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git-svn-id: https://svn.code.sf.net/p/turtle/code/trunk@571 860be788-9bd5-4423-9f1e-828f051e677b
80 lines
1.8 KiB
Text
80 lines
1.8 KiB
Text
[section Motivation]
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Consider a (very) simple calculator class :
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class calculator
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{
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public:
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int add( int a, int b );
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};
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Obviously writing unit tests for such a class is trivial, one of them could be :
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BOOST_AUTO_TEST_CASE( zero_plus_zero_is_zero )
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{
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calculator c;
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BOOST_CHECK_EQUAL( 0, c.add( 0, 0 ) );
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}
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What now if the calculator class looks more like this :
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class view
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{
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public:
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virtual void display( int result ) = 0;
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};
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class calculator
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{
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public:
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calculator( view& v );
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void add( int a, int b ); // the result will be sent to the view 'v'
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};
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Writing unit tests becomes a bit more tedious and requires some boiler-plate code, for instance :
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class my_view : public view
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{
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public:
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my_view()
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: called( false )
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{}
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virtual void display( int result )
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{
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called = true;
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value = result;
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}
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bool called;
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int value;
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};
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BOOST_AUTO_TEST_CASE( zero_plus_zero_is_zero )
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{
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my_view v;
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calculator c( v );
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c.add( 0, 0 );
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BOOST_REQUIRE( v.called );
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BOOST_CHECK_EQUAL( 0, v.value );
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}
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Mock objects main purpose is to alleviate the user from the burden of writing all this boiler-plate code.
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Here is how the last test can be rewritten using a mock object :
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MOCK_BASE_CLASS( mock_view, view ) // declare a 'mock_view' class implementing 'view'
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{
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MOCK_METHOD( display, 1 ) // implement the 'display' method from 'view' (taking 1 argument)
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};
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BOOST_AUTO_TEST_CASE( zero_plus_zero_is_zero )
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{
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mock_view v;
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calculator c( v );
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MOCK_EXPECT( v.display ).once().with( 0 ); // expect the 'display' method to be called once (and only once) with a parameter value equal to 0
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c.add( 0, 0 );
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}
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and all the checks are automatically handled by the library.
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[endsect]
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