seed | 易学教程

Seed data for grails application

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What is the best way to load seed (initial or test) data into grails application. I'm considering 3 options Putting everything in *BootStrap.groovy files. This is tedious if the domain classes and test data are many. Write custom functionality to load it through xml. May not be too difficult with the excellent xml support by groovy, but lot of switch statements for different domain classes. Use Liquibase LoadData api. I see you can load the data fairly easy from csv files. Choice 3 seems the easiest. But, I'm not familiar with Liquibase. Is it good in this scenario, or only used for migration,

How to generate a range of random numbers in python without repetition

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问题 I would like to generate random numbers in the range (0..."MAX"). I would like to make a loop such that every time going through the loop a new unique random number is generated (should not repeat). The loop will continue a total of "MAX" times. There should be "MAX" number of random numbers generated in total. When sorted, the values should be 0..."MAX"; no repetition. Restrictions: - Assume MAX is much larger than int. (no memory to store all number permutations in memory) My proposed

random number generation of doubles between two intervals [a,b]

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问题 I need to generate X random double numbers uniformly distributed between two intervals [a,b], where a and b are also double numbers. Those X numbers need to be generated inside of a class function, say myclass::doSomething(a,b) . The thing is that the intervals [a,b] passed to the doSomething(a,b) function change each time the doSomething(a,b) function is called by another class function, say doThat() . I would like a solution that allows me to: 1. Have an engine with a higher scope, ideally,

Entity Framework Code First: How to seed a database for unit testing

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问题 My question and code is based on the Code First Entity Framework Unit Test Examples blog post. I am using SQL Compact 4.0 and as such my unit tests are running against the actual database using real data similar to what is being described in the blog post. I want to seed my production database with default values in some of the tables but when running my unit tests I want to add additional data and update some of the default values. I have created a custom Initializer class that seeds the

Uncorrelated parallel random seeds with C++ 2011?

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问题 Currently, I have a main application in Fortran that need a seed to generate pseudo-random numbers. I would like to run many (many) times this application with completely uncorrelated seeds (and furthermore completely independent pseudo-random numbers chains). My question is : how to generate the seeds with C++ 2011 ? 回答1: In your main thread, extract a single seed (or seed sequence) from a good random source (e.g. from /dev/urandom on Linux). Use that data to seed a single root PRNG. Then

Setting seed boost::random

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问题 I would like to reset random sequences by using different seed numbers. When running this test code: boost::mt19937 gener(1); boost::normal_distribution<> normal(0,1); boost::variate_generator<boost::mt19937&,boost::normal_distribution<> > rng(gener, normal); cout << rng() << endl; cout << rng() << endl; cout << rng() << endl; gener.seed(2); cout << rng() << endl; cout << rng() << endl; gener.seed(1); cout << rng() << endl; gener.seed(2); cout << rng() << endl; gener.seed(3); cout << rng() <<

NG2: angular2-webpack-starter - what is the purpose of HMR?

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问题 I'm cleaning up my angular2 project and for many reasons, I've decided to start with a seed. This one. This seed uses HMR but I don't fully understand what is the purpose of that. At the beginning, I was thinking that HMR was about dynamical loading and replacing component while the web app is running. But since I've put my eyes on the app.service.ts , I've got lost. Here is the code of this service : import { Injectable } from '@angular/core'; import { HmrState } from 'angular2-hmr';

Why is Bash’s $RANDOM not seeded (?) on some machines?

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I noticed that on some machines (all openSUSE 11.2 on identical hardware) every Bash shell would output the same sequence of values for $RANDOM : $ bash -c 'for i in `seq 10`; do echo -n "$RANDOM "; done; echo' 17767 9158 6249 18547 23633 23807 5194 22764 7977 31949 $ bash -c 'for i in `seq 10`; do echo -n "$RANDOM "; done; echo' 17767 9158 6249 18547 23633 23807 5194 22764 7977 31949 The sequence is the same across all these machines. It seems that the random number generator is not seeded? Why does it happen and how to fix it? On my personal machine the numbers are different every time I

pytorch---之torch.manual_seed()

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torch.manual_seed(args.seed) #为CPU设置种子用于生成随机数，以使得结果是确定的 if args.cuda: torch.cuda.manual_seed(args.seed)#为当前GPU设置随机种子；如果使用多个GPU，应该使用torch.cuda.manual_seed_all()为所有的GPU设置种子。 --------------------- 作者：Florence_Janie 来源：CSDN 原文：https://blog.csdn.net/qq_34690929/article/details/79923602 版权声明：本文为博主原创文章，转载请附上博文链接！来源： CSDN 作者： zxyhhjs2017 链接： https://blog.csdn.net/zxyhhjs2017/article/details/91948497

torch.manual_seed()

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