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  • How can I build a Truth Table Generator?

    - by KingNestor
    I'm looking to write a Truth Table Generator as a personal project. There are several web-based online ones here and here. (Example screenshot of an existing Truth Table Generator) I have the following questions: How should I go about parsing expressions like: ((P = Q) & (Q = R)) = (P = R) Should I use a parser generator like ANTLr or YACC, or use straight regular expressions? Once I have the expression parsed, how should I go about generating the truth table? Each section of the expression needs to be divided up into its smallest components and re-built from the left side of the table to the right. How would I evaluate something like that? Can anyone provide me with tips concerning the parsing of these arbitrary expressions and eventually evaluating the parsed expression?

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  • Why does this regular expression fail?

    - by Stephen
    I have a password validation script in PHP that checks a few different regular expressions, and throws a unique error message depending on which one fails. Here is an array of the regular expressions and the error messages that are thrown if the match fails: array( 'rule1' => array( '/^.*[\d].*$/i', 'Password must contain at least one number.' ), 'rule2' => array( '/^.*[a-z].*$/i', 'Password must contain at least one lowercase letter' ), 'rule3' => array( '/^.*[A-Z].*$/i', 'Password must contain at least one uppercase letter' ), 'rule4' => array( '/^.*[~!@#$%^&*()_+=].*$/i', 'Password must contain at least one special character [~!@#$%^&*()_+=]' ) ); For some reason, no matter what I pass through the validation, the "Special Characters" rule fails. I'm guessing it's a problem with the expression. If there's a better (or correct) way to write these expressions, I'm all ears!

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  • How to check that a regular expression fall into infty loop or not?

    - by Sorush Rabiee
    I'm trying to learn and hopefully use regular expression with Qt. I found that some patterns cause handler to fall into loop. for example searching \b\b in a text, never will terminate. and number of these expressions is infinite (\b\b\b,\b\b\b\b and so on). I'd like to determine and control all invalid expressions. Is there an algorithm to distinguish valid and invalid expressions? If not, how can I prevent my program from falling into an infinite loop?

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  • Symbolic Regular Expression Exploration

    - by Robz / Fervent Coder
    This is a pretty sweet little tool. Rex (Regular Expression Exploration) is a tool that allows you to give it a regular expression and it returns matching strings. The example below creates10 strings that start and end with a number and have at least 2 characters: > rex.exe "^\d.*\d$" /k:10 This is something I could use to validate/generate the Regular Expressions I have created with both UppercuT and RoundhousE. Check out the video below: Margus Veanes - Rex - Symbolic Regular Expression Exploration Margus Veanes, a Researcher from the RiSE group at Microsoft Research, gives an overview of Rex, a tool that generates matching string from .NET regular expressions. Rex turns regular expres...

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  • ODI 11g - Cleaning control characters and User Functions

    - by David Allan
    In ODI user functions have a poor name really, they should be user expressions - a way of wrapping common expressions that you may wish to reuse many times - across many different technologies is an added bonus. To illustrate look at the problem of how to remove control characters from text. Users ask these types of questions over all technologies - Microsoft SQL Server, Oracle, DB2 and for many years - how do I clean a string, how do I tokenize a string and so on. After some searching around you will find a few ways of doing this, in Oracle there is a convenient way of using the TRANSLATE and REPLACE functions. So you can convert some text using the following SQL; replace( translate('This is my string'||chr(9)||' which has a control character', chr(3)||chr(4)||chr(5)||chr(9), chr(3) ), chr(3), '' ) If you had many columns to perform this kind of transformation on, in the Oracle database the natural solution you'd go to would be to code this as a PLSQL function since you don't want the code splattered everywhere. Someone tells you that there is another control character that needs added equals a maintenance headache. Coding it as a PLSQL function will incur a context switch between SQL and PLSQL which could prove costly. In ODI user functions let you capture this expression text and reference it many times across your mappings. This will protect the expression from being copy-pasted by developers and make maintenance much simpler - change the expression definition in one place. Firstly define a name and a syntax for the user function, I am calling it UF_STRIP_BAD_CHARACTERS and it has one parameter an input string;  We then can define an implementation for each technology we will use it, I will define Oracle's using the inputString parameter and the TRANSLATE and REPLACE functions with whatever control characters I want to replace; I can then use this inside mapping expressions in ODI, below I am cleaning the ENAME column - a fabricated example but you get the gist.  Note when I use the user function the function name remains in the text of the mapping, the actual expression is not substituted until I generate the scenario. If you generate the scenario and export the scenario you can have a peak at the code that is processed in the runtime - below you can see a snippet of my export scenario;  That's all for now, hopefully a useful snippet of info.

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  • Regular Expression Transformation

    The regular expression transformation exposes the power of regular expression matching within the pipeline. One or more columns can be selected, and for each column an individual expression can be applied. The way multiple columns are handled can be set on the options page. The AND option means all columns must match, whilst the OR option means only one column has to match. If rows pass their tests then rows are passed down the successful match output. Rows that fail are directed down the alternate output. This transformation is ideal for validating data through the use of regular expressions. You can enter any expression you like, or select a pre-configured expression within the editor. You can expand the list of pre-configured expressions yourself. These are stored in a Xml file, %ProgramFiles%\Microsoft SQL Server\nnn\DTS\PipelineComponents\RegExTransform.xml, where nnn represents the folder version, 90 for 2005, 100 for 2008 and 110 for 2012. If you want to use regular expressions to manipulate data, rather than just validating it, try the RegexClean Transformation. The component is provided as an MSI file, however for 2005/200 you will have to add the transformation to the Visual Studio toolbox by hand. This process has been described in detail in the related FAQ entry for How do I install a task or transform component?, just select Regular Expression Transformation in the Choose Toolbox Items window. Downloads The Regular Expression Transformation is available for SQL Server 2005, SQL Server 2008 (includes R2) and SQL Server 2012. Please choose the version to match your SQL Server version, or you can install multiple versions and use them side by side if you have more than one version of SQL Server installed. Regular Expression Transformation for SQL Server 2005 Regular Expression Transformation for SQL Server 2008 Regular Expression Transformation for SQL Server 2012 Version History SQL Server 2012Version 2.0.0.87 - SQL Server 2012 release. Includes upgrade support for both 2005 and 2008 packages to 2012. (5 Jun 2012) SQL Server 2008Version 2.0.0.87 - Release for SQL Server 2008 Integration Services. (10 Oct 2008) SQL Server 2005 Version 1.1.0.93 - Added option for you to choose AND or OR logic when multiple columns have been selected. Previously behaviour was OR only. (31 Jul 2008) Version 1.0.0.76 - Installer update and improved exception handling. (28 Jan 2008) Version 1.0.0.41 - Update for user interface stability fixes. (2 Aug 2006) Version 1.0.0.24 - SQL Server 2005 RTM Refresh. SP1 Compatibility Testing. (12 Jun 2006) Version 1.0.0.9 - Public Release for SQL Server 2005 IDW 15 June CTP (29 Aug 2005) Screenshots  

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  • [News] Utiliser le framework de bouchon Moq

    Moq est un framework permettant de mettre en oeuvre les mock-objets destin?es aux phases de tests. Cet excellent article illustre le principe : " (...) it is intended to be straightforward and easy to use mocking framework that doesn?t require any prior knowledge of the mocking concepts. So, it doesn't requires deep learning curve from the developers. It takes full advantage of the .NET 3.5 expression trees and the lambda expressions. Any of the methods and properties of the mock object can be easily represented in the lambda expressions."

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  • Speaking at Houston Techfest on September 8

    - by John Paul Cook
    I’m giving my talk on SQL Server and SSMS Tips and Tricks at Houston Techfest on September 8, 2012. It will be similar to the one I gave at last year’s Techfest and also the one I gave at the Houston SQL Server User Group meeting last month. It will be mostly different from the one I gave at the last SQL Saturday in Houston. I will cover regular expressions. If you bring your laptop with you, you can follow along with me to make sure you leave able to actually use regular expressions. If you are...(read more)

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  • ClearTrace Supports SQL Server 2008 R2

    - by Bill Graziano
    It was a long time coming and I hope worth the wait.  If you have SQL Server 2008 R2 installed on the same box as ClearTrace and you download the latest ClearTrace build (36) you’ll be able to read SQL Server 2008 R2 traces.  I also fixed a bug handling very, very large SQL statements.  I encountered an INSERT statement that was 12MB in size.  It was storing XML in a database.  ClearTrace uses regular expressions to clean up the SQL it finds.  Running two dozen regular expressions over this 12MB string caused the application to crash.  In this build I’m just skipping any statement over 1MB.  I’ll do something a little nicer in the next build. (And if you don’t want to download ClearTrace you can test the online version at www.TraceTune.com)

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  • 3 SQL Join Concepts to Help You Choose the Right Join

    What do SQL joins and the "teach a man to fish" Chinese proverb have in common? SQL joins, like regular expressions, are one of those commonplace programming tasks in which true success is entirely dependent upon your ability to conceptualize the outcome. Fail to do so and you'll likely wind up spending a few hours in a frustrating round of trial and error. Like regular expressions, the proliferation of online examples has actually contributed to the frustration, providing the equivalent of a day's worth of fish rather than the proverbial fishing pool. The Future of SQL Server MonitoringMonitor wherever, whenever with Red Gate's SQL Monitor. See it live in action now.

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  • unhandeled exception occured in c#

    - by abid
    hey. i`m getting this error that system.data.datarowview is not permitted in this contexxt. valid expressions are constants expressions and ( in some contexts). column name are not permitted.. can any body guide me what this error says.. can any one provide me a suggestion whether where im wrong.. any guesses guys??? im not getting it.. :/

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  • Matching math expression with regular expression?

    - by Ethan
    For example, these are valid math expressions: a * b + c -a * (b / 1.50) (apple + (-0.5)) * (boy - 1) And these are invalid math expressions: --a *+ b @ 1.5.0 // two consecutive signs, two consecutive operators, invalid operator, invalid number -a * b + 1) // unmatched parentheses a) * (b + c) / (d // unmatched parentheses I have no problem with matching float numbers, but have difficulty with parentheses matching. Any idea? If there is better solution than regular expression, I'll accept as well. But regex is preferred.

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  • unhandled exception occured in c#

    - by abid
    hey. i`m getting this error that system.data.datarowview is not permitted in this contexxt. valid expressions are constants expressions and ( in some contexts). column name are not permitted.. can any body guide me what this error says.. can any one provide me a suggestion whether where im wrong.. any guesses guys??? im not getting it.. :/

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  • How to use objetcs as modules/functors in Scala?

    - by Jeff
    Hi. I want to use object instances as modules/functors, more or less as shown below: abstract class Lattice[E] extends Set[E] { val minimum: E val maximum: E def meet(x: E, y: E): E def join(x: E, y: E): E def neg(x: E): E } class Calculus[E](val lat: Lattice[E]) { abstract class Expr case class Var(name: String) extends Expr {...} case class Val(value: E) extends Expr {...} case class Neg(e1: Expr) extends Expr {...} case class Cnj(e1: Expr, e2: Expr) extends Expr {...} case class Dsj(e1: Expr, e2: Expr) extends Expr {...} } So that I can create a different calculus instance for each lattice (the operations I will perform need the information of which are the maximum and minimum values of the lattice). I want to be able to mix expressions of the same calculus but not be allowed to mix expressions of different ones. So far, so good. I can create my calculus instances, but problem is that I can not write functions in other classes that manipulate them. For example, I am trying to create a parser to read expressions from a file and return them; I also was trying to write an random expression generator to use in my tests with ScalaCheck. Turns out that every time a function generates an Expr object I can't use it outside the function. Even if I create the Calculus instance and pass it as an argument to the function that will in turn generate the Expr objects, the return of the function is not recognized as being of the same type of the objects created outside the function. Maybe my english is not clear enough, let me try a toy example of what I would like to do (not the real ScalaCheck generator, but close enough). def genRndExpr[E](c: Calculus[E], level: Int): Calculus[E]#Expr = { if (level > MAX_LEVEL) { val select = util.Random.nextInt(2) select match { case 0 => genRndVar(c) case 1 => genRndVal(c) } } else { val select = util.Random.nextInt(3) select match { case 0 => new c.Neg(genRndExpr(c, level+1)) case 1 => new c.Dsj(genRndExpr(c, level+1), genRndExpr(c, level+1)) case 2 => new c.Cnj(genRndExpr(c, level+1), genRndExpr(c, level+1)) } } } Now, if I try to compile the above code I get lots of error: type mismatch; found : plg.mvfml.Calculus[E]#Expr required: c.Expr case 0 = new c.Neg(genRndExpr(c, level+1)) And the same happens if I try to do something like: val boolCalc = new Calculus(Bool) val e1: boolCalc.Expr = genRndExpr(boolCalc) Please note that the generator itself is not of concern, but I will need to do similar things (i.e. create and manipulate calculus instance expressions) a lot on the rest of the system. Am I doing something wrong? Is it possible to do what I want to do? Help on this matter is highly needed and appreciated. Thanks a lot in advance.

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  • PHP regular expression find and append to string

    - by Gary
    I'm trying to use regular expressions (preg_match and preg_replace) to do the following: Find a string like this: {%title=append me to the title%} Then extract out the title part and the append me to the title part. Which I can then use to perform a str_replace(), etc. Given that I'm terrible at regular expressions, my code is failing... preg_match('/\{\%title\=(\w+.)\%\}/', $string, $matches); What pattern do I need? :/

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  • lexers vs parsers

    - by Naveen
    Are lexers and parsers really that different in theory ? It seems fashionable to hate regular expressions: coding horror, another blog post. However, popular lexing based tools: pygments, geshi, or prettify, all use regular expressions. They seem to lex anything... When is lexing enough, when do you need EBNF ? Has anyone used the tokens produced by these lexers with bison or antlr parser generators?

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  • What exactly are administrative redexes after CPS conversion?

    - by eljenso
    In the context of Scheme and CPS conversion, I'm having a little trouble deciding what administrative redexes (lambdas) exactly are: all the lambda expressions that are introduced by the CPS conversion only the lambda expressions that are introduced by the CPS conversion but you wouldn't have written if you did the conversion "by hand" or through a smarter CPS-converter If possible, a good reference would be welcome.

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  • VSTS 2008 Database Edition doesn't seem to know 'DATEADD' constants, any ideas?

    - by Marcel Marchon
    I'm trying to implement a database build using VSTS 2008 Database Edition. The build always fails on the following constraint: ALTER TABLE [dbo].[tablename] ADD CONSTRAINT [DF_tablename_date] DEFAULT (CONVERT([varchar],dateadd(hour,(-1),getdate()),(1))) FOR [date]; The error that it shows is the following: TSD03082: The name "hour" is not permitted in this context. Valid expressions are constants, constant expressions, and (in some contexts) variables. Column names are not permitted. Anybody have an idea what is wrong here?

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  • ANTLR, Dynamic variables

    - by JTS
    Hello, I have an ANTLR grammar that can parse and evaluate simple expressions like 1+2*4, etc. What I would like to do is to evaluate expressions like 2+$a-$b/4 where the $ variables are dynamic variables, that come from an external source and are continuously updated. Is there any design pattern on how to do this using ANTLR, best practices, etc? Shall I "substring" the $a with the updated value ($a - 4.34) A nicer way to do this? Thx

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  • Using RegEx to Identify parts of a Database Connection String

    - by David_Jarrett
    I'm trying to get to grips with regular expressions: I have a database connection string and I'd like to use a regular expression to identify specific Keys and Values within it. For example server=foo;database=bar;uid=foo;pwd=bar I'd like something to return "database=bar;" using the 'database' key to identify it, ideally it would be case insensitive. I can do this using normal code, but I think that this is exactly the sort of thing for which regular expressions were designed.

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