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package org.apache.spark.test

import org.apache.spark.{HashPartitioner, RangePartitioner, SparkContext, SparkConf}
import org.apache.spark.SparkContext._
import scala.collection.mutable.{ArrayBuffer, ListBuffer}

/**
 * Partitioner Test
 */
object PartitionerTest {

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object Solution498 {
    def findDiagonalOrder(matrix: Array[Array[Int]]): Array[Int] = {
        if (matrix.length == 0 || matrix(0).length == 0) Array.empty[Int]
        else {
            val (row, column) = (matrix.length - 1, matrix(0).length - 1)
            var flag = true
            (0 to row + column).flatMap { sum =>
                val (low, high) = (0 max (sum - column), row min sum)
                val range = if (flag) (high to low by -1) else (low to high)
                flag = !flag

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object Solution {
  def powMod(x: Int, y: Int, mod: Int): Int = {
    if (y == 0) 1
    else {
      val half = powMod(x, y / 2, mod)
      if (y % 2 == 0) half * half % mod 
      else (half * half % mod) * (x % mod) % mod
    }
  }