assertEquals(0, size % 8, "Size should be aligned to 8-byte boundary");
        }

        @ParameterizedTest
        @DisplayName("Should calculate size for various lock counts")
        @ValueSource(ints = { 0, 1, 2, 5, 10, 20, 50, 100 })
        void testSizeWithVariousLockCounts(int lockCount) {
            Smb2Lock[] locks = new Smb2Lock[lockCount];
            for (int i = 0; i < lockCount; i++) {

    void zeroCodeMapsToZero() {
        // Act
        int actual = findNtStatusOrMinusOne(0x00000000);

        // Assert
        assertEquals(0x00000000, actual);
    }

    @ParameterizedTest
    @ValueSource(ints = { -1, 1, 0x00FFFF00, 0x0BADF00D })
    @DisplayName("Invalid or unknown DOS codes return not-found sentinel (-1)")
    void unknownCodesReturnMinusOne(int dosCode) {
        // Act

        // Then
        assertNotNull(exception);
        assertEquals(message, exception.getMessage());
        assertEquals(cause, exception.getCause());
    }

    @ParameterizedTest
    @ValueSource(ints = { NtStatus.NT_STATUS_SUCCESS, NtStatus.NT_STATUS_ACCESS_DENIED, NtStatus.NT_STATUS_OBJECT_NAME_NOT_FOUND,
            NtStatus.NT_STATUS_SHARING_VIOLATION, NtStatus.NT_STATUS_INVALID_PARAMETER })

# Introduction aux Types Python

Python supporte des annotations de type (ou *type hints*) optionnelles.

Ces annotations de type constituent une syntaxe spéciale qui permet de déclarer le <abbr title="par exemple : str, int, float, bool">type</abbr> d'une variable.

En déclarant les types de vos variables, cela permet aux différents outils comme les éditeurs de texte d'offrir un meilleur support.

	}
	for _, relations := range embeddedRelations.EmbeddedRelations {
		names = append(names, embeddedValues(relations)...)
	}
	return names
}

// preloadEntryPoint enters layer by layer. It will call real preload if it finds the right entry point.
// If the current relationship is embedded or joined, current query will be ignored.
//
//nolint:cyclop

    }

    @Test
    @DisplayName("Test hasMoreElements becomes false when all data is sent")
    void testHasMoreElementsBecomeFalse() {
        // Set small amounts so everything fits in one message
        transaction.setParameterBytesWritten(10);
        transaction.setDataBytesWritten(10);

        // First call processes all data
        transaction.nextElement();

        assertEquals("string,builder,buffer", result);
    }

    @ParameterizedTest
    @DisplayName("Should handle various element counts")
    @ValueSource(ints = { 1, 2, 5, 10, 20, 50, 100 })
    void testJoinWithVariousElementCounts(int count) {
        CharSequence[] elements = new CharSequence[count];
        for (int i = 0; i < count; i++) {

		if gotNewErr != errErasureWriteQuorum {
			t.Errorf("Test %d : expected %s, got %s", i+1, errErasureWriteQuorum, gotErr)
		}
	}
}

// TestHashOrder - test order of ints in array
func TestHashOrder(t *testing.T) {
	testCases := []struct {
		objectName  string
		hashedOrder []int
	}{
		// cases which should pass the test.
		// passing in valid object name.

And will also be used in the API docs inside each *path operation* that needs them:

<img src="/img/tutorial/body/image02.png">

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

    List<Integer> ints = Arrays.asList(0, 1, 2);
    List<Float> floats = Arrays.asList(0.0f, 1.0f, 2.0f);
    List<Long> longs = Arrays.asList(0L, 1L, 2L);
    List<Double> doubles = Arrays.asList(0.0, 1.0, 2.0);

    assertThat(Doubles.toArray(bytes)).isEqualTo(array);
    assertThat(Doubles.toArray(shorts)).isEqualTo(array);
    assertThat(Doubles.toArray(ints)).isEqualTo(array);