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• Best of OTN - Week of November 4th

  - by CassandraClark-OTN

  It was another exciting week at OTN!  Lots of GREAT content to share.  If you had a favorite that you don't see listed let us know in the comment section below.  Java Community - JavaOne Sessions Online - We've posted 60 of the JavaOne sessions online, and we'll be rolling out more sessions every few weeks. This content is free, courtesy of Oracle.NetBeans 7.4 Released  - NetBeans 7.4 features HTML5 integration for Java EE and PHP development; support for Apache Cordova and JDK 8 preview features; enhancements to Maven, C/C++, and more.vJUG: Worldwide Virtual JUG Created - London Java Community leader and technical evangelist Simon Maple has created a Meetup called vJUG, with aim toward connecting Java Developers in the virtual world.Tori Wieldt, Java Community Manager Friday Funny: This is what REALLY happens when you give someone your business card ow.ly/q6aKUArchitect Community - Don't forget to register for the free Virtual Developer Day - Harnessing the Power of Oracle WebLogic and Oracle Coherence.  December 3rd, 2013 - Two great tracks, Design & Develop and Build, Deploy & Manage.   Why wait, register now!  Multi-Factor Authentication in Oracle WebLogic - Shailesh K. Mishra - Really good technical article on using multi-factor authentication to protect web applications deployed on Oracle WebLogic.Coherence*Web: Sharing an httpSessions Among Applications in Different Oracle WebLogic Clusters - Jordi VillenaUnderstanding when and how to select session attributes that must be stored in the local storage of the Oracle WebLogic instances and which should be leveraged to an Oracle Coherence distributed cache.  Bob Rhubart, Architect Community Manager Friday Funny - "Be yourself, everyone else is already taken." Oscar Wilde (October 16, 1854 - November 30, 1900) Irish writer and poet.

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• Choosing open source vs. proprietary CMS

  - by jkneip

  Hi- I've been tasked with redesigning a website for a small academic library. While only in charge of the site for 6 months, we've been maintaining static html pages edited in Dreamweaver for years. Last count of our total pages is around 400. Our university is going with an enterprise level solution called Sitefinity, although we maintain our own domain and are responsible to maintain our own presense. Some background-my library has a couple Microsoft IIS servers on which this static html site has been running. I'm advocating for the implementation of a CMS while doing this redesign. The problem is I'm basically the lone webmaster so I have no one to agree or disagree with my choice. There are also only 1-2 content editors right know for the site but a CMS could change that factor. I would like to use the functionality of having servers that run .NET and MS SQL but am more experience setting up and maintaining open source software like Wordpress or Drupal on web hosts. My main concern is choosing a CMS that will be easy to update / maintain / deal with upgrades (i.e., support) in case I'm not there in the future. So I'm wondering how to factor in the open source CMS vs. a relatively inexpensive commercial CMS decision and whether choosing PHP/MySQL vs. ASP.net framework for development environment will play into my decision. Thanks for any input that can be offered based on the details I've given. Thanks, Jason

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• Are long methods always bad?

  - by wobbily_col

  So looking around earlier I noticed some comments about long methods being bad practice. I am not sure I always agree that long methods are bad (and would like opinions from others). For example I have some Django views that do a bit of processing of the objects before sending them to the view, a long method being 350 lines of code. I have my code written so that it deals with the paramaters - sorting / filtering the queryset, then bit by bit does some processing on the objects my query has returned. So the processing is mainly conditional aggregation, that has complex enough rules it can't easily be done in the database, so I have some variables declared outside the main loop then get altered during the loop. varaible_1 = 0 variable_2 = 0 for object in queryset : if object.condition_condition_a and variable_2 > 0 : variable 1+= 1 ..... ... . more conditions to alter the variables return queryset, and context So according to the theory I should factor out all the code into smaller methods, so That I have the view method as being maximum one page long. However having worked on various code bases in the past, I sometimes find it makes the code less readable, when you need to constantly jump from one method to the next figuring out all the parts of it, while keeping the outermost method in your head. I find that having a long method that is well formatted, you can see the logic more easily, as it isn't getting hidden away in inner methods. I could factor out the code into smaller methods, but often there is is an inner loop being used for two or three things, so it would result in more complex code, or methods that don't do one thing but two or three (alternatively I could repeat inner loops for each task, but then there will be a performance hit). So is there a case that long methods are not always bad? Is there always a case for writing methods, when they will only be used in one place?

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• Why isn't one of the constant buffers being loaded inside the shader?

  - by Paul Ske

  I however got the model to load under tessellation; only problem is that one of the constant buffers aren't actually updating the shader's tessellation factor inside the hullshader. I created a messagebox at the rendering point so I know for sure the tessellation factor is assigned to the dynamic constant buffer. Inside the shader code where it says .Edges[1] = tessellationAmount; the tessellationAmount is suppose to be sent from the dynamic buffer to the shader. Otherwise it's just a plain box. In better explanation; there's a matrixBuffer, cameraBuffer, TessellationBuffer for constant. There's a multiBuffer array that assigns the matrix, camera, tesselation. So, when I set the Hull Shader, PixelShader, VertexShader, DomainShader it gets assigned by the multibuffer. E.G. devcon-HSSetConstantBuffers(0,3,multibuffer); The only way around the whole ideal would be to go in the shader and change how much the edges tessellate and inside the edges as well with the same number. My question is why wouldn't the tessellationBuffer not work in the shader?

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• How "commercially savvy" should software developers be? [closed]

  - by mattnz

  I have been watching answers to many questions on this site, and have come to the conclusion that commercial pragmatism does not factor into many software development discussions. As a result, I seriously wonder at the commercial skills within the industry, specifically the ability to deliver projects on time and to a budget. I see no indication from the site that commercially successful project delivery is a serious concern, yet the industry has a reputation for poor performance in this. Rarely, if ever, does the cost of time factor into discussions. I have never seen concepts such as opportunity cost, time to market, competitive advantage or cash flow mentioned, let alone discussed in technical answers to questions. How can you answer virtually any question without understanding the commercial background on which it is asked? Even Open source projects have a need to operate efficiently and deploy their limited resources to providing the most value for effort. Typically small start-ups have cash flow issues that outweigh longevity concerns, yet they are typically still advised to build for a future they probably won’t have if they do. Is it fair to say that these problems are solely the Managers and Project managers to solve, or are we, as developers, also responsible for ensuring successful on time, within budget delivery of projects, even if those budgets do not allow use to achieve engineering excellence?

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• Re: Help with Boost Grammar

  - by Decmac04

  I have redesigned and extended the grammar I asked about earlier as shown below: // BIFAnalyser.cpp : Defines the entry point for the console application. // // /*============================================================================= Copyright (c) Temitope Jos Onunkun 2010 http://www.dcs.kcl.ac.uk/pg/onun/ Use, modification and distribution is subject to the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt) =============================================================================*/ //////////////////////////////////////////////////////////////////////////// // // // B Machine parser using the Boost "Grammar" and "Semantic Actions". // // // //////////////////////////////////////////////////////////////////////////// include include include include include include //////////////////////////////////////////////////////////////////////////// using namespace std; using namespace boost::spirit; //////////////////////////////////////////////////////////////////////////// // // Semantic Actions // //////////////////////////////////////////////////////////////////////////// // // namespace { //semantic action function on individual lexeme void do_noint(char const* start, char const* end) { string str(start, end); if (str != "NAT1") cout << "PUSH(" << str << ')' << endl; } //semantic action function on addition of lexemes void do_add(char const*, char const*) { cout << "ADD" << endl; // for(vector::iterator vi = strVect.begin(); vi < strVect.end(); ++vi) // cout << *vi << " "; } //semantic action function on subtraction of lexemes void do_subt(char const*, char const*) { cout << "SUBTRACT" << endl; } //semantic action function on multiplication of lexemes void do_mult(char const*, char const*) { cout << "\nMULTIPLY" << endl; } //semantic action function on division of lexemes void do_div(char const*, char const*) { cout << "\nDIVIDE" << endl; } // // vector flowTable; //semantic action function on simple substitution void do_sSubst(char const* start, char const* end) { string str(start, end); //use boost tokenizer to break down tokens typedef boost::tokenizer Tokenizer; boost::char_separator sep(" -+/*:=()",0,boost::drop_empty_tokens); // char separator definition Tokenizer tok(str, sep); Tokenizer::iterator tok_iter = tok.begin(); pair dependency; //create a pair object for dependencies //create a vector object to store all tokens vector dx; // int counter = 0; // tracks token position for(tok.begin(); tok_iter != tok.end(); ++tok_iter) //save all tokens in vector { dx.push_back(*tok_iter ); } counter = dx.size(); // vector d_hat; //stores set of dependency pairs string dep; //pairs variables as string object // dependency.first = *tok.begin(); vector FV; for(int unsigned i=1; i < dx.size(); i++) { // if(!atoi(dx.at(i).c_str()) && (dx.at(i) !=" ")) { dependency.second = dx.at(i); dep = dependency.first + "|-" + dependency.second + " "; d_hat.push_back(dep); vector<string> row; row.push_back(dependency.first); //push x_hat into first column of each row for(unsigned int j=0; j<2; j++) { row.push_back(dependency.second);//push an element (column) into the row } flowTable.push_back(row); //Add the row to the main vector } } //displays internal representation of information flow table cout << "\n****************\nDependency Table\n****************\n"; cout << "X_Hat\tDx\tG_Hat\n"; cout << "-----------------------------\n"; for(unsigned int i=0; i < flowTable.size(); i++) { for(unsigned int j=0; j<2; j++) { cout << flowTable[i][j] << "\t "; } if (*tok.begin() != "WHILE" ) //if there are no global flows, cout << "\t{}"; //display empty set cout << "\n"; } cout << "***************\n\n"; for(int unsigned j=0; j < FV.size(); j++) { if(FV.at(j) != dependency.second) dep = dependency.first + "|-" + dependency.second + " "; d_hat.push_back(dep); } cout << "PUSH(" << str << ')' << endl; cout << "\n*******\nDependency pairs\n*******\n"; for(int unsigned i=0; i < d_hat.size(); i++) cout << d_hat.at(i) << "\n...\n"; cout << "\nSIMPLE SUBSTITUTION\n\n"; } //semantic action function on multiple substitution void do_mSubst(char const* start, char const* end) { string str(start, end); cout << "PUSH(" << str << ')' << endl; //cout << "\nMULTIPLE SUBSTITUTION\n\n"; } //semantic action function on unbounded choice substitution void do_mChoice(char const* start, char const* end) { string str(start, end); cout << "PUSH(" << str << ')' << endl; cout << "\nUNBOUNDED CHOICE SUBSTITUTION\n\n"; } void do_logicExpr(char const* start, char const* end) { string str(start, end); //use boost tokenizer to break down tokens typedef boost::tokenizer Tokenizer; boost::char_separator sep(" -+/*=:()<",0,boost::drop_empty_tokens); // char separator definition Tokenizer tok(str, sep); Tokenizer::iterator tok_iter = tok.begin(); //pair dependency; //create a pair object for dependencies //create a vector object to store all tokens vector dx; for(tok.begin(); tok_iter != tok.end(); ++tok_iter) //save all tokens in vector { dx.push_back(*tok_iter ); } for(unsigned int i=0; i cout << "PUSH(" << str << ')' << endl; cout << "\nPREDICATE\n\n"; } void do_predicate(char const* start, char const* end) { string str(start, end); cout << "PUSH(" << str << ')' << endl; cout << "\nMULTIPLE PREDICATE\n\n"; } void do_ifSelectPre(char const* start, char const* end) { string str(start, end); //if cout << "PUSH(" << str << ')' << endl; cout << "\nPROTECTED SUBSTITUTION\n\n"; } //semantic action function on machine substitution void do_machSubst(char const* start, char const* end) { string str(start, end); cout << "PUSH(" << str << ')' << endl; cout << "\nMACHINE SUBSTITUTION\n\n"; } } //////////////////////////////////////////////////////////////////////////// // // Machine Substitution Grammar // //////////////////////////////////////////////////////////////////////////// // Simple substitution grammar parser with integer values removed struct Substitution : public grammar { template struct definition { definition(Substitution const& ) { machine_subst = ( (simple_subst) | (multi_subst) | (if_select_pre_subst) | (unbounded_choice) )[&do_machSubst] ; unbounded_choice = str_p("ANY") ide_list str_p("WHERE") predicate str_p("THEN") machine_subst str_p("END") ; if_select_pre_subst = ( ( str_p("IF") predicate str_p("THEN") machine_subst *( str_p("ELSIF") predicate machine_subst ) !( str_p("ELSE") machine_subst) str_p("END") ) | ( str_p("SELECT") predicate str_p("THEN") machine_subst *( str_p("WHEN") predicate machine_subst ) !( str_p("ELSE") machine_subst) str_p("END")) | ( str_p("PRE") predicate str_p("THEN") machine_subst str_p("END") ) )[&do_ifSelectPre] ; multi_subst = ( (machine_subst) *( ( str_p("||") (machine_subst) ) | ( str_p("[]") (machine_subst) ) ) ) [&do_mSubst] ; simple_subst = (identifier str_p(":=") arith_expr) [&do_sSubst] ; expression = predicate | arith_expr ; predicate = ( (logic_expr) *( ( ch_p('&') (logic_expr) ) | ( str_p("OR") (logic_expr) ) ) )[&do_predicate] ; logic_expr = ( identifier (str_p("<") arith_expr) | (str_p("<") arith_expr) | (str_p("/:") arith_expr) | (str_p("<:") arith_expr) | (str_p("/<:") arith_expr) | (str_p("<<:") arith_expr) | (str_p("/<<:") arith_expr) | (str_p("<=") arith_expr) | (str_p("=") arith_expr) | (str_p("=") arith_expr) | (str_p("=") arith_expr) ) [&do_logicExpr] ; arith_expr = term *( ('+' term)[&do_add] | ('-' term)[&do_subt] ) ; term = factor ( ('' factor)[&do_mult] | ('/' factor)[&do_div] ) ; factor = lexeme_d[( identifier | +digit_p)[&do_noint]] | '(' expression ')' | ('+' factor) ; ide_list = identifier *( ch_p(',') identifier ) ; identifier = alpha_p +( alnum_p | ch_p('_') ) ; } rule machine_subst, unbounded_choice, if_select_pre_subst, multi_subst, simple_subst, expression, predicate, logic_expr, arith_expr, term, factor, ide_list, identifier; rule<ScannerT> const& start() const { return predicate; //return multi_subst; //return machine_subst; } }; }; //////////////////////////////////////////////////////////////////////////// // // Main program // //////////////////////////////////////////////////////////////////////////// int main() { cout << "*********************************\n\n"; cout << "\t\t...Machine Parser...\n\n"; cout << "*********************************\n\n"; // cout << "Type an expression...or [q or Q] to quit\n\n"; string str; int machineCount = 0; char strFilename[256]; //file name store as a string object do { cout << "Please enter a filename...or [q or Q] to quit:\n\n "; //prompt for file name to be input //char strFilename[256]; //file name store as a string object cin strFilename; if(*strFilename == 'q' || *strFilename == 'Q') //termination condition return 0; ifstream inFile(strFilename); // opens file object for reading //output file for truncated machine (operations only) if (inFile.fail()) cerr << "\nUnable to open file for reading.\n" << endl; inFile.unsetf(std::ios::skipws); Substitution elementary_subst; // Simple substitution parser object string next; while (inFile str) { getline(inFile, next); str += next; if (str.empty() || str[0] == 'q' || str[0] == 'Q') break; parse_info< info = parse(str.c_str(), elementary_subst !end_p, space_p); if (info.full) { cout << "\n-------------------------\n"; cout << "Parsing succeeded\n"; cout << "\n-------------------------\n"; } else { cout << "\n-------------------------\n"; cout << "Parsing failed\n"; cout << "stopped at: " << info.stop << "\"\n"; cout << "\n-------------------------\n"; } } } while ( (*strFilename != 'q' || *strFilename !='Q')); return 0; } However, I am experiencing the following unexpected behaviours on testing: The text files I used are: f1.txt, ... containing ...: debt:=(LoanRequest+outstandingLoan1)*20 . f2.txt, ... containing ...: debt:=(LoanRequest+outstandingLoan1)*20 || newDebt := loanammount-paidammount || price := purchasePrice + overhead + bb . f3.txt, ... containing ...: yy < (xx+7+ww) . f4.txt, ... containing ...: yy < (xx+7+ww) & yy : NAT . When I use multi_subst as start rule both files (f1 and f2) are parsed correctly; When I use machine_subst as start rule file f1 parse correctly, while file f2 fails, producing the error: “Parsing failed stopped at: || newDebt := loanammount-paidammount || price := purchasePrice + overhead + bb” When I use predicate as start symbol, file f3 parse correctly, but file f4 yields the error: “ “Parsing failed stopped at: & yy : NAT” Can anyone help with the grammar, please? It appears there are problems with the grammar that I have so far been unable to spot.

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• Help with Boost Grammar

  - by Decmanc04

  I have been using the following win32 console code to try to parse a B Machine Grammar embedded within C++ using Boost Spirit grammar template. I am a relatively new Boost user. The code compiles, but when I run the .exe file produced by VC++2008, the program partially parses the input file. I believe the problem is with my grammar definition or the functions attached as semantic atctions. The code is given below: // BIFAnalyser.cpp : Defines the entry point for the console application. // // /*============================================================================= Copyright (c) Temitope Jos Onunkun 2010 http://www.dcs.kcl.ac.uk/pg/onun/ Use, modification and distribution is subject to the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt) =============================================================================*/ //////////////////////////////////////////////////////////////////////////// // // // B Machine parser using the Boost "Grammar" and "Semantic Actions". // // // //////////////////////////////////////////////////////////////////////////// #include <boost/spirit/core.hpp> #include <boost/tokenizer.hpp> #include <iostream> #include <string> #include <fstream> #include <vector> #include <utility> /////////////////////////////////////////////////////////////////////////////////////////// using namespace std; using namespace boost::spirit; /////////////////////////////////////////////////////////////////////////////////////////// // // Semantic actions // //////////////////////////////////////////////////////////////////////////// vector<string> strVect; namespace { //semantic action function on individual lexeme void do_noint(char const* str, char const* end) { string s(str, end); if(atoi(str)) { ; } else { strVect.push_back(s); cout << "PUSH(" << s << ')' << endl; } } //semantic action function on addition of lexemes void do_add(char const*, char const*) { cout << "ADD" << endl; for(vector<string>::iterator vi = strVect.begin(); vi < strVect.end(); ++vi) cout << *vi << " "; } //semantic action function on subtraction of lexemes void do_subt(char const*, char const*) { cout << "SUBTRACT" << endl; for(vector<string>::iterator vi = strVect.begin(); vi < strVect.end(); ++vi) cout << *vi << " "; } //semantic action function on multiplication of lexemes void do_mult(char const*, char const*) { cout << "\nMULTIPLY" << endl; for(vector<string>::iterator vi = strVect.begin(); vi < strVect.end(); ++vi) cout << *vi << " "; cout << "\n"; } //semantic action function on division of lexemes void do_div(char const*, char const*) { cout << "\nDIVIDE" << endl; for(vector<string>::iterator vi = strVect.begin(); vi < strVect.end(); ++vi) cout << *vi << " "; } //semantic action function on simple substitution void do_sSubst(char const* str, char const* end) { string s(str, end); //use boost tokenizer to break down tokens typedef boost::tokenizer<boost::char_separator<char> > Tokenizer; boost::char_separator<char> sep("-+/*:=()"); // default char separator Tokenizer tok(s, sep); Tokenizer::iterator tok_iter = tok.begin(); pair<string, string > dependency; //create a pair object for dependencies //save first variable token in simple substitution dependency.first = *tok.begin(); //create a vector object to store all tokens vector<string> dx; // for( ; tok_iter != tok.end(); ++tok_iter) //save all tokens in vector { dx.push_back(*tok_iter ); } vector<string> d_hat; //stores set of dependency pairs string dep; //pairs variables as string object for(int unsigned i=1; i < dx.size()-1; i++) { dependency.second = dx.at(i); dep = dependency.first + "|->" + dependency.second + " "; d_hat.push_back(dep); } cout << "PUSH(" << s << ')' << endl; for(int unsigned i=0; i < d_hat.size(); i++) cout <<"\n...\n" << d_hat.at(i) << " "; cout << "\nSIMPLE SUBSTITUTION\n"; } //semantic action function on multiple substitution void do_mSubst(char const* str, char const* end) { string s(str, end); //use boost tokenizer to break down tokens typedef boost::tokenizer<boost::char_separator<char> > Tok; boost::char_separator<char> sep("-+/*:=()"); // default char separator Tok tok(s, sep); Tok::iterator tok_iter = tok.begin(); // string start = *tok.begin(); vector<string> mx; for( ; tok_iter != tok.end(); ++tok_iter) //save all tokens in vector { mx.push_back(*tok_iter ); } mx.push_back("END\n"); //add a marker "end" for(unsigned int i=0; i<mx.size(); i++) { // if(mx.at(i) == "END" || mx.at(i) == "||" ) // break; // else if( mx.at(i) == "||") // do_sSubst(str, end); // else // { // do_sSubst(str, end); // } cout << "\nTokens ... " << mx.at(i) << " "; } cout << "PUSH(" << s << ')' << endl; cout << "MULTIPLE SUBSTITUTION\n"; } } //////////////////////////////////////////////////////////////////////////// // // Simple Substitution Grammar // //////////////////////////////////////////////////////////////////////////// // Simple substitution grammar parser with integer values removed struct Substitution : public grammar<Substitution> { template <typename ScannerT> struct definition { definition(Substitution const& ) { multi_subst = (simple_subst [&do_mSubst] >> +( str_p("||") >> simple_subst [&do_mSubst]) ) ; simple_subst = (Identifier >> str_p(":=") >> expression)[&do_sSubst] ; Identifier = alpha_p >> +alnum_p//[do_noint] ; expression = term >> *( ('+' >> term)[&do_add] | ('-' >> term)[&do_subt] ) ; term = factor >> *( ('*' >> factor)[&do_mult] | ('/' >> factor)[&do_div] ) ; factor = lexeme_d[( (alpha_p >> +alnum_p) | +digit_p)[&do_noint]] | '(' >> expression >> ')' | ('+' >> factor) ; } rule<ScannerT> expression, term, factor, Identifier, simple_subst, multi_subst ; rule<ScannerT> const& start() const { return multi_subst; } }; }; //////////////////////////////////////////////////////////////////////////// // // Main program // //////////////////////////////////////////////////////////////////////////// int main() { cout << "************************************************************\n\n"; cout << "\t\t...Machine Parser...\n\n"; cout << "************************************************************\n\n"; // cout << "Type an expression...or [q or Q] to quit\n\n"; //prompt for file name to be input cout << "Please enter a filename...or [q or Q] to quit:\n\n "; char strFilename[256]; //file name store as a string object cin >> strFilename; ifstream inFile(strFilename); // opens file object for reading //output file for truncated machine (operations only) Substitution elementary_subst; // Simple substitution parser object string str, next; // inFile.open(strFilename); while (inFile >> str) { getline(cin, next); str += next; if (str.empty() || str[0] == 'q' || str[0] == 'Q') break; parse_info<> info = parse(str.c_str(), elementary_subst, space_p); if (info.full) { cout << "\n-------------------------\n"; cout << "Parsing succeeded\n"; cout << "\n-------------------------\n"; } else { cout << "\n-------------------------\n"; cout << "Parsing failed\n"; cout << "stopped at: \": " << info.stop << "\"\n"; cout << "\n-------------------------\n"; } } cout << "Please enter a filename...or [q or Q] to quit\n"; cin >> strFilename; return 0; } The contents of the file I tried to parse, which I named "mf7.txt" is given below: debt:=(LoanRequest+outstandingLoan1)*20 || newDebt := loanammount-paidammount The output when I execute the program is: ************************************************************ ...Machine Parser... ************************************************************ Please enter a filename...or [q or Q] to quit: c:\tplat\mf7.txt PUSH(LoanRequest) PUSH(outstandingLoan1) ADD LoanRequest outstandingLoan1 MULTIPLY LoanRequest outstandingLoan1 PUSH(debt:=(LoanRequest+outstandingLoan1)*20) ... debt|->LoanRequest ... debt|->outstandingLoan1 SIMPLE SUBSTITUTION Tokens ... debt Tokens ... LoanRequest Tokens ... outstandingLoan1 Tokens ... 20 Tokens ... END PUSH(debt:=(LoanRequest+outstandingLoan1)*20) MULTIPLE SUBSTITUTION ------------------------- Parsing failedstopped at: ": " ------------------------- My intention is to capture only the variables in the file, which I managed to do up to the "||" string. Clearly, the program is not parsing beyond the "||" string in the input file. I will appreciate assistance to fix the grammar. SOS, please.

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• How can I estimate the entropy of a password?

  - by Wug

  Having read various resources about password strength I'm trying to create an algorithm that will provide a rough estimation of how much entropy a password has. I'm trying to create an algorithm that's as comprehensive as possible. At this point I only have pseudocode, but the algorithm covers the following: password length repeated characters patterns (logical) different character spaces (LC, UC, Numeric, Special, Extended) dictionary attacks It does NOT cover the following, and SHOULD cover it WELL (though not perfectly): ordering (passwords can be strictly ordered by output of this algorithm) patterns (spatial) Can anyone provide some insight on what this algorithm might be weak to? Specifically, can anyone think of situations where feeding a password to the algorithm would OVERESTIMATE its strength? Underestimations are less of an issue. The algorithm: // the password to test password = ? length = length(password) // unique character counts from password (duplicates discarded) uqlca = number of unique lowercase alphabetic characters in password uquca = number of uppercase alphabetic characters uqd = number of unique digits uqsp = number of unique special characters (anything with a key on the keyboard) uqxc = number of unique special special characters (alt codes, extended-ascii stuff) // algorithm parameters, total sizes of alphabet spaces Nlca = total possible number of lowercase letters (26) Nuca = total uppercase letters (26) Nd = total digits (10) Nsp = total special characters (32 or something) Nxc = total extended ascii characters that dont fit into other categorys (idk, 50?) // algorithm parameters, pw strength growth rates as percentages (per character) flca = entropy growth factor for lowercase letters (.25 is probably a good value) fuca = EGF for uppercase letters (.4 is probably good) fd = EGF for digits (.4 is probably good) fsp = EGF for special chars (.5 is probably good) fxc = EGF for extended ascii chars (.75 is probably good) // repetition factors. few unique letters == low factor, many unique == high rflca = (1 - (1 - flca) ^ uqlca) rfuca = (1 - (1 - fuca) ^ uquca) rfd = (1 - (1 - fd ) ^ uqd ) rfsp = (1 - (1 - fsp ) ^ uqsp ) rfxc = (1 - (1 - fxc ) ^ uqxc ) // digit strengths strength = ( rflca * Nlca + rfuca * Nuca + rfd * Nd + rfsp * Nsp + rfxc * Nxc ) ^ length entropybits = log_base_2(strength) A few inputs and their desired and actual entropy_bits outputs: INPUT DESIRED ACTUAL aaa very pathetic 8.1 aaaaaaaaa pathetic 24.7 abcdefghi weak 31.2 H0ley$Mol3y_ strong 72.2 s^fU¬5ü;y34G< wtf 88.9 [a^36]* pathetic 97.2 [a^20]A[a^15]* strong 146.8 xkcd1** medium 79.3 xkcd2** wtf 160.5 * these 2 passwords use shortened notation, where [a^N] expands to N a's. ** xkcd1 = "Tr0ub4dor&3", xkcd2 = "correct horse battery staple" The algorithm does realize (correctly) that increasing the alphabet size (even by one digit) vastly strengthens long passwords, as shown by the difference in entropy_bits for the 6th and 7th passwords, which both consist of 36 a's, but the second's 21st a is capitalized. However, they do not account for the fact that having a password of 36 a's is not a good idea, it's easily broken with a weak password cracker (and anyone who watches you type it will see it) and the algorithm doesn't reflect that. It does, however, reflect the fact that xkcd1 is a weak password compared to xkcd2, despite having greater complexity density (is this even a thing?). How can I improve this algorithm? Addendum 1 Dictionary attacks and pattern based attacks seem to be the big thing, so I'll take a stab at addressing those. I could perform a comprehensive search through the password for words from a word list and replace words with tokens unique to the words they represent. Word-tokens would then be treated as characters and have their own weight system, and would add their own weights to the password. I'd need a few new algorithm parameters (I'll call them lw, Nw ~= 2^11, fw ~= .5, and rfw) and I'd factor the weight into the password as I would any of the other weights. This word search could be specially modified to match both lowercase and uppercase letters as well as common character substitutions, like that of E with 3. If I didn't add extra weight to such matched words, the algorithm would underestimate their strength by a bit or two per word, which is OK. Otherwise, a general rule would be, for each non-perfect character match, give the word a bonus bit. I could then perform simple pattern checks, such as searches for runs of repeated characters and derivative tests (take the difference between each character), which would identify patterns such as 'aaaaa' and '12345', and replace each detected pattern with a pattern token, unique to the pattern and length. The algorithmic parameters (specifically, entropy per pattern) could be generated on the fly based on the pattern. At this point, I'd take the length of the password. Each word token and pattern token would count as one character; each token would replace the characters they symbolically represented. I made up some sort of pattern notation, but it includes the pattern length l, the pattern order o, and the base element b. This information could be used to compute some arbitrary weight for each pattern. I'd do something better in actual code. Modified Example: Password: 1234kitty$$$$$herpderp Tokenized: 1 2 3 4 k i t t y $ $ $ $ $ h e r p d e r p Words Filtered: 1 2 3 4 @W5783 $ $ $ $ $ @W9001 @W9002 Patterns Filtered: @P[l=4,o=1,b='1'] @W5783 @P[l=5,o=0,b='$'] @W9001 @W9002 Breakdown: 3 small, unique words and 2 patterns Entropy: about 45 bits, as per modified algorithm Password: correcthorsebatterystaple Tokenized: c o r r e c t h o r s e b a t t e r y s t a p l e Words Filtered: @W6783 @W7923 @W1535 @W2285 Breakdown: 4 small, unique words and no patterns Entropy: 43 bits, as per modified algorithm The exact semantics of how entropy is calculated from patterns is up for discussion. I was thinking something like: entropy(b) * l * (o + 1) // o will be either zero or one The modified algorithm would find flaws with and reduce the strength of each password in the original table, with the exception of s^fU¬5ü;y34G<, which contains no words or patterns.

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• How to maintain encapsulation with composition in C++?

  - by iFreilicht

  I am designing a class Master that is composed from multiple other classes, A, Base, C and D. These four classes have absolutely no use outside of Master and are meant to split up its functionality into manageable and logically divided packages. They also provide extensible functionality as in the case of Base, which can be inherited from by clients. But, how do I maintain encapsulation of Master with this design? So far, I've got two approaches, which are both far from perfect: 1. Replicate all accessors: Just write accessor-methods for all accessor-methods of all classes that Master is composed of. This leads to perfect encapsulation, because no implementation detail of Master is visible, but is extremely tedious and makes the class definition monstrous, which is exactly what the composition should prevent. Also, adding functionality to one of the composees (is that even a word?) would require to re-write all those methods in Master. An additional problem is that inheritors of Base could only alter, but not add functionality. 2. Use non-assignable, non-copyable member-accessors: Having a class accessor<T> that can not be copied, moved or assigned to, but overrides the operator-> to access an underlying shared_ptr, so that calls like Master->A()->niceFunction(); are made possible. My problem with this is that it kind of breaks encapsulation as I would now be unable to change my implementation of Master to use a different class for the functionality of niceFunction(). Still, it is the closest I've gotten without using the ugly first approach. It also fixes the inheritance issue quite nicely. A small side question would be if such a class already existed in std or boost. EDIT: Wall of code I will now post the code of the header files of the classes discussed. It may be a bit hard to understand, but I'll give my best in explaining all of it. 1. GameTree.h The foundation of it all. This basically is a doubly-linked tree, holding GameObject-instances, which we'll later get to. It also has it's own custom iterator GTIterator, but I left that out for brevity. WResult is an enum with the values SUCCESS and FAILED, but it's not really important. class GameTree { public: //Static methods for the root. Only one root is allowed to exist at a time! static void ConstructRoot(seed_type seed, unsigned int depth); inline static bool rootExists(){ return static_cast<bool>(rootObject_); } inline static weak_ptr<GameTree> root(){ return rootObject_; } //delta is in ms, this is used for velocity, collision and such void tick(unsigned int delta); //Interaction with the tree inline weak_ptr<GameTree> parent() const { return parent_; } inline unsigned int numChildren() const{ return static_cast<unsigned int>(children_.size()); } weak_ptr<GameTree> getChild(unsigned int index) const; template<typename GOType> weak_ptr<GameTree> addChild(seed_type seed, unsigned int depth = 9001){ GOType object{ new GOType(seed) }; return addChildObject(unique_ptr<GameTree>(new GameTree(std::move(object), depth))); } WResult moveTo(weak_ptr<GameTree> newParent); WResult erase(); //Iterators for for( : ) loop GTIterator& begin(){ return *(beginIter_ = std::move(make_unique<GTIterator>(children_.begin()))); } GTIterator& end(){ return *(endIter_ = std::move(make_unique<GTIterator>(children_.end()))); } //unloading should be used when objects are far away WResult unloadChildren(unsigned int newDepth = 0); WResult loadChildren(unsigned int newDepth = 1); inline const RenderObject& renderObject() const{ return gameObject_->renderObject(); } //Getter for the underlying GameObject (I have not tested the template version) weak_ptr<GameObject> gameObject(){ return gameObject_; } template<typename GOType> weak_ptr<GOType> gameObject(){ return dynamic_cast<weak_ptr<GOType>>(gameObject_); } weak_ptr<PhysicsObject> physicsObject() { return gameObject_->physicsObject(); } private: GameTree(const GameTree&); //copying is only allowed internally GameTree(shared_ptr<GameObject> object, unsigned int depth = 9001); //pointer to root static shared_ptr<GameTree> rootObject_; //internal management of a child weak_ptr<GameTree> addChildObject(shared_ptr<GameTree>); WResult removeChild(unsigned int index); //private members shared_ptr<GameObject> gameObject_; shared_ptr<GTIterator> beginIter_; shared_ptr<GTIterator> endIter_; //tree stuff vector<shared_ptr<GameTree>> children_; weak_ptr<GameTree> parent_; unsigned int selfIndex_; //used for deletion, this isn't necessary void initChildren(unsigned int depth); //constructs children }; 2. GameObject.h This is a bit hard to grasp, but GameObject basically works like this: When constructing a GameObject, you construct its basic attributes and a CResult-instance, which contains a vector<unique_ptr<Construction>>. The Construction-struct contains all information that is needed to construct a GameObject, which is a seed and a function-object that is applied at construction by a factory. This enables dynamic loading and unloading of GameObjects as done by GameTree. It also means that you have to define that factory if you inherit GameObject. This inheritance is also the reason why GameTree has a template-function gameObject<GOType>. GameObject can contain a RenderObject and a PhysicsObject, which we'll later get to. Anyway, here's the code. class GameObject; typedef unsigned long seed_type; //this declaration magic means that all GameObjectFactorys inherit from GameObjectFactory<GameObject> template<typename GOType> struct GameObjectFactory; template<> struct GameObjectFactory<GameObject>{ virtual unique_ptr<GameObject> construct(seed_type seed) const = 0; }; template<typename GOType> struct GameObjectFactory : GameObjectFactory<GameObject>{ GameObjectFactory() : GameObjectFactory<GameObject>(){} unique_ptr<GameObject> construct(seed_type seed) const{ return unique_ptr<GOType>(new GOType(seed)); } }; //same as with the factories. this is important for storing them in vectors template<typename GOType> struct Construction; template<> struct Construction<GameObject>{ virtual unique_ptr<GameObject> construct() const = 0; }; template<typename GOType> struct Construction : Construction<GameObject>{ Construction(seed_type seed, function<void(GOType*)> func = [](GOType* null){}) : Construction<GameObject>(), seed_(seed), func_(func) {} unique_ptr<GameObject> construct() const{ unique_ptr<GameObject> gameObject{ GOType::factory.construct(seed_) }; func_(dynamic_cast<GOType*>(gameObject.get())); return std::move(gameObject); } seed_type seed_; function<void(GOType*)> func_; }; typedef struct CResult { CResult() : constructions{} {} CResult(CResult && o) : constructions(std::move(o.constructions)) {} CResult& operator= (CResult& other){ if (this != &other){ for (unique_ptr<Construction<GameObject>>& child : other.constructions){ constructions.push_back(std::move(child)); } } return *this; } template<typename GOType> void push_back(seed_type seed, function<void(GOType*)> func = [](GOType* null){}){ constructions.push_back(make_unique<Construction<GOType>>(seed, func)); } vector<unique_ptr<Construction<GameObject>>> constructions; } CResult; //finally, the GameObject class GameObject { public: GameObject(seed_type seed); GameObject(const GameObject&); virtual void tick(unsigned int delta); inline Matrix4f trafoMatrix(){ return physicsObject_->transformationMatrix(); } //getter inline seed_type seed() const{ return seed_; } inline CResult& properties(){ return properties_; } inline const RenderObject& renderObject() const{ return *renderObject_; } inline weak_ptr<PhysicsObject> physicsObject() { return physicsObject_; } protected: virtual CResult construct_(seed_type seed) = 0; CResult properties_; shared_ptr<RenderObject> renderObject_; shared_ptr<PhysicsObject> physicsObject_; seed_type seed_; }; 3. PhysicsObject That's a bit easier. It is responsible for position, velocity and acceleration. It will also handle collisions in the future. It contains three Transformation objects, two of which are optional. I'm not going to include the accessors on the PhysicsObject class because I tried my first approach on it and it's just pure madness (way over 30 functions). Also missing: the named constructors that construct PhysicsObjects with different behaviour. class Transformation{ Vector3f translation_; Vector3f rotation_; Vector3f scaling_; public: Transformation() : translation_{ 0, 0, 0 }, rotation_{ 0, 0, 0 }, scaling_{ 1, 1, 1 } {}; Transformation(Vector3f translation, Vector3f rotation, Vector3f scaling); inline Vector3f translation(){ return translation_; } inline void translation(float x, float y, float z){ translation(Vector3f(x, y, z)); } inline void translation(Vector3f newTranslation){ translation_ = newTranslation; } inline void translate(float x, float y, float z){ translate(Vector3f(x, y, z)); } inline void translate(Vector3f summand){ translation_ += summand; } inline Vector3f rotation(){ return rotation_; } inline void rotation(float pitch, float yaw, float roll){ rotation(Vector3f(pitch, yaw, roll)); } inline void rotation(Vector3f newRotation){ rotation_ = newRotation; } inline void rotate(float pitch, float yaw, float roll){ rotate(Vector3f(pitch, yaw, roll)); } inline void rotate(Vector3f summand){ rotation_ += summand; } inline Vector3f scaling(){ return scaling_; } inline void scaling(float x, float y, float z){ scaling(Vector3f(x, y, z)); } inline void scaling(Vector3f newScaling){ scaling_ = newScaling; } inline void scale(float x, float y, float z){ scale(Vector3f(x, y, z)); } void scale(Vector3f factor){ scaling_(0) *= factor(0); scaling_(1) *= factor(1); scaling_(2) *= factor(2); } Matrix4f matrix(){ return WMatrix::Translation(translation_) * WMatrix::Rotation(rotation_) * WMatrix::Scale(scaling_); } }; class PhysicsObject; typedef void tickFunction(PhysicsObject& self, unsigned int delta); class PhysicsObject{ PhysicsObject(const Transformation& trafo) : transformation_(trafo), transformationVelocity_(nullptr), transformationAcceleration_(nullptr), tick_(nullptr) {} PhysicsObject(PhysicsObject&& other) : transformation_(other.transformation_), transformationVelocity_(std::move(other.transformationVelocity_)), transformationAcceleration_(std::move(other.transformationAcceleration_)), tick_(other.tick_) {} Transformation transformation_; unique_ptr<Transformation> transformationVelocity_; unique_ptr<Transformation> transformationAcceleration_; tickFunction* tick_; public: void tick(unsigned int delta){ tick_ ? tick_(*this, delta) : 0; } inline Matrix4f transformationMatrix(){ return transformation_.matrix(); } } 4. RenderObject RenderObject is a base class for different types of things that could be rendered, i.e. Meshes, Light Sources or Sprites. DISCLAIMER: I did not write this code, I'm working on this project with someone else. class RenderObject { public: RenderObject(float renderDistance); virtual ~RenderObject(); float renderDistance() const { return renderDistance_; } void setRenderDistance(float rD) { renderDistance_ = rD; } protected: float renderDistance_; }; struct NullRenderObject : public RenderObject{ NullRenderObject() : RenderObject(0.f){}; }; class Light : public RenderObject{ public: Light() : RenderObject(30.f){}; }; class Mesh : public RenderObject{ public: Mesh(unsigned int seed) : RenderObject(20.f) { meshID_ = 0; textureID_ = 0; if (seed == 1) meshID_ = Model::getMeshID("EM-208_heavy"); else meshID_ = Model::getMeshID("cube"); }; unsigned int getMeshID() const { return meshID_; } unsigned int getTextureID() const { return textureID_; } private: unsigned int meshID_; unsigned int textureID_; }; I guess this shows my issue quite nicely: You see a few accessors in GameObject which return weak_ptrs to access members of members, but that is not really what I want. Also please keep in mind that this is NOT, by any means, finished or production code! It is merely a prototype and there may be inconsistencies, unnecessary public parts of classes and such.

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• iPad UI clipped in simulator

  - by raj.tiwari

  My views created for iPad form factor look fine in Interface Builder. However, when I debug my app in iPhone Simulator 3.2 (with Hardware - Device set to iPad), I see the UI clipped and about half size. There is a 2x button at the bottom which lets me zoom in. But this just shows the same clipped UI in double size. This is really weird since I have created the XIB for iPad form factor and it is supposed to fit iPad completely. Any ideas what I might be doing wrong? I am using iPhone SDK 3.2 downloaded on 4/30/2010. Thanks. -Raj

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• Using python to play two sine tones at once

  - by Alex

  I'm using python to play a sine tone. The tone is based off the computer's internal time in minutes, but I'd like to simultaneously play one based off the second for a harmonized or dualing sound. This is what I have so far; can someone point me in the right direction? from struct import pack from math import sin, pi import time def au_file(name, freq, dur, vol): fout = open(name, 'wb') # header needs size, encoding=2, sampling_rate=8000, channel=1 fout.write('.snd' + pack('>5L', 24, 8*dur, 2, 8000, 1)) factor = 2 * pi * freq/8000 # write data for seg in range(8 * dur): # sine wave calculations sin_seg = sin(seg * factor) fout.write(pack('b', vol * 127 * sin_seg)) fout.close() t = time.strftime("%S", time.localtime()) ti = time.strftime("%M", time.localtime()) tis = float(t) tis = tis * 100 tim = float(ti) tim = tim * 100 if __name__ == '__main__': au_file(name='timeSound1.au', freq = tim, dur=1000, vol=1.0) import os os.startfile('timeSound1.au')

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• Using python to play two sin tones at once

  - by Alex

  Im using python to a sine tone. the tone is based off the computers internal time in minutes, but id like to simultaneously play one based off the second for a harmonized or dualing sound. This is what I have so far can someone point me in the right direction. from struct import pack from math import sin, pi import time def au_file(name, freq, dur, vol): fout = open(name, 'wb') # header needs size, encoding=2, sampling_rate=8000, channel=1 fout.write('.snd' + pack('>5L', 24, 8*dur, 2, 8000, 1)) factor = 2 * pi * freq/8000 # write data for seg in range(8 * dur): # sine wave calculations sin_seg = sin(seg * factor) fout.write(pack('b', vol * 127 * sin_seg)) fout.close() t = time.strftime("%S", time.localtime()) ti = time.strftime("%M", time.localtime()) tis = float(t) tis = tis * 100 tim = float(ti) tim = tim * 100 if name == 'main': au_file(name='timeSound1.au', freq = tim, dur=1000, vol=1.0) import os os.startfile('timeSound1.au')

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• How do I prevent jagged edges alongside the surfaces of my 3d model?

  - by badcodenotreat

  Lets say I've implemented in openGL a crude model viewer with shading which renders a series of blocks, such that I have something that looks like this. http://i.imgur.com/TsF7K.jpg Whenever I rotate my model to the side, it causes an unwanted jagged effect along any surface with a steep viewing angle. http://i.imgur.com/Bgl9o.jpg I'm pretty sure this is due to the polygon offset I used to prevent z-fighting between the model and the wireframe, however I'm not able to find the factor/unit parameters in openGL which prevent this unwanted effect. what are the best values of factor and unit for glPolygonOffset to prevent this? would implementing anti-aliasing alleviate the problem? is the trade off in performance trivial/significant? is this perhaps a shading issue? should i try a solution along this line of thought?

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• Reshape data frame to convert factors into columns in R

  - by Alexander L. Belikoff

  I have a data frame where one particular column has a set of specific values (let's say, 1, 2, ..., 23). What I would like to do is to convert from this layout to the one, where the frame would have extra 23 (in this case) columns, each one representing one of the factor values. The data in these columns would be booleans indicating whether a particular row had a given factor value... To show a specific example: Source frame: ID DATE SECTOR 123 2008-01-01 1 456 2008-01-01 3 789 2008-01-02 5 ... <more records with SECTOR values from 1 to 5> Desired format: ID DATE SECTOR.1 SECTOR.2 SECTOR.3 SECTOR.4 SECTOR.5 123 2008-01-01 T F F F F 456 2008-01-01 F F T F F 789 2008-01-02 F F F F T I have no problem doing it in a loop but I hoped there would be a better way. So far reshape() didn't yield the desired result. Help would be much appreciated.

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• Model Fit of Binary GLM with more than 1 or 2 predictors

  - by Salmo salar

  I am trying to predict a binary GLM with multiple predictors. I can do it fine with one predictor variable however struggle when I use multiple Sample data: structure(list(attempt = structure(c(1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L), .Label = c("1", "2"), class = "factor"), searchtime = c(137, 90, 164, 32, 39, 30, 197, 308, 172, 48, 867, 117, 63, 1345, 38, 122, 226, 397, 0, 106, 259, 220, 170, 102, 46, 327, 8, 10, 23, 108, 315, 318, 70, 646, 69, 97, 117, 45, 31, 64, 125, 17, 240, 63, 549, 1651, 233, 406, 334, 168, 127, 47, 881), mean.search.flow = c(15.97766667, 14.226, 17.15724762, 14.7465, 39.579, 23.355, 110.2926923, 71.95709524, 72.73666667, 32.37466667, 50.34905172, 27.98471429, 49.244, 109.1759778, 77.71733333, 37.446875, 101.23875, 67.78534615, 21.359, 36.54257143, 34.13961111, 64.35253333, 80.98554545, 61.50857143, 48.983, 63.81072727, 26.105, 46.783, 23.0605, 33.61557143, 46.31042857, 62.37061905, 12.565, 42.31983721, 15.3982, 14.49625, 23.77425, 25.626, 74.62485714, 170.1547778, 50.67125, 48.098, 66.83644444, 76.564875, 80.63189189, 136.0573243, 136.3484, 86.68688889, 34.82169565, 70.00415385, 64.67233333, 81.72766667, 57.74522034), Pass = structure(c(1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L), .Label = c("0", "1"), class = "factor")), .Names = c("attempt", "searchtime", "mean.search.flow", "Pass"), class = "data.frame", row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 50L, 51L, 53L, 54L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L)) First model with single predictor M2 <- glm(Pass ~ searchtime, data = DF3, family = binomial) summary(M2) drop1(M2, test = "Chi") Plot works fine P1 <- predict(M2, newdata = MyData, type = "link", se = TRUE) plot(x=MyData$searchtime, exp(P1$fit) / (1+exp(P1$fit)), type = "l", ylim = c(0,1), xlab = "search time", ylab = "pobability of passage") lines(MyData$searchtime, exp(P1$fit+1.96*P1$se.fit)/ (1 + exp(P1$fit + 1.96 * P1$se.fit)), lty = 2) lines(MyData$searchtime, exp(P1$fit-1.96*P1$se.fit)/ (1 + exp(P1$fit - 1.96 * P1$se.fit)), lty = 2) points(DF3$searchtime, DF3$Search.and.pass) Second model M2a <- glm(Pass ~ searchtime + mean.search.flow+ attempt, data = DF3, family = binomial) summary(M2a) drop1(M2a, test = "Chi") How do I plot this with "dummy" data? I have tried along the lines of Model.matrix and expand.grid, as you would do with glmer, but fail straight away due to the two categorical variables along with factor(attempt)

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• Program to call other programs

  - by Evil

  hello. I am writing a program that will solve a type of min. spanning tree problem. i have 2 different algorithms that I've gotten working in two separate .cpp files i've named kruskels.cpp and prims.cpp. my question is this: each file takes the following command line to run it . time ./FILENAME INPUTFILE FACTOR i would like to make a program that, depending on what inputfile is entered, will run either kruskels.cpp or prims.cpp. how can i do this? this program must pass those command line arguments to kruskels or prims. each file (kruskels.cpp and prims.cpp) are designed to be run using those command line arugments (so they take in INPUTFILE and FACTOR as variables to do file io). this should be for c++.

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• How to mutate rows of data frame - replacing one value with another

  - by rhh

  I'm having trouble with what I think is a basic R task. Here's my sample dataframe named 'b' Winner Color Size Tom Yellow Med Jerry Yellow Lar Jane Blue Med where items in the Winner column are factors. I'm trying to change "Tom" in the dataframe to "Tom LLC" and I can't get it done. Here's what I tried: Simple way: b$winner[b$winner=='Tom'] = as.factor('Tom LLC') but that failed with "invalid factor level, NAs generated" Next I tried a more advanced route: name_reset = function (x, y, z) { if (x$winner == y) {x$winner = z} } b = adply(b,1,name_reset,'Tom','Tom LLC') but that failed with "Error in list_to_dataframe(res, attr(.data, "split_labels")) : Results are not equal lengths" I feel I'm missing something basic. Can someone redirect me or offer suggestions on the code I wrote above? Thank you very much

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• What is the simplest method to fill the area under a geom_freqpoly line?

  - by mattrepl

  The x-axis is time broken up into time intervals. There is an interval column in the data frame that specifies the time for each row. The column is a factor, where each interval is a different factor level. Plotting a histogram or line using geom_histogram and geom_freqpoly works great, but I'd like to have a line, like that provided by geom_freqpoly, with the area filled. Currently I'm using geom_freqpoly like this: ggplot(quake.data, aes(interval, fill=tweet.type)) + geom_freqpoly(aes(group = tweet.type, colour = tweet.type)) + opts(axis.text.x=theme_text(angle=-60, hjust=0, size = 6)) I would prefer to have a filled area, such as provided by geom_density, but without smoothing the line: UPDATE: The geom_area has been suggested, is there any way to use a ggplot2-generated statistic, such as ..count.., for the geom_area's y-values? Or, does the count aggregation need to occur prior to using ggplot2?

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• ggplot geom_bar - to many bars

  - by Andreas

  I am sorry for the non-informative title. exstatus <- structure(list(org = structure(c(2L, 1L, 7L, 3L, 6L, 2L, 2L, 7L, 2L, 1L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 8L, 4L, 2L, 2L, 5L, 7L, 8L, 6L, 2L, 7L, 2L, 2L, 7L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 1L, 2L, 2L, 7L, 2L, 7L, 2L, 4L, 7L, 2L, 4L, 2L, 2L, 2L, 7L, 7L, 2L, 7L, 2L, 7L, 1L, 7L, 5L, 2L, 2L, 1L, 7L, 3L, 5L, 3L, 2L, 2L, 2L, 7L, 4L, 2L, 7L, 2L, 4L, 2L, 2L, 2L, 4L, 6L, 2L, 4L, 4L, 7L, 2L, 2L, 2L, 7L, 6L, 2L, 2L, 1L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 6L, 2L, 7L, 7L, 2L, 7L, 8L, 7L, 8L, 6L, 7L, 2L, 2L, 2L, 7L, 2L, 7L, 2L, 7L, 2L, 7L, 2L, 4L, 2L, 7L, 2L, 4L, 8L, 2L, 3L, 4L, 2L, 7L, 3L, 8L, 8L, 6L, 2L, 2L, 2L, 7L, 7L, 7L, 7L, 2L, 2L, 2L, 2L, 7L, 2L, 4L, 7L, 7L, 8L, 2L, 7L, 2L, 2L, 2L, 2L, 1L, 7L, 7L, 2L, 1L, 7L, 2L, 7L, 7L, 2L, 2L, 7L, 2L, 2L, 7L, 7L, 2L, 7L, 2L, 7L, 5L, 2L), .Label = c("gl", "il", "gm", "im", "gk", "ik", "tv", "tu"), class = "factor"), art = structure(c(2L, 1L, 3L, 1L, 2L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 1L, 3L, 1L, 2L, 2L, 1L, 3L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 1L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 3L, 1L, 2L), .Label = c("Finish", "Attending", "Something"), class = "factor"), type = structure(c(2L, 2L, 5L, 3L, 1L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 2L, 1L, 5L, 4L, 1L, 2L, 5L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 5L, 2L, 5L, 2L, 3L, 5L, 2L, 3L, 2L, 2L, 2L, 5L, 5L, 2L, 5L, 2L, 5L, 2L, 5L, 1L, 2L, 2L, 2L, 5L, 3L, 1L, 3L, 2L, 2L, 2L, 5L, 3L, 2L, 5L, 2L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 3L, 3L, 5L, 2L, 2L, 2L, 5L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 5L, 5L, 2L, 5L, 4L, 5L, 4L, 1L, 5L, 2L, 2L, 2L, 5L, 2L, 5L, 2L, 5L, 2L, 5L, 2L, 3L, 2L, 5L, 2L, 3L, 4L, 2L, 3L, 3L, 2L, 5L, 3L, 4L, 4L, 1L, 2L, 2L, 2L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 5L, 2L, 3L, 5L, 5L, 4L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 5L, 5L, 2L, 2L, 5L, 2L, 5L, 5L, 2L, 2L, 5L, 2L, 2L, 5L, 5L, 2L, 5L, 2L, 5L, 1L, 2L), .Label = c("short", "long", "between", "young", "old"), class = "factor")), .Names = c("org", "art", "type"), row.names = c(NA, -192L), class = "data.frame") and then the plot ggplot(exstatus, aes(x=type, fill=art))+ geom_bar(aes(y=..count../sum(..count..)),position="dodge") The problem is that the two rightmost bars ("young", "old") are too thick - "something" takes up the whole width - whcih is not what I intended. I am sorry that I can not explain it better.

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• Is the method addSubview of NSView inherently slow? (Cocoa OSX)

  - by Michael Minerva

  I am trying to speed my gui that loads very slow slow when I am loading a large project (the gui is a representation of groups and sub groups and is made up of many views). During this process I was looking at how long certain code segments take to execute and I have found that a call to addsubview is taking between 10 and 20 milliseconds most of the time. The subview I was looking at is a disclosure button. I am wondering if this method is just inherently slow or is their some other factor at work here? Is the time it takes to add the subview dependent on the complexity of the subview or is that not a factor? Also, is there some other method that can be used to add a subview that might be faster?

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• Recursion with Func

  - by David in Dakota

  Is it possible to do recursion with an Func delegate? I have the following, which doesn't compile because the name of the Func isn't in scope... Func<long, long, List<long>, IEnumerable<long>> GeneratePrimesRecursively = (number, upperBound, primeFactors) => { if (upperBound > number) { return new List<long>(); } else { if (!primeFactors.Any(factor => number % factor == 0)) primeFactors.Add(number); return GeneratePrimesRecursively(++number, upperBound, primeFactors); // breaks here. } };

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• Mysql - Grouping the result based on a mathematical operation and SUM() function

  - by SpikETidE

  Hi all... I'm having the following two tables... Table : room_type type_id type_name no_of_rooms max_guests rate 1 Type 1 15 2 1254 2 Type 2 10 1 3025 Table : reservation reservation_id start_date end_date room_type booked_rooms 1 2010-04-12 2010-04-15 1 8 2 2010-04-12 2010-04-15 1 2 Now... I have this query SELECT type_id, type_name FROM room_type WHERE id NOT IN (SELECT room_type FROM reservation WHERE start_date >= '$start_date' AND end_date <= '$end_date') What the query does is it selects the rooms that are not booked between the start date and end date. Also, as you can see from the reservation table, we also have 'number of rooms booked between the two dates' factor also... I need to add this 'no.of booked rooms between the two dates' factor also in to the query... The query should return the type of rooms for which at least one room is free between the two dates. I worked out the logic but just can't represent it as a query....! How will you do this...? Thanks for your suggestions..!

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• Inline function and calling cost in C

  - by Eonil

  I'm making a vector/matrix library. (GCC, ARM NEON, iPhone) typedef struct{ float v[4]; } Vector; typedef struct{ Vector v[4]; } Matrix; I passed struct data as pointer to avoid performance degrade from data copying when calling function. So I thought designed function like this: void makeTranslation(const Vector* factor, Matrix* restrict result); But, if function is inline, is there any reason to pass values as pointer for performance? Do those variables copied too? How about register and caches? inline Matrix makeTranslation(Vector factor) __attribute__ ((always_inline)); How do you think about calling costs of each cases?

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• Using reshape + cast to aggregate over multiple columns

  - by DamonJW

  In R, I have a data frame with columns for Seat (factor), Party (factor) and Votes (numeric). I want to create a summary data frame with columns for Seat, Winning party, and Vote share. For example, from the data frame df <- data.frame(party=rep(c('Lab','C','LD'),times=4), votes=c(1,12,2,11,3,10,4,9,5,8,6,15), seat=rep(c('A','B','C','D'),each=3)) I want to get the output seat winner voteshare 1 A C 0.8000000 2 B Lab 0.4583333 3 C C 0.5000000 4 D LD 0.5172414 I can figure out how to achieve this. But I'm sure there must be a better way, probably a cunning one-liner using Hadley Wickham's reshape package. Any suggestions? For what it's worth, my solution uses a function from my package djwutils_2.10.zip and is invoked as follows. But there are all sorts of special cases it doesn't deal with, so I'd rather rely on someone else's code. aggregateList(df, by=list(seat=seat), FUN=list(winner=function(x) x$party[which.max(x$votes)], voteshare=function(x) max(x$votes)/sum(x$votes)))

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• Pass variable name to a function in r

  - by Misha

  Is it possible to pass just a variable name in a function call and have it utilised as such within the function?? pseudocode: q<-function(A){ b<-(w%in%A.2|w%in%A.7) factor(b,levels=c(F,T),labels=c("non-"A,A))} w<-c(0:10) e.2<-c(1,2) e.7<-c(6,7) what I´d like to do is q(e) and have returned non-e,e,e,non-e,non-e,e,e,non-e,non-e //M q<-function(A) { a2<-get(paste(a,".2",sep="")) a7<-get(paste(a,".7",sep="")) b<-(w%in%a2|%in%a7) factor(b,levels=c(F,T),labels=c(paste("non-",a,sep=""),a)) } q("e") Thx, M

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