result = result.replace(ESCAPED_QUOTE, "\"");
            }
        }

        return result;

    }

    /**
     * Quote and escape input value for CSV
     *
     * @param original Original text.
     * @return Escaped text.
     */
    public static String quoteEscape(final String original) {
        String result = original;

                                            key="labels.dict_synonym_file"/></label>
                                    <div class="col-sm-9">
                                        <input type="file" id="synonymFile" name="synonymFile" class="form-control-file"/>
                                    </div>
                                </div>
                            </div>

                                            key="labels.dict_protwords_file"/></label>
                                    <div class="col-sm-9">
                                        <input type="file" id="protwordsFile" name="protwordsFile" class="form-control-file"/>
                                    </div>
                                </div>
                            </div>

    @Nullable A[] result =
        FluentIterable.from(annotations).filter(annotationType).toArray(annotationType);
    @SuppressWarnings("nullness") // safe because the input list contains no nulls
    A[] cast = (A[]) result;
    return cast;
  }

  @Override
  public boolean equals(@Nullable Object obj) {
    if (obj instanceof Parameter) {

你也可以在模型設定中搭配 `ser_json_bytes` 使用 `bytes` 欄位來處理輸出資料；當產生 JSON 回應時，Pydantic 會將位元組以 base64 進行序列化。

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## Pydantic `bytes` 用於輸入與輸出資料 { #pydantic-bytes-for-input-and-output-data }

當然，你也可以使用同一個以 base64 設定的模型，同時處理輸入（以 `val_json_bytes` 驗證）與輸出（以 `ser_json_bytes` 序列化）的 JSON 資料。

        // Default constructor
    }

    private static int id = 0;
    private static final Logger log = LoggerFactory.getLogger(Transport.class);

    /**
     * Read bytes from the input stream into a buffer
     *
     * @param in the input stream to read from
     * @param b the buffer to read into
     * @param off the offset in the buffer to start writing
     * @param len the number of bytes to read

        this.rootLocator = rootLocator;
        return this;
    }

    /**
     * Interpolates given {@code path}.
     *
     * @return absolute path or {@code null} if the input was {@code null}
     */
    public String interpolate(String path, ProfileActivationContext context) throws InterpolationException {
        if (path == null) {
            return null;
        }

g=function(){var b=a(this),c=b.val();a.split(b.attr("data-sanitize"),function(a){if(!(a in d))throw new Error('Use of unknown sanitize command "'+a+'"');c=d[a](c,b,f)}),b.val(c).trigger("keyup.validation")};e.each(function(){var b=a(this);f.sanitizeAll&&b.find("input,textarea").not(c).each(function(){var b=a(this),c=b.attr("data-sanitize")||"";b.attr("data-sanitize",f.sanitizeAll+" "+c)}),b.find("[data-sanitize]").unbind("blur.sanitation",g).bind("blur.sanitation",g),a(function(){b.trigger("blur.sanitation")})...

                                                        key="labels.backup_bulk_file"/></label>
                                                <div class="mb-2 mr-sm-2"><input type="file" id="bulkFile"
                                                                                 name="bulkFile"
                                                                                 class="form-control-file"/></div>

 * Converter.apply (like Converter.convert) is capable of accepting null inputs. However, a
 * supertype of `Function<A, B>` turns out to be massively more useful to callers in practice: They
 * want their output to be non-null in operations like `stream.map(myConverter)`, and we can
 * guarantee that as long as we also require the input type to be non-null[*] (which is a
 * requirement that existing callers already fulfill).
 *