C++ Library for Neural Networks — Use libneuron to design neural networks with back propagation and evolution.
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41 lines
1.2 KiB
41 lines
1.2 KiB
/** @id $Id$ |
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This file has been added: |
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- by bootstrap.sh |
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- on Wed, 24 August 2016 16:36:14 +0200 |
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*/ |
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// 1 2 3 4 5 6 7 8 |
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// 45678901234567890123456789012345678901234567890123456789012345678901234567890 |
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#include <cppunit/TestFixture.h> |
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#include <cppunit/ui/text/TestRunner.h> |
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#include <cppunit/extensions/HelperMacros.h> |
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#include <cppunit/extensions/TestFactoryRegistry.h> |
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#include <cppunit/XmlOutputter.h> |
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#include <fstream> |
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/// @todo Rename DummyTest and DummyTest::dummy() |
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/// @todo Write test cases |
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class DummyTest: public CppUnit::TestFixture { |
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public: |
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void dummy() { |
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} |
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CPPUNIT_TEST_SUITE(DummyTest); |
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CPPUNIT_TEST(dummy); |
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CPPUNIT_TEST_SUITE_END(); |
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}; |
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CPPUNIT_TEST_SUITE_REGISTRATION(DummyTest); |
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int main(int argc, char** argv) try { |
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std::ofstream ofs((*argv+std::string(".xml")).c_str()); |
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CppUnit::TextUi::TestRunner runner; |
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runner.setOutputter(new CppUnit::XmlOutputter(&runner.result(), ofs)); |
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runner.addTest(CppUnit::TestFactoryRegistry::getRegistry().makeTest()); |
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return runner.run() ? 0 : 1; |
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} catch (std::exception& e) { |
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std::cerr<<"***Exception: "<<e.what()<<std::endl; |
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return 1; |
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}
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