* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.convert;

import junit.framework.TestCase;

/**
 * @author higa
 *
 */
public class ByteConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.convert;

import junit.framework.TestCase;

/**
 * @author higa
 *
 */
public class DoubleConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.convert;

import junit.framework.TestCase;

/**
 * @author higa
 *
 */
public class FloatConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */

You can also use Pydantic models as subtypes of `list`, `set`, etc.:

{* ../../docs_src/body_nested_models/tutorial006_py310.py hl[18] *}

This will expect (convert, validate, document, etc.) a JSON body like:

```JSON hl_lines="11"
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": [
        "rock",

To update an item you can use the <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">HTTP `PUT`</a> operation.

You can use the `jsonable_encoder` to convert the input data to data that can be stored as JSON (e.g. with a NoSQL database). For example, converting `datetime` to `str`.

{* ../../docs_src/body_updates/tutorial001_py310.py hl[28:33] *}

# HTTP Basic Auth

Para os casos mais simples, você pode utilizar o HTTP Basic Auth.

No HTTP Basic Auth, a aplicação espera um cabeçalho que contém um usuário e uma senha.

Caso ela não receba, ela retorna um erro HTTP 401 "Unauthorized" (*Não Autorizado*).

E retorna um cabeçalho `WWW-Authenticate` com o valor `Basic`, e um parâmetro opcional `realm`.

Isso sinaliza ao navegador para mostrar o prompt integrado para um usuário e senha.

 * it delegates to other components that potentially encounter problems. Then, the problem reporter can focus on
 * providing a simple error message, leaving the donkey work of creating a nice model problem to this component.
 *
 */
public interface ModelProblemCollector {

    ProblemCollector<ModelProblem> getProblemCollector();

    default boolean hasErrors() {

2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```
(You can paste links or attach files by dragging & dropping them below)

     * Handles both search fields and default field queries with proper range semantics.
     *
     * @param context the query context
     * @param termRangeQuery the term range query to convert
     * @param boost the boost value to apply
     * @return the converted QueryBuilder
     */
    protected QueryBuilder convertTermRangeQuery(final QueryContext context, final TermRangeQuery termRangeQuery, final float boost) {

		t.Fatalf("expected function name %v; got %v", symName, funcName)
	}
	fi1, err := os.Stat("addr2line_test.go")
	if err != nil {
		t.Fatalf("Stat failed: %v", err)
	}

	// Debug paths are stored slash-separated, so convert to system-native.
	srcPath = filepath.FromSlash(srcPath)
	fi2, err := os.Stat(srcPath)
	if err != nil {
		t.Fatalf("Stat failed: %v", err)
	}
	if !os.SameFile(fi1, fi2) {