user = fake_decode_token(token)
    if not user:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Not authenticated",
            headers={"WWW-Authenticate": "Bearer"},
        )
    return user


async def get_current_active_user(
    current_user: Annotated[User, Depends(get_current_user)],
):
    if current_user.disabled:

        final List<StemmerOverrideItem> itemList = new ArrayList<>();
        try (BufferedReader reader = new BufferedReader(new InputStreamReader(in, Constants.UTF_8))) {
            long id = 0;
            String line = null;
            while ((line = reader.readLine()) != null) {
                // Remove comments

    * параметра запроса.
    * HTTP-заголовка.
    * cookie.
* `http`: стандартные системы аутентификации по HTTP, включая:
    * `bearer`: HTTP-заголовок `Authorization` со значением `Bearer ` плюс токен. Это унаследовано от OAuth2.
    * Базовая аутентификация по HTTP.
    * HTTP Digest и т.д.
* `oauth2`: все способы OAuth2 для обеспечения безопасности (называются «потоками»).

	"time"

	"github.com/dustin/go-humanize"
	"github.com/minio/minio/internal/kms"
)

// Return pointer to testOneByteReadEOF{}
func newTestReaderEOF(data []byte) io.Reader {
	return &testOneByteReadEOF{false, data}
}

// OneByteReadEOF - implements io.Reader which returns 1 byte along with io.EOF error.
type testOneByteReadEOF struct {
	eof  bool
	data []byte
}

func (r *testOneByteReadEOF) Read(p []byte) (n int, err error) {

import com.google.common.reflect.TypeToken;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.Reader;
import java.io.StringReader;
import java.io.StringWriter;
import java.io.Writer;
import java.lang.reflect.Method;
import java.lang.reflect.Type;
import java.math.BigDecimal;
import java.math.BigInteger;

                }
                if (blob.getSize() < maxCachedContentSize) {
                    try (InputStream contentStream = new BufferedInputStream(Channels.newInputStream(blob.reader()))) {
                        responseData.setResponseBody(InputStreamUtil.getBytes(contentStream));
                    } catch (final Exception e) {

--- | --- | --- | ---
regular | standard | 97 | 3.6MB
regular | jstream | 175 | 2.1MB
large | standard | 92 | 305MB
large | jstream | 404 | 69MB

In a real world scenario, including initialization and reader overhead from varying blob sizes, performance can be expected as below:

            timeZone = TimeZone.getTimeZone("UTC")
        }

        fun readBuildReceiptFromString(buildReceipt: String) =
            Properties().apply { load(buildReceipt.reader()) }

        const val buildReceiptFileName = "build-receipt.properties"
        const val buildReceiptLocation = "org/gradle/$buildReceiptFileName"
    }

    @get:Input
    abstract val version: Property<String>

import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for {@link CharStreams#copy}.
 *
 * <p>{@link CharStreams#copy} has type specific optimizations for various common Appendable and
 * Reader implementations, this compares the performance of the different options.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
@NullUnmarked

            : EnumMultiset.create(asList(elements));
      }
    };
  }

  private enum Color {
    BLUE,
    RED,
    YELLOW,
    GREEN,
    WHITE
  }

  private enum Gender {
    MALE,
    FEMALE
  }

  public void testClassCreate() {
    Multiset<Color> ms = EnumMultiset.create(Color.class);
    ms.add(Color.RED);
    ms.add(Color.YELLOW);
    ms.add(Color.RED);