when(mockTransport.getServerEncryptionKey()).thenReturn(serverEncryptionKey);

        if (lmCompatibility == 3 || lmCompatibility == 4 || lmCompatibility == 5) {
            // For LM compatibility 3-5, only 16 bytes are used
            doAnswer(invocation -> {
                byte[] dest = invocation.getArgument(2);
                int offset = invocation.getArgument(3);

  - [Changelog since v1.3.6](#changelog-since-v136)
    - [Other notable changes](#other-notable-changes-3)
- [v1.3.6](#v136)
  - [Downloads](#downloads-3)
  - [Changelog since v1.3.5](#changelog-since-v135)
    - [Other notable changes](#other-notable-changes-4)
- [v1.3.5](#v135)
  - [Downloads](#downloads-4)
  - [Changelog since v1.3.4](#changelog-since-v134)
    - [Other notable changes](#other-notable-changes-5)
- [v1.3.4](#v134)

      ImmutableList.of(
          ImmutableList.<Integer>of(),
          ImmutableList.of(1),
          ImmutableList.of(2),
          ImmutableList.of(2, 3),
          ImmutableList.of(1, 2),
          ImmutableList.of(3, 5),
          ImmutableList.of(2, 4),
          ImmutableList.of(1, 2, 3, 5, 6, 8, 9));

  /*
   * We have a whole series of abstract test classes that "stack", so e.g. the tests for filtered

        ImmutableSet.of(1, 2, 3),
        set.intersection(ContiguousSet.create(Range.open(-1, 4), integers())));
    assertEquals(
        ImmutableSet.of(3), set.intersection(ContiguousSet.create(Range.closed(3, 5), integers())));
  }

  public void testAsList() {
    ImmutableList<Integer> list = ContiguousSet.create(Range.closed(1, 3), integers()).asList();
    for (int i = 0; i < 3; i++) {

例えば、上記のモデルは以下の様なJSON「`オブジェクト`」(もしくはPythonの `dict` ) を宣言しています:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...`description` と `tax` はオプショナル (デフォルト値は `None`) なので、以下のJSON「`オブジェクト`」も有効です:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

## パラメータとして宣言

///

#### 📊 ⏮️ 💲 🏑 ⏮️ 🔢

✋️ 🚥 👆 📊 ✔️ 💲 🏷 🏑 ⏮️ 🔢 💲, 💖 🏬 ⏮️ 🆔 `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

👫 🔜 🔌 📨.

#### 📊 ⏮️ 🎏 💲 🔢

🚥 📊 ✔️ 🎏 💲 🔢 🕐, 💖 🏬 ⏮️ 🆔 `baz`:

        // Base structure: 24 bytes, then pad8 alignment, then token: 5 bytes
        // Total bytes written includes padding for 8-byte alignment
        int expectedBytesWritten = 35;
        assertEquals(expectedBytesWritten, bytesWritten);

        // Verify structure
        assertEquals(25, SMBUtil.readInt2(buffer, offset)); // Structure size

		wantValid: false,
	}, {
		in: []sparseEntry{{0, 0}}, size: -100,
		wantValid: false,
	}, {
		in: []sparseEntry{{math.MaxInt64, 3}, {6, -5}}, size: 35,
		wantValid: false,
	}, {
		in: []sparseEntry{{1, 3}, {6, -5}}, size: 35,
		wantValid: false,
	}, {
		in: []sparseEntry{{math.MaxInt64, math.MaxInt64}}, size: math.MaxInt64,
		wantValid: false,
	}, {
		in: []sparseEntry{{3, 3}}, size: 5,

	EOR R2<<59, R30, R17                       // d1ef02ca
	ERET                                       // e0039fd6
	EXTRW $7, R8, R10, R25                     // 591d8813
	EXTR $35, R22, R12, R8                     // 888dd693
	SEVL                                       // bf2003d5
	HINT $6                                    // df2003d5
	HINT $0                                    // 1f2003d5

///

#### Daten mit Werten für Felder mit Defaultwerten

Aber wenn ihre Daten Werte für Modellfelder mit Defaultwerten haben, wie etwa der Artikel mit der ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

dann werden diese Werte in der Response enthalten sein.