Create new canned policy file `getonly.json`. This policy enables users to download all objects under `my-bucketname`.

```json
cat > getonly.json << EOF
{
  "Version": "2012-10-17",
  "Statement": [
	{
	  "Action": [
		"s3:GetObject"
	  ],
	  "Effect": "Allow",
	  "Resource": [

[*.java]
indent_size = 4
max_line_length = 140
ij_java_class_count_to_use_import_on_demand = 999
ij_java_names_count_to_use_import_on_demand = 999
ij_java_imports_layout = *,|,com.**,|,org.**,|,java.**,javax.**,|,$*

[*.json]
indent_size = 2

[*.py]
indent_size = 2

[*.sh]
indent_size = 2

[*.{yml,yaml}]
indent_size = 2

[*.{xsd,xml}]

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

    FastAPI is still capable of <dfn title="converting the data to a format that can be transmitted">serializing</dfn> the data to JSON.

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    Again, you can combine `dataclasses` with standard type annotations.

			contentType:  "text/plain",
			expectStatus: 206,
		},
		{
			name:         "Success 200 OK",
			statusCode:   200,
			body:         "full-object-data",
			contentType:  "application/json",
			expectStatus: 200,
		},
		{
			name:         "Client Error 400",
			statusCode:   400,
			body:         "bad-request",
			contentType:  "application/xml",
			expectStatus: 400,
		},
	}

    server.enqueue(
      MockResponse(
        code = 401,
        body = "{\"error\":{\"message\":\"No auth credentials found\",\"code\":401}}",
        headers = Headers.headersOf("content-type", "application/json"),
      ),
    )
    server.enqueue(
      MockResponse(
        body =
          """
          |data: hey
          |
          |
          """.trimMargin(),

        headers=headers,
        timeout=settings.httpx_timeout,
        json={"query": query, "variables": variables, "operationName": "Q"},
    )
    if response.status_code != 200:
        logging.error(f"Response was not 200, after: {after}")
        logging.error(response.text)
        raise RuntimeError(response.text)
    data = response.json()
    if "errors" in data:

type StringsSlice []string

func (l StringsSlice) Value() (driver.Value, error) {
	bytes, err := json.Marshal(l)
	return string(bytes), err
}

func (l *StringsSlice) Scan(input interface{}) error {
	switch value := input.(type) {
	case string:
		return json.Unmarshal([]byte(value), l)
	case []byte:
		return json.Unmarshal(value, l)
	default:
		return errors.New("not supported")
	}
}

     * Validates document fields and adds default values where necessary.
     *
     * @param body the bulk request body containing documents to process
     * @return JSON response with bulk operation results
     */
    // PUT /api/admin/documents/bulk
    @Execute
    public JsonResponse<ApiResult> put$bulk(final BulkBody body) {
        validateApi(body, messages -> {});

例如，若客戶端嘗試送出名為 `santa_tracker`、值為 `good-list-please` 的 Cookie，客戶端會收到**錯誤**回應，告知 `santa_tracker` 這個 <dfn title="聖誕老人不贊同沒有餅乾。🎅 好的，不再講餅乾笑話了。">Cookie 不被允許</dfn>：

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please",

    /**
     * Default constructor.
     */
    public MonitorTarget() {
        // Default constructor
    }

    /**
     * Appends a key-value pair to the buffer in JSON format.
     *
     * @param buf the string buffer to append to
     * @param key the key name
     * @param supplier the value supplier
     * @return the updated buffer
     */