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INTEGER ADD_OPERATOR SCALE_OPERATOR EXPRESSION TERM FACTOR ::= ::= ::= ::= ::= ::= \d+ '+' | '-' '*' | '/' TERM (ADD_OPERATOR TERM)* FACTOR (SCALE_OPERATOR FACTOR)* '-' (INTEGER | '(' EXPRESSION ')')

WF activities are the building block of work ow programs Each activity typically performs one task, such as calling a method on a class, calling a Web service, or invoking another program WF ships with a few built-in activities, and developers can create their own activities by inheriting from one of the activity base classes There are at least four ways to invoke a service from WF: use the Send activity, write a custom activity, use the InvokeWebService activity, or use the Code activity The Send activity is best for calling WCF or other interoperable Web services and is introduced in NET 35 for exactly this purpose A custom activity is a lightweight mechanism for encapsulating code that can be easily reused across work ows The InvokeWebService activity is useful when calling ASMX Web services but doesn t have any advantages over the Send activity A Code activity is, well, code Of these four, this chapter covers the Send activity and writing a custom activity First we ll call a Web service using a Send activity, and then we ll write a very simple custom activity and use it instead

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[ Team LiB ]

The precedence relationships are set up by the way we combine expressions, terms, and factors, while the associativities are set up by the structure of each of the expression, term, and factor s nonterminals de nitions If we need right to left associativity, we can use the following structure:

POWER_EXPRESSION ::= FACTOR ('**' POWER_EXPRESSION)*

The recursive use of POWER_EXPRESSION forces the parser to work right to left Dealing with precedence and associativity can be avoided altogether: We can simply insist that the data or DSL uses parentheses to make all the relationships explicit Although this is easy to do, it isn t doing any favors for the users of our data format or of our DSL, so we prefer to incorporate precedence and associativity where they are appropriate There is a lot more to parsing than we have mentioned here see, for example, the book Parsing Techniques: A Practical Guide, mentioned in the bibliography Nonetheless, this chapter should be suf cient to get started, although additional reading is recommended for those planning to create complex and sophisticated parsers

Listing 111 shows the interface of the service that will be used in this accepts a simple type as input and returns a complex example type, Create a project in Visual Studio 2008 using the Sequential Work ow Console Application template in the Work ow folder This template ) that implements the work ow and a includes a class le ( ) that initializes the work ow runtime and main program ( starts an instance of the work ow class

[ Team LiB ]

Another way to avoid precedence and associativity and which doesn t require parentheses is to use a Polish or Reverse Polish notation; see wikipediaorg/wiki/Polish_notation

Now that we have a passing familiarity with BNF syntax and with some of the terminology used in parsing, we will write some parsers, starting with ones written by hand

In this section we will develop three handcrafted parsers The rst is little more than an extension of the key value regex seen in the previous chapter, but shows the infrastructure needed to use such a regex The second is also regex-based, but is actually a nite state automata since it has two states Both the rst and second examples are data parsers The third example is a parser for a DSL and uses recursive descent since the DSL allows expressions to be nested In later sections we will develop new versions of these parsers using PyParsing and PLY, and for the DSL in particular we will see how much easier it is to use a generic parser generator than to handcraft a parser

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