所以我试图做的是将任意大小的多维数组折叠成随机的更大尺寸,例如:
String [][] myArray = new String[5][5]
将转换为:
String [][][][][] transformedArray = new String [10][10][10][10][10]
我将前一个数组中的数据输入到新数组中,然后使用伪造数据的随机数据填充新数组。我的问题是创建一个访问函数,它将允许我从新数组中获取正确的数据,是否有人能够给我任何关于我将如何做这个的指示?
答案 0 :(得分:1)
您需要将N维数组转换为一维数组。例如,如果您使用String [][] myArray = new String[5][5]
,String[] oneDimArr[] = new String[5*5]
则myArray[0][3]
将为oneDimArr[0*5+3]
,myArray[2][4]
将为oneDimArr[2*5+4]
。
就像你拿走了矩阵的每一行并将它们连成一条连续的大线一样。
另一个例子:my3Darr[][][] = new String [7][7][7]
;和OneDimArr[] = new String[7*7*7]
所以,my3Darr [4] [5] [2]将是oneDimArr [4 * 7 * 7 + 5 * 7 + 2]。
你可以在myArray和transformedArray上使用它。您将拥有一个长度为25的数组和一个长度为10000的数组。然后根据需要传输数据。例如,乘以4000(即10000/25):1D_myArray[i]
将为1D_transformedArray[i*4000]
。现在您只需撤消该过程:将1D_transformedArray
设为transformedArray
。
你真的不需要在你的最终代码中为两个阵列都经过一维数组,你只需要从2D到5D索引获取方法,但是你要从2D索引到1D索引,然后从这个1D索引通过你的函数(" i * 4000"或者你想要的任何东西),然后从这个新的1D索引到你的5D索引。
例如:
String [][] myArray = new String[5][5]
String [][][][][] transformedArray = new String [10][10][10][10][10]
从2D到1D [2][4] => [14]
索引转换14*4000 => 56.000
从1D到5D 56.000 => [k,l,m,n,o]
,其中j = 56.000,k = j / 10 ^ 4,l =(j%10 ^ 4)/ 10 ^ 3,m =(j%10 ^ 3)/ 10 ^ 2,n =(j%10 ^ 2)/ 10 ^ 1,o = j%10 ^ 1/10 ^ 0.
对于"从1维到N维"算法我不确定,但我希望你能得到这个想法(Algorithm to convert a multi-dimensional array to a one-dimensional array可能会有其他的解释)
不确定,但您可能需要:Getting unknown number of dimensions from a multidimensional array in Java
另外注意溢出,int
可能不足以包含1D索引,请注意,使用long
。
public static void main(String[] args) {
//Easy to calculate
int[] coords = {4,5,2};
System.out.println("out1:"+indexFromNDto1D(coords,7,3)); //233
System.out.println("out2:"+Arrays.toString(indexFrom1DToND(233,7,3))); //{4,5,2}
System.out.println("");
//Just like the example
int oldDimensionSize = 5;
int newDimensionSize = 10;
int oldNumberOfDimensions = 2;
int newNumberOfDimensions = 5;
int[] _2Dcoords = {2,4};
int[] _5Dcoords = null;
int idx = indexFromNDto1D(_2Dcoords,oldDimensionSize,oldNumberOfDimensions); //One dimension index
System.out.println(idx);
idx = transferFunction(idx);
System.out.println(idx);
_5Dcoords = indexFrom1DToND(idx,newDimensionSize,newNumberOfDimensions);
System.out.println(Arrays.toString(_5Dcoords));
System.out.println("Reversing");
idx = indexFromNDto1D(_5Dcoords,newDimensionSize,newNumberOfDimensions);
System.out.println(idx);
idx = reverseTransfertFunction(idx);
System.out.println(idx);
_2Dcoords = indexFrom1DToND(idx,oldDimensionSize,oldNumberOfDimensions);
System.out.println(Arrays.toString(_2Dcoords));
}
public static int indexFromNDto1D(int[] coords, int dimLength, int numberOfDimensions){
//Could've use numberOfDimensions = coords.length but for symetry with the other method...
int result = 0;
for(int currDim = 0; currDim < numberOfDimensions; currDim++){
int shift = (int) (Math.pow(dimLength, numberOfDimensions - currDim - 1) * coords[currDim]);
result+= shift;
}
return result;
}
public static int[] indexFrom1DToND(int idx, int dimLength, int numberOfDimensions){
int[] result = new int[numberOfDimensions];
for(int currDim = 0; currDim < numberOfDimensions ; currDim++){
int currentDimSize = (int) Math.pow(dimLength,numberOfDimensions-1-currDim);
result[currDim] = idx / currentDimSize;
idx = idx % currentDimSize;
}
return result;
}
static final int transfer = 4000;
public static int transferFunction(int idx){
return idx * transfer;
}
public static int reverseTransfertFunction(int idx){
return idx / transfer;
}
这是输出:
out1:233
out2:[4, 5, 2]
14
56000
[5, 6, 0, 0, 0]
Reversing
56000
14
[2, 4]