// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package bandwidth

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

const (
	// betaBucket is the weight used to calculate exponential moving average
	betaBucket = 0.1 // Number of averages considered = 1/(1-betaObject)
)

// bucketMeasurement captures the bandwidth details for one bucket
type bucketMeasurement struct {

font-size: calc(1.525rem + 3.3vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-3 {\n    font-size: 4rem;\n  }\n}\n\n.display-4 {\n  font-size: calc(1.475rem + 2.7vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-4 {\n    font-size: 3.5rem;\n  }\n}\n\n.display-5 {\n  font-size: calc(1.425rem + 2.1vw);\n  font-weight: 300;\n  line-height: 1.2;\n}\n@media (min-width: 1200px) {\n  .display-5 {\n    font-size: 3rem;\n  }\n}\n\n.display-6...

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

dth:2em;line-height:inherit}.fa-border{border:.08em solid #eee;border-radius:.1em;padding:.2em .25em .15em}.fa-pull-left{float:left}.fa-pull-right{float:right}.fa.fa-pull-left,.fab.fa-pull-left,.fal.fa-pull-left,.far.fa-pull-left,.fas.fa-pull-left{margin-right:.3em}.fa.fa-pull-right,.fab.fa-pull-right,.fal.fa-pull-right,.far.fa-pull-right,.fas.fa-pull-right{margin-left:.3em}.fa-spin{-webkit-animation:fa-spin 2s linear infinite;animation:fa-spin 2s linear infinite}.fa-pulse{-webkit-animation:fa-spin...

    frame.writeInt(0) // Independent stream.
    frame.writeByte(255) // Heaviest weight, zero-indexed.
    frame.writeAll(headerBytes)
    reader.nextFrame(
      requireSettings = false,
      object : BaseTestHandler() {
        override fun priority(
          streamId: Int,
          streamDependency: Int,
          weight: Int,
          exclusive: Boolean,
        ) {

     */
    public MarkdownExtractor() {
        super();
        initializeParser();
    }

    @Override
    public int getWeight() {
        return 2; // Higher priority than TikaExtractor (weight=1)
    }

    /**
     * Initializes the Markdown parser with extensions.
     */
    protected void initializeParser() {

  .daterangepicker .drp-calendar.left {
    clear: left;
    margin-right: 0;
  }

  .daterangepicker .drp-calendar.left .calendar-table {
    border-right: none;
    border-top-right-radius: 0;
    border-bottom-right-radius: 0;
  }

  .daterangepicker .drp-calendar.right {
    margin-left: 0;
  }

  .daterangepicker .drp-calendar.right .calendar-table {
    border-left: none;

        }
        return leastLoadedChannel != null ? leastLoadedChannel : channels.iterator().next();
    }

    private ChannelInfo selectWeightedRandom(Collection<ChannelInfo> channels) {
        // Calculate total weight
        int totalWeight = 0;
        for (ChannelInfo channel : channels) {
            totalWeight += channel.getScore();
        }

        if (totalWeight == 0) {

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

      this.streamId = streamId
      this.windowSizeIncrement = windowSizeIncrement
    }

    override fun priority(
      streamId: Int,
      streamDependency: Int,
      weight: Int,
      exclusive: Boolean,
    ): Unit = throw UnsupportedOperationException()

    override fun pushPromise(
      streamId: Int,
      associatedStreamId: Int,
      headerBlock: List<Header>,