Jac*_*cob 4 algorithm optimization f#
我正在努力加强我的F#-fu并决定解决Facebook黑客杯双方问题.我在运行时遇到了一些问题,并且想知道是否有人可以帮我弄清楚它为什么比我的C#等效速度慢得多.
另一篇文章有很好的描述;
资料来源:2011年Facebook黑客杯资格赛
双平方数是整数X,可以表示为两个正方形的总和.例如,10是双平方,因为10 = 3 ^ 2 + 1 ^ 2.给定X,我们如何确定它可以写成两个方格之和的方式?例如,10只能写为3 ^ 2 + 1 ^ 2(我们不计算1 ^ 2 + 3 ^ 2不同).另一方面,25可以写成5 ^ 2 + 0 ^ 2或4 ^ 2 + 3 ^ 2.
你需要解决0≤X≤2,147,483,647这个问题.
例子:
10 => 1
25 => 2
3 => 0
0 => 1
1 => 1
竞争中的数字
1740798996
1257431873
2147483643
602519112
858320077
1048039120
415485223
874566596
1022907856
65
421330820
1041493518
5
1328649093
1941554117
4225
2082925
0
1
3
我的基本策略(我愿意批评)是;
这是F#代码(见底部的代码更改)我写过我相信这个策略对应(运行时间:~8:10);
open System
open System.Collections.Generic
open System.IO
/// Get a sequence of values
let rec range min max =
seq { for num in [min .. max] do yield num }
/// Get a sequence starting from 0 and going to max
let rec zeroRange max = range 0 max
/// Find the maximum number in a list with a starting accumulator (acc)
let rec maxNum acc = function
| [] -> acc
| p::tail when p > acc -> maxNum p tail
| p::tail -> maxNum acc tail
/// A helper for finding max that sets the accumulator to 0
let rec findMax nums = maxNum 0 nums
/// Build a collection of combinations; ie [1,2,3] = (1,1), (1,2), (1,3), (2,2), (2,3), (3,3)
let rec combos range =
seq {
let count = ref 0
for inner in range do
for outer in Seq.skip !count range do
yield (inner, outer)
count := !count + 1
}
let rec squares nums =
let dict = new Dictionary<int, int>()
for s in nums do
dict.[s] <- (s * s)
dict
/// Counts the number of possible double squares for a given number and keeps track of other counts that are provided in the memo dict.
let rec countDoubleSquares (num: int) (memo: Dictionary<int, int>) =
// The highest relevent square is the square root because it squared plus 0 squared is the top most possibility
let maxSquare = System.Math.Sqrt((float)num)
// Our relevant squares are 0 to the highest possible square; note the cast to int which shouldn't hurt.
let relSquares = range 0 ((int)maxSquare)
// calculate the squares up front;
let calcSquares = squares relSquares
// Build up our square combinations; ie [1,2,3] = (1,1), (1,2), (1,3), (2,2), (2,3), (3,3)
for (sq1, sq2) in combos relSquares do
let v = calcSquares.[sq1] + calcSquares.[sq2]
// Memoize our relevant results
if memo.ContainsKey(v) then
memo.[v] <- memo.[v] + 1
// return our count for the num passed in
memo.[num]
// Read our numbers from file.
//let lines = File.ReadAllLines("test2.txt")
//let nums = [ for line in Seq.skip 1 lines -> Int32.Parse(line) ]
// Optionally, read them from straight array
let nums = [1740798996; 1257431873; 2147483643; 602519112; 858320077; 1048039120; 415485223; 874566596; 1022907856; 65; 421330820; 1041493518; 5; 1328649093; 1941554117; 4225; 2082925; 0; 1; 3]
// Initialize our memoize dictionary
let memo = new Dictionary<int, int>()
for num in nums do
memo.[num] <- 0
// Get the largest number in our set, all other numbers will be memoized along the way
let maxN = findMax nums
// Do the memoize
let maxCount = countDoubleSquares maxN memo
// Output our results.
for num in nums do
printfn "%i" memo.[num]
// Have a little pause for when we debug
let line = Console.Read()
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这是我在C#中的版本(运行时间:~1:40:
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.Linq;
using System.Text;
namespace FBHack_DoubleSquares
{
public class TestInput
{
public int NumCases { get; set; }
public List<int> Nums { get; set; }
public TestInput()
{
Nums = new List<int>();
}
public int MaxNum()
{
return Nums.Max();
}
}
class Program
{
static void Main(string[] args)
{
// Read input from file.
//TestInput input = ReadTestInput("live.txt");
// As example, load straight.
TestInput input = new TestInput
{
NumCases = 20,
Nums = new List<int>
{
1740798996,
1257431873,
2147483643,
602519112,
858320077,
1048039120,
415485223,
874566596,
1022907856,
65,
421330820,
1041493518,
5,
1328649093,
1941554117,
4225,
2082925,
0,
1,
3,
}
};
var maxNum = input.MaxNum();
Dictionary<int, int> memo = new Dictionary<int, int>();
foreach (var num in input.Nums)
{
if (!memo.ContainsKey(num))
memo.Add(num, 0);
}
DoMemoize(maxNum, memo);
StringBuilder sb = new StringBuilder();
foreach (var num in input.Nums)
{
//Console.WriteLine(memo[num]);
sb.AppendLine(memo[num].ToString());
}
Console.Write(sb.ToString());
var blah = Console.Read();
//File.WriteAllText("out.txt", sb.ToString());
}
private static int DoMemoize(int num, Dictionary<int, int> memo)
{
var highSquare = (int)Math.Floor(Math.Sqrt(num));
var squares = CreateSquareLookup(highSquare);
var relSquares = squares.Keys.ToList();
Debug.WriteLine("Starting - " + num.ToString());
Debug.WriteLine("RelSquares.Count = {0}", relSquares.Count);
int sum = 0;
var index = 0;
foreach (var square in relSquares)
{
foreach (var inner in relSquares.Skip(index))
{
sum = squares[square] + squares[inner];
if (memo.ContainsKey(sum))
memo[sum]++;
}
index++;
}
if (memo.ContainsKey(num))
return memo[num];
return 0;
}
private static TestInput ReadTestInput(string fileName)
{
var lines = File.ReadAllLines(fileName);
var input = new TestInput();
input.NumCases = int.Parse(lines[0]);
foreach (var lin in lines.Skip(1))
{
input.Nums.Add(int.Parse(lin));
}
return input;
}
public static Dictionary<int, int> CreateSquareLookup(int maxNum)
{
var dict = new Dictionary<int, int>();
int square;
foreach (var num in Enumerable.Range(0, maxNum))
{
square = num * num;
dict[num] = square;
}
return dict;
}
}
}
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谢谢参观.
UPDATE
稍微更改组合功能将导致相当大的性能提升(从8分钟到3:45):
/// Old and Busted...
let rec combosOld range =
seq {
let rangeCache = Seq.cache range
let count = ref 0
for inner in rangeCache do
for outer in Seq.skip !count rangeCache do
yield (inner, outer)
count := !count + 1
}
/// The New Hotness...
let rec combos maxNum =
seq {
for i in 0..maxNum do
for j in i..maxNum do
yield i,j }
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同样,x ^ 2 + y ^ 2 = k的整数解的数量也是
请注意,在第二种选择中,您将^ 2 + b ^ 2计为(-a)^ 2 + b ^ 2(和其他符号)的不同解,并计算为b ^ 2 + a ^ 2.因此,如果您希望将解决方案设置为集合而不是有序对,那么您可能希望除以4并再次除以2(如@Wei Hu所指出的那样).
知道了这一点,编写一个提供解决方案数量的程序很容易:一次性计算最多46341的素数.
给定k,使用上面的列表计算k的素数除数(测试到sqrt(k)).计算等于1 mod 4的数,并求和.如果需要,将4乘以答案.
所有这些都是任何懒惰函数语言中的一个或两个线程(我不知道f#,在Haskell中它将是两行长),一旦你有一个primes无限的序列:计算除数= 1 mod 4(filterby |> count或者一些东西)这些线条是非常自然的.
我怀疑它比强制分解更快.
你的F#combos功能很糟糕.就像是
let rec combos range =
let a = range |> Seq.toArray
seq {
for i in 0..a.Length-1 do
for j in i..a.Length-1 do
yield i,j }
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应该是一个很大的加速.