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  • How do I fix dependency problems with the kernel in apt?

    - by Jon
    When trying to install new packages, either manually or with muon, I get these errors: jon@jon-desktop:~/Apps/mendeleydesktop-1.5-dev4-linux-x86_64/bin$ sudo apt-get install kupfer [sudo] password for jon: Reading package lists... Done Building dependency tree Reading state information... Done You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies: kupfer : Depends: python-keybinder but it is not going to be installed Recommends: python-wnck but it is not going to be installed linux-headers-generic : Depends: linux-headers-3.2.0-20-generic but it is not installable linux-image-generic : Depends: linux-image-3.2.0-20-generic but it is not installable E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). jon@jon-desktop:~/Apps/mendeleydesktop-1.5-dev4-linux-x86_64/bin$ sudo apt-get -f install Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following extra packages will be installed: linux-generic linux-headers-generic linux-image-generic The following packages will be upgraded: linux-generic linux-headers-generic linux-image-generic 3 upgraded, 0 newly installed, 0 to remove and 2 not upgraded. 3 not fully installed or removed. Need to get 0 B/6,658 B of archives. After this operation, 0 B of additional disk space will be used. Do you want to continue [Y/n]? dpkg: dependency problems prevent configuration of linux-image-generic: linux-image-generic depends on linux-image-3.2.0-20-generic; however: Package linux-image-3.2.0-20-generic is not installed. dpkg: error processing linux-image-generic (--configure): dependency problems - leaving unconfigured No apport report written because the error message indicates its a followup error from a previous failure. dpkg: dependency problems prevent configuration of linux-generic: linux-generic depends on linux-image-generic (= 3.2.0.20.22); however: Package linux-image-generic is not configured yet. dpkg: error processing linux-generic (--configure): dependency problems - leaving unconfigured No apport report written because the error message indicates its a followup error from a previous failure. dpkg: dependency problems prevent configuration of linux-headers-generic: linux-headers-generic depends on linux-headers-3.2.0-20-generic; however: Package linux-headers-3.2.0-20-generic is not installed. dpkg: error processing linux-headers-generic (--configure): dependency problems - leaving unconfigured No apport report written because the error message indicates its a followup error from a previous failure. Errors were encountered while processing: linux-image-generic linux-generic linux-headers-generic E: Sub-process /usr/bin/dpkg returned an error code (1) As indicated above, I ran sudo apt-get -f install but it still tells me there are dependency issues.

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  • JavaScript Class Patterns

    - by Liam McLennan
    To write object-oriented programs we need objects, and likely lots of them. JavaScript makes it easy to create objects: var liam = { name: "Liam", age: Number.MAX_VALUE }; But JavaScript does not provide an easy way to create similar objects. Most object-oriented languages include the idea of a class, which is a template for creating objects of the same type. From one class many similar objects can be instantiated. Many patterns have been proposed to address the absence of a class concept in JavaScript. This post will compare and contrast the most significant of them. Simple Constructor Functions Classes may be missing but JavaScript does support special constructor functions. By prefixing a call to a constructor function with the ‘new’ keyword we can tell the JavaScript runtime that we want the function to behave like a constructor and instantiate a new object containing the members defined by that function. Within a constructor function the ‘this’ keyword references the new object being created -  so a basic constructor function might be: function Person(name, age) { this.name = name; this.age = age; this.toString = function() { return this.name + " is " + age + " years old."; }; } var john = new Person("John Galt", 50); console.log(john.toString()); Note that by convention the name of a constructor function is always written in Pascal Case (the first letter of each word is capital). This is to distinguish between constructor functions and other functions. It is important that constructor functions be called with the ‘new’ keyword and that not constructor functions are not. There are two problems with the pattern constructor function pattern shown above: It makes inheritance difficult The toString() function is redefined for each new object created by the Person constructor. This is sub-optimal because the function should be shared between all of the instances of the Person type. Constructor Functions with a Prototype JavaScript functions have a special property called prototype. When an object is created by calling a JavaScript constructor all of the properties of the constructor’s prototype become available to the new object. In this way many Person objects can be created that can access the same prototype. An improved version of the above example can be written: function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { toString: function() { return this.name + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); In this version a single instance of the toString() function will now be shared between all Person objects. Private Members The short version is: there aren’t any. If a variable is defined, with the var keyword, within the constructor function then its scope is that function. Other functions defined within the constructor function will be able to access the private variable, but anything defined outside the constructor (such as functions on the prototype property) won’t have access to the private variable. Any variables defined on the constructor are automatically public. Some people solve this problem by prefixing properties with an underscore and then not calling those properties by convention. function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { _getName: function() { return this.name; }, toString: function() { return this._getName() + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); Note that the _getName() function is only private by convention – it is in fact a public function. Functional Object Construction Because of the weirdness involved in using constructor functions some JavaScript developers prefer to eschew them completely. They theorize that it is better to work with JavaScript’s functional nature than to try and force it to behave like a traditional class-oriented language. When using the functional approach objects are created by returning them from a factory function. An excellent side effect of this pattern is that variables defined with the factory function are accessible to the new object (due to closure) but are inaccessible from anywhere else. The Person example implemented using the functional object construction pattern is: var personFactory = function(name, age) { var privateVar = 7; return { toString: function() { return name + " is " + age * privateVar / privateVar + " years old."; } }; }; var john2 = personFactory("John Lennon", 40); console.log(john2.toString()); Note that the ‘new’ keyword is not used for this pattern, and that the toString() function has access to the name, age and privateVar variables because of closure. This pattern can be extended to provide inheritance and, unlike the constructor function pattern, it supports private variables. However, when working with JavaScript code bases you will find that the constructor function is more common – probably because it is a better approximation of mainstream class oriented languages like C# and Java. Inheritance Both of the above patterns can support inheritance but for now, favour composition over inheritance. Summary When JavaScript code exceeds simple browser automation object orientation can provide a powerful paradigm for controlling complexity. Both of the patterns presented in this article work – the choice is a matter of style. Only one question still remains; who is John Galt?

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  • JavaScript Class Patterns

    - by Liam McLennan
    To write object-oriented programs we need objects, and likely lots of them. JavaScript makes it easy to create objects: var liam = { name: "Liam", age: Number.MAX_VALUE }; But JavaScript does not provide an easy way to create similar objects. Most object-oriented languages include the idea of a class, which is a template for creating objects of the same type. From one class many similar objects can be instantiated. Many patterns have been proposed to address the absence of a class concept in JavaScript. This post will compare and contrast the most significant of them. Simple Constructor Functions Classes may be missing but JavaScript does support special constructor functions. By prefixing a call to a constructor function with the ‘new’ keyword we can tell the JavaScript runtime that we want the function to behave like a constructor and instantiate a new object containing the members defined by that function. Within a constructor function the ‘this’ keyword references the new object being created -  so a basic constructor function might be: function Person(name, age) { this.name = name; this.age = age; this.toString = function() { return this.name + " is " + age + " years old."; }; } var john = new Person("John Galt", 50); console.log(john.toString()); Note that by convention the name of a constructor function is always written in Pascal Case (the first letter of each word is capital). This is to distinguish between constructor functions and other functions. It is important that constructor functions be called with the ‘new’ keyword and that not constructor functions are not. There are two problems with the pattern constructor function pattern shown above: It makes inheritance difficult The toString() function is redefined for each new object created by the Person constructor. This is sub-optimal because the function should be shared between all of the instances of the Person type. Constructor Functions with a Prototype JavaScript functions have a special property called prototype. When an object is created by calling a JavaScript constructor all of the properties of the constructor’s prototype become available to the new object. In this way many Person objects can be created that can access the same prototype. An improved version of the above example can be written: function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { toString: function() { return this.name + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); In this version a single instance of the toString() function will now be shared between all Person objects. Private Members The short version is: there aren’t any. If a variable is defined, with the var keyword, within the constructor function then its scope is that function. Other functions defined within the constructor function will be able to access the private variable, but anything defined outside the constructor (such as functions on the prototype property) won’t have access to the private variable. Any variables defined on the constructor are automatically public. Some people solve this problem by prefixing properties with an underscore and then not calling those properties by convention. function Person(name, age) { this.name = name; this.age = age; } Person.prototype = { _getName: function() { return this.name; }, toString: function() { return this._getName() + " is " + this.age + " years old."; } }; var john = new Person("John Galt", 50); console.log(john.toString()); Note that the _getName() function is only private by convention – it is in fact a public function. Functional Object Construction Because of the weirdness involved in using constructor functions some JavaScript developers prefer to eschew them completely. They theorize that it is better to work with JavaScript’s functional nature than to try and force it to behave like a traditional class-oriented language. When using the functional approach objects are created by returning them from a factory function. An excellent side effect of this pattern is that variables defined with the factory function are accessible to the new object (due to closure) but are inaccessible from anywhere else. The Person example implemented using the functional object construction pattern is: var john = new Person("John Galt", 50); console.log(john.toString()); var personFactory = function(name, age) { var privateVar = 7; return { toString: function() { return name + " is " + age * privateVar / privateVar + " years old."; } }; }; var john2 = personFactory("John Lennon", 40); console.log(john2.toString()); Note that the ‘new’ keyword is not used for this pattern, and that the toString() function has access to the name, age and privateVar variables because of closure. This pattern can be extended to provide inheritance and, unlike the constructor function pattern, it supports private variables. However, when working with JavaScript code bases you will find that the constructor function is more common – probably because it is a better approximation of mainstream class oriented languages like C# and Java. Inheritance Both of the above patterns can support inheritance but for now, favour composition over inheritance. Summary When JavaScript code exceeds simple browser automation object orientation can provide a powerful paradigm for controlling complexity. Both of the patterns presented in this article work – the choice is a matter of style. Only one question still remains; who is John Galt?

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  • Going back (downgrade) from LibreOffice 4 to LibreOffice 3

    - by MMA
    EDIT This question is not at all a duplicate of How to downgrade from LibreOffice 4.0 to 3.6? The above mentioned question talks about downgrading from a specific version of LibreOffice, namely from 4.0 to 3.6. The solutions mentioned are not the ones I am looking for. They will work but I wanted a general solution without using PPA or downloading .deb files for from a higher version to a lower version. The above solutions suggest either downloading .deb files for LibreOffice 3.6 or adding repository for it. Furthermore, some of the answers put out-of-proportion~(applicable for the solution, however) stress on use of synaptic, not general command-line-solution. That made me wonder, at this very moment, if I take a fresh computer, and install Ubuntu 12.04, LibreOffice installation will work without a hitch. Then why I can not install LibreOffice in my 12.04 machine today from simple command line? This answer to my question, clarified everything. I need to use ppa-purge so that this resets all packages from a PPA to the standard versions released for my distribution. Basically it is like a way to restore my system back to the way it was before my installed packages from a PPA. This article further elaborates the idea. The above mentioned answer worked perfectly for me. Actually, this was an education for me since it taught me how do downgrade a package that was added via PPA. I had upgraded from LibreOffice 3 to LibreOffice 4 using the PPA. Now since I found that LibreOffice 4 has some issues, including handling my native language, I want to move back to LibreOffice 3. In order to accomplish this, I removed the LibreOffice config directory from my home and then purged LibreOffice from my machine. sudo apt-get purge libreoffice-* Then I removed the relevant PPA's using the sudo apt-add-repository --remove command. And then ran sudo apt-get update. Now, when I try to install LibreOffice using the command sudo apt-get install libreoffice I get an avalanche of output about unmet dependencies, something like, The following packages have unmet dependencies: libreoffice : Depends: libreoffice-core (= 1:3.5.7-0ubuntu4) but it is not going to be installed (snipped) If I dig the issue further, by using the command, sudo apt-get install libreoffice-core I get The following packages have unmet dependencies: libreoffice-core : Depends: libreoffice-common (> 1:3.5.7) but it is not going to be installed Depends: libexttextcat0 (>= 2.2-8) but it is not going to be installed Depends: ure (>= 3.5.7~) but it is not going to be installed E: Unable to correct problems, you have held broken packages. Could you please tell me how do I install LibreOffice 3 in my machine? I am using Ubuntu 12.04 LTS.

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  • Raspberry Pi Micro Arcade Machine Packs Gaming into a Tiny Case

    - by Jason Fitzpatrick
    While it might be more practical to build a full-size MAME cabinet for your retro gaming enjoyment, this tiny and fully functional build is a great example of the fun you can have tinkering with electronics. Read on to see a video of it in action. Courtesy of tinker and electronics hobbyist Sprite over at SpriteMods, the build is clever in so many ways. The heart of the device is a Raspberry Pi board, it includes a tiny video marque that displays the logo of whatever game you’re playing, and the micro-scaled joystick and buttons are fully functional. Hit up the link below for his detailed build guide including his custom built cellphone-battery based charging system. Raspberry Pi Micro Arcade Machine [via Hack A Day] How To Use USB Drives With the Nexus 7 and Other Android Devices Why Does 64-Bit Windows Need a Separate “Program Files (x86)” Folder? Why Your Android Phone Isn’t Getting Operating System Updates and What You Can Do About It

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  • PRUEBAS DE ESPECIALIZACION 2013/2014

    - by agallego
    Consigue  tu Certificado de Especialista Oracle  de forma GRATUITA , 27 y 28 de Noviembre de 2013  Ahora puedes realizar los exámenes de implementación de las especializaciones de Oracle y convertirte en especialista. 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11g Accounts Receivable Certified Implementation Specialist(1Z0-506) Oracle Fusion Financials 11g General Ledger Certified Implementation Specialist (1Z0-508) Oracle Fusion Distributed Order Orchestration 11g Essentials (1Z0-469) Oracle Documaker Standard Edition 12 Implementation Essentials (1Z0-570) Oracle Hyperion Planning 11 Essentials (1Z0-533) Oracle Hyperion Financial Management 11 Essentials (1Z0-532) Oracle Business Intelligence Foundation Suite 11g Essentials (1Z0-591) Oracle Essbase 11 Essentials (1Z0-531) Oracle GoldenGate 10 Essentials (1Z0-539) Oracle GoldenGate 11g Certified Implementation Exam Essentials Oracle Business Intelligence Applications 7.9.6 for CRM Essentials (1Z0-524) Oracle Business Intelligence Applications 7.9.6 for ERP Essentials (1Z0-525) Oracle Oracle Endeca Information Discovery 2.3 Certified Implementation Specialist (1Z0-461) Oracle SOA Suite 11g Essentials (1Z0-478) Oracle Service-Oriented Architecture Certified Implementation Specialist (1Z0-451) 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System Administration (1Z0-403) Oracle Linux Fundamentals (1Z0-402) Oracle Linux 6 Certified Implementation Specialist (1Z0-460) Oracle VM 3 for x86 Certified Implementation Specialist (1Z0-590) Oracle Enterprise Manager 11g Essentials  (1Z0-530 ) Oracle Enterprise Manager 12c Essentials (1Z0-457) SPARC T4-Based Server Installation Essentials (1Z0-597) 1Z0-821 Oracle Solaris 11 System Administration 1Z0-822 Oracle Solaris 11 Advanced System Administration Oracle Solaris 11 Installation and Configuration Essentials (1Z0-580) StorageTek Tape Libraries Certified Implementation Specialist(1Z0-546) Sun ZFS Storage Appliance Certified Implementation Specialist The Primavera P6 Enterprise Project Portfolio Management 8 Essentials (1Z0-567) The Primavera Portfolio Management Essentials (1Z0-544) Primavera Contract Management 14 Certified Implementation Specialist (1Z0-582) Oracle Utilities Customer Care and Billing 2 Certified Implementation Specialist (1Z0-562) Oracle Policy Automation 10 Certified Implementation Specialist (1Z0-534) Oracle User Productivity Kit 11 Certified Implementation Specialist (1Z0-566) Oracle User Productivity Kit 11 Technical Certified Implementation Specialist (1Z0-583) Oracle Retail Demand Forecasting 13.3 Functional Implementer Certified Implementation Specialist (1Z0-463) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Merchandising System 13.2 Foundation Functional Implementer Certified Implementation Specialist (1Z0-453) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Point-of-Service Technical Certified Implementation Specialist (1Z0-572) Oracle Retail Price Management 13.2 Functional Implementer Certified Implementation Specialist (1Z0-454) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Store Inventory Management 13.2 Functional Implementer Certified Implementation Specialist (1Z0-455) Oracle Flexcube Universal Banking 11 Technical Implementation Essentials (1Z0-579) Oracle FlexCube Universal Banking 11 Basic Implementation Essentials (1Z0-561) Oracle Flexcube Universal Banking 11 Technical Implementation Essentials (1Z0-579) Oracle FLEXCUBE Direct Banking 6 Implementation Essentials (1Z0-594)   Puedes consultar la información acerca de los examenes en cada uno de los enlaces. Para prepararte los examenes sigue la Guia de estudio que encontrarás en la página de cada examen. Requisitos: ser  Partner Gold, Platinum o Diamond de Oracle y tener un usuario de Oracle Pearson Vue.  ¿Cuándo?: 27 y 28 de noviembre  a las (9:00, 12:00, 16:00)  ¿Dónde?: Core Networks, C.E.Parque Norte, Edificio Olmo, Planta 1 Serrano Galvache 56 | 28033, Madrid Para inscribirte: Create una cuenta en Pearson Vue (www.pearsonvue.com/oracle). Para Registrarte aquí. Para más información sobre el programa de especializaciones, haz clic aquí. No pierdas esta oportunidad e inscríbete hoy.  Para cualquier duda contactar con [email protected]. Ana María Gallego Partner Enablement Manager Spain and Portugal        

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • Install NPM Packages Automatically for Node.js on Windows Azure Web Site

    - by Shaun
    In one of my previous post I described and demonstrated how to use NPM packages in Node.js and Windows Azure Web Site (WAWS). In that post I used NPM command to install packages, and then use Git for Windows to commit my changes and sync them to WAWS git repository. Then WAWS will trigger a new deployment to host my Node.js application. Someone may notice that, a NPM package may contains many files and could be a little bit huge. For example, the “azure” package, which is the Windows Azure SDK for Node.js, is about 6MB. Another popular package “express”, which is a rich MVC framework for Node.js, is about 1MB. When I firstly push my codes to Windows Azure, all of them must be uploaded to the cloud. Is that possible to let Windows Azure download and install these packages for us? In this post, I will introduce how to make WAWS install all required packages for us when deploying.   Let’s Start with Demo Demo is most straightforward. Let’s create a new WAWS and clone it to my local disk. Drag the folder into Git for Windows so that it can help us commit and push. Please refer to this post if you are not familiar with how to use Windows Azure Web Site, Git deployment, git clone and Git for Windows. And then open a command windows and install a package in our code folder. Let’s say I want to install “express”. And then created a new Node.js file named “server.js” and pasted the code as below. 1: var express = require("express"); 2: var app = express(); 3: 4: app.get("/", function(req, res) { 5: res.send("Hello Node.js and Express."); 6: }); 7: 8: console.log("Web application opened."); 9: app.listen(process.env.PORT); If we switch to Git for Windows right now we will find that it detected the changes we made, which includes the “server.js” and all files under “node_modules” folder. What we need to upload should only be our source code, but the huge package files also have to be uploaded as well. Now I will show you how to exclude them and let Windows Azure install the package on the cloud. First we need to add a special file named “.gitignore”. It seems cannot be done directly from the file explorer since this file only contains extension name. So we need to do it from command line. Navigate to the local repository folder and execute the command below to create an empty file named “.gitignore”. If the command windows asked for input just press Enter. 1: echo > .gitignore Now open this file and copy the content below and save. 1: node_modules Now if we switch to Git for Windows we will found that the packages under the “node_modules” were not in the change list. So now if we commit and push, the “express” packages will not be uploaded to Windows Azure. Second, let’s tell Windows Azure which packages it needs to install when deploying. Create another file named “package.json” and copy the content below into that file and save. 1: { 2: "name": "npmdemo", 3: "version": "1.0.0", 4: "dependencies": { 5: "express": "*" 6: } 7: } Now back to Git for Windows, commit our changes and push it to WAWS. Then let’s open the WAWS in developer portal, we will see that there’s a new deployment finished. Click the arrow right side of this deployment we can see how WAWS handle this deployment. Especially we can find WAWS executed NPM. And if we opened the log we can review what command WAWS executed to install the packages and the installation output messages. As you can see WAWS installed “express” for me from the cloud side, so that I don’t need to upload the whole bunch of the package to Azure. Open this website and we can see the result, which proved the “express” had been installed successfully.   What’s Happened Under the Hood Now let’s explain a bit on what the “.gitignore” and “package.json” mean. The “.gitignore” is an ignore configuration file for git repository. All files and folders listed in the “.gitignore” will be skipped from git push. In the example below I copied “node_modules” into this file in my local repository. This means,  do not track and upload all files under the “node_modules” folder. So by using “.gitignore” I skipped all packages from uploading to Windows Azure. “.gitignore” can contain files, folders. It can also contain the files and folders that we do NOT want to ignore. In the next section we will see how to use the un-ignore syntax to make the SQL package included. The “package.json” file is the package definition file for Node.js application. We can define the application name, version, description, author, etc. information in it in JSON format. And we can also put the dependent packages as well, to indicate which packages this Node.js application is needed. In WAWS, name and version is necessary. And when a deployment happened, WAWS will look into this file, find the dependent packages, execute the NPM command to install them one by one. So in the demo above I copied “express” into this file so that WAWS will install it for me automatically. I updated the dependencies section of the “package.json” file manually. But this can be done partially automatically. If we have a valid “package.json” in our local repository, then when we are going to install some packages we can specify “--save” parameter in “npm install” command, so that NPM will help us upgrade the dependencies part. For example, when I wanted to install “azure” package I should execute the command as below. Note that I added “--save” with the command. 1: npm install azure --save Once it finished my “package.json” will be updated automatically. Each dependent packages will be presented here. The JSON key is the package name while the value is the version range. Below is a brief list of the version range format. For more information about the “package.json” please refer here. Format Description Example version Must match the version exactly. "azure": "0.6.7" >=version Must be equal or great than the version. "azure": ">0.6.0" 1.2.x The version number must start with the supplied digits, but any digit may be used in place of the x. "azure": "0.6.x" ~version The version must be at least as high as the range, and it must be less than the next major revision above the range. "azure": "~0.6.7" * Matches any version. "azure": "*" And WAWS will install the proper version of the packages based on what you defined here. The process of WAWS git deployment and NPM installation would be like this.   But Some Packages… As we know, when we specified the dependencies in “package.json” WAWS will download and install them on the cloud. For most of packages it works very well. But there are some special packages may not work. This means, if the package installation needs some special environment restraints it might be failed. For example, the SQL Server Driver for Node.js package needs “node-gyp”, Python and C++ 2010 installed on the target machine during the NPM installation. If we just put the “msnodesql” in “package.json” file and push it to WAWS, the deployment will be failed since there’s no “node-gyp”, Python and C++ 2010 in the WAWS virtual machine. For example, the “server.js” file. 1: var express = require("express"); 2: var app = express(); 3: 4: app.get("/", function(req, res) { 5: res.send("Hello Node.js and Express."); 6: }); 7:  8: var sql = require("msnodesql"); 9: var connectionString = "Driver={SQL Server Native Client 10.0};Server=tcp:tqy4c0isfr.database.windows.net,1433;Database=msteched2012;Uid=shaunxu@tqy4c0isfr;Pwd=P@ssw0rd123;Encrypt=yes;Connection Timeout=30;"; 10: app.get("/sql", function (req, res) { 11: sql.open(connectionString, function (err, conn) { 12: if (err) { 13: console.log(err); 14: res.send(500, "Cannot open connection."); 15: } 16: else { 17: conn.queryRaw("SELECT * FROM [Resource]", function (err, results) { 18: if (err) { 19: console.log(err); 20: res.send(500, "Cannot retrieve records."); 21: } 22: else { 23: res.json(results); 24: } 25: }); 26: } 27: }); 28: }); 29: 30: console.log("Web application opened."); 31: app.listen(process.env.PORT); The “package.json” file. 1: { 2: "name": "npmdemo", 3: "version": "1.0.0", 4: "dependencies": { 5: "express": "*", 6: "msnodesql": "*" 7: } 8: } And it failed to deploy to WAWS. From the NPM log we can see it’s because “msnodesql” cannot be installed on WAWS. The solution is, in “.gitignore” file we should ignore all packages except the “msnodesql”, and upload the package by ourselves. This can be done by use the content as below. We firstly un-ignored the “node_modules” folder. And then we ignored all sub folders but need git to check each sub folders. And then we un-ignore one of the sub folders named “msnodesql” which is the SQL Server Node.js Driver. 1: !node_modules/ 2:  3: node_modules/* 4: !node_modules/msnodesql For more information about the syntax of “.gitignore” please refer to this thread. Now if we go to Git for Windows we will find the “msnodesql” was included in the uncommitted set while “express” was not. I also need remove the dependency of “msnodesql” from “package.json”. Commit and push to WAWS. Now we can see the deployment successfully done. And then we can use the Windows Azure SQL Database from our Node.js application through the “msnodesql” package we uploaded.   Summary In this post I demonstrated how to leverage the deployment process of Windows Azure Web Site to install NPM packages during the publish action. With the “.gitignore” and “package.json” file we can ignore the dependent packages from our Node.js and let Windows Azure Web Site download and install them while deployed. For some special packages that cannot be installed by Windows Azure Web Site, such as “msnodesql”, we can put them into the publish payload as well. With the combination of Windows Azure Web Site, Node.js and NPM it makes even more easy and quick for us to develop and deploy our Node.js application to the cloud.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • Is there a viable alternative to the agile development methodology? [closed]

    - by Eric Wilson
    The two predominant software-development methodologies are waterfall and agile. When discussing these two, there is often much focus on the particular practices that distinguish them (pair programming, TDD, etc. vs. functional spec, big up-front design, etc.) But the real differences are far deeper, in that these practices come from a philosophy. Waterfall says: Change is costly, so it should be minimized. Agile says: Change is inevitable, so make change cheap. My question is, regardless of what you think of TDD or functional specs, is the waterfall development methodology really viable? Does anyone really think that minimizing change in software is a viable option for those that desire to deliver valuable software? Or is the question really about what sort of practices work best in our situations to manage the inevitable change?

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  • Additional useful skill?

    - by Sergey
    Almost each language has some additional technology or skill or whatever which can work in a pair with it but still be something fresh. For example, Java + Flex. It's a good pair - those who learn Java and want something both useful and new may try Flex. What are "pairs" for the most popular languages(Java, C#, C++, etc.)? PS: Most people advise learning functional programming as an additional skill but this is very fuzzy. They talk about such abstract things as wide programming perspective and other things, but you can hardly say whether these functional skills will be really needed. Yeah, maybe some basics of it can be useful, but serious learning of LISP seems not perspective.

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  • ASP.NET Web Forms Extensibility: Handler Factories

    - by Ricardo Peres
    An handler factory is the class that implements IHttpHandlerFactory and is responsible for instantiating an handler (IHttpHandler) that will process the current request. This is true for all kinds of web requests, whether they are for ASPX pages, ASMX/SVC web services, ASHX/AXD handlers, or any other kind of file. Also used for restricting access for certain file types, such as Config, Csproj, etc. Handler factories are registered on the global Web.config file, normally located at %WINDIR%\Microsoft.NET\Framework<x64>\vXXXX\Config for a given path and request type (GET, POST, HEAD, etc). This goes on section <httpHandlers>. You would create a custom handler factory for a number of reasons, let me list just two: A centralized place for using dependency injection; Also a centralized place for invoking custom methods or performing some kind of validation on all pages. Let’s see an example using Unity for injecting dependencies into a page, suppose we have this on Global.asax.cs: 1: public class Global : HttpApplication 2: { 3: internal static readonly IUnityContainer Unity = new UnityContainer(); 4: 5: void Application_Start(Object sender, EventArgs e) 6: { 7: Unity.RegisterType<IFunctionality, ConcreteFunctionality>(); 8: } 9: } We instantiate Unity and register a concrete implementation for an interface, this could/should probably go in the Web.config file. Forget about its actual definition, it’s not important. Then, we create a custom handler factory: 1: public class UnityPageHandlerFactory : PageHandlerFactory 2: { 3: public override IHttpHandler GetHandler(HttpContext context, String requestType, String virtualPath, String path) 4: { 5: IHttpHandler handler = base.GetHandler(context, requestType, virtualPath, path); 6: 7: //one scenario: inject dependencies 8: Global.Unity.BuildUp(handler.GetType(), handler, String.Empty); 9:  10: return (handler); 11: } 12: } It inherits from PageHandlerFactory, which is .NET’s included factory for building regular ASPX pages. We override the GetHandler method and issue a call to the BuildUp method, which will inject required dependencies, if any exist. An example page with dependencies might be: 1: public class SomePage : Page 2: { 3: [Dependency] 4: public IFunctionality Functionality 5: { 6: get; 7: set; 8: } 9: } Notice the DependencyAttribute, it is used by Unity to identify properties that require dependency injection. When BuildUp is called, the Functionality property (or any other properties with the DependencyAttribute attribute) will receive the concrete implementation associated with it’s type, as registered on Unity. Another example, checking a page for authorization. Let’s define an interface first: 1: public interface IRestricted 2: { 3: Boolean Check(HttpContext ctx); 4: } An a page implementing that interface: 1: public class RestrictedPage : Page, IRestricted 2: { 3: public Boolean Check(HttpContext ctx) 4: { 5: //check the context and return a value 6: return ...; 7: } 8: } For this, we would use an handler factory such as this: 1: public class RestrictedPageHandlerFactory : PageHandlerFactory 2: { 3: private static readonly IHttpHandler forbidden = new UnauthorizedHandler(); 4:  5: public override IHttpHandler GetHandler(HttpContext context, String requestType, String virtualPath, String path) 6: { 7: IHttpHandler handler = base.GetHandler(context, requestType, virtualPath, path); 8: 9: if (handler is IRestricted) 10: { 11: if ((handler as IRestricted).Check(context) == false) 12: { 13: return (forbidden); 14: } 15: } 16:  17: return (handler); 18: } 19: } 20:  21: public class UnauthorizedHandler : IHttpHandler 22: { 23: #region IHttpHandler Members 24:  25: public Boolean IsReusable 26: { 27: get { return (true); } 28: } 29:  30: public void ProcessRequest(HttpContext context) 31: { 32: context.Response.StatusCode = (Int32) HttpStatusCode.Unauthorized; 33: context.Response.ContentType = "text/plain"; 34: context.Response.Write(context.Response.Status); 35: context.Response.Flush(); 36: context.Response.Close(); 37: context.ApplicationInstance.CompleteRequest(); 38: } 39:  40: #endregion 41: } The UnauthorizedHandler is an example of an IHttpHandler that merely returns an error code to the client, but does not cause redirection to the login page, it is included merely as an example. One thing we must keep in mind is, there can be only one handler factory registered for a given path/request type (verb) tuple. A typical registration would be: 1: <httpHandlers> 2: <remove path="*.aspx" verb="*"/> 3: <add path="*.aspx" verb="*" type="MyNamespace.MyHandlerFactory, MyAssembly"/> 4: </httpHandlers> First we remove the previous registration for ASPX files, and then we register our own. And that’s it. A very useful mechanism which I use lots of times.

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  • Skyrim Nexus Mods on Xbox 360 by use of dawnguard?

    - by user17895
    i think it's possible i opened up the dawnguard marketplace content and it consists 3 files: dawnguard.bsa < mod dawnguard.esp <- mod installing file. and spa.bin <-dont know where this is for. and it has been confirmed you can use the top 2 files on pc for a not fully functional dawnguard (barely functional to be exact) and if we could just replace or add a few other bsa and esp files to this marketplace content we could get mods up and running on xbox altough i need confirmation on this. I also have no clue where the spa.bin file for is, i need to examine it some further. Further this is adding a few non-distributed Files to marketplace content and wont get you booted from XBL. Also if anyone wants to examine these files for further information i will gladly share them with you. if you have any information or answers please email me at [email protected] thx

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  • offline installation of video plugins

    - by israel
    Please help I installed Ubuntu11.10 32bit in an IBMTP41 notebook, that is NOT connected to the internet, tried running video files such as .mp4,.flv,.avi,.Xvid, in Movie Player but it asks for plugins, see the list below mp4: MPEG-4 AAC decoder; H.264 decoder flv: SorensonSpark Video decoder; MPEG-1 Layer3(MP3) decoder avi: MPEG-1 Layer3 (MP3) decoder; MPEG video decoder XviD: AC-3 (ATSC A/52) decoder; XviD MPEG-4 decoder how do i donwload (from another computer with internet) and install all these plugins and their dependencies. I also want to install the VLC Media player and its dependencies I assume this is related to the restricted codecs and I have tried donwnload/install them with no success. I'll appreciate all ur help

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  • How do I install a 32-bit Java runtime on an amd64 server with multiarch?

    - by kbyrd
    I'm a long time Ubuntu user, but I haven't been following the community for the last several versions. I just did fresh default minimal amd64 install of Oneiric and I need a 32-bit JRE for a particular application. I last did this on 10.10, so I am not familiar with the multiarch stuff. Instead of installing ia32-libs, I read a bit and tried: aptitude install default-jre-headless:i386 But that just got me: The following NEW packages will be installed: default-jre-headless{b} openjdk-6-jre-headless{ab} The following packages are RECOMMENDED but will NOT be installed: icedtea-6-jre-cacao icedtea-6-jre-jamvm 0 packages upgraded, 2 newly installed, 0 to remove and 0 not upgraded. Need to get 27.3 MB of archives. After unpacking 82.1 MB will be used. The following packages have unmet dependencies: default-jre-headless: Depends: java-common which is a virtual package. openjdk-6-jre-headless: Depends: openjdk-6-jre-lib (>= 6b23~pre10-0ubuntu5) which is a virtual package. Depends: ca-certificates-java which is a virtual package. Depends: tzdata-java which is a virtual package. Depends: java-common (>= 0.28) which is a virtual package. Depends: libcups2 but it is not going to be installed. Depends: liblcms1 but it is not going to be installed. Depends: libjpeg62 but it is not going to be installed. Depends: libnss3-1d (>= 3.12.9+ckbi-1.82-0ubuntu4) but it is not going to be installed. Depends: libc6 (>= 2.11) but it is not going to be installed. Depends: libfreetype6 (>= 2.2.1) but it is not going to be installed. Depends: libgcc1 (>= 1:4.1.1) but it is not going to be installed. Depends: libstdc++6 (>= 4.1.1) but it is not going to be installed. Depends: zlib1g (>= 1:1.1.4) but it is not going to be installed. The following actions will resolve these dependencies: Keep the following packages at their current version: 1) default-jre-headless [Not Installed] 2) openjdk-6-jre-headless [Not Installed] Accept this solution? [Y/n/q/?] q Is aptitude not installing the 32-bit versions of the dependencies? What is the right way to do this? I'll likely want both a 64-bit and a 32-bit JRE if that matters.

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  • Mysql-server-5.5 broken after update

    - by WalrusTusks
    Using Ubuntu 12.04, desktop, I had LAMP installed on my computer, and was using it as a server. However, after doing the upgrades one day, apt-get throws an error that mysql-server can't be configured, as it depends on another package: jay@rumbles:~$ sudo apt-get dist-upgrade Reading package lists... Done Building dependency tree Reading state information... Done You might want to run 'apt-get -f install' to correct these. The following packages have unmet dependencies: mysql-server-5.5 : Depends: mysql-server-core-5.5 (= 5.5.22-0ubuntu1) but 5.5.24-0ubuntu0.12.04.1 is installed E: Unmet dependencies. Try using -f ` jay@rumbles:~$ sudo apt-get install -f Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following extra packages will be installed: mysql-server-5.5 Suggested packages: tinyca mailx The following packages will be upgraded: mysql-server-5.5 1 upgraded, 0 newly installed, 0 to remove and 35 not upgraded. 2 not fully installed or removed. Need to get 0 B/8,821 kB of archives. After this operation, 2,048 B of additional disk space will be used. Do you want to continue [Y/n]? y dpkg: dependency problems prevent configuration of mysql-server-5.5: mysql-server-5.5 depends on mysql-server-core-5.5 (= 5.5.22-0ubuntu1); however: Version of mysql-server-core-5.5 on system is 5.5.24-0ubuntu0.12.04.1. dpkg: error processing mysql-server-5.5 (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of mysql-server: mysql-server depends on mysql-server-5.5; however: No apport report written because the error message indicates its a followup error from a previous failure. No apport report written because the error message indicates its a followup error from a previous failure. Package mysql-server-5.5 is not configured yet. dpkg: error processing mysql-server (--configure): dependency problems - leaving unconfigured Errors were encountered while processing: mysql-server-5.5 mysql-server E: Sub-process /usr/bin/dpkg returned an error code (1) How can I fix this?

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  • ArchBeat Link-o-Rama Top 10 for November 1, 2012

    - by Bob Rhubart
    Hurricane Sandy Edition Power outages in the Cleveland area made it impossible to publish posts on Tuesday and Wednesday. In my neighborhood most are still without power. The sound of howling winds that dominated on Monday and Tuesday has been replaced by the sound of of portable generators. My internet connection was restored only after AT&T U-Verse crewmen hooked up a portable generator to power the relay station up the street. Bear in mind that Cleveland is 500 miles from the Atlantic coast. Mobile Development Platform Strategy Chart: ADF Mobile, WebCenter Sites, Portal, Content and Social "Unlike desktop web focused efforts, the world of mobile has undergone change at a feverish pace," says social enterprise expert John Brunswick. His extensive post charts various resources that will help you keep up. ADF Essentials - The Bare Necessities | Floyd Teter The experiment is over... And now Oracle ACE Director Floyd Teter shares his impressions after spending some time with Oracle ADF Essentials, the free version of Oracle ADF. Expanding the Oracle Enterprise Repository with functional documentation Capgemini middleware specialist Marc Kuijpers shares information on how Oracle Enterprise Repository can be configured "to contain functional assets, i.e. functional designs, use cases and a logical data model" to aid in SOA governance efforts. A review of Oracle SOA Suite 11g Administrator’s Handbook | RedStack "More so than any other single piece of content that I have seen on the topic, it provides the information that a SOA administrator needs to know in order to successfully configure, manage, monitor, troubleshoot and backup an Oracle SOA environment." So says Oracle Fusion Middleware A-Team solution architect Mark Nelson of Oracle SOA Suite 11g Administrator’s Handbook, by Ahmed Aboulnaga and Arun Pareek. Eating our own dog food – Oracle’s internal deployment of Oracle IDM Oracle Fusion Middleware A-Team member Brian Eidelman recommends the recent podcast on Oracle’s internal deployment of Oracle OAM and OID. "This was a big project that involved migrating a bunch of critical, high volume applications to leverage OAM and OID," says Eidelman. "So I suggest you tune in to see and hear more about how we deploy our own software." Thought for the Day "Anyone who says they're not afraid at the time of a hurricane is either a fool or a liar, or a little bit of both." — Anderson Cooper Source: BrainyQuote

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  • APT wedged by kernel version mismatch

    - by Leopd
    Apt is seemingly unable to do anything useful for me, repeatedly giving messages of this form: dpkg: dependency problems prevent configuration of linux-server: linux-server depends on linux-image-server (= 3.2.0.37.44); however: Version of linux-image-server on system is 3.2.0.37.45. linux-server depends on linux-headers-server (= 3.2.0.37.44); however: Version of linux-headers-server on system is 3.2.0.37.45. dpkg: error processing linux-server (--configure): dependency problems - leaving unconfigured This is basically the same problem as I cannot install any package (linux-image-server, linux-server dependencies errors) which got closed Duplicate to an answer that is totally useless for this situation. None of the advice in that very generic answer about dependencies helps. Explicitly: sudo apt-get clean sudo apt-get autoclean sudo apt-get update all have no not effect. While sudo apt-get -f install sudo dpkg --configure -a sudo apt-get -u dist-upgrade sudo apt-get -o Debug::pkgProblemResolver=yes dist-upgrade all give some form of the error message above.

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  • How to incorporate existing open source software from a licensing perspective?

    - by Matt
    I'm working on software that uses the following libraries: Biopython SciPy NumPy All of the above have licenses similar to MIT or BSD. Three scenarios: First, if I don't redistribute those dependencies, and only my code, then all I need is my own copyright and license (planing on using the MIT License) for my code. Correct? What if I use py2exe or py2app to create a binary executable to distribute so as to make it easy for people to run the application without needing to install python and all the dependencies. Of course this also means that my binary file(s) contains python itself (along with any other packages I might have performed a pip install xyz). What if I bundle Biopython, SciPy, and NumPy binaries in my package? In the latter two cases, what do I need to do to comply with copyright laws.

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  • Ubuntu on Pandaboard giving me troubles

    - by Jeroen Jacobs
    I'm trying to install the OMAP4 extras for ubuntu on my pandaboard. For some reason, a few packages can't seem to be agree with eachother. This what I did so far: installed on Ubuntu 11.10 on sd card Powered on Pandaboard and let it finish it's initial install Did an "apt-get update" and "apt-get upgrade", to install updates So far, everything went fine, and I was quite happy with my Pandaboard, but then I made the mistake of typing this: apt-get install ubuntu-imap4-extras At first, everything seemed ok, and it started downloading and installing. But then after a while it just crashed. I tried it again but then it gave me this: Reading package lists... Done Building dependency tree Reading state information... Done ubuntu-omap4-extras is already the newest version. You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies: gstreamer0.10-openmax : Depends: gstreamer0.10-plugins-bad but it is not going to be installed gstreamer0.10-plugin-ducati : Depends: gstreamer0.10-plugins-bad but it is not going to be installed ubuntu-omap4-extras-multimedia : Depends: gstreamer0.10-plugins-bad (>= 0.10.22-2ubuntu4+ti1.5) but it is not going to be installed E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). So I tried to the suggestion: apt-get -f install: Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following extra packages will be installed: gstreamer0.10-plugins-bad The following NEW packages will be installed: gstreamer0.10-plugins-bad 0 upgraded, 1 newly installed, 0 to remove and 4 not upgraded. 88 not fully installed or removed. Need to get 0 B/1,794 kB of archives. After this operation, 4,571 kB of additional disk space will be used. Do you want to continue [Y/n]? y (Reading database ... 143575 files and directories currently installed.) Unpacking gstreamer0.10-plugins-bad (from .../gstreamer0.10-plugins bad_0.10.22-2ubuntu4+ti1.5.4.8+1_armel.deb) ... dpkg: error processing /var/cache/apt/archives/gstreamer0.10-plugins-bad_0.10.22-2ubuntu4+ti1.5.4.8+1_armel.deb (--unpack): trying to overwrite '/usr/lib/libgstbasecamerabinsrc-0.10.so.0.0.0', which is also in package gstreamer0.10-plugins-good 0.10.30-1ubuntu7.1 dpkg-deb: error: subprocess paste was killed by signal (Broken pipe) Errors were encountered while processing: /var/cache/apt/archives/gstreamer0.10-plugins-bad_0.10.22-2ubuntu4+ti1.5.4.8+1_armel.deb E: Sub-process /usr/bin/dpkg returned an error code (1) Seems like two packages (plugins-good and plugins-bad) are fighting over the same library. Any idea on how to fix this??

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  • How do I create a PPA for a working program?

    - by d3vid
    Let's assume I have a working application written in C, C++ or Python. I want to create a Launchpad PPA so others can easily install it from a package. Please give step by step instructions for doing this from beginning to end. (Or provide a link that does the same ;) Does the programming language matter? (Could it be a bash script?) Do I need to add anything to my build? Where should the build install itself to? How do I define dependencies? How do I use dependencies? How do I create a .deb? What do I need to do before uploading to Launchpad?

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  • Software requirements specification, please help!

    - by Nicholas Chow
    For a school project, I had to create a SRS for a "fictional" application. However they did not show us what it exactly entails, and were very vague with explanations. The SRS asked of us has to have at least 5 functional requirements, 5 non functional requirements and 1 constraint. Now I have tried my best to make one however I think there are still a lot of mistakes in it. Could you all please look at it and provide me with some feedback on which parts I can improve or just tell me which parts are plain out wrong and how to make it better? (The project has a maximum of 12 pages so it is a bit long, I will post it below. FR1 Registration of Organizer FR1 describes the registration of an Organizer on CrowdFundum FR1.1 The system shall display a registration form on the website. FR1.2 The system shall require a Name, Username, Document number passport/ID card, Address, Zip code, City, Email address, Telephone number, Bank account, Captcha code on the registration form when a user registers.

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  • can not install gimp

    - by user71700
    I tried to install Gimp but I get an error that there are unmet dependencies. How can I handle that. I am running UBUNTU 12.04 in 64 bit. This is the message I get: The following packages have unmet dependencies: gimp: Depends: python-gtk2 (= 2.8.0) but 2.24.0-3 is to be installed Depends: libc6 (= 2.15) but 2.15-0ubuntu10 is to be installed Depends: libfontconfig1 (= 2.8.0) but 2.8.0-3ubuntu9 is to be installed Depends: libgdk-pixbuf2.0-0 (= 2.22.0) but 2.26.1-1 is to be installed Depends: libglib2.0-0 (= 2.31.2) but 2.32.3-0ubuntu1 is to be installed Depends: libgtk2.0-0 (= 2.24.0) but 2.24.10-0ubuntu6 is to be installed Depends: libjpeg8 (= 8c) but 8c-2ubuntu7 is to be installed Depends: librsvg2-2 (= 2.14.4) but 2.36.1-0ubuntu1 is to be installed Depends: zlib1g (= 1:1.1.4) but 1:1.2.3.4.dfsg-3ubuntu4 is to be installed Depends: python (= 2.7.1-0ubuntu2) but 2.7.3-0ubuntu2 is to be installed

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  • Gradle for NetBeans RCP

    - by Geertjan
    Start with the NetBeans Paint Application and do the following to build it via Gradle (i.e., no Gradle/NetBeans plugin is needed for the following steps), assuming you've set up Gradle. Do everything below in the Files or Favorites window, not in the Projects window. In the application directory "Paint Application". Create a file named "settings.gradle", with this content: include 'ColorChooser', 'Paint' Create another file in the same location, named "build.gradle", with this content: subprojects { apply plugin: "announce" apply plugin: "java" sourceSets { main { java { srcDir 'src' } resources { srcDir 'src' } } } } In the module directory "Paint". Create a file named "build.gradle", with this content: dependencies { compile fileTree("$rootDir/build/public-package-jars").matching { include '**/*.jar' } } task show << { configurations.compile.each { dep -> println "$dep ${dep.isFile()}" } } Note: The above is a temporary solution, as you can see, the expectation is that the JARs are in the 'build/public-packages-jars' folder, which assumes an Ant build has been done prior to the Gradle build. Now run 'gradle classes' in the "Paint Application" folder and everything will compile correctly. So, this is how the Paint Application now looks: Preferable to the second 'build.gradle' would be this, which uses the JARs found in the NetBeans Platform... netbeansHome = '/home/geertjan/netbeans-dev-201111110600' dependencies { compile files("$rootDir/ColorChooser/release/modules/ext/ColorChooser.jar") def projectXml = new XmlParser().parse("nbproject/project.xml") projectXml.configuration.data."module-dependencies".dependency."code-name-base".each { if (it.text().equals('org.openide.filesystems')) { def dep = "$netbeansHome/platform/core/"+it.text().replace('.','-')+'.jar' compile files(dep) } else if (it.text().equals('org.openide.util.lookup') || it.text().equals('org.openide.util')) { def dep = "$netbeansHome/platform/lib/"+it.text().replace('.','-')+'.jar' compile files(dep) } else { def dep = "$netbeansHome/platform/modules/"+it.text().replace('.','-')+'.jar' compile files(dep) } } } task show << { configurations.compile.each { dep -> println "$dep ${dep.isFile()}" } } However, when you run 'gradle classes' with the above, you get an error like this: geertjan@geertjan:~/NetBeansProjects/PaintApp1/Paint$ gradle classes :Paint:compileJava [ant:javac] Note: Attempting to workaround javac bug #6512707 [ant:javac] [ant:javac] [ant:javac] An annotation processor threw an uncaught exception. [ant:javac] Consult the following stack trace for details. [ant:javac] java.lang.NullPointerException [ant:javac] at com.sun.tools.javac.util.DefaultFileManager.getFileForOutput(DefaultFileManager.java:1058) No idea why the above happens, still trying to figure it out. Once the above works, we can start figuring out how to use the NetBeans Maven repo instead and then the user of the plugin will be able to select whether to use local JARs or JARs from the NetBeans Maven repo. Many thanks to Hans Dockter who put the above together with me today, via Skype!

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  • Error trying to install the Java SDK

    - by Ray
    I need to install the Java 6 SDK, but after running this: sudo apt-get install sun-java6-jdk sun-java6-jre sun-java6-source I end up with this: Reading package lists... Done Building dependency tree Reading state information... Done You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies: sun-java6-jdk : Depends: sun-java6-bin (>= 6.26-1lucid1) but it is not going to be installed sun-java6-jre : Depends: sun-java6-bin (>= 6.26-1lucid1) but it is not going to be installed or ia32-sun-java6-bin (>= 6.26-1lucid1) but it is not installable Recommends: gsfonts-x11 but it is not going to be installed E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). I'm quite new to Ubuntu and need the packages for my course. I guess they've become corrupted but, how can I fix this?

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