<url>http://www.apache.org/licenses/LICENSE-2.0.txt</url>
      <distribution>repo</distribution>
    </license>
  </licenses>

  <developers>
    <!-- Sonatype requires that we list someone here. Guava has many contributors: https://github.com/google/guava/graphs/contributors -->
    <developer>
      <id>cpovirk</id>
      <name>Chris Povirk</name>
      <email>******@****.***</email>
    </developer>

# Codificador Compatível com JSON { #json-compatible-encoder }

Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc).

Por exemplo, se você precisar armazená-lo em um banco de dados.

Para isso, **FastAPI** fornece uma função `jsonable_encoder()`.

## Usando a função `jsonable_encoder` { #using-the-jsonable-encoder }

    db_hero = Hero.model_validate(hero)
    session.add(db_hero)
    session.commit()
    session.refresh(db_hero)
    return db_hero


@app.get("/heroes/", response_model=list[HeroPublic])
def read_heroes(
    session: SessionDep,
    offset: int = 0,
    limit: Annotated[int, Query(le=100)] = 100,
):
    heroes = session.exec(select(Hero).offset(offset).limit(limit)).all()
    return heroes

    val autoDownloadAndroidStudio: Boolean,
    @get:Internal
    val runAndroidStudioInHeadlessMode: Boolean,
    @get:Internal
    val androidStudioHome: Provider<String>,
    @get:Internal
    val androidStudioJvmArgs: List<String>,
    providers: ProviderFactory
) : CommandLineArgumentProvider {

    @get:Optional
    @get:Nested
    val studioInstallationProvider = providers.provider {
        if (autoDownloadAndroidStudio) {

NCCL_LIB_PATHS = [
    'lib64/', 'lib/powerpc64le-linux-gnu/', 'lib/x86_64-linux-gnu/', ''
]

# List of files to configure when building Bazel on Apple platforms.
APPLE_BAZEL_FILES = [
    'tensorflow/lite/ios/BUILD', 'tensorflow/lite/objc/BUILD',
    'tensorflow/lite/swift/BUILD',
    'tensorflow/lite/tools/benchmark/experimental/ios/BUILD'
]

# List of files to move when building for iOS.
IOS_FILES = [

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.sso;

import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.app.web.RootAction;
import org.codelibs.fess.app.web.base.FessLoginAction;

          $ref: '#/components/responses/NotFound'
        '500':
          $ref: '#/components/responses/InternalServerError'

  /labels:
    get:
      tags:
        - search
      summary: List labels
      description: Returns available labels
      operationId: listLabels
      responses:
        '200':
          description: Successful operation
          content:
            application/json:

        queryLambda.callback(cq);
        final Collection<FilterFunctionBuilder> list = new ArrayList<>();
        if (functionsLambda != null) {
            functionsLambda.callback((cqLambda, scoreFunctionBuilder) -> {
                GroupCQ cf = new GroupCQ();
                cqLambda.callback(cf);
                list.add(new FilterFunctionBuilder(cf.getQuery(), scoreFunctionBuilder));
            });
        }

# JSON Compatible Encoder

Існують випадки, коли вам може знадобитися перетворити тип даних (наприклад, модель Pydantic) в щось сумісне з JSON (наприклад, `dict`, `list`, і т. д.).

Наприклад, якщо вам потрібно зберегти це в базі даних.

Для цього, **FastAPI** надає `jsonable_encoder()` функцію.

## Використання `jsonable_encoder`

Давайте уявимо, що у вас є база даних `fake_db`, яка приймає лише дані, сумісні з JSON.

#
#   export TFCI=...
#   export TF_BISECT_SCRIPT=ci/official/any.sh
#   export TF_BISECT_GOOD=a_good_commit_sha
#   export TF_BISECT_BAD=a_failing_commit_sha
#   export TF_ANY_TARGETS="quoted list of targets, like on the command line"
#   export TF_ANY_MODE=test
set -exo pipefail
cd "$(dirname "$0")/../../"  # tensorflow/
export TFCI="$(echo $TFCI | sed 's/,nightly_upload/,public_cache,disk_cache/')"