}

    // ==========================================================================
    // reindexConfigIndices - atomic alias switching
    // ==========================================================================

    @Test
    public void test_reindexConfigIndices_callsCreateAlias() {
        testClient.existsIndexResult = true;

                    if ("{}".equals(source.trim())) {
                        source = null;
                    }
                    logger.info("[Rebuild] Alias action: remove alias={} from index={}, add alias={} to index={}", aliasName, oldIndexName,
                            aliasName, newIndexName);
                    builder.removeAlias(oldIndexName, aliasName);
                    if (source != null) {

            bool,
            Doc(
                """
                Configuration passed to Pydantic to define if the response model
                should be serialized by alias when an alias is used.

                Read more about it in the
                [FastAPI docs for Response Model - Return Type](https://fastapi.tiangolo.com/tutorial/response-model/#response_model_include-and-response_model_exclude).

alias(
    name = "is_cuda_enabled",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled
# with clang. It does not imply that CUDA support has been enabled.
alias(
    name = "is_cuda_compiler_clang",

Type declarations come in two forms: alias declarations and type definitions.
</p>

<pre class="ebnf">
TypeDecl = "type" ( TypeSpec | "(" { TypeSpec ";" } ")" ) .
TypeSpec = AliasDecl | TypeDef .
</pre>

<h4 id="Alias_declarations">Alias declarations</h4>

<p>
An alias declaration binds an identifier to the given type
[<a href="#Go_1.9">Go 1.9</a>].
</p>

# with Eigen threadpool support
common:mkl_aarch64_threadpool --define=build_with_mkl_aarch64=true
common:mkl_aarch64_threadpool --@compute_library//:openmp=false
common:mkl_aarch64_threadpool -c opt

# This is an alias for the mkl_aarch64_threadpool build.
common:mkl_aarch64 --config=mkl_aarch64_threadpool

# Default CUDA, CUDNN, NCCL and NVSHMEM versions.
common:cuda_version --repo_env=HERMETIC_CUDA_VERSION="12.5.1"

    update your imports accordingly, the old files will be removed in Release
    2.11.
*   `tf.keras.optimizers.experimental.Optimizer` will graduate in Release 2.11,
    which means `tf.keras.optimizers.Optimizer` will be an alias of
    `tf.keras.optimizers.experimental.Optimizer`. The current
    `tf.keras.optimizers.Optimizer` will continue to be supported as
    `tf.keras.optimizers.legacy.Optimizer`,

labels.upgrade_title_configuration=Pemutakhiran
labels.upgrade_data_migration=Migrasi Data
labels.upgrade_reindex=Pengindeksan Ulang
labels.upgrade_start_button=Mulai
labels.replace_aliases=Ganti Alias
labels.reset_dictionaries=Reset Kamus
labels.reindex_start_button=Mulai
labels.targetVersion=Versi Target
labels.target_version=Versi Target
labels.sereq_configuration=Permintaan ke OpenSearch

* Add documentation about handling [CORS (Cross-Origin Resource Sharing)](https://fastapi.tiangolo.com/tutorial/cors/). PR [#169](https://github.com/tiangolo/fastapi/pull/169).

* By default, encode by alias. This allows using Pydantic `alias` parameters working by default. PR [#168](https://github.com/tiangolo/fastapi/pull/168).

## 0.16.0 (2019-04-16)

labels.upgrade_title_configuration=Actualización
labels.upgrade_data_migration=Migración de datos
labels.upgrade_reindex=Reindexación
labels.upgrade_start_button=Iniciar
labels.replace_aliases=Actualizar alias
labels.reset_dictionaries=Restablecer diccionarios
labels.reindex_start_button=Iniciar
labels.targetVersion=Versión de destino
labels.target_version=Versión de destino