shuffle

问题 I am trying to create a card shuffler within java that will perform "the perfect shuffle" (splitting the deck in two equal halves and interleaving each card, then repeating one more time), by performing both in and out shuffles. I have the following code to perform the shuffle. public class Shuffle { private static final int shuffleCount = 2; private static final int valueCount = 52; public static void main(String[] args){ System.out.println("Result of " + shuffleCount + "perfect shuffles" );

问题 Setup: I have 50 files, each with 25000 lines. To-do: I need to shuffle all of them "in the same order". E.g.: If before shuffle: File 1 File 2 File 3 A A A B B B C C C then after shuffle I should get: File 1 File 2 File 3 B B B C C C A A A i.e. corresponding rows in files should be shuffled in same order. Also, the shuffle should be deterministic, i.e. if I give File A as input, it should always produce same shuffled output. I can write a Java program to do it, probably a script to.

问题 I'm using python and want to shuffle a copied list that I write after that into a txt file (see my code below). Why does the shuffle function randomize the original list, too? I only use the copy for the function call. Any ideas? Thank you ! from random import shuffle def shuffleList2txt(myList): shuffle(myList) f = open('randList.txt','w') f.write(str(liste)) f.close() return(myList) liste = [1,2,3,4,5,6,7,8,9,10] copy = liste shuffledList = shuffleList2txt(copy) liste and shuffledList are

问题 Suppose I have a 2D array like the following: GACTG AGATA TCCGA Each array element is taken from a small finite set (in my case, DNA nucleotides -- {A, C, G, T} ). I would like to randomly shuffle this array somehow while preserving both row and column nucleotide frequencies. Is this possible? Can it be done efficiently? [EDIT] : By this I mean I want to produce a new matrix where each row has the same number of A s, C s, G s and T s as the corresponding row of the original matrix, and where

问题 Suppose I have a 2D array like the following: GACTG AGATA TCCGA Each array element is taken from a small finite set (in my case, DNA nucleotides -- {A, C, G, T} ). I would like to randomly shuffle this array somehow while preserving both row and column nucleotide frequencies. Is this possible? Can it be done efficiently? [EDIT] : By this I mean I want to produce a new matrix where each row has the same number of A s, C s, G s and T s as the corresponding row of the original matrix, and where

问题 Is there a simple shuffle function for Scala lists? If not, whats the simplest way to implement? I have a lot of these things to do all over the code, so the simpler the call, the best it is An example in Ruby a = [ 1, 2, 3 ] #=> [1, 2, 3] a.shuffle #=> [2, 3, 1] returns new array shuffled Thanks in advance :) 回答1: In Scala you can use scala.util.Random: util.Random.shuffle((1 to 10).toSeq) //Vector(9, 6, 8, 7, 10, 1, 2, 5, 3, 4) util.Random.shuffle(List('A', 'B', 'C', 'D', 'E', 'F')) //List

问题 Is there a simple shuffle function for Scala lists? If not, whats the simplest way to implement? I have a lot of these things to do all over the code, so the simpler the call, the best it is An example in Ruby a = [ 1, 2, 3 ] #=> [1, 2, 3] a.shuffle #=> [2, 3, 1] returns new array shuffled Thanks in advance :) 回答1: In Scala you can use scala.util.Random: util.Random.shuffle((1 to 10).toSeq) //Vector(9, 6, 8, 7, 10, 1, 2, 5, 3, 4) util.Random.shuffle(List('A', 'B', 'C', 'D', 'E', 'F')) //List

问题 I'd like to do a random shuffle of a list but with one condition: an element can never be in the same original position after the shuffle. Is there a one line way to do such in python for a list? Example: list_ex = [1,2,3] each of the following shuffled lists should have the same probability of being sampled after the shuffle: list_ex_shuffled = [2,3,1] list_ex_shuffled = [3,1,2] but the permutations [1,2,3], [1,3,2], [2,1,3] and [3,2,1] are not allowed since all of them repeat one of the

问题 This question already has answers here : How to randomize (shuffle) a JavaScript array? (51 answers) Closed 5 years ago . I need to implement a randomization from JSON result. The format of the JSON is two objects: result: Question(object) [Object { id="4c6e9a41470b19_96235904", more...}, Object { id="4c784e6e928868_58699409", more...}, Object { id="4c6ecd074662c5_02703822", more...}, 6 more...] Topic(object) [Object { id="3jhf3533279827_23424234", more...}, Object { id="4634663466cvv5

问题 I'm getting confused about spill to disk and shuffle write . Using the default Sort shuffle manager, we use an appendOnlyMap for aggregating and combine partition records, right? Then when execution memory fill up, we start sorting map, spilling it to disk and then clean up the map for the next spill(if occur), my questions are : What is the difference between spill to disk and shuffle write? They consist basically in creating file on local file system and also record. Admit are different, so