "task-properties/report.txt"

tasks.register<ValidatePlugins>(validateTaskName) {
    val main = project.sourceSets.main.get()
    classes.from(main.output)
    classpath.from(main.runtimeClasspath)
    outputFile = project.reporting.baseDirectory.file(reportFileName)
    enableStricterValidation = true

}

// OutputLocation specifies bucket where object needs to be restored
type OutputLocation struct {
	S3 S3Location `xml:"S3,omitempty"`
}

// IsEmpty returns true if output location not specified.
func (o *OutputLocation) IsEmpty() bool {
	return o.S3.BucketName == ""
}

// SelectParameters specifies sql select parameters
type SelectParameters struct {
	s3select.S3Select
}

			wantColumns:     []string{"header1", "header2", "header3"},
			wantFields:      "ok1,ok2,ok3\n" + `"a""""b",c` + "\n",
			wantErr:         io.EOF,
		},
		{
			// This works since LazyQuotes is true, but output is very weird.
			file:            "invalid-oddquote.csv",
			recordDelimiter: "\n",
			fieldDelimiter:  ",",
			sendErr:         nil,
			header:          true,

// Code generated by "stringer -type=HandlerID -output=handlers_string.go -trimprefix=Handler msg.go handlers.go"; DO NOT EDIT.

package grid

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[handlerInvalid-0]
	_ = x[HandlerLockLock-1]
	_ = x[HandlerLockRLock-2]
	_ = x[HandlerLockUnlock-3]

          sudo mount /dev/mapper/secret /mnt/secret
          sudo chown -R jenkins /mnt/secret
          cp -r "$WORKSPACE" /mnt/secret
          cd /mnt/secret/$(basename "$WORKSPACE")
          touch .output.log
          rm -Rf "$WORKSPACE"
          ln -s "$PWD" "$WORKSPACE"
      - shell: |
          #!/usr/local/bin/runbld --redirect-stderr

    cmd = select({
        "//tensorflow:windows": """
              $(location @local_config_def_file_filter//:def_file_filter) \\
              --input $(location :tensorflow_def_file) \\
              --output $@
          """,
        "//conditions:default": "touch $@",  # Just a placeholder for Unix platforms
    }),
    tools = ["@local_config_def_file_filter//:def_file_filter"],

Böylece duplicate veri içeren bir request alsanız bile, bu veri benzersiz öğelerden oluşan bir set’e dönüştürülür.

Ve bu veriyi ne zaman output etseniz, kaynakta duplicate olsa bile, benzersiz öğelerden oluşan bir set olarak output edilir.

Ayrıca buna göre annotate / dokümante edilir.

## İç İçe Modeller { #nested-models }

Bir Pydantic modelinin her attribute’unun bir tipi vardır.

            testRoot.convention(restRootDir)
        }

        // TODO: This effectively makes testRoot not customizable, which we don't do anyway atm
        project.sourceSets.test.output.dir(restRootDir, builtBy: buildRestTests)
    }

Тесты:

## Фрагменты кода { #code-snippets }

//// tab | Тест

Это фрагмент кода: `foo`. А это ещё один фрагмент кода: `bar`. И ещё один: `baz quux`.

////

//// tab | Информация