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After you've got a Font object, you can interrogate it for all kinds of properties, such as its family, its name (which will be the same as the family name), and a couple of GDI properties for Win32 interoperability Most importantly, you'll probably want to know about a font's style, using either he Style property of type FontStyle or using individual properties: // The hard way bool bold1 = (thisFontStyle & FontStyleBold)== FontStyleBold; // The easy way bool bold2 = thisFontBold;.SizeF layoutArea = thisClientRectangleSize; // New line character '\n' will force text to next line string s = "a string that will\ntake at least two lines"; SizeF size = gMeasureString(s, thisFont, layoutArea); The Width property returned in the SizeF object is the width of the longest wrapped line, and the Height is the number of lines needed to show the string multiplied by the height of the font (up to the maximum height specified in the layout area) The height used as the multiplier isn't the height of the font as specified For example, 12 points would be 16 pixels at 96 dpi, but that's not the value that's used Instead, the height is approximately 115% of that, or about 184 pixels for a 12-point font at 96 dpi This expanded value is exposed from the FontGetHeight method and is meant to maximize readability when lines of text are drawn one after another For example, if you wanted to handle wrapping yourself, you could lay out text one line at a time, incrementing the y value by the esult of Font GetHeight: foreach( string line in multilineSplit('\n') ) { float width = manualPanelClientRectangleWidt. In Visual Studio .NET Using Barcode generator for ASP .Related: Print EAN-8 .NET , .NET UPC-E Generator , ISBN Generator .NET

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The idea of testing software is fairly obvious,1 but the GWT philosophy is based on testing everything automatically, without anybody s intervention, as an aid to bug prevention and detection at the earliest time2 The Google Testing Blog (athttp://googletesting blogspotcom/) goes as far as including the motto Debugging sucks; Testing Rocks at the top of the page Another saying is If it s not tested, it s broken ; untested code can (and must be assumed to) contain any number of bugs Automatic testing lies at the heart of techniques such as test-driven development (TDD) and methodologies like Scrum3 and Extreme Programming (XP)4 The main idea is to develop code, with a method based on repetitions of a short development cycle loop: First you write an (obviously failing) automated test case for a new functionality This isn t a waste of time; if a test for a yet-unwritten function should pass, then something is obviously very wrong with your test Then you write code that implements the said functionality and passes he test It goes without saying that all previous tests should also pass; your code shouldn t break other code!. Download from wwwwowebookcom. UPC - 13 Encoder In Visual Studio .NET Using Barcode maker for Visual .Related: Excel EAN-8 Generator , .NET WinForms EAN-8 Generator , Java Data Matrix Generation

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If an API is to be usable, it must be documented Traditionally API documentation was generated manually, and keeping documentation in sync with code was a big chore The Java programming environment eases this task with a utility called Javadoc This utility generates API documentation automatically from source code in conjunction with specially formatted documentation comments, more commonly known as doc comments The Javadoc utility provides an easy and effective way to document your APIs, and its use is widespread If you are not already familiar with the doc comment conventions, you should learn them While these conventions are not part of the Java programming language, they constitute a de facto API that every programmer should know The conventions are defined The Javadoc Tool Home Page [Javadoc-b] To document your API properly, you must precede every exported class, interface, constructor, method, and field declaration with a doc comment, subject to one exception discussed at the end of this item In the absence of a doc comment, the best that Javadoc can do is to reproduce the declaration as the sole documentation for the affected API element It is frustrating and error-prone to use an API with missing documentation comments To write maintainable code, you should also write doc comments for unexported classes, interfaces, constructors, methods, and fields The doc comment for a method should describe succinctly the contract between the method and its client With the exception of methods in classes designed for inheritance (Item 15), the contract should say what the method does rather than how it does its job The doc comment should enumerate all of the method's preconditions, which are the things that have to be true in order for a client to invoke it, and its postconditions, which are the things that will be true after the invocation has completed successfully Typically, preconditions are described implicitly by the @throws tags for unchecked exceptions; each unchecked exception corresponds to a precondition violation Also, preconditions can be specified along with the affected parameters in their @param tags In addition to preconditions and postconditions, methods should document any side effects A side effect is an observable change in the state of the system that is not obviously required to achieve the postcondition For example, if a method starts a background thread, the documentation should make note of it Finally, documentation comments should describe the thread safety of a class, as discussed in Item 52 To describe its contract fully, the doc comment for a method should have a @param tag for every parameter, a @return tag unless the method has a void return type, and a @throws tag for every exception thrown by the method, whether checked or unchecked (Item 44) By convention the text following a @param tag or @return tag should be a noun phrase describing the value represented by the parameter or return value The text ollowing a @throws tag should consist of the word if, followed by a noun phrase describing the conditions under which the exception is thrown Occasionally, arithmetic expressions are used in place of noun phrases All of these conventions are illustrated in the following short doc comment, which comes from the List interface:.

Generally, you want to partition services based on their logical function This means you have to consider each piece of functionality in an pplication and determine which parts fit logically together For some boundaries, this is a straightforward decision In the social feed reader, one service decision stands out as being driven by logical function: updating feeds This service really sits apart from the application Its only purpose is to download XML files, parse them, and insert the new entries into the data store It doesn t make sense to include this in the application server, user service, or any other service Even as part of the Rails application, the updating of feeds exists as a process that runs outside the request/response life cycle of the user In some cases, a feed update may be triggered by user interaction, while that update still occurs outside the request by getting routed to the Delayed Job queue Given that this separation already exists, it makes sense to pull the feed updater into its own service so that it can remain isolated In this way, you can optimize how and when feeds get updated without any other part of the system knowing about these changes The feed updater service highlights the advantages of isolated testability When the application is updated, the updater service need not be tested; conversely, when the feed update system is improved or updated, the application layer doesn t need to be redeployed or tested The feed and feed entry storage service is also separated logically Users can subscribe to feeds, but they don t own them All users of the system share feed and entry data, so this data can be seen as logically separate from users Other examples of services that are logically separated in applications are those for sending email, monitoring systems, collecting statistics, or connecting with external data entities (such as feed updaters, crawlers, or other external APIs) Lower-level services are also partitioned based on logical function As part of your infrastructure, you may decide that a shared key value store is useful for multiple services Similarly, a shared messaging system or queue system might be useful for many.

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