final String result = chatClient.testBuildAssistantHistoryContent(msg, "smart_summary", 500, 500);
        assertTrue(result.contains("...[omitted]..."));
        assertTrue(result.contains("[Referenced documents: Test Doc]"));
        // Head (300) + omitted marker + tail (200) + source titles
        assertTrue(result.length() < 1000);
    }

    @Test

3. La dataclass `Author` inclut une liste de dataclasses `Item`.

4. La dataclass `Author` est utilisée comme paramètre `response_model`.

5. Vous pouvez utiliser d'autres annotations de type standard avec des dataclasses comme corps de la requête.

    Dans ce cas, il s'agit d'une liste de dataclasses `Item`.

6. Ici, nous renvoyons un dictionnaire qui contient `items`, qui est une liste de dataclasses.

    @Override
    public void includeArtifact(Artifact artifact) {}

    @Override
    public void omitForNearer(Artifact omitted, Artifact kept) {}

    @Override
    public void omitForCycle(Artifact omitted) {}

    @Override
    public void updateScopeCurrentPom(Artifact artifact, String scope) {}

    @Override
    public void updateScope(Artifact artifact, String scope) {}

            assertEquals(context.size(), encodedSize);
            assertEquals(1, buffer[0]); // hash algo count (little endian)
            assertEquals(0, buffer[1]);
            assertEquals(8, buffer[2]); // salt length (little endian)
            assertEquals(0, buffer[3]);
            assertEquals(1, buffer[4]); // SHA512 hash algo (little endian)
            assertEquals(0, buffer[5]);

Beachten Sie, dass der `images`-Schlüssel jetzt eine Liste von Bild-Objekten hat.

///

## Tief verschachtelte Modelle { #deeply-nested-models }

Sie können beliebig tief verschachtelte Modelle definieren:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | Info

Beachten Sie, wie `Offer` eine Liste von `Item`s hat, die ihrerseits eine optionale Liste von `Image`s haben.

///

  }

  public void testReadLittleEndian() throws IOException {
    DataInput in = new LittleEndianDataInputStream(new ByteArrayInputStream(data));

    /* Read in various values in LITTLE ENDIAN FORMAT */
    byte[] b = new byte[2];
    in.readFully(b);
    assertEquals(-100, b[0]);
    assertEquals(100, b[1]);
    assertEquals(true, in.readBoolean());
    assertEquals(false, in.readBoolean());

        setPrivateField(cmd, "maxReferralLevel", 0x12AB);
        byte[] buffer = new byte[100];
        int len = cmd.writeParametersWireFormat(buffer, 0);
        assertTrue(len >= 2);
        // writeInt2 writes in little-endian format (LSB first)
        assertEquals(0xAB, buffer[0] & 0xFF);
        assertEquals(0x12, buffer[1] & 0xFF);
        // Check that the path is written after the referral level

/tensorflow/python/framework/fast_tensor_util.cpp
/tensorflow/lite/gen/**
/tensorflow/lite/tools/make/downloads/**
/tensorflow/lite/tools/make/gen/**
/api_init_files_list.txt
/estimator_api_init_files_list.txt
*.whl
dist
venv/

# Android
.gradle
.idea
*.iml
local.properties
gradleBuild

# iOS
*.pbxproj
*.xcworkspace
/*.podspec
/tensorflow/lite/**/coreml/**/BUILD
/tensorflow/lite/**/ios/BUILD

     * @return the short value in little-endian format
     * @throws IOException if an I/O error occurs
     */
    public short readShort() throws IOException {
        align(2);
        return Short.reverseBytes(this.dis.readShort());
    }

    /**
     * Reads a 32-bit integer value with proper alignment and byte order.
     * @return the integer value in little-endian format

        String msg = "\u00A1\u00A2"; // two Unicode characters
        byte[] encoded = encodeUnicode(msg);
        assertEquals(4, encoded.length, "Encoded Unicode string should be 4 bytes");

        // Verify little-endian encoding
        assertEquals((byte) 0xA1, encoded[0], "First byte of first character");
        assertEquals((byte) 0x00, encoded[1], "Second byte of first character");