random

问题 I know that numpy.random.seed(seed) will output the same numbers if I use the same seed. My question is, does this change over time? If I try to call it again tomorrow, will it still output the same set of random numbers as yesterday? 回答1: The np.random documentation describes the PRNGs used. Apparently, there was a partial switch from MT19937 to PCG64 in the recent past. If you want consistency, you'll need to: fix the PRNG used, and ensure that you're using a local handle (e.g. RandomState

问题 I know that numpy.random.seed(seed) will output the same numbers if I use the same seed. My question is, does this change over time? If I try to call it again tomorrow, will it still output the same set of random numbers as yesterday? 回答1: The np.random documentation describes the PRNGs used. Apparently, there was a partial switch from MT19937 to PCG64 in the recent past. If you want consistency, you'll need to: fix the PRNG used, and ensure that you're using a local handle (e.g. RandomState

问题 I know that numpy.random.seed(seed) will output the same numbers if I use the same seed. My question is, does this change over time? If I try to call it again tomorrow, will it still output the same set of random numbers as yesterday? 回答1: The np.random documentation describes the PRNGs used. Apparently, there was a partial switch from MT19937 to PCG64 in the recent past. If you want consistency, you'll need to: fix the PRNG used, and ensure that you're using a local handle (e.g. RandomState

问题 I'm trying to draw a random sample of rows without replacement from a dataset such that the sum of a column in the sample should be strictly within a range. For the example dataset mtcars , the random sample should be such that the sum of mpg is strictly within 90-100. A reproducible example: data("mtcars") random_sample <- function(dataset){ final_mpg = 0 while (final_mpg < 100) { basic_dat <- dataset %>% sample_n(1) %>% ungroup() total_mpg <- basic_dat %>% summarise(mpg = sum(mpg)) %>% pull

问题 I am trying accomplish the following tasks using C and arrays: This is what I could do for now. I also need to print the output. What should I do or edit, thanks. #include <stdio.h> #include <time.h> #include <stdlib.h> int main() { int n; printf("How many elements in array?:"); scanf("%d",&n); int array0[n]; for(int i = 0 ; i < n ; i++) { array0[i]= rand()%9 + 1; } int array1[10]; for(int i = 0 ; i < 10 ; i++) { array1[i]= 0; } int index; for(int i = 0 ; i < n ; i++) { index = array0[i];

问题 So I have two tests - Test1.spec.js and Test2.spec.js and I want that with every test run a random number should be generated and the same random number should be used in both the specs. I wrote a simple Math.random() function for this under support/index.js Cypress.config('UniqueNumber', `${Math.floor(Math.random() * 10000000000000)}`) And in the tests I am writing as: cy.get('locator').type(Cypress.config('UniqueNumber')) When I am trying to execute the tests using the cypress app npm

问题 So I try to pick 15 random numbers from my array that their sum adds up to 47826.53 but doesn't work. My k is not incrementing . #include <iostream> #include <stdlib.h> #include <time.h> using namespace std; int main () { float x[23] = { 6653.05, 1939.89, 6649.05, 2755.74, 5270.62, 6216.57, 4812.92, 7919.50, 4807.46, 1698.00, 849.01, 1415.01, 1698.00, 4811.61, 1698.21, 7355.99, 4817.37, 566.75, 2266.47, 1699.86, 3966.33, 849.93, 849.93 }; int v[22] = { 0 }; float s = 0; int k = 0; int

问题 I have this issue where I would like to shuffle a list, but only do so slightly. Say, I want only a small number of elements to be moved. Is there a simple way to get this done? Right now the best I can think of is building my own method be hand, but is there some way to use the random library to do this for me? 回答1: to show what some of these solutions are doing I find it helps to run a monte-carlo algorithm many times and look at the distribution first a tidied up version of @meta4's

问题 Ok I want to pick a random point in the 2d array so it can be filled. Ive seen how to do this for a 1d array, and am wondering how this would be possible in a 2d array. All I have seen about this method is that the same position comes up again, which is a slight problem, but I don't know how to do it in the first place. The 2d array is essentially a grid, with the dimensions being the x and y coordinates. And the random element selecting a point within the boundaries (which is user selected

问题 I have a list with N elements, I want to randomize its order. Preferably with the least computation, and being able to use up memory (duplicating the total). So far I've come up with: create new empty list, take first element from original list, insert it in new list on random position, order of magnitude seems O(N*N) but no extra memory is used. create a new ArrayList(capacity N) (so access is O(1)), create a new hashSet and insert all possible positions (N), take the first element of the