seed

Why is seeding the random generator not stable between versions of Python?

谁说我不能喝 提交于 2019-11-30 10:58:45
I am trying to reproduce a random sequence from python's random.random() on a different system with a different python3 version installed. This should be easy as the documentation says : Most of the random module’s algorithms and seeding functions are subject to change across Python versions, but two aspects are guaranteed not to change: If a new seeding method is added, then a backward compatible seeder will be offered. The generator’s random() method will continue to produce the same sequence when the compatible seeder is given the same seed. So I expect the following code to print always

What is the function of the seeds.rb file?

此生再无相见时 提交于 2019-11-30 09:53:07
I am very new to Ruby on Rails. I don't know what the function of the seed.rb file is, why we use this file, and why we need to run the rake db:seed command. Can anyone give an explanation with examples? Bootstrapping Data The purpose of seed data is to bootstrap your database. For example, if you have a users table where you track users' city and state, you may want to seed a related table with U.S. state names and abbreviations before creating the first user. Likewise, you may also want to seed things like administrative accounts, or other data that's necessary to run your application for

Possible sources for random number seeds

不打扰是莪最后的温柔 提交于 2019-11-30 09:00:30
问题 Two points -- first, the example is in Fortran, but I think it should hold for any language; second, the built in random number generators are not truly random and other generators exist, but we're not interested in using them for what we're doing. Most discussions on random seeds acknowledge that if the program doesn't seed it at run-time, then the seed is generated at compile time. So, the same sequence of numbers is generated every time the program is run, which is not good for random

How to get current seed from C++ rand()?

99封情书 提交于 2019-11-30 08:25:24
I generate a few thousand object in my program based on the C++ rand() function. Keeping them in the memory would be exhaustive. Is there a way to copy the CURRENT seed of rand() at any given time? This would give me the opportunity to store ONLY the current seeds and not full objects. (thus I could regenerate those objects, by regenerating the exact same sub-sequences of random numbers) An exhaustive solution is storing the full sequence of random numbers given by rand() - doesn't worth it. Another would be solution is to implement my own class for randomized numbers. Google gave me no

R: bizarre behavior of set.seed()

和自甴很熟 提交于 2019-11-30 03:06:07
问题 Odd thing happens when in R when I do set.seed(0) and set.seed(1); set.seed(0) sample(1:100,size=10,replace=TRUE) #### [1] 90 27 38 58 91 21 90 95 67 63 set.seed(1) sample(1:100,size=10,replace=TRUE) #### [1] 27 38 58 91 21 90 95 67 63 7 When changing the seed from 0 to 1, I get the exact same sequence, but shifted over by 1 cell! Note that if I do set.seed(2), I do get what appears to be a completely different (random?) vector. set.seed(2) sample(1:100,size=10,replace=TRUE) #### [1] 19 71 58

Seeding file uploads with CarrierWave, Rails 3

你说的曾经没有我的故事 提交于 2019-11-29 22:17:08
I'm trying to seed a database in Rails 3 with images using CarrierWave, however nothing I try seems to work short of having to upload them all by hand. pi = ProductImage.new(:product => product) pi.image = File.open(File.join(Rails.root, 'test.jpg')) pi.store_image! # tried with and without this product.product_images << pi product.save! Anybody know how to seed using CarrierWave at all? Nathan Kleyn Turns out the documentation for CarrierWave is slightly wrong. There is a more up to date piece of code in the README at the GitHub repository for the project . In a nutshell, though: pi =

Does every machine generate same result of random number by using the same seed?

瘦欲@ 提交于 2019-11-29 18:45:08
问题 I'm current stuck in the random generator. The requirement specification shows a sample like this: Random rand = new Random(3412); The rand result is not directly given out, but used for other performance. I'd written the same code as above to generate a random number by a seed 3412. however, the result of the rest performance is totally different with sample. The generating result is 518435373, I used the same code tried on the online c# compiler, but getting different result of generation

Split seeds.rb into multiple sections?

我是研究僧i 提交于 2019-11-29 18:09:29
问题 I'd like to split my seeds.rb file into multiple sections for ease of maintenance; seed all the A's in a.rb, the B's in b.rb, etc. The separate files are located in the db/ directory with seeds.rb. Each file consists of a bunch of "A.create" or "B.create" calls and I want to call those files from seeds.rb. I've tried: include 'a' include 'b' and load 'a.rb' load 'b.rb' in my seeds.rb but they don't seem to be processed when I call "rake db:seed". This is probably more of a straight ruby

Why is seeding the random generator not stable between versions of Python?

别来无恙 提交于 2019-11-29 16:24:17
问题 I am trying to reproduce a random sequence from python's random.random() on a different system with a different python3 version installed. This should be easy as the documentation says: Most of the random module’s algorithms and seeding functions are subject to change across Python versions, but two aspects are guaranteed not to change: If a new seeding method is added, then a backward compatible seeder will be offered. The generator’s random() method will continue to produce the same

How to get current seed from C++ rand()?

那年仲夏 提交于 2019-11-29 11:49:28
问题 I generate a few thousand object in my program based on the C++ rand() function. Keeping them in the memory would be exhaustive. Is there a way to copy the CURRENT seed of rand() at any given time? This would give me the opportunity to store ONLY the current seeds and not full objects. (thus I could regenerate those objects, by regenerating the exact same sub-sequences of random numbers) An exhaustive solution is storing the full sequence of random numbers given by rand() - doesn't worth it.