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Search found 12 results on 1 pages for 'johnathan nardia'.

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  • Cache SHA1 digest result?

    - by johnathan
    I'm storing several versions of a file based on a digest of the original filename and its version, like this: $filename = sha1($original . ':' . $version); Would it be worth it to cache the digest ($filename) in memcache as a key/value pair (the key being the original + version and value the sha1 hash), or is generating the digest quick enough (for a high traffic php web app)? Thanks, Johnathan

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  • Problems with list<T> in Asp.Net c#

    - by Johnathan Nardia
    I'm making a web app in Asp.Net using c# that lets you add items into the list. My problem is that each time that i click the button to add a new item into the list , its just shows me the last item and the list counter shows me only 1 . What am I doing wrong?? Here is the code : public partial class home : System.Web.UI.Page { List<string> messageboxs = new List<string>(); public string val = ""; public string data = ""; protected void Button1_Click(object sender, EventArgs e) { val = ""; messageboxs.Add(text1.Text); ListBox1.DataSource = messageboxs; ListBox1.DataBind(); val = messageboxs.Count.ToString(); } }

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  • Difference between jruby AOT classes with --java flag and without

    - by Johnathan Leppert
    When I compile a ruby file to a java class using jrubyc, I get different output when compiling with just jrubyc and with jrubyc --java (to generate the java file) and just javac. Why? Example: First Method: $ jrubyc --java myscript.rb $ javac -cp .:./jruby-complete.jar myscript.java Second Method: $ jrubyc myscript.rb I'd expect the generated classes to be exactly the same, but they're not. What's jrubyc doing under the covers? Thanks!

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  • Batch backup a harddrive without modifying access times C#

    - by johnathan-doena
    I'm trying to write a simple program that will backup my flash drive. I want it to work automatically and silently in the background, and I also want it to be as quick as possible. The thing is, resetting all the access times is useless to me, and something I want to avoid. I know I can read the access times and set them back, but I bet it will fail one day in the future. It would be much simpler to read the files without ever changing it. Also, what is the fastest way to do this? What differences would there be between, say, a flash drive and an external hard drive. I am writing this in C#, as it is the simplest way to do it and it will probably last more generations of Windows..

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  • Scalable way of doing self join with many to many table

    - by johnathan
    I have a table structure like the following: user id name profile_stat id name profile_stat_value id name user_profile user_id profile_stat_id profile_stat_value_id My question is: How do I evaluate a query where I want to find all users with profile_stat_id and profile_stat_value_id for many stats? I've tried doing an inner self join, but that quickly gets crazy when searching for many stats. I've also tried doing a count on the actual user_profile table, and that's much better, but still slow. Is there some magic I'm missing? I have about 10 million rows in the user_profile table and want the query to take no longer than a few seconds. Is that possible?

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  • C++ JSON parser

    - by pollux
    Dear reader, I'm working on a twitter client which uses the twitter streaming json api. Twitter advices JSON as XML version is deprecated. I'm looking for a good JSON parser which can parse the json data below. I'm receiving this JSON which I want to be able to read/parse using a JSON parser. { "in_reply_to_status_id": null, "text": "Home-plate umpire Crawford gets stung http://tinyurl.com/27ujc86", "favorited": false, "coordinates": null, "in_reply_to_user_id": null, "source": "<a href=\"http://apiwiki.twitter.com/\" rel=\"nofollow\">API</a>", "geo": null, "created_at": "Fri Jun 18 15:12:06 +0000 2010", "place": null, "user": { "profile_text_color": "333333", "screen_name": "HostingViral", "time_zone": "Pacific Time (US & Canada)", "url": "http://bit.ly/1Way7P", "profile_link_color": "228235", "profile_background_image_url": "http://s.twimg.com/a/1276654401/images/themes/theme14/bg.gif", "description": "Full time Internet Marketer - Helping other reach their Goals\r\nhttp://wavemarker.com", "statuses_count": 1944, "profile_sidebar_fill_color": "c7b7c7", "profile_background_tile": true, "contributors_enabled": false, "lang": "en", "notifications": null, "created_at": "Wed Dec 30 07:50:52 +0000 2009", "profile_sidebar_border_color": "120412", "following": null, "geo_enabled": false, "followers_count": 2485, "protected": false, "friends_count": 2495, "location": "Working at Home", "name": "Johnathan Thomas", "verified": false, "profile_background_color": "131516", "profile_image_url": "http://a1.twimg.com/profile_images/600114776/nessykalvo421_normal.jpg", "id": 100439873, "utc_offset": -28800, "favourites_count": 0 }, "in_reply_to_screen_name": null, "id": 16477056501, "contributors": null, "truncated": false } *This is the raw string (above it beautified) * {"in_reply_to_status_id":null,"text":"Home-plate umpire Crawford gets stung http://tinyurl.com/27ujc86","favorited":false,"coordinates":null,"in_reply_to_user_id":null,"source":"<a href=\"http://apiwiki.twitter.com/\" rel=\"nofollow\">API</a>","geo":null,"created_at":"Fri Jun 18 15:12:06 +0000 2010","place":null,"user":{"profile_text_color":"333333","screen_name":"HostingViral","time_zone":"Pacific Time (US & Canada)","url":"http://bit.ly/1Way7P","profile_link_color":"228235","profile_background_image_url":"http://s.twimg.com/a/1276654401/images/themes/theme14/bg.gif","description":"Full time Internet Marketer - Helping other reach their Goals\r\nhttp://wavemarker.com","statuses_count":1944,"profile_sidebar_fill_color":"c7b7c7","profile_background_tile":true,"contributors_enabled":false,"lang":"en","notifications":null,"created_at":"Wed Dec 30 07:50:52 +0000 2009","profile_sidebar_border_color":"120412","following":null,"geo_enabled":false,"followers_count":2485,"protected":false,"friends_count":2495,"location":"Working at Home","name":"Johnathan Thomas","verified":false,"profile_background_color":"131516","profile_image_url":"http://a1.twimg.com/profile_images/600114776/nessykalvo421_normal.jpg","id":100439873,"utc_offset":-28800,"favourites_count":0},"in_reply_to_screen_name":null,"id":16477056501,"contributors":null,"truncated":false} I've tried multiple JSON parsers from json.org though I've tried 4 now and can't find one which can parse above json. Kind regards, Pollux

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  • MS Outlook Voting mismatch

    - by Robert Ilbrink
    I did send out an Outlook vote to hundreds of employees, using their email address (which is mostly [email protected], but there are many exceptions). The incoming votes are not matched against the email address, but against the display name. Unfortunately, the display name has no real standard either. So instead of seeing this: [email protected] Voted: Yes [email protected] Voted: No I see this: [email protected] [email protected] Doe, Johnathan Philip Voted: Yes Doe - Peeters, Marian Voted: No In the actual list I see the addresses that I sent the vote to PLUS extra lines with the votes that came back. Is there a quick way to match my "send" list with the "received" list? One thing I thought of was to dump the global address book in a file and in Excel use =vlookup. But that seems a lot of work (and I am not even sure that I have the authorization to dump the address book).

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  • Why Ultra-Low Power Computing Will Change Everything

    - by Tori Wieldt
    The ARM TechCon keynote "Why Ultra-Low Power Computing Will Change Everything" was anything but low-powered. The speaker, Dr. Johnathan Koomey, knows his subject: he is a Consulting Professor at Stanford University, worked for more than two decades at Lawrence Berkeley National Laboratory, and has been a visiting professor at Stanford University, Yale University, and UC Berkeley's Energy and Resources Group. His current focus is creating a standard (computations per kilowatt hour) and measuring computer energy consumption over time. The trends are impressive: energy consumption has halved every 1.5 years for the last 60 years. Battery life has made roughly a 10x improvement each decade since 1960. It's these improvements that have made laptops and cell phones possible. What does the future hold? Dr. Koomey said that in the past, the race by chip manufacturers was to create the fastest computer, but the priorities have now changed. New computers are tiny, smart, connected and cheap. "You can't underestimate the importance of a shift in industry focus from raw performance to power efficiency for mobile devices," he said. There is also a confluence of trends in computing, communications, sensors, and controls. The challenge is how to reduce the power requirements for these tiny devices. Alternate sources of power that are being explored are light, heat, motion, and even blood sugar. The University of Michigan has produced a miniature sensor that harnesses solar energy and could last for years without needing to be replaced. Also, the University of Washington has created a sensor that scavenges power from existing radio and TV signals.Specific devices designed for a purpose are much more efficient than general purpose computers. With all these sensors, instead of big data, developers should focus on nano-data, personalized information that will adjust the lights in a room, a machine, a variable sign, etc.Dr. Koomey showed some examples:The Proteus Digital Health Feedback System, an ingestible sensor that transmits when a patient has taken their medicine and is powered by their stomach juices. (Gives "powered by you" a whole new meaning!) Streetline Parking Systems, that provide real-time data about available parking spaces. The information can be sent to your phone or update parking signs around the city to point to areas with available spaces. Less driving around looking for parking spaces!The BigBelly trash system that uses solar power, compacts trash, and sends a text message when it is full. This dramatically reduces the number of times a truck has to come to pick up trash, freeing up resources and slashing fuel costs. This is a classic example of the efficiency of moving "bits not atoms." But researchers are approaching the physical limits of sensors, Dr. Kommey explained. With the current rate of technology improvement, they'll reach the three-atom transistor by 2041. Once they hit that wall, it will force a revolution they way we do computing. But wait, researchers at Purdue University and the University of New South Wales are both working on a reliable one-atom transistors! Other researchers are working on "approximate computing" that will reduce computing requirements drastically. So it's unclear where the wall actually is. In the meantime, as Dr. Koomey promised, ultra-low power computing will change everything.

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  • Python sorting list of dictionaries by multiple keys

    - by simi
    I have a list of dicts: b = [{u'TOT_PTS_Misc': u'Utley, Alex', u'Total_Points': 96.0}, {u'TOT_PTS_Misc': u'Russo, Brandon', u'Total_Points': 96.0}, {u'TOT_PTS_Misc': u'Chappell, Justin', u'Total_Points': 96.0}, {u'TOT_PTS_Misc': u'Foster, Toney', u'Total_Points': 80.0}, {u'TOT_PTS_Misc': u'Lawson, Roman', u'Total_Points': 80.0}, {u'TOT_PTS_Misc': u'Lempke, Sam', u'Total_Points': 80.0}, {u'TOT_PTS_Misc': u'Gnezda, Alex', u'Total_Points': 78.0}, {u'TOT_PTS_Misc': u'Kirks, Damien', u'Total_Points': 78.0}, {u'TOT_PTS_Misc': u'Worden, Tom', u'Total_Points': 78.0}, {u'TOT_PTS_Misc': u'Korecz, Mike', u'Total_Points': 78.0}, {u'TOT_PTS_Misc': u'Swartz, Brian', u'Total_Points': 66.0}, {u'TOT_PTS_Misc': u'Burgess, Randy', u'Total_Points': 66.0}, {u'TOT_PTS_Misc': u'Smugala, Ryan', u'Total_Points': 66.0}, {u'TOT_PTS_Misc': u'Harmon, Gary', u'Total_Points': 66.0}, {u'TOT_PTS_Misc': u'Blasinsky, Scott', u'Total_Points': 60.0}, {u'TOT_PTS_Misc': u'Carter III, Laymon', u'Total_Points': 60.0}, {u'TOT_PTS_Misc': u'Coleman, Johnathan', u'Total_Points': 60.0}, {u'TOT_PTS_Misc': u'Venditti, Nick', u'Total_Points': 60.0}, {u'TOT_PTS_Misc': u'Blackwell, Devon', u'Total_Points': 60.0}, {u'TOT_PTS_Misc': u'Kovach, Alex', u'Total_Points': 60.0}, {u'TOT_PTS_Misc': u'Bolden, Antonio', u'Total_Points': 60.0}, {u'TOT_PTS_Misc': u'Smith, Ryan', u'Total_Points': 60.0}] and I need to use a multi key sort reversed by Total_Points, then not reversed by TOT_PTS_Misc. This can be done at the command prompt like so: a = sorted(b, key=lambda d: (-d['Total_Points'], d['TOT_PTS_Misc'])) But I have to run this through a function, where I pass in the list and the sort keys. For example, def multikeysort(dict_list, sortkeys):. How can the lambda line be used which will sort the list, for an arbitrary number of keys that are passed in to the multikeysort function, and take into consideration that the sortkeys may have any number of keys and those that need reversed sorts will be identified with a '-' before it?

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  • Populate Multiple PDFs

    - by gmcalab
    I am using itextsharp to populate my PDFs. I have no issues with this. Basically what I am doing is getting the PDF and populating the fields in memory then passing back the MemoryStream to be displayed on a webpage. All this is working with a single document PDF. What I am trying to figure out now, is merging multiple PDFs into one MemoryStream. The part I cant figure out is, the documents I am populating are identical. So for example, I have a List<Person> that contains 5 persons. I want to fill out a PDF for each person and merge them all into one, in memory. Bare in mind I am going to fill out the same type of document for each person. The problem I am getting is that when I try to add a second copy of the same PDF to be filled out for the second iteration, it just overwrites the first populated PDF, since it's the same document, therefore not adding a second copy for the second Person at all. So basically if I had the 5 people, I would end up with a single page with the data of the 5th person, instead of a PDF with 5 like pages that contain the data of each person respectively. Here's some code... MemoryStream ms = ms = new MemoryStream(); PdfReader docReader = null; PdfStamper Stamper = null; List<Person> persons = new List<Person>() { new Person("Larry", "David"), new Person("Dustin", "Byfuglien"), new Person("Patrick", "Kane"), new Person("Johnathan", "Toews"), new Person("Marian", "Hossa") }; try { // Iterate thru all persons and populate a PDF for each foreach(var person in persons){ PdfCopyFields Copier = new PdfCopyFields(ms); Copier.AddDocument(GetReader("Person.pdf")); Copier.Close(); docReader = new PdfReader(ms.ToArray()); Stamper = new PdfStamper(docReader, ms); AcroFields Fields = Stamper.AcroFields; Fields.SetField("FirstName", person.FirstName); } }catch(Exception e){ // handle error }finally{ if (Stamper != null) { Stamper.Close(); } if (docReader != null) { docReader.Close(); } }

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