return cryptedText.startsWith("encrypted:") ? cryptedText.substring("encrypted:".length()) : cryptedText;
            }
        };

        String[] testStrings = { "simple", "with spaces", "special!@#$%^&*()", "unicode_test", "", "very long string " + "x".repeat(100) };

        for (String testStr : testStrings) {
            String encrypted = cipher.encrypt(testStr);

{* ../../docs_src/body_multiple_params/tutorial004_an_py310.py hl[28] *}

/// info | Info

`Body` hat die gleichen zusätzlichen Validierungs- und Metadaten-Parameter wie `Query`, `Path` und andere, die Sie später kennenlernen werden.

///

## Einen einzelnen Body-Parameter einbetten { #embed-a-single-body-parameter }

Nehmen wir an, Sie haben nur einen einzelnen `item`-Body-Parameter von einem Pydantic-Modell `Item`.

                "Stage_${stage.stageName.id}_PerformanceTests",
                model,
                performanceTests,
            )
        performanceTests.forEach { performanceTestTrigger ->
            // The space removal is necessary - otherwise it doesn't show
            val artifactDirName = performanceTestTrigger.name.replace(" ", "")
            performancePartialTrigger.dependencies {

 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of
 * higher space consumption.
 *
 * <p>This class extends {@link Number}, but does not define methods such as {@code
 * equals}, {@code hashCode} and {@code compareTo} because instances are expected to be mutated, and

	// e.g. Forwarded: for=192.0.2.60;proto=https;by=203.0.113.43
	forwarded = http.CanonicalHeaderKey("Forwarded")
	// Allows for a sub-match of the first value after 'for=' to the next
	// comma, semi-colon or space. The match is case-insensitive.
	forRegex = regexp.MustCompile(`(?i)(?:for=)([^(;|,| )]+)(.*)`)
	// Allows for a sub-match for the first instance of scheme (http|https)
	// prefixed by 'proto='. The match is case-insensitive.

  int num_elems = TF_TensorElementCount(theta_tensor);
  vector<float> theta_data(num_elems);
  memcpy(theta_data.data(), TF_TensorData(theta_tensor),
         TF_TensorByteSize(theta_tensor));

  // Initialize space for the numerical gradient.
  vector<float> dtheta_approx(num_elems);

  // Get theta shape and store in theta_dims.
  int num_dims = TF_NumDims(theta_tensor);
  vector<int64_t> theta_dims(num_dims);

        options.addOption(Option.builder(Character.toString(ACTIVATE_PROFILES))
                .longOpt("activate-profiles")
                .desc(
                        "Comma-delimited list of profiles to activate. Don't use spaces between commas or double quote the full list. Prefixing a profile with ! excludes it, and ? marks it as optional.")
                .hasArg()
                .build());

            : ImmutableSet.copyOf(ImmutableList.sortedCopyOf(columnComparator, columnSpaceBuilder));

    return forOrderedComponents(cellList, rowSpace, columnSpace);
  }

  /** A factory that chooses the most space-efficient representation of the table. */
  static <R, C, V> RegularImmutableTable<R, C, V> forOrderedComponents(
      ImmutableList<Cell<R, C, V>> cellList,
      ImmutableSet<R> rowSpace,

但現在想像你正從零開始寫它。

在某個時間點你會開始定義函式，參數都準備好了...

接著你需要呼叫「那個把第一個字母轉大寫的方法」。

是 `upper`？還是 `uppercase`？`first_uppercase`？`capitalize`？

然後你試著用老牌程式設計師的好朋友——編輯器自動完成。

你輸入函式的第一個參數 `first_name`，接著打一個點（`.`），然後按下 `Ctrl+Space` 觸發自動完成。

但很遺憾，你什麼有用的也沒得到：

<img src="/img/python-types/image01.png">

### 加上型別 { #add-types }

我們來修改前一版中的一行。

我們只要把函式參數這一段，從：

```Python
    first_name, last_name
```

改成：

        String url = "http://example.com/large-dataset";
        String message = "Crawling failed due to memory exhaustion";
        OutOfMemoryError error = new OutOfMemoryError("Heap space exhausted");

        DataStoreCrawlingException exception = new DataStoreCrawlingException(url, message, error);

        assertEquals(url, exception.getUrl());
        assertEquals(message, exception.getMessage());