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SmartDate already has a field to control whether an empty date represents the largest or smallest possible date. This field is exposed as a property so that other code can determine how dates are handled: public bool EmptyIsMin { get { return !_emptyIsMax; } } SmartDate also implements an IsEmpty property, so that code can ask if the SmartDate object represents an empty date: public bool IsEmpty { get { if (!_emptyIsMax) return this.Date.Equals(DateTime.MinValue); else return this.Date.Equals(DateTime.MaxValue); } }

In this chapter, you looked at two applications of language-oriented symbolic programming. The first was algebraic symbolic differentiation and visualization, where you learned how to differentiate, simplify, and display algebraic expressions. The second was hardware modeling and verification using propositional logic and binary decision diagrams, where you saw how to use symbolic techniques to describe circuits as propositional logic formulae and then used brute-force and/or binary decision diagram techniques to analyze these for correctness.

Notice the use of the _emptyIsMax flag to determine whether an empty date is to be considered the largest or smallest possible date for comparison purposes. If it is the smallest date, then it is empty if the date value equals DateTime.MinValue; if it is the largest date, it is empty if the value equals DateTime.MaxValue.

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o far in this book you ve seen functions and objects that process their inputs immediately using a single thread of execution where the code runs to completion and produces useful results or state changes. In this chapter, you ll turn your attention to concurrent, parallel, asynchronous, and reactive programs. These each represent substantially different approaches to programming from those you ve seen so far. Some of the reasons for turning to these techniques are as follows: To achieve better responsiveness in a graphical user interface (GUI) To report progress results during a long-running computation and to support cancellation of these computations To achieve greater throughput in a reactive application or service To achieve faster processing rates on a multiprocessor machine or cluster To take advantage of the I/O parallelism available in modern disk drives or network connections To sustain processing while network and disk I/O operations are in process In this chapter, we cover some of the techniques that can help achieve these outcomes: Using .NET threads and the BackgroundWorker class for background computations Using events and messages to report results back to a GUI Using F# asynchronous workflows and the .NET thread pool to handle network requests and other asynchronous I/O operations Using F# pattern matching to process message queues Using low-level .NET shared-memory primitives to implement new concurrency techniques and control access to mutable data structures

Given this understanding of empty dates, it is possible to create a couple of functions to convert dates to text (or text to dates) intelligently. For consistency with other .NET types, SmartDate will also include a Parse() method to convert a string into a SmartDate. These will be static methods so that they can be used even without creating an instance of SmartDate. Using these methods, a developer can write business logic such as this: DateTime userDate = SmartDate.StringToDate(userDateString); Table 5-4 shows the results of this function, based on various user text inputs. Table 5-4. Results of the StringToDate Method Based on Various Inputs

If you want to comment out multiple lines like that, you can place a forward slash and an asterisk at the start of the comment block and an asterisk and forward slash at the end: /* Note to self: comments are good */

In 11 we looked at the most common type of reactive program: GUI programs that respond to events raised on the GUI thread. The inner loop of such an application (contained

true (default) false true or false (ignored)

Result of StringToDate()

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