PLearn 0.1
AutoVMatrixTest.cc
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00001 // -*- C++ -*-
00002 
00003 // AutoVMatrixTest.cc
00004 //
00005 // Copyright (C) 2005 Nicolas Chapados
00006 // Copyright (C) 2005 Olivier Delalleau
00007 // Copyright (C) 2005 Christian Dorion
00008 //
00009 // Redistribution and use in source and binary forms, with or without
00010 // modification, are permitted provided that the following conditions are met:
00011 //
00012 //  1. Redistributions of source code must retain the above copyright
00013 //     notice, this list of conditions and the following disclaimer.
00014 //
00015 //  2. Redistributions in binary form must reproduce the above copyright
00016 //     notice, this list of conditions and the following disclaimer in the
00017 //     documentation and/or other materials provided with the distribution.
00018 //
00019 //  3. The name of the authors may not be used to endorse or promote
00020 //     products derived from this software without specific prior written
00021 //     permission.
00022 //
00023 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
00024 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
00025 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN
00026 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
00027 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
00028 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
00029 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
00030 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
00031 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
00032 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
00033 //
00034 // This file is part of the PLearn library. For more information on the PLearn
00035 // library, go to the PLearn Web site at www.plearn.org
00036 
00037 /* *******************************************************
00038    * $Id: .pyskeleton_header 544 2003-09-01 00:05:31Z plearner $
00039    ******************************************************* */
00040 
00041 // Authors: Nicolas Chapados, Olivier Delalleau, Christian Dorion
00042 
00046 #include "AutoVMatrixTest.h"
00047 
00048 namespace PLearn {
00049 using namespace std;
00050 
00051 PLEARN_IMPLEMENT_OBJECT(
00052     AutoVMatrixTest,
00053     "Test various VMat conversions.",
00054     ""
00055 );
00056 
00058 // AutoVMatrixTest //
00060 AutoVMatrixTest::AutoVMatrixTest()
00061     /* ### Initialize all fields to their default value */
00062 {
00063     // ...
00064 
00065     // ### You may (or not) want to call build_() to finish building the object
00066     // ### (doing so assumes the parent classes' build_() have been called too
00067     // ### in the parent classes' constructors, something that you must ensure)
00068 }
00069 
00071 // build //
00073 void AutoVMatrixTest::build()
00074 {
00075     inherited::build();
00076     build_();
00077 }
00078 
00080 // makeDeepCopyFromShallowCopy //
00082 void AutoVMatrixTest::makeDeepCopyFromShallowCopy(CopiesMap& copies)
00083 {
00084     inherited::makeDeepCopyFromShallowCopy(copies);
00085 
00086     // ### Call deepCopyField on all "pointer-like" fields
00087     // ### that you wish to be deepCopied rather than
00088     // ### shallow-copied.
00089     // ### ex:
00090     // deepCopyField(trainvec, copies);
00091 
00092     // ### Remove this line when you have fully implemented this method.
00093     PLERROR("AutoVMatrixTest::makeDeepCopyFromShallowCopy not fully (correctly) implemented yet!");
00094 }
00095 
00097 // declareOptions //
00099 void AutoVMatrixTest::declareOptions(OptionList& ol)
00100 {
00101     // ### Declare all of this object's options here
00102     // ### For the "flags" of each option, you should typically specify
00103     // ### one of OptionBase::buildoption, OptionBase::learntoption or
00104     // ### OptionBase::tuningoption. Another possible flag to be combined with
00105     // ### is OptionBase::nosave
00106 
00107     // ### ex:
00108     // declareOption(ol, "myoption", &AutoVMatrixTest::myoption, OptionBase::buildoption,
00109     //               "Help text describing this option");
00110     // ...
00111 
00112     // Now call the parent class' declareOptions
00113     inherited::declareOptions(ol);
00114 }
00115 
00117 // build_ //
00119 void AutoVMatrixTest::build_()
00120 {
00121     // ### This method should do the real building of the object,
00122     // ### according to set 'options', in *any* situation.
00123     // ### Typical situations include:
00124     // ###  - Initial building of an object from a few user-specified options
00125     // ###  - Building of a "reloaded" object: i.e. from the complete set of all serialised options.
00126     // ###  - Updating or "re-building" of an object after a few "tuning" options have been modified.
00127     // ### You should assume that the parent class' build_() has already been called.
00128 }
00129 
00130 void save_load_compare( const AutoVMatrix& vm,
00131                         const PPath& prefix,
00132                         const PPath& base,
00133                         const string& ext, int dot )
00134 {
00135     PPath save_to = prefix + PPath(base).replace(dot, base.length(), ext);
00136     if ( ext == ".amat" )
00137         vm.saveAMAT( save_to );
00138     else if ( ext == ".pmat" )
00139         vm.savePMAT( save_to );
00140     else if ( ext == ".dmat" )
00141         vm.saveDMAT( save_to );
00142     else
00143         PLERROR("!!!");
00144 
00145     AutoVMatrix reloaded( save_to );
00146     bool success = ( vm.toMat().isEqual( reloaded.toMat() ) );
00147     if ( success )
00148     {MAND_LOG << "Save and load suceeded on " << save_to << endl << endl;}
00149     else
00150     {MAND_LOG << "!!! Save and load FAILED on " << save_to << endl << endl;}
00151 }
00152 
00153 void unitTest(const PPath& path)
00154 {
00155     AutoVMatrix vm(path);
00156     MAND_LOG << vm << endl;
00157 
00158     Mat m(vm);
00159     MAND_LOG << m << endl;
00160 
00161     PPath base       = path.basename();
00162     unsigned int dot = base.rfind('.');
00163     base[dot]        = '_';
00164     PPath prefix     = base + "__to__";
00165 
00166     save_load_compare( vm, prefix, base, ".amat", dot );
00167     save_load_compare( vm, prefix, base, ".pmat", dot );
00168     save_load_compare( vm, prefix, base, ".dmat", dot );
00169 }
00170 
00171 inline void UNIT_TEST(const string& argument)
00172 {
00173     MAND_LOG << plhead(argument) << endl;
00174     try {
00175         unitTest(argument);
00176         MAND_LOG << endl;
00177     }
00178     catch(const PLearnError& e)
00179     {
00180         perr << "FATAL ERROR: " << e.message() << endl << endl;
00181     }
00182     catch (...)
00183     {
00184         perr << "FATAL ERROR: uncaught unknown exception" << endl << endl;
00185     }
00186 }
00187 
00188 
00190 // perform //
00192 void AutoVMatrixTest::perform()
00193 {
00194     try {
00195         PL_Log::instance().verbosity(VLEVEL_NORMAL);
00196         PL_Log::instance().outmode(PStream::plearn_ascii);
00197 
00198         UNIT_TEST("PLEARNDIR:examples/data/test_suite/linear_4x_2y.amat");
00199         UNIT_TEST("PLEARNDIR:examples/data/test_suite/linear_4x_2y.pmat");
00200         UNIT_TEST("PLEARNDIR:examples/data/test_suite/eslt_mixture/data_train.amat");
00201     }
00202     catch(const PLearnError& e)
00203     {
00204         perr << "FATAL ERROR: " << e.message() << endl << endl;
00205     }
00206     catch (...)
00207     {
00208         perr << "FATAL ERROR: uncaught unknown exception" << endl << endl;
00209     }
00210 
00211 }
00212 
00213 } // end of namespace PLearn
00214 
00215 
00216 /*
00217   Local Variables:
00218   mode:c++
00219   c-basic-offset:4
00220   c-file-style:"stroustrup"
00221   c-file-offsets:((innamespace . 0)(inline-open . 0))
00222   indent-tabs-mode:nil
00223   fill-column:79
00224   End:
00225 */
00226 // vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=79 :
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