}
			builder.WriteByte(v)
		}
	}

	if idx < len(expr.Vars) {
		for _, v := range expr.Vars[idx:] {
			builder.AddVar(builder, sql.NamedArg{Value: v})
		}
	}
}

// NamedExpr raw expression for named expr
type NamedExpr struct {
	SQL  string
	Vars []interface{}
}

// Build build raw expression
func (expr NamedExpr) Build(builder Builder) {
	var (
		idx              int
		inName           bool

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.lifecycle.internal.concurrent;

import javax.inject.Inject;
import javax.inject.Named;
import javax.xml.stream.XMLStreamException;

import java.io.IOException;
import java.time.Duration;
import java.time.Instant;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;

TF_Tensor* TF_DequeueNamedTensor(TF_Session* session, int tensor_id,
                                 TF_Status* status) {
  assert(session);
  {
    tensorflow::mutex_lock c(session->graph->mu);
    VLOG(1) << "Dequeuing named tensor with id " << tensor_id
            << ", with input graph: "
            << session->graph->graph.ToGraphDefDebug().DebugString();
  }

  TF_Operation* dequeue_op = TF_GraphOperationByName(

}

// TraceObjName returns name of object being traced
func (td ObjectToDelete) TraceObjName() string {
	return td.ObjectName
}

// TraceVersionID returns version-id of object being traced
func (td ObjectToDelete) TraceVersionID() string {
	return td.VersionID
}

// TraceObjName returns name of object being traced
func (oi ObjectInfo) TraceObjName() string {
	return oi.Name
}

   * effect.
   *
   * <p>This method is equivalent to {@code put(rowKey, columnKey, null)} when both provided keys
   * are valid.
   *
   * @param rowKey row key of mapping to be erased
   * @param columnKey column key of mapping to be erased
   * @return the value previously associated with the keys, or {@code null} if no mapping existed
   *     for the keys
   */
  @CanIgnoreReturnValue

import eu.maveniverse.domtrip.Element;
import eu.maveniverse.domtrip.maven.Coordinates;
import eu.maveniverse.domtrip.maven.MavenPomElements;
import org.apache.maven.api.cli.mvnup.UpgradeOptions;
import org.apache.maven.api.di.Named;
import org.apache.maven.api.di.Priority;
import org.apache.maven.api.di.Singleton;
import org.apache.maven.cling.invoker.mvnup.UpgradeContext;

import static eu.maveniverse.domtrip.maven.MavenPomElements.Elements.ARTIFACT_ID;

 * general way.
 *
 * <p>A good example of usage of this class is for HTML escaping where the replacement array
 * contains information about the named HTML entities such as {@code &amp;} and {@code &quot;} while
 * {@link #escapeUnsafe} is overridden to handle general escaping of the form {@code &#NNNNN;}.
 *

TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you
are working with. When loading untrusted checkpoints, the values of the traced
variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed
variables as part of those interactions (ex: using a string variable to build a

      assertThat(event.responseBody).isEqualTo(body)
    }
    assertThat(event.t.javaClass).isEqualTo(cls)
    assertThat(event.t.message).isEqualTo(message)
  }

  /** Expose this recorder as a frame callback and shim in "ping" events.  */
  fun asFrameCallback() =
    object : WebSocketReader.FrameCallback {
      override fun onReadMessage(text: String) {
        events.add(Message(string = text))
      }

                      builder.put((Class) entry.getKey(), (Impl) entry.getValue());
                    }
                    return (Map) builder.build();
                  }
                })
            .named("ImmutableClassToInstanceMap")
            .withFeatures(
                MapFeature.REJECTS_DUPLICATES_AT_CREATION,
                MapFeature.RESTRICTS_KEYS,
                CollectionFeature.KNOWN_ORDER,