//
		// import org.apache.spark.sql.SparkSession
		// import org.apache.spark.sql.types.{IntegerType, StringType, StructField, StructType}
		// object SparkJSONRead {
		//   def main(args: Array[String]): Unit = {
		//     val spark:SparkSession = SparkSession.builder()
		//       .appName("SparkByExample")
		//       .master("local[1]").getOrCreate()
		//
		//     spark.sparkContext.setLogLevel("ERROR")

econds_summary and *_admission_latencies_milliseconds metrics due to reporting wrong unit (was labelled milliseconds, but reported seconds), and multiple naming guideline violations (units should be in base units and "duration" is the best practice labelling to measure the time a request takes). Please convert to use *_admission_duration_seconds and *_admission_duration_seconds_summary, these now report the unit as described, and follow the instrumentation best practices. ([#75279](https://githu...

agro.bj
architectes.bj
assur.bj
avocats.bj
co.bj
com.bj
eco.bj
econo.bj
edu.bj
info.bj
loisirs.bj
money.bj
net.bj
org.bj
ote.bj
resto.bj
restaurant.bj
tourism.bj
univ.bj

// bm : http://www.bermudanic.bm/dnr-text.txt
bm
com.bm
edu.bm
gov.bm
net.bm
org.bm

// bn : http://www.bnnic.bn/faqs
bn
com.bn
edu.bn
gov.bn
net.bn
org.bn

  returns `nil`. (It now returns a pointer to a zero-valued object, like the real
  clients do.) This will break some downstream unit tests that were testing
  `result == nil` rather than `err != nil`, and in some cases may expose bugs

import org.opensearch.common.document.DocumentField;
import org.opensearch.common.settings.Settings;
import org.opensearch.common.settings.Settings.Builder;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.core.action.ActionListener;
import org.opensearch.core.action.ActionResponse;
import org.opensearch.core.rest.RestStatus;

            }

            override fun connectFailed(
              uri: URI,
              address: SocketAddress,
              failure: IOException,
            ): Unit = throw AssertionError()
          },
        ).build()
    server2.enqueue(
      MockResponse(body = "This is the 2nd server!"),
    )
    server.enqueue(
      MockResponse(

* Fix GCI mounter issue ([#38124](https://github.com/kubernetes/kubernetes/pull/38124), [@jingxu97](https://github.com/jingxu97))
* fix mesos unit tests ([#38196](https://github.com/kubernetes/kubernetes/pull/38196), [@deads2k](https://github.com/deads2k))

learQueue","tmp","count","defer","pnum","source","rcssNum","cssExpand","isAttached","composed","getRootNode","isHiddenWithinTree","style","display","css","adjustCSS","valueParts","tween","adjusted","scale","maxIterations","currentValue","initial","unit","cssNumber","initialInUnit","defaultDisplayMap","showHide","show","values","body","hide","toggle","div","rcheckableType","rtagName","rscriptType","createDocumentFragment","checkClone","cloneNode","noCloneChecked","defaultValue","option","wrapMap"...

learQueue","tmp","count","defer","pnum","source","rcssNum","cssExpand","isAttached","composed","getRootNode","isHiddenWithinTree","style","display","css","adjustCSS","valueParts","tween","adjusted","scale","maxIterations","currentValue","initial","unit","cssNumber","initialInUnit","defaultDisplayMap","showHide","show","values","body","hide","toggle","div","rcheckableType","rtagName","rscriptType","createDocumentFragment","checkClone","cloneNode","noCloneChecked","defaultValue","option","wrapMap"...

        `tf.keras.optimizers.Optimizer`/`Adam`/etc will point to the new
        optimizers, and the previous generation of optimizers will be moved to
        `tf.keras.optimizers.legacy.Optimizer`/`Adam`/etc.
    *   Added L2 unit normalization layer `tf.keras.layers.UnitNormalization`.
    *   Added `tf.keras.regularizers.OrthogonalRegularizer`, a new regularizer
        that encourages orthogonality between the rows (or columns) or a weight