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  • Origin of common list-processing function names

    - by Heatsink
    Some higher-order functions for operating on lists or arrays have been repeatedly adopted or reinvented. The functions map, fold[l|r], and filter are found together in several programming languages, such as Scheme, ML, and Python, that don't seem to have a common ancestor. I'm going with these three names to keep the question focused. To show that the names are not universal, here is a sampling of names for equivalent functionality in other languages. C++ has transform instead of map and remove_if instead of filter (reversing the meaning of the predicate). Lisp has mapcar instead of map, remove-if-not instead of filter, and reduce instead of fold (Some modern Lisp variants have map but this appears to be a derived form.) C# uses Select instead of map and Where instead of filter. C#'s names came from SQL via LINQ, and despite the name changes, their functionality was influenced by Haskell, which was itself influenced by ML. The names map, fold, and filter are widespread, but not universal. This suggests that they were borrowed from an influential source into other contemporary languages. Where did these function names come from?

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  • The Most Ridiculous Computer Cameos of All Time

    - by Jason Fitzpatrick
    For the last half century computers have played all sorts of major and minor roles in movies; check out this collection to see some of the more quirky and out-of-place appearances. Wired magazine rounds up some of the more oddball appearances of computers in film. Like, for example, the scene shown above from Soylent Green: Spoiler alert: Soylent Green is people! But that’s not the only thing we’re gonna spoil. Soylent Green is set in 2022, and at one point, you’ll notice that a government facility is still using a remote calculator that plugs into the CDC 6600, a machine that was state-of-the-art in 1971. Come to think of it, we should scratch this from the list. This is pretty close to completely accurate. Hit up the link below to check out the full gallery, including a really interesting bit about how the U.S. Government’s largest computer project–once decommissioned and sold as surplus–ended up on the sets of dozens of movies and television shows. The Most Wonderfully Ridiculous Movie Computers of All Time [Wired] Why Enabling “Do Not Track” Doesn’t Stop You From Being Tracked HTG Explains: What is the Windows Page File and Should You Disable It? How To Get a Better Wireless Signal and Reduce Wireless Network Interference

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  • Easy to use JSON Web Service Hosts?

    - by Serguei Fedorov
    I saw this being used by someone in a college class once and cannot find anything that is analogous to it. I am not sure if this is the right place to ask about something like this, but hopefully I can get some direction. I want to write an app which uses web services that can obtain and push data back to the client apps. Right now I am gathering up the design and documentation of this app. Not having to code the web service myself would reduce development time by a lot; instead using an easy to setup web service that will be easy to setup and manage. Either XML based on JSON based is totally fine; though I would prefer JSON for its reduced overhead. Like I said I have seen this demonstrated before; you define the data structure to be stored and how it is treated. I cannot find the person who demonstrated this; hopefully maybe someone can suggest something? The service he used was free with a limited amount of requests allowed. EDIT: He was using an online service to do this not a script which is installed onto an existing web hosting account. Thank you!

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  • Sharding / indexing strategy for multi-faceted search

    - by Graham
    I'm currently thinking about our database structure and how we modify it for scale. Specifically, we're thinking about using ElasticSearch to provide our search functionality. One common pattern with ElasticSearch seems to be the 'user-routing' pattern; that is, using routing to ensure that any one user's data resides on the same shard. This is great for client-specific search e.g. Gmail. Our application has a constraint such that any user will have a maximum of a few thousand documents, so this pattern seems like a good candidate. However, our search needs to work across all users, as well as targeting a specific user (so I might search my content, Alice's content, or all content). Similarly, we need to provide full-text search across any timeframe; recent months to several years ago. I'm thinking of combining the 'user-routing' and 'index-per-time-interval' patterns: I create an index for each month By default, searches are aliased against the most recent X months If no results are found, we can search against previous X months As we grow, we can reduce the interval X Each document is routed by the user ID So, this should let us do the following: search by user. This will search all indeces across 1 shard search by time. This will search ~2 indeces (by default) across all shards Is this a reasonable approach, considering we may scale to multi-million+ documents? Or should I be denormalizing the data somehow, so that user searches are performed on a totally seperate index from date searches? Thanks for any pros-cons of the above scenario.

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  • Faster, Simpler access to Azure Tables with Enzo Azure API

    - by Herve Roggero
    After developing the latest version of Enzo Cloud Backup I took the time to create an API that would simplify access to Azure Tables (the Enzo Azure API). At first, my goal was to make the code simpler compared to the Microsoft Azure SDK. But as it turns out it is also a little faster; and when using the specialized methods (the fetch strategies) it is much faster out of the box than the Microsoft SDK, unless you start creating complex parallel and resilient routines yourself. Last but not least, I decided to add a few extension methods that I think you will find attractive, such as the ability to transform a list of entities into a DataTable. So let’s review each area in more details. Simpler Code My first objective was to make the API much easier to use than the Azure SDK. I wanted to reduce the amount of code necessary to fetch entities, remove the code needed to add automatic retries and handle transient conditions, and give additional control, such as a way to cancel operations, obtain basic statistics on the calls, and control the maximum number of REST calls the API generates in an attempt to avoid throttling conditions in the first place (something you cannot do with the Azure SDK at this time). Strongly Typed Before diving into the code, the following examples rely on a strongly typed class called MyData. The way MyData is defined for the Azure SDK is similar to the Enzo Azure API, with the exception that they inherit from different classes. With the Azure SDK, classes that represent entities must inherit from TableServiceEntity, while classes with the Enzo Azure API must inherit from BaseAzureTable or implement a specific interface. // With the SDK public class MyData1 : TableServiceEntity {     public string Message { get; set; }     public string Level { get; set; }     public string Severity { get; set; } } //  With the Enzo Azure API public class MyData2 : BaseAzureTable {     public string Message { get; set; }     public string Level { get; set; }     public string Severity { get; set; } } Simpler Code Now that the classes representing an Azure Table entity are defined, let’s review the methods that the Azure SDK would look like when fetching all the entities from an Azure Table (note the use of a few variables: the _tableName variable stores the name of the Azure Table, and the ConnectionString property returns the connection string for the Storage Account containing the table): // With the Azure SDK public List<MyData1> FetchAllEntities() {      CloudStorageAccount storageAccount = CloudStorageAccount.Parse(ConnectionString);      CloudTableClient tableClient = storageAccount.CreateCloudTableClient();      TableServiceContext serviceContext = tableClient.GetDataServiceContext();      CloudTableQuery<MyData1> partitionQuery =         (from e in serviceContext.CreateQuery<MyData1>(_tableName)         select new MyData1()         {            PartitionKey = e.PartitionKey,            RowKey = e.RowKey,            Timestamp = e.Timestamp,            Message = e.Message,            Level = e.Level,            Severity = e.Severity            }).AsTableServiceQuery<MyData1>();        return partitionQuery.ToList();  } This code gives you automatic retries because the AsTableServiceQuery does that for you. Also, note that this method is strongly-typed because it is using LINQ. Although this doesn’t look like too much code at first glance, you are actually mapping the strongly-typed object manually. So for larger entities, with dozens of properties, your code will grow. And from a maintenance standpoint, when a new property is added, you may need to change the mapping code. You will also note that the mapping being performed is optional; it is desired when you want to retrieve specific properties of the entities (not all) to reduce the network traffic. If you do not specify the properties you want, all the properties will be returned; in this example we are returning the Message, Level and Severity properties (in addition to the required PartitionKey, RowKey and Timestamp). The Enzo Azure API does the mapping automatically and also handles automatic reties when fetching entities. The equivalent code to fetch all the entities (with the same three properties) from the same Azure Table looks like this: // With the Enzo Azure API public List<MyData2> FetchAllEntities() {        AzureTable at = new AzureTable(_accountName, _accountKey, _ssl, _tableName);        List<MyData2> res = at.Fetch<MyData2>("", "Message,Level,Severity");        return res; } As you can see, the Enzo Azure API returns the entities already strongly typed, so there is no need to map the output. Also, the Enzo Azure API makes it easy to specify the list of properties to return, and to specify a filter as well (no filter was provided in this example; the filter is passed as the first parameter).  Fetch Strategies Both approaches discussed above fetch the data sequentially. In addition to the linear/sequential fetch methods, the Enzo Azure API provides specific fetch strategies. Fetch strategies are designed to prepare a set of REST calls, executed in parallel, in a way that performs faster that if you were to fetch the data sequentially. For example, if the PartitionKey is a GUID string, you could prepare multiple calls, providing appropriate filters ([‘a’, ‘b’[, [‘b’, ‘c’[, [‘c’, ‘d[, …), and send those calls in parallel. As you can imagine, the code necessary to create these requests would be fairly large. With the Enzo Azure API, two strategies are provided out of the box: the GUID and List strategies. If you are interested in how these strategies work, see the Enzo Azure API Online Help. Here is an example code that performs parallel requests using the GUID strategy (which executes more than 2 t o3 times faster than the sequential methods discussed previously): public List<MyData2> FetchAllEntitiesGUID() {     AzureTable at = new AzureTable(_accountName, _accountKey, _ssl, _tableName);     List<MyData2> res = at.FetchWithGuid<MyData2>("", "Message,Level,Severity");     return res; } Faster Results With Sequential Fetch Methods Developing a faster API wasn’t a primary objective; but it appears that the performance tests performed with the Enzo Azure API deliver the data a little faster out of the box (5%-10% on average, and sometimes to up 50% faster) with the sequential fetch methods. Although the amount of data is the same regardless of the approach (and the REST calls are almost exactly identical), the object mapping approach is different. So it is likely that the slight performance increase is due to a lighter API. Using LINQ offers many advantages and tremendous flexibility; nevertheless when fetching data it seems that the Enzo Azure API delivers faster.  For example, the same code previously discussed delivered the following results when fetching 3,000 entities (about 1KB each). The average elapsed time shows that the Azure SDK returned the 3000 entities in about 5.9 seconds on average, while the Enzo Azure API took 4.2 seconds on average (39% improvement). With Fetch Strategies When using the fetch strategies we are no longer comparing apples to apples; the Azure SDK is not designed to implement fetch strategies out of the box, so you would need to code the strategies yourself. Nevertheless I wanted to provide out of the box capabilities, and as a result you see a test that returned about 10,000 entities (1KB each entity), and an average execution time over 5 runs. The Azure SDK implemented a sequential fetch while the Enzo Azure API implemented the List fetch strategy. The fetch strategy was 2.3 times faster. Note that the following test hit a limit on my network bandwidth quickly (3.56Mbps), so the results of the fetch strategy is significantly below what it could be with a higher bandwidth. Additional Methods The API wouldn’t be complete without support for a few important methods other than the fetch methods discussed previously. The Enzo Azure API offers these additional capabilities: - Support for batch updates, deletes and inserts - Conversion of entities to DataRow, and List<> to a DataTable - Extension methods for Delete, Merge, Update, Insert - Support for asynchronous calls and cancellation - Support for fetch statistics (total bytes, total REST calls, retries…) For more information, visit http://www.bluesyntax.net or go directly to the Enzo Azure API page (http://www.bluesyntax.net/EnzoAzureAPI.aspx). About Herve Roggero Herve Roggero, Windows Azure MVP, is the founder of Blue Syntax Consulting, a company specialized in cloud computing products and services. Herve's experience includes software development, architecture, database administration and senior management with both global corporations and startup companies. Herve holds multiple certifications, including an MCDBA, MCSE, MCSD. He also holds a Master's degree in Business Administration from Indiana University. Herve is the co-author of "PRO SQL Azure" from Apress and runs the Azure Florida Association (on LinkedIn: http://www.linkedin.com/groups?gid=4177626). For more information on Blue Syntax Consulting, visit www.bluesyntax.net.

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  • You may be tempted by IaaS, but you should PaaS on that or your database cloud journey will be a short one

    - by B R Clouse
    Before we examine Consolidation, the next step in the journey to cloud, let's take a short detour to address a critical choice you will face at the outset of your journey: whether to deploy your databases in virtual machines or not. A common misconception we've encountered is the belief that moving to cloud computing can be accomplished by simply hosting one's current operating environment as-is within virtual machines, and then stacking those VMs together in a consolidated environment.  This solution is often described as "Infrastructure as a Service" (IaaS) because the building block for deployments is a VM, which behaves like a full complement of infrastructure.  This approach is easy to understand and may feel like a good first step, but it won't take your databases very far in the journey to cloud computing.  In fact, if you follow the IaaS fork in the road, your journey will end quickly, without realizing the full benefits of cloud computing.  The better option to is to rationalize the deployment stack so that VMs are needed only for exceptional cases.  By settling on a standard operating system and patch level, you create an infrastructure that potentially all of your databases can share.  Now, the building block will be database instances or possibly schemas within databases.  These components are the platforms on which you will deploy workloads, hence this is known as "Platform as a Service" (PaaS). PaaS opens the door to higher degrees of consolidation than IaaS, because with PaaS you will not need to accommodate the footprint (operating system, hypervisor, processes, ...) that each VM brings with it.  You will also reduce your maintenance overheard if you move forward without the VMs and their O/Ses to patch and monitor.  So while IaaS simply shuffles complex and varied environments into VMs,  PaaS actually reduces complexity by rationalizing to the small possible set of components.  Now we're ready to look at the consolidation options that PaaS provides -- in our next blog posting.

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  • Optimising website IP for location

    - by Liam Sorsby
    From my understanding of SEO, websites are optimised for the current location of their IP address. For example if xxx.xxx.xxx.xx resolves to the UK then you are more likely to get higher rankings in the UK then you are in the USA. However, my query is when you use a CDN you are storing a cached version of your website across multiple servers at strategic locations across the globe to reduce load time in locations that your trying to target. Now if you use a CDN and geo-locate the website URL then it only resolves back to the USA (where our IP address resolves too) but it doesn't say it resolves to any other countries. As far as I know you can have multiple IP address resolving to one domain (from different countries). Do CDN's really help to optimise the location of your website or are they soley meant to optimise load time? Is there a better way to optimise for multiple countries with regards to the resolution of the IP address? Are VPN's as per this post here relevant to this? Any advice would be helpful.

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  • Which approach is the most maintainable?

    - by 2rs2ts
    When creating a product which will inherently suffer from regression due to OS updates, which of these is the preferable approach when trying to reduce maintenance cost and the likelihood of needing refactoring, when considering the task of interpreting system state and settings for a lay user? Delegate the responsibility of interpreting the results of inspecting the system to the modules which perform these tasks, or, Separate the concerns of interpretation and inspection into two modules? The first obviously creates a blob in which a lot of code would be verbose, redundant, and hard to grok; the second creates a strong coupling in which the interpretation module essentially has to know what it expects from inspection routines and will have to adapt to changes to the OS just as much as the inspection will. I would normally choose the second option for the separation of concerns, foreseeing the possibility that inspection routines could be re-used, but a developer updating the product to deal with a new OS feature or something would have to not only write an inspection routine but also write an interpretation routine and link the two correctly - and it gets worse for a developer who has to change which inspection routines are used to get a certain system setting, or worse yet, has to fix an inspection routine which broke after an OS patch. I wonder, is it better to have to patch one package a lot or two packages, each somewhat less so?

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  • Genetic Algorithm new generation exponentially increasing

    - by Rdz
    I'm programming Genetic Algorithm in C++ and after searching all kind of ways of doing GA'a operators (selection, crossover, mutation) I came up with a doubt. Let's say I have an initial population of 500. My selection will consist in getting the top 20% of 500(based on best fitness). So I get 100 individuals to mate. When I do the crossover I'll get 2 children where both together have 50% of surviving. So far so good. I start the mutation, and everything's ok.. Now when I start choosing the Next generation, I see that I have a big number of children (in this case, 4950 if you wanna know). Now the thing is, every time I run GA, if I send all the children to the next generation, the number of individuals per generation will increase exponentially. So there must be a way of choosing the children to fulfill a new generation without getting out of this range of the initial population. What I'm asking here is if there is anyway of choosing the children to fill the new generations OR should I choose somehow (and maybe reduce) the parents to mate so I don't get so many children in the end. Thanks :)

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  • Oracle Customer Experience (CX) Solutions Make Retailers Merry

    - by Tuula Fai
    Tis the season to be jolly. If you’re a retailer, your level of jolliness depends on sales. So you watch trends like U.S. store traffic increasing 3.5% to 308 million on Black Friday but sales actually falling 1.8% to $11.2 billion. Fortunately, by the end of November, retail sales were up 3.7% over the previous year, thanks to life recovering after Hurricane Sandy. And online sales topped $1 billion for the first time ever! Who are the companies improving their sales online? They are big names like Walgreen’s Drugstore.com, Nordstrom’s HauteLook, and Intuit. More importantly, how are they doing it? They use cutting-edge business practices enabled by Oracle’s CX Cloud Service & Support solutions to: Increase conversions rates and order sizes (Customer Acquisition) Enhance customer satisfaction and loyalty (Customer Retention) Reduce contact center costs and improve agent productivity (Operational Efficiency). Acquisition + Retention + Operational Efficiency = Sustainable Growth and Profits. That’s the magic formula for retail customer service success. Don’t take our word for it. Look at the results of these Oracle customers: Walgreen’s Drugstore—30% sales conversion rate on chat sessions with 20% increase in shopping cart size Nordstrom’s HauteLook—40,000+ interactions per month—20% growth over last year— efficiently managed by 40 agents, with no increase in IT costs Intuit—50% increase in customer satisfaction and 70% decrease in cost per interaction Using Oracle’s CX Cloud & Service solutions, these retailers deliver consistent, relevant, and personalized experiences across all touchpoints, including social, mobile, and web. Their ability to connect with customers anytime, anywhere—providing the right answer at the right time—helps them create a defensible advantage in the marketplace. Want to learn more? Please visit http://www.oracle.com/goto/cloudlaunchpad for free resources on delivering exceptional customer service in the Cloud. Also, watch our YouTube channel to learn more about seamless multichannel retail and Winston Furnishings’ exceptional customer experience.

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  • Why should I use MSBuild instead of Visual Studio Solution files?

    - by Sid
    We're using TeamCity for continuous integration and it's building our releases via the solution file (.sln). I've used Makefiles in the past for various systems but never msbuild (which I've heard is sorta like Makefiles + XML mashup). I've seen many posts on how to use msbuild directly instead of the solution files but I don't see a very clear answer on why to do it. So, why should we bother migrating from solution files to an MSBuild 'makefile'? We do have a a couple of releases that differ by a #define (featurized builds) but for the most part everything works. The bigger concern is that now we'd have to maintain two systems when adding projects/source code. UPDATE: Can folks shed light on the lifecycle and interplay of the following three components? The Visual Studio .sln file The many project level .csproj files (which I understand an "sub" msbuild scripts) The custom msbuild script Is it safe to say that the .sln and .csproj are consumed/maintained as usual from within the Visual Studio IDE GUI while the custom msbuild script is hand-written and usually consumes the already existing individual .csproj "as-is"? That's one way I can see reduce overlap/duplicate in maintenance... Would appreciate some light on this from other folks' operational experience

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  • Dealing with the node callback pyramid

    - by thecoop
    I've just started using node, and one thing I've quickly noticed is how quickly callbacks can build up to a silly level of indentation: doStuff(arg1, arg2, function(err, result) { doMoreStuff(arg3, arg4, function(err, result) { doEvenMoreStuff(arg5, arg6, function(err, result) { omgHowDidIGetHere(); }); }); }); The official style guide says to put each callback in a separate function, but that seems overly restrictive on the use of closures, and making a single object declared in the top level available several layers down, as the object has to be passed through all the intermediate callbacks. Is it ok to use function scope to help here? Put all the callback functions that need access to a global-ish object inside a function that declares that object, so it goes into a closure? function topLevelFunction(globalishObject, callback) { function doMoreStuffImpl(err, result) { doMoreStuff(arg5, arg6, function(err, result) { callback(null, globalishObject); }); } doStuff(arg1, arg2, doMoreStuffImpl); } and so on for several more layers... Or are there frameworks etc to help reduce the levels of indentation without declaring a named function for every single callback? How do you deal with the callback pyramid?

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  • How do I throttle a command in a terminal window?

    - by To Do
    I needed to run convert with a lot of images at the same time. The command took quite a while but this doesn't bother me. The issue is that this command rendered my computer unusable while the command was running (for about 15 minutes). So is it possible to throttle the command by limiting resources (processor and memory) to the command, directly from the command line? This can only work if I add something to the same line before pressing Enter because once I start the process the computer slows so much that it is impossible for example to switch to "System monitor" and reduce priority. Edit: top and iotop results I managed to run top and sudo iotop >iotop.txt while doing one of these convert operations. (The iotop.txt file produced is difficult to read) Results of top: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 14275 username 20 0 4043m 3.0g 1448 D 7.0 80.4 0:16.45 convert Results of iotop: [?1049h[1;24r(B[m[4l[?7h[?1h=[39;49m[?25l[39;49m(B[m[H[2JTotal DISK READ: 1269.04 K/s | Total DISK WRITE:[59G0.00 B/s (B[0;7m TID PRIO USER DISK READ DISK WRITE SWAPIN(B[0;1;7m IO(B[0;7m COMMAND [3;2H(B[m2516 be/4 username 350.08 K/s 0.00 B/s 0.00 % 0.00 % zeitgeist-datahub 7394 be/4 username 568.88 K/s 0.00 B/s 77.41 % 0.00 % --rendere~.530483991[5;1H14275 idle username 350.08 K/s 0.00 B/s 37.49 % 0.00 % convert S~f test.pdf[6;2H2048 be/4 root[6;24H0.00 B/s 0.00 B/s 0.00 % 0.00 % [kworker/3:2] [5G1 be/4 root[7;24H0.00 B/s 0.00 B/s 0.00 % 0.00 % init Furthermore, even after the process ends, the computer does not return to the previous performance. I found a way around this by running sudo swapoff -a followed by sudo swapon -a

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  • Platinum Services – The Highest Level of Service in the Industry

    - by cwarticki
    Oracle Platinum Services provides remote fault monitoring with faster response times and patch deployment services to qualified Oracle Premier Support customers – at no additional cost. We know that disruptions in IT systems availability can seriously impact business performance. That’s why we engineer our hardware and software to work together. Oracle engineered systems are pre-integrated to reduce the cost and complexity of IT infrastructures while increasing productivity and performance. And now, customers who choose the extreme performance of Oracle engineered systems have the power to access the added support they need – Oracle Platinum Services – to further optimize for high availability at no additional cost.  In addition to receiving the complete support essentials with Oracle Premier Support, qualifying Oracle Platinum Services customers also receive: •     24/7 Oracle remote fault monitoring •    Industry-leading response and restore times o   5-Minute Fault Notification o   15-Minute Restoration or Escalation to Development o   30-Minute Joint Debugging with Development •    Update and patch deployment Visit us online to learn more about how to get Oracle Platinum Services

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  • Clutter for game GUI

    - by tjameson
    I'm pretty new to game development, having only written a simple 3d game for a class project, but I'd like to get started on a bigger project. I'm writing an MMORPG to run in both the browser (WebGL) and natively (OpenGL ES 2). In choosing a GUI toolkit, I'm trying to find a style that work work natively and would be simple to emulate in WebGL. I am considering using D or Go for writing my game, so interfacing with C++ libraries will be difficult, if not impossible. Of course, the language isn't the end goal here, so if using C++ will save considerable time, I'll bite the bullet and use that. In order to reduce the amount of code I'll have to write for the browser, I'm considering using something simple like Clutter for basic abstractions, which I think will be pretty easy to emulate (layered canvases maybe?). Does anyone have experience using Clutter for a 3d game? Note: I haven't used any game development libraries, and I only have limited experience with GUI libraries. I do have HTML+CSS experience, so maybe librocket is a viable solution?

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  • How to remove the last character from Stringbuilder

    - by hmloo
    We usually use StringBuilder to append string in loops and make a string of each data separated by a delimiter. but you always end up with an extra delimiter at the end. This code sample shows how to remove the last delimiter from a StringBuilder. using System; using System.Collections.Generic; using System.Text; using System.Linq; class Program { static void Main() { var list =Enumerable.Range(0, 10).ToArray(); StringBuilder sb = new StringBuilder(); foreach(var item in list) { sb.Append(item).Append(","); } sb.Length--;//Just reduce the length of StringBuilder, it's so easy Console.WriteLine(sb); } } //Output : 0,1,2,3,4,5,6,7,8,9 Alternatively,  we can use string.Join for the same results, please refer to blow code sample. using System; using System.Collections.Generic; using System.Text; using System.Linq; class Program { static void Main() { var list = Enumerable.Range(0, 10).Select(n => n.ToString()).ToArray(); string str = string.Join(",", list); Console.WriteLine(str); } }

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  • Best practices in versioning

    - by Gerenuk
    I develop some scripts for data analysis in a small team. For the moment we use SVN, but not in a very structured way. We haven't even looked how to use branches even though we need this functionality. What do you suggest as the best practice to setup the following system: two code bases (core and plugins) versions can be incompatible to previous scripts sometimes individual features are being developed and not yet finished, while other fixes have to be done urgently to the code In the end we don't deliver the code as a package, but rather place the Python scripts in some directory (with version names?). Some other python script which serves as a configuration choses the desired version, sets the path to these libraries and then starts to import the modules. I saw stable releases to be named "trunk" so I did the same. However, no version numbers yet. Core and plugins are different repositories, however we have to match versions for compatibility. Can you suggest some best practices or reference to ease development and reduce chaos? :) Some suggested GIT. I haven't heard about it, but I'm free to change.

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  • How do I improve terrain rendering batch counts using DirectX?

    - by gamer747
    We have determined that our terrain rendering system needs some work to minimize the number of batches being transferred to the GPU in order to improve performance. I'm looking for suggestions on how best to improve what we're trying to accomplish. We logically split our terrain mesh into smaller grid cells which are 32x32 world units. Each cell has meta data that dictates the four 256x256 textures that are used for spatting along with the alpha blend data, shadow, and light mappings. Each cell contains 81 vertices in a 9x9 grid. Presently, we examine each cell and determine the four textures that are being used to spat the cell. We combine that geometry with any other cell that perhaps uses the same four textures regardless of spat order. If the spat order for a cell differs, the blend map is adjusted so that the spat order is maintained the same as other like cells and blending happens in the right order too. But even with this batching approach, it isn't uncommon when looking out across an area of open terrain to have between 1200-1700 batch count depending upon how frequently textures differ or have different texture blends are between cells. We are only doing frustum culling presently. So using texture spatting, are there other alternatives that can reduce the batch count and allow rendering to be extremely performance-friendly even under DirectX9c? We considered using texture atlases since we're targeting DirectX 9c & older OpenGL platforms but trying to repeat textures using atlases and shaders result in seam artifacts which we haven't been able to eliminate with the exception of disabling mipmapping. Disabling mipmapping results in poor quality textures from a distance. How have others batched together terrain geometry such that one could spat terrain using various textures, minimizing batch count and texture state switches so that rendering performance isn't negatively impacted?

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  • Should I be looking for developers with specific skill sets or generalists that need to learn?

    - by Lostsoul
    Thanks to the great help of this site and SO, I've been able to make a prototype of a software I want to sell but unfortunately although the prototype works I think my code quality is very low. I didn't use much OOP or design patterns so although my code is understandable to me, I think a normal developer would faint if they had to read it. So I wanted to hire a developer to make it a bit more better quality and improve some of my implementations of API's that I may have not done correctly. I'm having problems hiring a developer though. I have met 2 developers and had them read my software specs.The problem is, they lacked my business's domain knowledge(which is completely understandable and no biggie) but they also lacked knowledge of the underlying tech systems I used such as Hadoop, Hbase, Cuda, etc..I spent alot of time explaining map/reduce, bigtables and other technologies I used. I thought it was common knowledge because of my interactions with people on this site but the people I met with mentioned they never had to deal with these things so they didn't know it. My question is, for software projects that are hiring contractor developers is it a danger if the developer does not have experience with the underlying technologies? or can a general developer who is accomplished in another area realistically pick up new technologies? I did a very very quick back of envelope calculation and I think the upfront costs would be similar if I hire a student or developer with no experience in my technologies who will work many hours versus hiring a highly experienced developer who charges double but finishes in half the time but what other risks should I be considering or worried about? Also, should if I do hire a generalist, should I be paying for the time it takes them to learn hadoop or cuda if they are contractors(seems to make business sense but not sure how fair it is to them if they do not use the skill again). I'm a bit confused so any suggestions would be great.

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  • Join Us!! Live Webinar: Using UPK for Testing

    - by Di Seghposs
    Create Manual Test Scripts 50% Faster with Oracle User Productivity Kit  Thursday, March 29, 2012 11:00 am – 12:00 pm ET Click here to register now for this informative webinar. Oracle UPK enhances the testing phase of the implementation lifecycle by reducing test plan creation time, improving accuracy, and providing the foundation for reusable training documentation, application simulations, and end-user performance support—all critical assets to support an enterprise application implementation. With Oracle UPK: Reduce manual test plan development time - Accelerate the testing cycle by significantly reducing the time required to create the test plan. Improve test plan accuracy - Capture test steps automatically using Oracle UPK and import those steps directly to any of these testing suites eliminating many of the errors that occur when writing manual tests. Create the foundation for reusable assets - Recorded simulations can be used for other lifecycle phases of the project, such as knowledge transfer for training and support. With its integration to Oracle Application Testing Suite, IBM Rational, and HP Quality Center, Oracle UPK allows you to deploy high-quality applications quickly and effectively by providing a consistent, repeatable process for gathering requirements, planning and scheduling tests, analyzing results, and managing  issues. Join this live webinar and learn how to decrease your time to deployment and enhance your testing plans today! 

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  • Best way to calculate unit deaths in browser game combat?

    - by MikeCruz13
    My browser game's combat system is written and mechanically functioning well. It's written in PHP and uses a SQL database. I'm happy with the unit balance in relation to one another. I am, however, a little worried about how I'm calculating unit deaths when one player attacks another because the deaths seem to pile up a little fast for my taste. For this system, a battle doesn't just trigger, calculate winner, and end. Instead, it is allowed to go for several rounds (say one round every 15 mins.) until one side passes a threshold of being too strong for the other player and allows players to send reinforcements between rounds. Each round, units pair up and attack each other. Essentially what I do is calculate the damage: AP = Attack Points HP = Hit Points Units AP * Quantity * Random Factors * other factors (such as attrition) I take that and divide by the defending unit's HP to find the number of casualties of defending units. So, for example (simplified to take out some factors), if I have: 500 attackers with 50 AP vs 1000 defenders with 100 HP = 250 deaths. I wonder if that last step could be handled better to reduce the deaths piling up. Some ideas: I just change all the units with more HP? I make sure to set the Attacking unit's AP to be a max of the defender's HP to make sure they only kill 1 unit. (is that fair if I have less huge units vs many small units?) I spread the damage around more by including the defending unit's quantity more? i.e. in that scenario some are dead and some are 50% damage. (How would I track this every round?) Other better mathematical approaches?

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  • Help w/ iPad 1 performance for tile-based DOM Javascript game

    - by butr0s
    I've made a 2D tile-based game with DOM/Javascript. For each level, the map data is loaded and parsed, then lots of tiles ( elements) are drawn onto a larger "map" element. The map is inside of a container that hides overflow, so I can move the map element around by positioning it absolutely. Works a treat on desktop browsers, and my iPad 2. My problem is that performance is really bad on iPad 1. The performance hit is directly related to all the tile elements in my map, because when I remove or reduce the number of tiles drawn, performance improves. Optimizing my collision detection loop has no effect. My first thought was to batch groups of tiles into containers, then hide/show them based on proximity to the player, however this still causes a huge hiccup when the player moves and a new group of tiles is displayed (offscreen). Actually removing the out-of-sight elements from the DOM, then re-adding them as necessary is no faster. Anyone know of any tips that might speed up DOM performance here? My map is 1920 x 1920 pixels, so as far as I know should be within the WebKit texture limit on iOS 5/iPad. The map is being moved with CSS3 transforms, and I've picked all the other obvious low-hanging fruit.

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  • Cheap ways to do scaling ops in shader?

    - by Nick Wiggill
    I've got an extensive world terrain that uses vec3 for the vertex position attribute. That's good, because the terrain has endless gradations due to the use of floating point. But I'm thinking about how to reduce the amount of data uploaded to the GPU. For my terrain, which uses discrete / grid-based vertex positions in x and z, it's pretty clear that I can replace my vec3s (floats, really) with shorts, halving the per-vertex position attribute cost from 12 bytes each to 6 bytes. Considering I've got little enough other vertex data, and an enormous amount of terrain data to push into the world, it's a major gain. Currently in my code, one unit in GLSL shaders is equal to 1m in the world. I like that scale. If I move over to using shorts, though, I won't be able to use the same scale, as I would then have a very blocky world where every step in height is an entire metre. So I see these potential solutions to scale the positional data correctly once it arrives at the vertex shader stage: Use 10:1 scaling, i.e. 1 short unit = 1 decimetre in CPU-side code. Do a division by 10 in the vertex shader to scale incoming decimetre values back to metres. Arbirary (non-PoT) divisions tend to be slow, however. Use (some-power-of-two):1 scaling (eg. 8:1), which enables the use of a bitshift (eg. val >> 3) to do the division... not sure how performant this is in shaders, though. Not as intuitive to read values, but possibly quite a bit faster than div by a non-PoT value. Use a texture as lookup table. I've heard that this is really fast. Or whatever solutions others can offer to achieve the same results -- minimal vertex data with sensible scaling.

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  • Uralelektrostroy Improves Turnaround Times for Engineering and Construction Projects by Approximately 50% with Better Project Data Management

    - by Melissa Centurio Lopes
    LLC Uralelektrostroy was established in 1998, to meet the growing demand for reliable energy supply, which included the deployment and operation of a modern power grid system for Russia’s booming economy and industrial sector. To rise to the challenge, the country required a company with a strong reputation and the ability to strategically operate energy production and distribution facilities. As a renowned energy expert, Uralelektrostroy successfully embarked on the mission—focusing on the design, construction, and operation of power grids, transmission lines, and generation facilities. Today, Uralelektrostroy leads the Russian utilities industry with operations across the country, particularly in the Ural, Western Siberia, and Moscow regions. Challenges: Track work progress through all engineering project development stages with ease—from planning and start-up operations, to onsite construction and quality assurance—to enhance visibility into complex projects, such as power grid and power-transmission-line construction Implement and execute engineering projects faster—for example, designing and building power generation and distribution facilities—by better monitoring numerous local subcontractors Improve alignment of project schedules with project owners’ requirements—awarding federal and regional authorities—to avoid incurring fines for missing deadlines Solutions: Used Oracle’s Primavera P6 Enterprise Project Portfolio Management 8.1 to streamline communication with customers and subcontractors through better data management and harmonized reporting, reducing construction project implementation and turnaround times by approximately 50%, on average Enabled fast generation of work-in-progress reports that track project schedules, budgets, materials, and staffing—from approval and material procurement, to construction and delivery Reduced the number of construction sites by nearly 30% (from 35 to 25) by identifying unprofitable sites—streamlining operations at the company’s construction site network and increasing profitability Improved project visibility by enabling managers to efficiently track project status, ensuring on-time reporting and punctual project deliveries to federal customers to reduce delay penalties to zero “Oracle’s Primavera P6 Enterprise Project Portfolio Management 8.1 drastically changed the way we run our business. We’ve reduced the number of redundant assets, streamlined project implementation and execution, and improved collaboration with our customers and contractors. Overall, the Oracle deployment helped to increase our profitability.” – Roman Aleksandrovich Naumenko, Head of Information Technology, LLC Uralelektrostroy Read the complete customer snapshot here.

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  • What guidelines should be followed when implementing third-party tracking pixels?

    - by Strozykowski
    Background I work on a website that gets a fair amount of traffic, and as such, we have implemented different tracking pixels and techniques across the site for various specific reasons. Because there are many agencies who are sending traffic our way through email campaigns, print ads and SEM, we have agreements with a variety of different outside agencies for tracking these page hits. Consequently, we have tracking pixels which span the entire site, as well as some that are on specific pages only. We have worked to reduce the total number of pixels available on any one page, but occasionally the site is rendered close to unusable when one of these third-party tracking pixels fails to load. This is a huge difficulty on parts of the site where Javascript is needed for functionality built into the page, but is unable to initialize until a 404 is returned on the external tracking pixel. (Sometimes up to 30 seconds later) I have spent some time attempting to research how other firms deal with this sort of instability with third-party components, but have come up a bit short. The plan currently is to implement our own stop-gap method to deal with these external outages, but rather than reinventing the wheel, we wanted to find out how this is dealt with on other sites. Question Is there a good set of guidelines that should be followed when implementing third-party tracking pixels? I would love to see some white papers or other written documents about how other people have dealt with this issue.

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