// +optional
  optional string name = 1;

  // GenerateName is an optional prefix, used by the server, to generate a unique
  // name ONLY IF the Name field has not been provided.
  // If this field is used, the name returned to the client will be different
  // than the name passed. This value will also be combined with a unique suffix.

config_setting(
    name = "arm",
    values = {"cpu": "arm"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "armeabi",
    values = {"cpu": "armeabi"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "armeabi-v7a",
    values = {"cpu": "armeabi-v7a"},
    visibility = ["//visibility:public"],
)

config_setting(
    name = "arm64-v8a",

        val paramSignatureByName = signatureOfCallee.valueParameters.associateBy {
            // We intentionally use `symbol.name` instead of `name` here, since
            // `FirValueParameter.name` is not affected by the `@ParameterName`
            it.symbol.name
        }
        val ktArgumentMapping = LinkedHashMap<KtExpression, KtVariableLikeSignature<KtValueParameterSymbol>>()

 * The query is optional: it can be null, empty, or non-empty. For many HTTP URLs the query string
 * is subdivided into a collection of name-value parameters. This class offers methods to set the
 * query as the single string, or as individual name-value parameters. With name-value parameters
 * the values are optional and names may be repeated.
 *
 * ### Fragment
 *

```
KEY:
notify_amqp[:name]  publish bucket notifications to AMQP endpoints

ARGS:
url*           (url)       AMQP server endpoint e.g. `amqp://myuser:mypassword@localhost:5672`
exchange       (string)    name of the AMQP exchange
exchange_type  (string)    AMQP exchange type

                scope.getFunctions(name).mapTo(this) { AvailableSymbol(it, importKind) }
            }
        }
    }

    fun findPropertiesInScopes(scopes: List<FirScope>, name: Name): List<AvailableSymbol<FirVariableSymbol<*>>> {
        return scopes.flatMap { scope ->
            val importKind = ImportKind.fromScope(scope)
            scope.getProperties(name).map {
                AvailableSymbol(it, importKind)
            }

    protocol: Protocol,
    mockWebServer: MockWebServer,
  ) {
    setUp(protocol, mockWebServer)
    val cookieJar = RecordingCookieJar()
    val requestCookie =
      Cookie.Builder()
        .name("a")
        .value("b")
        .domain(server.hostName)
        .build()
    cookieJar.enqueueRequestCookies(requestCookie)
    client =
      client.newBuilder()
        .cookieJar(cookieJar)

build:rbe_linux_cpu --copt=-Wno-gnu-offsetof-extensions
# Python config is the same across all containers because the binary is the same
build:rbe_linux_cpu --repo_env=TF_PYTHON_CONFIG_REPO="@sigbuild-r2.17-clang_config_python"
build:rbe_linux_cpu --python_path="/usr/bin/python3"
# These you may need to change for your own GCP project.
common:rbe_linux_cpu --remote_instance_name=projects/tensorflow-testing/instances/default_instance

	public final fun getInstant (Ljava/lang/String;)Ljava/time/Instant;
	public fun hashCode ()I
	public fun iterator ()Ljava/util/Iterator;
	public final fun name (I)Ljava/lang/String;
	public final fun names ()Ljava/util/Set;
	public final fun newBuilder ()Lokhttp3/Headers$Builder;
	public static final fun of (Ljava/util/Map;)Lokhttp3/Headers;
	public static final fun of ([Ljava/lang/String;)Lokhttp3/Headers;

    В данном случае это та же самая директория (`.`).

### Запуск Docker-контейнера

* Запустите контейнер, основанный на вашем образе:

<div class="termy">

```console
$ docker run -d --name mycontainer -p 80:80 myimage
```

</div>

## Проверка