QuantileDiscretizer raise error parameter splits given invalid value (splits array includes -0.0 and 0.0)

Reproduce code

import scala.util.Random
val rng = new Random(3)

val a1 = Array.tabulate(200)(_=>rng.nextDouble * 2.0 - 1.0) ++ Array.fill(20)(0.0) ++ Array.fill(20)(-0.0)

import spark.implicits._
val df1 = sc.parallelize(a1, 2).toDF("id")

import org.apache.spark.ml.feature.QuantileDiscretizer
val qd = new QuantileDiscretizer().setInputCol("id").setOutputCol("out").setNumBuckets(200).setRelativeError(0.0)

val model = qd.fit(df1)

Raise error like:

at org.apache.spark.ml.param.Param.validate(params.scala:76)
at org.apache.spark.ml.param.ParamPair.<init>(params.scala:634)
at org.apache.spark.ml.param.Param.$minus$greater(params.scala:85)
at org.apache.spark.ml.param.Params.set(params.scala:713)
at org.apache.spark.ml.param.Params.set$(params.scala:712)
at org.apache.spark.ml.PipelineStage.set(Pipeline.scala:41)
at org.apache.spark.ml.feature.Bucketizer.setSplits(Bucketizer.scala:77)
at org.apache.spark.ml.feature.QuantileDiscretizer.fit(QuantileDiscretizer.scala:231)
... 49 elided
java.lang.IllegalArgumentException: quantileDiscretizer_479bb5a3ca99 parameter splits given invalid value [-Infinity,-0.9986765732730827,..., -0.0, 0.0, ..., 0.9907184077958491,Infinity]

0.0 > -0.0 is False, which break the paremater validation check.