*
   * <p>This test covers a scenario where we write a smaller amount of data first, then write a
   * large amount that crosses the threshold (transitioning from "not at threshold" to "over the
   * threshold"). (We then write some more afterward.) This differs from the existing
   * testThreshold() which writes exactly enough bytes to fill the buffer, then immediately writes
   * more bytes.
   *

   *
   * <p>This test covers a scenario where we write a smaller amount of data first, then write a
   * large amount that crosses the threshold (transitioning from "not at threshold" to "over the
   * threshold"). (We then write some more afterward.) This differs from the existing
   * testThreshold() which writes exactly enough bytes to fill the buffer, then immediately writes
   * more bytes.
   *

      // uncheckedCastNullableTToT is safe because bufferSize > 0.
      if (comparator.compare(elem, uncheckedCastNullableTToT(threshold)) > 0) {
        threshold = elem;
      }
      // uncheckedCastNullableTToT is safe because bufferSize > 0.
    } else if (comparator.compare(elem, uncheckedCastNullableTToT(threshold)) < 0) {
      // Otherwise, we can ignore elem; we've seen k better elements.
      buffer[bufferSize++] = elem;

   */
  @VisibleForTesting transient long[] entries;

  /** The load factor. */
  private transient float loadFactor;

  /** When we have this many elements, resize the hashtable. */
  private transient int threshold;

  /** Constructs a new empty instance of {@code ObjectCountHashMap}. */
  ObjectCountHashMap() {
    init(DEFAULT_SIZE, DEFAULT_LOAD_FACTOR);
  }

  ObjectCountHashMap(ObjectCountHashMap<? extends K> map) {

package cmd

import (
	"math"
	"sync"
	"sync/atomic"
	"time"
)

const (
	dynamicTimeoutIncreaseThresholdPct = 0.33 // Upper threshold for failures in order to increase timeout
	dynamicTimeoutDecreaseThresholdPct = 0.10 // Lower threshold for failures in order to decrease timeout
	dynamicTimeoutLogSize              = 16
	maxDuration                        = math.MaxInt64

mapreduce.reduce.shuffle.input.buffer.percent=0.9 # Min % buffer in RAM
mapreduce.reduce.shuffle.merge.percent=0.9 # Minimum % merges in RAM
mapreduce.reduce.speculative=false # Disable speculation for reducing
mapreduce.task.io.sort.factor=999 # Threshold before writing to disk
mapreduce.task.sort.spill.percent=0.9 # Minimum % before spilling to disk
```

     * (usually) must retry.
     */
    int modCount;

    /**
     * The table is expanded when its size exceeds this threshold. (The value of this field is
     * always {@code (int) (capacity * 0.75)}.)
     */
    int threshold;

    /** The per-segment table. */
    volatile @Nullable AtomicReferenceArray<E> table;

    /**

    }

    void initTable(AtomicReferenceArray<ReferenceEntry<K, V>> newTable) {
      this.threshold = newTable.length() * 3 / 4; // 0.75
      if (!map.customWeigher() && this.threshold == maxSegmentWeight) {
        // prevent spurious expansion before eviction
        this.threshold++;
      }
      this.table = newTable;
    }

    @GuardedBy("this")

			path:   "bucket/dirwithalot/0",
			size:   filesBelowT,
			objs:   filesBelowT,
			oSizes: sizeHistogram{0: filesBelowT},
		},
		{
			// Gets compacted at this level (below obj threshold)...
			path:   "bucket/dirwithalot/0",
			size:   filesBelowT,
			objs:   filesBelowT,
			oSizes: sizeHistogram{0: filesBelowT},
		},
		{
			// Gets compacted at this level...

                context.parsingFailed = true;
                context.parserRequest
                        .logger()
                        .error("Invalid fail on severity threshold '" + c
                                + "'. Supported values are 'WARN', 'WARNING' and 'ERROR'.");
            }
        });
        options.altUserSettings()
                .ifPresent(userSettings ->