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Although in principle the generated stub is responsible for implementing the calling convention adopted by the native code receiving the function pointer, the CLR supports only the stdcall calling convention for marshalling function pointers Thus, the native code should adopt this calling convention when invoking the pointer; this restriction may cause problems, but in general on the Windows platform the stdcall calling convention is widely used The following C function uses a function pointer to apply a function to an array of integers: typedef int (CALLBACK *TRANSFORM_CALLBACK)(int); void CINTEROPDLL_API transformArray(int* data, int count, TRANSFORM_CALLBACK fn) { int i; for (i = 0; i < count; i++) data[i] = fn(data[i]); } The TRANSFORM_CALLBACK type definition defines the prototype of the function pointer you re interested in here: a function taking an integer as the input argument and returning an integer as a result.

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decode DataMatrix codes from images in various formats * encode strings to images containing ... NET barcode reader and generator SDK for developers.

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metadata to customize the dashlet, instead of having to rely on PHP code. Listing 5-2 shows the child class for the sample ApplicantsDashlet. Listing 5-2. ApplicantsDashlet Class

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The CALLBACK macro is specific to the Microsoft Visual C++ compiler and expands to __stdcall in order to indicate that the function pointer, when invoked, should adopt the stdcall calling convention instead of the cdecl calling convention The transformArray function takes as input an array of integers with its length and the function to apply to its elements You now have to define the F# prototype for this function by introducing a delegate type with the same signature as TRANSFORM_CALLBACK: type Callback = delegate of int -> int [<DllImport("CInteropDLL", CallingConvention=CallingConventionCdecl)>] extern void transformArray(int[] data, int count, Callback transform); Now, you can increment all the elements of an array by using the C function: let data = [| 1; 2; 3 |] printf "%s\n" (stringJoin("; ", (Arraymap any_to_string data))) CInteroptransformArray(data, dataLength, new CInteropCallback(fun x -> x + 1)) printf "%s\n" (stringJoin("; ", (Array.

map any_to_string data))).

For more information on Access and SQL Server, see the following: Microsoft Office Access 2007: http://office.microsoft.com/en-us/access/ FX100487571033.aspx Access 2003 Product Information: http://www.microsoft.com/office/access/prodinfo SQL Server 2005 Overview: http://www.microsoft.com/sql/prodinfo/overview

Note The power of function types to model many different concepts is part of the enduring appeal of functional

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require_once('include/Dashlets/DashletGeneric.php'); require_once('modules/ApplicantsDashlet/ApplicantsDashlet.php'); class ApplicantsDashlet extends DashletGeneric { public function __construct( $id, $def = null ) { global $current_user, $app_strings; require('modules/ApplicantsDashlet/metadata/dashletviewdefs.php'); parent::DashletGeneric($id, $def); if(empty($def['title'])) $this->title = translate('LBL_HOMEPAGE_TITLE', 'test_basic'); $this->searchFields = $dashletData['ApplicantsDashlet']['searchFields']; $this->columns = $dashletData['ApplicantsDashlet']['columns']; } $this->seedBean = new ApplicantsDashlet();

programming. This is one of the refreshing features F# brings to object-oriented programming: many simple abstractions are modeled in very simple ways and often have simple implementations through orthogonal, unified constructs such as anonymous function values and function compositions.

efore you create your database s data tables and fill those tables with values, you should set aside some time for defining your data. You start defining your data by determining the goals, results, or outcomes that you want your data to help you achieve. Next, you determine the technical requirements for gathering, entering, storing, using, and analyzing your data. Equipped with this information, you can better select a suitable database management system and better design your tables, fields, and table relations.

It s common to use data to drive control. In functional programming, the distinction between data and control is often blurred: function values can be used as data, and data can influence control flow. One example is using a function such as List.iter to iterate over a list: let sites = [ "http://www.live.com"; "http://www.google.com"; "http://search.yahoo.com" ] sites |> List.iter (fun site -> printfn "%s, length = %d" site (http site).Length) List.iter simply calls the given function (here an anonymous function) for each element in the input list. Here is its type: val iter : ('T -> unit) -> 'T list -> unit Many additional aggregate iteration techniques are defined in the F# and .NET libraries, particularly by using values of type seq<type>, discussed in Getting Started with Sequences later in this chapter.

All the constructor does here is point everything in the correct direction. You start off by loading the definition file, which contains both the searchfields and the columns for the dashlet. You also set the title and then the bean object for the module. The next part is defining the search and column fields. For this, you ll have a dashletviewdefs.php file in the module, defined in the metadata directory of the module (see Listing 5-3). Listing 5-3. ApplicantsDashlet Metadata

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