ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteTensorHandle(retvals[0]);
  float output[2] = {0};
  EXPECT_EQ(sizeof(output), TF_TensorByteSize(t));
  memcpy(&output[0], TF_TensorData(t), TF_TensorByteSize(t));
  TF_DeleteTensor(t);
  EXPECT_EQ(1, output[0]);
  EXPECT_EQ(3, output[1]);
  TFE_DeleteContext(ctx);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

              <!--
                JPMS needs access to the module sources to complete a modular Java build. We also need to override the
                base compile settings (in the root `pom.xml`) to enable MRJAR output.
              -->
              <compilerArgs combine.self="override">
                <arg>-sourcepath</arg>
                <arg>${project.basedir}/src</arg>

fi

# Create and expand to the full path of TFCI_OUTPUT_DIR
export TFCI_OUTPUT_DIR=$(realpath "$TFCI_OUTPUT_DIR")
mkdir -p "$TFCI_OUTPUT_DIR"

# In addition to dumping all script output to the terminal, place it into
# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run

```

Esto generará un SDK de TypeScript en `./src/client`.

Puedes aprender cómo [instalar `@hey-api/openapi-ts`](https://heyapi.dev/openapi-ts/get-started) y leer sobre el [output generado](https://heyapi.dev/openapi-ts/output) en su sitio web.

### Usar el SDK { #using-the-sdk }

Ahora puedes importar y usar el código del cliente. Podría verse así, nota que tienes autocompletado para los métodos:

 * Side Public License, v 1.
 */
package org.elasticsearch.gradle.internal.precommit;

import de.thetaphi.forbiddenapis.cli.CliMain;
import org.apache.commons.io.output.NullOutputStream;
import org.elasticsearch.gradle.OS;
import org.elasticsearch.gradle.dependencies.CompileOnlyResolvePlugin;
import org.gradle.api.DefaultTask;
import org.gradle.api.JavaVersion;

    destinationFile = futurePluginVersionsPropertiesFile
}
val futurePluginVersionsDestDir = futurePluginVersionsPropertiesFile.map { it.asFile.parentFile }
sourceSets.main {
    output.dir(mapOf("builtBy" to writeFuturePluginVersions), futurePluginVersionsDestDir)
}
configurations.runtimeElements {
    outgoing {
        variants.named("resources") {
            artifact(futurePluginVersionsDestDir) {

    @TaskAction
    fun fixProjectHealth() {
        if (!errorLogFile.exists()) {
            println("Error log not found! Run the projectHealth check first and redirect output.")
            return
        }

        val dependencyFixes = mutableMapOf<String, MutableList<String>>()
        val dependenciesToRemove = mutableMapOf<String, MutableList<String>>()

    }
    this.functions = functions;
  }

  /**
   * Constructs a {@code HashCode} from the {@code Hasher} objects of the functions. Each of them
   * has consumed the entire input and they are ready to output a {@code HashCode}. The order of the
   * hashers are the same order as the functions given to the constructor.
   */
  // this could be cleaner if it passed HashCode[], but that would create yet another array...

     * @param projectId The {@code <groupId>:<artifactId>:<version>} of the corresponding project, may be {@code null}
     *            to force output of model id and source.
     * @return The formatted problem location or an empty string if unknown, never {@code null}.
     */
    public static String formatLocation(ModelProblem problem, String projectId) {

* deprecated: descontinuado
* docs: documentação
* FastAPI app: aplicação FastAPI
* framework: framework (do not translate)
* feature: funcionalidade
* guides: tutoriais
* I/O (as in "input and output"): I/O (do not translate to "E/S")
* JSON Schema: JSON Schema
* library: biblioteca
* lifespan: lifespan (do not translate to "vida útil")
* list (as in Python list): list
* Machine Learning: Aprendizado de Máquina