}

    @Test
    @DisplayName("readn should read complete data when available")
    void testReadnComplete() throws IOException {
        byte[] buffer = new byte[10];
        byte[] data = { 1, 2, 3, 4, 5 };
        ByteArrayInputStream bais = new ByteArrayInputStream(data);

        int bytesRead = SessionServicePacket.readn(bais, buffer, 0, 5);

        assertEquals(5, bytesRead);

* `id`
* `name`
* `age`
* `secret_name`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:14] hl[12:14] *}

#### `HeroPublic` - o *modelo de dados* público { #heropublic-the-public-data-model }

Em seguida, criamos um modelo `HeroPublic`, que será **retornado** para os clientes da API.

    assertTrue(multiset.isEmpty());
    reserializeAndAssert(multiset);
  }

  public void testCreateFromIterable() {
    Iterable<Integer> iterable = asList(1, 2, 2, 3, 4);
    ConcurrentHashMultiset<Integer> multiset = ConcurrentHashMultiset.create(iterable);
    assertEquals(2, multiset.count(2));
    reserializeAndAssert(multiset);
  }

여기 이를 위한 몇가지 방식이 있습니다.

## Pydantic 모델 속 추가 JSON 스키마 데이터

생성된 JSON 스키마에 추가될 Pydantic 모델을 위한 `examples`을 선언할 수 있습니다.

//// tab | Pydantic v2

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

////

//// tab | Pydantic v1

{* ../../docs_src/schema_extra_example/tutorial001_pv1_py310.py hl[13:23] *}

////

추가 정보는 있는 그대로 해당 모델의 **JSON 스키마** 결과에 추가되고, API 문서에서 사용합니다.

            // Given
            int result = 0;
            when(mockBuffer.dec_ndr_short()).thenReturn(4096, 4096, 10, result, 0);
            when(mockBuffer.dec_ndr_long()).thenReturn(12345);
            when(mockBuffer.dec_ndr_small()).thenReturn(1);
            lenient().doNothing().when(mockBuffer).advance(anyInt());
            lenient().when(mockBuffer.align(anyInt())).thenReturn(0);

    val maxParallelForks: Int = 4,
) {
    // Include cross version tests, these take care of selecting a very small set of versions to cover when run as part of this stage, including the current version
    QUICK(true, true, true, 120, 4),

    // Include cross version tests, these take care of selecting a very small set of versions to cover when run as part of this stage, including the current version
    PLATFORM(true, true, true),

  "scenario" : "org.gradle.performance.regression.buildcache.TaskOutputCachingJavaPerformanceTest.clean assemble for abi change with local cache",
  "durations" : [ {
    "testProject" : "largeJavaMultiProject",
    "linux" : 1034
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.buildcache.TaskOutputCachingJavaPerformanceTest.clean assemble for non-abi change with local cache",
  "durations" : [ {

 * whenever there is a chance the check may fail "in real life". Example:
 *
 * {@snippet :
 * Bill bill = remoteService.getLastUnpaidBill();
 *
 * // In case bug 12345 happens again we'd rather just die
 * Verify.verify(bill.status() == Status.UNPAID,
 *     "Unexpected bill status: %s", bill.status());
 * }
 *
 * <h3>Comparison to alternatives</h3>
 *

	}
	if err := s.Err(); err != nil {
		t.Fatal(err)
	}
}

func TestEmptyTokens(t *testing.T) {
	testEmptyTokens(t, "1,2,3,", []string{"1", "2", "3", ""})
}

func TestWithNoEmptyTokens(t *testing.T) {
	testEmptyTokens(t, "1,2,3", []string{"1", "2", "3"})
}

func loopAtEOFSplit(data []byte, atEOF bool) (advance int, token []byte, err error) {
	if len(data) > 0 {
		return 1, data[:1], nil
	}

* `id`
* `name`
* `age`
* `secret_name`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:14] hl[12:14] *}

#### `HeroPublic` - the public *data model* { #heropublic-the-public-data-model }

Next, we create a `HeroPublic` model, this is the one that will be **returned** to the clients of the API.