sat

Z3 : strange behavior with non linear arithmetic

孤者浪人 提交于 2019-12-10 19:24:19
问题 I am just starting to use Z3 (v4.4.0), and I wanted to try one of the tutorial examples : (declare-const a Int) (assert (> (* a a) 3)) (check-sat) (get-model) (echo "Z3 will fail in the next example...") (declare-const b Real) (declare-const c Real) (assert (= (+ (* b b b) (* b c)) 3.0)) (check-sat) As said, the second example fails with "unknown", and by increasing the verbose level (to 3) I think I understand why : some problem with the simplifying process, then the tactic fails. In order

Flow Shop to Boolean satisfiability [Polynomial-time reduction]

て烟熏妆下的殇ゞ 提交于 2019-12-10 13:43:54
问题 I contact you in order to get an idea on "how to transform a flow shop scheduling problem" into a boolean satisfiability. I already done such reduction for a N*N Sudoku, a N-queens and a Class scheduling problem, but I have some issue on how to transform the flow shop into SAT. a SAT problem looks like this : The goal is : with different boolean variables, to find an affectation of every variable in order to make the "sentence" true. (If finding a solution is possible). I create my own solver

Why Z3Py does not provide all possible solutions

半腔热情 提交于 2019-12-10 11:14:23
问题 I ran into a problem where Z3Py does not enumerate all possible solutions for the given Boolean clauses. I was wondering if anyone knows why this is happening. Here is the code I use for the Z3Py. There are 5 booleans: 1 2 3 4 and 5. from z3 import * a,b,c,d,e = Bools('1 2 3 4 5') solver = Solver() solver.add(Or(Not(a), Not(b))) solver.add(Or(Not(b), Not(c))) solver.add(Or(Not(c), Not(d))) solver.add(Or(Not(d), Not(e))) while solver.check() == sat: model = solver.model() block = [] for

SMT solver with custom theories?

♀尐吖头ヾ 提交于 2019-12-10 09:23:11
问题 I'm looking at doing some verification work where I've got regular tree grammars as an underlying theory. Z3 lets you define your own stuff with uninterpreted functions, but that doesn't tend to work well any time your decision procedures are recursive. They used to allow for plugins but that has been depricated, I think. I'm wondering, does anybody have a recommendation of a decent SMT solver that allows you to write decision procedures for custom theories? 回答1: There are several options

【报错】Validation failed for object='userLogin'. Error count: 1

别说谁变了你拦得住时间么 提交于 2019-12-07 15:10:40
提交表单之后: Whitelabel Error Page This application has no explicit mapping for /error, so you are seeing this as a fallback. Sat Dec 07 14:56:03 CST 2019 There was an unexpected error (type=Internal Server Error, status=500). Validation failed for object='userLogin'. Error count: 1 解决方法: 利用BindingResult对象获取参数错误字段和参数错误信息 加上红框里面的信息,不进行处理,也是可以的。 参考一个一个关于bindingResult的使用方法: https://www.cnblogs.com/NeverCtrl-C/p/8185576.html 来源: https://www.cnblogs.com/christy99cc/p/12001733.html

Why Z3Py does not provide all possible solutions

那年仲夏 提交于 2019-12-06 06:45:22
I ran into a problem where Z3Py does not enumerate all possible solutions for the given Boolean clauses. I was wondering if anyone knows why this is happening. Here is the code I use for the Z3Py. There are 5 booleans: 1 2 3 4 and 5. from z3 import * a,b,c,d,e = Bools('1 2 3 4 5') solver = Solver() solver.add(Or(Not(a), Not(b))) solver.add(Or(Not(b), Not(c))) solver.add(Or(Not(c), Not(d))) solver.add(Or(Not(d), Not(e))) while solver.check() == sat: model = solver.model() block = [] for declaration in model: constant = declaration() block.append(constant != model[declaration]) solver.append(Or

SMT solver with custom theories?

心不动则不痛 提交于 2019-12-05 17:48:57
I'm looking at doing some verification work where I've got regular tree grammars as an underlying theory. Z3 lets you define your own stuff with uninterpreted functions, but that doesn't tend to work well any time your decision procedures are recursive. They used to allow for plugins but that has been depricated, I think. I'm wondering, does anybody have a recommendation of a decent SMT solver that allows you to write decision procedures for custom theories? There are several options given that most reasonable SMT solvers are open source you can integrate theory solvers in any detail depending

Django stops working with RuntimeError: populate() isn't reentrant

匿名 (未验证) 提交于 2019-12-03 02:52:02
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: I've been developing a Django web application deployed on an Apache server with WSGI, and everything has been going smoothly. Today, I made some minor changes to my app's admin.py in an attempt to customize the build-in Django Admin interface, and initially made a syntax error (an unclosed parenthesis). This meant that when I touched wsgi.py and loaded the code (I have WSGI running in daemon mode on my virtual host), my website was replaced with an Internal Server Error because WSGI stopped when it hit the syntax error. So I fixed the syntax

string to array, split by single and double quotes

匿名 (未验证) 提交于 2019-12-03 02:31:01
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: i'm trying to use php to split a string into array components using either " or ' as the delimiter. i just want to split by the outermost string. here are four examples and the desired result for each: $pattern = "?????"; $str = "the cat 'sat on' the mat"; $res = preg_split($pattern, $str); print_r($res); /*output: Array ( [0] => the cat [1] => 'sat on' [2] => the mat )*/ $str = "the cat \"sat on\" the mat"; $res = preg_split($pattern, $str); print_r($res); /*output: Array ( [0] => the cat [1] => "sat on" [2] => the mat )*/ $str = "the \"cat

How to take column-slices of dataframe in pandas

匿名 (未验证) 提交于 2019-12-03 02:14:01
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): 选择语言 中文(简体) 日语 英语 中文(繁体) 由 翻译 强力驱动 问题: I load a some machine learning data from a csv file. The first 2 columns are observations and the remaining columns are features. Currently, I do the following : data = pandas . read_csv ( 'mydata.csv' ) which gives something like: data = pandas . DataFrame ( np . random . rand ( 10 , 5 ), columns = list ( 'abcde' )) I'd like to slice this dataframe in two dataframes: one containing the columns a and b and one containing the columns c , d and e . It is not possible to write something like observations =