}

    public void setMaxSize_Avg(ConditionOptionCall<AvgAggregationBuilder> opLambda) {
        setMaxSize_Avg("maxSize", opLambda);
    }

    public void setMaxSize_Avg(String name, ConditionOptionCall<AvgAggregationBuilder> opLambda) {
        AvgAggregationBuilder builder = regAvgA(name, "maxSize");
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

                                    <label for="maxSize" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.key_match_size"/></label>
                                    <div class="form-inline col-sm-9">
                                        <la:errors property="maxSize"/>
                                        <input type="number" name="maxSize" id="maxSize"

 * small portion of these would be in use.
 *
 * <p>Prior to this class, one might be tempted to use {@code Map<K, Lock>}, where {@code K}
 * represents the task. This maximizes concurrency by having each unique key mapped to a unique
 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing

        this(cfg.getBufferCacheSize(), cfg.getMaximumBufferSize());
    }


    /**
     * @param maxBuffers
     * @param maxSize
     * 
     */
    public BufferCacheImpl ( int maxBuffers, int maxSize ) {
        this.cache = new Object[maxBuffers];
        this.bufferSize = maxSize;
    }


    /**
     * {@inheritDoc}
     *
     * @see jcifs.BufferCache#getBuffer()
     */
    @Override

import okhttp3.internal.connection.RealCall
import okhttp3.internal.connection.RealConnection
import okio.FileSystem
import okio.Path

internal fun buildCache(
  file: Path,
  maxSize: Long,
  fileSystem: FileSystem,
): Cache {
  return Cache(fileSystem, file, maxSize)
}

internal var RealConnection.idleAtNsAccessor: Long
  get() = idleAtNs
  set(value) {
    idleAtNs = value
  }

  constructor(directory: File, maxSize: Long) : this(
    FileSystem.SYSTEM,
    directory.toOkioPath(),
    maxSize,
  )

  internal val cache =
    DiskLruCache(
      fileSystem = fileSystem,
      directory = directory,
      appVersion = VERSION,
      valueCount = ENTRY_COUNT,
      maxSize = maxSize,
      taskRunner = taskRunner,
    )

        asDocMeta().version(version);
    }

    @Override
    public String toString() {
        return "KeyMatch [boost=" + boost + ", createdBy=" + createdBy + ", createdTime=" + createdTime + ", maxSize=" + maxSize
                + ", query=" + query + ", term=" + term + ", updatedBy=" + updatedBy + ", updatedTime=" + updatedTime + ", docMeta="
                + docMeta + "]";
    }

            false, false, "Long", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnMaxSize = cci("maxSize", "maxSize", null, null, Integer.class, "maxSize", null, false, false, false,
            "Integer", 0, 0, null, null, false, null, null, null, null, null, false);

    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);
      checkMaximumSize(8, 8, maxSize);
    }

    checkMaximumSize(1, 8, Long.MAX_VALUE);
    checkMaximumSize(2, 8, Long.MAX_VALUE);

    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);
      checkMaximumSize(8, 8, maxSize);
    }

    checkMaximumSize(1, 8, Long.MAX_VALUE);
    checkMaximumSize(2, 8, Long.MAX_VALUE);