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All these tests are implemented in the unit test class shown in Listing 16-2. The class inherits QObject and includes Q_OBJECT. The different tests are then implemented as private slots. Notice that the special slots have been left out because you won t be doing any special initialization or cleaning up. The tests have been divided into testAddDays, testAddMonths, testAddYears, and testValid. The first three tests add days, months and years; the last test checks that isValid method works correctly. Listing 16-2. The DateTest class holds the tests for the QDate class. class DateTest : public QObject { Q_OBJECT private slots: void testAddDay(); void testAddMonth(); void testAddYear(); void testValid(); }; Starting from the bottom, look at the testValid method (its implementation is shown in Listing 16-3). The test starts by setting a date and then testing the QVERIFY macro to see whether the isValid method returns the expected value. The QVERIFY(bool) macro is part of the QtTest module, used to verify whether a given expression is true. If you want to associate a specific error message when the expression is false, you can use the QVERIFY2(bool,string) macro, which prints the string when a problem occurs. As soon as a test macro fails, the current test case is aborted, so you don t have to worry about future macros failing as a result of the first problem. If you need to clean anything up, do so in the special cleanup slot. The first test checks that an unspecified date is invalid and a valid date is valid. So February 29 is valid in 1980 (a leap year), but is invalid in 1979. Listing 16-3. Testing that the isValid method works as expected void DateTest::testValid() { QDate date;

Second, note that XML-RPC function calls, like those of Python and many other languages in its lineage, can take several arguments, but can only return a single result value That value might be a complex data structure, but it will be returned as a single result And the protocol does not care whether that result has a consistent shape or size; the list returned by quadratic() (yes, I was tired of all of the simple add() and subtract() math functions that tend to get used in XML-RPC examples!) varies in its number of elements returned without any complaint from the network logic Third, note that the rich variety of Python data types must be reduced to the smaller set that XMLRPC itself happens to support In particular, XML-RPC only supports a single sequence type: the list.

QVERIFY( !date.isValid() ); date = QDate( 1979, 5, 16 ); QVERIFY( date.isValid() );

So when we supply remote_repr() with a tuple of three items, it is actually a list of three items that gets received at the server instead This is a common feature of all RPC mechanisms when they are coupled with a particular language; types they do not directly support either have to be mapped to a different data structure (as our tuple was here turned into a list), or an exception has to be raised complaining that a particular argument type cannot be transmitted Fourth, complex data structures in XML-RPC can be recursive; you are not restricted to arguments that have only one level of complex data type inside Passing a dictionary with another dictionary as one of its values works just fine, as you can see.

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