* either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.app.web.base;

import java.util.Map;
import java.util.function.Consumer;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.beans.util.BeanUtil;
import org.codelibs.core.beans.util.CopyOptions;

  }

  /**
   * Computes the function of current and new value. Subclasses should open-code this update
   * function for most uses, but the virtualized form is needed within retryUpdate.
   *
   * @param currentValue the current value (of either base or a cell)
   * @param newValue the argument from a user update call
   * @return result of the update function
   */
  abstract long fn(long currentValue, long newValue);

In this case, we pass a dependency function `get_current_active_user` to `Security` (the same way we would do with `Depends`).

But we also pass a `list` of scopes, in this case with just one scope: `items` (it could have more).

And the dependency function `get_current_active_user` can also declare sub-dependencies, not only with `Depends` but also with `Security`. Declaring its own sub-dependency function (`get_current_user`), and more scope requirements.

    // we pad because the dummy hash function we use to test this, merely copies the input into
    // the output, so the input must be at least 32 bits, since the output has to be that long
    assertPutString(new char[] {'p', HashTestUtils.randomLowSurrogate(new Random())});
  }

  public void testPutStringWithHighSurrogate() {
    // we pad because the dummy hash function we use to test this, merely copies the input into

import java.util.Iterator;
import java.util.Map;
import java.util.Set;
import java.util.SortedMap;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.BiFunction;
import java.util.function.BinaryOperator;
import java.util.function.Function;
import java.util.stream.Collector;
import java.util.stream.Collectors;
import org.jspecify.annotations.Nullable;

/**

    private static final int NTT_PRIMARY_SETUP_OFFSET = 69;
    private static final int NTT_SECONDARY_PARAMETER_OFFSET = 51;

    static final int NT_TRANSACT_QUERY_SECURITY_DESC = 6;

    int function;

    SmbComNtTransaction() {
        primarySetupOffset = NTT_PRIMARY_SETUP_OFFSET;
        secondaryParameterOffset = NTT_SECONDARY_PARAMETER_OFFSET;
    }

    @Override

import java.util.Collections;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;

import org.codehaus.plexus.classworlds.realm.ClassRealm;

import static java.util.function.Function.identity;
import static java.util.stream.Collectors.collectingAndThen;
import static java.util.stream.Collectors.toMap;

/**

To stream JSON Lines with FastAPI you can, instead of using `return` in your *path operation function*, use `yield` to produce each item in turn.

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[24] *}

If each JSON item you want to send back is of type `Item` (a Pydantic model) and it's an async function, you can declare the return type as `AsyncIterable[Item]`:

Bu şekilde **video** veya **ses** de akıtabilirsiniz; hatta işledikçe üretilip gönderilebilir.

## `yield` ile bir `StreamingResponse` { #a-streamingresponse-with-yield }

*Path operation function* içinde `response_class=StreamingResponse` belirtirseniz, her veri parçasını sırayla göndermek için `yield` kullanabilirsiniz.

{* ../../docs_src/stream_data/tutorial001_py310.py ln[1:23] hl[20,23] *}

     * @param context the query context
     * @param field the field name
     * @param text the query text
     * @param boost the boost value
     * @param defaultBuilder function to build default queries
     * @param fieldBuilder function to build field-specific queries
     * @return the constructed query builder
     */