fact

I need to generate an enormous fact model using an ontology external to drools. Now, I could certainly write a script/program to pull this off. My approach would be to generate a java bean for each ontology class which contains the appropriate fields, methods, and references to other java objects based on ontological relationships (probably in a map). My question is whether drools has a more elegant way to approach this problem. I figure it must be a common problem that the fact model is derivable from resource available outside of drools, so I'm wondering if maybe drools(or guvnor) has a

Let's say that we have D_PROCESS , D_WORKER and D_STATUS as dimensions, and the fact F_EVENT that links a process (what) with a worker (who's in charge) and the "current" status. The process status changes over time. Shoud we store in F_EVENT one line per process/status/worker, or one line per process/worker, and "somewhere else" one line per status change for a given process/worker? I'm new to Datawarehouse and it's hard to find best practices/tutorial related to data modelization. Read The Data Warehouse Toolkit by Ralph Kimball for a good introduction to dimensional modeling. It sounds like

1.n的阶乘。 #! # f() { if [ $1 -lt 1 ];then echo 1 else i=$[$1*$(f $[$1-1])] echo $i fi } f 5 2.斐波那契函数。(1,1,2,3,5,8,13,21,34,55....) #!/bin/bash # fact() { if [ $1 -lt 3 ];then echo 1 else i=$[$(fact $[$1-1])+ $(fact $[$1-2])] echo $i fi } fact 8 来源： https://www.cnblogs.com/COO-zsy/p/11589522.html

在函数内部，可以调用其他函数。如果一个函数在内部调用自身本身，这个函数就是递归函数。 def fact(n): if n==1: return 1 return n * fact(n - 1) fact(3) 使用递归函数需要注意防止栈溢出 解决递归调用栈溢出的方法是通过尾递归优化 尾递归是指，在函数返回的时候，调用自身本身，并且，return语句不能包含表达式 def fact(n): return fact_iter(n, 1) def fact_iter(num, product): if num == 1: return product return fact_iter(num - 1, num * product) 汉诺塔问题 不太懂 来源： https://www.cnblogs.com/g2thend/p/11798344.html

I'm trying to learn how to use Ansible facts as variables, and I don't get it. When I run... $ ansible localhost -m setup ...it lists all of the facts of my system. I selected one at random to try and use it, ansible_facts.ansible_date_time.date, but I can't figure out HOW to use it. When I run... $ ansible localhost -m setup -a "filter=ansible_date_time" localhost | success >> { "ansible_facts": { "ansible_date_time": { "date": "2015-07-09", "day": "09", "epoch": "1436460014", "hour": "10", "iso8601": "2015-07-09T16:40:14Z", "iso8601_micro": "2015-07-09T16:40:14.795637Z", "minute": "40",

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: Is it possible to set a fact containing an array in ansible using set_fact ? What's the correct syntax for it? 回答1: Indeed it is. You need to quote the entire array though: - name: set fact set_fact: foo="[ 'one', 'two', 'three']" - name: debug debug: msg={{ item }} with_items: foo The above tasks should generate the following output: TASK: [set fact] ************************************************************** ok: [localhost] TASK: [debug] ***************************************************************** ok: [localhost] => (item=one) => {

I am currently writing a rail line program but am having a little trouble using lists that come from facts. I am quite new to Prolog and so far have written the following facts and rules: location(euston, [northernLine]). location(warrenStreet, [victoriaLine, northernLine]). location(warwickAvenue, [bakerlooLine]). location(paddington, [bakerlooLine]). hasCommonLine(Location1, Location2, Line) :- location(Location1, Line), location(Location2, Line). The idea is for the rule to return the name of the line(s) that the two locations have in common. This works if I try hasCommonLine(warwickAvenue