Github user mengxr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1520#discussion_r15389923
  
    --- Diff: 
mllib/src/test/scala/org/apache/spark/mllib/random/DistributionGeneratorSuite.scala
 ---
    @@ -0,0 +1,91 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.mllib.random
    +
    +import org.scalatest.FunSuite
    +
    +import org.apache.spark.util.StatCounter
    +
    +// TODO update tests to use TestingUtils for floating point comparison 
after PR 1367 is merged
    +class DistributionGeneratorSuite extends FunSuite {
    +
    +  def apiChecks(gen: DistributionGenerator) {
    +
    +    // resetting seed should generate the same sequence of random numbers
    +    gen.setSeed(42L)
    +    val array1 = (0 until 1000).map(_ => gen.nextValue())
    +    gen.setSeed(42L)
    +    val array2 = (0 until 1000).map(_ => gen.nextValue())
    +    assert(array1.equals(array2))
    +
    +    // newInstance should contain a difference instance of the rng
    +    // i.e. setting difference seeds for difference instances produces 
different sequences of
    +    // random numbers.
    +    val gen2 = gen.copy()
    +    gen.setSeed(0L)
    +    val array3 = (0 until 1000).map(_ => gen.nextValue())
    +    gen2.setSeed(1L)
    +    val array4 = (0 until 1000).map(_ => gen2.nextValue())
    +    // Compare arrays instead of elements since individual elements can 
coincide by chance but the
    +    // sequences should differ given two different seeds.
    +    assert(!array3.equals(array4))
    +
    +    // test that setting the same seed in the copied instance produces the 
same sequence of numbers
    +    gen.setSeed(0L)
    +    val array5 = (0 until 1000).map(_ => gen.nextValue())
    +    gen2.setSeed(0L)
    +    val array6 = (0 until 1000).map(_ => gen2.nextValue())
    +    assert(array5.equals(array6))
    +  }
    +
    +  def distributionChecks(gen: DistributionGenerator,
    +      mean: Double = 0.0,
    +      stddev: Double = 1.0,
    +      epsilon: Double = 1e-3) {
    +    for (seed <- 0 until 5) {
    +      gen.setSeed(seed.toLong)
    +      val sample = (0 until 10000000).map { _ => gen.nextValue()}
    --- End diff --
    
    Just curious, how long does the entire test suite take to finish?


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