* @return the value as an object
     */
    Object getAsObject(String value);

    /**
     * Returns {@literal true} if this converter can handle the specified type.
     *
     * @param clazz
     *            the type. Must not be {@literal null}
     * @return {@literal true} if this converter can handle the specified type
     */
    boolean isTarget(Class<?> clazz);

	var xl xlMetaV2
	err := xl.Load(data)
	if err != nil {
		t.Fatal(err)
	}
	v0 := xl.versions[0]

	// Saved with signature 0xfe, 0x54, 0xbc, 0x2f
	// Signature must be converted after load.
	wantSig := [4]byte{0x1e, 0x5f, 0xba, 0x4a}
	if v0.header.Signature != wantSig {
		t.Errorf("Wrong signature, want %#v, got %#v", wantSig, v0.header.Signature)
	}
	v, err := xl.getIdx(0)

        ReadingConverter converter2 = new TestReadingConverter();

        converter1.init();
        converter2.init();

        String text = "test";
        String field = "content";

        List<String> readings1 = converter1.convert(text, field, "en");
        List<String> readings2 = converter2.convert(text, field, "ja");

        assertNotNull(readings1);
        assertNotNull(readings2);

     * Resolves and adds the given directory as a source with the given scope and language.
     * If the given directory is null, blank or already in the sources, then this method does nothing.
     * Otherwise, the directory is converted to a path, resolved, normalized and finally added as a new
     * {@link SourceRoot} element if no source exists for these scope, language and normalized directory.
     *

        List<String> results = converter.convert(text, field, "en");

        assertNotNull(results);
    }

    @Test
    public void testMultipleConverterInstances() throws IOException {
        // Test that multiple converter instances work independently
        AnalyzerConverter converter1 = new AnalyzerConverter(client, settings);
        AnalyzerConverter converter2 = new AnalyzerConverter(client, settings);

    /** The key of the message: {item} must be a number. */
    public static final String CONSTRAINTS_TypeDouble_MESSAGE = "{constraints.TypeDouble.message}";

    /** The key of the message: {item} cannot be converted to {propertyType}. */
    public static final String CONSTRAINTS_TypeAny_MESSAGE = "{constraints.TypeAny.message}";

    /** The key of the message: {item} has an unrecognized URI. */

Por exemplo, você não pode colocar um modelo do Pydantic em uma `JSONResponse` sem antes convertê-lo em um `dict` com todos os tipos de dados (como `datetime`, `UUID`, etc) convertidos para tipos compatíveis com JSON.

Para esses casos, você pode usar o `jsonable_encoder` para converter seus dados antes de repassá-los para a resposta:

{* ../../docs_src/response_directly/tutorial001_py310.py hl[5:6,20:21] *}

---
name: TensorFlow Lite Converter Issue
about: Use this template for reporting issues during model conversion to TFLite
labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

// Create a TF_Function from a TF_Graph
//
// Params:
//  fn_body - the graph whose operations (or subset of whose operations) will be
//            converted to TF_Function.
//  fn_name - the name of the new TF_Function. Should match the operation
//            name (OpDef.name) regexp [A-Z][A-Za-z0-9_.\\-/]*.

            This must not be set in your local project, as it is updated by
            tools placing it in the repository. Valid values are: {@code none} (default),
            {@code converted} (repository manager converted this from a Maven 1 POM),
            {@code partner}
            (directly synced from a partner Maven 2 repository), {@code deployed} (was deployed from a Maven 2