Search Results

Search found 9132 results on 366 pages for 'convert'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 17/366 | < Previous Page | 13 14 15 16 17 18 19 20 21 22 23 24  | Next Page >

  • Desktop VB.NET <> C# converter

    - by Sphynx
    I've been using the Developer Fusion's tool for converting code snippets, and now I'm looking for a quality tool to convert entire projects between those languages, with minimum errors. Is there any good one available?

    Read the article

  • Translate from C# to VB

    - by Congero
    How do you convert the following c# code to vb.net? private static readonly ICollection<string> _skipHeaders = new[] { "Connection", "Keep-Alive", "Accept", "Host", "User-Agent", "Content-Length", "Content-Type", "Accept-Encoding", "Authorization", "Referer", ProxyMethodHeader, ProxyAuthorizationHeader, ProxyAcceptHeader, ProxyAgentHeader, ProxyQueryHeader };

    Read the article

  • [PHP] Check Valid date type

    - by yukou
    may be this question had been asked, I've searched but still not confident about my problem.. my problem is checking valid date from string $a='23-June-11'; //valid $b='Normal String';//invalid I want to convert $a and $b using strtotime() before I do that, of course i want to validate whether $a or $b is a valid date format From $a i can get 23, 11 using explode function, but how about 'June'? using function above, 'June' is not numeric

    Read the article

  • We Convert your PSD into Xhtml

    - by Aditi
    From last few months we have been receiving a lot of inquires for  Psd into Xhtml projects, while we were majorly focusing on custom WordPress, Magento, Drupal & Joomla Projects. Now we are offering PSD into Xhtml/CSS service at an affordable price looking at its demand. We also will cater PSD into any CMS, like wordpress, Drupal, Magento or Joomla. Our custom services will continue as it is. It is very convenient to get your design converted by our Xhtml & CSS experts. We assure 24 hour delivery time. At JustSkins, we have a structured conversion model that works well for any kind of potentially enriched web business solution. Our customized slicing guidelines, besides, W3C approved XHTML and CSS code naming conventions makes us stand distinct from the competitors. Why Should You Let us do it for you? W3C Compliant HTML/XHTML and CSS Codes Well Structured and Written Code. Clean and Hand Coded Mark up no use of WYSIWYG. We offer Fast turn around timeDesign converted into Xhtml/CSS just in one business day. Multi- Browser Accessible Websites Cross-Platform Support. Excellent Customer Service. Affordable We at JustSkins are team of efficient programmers with vast experience in templating for   content management systems (CMS),  Joomla, Drupal, WordPress and other Open Source technologies. Contact us today for your requirement!

    Read the article

  • Convert Your Car’s Ashtray to a Smartphone Dock

    - by Jason Fitzpatrick
    Envious of modern cars that have built-in iPhone chargers and the like? Be jealous no more; this simple DIY tutorial guides you through converting the ashtray in your older ride into a smartphone dock. Thanks to the work of Jason Torchinsky over at Jalopnik, you’ll have no trouble upgrading that ashtray (or any other small pull out compartment) into a dock for your smartphone or MP3 player. Although the car they use is from the 1970s, most cars built even in the last 10 years still have an ashtray or ashtray-like compartment you could use to follow along. Hit up the link below to read more about the project. How To Turn Your Cars Ashtray Into A Smartphone Dock [Jalopnik] HTG Explains: Is ReadyBoost Worth Using? HTG Explains: What The Windows Event Viewer Is and How You Can Use It HTG Explains: How Windows Uses The Task Scheduler for System Tasks

    Read the article

  • Tool to convert blogger.com content to dasBlog

    - by Daniel Moth
    Due to blogger.com dropping FTP support, I've had to move my blog. If you are in a similar situation, this post will help you by showing you the necessary steps to take. Goals No loss on blog posts, comments AND all existing permalinks continue to work (redirect to the correct place). Steps Download the XML files corresponding to your blogger.com content and store them in a folder. Install and configure dasBlog on your local machine. Configure your web.config file (will need updating once you run step 4). Use the tool I describe further down to generate the content and place it at the right place. Test your site locally. Once you are happy, repeat step 2 on your hosting provider of choice. Remember to copy up your dasBlog theme folder if you created one. Copy up the local web.config file and the XML dasBlog content files generated by the tool of step 4. Test your site on the server. Once you are happy, go live (following instructions from your hoster). In my case, I gave the nameservers from my new hoster to my existing domain registrar and they made the switch. Tool (code) At step 4 above I referred to a tool. That is an overstatement, it is simply one 450-line C#code file that you can download here: BloggerToDasBlog.cs. I used this from a .NET 2.0 console app (and I run it under the Visual Studio debugger, i.e. F5) like this: Program.cs. The console app referenced the dasBlog 2.3 ASP.NET Blogging Engine i.e. the newtelligence.DasBlog.Runtime.dll assembly. Let me describe what the code does: Input: A path to a folder where the XML files from the old blogger.com blog reside. It can deal with both types of XML file. A full file path to a file where it creates XML redirect input (as required by the rewriteMap mentioned here). The blog URL. The author's email. The blog author name. A path to an empty folder where the new XML dasBlog content files will get created. The subfolder name used after the domain name in the URL. The 3 reg ex patterns to use. You can use the same as mine, but will need to tweak the monthly_archive rule. Again, to see what values I passed for all the above, see my Program.cs file. Output: It creates dasBlog XML files in the folder specified. It creates those by parsing the old blogger.com XML files that reside in the folder specified. After that is generated, copy it to the "Content" folder under your dasBlog installation. It creates an XML file with a single ignorable root element and a bunch of inner XML elements. You can copy paste these in the web.config file as discussed in this post. Other notes: For each blog post, it detects outgoing links to itself (i.e. to the same blog), and rewrites those to point to the new URLs. So internal links do not rely on the web.config redirects. It deals with duplicate post titles; it does not deal with triplicates and higher. Removes all references to blogger.com (e.g. references to [email protected], the injected hidden footer for statistics that each blog post has and others – see the code). It creates a lot of diagnostic output (in the Output window) and indeed the documentation for the code is in the Debug.WriteLine statements ;) This is not code I will maintain or support – it was a throwaway one-use project that I am sharing here as a starting point for anyone finding themselves in the same boat that I was. Enjoy "as is". Comments about this post welcome at the original blog.

    Read the article

  • Tool to convert blogger.com content to dasBlog

    Due to blogger.com dropping FTP support, I've had to move my blog. If you are in a similar situation, this post will help you by showing you the necessary steps to take. Goals No loss on blog posts, comments AND all existing permalinks continue to work (redirect to the correct place). Steps Download the XML files corresponding to your blogger.com content and store them in a folder. Install and configure dasBlog on your local machine. Configure your web.config file (will need updating...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

    Read the article

  • Convert a Door Peephole Viewer into a Fisheye Camera Lens

    - by Jason Fitzpatrick
    Commercial fish eye lenses are a niche product and carry a hefty price tag; if you’re looking to goof around with fish eye photography on the cheap, this $6 tutorial is for you. Courtesy of Dave from Knobtop–a thrifty DIY photography video blog–this hack uses dirt cheap parts (the whole build is composed of a PVC pipe reducer and a door peephole lens) to bring you fun fish eye photography on a budget. Check out the video above to see the build and the results, then hit up the link below to check out the notes on the video for more information. Fisheye Lens for $6 [via DIY Photography] HTG Explains: What Is Two-Factor Authentication and Should I Be Using It? HTG Explains: What Is Windows RT and What Does It Mean To Me? HTG Explains: How Windows 8′s Secure Boot Feature Works & What It Means for Linux

    Read the article

  • Convert your Hash keys to object properties in Ruby

    - by kerry
    Being a Ruby noob (and having a background in Groovy), I was a little surprised that you can not access hash objects using the dot notation.  I am writing an application that relies heavily on XML and JSON data.  This data will need to be displayed and I would rather use book.author.first_name over book[‘author’][‘first_name’].  A quick search on google yielded this post on the subject. So, taking the DRYOO (Don’t Repeat Yourself Or Others) concept.  I came up with this: 1: class ::Hash 2:  3: # add keys to hash 4: def to_obj 5: self.each do |k,v| 6: if v.kind_of? Hash 7: v.to_obj 8: end 9: k=k.gsub(/\.|\s|-|\/|\'/, '_').downcase.to_sym 10: self.instance_variable_set("@#{k}", v) ## create and initialize an instance variable for this key/value pair 11: self.class.send(:define_method, k, proc{self.instance_variable_get("@#{k}")}) ## create the getter that returns the instance variable 12: self.class.send(:define_method, "#{k}=", proc{|v| self.instance_variable_set("@#{k}", v)}) ## create the setter that sets the instance variable 13: end 14: return self 15: end 16: end This works pretty well.  It converts each of your keys to properties of the Hash.  However, it doesn’t sit very well with me because I probably will not use 90% of the properties most of the time.  Why should I go through the performance overhead of creating instance variables for all of the unused ones? Enter the ‘magic method’ #missing_method: 1: class ::Hash 2: def method_missing(name) 3: return self[name] if key? name 4: self.each { |k,v| return v if k.to_s.to_sym == name } 5: super.method_missing name 6: end 7: end This is a much cleaner method for my purposes.  Quite simply, it checks to see if there is a key with the given symbol, and if not, loop through the keys and attempt to find one. I am a Ruby noob, so if there is something I am overlooking, please let me know.

    Read the article

  • How to Convert Your Nice Designs to Wordpress

    If you already spent ample time on the net, you have probably heard about WordPress before. It is an easy to use blog platform that also seconds as a fully competent content management system all ove... [Author: Kewin Alexander - Web Design and Development - April 12, 2010]

    Read the article

  • Convert from Procedural to Object Oriented Code

    - by Anthony
    I have been reading Working Effectively with Legacy Code and Clean Code with the goal of learning strategies on how to begin cleaning up the existing code-base of a large ASP.NET webforms application. This system has been around since 2005 and since then has undergone a number of enhancements. Originally the code was structured as follows (and is still largely structured this way): ASP.NET (aspx/ascx) Code-behind (c#) Business Logic Layer (c#) Data Access Layer (c#) Database (Oracle) The main issue is that the code is procedural masquerading as object-oriented. It virtually violates all of the guidelines described in both books. This is an example of a typical class in the Business Logic Layer: public class AddressBO { public TransferObject GetAddress(string addressID) { if (StringUtils.IsNull(addressID)) { throw new ValidationException("Address ID must be entered"); } AddressDAO addressDAO = new AddressDAO(); return addressDAO.GetAddress(addressID); } public TransferObject Insert(TransferObject addressDetails) { if (StringUtils.IsNull(addressDetails.GetString("EVENT_ID")) || StringUtils.IsNull(addressDetails.GetString("LOCALITY")) || StringUtils.IsNull(addressDetails.GetString("ADDRESS_TARGET")) || StringUtils.IsNull(addressDetails.GetString("ADDRESS_TYPE_CODE")) || StringUtils.IsNull(addressDetails.GetString("CREATED_BY"))) { throw new ValidationException( "You must enter an Event ID, Locality, Address Target, Address Type Code and Created By."); } string addressID = Sequence.GetNextValue("ADDRESS_ID_SEQ"); addressDetails.SetValue("ADDRESS_ID", addressID); string syncID = Sequence.GetNextValue("SYNC_ID_SEQ"); addressDetails.SetValue("SYNC_ADDRESS_ID", syncID); TransferObject syncDetails = new TransferObject(); Transaction transaction = new Transaction(); try { AddressDAO addressDAO = new AddressDAO(); addressDAO.Insert(addressDetails, transaction); // insert the record for the target TransferObject addressTargetDetails = new TransferObject(); switch (addressDetails.GetString("ADDRESS_TARGET")) { case "PARTY_ADDRESSES": { addressTargetDetails.SetValue("ADDRESS_ID", addressID); addressTargetDetails.SetValue("ADDRESS_TYPE_CODE", addressDetails.GetString("ADDRESS_TYPE_CODE")); addressTargetDetails.SetValue("PARTY_ID", addressDetails.GetString("PARTY_ID")); addressTargetDetails.SetValue("EVENT_ID", addressDetails.GetString("EVENT_ID")); addressTargetDetails.SetValue("CREATED_BY", addressDetails.GetString("CREATED_BY")); addressDAO.InsertPartyAddress(addressTargetDetails, transaction); break; } case "PARTY_CONTACT_ADDRESSES": { addressTargetDetails.SetValue("ADDRESS_ID", addressID); addressTargetDetails.SetValue("ADDRESS_TYPE_CODE", addressDetails.GetString("ADDRESS_TYPE_CODE")); addressTargetDetails.SetValue("PUBLIC_RELEASE_FLAG", addressDetails.GetString("PUBLIC_RELEASE_FLAG")); addressTargetDetails.SetValue("CONTACT_ID", addressDetails.GetString("CONTACT_ID")); addressTargetDetails.SetValue("EVENT_ID", addressDetails.GetString("EVENT_ID")); addressTargetDetails.SetValue("CREATED_BY", addressDetails.GetString("CREATED_BY")); addressDAO.InsertContactAddress(addressTargetDetails, transaction); break; } << many more cases here >> default: { break; } } // synchronise SynchronisationBO synchronisationBO = new SynchronisationBO(); syncDetails = synchronisationBO.Synchronise("I", transaction, "ADDRESSES", addressDetails.GetString("ADDRESS_TARGET"), addressDetails, addressTargetDetails); // commit transaction.Commit(); } catch (Exception) { transaction.Rollback(); throw; } return new TransferObject("ADDRESS_ID", addressID, "SYNC_DETAILS", syncDetails); } << many more methods are here >> } It has a lot of duplication, the class has a number of responsibilities, etc, etc - it is just generally 'un-clean' code. All of the code throughout the system is dependent on concrete implementations. This is an example of a typical class in the Data Access Layer: public class AddressDAO : GenericDAO { public static readonly string BASE_SQL_ADDRESSES = "SELECT " + " a.address_id, " + " a.event_id, " + " a.flat_unit_type_code, " + " fut.description as flat_unit_description, " + " a.flat_unit_num, " + " a.floor_level_code, " + " fl.description as floor_level_description, " + " a.floor_level_num, " + " a.building_name, " + " a.lot_number, " + " a.street_number, " + " a.street_name, " + " a.street_type_code, " + " st.description as street_type_description, " + " a.street_suffix_code, " + " ss.description as street_suffix_description, " + " a.postal_delivery_type_code, " + " pdt.description as postal_delivery_description, " + " a.postal_delivery_num, " + " a.locality, " + " a.state_code, " + " s.description as state_description, " + " a.postcode, " + " a.country, " + " a.lock_num, " + " a.created_by, " + " TO_CHAR(a.created_datetime, '" + SQL_DATETIME_FORMAT + "') as created_datetime, " + " a.last_updated_by, " + " TO_CHAR(a.last_updated_datetime, '" + SQL_DATETIME_FORMAT + "') as last_updated_datetime, " + " a.sync_address_id, " + " a.lat," + " a.lon, " + " a.validation_confidence, " + " a.validation_quality, " + " a.validation_status " + "FROM ADDRESSES a, FLAT_UNIT_TYPES fut, FLOOR_LEVELS fl, STREET_TYPES st, " + " STREET_SUFFIXES ss, POSTAL_DELIVERY_TYPES pdt, STATES s " + "WHERE a.flat_unit_type_code = fut.flat_unit_type_code(+) " + "AND a.floor_level_code = fl.floor_level_code(+) " + "AND a.street_type_code = st.street_type_code(+) " + "AND a.street_suffix_code = ss.street_suffix_code(+) " + "AND a.postal_delivery_type_code = pdt.postal_delivery_type_code(+) " + "AND a.state_code = s.state_code(+) "; public TransferObject GetAddress(string addressID) { //Build the SELECT Statement StringBuilder selectStatement = new StringBuilder(BASE_SQL_ADDRESSES); //Add WHERE condition selectStatement.Append(" AND a.address_id = :addressID"); ArrayList parameters = new ArrayList{DBUtils.CreateOracleParameter("addressID", OracleDbType.Decimal, addressID)}; // Execute the SELECT statement Query query = new Query(); DataSet results = query.Execute(selectStatement.ToString(), parameters); // Check if 0 or more than one rows returned if (results.Tables[0].Rows.Count == 0) { throw new NoDataFoundException(); } if (results.Tables[0].Rows.Count > 1) { throw new TooManyRowsException(); } // Return a TransferObject containing the values return new TransferObject(results); } public void Insert(TransferObject insertValues, Transaction transaction) { // Store Values string addressID = insertValues.GetString("ADDRESS_ID"); string syncAddressID = insertValues.GetString("SYNC_ADDRESS_ID"); string eventID = insertValues.GetString("EVENT_ID"); string createdBy = insertValues.GetString("CREATED_BY"); // postal delivery string postalDeliveryTypeCode = insertValues.GetString("POSTAL_DELIVERY_TYPE_CODE"); string postalDeliveryNum = insertValues.GetString("POSTAL_DELIVERY_NUM"); // unit/building string flatUnitTypeCode = insertValues.GetString("FLAT_UNIT_TYPE_CODE"); string flatUnitNum = insertValues.GetString("FLAT_UNIT_NUM"); string floorLevelCode = insertValues.GetString("FLOOR_LEVEL_CODE"); string floorLevelNum = insertValues.GetString("FLOOR_LEVEL_NUM"); string buildingName = insertValues.GetString("BUILDING_NAME"); // street string lotNumber = insertValues.GetString("LOT_NUMBER"); string streetNumber = insertValues.GetString("STREET_NUMBER"); string streetName = insertValues.GetString("STREET_NAME"); string streetTypeCode = insertValues.GetString("STREET_TYPE_CODE"); string streetSuffixCode = insertValues.GetString("STREET_SUFFIX_CODE"); // locality/state/postcode/country string locality = insertValues.GetString("LOCALITY"); string stateCode = insertValues.GetString("STATE_CODE"); string postcode = insertValues.GetString("POSTCODE"); string country = insertValues.GetString("COUNTRY"); // esms address string esmsAddress = insertValues.GetString("ESMS_ADDRESS"); //address/GPS string lat = insertValues.GetString("LAT"); string lon = insertValues.GetString("LON"); string zoom = insertValues.GetString("ZOOM"); //string validateDate = insertValues.GetString("VALIDATED_DATE"); string validatedBy = insertValues.GetString("VALIDATED_BY"); string confidence = insertValues.GetString("VALIDATION_CONFIDENCE"); string status = insertValues.GetString("VALIDATION_STATUS"); string quality = insertValues.GetString("VALIDATION_QUALITY"); // the insert statement StringBuilder insertStatement = new StringBuilder("INSERT INTO ADDRESSES ("); StringBuilder valuesStatement = new StringBuilder("VALUES ("); ArrayList parameters = new ArrayList(); // build the insert statement insertStatement.Append("ADDRESS_ID, EVENT_ID, CREATED_BY, CREATED_DATETIME, LOCK_NUM "); valuesStatement.Append(":addressID, :eventID, :createdBy, SYSDATE, 1 "); parameters.Add(DBUtils.CreateOracleParameter("addressID", OracleDbType.Decimal, addressID)); parameters.Add(DBUtils.CreateOracleParameter("eventID", OracleDbType.Decimal, eventID)); parameters.Add(DBUtils.CreateOracleParameter("createdBy", OracleDbType.Varchar2, createdBy)); // build the insert statement if (!StringUtils.IsNull(syncAddressID)) { insertStatement.Append(", SYNC_ADDRESS_ID"); valuesStatement.Append(", :syncAddressID"); parameters.Add(DBUtils.CreateOracleParameter("syncAddressID", OracleDbType.Decimal, syncAddressID)); } if (!StringUtils.IsNull(postalDeliveryTypeCode)) { insertStatement.Append(", POSTAL_DELIVERY_TYPE_CODE"); valuesStatement.Append(", :postalDeliveryTypeCode "); parameters.Add(DBUtils.CreateOracleParameter("postalDeliveryTypeCode", OracleDbType.Varchar2, postalDeliveryTypeCode)); } if (!StringUtils.IsNull(postalDeliveryNum)) { insertStatement.Append(", POSTAL_DELIVERY_NUM"); valuesStatement.Append(", :postalDeliveryNum "); parameters.Add(DBUtils.CreateOracleParameter("postalDeliveryNum", OracleDbType.Varchar2, postalDeliveryNum)); } if (!StringUtils.IsNull(flatUnitTypeCode)) { insertStatement.Append(", FLAT_UNIT_TYPE_CODE"); valuesStatement.Append(", :flatUnitTypeCode "); parameters.Add(DBUtils.CreateOracleParameter("flatUnitTypeCode", OracleDbType.Varchar2, flatUnitTypeCode)); } if (!StringUtils.IsNull(lat)) { insertStatement.Append(", LAT"); valuesStatement.Append(", :lat "); parameters.Add(DBUtils.CreateOracleParameter("lat", OracleDbType.Decimal, lat)); } if (!StringUtils.IsNull(lon)) { insertStatement.Append(", LON"); valuesStatement.Append(", :lon "); parameters.Add(DBUtils.CreateOracleParameter("lon", OracleDbType.Decimal, lon)); } if (!StringUtils.IsNull(zoom)) { insertStatement.Append(", ZOOM"); valuesStatement.Append(", :zoom "); parameters.Add(DBUtils.CreateOracleParameter("zoom", OracleDbType.Decimal, zoom)); } if (!StringUtils.IsNull(flatUnitNum)) { insertStatement.Append(", FLAT_UNIT_NUM"); valuesStatement.Append(", :flatUnitNum "); parameters.Add(DBUtils.CreateOracleParameter("flatUnitNum", OracleDbType.Varchar2, flatUnitNum)); } if (!StringUtils.IsNull(floorLevelCode)) { insertStatement.Append(", FLOOR_LEVEL_CODE"); valuesStatement.Append(", :floorLevelCode "); parameters.Add(DBUtils.CreateOracleParameter("floorLevelCode", OracleDbType.Varchar2, floorLevelCode)); } if (!StringUtils.IsNull(floorLevelNum)) { insertStatement.Append(", FLOOR_LEVEL_NUM"); valuesStatement.Append(", :floorLevelNum "); parameters.Add(DBUtils.CreateOracleParameter("floorLevelNum", OracleDbType.Varchar2, floorLevelNum)); } if (!StringUtils.IsNull(buildingName)) { insertStatement.Append(", BUILDING_NAME"); valuesStatement.Append(", :buildingName "); parameters.Add(DBUtils.CreateOracleParameter("buildingName", OracleDbType.Varchar2, buildingName)); } if (!StringUtils.IsNull(lotNumber)) { insertStatement.Append(", LOT_NUMBER"); valuesStatement.Append(", :lotNumber "); parameters.Add(DBUtils.CreateOracleParameter("lotNumber", OracleDbType.Varchar2, lotNumber)); } if (!StringUtils.IsNull(streetNumber)) { insertStatement.Append(", STREET_NUMBER"); valuesStatement.Append(", :streetNumber "); parameters.Add(DBUtils.CreateOracleParameter("streetNumber", OracleDbType.Varchar2, streetNumber)); } if (!StringUtils.IsNull(streetName)) { insertStatement.Append(", STREET_NAME"); valuesStatement.Append(", :streetName "); parameters.Add(DBUtils.CreateOracleParameter("streetName", OracleDbType.Varchar2, streetName)); } if (!StringUtils.IsNull(streetTypeCode)) { insertStatement.Append(", STREET_TYPE_CODE"); valuesStatement.Append(", :streetTypeCode "); parameters.Add(DBUtils.CreateOracleParameter("streetTypeCode", OracleDbType.Varchar2, streetTypeCode)); } if (!StringUtils.IsNull(streetSuffixCode)) { insertStatement.Append(", STREET_SUFFIX_CODE"); valuesStatement.Append(", :streetSuffixCode "); parameters.Add(DBUtils.CreateOracleParameter("streetSuffixCode", OracleDbType.Varchar2, streetSuffixCode)); } if (!StringUtils.IsNull(locality)) { insertStatement.Append(", LOCALITY"); valuesStatement.Append(", :locality"); parameters.Add(DBUtils.CreateOracleParameter("locality", OracleDbType.Varchar2, locality)); } if (!StringUtils.IsNull(stateCode)) { insertStatement.Append(", STATE_CODE"); valuesStatement.Append(", :stateCode"); parameters.Add(DBUtils.CreateOracleParameter("stateCode", OracleDbType.Varchar2, stateCode)); } if (!StringUtils.IsNull(postcode)) { insertStatement.Append(", POSTCODE"); valuesStatement.Append(", :postcode "); parameters.Add(DBUtils.CreateOracleParameter("postcode", OracleDbType.Varchar2, postcode)); } if (!StringUtils.IsNull(country)) { insertStatement.Append(", COUNTRY"); valuesStatement.Append(", :country "); parameters.Add(DBUtils.CreateOracleParameter("country", OracleDbType.Varchar2, country)); } if (!StringUtils.IsNull(esmsAddress)) { insertStatement.Append(", ESMS_ADDRESS"); valuesStatement.Append(", :esmsAddress "); parameters.Add(DBUtils.CreateOracleParameter("esmsAddress", OracleDbType.Varchar2, esmsAddress)); } if (!StringUtils.IsNull(validatedBy)) { insertStatement.Append(", VALIDATED_DATE"); valuesStatement.Append(", SYSDATE "); insertStatement.Append(", VALIDATED_BY"); valuesStatement.Append(", :validatedBy "); parameters.Add(DBUtils.CreateOracleParameter("validatedBy", OracleDbType.Varchar2, validatedBy)); } if (!StringUtils.IsNull(confidence)) { insertStatement.Append(", VALIDATION_CONFIDENCE"); valuesStatement.Append(", :confidence "); parameters.Add(DBUtils.CreateOracleParameter("confidence", OracleDbType.Decimal, confidence)); } if (!StringUtils.IsNull(status)) { insertStatement.Append(", VALIDATION_STATUS"); valuesStatement.Append(", :status "); parameters.Add(DBUtils.CreateOracleParameter("status", OracleDbType.Varchar2, status)); } if (!StringUtils.IsNull(quality)) { insertStatement.Append(", VALIDATION_QUALITY"); valuesStatement.Append(", :quality "); parameters.Add(DBUtils.CreateOracleParameter("quality", OracleDbType.Decimal, quality)); } // finish off the statement insertStatement.Append(") "); valuesStatement.Append(")"); // build the insert statement string sql = insertStatement + valuesStatement.ToString(); // Execute the INSERT Statement Dml dmlDAO = new Dml(); int rowsAffected = dmlDAO.Execute(sql, transaction, parameters); if (rowsAffected == 0) { throw new NoRowsAffectedException(); } } << many more methods go here >> } This system was developed by me and a small team back in 2005 after a 1 week .NET course. Before than my experience was in client-server applications. Over the past 5 years I've come to recognise the benefits of automated unit testing, automated integration testing and automated acceptance testing (using Selenium or equivalent) but the current code-base seems impossible to introduce these concepts. We are now starting to work on a major enhancement project with tight time-frames. The team consists of 5 .NET developers - 2 developers with a few years of .NET experience and 3 others with little or no .NET experience. None of the team (including myself) has experience in using .NET unit testing or mocking frameworks. What strategy would you use to make this code cleaner, more object-oriented, testable and maintainable?

    Read the article

  • How to Convert an MP4 Video into an MP3 Audio File

    - by Erez Zukerman
    MP4 is a widely-used video format; you can grab MP4 files off YouTube, Vimeo, and many other online video websites. But what if you have a video of a song you love, and want to extract just the music? Read on to see two different ways to do just that. Latest Features How-To Geek ETC Have You Ever Wondered How Your Operating System Got Its Name? Should You Delete Windows 7 Service Pack Backup Files to Save Space? What Can Super Mario Teach Us About Graphics Technology? Windows 7 Service Pack 1 is Released: But Should You Install It? How To Make Hundreds of Complex Photo Edits in Seconds With Photoshop Actions How to Enable User-Specific Wireless Networks in Windows 7 Dim an Overly Bright Alarm Clock with a Binder Divider Preliminary List of Keyboard Shortcuts for Unity Now Available Bring a Touch of the Wild West to Your Desktop with the Rango Theme for Windows 7 Manage Your Favorite Social Accounts in Chrome and Iron with Seesmic E.T. II – Extinction [Fake Movie Sequel Video] Remastered King’s Quest Games Offer Classic Gaming on Modern Machines

    Read the article

  • Best way to convert existing project to be open source in GitHub

    - by Tom
    I've been working on a personal closed source project for some time and would like to make it open source. I've never created my own open source project before so it will be a good learning experience. I have been using GitHub as source control, so once I've written some decent docs on how to use and develop for it etc, it should be as simple as switching the repo to be public right? I guess my main question is around licencing. I was thinking of going with Apache 2.0 licence just because it seems to be widely used. It requires the licence header to be attached to all the source files, but if I do that now then all the other commits in the past will have it missing. Does that mean some one could pull an earlier version and it wouldn't have a licence? Is it best to start a new repo with the initial commit containing all the code with licence headers? Or maybe is there some advanced Git functionality that allows me to apply the licence header to all existing commits some how? Cheers.

    Read the article

  • Convert ddply {plyr} to Oracle R Enterprise, or use with Embedded R Execution

    - by Mark Hornick
    The plyr package contains a set of tools for partitioning a problem into smaller sub-problems that can be more easily processed. One function within {plyr} is ddply, which allows you to specify subsets of a data.frame and then apply a function to each subset. The result is gathered into a single data.frame. Such a capability is very convenient. The function ddply also has a parallel option that if TRUE, will apply the function in parallel, using the backend provided by foreach. This type of functionality is available through Oracle R Enterprise using the ore.groupApply function. In this blog post, we show a few examples from Sean Anderson's "A quick introduction to plyr" to illustrate the correpsonding functionality using ore.groupApply. To get started, we'll create a demo data set and load the plyr package. set.seed(1) d <- data.frame(year = rep(2000:2014, each = 3),         count = round(runif(45, 0, 20))) dim(d) library(plyr) This first example takes the data frame, partitions it by year, and calculates the coefficient of variation of the count, returning a data frame. # Example 1 res <- ddply(d, "year", function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(cv.count = cv)   }) To illustrate the equivalent functionality in Oracle R Enterprise, using embedded R execution, we use the ore.groupApply function on the same data, but pushed to the database, creating an ore.frame. The function ore.push creates a temporary table in the database, returning a proxy object, the ore.frame. D <- ore.push(d) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(year=x$year[1], cv.count = cv)   }, FUN.VALUE=data.frame(year=1, cv.count=1)) You'll notice the similarities in the first three arguments. With ore.groupApply, we augment the function to return the specific data.frame we want. We also specify the argument FUN.VALUE, which describes the resulting data.frame. From our previous blog posts, you may recall that by default, ore.groupApply returns an ore.list containing the results of each function invocation. To get a data.frame, we specify the structure of the result. The results in both cases are the same, however the ore.groupApply result is an ore.frame. In this case the data stays in the database until it's actually required. This can result in significant memory and time savings whe data is large. R> class(res) [1] "ore.frame" attr(,"package") [1] "OREbase" R> head(res)    year cv.count 1 2000 0.3984848 2 2001 0.6062178 3 2002 0.2309401 4 2003 0.5773503 5 2004 0.3069680 6 2005 0.3431743 To make the ore.groupApply execute in parallel, you can specify the argument parallel with either TRUE, to use default database parallelism, or to a specific number, which serves as a hint to the database as to how many parallel R engines should be used. The next ddply example uses the summarise function, which creates a new data.frame. In ore.groupApply, the year column is passed in with the data. Since no automatic creation of columns takes place, we explicitly set the year column in the data.frame result to the value of the first row, since all rows received by the function have the same year. # Example 2 ddply(d, "year", summarise, mean.count = mean(count)) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   data.frame(year=x$year[1], mean.count = mean.count)   }, FUN.VALUE=data.frame(year=1, mean.count=1)) R> head(res)    year mean.count 1 2000 7.666667 2 2001 13.333333 3 2002 15.000000 4 2003 3.000000 5 2004 12.333333 6 2005 14.666667 Example 3 uses the transform function with ddply, which modifies the existing data.frame. With ore.groupApply, we again construct the data.frame explicilty, which is returned as an ore.frame. # Example 3 ddply(d, "year", transform, total.count = sum(count)) res <- ore.groupApply (D, D$year, function(x) {   total.count <- sum(x$count)   data.frame(year=x$year[1], count=x$count, total.count = total.count)   }, FUN.VALUE=data.frame(year=1, count=1, total.count=1)) > head(res)    year count total.count 1 2000 5 23 2 2000 7 23 3 2000 11 23 4 2001 18 40 5 2001 4 40 6 2001 18 40 In Example 4, the mutate function with ddply enables you to define new columns that build on columns just defined. Since the construction of the data.frame using ore.groupApply is explicit, you always have complete control over when and how to use columns. # Example 4 ddply(d, "year", mutate, mu = mean(count), sigma = sd(count),       cv = sigma/mu) res <- ore.groupApply (D, D$year, function(x) {   mu <- mean(x$count)   sigma <- sd(x$count)   cv <- sigma/mu   data.frame(year=x$year[1], count=x$count, mu=mu, sigma=sigma, cv=cv)   }, FUN.VALUE=data.frame(year=1, count=1, mu=1,sigma=1,cv=1)) R> head(res)    year count mu sigma cv 1 2000 5 7.666667 3.055050 0.3984848 2 2000 7 7.666667 3.055050 0.3984848 3 2000 11 7.666667 3.055050 0.3984848 4 2001 18 13.333333 8.082904 0.6062178 5 2001 4 13.333333 8.082904 0.6062178 6 2001 18 13.333333 8.082904 0.6062178 In Example 5, ddply is used to partition data on multiple columns before constructing the result. Realizing this with ore.groupApply involves creating an index column out of the concatenation of the columns used for partitioning. This example also allows us to illustrate using the ORE transparency layer to subset the data. # Example 5 baseball.dat <- subset(baseball, year > 2000) # data from the plyr package x <- ddply(baseball.dat, c("year", "team"), summarize,            homeruns = sum(hr)) We first push the data set to the database to get an ore.frame. We then add the composite column and perform the subset, using the transparency layer. Since the results from database execution are unordered, we will explicitly sort these results and view the first 6 rows. BB.DAT <- ore.push(baseball) BB.DAT$index <- with(BB.DAT, paste(year, team, sep="+")) BB.DAT2 <- subset(BB.DAT, year > 2000) X <- ore.groupApply (BB.DAT2, BB.DAT2$index, function(x) {   data.frame(year=x$year[1], team=x$team[1], homeruns=sum(x$hr))   }, FUN.VALUE=data.frame(year=1, team="A", homeruns=1), parallel=FALSE) res <- ore.sort(X, by=c("year","team")) R> head(res)    year team homeruns 1 2001 ANA 4 2 2001 ARI 155 3 2001 ATL 63 4 2001 BAL 58 5 2001 BOS 77 6 2001 CHA 63 Our next example is derived from the ggplot function documentation. This illustrates the use of ddply within using the ggplot2 package. We first create a data.frame with demo data and use ddply to create some statistics for each group (gp). We then use ggplot to produce the graph. We can take this same code, push the data.frame df to the database and invoke this on the database server. The graph will be returned to the client window, as depicted below. # Example 6 with ggplot2 library(ggplot2) df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),                  y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Set up a skeleton ggplot object and add layers: ggplot() +   geom_point(data = df, aes(x = gp, y = y)) +   geom_point(data = ds, aes(x = gp, y = mean),              colour = 'red', size = 3) +   geom_errorbar(data = ds, aes(x = gp, y = mean,                                ymin = mean - sd, ymax = mean + sd),              colour = 'red', width = 0.4) DF <- ore.push(df) ore.tableApply(DF, function(df) {   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4) }) But let's take this one step further. Suppose we wanted to produce multiple graphs, partitioned on some index column. We replicate the data three times and add some noise to the y values, just to make the graphs a little different. We also create an index column to form our three partitions. Note that we've also specified that this should be executed in parallel, allowing Oracle Database to control and manage the server-side R engines. The result of ore.groupApply is an ore.list that contains the three graphs. Each graph can be viewed by printing the list element. df2 <- rbind(df,df,df) df2$y <- df2$y + rnorm(nrow(df2)) df2$index <- c(rep(1,300), rep(2,300), rep(3,300)) DF2 <- ore.push(df2) res <- ore.groupApply(DF2, DF2$index, function(df) {   df <- df[,1:2]   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4)   }, parallel=TRUE) res[[1]] res[[2]] res[[3]] To recap, we've illustrated how various uses of ddply from the plyr package can be realized in ore.groupApply, which affords the user explicit control over the contents of the data.frame result in a straightforward manner. We've also highlighted how ddply can be used within an ore.groupApply call.

    Read the article

  • Convert Chrome Bookmark Toolbar Folders to Icons

    - by Asian Angel
    So you have your regular bookmarks reduced to icons but what about the folders? With our little hack and a few minutes of your time you can turn those folders into icons too. Condensing the Folders Reducing bookmark folders to icons is a little more tricky than regular bookmarks but not hard to do. Right click on the folder and select “Rename…”. The folder’s name should already be highlighted/selected as shown here. Delete the text…notice that the “OK Button” has become unusable for the moment. Now what you will need to do is: Hold down the “Alt Key” Type in “0160” (without the quotes) using the numbers keypad on the right side of your keyboard Release the “Alt Key” after you have finished typing in the number above Once you have released the “Alt Key” you will notice two things…the “cursor” has moved further into the text area and you can now click on the “OK Button” again. There is our folder after editing. And it works just as well as before but without taking up so much room. Here is how our “iconized” folder looks next to our bookmarks. Perfect! What if you want to reduce multiple folders to icons? Perform the same exact steps shown above for each folder and pack your “Bookmarks Toolbar” full of folder goodness! As seen here the folders will have a little more space between them in comparison with singular bookmarks due to the “blank name” for each folder. For those who may be curious this is what your bookmarks will look like in the “Bookmark Manager Page”. Note: If you export your bookmarks all bookmarks contained in multiple blank name folders will be combined into a single folder. Conclusion With just a little bit of work you can pack a lot of goodness into your “Bookmarks Toolbar”. No more wasted space… Similar Articles Productive Geek Tips Condense the Bookmarks in the Firefox Bookmarks ToolbarAccess Your Bookmarks with a Toolbar Button in Google ChromeAdd the Bookmarks Menu to Your Bookmarks Toolbar with Bookmarks UI ConsolidatorAdd a Vertical Bookmarks Toolbar to FirefoxReduce Your Bookmarks Toolbar to a Toolbar Button TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 OutlookStatView Scans and Displays General Usage Statistics How to Add Exceptions to the Windows Firewall Office 2010 reviewed in depth by Ed Bott FoxClocks adds World Times in your Statusbar (Firefox) Have Fun Editing Photo Editing with Citrify Outlook Connector Upgrade Error

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 13 14 15 16 17 18 19 20 21 22 23 24  | Next Page >