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The julian_init() function takes three arguments: UDF_INIT, a structure that the method can use to pass information among the UDF methods UDF_ARGS, a structure that contains the number of arguments, the type of arguments, and the arguments A string that the method should return if an error occurs The julian() method takes four arguments: The UDF_INIT structure completed by the julian_init() function A UDF_ARGS structure that contains the number of arguments, the type of arguments, and the arguments A char pointer that is set to 1 if the result is null A message that is sent to the caller if an error occurs The julian_deinit() function uses the UDF_INIT structure completed by the julian_init() function When a method is called from the server, a new UDF_INIT structure is created and passed to the function, the arguments are placed in the UDF_ARGS structure, and the julian_init() function is called.

Queues the asynchronous computation, initially as a work item in the thread pool. When its result is available, executes the given callback by posting a message to the synchronization context of the thread that called SpawnThenPostBack. Useful for returning the results of asynchronous computations to a GUI application. Queues the asynchronous computation as an operation in the thread pool and returns an object that can be used to later rendezvous with its result.

Now that you ve modeled the initial hardware circuits, you can check simple properties of these circuits. For example, you can check that if you give a fullAdder all low (that is, false) inputs, then the output wires may be low as well, and, conversely, that you have a contradiction if one of the output wires is high:

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If that function returns without errors, the julian() function is called with the UDF_INIT structure from the julian_init() function After the julian() function completes, the julian_deinit() function is called to clean up the values saved in the UDF_INIT structure Listing 8-6 shows an excerpt of the extern section of the file with the JULIAN functions added Listing 8-6 The extern Declarations for JULIAN (expert_udfcc) extern "C" { my_bool julian_init(UDF_INIT *initid, UDF_ARGS *args, char *message); longlong julian(UDF_INIT *initid, UDF_ARGS *args, char *is_null, char *error); void julian_deinit(UDF_INIT *initid); .. You can now add the implementation for these functions I find it helpful to copy the example functions that match my return types and then modify them to match my needs The julian_init() function is responsible for initializing variables and checking correct usage Since the JULIAN function requires three integer parameters, you need to add appropriate error handling to enforce this.

Asynchronous programming is becoming more widespread because of the use of multicore machines and networks in applications, and many .NET APIs now come with both synchronous and asynchronous versions of their functionality. For example, all web service.APIs generated by .NET tools have asynchronous versions of their requests. A quick scan of the .NET API documentation on the Microsoft website reveals the asynchronous operations listed in Table 13-5. These all have equivalent Async<'a> operations defined in the F# libraries as extensions to the corresponding .NET types.

> tautology (fullAdder Lo Lo Lo Lo Lo);; val it : bool = true > satisfiable (fullAdder Lo Lo Lo Hi Lo);; val it : bool = false It s of course much better to check these results symbolically by giving symbolic inputs. For example, you can check that if the same value is given to the two inputs of a halfAdder, then the sum output is low and the carry output is the same as the input: > tautology (halfAdder (var "x") (var "x") Lo (var "x"));; val it : bool = true Likewise, you can check that a 2-bit adder is commutative in other words, that it doesn t matter if you swap the x and y inputs: > tautology (nBitCarryRippleAdder 2 (vec 2 "x") (vec 2 "y") (vec 2 "sum") (vec 3 "carry") === nBitCarryRippleAdder 2 (vec 2 "y") (vec 2 "x") (vec 2 "sum") (vec 3 "carry"));; val it : bool = true However, if you repeat the same for sizes of 5 or bigger, things start to slow down, and the naive implementation of checking propositional logic tautology based on truth tables begins to break down. Hence, you have to turn to more efficient techniques to process propositional formulae.

Listing 8-7 shows the implementation of the julian_init() function..

Read a stream of bytes asynchronously. See also FileStream, NetworkStream, DeflateStream, IsolatedStorageFileStream, and SslStream. Write a stream of bytes asynchronously. See also FileStream. Accept an incoming network socket request asynchronously. Receive data on a network socket asynchronously. Send data on a network socket asynchronously. Make an asynchronous web request. See also FtpWebRequest, SoapWebRequest, and HttpWebRequest.

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