import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**
 * Signifies that a test should not be run under Android. This annotation is respected only by our
 * Google-internal Android suite generators. Note that those generators also suppress any test
 * annotated with LargeTest.
 *
 * <p>For more discussion, see {@linkplain com.google.common.base.AndroidIncompatible the

    /**
     * Indicates root targets in the DFS referral.
     */
    public static final int TYPE_ROOT_TARGETS = 0x0;
    /**
     * Indicates non-root targets in the DFS referral.
     */
    public static final int TYPE_NON_ROOT_TARGETS = 0x1;

    private final DfsReferralResponseBuffer dfsResponse = new DfsReferralResponseBuffer();

    /**

                    implementation(project(":internal-architecture-testing"))
                }
            }

            targets {
                all {
                    testTask.configure {
                        useJUnitPlatform {
                            includeEngines("archunit")
                        }

### `pydantic-settings` installieren { #install-pydantic-settings }

     * <p>
     * <strong>Note:</strong> This method loads the entire file into memory.
     * For files larger than {@value #MAX_BUF_SIZE} bytes (10MB), an
     * {@link IORuntimeException} will be thrown to prevent OutOfMemoryError.
     * For large files, use streaming APIs instead.
     * </p>
     *
     * @param file
     *            The file. Must not be {@literal null}.

* `datetime.timedelta`:
    * 一个 Python `datetime.timedelta`.
    * 在请求和响应中将表示为 `float` 代表总秒数。
    * Pydantic 也允许将其表示为 "ISO 8601 时间差异编码", <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">查看文档了解更多信息</a>。
* `frozenset`:
    * 在请求和响应中，作为 `set` 对待：
        * 在请求中，列表将被读取，消除重复，并将其转换为一个 `set`。
        * 在响应中 `set` 将被转换为 `list` 。

    }

    /**
     * Test readBytes with large file throws exception
     *
     * @throws Exception
     */
    @Test
    public void testReadBytes_LargeFile() throws Exception {
        final File largeFile = tempFolder.newFile("large.dat");

        // Create a file larger than MAX_BUF_SIZE (10MB)
        // Write 11MB of data

### Instalar `pydantic-settings` { #install-pydantic-settings }

Primeiro, certifique-se de criar seu [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ativá-lo e então instalar o pacote `pydantic-settings`:

<div class="termy">

---

TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build-arm64:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/ml_build_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"
TFCI_OUTPUT_DIR=build_output
TFCI_WHL_AUDIT_ENABLE=1